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# AppWorld
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Experiment Quick Start Guide
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This guide helps you quickly set up and run AppWorld experiments with ReMe integration.
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## Env Setup
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### 1. Clone the Repository
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```bash
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe/benchmark/appworld
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```
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### 2. Appworld Environment Setup
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Create a new conda environment with Python 3.12:
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```bash
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conda create -p ./appworld-env python==3.12
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conda activate ./appworld-env
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```
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Install required Python packages:
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```bash
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pip install -r requirements.txt
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```
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Install AppWorld and download the dataset:
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```bash
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pip install appworld
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appworld install
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appworld download data
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```
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**Note**: The AppWorld data will be saved in the current directory.
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### 3. Start ReMe Service
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Install ReMe (if not already installed)
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If you haven't installed the ReMe environment yet, follow these steps:
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```bash
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# Go back to the project root
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cd ../..
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# Create ReMe environment
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conda create -p ./reme-env python==3.12
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conda activate ./reme-env
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# Install ReMe
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pip install .
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```
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Launch the ReMe service to enable memory library functionality:
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```bash
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reme2 \
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backend=http \
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http.port=8002 \
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llms.default.model_name=qwen3-8b \
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embedding_models.default.model_name=text-embedding-v4 \
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vector_stores.default.backend=es \
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vector_stores.default.collection_name=appworld \
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vector_stores.default.hosts=http://xx.yy.zz.mm:nn
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```
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### 4. Common Issues
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**AppWorld data not found**: Ensure `appworld download data` completed successfully
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**pydantic version issue**: AppWorld depends on an older version of pydantic, which is why a separate environment is needed. If you encounter issues running the experiments, try `pip install appworld` to override the dependencies.
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|
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## Run Experiments
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### 1. Test: With Memory vs Without Memory
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Run the main experiment script to compare performance with and without memory:
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|
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```bash
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python run_appworld.py
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```
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|
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**What this does:**
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- Runs AppWorld tasks on the test-normal set
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- Compares agent performance with ReMe memory (`use_memory=True`) vs without memory
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- Uses multiple workers for parallel processing
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- Runs each task multiple times for statistical significance
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- Results are automatically saved to `./exp_result/` directory
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**Configuration options in `run_appworld.py`:**
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- `max_workers`: Number of parallel workers (default: 16)
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- `num_runs`: Number of times each task is repeated (default: 4)
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- `batch_size`: Number of concurrent tasks per batch (default: 8)
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- `num_trials`: Maximum number of self-reflections, failure-aware reflection mechanism is triggered when num_trials>1 (default: 1)
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- `model_name`: Task execution model (default: "qwen3-8b")
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- `use_memory`: Whether to use ReMe memory library (default: True)
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- `use_memory_addition`: Whether to enable selective addition (default: False)
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- `use_memory_deletion`: Whether to enable utility-based deletion (default: False)
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|
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### 2. View Experiment Results
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After running experiments, analyze the statistical results:
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```bash
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python run_exp_statistic.py
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```
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|
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**What this script does:**
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- Processes all result files in `./exp_result/`
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- Calculates best@k, pass@k metrics for different k values
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- Generates a summary table showing performance comparisons
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- Saves results to `experiment_summary.csv`
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|
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**Metrics explained:**
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- `best@k`: Takes groups of k runs per task, finds the maximum score in each group, then averages these maximums
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- `pass@k`: Takes groups of k runs per task, measures the probability that at least one out of k independent task runs is successful.
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- Higher k values show potential performance, lower k values show consistency
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- In our AppWorld experiments, we report Task Goal Completion (TGC) metric, which measures percentage of tasks for which the agent passes all evaluation tests.
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|
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**Output Files**
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- `./exp_result/*.jsonl`: Raw experiment results for each configuration
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- `./exp_result/experiment_summary.csv`: Statistical summary table
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- Console output: Real-time progress and summary statistics
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|
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@ -1,7 +0,0 @@
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fastapi
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uvicorn
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uuid
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jinja2
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loguru
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openai
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||||
pandas
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||||
|
|
@ -1,129 +0,0 @@
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# BFCL
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Experiment Quick Start Guide
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|
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This guide helps you quickly set up and run BFCL experiments with ReMe integration.
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|
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## Env Setup
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|
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### 1. BFCL installation
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#### Clone the repository
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```bash
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cd ReMe/benchmark/bfcl
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git clone https://github.com/ShishirPatil/gorilla.git
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cd gorilla
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git checkout ea13468
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```
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#### Change directory to the `berkeley-function-call-leaderboard`
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```bash
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cd berkeley-function-call-leaderboard
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```
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#### Install the package in editable mode
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```bash
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pip install -e .
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cd ../..
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pip install -r requirements.txt
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```
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#### Move the dataset to the data folder under bfcl
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```bash
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cp -r gorilla/berkeley-function-call-leaderboard/bfcl_eval/data ./
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```
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#### Preprocess the data to get the suitable data format
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```bash
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python preprocess.py
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```
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**Note**: The original BFCL data is designed as a benchmark dataset and does not have a train/validation split, you can use ``split_into_trainval.py`` to split data into train and validation sets.
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|
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```bash
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python split_into_trainval.py --input ./data/multiturn_data_base.jsonl --train ./data/multiturn_data_base_train.jsonl --val ./data/multiturn_data_base_val.jsonl
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```
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||||
|
||||
### 2. Start ReMe Service
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||||
|
||||
After collecting trajectories, Launch the ReMe service (make sure you have installed ReMe environment, if not please follow the steps in the [ReMe Installation Guide](https://github.com/agentscope-ai/ReMe/blob/main/doc/README.md) to install):
|
||||
|
||||
```bash
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reme2 \
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backend=http \
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http.port=8002 \
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llms.default.model_name=qwen3-8b \
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embedding_models.default.model_name=text-embedding-v4 \
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vector_stores.default.backend=local \
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vector_stores.default.collection_name=bfcl
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```
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|
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<details>
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<summary>Option: init the task memory pool from scratch</summary>
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- First, collect agent trajectories on training data set without task memory:
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|
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```bash
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# important: num_runs = 8, use_memory = False, experiment_suffix="wo-memory", data_path="data/multiturn_data_base_train.jsonl"
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python run_bfcl.py
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```
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|
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- Second, using ReMe to construct the initial task memory pool:
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```bash
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python init_task_memory_pool.py --jsonl_file ./exp_result/qwen3-8b/with_think/bfcl-multi-turn-base_wo-memory.jsonl
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```
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|
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> Parameters:
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> `jsonl_file`: Path to the collloaded trajectories
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||||
> `service_url`: ReMe service URL (default: `http://localhost:8002`)
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> `n_threads`: Number of threads for processing
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||||
> `output_file`: Output file to save results (optional)
|
||||
|
||||
Now you have inited the task memory pool using `local` backend. Then, run the following `curl` command to dump the memory library:
|
||||
```bash
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curl -X POST "http://0.0.0.0:8002/dump_memory" \
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-H "Content-Type: application/json" \
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||||
-d '{
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||||
"dump_file_path": "./library/bfcl.jsonl",
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}'
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```
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|
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- Next time, you can import this previously exported task memory data to populate the new started workspace with existing knowledge:
|
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```bash
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curl -X POST "http://0.0.0.0:8002/load_memory" \
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-H "Content-Type: application/json" \
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-d '{
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"load_file_path": "./library/bfcl.jsonl",
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||||
"clear_existing": true
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}'
|
||||
```
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||||
</details>
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||||
|
||||
### 3. Run Experiments on Validation Set
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|
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Run you can compare agent performance on the validation set with task memory (`use_memory=True`) and without task memory:
|
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|
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```bash
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# remember to change the configuration options, e.g., `data_path=./data/multiturn_data_base_val.jsonl`
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python run_bfcl.py
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```
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|
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**Note**:
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- `max_workers`: Number of parallel workers
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- `num_runs`: Number of times each task is repeated
|
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- `model_name`: LLM model name
|
||||
- `enable_thinking`: Control the model's thinking mode
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- `data_path`: Path to the training dataset (default: `./data/multiturn_data_base_val.jsonl`)
|
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- `answer_path`: Path to the possible answer, which are used to evaluate the model's output function (default: `./data/possible_answer`)
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- Results are automatically saved to `./exp_result/{model_name}/{no_think/with_think}` directory
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||||
|
||||
After running experiments, analyze the statistical results:
|
||||
|
||||
```bash
|
||||
python run_exp_statistic.py
|
||||
```
|
||||
|
||||
**What this script does:**
|
||||
- Processes all result files in `./exp_result/`
|
||||
- Calculates best@k&pass@k metrics for different k values
|
||||
- Generates a summary table showing performance comparisons
|
||||
- Saves results to `experiment_summary.csv`
|
||||
|
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@ -1,6 +0,0 @@
|
|||
jinja2
|
||||
loguru
|
||||
openai
|
||||
ray
|
||||
pandas
|
||||
soundfile
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||||
|
|
@ -1 +0,0 @@
|
|||
cat bench_results/reme/Martin\ Mark/session* | grep '"result_type": "' | awk -F'"' '{total++; if($4=="Correct") count++} END {printf "Correct Rate: %.2f%% (%d/%d)\n", (count/total)*100, count, total}'
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|
|
@ -1,547 +0,0 @@
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TEMPLATE_MEMOS: |
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Memories for user {user_id}:
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{memories}
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|
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PROMPT_MEMZERO_JSON: |
|
||||
# CONTEXT:
|
||||
{context}
|
||||
|
||||
# CONTEXT PRIORITY:
|
||||
When the context contains information from multiple sources, follow this strict priority order:
|
||||
1. **Historical Dialogue** (highest priority) - Direct conversation content
|
||||
2. **Extracted Memories** (medium priority) - Summarized memory points
|
||||
3. **User Profile** (lowest priority) - General user information
|
||||
|
||||
# Question:
|
||||
{question}
|
||||
|
||||
# OUTPUT FORMAT:
|
||||
Do not hallucinate; strictly answer the user's question based on the content of the CONTEXT.
|
||||
Please provide your response in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "reasoning content",
|
||||
"answer": "Provide a detailed answer"
|
||||
}}
|
||||
```
|
||||
|
||||
PROMPT_MEMZERO_JSON2: |
|
||||
# CONTEXT:
|
||||
{context}
|
||||
|
||||
# CONTEXT PRIORITY:
|
||||
When the context contains information from multiple sources, follow this strict priority order:
|
||||
1. **Historical Dialogue** (highest priority) - Direct conversation content
|
||||
2. **Extracted Memories** (medium priority) - Summarized memory points
|
||||
3. **User Profile** (lowest priority) - General user information
|
||||
|
||||
# Question:
|
||||
{question}
|
||||
|
||||
# OUTPUT FORMAT:
|
||||
Do not hallucinate; strictly answer the user's question based on the content of the CONTEXT.
|
||||
Please provide your response in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "reasoning content",
|
||||
"answer": "Provide a detailed answer"
|
||||
}}
|
||||
```
|
||||
|
||||
PROMPT_MEMZERO: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories from both speakers
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.),
|
||||
calculate the actual date based on the memory timestamp. For example, if a memory from
|
||||
4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example,
|
||||
convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory
|
||||
timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories from both speakers. Do not confuse character
|
||||
names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
PROMPT_ZEP: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.),
|
||||
calculate the actual date based on the memory timestamp. For example, if a memory from
|
||||
4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example,
|
||||
convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory
|
||||
timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories. Do not confuse character
|
||||
names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
Context:
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
Answer:
|
||||
|
||||
PROMPT_MEMOS: |
|
||||
You are a knowledgeable and helpful AI assistant.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories. Synthesize information across different entries if needed to form a complete answer.
|
||||
2. Pay close attention to the timestamps to determine the answer. If memories contain contradictory information, the **most recent memory** is the source of truth.
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories.
|
||||
4. Your answer must be grounded in the memories. However, you may use general world knowledge to interpret or complete information found within a memory (e.g., identifying a landmark mentioned by description).
|
||||
5. If the question involves time references (like "last year", "two months ago", etc.), you **must** calculate the actual date based on the memory's timestamp. For example, if a memory from 4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years in your final answer.
|
||||
7. Do not confuse character names mentioned in memories with the actual users who created them.
|
||||
8. The answer must be brief (under 5-6 words) and direct, with no extra description.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question.
|
||||
2. Synthesize findings from multiple memories if a single entry is insufficient.
|
||||
3. Examine timestamps and content carefully, looking for explicit dates, times, locations, or events.
|
||||
4. If the answer requires calculation (e.g., converting relative time references), perform the calculation.
|
||||
5. Formulate a precise, concise answer based on the evidence from the memories (and allowed world knowledge).
|
||||
6. Double-check that your answer directly addresses the question asked and adheres to all instructions.
|
||||
7. Ensure your final answer is specific and avoids vague time references.
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
PROMPT_MEMOBASE: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories from both speakers
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.), calculate the actual date based on the memory timestamp. For example, if a memory from 4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example, convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories from both speakers. Do not confuse character names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
|
||||
EVALUATION_PROMPT_FOR_MEMORY_INTEGRITY: |
|
||||
You are a strict **"Memory Integrity" evaluator**.
|
||||
Your core task is to assess whether an AI memory system has **missed any key memory points** after processing a conversation. This evaluation measures the system's **memory integrity**, i.e., its ability to resist **amnesia** or **omission**.
|
||||
|
||||
# Evaluation Context & Data:
|
||||
|
||||
1. **Extracted Memories:**
|
||||
These are all the memory items actually extracted by the memory system.
|
||||
{memories}
|
||||
|
||||
2. **Expected Memory Point:**
|
||||
The key memory point that *should* have been extracted.
|
||||
{expected_memory_point}
|
||||
|
||||
# Evaluation Instructions:
|
||||
|
||||
1. For each **Expected Memory Point**, search within the **Extracted Memories** list for corresponding or related information. Ignore unrelated items.
|
||||
2. Based on the following scoring rubric, rate how well the memory system captured the **Expected Memory Point** and provide a detailed explanation.
|
||||
|
||||
# Scoring Rubric:
|
||||
|
||||
* **2:** Fully covered or implied.
|
||||
One or more items in "Extracted Memories" fully cover or logically imply all information in the "Expected Memory Point."
|
||||
|
||||
* **1:** Partially covered or mentioned.
|
||||
Some information in "Extracted Memories" mentions part of the "Expected Memory Point," but key information is missing, inaccurate, or slightly incorrect.
|
||||
|
||||
* **0:** Not mentioned or incorrect.
|
||||
"Extracted Memories" contains no mention of the "Expected Memory Point," or the corresponding information is entirely wrong.
|
||||
|
||||
# Scoring Notes:
|
||||
|
||||
* For **compound Expected Memory Points** (with multiple elements such as person/event/time/location/preference, etc.):
|
||||
|
||||
* All elements correct → **2 points**
|
||||
* Some elements correct / uncertain → **1 point**
|
||||
* Key elements missing or wrong → **0 points**
|
||||
|
||||
* Semantic matching is acceptable; exact wording is **not** required.
|
||||
|
||||
* If "Extracted Memories" contains **conflicting information**, assign the **best possible coverage score** and mention the conflict in your reasoning.
|
||||
|
||||
* Extra or stylistically different memories do **not** reduce the score; only the coverage of the **Expected Memory Point** matters.
|
||||
|
||||
* For uncertain wording ("might," "probably," "tends to," etc.):
|
||||
|
||||
* If the Expected Memory Point is a definite statement, usually assign **1 point**.
|
||||
|
||||
* If critical fields (e.g., time, entity name, relationship) are partly wrong but others match → **1 point**.
|
||||
|
||||
* If all key fields are wrong or missing → **0 points**.
|
||||
|
||||
# Output Format:
|
||||
|
||||
Please output your result in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise justification for the score",
|
||||
"score": "2|1|0"
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_MEMORY_ACCURACY: |
|
||||
You are a **Dialogue Memory Accuracy Evaluator.** Your task is to evaluate the **accuracy** of a memory extracted by an AI memory system, based on three given inputs: the dialogue content, the *target (gold)* memory points (the correct annotated memories), and the *candidate* memory to be evaluated. The goal is to output a **structured evaluation result**.
|
||||
|
||||
# Input Content
|
||||
|
||||
* **Dialogue:**
|
||||
{dialogue}
|
||||
|
||||
* **Golden Memories (Target Memory Points):**
|
||||
The correct memory points pre-annotated for this dialogue in the evaluation dataset.
|
||||
{golden_memories}
|
||||
|
||||
* **Candidate Memory:**
|
||||
The memory extracted by the system to be evaluated.
|
||||
{candidate_memory}
|
||||
|
||||
# Evaluation Principles and Definitions
|
||||
|
||||
### 1) Support / Entailment
|
||||
|
||||
* An **information point** (atomic fact) in the candidate memory is considered *supported* if it can be directly stated or semantically entailed (via synonym, paraphrase, or equivalent expression) by the *Dialogue* or *Golden Memories*.
|
||||
* Only the given dialogue and golden memories can be used for judgment — **no external knowledge** or assumptions are allowed.
|
||||
Any information not appearing in or inferable from these two sources is considered *unsupported*.
|
||||
* Pay careful attention to **negation**, **quantities**, **time**, and **subjects**.
|
||||
If the candidate statement contradicts the dialogue or golden memories, it is considered a **conflict**.
|
||||
|
||||
### 2) Memory Accuracy Score (integer: 0 / 1 / 2)
|
||||
|
||||
* **2 points:** Every information point in the candidate memory is supported by the dialogue or golden memories, with **no contradictions or hallucinations**.
|
||||
* **1 point:** The candidate memory is *partially correct* (at least one supported information point) but also includes *unsupported* or *contradictory* content.
|
||||
* **0 points:** The candidate memory is **entirely unsupported or contradictory** to the sources (i.e., a "hallucinated memory").
|
||||
|
||||
> Note:
|
||||
> * If a candidate memory contains multiple information points, **any unsupported or contradictory element** prevents a full score (2).
|
||||
> * If both supported and unsupported/conflicting content appear, assign a score of **1**.
|
||||
|
||||
### 3) Inclusion in Golden Memories (Boolean field-level judgment)
|
||||
|
||||
**Definition:**
|
||||
|
||||
* **Atomic information point:** the smallest factual unit in the candidate memory (e.g., *name = Li Si*, *age = 25*, *location = Beijing*, *preference = coffee*, *budget ≤ 2000*, *meeting_time = Wednesday 10:00*, *tool = Zoom*, etc.).
|
||||
* **Field / Slot:** the semantic dimension of an information point (e.g., *name*, *age*, *residence*, *food preference*, *budget*, *meeting time*, *meeting tool*, etc.).
|
||||
|
||||
**Judgment Rules (independent of correctness):**
|
||||
|
||||
* **true:**
|
||||
Every atomic information point in the candidate memory has a corresponding **field** in the golden memories (allowing for synonyms, paraphrases, or equivalent expressions; ignore value, polarity, or quantity differences).
|
||||
|
||||
* Note: A single field in the gold list may match multiple candidate points (e.g., multiple "drink preference" facts can be covered by one "drink preference" field in gold).
|
||||
* **false:**
|
||||
If **any** atomic information point's field in the candidate memory cannot be found in the golden memories, mark as *false*.
|
||||
|
||||
**Important Notes:**
|
||||
|
||||
* Field matching is restricted to fields that are **explicitly present or semantically recognizable** in the golden memories — no external knowledge may be used to expand the field set.
|
||||
* Differences in **values** (e.g., "Zhang San" vs. "Li Si"), **polarity** (like/dislike), or **exact number/time** do **not** affect this Boolean judgment.
|
||||
|
||||
# Evaluation Procedure
|
||||
|
||||
For each candidate memory:
|
||||
|
||||
1. **Decompose** it into atomic information points (e.g., name, number, location, preference).
|
||||
2. For each information point, **search** the dialogue and golden memories for supporting or contradictory evidence.
|
||||
3. Assign the **accuracy_score** (0 / 1 / 2) according to the rules above.
|
||||
4. Determine **is_included_in_golden_memories (true/false)**:
|
||||
|
||||
* Identify each information point's field;
|
||||
* If *all* fields exist in the golden memories, mark as *true*; otherwise, *false*.
|
||||
5. Provide a **concise Chinese explanation** in `"reason"`, citing key evidence (short excerpts allowed), and clearly state any unsupported or contradictory parts if applicable.
|
||||
|
||||
# Output Format (strictly required)
|
||||
|
||||
Output **only one JSON object**, with the following three fields:
|
||||
|
||||
* `"accuracy_score"`: `"0"` or `"1"` or `"2"`
|
||||
* `"is_included_in_golden_memories"`: `"true"` or `"false"`
|
||||
* `"reason"`: `"brief explanation in Chinese"`
|
||||
|
||||
Do **not** include any other text, explanation, or fields.
|
||||
Do **not** include the candidate memory text inside the JSON.
|
||||
|
||||
Please output **only** the following JSON (in a code block):
|
||||
|
||||
```json
|
||||
{{
|
||||
"reason": "Brief explanation in Chinese"
|
||||
"accuracy_score": "2 | 1 | 0",
|
||||
"is_included_in_golden_memories": "true | false",
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_UPDATE_MEMORY: |
|
||||
Your task is to **evaluate the update accuracy** of an AI memory system.
|
||||
Based on the information provided below, determine whether the system-generated **“Generated Memories”** correctly **includes** the **Target Memory for Update**.
|
||||
|
||||
# Background Information
|
||||
|
||||
The following information is provided for evaluation:
|
||||
|
||||
1. **Generated Memories:**
|
||||
This is the list of memory points generated by the system after the current dialogue.
|
||||
{memories}
|
||||
|
||||
2. **Target Memory for Update:**
|
||||
This is the correct, updated version of the memory point that should have been produced — the one we focus on in this evaluation.
|
||||
{updated_memory}
|
||||
|
||||
3. **Original Memory Content:**
|
||||
This is the original version of the target memory before the update.
|
||||
{original_memory}
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
Please make your judgment **strictly based on the content update of the “Target Memory for Update.”**
|
||||
Use the following categories:
|
||||
|
||||
### Correct Update
|
||||
|
||||
* **Generated Memories** **contains all information points** from the “Target Memory for Update,” accurately and completely reflecting the intended update.
|
||||
* **Key fields** (e.g., date, time, values, proper nouns, etc.) must match exactly.
|
||||
* The **original memory** is effectively replaced or marked as outdated.
|
||||
* Synonymous or slightly rephrased expressions are acceptable.
|
||||
|
||||
### Hallucinated Update
|
||||
|
||||
* **Factual error:** The **Generated Memories** includes a new memory related to the “Target Memory for Update,” but its content contains factual mistakes or contradictions compared to the correct update.
|
||||
|
||||
### Omitted Update
|
||||
|
||||
* **Completely omitted:** The **Generated Memories** contains no new memory related to the “Target Memory for Update.”
|
||||
* **Partially omitted:** A related new memory was generated in **Generated Memories**, but it **misses key information** that should have been included.
|
||||
|
||||
### Other
|
||||
|
||||
Used for update failures that do **not clearly fall** into the above categories of “Hallucination” or “Omission.”
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please return your evaluation strictly in the following JSON format and provide a concise explanation.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reason": "Briefly explain your reasoning here and why it fits this category.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission | Other"
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_QUESTION: |
|
||||
You are an **evaluation expert for AI memory system question answering**.
|
||||
Based **only** on the provided **“Question”**, **“Reference Answer”**, and **“Key Memory Points”** (the essential facts needed to derive the reference answer), strictly evaluate the **accuracy** of the **“Memory System Response.”** Classify it as one of **“Correct”**, **“Hallucination”**, or **“Omission.”** Do **not** use any external knowledge or subjective inference. Finally, output your judgment **strictly** in the specified JSON format.
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
## Answer Type Classification
|
||||
|
||||
### 1. Correct
|
||||
|
||||
* The “Memory System Response” accurately answers the “Question,” and its content is **semantically equivalent** to the “Reference Answer.”
|
||||
* It contains **no contradictions** with the “Key Memory Points” or “Reference Answer.”
|
||||
* It introduces **no unsupported details** beyond the “Key Memory Points” that could alter the conclusion.
|
||||
* Synonyms, paraphrasing, and reasonable summarization are acceptable.
|
||||
|
||||
### 2. Hallucination
|
||||
|
||||
* The “Memory System Response” includes information or facts that **contradict or are inconsistent** with the “Reference Answer” or the “Key Memory Points.”
|
||||
* When the “Reference Answer” is labeled as *unknown/uncertain*, yet the response provides a specific verifiable fact or conclusion.
|
||||
* Extra irrelevant information that does **not change** the conclusion is **not** considered hallucination by itself; however, if it **changes or misleads** the conclusion, or **contradicts** the “Key Memory Points,” it should be judged as a **Hallucination**.
|
||||
|
||||
### 3. Omission
|
||||
|
||||
* The response is **incomplete** compared to the “Reference Answer.”
|
||||
* It explicitly states “don’t know,” “can’t remember,” or “no related memory,” even though relevant information exists in the “Key Memory Points.”
|
||||
* For multi-element questions, **all elements must be correct and present**; omission of **any** element is considered an **Omission**.
|
||||
|
||||
## Priority Rules (Conflict Handling)
|
||||
|
||||
* If the response contains **both missing necessary information** and **fabricated/contradictory information**, classify it as **Hallucination**.
|
||||
* If there is **no fabrication/contradiction** but some necessary information is missing, classify it as **Omission**.
|
||||
* Only when the meaning is **fully equivalent** to the reference answer should it be classified as **Correct**.
|
||||
|
||||
## Detailed Guidelines and Tolerance
|
||||
|
||||
* Equivalent expressions of numbers, times, and units are acceptable, but the **numerical values themselves must not differ**.
|
||||
* For multi-element questions, **all elements must be complete and accurate**; missing any element counts as **Omission**.
|
||||
* If the reference answer is *“unknown / cannot be determined”* and the system provides a definite fact, that is a **Hallucination**.
|
||||
If the system also answers *“unknown”* (without guessing), it may be **Correct**.
|
||||
* The evaluation must rely **only** on the *Reference Answer*, *Key Memory Points*, and *System Response* — no external context, world knowledge, or speculative reasoning is allowed.
|
||||
|
||||
# Information for Evaluation
|
||||
|
||||
* **Question:**
|
||||
{question}
|
||||
|
||||
* **Reference Answer:**
|
||||
{reference_answer}
|
||||
|
||||
* **Key Memory Points:**
|
||||
{key_memory_points}
|
||||
|
||||
* **Memory System Response:**
|
||||
{response}
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please provide your evaluation result **strictly** in the JSON format below.
|
||||
Do **not** add any extra explanation or comments outside the JSON block.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise and traceable evaluation rationale: first compare the system’s response with the Key Memory Points (which were correctly used, which were missing, and whether there was any fabrication/contradiction), then assess its consistency with the Reference Answer, and finally state the classification basis.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission"
|
||||
}}
|
||||
```
|
||||
|
||||
|
||||
EVALUATION_PROMPT_FOR_QUESTION2: |
|
||||
You are an **evaluation expert for AI memory system question answering**.
|
||||
|
||||
Based **only** on the provided **"Question"**, **"Reference Answer"**, and **"Key Memory Points"** (the essential facts needed to derive the reference answer), strictly evaluate the **accuracy** of the **"Memory System Response."** Classify it as one of **"Correct"**, **"Hallucination"**, or **"Omission."** Do **not** use any external knowledge or subjective inference. Finally, output your judgment **strictly** in the specified JSON format.
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
## Answer Type Classification
|
||||
|
||||
### 1. Correct
|
||||
|
||||
* The "Memory System Response" accurately answers the "Question," and its content is **semantically equivalent** to the "Reference Answer."
|
||||
* It contains **no contradictions** with the "Key Memory Points" or "Reference Answer."
|
||||
* **Extra details not present in the Key Memory Points are allowed and should not be penalized**, as long as they:
|
||||
- Do not contradict the Key Memory Points or Reference Answer
|
||||
- Do not change or mislead the core conclusion
|
||||
- Are reasonable additional context that the memory system may have retained from the conversation
|
||||
* The memory system may have stored additional information beyond the Key Memory Points. Such extra information should be treated as **supplementary context** rather than hallucination, provided it does not conflict with the core answer.
|
||||
* Synonyms, paraphrasing, and reasonable summarization are acceptable.
|
||||
|
||||
### 2. Hallucination
|
||||
|
||||
* The "Memory System Response" includes information or facts that **contradict or are inconsistent** with the "Reference Answer" or the "Key Memory Points."
|
||||
* The response provides information that **directly contradicts** known facts from the Key Memory Points.
|
||||
* When the "Reference Answer" is labeled as *unknown/uncertain*, yet the response provides a specific verifiable fact or conclusion.
|
||||
* **Important:** Extra information that is NOT in Key Memory Points is **NOT automatically a hallucination**. Only classify as hallucination if the extra information:
|
||||
- Directly contradicts the Key Memory Points or Reference Answer
|
||||
- Changes or misleads the core conclusion in a way that makes the answer incorrect
|
||||
- Provides a definitive answer when the Reference Answer indicates uncertainty
|
||||
|
||||
### 3. Omission
|
||||
|
||||
* The response is **incomplete** compared to the "Reference Answer."
|
||||
* It explicitly states "don't know," "can't remember," or "no related memory," even though relevant information exists in the "Key Memory Points."
|
||||
* For multi-element questions, **all elements must be correct and present**; omission of **any** element is considered an **Omission**.
|
||||
|
||||
## Priority Rules (Conflict Handling)
|
||||
|
||||
* If the response contains **both missing necessary information** and **fabricated/contradictory information**, classify it as **Hallucination**.
|
||||
* If there is **no fabrication/contradiction** but some necessary information is missing, classify it as **Omission**.
|
||||
* If the core answer is correct and complete, classify as **Correct** even if there are extra details not in Key Memory Points (as long as they don't contradict or mislead).
|
||||
|
||||
## Detailed Guidelines and Tolerance
|
||||
|
||||
* Equivalent expressions of numbers, times, and units are acceptable, but the **numerical values themselves must not differ**.
|
||||
* For multi-element questions, **all elements must be complete and accurate**; missing any element counts as **Omission**.
|
||||
* If the reference answer is *"unknown / cannot be determined"* and the system provides a definite fact, that is a **Hallucination**.
|
||||
If the system also answers *"unknown"* (without guessing), it may be **Correct**.
|
||||
* **Focus on evaluating whether the core answer to the question is correct**, not whether the response is limited to only the Key Memory Points.
|
||||
* Extra contextual information (e.g., additional preferences, related details) should be viewed as enrichment, not as errors, unless they contradict or mislead.
|
||||
|
||||
# Information for Evaluation
|
||||
|
||||
* **Question:**
|
||||
{question}
|
||||
|
||||
* **Reference Answer:**
|
||||
{reference_answer}
|
||||
|
||||
* **Key Memory Points:**
|
||||
{key_memory_points}
|
||||
|
||||
* **Memory System Response:**
|
||||
{response}
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please provide your evaluation result **strictly** in the JSON format below.
|
||||
Do **not** add any extra explanation or comments outside the JSON block.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise and traceable evaluation rationale: first verify that the system's response correctly includes all required elements from the Reference Answer, then check if any information contradicts the Key Memory Points or Reference Answer. Extra details not in Key Memory Points should be noted but not penalized unless they contradict or mislead. Finally state the classification basis.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission"
|
||||
}}
|
||||
```
|
||||
"""
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
clear && python benchmark/halumem/eval_reme.py \
|
||||
--data_path /Users/yuli/workspace/HaluMem/data/HaluMem-Medium.jsonl \
|
||||
--reme_model_name qwen3.5-plus \
|
||||
--batch_size 10000 \
|
||||
--algo_version default
|
||||
|
|
@ -1,46 +0,0 @@
|
|||
# Halumem
|
||||
Experiment Quick Start Guide
|
||||
This guide helps you quickly set up and run Halumem experiments with ReMe integration.
|
||||
|
||||
### 1. Start ReMe Service
|
||||
Install ReMe (if not already installed)
|
||||
If you haven't installed the ReMe environment yet, follow these steps:
|
||||
```bash
|
||||
# Create ReMe environment
|
||||
conda create -p ./reme-env python==3.12
|
||||
conda activate ./reme-env
|
||||
|
||||
# Install ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### 2. Download the Dataset
|
||||
```bash
|
||||
cd ./benchmark/halumem
|
||||
mkdir -p data
|
||||
curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
|
||||
curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
|
||||
```
|
||||
|
||||
Dataset page:
|
||||
https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/tree/main
|
||||
|
||||
If the official source is slow or inaccessible in mainland China, you can use a mirror:
|
||||
```bash
|
||||
cd ./benchmark/halumem
|
||||
mkdir -p data
|
||||
curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
|
||||
curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
|
||||
```
|
||||
|
||||
### 3. Run Experiments
|
||||
Launch the ReMe service to enable memory library functionality:
|
||||
```bash
|
||||
clear && python benchmark/halumem/eval_reme.py \
|
||||
--data_path benchmark/halumem/data/HaluMem-Medium.jsonl \
|
||||
--reme_model_name gpt-4o-mini-2024-07-18 \
|
||||
--eval_model_name gpt-4o-mini-2024-07-18 \
|
||||
--batch_size 40 \
|
||||
--algo_version default
|
||||
```
|
||||
|
||||
|
|
@ -1,180 +0,0 @@
|
|||
TEMPLATE_MEMOS: |
|
||||
Memories for user {user_id}:
|
||||
{memories}
|
||||
|
||||
PROMPT_MEMZERO_JSON: |
|
||||
# CONTEXT:
|
||||
{context}
|
||||
|
||||
# CONTEXT PRIORITY:
|
||||
When the context contains information from multiple sources, follow this strict priority order:
|
||||
1. **Historical Dialogue** (highest priority) - Direct conversation content
|
||||
2. **Extracted Memories** (medium priority) - Summarized memory points
|
||||
3. **User Profile** (lowest priority) - General user information
|
||||
|
||||
# Question:
|
||||
{question}
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories (facts and entities)
|
||||
2. Pay special attention to the timestamps (event_time) to determine when events occurred
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. Always convert relative time references to specific dates, months, or years
|
||||
6. Be as specific as possible when talking about people, places, and events
|
||||
7. Timestamps in memories represent the time the event was mentioned in a message, not the actual time the event occurred
|
||||
|
||||
|
||||
# OUTPUT FORMAT:
|
||||
Please provide your response in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "reasoning content",
|
||||
"answer": "Provide a detailed answer"
|
||||
}}
|
||||
```
|
||||
|
||||
SYSTEM_PROMPT: |
|
||||
You are an expert grader that determines if answers to questions match a gold standard answer
|
||||
|
||||
USER_PROMPT: |
|
||||
Your task is to label an answer to a question as 'CORRECT' or 'WRONG'. You will be given the following data:
|
||||
(1) a question (posed by one user to another user),
|
||||
(2) a 'gold' (ground truth) answer,
|
||||
(3) a generated answer
|
||||
which you will score as CORRECT/WRONG.
|
||||
|
||||
The point of the question is to ask about something one user should know about the other user based on their prior conversations.
|
||||
The gold answer will usually be a concise and short answer that includes the referenced topic, for example:
|
||||
Question: Do you remember what I got the last time I went to Hawaii?
|
||||
Gold answer: A shell necklace
|
||||
The generated answer might be much longer, but you should be generous with your grading - as long as it touches on the same topic as the gold answer, it should be counted as CORRECT.
|
||||
|
||||
For time related questions, the gold answer will be a specific date, month, year, etc. The generated answer might be much longer or use relative time references (like "last Tuesday" or "next month"), but you should be generous with your grading - as long as it refers to the same date or time period as the gold answer, it should be counted as CORRECT. Even if the format differs (e.g., "May 7th" vs "7 May"), consider it CORRECT if it's the same date.
|
||||
|
||||
Now it's time for the real question:
|
||||
Question: {question}
|
||||
Gold answer: {golden_answer}
|
||||
Generated answer: {generated_answer}
|
||||
|
||||
First, provide a short (one sentence) explanation of your reasoning, then finish with CORRECT or WRONG.
|
||||
Do NOT include both CORRECT and WRONG in your response, or it will break the evaluation script.
|
||||
|
||||
Just return the label CORRECT or WRONG in a json format with the key as "label".
|
||||
|
||||
user_message_summary_1: |
|
||||
You are a Memory Agent responsible for managing {memory_type} memories about {memory_target}.
|
||||
|
||||
## Latest Conversation
|
||||
Format: round<index> [<timestamp>] <role/name>: <content>
|
||||
{context}
|
||||
|
||||
## Task
|
||||
### Step 1: Create Memory Draft
|
||||
Use `add_draft_and_retrieve_similar_memory` to create a memory draft list based on the latest conversation.
|
||||
- For each memory draft, fill in the required parameters:
|
||||
* `message_time`: timestamp from the conversation (e.g., '2020-01-01 00:00:00')
|
||||
* `memory_content`: concise memory content extracted from the conversation
|
||||
- Use actual names from the conversation (e.g., "Bob likes apples") instead of generic references (e.g., "user likes apples")
|
||||
- Extract all important information comprehensively—do not miss critical details, but avoid any fabrications or unfounded assumptions
|
||||
- The tool will retrieve similar historical memories via vector search to help you in Step 2
|
||||
|
||||
### Step 2: Add Memories
|
||||
Review each memory draft from Step 1 and compare it with the retrieved historical memories, then use `add_memory` to manage all memories in one call:
|
||||
|
||||
- For each new memory, fill in the required parameters:
|
||||
* `message_time`: timestamp from the conversation (e.g., '2020-01-01 00:00:00')
|
||||
* `memory_content`: memory content
|
||||
- Add memories when:
|
||||
* The draft contains new information not present in historical memories
|
||||
|
||||
|
||||
**General Guidelines:**
|
||||
- **Skip** drafts if their content is already fully covered by historical memories (avoid redundancy)
|
||||
- You can add memories in a single `add_memory` tool call
|
||||
|
||||
user_message_summary_2: |
|
||||
You are a Profile Agent responsible for managing profiles about {memory_target}.
|
||||
|
||||
## Latest Conversation
|
||||
Format: round<index> [<timestamp>] <role/name>: <content>
|
||||
{context}
|
||||
|
||||
## Current Profiles
|
||||
{profiles}
|
||||
|
||||
## Task
|
||||
Analyze the Latest Conversation and use `update_profiles` to manage profiles (both updates and additions in one call):
|
||||
|
||||
**For profiles_to_update** (updating existing profiles):
|
||||
- For each profile to update, fill in the required parameters:
|
||||
* `profile_id`: ID of the profile to update (from Current Profiles)
|
||||
* `message_time`: timestamp from the conversation (e.g., '2020-01-01 00:00:00')
|
||||
* `profile_key`: profile key or category (e.g., 'name', 'age', 'occupation')
|
||||
* `profile_value`: updated profile value, please be concise. (e.g., 'John Smith')
|
||||
|
||||
**For profiles_to_add** (adding new profiles):
|
||||
- For each new profile, fill in the required parameters:
|
||||
* `message_time`: timestamp from the conversation (e.g., '2020-01-01 00:00:00')
|
||||
* `profile_key`: profile key or category (e.g., 'name', 'age', 'occupation')
|
||||
* `profile_value`: profile value (e.g., 'John Smith')
|
||||
- Add profiles when:
|
||||
* The information represents a new distinct profile not present in Current Profiles
|
||||
* The profile key doesn't exist in Current Profiles
|
||||
* The information cannot be merged into existing profiles
|
||||
|
||||
**General Guidelines:**
|
||||
- Extract all important information comprehensively—do not miss critical details, but avoid any fabrications or unfounded assumptions
|
||||
- You can update and add profiles in a single tool call
|
||||
|
||||
user_message_retrieve: |
|
||||
You are a Memory Retrieval Agent specialized in retrieving {memory_type} memories about {memory_target}.
|
||||
|
||||
## User Profile
|
||||
{profiles}
|
||||
|
||||
## User Question
|
||||
{context}
|
||||
|
||||
## Multi-Phase Retrieval Strategy
|
||||
Follow these phases sequentially to gather comprehensive information:
|
||||
|
||||
### Phase 1: Semantic Search (No Time Filter)
|
||||
**Tool**: `retrieve_memory` (without time constraints)
|
||||
**Objective**: Cast a wide net to find potentially relevant memories
|
||||
**Approach**:
|
||||
- Execute 3-5 diverse search queries using different formulations:
|
||||
* Original question verbatim
|
||||
* Rephrased variations (different wording, synonyms)
|
||||
* Entity-focused queries (extract and search specific names, places, events)
|
||||
* Keyword-based searches (core concepts, topics)
|
||||
* Related context queries (broader themes)
|
||||
- Review all results before proceeding to next phase
|
||||
|
||||
### Phase 2: Deep Dive into History
|
||||
**Tool**: `read_history`
|
||||
**When to use**: After exhausting retrieval attempts OR when specific conversation context is needed
|
||||
**Important Constraints**:
|
||||
- Each history is very long and resource-intensive to read
|
||||
- **Maximum limit: Read no more than 3 histories total**
|
||||
- Only use this phase when absolutely necessary for answering the question
|
||||
**Approach**:
|
||||
- Extract `history_id` from retrieved memory references
|
||||
- Prioritize the most relevant or recent histories
|
||||
- Can read multiple histories at once by passing multiple history_ids
|
||||
- Be selective: choose only the top 1-3 most promising histories
|
||||
- Use this to understand the full conversation surrounding a memory
|
||||
|
||||
## Response Guidelines
|
||||
- Base your answer EXCLUSIVELY on user profile, retrieved memories, and history data
|
||||
- Never infer, assume, or hallucinate information
|
||||
- Always cite sources with timestamps: `[timestamp] Memory content`
|
||||
- Present conflicting information transparently with respective timestamps
|
||||
- If you find sufficient information to answer the user's question, you may output directly without exhausting all search phases
|
||||
- Exhaust all search strategies before concluding information doesn't exist
|
||||
|
||||
### Output any tangentially related findings, Format:
|
||||
[timestamp] [memory/profile/history] [relevant content1]
|
||||
[timestamp] [memory/profile/history] [relevant content2]
|
||||
|
||||
|
|
@ -1,548 +0,0 @@
|
|||
TEMPLATE_MEMOS: |
|
||||
Memories for user {user_id}:
|
||||
{memories}
|
||||
|
||||
PROMPT_MEMZERO_JSON: |
|
||||
# CONTEXT:
|
||||
{context}
|
||||
|
||||
# CONTEXT PRIORITY:
|
||||
When the context contains information from multiple sources, follow this strict priority order:
|
||||
1. **Historical Dialogue** (highest priority) - Direct conversation content
|
||||
2. **Extracted Memories** (medium priority) - Summarized memory points
|
||||
3. **User Profile** (lowest priority) - General user information
|
||||
|
||||
# Question:
|
||||
{question}
|
||||
|
||||
# OUTPUT FORMAT:
|
||||
Do not hallucinate; strictly answer the user's question based on the content of the CONTEXT.
|
||||
Please provide your response in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "reasoning content",
|
||||
"answer": "Provide a detailed answer"
|
||||
}}
|
||||
```
|
||||
|
||||
PROMPT_MEMZERO_JSON2: |
|
||||
# CONTEXT:
|
||||
{context}
|
||||
|
||||
# CONTEXT PRIORITY:
|
||||
When the context contains information from multiple sources, follow this strict priority order:
|
||||
1. **Historical Dialogue** (highest priority) - Direct conversation content
|
||||
2. **Extracted Memories** (medium priority) - Summarized memory points
|
||||
3. **User Profile** (lowest priority) - General user information
|
||||
|
||||
# Question:
|
||||
{question}
|
||||
|
||||
# OUTPUT FORMAT:
|
||||
Do not hallucinate; strictly answer the user's question based on the content of the CONTEXT.
|
||||
Please provide your response in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "reasoning content",
|
||||
"answer": "Provide a detailed answer"
|
||||
}}
|
||||
```
|
||||
|
||||
PROMPT_MEMZERO: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories from both speakers
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.),
|
||||
calculate the actual date based on the memory timestamp. For example, if a memory from
|
||||
4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example,
|
||||
convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory
|
||||
timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories from both speakers. Do not confuse character
|
||||
names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
PROMPT_ZEP: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.),
|
||||
calculate the actual date based on the memory timestamp. For example, if a memory from
|
||||
4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example,
|
||||
convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory
|
||||
timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories. Do not confuse character
|
||||
names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
Context:
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
Answer:
|
||||
|
||||
PROMPT_MEMOS: |
|
||||
You are a knowledgeable and helpful AI assistant.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories. Synthesize information across different entries if needed to form a complete answer.
|
||||
2. Pay close attention to the timestamps to determine the answer. If memories contain contradictory information, the **most recent memory** is the source of truth.
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories.
|
||||
4. Your answer must be grounded in the memories. However, you may use general world knowledge to interpret or complete information found within a memory (e.g., identifying a landmark mentioned by description).
|
||||
5. If the question involves time references (like "last year", "two months ago", etc.), you **must** calculate the actual date based on the memory's timestamp. For example, if a memory from 4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years in your final answer.
|
||||
7. Do not confuse character names mentioned in memories with the actual users who created them.
|
||||
8. The answer must be brief (under 5-6 words) and direct, with no extra description.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question.
|
||||
2. Synthesize findings from multiple memories if a single entry is insufficient.
|
||||
3. Examine timestamps and content carefully, looking for explicit dates, times, locations, or events.
|
||||
4. If the answer requires calculation (e.g., converting relative time references), perform the calculation.
|
||||
5. Formulate a precise, concise answer based on the evidence from the memories (and allowed world knowledge).
|
||||
6. Double-check that your answer directly addresses the question asked and adheres to all instructions.
|
||||
7. Ensure your final answer is specific and avoids vague time references.
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
PROMPT_MEMOBASE: |
|
||||
You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
|
||||
|
||||
# CONTEXT:
|
||||
You have access to memories from two speakers in a conversation. These memories contain
|
||||
timestamped information that may be relevant to answering the question.
|
||||
|
||||
# INSTRUCTIONS:
|
||||
1. Carefully analyze all provided memories from both speakers
|
||||
2. Pay special attention to the timestamps to determine the answer
|
||||
3. If the question asks about a specific event or fact, look for direct evidence in the memories
|
||||
4. If the memories contain contradictory information, prioritize the most recent memory
|
||||
5. If there is a question about time references (like "last year", "two months ago", etc.), calculate the actual date based on the memory timestamp. For example, if a memory from 4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
|
||||
6. Always convert relative time references to specific dates, months, or years. For example, convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory timestamp. Ignore the reference while answering the question.
|
||||
7. Focus only on the content of the memories from both speakers. Do not confuse character names mentioned in memories with the actual users who created those memories.
|
||||
8. The answer should be less than 5-6 words.
|
||||
|
||||
# APPROACH (Think step by step):
|
||||
1. First, examine all memories that contain information related to the question
|
||||
2. Examine the timestamps and content of these memories carefully
|
||||
3. Look for explicit mentions of dates, times, locations, or events that answer the question
|
||||
4. If the answer requires calculation (e.g., converting relative time references), show your work
|
||||
5. Formulate a precise, concise answer based solely on the evidence in the memories
|
||||
6. Double-check that your answer directly addresses the question asked
|
||||
7. Ensure your final answer is specific and avoids vague time references
|
||||
|
||||
{context}
|
||||
|
||||
Question: {question}
|
||||
|
||||
Answer:
|
||||
|
||||
|
||||
EVALUATION_PROMPT_FOR_MEMORY_INTEGRITY: |
|
||||
You are a strict **"Memory Integrity" evaluator**.
|
||||
Your core task is to assess whether an AI memory system has **missed any key memory points** after processing a conversation. This evaluation measures the system’s **memory integrity**, i.e., its ability to resist **amnesia** or **omission**.
|
||||
|
||||
# Evaluation Context & Data:
|
||||
|
||||
1. **Extracted Memories:**
|
||||
These are all the memory items actually extracted by the memory system.
|
||||
{memories}
|
||||
|
||||
2. **Expected Memory Point:**
|
||||
The key memory point that *should* have been extracted.
|
||||
{expected_memory_point}
|
||||
|
||||
# Evaluation Instructions:
|
||||
|
||||
1. For each **Expected Memory Point**, search within the **Extracted Memories** list for corresponding or related information. Ignore unrelated items.
|
||||
2. Based on the following scoring rubric, rate how well the memory system captured the **Expected Memory Point** and provide a detailed explanation.
|
||||
|
||||
# Scoring Rubric:
|
||||
|
||||
* **2:** Fully covered or implied.
|
||||
One or more items in “Extracted Memories” fully cover or logically imply all information in the “Expected Memory Point.”
|
||||
|
||||
* **1:** Partially covered or mentioned.
|
||||
Some information in “Extracted Memories” mentions part of the “Expected Memory Point,” but key information is missing, inaccurate, or slightly incorrect.
|
||||
|
||||
* **0:** Not mentioned or incorrect.
|
||||
“Extracted Memories” contains no mention of the “Expected Memory Point,” or the corresponding information is entirely wrong.
|
||||
|
||||
# Scoring Notes:
|
||||
|
||||
* For **compound Expected Memory Points** (with multiple elements such as person/event/time/location/preference, etc.):
|
||||
|
||||
* All elements correct → **2 points**
|
||||
* Some elements correct / uncertain → **1 point**
|
||||
* Key elements missing or wrong → **0 points**
|
||||
|
||||
* Semantic matching is acceptable; exact wording is **not** required.
|
||||
|
||||
* If “Extracted Memories” contains **conflicting information**, assign the **best possible coverage score** and mention the conflict in your reasoning.
|
||||
|
||||
* Extra or stylistically different memories do **not** reduce the score; only the coverage of the **Expected Memory Point** matters.
|
||||
|
||||
* For uncertain wording (“might,” “probably,” “tends to,” etc.):
|
||||
|
||||
* If the Expected Memory Point is a definite statement, usually assign **1 point**.
|
||||
|
||||
* If critical fields (e.g., time, entity name, relationship) are partly wrong but others match → **1 point**.
|
||||
|
||||
* If all key fields are wrong or missing → **0 points**.
|
||||
|
||||
# Output Format:
|
||||
|
||||
Please output your result in the following JSON format:
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise justification for the score",
|
||||
"score": "2|1|0"
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_MEMORY_ACCURACY: |
|
||||
You are a **Dialogue Memory Accuracy Evaluator.** Your task is to evaluate the **accuracy** of a memory extracted by an AI memory system, based on three given inputs: the dialogue content, the *target (gold)* memory points (the correct annotated memories), and the *candidate* memory to be evaluated. The goal is to output a **structured evaluation result**.
|
||||
|
||||
# Input Content
|
||||
|
||||
* **Dialogue:**
|
||||
{dialogue}
|
||||
|
||||
* **Golden Memories (Target Memory Points):**
|
||||
The correct memory points pre-annotated for this dialogue in the evaluation dataset.
|
||||
{golden_memories}
|
||||
|
||||
* **Candidate Memory:**
|
||||
The memory extracted by the system to be evaluated.
|
||||
{candidate_memory}
|
||||
|
||||
# Evaluation Principles and Definitions
|
||||
|
||||
### 1) Support / Entailment
|
||||
|
||||
* An **information point** (atomic fact) in the candidate memory is considered *supported* if it can be directly stated or semantically entailed (via synonym, paraphrase, or equivalent expression) by the *Dialogue* or *Golden Memories*.
|
||||
* Only the given dialogue and golden memories can be used for judgment — **no external knowledge** or assumptions are allowed.
|
||||
Any information not appearing in or inferable from these two sources is considered *unsupported*.
|
||||
* Pay careful attention to **negation**, **quantities**, **time**, and **subjects**.
|
||||
If the candidate statement contradicts the dialogue or golden memories, it is considered a **conflict**.
|
||||
|
||||
### 2) Memory Accuracy Score (integer: 0 / 1 / 2)
|
||||
|
||||
* **2 points:** Every information point in the candidate memory is supported by the dialogue or golden memories, with **no contradictions or hallucinations**.
|
||||
* **1 point:** The candidate memory is *partially correct* (at least one supported information point) but also includes *unsupported* or *contradictory* content.
|
||||
* **0 points:** The candidate memory is **entirely unsupported or contradictory** to the sources (i.e., a “hallucinated memory”).
|
||||
|
||||
> Note:
|
||||
>
|
||||
> * If a candidate memory contains multiple information points, **any unsupported or contradictory element** prevents a full score (2).
|
||||
> * If both supported and unsupported/conflicting content appear, assign a score of **1**.
|
||||
|
||||
### 3) Inclusion in Golden Memories (Boolean field-level judgment)
|
||||
|
||||
**Definition:**
|
||||
|
||||
* **Atomic information point:** the smallest factual unit in the candidate memory (e.g., *name = Li Si*, *age = 25*, *location = Beijing*, *preference = coffee*, *budget ≤ 2000*, *meeting_time = Wednesday 10:00*, *tool = Zoom*, etc.).
|
||||
* **Field / Slot:** the semantic dimension of an information point (e.g., *name*, *age*, *residence*, *food preference*, *budget*, *meeting time*, *meeting tool*, etc.).
|
||||
|
||||
**Judgment Rules (independent of correctness):**
|
||||
|
||||
* **true:**
|
||||
Every atomic information point in the candidate memory has a corresponding **field** in the golden memories (allowing for synonyms, paraphrases, or equivalent expressions; ignore value, polarity, or quantity differences).
|
||||
|
||||
* Note: A single field in the gold list may match multiple candidate points (e.g., multiple “drink preference” facts can be covered by one “drink preference” field in gold).
|
||||
* **false:**
|
||||
If **any** atomic information point’s field in the candidate memory cannot be found in the golden memories, mark as *false*.
|
||||
|
||||
**Important Notes:**
|
||||
|
||||
* Field matching is restricted to fields that are **explicitly present or semantically recognizable** in the golden memories — no external knowledge may be used to expand the field set.
|
||||
* Differences in **values** (e.g., “Zhang San” vs. “Li Si”), **polarity** (like/dislike), or **exact number/time** do **not** affect this Boolean judgment.
|
||||
|
||||
# Evaluation Procedure
|
||||
|
||||
For each candidate memory:
|
||||
|
||||
1. **Decompose** it into atomic information points (e.g., name, number, location, preference).
|
||||
2. For each information point, **search** the dialogue and golden memories for supporting or contradictory evidence.
|
||||
3. Assign the **accuracy_score** (0 / 1 / 2) according to the rules above.
|
||||
4. Determine **is_included_in_golden_memories (true/false)**:
|
||||
|
||||
* Identify each information point’s field;
|
||||
* If *all* fields exist in the golden memories, mark as *true*; otherwise, *false*.
|
||||
5. Provide a **concise Chinese explanation** in `"reason"`, citing key evidence (short excerpts allowed), and clearly state any unsupported or contradictory parts if applicable.
|
||||
|
||||
# Output Format (strictly required)
|
||||
|
||||
Output **only one JSON object**, with the following three fields:
|
||||
|
||||
* `"accuracy_score"`: `"0"` or `"1"` or `"2"`
|
||||
* `"is_included_in_golden_memories"`: `"true"` or `"false"`
|
||||
* `"reason"`: `"brief explanation in Chinese"`
|
||||
|
||||
Do **not** include any other text, explanation, or fields.
|
||||
Do **not** include the candidate memory text inside the JSON.
|
||||
|
||||
Please output **only** the following JSON (in a code block):
|
||||
|
||||
```json
|
||||
{{
|
||||
"accuracy_score": "2 | 1 | 0",
|
||||
"is_included_in_golden_memories": "true | false",
|
||||
"reason": "Brief explanation in Chinese"
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_UPDATE_MEMORY: |
|
||||
Your task is to **evaluate the update accuracy** of an AI memory system.
|
||||
Based on the information provided below, determine whether the system-generated **“Generated Memories”** correctly **includes** the **Target Memory for Update**.
|
||||
|
||||
# Background Information
|
||||
|
||||
The following information is provided for evaluation:
|
||||
|
||||
1. **Generated Memories:**
|
||||
This is the list of memory points generated by the system after the current dialogue.
|
||||
{memories}
|
||||
|
||||
2. **Target Memory for Update:**
|
||||
This is the correct, updated version of the memory point that should have been produced — the one we focus on in this evaluation.
|
||||
{updated_memory}
|
||||
|
||||
3. **Original Memory Content:**
|
||||
This is the original version of the target memory before the update.
|
||||
{original_memory}
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
Please make your judgment **strictly based on the content update of the “Target Memory for Update.”**
|
||||
Use the following categories:
|
||||
|
||||
### Correct Update
|
||||
|
||||
* **Generated Memories** **contains all information points** from the “Target Memory for Update,” accurately and completely reflecting the intended update.
|
||||
* **Key fields** (e.g., date, time, values, proper nouns, etc.) must match exactly.
|
||||
* The **original memory** is effectively replaced or marked as outdated.
|
||||
* Synonymous or slightly rephrased expressions are acceptable.
|
||||
|
||||
### Hallucinated Update
|
||||
|
||||
* **Factual error:** The **Generated Memories** includes a new memory related to the “Target Memory for Update,” but its content contains factual mistakes or contradictions compared to the correct update.
|
||||
|
||||
### Omitted Update
|
||||
|
||||
* **Completely omitted:** The **Generated Memories** contains no new memory related to the “Target Memory for Update.”
|
||||
* **Partially omitted:** A related new memory was generated in **Generated Memories**, but it **misses key information** that should have been included.
|
||||
|
||||
### Other
|
||||
|
||||
Used for update failures that do **not clearly fall** into the above categories of “Hallucination” or “Omission.”
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please return your evaluation strictly in the following JSON format and provide a concise explanation.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reason": "Briefly explain your reasoning here and why it fits this category.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission | Other"
|
||||
}}
|
||||
```
|
||||
|
||||
EVALUATION_PROMPT_FOR_QUESTION: |
|
||||
You are an **evaluation expert for AI memory system question answering**.
|
||||
Based **only** on the provided **“Question”**, **“Reference Answer”**, and **“Key Memory Points”** (the essential facts needed to derive the reference answer), strictly evaluate the **accuracy** of the **“Memory System Response.”** Classify it as one of **“Correct”**, **“Hallucination”**, or **“Omission.”** Do **not** use any external knowledge or subjective inference. Finally, output your judgment **strictly** in the specified JSON format.
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
## Answer Type Classification
|
||||
|
||||
### 1. Correct
|
||||
|
||||
* The “Memory System Response” accurately answers the “Question,” and its content is **semantically equivalent** to the “Reference Answer.”
|
||||
* It contains **no contradictions** with the “Key Memory Points” or “Reference Answer.”
|
||||
* It introduces **no unsupported details** beyond the “Key Memory Points” that could alter the conclusion.
|
||||
* Synonyms, paraphrasing, and reasonable summarization are acceptable.
|
||||
|
||||
### 2. Hallucination
|
||||
|
||||
* The “Memory System Response” includes information or facts that **contradict or are inconsistent** with the “Reference Answer” or the “Key Memory Points.”
|
||||
* When the “Reference Answer” is labeled as *unknown/uncertain*, yet the response provides a specific verifiable fact or conclusion.
|
||||
* Extra irrelevant information that does **not change** the conclusion is **not** considered hallucination by itself; however, if it **changes or misleads** the conclusion, or **contradicts** the “Key Memory Points,” it should be judged as a **Hallucination**.
|
||||
|
||||
### 3. Omission
|
||||
|
||||
* The response is **incomplete** compared to the “Reference Answer.”
|
||||
* It explicitly states “don’t know,” “can’t remember,” or “no related memory,” even though relevant information exists in the “Key Memory Points.”
|
||||
* For multi-element questions, **all elements must be correct and present**; omission of **any** element is considered an **Omission**.
|
||||
|
||||
## Priority Rules (Conflict Handling)
|
||||
|
||||
* If the response contains **both missing necessary information** and **fabricated/contradictory information**, classify it as **Hallucination**.
|
||||
* If there is **no fabrication/contradiction** but some necessary information is missing, classify it as **Omission**.
|
||||
* Only when the meaning is **fully equivalent** to the reference answer should it be classified as **Correct**.
|
||||
|
||||
## Detailed Guidelines and Tolerance
|
||||
|
||||
* Equivalent expressions of numbers, times, and units are acceptable, but the **numerical values themselves must not differ**.
|
||||
* For multi-element questions, **all elements must be complete and accurate**; missing any element counts as **Omission**.
|
||||
* If the reference answer is *“unknown / cannot be determined”* and the system provides a definite fact, that is a **Hallucination**.
|
||||
If the system also answers *“unknown”* (without guessing), it may be **Correct**.
|
||||
* The evaluation must rely **only** on the *Reference Answer*, *Key Memory Points*, and *System Response* — no external context, world knowledge, or speculative reasoning is allowed.
|
||||
|
||||
# Information for Evaluation
|
||||
|
||||
* **Question:**
|
||||
{question}
|
||||
|
||||
* **Reference Answer:**
|
||||
{reference_answer}
|
||||
|
||||
* **Key Memory Points:**
|
||||
{key_memory_points}
|
||||
|
||||
* **Memory System Response:**
|
||||
{response}
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please provide your evaluation result **strictly** in the JSON format below.
|
||||
Do **not** add any extra explanation or comments outside the JSON block.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise and traceable evaluation rationale: first compare the system’s response with the Key Memory Points (which were correctly used, which were missing, and whether there was any fabrication/contradiction), then assess its consistency with the Reference Answer, and finally state the classification basis.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission"
|
||||
}}
|
||||
```
|
||||
|
||||
|
||||
EVALUATION_PROMPT_FOR_QUESTION2: |
|
||||
You are an **evaluation expert for AI memory system question answering**.
|
||||
|
||||
Based **only** on the provided **"Question"**, **"Reference Answer"**, and **"Key Memory Points"** (the essential facts needed to derive the reference answer), strictly evaluate the **accuracy** of the **"Memory System Response."** Classify it as one of **"Correct"**, **"Hallucination"**, or **"Omission."** Do **not** use any external knowledge or subjective inference. Finally, output your judgment **strictly** in the specified JSON format.
|
||||
|
||||
# Evaluation Criteria
|
||||
|
||||
## Answer Type Classification
|
||||
|
||||
### 1. Correct
|
||||
|
||||
* The "Memory System Response" accurately answers the "Question," and its content is **semantically equivalent** to the "Reference Answer."
|
||||
* It contains **no contradictions** with the "Key Memory Points" or "Reference Answer."
|
||||
* **Extra details not present in the Key Memory Points are allowed and should not be penalized**, as long as they:
|
||||
- Do not contradict the Key Memory Points or Reference Answer
|
||||
- Do not change or mislead the core conclusion
|
||||
- Are reasonable additional context that the memory system may have retained from the conversation
|
||||
* The memory system may have stored additional information beyond the Key Memory Points. Such extra information should be treated as **supplementary context** rather than hallucination, provided it does not conflict with the core answer.
|
||||
* Synonyms, paraphrasing, and reasonable summarization are acceptable.
|
||||
|
||||
### 2. Hallucination
|
||||
|
||||
* The "Memory System Response" includes information or facts that **contradict or are inconsistent** with the "Reference Answer" or the "Key Memory Points."
|
||||
* The response provides information that **directly contradicts** known facts from the Key Memory Points.
|
||||
* When the "Reference Answer" is labeled as *unknown/uncertain*, yet the response provides a specific verifiable fact or conclusion.
|
||||
* **Important:** Extra information that is NOT in Key Memory Points is **NOT automatically a hallucination**. Only classify as hallucination if the extra information:
|
||||
- Directly contradicts the Key Memory Points or Reference Answer
|
||||
- Changes or misleads the core conclusion in a way that makes the answer incorrect
|
||||
- Provides a definitive answer when the Reference Answer indicates uncertainty
|
||||
|
||||
### 3. Omission
|
||||
|
||||
* The response is **incomplete** compared to the "Reference Answer."
|
||||
* It explicitly states "don't know," "can't remember," or "no related memory," even though relevant information exists in the "Key Memory Points."
|
||||
* For multi-element questions, **all elements must be correct and present**; omission of **any** element is considered an **Omission**.
|
||||
|
||||
## Priority Rules (Conflict Handling)
|
||||
|
||||
* If the response contains **both missing necessary information** and **fabricated/contradictory information**, classify it as **Hallucination**.
|
||||
* If there is **no fabrication/contradiction** but some necessary information is missing, classify it as **Omission**.
|
||||
* If the core answer is correct and complete, classify as **Correct** even if there are extra details not in Key Memory Points (as long as they don't contradict or mislead).
|
||||
|
||||
## Detailed Guidelines and Tolerance
|
||||
|
||||
* Equivalent expressions of numbers, times, and units are acceptable, but the **numerical values themselves must not differ**.
|
||||
* For multi-element questions, **all elements must be complete and accurate**; missing any element counts as **Omission**.
|
||||
* If the reference answer is *"unknown / cannot be determined"* and the system provides a definite fact, that is a **Hallucination**.
|
||||
If the system also answers *"unknown"* (without guessing), it may be **Correct**.
|
||||
* **Focus on evaluating whether the core answer to the question is correct**, not whether the response is limited to only the Key Memory Points.
|
||||
* Extra contextual information (e.g., additional preferences, related details) should be viewed as enrichment, not as errors, unless they contradict or mislead.
|
||||
|
||||
# Information for Evaluation
|
||||
|
||||
* **Question:**
|
||||
{question}
|
||||
|
||||
* **Reference Answer:**
|
||||
{reference_answer}
|
||||
|
||||
* **Key Memory Points:**
|
||||
{key_memory_points}
|
||||
|
||||
* **Memory System Response:**
|
||||
{response}
|
||||
|
||||
# Output Requirements
|
||||
|
||||
Please provide your evaluation result **strictly** in the JSON format below.
|
||||
Do **not** add any extra explanation or comments outside the JSON block.
|
||||
|
||||
```json
|
||||
{{
|
||||
"reasoning": "Provide a concise and traceable evaluation rationale: first verify that the system's response correctly includes all required elements from the Reference Answer, then check if any information contradicts the Key Memory Points or Reference Answer. Extra details not in Key Memory Points should be noted but not penalized unless they contradict or mislead. Finally state the classification basis.",
|
||||
"evaluation_result": "Correct | Hallucination | Omission"
|
||||
}}
|
||||
```
|
||||
"""
|
||||
|
|
@ -1,48 +0,0 @@
|
|||
# Longmemeval
|
||||
Experiment Quick Start Guide
|
||||
This guide helps you quickly set up and run Longmemeval experiments with ReMe integration.
|
||||
|
||||
### 1. Start ReMe Service
|
||||
Install ReMe (if not already installed)
|
||||
If you haven't installed the ReMe environment yet, follow these steps:
|
||||
```bash
|
||||
# Create ReMe environment
|
||||
conda create -p ./reme-env python==3.12
|
||||
conda activate ./reme-env
|
||||
|
||||
# Install ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### 2. Clone the Repository
|
||||
```bash
|
||||
cd ./benchmark/longmemeval
|
||||
mkdir -p data/
|
||||
cd data/
|
||||
wget https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned/resolve/main/longmemeval_oracle.json
|
||||
wget https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned/resolve/main/longmemeval_s_cleaned.json
|
||||
wget https://huggingface.co/datasets/xiaowu0162/longmemeval-cleaned/resolve/main/longmemeval_m_cleaned.json
|
||||
cd ..
|
||||
```
|
||||
|
||||
### 3. Run Experiments
|
||||
Launch the ReMe service to enable memory library functionality:
|
||||
```bash
|
||||
clear && python benchmark/longmemeval/eval_longmemeval_reme.py \
|
||||
--data_path benchmark/longmemeval/data/longmemeval_s_cleaned.json \
|
||||
--reme_model_name qwen-flash \
|
||||
--reme_model_name retrieve_model_name \
|
||||
--eval_model_name gpt-4o-mini-2024-07-18 \
|
||||
--batch_size 20 \
|
||||
--algo_version default
|
||||
```
|
||||
|
||||
|
||||
### 4. Evaluate Results
|
||||
Evaluate the results of the experiments:
|
||||
```bash
|
||||
python benchmark/longmememeval/compute_stats.py \
|
||||
--results_dir bench_results/longmemeval_reme \
|
||||
--output_file bench_results/longmemeval_reme/statistics.json
|
||||
```
|
||||
The `compute_stats.py` script computes various statistics from the evaluation results.
|
||||
|
|
@ -1,897 +0,0 @@
|
|||
<p align="center">
|
||||
<img src="docs/_static/figure/reme_logo.png" alt="ReMe Logo" width="50%">
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.10+-blue" alt="Python Version"></a>
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/pypi/v/reme-ai.svg?logo=pypi" alt="PyPI Version"></a>
|
||||
<a href="https://pepy.tech/project/reme-ai/"><img src="https://img.shields.io/pypi/dm/reme-ai" alt="PyPI Downloads"></a>
|
||||
<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/commit-activity/m/agentscope-ai/ReMe?style=flat-square" alt="GitHub commit activity"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
|
||||
<a href="./README.md"><img src="https://img.shields.io/badge/English-Click-yellow" alt="English"></a>
|
||||
<a href="./README_ZH.md"><img src="https://img.shields.io/badge/简体中文-点击查看-orange" alt="简体中文"></a>
|
||||
<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/stars/agentscope-ai/ReMe?style=social" alt="GitHub Stars"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<strong>Memory Management Kit for Agents, Remember Me, Refine Me.</strong><br>
|
||||
<em><sub>If you find it useful, please give us a ⭐ Star.</sub></em>
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
ReMe is a **modular memory management kit** that provides AI agents with unified memory capabilities—enabling the ability to extract, reuse, and share memories across users, tasks, and agents.
|
||||
Agent memory can be viewed as:
|
||||
|
||||
```text
|
||||
Agent Memory = Long-Term Memory + Short-Term Memory
|
||||
= (Personal + Task + Tool) Memory + (Working Memory)
|
||||
```
|
||||
|
||||
- **Personal Memory**: Understand user preferences and adapt to context
|
||||
- **Task Memory**: Learn from experience and perform better on similar tasks
|
||||
- **Tool Memory**: Optimize tool selection and parameter usage based on historical performance
|
||||
- **Working Memory**: Manage short-term context for long-running agents without context overflow
|
||||
|
||||
---
|
||||
|
||||
## 📰 Latest Updates
|
||||
|
||||
- **[2026-02]** 💻 ReMeCli: A terminal-based AI chat assistant with built-in memory management. Automatically compacts long conversations into summaries to free up context space, and persists important information as Markdown files for retrieval in future sessions. Memory design inspired by [OpenClaw](https://github.com/openclaw/openclaw).
|
||||
- [Quick Start](docs/cli/quick_start_en.md)
|
||||
- Type `/horse` to trigger the Year of the Horse Easter egg -- fireworks, a galloping horse animation, and a random blessing.
|
||||
<table border="0" cellspacing="0" cellpadding="0" style="border: none;">
|
||||
<tr style="border: none;">
|
||||
<td width="10%" style="border: none; vertical-align: middle; text-align: center;">
|
||||
<strong>马<br>上<br>有<br>钱</strong>
|
||||
</td>
|
||||
<td width="80%" style="border: none;">
|
||||
<video src="https://github.com/user-attachments/assets/d731ae5c-80eb-498b-a22c-8ab2b9169f87" autoplay muted loop controls></video>
|
||||
</td>
|
||||
<td width="10%" style="border: none; vertical-align: middle; text-align: center;">
|
||||
<strong>马<br>到<br>成<br>功</strong>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
- **[2025-12]** 📄 Our procedural (task) memory paper has been released on [arXiv](https://arxiv.org/abs/2512.10696)
|
||||
- **[2025-11]** 🧠 React-agent with working-memory demo ([Intro](docs/work_memory/message_offload.md)) with ([Quick Start](docs/cookbook/working/quick_start.md)) and ([Code](cookbook/working_memory/work_memory_demo.py))
|
||||
- **[2025-10]** 🚀 Direct Python import support: use `from reme_ai import ReMeApp` without HTTP/MCP service
|
||||
- **[2025-10]** 🔧 Tool Memory: data-driven tool selection and parameter optimization ([Guide](docs/tool_memory/tool_memory.md))
|
||||
- **[2025-09]** 🎉 Async operations support, integrated into agentscope-runtime
|
||||
- **[2025-09]** 🎉 Task memory and personal memory integration
|
||||
- **[2025-09]** 🧪 Validated effectiveness in appworld, bfcl(v3), and frozenlake ([Experiments](docs/cookbook))
|
||||
- **[2025-08]** 🚀 MCP protocol support ([Quick Start](docs/mcp_quick_start.md))
|
||||
- **[2025-06]** 🚀 Multiple backend vector storage (Elasticsearch & ChromaDB) ([Guide](docs/vector_store_api_guide.md))
|
||||
- **[2024-09]** 🧠 Personalized and time-aware memory storage
|
||||
|
||||
---
|
||||
|
||||
## ✨ Architecture Design
|
||||
|
||||
<p align="center">
|
||||
<img src="docs/_static/figure/reme_structure.jpg" alt="ReMe Architecture" width="80%">
|
||||
</p>
|
||||
|
||||
ReMe provides a **modular memory management kit** with pluggable components that can be integrated into any agent framework. The system consists of:
|
||||
|
||||
#### 🧠 **Task Memory/Experience**
|
||||
|
||||
Procedural knowledge reused across agents
|
||||
|
||||
- **Success Pattern Recognition**: Identify effective strategies and understand their underlying principles
|
||||
- **Failure Analysis Learning**: Learn from mistakes and avoid repeating the same issues
|
||||
- **Comparative Patterns**: Different sampling trajectories provide more valuable memories through comparison
|
||||
- **Validation Patterns**: Confirm the effectiveness of extracted memories through validation modules
|
||||
|
||||
Learn more about how to use task memory from [task memory](docs/task_memory/task_memory.md)
|
||||
|
||||
#### 👤 **Personal Memory**
|
||||
|
||||
Contextualized memory for specific users
|
||||
|
||||
- **Individual Preferences**: User habits, preferences, and interaction styles
|
||||
- **Contextual Adaptation**: Intelligent memory management based on time and context
|
||||
- **Progressive Learning**: Gradually build deep understanding through long-term interaction
|
||||
- **Time Awareness**: Time sensitivity in both retrieval and integration
|
||||
|
||||
Learn more about how to use personal memory from [personal memory](docs/personal_memory/personal_memory.md)
|
||||
|
||||
#### 🔧 **Tool Memory**
|
||||
|
||||
Data-driven tool selection and usage optimization
|
||||
|
||||
- **Historical Performance Tracking**: Success rates, execution times, and token costs from real usage
|
||||
- **LLM-as-Judge Evaluation**: Qualitative insights on why tools succeed or fail
|
||||
- **Parameter Optimization**: Learn optimal parameter configurations from successful calls
|
||||
- **Dynamic Guidelines**: Transform static tool descriptions into living, learned manuals
|
||||
|
||||
Learn more about how to use tool memory from [tool memory](docs/tool_memory/tool_memory.md)
|
||||
|
||||
#### 🧠 Working Memory
|
||||
|
||||
Short‑term contextual memory for long‑running agents via **message offload & reload**:
|
||||
- **Message Offload**: Compact large tool outputs to external files or LLM summaries
|
||||
- **Message Reload**: Search (`grep_working_memory`) and read (`read_working_memory`) offloaded content on demand
|
||||
📖 **Concept & API**:
|
||||
- Message offload overview: [Message Offload](docs/work_memory/message_offload.md)
|
||||
- Offload / reload operators: [Message Offload Ops](docs/work_memory/message_offload_ops.md), [Message Reload Ops](docs/work_memory/message_reload_ops.md)
|
||||
💻 **End‑to‑End Demo**:
|
||||
- Working memory quick start: [Working Memory Quick Start](docs/cookbook/working/quick_start.md)
|
||||
- ReAct agent with working memory: [react_agent_with_working_memory.py](cookbook/working_memory/react_agent_with_working_memory.py)
|
||||
- Runnable demo: [work_memory_demo.py](cookbook/working_memory/work_memory_demo.py)
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ Installation
|
||||
|
||||
### Install from PyPI (Recommended)
|
||||
|
||||
```bash
|
||||
pip install reme-ai
|
||||
```
|
||||
|
||||
### Install from Source
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### Environment Configuration
|
||||
|
||||
ReMe requires LLM and embedding model configurations. Copy `example.env` to `.env` and configure:
|
||||
|
||||
```bash
|
||||
FLOW_LLM_API_KEY=sk-xxxx
|
||||
FLOW_LLM_BASE_URL=https://xxxx/v1
|
||||
FLOW_EMBEDDING_API_KEY=sk-xxxx
|
||||
FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Quick Start
|
||||
|
||||
### HTTP Service Startup
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=http \
|
||||
http.port=8002 \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### MCP Server Support
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=stdio \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### Core API Usage
|
||||
|
||||
#### Task Memory Management
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
response = requests.post("http://localhost:8002/summary_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
})
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python import version</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
result = await app.async_execute(
|
||||
name="summary_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "Help me create a project plan"}
|
||||
],
|
||||
"score": 1.0
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
result = await app.async_execute(
|
||||
name="retrieve_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="How to efficiently manage project progress?",
|
||||
top_k=1
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl version</summary>
|
||||
|
||||
```bash
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
curl -X POST http://localhost:8002/summary_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
}'
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
curl -X POST http://localhost:8002/retrieve_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### Personal Memory Management
|
||||
|
||||
```python
|
||||
# Memory Integration: Learn from user interactions
|
||||
response = requests.post("http://localhost:8002/summary_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages":
|
||||
[
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
response = requests.post("http://localhost:8002/retrieve_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user's work habits?",
|
||||
"top_k": 5
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python import version</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Memory Integration: Learn from user interactions
|
||||
result = await app.async_execute(
|
||||
name="summary_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
result = await app.async_execute(
|
||||
name="retrieve_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="What are the user's work habits?",
|
||||
top_k=5
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl version</summary>
|
||||
|
||||
```bash
|
||||
# Memory Integration: Learn from user interactions
|
||||
curl -X POST http://localhost:8002/summary_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant", "content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]}
|
||||
]
|
||||
}'
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
curl -X POST http://localhost:8002/retrieve_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user'\''s work habits?",
|
||||
"top_k": 5
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### Tool Memory Management
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# Record tool execution results
|
||||
response = requests.post("http://localhost:8002/add_tool_call_result", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# Generate usage guidelines from history
|
||||
response = requests.post("http://localhost:8002/summary_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
response = requests.post("http://localhost:8002/retrieve_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python import version</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Record tool execution results
|
||||
result = await app.async_execute(
|
||||
name="add_tool_call_result",
|
||||
workspace_id="tool_workspace",
|
||||
tool_call_results=[
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Generate usage guidelines from history
|
||||
result = await app.async_execute(
|
||||
name="summary_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
result = await app.async_execute(
|
||||
name="retrieve_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl version</summary>
|
||||
|
||||
```bash
|
||||
# Record tool execution results
|
||||
curl -X POST http://localhost:8002/add_tool_call_result \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": true,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
}'
|
||||
|
||||
# Generate usage guidelines from history
|
||||
curl -X POST http://localhost:8002/summary_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
curl -X POST http://localhost:8002/retrieve_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### Working Memory Management
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# Summarize and compact working memory for a long-running conversation
|
||||
response = requests.post("http://localhost:8002/summary_working_memory", json={
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
"working_summary_mode": "auto",
|
||||
"compact_ratio_threshold": 0.75,
|
||||
"max_total_tokens": 20000,
|
||||
"max_tool_message_tokens": 2000,
|
||||
"group_token_threshold": 4000,
|
||||
"keep_recent_count": 2,
|
||||
"store_dir": "test_working_memory",
|
||||
"chat_id": "demo_chat_id"
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python import version</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Summarize and compact working memory for a long-running conversation
|
||||
result = await app.async_execute(
|
||||
name="summary_working_memory",
|
||||
messages=[
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
working_summary_mode="auto",
|
||||
compact_ratio_threshold=0.75,
|
||||
max_total_tokens=20000,
|
||||
max_tool_message_tokens=2000,
|
||||
group_token_threshold=4000,
|
||||
keep_recent_count=2,
|
||||
store_dir="test_working_memory",
|
||||
chat_id="demo_chat_id",
|
||||
)
|
||||
print(result)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl version</summary>
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:8002/summary_working_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
"working_summary_mode": "auto",
|
||||
"compact_ratio_threshold": 0.75,
|
||||
"max_total_tokens": 20000,
|
||||
"max_tool_message_tokens": 2000,
|
||||
"group_token_threshold": 4000,
|
||||
"keep_recent_count": 2,
|
||||
"store_dir": "test_working_memory",
|
||||
"chat_id": "demo_chat_id"
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## 📦 Pre-built Memory Library
|
||||
|
||||
ReMe provides a **memory library** with pre-extracted, production-ready memories that agents can load and use immediately:
|
||||
|
||||
### Available Memory Packs
|
||||
|
||||
| Memory Pack | Domain | Size | Description |
|
||||
|----------------------|----------------|---------------|-------------------------------------------------------------------------------------|
|
||||
| **`appworld.jsonl`** | Task Execution | ~100 memories | Complex task planning patterns, multi-step workflows, and error recovery strategies |
|
||||
| **`bfcl_v3.jsonl`** | Tool Usage | ~150 memories | Function calling patterns, parameter optimization, and tool selection strategies |
|
||||
|
||||
### Loading Pre-built Memories
|
||||
|
||||
```python
|
||||
# Load pre-built memories
|
||||
response = requests.post("http://localhost:8002/vector_store", json={
|
||||
"workspace_id": "appworld",
|
||||
"action": "load",
|
||||
"path": "./docs/library/"
|
||||
})
|
||||
|
||||
# Query relevant memories
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "appworld",
|
||||
"query": "How to navigate to settings and update user profile?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python import version</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Load pre-built memories
|
||||
result = await app.async_execute(
|
||||
name="vector_store",
|
||||
workspace_id="appworld",
|
||||
action="load",
|
||||
path="./docs/library/"
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Query relevant memories
|
||||
result = await app.async_execute(
|
||||
name="retrieve_task_memory",
|
||||
workspace_id="appworld",
|
||||
query="How to navigate to settings and update user profile?",
|
||||
top_k=1
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
## 🧪 Experiments
|
||||
|
||||
### 🌍 [Appworld Experiment](docs/cookbook/appworld/quickstart.md)
|
||||
|
||||
We tested ReMe on Appworld using Qwen3-8B (non-thinking mode):
|
||||
|
||||
| Method | Avg@4 | Pass@4 |
|
||||
|--------------|---------------------|---------------------|
|
||||
| without ReMe | 0.1497 | 0.3285 |
|
||||
| with ReMe | 0.1706 **(+2.09%)** | 0.3631 **(+3.46%)** |
|
||||
|
||||
Pass@K measures the probability that at least one of the K generated samples successfully completes the task (
|
||||
score=1).
|
||||
The current experiment uses an internal AppWorld environment, which may have slight differences.
|
||||
|
||||
You can find more details on reproducing the experiment in [quickstart.md](docs/cookbook/appworld/quickstart.md).
|
||||
|
||||
### 🔧 [BFCL-V3 Experiment](docs/cookbook/bfcl/quickstart.md)
|
||||
|
||||
We tested ReMe on BFCL-V3 multi-turn-base (randomly split 50train/150val) using Qwen3-8B (thinking mode):
|
||||
|
||||
| Method | Avg@4 | Pass@4 |
|
||||
|--------------|---------------------|---------------------|
|
||||
| without ReMe | 0.4033 | 0.5955 |
|
||||
| with ReMe | 0.4450 **(+4.17%)** | 0.6577 **(+6.22%)** |
|
||||
|
||||
### 🧊 [Frozenlake Experiment](docs/cookbook/frozenlake/quickstart.md)
|
||||
|
||||
| without ReMe | with ReMe |
|
||||
|:----------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------:|
|
||||
| <p align="center"><img src="docs/_static/figure/frozenlake_failure.gif" alt="GIF 1" width="30%"></p> | <p align="center"><img src="docs/_static/figure/frozenlake_success.gif" alt="GIF 2" width="30%"></p> |
|
||||
|
||||
We tested on 100 random frozenlake maps using qwen3-8b:
|
||||
|
||||
| Method | pass rate |
|
||||
|--------------|------------------|
|
||||
| without ReMe | 0.66 |
|
||||
| with ReMe | 0.72 **(+6.0%)** |
|
||||
|
||||
You can find more details on reproducing the experiment in [quickstart.md](docs/cookbook/frozenlake/quickstart.md).
|
||||
|
||||
### 🛠️ [Tool Memory Benchmark](docs/tool_memory/tool_bench.md)
|
||||
|
||||
We evaluated Tool Memory effectiveness using a controlled benchmark with three mock search tools using Qwen3-30B-Instruct:
|
||||
|
||||
| Scenario | Avg Score | Improvement |
|
||||
|------------------------|-----------|-------------|
|
||||
| Train (No Memory) | 0.650 | - |
|
||||
| Test (No Memory) | 0.672 | Baseline |
|
||||
| **Test (With Memory)** | **0.772** | **+14.88%** |
|
||||
|
||||
**Key Findings:**
|
||||
- Tool Memory enables data-driven tool selection based on historical performance
|
||||
- Success rates improved by ~15% with learned parameter configurations
|
||||
|
||||
You can find more details in [tool_bench.md](docs/tool_memory/tool_bench.md) and the implementation at [run_reme_tool_bench.py](cookbook/tool_memory/run_reme_tool_bench.py).
|
||||
|
||||
## 📚 Resources
|
||||
|
||||
### Getting Started
|
||||
- **[Quick Start](./cookbook/simple_demo)**: Practical examples for immediate use
|
||||
- [Tool Memory Demo](cookbook/simple_demo/use_tool_memory_demo.py): Complete lifecycle demonstration of tool memory
|
||||
- [Tool Memory Benchmark](cookbook/tool_memory/run_reme_tool_bench.py): Evaluate tool memory effectiveness
|
||||
|
||||
### Integration Guides
|
||||
- **[Direct Python Import](docs/cookbook/working/quick_start.md)**: Embed ReMe directly into your agent code
|
||||
- **[HTTP Service API](docs/vector_store_api_guide.md)**: RESTful API for multi-agent systems
|
||||
- **[MCP Protocol](docs/mcp_quick_start.md)**: Integration with Claude Desktop and MCP-compatible clients
|
||||
|
||||
### Memory System Configuration
|
||||
- **[Personal Memory](docs/personal_memory)**: User preference learning and contextual adaptation
|
||||
- **[Task Memory](docs/task_memory)**: Procedural knowledge extraction and reuse
|
||||
- **[Tool Memory](docs/tool_memory)**: Data-driven tool selection and optimization
|
||||
- **[Working Memory](docs/work_memory/message_offload.md)**: Short-term context management for long-running agents
|
||||
|
||||
### Advanced Topics
|
||||
- **[Operator Pipelines](reme_ai/config/default.yaml)**: Customize memory processing workflows by modifying operator chains
|
||||
- **[Vector Store Backends](docs/vector_store_api_guide.md)**: Configure local, Elasticsearch, Qdrant, or ChromaDB storage
|
||||
- **[Example Collection](./cookbook)**: Real-world use cases and best practices
|
||||
|
||||
---
|
||||
|
||||
## ⭐ Support & Community
|
||||
|
||||
- **Star & Watch**: Stars surface ReMe to more agent builders; watching keeps you updated on new releases.
|
||||
- **Share your wins**: Open an issue or discussion with what ReMe unlocked for your agents—we love showcasing community builds.
|
||||
- **Need a feature?** File a request and we’ll help shape it together.
|
||||
|
||||
---
|
||||
|
||||
## 🤝 Contribution
|
||||
|
||||
We believe the best memory systems come from collective wisdom. Contributions welcome 👉[Guide](docs/contribution.md):
|
||||
|
||||
### Code Contributions
|
||||
|
||||
- **New Operators**: Develop custom memory processing operators (retrieval, summarization, etc.)
|
||||
- **Backend Implementations**: Add support for new vector stores or LLM providers
|
||||
- **Memory Services**: Extend with new memory types or capabilities
|
||||
- **API Enhancements**: Improve existing endpoints or add new ones
|
||||
|
||||
### Documentation Improvements
|
||||
|
||||
- **Integration Examples**: Show how to integrate ReMe with different agent frameworks
|
||||
- **Operator Tutorials**: Document custom operator development
|
||||
- **Best Practice Guides**: Share effective memory management patterns
|
||||
- **Use Case Studies**: Demonstrate ReMe in real-world applications
|
||||
|
||||
|
||||
---
|
||||
|
||||
## 📄 Citation
|
||||
|
||||
```bibtex
|
||||
@software{AgentscopeReMe2025,
|
||||
title = {AgentscopeReMe: Memory Management Kit for Agents},
|
||||
author = {Li Yu and
|
||||
Jiaji Deng and
|
||||
Zouying Cao and
|
||||
Weikang Zhou and
|
||||
Tiancheng Qin and
|
||||
Qingxu Fu and
|
||||
Sen Huang and
|
||||
Xianzhe Xu and
|
||||
Zhaoyang Liu and
|
||||
Boyin Liu},
|
||||
url = {https://reme.agentscope.io},
|
||||
year = {2025}
|
||||
}
|
||||
|
||||
@misc{AgentscopeReMe2025Paper,
|
||||
title={Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution},
|
||||
author={Zouying Cao and
|
||||
Jiaji Deng and
|
||||
Li Yu and
|
||||
Weikang Zhou and
|
||||
Zhaoyang Liu and
|
||||
Bolin Ding and
|
||||
Hai Zhao},
|
||||
year={2025},
|
||||
eprint={2512.10696},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.AI},
|
||||
url={https://arxiv.org/abs/2512.10696},
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ⚖️ License
|
||||
|
||||
This project is licensed under the Apache License 2.0 - see the [LICENSE](./LICENSE) file for details.
|
||||
|
||||
---
|
||||
|
||||
## Star History
|
||||
|
||||
[](https://www.star-history.com/#agentscope-ai/ReMe&Date)
|
||||
|
|
@ -1,902 +0,0 @@
|
|||
<p align="center">
|
||||
<img src="docs/_static/figure/reme_logo.png" alt="ReMe 标志" width="50%">
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.10+-blue" alt="Python Version"></a>
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/pypi/v/reme-ai.svg?logo=pypi" alt="PyPI Version"></a>
|
||||
<a href="https://pepy.tech/project/reme-ai/"><img src="https://img.shields.io/pypi/dm/reme-ai" alt="PyPI Downloads"></a>
|
||||
<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/commit-activity/m/agentscope-ai/ReMe?style=flat-square" alt="GitHub commit activity"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
|
||||
<a href="./README.md"><img src="https://img.shields.io/badge/English-Click-yellow" alt="English"></a>
|
||||
<a href="./README_ZH.md"><img src="https://img.shields.io/badge/简体中文-点击查看-orange" alt="简体中文"></a>
|
||||
<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/stars/agentscope-ai/ReMe?style=social" alt="GitHub Stars"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<strong>面向智能体的记忆管理工具包, Remember Me, Refine Me.</strong><br>
|
||||
<em><sub>如果 ReMe 对你有帮助，欢迎点一个 ⭐ Star，你的支持是我们持续改进的动力。</sub></em>
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
ReMe 是一个**模块化的记忆管理工具包**，为 AI 智能体提供统一的记忆能力——支持在用户、任务与智能体之间提取、复用与共享记忆。
|
||||
|
||||
智能体的记忆可以被视为：
|
||||
|
||||
```text
|
||||
Agent Memory = Long-Term Memory + Short-Term Memory
|
||||
= (Personal + Task + Tool) Memory + (Working Memory)
|
||||
```
|
||||
|
||||
- **个人记忆（Personal Memory）**：理解用户偏好并适应上下文
|
||||
- **任务记忆（Task Memory）**：从经验中学习并在类似任务中表现更好
|
||||
- **工具记忆（Tool Memory）**：基于历史表现优化工具选择和参数使用
|
||||
- **工作记忆（Working Memory）**：管理长运行智能体的短期上下文，避免上下文溢出
|
||||
|
||||
---
|
||||
|
||||
## 📰 最新进展
|
||||
|
||||
- **[2026-02]** 💻 ReMeCli：终端 AI 聊天助手，内置记忆管理能力。当对话过长时自动将旧内容压缩为摘要以释放上下文空间，同时将重要信息以 Markdown 文件持久化存储，供未来会话自动检索使用。记忆设计灵感来源于 [OpenClaw](https://github.com/openclaw/openclaw)。
|
||||
- [快速开始](docs/cli/quick_start_en.md)
|
||||
- 输入 `/horse` 触发马年彩蛋——烟花、奔马动画和随机马年祝福。
|
||||
<table border="0" cellspacing="0" cellpadding="0" style="border: none;">
|
||||
<tr style="border: none;">
|
||||
<td width="10%" style="border: none; vertical-align: middle; text-align: center;">
|
||||
<strong>马<br>上<br>有<br>钱</strong>
|
||||
</td>
|
||||
<td width="80%" style="border: none;">
|
||||
<video src="https://github.com/user-attachments/assets/befa7e40-63ba-4db2-8251-516024616e00" autoplay muted loop controls></video>
|
||||
</td>
|
||||
<td width="10%" style="border: none; vertical-align: middle; text-align: center;">
|
||||
<strong>马<br>到<br>成<br>功</strong>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
- **[2025-12]** 📄 我们的程序性（任务）记忆论文已在 [arXiv](https://arxiv.org/abs/2512.10696) 发布
|
||||
- **[2025-11]** 🧠 基于工作记忆的 react-agent demo（[介绍](docs/work_memory/message_offload.md)、[Quick Start](docs/cookbook/working/quick_start.md)、[代码](cookbook/working_memory/work_memory_demo.py)）
|
||||
- **[2025-10]** 🚀 直接 Python 导入：支持 `from reme_ai import ReMeApp`，无需 HTTP/MCP 服务
|
||||
- **[2025-10]** 🔧 工具记忆：支持基于数据驱动的工具选择与参数优化（[指南](docs/tool_memory/tool_memory.md)）
|
||||
- **[2025-09]** 🎉 支持异步操作，并已集成至 agentscope-runtime
|
||||
- **[2025-09]** 🎉 集成任务记忆与个人记忆
|
||||
- **[2025-09]** 🧪 在 appworld、bfcl(v3)、frozenlake 等环境中验证有效性（[实验文档](docs/cookbook)）
|
||||
- **[2025-08]** 🚀 支持 MCP 协议（[快速开始](docs/mcp_quick_start.md)）
|
||||
- **[2025-06]** 🚀 支持多种向量存储后端（Elasticsearch & ChromaDB）（[向量库指南](docs/vector_store_api_guide.md)）
|
||||
- **[2024-09]** 🧠 支持个性化与时间敏感的记忆存储
|
||||
|
||||
---
|
||||
|
||||
## ✨ 架构设计
|
||||
|
||||
<p align="center">
|
||||
<img src="docs/_static/figure/reme_structure.jpg" alt="ReMe 架构" width="80%">
|
||||
</p>
|
||||
|
||||
ReMe 提供了一个**模块化的记忆管理工具包**，具有可插拔的组件，可以集成到任何智能体框架中。系统包括：
|
||||
|
||||
#### 🧠 **任务记忆 / 经验记忆（Task Memory/Experience）**
|
||||
|
||||
可在不同智能体之间复用的程序性知识：
|
||||
|
||||
- **成功模式识别**：识别有效策略并理解其背后的原理
|
||||
- **失败分析学习**：从错误中学习，避免重复踩坑
|
||||
- **对比式模式**：通过多条采样轨迹的对比获取更有价值的记忆
|
||||
- **验证模式**：通过验证模块确认提炼出的经验是否有效
|
||||
|
||||
了解如何使用任务记忆可参考：[任务记忆文档](docs/task_memory/task_memory.md)
|
||||
|
||||
#### 👤 **个人记忆（Personal Memory）**
|
||||
|
||||
面向特定用户的情境化长期记忆：
|
||||
|
||||
- **个体偏好**：记录用户的习惯、偏好与交互风格
|
||||
- **情境自适应**：基于时间与上下文动态管理记忆
|
||||
- **渐进式学习**：在长期多轮交互中不断加深对用户的理解
|
||||
- **时间敏感**：在记忆检索与整合中考虑时间因素
|
||||
|
||||
了解如何使用个人记忆可参考：[个人记忆文档](docs/personal_memory/personal_memory.md)
|
||||
|
||||
#### 🔧 **工具记忆（Tool Memory）**
|
||||
|
||||
基于真实调用数据的工具选择与使用优化：
|
||||
|
||||
- **历史表现追踪**：记录成功率、调用耗时与 Token 成本
|
||||
- **LLM-as-Judge 评估**：提供工具成功 / 失败原因的定性洞察
|
||||
- **参数优化**：从历史成功调用中学习最优参数配置
|
||||
- **动态指南**：将静态工具描述演化为可持续更新的「活文档」
|
||||
|
||||
了解如何使用工具记忆可参考：[工具记忆文档](docs/tool_memory/tool_memory.md)
|
||||
|
||||
#### 🧠 **工作记忆（Working Memory）**
|
||||
|
||||
面向长流程智能体的短期上下文记忆，通过**消息卸载与重载（message offload & reload）**实现：
|
||||
- **消息卸载（Message Offload）**：将体积巨大的工具输出压缩为外部文件或 LLM 摘要
|
||||
- **消息重载（Message Reload）**：按需搜索（`grep_working_memory`）并读取（`read_working_memory`）已卸载的内容
|
||||
|
||||
📖 **概念与 API：**
|
||||
- 消息卸载概览：[Message Offload](docs/work_memory/message_offload.md)
|
||||
- 卸载 / 重载算子：[Message Offload Ops](docs/work_memory/message_offload_ops.md)、[Message Reload Ops](docs/work_memory/message_reload_ops.md)
|
||||
|
||||
💻 **端到端 Demo：**
|
||||
- 工作记忆快速上手：[Working Memory Quick Start](docs/cookbook/working/quick_start.md)
|
||||
- 带工作记忆的 ReAct 智能体：[react_agent_with_working_memory.py](cookbook/working_memory/react_agent_with_working_memory.py)
|
||||
- 可运行 Demo：[work_memory_demo.py](cookbook/working_memory/work_memory_demo.py)
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ 安装
|
||||
|
||||
### 通过 PyPI 安装（推荐）
|
||||
|
||||
```bash
|
||||
pip install reme-ai
|
||||
```
|
||||
|
||||
### 从源码安装
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### 环境变量配置
|
||||
|
||||
复制 `example.env` 为 `.env` 并按需修改：
|
||||
|
||||
```bash
|
||||
FLOW_LLM_API_KEY=sk-xxxx
|
||||
FLOW_LLM_BASE_URL=https://xxxx/v1
|
||||
FLOW_EMBEDDING_API_KEY=sk-xxxx
|
||||
FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 快速开始
|
||||
|
||||
### 启动 HTTP 服务
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=http \
|
||||
http.port=8002 \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### 启动 MCP Server
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=stdio \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### 核心 API 用法
|
||||
|
||||
#### 任务记忆管理
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# 经验总结：从执行轨迹中学习
|
||||
response = requests.post("http://localhost:8002/summary_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
})
|
||||
|
||||
# 记忆检索：获取相关经验
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python 导入版本</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# 经验总结：从执行轨迹中学习
|
||||
result = await app.async_execute(
|
||||
name="summary_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "Help me create a project plan"}
|
||||
],
|
||||
"score": 1.0
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# 记忆检索：获取相关经验
|
||||
result = await app.async_execute(
|
||||
name="retrieve_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="How to efficiently manage project progress?",
|
||||
top_k=1
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl 版本</summary>
|
||||
|
||||
```bash
|
||||
# 经验总结：从执行轨迹中学习
|
||||
curl -X POST http://localhost:8002/summary_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
}'
|
||||
|
||||
# 记忆检索：获取相关经验
|
||||
curl -X POST http://localhost:8002/retrieve_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### 个人记忆管理
|
||||
|
||||
```python
|
||||
# 记忆整合：从用户交互中学习
|
||||
response = requests.post("http://localhost:8002/summary_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages":
|
||||
[
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# 记忆检索：获取个人记忆片段
|
||||
response = requests.post("http://localhost:8002/retrieve_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user's work habits?",
|
||||
"top_k": 5
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python 导入版本</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# 记忆整合：从用户交互中学习
|
||||
result = await app.async_execute(
|
||||
name="summary_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# 记忆检索：获取个人记忆片段
|
||||
result = await app.async_execute(
|
||||
name="retrieve_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="What are the user's work habits?",
|
||||
top_k=5
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl 版本</summary>
|
||||
|
||||
```bash
|
||||
# 记忆整合：从用户交互中学习
|
||||
curl -X POST http://localhost:8002/summary_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant", "content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]}
|
||||
]
|
||||
}'
|
||||
|
||||
# 记忆检索：获取个人记忆片段
|
||||
curl -X POST http://localhost:8002/retrieve_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user'\''s work habits?",
|
||||
"top_k": 5
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### 工具记忆管理
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# 记录工具调用结果
|
||||
response = requests.post("http://localhost:8002/add_tool_call_result", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# 从历史生成使用指南
|
||||
response = requests.post("http://localhost:8002/summary_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
|
||||
# 在使用前检索工具指南
|
||||
response = requests.post("http://localhost:8002/retrieve_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python 导入版本</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# 记录工具调用结果
|
||||
result = await app.async_execute(
|
||||
name="add_tool_call_result",
|
||||
workspace_id="tool_workspace",
|
||||
tool_call_results=[
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# 从历史生成使用指南
|
||||
result = await app.async_execute(
|
||||
name="summary_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
# 在使用前检索工具指南
|
||||
result = await app.async_execute(
|
||||
name="retrieve_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl 版本</summary>
|
||||
|
||||
```bash
|
||||
# 记录工具调用结果
|
||||
curl -X POST http://localhost:8002/add_tool_call_result \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": true,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
}'
|
||||
|
||||
# 从历史生成使用指南
|
||||
curl -X POST http://localhost:8002/summary_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
|
||||
# 在使用前检索工具指南
|
||||
curl -X POST http://localhost:8002/retrieve_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### 工作记忆管理
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# 对长对话 / 长流程的工作记忆进行压缩与总结
|
||||
response = requests.post("http://localhost:8002/summary_working_memory", json={
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
"working_summary_mode": "auto",
|
||||
"compact_ratio_threshold": 0.75,
|
||||
"max_total_tokens": 20000,
|
||||
"max_tool_message_tokens": 2000,
|
||||
"group_token_threshold": 4000,
|
||||
"keep_recent_count": 2,
|
||||
"store_dir": "test_working_memory",
|
||||
"chat_id": "demo_chat_id"
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python 导入版本</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# 对长对话 / 长流程的工作记忆进行压缩与总结
|
||||
result = await app.async_execute(
|
||||
name="summary_working_memory",
|
||||
messages=[
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
working_summary_mode="auto",
|
||||
compact_ratio_threshold=0.75,
|
||||
max_total_tokens=20000,
|
||||
max_tool_message_tokens=2000,
|
||||
group_token_threshold=4000,
|
||||
keep_recent_count=2,
|
||||
store_dir="test_working_memory",
|
||||
chat_id="demo_chat_id",
|
||||
)
|
||||
print(result)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>curl 版本</summary>
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:8002/summary_working_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant. First use `Grep` to find the line numbers that match the keywords or regular expressions, and then use `ReadFile` to read the code around those locations. If no matches are found, never give up; try different parameters, such as searching with only part of the keywords. After `Grep`, use the `ReadFile` command to view content starting from a specified `offset` and `limit`, and do not exceed 100 lines. If the current content is insufficient, you can continue trying different `offset` and `limit` values with the `ReadFile` command."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "搜索下reme项目的的README内容"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_6596dafa2a6a46f7a217da",
|
||||
"function": {
|
||||
"arguments": "{\"query\": \"readme\"}",
|
||||
"name": "web_search"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"content": "ultra large context , over 50000 tokens......"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "根据readme回答task memory在appworld的效果是多少，需要具体的数值"
|
||||
}
|
||||
],
|
||||
"working_summary_mode": "auto",
|
||||
"compact_ratio_threshold": 0.75,
|
||||
"max_total_tokens": 20000,
|
||||
"max_tool_message_tokens": 2000,
|
||||
"group_token_threshold": 4000,
|
||||
"keep_recent_count": 2,
|
||||
"store_dir": "test_working_memory",
|
||||
"chat_id": "demo_chat_id"
|
||||
}'
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## 📦 开箱即用的记忆库
|
||||
|
||||
ReMe 提供一个**记忆库**，包含预先提取的、生产就绪的记忆，智能体可以立即加载和使用：
|
||||
|
||||
### 可用记忆包
|
||||
|
||||
| 记忆包 | 领域 | 规模 | 描述 |
|
||||
|----------------------|------------|----------------|--------------------------------------------------------|
|
||||
| **`appworld.jsonl`** | 任务执行 | ~100 条记忆 | 复杂任务规划模式、多步骤工作流和错误恢复策略 |
|
||||
| **`bfcl_v3.jsonl`** | 工具使用 | ~150 条记忆 | 函数调用模式、参数优化和工具选择策略 |
|
||||
|
||||
### 加载预构建记忆
|
||||
|
||||
```python
|
||||
# 加载内置记忆
|
||||
response = requests.post("http://localhost:8002/vector_store", json={
|
||||
"workspace_id": "appworld",
|
||||
"action": "load",
|
||||
"path": "./docs/library/"
|
||||
})
|
||||
|
||||
# 查询相关记忆
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "appworld",
|
||||
"query": "How to navigate to settings and update user profile?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Python 导入版本</summary>
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# 加载内置记忆
|
||||
result = await app.async_execute(
|
||||
name="vector_store",
|
||||
workspace_id="appworld",
|
||||
action="load",
|
||||
path="./docs/library/"
|
||||
)
|
||||
print(result)
|
||||
|
||||
# 查询相关记忆
|
||||
result = await app.async_execute(
|
||||
name="retrieve_task_memory",
|
||||
workspace_id="appworld",
|
||||
query="How to navigate to settings and update user profile?",
|
||||
top_k=1
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## 🧪 实验结果
|
||||
|
||||
### 🌍 [Appworld 实验](docs/cookbook/appworld/quickstart.md)
|
||||
|
||||
我们在 Appworld 环境上使用 Qwen3-8B（非思考模式）进行评测：
|
||||
|
||||
| 方法 | Avg@4 | Pass@4 |
|
||||
|-----------|-------------------|-------------------|
|
||||
| 无 ReMe | 0.1497 | 0.3285 |
|
||||
| 使用 ReMe | 0.1706 **(+2.09%)** | 0.3631 **(+3.46%)** |
|
||||
|
||||
Pass@K 衡量在生成 K 个候选中，至少一个成功完成任务（score=1）的概率。
|
||||
当前实验使用的是内部 AppWorld 环境，可能与对外版本存在轻微差异。
|
||||
|
||||
关于如何复现实验的更多细节，见 [quickstart.md](docs/cookbook/appworld/quickstart.md)。
|
||||
|
||||
### 🔧 [BFCL-V3 实验](docs/cookbook/bfcl/quickstart.md)
|
||||
|
||||
我们在 BFCL-V3 multi-turn-base 任务（随机划分 50 train / 150 val）上，使用 Qwen3-8B（思考模式）进行评测：
|
||||
|
||||
| 方法 | Avg@4 | Pass@4 |
|
||||
|------------|-----------------|---------------------|
|
||||
| 无 ReMe | 0.4033 | 0.5955 |
|
||||
| 使用 ReMe | 0.4450 **(+4.17%)** | 0.6577 **(+6.22%)** |
|
||||
|
||||
### 🧊 [Frozenlake 实验](docs/cookbook/frozenlake/quickstart.md)
|
||||
|
||||
| 无 ReMe | 使用 ReMe |
|
||||
|:------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------:|
|
||||
| <p align="center"><img src="docs/_static/figure/frozenlake_failure.gif" alt="失败示例" width="30%"></p> | <p align="center"><img src="docs/_static/figure/frozenlake_success.gif" alt="成功示例" width="30%"></p> |
|
||||
|
||||
我们在 100 张随机 frozenlake 地图上，使用 qwen3-8b 进行测试：
|
||||
|
||||
| 方法 | 通过率 |
|
||||
|------------|-----------------|
|
||||
| 无 ReMe | 0.66 |
|
||||
| 使用 ReMe | 0.72 **(+6.0%)** |
|
||||
|
||||
更多复现实验细节见 [quickstart.md](docs/cookbook/frozenlake/quickstart.md)。
|
||||
|
||||
### 🛠️ [工具记忆基准](docs/tool_memory/tool_bench.md)
|
||||
|
||||
我们在一个受控基准上，使用三个模拟搜索工具与 Qwen3-30B-Instruct 评估工具记忆的效果：
|
||||
|
||||
| 场景 | 平均分 | 提升 |
|
||||
|-----------------------|--------|------------|
|
||||
| 训练集（无记忆） | 0.650 | - |
|
||||
| 测试集（无记忆） | 0.672 | 基线 |
|
||||
| **测试集（使用记忆）** | **0.772** | **+14.88%** |
|
||||
|
||||
**关键结论：**
|
||||
- 工具记忆可以基于历史表现进行数据驱动的工具选择
|
||||
- 通过学习参数配置，成功率约提升 15%
|
||||
|
||||
更多细节见 [tool_bench.md](docs/tool_memory/tool_bench.md) 与实现代码 [run_reme_tool_bench.py](cookbook/tool_memory/run_reme_tool_bench.py)。
|
||||
|
||||
---
|
||||
|
||||
## 📚 资源
|
||||
|
||||
### 快速入门
|
||||
- **[Quick Start](./cookbook/simple_demo)**：实用示例，可立即使用
|
||||
- [工具记忆 Demo](cookbook/simple_demo/use_tool_memory_demo.py)：工具记忆的完整生命周期演示
|
||||
- [工具记忆基准](cookbook/tool_memory/run_reme_tool_bench.py)：评估工具记忆效果
|
||||
|
||||
### 集成指南
|
||||
- **[直接 Python 导入](docs/cookbook/working/quick_start.md)**：将 ReMe 直接嵌入到你的智能体代码中
|
||||
- **[HTTP 服务 API](docs/vector_store_api_guide.md)**：用于多智能体系统的 RESTful API
|
||||
- **[MCP 协议](docs/mcp_quick_start.md)**：与 Claude Desktop 和 MCP 兼容客户端集成
|
||||
|
||||
### 记忆系统配置
|
||||
- **[个人记忆](docs/personal_memory)**：用户偏好学习和上下文自适应
|
||||
- **[任务记忆](docs/task_memory)**：程序性知识提取和复用
|
||||
- **[工具记忆](docs/tool_memory)**：数据驱动的工具选择和优化
|
||||
- **[工作记忆](docs/work_memory/message_offload.md)**：长流程智能体的短期上下文管理
|
||||
|
||||
### 高级主题
|
||||
- **[算子管道](reme_ai/config/default.yaml)**：通过修改算子链来自定义记忆处理工作流
|
||||
- **[向量存储后端](docs/vector_store_api_guide.md)**：配置本地、Elasticsearch、Qdrant 或 ChromaDB 存储
|
||||
- **[案例集](./cookbook)**：真实场景的用例和最佳实践
|
||||
|
||||
---
|
||||
|
||||
## ⭐ 社区与支持
|
||||
|
||||
- **Star & Watch**：Star 可以让更多智能体开发者发现 ReMe；Watch 能帮助你第一时间获知新版本与特性。
|
||||
- **分享你的成果**：在 Issue 或 Discussion 中分享 ReMe 为你的智能体解锁了什么——我们非常乐意展示社区的优秀案例。
|
||||
- **需要新功能？** 提交 Feature Request，我们将一起完善它。
|
||||
|
||||
---
|
||||
|
||||
## 🤝 参与贡献
|
||||
|
||||
我们相信，最好的记忆系统来自社区的集体智慧。欢迎贡献 👉[贡献指南](docs/contribution.md)：
|
||||
|
||||
### 代码贡献
|
||||
|
||||
- **新算子**：开发自定义记忆处理算子（检索、总结等）
|
||||
- **后端实现**：添加对新向量存储或 LLM 提供商的支持
|
||||
- **记忆服务**：扩展新的记忆类型或能力
|
||||
- **API 增强**：改进现有端点或添加新端点
|
||||
|
||||
### 文档改进
|
||||
|
||||
- **集成示例**：展示如何将 ReMe 与不同智能体框架集成
|
||||
- **算子教程**：记录自定义算子开发
|
||||
- **最佳实践指南**：分享有效的记忆管理模式
|
||||
- **用例研究**：展示 ReMe 在实际应用中的使用
|
||||
|
||||
---
|
||||
|
||||
## 📄 引用
|
||||
|
||||
```bibtex
|
||||
@software{AgentscopeReMe2025,
|
||||
title = {AgentscopeReMe: Memory Management Kit for Agents},
|
||||
author = {Li Yu and
|
||||
Jiaji Deng and
|
||||
Zouying Cao and
|
||||
Weikang Zhou and
|
||||
Tiancheng Qin and
|
||||
Qingxu Fu and
|
||||
Sen Huang and
|
||||
Xianzhe Xu and
|
||||
Zhaoyang Liu and
|
||||
Boyin Liu},
|
||||
url = {https://reme.agentscope.io},
|
||||
year = {2025}
|
||||
}
|
||||
|
||||
@misc{AgentscopeReMe2025Paper,
|
||||
title={Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution},
|
||||
author={Zouying Cao and
|
||||
Jiaji Deng and
|
||||
Li Yu and
|
||||
Weikang Zhou and
|
||||
Zhaoyang Liu and
|
||||
Bolin Ding and
|
||||
Hai Zhao},
|
||||
year={2025},
|
||||
eprint={2512.10696},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.AI},
|
||||
url={https://arxiv.org/abs/2512.10696},
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ⚖️ 许可证
|
||||
|
||||
本项目基于 Apache License 2.0 开源，详情参见 [LICENSE](./LICENSE) 文件。
|
||||
|
||||
---
|
||||
|
||||
## Star 历史
|
||||
|
||||
[](https://www.star-history.com/#agentscope-ai/ReMe&Date)
|
||||
132
docs/_config.yml
132
docs/_config.yml
|
|
@ -1,132 +0,0 @@
|
|||
# Book settings
|
||||
# Learn more at https://jupyterbook.org/customize/config.html
|
||||
|
||||
project: "ReMe"
|
||||
title: "<div style='text-align:center'>
|
||||
<span style='font-weight:700;color:#2196f3;'>AgentScope</span><br>
|
||||
<span style='font-weight:900;color:#ff5722;'>ReMe</span>
|
||||
</div>"
|
||||
author: Alibaba Tongyi Lab
|
||||
logo: _static/figure/logo.svg
|
||||
copyright: "2025, Tongyi Lab, Alibaba Inc."
|
||||
only_build_toc_files: true
|
||||
|
||||
# Force re-execution of notebooks on each build.
|
||||
# See https://jupyterbook.org/content/execute.html
|
||||
execute:
|
||||
execute_notebooks: off
|
||||
|
||||
parse:
|
||||
myst_enable_extensions:
|
||||
- colon_fence
|
||||
- deflist
|
||||
- attrs_inline
|
||||
- dollarmath
|
||||
|
||||
# Define the name of the latex output file for PDF builds
|
||||
latex:
|
||||
latex_documents:
|
||||
targetname: book.tex
|
||||
|
||||
# Add a bibtex file so that we can create citations
|
||||
bibtex_bibfiles:
|
||||
- references.bib
|
||||
|
||||
html:
|
||||
extra_js:
|
||||
- _static/memory-lib/memory-lib.js
|
||||
extra_css:
|
||||
- _static/memory-lib/memory-lib.css
|
||||
- _static/custom.css
|
||||
|
||||
# Sphinx settings
|
||||
sphinx:
|
||||
extra_extensions:
|
||||
- sphinx.ext.autodoc
|
||||
- sphinx.ext.viewcode
|
||||
- sphinx.ext.napoleon
|
||||
- sphinx.ext.intersphinx
|
||||
- sphinx.ext.autosummary
|
||||
- sphinxcontrib.mermaid
|
||||
- sphinx_design
|
||||
config:
|
||||
# API Documentation Configuration
|
||||
autosummary_generate: True
|
||||
autosummary_imported_members: True
|
||||
|
||||
# Autodoc Configuration
|
||||
autodoc_typehints: 'description'
|
||||
autodoc_member_order: 'bysource'
|
||||
autodoc_default_options:
|
||||
members: True
|
||||
member-order: 'bysource'
|
||||
special-members: '__init__'
|
||||
undoc-members: True
|
||||
exclude-members: '__weakref__'
|
||||
|
||||
# Napoleon Configuration
|
||||
napoleon_google_docstring: True
|
||||
napoleon_numpy_docstring: True
|
||||
napoleon_include_init_with_doc: False
|
||||
napoleon_include_private_with_doc: False
|
||||
napoleon_include_special_with_doc: True
|
||||
napoleon_use_admonition_for_examples: False
|
||||
napoleon_use_admonition_for_notes: False
|
||||
napoleon_use_admonition_for_references: False
|
||||
napoleon_use_ivar: False
|
||||
napoleon_use_param: True
|
||||
napoleon_use_rtype: True
|
||||
|
||||
# Intersphinx Configuration
|
||||
intersphinx_mapping:
|
||||
python: ['https://docs.python.org/3', null]
|
||||
numpy: ['https://numpy.org/doc/stable/', null]
|
||||
|
||||
# Theme Configuration
|
||||
html_theme: furo
|
||||
pygments_style: "friendly"
|
||||
html_show_sphinx: false
|
||||
html_last_updated_fmt: "%Y-%m-%d"
|
||||
html_copy_source: false
|
||||
html_show_sourcelink: false
|
||||
templates_path: ["./_templates"]
|
||||
html_static_path:
|
||||
- "_static"
|
||||
use_multitoc_numbering: false
|
||||
html_js_files:
|
||||
- language.js
|
||||
html_css_files:
|
||||
- custom.css
|
||||
html_sidebars:
|
||||
"**":
|
||||
- "sidebar/scroll-start.html"
|
||||
- "sidebar/brand.html"
|
||||
- "sidebar/search.html"
|
||||
- "sidebar/navigation.html"
|
||||
- "sidebar/ethical-ads.html"
|
||||
- "sidebar/scroll-end.html"
|
||||
html_theme_options:
|
||||
top_of_page_buttons: ["view"]
|
||||
sidebar_hide_name: false
|
||||
source_repository: "https://reme.agentscope.io"
|
||||
source_branch: "main"
|
||||
source_directory: "docs/"
|
||||
footer_icons:
|
||||
- name: GitHub
|
||||
url: "https://reme.agentscope.io"
|
||||
html: |
|
||||
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16">
|
||||
<path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z"></path>
|
||||
</svg>
|
||||
class: ""
|
||||
light_css_variables:
|
||||
color-brand-primary: "#2196f3"
|
||||
color-brand-content: "#2196f3"
|
||||
color-admonition-background: "#f8f9fa"
|
||||
dark_css_variables:
|
||||
color-brand-primary: "#64b5f6"
|
||||
color-brand-content: "#64b5f6"
|
||||
|
||||
# jupyter-book build --all .
|
||||
# echo "reme.agentscope.io" > _build/html/CNAME
|
||||
# ghp-import -n -p -f _build/html
|
||||
33
docs/_static/custom.css
vendored
33
docs/_static/custom.css
vendored
|
|
@ -1,33 +0,0 @@
|
|||
h1, .bd-article h1 {
|
||||
font-size: 1.8rem !important;
|
||||
}
|
||||
|
||||
h2, .bd-article h2 {
|
||||
font-size: 1.5rem !important;
|
||||
}
|
||||
|
||||
h3, .bd-article h3 {
|
||||
font-size: 1.25rem !important;
|
||||
}
|
||||
|
||||
h4, .bd-article h4 {
|
||||
font-size: 1.1rem !important;
|
||||
}
|
||||
|
||||
h5, .bd-article h5 {
|
||||
font-size: 1rem !important;
|
||||
}
|
||||
|
||||
h6, .bd-article h6 {
|
||||
font-size: 0.9rem !important;
|
||||
}
|
||||
|
||||
div.bd-sidebar .navbar-brand {
|
||||
text-align: center;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
div.bd-sidebar .navbar-brand span {
|
||||
display: block;
|
||||
text-align: center;
|
||||
}
|
||||
BIN
docs/_static/figure/frozenlake_failure.gif
vendored
BIN
docs/_static/figure/frozenlake_failure.gif
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 203 KiB |
BIN
docs/_static/figure/frozenlake_success.gif
vendored
BIN
docs/_static/figure/frozenlake_success.gif
vendored
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|
Before Width: | Height: | Size: 727 KiB |
1
docs/_static/figure/logo.svg
vendored
1
docs/_static/figure/logo.svg
vendored
|
|
@ -1 +0,0 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="none" version="1.1" width="550" height="550" viewBox="0 0 550 550"><defs><linearGradient x1="0.01500389538705349" y1="0.4831196665763855" x2="0.9407116114637801" y2="0.3076102348892569" id="master_svg0_8_2390"><stop offset="0%" stop-color="#01C5FF" stop-opacity="1"/><stop offset="100%" stop-color="#019DFB" stop-opacity="1"/></linearGradient><linearGradient x1="0.21085502207279205" y1="0.38703426718711853" x2="0.9523109409029081" y2="0.390888421140005" id="master_svg1_8_1638"><stop offset="0%" stop-color="#4701EF" stop-opacity="1"/><stop offset="100%" stop-color="#395EEF" stop-opacity="1"/></linearGradient></defs><g><g></g><g><g><path d="M275.4998779296875,211.25Q275.4998779296875,279.5,373.4999779296875,310.5Q338.4998779296875,287.5,343.9998779296875,232Q344.4969779296875,227.19400000000002,345.9004779296875,222.498Q352.96577792968753,198.857,382.9998779296875,178L415.9998779296875,193.5L469.7738779296875,193.5C477.0958779296875,193.5,481.9218779296875,185.91559999999998,478.3148779296875,179.543Q441.5068779296875,114.5,372.9998779296875,114.5C343.9998779296875,114.5,275.4998779296875,143,275.4998779296875,211.25Z" fill="url(#master_svg0_8_2390)" fill-opacity="1"/></g><g><path d="M343.9999162890625,231.99999791015625Q337.9999162890625,287.5000079101562,373.5000462890625,310.5000079101562L433.4998462890625,333.00010791015626Q449.4994462890625,314.2500079101562,449.4994462890625,295.5000079101562Q449.4994462890625,276.7500079101562,433.4998462890625,258.0000079101562L345.9004862890625,222.49810791015625Q344.4970462890625,227.19412791015625,343.9999162890625,231.99999791015625Z" fill="#0064FC" fill-opacity="1"/></g><g><path d="M122.9998779296875,351.5C124.3900479296875,350.6567,125.7727179296875,349.8325,127.1479779296875,349.0269Q125.0392779296875,350.2098,122.9998779296875,351.5ZM127.1479779296875,349.0269Q150.3716779296875,336,181.9998779296875,336C186.2692779296875,335.7983,190.4211779296875,335.9808,194.4638779296875,336.502C250.5488779296875,343.7327,285.6218779296875,416.14300000000003,321.9998779296875,432Q350.1248779296875,444,377.9998779296875,444Q405.8748779296875,444,433.4998779296875,432Q489.9998779296875,400,489.9998779296875,344.5Q489.9998779296875,283,433.4998779296875,258Q449.4998779296875,276.75,449.4998779296875,295.5Q449.4998779296875,314.25,433.4998779296875,333C394.3168779296875,374.257,360.65987792968747,359.947,319.4498779296875,342.4251C286.9518779296875,328.6077,249.7568779296875,312.7935,201.4527779296875,320.6594C179.2413779296875,324.2763,154.6808779296875,332.9,127.1479779296875,349.0269Z" fill="url(#master_svg1_8_1638)" fill-opacity="1"/></g><g><path d="M61,437.99973876953123L133.8305,437.99973876953123C141.5661,437.99973876953123,148.608,433.53913876953123,151.9131,426.54513876953126L194.464,336.50202976953125C190.421,335.98083496953126,186.269,335.79829376953126,182,335.99999996953125Q147.4999,335.99999996953125,122.9999,351.5000387695313C93.5,373.5000387695313,87,387.0000387695313,61,437.99973876953123Z" fill="#0064FC" fill-opacity="1"/></g><g><path d="M61,438.00038301849366C87,387.00038301849366,93.5,373.50038301849366,122.9999,351.50038301849366C152.2215,333.77438301849367,178.132,324.45738301849366,201.453,320.65938301849366L256.597,207.04148301849364C259.081,201.92438301849364,259.26800000000003,195.99188301849364,257.11199999999997,190.72838301849367L227.948,119.52337301849366C225.653,113.91851301849366,217.805,113.67667301849366,215.169,119.12954301849365L61,438.00038301849366Z" fill="#01C8FF" fill-opacity="1"/></g></g></g></svg>
|
||||
|
Before Width: | Height: | Size: 3.5 KiB |
BIN
docs/_static/figure/reme_logo_old.png
vendored
BIN
docs/_static/figure/reme_logo_old.png
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 264 KiB |
BIN
docs/_static/figure/reme_structure.jpg
vendored
BIN
docs/_static/figure/reme_structure.jpg
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 441 KiB |
BIN
docs/_static/figure/reme_usage.jpg
vendored
BIN
docs/_static/figure/reme_usage.jpg
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 335 KiB |
BIN
docs/_static/figure/working_memory_intro.png
vendored
BIN
docs/_static/figure/working_memory_intro.png
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 746 KiB |
193
docs/_static/memory-lib/data/appworld.jsonl
vendored
193
docs/_static/memory-lib/data/appworld.jsonl
vendored
|
|
@ -1,193 +0,0 @@
|
|||
{"workspace_id": "appworld_8b_0725", "memory_id": "dd0b9a452acc4d85a8ebd519976a01ab", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication and multiple steps to retrieve data.", "content": "Always verify the API documentation for required parameters and response structures before executing code. Missing or incorrect parameters can lead to failed API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4cf250d689254fd79fb068b64819cd96", "memory_type": "task", "when_to_use": "When mapping IDs to human-readable attributes (e.g., song IDs to titles).", "content": "Ensure all necessary APIs for mapping are called with valid inputs and handle cases where mappings might fail due to missing or incomplete data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "41903931197542e99040298d8d58bca7", "memory_type": "task", "when_to_use": "When searching for specific data in paginated API responses or when extracting structured content from unstructured text.", "content": "Ensure the query parameters align with the expected data format, and validate intermediate outputs (e.g., note titles, tags) to confirm relevance before proceeding with further steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b2cec859b815474aa84a984a458eae0d", "memory_type": "task", "when_to_use": "When encountering persistent errors related to invalid identifiers, such as phone numbers or email addresses, during API calls.", "content": "Validate the format and existence of identifiers early in the process, and consider fallback strategies (e.g., using alternate contact methods) if primary identifiers fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "580dd7fce16b4364bffb2d6a3393c13b", "memory_type": "task", "when_to_use": "When accessing an API that requires authentication but credentials are not explicitly provided in the task.", "content": "Always verify the availability of required credentials (e.g., passwords, tokens) before proceeding with steps that depend on authenticated access. If credentials are missing, halt execution and request clarification or additional information from the user.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3408d3700bbf4ce3a1cc0fb3b7f649c4", "memory_type": "task", "when_to_use": "When extracting structured data from unstructured text, such as note content, ensure proper parsing logic is implemented.", "content": "Develop robust parsing logic by identifying delimiters or patterns in the data to correctly extract relevant information without including extraneous details.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4cb32a4fbaf6481fbe27e53a38d8c6b9", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve comprehensive data sets, such as playlists or songs.", "content": "The step pattern involved iterating through all pages of the API response using a loop (e.g., while True) and checking for empty responses to terminate. This ensures no data is missed and allows aggregation of complete information across multiple pages, which is crucial when identifying the most-liked song across many playlists.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "797e8c57ef684b188ae40943ae2a7e46", "memory_type": "task", "when_to_use": "When completing a task that requires returning a final answer to the user or system.", "content": "After retrieving and processing all necessary data, the agent finalized the task by explicitly calling apis.supervisor.complete_task() with the derived answer. This step ensures proper task closure and provides clarity on the outcome, aligning with the user's query.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c2646b56478a4ab7963e44a2fb6ad49d", "memory_type": "task", "when_to_use": "When variables are used across multiple steps and depend on prior successful executions.", "content": "Always initialize variables with default values before their first use to prevent `NameError` or undefined variable issues in case of skipped or failed steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f36768adc9ed49a78bac84a818f2ad3c", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens, especially after a previous session.", "content": "Always verify the validity of access tokens at the start of a task and re-authenticate if necessary to avoid unauthorized access errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "35d0f06f3cfa479e831d4a564e7d2a79", "memory_type": "task", "when_to_use": "When processing paginated API responses or datasets with filters like date ranges.", "content": "Ensure all filtering parameters (e.g., date range, transaction type) are correctly applied during API calls to retrieve only the relevant data, minimizing unnecessary processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "eafbc872cccf41109f63fed0de00ecbf", "memory_type": "task", "when_to_use": "When encountering persistent authentication or authorization errors despite valid credentials.", "content": "Always verify that the API endpoint supports the parameters being passed (e.g., contact ID vs. phone number) and ensure the correct format is used for identifiers like phone numbers.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2da66c8f765b4e69afb1b5e8063ad355", "memory_type": "task", "when_to_use": "When searching for specific data in an app but receiving irrelevant results.", "content": "Refine search queries using multiple relevant keywords or exclude irrelevant tags to narrow down results effectively.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "10253db42db14e72bc0fb5c771a62c79", "memory_type": "task", "when_to_use": "When a task cannot proceed due to external dependencies like user-provided inputs or manual actions.", "content": "Clearly communicate the dependency to the user and provide explicit instructions on how to resolve it. Avoid infinite loops of requests for the same information without offering alternative solutions or fallback options.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "82ee0ec74b92496ea01efd2da9851838", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, and the access token must be included in every request.", "content": "API calls initially failed due to missing access tokens. By explicitly including the access token in each API call (e.g., `create_transaction_comment` and `like_transaction`), the requests succeeded. This highlights the importance of verifying authentication requirements for each API endpoint.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "13ab516cd08e4b519abe59d16d52eebd", "memory_type": "task", "when_to_use": "When filtering data based on relationships or specific criteria from multiple sources.", "content": "The phone app's `search_contacts` API was used to filter contacts by relationship ('roommate'). These emails were then cross-referenced with Venmo transaction sender emails to isolate relevant transactions. This demonstrates the effectiveness of combining data from different APIs to achieve precise filtering.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "afe36e3f66f248a9b6564e88a48c82a0", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve a complete dataset for analysis.", "content": "The agent successfully implemented a loop to iterate through paginated API responses using `page_index` and `page_limit`. By incrementing the page index until no more data was returned, it ensured that all available data (in this case, song recommendations) was retrieved. This approach is effective in scenarios where datasets are divided across multiple pages and ensures completeness of information for subsequent processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96decc600bb948a3a69890d9580cbb2d", "memory_type": "task", "when_to_use": "When handling API-based tasks requiring authentication, such as login or access tokens.", "content": "Always ensure that required variables like passwords and access tokens are retrieved and stored before making authenticated API calls. Missing these steps leads to runtime errors and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1f613481f4e7406d9225ee1f2e1bd40a", "memory_type": "task", "when_to_use": "When interacting with paginated APIs where data spans multiple pages.", "content": "Always ensure pagination handling is correctly implemented, verifying that all pages are retrieved before processing the data. Missing pages can lead to incomplete results and incorrect conclusions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "90625829d762437f9f3267d6656b12d7", "memory_type": "task", "when_to_use": "When interpreting ambiguous user queries such as 'most-played' or 'album library'.", "content": "Clarify assumptions about proxy metrics (e.g., frequency vs. play count) early in the process to align with user intent and available data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96cc01855efd4923b1785080a178e815", "memory_type": "task", "when_to_use": "When the task requires accessing specific data (e.g., artist recommendations) but the available APIs do not explicitly provide that data.", "content": "Always verify that the required data fields or endpoints exist in the API specifications before committing to a solution path. If critical data is missing, halt execution and communicate the limitation early.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f64c293d83fe4bacaac679a0c59ee5e0", "memory_type": "task", "when_to_use": "When designing multi-step workflows involving paginated API responses.", "content": "Ensure that all pages of paginated data are fully processed, and validate that the aggregated data contains all required fields for downstream tasks.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "5cadd3040a1342caae6e36441c831980", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to collect all available data for analysis.", "content": "The step pattern involved iterating through API pages using a `while` loop, checking for empty responses to terminate the loop, and aggregating results into a list. This ensured complete data retrieval without missing any entries, which is critical for accurate downstream analysis.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "16440dbfe8164e448eca74e13f1f3de7", "memory_type": "task", "when_to_use": "When analyzing frequency of specific attributes (e.g., artist names) within a dataset.", "content": "The step pattern used a `defaultdict` to count occurrences of each artist name extracted from song recommendations. By leveraging Python's `min()` function, the least frequent artist was identified efficiently. This approach ensures scalability and clarity in determining low-frequency elements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ee5ef25296c44aab90d350994c767f57", "memory_type": "task", "when_to_use": "When interpreting data fields in API responses, especially when mapping them to real-world entities like artists or users.", "content": "Do not assume that a field name (e.g., 'owner_email') directly corresponds to the desired entity without explicit confirmation from API documentation or schema details. Misinterpreting fields can lead to incorrect conclusions and outputs.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "03b2f4565d514f0f973864e62dea06a2", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication credentials, ensure the correct method names are used.", "content": "Always verify API method names by consulting the API documentation before making calls. Misnaming methods like using 'get_account_passwords' instead of 'show_account_passwords' can lead to execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ec1975100740488dbc32fb656f979aa5", "memory_type": "task", "when_to_use": "When aggregating data from multiple sources (e.g., playlists, albums, direct songs), ensure all relevant data sources are included in the process.", "content": "Failure to account for all potential data sources (such as neglecting album data when searching for the oldest song) can result in incomplete or incorrect results. Always map out all possible data streams before executing code.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e1864f22b2f1421997ba76b3405bb48e", "memory_type": "task", "when_to_use": "When comparing date-based values retrieved from APIs, confirm the format of the dates is consistent and comparable.", "content": "Assuming a specific date format without verifying it can lead to inaccurate comparisons. Ensure that release_date fields are in a standard format (e.g., YYYY-MM-DD) before performing operations like finding the minimum value.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8a1182c432ed4d45ae9e98266c6c97b9", "memory_type": "task", "when_to_use": "When interacting with APIs that return paginated results, especially for tasks requiring comprehensive data retrieval.", "content": "Always verify if the API response is paginated and implement logic to iterate through all pages to ensure complete data collection. Missing pagination can lead to incomplete or incorrect results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1cb2f84dd68644a8a9fbe2b9f553206a", "memory_type": "task", "when_to_use": "When comparing attributes like release dates across large datasets from multiple sources.", "content": "Standardize the extraction and comparison logic for attributes (e.g., release dates) to ensure consistency and avoid overlooking edge cases, such as missing or malformed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6a2d9ee8375b48c5885b822cb9e7f8fd", "memory_type": "task", "when_to_use": "When needing to retrieve and analyze data from multiple API endpoints to identify the oldest or earliest item based on a date field.", "content": "The step pattern involved sequentially retrieving songs, albums, and playlists using APIs, extracting release dates for songs, and sorting them to find the oldest. By focusing first on the song library (where individual song data is readily available), the agent avoided unnecessary complexity with albums and playlists. Sorting the list of songs by their release date ensured an accurate identification of the oldest song.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8aade665f3a5450eb06bae5c5f14ea23", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed correctly without prematurely breaking the loop.", "content": "Always verify that loops iterating through paginated data check for valid termination conditions and handle empty responses appropriately to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a983392500e34f17ae315459a96d803b", "memory_type": "task", "when_to_use": "When encountering API authentication errors despite multiple login attempts.", "content": "Always verify the existence of a login mechanism in the relevant app before attempting authentication. If login APIs are unavailable, reassess whether credentials can be bypassed or alternative methods exist to access required data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "fa5b76785401422698246c9471c2a7fd", "memory_type": "task", "when_to_use": "When iterating through APIs to locate specific functionality (e.g., Venmo payment requests).", "content": "Systematically review all available APIs using documentation tools (e.g., show_api_descriptions) to identify the correct method and parameters before executing code, minimizing wasted effort on incorrect assumptions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d36dd3452bfa4b3b9ad84bdbc131de1c", "memory_type": "task", "when_to_use": "When distinguishing between processed and unprocessed entities in a task involving multiple items.", "content": "Clearly log and report which entities were successfully processed and which ones were skipped due to insufficient data. This ensures transparency and facilitates follow-up actions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e2dc882cfd39408c9242f7672b018efa", "memory_type": "task", "when_to_use": "When encountering authentication failures due to missing credentials in multi-step workflows.", "content": "Always verify the availability of required credentials (e.g., passwords, tokens) before initiating a task. If credentials are unavailable, pause execution and explicitly request the missing information from the user or an alternative source.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dc98e1533ba47789b2ef70a16c5bfa2", "memory_type": "task", "when_to_use": "When interacting with APIs that do not explicitly provide a 'status' field in their response.", "content": "Always review API documentation to understand the structure of responses and infer statuses or states based on available fields, such as timestamps or flags, instead of assuming standard fields like 'status' exist.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "da07ce9be41c449dbe8a721025add3c0", "memory_type": "task", "when_to_use": "When an API call fails due to expired or missing tokens.", "content": "Re-authenticate to refresh tokens and validate their inclusion in subsequent requests, ensuring proper header or parameter usage as per API specifications.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd99d20734004a0680bc4256adb9f049", "memory_type": "task", "when_to_use": "When summing values from paginated or filtered API responses, such as transaction histories.", "content": "Paginate through all available data and validate filters (e.g., date ranges, user-specific queries) to ensure completeness and accuracy of aggregated results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ff2dbdff1de9475886d71ffafaa79990", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, and the initial login attempt fails.", "content": "Always verify whether the username format (e.g., email vs. phone number) aligns with the API's expected input. Misalignment in username format can lead to persistent authentication failures despite having the correct password.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f28886ed03c240ba8829af40bbc92935", "memory_type": "task", "when_to_use": "When handling incomplete data about user actions (e.g., who has already paid).", "content": "If the system lacks direct methods to confirm prior transactions or payments, cross-reference available data sources (e.g., Venmo transaction history, notes, or external records) before proceeding with irreversible actions like payment requests.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b5ca91a40c514aa0a04fbb0eca17303a", "memory_type": "task", "when_to_use": "When handling date-sensitive queries in API calls, especially when the current date is not provided.", "content": "Always verify and dynamically determine the relevant date range based on the current context or explicitly confirm assumptions about dates with the user to avoid incorrect filtering of data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6ddc2bdd41194904969b6d68a46bf75b", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, such as Venmo or Phone apps.", "content": "Always verify the validity of access tokens before making API calls. If an access token has expired, reauthenticate to obtain a new one before proceeding with subsequent steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "820e14efc58d4f72a048454102c4f0b2", "memory_type": "task", "when_to_use": "When filtering data from paginated API responses, such as transaction histories or contact lists.", "content": "Ensure proper handling of pagination by looping through all available pages until no further results are returned. Failure to do so can result in incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0b069a92d0cc4c2596aed607eb0b1aec", "memory_type": "task", "when_to_use": "When identifying specific entities (e.g., roommates) based on relationships or attributes in user data.", "content": "Cross-reference relationship labels (e.g., 'friend', 'roommate') and other contextual clues to accurately identify relevant entities. Misidentification can lead to incorrect filtering and skewed results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "691d997b173349c1bd0438fa8e22db25", "memory_type": "task", "when_to_use": "When encountering repeated `NameError` issues due to undefined variables during multi-step processes.", "content": "Ensure all required variables are explicitly defined in the current scope before they are referenced. Validate intermediate outputs at each step to maintain flow continuity.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d4259fde06f247bb9f903e72eeab0f68", "memory_type": "task", "when_to_use": "When handling API authentication or credential retrieval in a Python REPL environment.", "content": "Ensure that all top-level code statements are properly aligned without unintended indentation to avoid syntax errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7bbf913f24f1407392ba12e3bce532d0", "memory_type": "task", "when_to_use": "When processing paginated API responses, such as playlists or songs.", "content": "Always handle pagination explicitly by iterating through pages until no further results are returned to ensure completeness of data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd9979919ed04ef096834c0f397262ff", "memory_type": "task", "when_to_use": "When interacting with APIs that enforce unique constraints (e.g., one review per user per song), ensure proper checks before creating or updating data.", "content": "Always verify ownership and existence of related records (e.g., reviews) before attempting to create new ones to avoid conflicts like duplicate entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4710adaed705414ba9f4f1069ce2caf9", "memory_type": "task", "when_to_use": "When encountering an error due to unavailable functionality in an API.", "content": "If a critical API feature is missing, acknowledge the limitation early and adjust the task scope or requirements to align with available capabilities.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b01253eabb884fac9e348918a307051b", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed without prematurely breaking the loop.", "content": "Always verify the termination condition for loops that handle paginated data to avoid missing records from subsequent pages.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1a9ce11b6133414eb716ae1cbf099849", "memory_type": "task", "when_to_use": "When extracting specific fields (e.g., passwords or tokens) from API responses, ensure proper syntax and indentation in code.", "content": "Syntax errors due to unexpected indentation can disrupt task execution; validate code formatting during development.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "094b78e4236d4174a22261842b724826", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite multiple username/password attempts.", "content": "Always verify the exact authentication requirements (e.g., username format, password validity) by consulting API documentation or system guidelines before concluding that credentials are incorrect.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d7448a5889654e02996b1d52fb9454ba", "memory_type": "task", "when_to_use": "When working with file paths in APIs that expect specific formats (e.g., relative vs. absolute paths).", "content": "Ensure file paths are formatted correctly according to the API's requirements. Misaligned path formats can result in validation errors or failed requests.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "646b19759ef147ed89f5f65aee7914e1", "memory_type": "task", "when_to_use": "When parsing semi-structured data like text files with varying formats for key information (e.g., costs).", "content": "Use flexible pattern-matching techniques (e.g., regex) and implement fallback logic to handle cases where the primary pattern does not match. This ensures robustness against unexpected data formats.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "17b1d595fa3543708f4675d41b92ceb2", "memory_type": "task", "when_to_use": "When needing to extract and aggregate specific data from multiple files in a directory.", "content": "The step pattern involved listing all relevant files, filtering them by criteria (e.g., year and file type), reading their contents using an API, and extracting key information (e.g., 'Total Amount') via parsing. Using regex or specific string matching ensured accurate extraction of monetary values, even if formatting varied slightly across files. Summing these values provided the desired total. This approach is effective for batch processing structured text files with consistent patterns.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "27846ebab5994633bf9f75cef16e3dd0", "memory_type": "task", "when_to_use": "When encountering API errors due to incorrect parameter names or response structures.", "content": "Upon receiving an error related to missing parameters or unexpected data types, inspecting the raw API response helped identify the correct structure (e.g., locating the 'content' field within a dictionary). Adjusting subsequent calls based on this insight resolved the issue. This iterative debugging technique ensures robust interactions with APIs whose documentation may not fully describe edge cases.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "41b874114bb04241a345d3cdb1f8cbf3", "memory_type": "task", "when_to_use": "When encountering repeated authentication failures despite using expected credentials.", "content": "Verify the validity of credentials early in the process and confirm the authentication mechanism (e.g., token-based, username/password). If credentials are outdated or invalid, request updated information before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "97eb544e9dc34a01b85643253ad83b07", "memory_type": "task", "when_to_use": "When parsing text files for specific information, such as costs, and the expected keywords or formats are not found.", "content": "Expand keyword searches and handle variations in data formatting (e.g., currency symbols, multi-word labels) to ensure robust extraction of target information.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d6ca6f602084470f8d2f2b35900dc520", "memory_type": "task", "when_to_use": "When API documentation indicates required parameters but the values provided fail validation.", "content": "Cross-check parameter assumptions (e.g., username format, password sources) against explicit API specifications and seek clarification on ambiguous fields like 'username' or 'password'. Misinterpretation of required inputs can lead to repeated failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e8df63d9651546709bbae9991fe2a345", "memory_type": "task", "when_to_use": "When performing multi-step operations like file organization, ensure intermediate steps (e.g., directory creation) are completed successfully before proceeding.", "content": "Failure to create necessary directories or validate their existence can cause subsequent operations (e.g., moving files) to fail. Always implement checks to confirm the success of prerequisite steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1fbf1b2302634d778295158072e17044", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite using available credentials.", "content": "Verify whether the API requires an OAuth token or another form of authentication beyond a simple password. If no method exists to retrieve such tokens, escalate the issue as unresolvable with current tools.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f093dc951be44c4eafafb21cc1b3d536", "memory_type": "task", "when_to_use": "When handling paginated API responses to ensure all data is processed.", "content": "Always verify that pagination logic (e.g., incrementing page_index) correctly handles edge cases, such as empty pages or APIs with inconsistent page limits.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "855a3853adf842098163073be459b591", "memory_type": "task", "when_to_use": "When automating irreversible actions like deletions in a user's account.", "content": "Implement safeguards, such as dry-run testing or confirmation steps, before executing irreversible operations to prevent unintended data loss.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "02a4b53417ee405fb9f8f22d79ac19ec", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving authentication and data retrieval, ensure all required variables (e.g., access tokens) are defined before proceeding.", "content": "Always verify that critical variables like access tokens are initialized and available before executing dependent API calls. Missing or undefined variables can cause runtime errors and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e1cd5b52c88141eb84ece2120d6708de", "memory_type": "task", "when_to_use": "When iterating through paginated API responses, ensure the loop termination condition is robust and accounts for empty results.", "content": "Paginated APIs may return empty pages unexpectedly. Always check for null or empty responses to avoid infinite loops or missed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b8be504859934d5ca96ec37d8ab80666", "memory_type": "task", "when_to_use": "When updating ratings or making irreversible changes, confirm the correctness of the logic by testing on a small subset of data first.", "content": "Irreversible actions like updating ratings should be carefully validated to prevent unintended modifications. Testing on a smaller dataset helps identify logical flaws early.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7847f52267fb47aeb5665b87e020b328", "memory_type": "task", "when_to_use": "When interacting with APIs that require pagination, such as fetching playlists or large datasets.", "content": "Always implement pagination handling to ensure all data is retrieved. Missing pagination logic can lead to incomplete data processing and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c94d298d022447b7ae90dd828c5e0638", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving paginated data retrieval and filtering.", "content": "Always verify the completeness of paginated data by iterating until no new results are returned, and ensure deduplication logic is applied before further processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8c7735e4db214750aa02486956e3ff5f", "memory_type": "task", "when_to_use": "When an API call fails due to a missing or incorrect method.", "content": "Before executing critical code, always review the API documentation to confirm method availability and required parameters.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4fd5456435e041f6b1cfb6f69d0bd90a", "memory_type": "task", "when_to_use": "When automating irreversible actions like deletions in a system.", "content": "Implement safeguards such as dry runs or confirmation prompts before executing deletion commands to prevent unintended data loss.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "19400d727919419f8c1786f9cca062b5", "memory_type": "task", "when_to_use": "When a task involves multiple domains (e.g., song library and playlists) with potential overlap in data sources.", "content": "Clarify whether actions in one domain (e.g., song library) automatically propagate to related domains (e.g., playlists). If unsure, explicitly verify and handle each domain to avoid incomplete task execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dd93ee8aa9343eca514595e1af832a6", "memory_type": "task", "when_to_use": "When the task involves parsing structured data (e.g., notes, documents) to extract specific information like durations or playlist names.", "content": "Always validate the structure and content of parsed data before proceeding with calculations or decisions. Missing or misaligned fields can lead to incorrect assumptions and downstream errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "126b09f0cf6949039b1fa928364b0b88", "memory_type": "task", "when_to_use": "When encountering authentication failures due to invalid credentials or missing tokens.", "content": "Always verify that required authentication details, such as SMS codes or access tokens, are correctly retrieved and used. Placeholder values will lead to persistent failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0ec7a8eabe44ac99fbd15b1fa076467", "memory_type": "task", "when_to_use": "When the task involves interacting with APIs to perform an action, but the required functionality is not explicitly provided by the available APIs.", "content": "Always verify that the APIs available provide all necessary functions to complete the task. If critical functionality (e.g., playback initiation) is missing, flag it early in the process and communicate limitations to the user or request clarification on how to proceed.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f6d7f215bd1e47dea3bb32898e8b66f2", "memory_type": "task", "when_to_use": "When attempting to log in to an app and the password isn't explicitly provided or stored in available resources.", "content": "Always verify if credentials for the required service are available before proceeding. If not, halt execution and request missing information rather than making assumptions or proceeding with incomplete data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c2f4d3626ed14cf38745689087977950", "memory_type": "task", "when_to_use": "When managing paginated API responses to ensure complete data retrieval.", "content": "The higher-scoring approach implemented a robust pagination strategy by iterating through pages until no further data was returned, ensuring all playlists were accounted for. In contrast, the lower-scoring approach used a fixed loop limit (page_index < 10), which risks incomplete data retrieval if the total pages exceed the limit.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b33ede58d6cc41a7949e333c74b985a2", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving paginated API data retrieval.", "content": "Always verify that all pages of paginated data are fully processed before proceeding to the next step. Missing pages can lead to incomplete data handling and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "48b36dfc9c6a4a7f856192c94f3b4f44", "memory_type": "task", "when_to_use": "When relying on external APIs for authentication and credential management.", "content": "Ensure secure handling of credentials by using dedicated tools (e.g., supervisor app) and avoid hardcoding sensitive information like passwords or tokens in scripts.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2a4938c47c7f43dfa123e412bdd35048", "memory_type": "task", "when_to_use": "When determining the status of an entity (e.g., whether an album is fully downloaded) based on related entities (e.g., songs in the album).", "content": "Prefer using dedicated APIs (e.g., `show_downloaded_songs`) for accurate status checks over relying solely on metadata fields (e.g., `song['downloaded']`). This ensures decisions are based on authoritative data sources.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9f5ab74f1f8d4fd48c4179830afb6d5d", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed correctly.", "content": "Always implement a robust pagination mechanism that accounts for empty results or unexpected API behavior to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6fb1be6b209c41718a518caf95248d03", "memory_type": "task", "when_to_use": "When filtering items based on multiple criteria (e.g., liked or downloaded), validate the logic thoroughly.", "content": "Double-check filtering conditions, especially when combining multiple criteria, to ensure no valid items are mistakenly removed.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7b4d41ef41b347c78b0b65c4dc965199", "memory_type": "task", "when_to_use": "When writing code with multiple indented blocks, ensure consistent indentation to avoid syntax errors.", "content": "Maintain consistent indentation levels across all lines of code to prevent unexpected syntax errors during execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e04babd45b06462f8b2d988ec6cf57b3", "memory_type": "task", "when_to_use": "When cleaning up a user's library by filtering items based on multiple criteria (e.g., liked and downloaded status).", "content": "The agent successfully handled the task by first fetching all relevant data (liked songs, liked albums, downloaded songs, song library, and album library) using paginated API calls. It then used set-based lookups to efficiently filter items meeting the criteria and removed non-compliant items in a systematic manner. This approach ensures scalability and minimizes errors by breaking the task into smaller, verifiable steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "041c11ed67d4449c90877dc4cd9e2e5f", "memory_type": "task", "when_to_use": "When interacting with APIs for authentication or sensitive operations, ensure credentials are retrieved securely and errors are handled gracefully.", "content": "Always include fallback mechanisms for credential retrieval and error handling during login to prevent task failure due to missing or incorrect credentials.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d3a37ea214b74d09bb0f22fa9e5dfd1c", "memory_type": "task", "when_to_use": "When interacting with APIs that require specific parameter names and the initial attempt fails due to missing or incorrect parameters.", "content": "The agent identified a 422 validation error caused by using an incorrect parameter name (`path`) in API calls. By reviewing the error message and aligning the parameter name (`directory_path`) with the API's expected input, the issue was resolved. This highlights the importance of verifying API specifications and adjusting parameter names accordingly.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "587d3d1091a344ea93e46a16dfc4fae5", "memory_type": "task", "when_to_use": "When performing multi-step operations involving file creation, movement, and deletion.", "content": "Ensure intermediate outputs (e.g., ZIP files) are created in the expected locations by validating paths at each step before proceeding to the next operation.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "afbd3ea88776473a8adc55ff42c2f5a6", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure all calls include necessary tokens or credentials.", "content": "Always verify API documentation for required parameters like access tokens and include them in every call to prevent unauthorized errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "5913b1a45be646f0b0949a7e9f7e68fb", "memory_type": "task", "when_to_use": "Before deleting original files or directories after operations like compression, ensure the new files are successfully created and verified.", "content": "Implement a verification step to confirm the existence and integrity of newly created files before performing irreversible actions like deletion.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73077eb6679e4982878f4a666b48a91a", "memory_type": "task", "when_to_use": "When working with directory structures returned by APIs, especially when paths are absolute and need parsing.", "content": "Extract relevant components (e.g., vacation spot names) from absolute paths carefully using consistent methods like splitting strings. Validate the extracted names to avoid incorrect file or directory handling.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1b567e8ecf6f4a6f949261204805e6f1", "memory_type": "task", "when_to_use": "When the user repeatedly sends the same message or action, indicating a possible loop or misunderstanding.", "content": "Detect repetitive user inputs early and confirm task completion to avoid unnecessary cycles. Offer clear closure and invite further questions to ensure the interaction ends effectively.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "212673da0b4346369449fa5d0c64d2df", "memory_type": "task", "when_to_use": "When confirming the completion of a multi-step task involving APIs with potential ambiguities (e.g., playlist identification, pagination).", "content": "Always verify intermediate outputs (e.g., playlist existence, song IDs) to prevent downstream errors. Implement fallback logic for cases where expected data (e.g., 'Liked Songs') is missing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f3374778ae04484881e9741e7802d53d", "memory_type": "task", "when_to_use": "When designing loops for paginated API responses or iterating over large datasets.", "content": "Explicitly handle pagination limits and edge cases (e.g., empty pages, missing keys) to ensure all relevant data is processed without omission or duplication.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ddda3e100ba743988e9093eacaec4675", "memory_type": "task", "when_to_use": "When updating or modifying data through an API, confirm the changes were applied successfully by re-fetching or logging the updated state.", "content": "After performing write operations (e.g., updating ratings), validate the outcome to ensure the intended changes occurred. Silent failures may go unnoticed otherwise.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ab63d92d3157482c8819f09899c967d6", "memory_type": "task", "when_to_use": "When needing to process multiple sub-directories in a file system, compress them into ZIP files, and clean up the original directories.", "content": "The agent successfully identified all vacation sub-directories within a target directory, compressed each into a uniquely named ZIP file using the directory name, and deleted the original directories. This step pattern worked because it systematically verified the existence of the target directory, listed contents recursively where needed, and executed compression and deletion operations in sequence for each item.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dc53f7be7a741f281a4f10ae789ffde", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite using available credentials.", "content": "Always verify that the provided credentials (e.g., username, password, or token) match the expected format and source. Placeholder or dummy credentials may not work in real or test environments.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "cc4fafcc78d943c68a57d584469dcf25", "memory_type": "task", "when_to_use": "When the task requires accessing specific data (e.g., recommendations, genres, or release years) that may not be directly supported by available APIs.", "content": "Always verify whether the required functionality exists in the available APIs before starting execution. Missing API capabilities can lead to task failure, and early detection helps avoid wasted effort.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "406644afd66845338321229fc3ef886c", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Spotify or similar services.", "content": "Always validate credentials (e.g., passwords, tokens) before proceeding with API calls. Ensure the correct extraction and usage of sensitive data like access tokens to avoid runtime errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "94808586334b4d9c9b016a4f58817291", "memory_type": "task", "when_to_use": "When checking for the existence of an entity (e.g., playlist, file) before creating it to avoid duplication errors.", "content": "Always perform robust matching (case-insensitive, space-agnostic) when comparing names or titles to prevent false negatives in existence checks.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4931b86aa6074bc1851a5b8c6d55b205", "memory_type": "task", "when_to_use": "When iterating through paginated API responses to collect all relevant data.", "content": "The higher-scoring approach included a well-structured pagination loop with clear termination conditions, ensuring all pages of data were processed without missing items or causing infinite loops. The lower-scoring approach lacked clarity in pagination logic, risking incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd2a0333a49540cab52b911c525e232e", "memory_type": "task", "when_to_use": "When interacting with APIs that require specific permissions or tokens for certain actions.", "content": "Always verify the availability and scope of required APIs before attempting operations like creating resources or modifying data. Simulate missing functionalities when direct execution isn't possible.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3abbb900b43d481e93870862a0e22817", "memory_type": "task", "when_to_use": "When interacting with APIs that may not provide critical metadata (e.g., file creation dates) needed for categorization or decision-making.", "content": "Always verify API capabilities beforehand to ensure the required data is available. If key metadata is missing, document the limitation and implement a fallback strategy that aligns with the task's intent.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "889bed1e2c704d9d9903f6a492701cc2", "memory_type": "task", "when_to_use": "When finalizing tasks with unresolved ambiguities or incomplete steps due to external constraints.", "content": "Clearly communicate limitations and assumptions in the final output to set expectations and allow for future refinement when additional data becomes available.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "acf01062e96b4e94a9fd614f5a23eadc", "memory_type": "task", "when_to_use": "When attempting to interact with an API that involves actions not directly related to standard CRUD operations (e.g., liking songs, accessing playback queues).", "content": "Before initiating task execution, always confirm the availability of APIs for all required functionalities by reviewing API documentation thoroughly. Missing functionality in the toolset should be flagged early to avoid wasting resources.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ca833759e33e4a2aa5ed36139f058dac", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens, ensure the token is properly defined and accessible in subsequent steps.", "content": "Always verify that variables like access tokens are correctly initialized and available before using them in API calls. Missing or undefined variables can lead to execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "09b78b6053704b04a79c3613b4b95669", "memory_type": "task", "when_to_use": "When handling paginated or queued data, ensure proper extraction and iteration over all items to avoid missing elements.", "content": "Failure to correctly extract or iterate through paginated or queued data can result in incomplete task execution. Validate data structures and test extraction logic incrementally.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "91b87962eea94f7e8f6066c4ace22bed", "memory_type": "task", "when_to_use": "When interacting with APIs that modify user data, such as liking songs or updating playlists.", "content": "Always verify API specifications (using `show_api_doc`) before making calls to ensure correct parameters and avoid silent failures or incorrect actions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "95b169556a204dd3aca70d8f8ff8b7be", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure credentials are correctly retrieved and passed.", "content": "Always verify the structure of API responses for credential retrieval to avoid errors in subsequent steps. For example, confirm the account name matches before extracting passwords.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "323f6d733dbf40dcb90ca6f6a796b49b", "memory_type": "task", "when_to_use": "When iterating over paginated or queued data, ensure all items are processed without prematurely ending the loop.", "content": "Double-check conditions in loops (e.g., `while` or `for`) to ensure they account for edge cases like empty queues or missing data fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "dc9b2bb4278f4470968e8afa2487488f", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure the correct access tokens and permissions are validated before proceeding.", "content": "Authorization errors often arise from mismatched or expired tokens. Always confirm that the retrieved token matches the required scope and is passed correctly in headers or parameters.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e4264083575242248b4eaf54aae08190", "memory_type": "task", "when_to_use": "When a task involves reversing an action (e.g., refunding payments), prioritize identifying all necessary steps and fallback options if the primary method fails.", "content": "Failure to reverse actions due to API limitations or authorization issues highlights the importance of having alternative strategies, such as contacting the recipient or escalating to human intervention.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "acb81420fdd24b71b83259f8bcd6aea5", "memory_type": "task", "when_to_use": "When needing to interact with an API to retrieve or manipulate user-specific data (e.g., payment requests, transactions).", "content": "The agent successfully retrieved the list of sent payment requests using `show_sent_payment_requests` and identified the most recent one by evaluating the details. It then attempted to refund via `update_payment_request`, but when that failed due to the request being already completed, it switched to creating a new transaction using `create_transaction`. This highlights the importance of fallback strategies when primary methods fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9458275ae4924e268e7491568ca3af24", "memory_type": "task", "when_to_use": "When interacting with APIs that involve state changes (e.g., approve, deny, delete), ensure the current state allows for the intended action.", "content": "Before attempting an API call to modify or reverse a transaction, verify the state of the object (e.g., approved, denied, pending) and consult the API documentation to confirm whether the operation is permissible in that state.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ff28043899d84bb3b431ab98c000b9d1", "memory_type": "task", "when_to_use": "When encountering authentication errors while accessing an app's API, and the required credentials are not explicitly provided.", "content": "Always verify if all necessary credentials (e.g., username, password) for an app's API are available before attempting login. Missing credentials will lead to failed authentication, halting progress.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "084dda680704429c85773ce929998d4e", "memory_type": "task", "when_to_use": "When working with date-sensitive tasks, ensure proper parsing and comparison of date formats to avoid filtering errors.", "content": "Mismatched or improperly parsed date formats can lead to incorrect filtering of data, resulting in missed or unintended actions. Always validate date parsing and comparison logic during implementation.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a93dc38e74ee4e59822f518e07fc1757", "memory_type": "task", "when_to_use": "When deleting paginated items (e.g., messages, files) from an API.", "content": "The step pattern involved looping through all pages of results using a `page_index` until no more results were returned. Each item found was processed and deleted individually. This ensures that all relevant items are handled systematically without missing any due to pagination limits.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "98bf044caa3744cc854d9acb1d97ea0a", "memory_type": "task", "when_to_use": "When needing to authenticate with an API before performing actions.", "content": "The agent retrieved the supervisor's credentials using the `supervisor` app's `show_account_passwords` API, then authenticated with the target app (phone) by calling its `login` API. This ensured secure access to the necessary APIs for completing the task.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3179b2485071485db91408b80585a791", "memory_type": "task", "when_to_use": "When deleting multiple items (e.g., messages, files) from an API that uses pagination.", "content": "The step pattern involved searching for all relevant items across multiple pages using a while loop with a page_index. Each item was then iteratively deleted using its unique identifier. This ensured no items were missed due to pagination limits and allowed for scalable handling of large datasets.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e450ac0891454171ac624357d96f81fe", "memory_type": "task", "when_to_use": "When API authentication requires both username and password, and the credentials are stored in a secure app like 'supervisor'.", "content": "The agent successfully retrieved account credentials using the supervisor app and handled an initial login failure by identifying the missing username parameter. By explicitly specifying both username and password, the login succeeded, demonstrating robust error recovery and adherence to API requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ce2db1b746614fc8b3072d8e517815b0", "memory_type": "task", "when_to_use": "When debugging failed executions with unclear error messages.", "content": "Break down complex operations into smaller, testable chunks to isolate and identify the root cause of failures early in the process.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "232ccba6fc834c209dd29a7c2163f1a8", "memory_type": "task", "when_to_use": "When interacting with paginated APIs where the total number of results may exceed the maximum page limit per request.", "content": "The agent successfully handled pagination by looping through pages using a `while` loop, incrementing the `page_index` until no more results were returned. This ensured all items (e.g., text and voice messages) were retrieved and processed. The use of the maximum allowed `page_limit` (20 in this case) optimized the number of API calls while remaining compliant with API constraints.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a580a9e1c2d74daa9f7fca2c1a3f6e67", "memory_type": "task", "when_to_use": "When an API requires authentication via login credentials, but initial attempts fail due to incorrect parameters.", "content": "Upon encountering a 401 Unauthorized error during login, the agent reviewed the API documentation to validate the expected format for the `username` parameter. By confirming that the phone number, not the email, was required, the agent corrected the login call and successfully authenticated. This highlights the importance of consulting API specifications when errors occur.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "decd0106bc744bc7a818af4f74b2e66b", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve comprehensive datasets for filtering or processing.", "content": "The agent successfully retrieved all classical artists by iterating through paginated results using a while loop. This ensured no data was missed and allowed for subsequent filtering based on follower count. Handling pagination explicitly prevents incomplete data retrieval, which is critical for accurate downstream decisions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0fb12e28f4fa4d85bebf71a7544ac245", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve and process large datasets.", "content": "The agent successfully retrieved all reggae artists by iterating through paginated API responses. It initialized a `page_index` variable, called the API in a loop, and incremented the index until no more results were returned. This ensured complete data retrieval without missing any entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ec7b57d346c640378cfb23023946474b", "memory_type": "task", "when_to_use": "When making authenticated API calls requiring access tokens.", "content": "Explicitly include and validate the access token in every API call to prevent unauthorized access errors, even if the token was validated earlier in the process.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "33bfe383ff9f4a3d8283330338840c6d", "memory_type": "task", "when_to_use": "When completing tasks involving multiple steps or external systems.", "content": "Implement intermediate checks or logging to confirm successful execution of critical steps, such as verifying follow actions or tracking counts of processed items.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3475476713f9406092d4ff4f9a3d46c0", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve a complete dataset across multiple pages.", "content": "The step pattern involved iterating through API pages using a while loop, incrementing the page index until no more results were returned. This ensured all available data (e.g., EDM artists) was retrieved without missing entries due to pagination limits. The use of a break condition when the result set was empty ensured efficiency and prevented unnecessary API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0570a4fb893a46dea26f7e0e9ad60d3b", "memory_type": "task", "when_to_use": "When accessing APIs that require authentication, ensure the necessary credentials are available beforehand.", "content": "Always verify that all required credentials (e.g., passwords, tokens) for an API are accessible via the available tools before attempting authentication. Missing credentials can lead to task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "72494a822cc041d49cd80968141877bd", "memory_type": "task", "when_to_use": "When parsing structured data (e.g., contacts, receipts) from files to extract specific information.", "content": "Ensure the parsing logic aligns with the actual file format and includes error handling for unexpected structures or missing fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a6baf12465d94e28bfc7347182db2a29", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite trying multiple credentials or tokens.", "content": "Verify whether the required authentication method (e.g., token, password, or OAuth) is explicitly documented and supported by the API. If the correct method is unavailable, the task may be unfeasible with the current toolset.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "45f6e515737f40258329535d7f5d26a2", "memory_type": "task", "when_to_use": "When iterating through paginated API responses to retrieve complete datasets.", "content": "The higher-scoring approach implemented a robust loop to handle paginated data, ensuring all pages were processed without missing information. This attention to detail in pagination logic (e.g., incrementing `page_index` until no more results were returned) ensured comprehensive data retrieval, which is critical for tasks like counting playlists or identifying contacts.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6e23116fe6f34204bca0642d6c0105cc", "memory_type": "task", "when_to_use": "When encountering a 401 unauthorized error while trying to access APIs that require authentication.", "content": "Always verify the availability of an access token or login mechanism before attempting to use APIs. If no explicit login method exists, check whether credentials (e.g., passwords) from related services can act as substitutes for tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "94fbf3b21b7d457288e695d45d57889e", "memory_type": "task", "when_to_use": "When attempting to authenticate with an app and credentials are unavailable or unknown.", "content": "Always verify the availability of required credentials (e.g., passwords, access tokens) before initiating a task. If credentials are missing, use available tools (e.g., password reset APIs) to retrieve or reset them before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1f5a08d055d74387ab8d4fbc349f49ec", "memory_type": "task", "when_to_use": "When updating or modifying data through an API, confirm that the target item (e.g., note, playlist) matches the intended task description.", "content": "Ensure the exact item being modified aligns with the user’s intent. Here, the note title did not explicitly mention 'Learning to cook a signature dish from scratch,' yet it was assumed to be the correct note based on partial matching.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1d806eb7d6454a0a9a239cecf5ec0206", "memory_type": "task", "when_to_use": "When encountering repeated or empty inputs after task completion.", "content": "After marking a task as complete, confirm the outcome explicitly and invite new tasks to avoid confusion or unintended loops caused by repetitive user inputs.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b677de0263384266b3db0c2d8b17b9ab", "memory_type": "task", "when_to_use": "When an API call fails due to unauthorized access or missing credentials.", "content": "Always authenticate with the required app before making API calls that depend on authorized sessions. Check API specifications for required parameters like access tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "117eda9ae3bd4532bc7ed083e8f17560", "memory_type": "task", "when_to_use": "When interacting with APIs that enforce idempotency (e.g., liking a transaction only once)", "content": "Always implement error handling to gracefully manage duplicate actions or unprocessable requests, ensuring the script can continue without crashing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "33ff62be259245a7aa9d894498ff6b59", "memory_type": "task", "when_to_use": "When interacting with an API that requires authentication and the credentials are not initially available.", "content": "Retrieve account credentials (e.g., username, password) from a secure source like the supervisor app, then authenticate using those credentials to obtain an access token. This ensures proper authorization for subsequent API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b54351ec579e4167bc8849080e1b4f43", "memory_type": "task", "when_to_use": "When searching for a specific item within a collection returned by an API.", "content": "Use filtering techniques (e.g., list comprehensions) to extract relevant data from API responses. For example, after retrieving a list of notes, filter by title or content to locate the target item efficiently.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "02ba2091c54a485da1073bddc3df5a22", "memory_type": "task", "when_to_use": "When updating content in a structured format retrieved via an API.", "content": "Fetch the current content, modify it programmatically (e.g., replacing specific text), and send the updated content back using the appropriate API endpoint. This ensures minimal disruption to existing data while achieving the desired change.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1519a0671b59407fad072198ed9080ac", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite repeated attempts.", "content": "Always verify the accuracy of critical inputs like phone numbers and codes by cross-referencing with the registered account details or resending verification codes. Ensure placeholders in code are replaced with actual values before execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "16d25ae5567444cfb757403c47658dae", "memory_type": "task", "when_to_use": "When interacting with an API that requires authentication and the agent encounters a 401 error.", "content": "Upon encountering a 401 error, the agent successfully retrieved account credentials using the supervisor app's `show_account_passwords` API, logged into the target app to obtain an access token, and used the token for subsequent authenticated API calls. This ensures proper authorization and avoids unauthorized access errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7c373e40826e4805b4faeb2212ec8715", "memory_type": "task", "when_to_use": "When updating specific content within a structured note or document via an API.", "content": "The agent retrieved the full content of the target note using the `show_note` API, identified the specific text requiring modification, updated it programmatically, and saved the changes using the `update_note` API. This approach ensures precision in modifying only the intended portion of the content while preserving the rest of the document.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7972197924ec4322a6d25051833cff13", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, ensure valid credentials and tokens are retrieved before proceeding.", "content": "Always verify that login steps are successful and access tokens are correctly stored in variables before making subsequent API calls. Skipping or mishandling this can lead to unauthorized errors (e.g., 401).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "439a21bf0c2d43c1b0aade43062a10c3", "memory_type": "task", "when_to_use": "When managing multiple related tasks (e.g., alarms), ensure proper filtering and handling of each task item.", "content": "Before modifying or deleting items in a list (e.g., alarms), confirm the correct identification of target items using unique attributes like names or IDs. Missing this step can result in unintended actions on wrong items.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8efe99804f474f6baf93b1519d531b37", "memory_type": "task", "when_to_use": "When parsing and manipulating time data in Python scripts.", "content": "Ensure all necessary modules (e.g., datetime) are imported before using their methods. Forgetting to import a module like datetime can lead to AttributeError during execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d499c760361b453a90f95615a6e28f4d", "memory_type": "task", "when_to_use": "When an API requires authentication and credentials are not readily available.", "content": "Always verify that all required credentials (e.g., username, password) for an app or service are accessible before attempting to use its APIs. Missing credentials block progress and cannot be bypassed autonomously.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1826aeb82e6048afb9077e76603f1f31", "memory_type": "task", "when_to_use": "When managing paginated or list-based data (e.g., alarms, playlists).", "content": "Before modifying data retrieved from APIs, ensure all relevant entries are correctly identified and filtered. Use descriptive keys (e.g., alarm name) to locate specific items in a dataset.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "304224db0bdc4b76b6742ae225ce1529", "memory_type": "task", "when_to_use": "When handling time adjustments in tasks involving date/time manipulation.", "content": "Use reliable methods to manipulate time (e.g., datetime libraries) and ensure the output format matches the API's expected input format for time fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b3a91996f5354043a72c6af9bc498285", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve all available data (e.g., playlists, songs).", "content": "The agent successfully implemented a pagination loop to fetch all pages of data by incrementing the `page_index` until no more results were returned. This ensures complete data retrieval without arbitrary limits and avoids missing any entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "30db556be9504158b707193233dcf123", "memory_type": "task", "when_to_use": "When debugging syntax errors during multi-step coding sequences, especially when loops or control structures are involved.", "content": "Syntax errors (e.g., missing colons in Python loops) should be caught early by testing small chunks of code incrementally. Always validate each step's correctness before proceeding to avoid cascading failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b1e8f09e471d4db98ce78704e65da01b", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens or credentials.", "content": "Always ensure that necessary variables like passwords or access tokens are retrieved and defined before using them in subsequent steps. Missing this can lead to NameErrors and disrupt task execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e4a6a2a4747940e799301eaf7e7c4dab", "memory_type": "task", "when_to_use": "When processing nested API calls to extract detailed information from related entities (e.g., playlists and songs).", "content": "Verify the structure of API responses at each level to ensure all required fields (e.g., durations) are present. Assuming fields exist without confirmation can lead to missing data or incorrect calculations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7bf35224fd33435fabbd6a6ed64f1137", "memory_type": "task", "when_to_use": "When needing to retrieve paginated data from an API and process each item in the retrieved dataset.", "content": "The agent successfully employed a while loop to handle paginated data retrieval using a 'page_index' parameter. By incrementing the page index until no more data was returned, the agent ensured all available data was collected. This approach is robust for APIs that return data in chunks and require pagination handling.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96234d28dd694914a043dc2787354812", "memory_type": "task", "when_to_use": "When final output requires conversion or rounding of numerical results before task completion.", "content": "After calculating the maximum playlist duration in seconds, the agent converted the result into minutes and rounded it to the nearest integer before completing the task. This ensured the answer matched the required format and precision, demonstrating attention to detail in fulfilling task requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ecb34d8ac79540cda30ab36303388c10", "memory_type": "task", "when_to_use": "When needing to identify and interact with a specific item (e.g., playlist, song) in an API-driven system.", "content": "The sequence of first searching for the correct item using unique identifiers (e.g., owner email or name) ensures precision when multiple similar items exist. This avoids ambiguity and ensures the right resource is selected for subsequent actions. For example, filtering playlists by owner email ('susanmiller@gmail.com') helped isolate the correct playlist owned by the user.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "50abd530131a4a9d8b3a66c164f722a1", "memory_type": "task", "when_to_use": "When encountering KeyError or missing fields during data processing.", "content": "Validate API response schemas before accessing nested fields. Handle missing fields gracefully to prevent execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c544a66f3aed46018a4361643868b028", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Venmo or Spotify.", "content": "Always validate and ensure that sensitive credentials like passwords or access tokens are correctly retrieved and used in subsequent steps. Missing or incorrect credentials can lead to failed API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ccf56c3987ec409099cf325b5b7e373f", "memory_type": "task", "when_to_use": "When filtering data based on specific criteria, such as transactions involving coworkers.", "content": "Ensure that all necessary data fields (e.g., participant names, tags) are available and correctly parsed before applying filters. Missing fields can result in incomplete or incorrect operations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "35b9faf9e2ea4ef79f217a644dcfd5b7", "memory_type": "task", "when_to_use": "When designing multi-step processes involving paginated API responses.", "content": "Ensure pagination logic is robust by checking for empty results and incrementally fetching all pages until no more data is returned.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73c399464408442e994b189f01ff2c86", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Spotify's login API.", "content": "Always retrieve and verify credentials (e.g., username, password, or access tokens) before making authenticated API calls. Missing or incorrect credentials can lead to failed executions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9a3fdb07658d440c8edb1fbcc2520f7f", "memory_type": "task", "when_to_use": "When filtering or analyzing datasets, such as identifying the most listened-to song.", "content": "Validate the structure and content of the dataset before applying filters or transformations. Incomplete or unexpected data formats can lead to runtime errors or incorrect results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "37a9f21ada61460e8c5adffdcd65e79b", "memory_type": "task", "when_to_use": "When interacting with APIs that return paginated results, such as fetching payment requests or playlists.", "content": "Always validate the structure of API responses and handle pagination explicitly by iterating through pages until no more data is returned. Missing pagination logic can lead to incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "46f1e44e981543b9924c6a3b9da277fa", "memory_type": "task", "when_to_use": "When encountering unexpected API outputs like 'OzVS[j5' instead of structured data.", "content": "Verify the environment's mock setup or API configuration to ensure it returns valid, expected responses. Unexpected outputs often indicate misconfigured mocks or incorrect assumptions about API behavior.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f6412c1d7d1845dd87569718552e2b8b", "memory_type": "task", "when_to_use": "When API exploration fails to reveal expected functionality (e.g., `show_contacts` in the phone app).", "content": "Thoroughly review all available APIs for alternative methods to achieve the goal. Missing an expected API may indicate the need to pivot strategies or seek clarification on task requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "85cb78b42ef740a688e366582e5b4d60", "memory_type": "task", "when_to_use": "When encountering KeyError or missing data during API interactions.", "content": "Before accessing nested dictionary keys, validate their existence using `.get()` or conditional checks to prevent runtime errors. Additionally, review API documentation to ensure correct key usage.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0d4fad88a7e499695415d15f4ab5851", "memory_type": "task", "when_to_use": "When processing paginated data from an API and performing actions on each item.", "content": "Ensure the pagination logic is robust and handles edge cases like empty responses gracefully. Additionally, validate that all items are processed before marking the task complete.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1e39a69a51b04420a93ef86cdc3ae4dd", "memory_type": "task", "when_to_use": "When determining relationships (e.g., friendship status) using indirect indicators in API responses.", "content": "Explicitly confirm the meaning of fields like 'friends_since' in API responses to avoid incorrect assumptions about relationships or statuses.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f63bd8947220463da35131014a3b68ac", "memory_type": "task", "when_to_use": "When interacting with APIs that involve paginated data retrieval, such as fetching lists of transactions or requests.", "content": "Always ensure that the pagination logic is correctly implemented to handle all pages. Missing a proper termination condition or failing to increment the page index can lead to incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c42aa179adbc4f568524d5e54edf61a9", "memory_type": "task", "when_to_use": "When completing tasks that require returning an answer or summary after execution.", "content": "Verify that the final output aligns with the expected result format and includes any necessary information (e.g., count of processed items). Double-check whether apis.supervisor.complete_task() needs an argument before calling it.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73264b8fe66d488a8afed2ae7add139f", "memory_type": "task", "when_to_use": "When automating actions on behalf of a user, such as approving payment requests or modifying account data.", "content": "Validate the scope and intent of automated actions to avoid unintended consequences. For example, ensure only relevant payment requests (e.g., from coworkers and friends) are processed, avoiding blanket approvals.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f528c7d915604ea481e2f139cc885f0f", "memory_type": "task", "when_to_use": "When searching for specific information (e.g., most played song) across multiple related entities (e.g., songs by an artist) using APIs.", "content": "The successful step pattern involved breaking the task into discrete logical phases: first, identifying the relevant API calls to gather data about the artist and their songs; second, using filtering logic to extract meaningful attributes (e.g., play count); and finally, implementing a comparison mechanism to determine the highest value. This iterative approach ensured accurate identification of the desired result (most played song).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4bde5271c1444ff0b84a636f39e7f981", "memory_type": "task", "when_to_use": "When handling paginated API responses or datasets that require iteration to ensure complete coverage.", "content": "The agent successfully navigated paginated results by incrementally querying pages until all relevant data was retrieved. This method ensures no critical information is missed and provides a reusable framework for tasks requiring exhaustive data collection.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0f51691fa0f484caef702260400534f", "memory_type": "task", "when_to_use": "When needing to identify and extract specific information from paginated API results based on a sorting criterion.", "content": "The agent successfully used the `search_songs` API with parameters such as `artist_id` and `sort_by` set to `-play_count` to retrieve songs sorted by least played. By iterating through paginated results, it ensured all relevant data was collected before determining the minimum play count. The approach of sorting at the API level minimized unnecessary post-processing and ensured efficiency.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "312cb9ae4c334152852e661868b94ffd", "memory_type": "task", "when_to_use": "When encountering a task that seems ambiguous or lacks sufficient information to proceed.", "content": "Explicitly state assumptions and limitations early in the process. If the task cannot be completed due to missing APIs or unclear requirements, communicate this clearly to the user and suggest hypothetical solutions or alternative approaches.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "20bc3ea2b4274552a1c056ca1fde1641", "memory_type": "task", "when_to_use": "When interacting with APIs that lack direct support for required data (e.g., play counts or artist names).", "content": "Always verify API response schemas before assuming the availability of specific data fields. If necessary data is unavailable, consider alternative proxy metrics but document assumptions explicitly.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "144efaec02344a38800186a002010785", "memory_type": "task", "when_to_use": "When parsing structured data like song titles to extract subfields (e.g., artist names).", "content": "Ensure consistent formatting of input data before relying on string manipulation techniques such as splitting. Validate the approach with sample data to avoid mismatches or incorrect filtering.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "679e6a8c03d04d378de4cf564eadab16", "memory_type": "task", "when_to_use": "When iterating over paginated API responses to collect complete datasets.", "content": "Implement robust pagination logic with clear termination conditions to ensure all pages are processed without infinite loops or missed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "407e497e95c7456ba2bd1e2b1d3d91e2", "memory_type": "task", "when_to_use": "When breaking down complex tasks into smaller steps, especially for multi-step API interactions.", "content": "Clearly define each step's expected output and ensure intermediate results (e.g., passwords, tokens) are correctly passed between steps. Ambiguity in step transitions can lead to missed dependencies and task failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "cff6f392f7b54b528a21b8b3ab3008b2", "memory_type": "task", "when_to_use": "When searching for a specific playlist (e.g., 'Liked Songs') but it cannot be found.", "content": "If the target playlist is not explicitly named or accessible, expand the search to include variations of the name (e.g., case-insensitive matches like 'liked' or 'favorites') or analyze all available playlists for relevant content.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2bfb5eff55ac4718acf0a7d151bd66a2", "memory_type": "task", "when_to_use": "When a task depends on an API feature that is not supported or documented.", "content": "Acknowledge API limitations early and communicate them to the user to avoid wasting resources on unachievable goals; suggest alternative approaches if possible.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e2395e01106b40a2868aef70cfd71c80", "memory_type": "task", "when_to_use": "When performing actions that may result in duplicate operations, such as following an artist multiple times.", "content": "Before executing an action like `follow_artist`, check the current state using a verification API (e.g., `show_artist_following`) to avoid redundant operations and potential errors (e.g., 422 Unprocessable Entity).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "fa30d5d7e4834acf86becffbac62911b", "memory_type": "task", "when_to_use": "When interacting with APIs that return nested or paginated data, such as lists of songs, playlists, or artists.", "content": "Always verify the structure of API responses by printing or logging sample outputs before processing them further. This prevents errors caused by incorrect assumptions about field names or data formats.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2c0dcfdb0c754ebc945491aa496ee770", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, especially where OAuth is expected but unavailable.", "content": "In simplified environments, passwords or other credentials may act as substitutes for access tokens. Always verify the authentication mechanism supported by the API in the specific context before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "973d37d1e6964b5e9bcc9a260de158a6", "memory_type": "task", "when_to_use": "When designing multi-step workflows involving paginated API responses.", "content": "Always check for pagination metadata (e.g., 'next' field) to ensure all pages are processed. Avoid hardcoding limits and adapt dynamically based on API responses.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "13f02f041f2740ae81ee37afeaa01941", "memory_type": "task", "when_to_use": "When designing scripts that must complete tasks regardless of intermediate failures.", "content": "Avoid using abrupt termination functions like `exit()` in environments where task completion is mandatory. Instead, implement graceful error handling that logs issues and ensures critical steps (e.g., marking task completion) are executed even if some components fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "99d8eb48e3c24503ac09f72a885d1d5f", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed without prematurely breaking the loop.", "content": "Always verify the termination condition for loops involving paginated data to avoid missing records from incomplete iterations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0aeeeeb8ae6e4ba6afb88636fe4ba376", "memory_type": "task", "when_to_use": "When exporting data with specific formatting requirements, validate intermediate outputs before finalizing the export.", "content": "Ensure placeholders or assumptions (e.g., artist names) align with expected formats to prevent mismatched or incomplete data in the final output.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7153d7479c1242a98dee1c451ae46b90", "memory_type": "task", "when_to_use": "Before performing irreversible actions like account termination, confirm all prior steps have been verified and completed successfully.", "content": "Irreversible operations should only be executed after ensuring all preceding tasks meet the desired outcomes to avoid premature or accidental disruptions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d1fb0dc5447040e48031cf0a9e327166", "memory_type": "task", "when_to_use": "When writing files to a file system and there is a possibility of the file already existing.", "content": "Always check if an API supports an 'overwrite' or similar parameter when creating or updating files to prevent conflicts with existing files.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0e962307fe45450eb23872cfb3f4231e", "memory_type": "task", "when_to_use": "When encountering undefined variables during task execution.", "content": "Verify that all variables used in the code are properly defined in the current context and remove references to unused or irrelevant variables.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "49d9009b4666449eb52c535b1e676199", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, especially when multiple apps are involved.", "content": "Always verify the authentication method for each app's API independently. Some APIs may require passwords instead of access tokens, even if other APIs in the same system use tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f4ef4d6c648b4a398f1b04b0ff320cfc", "memory_type": "task", "when_to_use": "When paginating through API responses to collect all data, such as playlists or songs.", "content": "Ensure pagination logic is robust and accounts for edge cases like empty pages or unexpected API responses to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
474
docs/_static/memory-lib/data/bfcl_v3.jsonl
vendored
474
docs/_static/memory-lib/data/bfcl_v3.jsonl
vendored
|
|
@ -1,474 +0,0 @@
|
|||
{"workspace_id": "bfcl_v1", "memory_id": "9880a12e011b4ad6b063f11d40115034", "memory_type": "task", "when_to_use": "When the user requests detailed account information including balance and linked card details.", "content": "The assistant successfully retrieved the user's account details by calling the 'get_account_info' function. It then presented the information in a clear, concise format, highlighting the net balance and card number while offering additional assistance. This approach ensures transparency and builds trust with the user.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["account_summary", "user_trust", "clear_communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f02db8610d63454b9d1554a55d308e3e", "memory_type": "task", "when_to_use": "When the user changes their mind about a pending transaction and requests its reversal.", "content": "The assistant efficiently canceled the pending buy order by invoking the 'cancel_order' function with the provided order ID. It then confirmed the cancellation to the user, ensuring clarity and preventing confusion. This demonstrates responsiveness to user needs and reinforces confidence in the system.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["order_cancellation", "user_control", "responsive_action"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4316c28977274421933a0f2c67f51603", "memory_type": "task", "when_to_use": "When the user wants to execute a stock purchase after reviewing their watchlist and market conditions.", "content": "The assistant followed a logical sequence: retrieving stock information using 'get_stock_info', placing an order with 'place_order', and confirming the order status. This ensured the transaction was based on up-to-date market data and aligned with the user’s intent, enhancing decision-making reliability.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["stock_purchase", "market_analysis", "transaction_confirmation"], "confidence": 0.88, "step_type": "sequence", "tools_used": ["get_stock_info", "place_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e1cd30bc63254e2e897aad1780e8a31d", "memory_type": "task", "when_to_use": "When the user needs to review their tracked investments and potentially act on them.", "content": "The agent first retrieved the user's watchlist, then provided detailed stock information, allowing for informed decision-making. After placing an order, it ensured flexibility by facilitating cancellation upon request. This step pattern ensures a smooth user experience by keeping users in control of their investment actions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["investment", "stock-tracking", "order-management"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_watchlist", "get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9c1598234d8e4ed58e2b67a237a758da", "memory_type": "task", "when_to_use": "When the user requests a summary of their account balance and associated payment details.", "content": "The agent efficiently used the get_account_info function to retrieve key details such as account balance and linked card information, presenting it in a clear format. This approach satisfies the user’s need for transparency and helps them make further financial decisions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["account-summary", "balance-check", "user-support"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc3453b510304c7eb09b9261338127ac", "memory_type": "task", "when_to_use": "When handling complex user requests involving multiple steps such as booking, purchasing, and resolving issues.", "content": "The agent successfully executed a multi-step process to book a flight, purchase insurance, retrieve an invoice, and escalate a billing concern by creating a priority ticket. Each step was handled sequentially using appropriate tools, ensuring clarity and resolution at every stage.", "score": 0.0, "time_created": "2025-08-04 07:32:45", "time_modified": "2025-08-04 07:32:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:45", "modified_time": "2025-08-04 07:32:45", "extra_info": {"tags": ["multi-step", "sequential-execution", "escalation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "book_flight", "purchase_insurance", "retrieve_invoice", "contact_customer_support", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0a7deddb5f4640ddbea7ea7018772238", "memory_type": "task", "when_to_use": "When escalating unresolved issues after initial customer support contact.", "content": "After the user reported frustration due to an unresolved issue with customer support, the agent created a priority-2 ticket titled 'Billing Concern' with detailed context. This approach ensures proper escalation and tracking of the issue.", "score": 0.0, "time_created": "2025-08-04 07:32:45", "time_modified": "2025-08-04 07:32:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:45", "modified_time": "2025-08-04 07:32:45", "extra_info": {"tags": ["escalation", "priority-ticket", "customer-support"], "confidence": 0.85, "step_type": "decision", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "736a6cd4d1154878b09885022480e218", "memory_type": "task", "when_to_use": "When encountering function parameter errors despite matching the documented API specification.", "content": "Verify whether the actual implementation of a function matches its documented parameters, especially when receiving unexpected keyword argument errors. This may indicate outdated or incorrect documentation.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_mismatch"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6ce3a6506bd44bbcadc8c8f93e43bd84", "memory_type": "task", "when_to_use": "When handling multi-step processes involving dependent functions (e.g., retrieving costs before booking).", "content": "Ensure all required data is successfully retrieved and validated before proceeding to dependent steps. Missing or incorrect data in earlier steps can cascade into failures downstream.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "dependency_management"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1a8aeddd0dd0444298dcc50aef41f143", "memory_type": "task", "when_to_use": "When dealing with authentication-dependent actions where prior steps fail due to missing or invalid credentials.", "content": "Always confirm that authentication tokens are valid and correctly passed before initiating subsequent actions. Invalid tokens can lead to cascading failures in operations like invoice retrieval or customer support interactions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication_errors"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4e6103036b4745e195fdb10f50d07512", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific financial data about a company before making investment decisions.", "content": "The agent successfully retrieved the stock symbol and recent market activity for Zeta Corp by sequentially using 'get_symbol_by_name' and 'get_stock_info'. This ensured the user had all necessary details (price, volume, moving averages) to evaluate their investment decision.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["stock-market", "investment", "data-retrieval"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9801e0315cb84248bd461542a8a02c6f", "memory_type": "task", "when_to_use": "When confirming or canceling an order based on user reconsideration.", "content": "Upon the user's request to cancel the buy order, the agent efficiently used 'cancel_order' after verifying the order ID with 'get_order_details'. This demonstrated adaptability to changing user intent while maintaining clarity and precision in execution.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["order-management", "cancellation", "user-intent"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "953f48489f5948cfbfc9da1fbdac4deb", "memory_type": "task", "when_to_use": "When providing account updates including balance and linked payment methods.", "content": "To address the user’s query about their account alignment, the agent utilized 'get_account_info' to fetch the current balance and masked card number. Presenting this information clearly reassured the user and allowed them to verify accuracy effectively.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["account-update", "balance-check", "privacy"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "20d14302104b461fa0cfa1653c91f27f", "memory_type": "task", "when_to_use": "When handling stock purchase requests, ensure the user has sufficient funds before initiating transactions.", "content": "Always verify account balance and linked payment methods prior to executing financial orders to prevent failed transactions or unnecessary cancellations.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["error_prevention", "financial_validation", "user_experience"], "confidence": 0.9, "step_type": "decision", "tools_used": ["get_account_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6e4e4c160fb4459eb5872cd9c85b07cb", "memory_type": "task", "when_to_use": "When a user cancels an order, proactively offer updates on their account status to address potential concerns about funds or future transactions.", "content": "Canceling an order often prompts users to reassess their financial standing; providing immediate account details enhances transparency and trust.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["user_engagement", "proactive_support", "account_management"], "confidence": 0.8, "step_type": "action", "tools_used": ["cancel_order", "get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "405b328beb484f4fae37c897283fdabf", "memory_type": "task", "when_to_use": "If multiple systems are involved (e.g., ticketing vs. travel tools), ensure that function calls align with the context of the query to avoid irrelevant tool usage.", "content": "Misalignment between queried intent and executed functions can lead to confusion; maintain strict relevance between the user’s request and the selected tools.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["tool_relevance", "context_matching", "failure_analysis"], "confidence": 0.75, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dd2d0943ae6545d6ad215d65f2e415a6", "memory_type": "task", "when_to_use": "When the user needs to transition from general information gathering (e.g., listing all airports) to specific task execution (e.g., booking a flight).", "content": "The sequence effectively narrowed down from broad data retrieval (listing all airports) to precise actions like identifying the nearest airport, calculating costs, and executing a booking. The success came from chaining multiple tools logically: first gathering relevant details (nearest airport, cost), performing necessary conversions (currency exchange), and then finalizing with a booking action. Each step built upon the previous one, ensuring no redundant or irrelevant actions.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["task refinement", "sequential tool use", "booking flow"], "confidence": 0.9, "step_type": "action", "tools_used": ["list_all_airports", "get_nearest_airport_by_city", "get_flight_cost", "compute_exchange_rate", "set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f7869146662e47e698cb1b240cab7a77", "memory_type": "task", "when_to_use": "When handling errors during API/tool calls due to unexpected arguments or parameter mismatches.", "content": "An error occurred when attempting to book a flight with an incorrect parameter ('travel_cost'). Rather than halting the process, the agent identified the issue by examining the function signature requirements, removed the unnecessary argument, and re-executed the call successfully. This highlights the importance of quickly diagnosing API errors and adapting to the expected inputs dynamically.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["error handling", "parameter adjustment", "api call"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fcada19ff7d4410198d910f9c0264144", "memory_type": "task", "when_to_use": "When closing support tickets or resolving minor follow-up tasks after completing the main workflow.", "content": "After fulfilling the primary objective (flight booking), the agent efficiently handled a secondary task (closing a ticket) using the appropriate tool ('close_ticket'). This ensured that all loose ends were tied up, enhancing user satisfaction by addressing ancillary requests promptly. The seamless integration of this task into the overall workflow demonstrates strong task-management skills.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["ticket resolution", "follow-up tasks", "user satisfaction"], "confidence": 0.8, "step_type": "action", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f1046c42c6854eec9afd1513f32a6bcb", "memory_type": "task", "when_to_use": "When attempting to book a flight and encountering an unexpected keyword argument error.", "content": "Ensure that the function parameters match exactly with the expected arguments. Extra or incorrect parameters can lead to execution errors even if the rest of the logic is correct.", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "999a1ce0d5d748f0bffe2118144b4a89", "memory_type": "task", "when_to_use": "When managing tickets and resolving user queries during a travel booking process.", "content": "Always confirm that the ticket being closed matches the exact issue described by the user, and ensure that no additional steps are needed after closing it (e.g., follow-up actions).", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "ticket_management", "user_communication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e0cc010a3575467b9c3059e5bdc5a487", "memory_type": "task", "when_to_use": "When setting budget limits based on expenses converted from one currency to another.", "content": "Double-check whether the provided numerical values (like fiscal thresholds) align correctly with both the original expense and the intended conversion rate before finalizing budgets.", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "budgeting", "conversion_validation"], "confidence": 0.75, "step_type": "reasoning", "tools_used": ["set_budget_limit", "compute_exchange_rate"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3d8cec1390574885bcf940674df23e90", "memory_type": "task", "when_to_use": "When handling requests to add stocks to a watchlist or perform financial tasks, ensure the correct tools are available and relevant.", "content": "Avoid using unrelated toolsets (e.g., vehicle control APIs) for financial operations as it leads to confusion and failure. Validate tool relevance before execution.", "score": 0.0, "time_created": "2025-08-04 07:33:17", "time_modified": "2025-08-04 07:33:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:17", "modified_time": "2025-08-04 07:33:17", "extra_info": {"tags": ["error_prevention", "tool_validation", "failure_analysis"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b3b6a4b2bf2d43c7a3aed1247e6e5d10", "memory_type": "task", "when_to_use": "When resolving tickets or performing follow-up actions, confirm all required parameters (e.g., ticket ID) are explicitly provided or inferred correctly.", "content": "Implicit assumptions about required parameters can lead to errors; always cross-check previous steps for accurate data retrieval.", "score": 0.0, "time_created": "2025-08-04 07:33:17", "time_modified": "2025-08-04 07:33:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:17", "modified_time": "2025-08-04 07:33:17", "extra_info": {"tags": ["parameter_validation", "error_prevention", "ticket_management"], "confidence": 0.8, "step_type": "action", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32a658e7294d45749e29059ad9f1371e", "memory_type": "task", "when_to_use": "When handling user requests involving multiple steps, especially when tools require specific IDs or details.", "content": "Always confirm the availability of required parameters (e.g., ticket ID, order ID) before proceeding with actions. If unavailable, prompt the user clearly and early to avoid mid-process interruptions.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["resolve_ticket", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b4413cdc0e7744f282e91442e58d80c7", "memory_type": "task", "when_to_use": "When a user references prior actions or tickets assumed to exist but not explicitly mentioned in the current session.", "content": "Cross-check context and clarify assumptions by asking for missing details instead of proceeding based on incomplete information.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["error_prevention", "context_management", "user_clarification"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_account_info", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2990d144e5bf47ad81f3edcc89b31ccd", "memory_type": "task", "when_to_use": "When designing workflows that involve multi-step tool usage or dependencies between tools.", "content": "Ensure fallback mechanisms are in place to handle cases where expected inputs (like IDs or prior outputs) are missing or invalid.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["workflow_design", "dependency_management", "error_handling"], "confidence": 0.8, "step_type": "action", "tools_used": ["all_trading_system_tools", "message_API_tools"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5fce67a622f40179a97f3735c504d6d", "memory_type": "task", "when_to_use": "When initiating a financial order, such as buying or selling shares, and ensuring the user's intent is accurately captured.", "content": "The agent successfully retrieved real-time stock information before placing the order, ensuring accuracy in decision-making. This step pattern confirms data relevance and minimizes the risk of errors by aligning with current market conditions.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["financial_order", "real_time_data", "accuracy"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b8c0fd0f4a544c7996640d06d48822f7", "memory_type": "task", "when_to_use": "When a user requests cancellation of an ongoing transaction and requires confirmation of its success.", "content": "The agent efficiently canceled the order using the `cancel_order` function and verified the status to ensure absolute closure. This step pattern ensures the user’s request is fully executed and provides transparency through clear status updates.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["order_cancellation", "transaction_confirmation", "user_trust"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b4e575df94f645dc8aec2f6d7c2ade26", "memory_type": "task", "when_to_use": "When escalating an issue or creating a support ticket for platform-related concerns post-transaction.", "content": "The agent created a detailed support ticket with a clear description of the issue, enabling effective investigation by the support team. This approach demonstrates proactive problem-solving and enhances user satisfaction by addressing frustrations promptly.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["support_ticket", "issue_escalation", "customer_service"], "confidence": 0.8, "step_type": "action", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1cf96fd1684a4527aa4231d50899c581", "memory_type": "task", "when_to_use": "When initiating financial transactions such as stock purchases, ensure the user's intent is clear and verified before proceeding.", "content": "Always confirm critical details with the user before executing irreversible actions like placing buy/sell orders. A simple confirmation step can prevent costly mistakes.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["error_prevention", "user_confirmation", "financial_transactions"], "confidence": 0.9, "step_type": "decision", "tools_used": ["place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "587ded2306e34603a8e9afc3086eed0c", "memory_type": "task", "when_to_use": "If a user expresses dissatisfaction or mentions an error during a process, prioritize addressing their concerns immediately.", "content": "Proactively acknowledge and resolve potential issues by creating support tickets or escalating problems when necessary. Ignoring these signals may lead to further frustration.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["customer_support", "escalation", "user_satisfaction"], "confidence": 0.85, "step_type": "action", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "662bd8ef6a124be9befa291faa09417a", "memory_type": "task", "when_to_use": "When providing account overviews or sensitive information, ensure that all data shared aligns with privacy standards and does not expose unnecessary personal details.", "content": "Sensitive information (e.g., full credit card numbers) should always be masked in outputs to maintain security and trust. Only reveal what is essential for the task at hand.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["data_privacy", "security", "account_management"], "confidence": 0.8, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a4d61bd456f2453c9cb6109d9b63cc1e", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific travel-related information (e.g., nearest airports, flight costs) and perform subsequent actions like setting budgets or booking flights.", "content": "The agent successfully identified the nearest airports for given cities using 'get_nearest_airport_by_city', retrieved flight cost details with 'get_flight_cost', set a budget limit via 'set_budget_limit', and completed a booking using 'book_flight'. The sequence was efficient because it followed a logical progression from information gathering to action execution while maintaining context across steps.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["travel-planning", "sequential-actions", "context-retention"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f193ea69cc77488aa12052b3a888bf92", "memory_type": "task", "when_to_use": "When handling errors during function calls due to incorrect parameters, and needing to retry with corrected inputs.", "content": "During the booking process, an error occurred because an unexpected parameter ('travel_cost') was included in the 'book_flight' call. The agent recognized the issue, omitted the invalid parameter, and successfully executed the function on the second attempt. This demonstrates adaptability and problem-solving in dynamic environments.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["error-handling", "parameter-validation", "retry-logic"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1e874eae3a2473bb3c6e2dd4d78cb55", "memory_type": "task", "when_to_use": "When providing users with summaries of their transactions or bookings for record-keeping purposes.", "content": "After completing the booking, the agent retrieved the invoice using 'retrieve_invoice' by leveraging previously stored data (e.g., booking ID). Presenting this information in a clear, structured format enhanced user satisfaction and ensured all necessary details were captured.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["invoice-retrieval", "summary-generation", "user-satisfaction"], "confidence": 0.8, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0b342f04c7654a978e39b0ee134877f1", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific information about a booking or transaction for record-keeping purposes.", "content": "After completing a booking, the agent successfully retrieved the invoice by calling 'retrieve_invoice' with the access token and booking ID. This ensured accurate delivery of financial details while maintaining security through token-based authentication.", "score": 0.0, "time_created": "2025-08-04 07:33:08", "time_modified": "2025-08-04 07:33:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:08", "modified_time": "2025-08-04 07:33:08", "extra_info": {"tags": ["invoice", "booking", "financial-summary", "secure-access"], "confidence": 0.9, "step_type": "action", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d2eb64b80c884e618f41c9215a1302d0", "memory_type": "task", "when_to_use": "When handling sequential tasks involving budgeting, booking, and confirmation in travel planning.", "content": "The agent effectively managed multiple steps: setting a budget limit, booking a flight within that limit, and then retrieving an invoice. Each step built upon the previous one using consistent parameters like access tokens and IDs, ensuring coherence and reliability across operations.", "score": 0.0, "time_created": "2025-08-04 07:33:08", "time_modified": "2025-08-04 07:33:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:08", "modified_time": "2025-08-04 07:33:08", "extra_info": {"tags": ["travel-planning", "budget-management", "sequential-tasks", "coherent-workflow"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["set_budget_limit", "book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1d958e6e80040e7b58d691cdf5303a5", "memory_type": "task", "when_to_use": "When determining flight costs based on location, date, and class for future travel.", "content": "The agent successfully identified the nearest airports for both the departure and arrival cities using 'get_nearest_airport_by_city'. It then used 'get_flight_cost' to retrieve accurate pricing for a specific travel class and date. This sequential approach ensures precise cost estimation by leveraging geographic and temporal data.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["flight booking", "cost estimation", "travel planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46f14e081bd04310989475f7aef0b4b9", "memory_type": "task", "when_to_use": "When adjusting a user's budget in response to currency conversion needs.", "content": "After computing the exchange rate between RMB and USD using 'compute_exchange_rate', the agent updated the user’s budget limit with 'set_budget_limit'. This ensured alignment with the user’s financial requirements in a different currency, demonstrating adaptability and precision in budget management.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["budget management", "currency conversion", "financial adjustment"], "confidence": 0.85, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fa2fded37deb4556a57f610db293570a", "memory_type": "task", "when_to_use": "When handling cancellations or reversals of previously executed actions like bookings.", "content": "Upon receiving a cancellation request, the agent promptly invoked 'cancel_booking' with the correct booking ID and access token. Despite encountering an issue while retrieving the invoice post-cancellation, the cancellation itself was executed flawlessly. This highlights the importance of validating follow-up actions after irreversible operations.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["booking cancellation", "error handling", "user requests"], "confidence": 0.8, "step_type": "action", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fe05f7c66bf7462cb359fbb70458ef4f", "memory_type": "task", "when_to_use": "When encountering persistent parameter-related errors during API calls despite following documentation.", "content": "If an API consistently rejects documented parameters, verify whether the implementation deviates from the documentation or if additional hidden constraints exist. Escalate discrepancies to system maintainers.", "score": 0.0, "time_created": "2025-08-04 07:33:16", "time_modified": "2025-08-04 07:33:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:16", "modified_time": "2025-08-04 07:33:16", "extra_info": {"tags": ["error_prevention", "api_mismatch", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "925b1d7d9f6c46da888991fdf1a7222a", "memory_type": "task", "when_to_use": "When a requested operation (e.g., invoice retrieval) fails due to prior actions like cancellations.", "content": "Some operations may not support follow-up actions after state changes (e.g., canceled bookings). Always confirm downstream compatibility of requests with current states before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:33:16", "time_modified": "2025-08-04 07:33:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:16", "modified_time": "2025-08-04 07:33:16", "extra_info": {"tags": ["state_management", "failure_analysis", "booking_systems"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e44b1719e7f14c8385c7776c12a616f9", "memory_type": "task", "when_to_use": "When needing to amplify the visibility of a user-generated social media post.", "content": "The sequence involved retweeting the original tweet and adding a relevant comment ('Ready for the next adventure!') to increase engagement. By leveraging both 'retweet' and 'comment' functions, this ensured broader reach while maintaining contextual relevance through the added commentary.", "score": 0.0, "time_created": "2025-08-04 07:33:55", "time_modified": "2025-08-04 07:33:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:55", "modified_time": "2025-08-04 07:33:55", "extra_info": {"tags": ["social_media", "amplification", "engagement"], "confidence": 0.9, "step_type": "action", "tools_used": ["retweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "472881c9ac174a91be480c229696b9c6", "memory_type": "task", "when_to_use": "When handling sequential actions dependent on prior outputs (e.g., tweet IDs).", "content": "The agent correctly identified and utilized the tweet ID from an earlier response (ID: 5) to execute subsequent steps like retweeting and commenting. This demonstrates effective use of context retention and parameter passing between actions, ensuring continuity in multi-step tasks.", "score": 0.0, "time_created": "2025-08-04 07:33:55", "time_modified": "2025-08-04 07:33:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:55", "modified_time": "2025-08-04 07:33:55", "extra_info": {"tags": ["context_retention", "parameter_passing", "sequential_actions"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1f98d6572e234d9fb8b17a7d10e7fda5", "memory_type": "task", "when_to_use": "When dealing with multi-step tasks that require precise coordination of tools and actions.", "content": "Always verify the dependencies between steps to ensure all prerequisites are met before proceeding. For example, confirming tweet ID or engine door status before executing subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["error_prevention", "dependency_management", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retweet", "comment", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7c28e1b5bcf642afb94ef265431bf8d5", "memory_type": "task", "when_to_use": "When interpreting user intent for ambiguous queries involving tool outputs.", "content": "Cross-check implicit assumptions (e.g., tweet IDs, fuel levels) by referencing prior tool responses explicitly rather than relying on inferred data.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["error_prevention", "ambiguity_resolution", "tool_output_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "87ad60804f9545c1908b97f509e9f9b5", "memory_type": "task", "when_to_use": "When handling complex workflows requiring multiple API calls.", "content": "Break down each task into smaller, verifiable sub-tasks to isolate and address potential points of failure systematically.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["workflow_optimization", "failure_isolation", "api_usage"], "confidence": 0.8, "step_type": "action", "tools_used": ["liter_to_gallon", "check_tire_pressure", "get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6147e47188574c2aaf1f18f671801012", "memory_type": "task", "when_to_use": "When booking a flight with specific travel class and payment details, and ensuring the correct airport codes are used.", "content": "The agent first identified the nearest airports for both departure and arrival cities using 'get_nearest_airport_by_city'. It then fetched the cost of the flight based on the specified class and date using 'get_flight_cost'. Finally, it successfully booked the flight using 'book_flight' after resolving parameter mismatches. This sequence ensures accurate data flow from location identification to final booking.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["flight_booking", "airport_code_identification", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c0c6ad888be04715b3badf3161d10344", "memory_type": "task", "when_to_use": "When a previously booked flight needs to be canceled promptly.", "content": "After confirming the need for cancellation, the agent called 'cancel_booking' with the correct booking ID and access token. The operation was successful, demonstrating that direct invocation of cancellation tools with verified parameters is effective in achieving immediate results.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["booking_cancellation", "parameter_verification", "immediate_action"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8dfabfe8d1d84117a12d16f466959a35", "memory_type": "task", "when_to_use": "When creating a high-priority support ticket after a significant action like flight cancellation.", "content": "Following the cancellation, the agent authenticated the user via 'ticket_login' and created a high-priority ticket using 'create_ticket', explicitly setting priority to 5. This ensured the issue was flagged appropriately for urgent attention, showcasing the importance of combining authentication and explicit priority settings in workflows involving customer support.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["ticket_creation", "authentication", "priority_handling"], "confidence": 0.8, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "01545e804d024bf89b8970a4df8b8c66", "memory_type": "task", "when_to_use": "When handling multiple API calls that depend on authentication or session management.", "content": "Always verify whether an API call requires prior authentication and ensure the login step is completed before proceeding with dependent actions. Skipping this can lead to unauthorized errors, even if credentials are provided later.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["error_prevention", "authentication", "api_workflow"], "confidence": 0.9, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "536131aa3cd747099c437e6d454716c6", "memory_type": "task", "when_to_use": "When encountering unexpected parameter errors in API calls despite having seemingly correct inputs.", "content": "Double-check the exact parameter names and structure expected by the API function. Misaligned or incorrect parameter names (e.g., 'travel_cost' vs. 'cost') can cause execution failures even if the data values are accurate.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["parameter_validation", "api_errors", "failure_analysis"], "confidence": 0.85, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ff7652f8429448fead1f27aadb0f1728", "memory_type": "task", "when_to_use": "When user instructions contain ambiguities or conflicting details (e.g., mentioning London instead of Chicago).", "content": "Clarify discrepancies in user input early to avoid executing unintended actions. Cross-reference specific identifiers like airport codes or booking IDs to confirm alignment with the user's intent.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["user_clarification", "error_prevention", "context_alignment"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e8e7f2d0b7a648d2bbac7cac322f1d3c", "memory_type": "task", "when_to_use": "When performing multi-step tasks involving vehicle systems, ensure all preconditions (e.g., locked doors, brake pedal pressed) are verified before attempting critical actions like starting the engine.", "content": "Failure often occurs when implicit prerequisites for an action are overlooked. Always confirm readiness conditions explicitly before proceeding with dependent steps.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f12823732eeb431cad309badce6079a4", "memory_type": "task", "when_to_use": "When handling user requests about monitoring or maintaining thresholds (e.g., tire pressure), cross-check automated 'healthy' flags against actual values to avoid missing actionable issues.", "content": "Automated health indicators can sometimes mask underlying problems if not paired with manual validation of reported data points.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_monitoring"], "confidence": 0.85, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2a4f65a4d254126a5651dc236baa8aa", "memory_type": "task", "when_to_use": "When interpreting vague or conditional user instructions (e.g., 'should I notice...'), simulate proactive checks instead of waiting for explicit triggers to identify potential issues early.", "content": "Proactive verification in ambiguous scenarios ensures timely detection and resolution of latent problems that may not yet be apparent to the user.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "proactive_checks"], "confidence": 0.8, "step_type": "decision", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "61091bd2b6414f73b753db4d6151442f", "memory_type": "task", "when_to_use": "When handling tasks that involve multiple sequential actions based on conditional checks.", "content": "Always validate the feasibility of subsequent steps after each action to avoid cascading errors. For example, ensure that a requested operation (e.g., filling fuel) doesn't exceed system constraints before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "conditional_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ee30b6e35dd24cd2b9b53251c049fad3", "memory_type": "task", "when_to_use": "When interpreting system responses that appear contradictory or ambiguous (e.g., healthy_tire_pressure marked as true despite values below user thresholds).", "content": "Cross-check system health indicators with user-defined thresholds and clarify discrepancies explicitly in the response to avoid confusion.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1af3153ca16430bbb0144db704f7585", "memory_type": "task", "when_to_use": "When setting up alerts or automated responses for future conditions (e.g., tire pressure falling below a threshold).", "content": "If tools don’t support real-time monitoring, simulate checks periodically and provide proactive instructions to mitigate risks until a proper alert system can be implemented.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "proactive_measures"], "confidence": 0.75, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2339c99b71f4843a7087f98451be643", "memory_type": "task", "when_to_use": "When creating files intended to reside inside a specific folder, ensure that the path is explicitly specified during file creation.", "content": "Files created without specifying a target directory are placed in the current working directory, which may lead to confusion if the intent was to place them inside a subdirectory. Always confirm or adjust the working directory before executing commands.", "score": 0.0, "time_created": "2025-08-04 07:33:57", "time_modified": "2025-08-04 07:33:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:57", "modified_time": "2025-08-04 07:33:57", "extra_info": {"tags": ["error_prevention", "file_management", "working_directory"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "06eac56d5a4c415088c0ec0ce7847c91", "memory_type": "task", "when_to_use": "When listing files to verify their order or contents, double-check whether hidden files or unintended directories might affect the interpretation of results.", "content": "System tools like 'ls' include all visible files and folders unless filtered. Misinterpreting these outputs can lead to incorrect assumptions about file placement or sequence. Clarify with the user or use additional filtering options when needed.", "score": 0.0, "time_created": "2025-08-04 07:33:57", "time_modified": "2025-08-04 07:33:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:57", "modified_time": "2025-08-04 07:33:57", "extra_info": {"tags": ["error_prevention", "file_listing", "hidden_files"], "confidence": 0.8, "step_type": "observation", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca5896f46efa4ff9993828160e8e608d", "memory_type": "task", "when_to_use": "When determining file order based on 'system order', clarify whether alphabetical or creation order is intended.", "content": "System order can be ambiguous; it typically implies alphabetical sorting, but tools may list files by creation time if not explicitly sorted. Always confirm the expected order with the user or tool behavior.", "score": 0.0, "time_created": "2025-08-04 07:34:10", "time_modified": "2025-08-04 07:34:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:10", "modified_time": "2025-08-04 07:34:10", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_order", "system_order"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ef404e333a164e5d8c70d3251685fb89", "memory_type": "task", "when_to_use": "When creating files inside a specific folder, ensure the target directory is explicitly set before executing file operations.", "content": "Files created without specifying the target directory may end up in the current working directory instead of the intended subfolder, leading to confusion and incorrect results.", "score": 0.0, "time_created": "2025-08-04 07:34:10", "time_modified": "2025-08-04 07:34:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:10", "modified_time": "2025-08-04 07:34:10", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_creation", "directory_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5ae32789e9246c68923e8cf7be075dd", "memory_type": "task", "when_to_use": "When creating a new file and writing initial content into it.", "content": "The sequence of using 'touch' to create a file followed by 'echo' to write content ensures the file is both created and populated efficiently. This two-step pattern minimizes errors by separating file creation from content insertion, allowing clear verification points.", "score": 0.0, "time_created": "2025-08-04 07:34:20", "time_modified": "2025-08-04 07:34:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:20", "modified_time": "2025-08-04 07:34:20", "extra_info": {"tags": ["file_creation", "content_insertion", "file_system_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0211dc590904657809f0e33a83da2fd", "memory_type": "task", "when_to_use": "When resolving tickets without additional description in a ticketing system.", "content": "Calling 'resolve_ticket' with an empty resolution field allows marking tickets as resolved while adhering to system requirements for the resolution parameter. This approach respects API constraints while achieving the user's intent effectively.", "score": 0.0, "time_created": "2025-08-04 07:34:20", "time_modified": "2025-08-04 07:34:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:20", "modified_time": "2025-08-04 07:34:20", "extra_info": {"tags": ["ticket_resolution", "API_constraints", "empty_parameters"], "confidence": 0.85, "step_type": "action", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b26f18a5975f42ae9eab30fcd0292b80", "memory_type": "task", "when_to_use": "When a tool consistently returns 'None' or fails to provide expected feedback despite correct usage.", "content": "If a function call repeatedly fails to execute as intended, verify if the environment or tool is malfunctioning instead of solely retrying the same action. Consider alternative tools or approaches that achieve the same outcome.", "score": 0.0, "time_created": "2025-08-04 07:34:14", "time_modified": "2025-08-04 07:34:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:14", "modified_time": "2025-08-04 07:34:14", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["echo", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5397dc41bdf64febbd490d87e8303553", "memory_type": "task", "when_to_use": "When multiple attempts at solving a problem with one method lead to repeated failures.", "content": "After two failed attempts using the same approach, reassess the strategy and explore alternative methods rather than continuing repetitive actions.", "score": 0.0, "time_created": "2025-08-04 07:34:14", "time_modified": "2025-08-04 07:34:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:14", "modified_time": "2025-08-04 07:34:14", "extra_info": {"tags": ["error_prevention", "decision_making", "strategy_adjustment"], "confidence": 0.8, "step_type": "decision", "tools_used": ["echo", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "715227dbfe774ad2b2731b7802aa3983", "memory_type": "task", "when_to_use": "When the user requests stock information and follow-up actions such as adding to a watchlist or sending related messages.", "content": "The agent successfully retrieved stock details for Zeta Corp using 'get_stock_info', added it to the watchlist via 'add_to_watchlist', and enabled communication about the stock by sending a message with 'send_message'. This sequence of gathering, organizing, and sharing insights ensured the user's needs were comprehensively addressed.", "score": 0.0, "time_created": "2025-08-04 07:34:32", "time_modified": "2025-08-04 07:34:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:32", "modified_time": "2025-08-04 07:34:32", "extra_info": {"tags": ["stock analysis", "watchlist management", "communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info", "add_to_watchlist", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4d89667fe2844c2c9670fe2b19fd5147", "memory_type": "task", "when_to_use": "When the user wants to review their sent messages for context or follow-up actions.", "content": "The agent effectively used 'view_messages_sent' to retrieve and present all recently sent messages grouped by recipient. By organizing the output clearly, the agent allowed the user to quickly grasp their communication history and decide on next steps.", "score": 0.0, "time_created": "2025-08-04 07:34:32", "time_modified": "2025-08-04 07:34:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:32", "modified_time": "2025-08-04 07:34:32", "extra_info": {"tags": ["message tracking", "user history", "sent messages"], "confidence": 0.85, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "31db8cc648ce4cafbd9acea0c97f99a9", "memory_type": "task", "when_to_use": "When handling user queries about stock performance and related messaging tasks, ensure clarity in distinguishing between different API functionalities.", "content": "Avoid conflating unrelated tools or APIs during task execution by mapping out the appropriate sequence of actions beforehand, ensuring each step logically follows from the last based on the context of the query.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_conflation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_stock_info", "send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5c7200e14204f698a9056f79ba7ffd8", "memory_type": "task", "when_to_use": "When a user requests to review their sent messages, verify that the correct tool ('view_messages_sent') is used without being sidetracked by irrelevant tools.", "content": "Always confirm alignment between the user's request and the selected tool's functionality to avoid unnecessary steps or incorrect responses.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_selection"], "confidence": 0.8, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "532c186ca3de4609b8e794cf76c6ecff", "memory_type": "task", "when_to_use": "During multi-step interactions involving both financial data retrieval and messaging functions, maintain focus on the primary intent of the user’s original query.", "content": "Stick to fulfilling the immediate request (e.g., stock info) before pivoting to secondary tasks (e.g., sending messages), unless explicitly instructed otherwise by the user.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_prioritization"], "confidence": 0.75, "step_type": "decision", "tools_used": ["get_stock_info", "add_to_watchlist", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e4515ae0542642c193b903e301bf0608", "memory_type": "task", "when_to_use": "When needing to calculate and verify an average value based on multiple inputs.", "content": "The agent successfully calculated the average tire pressure by summing individual values and dividing by the number of items. It then validated this result using a 'mean' function from a Math API, ensuring accuracy and alignment with user expectations.", "score": 0.0, "time_created": "2025-08-04 07:34:25", "time_modified": "2025-08-04 07:34:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:25", "modified_time": "2025-08-04 07:34:25", "extra_info": {"tags": ["average calculation", "validation", "math operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "358e15f19bfd43acbcc7f0fb6d0a4558", "memory_type": "task", "when_to_use": "When addressing multi-step requests requiring sequential checks or actions (e.g., vehicle diagnostics).", "content": "The agent followed a logical sequence: checking individual tire pressures first, calculating their average upon user request, and presenting results in a clear, concise manner. This approach ensured all sub-tasks were completed systematically without missing details.", "score": 0.0, "time_created": "2025-08-04 07:34:25", "time_modified": "2025-08-04 07:34:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:25", "modified_time": "2025-08-04 07:34:25", "extra_info": {"tags": ["sequential tasks", "vehicle health check", "multi-step reasoning"], "confidence": 0.85, "step_type": "action", "tools_used": ["check_tire_pressure", "mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "82df6634afa74b4db4fcb385bd889326", "memory_type": "task", "when_to_use": "When initiating multi-step actions that depend on specific preconditions (e.g., locking doors, pressing the brake pedal).", "content": "Always verify and fulfill all required preconditions before attempting an action to avoid repetitive failures.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "preconditions"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7aa98ad6aa78498fbe70b80512780745", "memory_type": "task", "when_to_use": "When handling complex sequences involving unit conversions or calculations.", "content": "Ensure intermediate steps like rounding are performed accurately and consistently to maintain precision throughout the sequence.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "unit_conversion"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["liter_to_gallon", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c0efee40c303472b8252490db97e7c8d", "memory_type": "task", "when_to_use": "When gathering information from multiple sources or tools to make a decision.", "content": "Aggregate and cross-check data from different functions to ensure accuracy and completeness of the final output.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_aggregation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["displayCarStatus", "check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5655eb82b0a54eb6b1e33399928db043", "memory_type": "task", "when_to_use": "When the user needs to review and potentially cancel pending orders.", "content": "The agent first retrieved the order history, then iteratively fetched details for each order. By presenting both completed and pending orders, it allowed the user to make an informed decision on whether to cancel any specific pending order. This step pattern ensures clarity and enables effective decision-making.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["order management", "order cancellation", "pending actions"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1528e3863e6408d964b453e4a9f067b", "memory_type": "task", "when_to_use": "When handling multiple related tasks with interdependencies (e.g., retrieving and processing a list of items).", "content": "After obtaining the list of order IDs via 'get_order_history', the agent processed each order sequentially by calling 'get_order_details'. This ensured all relevant information was gathered before presenting it to the user. Such systematic handling of interdependent tasks minimizes oversight and maximizes task completion reliability.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["task sequencing", "interdependent tasks", "systematic processing"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5dab685787a746a5a1a0181aa14384eb", "memory_type": "task", "when_to_use": "When the user refers to an order that needs review but does not provide specific details like an order ID.", "content": "Always clarify missing or ambiguous information (e.g., order ID) before attempting to retrieve or act on data. Proceeding without critical identifiers can lead to incomplete or incorrect actions.", "score": 0.0, "time_created": "2025-08-04 07:34:38", "time_modified": "2025-08-04 07:34:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:38", "modified_time": "2025-08-04 07:34:38", "extra_info": {"tags": ["error_prevention", "missing_information", "clarification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3380a9bd168848898eaf63ad96509a27", "memory_type": "task", "when_to_use": "When handling sequential tasks that depend on prior user inputs or actions, such as reviewing orders or transactions.", "content": "Ensure continuity in task execution by referencing previous steps or asking for necessary context if it’s unclear. Avoid assumptions about implicit prior actions unless explicitly confirmed.", "score": 0.0, "time_created": "2025-08-04 07:34:38", "time_modified": "2025-08-04 07:34:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:38", "modified_time": "2025-08-04 07:34:38", "extra_info": {"tags": ["error_prevention", "context_management", "task_continuity"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9fde73a1fb424750ad617e5d426cfeed", "memory_type": "task", "when_to_use": "When the user wants to add a stock to their watchlist and ensure they have sufficient funds for an upcoming trade.", "content": "The agent first added the requested stock (ZETA) to the user's watchlist, then retrieved its latest details. Upon the user's decision to buy, the agent verified account balance and topped it up via 'fund_account' before confirming the availability of funds for the trade. This sequence ensured smooth execution of the intended transaction without delays or errors.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["stock trading", "account funding", "buy order preparation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_stock_info", "place_order", "fund_account"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f7223edd76a14f998e0ada854af31640", "memory_type": "task", "when_to_use": "When performing financial operations requiring multiple sequential tool calls.", "content": "Each action was seamlessly integrated with observations from previous steps, maintaining coherence in communication while progressively achieving sub-goals (e.g., adding stock → checking info → funding account). Using explicit intermediate responses kept the user informed and built trust throughout the process.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["sequential reasoning", "user feedback integration", "multi-step workflows"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "78e027c10c424dbdbd74e54ce940b92b", "memory_type": "task", "when_to_use": "When the user needs to verify or update their financial resources before executing a trade.", "content": "The agent successfully identified the need to fund the user's account and executed the 'fund_account' function with the correct amount. This ensured sufficient balance for the pending buy order, avoiding potential transaction failures.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["account funding", "trade preparation", "financial readiness"], "confidence": 0.9, "step_type": "action", "tools_used": ["fund_account"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0f3c6801d8eb40dcb12c5e1ec8f8012b", "memory_type": "task", "when_to_use": "When confirming the completion of a financial operation with the user.", "content": "After funding the account, the agent provided clear feedback on the new balance and confirmed the success of the operation. This transparency reassured the user and set the stage for subsequent actions like confirming the buy order.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["user communication", "confirmation", "feedback"], "confidence": 0.85, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a19791b6217a416ebeb11dac2926c6b1", "memory_type": "task", "when_to_use": "When the user needs to unlock multiple doors and ensure they are all unlocked before proceeding with other actions.", "content": "The agent successfully unlocked all specified doors (driver, passenger, rear left, rear right) in one step by calling the 'lockDoors' function with the 'unlock' parameter set to true. This ensured that all doors were accessible without requiring additional steps or repeated checks.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["unlocking", "vehicle", "doors"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f3769261644a42a59a1d9680c1e6f745", "memory_type": "task", "when_to_use": "When starting the engine requires preconditions such as locking doors or pressing the brake pedal.", "content": "The agent encountered a security restriction where all doors needed to be locked before starting the engine. It efficiently addressed this by first locking all doors using the 'lockDoors' function, then ensuring the brake pedal was pressed via 'pressBrakePedal', and finally starting the engine with 'startEngine'. This systematic approach resolved dependencies and achieved the goal effectively.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["engine-start", "preconditions", "systematic-resolution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6ec261380502413884a15b3ee329da9b", "memory_type": "task", "when_to_use": "When setting up cruise control with specific speed and distance parameters.", "content": "After confirming the engine was running, the agent configured the cruise control system with precise settings: 65 mph speed and a 100-meter following distance. Using the 'setCruiseControl' function, it activated the feature in one step, meeting the user's requirements accurately and efficiently.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["cruise-control", "vehicle-settings", "automation"], "confidence": 0.8, "step_type": "action", "tools_used": ["setCruiseControl"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cf6d8c876ab0441f960f99217c38db8a", "memory_type": "task", "when_to_use": "When interacting with vehicle systems that have interdependent safety features (e.g., locking doors before starting the engine).", "content": "Always verify preconditions for actions involving multiple steps, such as ensuring all doors are locked before attempting to start the engine.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_safety"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8f258ba94fe44d749dab6c6d4b7ef621", "memory_type": "task", "when_to_use": "When setting up automated driving features like cruise control that require specific inputs (e.g., speed, distance).", "content": "Double-check parameter units and ensure they align with user expectations (e.g., mph vs. km/h) before executing commands.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["parameter_validation", "unit_conversion", "cruise_control"], "confidence": 0.8, "step_type": "action", "tools_used": ["setCruiseControl"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed1178897a47497683d476ade0cf26ae", "memory_type": "task", "when_to_use": "When troubleshooting errors after an unsuccessful action in a multi-step process.", "content": "After encountering an error, systematically address each condition mentioned in the error message before retrying the operation.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["error_handling", "systematic_troubleshooting", "multi_step_processes"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4250d9c981244a37a721189b0118ae8c", "memory_type": "task", "when_to_use": "When the user requests information about a specific company's stock and related trading details.", "content": "The agent first used 'get_symbol_by_name' to retrieve the stock symbol corresponding to the company name. After obtaining the symbol, it called 'get_stock_info' to fetch detailed trading data such as price, percentage change, volume, and moving averages. This sequential approach ensures accurate and relevant information is provided based on the user query.", "score": 0.0, "time_created": "2025-08-04 07:35:09", "time_modified": "2025-08-04 07:35:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:09", "modified_time": "2025-08-04 07:35:09", "extra_info": {"tags": ["stock_lookup", "sequential_tool_calls", "trading_data"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "726dfaf2562b4daa938b9005c664a42f", "memory_type": "task", "when_to_use": "When the user requests to add all stocks from a specific sector to their watchlist.", "content": "After identifying the relevant stocks using 'get_available_stocks', the agent iteratively added each stock symbol to the watchlist using 'add_to_watchlist'. This pattern of fetching a list and then performing an action on each item ensures comprehensive task completion while maintaining clarity in execution.", "score": 0.0, "time_created": "2025-08-04 07:35:09", "time_modified": "2025-08-04 07:35:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:09", "modified_time": "2025-08-04 07:35:09", "extra_info": {"tags": ["sector_analysis", "batch_processing", "watchlist_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_available_stocks", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "96ef081175af4c4eb72be2cf297ceb02", "memory_type": "task", "when_to_use": "When the user requests multiple sequential actions involving dynamic data retrieval and processing.", "content": "The agent successfully retrieved a list of stock symbols for a specific sector using 'get_available_stocks' and iteratively added each symbol to the watchlist using 'add_to_watchlist'. This demonstrates an effective pattern for handling batch operations when only single-item tools are available. The iterative approach ensured all items were processed sequentially without errors.", "score": 0.0, "time_created": "2025-08-04 07:35:05", "time_modified": "2025-08-04 07:35:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:05", "modified_time": "2025-08-04 07:35:05", "extra_info": {"tags": ["batch_processing", "iterative_action", "sector_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_available_stocks", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f40328eb54c24103b91939be6af78761", "memory_type": "task", "when_to_use": "When needing to confirm task completion with the user after performing multi-step operations.", "content": "After completing the addition of all technology sector stocks to the watchlist, the agent provided a clear summary of the operation, listing each stock and confirming the total count. This confirmation step enhances user trust and clarity, ensuring they are aware that the requested actions were fully executed.", "score": 0.0, "time_created": "2025-08-04 07:35:05", "time_modified": "2025-08-04 07:35:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:05", "modified_time": "2025-08-04 07:35:05", "extra_info": {"tags": ["task_confirmation", "user_communication", "summary"], "confidence": 0.85, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "012bf743bdf542bdb97e15f5348d1878", "memory_type": "task", "when_to_use": "When preparing a vehicle for a long drive, especially after refueling.", "content": "After confirming the fuel tank is full, sequentially check and secure all vehicle systems (doors, parking brake, engine status) before starting the engine. This ensures safety and readiness for the trip. Following this pattern minimizes potential errors, such as attempting to start the engine with unlocked doors or without engaging the parking brake.", "score": 0.0, "time_created": "2025-08-04 07:34:54", "time_modified": "2025-08-04 07:34:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:54", "modified_time": "2025-08-04 07:34:54", "extra_info": {"tags": ["vehicle-readiness", "sequential-checks", "long-drive-prep"], "confidence": 0.9, "step_type": "action", "tools_used": ["fillFuelTank", "lockDoors", "activateParkingBrake", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8d6185a3d3f8453db494ad1d7ea4e573", "memory_type": "task", "when_to_use": "When setting up GPS navigation to a specific destination before a journey.", "content": "After ensuring the vehicle is ready, use the set_navigation tool to input the final destination. Double-check that the address format matches the expected input of the tool to avoid errors. Providing clear feedback about the navigation setup reassures the user and confirms readiness for the trip.", "score": 0.0, "time_created": "2025-08-04 07:34:54", "time_modified": "2025-08-04 07:34:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:54", "modified_time": "2025-08-04 07:34:54", "extra_info": {"tags": ["gps-setup", "address-validation", "journey-preparation"], "confidence": 0.85, "step_type": "action", "tools_used": ["set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c8671001f39747708587fefd773ab01e", "memory_type": "task", "when_to_use": "When interacting with systems that have specific capacity limits (e.g., fuel tanks, account balances).", "content": "Always verify the current state or capacity before attempting to add or modify a resource. Failure to do so can result in errors like exceeding maximum thresholds.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "capacity_validation", "fuel_system"], "confidence": 0.9, "step_type": "action", "tools_used": ["fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7f849a60f99c4b858afc10bcb5332728", "memory_type": "task", "when_to_use": "When performing actions dependent on multiple preconditions (e.g., starting a car engine requires locked doors and engaged parking brakes).", "content": "Ensure all necessary preconditions are met before attempting an action. Skipping this validation step can lead to cascading failures or blocked operations.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "precondition_check", "vehicle_systems"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["startEngine", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97eb19b455544c9e9b3328ecfbb559ff", "memory_type": "task", "when_to_use": "When setting up navigation or similar systems requiring formatted input data.", "content": "Double-check that the input format matches the expected structure of the tool being used. Even small discrepancies in formatting can cause unexpected errors.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "input_validation", "gps_navigation"], "confidence": 0.8, "step_type": "action", "tools_used": ["set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6e44cae0e3514e249f06889d1c2c7e7a", "memory_type": "task", "when_to_use": "When handling multi-step processes involving currency conversions and budget limits.", "content": "Always confirm the required currency format for API parameters before proceeding. Misalignment between user input (e.g., RMB) and system requirements (e.g., USD) can lead to incorrect operations or failed executions.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["error_prevention", "currency_conversion", "budget_limit"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b132ded9ef72481b9b711e3b80ec2e5e", "memory_type": "task", "when_to_use": "When encountering unexpected errors during API calls, especially related to missing or invalid arguments.", "content": "Validate all function arguments against the provided API documentation before execution. For instance, passing an unexpected keyword like 'access_token' to a function that doesn't require it can cause runtime errors.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["error_prevention", "api_validation", "argument_errors"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_all_credit_cards", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cdb54c8aaad946ec8a5ac14fa948ce13", "memory_type": "task", "when_to_use": "When creating support tickets or escalating issues after multiple failed attempts to resolve a problem.", "content": "Ensure proper authentication steps are completed before initiating high-priority actions like ticket creation. Skipping or mismanaging login/authentication can delay issue resolution and create unnecessary complexity.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["authentication", "ticket_management", "escalation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f27ca893f4654bc2b907de983cf41d5d", "memory_type": "task", "when_to_use": "When handling user credentials for multiple systems, ensure the correct system is being authenticated.", "content": "Separate authentication steps for different systems and validate which credentials belong to which system before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "authentication", "system_separation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1706418966a649db93714f7dc73d314a", "memory_type": "task", "when_to_use": "When a function call fails due to unexpected keyword arguments, verify the API documentation or available function signature immediately.", "content": "Mismatched arguments in function calls often arise from assuming incorrect parameter names; cross-check function definitions when errors occur.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_all_credit_cards", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7ff78de2aa9041f3bf46880f14586f23", "memory_type": "task", "when_to_use": "Before initiating actions that depend on prior states (e.g., creating tickets, bookings), confirm prerequisites such as login status or resource availability.", "content": "Always check preconditions like authentication or registration statuses to avoid cascading failures in dependent operations.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "dependency_management", "state_verification"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cdb1c6a7856d4eb0b9834ca3e415d56c", "memory_type": "task", "when_to_use": "When verifying vehicle conditions and planning related actions based on thresholds.", "content": "Always cross-check the threshold values provided by the user with the actual system outputs to ensure accurate interpretation before proceeding with subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a9458ec26485478db6ef016a8874c94f", "memory_type": "task", "when_to_use": "When integrating multiple tools or APIs for a multi-step task involving external systems (e.g., Twitter).", "content": "Ensure that all required parameters for API calls are correctly formatted and fully aligned with the tool specifications, especially when dealing with optional fields like hashtags or mentions.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "api_integration", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f8651ff360d341429497ddfd8c195027", "memory_type": "task", "when_to_use": "When handling user requests involving multiple tasks, ensure each task's requirements are fully understood before proceeding.", "content": "Misinterpreting user instructions can lead to incorrect function calls. Always verify whether optional parameters are necessary based on the explicit details provided by the user.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_instructions"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "551c7bb40c8a4dd8b9f37b5a27597db5", "memory_type": "task", "when_to_use": "When a function has overlapping parameters (e.g., content and tags), confirm whether duplicating information is required or redundant.", "content": "Ambiguity in whether to include hashtags in both content and tags led to potential redundancy. Clarify such cases by revisiting user intent or function documentation.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "parameter_handling", "redundancy"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9d818424a154e21acb4e99f76704384", "memory_type": "task", "when_to_use": "When executing multi-step workflows, cross-check intermediate outputs with the original query to ensure alignment.", "content": "Failure to validate tire pressure results against the threshold specified by the user could have been avoided by explicitly comparing values.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "validation", "workflow_alignment"], "confidence": 0.75, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9e88f7d3acb4ca6899cab4d3fd56bb2", "memory_type": "task", "when_to_use": "When attempting to navigate to a directory and encountering an error that the directory does not exist.", "content": "Before trying to change directories, verify the existence of the target directory using tools like 'find' or 'ls'. This prevents unnecessary errors and provides clarity on available paths.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["error_prevention", "directory_navigation", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "find", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c442ef65bf4342e2878ae665ec09c7ec", "memory_type": "task", "when_to_use": "When performing file operations (e.g., counting lines) in a specific directory that may not exist or is incorrectly referenced.", "content": "Always confirm the current working directory and validate the presence of required files before executing commands. Skipping this can lead to failed operations due to incorrect context.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["file_operations", "context_validation", "error_handling"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["pwd", "ls", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd163f2c9287451fa46a91835941da15", "memory_type": "task", "when_to_use": "When creating new files based on dynamic content (e.g., number of matching lines from a previous operation).", "content": "Double-check the logic for generating filenames and ensure the content to be written matches the intended format. Missteps here can result in improperly named or empty files.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["file_creation", "dynamic_content", "validation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["echo", "grep"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8e31a3ca290b4711a08e58a41b945d24", "memory_type": "task", "when_to_use": "When navigating directories and encountering a 'No such directory' error.", "content": "Always verify the existence of the target directory before attempting to navigate into it. If unsure, use directory listing tools (e.g., `ls`) or create the directory explicitly if necessary.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "directory_navigation", "cd_command"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "ls", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3d84dc6a86184bfe8d1db20cc0adf20a", "memory_type": "task", "when_to_use": "When extracting specific sentences from a file based on user instructions.", "content": "Clarify ambiguous instructions regarding sentence extraction by confirming whether the user intends logical sentences (split by punctuation) or lines in the file. Use precise parsing logic accordingly.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "text_parsing", "grep_usage"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["grep", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b1a74220e2ff49f9bc303cab98113375", "memory_type": "task", "when_to_use": "When creating files named with dynamic content such as line counts.", "content": "Ensure that the dynamic content (e.g., line count) is correctly retrieved and validated before using it as part of a filename. Validate intermediate outputs to avoid incorrect naming.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "file_creation", "dynamic_naming"], "confidence": 0.85, "step_type": "decision", "tools_used": ["wc", "touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b58bf8ff5f37427f92d72abc2ed216bd", "memory_type": "task", "when_to_use": "When an initial attempt to book a flight fails due to incorrect airport codes, and the user's location is provided in city names.", "content": "The agent successfully identified that the initial booking failed because of incorrect airport codes. It then used 'get_nearest_airport_by_city' to resolve the correct IATA codes for departure and arrival cities. This approach ensures accurate inputs for subsequent booking attempts and avoids unnecessary errors.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["booking", "airport_code_resolution", "error_handling"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2d1e03a59d264768b5a21f761251f501", "memory_type": "task", "when_to_use": "When converting currency for financial clarity during international travel planning.", "content": "After retrieving the flight cost in USD, the agent utilized 'compute_exchange_rate' to convert the amount into EUR as per the user’s request. This step ensures transparency and helps users make informed decisions based on their preferred currency reference.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["currency_conversion", "financial_planning", "international_travel"], "confidence": 0.85, "step_type": "action", "tools_used": ["compute_exchange_rate"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1bff9a33b0848c9b37cae5f96901535", "memory_type": "task", "when_to_use": "When encountering API parameter mismatches during service calls like booking flights or purchasing insurance.", "content": "Upon receiving an error indicating unexpected parameters ('travel_cost') in the 'book_flight' function call, the agent removed the invalid parameter and retried with only required fields. This highlights the importance of validating API documentation and adjusting dynamically to ensure successful execution.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["api_error_handling", "parameter_validation", "dynamic_adjustment"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9d362dcff2dd44b4a11c7a5c4c59f34b", "memory_type": "task", "when_to_use": "When handling API calls where specific function parameters are required but not clearly documented or validated beforehand.", "content": "Always validate the expected parameters of a function against its actual implementation to avoid unexpected keyword argument errors. Double-check tool documentation and error responses for hints on correct usage.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_calls", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1edbba26e67f4e5e999782a8f5e77d8c", "memory_type": "task", "when_to_use": "When encountering persistent failures after multiple attempts with the same function call.", "content": "If an action fails repeatedly despite minor adjustments, reassess whether all necessary preconditions have been met (e.g., authentication, correct input formats). Avoid redundant retries without addressing root causes.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "redundant_retries", "root_cause"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1474596c1be4db98325bf36c93e1458", "memory_type": "task", "when_to_use": "When consolidating multi-step processes like booking flights and purchasing insurance into a single output or document.", "content": "Ensure that each step’s outputs are complete before proceeding to consolidate information. Missing details in intermediate steps can lead to incomplete final outputs, requiring additional queries or corrections.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "process_completion", "output_validation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["retrieve_invoice", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8c52156b5efe424ab8618e1f27143f04", "memory_type": "task", "when_to_use": "When the user requests to perform a financial transaction (e.g., withdrawal) and account details are not explicitly provided.", "content": "Before executing the transaction, retrieve account information using `get_account_info` to ensure sufficient balance and obtain necessary details like account ID. Then, use `make_transaction` with the retrieved account ID, ensuring the correct transaction type and amount are applied. This approach ensures accuracy and prevents errors due to missing or incorrect account details.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["account validation", "transaction", "withdrawal"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_account_info", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46ae2e70fdf647598c6e40d93cb110f8", "memory_type": "task", "when_to_use": "When verifying the status of an order after placement to confirm execution progress.", "content": "After placing an order, call `get_order_details` using the generated order ID to check its current status. This provides transparency to the user and ensures the system's actions align with expectations, allowing for timely follow-ups if the order remains pending or encounters issues.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["order tracking", "status verification", "user feedback"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42ea655e3f3c4c9cb3bdd70c5b1f35bb", "memory_type": "task", "when_to_use": "When a user requests stock symbols from a specific sector for investment consideration.", "content": "Use `get_available_stocks` with the specified sector parameter to retrieve a list of relevant stock symbols. Presenting this information promptly allows the user to make informed decisions about potential investments while maintaining engagement with clear, actionable data.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["stock selection", "sector analysis", "investment"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_available_stocks"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c38db3dabf634350b8b33b750f998122", "memory_type": "task", "when_to_use": "When the user requests a transaction that requires account-specific information, such as withdrawals or transfers.", "content": "Always verify and explicitly request any missing account identifiers (e.g., account ID) before proceeding with financial transactions. Assuming session data may lead to errors if the identifier isn't stored or accessible.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "failure_analysis", "account_identification"], "confidence": 0.9, "step_type": "decision", "tools_used": ["make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "94cd9deaf4074c7fac3e39fee3a6983b", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external tools or APIs, especially where authentication and session continuity are critical.", "content": "Ensure that all required parameters for subsequent actions are either explicitly provided by the user or captured during earlier steps in the interaction flow. Missing key details can disrupt workflows and necessitate re-prompting or failing the task.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["workflow_management", "session_continuity", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_order_details", "place_order", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d8d88b8492eb4779aa7b268b0b011a0f", "memory_type": "task", "when_to_use": "When handling multi-step user requests involving authentication and messaging systems.", "content": "Always verify whether the necessary credentials (e.g., passwords) are available before attempting to log in or perform actions requiring authentication. If credentials are missing, clarify with the user before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["error_prevention", "authentication", "user_clarification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b60d303785154031bd52f931423dbc6c", "memory_type": "task", "when_to_use": "When constructing messages or notifications that depend on dynamic data from prior steps.", "content": "Ensure all required dynamic information (e.g., order IDs, balances) is explicitly confirmed or retrieved before incorporating it into a message. Avoid assuming contextual details from earlier interactions without explicit validation.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["error_prevention", "dynamic_data", "message_construction"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_account_info", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "892bbe6582b141f28b59881bc5f4ffcf", "memory_type": "task", "when_to_use": "When managing complex workflows spanning multiple tools or APIs.", "content": "Break down multi-step tasks into smaller, verifiable sub-tasks, ensuring each step's success before proceeding to the next. This minimizes cascading failures caused by incomplete or incorrect prior steps.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["workflow_management", "failure_analysis", "step_validation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_account_info", "message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "28382cb898b043929628708d6a6ad8d4", "memory_type": "task", "when_to_use": "When handling multi-system authentication (e.g., trading system and messaging API) where credentials are required but not explicitly provided by the user.", "content": "Always confirm whether sufficient login credentials or session status have been established before proceeding with dependent actions. If unclear, prompt the user for clarification or necessary inputs to avoid deadlocks.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "authentication", "multi-system"], "confidence": 0.9, "step_type": "decision", "tools_used": ["trading_get_login_status", "message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "158dcde089764242a5ffbfe54b1d980e", "memory_type": "task", "when_to_use": "When composing messages that require dynamic data insertion (e.g., account balances), ensure all variables are validated and correctly formatted before sending.", "content": "Dynamic content generation should include a validation checkpoint to ensure accuracy and prevent malformed outputs. Cross-check values retrieved from tools against expected formats.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "dynamic_content", "message_sending"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_account_info", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "819df7ebc777433c9a892e3245cd338c", "memory_type": "task", "when_to_use": "When managing tools with overlapping functionalities (e.g., trading vs. messaging APIs), clarify which system is responsible for each task to avoid confusion.", "content": "Clearly delineate tool responsibilities in the planning phase to prevent conflating systems. Use explicit checks to verify correct tool usage based on context.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "tool_management", "system_overlap"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["all_tools"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c99a7b76369e459d8df19af78e2ae167", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools or APIs, especially when user instructions evolve mid-execution.", "content": "Always verify that the correct tool is being used for the intended action and ensure alignment between the user's evolving requests and the available functions. Misalignment can lead to incorrect outputs or redundant steps.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["error_prevention", "tool_usage", "task_alignment"], "confidence": 0.85, "step_type": "action", "tools_used": ["grep", "diff", "authenticate_twitter", "post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ffbdda01bcc6420da172e737c29dcabb", "memory_type": "task", "when_to_use": "When a user modifies their request after initial actions have been taken (e.g., adding a comment after posting a tweet).", "content": "After completing an initial task, always confirm with the user whether additional modifications are needed before proceeding further. This avoids unnecessary backtracking or confusion.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["user_clarification", "request_modification", "workflow_optimization"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e043718056174234a45fc587d7c2a3e6", "memory_type": "task", "when_to_use": "When logging or extracting specific data patterns from files for comparative analysis.", "content": "Ensure extracted information is accurate and complete by validating intermediate results (e.g., checking grep output) before proceeding to subsequent steps like comparisons or sharing findings externally.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["data_validation", "intermediate_results", "comparative_analysis"], "confidence": 0.75, "step_type": "observation", "tools_used": ["grep", "diff"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97f478735b32429ea67ab38eef42acc7", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools or APIs, especially when user instructions span multiple actions.", "content": "Always confirm the completion of one action before proceeding to the next, ensuring intermediate outputs align with user expectations.", "score": 0.0, "time_created": "2025-08-04 07:36:05", "time_modified": "2025-08-04 07:36:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:05", "modified_time": "2025-08-04 07:36:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["grep", "diff", "post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "391a37e0470a4156b1c4b5d244ac54a0", "memory_type": "task", "when_to_use": "When a user's request involves combining multiple functionalities (e.g., posting content and adding comments).", "content": "Clarify whether the user expects combined functionality in a single step or sequential steps, as tool limitations might require separating actions explicitly.", "score": 0.0, "time_created": "2025-08-04 07:36:05", "time_modified": "2025-08-04 07:36:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:05", "modified_time": "2025-08-04 07:36:05", "extra_info": {"tags": ["error_prevention", "user_clarity", "tool_limitations"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed536a36874d49388e3bd0f6a39df89b", "memory_type": "task", "when_to_use": "When needing to send a message between two users in a system where login is required.", "content": "The sequence involved logging in as the sender (USR001) using `message_login`, confirming successful login via `login_status`, and then sending the message to the recipient (USR002) using `send_message`. This ensured proper authentication before message delivery, which is crucial for systems requiring user-specific actions.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["user-authentication", "message-sending", "system-login"], "confidence": 0.9, "step_type": "action", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8acc54686d1a4f5eb5a2fcaeb0ba5a9e", "memory_type": "task", "when_to_use": "When verifying the success of an action dependent on prior steps (e.g., login).", "content": "After invoking `message_login` to authenticate USR001, the response's `login_status` was checked to confirm success before proceeding with `send_message`. This decision point ensures that subsequent actions only occur if prerequisites are met, reducing errors and improving reliability.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["decision-making", "error-prevention", "conditional-execution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0bc8aea9286e4873a720e709a25ceefc", "memory_type": "task", "when_to_use": "When attempting to locate and copy files within nested directories.", "content": "Always verify the exact file path before executing commands like `cp` or `mv`. Misunderstanding directory nesting can lead to repeated failures. Use tools like `find` or additional `ls` calls to confirm paths when initial attempts fail.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "file_operations", "path_verification"], "confidence": 0.9, "step_type": "action", "tools_used": ["ls", "find", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9bd02c97e3ff46158243cc73a908cd2f", "memory_type": "task", "when_to_use": "When encountering persistent errors during a multi-step process.", "content": "Break down each step explicitly, ensuring all prerequisites are met (e.g., directory existence, login status). Skipping implicit checks can compound issues later in the sequence.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "multi_step_processes", "prerequisite_checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7e3f2bfda1f8417484cfbb36fcac4fe7", "memory_type": "task", "when_to_use": "When handling user-provided instructions that involve authentication steps.", "content": "Explicitly confirm whether credentials or preconditions (like login states) need verification before proceeding with subsequent actions. Ambiguity here often leads to incorrect assumptions and failed executions.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "authentication", "user_instructions"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "92686286d3454c1cb94090c6adb21cd8", "memory_type": "task", "when_to_use": "When handling user requests involving specific identifiers (e.g., booking ID, order ID), and the user hasn't provided them.", "content": "Always verify the availability of critical identifiers early in the interaction. If missing, guide the user explicitly on how to retrieve or provide them before proceeding with actions that depend on those identifiers.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "identifier_verification", "user_guidance"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f89526fb2c9e48e3a1df8fa03ca26b30", "memory_type": "task", "when_to_use": "When an API call fails due to invalid or missing parameters, such as a 'Booking not found' error.", "content": "Cross-check all required inputs with the user before making API calls. If an error occurs, immediately prompt for clarification or alternative information instead of continuing with incomplete data.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_handling", "api_validation", "input_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4a0138951c904a0ab250824f115914d8", "memory_type": "task", "when_to_use": "When escalating issues to customer support or creating formal complaints without resolving underlying problems.", "content": "Ensure all possible internal solutions are exhausted before escalating issues. Provide clear instructions to users on gathering necessary details to resolve their issue effectively.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["escalation_prevention", "customer_support", "issue_resolution"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5b022dda18b4d2eae7a80721b48cccd", "memory_type": "task", "when_to_use": "When handling user requests for cancellations or modifications of bookings.", "content": "Always verify and request essential details like booking IDs before proceeding with actions that require them. Missing critical inputs can stall progress and frustrate users further.", "score": 0.0, "time_created": "2025-08-04 07:36:18", "time_modified": "2025-08-04 07:36:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:18", "modified_time": "2025-08-04 07:36:18", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_input_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "62f37dfe0acb4e8580ebb9fc9c9f30b1", "memory_type": "task", "when_to_use": "When escalating issues to customer support or creating formal complaints on behalf of the user.", "content": "Ensure all prior steps, including authentication and gathering necessary context (e.g., descriptions or IDs), are completed before initiating escalation processes. Skipping these can lead to failed attempts and wasted effort.", "score": 0.0, "time_created": "2025-08-04 07:36:18", "time_modified": "2025-08-04 07:36:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:18", "modified_time": "2025-08-04 07:36:18", "extra_info": {"tags": ["error_prevention", "failure_analysis", "escalation_process"], "confidence": 0.85, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "016e2a0905344476919f80c47f086152", "memory_type": "task", "when_to_use": "When determining the current market status to inform trading decisions.", "content": "The agent first used 'update_market_status' and 'get_current_time' to check if the market was open. This two-step verification ensured accuracy, combining time-based status updates with real-time confirmation, providing reliable guidance for subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["market-status", "time-verification", "trading-readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["update_market_status", "get_current_time"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fed78424949e4beaa50e5ac79ec75ffb", "memory_type": "task", "when_to_use": "When placing an order after confirming stock details and ensuring alignment with user intent.", "content": "Before placing a buy order, the agent retrieved detailed stock information using 'get_stock_info'. This ensured the user was fully informed about price, volume, and trends, leading to a confident decision to proceed with 'place_order'. The sequential validation minimized risks of misinformed trades.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["stock-validation", "order-placement", "user-alignment"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d65ead8f11324e8b88f1885a07ba9975", "memory_type": "task", "when_to_use": "When a user requests cancellation of a pending order.", "content": "Upon receiving a cancellation request, the agent promptly called 'cancel_order' with the correct order ID. This immediate action prevented further processing of the unwanted trade, showcasing the importance of responsive and accurate tool usage in dynamic environments like stock trading.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["order-cancellation", "responsiveness", "user-control"], "confidence": 0.88, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "730cbeabae6b42a98bce2b396ec6236a", "memory_type": "task", "when_to_use": "When handling stock trades, especially in volatile conditions where users might change their minds frequently.", "content": "Always confirm the status of an order (e.g., 'Pending', 'Open') before attempting cancellation to avoid redundant actions or errors.", "score": 0.0, "time_created": "2025-08-04 07:36:26", "time_modified": "2025-08-04 07:36:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:26", "modified_time": "2025-08-04 07:36:26", "extra_info": {"tags": ["error_prevention", "failure_analysis", "order_cancellation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "87d6a46a008e4cdda556fb10b7db400a", "memory_type": "task", "when_to_use": "When interacting with financial tools that involve multiple sequential steps such as placing and canceling orders.", "content": "Maintain clear communication with the user after each step to ensure alignment with their intentions and prevent premature actions like canceling orders unnecessarily.", "score": 0.0, "time_created": "2025-08-04 07:36:26", "time_modified": "2025-08-04 07:36:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:26", "modified_time": "2025-08-04 07:36:26", "extra_info": {"tags": ["error_prevention", "user_communication", "sequential_steps"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "af7cc591abf741c9975a080fae1d4deb", "memory_type": "task", "when_to_use": "When the user requests to add a stock to their watchlist and requires confirmation with details.", "content": "The sequence started by identifying the stock symbol using 'get_symbol_by_name', then added it via 'add_to_watchlist'. Afterward, the agent retrieved the updated watchlist using 'get_watchlist' to confirm the addition. This ensured accuracy and user satisfaction by providing immediate feedback.", "score": 0.0, "time_created": "2025-08-04 07:36:43", "time_modified": "2025-08-04 07:36:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:43", "modified_time": "2025-08-04 07:36:43", "extra_info": {"tags": ["stock", "watchlist", "confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32043acbde304ebda3a4767b8119b646", "memory_type": "task", "when_to_use": "When the user needs detailed information about multiple items (e.g., stocks) in a list.", "content": "After confirming the watchlist update, the agent iteratively called 'get_stock_info' for each stock symbol (NVDA and QUAS). It structured the responses into an easily digestible format highlighting key metrics like price, percent change, volume, and moving averages. This approach provided comprehensive yet clear insights tailored to the user’s request.", "score": 0.0, "time_created": "2025-08-04 07:36:43", "time_modified": "2025-08-04 07:36:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:43", "modified_time": "2025-08-04 07:36:43", "extra_info": {"tags": ["details", "iterative", "stock-info"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "959d951d0afe4c92bf674056811ce478", "memory_type": "task", "when_to_use": "When handling user requests involving stock symbols derived from company names.", "content": "Always verify the output of functions like 'get_symbol_by_name' before proceeding with subsequent actions, ensuring the symbol is valid and matches expectations.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "symbol_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_symbol_by_name"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ea9afe8650a4320a246e5dd7fd7587b", "memory_type": "task", "when_to_use": "When presenting detailed information about multiple items (e.g., stocks) to users.", "content": "Batch process all required data retrievals first, then compile responses into a cohesive, well-structured format for clarity and completeness.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_presentation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f9c03cb506e54e778a2a9a7d171f04b8", "memory_type": "task", "when_to_use": "When verifying traveler information is required before proceeding with booking-related tasks.", "content": "The agent successfully used the 'verify_traveler_information' tool to validate the user's details early in the process. This ensured accuracy and compliance, setting a solid foundation for subsequent steps like flight booking or cancellations.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["travel_verification", "initial_validation", "booking_preparation"], "confidence": 0.9, "step_type": "action", "tools_used": ["verify_traveler_information"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a95f40bb5f6844f28426ac8966f679be", "memory_type": "task", "when_to_use": "When handling dynamic location inputs (e.g., city names) that need mapping to standardized airport codes.", "content": "The agent utilized the 'get_nearest_airport_by_city' tool twice—once for departure and once for arrival locations—to convert user-provided city names into valid IATA airport codes. This approach ensures compatibility with downstream tools requiring precise formatting.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["location_mapping", "airport_code_conversion", "dynamic_input_handling"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "023dfbb115784aa286214ddbd073eb98", "memory_type": "task", "when_to_use": "When canceling a confirmed booking due to changes in user plans.", "content": "Upon receiving updated instructions from the user, the agent promptly invoked the 'cancel_booking' tool using previously stored access tokens and booking IDs. The clear adherence to cancellation protocols resulted in a seamless resolution without errors.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["booking_cancellation", "user_request_adaptation", "error-free_execution"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42f12e5fcf684647ab4ec2402d0c18b8", "memory_type": "task", "when_to_use": "When encountering persistent parameter-related errors during API calls despite matching the documented parameters.", "content": "Verify and cross-check the actual API behavior with its documentation, as discrepancies may exist due to outdated or incorrect tool descriptions. Consider testing alternative parameter names or consulting support for clarification.", "score": 0.0, "time_created": "2025-08-04 07:36:48", "time_modified": "2025-08-04 07:36:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:48", "modified_time": "2025-08-04 07:36:48", "extra_info": {"tags": ["error_prevention", "api_mismatch", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "09688835ebd24f9bba51ae79b54ab31f", "memory_type": "task", "when_to_use": "When attempting to cancel a booking but no valid booking ID exists due to prior booking failures.", "content": "Ensure that critical operations like cancellations are only attempted if prior steps (e.g., booking) were successfully completed and relevant identifiers (e.g., booking ID) were generated. Communicate clearly with the user about the status of previous steps.", "score": 0.0, "time_created": "2025-08-04 07:36:48", "time_modified": "2025-08-04 07:36:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:48", "modified_time": "2025-08-04 07:36:48", "extra_info": {"tags": ["error_prevention", "booking_failure", "user_communication"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0e6e82e075d7458cb774ef68ae4d4098", "memory_type": "task", "when_to_use": "When needing to delete a message but encountering parameter mismatches in the API call.", "content": "The agent initially attempted to delete a specific message using both receiver_id and message_id, but encountered an error due to an unexpected keyword argument. Upon retrying with only the required 'receiver_id', the deletion succeeded, removing the latest message for that user. This approach highlights the importance of verifying tool definitions against actual function behavior when discrepancies arise.", "score": 0.0, "time_created": "2025-08-04 07:36:56", "time_modified": "2025-08-04 07:36:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:56", "modified_time": "2025-08-04 07:36:56", "extra_info": {"tags": ["message deletion", "API mismatch", "parameter validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d7de25115fe043428adb7d82de6a1c83", "memory_type": "task", "when_to_use": "When executing stock purchase orders and notifying stakeholders.", "content": "After successfully placing a buy order for 150 shares of Synex Solutions (SYNX), the agent sent a confirmation message to a colleague. Although the message had to be retracted later, this step sequence demonstrated a clear flow of actions: retrieving stock data, placing an order, confirming it via messaging, and handling corrections efficiently. The structured use of tools ensured clarity and precision throughout.", "score": 0.0, "time_created": "2025-08-04 07:36:56", "time_modified": "2025-08-04 07:36:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:56", "modified_time": "2025-08-04 07:36:56", "extra_info": {"tags": ["stock trading", "order execution", "messaging"], "confidence": 0.85, "step_type": "sequence", "tools_used": ["get_stock_info", "place_order", "send_message", "delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae6f9337e07044c0858647f17a34819f", "memory_type": "task", "when_to_use": "When attempting to delete a specific message using an API function.", "content": "Always verify the exact parameter names and types expected by the API function, even if the tool definition suggests otherwise. An unexpected keyword argument error may indicate a mismatch between documented and actual function parameters.", "score": 0.0, "time_created": "2025-08-04 07:36:44", "time_modified": "2025-08-04 07:36:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:44", "modified_time": "2025-08-04 07:36:44", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d62787a6ae6e42acb5b14f6480f8b4a6", "memory_type": "task", "when_to_use": "When encountering an error related to unexpected arguments in a function call.", "content": "Double-check whether required or optional parameters have changed in the function implementation compared to its documentation. If unsure, try calling the function without optional parameters to see if it resolves the issue.", "score": 0.0, "time_created": "2025-08-04 07:36:44", "time_modified": "2025-08-04 07:36:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:44", "modified_time": "2025-08-04 07:36:44", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_mismatch"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8bc85fdfa586429daf8a1eb04e671513", "memory_type": "task", "when_to_use": "When drafting messages to customer support or external parties based on user instructions.", "content": "Always cross-check that all explicitly requested details (e.g., reference IDs, user IDs, and specific phrasing) are included verbatim in the final output to avoid omissions.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "communication", "customer_support"], "confidence": 0.9, "step_type": "action", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1731aa071814cc09ff17d5cb773f541", "memory_type": "task", "when_to_use": "When integrating new tools or functions into a workflow with predefined user expectations.", "content": "Ensure alignment between tool outputs and user-provided reference systems (e.g., internal vs. external IDs) to prevent mismatches or confusion.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "tool_integration", "reference_systems"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b53880394812464c9403fa451205362f", "memory_type": "task", "when_to_use": "When executing multi-step processes involving financial transactions or critical confirmations.", "content": "Explicitly confirm intermediate outputs (e.g., order IDs, prices) against user expectations before proceeding to subsequent steps like drafting confirmation notes.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "transaction_validation", "multi_step_process"], "confidence": 0.85, "step_type": "decision", "tools_used": ["place_order", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "552de4a1366b4ded945193fbf44e575a", "memory_type": "task", "when_to_use": "When needing to send a message or confirm order details with an external party such as customer service.", "content": "Ensure that the receiver_id corresponds to the correct recipient's user ID before sending messages. If the recipient's user ID is not explicitly provided, clarify it with the user rather than assuming based on available identifiers like reference IDs.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "receiver_id_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d0c36559f3d6457ca8d18e2f4adca5c1", "memory_type": "task", "when_to_use": "When handling tasks involving multiple IDs (e.g., user ID, reference ID) in function calls.", "content": "Double-check that each identifier used in API/tool calls matches its intended purpose; mismatching these can lead to incorrect actions being taken, even if the rest of the logic appears sound.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "ID_matching"], "confidence": 0.8, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e03f6854e9384bd390304db659d7a72a", "memory_type": "task", "when_to_use": "When constructing and sending important communications such as order confirmations or requests for verification.", "content": "Always validate that all required placeholders (like names, IDs, stock details) have been correctly inserted into the final communication to avoid incomplete or confusing messages.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "message_validation"], "confidence": 0.75, "step_type": "reasoning", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "984a04b0487a4aa6a9c1262ed898d84f", "memory_type": "task", "when_to_use": "When a user needs to submit a formal complaint or ticket after an issue occurs.", "content": "The agent first authenticated the user via `ticket_login` using provided credentials. After successful login, it created a ticket with `create_ticket`, including the title and detailed description of the issue. This sequence ensures proper authentication before submitting the complaint, reducing the risk of unauthorized access or failed submissions.", "score": 0.0, "time_created": "2025-08-04 07:37:08", "time_modified": "2025-08-04 07:37:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:08", "modified_time": "2025-08-04 07:37:08", "extra_info": {"tags": ["complaint-handling", "authentication", "ticket-creation"], "confidence": 0.9, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f60315fdce4f413fa91716608a84c44a", "memory_type": "task", "when_to_use": "When handling cancellations and follow-up actions such as refunds or rebooking.", "content": "After confirming the cancellation status with `cancel_booking`, the agent proactively offered assistance for next steps like refunds or alternative arrangements. This approach maintains user trust by addressing potential concerns immediately and providing clear options.", "score": 0.0, "time_created": "2025-08-04 07:37:08", "time_modified": "2025-08-04 07:37:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:08", "modified_time": "2025-08-04 07:37:08", "extra_info": {"tags": ["cancellation-handling", "proactive-support", "user-trust"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9e3a564329554101a2bf33dbc2be806a", "memory_type": "task", "when_to_use": "When handling user credentials for authentication in a multi-step process.", "content": "Always verify if the user is authenticated before proceeding with actions that require login. If not authenticated, explicitly log in using provided credentials before continuing.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "authentication", "user_credentials"], "confidence": 0.9, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36413cd579d54aa3bd7b32fda9c2946b", "memory_type": "task", "when_to_use": "When an API call fails due to unexpected arguments or parameters.", "content": "Double-check the required and optional parameters of a function before calling it. Ensure all provided arguments match the expected format and no extra parameters are included.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46038fcfd6664def979865dfa4765623", "memory_type": "task", "when_to_use": "When submitting complaints or formal requests on behalf of users.", "content": "Break down the submission process into clear steps: authenticate, validate input, submit, and confirm submission. Communicate each step's status to the user to avoid confusion.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "user_communication", "process_clarity"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5e8ed3c2caa4d2d8077cc11a970a0c6", "memory_type": "task", "when_to_use": "When attempting to post a tweet and the user provides login credentials explicitly.", "content": "Always authenticate the user before performing actions that require authentication, even if the user assumes the system is already authenticated. Ensure tools requiring separate authentication steps are handled sequentially.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_prevention", "authentication", "twitter_api"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42bf07580d4a41e6838f3923fb3bdb5a", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external systems (e.g., flight bookings, social media posts).", "content": "Verify all prerequisite steps are completed successfully before proceeding to subsequent actions. For example, ensure a booking ID exists before attempting cancellation or invoice retrieval.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_prevention", "multi_step_process", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7a1729d8e9274c918299d6a362e0d753", "memory_type": "task", "when_to_use": "When dealing with travel-related queries and encountering route unavailability errors.", "content": "If no available routes are found for a specific date, always suggest alternative dates or nearby airports to provide actionable options rather than stopping at an error message.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_handling", "travel_booking", "user_experience"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "999a8639ecf64a6faf1d189609dfef17", "memory_type": "task", "when_to_use": "When attempting to use a function that requires authentication, ensure that the user is authenticated beforehand.", "content": "Always verify if an authentication step is required before executing functions that depend on it. If credentials are provided but not directly used by the function, execute an explicit authentication step first.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication", "function_dependencies"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed3e7ef6f22048298b754b63ce4f52d5", "memory_type": "task", "when_to_use": "When handling unexpected keyword arguments in function calls, validate parameter expectations against tool documentation.", "content": "Mismatched or unexpected parameters can lead to execution errors. Always cross-check the expected arguments for each function against its definition in the tools list before calling it.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation", "tool_usage"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4c9fd67106854ccca73bcc04d86a244a", "memory_type": "task", "when_to_use": "When escalating issues to customer support, confirm prior attempts and specify clear context in the message.", "content": "To expedite resolution, ensure all relevant details (e.g., booking ID, previous actions) are included when contacting customer support, and verify no prior unresolved requests exist.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "customer_support", "escalation"], "confidence": 0.75, "step_type": "decision", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "641d2260f7d646759e6ba06cb3a478d4", "memory_type": "task", "when_to_use": "When needing to cancel an order and confirm its status for the user.", "content": "After placing an order, if the user requests cancellation, first use 'get_order_details' to verify the order's current state, then call 'cancel_order' with the correct order_id. This ensures the action is error-free and aligns with user intent. Confirming the cancellation status reassures the user.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["order management", "cancellation", "user confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "322aa5ca971443cf87578fc45f940b99", "memory_type": "task", "when_to_use": "When determining whether the market is open or closed before initiating trades.", "content": "Use 'get_current_time' followed by 'update_market_status' to check the market's operational status. This sequence helps prevent invalid trade attempts during non-operational hours and sets context for subsequent trading actions.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["market status", "time-based decision", "pre-trade checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_current_time", "update_market_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7b725041fbb64ab385346bf470a75643", "memory_type": "task", "when_to_use": "When purchasing shares at the current market price.", "content": "Retrieve real-time stock information using 'get_stock_info', then place an order via 'place_order' with the latest price data. This ensures accuracy and avoids discrepancies caused by outdated pricing, improving execution reliability.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["stock purchase", "real-time data", "trade execution"], "confidence": 0.88, "step_type": "action", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "df6acc658b4c47b883fe5106148dadb9", "memory_type": "task", "when_to_use": "When needing to cancel a stock order immediately after placing it due to potential errors or changes in strategy.", "content": "The sequence involved reviewing the placed order details for accuracy, then using the 'cancel_order' function with the correct 'order_id'. This ensured that the cancellation was processed promptly and accurately. The confirmation response verified successful cancellation, allowing for quick corrective actions if needed.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["stock trading", "order management", "error correction"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "027200504d024f17982ac9e07b940ad2", "memory_type": "task", "when_to_use": "When monitoring market status before making financial decisions like purchasing stocks.", "content": "The agent first checked the current time and updated the market status to confirm whether the market was open. This step ensured that subsequent actions (like buying shares) were aligned with real-time market conditions, reducing the risk of executing trades during non-optimal times.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["market analysis", "time-sensitive operations", "pre-trade checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_current_time", "update_market_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "52e5afb6a65d408aa68e036a9436e4d7", "memory_type": "task", "when_to_use": "When the user requests to resolve a support ticket with specific details.", "content": "The agent successfully resolved a support ticket by first retrieving the open ticket details using `get_user_tickets`, then confirming resolution specifics with the user, and finally executing the `resolve_ticket` function with the appropriate ticket ID and resolution description. This ensured clarity in communication and precise execution of the user's request.", "score": 0.0, "time_created": "2025-08-04 07:37:47", "time_modified": "2025-08-04 07:37:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:47", "modified_time": "2025-08-04 07:37:47", "extra_info": {"tags": ["ticket resolution", "user request handling", "support system"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_user_tickets", "resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "699c5fa5f3a44186b24b05920b2f8682", "memory_type": "task", "when_to_use": "When managing stock trading operations, including order placement and status updates.", "content": "The agent efficiently handled a stock purchase request by first retrieving the stock's current information via `get_stock_info`, placing an order using `place_order`, and subsequently fetching detailed order status through `get_order_details`. This sequence provided the user with real-time updates and clear confirmation of their financial transaction.", "score": 0.0, "time_created": "2025-08-04 07:37:47", "time_modified": "2025-08-04 07:37:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:47", "modified_time": "2025-08-04 07:37:47", "extra_info": {"tags": ["stock trading", "order management", "financial tracking"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info", "place_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1e036f02ce7040998ecfb20f6637fb8c", "memory_type": "task", "when_to_use": "When handling requests to modify or confirm the status of specific entities (e.g., tickets, orders), ensure all necessary identifiers are provided before proceeding.", "content": "Always verify that sufficient context, such as unique IDs or sufficient details, is available before attempting operations that modify system states. If not available, guide the user explicitly on how to retrieve or provide the missing information.", "score": 0.0, "time_created": "2025-08-04 07:37:38", "time_modified": "2025-08-04 07:37:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:38", "modified_time": "2025-08-04 07:37:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_communication"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c3efec332140472c91e1cb3635f1341a", "memory_type": "task", "when_to_use": "When a user attempts an action contingent on prior steps (e.g., resolving a ticket), ensure those steps have been successfully completed and referenced.", "content": "Break down multi-step processes clearly and confirm completion of each prerequisite step before moving forward. This avoids situations where the system assumes context that hasn't been established.", "score": 0.0, "time_created": "2025-08-04 07:37:38", "time_modified": "2025-08-04 07:37:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:38", "modified_time": "2025-08-04 07:37:38", "extra_info": {"tags": ["error_prevention", "context_management", "process_flow"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2d3f7aa3e445477bb464f003f97e5262", "memory_type": "task", "when_to_use": "When attempting to cancel a booking and ensure a refund, verify if all associated costs (e.g., insurance) are automatically refunded or require separate cancellation.", "content": "Always confirm the scope of cancellations for ancillary services like insurance before assuming full refunds. Missing this can lead to incomplete resolution of user requests.", "score": 0.0, "time_created": "2025-08-04 07:37:48", "time_modified": "2025-08-04 07:37:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:48", "modified_time": "2025-08-04 07:37:48", "extra_info": {"tags": ["error_prevention", "failure_analysis", "refund_handling", "booking_cancellation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f59314604f264a5684dc716aa19bc0a2", "memory_type": "task", "when_to_use": "When executing multi-step processes involving financial transactions, ensure there is a function to track or confirm the final status of refunds or credits.", "content": "Lack of visibility into refund processing can leave users uncertain about the resolution. Always use tools that provide confirmation of financial adjustments.", "score": 0.0, "time_created": "2025-08-04 07:37:48", "time_modified": "2025-08-04 07:37:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:48", "modified_time": "2025-08-04 07:37:48", "extra_info": {"tags": ["error_prevention", "failure_analysis", "refund_tracking", "financial_confirmation"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_credit_card_balance", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e750cba39dc948e4854875ad39e8bc73", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external tools or APIs where intermediate errors may occur.", "content": "Always validate the success of intermediate steps before proceeding to subsequent actions. For instance, after canceling a booking, confirm its status before initiating follow-up actions like refunds or support requests.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation", "intermediate_steps"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c9bbcbee443948eb8b6023e10abab89b", "memory_type": "task", "when_to_use": "When encountering 'entity not found' errors during API calls after prior operations were marked successful.", "content": "Cross-check identifiers (e.g., booking IDs) and re-verify the state of the entity in question using an appropriate query function before escalating issues or retrying operations.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["error_prevention", "failure_analysis", "identifier_validation", "state_verification"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36a6c9f8297c4d7ea6ff8d485ba9866d", "memory_type": "task", "when_to_use": "When designing workflows that involve financial transactions or irreversible actions such as cancellations.", "content": "Implement fallback mechanisms or checkpoints to ensure users can recover from errors gracefully, especially when dealing with critical tasks like refunds or cancellations.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["workflow_design", "error_recovery", "financial_transactions", "fallback_mechanisms"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b5c8b19ff9842acbaa2fb857dd5feb5", "memory_type": "task", "when_to_use": "When determining the nearest airport to a user's location for travel planning.", "content": "The agent successfully identified the nearest airport by using the 'get_nearest_airport_by_city' function with the user's specified location. This approach ensures accurate mapping of cities to their respective airport codes, enabling precise flight cost calculations later.", "score": 0.0, "time_created": "2025-08-04 07:38:48", "time_modified": "2025-08-04 07:38:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:48", "modified_time": "2025-08-04 07:38:48", "extra_info": {"tags": ["nearest airport", "travel planning", "location-based decision"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aa2e9243d5984bff906c1ff6f0875a32", "memory_type": "task", "when_to_use": "When calculating flight costs between two locations based on specific dates and class preferences.", "content": "After identifying the departure and arrival airport codes (CRH and PHV), the agent called 'get_flight_cost' with the correct parameters (dates and business class). This ensured the response directly addressed the user’s query about trip expenses, demonstrating effective chaining of tools for complex queries.", "score": 0.0, "time_created": "2025-08-04 07:38:48", "time_modified": "2025-08-04 07:38:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:48", "modified_time": "2025-08-04 07:38:48", "extra_info": {"tags": ["flight cost", "business class", "date-specific query"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "899fa817696f4528a2adbcaf54003ad3", "memory_type": "task", "when_to_use": "When handling user queries requiring specific data formats (e.g., IATA airport codes), ensure the input conforms to expected standards before proceeding.", "content": "Always validate that required parameters for API functions are available and correctly formatted before execution. Missing or incorrect data can lead to failed function calls.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["error_prevention", "data_validation", "function_parameters"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ead92d08d7914b52908ec7953dbd9e10", "memory_type": "task", "when_to_use": "When a query involves ambiguous or incomplete information (e.g., destination names without corresponding IATA codes), attempt clarification or request additional details.", "content": "Ambiguities in user input should be resolved early to avoid downstream errors. Proceeding without clarification risks misinterpretation and task failure.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["error_prevention", "user_clarification", "input_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fe1aa05e666d47ec87029a171417f183", "memory_type": "task", "when_to_use": "If tools lack functionality to map between related data types (e.g., city names to airport codes), flag this as a system limitation and adapt by seeking alternative approaches.", "content": "Identify gaps in tool capabilities during planning stages to prevent reliance on unavailable functionalities. Proactively address such limitations with workarounds or user feedback requests.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["tool_limitations", "failure_analysis", "workaround_strategy"], "confidence": 0.8, "step_type": "action", "tools_used": ["list_all_airports", "get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6f04d4436a3e478db1c68176256e512c", "memory_type": "task", "when_to_use": "When encountering a multi-step task requiring sequential problem-solving with dependencies between steps.", "content": "The agent successfully navigated a complex sequence of actions by addressing preconditions (e.g., locking doors, pressing the brake pedal) before attempting to start the engine. This demonstrates the importance of identifying and resolving prerequisites in a logical order to achieve the desired outcome.", "score": 0.0, "time_created": "2025-08-04 07:40:03", "time_modified": "2025-08-04 07:40:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:03", "modified_time": "2025-08-04 07:40:03", "extra_info": {"tags": ["sequential tasks", "preconditions", "logical order"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "69bb5e6543744f74a01b5aea8faa91fd", "memory_type": "task", "when_to_use": "When verifying system states or confirming issue resolution before closing tickets or concluding tasks.", "content": "The agent confirmed the tire pressure issue was resolved and then closed the associated ticket, ensuring no unresolved issues remained. This highlights the value of cross-checking resolutions and updating task statuses systematically.", "score": 0.0, "time_created": "2025-08-04 07:40:03", "time_modified": "2025-08-04 07:40:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:03", "modified_time": "2025-08-04 07:40:03", "extra_info": {"tags": ["verification", "closure", "systematic updates"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4f157fbe1c6b4e6f9613c7860a93e79f", "memory_type": "task", "when_to_use": "When attempting to start a vehicle's engine, ensure all doors are locked beforehand.", "content": "Always verify door lock status before starting the engine to avoid operational errors or warnings.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "vehicle_operations", "door_locks"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "77ca0a9d17bb4920a8f455e49f67799c", "memory_type": "task", "when_to_use": "When a user reports an issue with tire pressure but the system confirms healthy levels, cross-check for other potential causes.", "content": "A discrepancy between reported issues and system diagnostics may indicate underlying problems not captured by standard checks.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["failure_analysis", "tire_pressure", "diagnostics"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "19b133c08a754d80aa81d2171569295a", "memory_type": "task", "when_to_use": "Before closing a service ticket, confirm that all related actions (e.g., diagnostics, repairs) have been documented and resolved.", "content": "Closing tickets prematurely without thorough resolution can lead to unresolved issues resurfacing later.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["ticket_management", "resolution_verification", "error_prevention"], "confidence": 0.85, "step_type": "decision", "tools_used": ["close_ticket", "get_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b88f5e7b76cc4cf9b944bed6e96c0b95", "memory_type": "task", "when_to_use": "When switching between different APIs or systems, such as from a trading system to a messaging system.", "content": "Always verify the required parameters and available functions in the new API context before proceeding. Missing or mismatched arguments can lead to execution errors.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "API_switching", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7ace751ad34a4888875aa92d07a15ab2", "memory_type": "task", "when_to_use": "When encountering unexpected keyword arguments during function calls.", "content": "Double-check the function signature for exact parameter names and ensure no extra or misnamed arguments are passed. This prevents runtime errors due to argument mismatches.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "argument_validation", "function_call"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "15f511e969f94761888db7209fc460e3", "memory_type": "task", "when_to_use": "After sending a message or performing an action that requires confirmation of success.", "content": "Use verification functions like 'view_messages_sent' or similar tools to confirm the successful transmission or completion of the task. This ensures the intended action was executed without issues.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["confirmation_check", "message_verification", "post_action_validation"], "confidence": 0.8, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9c16cca4ce5249f1b1251842ab886e82", "memory_type": "task", "when_to_use": "When preparing to book a flight, ensure all required parameters align with the function's expected inputs.", "content": "Mismatched or unexpected parameters can cause execution errors. Always cross-check parameter requirements against tool documentation before calling functions.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "parameter_validation", "function_call"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a986edb1fc0c4ae8adf99cf62d684d9b", "memory_type": "task", "when_to_use": "After sending a message or performing a critical action, verify its success by checking relevant outputs or logs.", "content": "Always confirm that an operation has completed successfully by reviewing feedback or follow-up data. This ensures no steps are missed and builds user trust.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "confirmation_check", "message_handling"], "confidence": 0.85, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cb55e73f9c9c498ca510196e501b3eba", "memory_type": "task", "when_to_use": "When encountering an error during execution, analyze whether it stems from incorrect input formatting or missing fields.", "content": "Many runtime errors occur due to improperly formatted arguments. Validate input structures (e.g., dates, IDs) early in the process to prevent downstream issues.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "input_validation", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e469e808e64e426ab5d9689464abc944", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error during a function call.", "content": "Verify the exact parameter names in the API documentation or implementation, as discrepancies between documented and actual parameter names can lead to failures. If unsure, test with minimal required parameters before including optional ones.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5f59965b79d4692858f424fb14738c4", "memory_type": "task", "when_to_use": "When attempting to resolve booking-related tasks without a valid booking ID.", "content": "Always confirm that prerequisite actions (e.g., successful booking) are completed and relevant IDs are available before proceeding with dependent tasks like cancellations or invoice retrieval.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["failure_analysis", "dependency_management", "booking_workflow"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "70e2c839b9ec487c9fc9eb55b80cb5b1", "memory_type": "task", "when_to_use": "When handling user requests involving multiple system interactions.", "content": "Break down complex workflows into smaller, verifiable steps, ensuring each step's success before proceeding to avoid cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["workflow_design", "error_prevention", "step_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_flight_cost", "get_credit_card_balance", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ed1e0ad06dc497fbb4c9b1ade042668", "memory_type": "task", "when_to_use": "When attempting to delete a specific message using an API function with unclear or conflicting parameter requirements.", "content": "If the tool definition conflicts with the actual function behavior (e.g., unexpected keyword argument errors), try omitting optional parameters and rely on default behaviors, such as deleting the latest message when no explicit ID is provided.", "score": 0.0, "time_created": "2025-08-04 07:39:59", "time_modified": "2025-08-04 07:39:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:59", "modified_time": "2025-08-04 07:39:59", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_mismatch"], "confidence": 0.85, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "661c4e065174450494a6bf101840ee45", "memory_type": "task", "when_to_use": "When encountering persistent errors despite adhering to documented API specifications.", "content": "Verify whether the issue stems from incorrect parameter names, missing required fields not listed in the documentation, or implicit assumptions about the API's functionality. Cross-check with alternative approaches if available.", "score": 0.0, "time_created": "2025-08-04 07:39:59", "time_modified": "2025-08-04 07:39:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:59", "modified_time": "2025-08-04 07:39:59", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4a425c2659dc40419a28cb7013605345", "memory_type": "task", "when_to_use": "When needing to authenticate and perform an action requiring user credentials (e.g., posting on social media).", "content": "The agent first authenticated the user with the provided credentials using 'authenticate_twitter', ensuring login success before proceeding. It then posted the tweet with mentions and tags, adhering strictly to the user's instructions. This sequential approach—authenticating before acting—ensured a smooth flow without authorization errors.", "score": 0.0, "time_created": "2025-08-04 07:39:57", "time_modified": "2025-08-04 07:39:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:57", "modified_time": "2025-08-04 07:39:57", "extra_info": {"tags": ["authentication", "sequential_actions", "social_media"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e12e0f2780a04e47a2d92db2f2c5a193", "memory_type": "task", "when_to_use": "When handling file operations like copying or comparing content across directories.", "content": "The agent used a combination of 'cp' to duplicate the file into another directory and 'diff' to compare two files effectively. By breaking down the task into smaller sub-tasks (copy, then compare), it ensured clarity in both execution and output interpretation, providing actionable insights from the comparison.", "score": 0.0, "time_created": "2025-08-04 07:39:57", "time_modified": "2025-08-04 07:39:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:57", "modified_time": "2025-08-04 07:39:57", "extra_info": {"tags": ["file_operations", "comparison", "directory_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["cp", "diff"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4398628d6e75420cacfc878dfbb3f343", "memory_type": "task", "when_to_use": "When handling user credentials in API calls or processing sensitive information.", "content": "Always separate sensitive data such as usernames and passwords from the main content payload to prevent accidental exposure. Ensure that credentials are passed only through secure, designated authentication functions.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "security", "credentials_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "96b72773a100422894a0d00642ae0ae1", "memory_type": "task", "when_to_use": "When constructing function parameters for social media posts that include mentions and hashtags.", "content": "Clarify whether the content parameter should include mentions and hashtags explicitly or if they should be handled separately via dedicated 'mentions' and 'tags' parameters. Avoid duplicating these elements in both the content and the additional fields unless the API documentation specifies it.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "api_usage", "content_formatting"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3270b87932a4467aa1721883f8c805d6", "memory_type": "task", "when_to_use": "When interpreting user instructions regarding social media content.", "content": "Carefully parse user-provided content to ensure that extraneous or unintended details (e.g., accidentally included credentials) are excluded from the final output. Always double-check the intended message against what is being processed.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "user_communication", "content_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a6d1d6763d434adfa16d9af8af54d613", "memory_type": "task", "when_to_use": "When determining flight costs and booking a trip, use this pattern to sequentially gather information and execute bookings.", "content": "The agent first retrieved the list of airports, then calculated the flight cost between two specified locations using 'get_flight_cost'. After confirming the cost with the user, it proceeded to book the flight using 'book_flight', ensuring all required parameters were correctly passed. This step-by-step approach ensures clarity and accuracy in executing multi-part tasks.", "score": 0.0, "time_created": "2025-08-04 07:40:26", "time_modified": "2025-08-04 07:40:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:26", "modified_time": "2025-08-04 07:40:26", "extra_info": {"tags": ["flight_booking", "sequential_execution", "travel_planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["list_all_airports", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2544712f0c84059af1deb3abe8140aa", "memory_type": "task", "when_to_use": "When purchasing supplementary services like travel insurance after a primary booking, ensure all linked identifiers are utilized effectively.", "content": "After successfully booking the flight, the agent purchased travel insurance using the 'purchase_insurance' function. It relied on previously obtained data such as the booking ID and payment details. The sequential dependency management (access token, card ID, booking ID) ensured that the insurance was correctly linked to the booking without errors.", "score": 0.0, "time_created": "2025-08-04 07:40:26", "time_modified": "2025-08-04 07:40:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:26", "modified_time": "2025-08-04 07:40:26", "extra_info": {"tags": ["insurance_purchase", "linked_services", "sequential_dependency"], "confidence": 0.85, "step_type": "action", "tools_used": ["purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "891a939b0b154a71bab0920dd33b0084", "memory_type": "task", "when_to_use": "When a multi-step task requires prerequisite actions to be completed before proceeding (e.g., booking a flight before purchasing insurance).", "content": "Always ensure that all necessary preceding steps are completed and their outputs are available before moving on to dependent tasks. Skipping such steps can lead to missing critical data like booking IDs, which are essential for subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:40:32", "time_modified": "2025-08-04 07:40:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:32", "modified_time": "2025-08-04 07:40:32", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_dependencies"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c984538f521840d7b6ebcd6355003e53", "memory_type": "task", "when_to_use": "When handling user queries involving sequential API calls where certain parameters depend on the output of earlier calls.", "content": "Break down complex user requests into explicit subtasks and verify each step's completion before proceeding. For example, confirm flight cost retrieval and booking completion before attempting ancillary services like insurance purchase.", "score": 0.0, "time_created": "2025-08-04 07:40:32", "time_modified": "2025-08-04 07:40:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:32", "modified_time": "2025-08-04 07:40:32", "extra_info": {"tags": ["error_prevention", "sequential_tasks", "api_call_sequence"], "confidence": 0.85, "step_type": "decision", "tools_used": ["list_all_airports", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a824b51f32084d86a894733ff441bf3c", "memory_type": "task", "when_to_use": "When handling sensitive data such as secret files, ensure that the agent has proper access permissions and user consent.", "content": "Sensitive operations like accessing secret files should always be preceded by explicit user authorization to prevent unauthorized actions.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authorization", "user_consent"], "confidence": 0.9, "step_type": "decision", "tools_used": ["find", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "310e9e728ad245e78d4306596a6fc356", "memory_type": "task", "when_to_use": "When crafting content for external platforms like tweets, ensure all formatting rules (e.g., escaping characters) are followed to avoid syntax errors.", "content": "Improperly formatted JSON or special characters in automated posts can lead to failed executions; always validate the content before posting.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "content_validation", "formatting"], "confidence": 0.8, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a65abd219c0c456bb51cd32b41dd855a", "memory_type": "task", "when_to_use": "When using tools with required parameters (like authentication), ensure all necessary inputs are provided before proceeding.", "content": "Missing or incomplete parameters for functions can stall workflows; verify all required arguments are present before making function calls.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_checking", "tool_usage"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["authenticate_twitter", "posting_get_login_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "58ea9c98875b4adc8c84932c6007ba6d", "memory_type": "task", "when_to_use": "When navigating file systems to locate and read files, ensure the correct directory is accessed before attempting to read file contents.", "content": "Always verify the current working directory before executing file operations to prevent 'file not found' errors. Use commands like `pwd` and `cd` to navigate correctly.", "score": 0.0, "time_created": "2025-08-04 07:40:34", "time_modified": "2025-08-04 07:40:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:34", "modified_time": "2025-08-04 07:40:34", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "cat", "pwd", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "795437a003d2493097a0793513e354c4", "memory_type": "task", "when_to_use": "When crafting content for external platforms (e.g., tweets), ensure all required components fit within platform constraints (character limits, formatting).", "content": "Before posting content externally, validate that the message fits within platform-specific limits and retains all necessary details without truncation or distortion.", "score": 0.0, "time_created": "2025-08-04 07:40:34", "time_modified": "2025-08-04 07:40:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:34", "modified_time": "2025-08-04 07:40:34", "extra_info": {"tags": ["error_prevention", "failure_analysis", "content_creation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0ab9710b947b4becb809b3a83df755b9", "memory_type": "task", "when_to_use": "When needing to convert units of measurement (e.g., gallons to liters) in a vehicle-related context.", "content": "The agent successfully used the 'gallon_to_liter' function to convert 30 gallons to liters, providing an accurate result of approximately 113.56 liters. This step demonstrates the importance of leveraging domain-specific tools for precise unit conversions.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["unit_conversion", "vehicle_control_system", "accurate_calculation"], "confidence": 0.95, "step_type": "action", "tools_used": ["gallon_to_liter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32b5a8ef616e4d05b8845a2bd3f6e487", "memory_type": "task", "when_to_use": "When preparing to start a vehicle's engine after ensuring prerequisites like locked doors and pressed brake pedal are met.", "content": "The agent followed a systematic approach to start the engine: locking all doors using 'lockDoors', pressing the brake pedal with 'pressBrakePedal', and finally starting the engine with 'startEngine'. This sequence highlights the necessity of adhering to safety protocols before engine ignition.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["engine_start", "safety_protocol", "systematic_approach"], "confidence": 0.9, "step_type": "sequence", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d0f7efae141d408988b89fb4abb2b9c5", "memory_type": "task", "when_to_use": "When posting updates on social media platforms after completing a task or verification process.", "content": "After verifying tire pressure with 'check_tire_pressure', the agent posted a tweet using 'post_tweet' to share the findings with hashtags and mentions. This step shows how to effectively communicate results and engage with a broader audience post-task completion.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["social_media", "task_completion", "communication"], "confidence": 0.85, "step_type": "action", "tools_used": ["check_tire_pressure", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0639af7343c944e18ae1ce822b6cb8b0", "memory_type": "task", "when_to_use": "When converting units or performing calculations in a task involving multiple tools.", "content": "Always validate the relevance of selected tools for each step. Irrelevant tool usage (e.g., travel-related tools for fuel conversion) can lead to confusion and wasted effort.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "tool_relevance", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "book_flight", "authenticate_travel"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f94302bc32b94f61b7a2af981467801c", "memory_type": "task", "when_to_use": "When chaining multiple actions that depend on prior steps being successful.", "content": "Ensure intermediate actions are logically connected and necessary. Skipping unrelated steps (e.g., locking doors or checking tire pressure during fuel conversion) prevents unnecessary complexity.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "logical_flow", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["lockDoors", "check_tire_pressure", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "15b1b055a5ec4cbdb74a84f01b4d6e45", "memory_type": "task", "when_to_use": "When posting updates or communicating results via external platforms like social media.", "content": "Verify that the information being shared is directly relevant to the original query. Sharing unrelated findings (e.g., tire pressure details after a fuel conversion task) can dilute focus and confuse stakeholders.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "communication", "failure_analysis"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "02345c2d5094495f8606c5911cf6902a", "memory_type": "task", "when_to_use": "When interacting with vehicle systems (e.g., fuel, engine start), ensure all preconditions are met before executing commands.", "content": "Always verify the required system states (like locked doors or pressed brake pedals) prior to initiating dependent actions. Missing these steps can lead to repeated failures and wasted attempts.", "score": 0.0, "time_created": "2025-08-04 07:40:50", "time_modified": "2025-08-04 07:40:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:50", "modified_time": "2025-08-04 07:40:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cd3546c9f5594e2ca763e239ce9c3345", "memory_type": "task", "when_to_use": "When sending messages to multiple recipients, confirm user intent regarding self-sent messages and recipient accuracy.", "content": "Double-check message recipients during communication tasks, especially when users might mistakenly send messages to themselves instead of intended contacts.", "score": 0.0, "time_created": "2025-08-04 07:40:50", "time_modified": "2025-08-04 07:40:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:50", "modified_time": "2025-08-04 07:40:50", "extra_info": {"tags": ["error_prevention", "communication", "recipient_verification"], "confidence": 0.8, "step_type": "decision", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a6cb1608cf054966adb365961764aabb", "memory_type": "task", "when_to_use": "When attempting to start the engine and encountering errors related to preconditions like door locks or brake pedal status.", "content": "Always verify all vehicle preconditions (e.g., locked doors, brake pedal engagement) before initiating critical actions such as starting the engine. Sequentially address each error message until all prerequisites are satisfied.", "score": 0.0, "time_created": "2025-08-04 07:40:52", "time_modified": "2025-08-04 07:40:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:52", "modified_time": "2025-08-04 07:40:52", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "479010e436a846cf9b24f9f9e17a9859", "memory_type": "task", "when_to_use": "When needing to ensure proper communication with others during a multi-step task involving multiple systems (e.g., messaging system and vehicle control).", "content": "Cross-check sent messages after completing key steps to confirm that all relevant parties have been notified. This avoids overlooking critical updates or recipients.", "score": 0.0, "time_created": "2025-08-04 07:40:52", "time_modified": "2025-08-04 07:40:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:52", "modified_time": "2025-08-04 07:40:52", "extra_info": {"tags": ["error_prevention", "failure_analysis", "communication"], "confidence": 0.8, "step_type": "observation", "tools_used": ["view_messages_sent", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b318cebc89ab49eba81ba81a968705bb", "memory_type": "task", "when_to_use": "When the user needs to authenticate into a system using credentials and retrieve specific account information.", "content": "The agent successfully authenticated the user by calling 'authenticate_travel' with the provided client ID, secret, and refresh token. After obtaining the access token, it was used to fetch the credit card balance via 'get_credit_card_balance'. This sequence worked because the agent correctly identified the required tools and passed accurate parameters at each step.", "score": 0.0, "time_created": "2025-08-04 07:41:02", "time_modified": "2025-08-04 07:41:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:02", "modified_time": "2025-08-04 07:41:02", "extra_info": {"tags": ["authentication", "account-access", "credit-card-balance"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_travel", "get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e92bc4cf08b544a4a306a8e3aa34f0cc", "memory_type": "task", "when_to_use": "When the user requests computation of statistical data such as averages from a set of numerical inputs.", "content": "The agent recognized the need to calculate the mean of a list of numbers and invoked the 'mean' function with properly formatted numerical arguments. The result was validated against manual calculations, ensuring accuracy before presenting it to the user. This approach succeeded due to clear understanding of both the query and tool functionality.", "score": 0.0, "time_created": "2025-08-04 07:41:02", "time_modified": "2025-08-04 07:41:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:02", "modified_time": "2025-08-04 07:41:02", "extra_info": {"tags": ["statistical-computation", "mean-calculation", "numerical-inputs"], "confidence": 0.85, "step_type": "action", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "37c2c7b690f44c8f9c04891f5377e7df", "memory_type": "task", "when_to_use": "When the user needs to authenticate into a system using provided credentials and tokens.", "content": "The step pattern involved calling the 'authenticate_travel' function with all required parameters (client_id, client_secret, refresh_token, grant_type, user_first_name, user_last_name). This approach worked well because it directly addressed the user's need for authentication while ensuring that all necessary fields were supplied correctly. The success was evident when an access token was returned, allowing further actions within the system.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["authentication", "travel-system", "user-credentials"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_travel"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9ca7846b69e143b4b3fb17894d2d1b2c", "memory_type": "task", "when_to_use": "When the user requires retrieving specific financial information such as credit card balance after successful authentication.", "content": "After obtaining the access token from the authentication step, the 'get_credit_card_balance' function was called with the appropriate 'access_token' and 'card_id'. This technique proved effective because it leveraged the authenticated session to fetch precise account details, providing the user with the exact balance they needed. The clarity of inputs ensured no ambiguity in execution.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["credit-card", "financial-data", "post-authentication"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3edeec1996cb41cca8d72eeee9071179", "memory_type": "task", "when_to_use": "When the user seeks to compute statistical values like mean from a list of provided numbers.", "content": "The sequence involved utilizing the 'mean' tool by passing an array of numerical transaction values. This decision point was critical as it demonstrated the ability to process user-provided data accurately and return meaningful results (average spending). The effectiveness stemmed from selecting the right tool and structuring the input correctly, which led to correct computation and enhanced user satisfaction.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["statistical-computation", "mean", "transaction-analysis"], "confidence": 0.8, "step_type": "action", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2f3f2c637364443d9e7626a2682c8690", "memory_type": "task", "when_to_use": "When the user needs to retrieve and summarize historical messages for review.", "content": "The agent successfully retrieved all sent messages using 'view_messages_sent' and parsed the nested response structure to extract relevant details. By organizing the output into a clear, recipient-focused summary, it enabled the user to quickly identify key communications related to their stock and order queries. This approach ensures clarity and relevance when handling complex data structures.", "score": 0.0, "time_created": "2025-08-04 07:41:08", "time_modified": "2025-08-04 07:41:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:08", "modified_time": "2025-08-04 07:41:08", "extra_info": {"tags": ["message retrieval", "data parsing", "user communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7c807f9fcb5441a599a6459b681d7438", "memory_type": "task", "when_to_use": "When the user requests information about a specific stock or order but lacks direct context.", "content": "The agent first identified the stock symbol using 'get_symbol_by_name', then added it to the watchlist with 'add_to_watchlist'. For order details, it used 'get_order_history' followed by 'get_order_details' to provide precise updates. This sequential use of tools ensured accurate and actionable insights tailored to the user’s query.", "score": 0.0, "time_created": "2025-08-04 07:41:08", "time_modified": "2025-08-04 07:41:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:08", "modified_time": "2025-08-04 07:41:08", "extra_info": {"tags": ["stock tracking", "order history", "tool chaining"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "64b615f2cbde40ee9e36a42c160dfc7d", "memory_type": "task", "when_to_use": "When needing to retrieve and summarize historical messages for a user.", "content": "The agent successfully used 'view_messages_sent' to retrieve all sent messages by the user, grouped them by recipient, and presented a clear summary. This approach works well because it directly addresses the user's need to review past communications without requiring keyword searches or filtering.", "score": 0.0, "time_created": "2025-08-04 07:40:58", "time_modified": "2025-08-04 07:40:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:58", "modified_time": "2025-08-04 07:40:58", "extra_info": {"tags": ["message_management", "review", "user_communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3e40a9007e7342e8a6452d2976262e8f", "memory_type": "task", "when_to_use": "When sending a message to another user after identifying their user ID.", "content": "The agent first used 'get_user_id' to resolve the recipient's user ID from their name, then called 'send_message' with the resolved ID and the intended message. This two-step pattern ensures accurate targeting of the recipient and successful message delivery.", "score": 0.0, "time_created": "2025-08-04 07:40:58", "time_modified": "2025-08-04 07:40:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:58", "modified_time": "2025-08-04 07:40:58", "extra_info": {"tags": ["message_sending", "user_resolution", "communication"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_user_id", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d9de10135f0f43d6918afa461c728146", "memory_type": "task", "when_to_use": "When determining travel costs between two cities, especially with specific class and date requirements.", "content": "The agent successfully identified the nearest airports for both departure and destination cities using 'get_nearest_airport_by_city', then accurately retrieved flight costs via 'get_flight_cost' by supplying precise parameters like travel class and date. This ensured accurate cost estimation aligned with user preferences.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["travel planning", "flight cost estimation", "parameter precision"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6f059c0286df4b4f85770becffbb1c73", "memory_type": "task", "when_to_use": "When a user requests budget adjustments based on currency conversion before finalizing bookings.", "content": "The agent effectively used 'compute_exchange_rate' to convert the user’s budget from RMB to USD, followed by 'set_budget_limit' to align the budget with the converted value. This step ensures financial feasibility while respecting user constraints.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["budget management", "currency conversion", "pre-booking validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2838d3bbfcf346eab00b0337177a4ffa", "memory_type": "task", "when_to_use": "When finalizing bookings and generating invoices post-transaction.", "content": "After confirming booking details through 'book_flight', the agent retrieved an itemized invoice using 'retrieve_invoice'. This provides transparency and confirmation to the user, enhancing trust and clarity in the process.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["booking finalization", "invoice generation", "user transparency"], "confidence": 0.8, "step_type": "action", "tools_used": ["book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "92b493403dba4743bac5f2a18f0e9c36", "memory_type": "task", "when_to_use": "When handling multiple API calls, ensure all required arguments are correctly passed and validated before execution.", "content": "Missing or incorrect parameters in API calls can lead to execution failures. Always cross-check function signatures with the provided arguments.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "53a81adb8cb141a38149f984e1ee5845", "memory_type": "task", "when_to_use": "When managing budgets or financial constraints, verify that all costs align with the user's limits before confirming transactions.", "content": "Mismatch between costs and budget limits can cause dissatisfaction or unexpected outcomes. Always confirm alignment between expenses and budget thresholds.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["budget_management", "cost_alignment", "user_satisfaction"], "confidence": 0.85, "step_type": "decision", "tools_used": ["set_budget_limit", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7670c88203524e96912eb9f0789e71dc", "memory_type": "task", "when_to_use": "When retrieving or generating final outputs like invoices, ensure all prior steps have been successfully completed without errors.", "content": "Incomplete or erroneous preceding steps can result in inaccurate final outputs. Validate intermediate results before proceeding to final actions.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["output_validation", "sequential_process", "failure_analysis"], "confidence": 0.8, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8de3002e1f2140f4a8b1022128063799", "memory_type": "task", "when_to_use": "When executing multi-step tasks where specific conditions must be met (e.g., tire pressure, fuel level) before proceeding to the next step.", "content": "Always validate that all preconditions are fully satisfied according to user requirements, even if system indicators suggest otherwise. For example, the system flagged 'healthy_tire_pressure' as true despite rear tires being underinflated.", "score": 0.0, "time_created": "2025-08-04 07:41:23", "time_modified": "2025-08-04 07:41:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:23", "modified_time": "2025-08-04 07:41:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dd3f995ed4924ebcb83e60d0b3510fb0", "memory_type": "task", "when_to_use": "When planning actions based on external dependencies like service centers or locations.", "content": "Ensure clarity in interpreting user intent regarding navigation or location-based services. If unsure whether to navigate directly or provide coordinates, confirm with the user first.", "score": 0.0, "time_created": "2025-08-04 07:41:23", "time_modified": "2025-08-04 07:41:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:23", "modified_time": "2025-08-04 07:41:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "navigation"], "confidence": 0.75, "step_type": "decision", "tools_used": ["find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f1a6ed0dc2bb4c9189c3dcb6f1d2bf30", "memory_type": "task", "when_to_use": "When interpreting tool responses that include boolean health/status flags but also specific numeric data.", "content": "Do not rely solely on boolean flags in tool responses when the user specifies a clear numeric target; always cross-check the actual values provided against the user's explicit requirements.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_response_interpretation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4fea641c49b349598aff5c7b85a53014", "memory_type": "task", "when_to_use": "When performing sequential safety checks where one step depends on the completion of another (e.g., locking doors before starting an engine).", "content": "Ensure all prerequisites are fully met before proceeding to dependent steps, even if intermediate errors seem resolved, as partial fulfillment may still cause failures downstream.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "sequential_dependency"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8c0ff791ca8d4eaab667c5ff3e2d7bbd", "memory_type": "task", "when_to_use": "When exact precision is required for units or measurements (e.g., rounding liters to gallons or PSI levels).", "content": "Explicitly confirm and apply any unit conversions or rounding rules provided by the user rather than assuming tools will handle them correctly based on defaults.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "unit_conversion"], "confidence": 0.8, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0adec04fd4ed435fab32891b636e8822", "memory_type": "task", "when_to_use": "When interacting with vehicle systems, ensure all preconditions are met before executing commands.", "content": "Always verify preconditions such as the brake pedal being pressed before attempting to start the engine. Missing these steps can lead to errors or failed actions.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "af3c4a53ac684dacac573460ddcd0965", "memory_type": "task", "when_to_use": "When filling a fuel tank, ensure the amount of fuel specified does not exceed the tank's capacity.", "content": "Attempting to fill beyond the maximum capacity will result in an error. Always check the current fuel level and tank capacity before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "fuel_system"], "confidence": 0.85, "step_type": "decision", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a65570af5fd1471d86bfa7a4ee54d27d", "memory_type": "task", "when_to_use": "When receiving system feedback indicating 'healthy' conditions, cross-check against user-specified thresholds for additional safety.", "content": "System indicators may show 'healthy' status, but user-defined thresholds (e.g., tire pressure below 37 psi) should always take precedence to avoid potential issues during critical tasks like long trips.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tire_safety"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2ed9bd9397174232bba1e7160246d19d", "memory_type": "task", "when_to_use": "When checking vehicle readiness for a trip and the user specifies custom thresholds (e.g., tire pressure above system defaults).", "content": "Always explicitly confirm whether system-reported 'healthy' statuses align with user-defined thresholds before proceeding. Misalignment between default system checks and user expectations can lead to overlooked issues.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "user_thresholds", "vehicle_readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23bf896f2b4047a2985ae2d7fdf0fcd4", "memory_type": "task", "when_to_use": "When attempting to fill a vehicle's fuel tank or adjust any system with capacity limits.", "content": "Avoid exceeding predefined system capacities (e.g., fuel tank maximum) without first verifying current levels and constraints. Exceeding these limits will result in errors and wasted actions.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "capacity_constraints", "fuel_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "79eecaf70c254e09b4accf57b77d7ad7", "memory_type": "task", "when_to_use": "When performing multi-step tasks requiring specific preconditions (e.g., pressing the brake pedal before starting the engine).", "content": "Always verify all necessary preconditions are met prior to executing an action. Missing a required step can cause failures, requiring redundant corrective actions later in the sequence.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "preconditions", "task_execution"], "confidence": 0.8, "step_type": "decision", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0709a04a91fd472eb3080db27090ec4e", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies a shared or communal directory, but the available tools only support operations in the current directory.", "content": "Always confirm whether the requested directory manipulation is supported by the toolset. If not, clarify with the user and proceed with an alternative approach within the constraints of the tools.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations", "directory_handling"], "confidence": 0.85, "step_type": "decision", "tools_used": ["touch", "echo", "cat", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "078ec638c48d4066b0516b4bf0cd2725", "memory_type": "task", "when_to_use": "When needing to write data or counts into a new file, ensure that the content formatting aligns with expected future uses (e.g., machine readability).", "content": "Format outputs like word counts or statistics consistently for potential downstream processing. Avoid storing unstructured raw values unless explicitly requested by the user.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_formatting", "output_consistency"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aaf5c0c984574474bdcfa83ca2ae8b46", "memory_type": "task", "when_to_use": "When performing multi-step tasks involving file creation, modification, and inspection, validate intermediate results at each step to prevent cascading failures.", "content": "Verify the success of each operation (e.g., file creation, content writing) before proceeding to subsequent steps. This ensures errors are caught early and mitigated promptly.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation", "intermediate_results"], "confidence": 0.9, "step_type": "observation", "tools_used": ["touch", "echo", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f879d736bc174e9684148af49f628bcb", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies a shared or communal directory, ensure that the correct directory is confirmed before proceeding.", "content": "Always verify the current working directory or navigate to the intended directory before executing file-related commands. Misalignment between the assumed and actual directory can lead to misplaced files.", "score": 0.0, "time_created": "2025-08-04 07:41:31", "time_modified": "2025-08-04 07:41:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:31", "modified_time": "2025-08-04 07:41:31", "extra_info": {"tags": ["error_prevention", "directory_management", "file_operations"], "confidence": 0.9, "step_type": "decision", "tools_used": ["cd", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dddafad84f03415db445b8778cd00b4f", "memory_type": "task", "when_to_use": "When writing numeric data (e.g., counts, statistics) into files using text-based tools like 'echo', ensure clarity on formatting requirements.", "content": "Numeric outputs should be explicitly formatted as strings when passed to functions that expect textual content. This avoids ambiguity in how numbers are stored or presented in files.", "score": 0.0, "time_created": "2025-08-04 07:41:31", "time_modified": "2025-08-04 07:41:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:31", "modified_time": "2025-08-04 07:41:31", "extra_info": {"tags": ["error_prevention", "data_formatting", "file_writing"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "21f0fe1a698b4f32b778d8787944a336", "memory_type": "task", "when_to_use": "When preparing a vehicle for a trip and encountering sequential prerequisites like locking doors or pressing the brake pedal.", "content": "The agent successfully navigated multiple dependent steps (locking doors, pressing the brake pedal) before starting the engine. Addressing system errors sequentially ensured all conditions were met, leading to a successful engine start.", "score": 0.0, "time_created": "2025-08-04 07:41:49", "time_modified": "2025-08-04 07:41:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:49", "modified_time": "2025-08-04 07:41:49", "extra_info": {"tags": ["vehicle preparation", "sequential tasks", "error handling"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4f24392a91a14268931e527fc317133c", "memory_type": "task", "when_to_use": "When estimating travel distance between two cities using zip codes and determining fuel feasibility.", "content": "The agent efficiently estimated the distance by converting city names into zip codes and checking if the current fuel level was sufficient. When it wasn't, the agent refueled the vehicle, ensuring trip readiness.", "score": 0.0, "time_created": "2025-08-04 07:41:49", "time_modified": "2025-08-04 07:41:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:49", "modified_time": "2025-08-04 07:41:49", "extra_info": {"tags": ["distance estimation", "fuel management", "trip planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance", "estimate_drive_feasibility_by_mileage", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f6b5037b2b084af2ba6cd6a8230283ae", "memory_type": "task", "when_to_use": "When preparing to start a vehicle or system, ensure all prerequisites (like locked doors) are met before attempting the main action.", "content": "Always verify preconditions or constraints in multi-step processes. Missing these can lead to avoidable errors and additional corrective steps.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "preconditions", "vehicle_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "69de565b0c964e2a9a3f26c32e39f0a0", "memory_type": "task", "when_to_use": "When receiving an error message during task execution, immediately analyze and resolve the issue before proceeding further.", "content": "Error messages often indicate missing steps or incorrect configurations. Addressing these promptly prevents cascading failures and wasted efforts.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "error_handling", "task_execution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "03507b92e3764630bdfe832cd49ac0a7", "memory_type": "task", "when_to_use": "When preparing a vehicle for departure and ensuring all safety measures are in place.", "content": "The sequence of locking doors, pressing the brake pedal, and then starting the engine ensures compliance with vehicle safety protocols. This approach prevents errors by addressing prerequisites systematically: first securing the vehicle (locking doors), then engaging necessary controls (braking), and finally initiating the engine.", "score": 0.0, "time_created": "2025-08-04 07:41:58", "time_modified": "2025-08-04 07:41:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:58", "modified_time": "2025-08-04 07:41:58", "extra_info": {"tags": ["vehicle_start", "safety_checks", "sequential_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0ebac2ba6a18411bb45ea5a6b6ac52db", "memory_type": "task", "when_to_use": "When calculating distances between locations to plan travel logistics such as fuel stops.", "content": "Using zipcode-based distance estimation tools provides accurate results that can guide decisions about refueling or rest stops during long trips. This method avoids ambiguity from city names alone and integrates seamlessly with other planning tasks like mileage feasibility checks.", "score": 0.0, "time_created": "2025-08-04 07:41:58", "time_modified": "2025-08-04 07:41:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:58", "modified_time": "2025-08-04 07:41:58", "extra_info": {"tags": ["distance_calculation", "travel_planning", "fuel_stop_strategy"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a349287fcb834020a93d02323742075e", "memory_type": "task", "when_to_use": "When initiating a multi-step process involving prerequisites (e.g., locking doors, pressing pedals) before executing the main action.", "content": "Always verify and address all prerequisite conditions explicitly in sequence before attempting the primary task. Missing even one condition can cascade into repeated failures.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["error_prevention", "prerequisite_checking", "sequential_execution"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "19a8d7eb7a6c4bf79bcf0160f1586481", "memory_type": "task", "when_to_use": "When encountering an error message that specifies a required action (e.g., 'All doors must be locked', 'Brake pedal needs to be pressed').", "content": "Error messages often indicate missing steps that must be completed before retrying the failed action. Treat them as actionable instructions rather than blockers.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["error_handling", "failure_recovery", "user_guidance"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca981b7e913b47b5b2c499371b6f4bd2", "memory_type": "task", "when_to_use": "When performing actions with parameterized inputs (e.g., brake pedal position, fuel amount).", "content": "Ensure parameter values align precisely with system requirements or constraints. Partial or incorrect values can lead to errors despite logical intent.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["parameter_validation", "input_verification", "tool_usage"], "confidence": 0.8, "step_type": "action", "tools_used": ["pressBrakePedal", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3915b641506e4de7972f87f9af555d10", "memory_type": "task", "when_to_use": "When securing a vehicle and preparing it for use after maintenance.", "content": "The sequence of locking all doors first, followed by initiating the engine with proper preconditions (e.g., pressing the brake pedal) ensures safety and readiness. This pattern avoids potential errors such as attempting to start the engine without fulfilling necessary conditions.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["vehicle-readiness", "safety-checks", "error-prevention"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4eed52dd32144e16b633ba3021f24d3a", "memory_type": "task", "when_to_use": "When posting social media updates involving mentions and tags.", "content": "Including relevant tags and mentions in the correct format within a post_tweet function ensures that the message is amplified to the intended audience. Validating content alignment with user intent (perfect tire condition) and verifying correct tool parameters (tags and mentions arrays) increases engagement and accuracy.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["social-media", "content-validation", "tool-usage"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "93bd6886579a4134aa649c8714606fc4", "memory_type": "task", "when_to_use": "When initiating the engine after locking doors or performing other vehicle operations.", "content": "Always check if there are preconditions for starting the engine, such as pressing the brake pedal. Ignoring these prerequisites can lead to failure in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:42:06", "time_modified": "2025-08-04 07:42:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:06", "modified_time": "2025-08-04 07:42:06", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start_procedures"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2f08d704917a4e67a6316f9ac41a0153", "memory_type": "task", "when_to_use": "When handling multiple sequential tasks involving different vehicle systems (e.g., door locks and engine start).", "content": "Ensure all interdependent actions are accounted for before proceeding with the next step. For example, verify that required conditions like brake pedal engagement are met before attempting to start the engine.", "score": 0.0, "time_created": "2025-08-04 07:42:06", "time_modified": "2025-08-04 07:42:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:06", "modified_time": "2025-08-04 07:42:06", "extra_info": {"tags": ["error_prevention", "task_dependency", "vehicle_systems"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2e46a556c9354ace8463e6e49698af9e", "memory_type": "task", "when_to_use": "When booking a flight and handling related services like insurance, ensure that all required fields for each API call are correctly understood and validated before execution.", "content": "Failure occurred due to incorrect parameter usage ('travel_cost' instead of the expected field). Always cross-check function signatures with intended inputs, especially when parameters might have overlapping or similarly named fields.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8d9240f7fb60472b9528bf409850792d", "memory_type": "task", "when_to_use": "In cases where customer support is contacted for itinerary changes or refunds, confirm whether additional tools exist to handle such requests directly (e.g., cancellation or refund functions).", "content": "While contacting customer support was appropriate, exploring other available tools could reveal more direct methods to manage cancellations or adjustments without external intervention.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["tool_exploration", "customer_support", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["contact_customer_support", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "eccf5c23699c4ab79d463d5b19d3f044", "memory_type": "task", "when_to_use": "When retrieving invoices after bookings, ensure clarity on which components (flight, insurance, etc.) are included in the invoice output, as missing details can lead to incomplete financial records.", "content": "The retrieved invoice did not explicitly include insurance costs, suggesting potential gaps in how comprehensive the data returned by 'retrieve_invoice' is. Verify what specific elements are captured in generated documents.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["invoice_retrieval", "financial_clarity", "documentation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "08bf2bd7807e4ad590a230e4acd1d2d0", "memory_type": "task", "when_to_use": "When handling booking or payment-related tasks that involve multiple API calls with specific parameters.", "content": "Always validate the expected arguments of a function against its documentation before making an API call. Unexpected keyword arguments can cause execution failure even if the logic seems correct.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["error_prevention", "API_validation", "parameter_check"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a8bc732161d24ebf9a5a570087a5091a", "memory_type": "task", "when_to_use": "When user requests involve sensitive actions like cancellations or refunds due to emergencies.", "content": "Before proceeding with irreversible actions (e.g., cancellation), ensure all necessary information (like access tokens) is explicitly provided by the user or retrieved from the session context. Avoid assuming implicit data availability.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["error_prevention", "context_management", "user_confirmation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c5f2b4303ec64db0b7ed223e57222e1f", "memory_type": "task", "when_to_use": "When encountering repetitive errors in API calls despite logical consistency.", "content": "Break down complex workflows into smaller, testable steps and verify intermediate outputs. This helps isolate issues early and reduces cascading failures in multi-step processes.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["failure_analysis", "debugging", "workflow_optimization"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d732e6f883e445898b8d4e9aeda8ba4a", "memory_type": "task", "when_to_use": "When attempting to start the engine, ensure all doors are locked beforehand.", "content": "Always verify door lock status before starting the engine to avoid unexpected errors. This can be done by checking the vehicle's door status using an appropriate tool like `displayCarStatus` or ensuring locks are engaged via `lockDoors`.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_control"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4ced775ee40244e3ac0c8d143fa36f87", "memory_type": "task", "when_to_use": "When estimating trip feasibility based on fuel levels, consider refueling preemptively if uncertain about range.", "content": "Ensure sufficient fuel is available for long trips by either fully refueling or confirming current fuel levels with `displayCarStatus`. Proactively addressing fuel needs avoids potential mid-journey issues.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["error_prevention", "fuel_management", "trip_planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["estimate_drive_feasibility_by_mileage", "fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9dcdcd2ccb740fa87e2c6187e277d66", "memory_type": "task", "when_to_use": "Before sending messages in a workspace, confirm recipient IDs and review message history to avoid redundancy.", "content": "Use tools like `view_messages_sent` to check past communications and validate recipients with `get_user_id`, ensuring clarity and avoiding unnecessary repetition in messaging workflows.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["communication", "message_tracking", "workspace_management"], "confidence": 0.8, "step_type": "decision", "tools_used": ["send_message", "view_messages_sent", "get_user_id"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "80c5ff1e2ec54c0ea5c72039338b1d24", "memory_type": "task", "when_to_use": "When estimating vehicle feasibility for a long trip based on fuel level.", "content": "Always ensure to cross-check both the distance and current fuel capacity before determining if the vehicle is suitable for travel. If additional refueling is required, provide clear instructions to the user on how much fuel is necessary.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "fuel_check", "vehicle_readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["estimate_drive_feasibility_by_mileage", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a3de9854a1384c52b6526d802d62e717", "memory_type": "task", "when_to_use": "When initiating actions that have preconditions (e.g., starting the engine requires locked doors and pressed brake).", "content": "Before attempting an action with known preconditions, verify all conditions are met first to avoid repeated failures. For instance, check door locks and brake status prior to starting the engine.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "precondition_check", "engine_start"], "confidence": 0.85, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3cf1abf90a1a4269a0c19592baaeddc1", "memory_type": "task", "when_to_use": "When communicating updates or sending messages to multiple parties during a task.", "content": "Ensure users are aware of all messages sent during a session, especially when coordinating with multiple recipients. This helps maintain clarity and avoids missing any critical communication steps.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["message_tracking", "communication", "update_confirmation"], "confidence": 0.8, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "49260142b6e84e89b5b5f4288715b52d", "memory_type": "task", "when_to_use": "When attempting to create a directory that may already exist, verify its existence first to avoid unnecessary errors.", "content": "Before using 'mkdir', check if the directory exists using tools like 'ls' or handle exceptions when the directory already exists. This prevents redundant operations and ensures smoother execution.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "directory_management", "redundancy_check"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5fe83ddbc12b441b9a088dc59ad5cebe", "memory_type": "task", "when_to_use": "When moving files into a specific directory, ensure the target directory is accessible and correctly referenced.", "content": "Always confirm the destination directory's existence and accessibility before executing file-moving operations to prevent misplaced or failed transfers.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_verification"], "confidence": 0.85, "step_type": "decision", "tools_used": ["mv", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d43f2674d0f241f4a21869c683d78133", "memory_type": "task", "when_to_use": "When attempting to move files between directories, ensure the correct path resolution is used.", "content": "Always verify the current working directory and explicitly confirm file paths before executing file operations. Misaligned or incomplete paths can lead to 'file not found' errors even when the file exists.", "score": 0.0, "time_created": "2025-08-04 07:42:23", "time_modified": "2025-08-04 07:42:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:23", "modified_time": "2025-08-04 07:42:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "mv", "pwd", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e74b9d0f92f44baf8e4d736aa8cb3cce", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error in tools with specific parameters.", "content": "Ensure all tool arguments strictly adhere to the documented parameter list without introducing unsupported keywords (e.g., 'path' in `ls`).", "score": 0.0, "time_created": "2025-08-04 07:42:23", "time_modified": "2025-08-04 07:42:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:23", "modified_time": "2025-08-04 07:42:23", "extra_info": {"tags": ["error_prevention", "tool_usage", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97d3ef0c915147c0ba4bab2c58d7ac58", "memory_type": "task", "when_to_use": "When navigating directories and encountering 'No such directory' errors despite previous creation attempts.", "content": "Ensure that the directory structure is not nested incorrectly by verifying the current working directory with 'pwd' before proceeding with further commands. Avoid redundant directory creations without confirming their existence.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "directory_management", "navigation_errors"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "mkdir", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0390e3d563324daf837b12ec8227cabf", "memory_type": "task", "when_to_use": "When copying files to a destination directory fails due to naming or path issues.", "content": "Verify if the source file exists in the current directory before attempting copy operations. Ensure the destination directory is correctly specified without violating function constraints on paths.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "file_operations", "copy_errors"], "confidence": 0.8, "step_type": "action", "tools_used": ["cp", "ls", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a813c07a3d7842b4b005f275abd6e857", "memory_type": "task", "when_to_use": "When repeated attempts to access or modify files result in inconsistencies or unexpected errors.", "content": "Regularly check the contents of the current directory using 'ls' to confirm the presence of expected files and directories, especially after failed operations.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "file_verification", "unexpected_errors"], "confidence": 0.75, "step_type": "observation", "tools_used": ["ls", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1fdbfbef1af41dbb261c9a67d865902", "memory_type": "task", "when_to_use": "When attempting to copy files between directories where the source and destination are in different locations.", "content": "Ensure that the file exists in the current working directory or navigate to the correct directory before performing operations. Tools with path restrictions require careful handling of relative paths.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fadf782eb4d94877b75460df36258ffd", "memory_type": "task", "when_to_use": "When receiving errors related to missing files during file operations.", "content": "Verify the existence and location of the target file explicitly before proceeding with dependent actions such as copying or moving.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["error_prevention", "file_verification", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3ef00c117f76436297800f4361f8c921", "memory_type": "task", "when_to_use": "When designing sequences involving tools that do not support complex paths.", "content": "Break down multi-step operations into simpler sub-tasks, ensuring each step is achievable within the constraints of the toolset.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["tool_constraints", "sequence_design", "error_prevention"], "confidence": 0.8, "step_type": "decision", "tools_used": ["mkdir", "cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c77424d073ef4a9991f73b13fb64b725", "memory_type": "task", "when_to_use": "When searching for files with specific names in a directory and planning to compare them.", "content": "Ensure both files exist before attempting any comparison or further operations. If one file is missing, clarify with the user whether they want to proceed or provide an alternative name/path.", "score": 0.0, "time_created": "2025-08-04 07:42:39", "time_modified": "2025-08-04 07:42:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:39", "modified_time": "2025-08-04 07:42:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0be420c42c94038832e5c5e99a57767", "memory_type": "task", "when_to_use": "When handling tasks that involve multiple sequential steps (e.g., file search followed by content comparison).", "content": "Break down the task explicitly into sub-tasks, validate completion of each step before proceeding, and handle cases where intermediate steps fail gracefully by communicating clearly with the user.", "score": 0.0, "time_created": "2025-08-04 07:42:39", "time_modified": "2025-08-04 07:42:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:39", "modified_time": "2025-08-04 07:42:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_decomposition"], "confidence": 0.85, "step_type": "decision", "tools_used": ["find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6a232f80dcad44578395109b40991515", "memory_type": "task", "when_to_use": "When attempting to move and rename files across directories using functions with path restrictions.", "content": "Understand the limitations of available tools, especially regarding paths. If a function cannot handle full paths for moving and renaming, split the task into discrete steps: first navigate to the target directory, then perform the operation locally.", "score": 0.0, "time_created": "2025-08-04 07:42:42", "time_modified": "2025-08-04 07:42:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:42", "modified_time": "2025-08-04 07:42:42", "extra_info": {"tags": ["error_prevention", "file_operations", "tool_limitations"], "confidence": 0.85, "step_type": "action", "tools_used": ["mv", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c26328b9490749fb88d952b27ffe695e", "memory_type": "task", "when_to_use": "When interpreting user requests that involve multiple logical operations (e.g., both moving and renaming).", "content": "Break down complex user instructions into smaller, actionable components before proceeding. Validate whether each component can be executed given the constraints of the available tools.", "score": 0.0, "time_created": "2025-08-04 07:42:42", "time_modified": "2025-08-04 07:42:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:42", "modified_time": "2025-08-04 07:42:42", "extra_info": {"tags": ["task_decomposition", "failure_analysis", "user_instructions"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8881ff37e7874cee9511cd49f0c22ab3", "memory_type": "task", "when_to_use": "When the user needs to gather specific travel-related information (e.g., flight costs) and proceed with booking while adhering to a budget.", "content": "The agent successfully navigated through multiple steps: identifying nearest airports, retrieving flight costs, setting a budget limit, making the booking, and generating an invoice. Each step was executed sequentially using appropriate functions based on clear decision points (e.g., verifying budget before booking). This structured approach ensured accuracy and alignment with user requirements.", "score": 0.0, "time_created": "2025-08-04 07:42:35", "time_modified": "2025-08-04 07:42:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:35", "modified_time": "2025-08-04 07:42:35", "extra_info": {"tags": ["travel_booking", "sequential_execution", "budget_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "set_budget_limit", "book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f449e61babed43d3b8927a98607bfdb4", "memory_type": "task", "when_to_use": "When escalating concerns or issues related to a booking to customer support.", "content": "After completing the booking process, the agent effectively handled a post-booking concern by contacting customer support with precise details (booking ID and issue description). This ensured that the user's concern was formally logged for resolution without disrupting the overall flow of the task.", "score": 0.0, "time_created": "2025-08-04 07:42:35", "time_modified": "2025-08-04 07:42:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:35", "modified_time": "2025-08-04 07:42:35", "extra_info": {"tags": ["customer_support", "escalation_process", "post_booking"], "confidence": 0.85, "step_type": "decision", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd4b33ea1a154c3ba4ccdcf3ca735477", "memory_type": "task", "when_to_use": "When encountering unexpected parameter errors during function calls.", "content": "Always cross-check the function's expected parameters against its documentation to ensure no discrepancies exist between defined and actual arguments. If an error persists despite correct usage, consider that the backend implementation may not align with documented specifications.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_mismatch"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3c869a998e0b44d0b86632541ebbb0ad", "memory_type": "task", "when_to_use": "When a follow-up action (e.g., retrieving an invoice) depends on a prior step that might have failed silently or partially.", "content": "Before proceeding with dependent steps, validate the success of preceding actions by checking for explicit confirmation or identifiers such as booking IDs. If unavailable, revisit and resolve the upstream issue first.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["failure_analysis", "dependency_checking", "booking_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0192cb6a043c4549bf80f1f5c59cda70", "memory_type": "task", "when_to_use": "When planning a sequence involving budget constraints followed by expenditures.", "content": "Ensure budget-setting steps are compatible with downstream operations like payment processing. Validate whether the system enforcing the budget integrates seamlessly with expenditure functions to avoid unanticipated failures.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["budget_management", "payment_processing", "error_prevention"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "52744607692f4357ac5493c9d8abff65", "memory_type": "task", "when_to_use": "When retrieving specific booking-related information such as invoices, ensure all required parameters are provided by the user or inferred from context.", "content": "Always verify that optional but necessary fields like booking ID are supplied or clarified with the user before making API calls. Missing key details can lead to 'not found' errors even if other data (e.g., access token) is correct.", "score": 0.0, "time_created": "2025-08-04 07:42:55", "time_modified": "2025-08-04 07:42:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:55", "modified_time": "2025-08-04 07:42:55", "extra_info": {"tags": ["error_prevention", "failure_analysis", "booking_retrieval"], "confidence": 0.9, "step_type": "action", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aac66fe6187d46f599ce711a34e9ae94", "memory_type": "task", "when_to_use": "In scenarios where users request actions tied to previous interactions, cross-check for implicit dependencies on earlier steps or inputs.", "content": "If a function relies on contextual data from prior steps (e.g., booking ID), explicitly confirm this information with the user unless it's guaranteed to be available in the session state.", "score": 0.0, "time_created": "2025-08-04 07:42:55", "time_modified": "2025-08-04 07:42:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:55", "modified_time": "2025-08-04 07:42:55", "extra_info": {"tags": ["context_management", "user_clarification", "dependency_tracking"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6c396e9c290b4fdd89384aabaef38e65", "memory_type": "task", "when_to_use": "When the user's request requires specific parameters to call an API function, but those parameters are missing from their query.", "content": "Always confirm all required inputs (e.g., booking ID, access token) with the user before attempting to execute a function. Missing inputs lead to execution failure and waste time.", "score": 0.0, "time_created": "2025-08-04 07:42:40", "time_modified": "2025-08-04 07:42:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:40", "modified_time": "2025-08-04 07:42:40", "extra_info": {"tags": ["error_prevention", "input_validation", "user_query"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bebcd545be714cff984d488930554706", "memory_type": "task", "when_to_use": "When handling multi-step processes that depend on earlier interactions or data (e.g., referencing booking IDs or insurance IDs).", "content": "Maintain context continuity by explicitly linking current requests to prior steps. If unsure about necessary details, ask clarifying questions rather than proceeding with incomplete information.", "score": 0.0, "time_created": "2025-08-04 07:42:40", "time_modified": "2025-08-04 07:42:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:40", "modified_time": "2025-08-04 07:42:40", "extra_info": {"tags": ["context_management", "failure_analysis", "multi_step_processes"], "confidence": 0.85, "step_type": "decision", "tools_used": ["purchase_insurance", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "43c98827b6f04494aef645e8f754cc6e", "memory_type": "task", "when_to_use": "When the user specifies a budget in one currency but the system requires it in another.", "content": "The sequence involved identifying the need to convert currency before setting a budget limit. First, the compute_exchange_rate tool was used to convert the user-specified amount from GBP to USD. Then, the converted value was passed to the set_budget_limit function, ensuring compliance with the system's USD requirement. This approach avoids errors and aligns the user’s intent with system constraints.", "score": 0.0, "time_created": "2025-08-04 07:43:02", "time_modified": "2025-08-04 07:43:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:02", "modified_time": "2025-08-04 07:43:02", "extra_info": {"tags": ["currency_conversion", "budget_setting", "compliance"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f08b9e84dbe24e0cb8e29ce19eb0f0a5", "memory_type": "task", "when_to_use": "When multiple tools are required to achieve the user's goal, such as gathering flight cost details and setting a related budget.", "content": "The agent first identified the nearest airports using get_nearest_airport_by_city, then calculated the flight cost with get_flight_cost. When the user requested to set a daily spend limit, the agent recognized the need for currency conversion before applying the budget limit via set_budget_limit. This multi-step reasoning ensured all parts of the query were addressed comprehensively.", "score": 0.0, "time_created": "2025-08-04 07:43:02", "time_modified": "2025-08-04 07:43:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:02", "modified_time": "2025-08-04 07:43:02", "extra_info": {"tags": ["multi_tool_sequence", "user_goal_alignment", "travel_planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "639f53bcf1a1436a95de0a66c6a69233", "memory_type": "task", "when_to_use": "When handling currency conversions in budget-related tasks where the system expects a specific currency (e.g., USD) but the user provides another (e.g., GBP).", "content": "Always verify that the input currency matches the expected currency of the function parameters. If not, perform an explicit conversion using available tools before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:42:57", "time_modified": "2025-08-04 07:42:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:57", "modified_time": "2025-08-04 07:42:57", "extra_info": {"tags": ["error_prevention", "currency_conversion", "budget_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae9781d595764f049ad3f75d78c9b269", "memory_type": "task", "when_to_use": "When interpreting user inputs that may include implicit expectations about currency handling.", "content": "Clarify with the user or confirm internally whether the provided value needs to be converted or if the system can handle the specified currency directly. Misalignment between user intent and system functionality can lead to incorrect outcomes.", "score": 0.0, "time_created": "2025-08-04 07:42:57", "time_modified": "2025-08-04 07:42:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:57", "modified_time": "2025-08-04 07:42:57", "extra_info": {"tags": ["user_communication", "failure_analysis", "input_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f91700d65c4b44e69c1ae23e9bd88e41", "memory_type": "task", "when_to_use": "When starting a vehicle's engine and encountering safety-related errors (e.g., brake pedal not pressed).", "content": "The sequence of attempting to start the engine, receiving an error about the brake pedal, then fully pressing the brake before retrying successfully ensured compliance with safety protocols. This approach prevents potential accidents or damage caused by bypassing safety mechanisms.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["engine-start", "safety-protocol", "brake-pedal"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9e52b9a27c4e402192dc23bf549c2120", "memory_type": "task", "when_to_use": "When monitoring tire pressure and determining whether immediate maintenance is required.", "content": "After checking tire pressures using `check_tire_pressure`, identifying that all tires were below the safe threshold led to finding the nearest tire shop using `find_nearest_tire_shop`. This proactive decision-making ensures driver safety and avoids potential tire failure during operation.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["tire-pressure", "maintenance", "safety-first"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f0ca5f9e58194910ad8e9124d1546b1e", "memory_type": "task", "when_to_use": "When sharing updates on vehicle status via social media while emphasizing key takeaways.", "content": "Posting a tweet summarizing the vehicle checks followed by a reinforcing comment ('Safety first!') effectively communicated both progress and priorities. Using the `post_tweet` and `comment` functions together created a cohesive narrative for followers, enhancing engagement and awareness around safety practices.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["social-media", "engagement", "vehicle-updates"], "confidence": 0.8, "step_type": "action", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3c744ae101bf42b0b695c5a0c79b7b95", "memory_type": "task", "when_to_use": "When attempting to interact with external systems or APIs requiring authentication.", "content": "Always verify successful authentication before proceeding with dependent actions. A failure in authentication can cascade, preventing subsequent steps from executing correctly.", "score": 0.0, "time_created": "2025-08-04 07:42:50", "time_modified": "2025-08-04 07:42:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:50", "modified_time": "2025-08-04 07:42:50", "extra_info": {"tags": ["error_prevention", "authentication_failure", "dependency_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0631fbf3e2884adfb1dfff6f10b6e83c", "memory_type": "task", "when_to_use": "When planning sequential tasks that depend on the output of prior steps.", "content": "Ensure all prerequisite conditions are met and validated before initiating dependent tasks. For example, confirm the existence of a required resource (e.g., tweet_id) before attempting operations that rely on it.", "score": 0.0, "time_created": "2025-08-04 07:42:50", "time_modified": "2025-08-04 07:42:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:50", "modified_time": "2025-08-04 07:42:50", "extra_info": {"tags": ["error_prevention", "dependency_chain", "task_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["post_tweet", "comment_on_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "56b5bb4317b34a21b950da176876a42f", "memory_type": "task", "when_to_use": "When needing to create and populate a file with specific content in a particular directory.", "content": "The agent successfully navigated to the 'Documents' directory, created a new file called 'summary.txt', and populated it with the phrase 'quantum computing'. This approach worked due to the sequential use of the 'cd' tool to change directories, followed by the 'touch' tool to create the file, and finally the 'echo' tool to write the desired content. The flow was logical and ensured minimal errors while achieving the task efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:06", "time_modified": "2025-08-04 07:43:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:06", "modified_time": "2025-08-04 07:43:06", "extra_info": {"tags": ["file_creation", "directory_navigation", "content_writing"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "98cb73a7e9fb4f14b5e687126a494231", "memory_type": "task", "when_to_use": "When verifying the contents or metrics of a recently modified file.", "content": "After writing content to 'summary.txt', the agent used the 'wc' tool to count the words in the file. This step confirmed that the file contained exactly the expected number of words ('quantum computing' = 2 words). This demonstrates the importance of validation steps after file operations to ensure correctness and completeness.", "score": 0.0, "time_created": "2025-08-04 07:43:06", "time_modified": "2025-08-04 07:43:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:06", "modified_time": "2025-08-04 07:43:06", "extra_info": {"tags": ["file_validation", "word_count", "post_action_check"], "confidence": 0.85, "step_type": "observation", "tools_used": ["wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2e84e6db676941908871239f3ec7400c", "memory_type": "task", "when_to_use": "When a task involves checking file existence before performing actions like creating or modifying files, but the tools do not explicitly support existence checks.", "content": "Always attempt to use available tools creatively (e.g., listing directory contents) to infer information indirectly if direct checks are unavailable. Alternatively, clarify with the user whether proceeding without confirmation is acceptable.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "ls", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "81177d25f55d4de88b14424bae5adf5f", "memory_type": "task", "when_to_use": "When generating sequences of function calls based on incomplete or ambiguous instructions about error handling.", "content": "Ensure that all potential failure points, such as preconditions for safe execution, are addressed either through tool capabilities or explicit clarification requests to avoid unintended consequences.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["error_prevention", "failure_analysis", "sequence_planning"], "confidence": 0.8, "step_type": "decision", "tools_used": ["wc", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ac47858efe3b4fbbabc4810e3b9c07df", "memory_type": "task", "when_to_use": "When determining the distance between two cities for planning purposes.", "content": "The agent successfully identified the zip codes for both San Francisco and Stonebrook, then used these to estimate the road distance. This approach ensures accurate distance calculation by leveraging structured geographic data (zipcodes).", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["distance_calculation", "geographic_data", "planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e7c2212870304abfacf61b4dc099aa42", "memory_type": "task", "when_to_use": "When amplifying the reach of a message or announcement on social media.", "content": "After posting an initial tweet about the genealogy journey, the agent retweeted the message to increase visibility. This double-action strategy effectively widens audience engagement and promotes sharing within communities interested in family history.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["social_media", "amplification", "retweet"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "59c0b4859e494895b89fa7e43fb2489b", "memory_type": "task", "when_to_use": "When the task involves multiple sequential API calls, especially where authentication or session status might affect later steps.", "content": "Always verify the login or session status before executing dependent API functions to prevent downstream failures caused by expired or invalid sessions.", "score": 0.0, "time_created": "2025-08-04 07:43:25", "time_modified": "2025-08-04 07:43:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:25", "modified_time": "2025-08-04 07:43:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication", "session_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["ticket_get_login_status", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c4e833fca26946eeb21be871a6bd82f1", "memory_type": "task", "when_to_use": "When planning a series of actions that depend on outputs from previous steps (e.g., retweeting after posting).", "content": "Cross-check tool requirements and ensure all necessary preconditions, such as correct input parameters and valid prior outputs, are met before proceeding with subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:43:25", "time_modified": "2025-08-04 07:43:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:25", "modified_time": "2025-08-04 07:43:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "dependency_management", "workflow_design"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae43581c29b04a70a149c3d8ef4999fc", "memory_type": "task", "when_to_use": "When handling tasks that require user-provided information (e.g., booking IDs, transaction IDs) to proceed with a function call.", "content": "Always verify the presence of required parameters before initiating processes. If any critical data is missing, inform the user immediately and request clarification or additional details.", "score": 0.0, "time_created": "2025-08-04 07:43:14", "time_modified": "2025-08-04 07:43:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:14", "modified_time": "2025-08-04 07:43:14", "extra_info": {"tags": ["error_prevention", "missing_data", "user_communication"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["purchase_insurance", "retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca8cf047f8aa40f3ac8179ad933fc1a9", "memory_type": "task", "when_to_use": "When encountering authentication errors while performing actions in systems requiring login credentials.", "content": "Before attempting sensitive operations such as ticket creation, ensure proper authentication by explicitly logging in using provided credentials if necessary. Authentication status should be confirmed prior to proceeding.", "score": 0.0, "time_created": "2025-08-04 07:43:14", "time_modified": "2025-08-04 07:43:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:14", "modified_time": "2025-08-04 07:43:14", "extra_info": {"tags": ["authentication", "error_handling", "login_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1c630ec330d44099aa21704ff1c87a3b", "memory_type": "task", "when_to_use": "When handling multi-system workflows requiring separate authentication (e.g., travel system vs. ticketing system).", "content": "Always verify whether the user is authenticated in the correct system before proceeding with actions that depend on login status. Avoid assuming token validity across systems.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["error_prevention", "authentication", "cross-system"], "confidence": 0.9, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8eda2265b7ca4060a28bc8c0968865f9", "memory_type": "task", "when_to_use": "When creating tickets or resolving issues based on prior communications.", "content": "Ensure all necessary details from previous interactions are explicitly included in subsequent steps, such as support feedback or error messages, to avoid ambiguity.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["error_prevention", "context-preservation", "clarity"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "17d4ff82dbdc4704a015905d297be288", "memory_type": "task", "when_to_use": "When encountering invalid input data like booking IDs during critical operations.", "content": "Validate key inputs early in the process and guide users to correct them before initiating dependent tasks, reducing downstream failures.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["input-validation", "failure_analysis", "user-guidance"], "confidence": 0.85, "step_type": "action", "tools_used": ["purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4c27b613629f46eeb45186bec079d31e", "memory_type": "task", "when_to_use": "When the user requests specific stock information, including price and performance metrics.", "content": "The agent successfully used a two-step process: first identifying the stock symbol using 'get_symbol_by_name', followed by retrieving detailed stock information with 'get_stock_info'. This ensured accurate and relevant data was provided to the user.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["stock_information", "symbol_lookup", "financial_metrics"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5fa54f3e4d7499c81c5da4a442600f1", "memory_type": "task", "when_to_use": "When the user needs to cancel a pending order or close a ticket.", "content": "The agent efficiently identified the correct tool ('cancel_order' or 'close_ticket') based on the user's request and executed it with the provided identifier (e.g., order_id or ticket_id). The response confirmed the action's success, ensuring clarity and closure for the user.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["order_cancellation", "ticket_closure", "user_request_resolution"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "57f1612a793d4c81b15a8feb326519c7", "memory_type": "task", "when_to_use": "When the user requests specific stock information, including price and performance metrics.", "content": "The agent first used 'get_symbol_by_name' to retrieve the stock symbol for the company in question (Zeta Corp). After obtaining the symbol (ZETA), it called 'get_stock_info' to gather detailed stock data such as current price, percent change, volume, and moving averages. This sequential approach ensured accurate and relevant information was provided to the user efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["stock information", "symbol lookup", "performance metrics"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "18b17e713dc54fdabd43818859a54c39", "memory_type": "task", "when_to_use": "When a user identifies an error in a previous transaction and requests immediate cancellation of a pending order.", "content": "Upon recognizing the error, the agent promptly executed the 'cancel_order' function with the provided order ID (12446). The tool successfully processed the cancellation and returned confirmation that the order status was updated to 'Cancelled.' This direct action avoided any further processing of the erroneous transaction, satisfying the user's request effectively.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["order cancellation", "error correction", "transaction management"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "456f10927daf42f8beb965a7207033c5", "memory_type": "task", "when_to_use": "When a user wants to close a previously submitted support ticket due to changes in service preferences or other reasons.", "content": "After confirming the ticket ID from the user (ticket ID 3), the agent executed the 'close_ticket' function. The response confirmed successful closure of the ticket, ensuring the user’s intent to discontinue service was fully addressed. This step reflects clarity in handling customer service-related tasks by directly addressing the user’s need without unnecessary steps.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["ticket management", "service discontinuation", "customer support"], "confidence": 0.8, "step_type": "action", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "91905e7bc30947ac94db196093560782", "memory_type": "task", "when_to_use": "When the task involves file operations requiring multiple steps (e.g., copying files to a new directory), ensure that all necessary tools support the required operations.", "content": "The assistant attempted to use functions like 'find' and 'cp', but these may not have been designed for batch processing or wildcard handling, leading to incomplete execution. Ensure function capabilities align with the complexity of the task.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.85, "step_type": "action", "tools_used": ["find", "cp", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "afa5a3d5df394774998eda0bcb4810d8", "memory_type": "task", "when_to_use": "When encountering multi-step tasks without clear tool support for intermediate outputs (e.g., processing results from one function as input to another), reassess feasibility before proceeding.", "content": "The assistant planned to use 'find' to locate files and then copy them individually, but lacked the ability to process the output of 'find'. This highlights the importance of verifying whether tools can handle sequential dependencies.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_limitations"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["find", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4ea61951fb4347c2afb753a2eea993fc", "memory_type": "task", "when_to_use": "When designing workflows involving directory creation followed by content manipulation, confirm that both steps are fully supported by available tools.", "content": "Creating a new directory ('mkdir') was straightforward, but subsequent actions (copying specific files) were hindered due to missing functionality in 'cp'. Always validate end-to-end workflow compatibility with available tools.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "workflow_design"], "confidence": 0.75, "step_type": "decision", "tools_used": ["mkdir", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "06bb74d47bf948279f00f8a364369f9e", "memory_type": "task", "when_to_use": "When copying files from one directory to another, especially when file existence is uncertain.", "content": "Always verify the presence of target files before proceeding with operations. Use tools like 'find' or 'ls' to confirm that expected files exist in the source directory to avoid unnecessary actions on empty directories.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["find", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9828dec1b00f4da98cecd44266918adf", "memory_type": "task", "when_to_use": "When posting differences between two documents to social media platforms.", "content": "Ensure that meaningful differences are captured and formatted clearly for public readability. Avoid posting if there are no significant differences unless explicitly instructed by the user.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["content_creation", "social_media", "error_prevention"], "confidence": 0.8, "step_type": "action", "tools_used": ["diff", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0e2a5cf8b5e84facb7bf38ca04c85942", "memory_type": "task", "when_to_use": "When preparing to call a function, ensure all required arguments are correctly matched and named according to the API specification.", "content": "Mismatched or unexpected keyword arguments in function calls can lead to execution failures. Always cross-check argument names and structure against the tool's definition before invoking.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["error_prevention", "function_call_validation", "argument_matching"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b58a24616baf46d487a2707507b60665", "memory_type": "task", "when_to_use": "When handling complex workflows involving multiple tools, validate intermediate outputs to ensure downstream steps have accurate inputs.", "content": "Errors in upstream steps (e.g., incorrect cost values) can propagate and cause issues in subsequent actions like booking flights. Intermediate validation ensures smoother execution.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["workflow_validation", "intermediate_check", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bdb1c38ef37640a192096e0c36917bfc", "memory_type": "task", "when_to_use": "When constructing messages or communications within an account system, confirm that sender/receiver IDs align with expected formats and pre-existing relationships.", "content": "Sending messages without verifying account IDs or contact statuses can result in communication failures. Ensure all IDs are valid and relevant to the task.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["message_sending", "account_verification", "error_prevention"], "confidence": 0.75, "step_type": "decision", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6bd1062c5fc942b2811ae68c40fa2127", "memory_type": "task", "when_to_use": "When attempting to retrieve an invoice or confirm a booking, ensure that the booking ID is valid and exists in the system before proceeding.", "content": "Always validate critical identifiers such as booking IDs before executing dependent actions. Failure to do so can lead to cascading errors downstream, including inability to retrieve related data or complete tasks.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "booking_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9574f87b4bfa467ba79f953422c448ca", "memory_type": "task", "when_to_use": "When switching between different systems (e.g., travel API and message API), verify whether separate authentication steps are required for each system.", "content": "Different APIs may require independent authentication processes even if they belong to the same overarching service. Assuming shared authentication without confirming can result in unauthorized access errors.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5515e611bb0476d95bbe84960990e14", "memory_type": "task", "when_to_use": "In cases where multiple tools exist with overlapping functionalities, clarify which tool should be used based on context and available parameters.", "content": "Ambiguity in choosing the correct function due to similar naming conventions or overlapping purposes can lead to incorrect selections. Carefully review parameter requirements and descriptions to match the right tool to the task.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_selection"], "confidence": 0.75, "step_type": "action", "tools_used": ["compute_exchange_rate", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "517d8ec89f7d48218f20ed971958191f", "memory_type": "task", "when_to_use": "When handling booking and immediate cancellation of services with associated support ticket creation.", "content": "The agent successfully executed a sequence involving booking, canceling the booking, and creating a high-priority support ticket to address the cancellation reason. This multi-step pattern ensured both operational tasks (booking/cancellation) and post-action communication (ticket creation) were handled efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:57", "time_modified": "2025-08-04 07:43:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:57", "modified_time": "2025-08-04 07:43:57", "extra_info": {"tags": ["booking", "cancellation", "support-ticket", "multi-step-execution"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "cancel_booking", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d7b725f025f3419d9533f24e8294d648", "memory_type": "task", "when_to_use": "When encountering unexpected API parameter errors during function calls.", "content": "Upon receiving an error due to an invalid parameter ('travel_cost'), the agent adjusted the function call by removing the unsupported argument while retaining essential parameters. This demonstrates adaptability in debugging and refining inputs for successful execution.", "score": 0.0, "time_created": "2025-08-04 07:43:57", "time_modified": "2025-08-04 07:43:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:57", "modified_time": "2025-08-04 07:43:57", "extra_info": {"tags": ["error-handling", "parameter-validation", "api-call"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0a1cc44975b4b68aee73ff0a9a69478", "memory_type": "task", "when_to_use": "When encountering unexpected keyword argument errors in function calls", "content": "Always cross-check the actual function implementation against its documented parameters, especially when an error suggests a mismatch between expected and provided arguments. If inconsistencies arise, remove or adjust the problematic parameter based on the function's behavior rather than solely relying on documentation.", "score": 0.0, "time_created": "2025-08-04 07:44:01", "time_modified": "2025-08-04 07:44:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:01", "modified_time": "2025-08-04 07:44:01", "extra_info": {"tags": ["error_prevention", "parameter_mismatch", "function_call_failure"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "981f1a33c50049fc8652754650e6370c", "memory_type": "task", "when_to_use": "When handling user-provided data for critical actions like bookings or cancellations", "content": "Verify all user inputs for accuracy and consistency before executing functions, particularly dates or other time-sensitive information. Discrepancies such as incorrect years (e.g., 2023 vs. 2024) can lead to unintended outcomes or failed operations.", "score": 0.0, "time_created": "2025-08-04 07:44:01", "time_modified": "2025-08-04 07:44:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:01", "modified_time": "2025-08-04 07:44:01", "extra_info": {"tags": ["input_validation", "data_consistency", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23981768cde641dd96042baa17512f4d", "memory_type": "task", "when_to_use": "When a user requests a unit conversion and subsequent actions dependent on the result.", "content": "The agent successfully converted liters to gallons using the 'liter_to_gallon' function, rounded the result to the nearest integer, and then used the 'fillFuelTank' function with the correct amount. This ensured accurate fueling based on the user's request.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["unit_conversion", "fuel_management", "sequential_actions"], "confidence": 0.9, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e6e61ffca88f4dc4989960adad22eb36", "memory_type": "task", "when_to_use": "When multiple preconditions must be met before executing a critical action (e.g., starting an engine).", "content": "The agent identified that doors needed to be locked and the brake pedal pressed before starting the engine. By sequentially calling 'lockDoors', 'pressBrakePedal', and finally 'startEngine', the agent ensured all prerequisites were satisfied, leading to successful engine startup.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["preconditions", "sequential_validation", "engine_start"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f9346c7550d44f80b73878781047dfcb", "memory_type": "task", "when_to_use": "When a user requests additional modifications to a previously completed action (e.g., adding mentions to a tweet).", "content": "After posting a tweet, the user requested to add another mention. The agent correctly used the 'mention' function with the appropriate tweet ID and new username, ensuring the modification was applied without disrupting the original content.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["tweet_modification", "mention_addition", "post_action_updates"], "confidence": 0.8, "step_type": "action", "tools_used": ["mention"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e0d9eb2d68d645e49e0214cb073ea000", "memory_type": "task", "when_to_use": "When attempting to authenticate a user in a ticketing or travel system and the authentication fails multiple times.", "content": "Always validate and confirm that the provided credentials are correct before retrying authentication. Offer clear guidance on checking case sensitivity, ensuring no typos, or using password recovery options if needed.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "authentication_failure", "user_credentials"], "confidence": 0.85, "step_type": "action", "tools_used": ["authenticate_twitter", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "861adb2477ea421dad973dce185c1260", "memory_type": "task", "when_to_use": "When preparing a vehicle for operation and encountering sequential preconditions (e.g., locking doors, pressing brakes).", "content": "Before starting critical operations like engine ignition, ensure all required conditions (doors locked, brake pressed) are sequentially validated to avoid repeated failures.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "vehicle_start_sequence", "conditional_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3fd6af1c97db4396a494a10785730a35", "memory_type": "task", "when_to_use": "When converting units of measurement (e.g., liters to gallons) for practical tasks such as fuel filling.", "content": "Ensure unit conversions are correctly applied and rounded appropriately to match real-world requirements, avoiding overfill or underfill scenarios.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["unit_conversion", "fuel_management", "precision"], "confidence": 0.8, "step_type": "decision", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8eb025f13b86442092687397f96e7f72", "memory_type": "task", "when_to_use": "When gathering real-time stock information and managing watchlists for a user.", "content": "The sequence involved querying stock data using 'get_symbol_by_name' to retrieve the stock symbol, followed by 'get_stock_info' to obtain price, volume, and performance metrics. Finally, 'add_to_watchlist' was used to update the user's watchlist. This pattern ensures accurate, up-to-date financial data retrieval and seamless integration into user preferences.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["stock-data", "watchlist-management", "real-time-insights"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b13e0610aedf4972997b81f4a475a57f", "memory_type": "task", "when_to_use": "When handling order cancellation or reviewing transaction details in an investment account.", "content": "The agent first retrieved the order history via 'get_order_history', then extracted specific details with 'get_order_details'. Upon confirming the pending status, 'cancel_order' was invoked to successfully cancel the order. This approach ensures clarity in decision-making and provides users control over their transactions.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["order-management", "transaction-control", "investment-tools"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_order_history", "get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "347540528ed545ef8884d834f9600a71", "memory_type": "task", "when_to_use": "When performing a quick review of a trading account’s balance and linked payment methods.", "content": "Using 'get_account_info', the agent efficiently retrieved key account details such as balance and associated card information. Presenting this data in a structured format allows users to quickly assess their financial standing and take further actions if necessary.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["account-review", "balance-check", "payment-methods"], "confidence": 0.8, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "50961451301d4ff488d5cafd06e30711", "memory_type": "task", "when_to_use": "When handling financial or trading account queries involving balances and associated cards, ensure clarity on the format of sensitive data like card numbers.", "content": "Always confirm whether numeric identifiers (e.g., binding_card) should be presented as integers or formatted strings to meet user expectations and prevent confusion.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "data_formatting", "user_clarity"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b0147b3f1964ed1afa73d6bba72a47e", "memory_type": "task", "when_to_use": "In scenarios where multiple tools are available but only one is needed to address the query, verify that no unnecessary tool calls are made.", "content": "Avoid overcomplicating the solution by calling additional functions beyond what is strictly required to fulfill the user’s request.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["tool_efficiency", "error_prevention", "focus"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_account_info", "fund_account", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5b10a71ed7b746c29b277b33b39fcdef", "memory_type": "task", "when_to_use": "When searching for files or subdirectories with a specific keyword and then performing operations on the found items.", "content": "The sequence began with using the 'find' function to locate all files or subdirectories containing the keyword 'draft'. After identifying the correct file ('summary_draft.docx'), the user navigated into the directory where the file was located using 'cd', ensuring they were in the right context for further operations. Finally, the 'cp' function successfully copied and renamed the file. This step pattern is effective because it ensures proper navigation and context before attempting file operations, reducing errors from incorrect paths.", "score": 0.0, "time_created": "2025-08-04 07:44:12", "time_modified": "2025-08-04 07:44:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:12", "modified_time": "2025-08-04 07:44:12", "extra_info": {"tags": ["file_search", "directory_navigation", "file_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c7cbec82eb2345319fcf52bcc975a878", "memory_type": "task", "when_to_use": "When encountering a 'file not found' error during file operations.", "content": "After receiving an error that the file 'summary_draft.docx' could not be found, the user identified that they were likely in the wrong directory. By using 'cd' to navigate into the correct directory ('ResearchDocs') and verifying their location, they resolved the issue and successfully completed the copy operation. This highlights the importance of confirming the current working directory and adjusting accordingly when errors arise.", "score": 0.0, "time_created": "2025-08-04 07:44:12", "time_modified": "2025-08-04 07:44:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:12", "modified_time": "2025-08-04 07:44:12", "extra_info": {"tags": ["error_handling", "directory_verification", "file_not_found"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ba7a9570bc12492da6e3b086ad34c6b8", "memory_type": "task", "when_to_use": "When navigating directories and needing to copy or move files between different levels of the directory structure.", "content": "Always confirm the current working directory before executing file operations like 'cp' or 'mv'. If the source or destination is not in the current directory, use 'cd' to navigate appropriately. Misalignment between the current directory and intended paths can lead to incorrect actions or errors.", "score": 0.0, "time_created": "2025-08-04 07:44:13", "time_modified": "2025-08-04 07:44:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:13", "modified_time": "2025-08-04 07:44:13", "extra_info": {"tags": ["error_prevention", "directory_navigation", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["cd", "cp", "mv"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aaae646b3a8644fb92c0934832c87e5c", "memory_type": "task", "when_to_use": "When copying or moving files to a specific directory that isn’t the current working directory.", "content": "If tools like 'cp' or 'mv' do not support specifying full paths for source and destination, ensure you first navigate to the appropriate directory using 'cd'. This avoids issues where the tool cannot locate files due to path restrictions.", "score": 0.0, "time_created": "2025-08-04 07:44:13", "time_modified": "2025-08-04 07:44:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:13", "modified_time": "2025-08-04 07:44:13", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_structure"], "confidence": 0.85, "step_type": "action", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "778c479b85aa4a71bb45632943d59db1", "memory_type": "task", "when_to_use": "When attempting to cancel or modify a ticket in the ticketing system without sufficient information.", "content": "Always confirm and retrieve necessary identifiers (e.g., ticket ID) before initiating operations like closing or resolving tickets. Missing identifiers can lead to incomplete actions or user confusion.", "score": 0.0, "time_created": "2025-08-04 07:44:24", "time_modified": "2025-08-04 07:44:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:24", "modified_time": "2025-08-04 07:44:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "ticket_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["close_ticket", "get_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b53313f0cfb54b3ca1cee78b462747ee", "memory_type": "task", "when_to_use": "When handling requests that involve multiple systems or tools with overlapping functionalities.", "content": "Clarify whether the task pertains to one system or another, especially when similar terms (e.g., 'ticket' vs. 'booking') might cause misinterpretation. Cross-check tool parameters to ensure alignment with user intent.", "score": 0.0, "time_created": "2025-08-04 07:44:24", "time_modified": "2025-08-04 07:44:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:24", "modified_time": "2025-08-04 07:44:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "system_clarity"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4593a85c9a254e6fad4dc6e410ab6536", "memory_type": "task", "when_to_use": "When attempting to cancel a booking or ticket, ensure the correct function and parameters are used.", "content": "Misidentification of tools can lead to incorrect actions. Always verify whether the user is referring to a booking cancellation or a ticket closure, as they may require different functions ('cancel_booking' vs. 'close_ticket').", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_verification"], "confidence": 0.9, "step_type": "decision", "tools_used": ["cancel_booking", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8f0a15dc3a2c421a90ec14d34472ea1b", "memory_type": "task", "when_to_use": "When a required parameter is missing for an action (e.g., ticket ID), prompt the user immediately for clarification.", "content": "Incomplete information leads to execution failure. Always confirm all necessary inputs before proceeding with API calls to avoid unnecessary errors.", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "input_validation", "parameter_check"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "185950e8df5843898253c98f813c3fe4", "memory_type": "task", "when_to_use": "When encountering repeated errors in API calls due to unexpected arguments, cross-check documentation to ensure correct usage.", "content": "Errors like 'unexpected keyword argument' often stem from mismatched parameter names. Regularly refer to tool documentation during planning to align function calls with expected syntax.", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "api_usage", "documentation_check"], "confidence": 0.8, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7472d4766c2444f1b82d5e113c232f73", "memory_type": "task", "when_to_use": "When the vehicle's fuel level is below a critical threshold and requires refueling before starting the engine.", "content": "The agent successfully checked the fuel level, added double the required amount to ensure sufficient fuel was available, and then proceeded to start the engine. This approach ensures that there is enough fuel for immediate departure while avoiding further interruptions due to low fuel.", "score": 0.0, "time_created": "2025-08-04 07:44:27", "time_modified": "2025-08-04 07:44:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:27", "modified_time": "2025-08-04 07:44:27", "extra_info": {"tags": ["fuel_management", "vehicle_preparation", "engine_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["displayCarStatus", "fillFuelTank", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a9127c0704c64166bd4f2cf7f24d8d9e", "memory_type": "task", "when_to_use": "When encountering safety interlocks (e.g., unlocked doors or unpressed brake pedal) preventing engine ignition.", "content": "The agent identified that the engine could not be started due to safety constraints (unlocked doors and unpressed brake pedal). It methodically locked all doors and pressed the brake pedal fully before retrying the engine start. This sequential resolution of interlocks ensured compliance with safety protocols and allowed the engine to start without errors.", "score": 0.0, "time_created": "2025-08-04 07:44:27", "time_modified": "2025-08-04 07:44:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:27", "modified_time": "2025-08-04 07:44:27", "extra_info": {"tags": ["safety_protocol", "interlock_resolution", "engine_start"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e8da39c1dcf645518b971aacb58590d9", "memory_type": "task", "when_to_use": "When handling multiple tasks or requests in a single interaction, especially where tools have overlapping functionality.", "content": "Ensure that each tool call aligns with the user's explicit intent and context. Avoid introducing unrelated actions unless explicitly requested by the user.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "context_management", "tool_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["check_tire_pressure", "create_ticket", "resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "291bcf8655404147ae7c68b62d517c94", "memory_type": "task", "when_to_use": "When resolving tickets or closing issues based on user feedback.", "content": "Always confirm the exact resolution message or status update required by the user before executing the resolution step to avoid misalignment.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "ticket_management", "user_confirmation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8bbe667c459348bdae39f6ebf33fe3c4", "memory_type": "task", "when_to_use": "When switching between different domains of tools (e.g., vehicle-related vs. travel-related tools).", "content": "Maintain focus on the primary domain of the user query and avoid unnecessary transitions to unrelated toolsets without clear user direction.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "domain_focus", "task_relevance"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["all_tools_in_sequence"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "58f1a080550d4110a1d63cc9f2259da0", "memory_type": "task", "when_to_use": "When the user requests to cancel a previously placed order and confirmation of the cancellation is required.", "content": "The agent successfully identified the need to cancel an order based on the user’s request. It executed the 'cancel_order' function with the correct order ID and confirmed the cancellation status using the response data. This approach ensures the action aligns with the user's intent and provides immediate feedback, enhancing trust and clarity.", "score": 0.0, "time_created": "2025-08-04 07:44:25", "time_modified": "2025-08-04 07:44:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:25", "modified_time": "2025-08-04 07:44:25", "extra_info": {"tags": ["order management", "cancellation", "user confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5cd8216f3cc2454c924fa08dd58d6d26", "memory_type": "task", "when_to_use": "When handling sequential stock trading actions, such as placing and subsequently canceling orders.", "content": "The agent demonstrated effective sequencing by first retrieving stock details, placing an order, and later canceling it upon user request. Each step was executed in logical order, ensuring alignment with market dynamics and user preferences. This pattern helps maintain flexibility and responsiveness in volatile scenarios.", "score": 0.0, "time_created": "2025-08-04 07:44:25", "time_modified": "2025-08-04 07:44:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:25", "modified_time": "2025-08-04 07:44:25", "extra_info": {"tags": ["stock trading", "sequential actions", "adaptability"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "352ae61d68e94ad7aeea8c1284afdae0", "memory_type": "task", "when_to_use": "When attempting to execute a stock trade, ensure that the correct tools and functions are available before proceeding with order placement.", "content": "The absence of crucial stock trading tools like `get_stock_info`, `place_order`, or `cancel_order` led to an incomplete execution flow. Always confirm that all required functions for a task exist within the provided toolset.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_availability"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1a473cc19c544744b637606ac07053c8", "memory_type": "task", "when_to_use": "When designing workflows involving multi-step actions (e.g., placing and canceling orders), validate each step's dependencies and potential missing links beforehand.", "content": "A recurring issue was reliance on non-existent or improperly mapped functions during essential steps, causing disruptions in logical flow. Ensure every function call corresponds accurately to documented capabilities.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["workflow_design", "dependency_check", "function_mapping"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d418208c153a474aa86e7aaf03fde67d", "memory_type": "task", "when_to_use": "During decision-making steps where external conditions change rapidly (like market dynamics), consider fallback strategies if primary actions cannot be completed.", "content": "In cases where users decide to reverse their initial intent (e.g., canceling an order due to shifting market conditions), having contingency plans ensures smoother transitions without abrupt failures.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["contingency_planning", "dynamic_conditions", "decision_making"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc51cb59fad548db95a0bdc7f46d3168", "memory_type": "task", "when_to_use": "When starting a vehicle and encountering an error due to safety mechanisms like the brake pedal not being pressed.", "content": "The agent first attempted to start the engine but received an error indicating that the brake pedal needed to be pressed. The agent then correctly identified and executed the necessary step of pressing the brake pedal before retrying to start the engine, which led to a successful outcome.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["vehicle-start", "error-handling", "safety-mechanisms"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "929343df28c3437f91dea75b822db271", "memory_type": "task", "when_to_use": "When communicating results or updates to another user after completing a task.", "content": "After successfully computing the distance between two cities, the agent relayed the information to the specified colleague (Emma) using her user ID. This ensured clear communication and proper documentation of the shared information.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["communication", "user-interaction", "message-sending"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_user_id", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "79635d5d82274747bc58ec0ce34963bc", "memory_type": "task", "when_to_use": "When attempting to start an engine and the initial attempt fails due to missing prerequisites like pressing the brake pedal.", "content": "Always verify all preconditions for a task before execution, especially when dealing with systems that have interdependent components (e.g., vehicle systems requiring brake engagement).", "score": 0.0, "time_created": "2025-08-04 07:44:32", "time_modified": "2025-08-04 07:44:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:32", "modified_time": "2025-08-04 07:44:32", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start", "vehicle_systems"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "987b439036b44ffa8c565a5af615a8c6", "memory_type": "task", "when_to_use": "When managing multiple tools or APIs to complete complex workflows involving user-specific data.", "content": "Ensure clarity in distinguishing between self-referential actions (e.g., messages sent to oneself) and external interactions to avoid confusion during result presentation.", "score": 0.0, "time_created": "2025-08-04 07:44:32", "time_modified": "2025-08-04 07:44:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:32", "modified_time": "2025-08-04 07:44:32", "extra_info": {"tags": ["workflow_management", "user_data", "message_handling"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "24070309e5d64bdea476b81e87452947", "memory_type": "task", "when_to_use": "When booking a flight and additional services (e.g., insurance) using the same payment method, ensure all required parameters are validated before invoking subsequent API calls.", "content": "The agent successfully booked a flight by first validating the cost using 'get_flight_cost' and then calling 'book_flight'. For the insurance purchase, the agent reused the same credit card and access token while ensuring all required parameters were included for 'purchase_insurance'. This step pattern ensures continuity and avoids errors due to missing arguments.", "score": 0.0, "time_created": "2025-08-04 07:44:43", "time_modified": "2025-08-04 07:44:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:43", "modified_time": "2025-08-04 07:44:43", "extra_info": {"tags": ["flight_booking", "insurance_purchase", "payment_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_flight_cost", "book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7887e5ca014a4e75ac4623b73b72f666", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error during an API call, use a related function to fetch missing data dynamically.", "content": "In the initial attempt to book the flight, the agent encountered an error due to the unexpected keyword 'travel_cost'. Instead of failing, the agent used 'get_flight_cost' to fetch the correct cost dynamically and then retried the booking with accurate parameters. This approach demonstrates adaptability and robust error handling.", "score": 0.0, "time_created": "2025-08-04 07:44:43", "time_modified": "2025-08-04 07:44:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:43", "modified_time": "2025-08-04 07:44:43", "extra_info": {"tags": ["error_handling", "dynamic_data_fetching", "API_call"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "12d94dbde4cf4c88a7088cae9a569b1f", "memory_type": "task", "when_to_use": "When interacting with APIs where the function signature is not fully understood or documented.", "content": "Always verify the exact parameter names and requirements of an API function before invoking it to avoid unexpected keyword argument errors.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0692ad78970143b1a53f8fdebbbeaad9", "memory_type": "task", "when_to_use": "When a previous step in a sequence fails, but subsequent steps depend on its output.", "content": "Before proceeding with dependent tasks (e.g., purchasing insurance), ensure all prerequisite actions (e.g., flight booking) were successful and necessary outputs (e.g., booking_id) are available.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["error_prevention", "dependency_management", "failure_analysis"], "confidence": 0.85, "step_type": "decision", "tools_used": ["purchase_insurance", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9b29858ceb2643bf86d9a32d56bb4559", "memory_type": "task", "when_to_use": "When the user requests a specific action requiring unit conversion (e.g., liters to gallons) before proceeding.", "content": "The agent first converted the requested amount from liters to gallons using a dedicated tool, then executed the subsequent action (filling the fuel tank) with precision. This ensured accuracy and alignment with the user's request while maintaining clarity in communication.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["unit_conversion", "sequential_action", "precision"], "confidence": 0.9, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1513104db26a4b4cb19b40e2a1fe1980", "memory_type": "task", "when_to_use": "When encountering interdependent preconditions for an action (e.g., starting a car engine requires locked doors and pressed brake).", "content": "The agent identified and addressed each precondition sequentially by locking doors and pressing the brake pedal before attempting to start the engine. This methodical approach ensured all requirements were met, preventing errors and enhancing user satisfaction.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["preconditions", "sequential_dependencies", "error_prevention"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23de5c7707b34bd29cc5fc6026a5aebe", "memory_type": "task", "when_to_use": "When investigating potential causes of a reported issue (e.g., vibration during driving).", "content": "The agent checked tire pressure as a plausible cause of the vibration, analyzed the results, and provided both immediate feedback and additional suggestions (e.g., wheel balance or alignment). This holistic approach reassured the user and guided further troubleshooting if needed.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["diagnostics", "root_cause_analysis", "user_reassurance"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "44363cb5669849398feab8f20bae6dab", "memory_type": "task", "when_to_use": "When handling vehicle operations that require multiple preconditions (e.g., starting the engine), ensure all prerequisites are met before proceeding.", "content": "Always verify and address any system constraints or requirements, such as locked doors, before executing actions like engine ignition to avoid cascading errors.", "score": 0.0, "time_created": "2025-08-04 07:44:57", "time_modified": "2025-08-04 07:44:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:57", "modified_time": "2025-08-04 07:44:57", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "389f231d3c994576aa24ed6c356ebe50", "memory_type": "task", "when_to_use": "When addressing user concerns about potential mechanical issues (e.g., vibrations) after completing a task (e.g., refueling).", "content": "Before attributing symptoms to one cause (e.g., tire pressure), systematically evaluate other possible factors and cross-check with available diagnostics to provide comprehensive feedback.", "score": 0.0, "time_created": "2025-08-04 07:44:57", "time_modified": "2025-08-04 07:44:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:57", "modified_time": "2025-08-04 07:44:57", "extra_info": {"tags": ["error_prevention", "failure_analysis", "diagnostics"], "confidence": 0.8, "step_type": "decision", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd8fc7d3beba41bbadde040d0d07f3dc", "memory_type": "task", "when_to_use": "When deleting a directory and its contents, but lacking tools to list or iterate through files.", "content": "If the function description does not explicitly confirm recursive deletion of non-empty directories, assume it cannot. Attempting such operations without confirmation can lead to incomplete tasks or unexpected errors.", "score": 0.0, "time_created": "2025-08-04 07:44:51", "time_modified": "2025-08-04 07:44:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:51", "modified_time": "2025-08-04 07:44:51", "extra_info": {"tags": ["error_prevention", "failure_analysis", "directory_deletion"], "confidence": 0.85, "step_type": "action", "tools_used": ["rm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "68aa94cca9994bdf95ae2cde5e6cee25", "memory_type": "task", "when_to_use": "When the task involves multiple dependent actions (e.g., deleting files before deleting a directory) but available tools don't support listing items.", "content": "In cases where intermediate steps cannot be executed due to missing functionality, re-evaluate whether the task can be completed with the given toolset. Communicate limitations to the user early to avoid unmet expectations.", "score": 0.0, "time_created": "2025-08-04 07:44:51", "time_modified": "2025-08-04 07:44:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:51", "modified_time": "2025-08-04 07:44:51", "extra_info": {"tags": ["error_prevention", "tool_limitations", "task_dependency"], "confidence": 0.8, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8aa92a2f40ea4cadb464420bdb0a26dd", "memory_type": "task", "when_to_use": "When deleting a directory and its contents, but the tools available do not explicitly support recursive deletion.", "content": "Ensure that the tool's functionality matches the intended operation. If the tool description does not clearly specify whether a function can handle recursive deletions, consider breaking down the task into smaller steps (e.g., listing files first, then deleting them individually) to avoid potential failures.", "score": 0.0, "time_created": "2025-08-04 07:45:05", "time_modified": "2025-08-04 07:45:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:05", "modified_time": "2025-08-04 07:45:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "directory_deletion"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["rm", "find", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b714ae10e79e4feb91d0cef215de39fb", "memory_type": "task", "when_to_use": "When relying on ambiguous or incomplete tool documentation for critical operations such as file system manipulations.", "content": "Always validate assumptions about tool behavior by checking whether the provided functions are capable of performing complex tasks like recursive directory deletion. When in doubt, use alternative approaches that guarantee step-by-step execution rather than assuming implicit functionality.", "score": 0.0, "time_created": "2025-08-04 07:45:05", "time_modified": "2025-08-04 07:45:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:05", "modified_time": "2025-08-04 07:45:05", "extra_info": {"tags": ["tool_validation", "failure_analysis", "ambiguous_documentation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["rm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "43edcd4a7de94448b1d56591818790da", "memory_type": "task", "when_to_use": "When needing to assess and update ticket priority based on external file metrics.", "content": "The sequence involved checking the character count of relevant files, then updating the ticket's priority accordingly. This ensures that decisions about task urgency are data-driven and tied directly to measurable criteria (e.g., file size).", "score": 0.0, "time_created": "2025-08-04 07:45:06", "time_modified": "2025-08-04 07:45:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:06", "modified_time": "2025-08-04 07:45:06", "extra_info": {"tags": ["ticket-management", "file-analysis", "priority-setting"], "confidence": 0.9, "step_type": "decision", "tools_used": ["get_ticket", "edit_ticket", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0f17fbf45e24172806e55ced4519516", "memory_type": "task", "when_to_use": "When navigating directories and searching for specific files with certain naming patterns.", "content": "The agent successfully navigated into a directory ('test') and identified all files containing 'test' in their names using appropriate commands like 'ls' and 'find'. This approach is efficient for targeted file discovery in nested folder structures.", "score": 0.0, "time_created": "2025-08-04 07:45:06", "time_modified": "2025-08-04 07:45:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:06", "modified_time": "2025-08-04 07:45:06", "extra_info": {"tags": ["file-navigation", "directory-traversal", "file-search"], "confidence": 0.85, "step_type": "action", "tools_used": ["ls", "cd", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3ca0ad30087f40f980eaca3d9cb37ee2", "memory_type": "task", "when_to_use": "When handling ambiguous user instructions that involve multiple steps or conditions.", "content": "Break down multi-part tasks into explicit, sequential sub-tasks and verify each condition before proceeding to the next step. Ambiguity in interpreting 'any' or 'all' can lead to incorrect conclusions.", "score": 0.0, "time_created": "2025-08-04 07:45:03", "time_modified": "2025-08-04 07:45:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:03", "modified_time": "2025-08-04 07:45:03", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_breakdown"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_ticket", "wc", "edit_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2a8e8825538441c3916fad1e7cdda5f9", "memory_type": "task", "when_to_use": "When needing to update system parameters (e.g., ticket priority) based on external data checks (e.g., file counts, character counts).", "content": "Always validate all relevant data points before making updates to avoid premature or incorrect actions. Ensure all necessary information is gathered before modifying system states.", "score": 0.0, "time_created": "2025-08-04 07:45:03", "time_modified": "2025-08-04 07:45:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:03", "modified_time": "2025-08-04 07:45:03", "extra_info": {"tags": ["error_prevention", "data_validation", "system_updates"], "confidence": 0.8, "step_type": "decision", "tools_used": ["wc", "edit_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bfb10105da17441c8152de8a70fddfc2", "memory_type": "task", "when_to_use": "When a user needs to delete the latest message sent to a specific receiver but encounters an error due to incorrect parameter usage.", "content": "After identifying that the function does not accept 'message_id' as a parameter, calling delete_message with only the receiver_id successfully deleted the latest message. This highlights the importance of aligning function calls with actual API parameter requirements rather than relying solely on documentation.", "score": 0.0, "time_created": "2025-08-04 07:44:54", "time_modified": "2025-08-04 07:44:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:54", "modified_time": "2025-08-04 07:44:54", "extra_info": {"tags": ["error handling", "parameter mismatch", "message deletion"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f55c7e8c99c445bb9066b7daa53f78a8", "memory_type": "task", "when_to_use": "When troubleshooting unexpected keyword argument errors in API calls.", "content": "Upon encountering an error about an unexpected keyword argument ('message_id'), re-evaluating the function's actual implementation and adjusting the call to exclude the problematic parameter resolved the issue. This demonstrates the utility of iterative testing and refining tool usage based on runtime feedback.", "score": 0.0, "time_created": "2025-08-04 07:44:54", "time_modified": "2025-08-04 07:44:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:54", "modified_time": "2025-08-04 07:44:54", "extra_info": {"tags": ["API debugging", "runtime error", "parameter refinement"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "241ba560aab4467885cf3dab66d66ae5", "memory_type": "task", "when_to_use": "When attempting to delete a message using the `delete_message` function and encountering unexpected keyword argument errors.", "content": "Verify that all parameters passed to a function match its expected signature. If an error persists despite correct usage, reassess whether the tool's documentation accurately reflects its implementation or if alternative methods exist for achieving the desired outcome.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6a822f5ff86a43af85b9b32fe7fbb05d", "memory_type": "task", "when_to_use": "When a tool fails due to mismatched parameter expectations (e.g., positional vs. keyword arguments).", "content": "Cross-check the actual function implementation against its documented interface. If discrepancies are found, adapt the call format accordingly or escalate the issue for clarification/documentation updates.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["tool_misuse", "implementation_discrepancy", "debugging"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "118ad6ab472b421bac3d98afb922194f", "memory_type": "task", "when_to_use": "When critical actions like deleting messages fail repeatedly, explore fallback strategies such as manual communication with stakeholders.", "content": "In cases where automated tools cannot resolve issues, consider human intervention or alternate workflows to mitigate potential impacts on user goals.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["fallback_strategy", "user_communication", "workflow_adaptation"], "confidence": 0.75, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c32bbf1afac7454ba24b0a31c00d696f", "memory_type": "task", "when_to_use": "When ensuring vehicle readiness for a journey, especially involving tire pressure checks and adjustments.", "content": "The agent first checked the tire pressure using 'check_tire_pressure'. Upon identifying that the rear tires were under the optimal threshold of 30.0 psi, it located the nearest tire shop with 'find_nearest_tire_shop' and set navigation to the shop using 'set_navigation'. This ensured the user could address the issue promptly.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["vehicle-readiness", "tire-pressure", "navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop", "set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e28b83d61d464ff999f6dc1520324840", "memory_type": "task", "when_to_use": "When preparing to start the engine but encountering sequential preconditions like locking doors and pressing the brake pedal.", "content": "The agent attempted to start the engine using 'startEngine', but encountered an error indicating the doors needed to be locked. It used 'lockDoors' to secure all doors, then handled another error about the brake pedal by engaging 'pressBrakePedal'. After these steps, the engine started successfully. This highlights the importance of addressing all safety protocols sequentially.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["engine-start", "safety-protocols", "sequential-actions"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "128a9732c2134c9282219fa36b30518b", "memory_type": "task", "when_to_use": "When refueling the vehicle and needing to convert fuel capacity into different units (e.g., gallons to liters).", "content": "After checking the fuel level with 'displayCarStatus', the agent filled the tank to its maximum capacity using 'fillFuelTank'. To provide additional information, it converted the fuel amount from gallons to liters using 'gallon_to_liter'. This provided a complete picture of the vehicle's fuel status in both units.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["fuel-management", "unit-conversion", "vehicle-preparation"], "confidence": 0.8, "step_type": "action", "tools_used": ["displayCarStatus", "fillFuelTank", "gallon_to_liter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c6d6f9e475c444a69aea6a9e59992083", "memory_type": "task", "when_to_use": "When preparing to start the engine after ensuring all safety measures are addressed.", "content": "Always verify that all preconditions, such as locked doors and pressed brake pedals, are met before attempting to start the engine. Failure to do so will result in errors.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42a52ca3dbe34b2d9e6ebca9ba0bf477", "memory_type": "task", "when_to_use": "When interpreting user intent for starting the engine after it has already been started.", "content": "Clarify whether restarting the engine is necessary if the user requests to 'ignite' or 'start' the car again. Confirm the current engine state to avoid redundant actions.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "user_intent", "redundant_actions"], "confidence": 0.8, "step_type": "decision", "tools_used": ["displayCarStatus", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ab07c060ac74406ca3d6316f018a7ae0", "memory_type": "task", "when_to_use": "When managing sequential tasks involving multiple vehicle systems.", "content": "Ensure proper sequencing of operations by checking dependencies between tools (e.g., locking doors before starting the engine). Skipping steps can lead to cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "task_sequencing", "dependencies"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop", "set_navigation", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1de161bf2194394b2833da280ba772a", "memory_type": "task", "when_to_use": "When handling multi-step tasks that require sequential preconditions to be met before reaching the primary goal.", "content": "The agent successfully navigated through a series of dependent actions, ensuring prerequisites such as locking doors and pressing the brake pedal were completed prior to starting the engine. This step-by-step validation ensured no errors occurred during execution and allowed for clear tracking of progress.", "score": 0.0, "time_created": "2025-08-04 07:45:28", "time_modified": "2025-08-04 07:45:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:28", "modified_time": "2025-08-04 07:45:28", "extra_info": {"tags": ["multi-step", "sequential-dependencies", "task-validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "619493528f8a4ec8b934fb324cb04d78", "memory_type": "task", "when_to_use": "When needing to retrieve specific system statuses or configurations after completing an operation.", "content": "After successfully starting the engine, the agent retrieved detailed status information (e.g., battery voltage, fan speed) by using appropriate diagnostic functions. This approach ensures comprehensive reporting and meets user expectations effectively.", "score": 0.0, "time_created": "2025-08-04 07:45:28", "time_modified": "2025-08-04 07:45:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:28", "modified_time": "2025-08-04 07:45:28", "extra_info": {"tags": ["status-retrieval", "post-operation-checks", "detailed-reporting"], "confidence": 0.85, "step_type": "observation", "tools_used": ["displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f8b6063cd78444ecb55072e43b47bef3", "memory_type": "task", "when_to_use": "When the task involves multiple sequential actions that depend on preconditions or system states.", "content": "Always verify and address all prerequisites before attempting a key action, such as ensuring doors are locked and the brake pedal is pressed before starting an engine. Missing these steps can cause cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "prerequisites"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1c4ce70e193f4fa1aa39a69a9ed18aa3", "memory_type": "task", "when_to_use": "When converting between units of measurement for critical tasks like fuel refills.", "content": "Ensure conversions (e.g., liters to gallons) are handled accurately and rounded appropriately based on user requirements to avoid miscommunication or errors in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "unit_conversion", "precision"], "confidence": 0.85, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ce070005a2cd47c7945768481e8765c1", "memory_type": "task", "when_to_use": "When interpreting ambiguous terms in user requests (e.g., 'AC speed').", "content": "Clarify with the user or infer from available tools whether a term refers to a specific parameter (e.g., fanSpeed). Misinterpretation can lead to incomplete or incorrect responses.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "ambiguity_resolution", "user_communication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b1f560b2b281461686e5f8e9cb3225ce", "memory_type": "task", "when_to_use": "When navigating directories and encountering 'No such directory' errors despite expecting the directory to exist.", "content": "Always verify the current working directory using 'pwd' before attempting directory changes. Misaligned expectations about the current directory can lead to cascading failures in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "directory_navigation", "current_working_directory"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["cd", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ba7c309163434e0c9ac6554e8ebd2118", "memory_type": "task", "when_to_use": "When moving files and receiving 'No such file or directory' errors, despite believing the file exists.", "content": "Before executing file operations, confirm the presence of the target file using 'ls' or 'find'. Missing files are a common cause of failure when the expected directory structure is incorrect or misaligned with the agent's assumptions.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "file_verification", "directory_structure"], "confidence": 0.85, "step_type": "action", "tools_used": ["mv", "ls", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "456f5bd198e1419d9d0126d5dcb19674", "memory_type": "task", "when_to_use": "When attempting to perform operations on files located in subdirectories but encountering access issues.", "content": "Tool limitations often restrict operations to the current directory only. Ensure all necessary files are moved to or created in the current directory before performing operations like 'diff', 'grep', or 'sort'. Attempting cross-directory operations without confirming tool capabilities leads to predictable failures.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "tool_limitations", "file_operations"], "confidence": 0.8, "step_type": "decision", "tools_used": ["diff", "grep", "sort", "mv"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e6e443ea1ab441aaac8545f7a3f72141", "memory_type": "task", "when_to_use": "When handling file operations such as moving files between directories, ensure the correct directory structure and current working directory are verified before executing commands.", "content": "Always confirm the current working directory and existence of target subdirectories to prevent 'file not found' or 'directory not found' errors during file operations.", "score": 0.0, "time_created": "2025-08-04 07:45:25", "time_modified": "2025-08-04 07:45:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:25", "modified_time": "2025-08-04 07:45:25", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_structure"], "confidence": 0.9, "step_type": "action", "tools_used": ["mv", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "726e4dc189644ff78f91e6c410188b46", "memory_type": "task", "when_to_use": "When comparing files using tools like 'diff', ensure both files reside in the same directory or adjust the current working directory accordingly.", "content": "Comparison functions require files to be accessible in the current working directory; neglecting to change directories may lead to incorrect tool usage or errors.", "score": 0.0, "time_created": "2025-08-04 07:45:25", "time_modified": "2025-08-04 07:45:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:25", "modified_time": "2025-08-04 07:45:25", "extra_info": {"tags": ["error_prevention", "file_comparison", "working_directory"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["diff", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ecae2a635962407394b7afc8b3cdb9b3", "memory_type": "task", "when_to_use": "When handling multi-step user requests involving external API calls with interdependent parameters.", "content": "The assistant successfully navigated a complex sequence of actions by first retrieving the flight cost using get_flight_cost, then proceeding to book the flight. Despite an unexpected error regarding the 'travel_cost' parameter during the initial booking attempt, the assistant adapted by omitting the parameter and successfully completed the booking. The cancellation and subsequent tweet posting were handled seamlessly. This demonstrates adaptability in addressing runtime errors while maintaining the logical flow of dependent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:30", "time_modified": "2025-08-04 07:45:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:30", "modified_time": "2025-08-04 07:45:30", "extra_info": {"tags": ["multi-step", "API", "error-handling", "parameter-validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_flight_cost", "book_flight", "cancel_booking", "authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7e5757a580ad419f963ce6a7feb80aca", "memory_type": "task", "when_to_use": "When encountering discrepancies between tool documentation and actual function behavior.", "content": "The assistant encountered an error where the documented required parameter 'travel_cost' was not accepted by the book_flight function. By analyzing the error and testing the function without the parameter, the assistant resolved the issue. This highlights the importance of validating tool behavior against documentation and adjusting dynamically when inconsistencies arise.", "score": 0.0, "time_created": "2025-08-04 07:45:30", "time_modified": "2025-08-04 07:45:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:30", "modified_time": "2025-08-04 07:45:30", "extra_info": {"tags": ["tool-discrepancy", "error-resolution", "dynamic-adjustment"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ebe3de32100d419bb917b623eef0c25b", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools where intermediate outputs are required for subsequent steps.", "content": "Always verify that all necessary parameters are provided or can be derived before initiating a sequence of actions. If a parameter like 'travel_cost' is missing, ensure there's a clear path to obtaining it (e.g., via a preceding function call).", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["error_prevention", "parameter_validation", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8b2155633f144923a09fa20bee76017c", "memory_type": "task", "when_to_use": "When the user's request involves canceling an action they just requested, such as booking and then canceling a flight.", "content": "Ensure clarity in whether the initial action (booking) has already been executed before attempting its reversal (cancellation). If not explicitly stated, confirm with the user or proceed with caution by executing the booking first, capturing any required identifiers, and then performing the cancellation.", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["error_prevention", "action_reversal", "user_clarity"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "346be39f92ae40a5bdba986787fa8233", "memory_type": "task", "when_to_use": "When integrating multiple external systems requiring authentication (e.g., Twitter and travel systems).", "content": "Prioritize authenticating each system before executing dependent functions. Ensure credentials are correctly passed and validated to avoid downstream failures during task execution.", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["authentication", "integration", "external_systems"], "confidence": 0.85, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5c7b3386acae4f259a1ad888c3ad1550", "memory_type": "task", "when_to_use": "When needing to locate a specific file in a directory and extract relevant information from it.", "content": "The agent successfully navigated to the 'ResearchDocs' directory using `cd`, located the file 'report.csv' with `find`, then used `grep` to extract lines containing 'Quarterly Financial Overview'. This sequence demonstrates effective use of chaining commands to refine search results and focus on specific content within files, ensuring precision and efficiency.", "score": 0.0, "time_created": "2025-08-04 07:45:50", "time_modified": "2025-08-04 07:45:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:50", "modified_time": "2025-08-04 07:45:50", "extra_info": {"tags": ["file_search", "directory_navigation", "content_extraction"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "find", "grep"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a3c3569023764638bfa2abf145465914", "memory_type": "task", "when_to_use": "When required to add a new contact and send them a message after completing a task.", "content": "After locating and reviewing the necessary file, the agent logged in as USR001, added 'John Levy' as a new contact via `add_contact`, and subsequently sent him a message about the latest quarter's performance using `send_message`. This highlights the importance of correctly handling sequential dependencies (e.g., obtaining the receiver's user ID before sending a message) and maintaining clarity in multi-step workflows.", "score": 0.0, "time_created": "2025-08-04 07:45:50", "time_modified": "2025-08-04 07:45:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:50", "modified_time": "2025-08-04 07:45:50", "extra_info": {"tags": ["contact_management", "messaging", "task_completion"], "confidence": 0.85, "step_type": "action", "tools_used": ["message_login", "add_contact", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3e8466f6027840fd8a94eab1e4c88a88", "memory_type": "task", "when_to_use": "When chaining multiple dependent actions requiring output from previous steps (e.g., adding a contact and using their user ID).", "content": "Always validate that outputs from prior steps (such as user IDs) are correctly passed into subsequent actions to avoid mismatched or incorrect inputs.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["error_prevention", "dependency_management", "input_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["add_contact", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "173ac97e34dc4d999558a34e12cc2cfd", "memory_type": "task", "when_to_use": "When executing commands involving file navigation or content extraction, ensure proper tool selection based on the task requirements.", "content": "Ensure that tools like 'cd', 'find', 'grep', and 'tail' are used appropriately for directory navigation, file discovery, pattern matching, and line extraction respectively to prevent misaligned operations.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["tool_usage", "command_structure", "file_operations"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "find", "grep", "tail"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "47e77d0fbdfb497c83c84fafb98e37b8", "memory_type": "task", "when_to_use": "When performing multi-step workflows with authentication dependencies (e.g., logging in before other actions).", "content": "Verify successful completion of prerequisite steps (like login status checks) before proceeding to dependent tasks to maintain workflow integrity.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["authentication", "workflow_integrity", "step_dependencies"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login", "add_contact"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1bde5e9164c49549dd1338557ffb09d", "memory_type": "task", "when_to_use": "When needing to compare two files and save the differences into a new file.", "content": "The agent first used 'diff' to identify line-by-line differences between two files. Then it utilized 'echo' to write those differences into a newly created file, ensuring proper formatting and preservation of newline characters. This sequential approach efficiently captures and stores file differences for further use.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["file comparison", "difference extraction", "content writing"], "confidence": 0.9, "step_type": "action", "tools_used": ["diff", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc34f2cba6b7486f83dd7bdcc1ae3b7c", "memory_type": "task", "when_to_use": "When navigating directories and retrieving specific file content.", "content": "The agent successfully navigated to the target directory using 'cd', listed the contents with 'ls' to identify relevant files, and then used 'tail' to extract the last line from the specified file. This pattern ensures accurate navigation and retrieval of targeted file content.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["directory navigation", "file listing", "content extraction"], "confidence": 0.85, "step_type": "action", "tools_used": ["cd", "ls", "tail"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "68b2f707e77448ea8e830c0843c7972c", "memory_type": "task", "when_to_use": "When navigating directories and interacting with files, ensure the correct file names are referenced based on the current working directory's content.", "content": "Always verify the current directory's contents using 'ls' or similar tools before performing operations on files to avoid referencing non-existent or incorrect files.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["ls", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "25da03ce4e834920920372b9ffc8cf42", "memory_type": "task", "when_to_use": "When performing multi-step operations involving file creation or writing differences into a new file, validate intermediate outputs to ensure data integrity.", "content": "After each operation (e.g., diff), explicitly check its output before proceeding to dependent steps (e.g., echo) to prevent propagating errors or missing data.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_integrity"], "confidence": 0.85, "step_type": "observation", "tools_used": ["diff", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1cba55bfc23c452bb5acf19f5db047a3", "memory_type": "task", "when_to_use": "When handling multiple API calls, ensure all required arguments align with the expected parameters of the function.", "content": "Mismatched or unexpected arguments in API calls can lead to execution errors. Always cross-check the tool's parameter requirements before making a call.", "score": 0.0, "time_created": "2025-08-04 07:45:40", "time_modified": "2025-08-04 07:45:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:40", "modified_time": "2025-08-04 07:45:40", "extra_info": {"tags": ["error_prevention", "api_parameters", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "826d4ef996824dd1bd0859f66130b279", "memory_type": "task", "when_to_use": "When retrieving user messages for context, verify if the content is relevant to the ongoing task to avoid unnecessary steps.", "content": "Retrieving unrelated or off-topic messages can sidetrack the workflow. Ensure retrieved data directly contributes to solving the current problem.", "score": 0.0, "time_created": "2025-08-04 07:45:40", "time_modified": "2025-08-04 07:45:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:40", "modified_time": "2025-08-04 07:45:40", "extra_info": {"tags": ["context_relevance", "failure_analysis", "user_messages"], "confidence": 0.8, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1baefe84430c49b1b9424f2f7547ae60", "memory_type": "task", "when_to_use": "When verifying traveler information, ensure all provided details are accurate and meet system requirements.", "content": "Always double-check the format and validity of critical input data such as passport numbers and dates of birth before calling verification functions. Invalid or improperly formatted inputs can lead to immediate failure.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["error_prevention", "data_validation", "travel_verification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["verify_traveler_information"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5611e1cebe64e549f9c4fea17e41cde", "memory_type": "task", "when_to_use": "When using API functions with strict parameter requirements, confirm that all required arguments match the expected format and exclude any unnecessary ones.", "content": "Including unexpected or deprecated parameters (e.g., 'travel_cost' in book_flight) can cause function execution errors. Always cross-check the latest API documentation for correct usage.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["api_usage", "parameter_validation", "function_errors"], "confidence": 0.85, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8228f03bc3804d8fa84b760937b3cac9", "memory_type": "task", "when_to_use": "When retrieving messages related to a specific task or context, ensure the correct tool is used to capture relevant communications.", "content": "General message retrieval tools may not always align with task-specific needs. If no filtering options exist, consider whether the retrieved data sufficiently addresses the user’s query before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["message_retrieval", "context_alignment", "user_communication"], "confidence": 0.75, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e98bc38dd369411bbab303eeea304d2c", "memory_type": "task", "when_to_use": "When performing multi-step vehicle preparation tasks (e.g., fueling, engine start, safety checks) where dependencies exist between steps.", "content": "The agent successfully executed a sequence of interdependent actions by first identifying critical prerequisites (like locking doors and pressing the brake pedal) before proceeding with higher-level tasks (starting the engine). This ensured operational safety and prevented errors.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["vehicle-preparation", "interdependent-actions", "safety-first"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1414b45a233d4debbfb87e44cdf06dfb", "memory_type": "task", "when_to_use": "When validating system outputs against user-defined thresholds (e.g., tire pressure checks) to ensure safety or compliance.", "content": "The agent cross-verified tire pressures against a user-specified threshold (33 psi). Despite conflicting system feedback ('healthy_tire_pressure': true), it prioritized user requirements, identified under-inflated tires, and recommended corrective action (nearest tire shop).", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["threshold-validation", "user-preference", "error-handling"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6d532f3773dc43e8aa1e281ade5579fb", "memory_type": "task", "when_to_use": "When performing multi-step operations where the order of execution is critical (e.g., locking doors before starting an engine).", "content": "Ensure that all prerequisite steps are completed successfully before proceeding to dependent actions. Validate intermediate states when responses indicate potential discrepancies.", "score": 0.0, "time_created": "2025-08-04 07:46:07", "time_modified": "2025-08-04 07:46:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:07", "modified_time": "2025-08-04 07:46:07", "extra_info": {"tags": ["error_prevention", "dependency_management", "sequence_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "df81ad2b217540b4878683bee5c5bb12", "memory_type": "task", "when_to_use": "When evaluating system health flags (e.g., healthy_tire_pressure) alongside specific threshold checks.", "content": "Do not rely solely on high-level health flags; verify individual metrics explicitly against required thresholds to ensure accuracy and safety.", "score": 0.0, "time_created": "2025-08-04 07:46:07", "time_modified": "2025-08-04 07:46:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:07", "modified_time": "2025-08-04 07:46:07", "extra_info": {"tags": ["threshold_validation", "health_check", "explicit_verification"], "confidence": 0.85, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5123a71518a8469db9fcffe908da220f", "memory_type": "task", "when_to_use": "When extracting numerical data from text files for calculations, ensure all relevant numbers are correctly identified and parsed.", "content": "Always verify that the correct values are extracted from file contents before performing mathematical operations. Misinterpretation of file content can lead to incorrect calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:14", "time_modified": "2025-08-04 07:46:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:14", "modified_time": "2025-08-04 07:46:14", "extra_info": {"tags": ["error_prevention", "data_extraction", "calculation_accuracy"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["tail", "mean", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6d6fcaa799594241abc890e8c25c72e1", "memory_type": "task", "when_to_use": "When writing results to a file, confirm that the output format strictly matches user requirements.", "content": "Ensure that outputs written to files contain only the specified data without additional characters or formatting. This avoids discrepancies between expected and actual file content.", "score": 0.0, "time_created": "2025-08-04 07:46:14", "time_modified": "2025-08-04 07:46:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:14", "modified_time": "2025-08-04 07:46:14", "extra_info": {"tags": ["file_operations", "output_validation", "user_requirements"], "confidence": 0.85, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2ea34205d508403c862ada8453bbf8b9", "memory_type": "task", "when_to_use": "When extracting and processing multiple numeric values from a text file to perform calculations.", "content": "Ensure that the correct numbers are identified and extracted from the text, avoiding confusion with unrelated data in the same line or section of the file. Validate that all required values are present before proceeding with further calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:15", "time_modified": "2025-08-04 07:46:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:15", "modified_time": "2025-08-04 07:46:15", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_extraction"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["tail", "mean", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a2cc91fa6b164f9b9bb392583263a7bb", "memory_type": "task", "when_to_use": "When writing calculated results to a new file as per user request.", "content": "Double-check that only the exact required content is written to the file by verifying both the format and precision of the output. Avoid including any unintended additional characters or decimal points if the requirement specifies otherwise.", "score": 0.0, "time_created": "2025-08-04 07:46:15", "time_modified": "2025-08-04 07:46:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:15", "modified_time": "2025-08-04 07:46:15", "extra_info": {"tags": ["error_prevention", "file_operations", "output_validation"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dbe9b4e56cd04fc39366fb74d5bd8139", "memory_type": "task", "when_to_use": "When needing to calculate derived values (e.g., logarithm) based on previously obtained results.", "content": "After successfully obtaining the distance between two cities, the agent seamlessly transitioned to calculating a logarithmic value by using the 'logarithm' function with specified precision. This step demonstrated effective chaining of operations where the output of one computation feeds directly into the next.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["derived calculation", "logarithm", "chained operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "843a6521dac34503b216778f362a0a5e", "memory_type": "task", "when_to_use": "When multiple external tools or functions need to be called in sequence to achieve a multi-step goal.", "content": "The agent efficiently used a sequence of tool calls ('get_zipcode_based_on_city', 'estimate_distance', and 'logarithm') to first find zip codes, estimate the distance, and then compute the logarithm. The structured approach ensured clarity and precision at each step, leading to accurate final results.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["multi-step task", "tool chaining", "distance estimation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance", "logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ff2eb0e793ce40b0a0c8579558d4fe9c", "memory_type": "task", "when_to_use": "When needing to calculate distances between two locations, ensure all required data points (e.g., zipcodes or city names) are collected before proceeding with distance estimation.", "content": "Always confirm that all inputs for a calculation are available and valid before invoking functions. Missing or incorrect inputs can derail subsequent steps and calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["error_prevention", "input_validation", "distance_calculation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b286f687a31446fba5cbf1c18549185", "memory_type": "task", "when_to_use": "When performing multi-step calculations involving intermediate results (e.g., distance then logarithm), ensure each step's output is validated before using it in the next function.", "content": "Intermediate results should be verified as accurate and within expected ranges before proceeding to dependent operations. Skipping validation can propagate errors downstream.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["error_prevention", "intermediate_validation", "logarithmic_calculation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["estimate_distance", "logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e4692a3c40ae421d9a2bf08c6cb7fa8b", "memory_type": "task", "when_to_use": "When handling user queries with multiple parts (e.g., distance + logarithm), prioritize clarity in communication by explicitly stating which part of the query is being addressed at each stage.", "content": "Clear communication of progress helps manage user expectations and ensures alignment on multi-part tasks. Ambiguity in task status can lead to confusion or redundant requests.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["user_communication", "query_clarity", "multi_part_tasks"], "confidence": 0.8, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7bdc991d7ffb48f98b267c3289a68bcd", "memory_type": "task", "when_to_use": "When writing data to a file, especially with specific formatting requirements.", "content": "Always verify the exact format requested by the user (e.g., only numbers, no additional text) before writing to the file to prevent mismatches between expectations and output.", "score": 0.0, "time_created": "2025-08-04 07:46:19", "time_modified": "2025-08-04 07:46:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:19", "modified_time": "2025-08-04 07:46:19", "extra_info": {"tags": ["error_prevention", "file_operations", "user_requirements"], "confidence": 0.9, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9115745606874454a3d097066b4dfb0a", "memory_type": "task", "when_to_use": "When performing mathematical operations and saving results into files.", "content": "After calculating values like mean or standard deviation, confirm that subsequent actions (e.g., rounding or formatting) align with user instructions before proceeding with file creation.", "score": 0.0, "time_created": "2025-08-04 07:46:19", "time_modified": "2025-08-04 07:46:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:19", "modified_time": "2025-08-04 07:46:19", "extra_info": {"tags": ["math_operations", "file_creation", "accuracy"], "confidence": 0.85, "step_type": "decision", "tools_used": ["mean", "round_number", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36a9fb53dff246dba9adfe0fd61f9aa7", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies exact content formatting.", "content": "Always verify that the written content matches the user's explicit formatting requirements before confirming task completion. Missing this step can lead to output inconsistencies, such as including unintended text or metadata.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["error_prevention", "file_operations", "content_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["echo", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a41050eb464e455685413e773b7ada0a", "memory_type": "task", "when_to_use": "When performing calculations and writing results into files based on user requests.", "content": "After calculating values (e.g., mean revenue), ensure intermediate steps like rounding are explicitly handled and documented in the agent’s reasoning. Skipping clarity in these steps can confuse users about how final outputs were derived.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["calculation_handling", "rounding", "user_communication"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ec9eda603fc424999c1c7c425507c7c", "memory_type": "task", "when_to_use": "When using tools with optional parameters for file creation or modification.", "content": "Explicitly define all necessary arguments when invoking functions like 'echo', ensuring no implicit defaults alter the intended outcome. For example, failing to specify `content` properly could result in malformed files.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["tool_usage", "argument_specification", "error_prevention"], "confidence": 0.75, "step_type": "decision", "tools_used": ["echo"]}}}
|
||||
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|
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|
||||
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|
||||
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||||
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|
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|
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|
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|
||||
function clampTxt(s, n){ if(!s) return ""; return s.length<=n? s : s.slice(0,n)+"…"; }
|
||||
const fmtDate = (t)=> t ? new Date(t).toLocaleDateString() : "Unknown";
|
||||
function debounce(fn, ms=250){ let t; return (...a)=>{ clearTimeout(t); t=setTimeout(()=>fn(...a), ms); }; }
|
||||
function fileBase(name){ return name.replace(/\.jsonl$/,""); }
|
||||
|
||||
// —— Data Loading
|
||||
async function loadAll(){
|
||||
setLoading(true); setError(false);
|
||||
try{
|
||||
const arr = await Promise.all(FILES.map(async f=>{
|
||||
try{
|
||||
const res = await fetch(new URL(f, DATA_BASE));
|
||||
if(!res.ok) return [];
|
||||
const txt = await res.text();
|
||||
return txt.split("\n").filter(l=>l.trim()).map(line=>{
|
||||
try{
|
||||
const obj = JSON.parse(line);
|
||||
obj._library = fileBase(f);
|
||||
return obj;
|
||||
}catch{ return null; }
|
||||
}).filter(Boolean);
|
||||
}catch{ return []; }
|
||||
}));
|
||||
ALL = arr.flat();
|
||||
if(!ALL.length) throw new Error("no data");
|
||||
GROUPED = ALL.reduce((acc,m)=>{
|
||||
(acc[m._library] ||= []).push(m);
|
||||
return acc;
|
||||
}, {});
|
||||
renderLibraries();
|
||||
}catch(e){
|
||||
setError(true);
|
||||
}finally{
|
||||
setLoading(false);
|
||||
}
|
||||
}
|
||||
|
||||
function createMemoryModal() {
|
||||
// 外层 <dialog>
|
||||
const dlg = document.createElement('dialog');
|
||||
dlg.id = 'ml-modal';
|
||||
dlg.className = 'ml-modal';
|
||||
dlg.innerHTML = `
|
||||
<form method="dialog" class="ml-modal-card">
|
||||
<div class="ml-modal-header">
|
||||
<div>
|
||||
<div class="ml-chip" id="ml-modal-lib"></div>
|
||||
<div class="ml-chip success" id="ml-modal-score" hidden></div>
|
||||
</div>
|
||||
<button class="ml-close" aria-label="Close">✕</button>
|
||||
</div>
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">When to use</div>
|
||||
<div class="ml-code" id="ml-modal-when"></div>
|
||||
</div>
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">Memory</div>
|
||||
<div class="ml-note" id="ml-modal-content"></div>
|
||||
</div>
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">Metadata</div>
|
||||
<div class="ml-meta">
|
||||
<div><span>Author</span><b id="ml-modal-author"></b></div>
|
||||
<div><span>Created</span><b id="ml-modal-created"></b></div>
|
||||
<div><span>Memory ID</span><b id="ml-modal-id" class="mono"></b></div>
|
||||
<div><span>Workspace</span><b id="ml-modal-ws" class="mono"></b></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="ml-modal-footer">
|
||||
<button class="ml-btn secondary" value="cancel">Close</button>
|
||||
</div>
|
||||
</form>
|
||||
`;
|
||||
document.body.appendChild(dlg);
|
||||
|
||||
// 缓存内部节点（创建后一定存在，不会为 null）
|
||||
const els = {
|
||||
lib: dlg.querySelector('#ml-modal-lib'),
|
||||
score: dlg.querySelector('#ml-modal-score'),
|
||||
when: dlg.querySelector('#ml-modal-when'),
|
||||
content: dlg.querySelector('#ml-modal-content'),
|
||||
author: dlg.querySelector('#ml-modal-author'),
|
||||
created: dlg.querySelector('#ml-modal-created'),
|
||||
id: dlg.querySelector('#ml-modal-id'),
|
||||
ws: dlg.querySelector('#ml-modal-ws'),
|
||||
closeBtn: dlg.querySelector('.ml-close'),
|
||||
card: dlg.querySelector('.ml-modal-card')
|
||||
};
|
||||
|
||||
// —— 打开/关闭（含退化）
|
||||
function openDialog() {
|
||||
try {
|
||||
if (typeof dlg.showModal === 'function') {
|
||||
dlg.showModal();
|
||||
} else {
|
||||
dlg.setAttribute('open', '');
|
||||
dlg.classList.add('is-open-fallback');
|
||||
document.documentElement.style.overflow = 'hidden';
|
||||
}
|
||||
} catch {
|
||||
dlg.setAttribute('open', '');
|
||||
dlg.classList.add('is-open-fallback');
|
||||
document.documentElement.style.overflow = 'hidden';
|
||||
}
|
||||
}
|
||||
function closeDialog() {
|
||||
try { if (typeof dlg.close === 'function') dlg.close(); } finally {
|
||||
dlg.removeAttribute('open');
|
||||
dlg.classList.remove('is-open-fallback');
|
||||
document.documentElement.style.overflow = '';
|
||||
}
|
||||
}
|
||||
|
||||
// —— 交互
|
||||
els.closeBtn?.addEventListener('click', (e) => {
|
||||
e.preventDefault();
|
||||
closeDialog();
|
||||
});
|
||||
dlg.addEventListener('close', () => {
|
||||
// 原生 close 触发也兜一层
|
||||
dlg.removeAttribute('open');
|
||||
dlg.classList.remove('is-open-fallback');
|
||||
document.documentElement.style.overflow = '';
|
||||
});
|
||||
// 退化模式：点击遮罩关闭
|
||||
dlg.addEventListener('click', (e) => {
|
||||
if (!dlg.classList.contains('is-open-fallback')) return;
|
||||
const r = els.card?.getBoundingClientRect();
|
||||
if (!r) return;
|
||||
const inside =
|
||||
e.clientX >= r.left && e.clientX <= r.right &&
|
||||
e.clientY >= r.top && e.clientY <= r.bottom;
|
||||
if (!inside) closeDialog();
|
||||
});
|
||||
|
||||
// —— 对外：填充并打开
|
||||
function fmtDate(t){ return t ? new Date(t).toLocaleDateString() : 'Unknown'; }
|
||||
|
||||
function open(m) {
|
||||
// 只在这里填充内容；字段缺失时给默认值
|
||||
els.lib.textContent = m._library || 'Unknown';
|
||||
if ('score' in m && m.score !== null && m.score !== undefined) {
|
||||
els.score.textContent = `Score: ${m.score}`;
|
||||
els.score.hidden = false;
|
||||
} else {
|
||||
els.score.hidden = true;
|
||||
}
|
||||
els.when.textContent = m.when_to_use || 'No specific guidance provided';
|
||||
els.content.textContent = m.content || 'No content available';
|
||||
els.author.textContent = m.author || 'Unknown';
|
||||
els.created.textContent = fmtDate(m.time_created);
|
||||
els.id.textContent = m.memory_id || 'N/A';
|
||||
els.ws.textContent = m.workspace_id || 'N/A';
|
||||
|
||||
openDialog();
|
||||
}
|
||||
|
||||
return { open, close: closeDialog };
|
||||
}
|
||||
|
||||
// —— Render — Libraries (stacked categories)
|
||||
function renderLibraries(){
|
||||
VIEW = "libraries"; CURR = null;
|
||||
PAGE = 1; CURRENT_MEM_LIST = [];
|
||||
hide(elMemories); hide(elEmpty); hide(elPagination); show(elLibraries);
|
||||
hide(elCrumb);
|
||||
elCrumbTitle.textContent = "Libraries";
|
||||
elType.textContent = "libraries";
|
||||
|
||||
const availableLibs = Object.keys(GROUPED);
|
||||
|
||||
const sections = Object.entries(CATEGORY_MAP).map(([cat, prefixes])=>{
|
||||
// build libraries list for this category
|
||||
const libs = (prefixes || []).filter(p => availableLibs.includes(p));
|
||||
const itemsHtml = libs.map(name=>{
|
||||
const arr = GROUPED[name];
|
||||
const sample = arr[0] || {};
|
||||
const sampleText = sample.when_to_use || sample.content || "No description available";
|
||||
const author = sample.author || "Unknown";
|
||||
return `
|
||||
<div class="ml-card-item" data-lib="${name}">
|
||||
<div class="ml-card-head">
|
||||
<div>
|
||||
<div class="ml-card-title">${name}</div>
|
||||
<div class="ml-card-sub">${arr.length} memories</div>
|
||||
</div>
|
||||
<div class="ml-chip">DB</div>
|
||||
</div>
|
||||
<div class="ml-card-sample">${clampTxt(sampleText, 180)}</div>
|
||||
<div class="ml-card-foot">
|
||||
<span>👤 ${author}</span>
|
||||
<span>View →</span>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}).join("");
|
||||
|
||||
// Category header with Finance (beta) chip
|
||||
const betaChip = (cat === "Finance") ? `<span class="ml-chip beta">beta</span>` : "";
|
||||
const contributeChip = (cat === "Medical/Law/Education") ? `<span class="ml-chip contribute">Feel free to contribute</span>` : "";
|
||||
|
||||
return `
|
||||
<section class="ml-section">
|
||||
<h3>${cat} ${betaChip} ${contributeChip}</h3>
|
||||
<div class="ml-grid">
|
||||
${itemsHtml}
|
||||
</div>
|
||||
</section>
|
||||
`;
|
||||
}).join("");
|
||||
|
||||
elLibraries.innerHTML = sections;
|
||||
|
||||
bindLibraryClicks();
|
||||
|
||||
show(elStats);
|
||||
const catsShown = Object.keys(CATEGORY_MAP).length;
|
||||
const libsShown = Object.values(CATEGORY_MAP)
|
||||
.reduce((acc, prefixes) => acc + prefixes.filter(p => availableLibs.includes(p)).length, 0);
|
||||
$("ml-count").textContent = libsShown;
|
||||
$("ml-total").textContent = libsShown;
|
||||
}
|
||||
|
||||
// —— Render — Memories with Pagination
|
||||
function renderMemories(memList){
|
||||
VIEW = "memories";
|
||||
hide(elLibraries); hide(elEmpty); show(elMemories);
|
||||
show(elCrumb);
|
||||
elType.textContent = "memories";
|
||||
elCrumbTitle.textContent = `Exploring ${CURR}`;
|
||||
|
||||
CURRENT_MEM_LIST = memList || [];
|
||||
if(!CURRENT_MEM_LIST.length){
|
||||
hide(elMemories); hide(elPagination); show(elEmpty); hide(elStats); return;
|
||||
}
|
||||
|
||||
const total = CURRENT_MEM_LIST.length;
|
||||
const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));
|
||||
if(PAGE > pages) PAGE = pages;
|
||||
|
||||
const startIdx = (PAGE - 1) * PAGE_SIZE;
|
||||
const endIdx = Math.min(startIdx + PAGE_SIZE, total);
|
||||
const pageItems = CURRENT_MEM_LIST.slice(startIdx, endIdx);
|
||||
|
||||
elMemories.innerHTML = pageItems.map((m,idxOnPage)=>`
|
||||
<div class="ml-card-item" data-idx="${startIdx + idxOnPage}">
|
||||
<div class="ml-card-head">
|
||||
<div class="ml-chip">${m._library}</div>
|
||||
${("score" in m && m.score !== null && m.score !== undefined) ? `<div class="ml-chip success">Score: ${m.score}</div>` : ""}
|
||||
</div>
|
||||
<div class="ml-card-sample"><b>When to use:</b> ${clampTxt(m.when_to_use || "No specific guidance provided", 140)}</div>
|
||||
<div class="ml-card-foot">
|
||||
<span>👤 ${m.author || "Unknown"}</span>
|
||||
<span>Details →</span>
|
||||
</div>
|
||||
</div>
|
||||
`).join("");
|
||||
|
||||
|
||||
const modal = createMemoryModal();
|
||||
// modal binding
|
||||
[...elMemories.querySelectorAll(".ml-card-item")].forEach(card=>{
|
||||
card.addEventListener("click", ()=>{
|
||||
const absIdx = Number(card.getAttribute("data-idx"));
|
||||
const m = CURRENT_MEM_LIST[absIdx];
|
||||
modal.open(m);
|
||||
});
|
||||
});
|
||||
|
||||
// pagination controls
|
||||
show(elPagination);
|
||||
elPageRange.textContent = `Showing ${startIdx + 1}–${endIdx} of ${total}`;
|
||||
elPrev.disabled = PAGE <= 1;
|
||||
elNext.disabled = PAGE >= pages;
|
||||
|
||||
elPrev.onclick = ()=>{ if(PAGE > 1){ PAGE--; renderMemories(CURRENT_MEM_LIST); } };
|
||||
elNext.onclick = ()=>{ if(PAGE < pages){ PAGE++; renderMemories(CURRENT_MEM_LIST); } };
|
||||
|
||||
show(elStats);
|
||||
elCount.textContent = pageItems.length;
|
||||
elTotal.textContent = total;
|
||||
}
|
||||
|
||||
|
||||
function bindLibraryClicks(){
|
||||
[...elLibraries.querySelectorAll(".ml-card-item[data-lib]")].forEach(card=>{
|
||||
card.addEventListener("click", ()=>{
|
||||
CURR = card.getAttribute("data-lib");
|
||||
PAGE = 1;
|
||||
renderMemories(GROUPED[CURR]);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
// —— Search
|
||||
function handleSearch(){
|
||||
const q = elSearch.value.trim().toLowerCase();
|
||||
if(!q){
|
||||
if(VIEW==="libraries") renderLibraries();
|
||||
else { PAGE = 1; renderMemories(GROUPED[CURR]); }
|
||||
return;
|
||||
}
|
||||
if(VIEW==="libraries"){
|
||||
// filter categories if name matches, or any of their libs/memories match
|
||||
const availableLibs = Object.keys(GROUPED);
|
||||
const filteredEntries = Object.entries(CATEGORY_MAP).filter(([cat, prefixes])=>{
|
||||
if(cat.toLowerCase().includes(q)) return true;
|
||||
return (prefixes || []).some(name=>{
|
||||
if(!availableLibs.includes(name)) return false;
|
||||
const arr = GROUPED[name] || [];
|
||||
if(name.toLowerCase().includes(q)) return true;
|
||||
return arr.some(m =>
|
||||
(m.when_to_use||"").toLowerCase().includes(q) ||
|
||||
(m.content||"").toLowerCase().includes(q) ||
|
||||
(m.author||"").toLowerCase().includes(q)
|
||||
);
|
||||
});
|
||||
});
|
||||
const tmp = Object.fromEntries(filteredEntries);
|
||||
const backup = {...CATEGORY_MAP};
|
||||
Object.keys(CATEGORY_MAP).forEach(k=> delete CATEGORY_MAP[k]);
|
||||
Object.assign(CATEGORY_MAP, tmp);
|
||||
renderLibraries();
|
||||
Object.keys(CATEGORY_MAP).forEach(k=> delete CATEGORY_MAP[k]);
|
||||
Object.assign(CATEGORY_MAP, backup);
|
||||
}else{
|
||||
const arr = GROUPED[CURR] || [];
|
||||
const filtered = arr.filter(m =>
|
||||
(m.when_to_use||"").toLowerCase().includes(q) ||
|
||||
(m.content||"").toLowerCase().includes(q) ||
|
||||
(m.author||"").toLowerCase().includes(q)
|
||||
);
|
||||
PAGE = 1;
|
||||
renderMemories(filtered);
|
||||
}
|
||||
}
|
||||
|
||||
// —— Events
|
||||
elRetry?.addEventListener("click", loadAll);
|
||||
elBack?.addEventListener("click", ()=> renderLibraries());
|
||||
elSearch?.addEventListener("input", debounce(handleSearch, 250));
|
||||
elClear?.addEventListener("click", ()=>{
|
||||
elSearch.value = ""; handleSearch();
|
||||
});
|
||||
|
||||
// —— Init
|
||||
document.addEventListener("DOMContentLoaded", loadAll);
|
||||
})();
|
||||
|
|
@ -1,53 +0,0 @@
|
|||
format: jb-book
|
||||
root: index
|
||||
|
||||
parts:
|
||||
- caption: Setup Guide
|
||||
chapters:
|
||||
- file: installation
|
||||
- file: quick_start
|
||||
- file: library/library
|
||||
|
||||
- caption: Personal Memory
|
||||
chapters:
|
||||
- file: personal_memory/personal_memory
|
||||
- file: personal_memory/personal_retrieve_ops
|
||||
- file: personal_memory/personal_summary_ops
|
||||
|
||||
- caption: Task Memory
|
||||
chapters:
|
||||
- file: task_memory/task_memory
|
||||
- file: task_memory/task_retrieve_ops
|
||||
- file: task_memory/task_summary_ops
|
||||
|
||||
- caption: Tool Memory
|
||||
chapters:
|
||||
- file: tool_memory/tool_memory
|
||||
- file: tool_memory/tool_retrieve_ops
|
||||
- file: tool_memory/tool_summary_ops
|
||||
- file: tool_memory/tool_bench
|
||||
|
||||
- caption: Working Memory
|
||||
chapters:
|
||||
- file: work_memory/message_offload
|
||||
- file: work_memory/message_offload_ops
|
||||
- file: work_memory/message_reload_ops
|
||||
|
||||
- caption: Extensions
|
||||
maxdepth: 1
|
||||
chapters:
|
||||
- file: mcp_quick_start
|
||||
- file: vector_store_api_guide
|
||||
|
||||
- caption: Experiments
|
||||
chapters:
|
||||
- file: cookbook/experiment_overview
|
||||
- file: cookbook/frozenlake/quickstart
|
||||
- file: cookbook/bfcl/quickstart
|
||||
- file: cookbook/appworld/quickstart
|
||||
- file: cookbook/working/quick_start
|
||||
|
||||
- caption: Others
|
||||
maxdepth: 1
|
||||
chapters:
|
||||
- file: contribution
|
||||
|
|
@ -1,295 +0,0 @@
|
|||
# ReMe CLI Quick Start
|
||||
|
||||
## Memory Management: Why Does AI Need This?
|
||||
|
||||
Anyone who has used LLMs knows the context window is limited. As conversations grow longer:
|
||||
|
||||
- The conversation gets cut off and can't continue
|
||||
- Response quality drops noticeably — it forgets what was said earlier
|
||||
- Start a new conversation? Everything from before is gone, back to square one
|
||||
|
||||
Worse, **even if the context isn't full, a new conversation starts as a blank slate**. The technical decisions you made
|
||||
last time, your personal preferences, work left half-done — all gone.
|
||||
|
||||
ReMe solves this with two capabilities:
|
||||
|
||||
| Capability | Purpose |
|
||||
|------------------------|-------------------------------------------------------------------------------------------------------------------------|
|
||||
| **Context compaction** | When conversations get too long, old content is automatically condensed into summaries to free up space for new content |
|
||||
| **Long-term memory** | Important information is persisted to disk and automatically retrieved in future conversations |
|
||||
|
||||
---
|
||||
|
||||
## File-Based Memory Design
|
||||
|
||||
ReMe's long-term memory doesn't depend on an external database — **Markdown files are the memory itself**. You can open
|
||||
and edit them at any time.
|
||||
|
||||
> Memory design inspired by the [OpenClaw](https://github.com/openclaw/openclaw) memory architecture.
|
||||
|
||||
### File Structure
|
||||
|
||||
```
|
||||
.reme/
|
||||
├── MEMORY.md
|
||||
└── memory/
|
||||
├── 2025-02-12.md
|
||||
├── 2025-02-13.md
|
||||
└── ...
|
||||
```
|
||||
|
||||
### MEMORY.md — Long-Term Memory
|
||||
|
||||
Stores key information that rarely changes — essentially your "profile":
|
||||
|
||||
- **Location**: `{working_dir}/MEMORY.md`
|
||||
- **Example content**: Project uses Python 3.12, prefers pytest, database is PostgreSQL
|
||||
- **Written by**: Agent maintains it automatically via `write` / `edit` tools
|
||||
|
||||
### memory/YYYY-MM-DD.md — Daily Logs
|
||||
|
||||
One file per day, append-only, recording what happened:
|
||||
|
||||
- **Location**: `{working_dir}/memory/YYYY-MM-DD.md`
|
||||
- **Example content**: Fixed login bug, deployed v2.1, discussed caching strategy
|
||||
- **Written by**: Agent tool writes + triggered automatically during compaction
|
||||
|
||||
---
|
||||
|
||||
## ReMeCli Demo
|
||||
|
||||
<video src="https://github.com/user-attachments/assets/d731ae5c-80eb-498b-a22c-8ab2b9169f87" width="80%" controls></video>
|
||||
|
||||
---
|
||||
|
||||
## Installation
|
||||
|
||||
### PyPI (Recommended)
|
||||
|
||||
```bash
|
||||
pip install reme-ai==0.3.0.0b1
|
||||
```
|
||||
|
||||
### From Source
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install -e .
|
||||
```
|
||||
|
||||
> Python >= 3.10
|
||||
|
||||
---
|
||||
|
||||
## Configuration
|
||||
|
||||
### Environment Variables
|
||||
|
||||
In addition to the yaml config file, API keys are set via environment variables. You can put them in a `.env` file at
|
||||
the project root:
|
||||
|
||||
| Variable | Description | Example |
|
||||
|---------------------------|--------------------|-----------------------------------------------------|
|
||||
| `REME_LLM_API_KEY` | LLM API Key | `sk-xxx` |
|
||||
| `REME_LLM_BASE_URL` | LLM Base URL | `https://dashscope.aliyuncs.com/compatible-mode/v1` |
|
||||
| `REME_EMBEDDING_API_KEY` | Embedding API Key | `sk-xxx` |
|
||||
| `REME_EMBEDDING_BASE_URL` | Embedding Base URL | `https://dashscope.aliyuncs.com/compatible-mode/v1` |
|
||||
|
||||
> If you don't have an embedding service, search quality will be reduced. Make sure to also set `vector_enabled=false`.
|
||||
|
||||
### Web Search (Optional)
|
||||
|
||||
| Variable | Description |
|
||||
|---------------------|-------------------------------------|
|
||||
| `TAVILY_API_KEY` | Tavily Search API Key |
|
||||
| `DASHSCOPE_API_KEY` | DashScope LLM (with search) API Key |
|
||||
|
||||
> Pick one. If Tavily is available, it takes priority.
|
||||
|
||||
---
|
||||
|
||||
### Config File: cli.yaml
|
||||
|
||||
`remecli` loads [cli.yaml](https://github.com/agentscope-ai/ReMe/blob/main/reme/config/cli.yaml) on startup (
|
||||
`config_path="cli"`). All core parameters are managed in this single file.
|
||||
|
||||
#### Parameter Reference
|
||||
|
||||
**Basic Configuration**
|
||||
|
||||
| Parameter | Value | Description |
|
||||
|---------------|---------|---------------------------------------------------|
|
||||
| `backend` | `cmd` | Runtime mode. CLI uses `cmd` |
|
||||
| `working_dir` | `.reme` | Workspace directory where memory files are stored |
|
||||
|
||||
**metadata — Context Window and Retrieval Parameters**
|
||||
|
||||
Controls how context space is allocated and how memory is searched:
|
||||
|
||||
| Parameter | Default | Description |
|
||||
|-------------------------|----------|---------------------------------------------------------------------|
|
||||
| `context_window_tokens` | `100000` | Total context window size (tokens) |
|
||||
| `reserve_tokens` | `30000` | Space reserved for output and system overhead |
|
||||
| `keep_recent_tokens` | `10000` | How many recent conversation tokens to keep after compaction |
|
||||
| `vector_weight` | `0.7` | Vector search weight (BM25 = 1 - 0.7 = 0.3) |
|
||||
| `candidate_multiplier` | `2` | Retrieval candidate pool multiplier. Higher = better recall, slower |
|
||||
|
||||
> Auto-compaction triggers when total message tokens >= `context_window_tokens - reserve_tokens`, i.e. 70,000 tokens by
|
||||
> default.
|
||||
|
||||
**llms — LLM Models**
|
||||
|
||||
| Parameter | Description |
|
||||
|--------------------|-----------------------------------------------|
|
||||
| `backend` | Backend type, uses OpenAI-compatible API |
|
||||
| `model_name` | Model name, defaults to Qwen |
|
||||
| `request_interval` | Request interval (seconds), for rate limiting |
|
||||
|
||||
**embedding_models — Embedding Models**
|
||||
|
||||
| Parameter | Description |
|
||||
|--------------|---------------------------------------------|
|
||||
| `backend` | Embedding backend type |
|
||||
| `model_name` | Model name, defaults to `text-embedding-v4` |
|
||||
| `dimensions` | Vector dimensions, `1024` |
|
||||
|
||||
**memory_stores — Memory Storage**
|
||||
|
||||
| Parameter | Description |
|
||||
|-------------------|--------------------------------------------------|
|
||||
| `backend` | Storage backend, defaults to `chroma` (ChromaDB) |
|
||||
| `db_name` | Database file name |
|
||||
| `store_name` | Collection name |
|
||||
| `embedding_model` | Which embedding model to use |
|
||||
| `fts_enabled` | Whether to enable BM25 full-text search |
|
||||
| `vector_enabled` | Whether to enable vector semantic search |
|
||||
|
||||
> Recommended to enable both `fts_enabled` and `vector_enabled` for the best hybrid retrieval results.
|
||||
|
||||
**file_watchers — File Monitoring**
|
||||
|
||||
| Parameter | Description |
|
||||
|------------------|----------------------------------------|
|
||||
| `backend` | Monitoring mode, `full` = full scan |
|
||||
| `memory_store` | Corresponding memory store config |
|
||||
| `watch_paths` | Directories/files to monitor |
|
||||
| `suffix_filters` | Which file suffixes to watch (`.md`) |
|
||||
| `recursive` | Whether to recurse into subdirectories |
|
||||
|
||||
**token_counters — Token Counter**
|
||||
|
||||
| Parameter | Description |
|
||||
|-----------|---------------------------------------|
|
||||
| `backend` | Counting method, `base` uses tiktoken |
|
||||
|
||||
## Launch
|
||||
|
||||
```bash
|
||||
remecli config=cli
|
||||
```
|
||||
|
||||
After launch, [cli.yaml](https://github.com/agentscope-ai/ReMe/blob/main/reme/config/cli.yaml) is loaded automatically
|
||||
and you can start chatting with Remy. ReMe handles compaction and memory in the background.
|
||||
|
||||
---
|
||||
|
||||
## System Commands
|
||||
|
||||
Type `/`-prefixed commands during a conversation to control state:
|
||||
|
||||
| Command | Description | Blocks |
|
||||
|------------|---------------------------------------------------------------------------------------------|--------|
|
||||
| `/compact` | Manually compact the current conversation; also saves to long-term memory in the background | Yes |
|
||||
| `/new` | Start a new conversation; history is saved to long-term memory in the background | No |
|
||||
| `/clear` | Clear everything, **without saving** | No |
|
||||
| `/history` | View uncompacted messages in the current conversation | No |
|
||||
| `/help` | Show command list | No |
|
||||
| `/exit` | Exit | No |
|
||||
|
||||
### Comparing the Three Commands
|
||||
|
||||
| Command | Compaction Summary | Long-Term Memory | Message History |
|
||||
|------------|-----------------------|------------------|-----------------------|
|
||||
| `/compact` | Generates new summary | Saved | Keeps recent messages |
|
||||
| `/new` | Cleared | Saved | Cleared |
|
||||
| `/clear` | Cleared | Not saved | Cleared |
|
||||
|
||||
> `/clear` is a hard delete — once cleared, it's gone and not saved anywhere.
|
||||
|
||||
---
|
||||
|
||||
## ReMeCli Capabilities
|
||||
|
||||
### When Does Memory Get Written?
|
||||
|
||||
| Scenario | Written To | Trigger |
|
||||
|---------------------------------------------------|--------------------------|-------------------------------------|
|
||||
| Auto-compaction when context is too long | `memory/YYYY-MM-DD.md` | Automatic in background |
|
||||
| User runs `/compact` | `memory/YYYY-MM-DD.md` | Manual compaction + background save |
|
||||
| User runs `/new` | `memory/YYYY-MM-DD.md` | New conversation + background save |
|
||||
| User says "remember this" | `MEMORY.md` or daily log | Agent writes via `write` tool |
|
||||
| Agent identifies an important decision/preference | `MEMORY.md` | Agent writes proactively |
|
||||
|
||||
### Memory Retrieval
|
||||
|
||||
Two ways to find previously stored information:
|
||||
|
||||
| Method | Tool | When to Use | Example |
|
||||
|-----------------|-----------------|--------------------------------------------|----------------------------------------|
|
||||
| Semantic search | `memory_search` | Don't know where it's stored, fuzzy lookup | "previous discussion about deployment" |
|
||||
| Direct read | `read` | Know the date or file | Read `memory/2025-02-13.md` |
|
||||
|
||||
Search uses **vector + BM25 hybrid retrieval** (vector weight 0.7, BM25 weight 0.3), so both natural language queries
|
||||
and exact keywords work.
|
||||
|
||||
### Built-in Tools
|
||||
|
||||
| Tool | Function | Details |
|
||||
|-----------------|----------------|--------------------------------------------------------------|
|
||||
| `memory_search` | Search memory | Hybrid vector + BM25 search across MEMORY.md and memory/*.md |
|
||||
| `bash` | Run commands | Execute bash commands with timeout and output truncation |
|
||||
| `ls` | List directory | Show directory structure |
|
||||
| `read` | Read files | Supports text and images, with partial reads |
|
||||
| `edit` | Edit files | Exact text match and replace |
|
||||
| `write` | Write files | Create or overwrite, auto-creates directories |
|
||||
| `execute_code` | Run Python | Execute code snippets |
|
||||
| `web_search` | Web search | Search via Tavily or DashScope |
|
||||
|
||||
---
|
||||
|
||||
## How Context Compaction Works
|
||||
|
||||
In short, long conversations are condensed into summaries while recent messages stay intact. Two trigger modes:
|
||||
|
||||
### Auto-Compaction
|
||||
|
||||
Before each conversation turn, ReMe checks current token usage. If it exceeds the threshold (
|
||||
`context_window_tokens - reserve_tokens`), old messages are automatically compacted:
|
||||
|
||||
```
|
||||
Before compaction: After compaction:
|
||||
+--------------------------+ +--------------------------+
|
||||
| Message 1: Hello | | Summary: Previously |
|
||||
| Message 2: Write code | ──────> | helped user write code |
|
||||
| Message 3: Tool output | | and make adjustments |
|
||||
| (very long) | +--------------------------+
|
||||
| Message 4: Make changes | | Message 5: New request |
|
||||
| Message 5: New request | +--------------------------+
|
||||
+--------------------------+
|
||||
```
|
||||
|
||||
### Manual Compaction
|
||||
|
||||
Type `/compact` at any time to force-compact all current messages, regardless of the threshold.
|
||||
|
||||
### What Gets Preserved in the Summary?
|
||||
|
||||
| Content | Description | Example |
|
||||
|-----------------------------|------------------------------------|----------------------------------------------------------|
|
||||
| Goal | What the user wants to do | "Build a login system" |
|
||||
| Constraints and preferences | Requirements the user specified | "Use TypeScript, no frameworks" |
|
||||
| Progress | What's been done so far | "Login endpoint is done, registration still in progress" |
|
||||
| Key decisions | What was decided and why | "Chose JWT over sessions for statelessness" |
|
||||
| Next steps | What to do next | "Implement password reset" |
|
||||
| Key context | File names, function names, errors | "Main file is src/auth.ts" |
|
||||
|
|
@ -1,299 +0,0 @@
|
|||
# ReMe CLI 快速开始
|
||||
|
||||
## 记忆管理：AI 为什么需要这个？
|
||||
|
||||
用过大模型的人都知道，上下文窗口是有限的。聊着聊着就超长了，然后：
|
||||
|
||||
- 对话直接断掉，没法继续
|
||||
- 回答质量明显变差，前面说的东西它不记得了
|
||||
- 开个新对话？之前聊的全忘了，从头来过
|
||||
|
||||
更烦的是，**就算上下文没满，新对话也是一张白纸**。上次定好的技术方案、你的个人偏好、干到一半的活——全没了。
|
||||
|
||||
ReMe 干了两件事来解决这个问题：
|
||||
|
||||
| 能力 | 干嘛用的 |
|
||||
|-----------|---------------------------|
|
||||
| **上下文压缩** | 对话太长时，把旧内容自动浓缩成摘要，给新内容腾地方 |
|
||||
| **长期记忆** | 重要信息落盘保存，下次对话自动搜出来用 |
|
||||
|
||||
---
|
||||
|
||||
## 基于文件的记忆设计
|
||||
|
||||
ReMe 的长期记忆不依赖外部数据库——**Markdown 文件就是记忆本身**。你随时可以打开看、直接改。
|
||||
|
||||
> 记忆设计受 [OpenClaw](https://github.com/openclaw/openclaw) 记忆架构启发。
|
||||
|
||||
### 文件结构
|
||||
|
||||
```
|
||||
.reme/
|
||||
├── MEMORY.md
|
||||
└── memory/
|
||||
├── 2025-02-12.md
|
||||
├── 2025-02-13.md
|
||||
└── ...
|
||||
```
|
||||
|
||||
### MEMORY.md — 长期记忆
|
||||
|
||||
放那些不太会变的关键信息，相当于你的"个人档案"：
|
||||
|
||||
- **位置**：`{working_dir}/MEMORY.md`
|
||||
- **内容举例**：项目用 Python 3.12、偏好 pytest、数据库选了 PostgreSQL
|
||||
- **谁来写**：Agent 通过 `write` / `edit` 工具自动维护
|
||||
|
||||
### memory/YYYY-MM-DD.md — 每日日志
|
||||
|
||||
一天一个文件，追加写入，记今天干了啥：
|
||||
|
||||
- **位置**：`{working_dir}/memory/YYYY-MM-DD.md`
|
||||
- **内容举例**：修了登录 Bug、部署了 v2.1、讨论了缓存方案
|
||||
- **谁来写**：Agent 工具写入 + 压缩时自动触发
|
||||
|
||||
---
|
||||
|
||||
## ReMeCli Demo
|
||||
|
||||
<video src="https://github.com/user-attachments/assets/befa7e40-63ba-4db2-8251-516024616e00" width="80%" controls></video>
|
||||
|
||||
---
|
||||
|
||||
## 安装
|
||||
|
||||
### PyPI（推荐）
|
||||
|
||||
```bash
|
||||
pip install reme-ai==0.3.0.0b1
|
||||
```
|
||||
|
||||
### 从源码装
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install -e .
|
||||
```
|
||||
|
||||
> Python >= 3.10
|
||||
|
||||
---
|
||||
|
||||
## 配置
|
||||
|
||||
### 环境变量
|
||||
|
||||
除了 yaml 配置文件，API 密钥通过环境变量设置，可以写在项目根目录的 `.env` 里：
|
||||
|
||||
| 环境变量 | 说明 | 示例 |
|
||||
|---------------------------|----------------------|-----------------------------------------------------|
|
||||
| `REME_LLM_API_KEY` | LLM 的 API Key | `sk-xxx` |
|
||||
| `REME_LLM_BASE_URL` | LLM 的 Base URL | `https://dashscope.aliyuncs.com/compatible-mode/v1` |
|
||||
| `REME_EMBEDDING_API_KEY` | Embedding 的 API Key | `sk-xxx` |
|
||||
| `REME_EMBEDDING_BASE_URL` | Embedding 的 Base URL | `https://dashscope.aliyuncs.com/compatible-mode/v1` |
|
||||
|
||||
> 没有 embedding 服务的话搜索效果会打折扣，记得同时设 `vector_enabled=false`。
|
||||
|
||||
### 联网搜索（可选）
|
||||
|
||||
| 环境变量 | 说明 |
|
||||
|---------------------|--------------------|
|
||||
| `TAVILY_API_KEY` | Tavily 搜索 API Key |
|
||||
| `DASHSCOPE_API_KEY` | 百炼 LLM（带搜索）API Key |
|
||||
|
||||
> 二选一就行，有 Tavily 优先用 Tavily。
|
||||
|
||||
---
|
||||
|
||||
### 配置文件 cli.yaml
|
||||
|
||||
`remecli` 启动时加载 [cli.yaml](https://github.com/agentscope-ai/ReMe/blob/main/reme/config/cli.yaml)（
|
||||
`config_path="cli"`），所有核心参数都在这一个文件里管。
|
||||
|
||||
#### 参数说明
|
||||
|
||||
**基础配置**
|
||||
|
||||
| 参数 | 值 | 说明 |
|
||||
|---------------|---------|------------------|
|
||||
| `backend` | `cmd` | 运行模式，CLI 用 `cmd` |
|
||||
| `working_dir` | `.reme` | 工作空间目录，记忆文件存这里 |
|
||||
|
||||
**metadata — 上下文窗口与检索参数**
|
||||
|
||||
控制上下文空间怎么分配、记忆怎么搜：
|
||||
|
||||
| 参数 | 默认值 | 说明 |
|
||||
|-------------------------|----------|------------------------------|
|
||||
| `context_window_tokens` | `100000` | 上下文窗口总大小（token） |
|
||||
| `reserve_tokens` | `30000` | 给输出和系统开销预留的空间 |
|
||||
| `keep_recent_tokens` | `10000` | 压缩后保留多少最近的对话 |
|
||||
| `vector_weight` | `0.7` | 向量搜索权重（BM25 = 1 - 0.7 = 0.3） |
|
||||
| `candidate_multiplier` | `2` | 检索候选池倍数，越大召回越全、越慢 |
|
||||
|
||||
> 自动压缩的触发点：消息总 token ≥ `context_window_tokens - reserve_tokens`，即默认 70000 token。
|
||||
|
||||
**llms — LLM 模型**
|
||||
|
||||
| 参数 | 说明 |
|
||||
|--------------------|--------------------|
|
||||
| `backend` | 后端类型，走 OpenAI 兼容接口 |
|
||||
| `model_name` | 模型名，默认通义千问 |
|
||||
| `request_interval` | 请求间隔（秒），控速用 |
|
||||
|
||||
**embedding_models — Embedding 模型**
|
||||
|
||||
| 参数 | 说明 |
|
||||
|--------------|----------------------------|
|
||||
| `backend` | Embedding 后端类型 |
|
||||
| `model_name` | 模型名，默认 `text-embedding-v4` |
|
||||
| `dimensions` | 向量维度，`1024` |
|
||||
|
||||
**memory_stores — 记忆存储**
|
||||
|
||||
| 参数 | 说明 |
|
||||
|-------------------|----------------------------|
|
||||
| `backend` | 存储后端，默认 `chroma`（ChromaDB） |
|
||||
| `db_name` | 数据库文件名 |
|
||||
| `store_name` | 集合名 |
|
||||
| `embedding_model` | 用哪个 Embedding 模型 |
|
||||
| `fts_enabled` | 开不开 BM25 全文检索 |
|
||||
| `vector_enabled` | 开不开向量语义搜索 |
|
||||
|
||||
> 建议 `fts_enabled` 和 `vector_enabled` 都开，混合检索效果最好。
|
||||
|
||||
**file_watchers — 文件监控**
|
||||
|
||||
| 参数 | 说明 |
|
||||
|------------------|--------------------|
|
||||
| `backend` | 监控模式，`full` = 全量扫描 |
|
||||
| `memory_store` | 对应的记忆存储配置 |
|
||||
| `watch_paths` | 要监控的目录/文件 |
|
||||
| `suffix_filters` | 只关心哪些后缀（`.md`） |
|
||||
| `recursive` | 是否递归子目录 |
|
||||
|
||||
**token_counters — Token 计数器**
|
||||
|
||||
| 参数 | 说明 |
|
||||
|-----------|------------------------|
|
||||
| `backend` | 计数方式，`base` 用 tiktoken |
|
||||
|
||||
## 启动
|
||||
|
||||
```bash
|
||||
remecli config=cli
|
||||
```
|
||||
|
||||
启动后自动加载 [cli.yaml](https://github.com/agentscope-ai/ReMe/blob/main/reme/config/cli.yaml)，然后就可以直接跟 Remy
|
||||
聊了。ReMe 在后台自动处理压缩和记忆。
|
||||
|
||||
---
|
||||
|
||||
## 系统命令
|
||||
|
||||
对话里输入 `/` 开头的命令控制状态：
|
||||
|
||||
| 命令 | 说明 | 需要等 |
|
||||
|------------|---------------------|-----|
|
||||
| `/compact` | 手动压缩当前对话，同时后台存到长期记忆 | 是 |
|
||||
| `/new` | 开始新对话，历史后台保存到长期记忆 | 否 |
|
||||
| `/clear` | 清空一切，**不保存** | 否 |
|
||||
| `/history` | 看当前对话里未压缩的消息 | 否 |
|
||||
| `/help` | 看命令列表 | 否 |
|
||||
| `/exit` | 退出 | 否 |
|
||||
|
||||
### 三个命令的区别
|
||||
|
||||
| 命令 | 压缩摘要 | 长期记忆 | 消息历史 |
|
||||
|------------|-------|------|-------|
|
||||
| `/compact` | 生成新摘要 | 保存 | 保留最近的 |
|
||||
| `/new` | 清空 | 保存 | 清空 |
|
||||
| `/clear` | 清空 | 不保存 | 清空 |
|
||||
|
||||
> `/clear` 是真删，删了就没了，不会存到任何地方。
|
||||
|
||||
---
|
||||
|
||||
## ReMeCli 的能力
|
||||
|
||||
### 什么时候会写记忆？
|
||||
|
||||
| 场景 | 写到哪 | 怎么触发 |
|
||||
|------------------|------------------------|----------------------|
|
||||
| 上下文超长自动压缩 | `memory/YYYY-MM-DD.md` | 后台自动 |
|
||||
| 用户执行 `/compact` | `memory/YYYY-MM-DD.md` | 手动压缩 + 后台保存 |
|
||||
| 用户执行 `/new` | `memory/YYYY-MM-DD.md` | 新对话 + 后台保存 |
|
||||
| 用户说"记住这个" | `MEMORY.md` 或日志 | Agent 用 `write` 工具写入 |
|
||||
| Agent 发现了重要决策/偏好 | `MEMORY.md` | Agent 主动写 |
|
||||
|
||||
### 记忆检索
|
||||
|
||||
两种方式找回之前的东西：
|
||||
|
||||
| 方式 | 工具 | 什么时候用 | 举例 |
|
||||
|------|-----------------|------------|--------------------------|
|
||||
| 语义搜索 | `memory_search` | 不确定记在哪，模糊找 | "之前关于部署的讨论" |
|
||||
| 直接读 | `read` | 知道是哪天、哪个文件 | 读 `memory/2025-02-13.md` |
|
||||
|
||||
搜索用的是**向量 + BM25 混合检索**（向量权重 0.7，BM25 权重 0.3），自然语言和精确关键词都能搜到。
|
||||
|
||||
### 内置工具
|
||||
|
||||
| 工具 | 干什么 | 细节 |
|
||||
|-----------------|----------|----------------------------------------|
|
||||
| `memory_search` | 搜记忆 | MEMORY.md 和 memory/*.md 里做向量+BM25 混合检索 |
|
||||
| `bash` | 跑命令 | 执行 bash 命令，有超时和输出截断 |
|
||||
| `ls` | 看目录 | 列目录结构 |
|
||||
| `read` | 读文件 | 文本和图片都行，支持分段读 |
|
||||
| `edit` | 改文件 | 精确匹配文本后替换 |
|
||||
| `write` | 写文件 | 创建或覆盖，自动建目录 |
|
||||
| `execute_code` | 跑 Python | 运行代码片段 |
|
||||
| `web_search` | 联网搜索 | 通过 Tavily 或 DashScope 搜 |
|
||||
|
||||
---
|
||||
|
||||
## 上下文压缩怎么工作的
|
||||
|
||||
简单说就是把长对话浓缩成摘要，最近的对话保持原样。两种触发方式：
|
||||
|
||||
### 自动压缩
|
||||
|
||||
每轮对话前 ReMe 会检查当前 token 用量。超过阈值（`context_window_tokens - reserve_tokens`）就自动压缩旧消息：
|
||||
|
||||
```mermaid
|
||||
graph TB
|
||||
subgraph 压缩前
|
||||
A1[消息1: 你好]
|
||||
A2[消息2: 帮我写代码]
|
||||
A3[消息3: 工具调用结果...很长]
|
||||
A4[消息4: 修改一下]
|
||||
A5[消息5: 新需求]
|
||||
end
|
||||
|
||||
subgraph 压缩后
|
||||
B1[压缩摘要: 之前帮用户写了代码并完成调整]
|
||||
B2[消息5: 新需求]
|
||||
end
|
||||
|
||||
A1 --> B1
|
||||
A2 --> B1
|
||||
A3 --> B1
|
||||
A4 --> B1
|
||||
A5 --> B2
|
||||
```
|
||||
|
||||
### 手动压缩
|
||||
|
||||
随时输入 `/compact`，强制压缩所有当前消息，不看阈值。
|
||||
|
||||
### 摘要里会留什么？
|
||||
|
||||
| 内容 | 说的是啥 | 例子 |
|
||||
|-------|------------|-------------------------|
|
||||
| 目标 | 用户想干什么 | "搞一个登录系统" |
|
||||
| 约束和偏好 | 用户提的要求 | "用 TypeScript，不要框架" |
|
||||
| 进展 | 做到哪了 | "登录接口好了，注册还在写" |
|
||||
| 关键决策 | 定了什么、为什么 | "选 JWT 不选 Session，要无状态" |
|
||||
| 下一步 | 接下来干嘛 | "做密码重置" |
|
||||
| 关键上下文 | 文件名、函数名、报错 | "主文件 src/auth.ts" |
|
||||
|
|
@ -1,66 +0,0 @@
|
|||
# Contribute to ReMe
|
||||
Our community thrives on the diverse ideas and contributions of its members. Whether you're fixing a bug, adding a new feature, improving the documentation, or adding examples, your help is welcome. Here's how you can contribute:
|
||||
## Report Bugs and Ask For New Features?
|
||||
Did you find a bug or have a feature request? Please first check the issue tracker to see if it has already been reported. If not, feel free to open a new issue. Include as much detail as possible:
|
||||
- A descriptive title
|
||||
- Clear description of the issue
|
||||
- Steps to reproduce the problem
|
||||
- Version of the ReMe you are using
|
||||
- Any relevant code snippets or error messages
|
||||
## Contribute to Codebase
|
||||
### Fork and Clone the Repository
|
||||
To work on an issue or a new feature, start by forking the ReMe repository and then cloning your fork locally.
|
||||
```bash
|
||||
git clone https://github.com/your-username/ReMe.git
|
||||
cd ReMe
|
||||
```
|
||||
### Create a New Branch
|
||||
Create a new branch for your work. This helps keep proposed changes organized and separate from the `main` branch.
|
||||
```bash
|
||||
git checkout -b your-feature-branch-name
|
||||
```
|
||||
### Making Changes
|
||||
With your new branch checked out, you can now make your changes to the code. Remember to keep your changes as focused as possible. If you're addressing multiple issues or features, it's better to create separate branches and pull requests for each.
|
||||
|
||||
### Set Up Pre-commit Hooks
|
||||
Before committing your changes, you should set up pre-commit hooks to ensure code quality and consistency. Pre-commit hooks will automatically check your code for common issues and format it according to the project's standards.
|
||||
|
||||
**Install pre-commit:**
|
||||
```bash
|
||||
pip install pre-commit
|
||||
```
|
||||
|
||||
**Install the git hooks:**
|
||||
```bash
|
||||
pre-commit install
|
||||
```
|
||||
|
||||
**Run pre-commit manually (optional):**
|
||||
If you want to run pre-commit checks on all files before committing, you can run:
|
||||
```bash
|
||||
pre-commit run --all-files
|
||||
```
|
||||
|
||||
After installation, pre-commit will automatically run on `git commit` to check your code. The hooks will check for:
|
||||
- Code syntax and AST validation
|
||||
- YAML, XML, TOML, and JSON format validation
|
||||
- Trailing whitespace
|
||||
- Code formatting (Black)
|
||||
- Code style (Flake8)
|
||||
- Code quality (Pylint)
|
||||
- Package metadata (Pyroma)
|
||||
|
||||
If any checks fail, please fix the issues before committing.
|
||||
|
||||
### Commit Your Changes
|
||||
Once you've made your changes, it's time to commit them. Write clear and concise commit messages that explain your changes.
|
||||
```bash
|
||||
git add -A
|
||||
git commit -m "A brief description of the changes"
|
||||
```
|
||||
|
||||
### Submit a Pull Request
|
||||
When you're ready for feedback, submit a pull request to the ReMe `main` branch. In your pull request description, explain the changes you've made and any other relevant context.
|
||||
We will review your pull request. This process might involve some discussion, additional changes on your part, or both.
|
||||
### Code Review
|
||||
Wait for us to review your pull request. We may suggest some changes or improvements. Keep an eye on your GitHub notifications and be responsive to any feedback.
|
||||
|
|
@ -1,56 +0,0 @@
|
|||
# Experiement Overview
|
||||
|
||||
### 🌍 [Appworld Experiment](appworld/quickstart.md)
|
||||
|
||||
We tested ReMe on Appworld using qwen3-8b:
|
||||
|
||||
| Method | pass@1 | pass@2 | pass@4 |
|
||||
|--------------|-------------------|-------------------|-------------------|
|
||||
| without ReMe | 0.083 | 0.140 | 0.228 |
|
||||
| with ReMe | 0.109 **(+2.6%)** | 0.175 **(+3.5%)** | 0.281 **(+5.3%)** |
|
||||
|
||||
Pass@K measures the probability that at least one of the K generated samples successfully completes the task (
|
||||
score=1).
|
||||
The current experiment uses an internal AppWorld environment, which may have slight differences.
|
||||
|
||||
You can find more details on reproducing the experiment in [quickstart.md](appworld/quickstart.md).
|
||||
|
||||
### 🧊 [Frozenlake Experiment](frozenlake/quickstart.md)
|
||||
|
||||
| without ReMe | with ReMe |
|
||||
|:--------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------:|
|
||||
| <p align="center"><img src="../_static/figure/frozenlake_failure.gif" alt="GIF 1" width="30%"></p> | <p align="center"><img src="../_static/figure/frozenlake_success.gif" alt="GIF 2" width="30%"></p> |
|
||||
|
||||
We tested on 100 random frozenlake maps using qwen3-8b:
|
||||
|
||||
| Method | pass rate |
|
||||
|--------------|------------------|
|
||||
| without ReMe | 0.66 |
|
||||
| with ReMe | 0.72 **(+6.0%)** |
|
||||
|
||||
You can find more details on reproducing the experiment in [quickstart.md](frozenlake/quickstart.md).
|
||||
|
||||
### 🔧 [BFCL-V3 Experiment](bfcl/quickstart.md)
|
||||
|
||||
We tested ReMe on BFCL-V3 multi-turn-base (randomly split 50train/150val) using qwen3-8b:
|
||||
|
||||
| Method | pass@1 | pass@2 | pass@4 |
|
||||
|--------------|---------------------|---------------------|---------------------|
|
||||
| without ReMe | 0.2472 | 0.2733 | 0.2922 |
|
||||
| with ReMe | 0.3061 **(+5.89%)** | 0.3500 **(+7.67%)** | 0.3888 **(+9.66%)** |
|
||||
|
||||
### 🛠️ [Tool Memory Benchmark](../tool_memory/tool_bench.md)
|
||||
|
||||
We evaluated Tool Memory effectiveness using a controlled benchmark with three mock search tools using Qwen3-30B-Instruct:
|
||||
|
||||
| Scenario | Avg Score | Improvement |
|
||||
|------------------------|-----------|-------------|
|
||||
| Train (No Memory) | 0.650 | - |
|
||||
| Test (No Memory) | 0.672 | Baseline |
|
||||
| **Test (With Memory)** | **0.772** | **+14.88%** |
|
||||
|
||||
**Key Findings:**
|
||||
- Tool Memory enables data-driven tool selection based on historical performance
|
||||
- Success rates improved by ~15% with learned parameter configurations
|
||||
|
||||
You can find more details in [tool_bench.md](../tool_memory/tool_bench.md) and the implementation at [run_reme_tool_bench.py](https://github.com/agentscope-ai/ReMe/tree/main/cookbook/tool_memory/run_reme_tool_bench.py).
|
||||
|
|
@ -1,69 +0,0 @@
|
|||
# Frequently Asked Questions
|
||||
This document provides answers to frequently asked questions about our paper "[Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution](https://arxiv.org/pdf/2512.10696)".
|
||||
|
||||
## Reproduction Questions
|
||||
### 1. experimental configuration
|
||||
|
||||
**Example:** Qwen3-8B + AppWorld
|
||||
**Launch the ReMe service:**
|
||||
```bash
|
||||
reme2 \
|
||||
backend=http \
|
||||
http.port=8002 \
|
||||
llms.default.model_name=qwen3-8b \
|
||||
embedding_models.default.model_name=text-embedding-v4 \
|
||||
vector_stores.default.backend=es \
|
||||
vector_stores.default.hosts=http://xx.yy.zz.mm:nn
|
||||
```
|
||||
**Evaluation Code:** [run_appworld.py](https://github.com/agentscope-ai/ReMe/blob/main/benchmark/appworld/run_appworld.py) with the following parameters
|
||||
|Experimental Settings|No Memory |ReMe (fixed) |ReMe (dynamic)|
|
||||
|---|---|---|---|
|
||||
|max_workers|16|16|16|
|
||||
|batch_size|8|8|8|
|
||||
|num_runs|4|4|1|
|
||||
|num_trials|1|1|3|
|
||||
|model_name|"qwen3-8b"|"qwen3-8b"|"qwen3-8b"|
|
||||
|use_memory| False| True|True|
|
||||
|use_memory_addition|False|False|True|
|
||||
|use_memory_deletion|False|False|True|
|
||||
|memory_base_url|""|"http://0.0.0.0:8002/"|"http://0.0.0.0:8002/"|
|
||||
|load_file_path|""|[appworld_qwen3_8b.jsonl](https://github.com/agentscope-ai/ReMe/tree/main/docs/library/paper_data/task/appworld_qwen3_8b.jsonl)|[appworld_qwen3_8b.jsonl](https://github.com/agentscope-ai/ReMe/tree/main/docs/library/paper_data/task/appworld_qwen3_8b.jsonl)|
|
||||
|
||||
For parameter meanings, you can refer to [docs/cookbook/appworld](https://github.com/zouyingcao/ReMe/blob/main/docs/cookbook/appworld/quickstart.md) .
|
||||
|
||||
> [!NOTE]
|
||||
> - Qwen3 thinking mode is activated for BFCL-V3 tasks and disabled for AppWorld tasks.
|
||||
> - In ReMe(fixed) setting, there is no need to restart the ReMe service at each run since the experience pool is fixed. However, in ReMe(dynamic) setting, we need run separately to ensure consistent initial state. That is to say, to calculate Pass@4, you need 4 independent runs with restarting ReMe service and setting `num_runs=1` in each run.
|
||||
|
||||
### 2. about experience pool initialization
|
||||
Taking Appworld as an example, you can refer to issues [#55](https://github.com/agentscope-ai/ReMe/issues/55), [#58](https://github.com/agentscope-ai/ReMe/issues/58). To reproduce the results in our paper, you can use our constructed memory data in [docs/library/paper_data](https://github.com/agentscope-ai/ReMe/tree/main/docs/library/paper_data/task).
|
||||
|
||||
### 3. evaluation metrics
|
||||
- In our AppWorld experiments, we report Task Goal Completion (TGC) metric (claimed in Appendix A of our [paper](https://arxiv.org/pdf/2512.10696)), which measures percentage of tasks for which the agent passes all evaluation tests. [`after_score`](https://github.com/agentscope-ai/ReMe/blob/main/benchmark/appworld/appworld_react_agent.py#L218) is the percentage of tests passed for per task. To calculate TGC, only `after_score=1` means task completion. Therefore, we use threshold=1 in [run_exp_statistic.py](https://github.com/agentscope-ai/ReMe/blob/main/benchmark/appworld/run_exp_statistic.py#L43) to get Pass@k.
|
||||
- In our paper, `Avg@4` is the `Pass@1` performance averaged over 4 independent runs. For simplicity, we organize the total collected 4 trajectories in a single file to calculate Pass@1 and Pass@4 together. Then, the results of Pass@1 and Avg@4 are equivalent.
|
||||
|
||||
|
||||
### 4. reproduce baselines
|
||||
- For Qwen3-series No-Memory performance on AppWorld, you can refer to issue [#49](https://github.com/agentscope-ai/ReMe/issues/49).
|
||||
- About A-mem and LangMem code, please see [#67](https://github.com/agentscope-ai/ReMe/issues/67).
|
||||
|
||||
## Environment Setup
|
||||
### 1. BFCL-V3 code version
|
||||
We use the BFCL GitHub repository with commit_id=[ea13468](https://github.com/ShishirPatil/gorilla/commit/ea13468e4423454d0c213704fb87cf7cb3990433) in our experiments.
|
||||
|
||||
### 2. preprocess BFCL-V3 multi_turn_base data
|
||||
Before running the experiments, you need to preprocess the BFCL-V3 data using this [script](https://github.com/agentscope-ai/ReMe/blob/main/benchmark/bfcl/preprocess.py) to get the suitable data format. Then, we randomly split the multi-turn-base data into train (50) and test (150) sets using [split_into_trainval.py](https://github.com/agentscope-ai/ReMe/blob/main/benchmark/bfcl/split_into_trainval.py) (our used split is [here](https://github.com/agentscope-ai/ReMe/issues/45#issuecomment-3890215360)). The training set is used to construct the initial experience pool and the remaining 150 testing tasks serve as the evaluation set.
|
||||
|
||||
### 3. pydantic version issue when running Appworld
|
||||
AppWorld depends on an older version of pydantic, which is why a separate environment is needed. If you encounter issues running the experiments, try `pip install appworld` to override the dependencies.
|
||||
|
||||
### 4. AppWorld data not found
|
||||
Ensure `appworld download data` completed successfully.
|
||||
|
||||
## Technical Questions
|
||||
### 1. about memory growth
|
||||
See [#44](https://github.com/agentscope-ai/ReMe/issues/44).
|
||||
### 2. code for Experience Refinement
|
||||
See [#52](https://github.com/agentscope-ai/ReMe/issues/52).
|
||||
### 3. context length issue with AppWorld
|
||||
See [#81](https://github.com/agentscope-ai/ReMe/issues/81).
|
||||
|
|
@ -1,168 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# FrozenLake
|
||||
Experiment Quick Start Guide
|
||||
|
||||
This guide helps you quickly set up and run FrozenLake experiments with ReMe integration. The FrozenLake experiment demonstrates how task memory can improve an agent's performance in a navigation task.
|
||||
|
||||
## Environment Setup
|
||||
|
||||
### 1. Clone the Repository
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe/cookbook/frozenlake
|
||||
```
|
||||
|
||||
### 2. FrozenLake Environment Setup
|
||||
|
||||
Install Gymnasium for FrozenLake environment:
|
||||
|
||||
```bash
|
||||
pip install gymnasium
|
||||
```
|
||||
|
||||
This will install:
|
||||
- gymnasium - for the FrozenLake environment
|
||||
- ray - for parallel execution
|
||||
- openai - for LLM API access
|
||||
- other dependencies
|
||||
|
||||
### 3. Start ReMe Service
|
||||
|
||||
If you haven't installed ReMe yet, follow these steps:
|
||||
```bash
|
||||
# Go back to the project root
|
||||
cd ../..
|
||||
|
||||
# Create a virtual environment (optional)
|
||||
conda create -p ./reme-env python==3.10
|
||||
conda activate ./reme-env
|
||||
|
||||
# Install ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
Launch the ReMe service to enable memory library functionality:
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=http \
|
||||
http.port=8002 \
|
||||
llm.default.model_name=qwen-max-2025-01-25 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
Add your api key for agent:
|
||||
```bash
|
||||
export OPENAI_API_KEY="xxx"
|
||||
export OPENAI_BASE_URL="xxx"
|
||||
```
|
||||
|
||||
|
||||
## Run Experiments
|
||||
|
||||
### 1. Quick Test: Performance Evaluation Only (Default)
|
||||
|
||||
Run the main experiment script to test agent performance using existing memory:
|
||||
|
||||
```bash
|
||||
cd cookbook/frozenlake
|
||||
python run_frozenlake.py
|
||||
```
|
||||
|
||||
**What this does:**
|
||||
- Tests the agent on randomly generated FrozenLake maps
|
||||
- Uses the default memory library (`frozenlake_no_slippery`)
|
||||
- Evaluates performance with multiple runs for statistical significance
|
||||
- Results are automatically saved to `./exp_result/` directory
|
||||
|
||||
### 2. Advanced: Training + Testing (Memory Generation)
|
||||
|
||||
To create new memories through training and then test performance:
|
||||
|
||||
You can modify the experiment parameters directly in the `run_frozenlake.py` file. The main parameters are in the `main()` function:
|
||||
|
||||
```{code-cell}
|
||||
def main():
|
||||
experiment_name = "frozenlake_no_slippery" # Name of the experiment
|
||||
max_workers = 4 # Number of parallel workers
|
||||
training_runs = 4 # Runs per training map
|
||||
num_training_maps = 50 # Number of maps for training
|
||||
test_runs = 1 # Runs per test configuration
|
||||
num_test_maps = 100 # Number of test maps
|
||||
is_slippery = False # Enable slippery mode
|
||||
```
|
||||
|
||||
Key parameters to consider:
|
||||
- `experiment_name`: Used as the workspace ID for task memory
|
||||
- `is_slippery`: When True, agent movement becomes stochastic (harder)
|
||||
- `max_workers`: Increase for faster execution on multi-core systems
|
||||
|
||||
### 3. View Experiment Results
|
||||
|
||||
After running experiments, analyze the statistical results:
|
||||
|
||||
```bash
|
||||
python run_exp_statistic.py
|
||||
```
|
||||
|
||||
**What this script does:**
|
||||
- Processes all result files in `./exp_result/`
|
||||
- Calculates success rates and performance metrics
|
||||
- Generates a summary table showing performance comparisons
|
||||
- Analyzes the effect of task memory on performance
|
||||
- Saves results to `frozenlake_summary.csv`
|
||||
|
||||
## Understanding the Implementation
|
||||
|
||||
### Key Components
|
||||
|
||||
1. **FrozenLakeReactAgent** (`frozenlake_react_agent.py`)
|
||||
- Implements a ReAct agent that interacts with the FrozenLake environment
|
||||
- Handles task memory retrieval and storage
|
||||
- Uses LLM (via OpenAI API) for decision making
|
||||
|
||||
2. **Experiment Runner** (`run_frozenlake.py`)
|
||||
- Manages the overall experiment flow
|
||||
- Handles training and testing phases
|
||||
- Uses Ray for parallel execution
|
||||
|
||||
3. **Map Manager** (`map_manager.py`)
|
||||
- Generates and manages test maps
|
||||
- Ensures consistent evaluation across experiments
|
||||
|
||||
4. **Statistics Analyzer** (`run_exp_statistic.py`)
|
||||
- Processes experiment results
|
||||
- Calculates performance metrics
|
||||
- Generates comparative analysis
|
||||
|
||||
### Output Files
|
||||
|
||||
- `./exp_result/*_training.jsonl`: Results from training phase
|
||||
- `./exp_result/*_test_no_memory.jsonl`: Test results without task memory
|
||||
- `./exp_result/*_test_with_memory.jsonl`: Test results with task memory
|
||||
- `./exp_result/frozenlake_summary.csv`: Statistical summary
|
||||
|
||||
### Task Memory Mechanism
|
||||
|
||||
The task memory system works as follows:
|
||||
|
||||
1. **Memory Creation**: During training, successful trajectories are sent to the ReMe service
|
||||
2. **Memory Retrieval**: During testing, the agent queries relevant memories based on the current map
|
||||
3. **Memory Application**: The agent uses retrieved memories to guide its decision-making
|
||||
|
||||
The experiment demonstrates how task memory can significantly improve performance, especially in challenging environments like the slippery FrozenLake.
|
||||
|
|
@ -1,235 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Working Memory Demo
|
||||
|
||||
This demo showcases how to use ReMe's working memory capabilities with a ReAct agent. The working memory system automatically manages context by compressing and summarizing conversation history, enabling efficient long-context processing.
|
||||
|
||||
## Installation
|
||||
|
||||
### Install from PyPI (Recommended)
|
||||
|
||||
```bash
|
||||
pip install reme-ai
|
||||
```
|
||||
|
||||
### Install from Source
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### Environment Configuration
|
||||
|
||||
Copy `example.env` to `.env` and modify the corresponding parameters:
|
||||
|
||||
```bash
|
||||
FLOW_LLM_API_KEY=sk-xxxx
|
||||
FLOW_LLM_BASE_URL=https://xxxx/v1
|
||||
FLOW_EMBEDDING_API_KEY=sk-xxxx
|
||||
FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
|
||||
```
|
||||
|
||||
## Starting the Services
|
||||
|
||||
Before running the demo, you need to start both the HTTP and MCP services:
|
||||
|
||||
### Start MCP Service
|
||||
|
||||
```bash
|
||||
reme backend=mcp mcp.port=8002
|
||||
```
|
||||
|
||||
The MCP service provides tools for working memory management including:
|
||||
- `grep_working_memory`: Search for content in working memory
|
||||
- `read_working_memory`: Read specific sections of working memory
|
||||
|
||||
### Start HTTP Service
|
||||
|
||||
```bash
|
||||
reme backend=http http.port=8003
|
||||
```
|
||||
|
||||
The HTTP service provides the flow execution endpoint for memory operations.
|
||||
|
||||
## Running the Demo
|
||||
|
||||
Once both services are running, execute the demo:
|
||||
|
||||
|
||||
```bash
|
||||
cd cookbook/working_memory
|
||||
python work_memory_demo.py
|
||||
```
|
||||
|
||||
### What the Demo Does
|
||||
|
||||
The demo simulates a scenario where:
|
||||
1. A large README content is loaded (repeated 4 times to create a long context)
|
||||
2. The agent needs to search through this content and extract specific information
|
||||
3. Working memory automatically compresses the context from ~24,586 tokens to ~1,565 tokens (compression ratio: 0.06)
|
||||
4. The agent can still accurately answer questions about the content
|
||||
|
||||
## Core Code Explanation
|
||||
|
||||
### ReactAgent with Working Memory (`react_agent_with_working_memory.py`)
|
||||
|
||||
#### 1. Agent Initialization
|
||||
|
||||
```python
|
||||
class ReactAgent:
|
||||
def __init__(self, model_name="", max_steps: int = 50):
|
||||
# Use your own LLM class
|
||||
self.llm = OpenAICompatibleLLM(model_name=model_name)
|
||||
self.max_steps = max_steps
|
||||
```
|
||||
|
||||
The agent is initialized with an LLM model and a maximum number of reasoning steps.
|
||||
|
||||
#### 2. Service Connection
|
||||
|
||||
```python
|
||||
async with FastMcpClient("reme_mcp_server", {
|
||||
"type": "sse",
|
||||
"url": "http://0.0.0.0:8002/sse",
|
||||
}) as mcp_client, HttpClient(base_url="http://localhost:8003") as http_client:
|
||||
```
|
||||
|
||||
The agent connects to both:
|
||||
- **MCP Client**: For tool execution (grep, read operations)
|
||||
- **HTTP Client**: For flow execution (memory summarization)
|
||||
|
||||
#### 3. Tool Registration
|
||||
|
||||
```python
|
||||
tool_calls = await mcp_client.list_tool_calls()
|
||||
|
||||
for tool_call in tool_calls:
|
||||
if tool_call.name in ["grep_working_memory", "read_working_memory"]:
|
||||
tool_dict[tool_call.name] = tool_call
|
||||
```
|
||||
|
||||
The agent registers working memory tools that will be available to the LLM.
|
||||
|
||||
> Note: `summary_working_memory` is **not** an MCP tool.
|
||||
> It is a **flow** exposed by the HTTP service and is invoked via `HttpClient.execute_flow`,
|
||||
> as shown in the next section.
|
||||
|
||||
#### 4. Working Memory Summarization (Key Feature)
|
||||
|
||||
```python
|
||||
result = await http_client.execute_flow("summary_working_memory",
|
||||
messages=[x.simple_dump() for x in messages],
|
||||
working_summary_mode="auto",
|
||||
compact_ratio_threshold=0.75,
|
||||
max_total_tokens=20000,
|
||||
max_tool_message_tokens=2000,
|
||||
group_token_threshold=None,
|
||||
keep_recent_count=1,
|
||||
store_dir="./test_working_memory")
|
||||
|
||||
messages = [Message(**x) for x in result.answer]
|
||||
```
|
||||
|
||||
**This is the core of working memory management.** Before each LLM call:
|
||||
|
||||
- **`working_summary_mode="auto"`**: Automatically decides when to compress
|
||||
- **`compact_ratio_threshold=0.75`**: Triggers compression when context exceeds 75% of max tokens
|
||||
- **`max_total_tokens=20000`**: Maximum total tokens allowed
|
||||
- **`max_tool_message_tokens=2000`**: Maximum tokens per tool message
|
||||
- **`keep_recent_count=1`**: Keeps the most recent message uncompressed
|
||||
- **`store_dir`**: Directory to store compressed memory
|
||||
|
||||
The summarization process:
|
||||
1. Analyzes the current message history
|
||||
2. Identifies compressible content (especially long tool outputs)
|
||||
3. Compresses/summarizes old messages while preserving semantic information
|
||||
4. Returns a condensed message list that maintains context
|
||||
|
||||
#### 5. ReAct Loop
|
||||
|
||||
```python
|
||||
for i in range(self.max_steps):
|
||||
# Summarize working memory before each LLM call
|
||||
result = await http_client.execute_flow("summary_working_memory", ...)
|
||||
messages = [Message(**x) for x in result.answer]
|
||||
|
||||
# LLM generates next action
|
||||
assistant_message = await self.llm.achat(messages=messages, tools=[...])
|
||||
messages.append(assistant_message)
|
||||
|
||||
if not assistant_message.tool_calls:
|
||||
break
|
||||
|
||||
# Execute tools
|
||||
for tool_call in assistant_message.tool_calls:
|
||||
result = await mcp_client.call_tool(tool_call.name,
|
||||
arguments=tool_call.argument_dict)
|
||||
messages.append(Message(role=Role.TOOL, content=result, ...))
|
||||
```
|
||||
|
||||
The ReAct loop:
|
||||
1. **Compress**: Summarize working memory to reduce context size
|
||||
2. **Reason**: LLM decides what tool to use
|
||||
3. **Act**: Execute the tool
|
||||
4. **Observe**: Add tool result to messages
|
||||
5. Repeat until task is complete or max steps reached
|
||||
|
||||
### Benefits of Working Memory
|
||||
|
||||
1. **Context Efficiency**: Reduces token usage by ~94% (24,586 → 1,565 tokens in the demo)
|
||||
2. **Cost Reduction**: Lower token counts mean lower API costs
|
||||
3. **Performance**: Faster inference with smaller contexts
|
||||
4. **Scalability**: Handle much longer conversations and tool outputs
|
||||
5. **Accuracy**: Maintains semantic information despite compression
|
||||
|
||||
## Model Configuration
|
||||
|
||||
The demo uses an OpenAI-compatible LLM configured via environment variables:
|
||||
|
||||
- **`FLOW_LLM_API_KEY` / `FLOW_LLM_BASE_URL`**: LLM API credentials and endpoint
|
||||
- The model name is specified in `work_memory_demo.py`, for example:
|
||||
|
||||
```python
|
||||
model_name = "qwen3-coder-30b-a3b-instruct"
|
||||
agent = ReactAgent(model_name=model_name, max_steps=50)
|
||||
```
|
||||
|
||||
You can change `model_name` to any model that your backend supports, as long as it follows the OpenAI-compatible API.
|
||||
|
||||
## Expected Output
|
||||
|
||||
When running the demo, you should see:
|
||||
- Token count before compression: ~24,586 tokens
|
||||
- Token count after compression: ~1,565 tokens
|
||||
- Compression ratio: ~0.06 (6% of original size)
|
||||
- The agent successfully answers the question about task memory performance in AppWorld
|
||||
|
||||
## Customization
|
||||
|
||||
You can customize the working memory behavior by adjusting parameters in the `summary_working_memory` call:
|
||||
|
||||
- **`compact_ratio_threshold`**: Lower values trigger compression earlier
|
||||
- **`max_total_tokens`**: Adjust based on your model's context window
|
||||
- **`max_tool_message_tokens`**: Control individual tool output size
|
||||
- **`keep_recent_count`**: Keep more recent messages uncompressed for better context
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
1. **Services not starting**: Ensure ports 8002 and 8003 are available
|
||||
2. **Connection errors**: Verify both MCP and HTTP services are running
|
||||
3. **API errors**: Check your `.env` file has valid API keys and endpoints
|
||||
4. **Memory errors**: Adjust `max_total_tokens` based on your available memory
|
||||
|
|
@ -1,278 +0,0 @@
|
|||
# CoPaw Context Management Design
|
||||
|
||||
> This article focuses on **short-term context management** and does not cover the long-term memory module.
|
||||
|
||||
---
|
||||
|
||||
Sooner or later, every AI Agent hits the same wall: **the context window fills up**.
|
||||
|
||||
Tool calls return walls of HTML, thousands of lines of logs, or entire file contents — all of which rapidly consume precious token budget. As the conversation grows, early information either gets truncated or blows up the window entirely, and the Agent's performance begins to degrade.
|
||||
|
||||
[CoPaw](https://github.com/agentscope-ai/CoPaw) addresses this problem with a systematic approach to context management. This article provides a complete breakdown of the data structures and runtime mechanics behind **CoPaw Context Management V2**.
|
||||
|
||||
---
|
||||
|
||||
## What does the context look like?
|
||||
|
||||
Before discussing "how to manage it", let's first understand "what is being managed".
|
||||
|
||||
CoPaw's context is split into two layers: the **in-memory layer** and the **file system layer**.
|
||||
|
||||
### In-Memory Layer
|
||||
|
||||
Two core fields are maintained in memory:
|
||||
|
||||
- **`compact_summary`** (optional): After conversation history has been compacted, this field holds a structured summary covering five dimensions — `Goal`, `Constraints`, `Progress`, `KeyDecisions`, and `NextSteps` — essentially a refined "work memo". It also includes a **path guide to the raw historical dialog**, pointing the Agent to `dialog/YYYY-MM-DD.jsonl` and suggesting reading from the end backwards.
|
||||
- **`messages`**: The complete list of messages for the current conversation — the data actually consumed by the Agent during reasoning.
|
||||
|
||||
### File System Layer (File Cache)
|
||||
|
||||
For content that is too large or too volatile to reside in memory long-term, CoPaw offloads it to the file system:
|
||||
|
||||
- **Raw conversation history**: `dialog/YYYY-MM-DD.jsonl`, stored per day
|
||||
- **Tool call results**: `tool_result/{uuid}.txt`, with an N-day TTL and automatic cleanup on expiry
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Context] --> B[compact_summary]
|
||||
B --> C[dialog path guide + Goal/Constraints/Progress/KeyDecisions/NextSteps]
|
||||
A --> E[messages: full dialogue history]
|
||||
A --> F[File System Cache]
|
||||
F --> G[dialog/YYYY-MM-DD.jsonl]
|
||||
F --> H[tool_result/uuid.txt N-day TTL]
|
||||
```
|
||||
|
||||
This design allows the Agent to quickly access recent conversations in memory while being able to look up historical context on demand — without stuffing all history into the context window.
|
||||
|
||||
---
|
||||
|
||||
## What happens before reasoning? The Pre-Reasoning Hook
|
||||
|
||||
Before each reasoning step begins, CoPaw executes a **Pre-Reasoning Hook** that automatically tidies up the context. The process runs in four steps:
|
||||
|
||||
1. **Tool result compaction** (`ToolCallResultCompact`): Process tool call results first — truncate oversized content and offload it to the file system.
|
||||
2. **Context checking** (`ContextChecker`): Compute the current token usage and determine whether it exceeds the threshold.
|
||||
3. **If the threshold is exceeded**:
|
||||
- Keep the most recent **X%** of tokens (to preserve conversational continuity).
|
||||
- Call the `Compactor` on the earlier history to generate a structured summary.
|
||||
4. **Dialog persistence** (`SaveDialog`): Save the compacted raw conversation to the file system.
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Pre-Reasoning Hook] --> B[ToolCallResultCompact]
|
||||
B --> C[ContextChecker]
|
||||
C --> D{Token > threshold?}
|
||||
D -->|Yes| E[Keep recent X% tokens]
|
||||
E --> F[Compact & generate summary]
|
||||
F --> G[SaveDialog: persist to file]
|
||||
D -->|No| H[Normal reasoning]
|
||||
```
|
||||
|
||||
This flow ensures that the context is in a "clean" state at the start of every reasoning step.
|
||||
|
||||
---
|
||||
|
||||
## Tool Result Offload: Unified Two-Phase Truncation
|
||||
|
||||
Tool call results are one of the main causes of context bloat. CoPaw uses a **two-phase truncation** strategy that separates the timing of truncation from its aggressiveness:
|
||||
|
||||
- **First truncation**: Triggered immediately when a tool call result is **written into the context**, uniformly applied to all tools (including `read_file`). The full raw content is saved to `tool_result/{uuid}.txt`, and the message is annotated with the file path and a start-line hint.
|
||||
- **Second truncation**: Triggered by the Pre-Reasoning Hook on **messages that have slid out of the `recent_n` window**, applying a more aggressive truncation to further shrink context usage.
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Tool call completes] --> T[First truncation<br>executed immediately on write]
|
||||
T --> S[Full content written to tool_result/uuid.txt<br>Message annotated with file path + start line]
|
||||
S --> B{Pre-Reasoning Hook<br>Is message within recent_n?}
|
||||
B -->|Yes| C[No action<br>Keep first-truncation result]
|
||||
B -->|No| D[Second truncation<br>More aggressive compression<br>file_path unchanged]
|
||||
```
|
||||
|
||||
The benefit of this design is: the first truncation ensures that no tool result can blow up the context from the moment it is written; the second truncation automatically "fades out" older messages as the conversation progresses, always leaving enough room for recent content.
|
||||
|
||||
### Browser Use Tools as an Example
|
||||
|
||||
| Phase | Behavior |
|
||||
|----------------------------|-----------------------------------------------------------------------------------------------------------------------------|
|
||||
| First truncation | Result is truncated immediately on return; full content written to `tool_result/uuid.txt`; message annotated with "FullText saved to xxxx, please read from line N" |
|
||||
| Within `recent_n` | Pre-Reasoning Hook makes no additional changes; keeps first-truncation result |
|
||||
| Outside `recent_n` (second truncation) | Parses the existing message result, applies more aggressive truncation to the original content, updates meta info (e.g. line-number hint); **`file_path` is unchanged**, still pointing to the original file |
|
||||
|
||||
The key insight of second truncation: **the original full content is always saved under the same file path**. No matter how many rounds of truncation have occurred, the Agent can always retrieve the original content via the file reference. Truncation only affects the message fragment and meta info in the context — never the file itself.
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Browser Use Result] -->|First truncation| B[Context: fragment + file_path + start line]
|
||||
B --> C{Outside recent_n?}
|
||||
C -->|No| D[Unchanged]
|
||||
C -->|Yes| E[Parse existing message<br>Apply second truncation to original content<br>Update meta info]
|
||||
E --> F[Context: shorter fragment + same file_path]
|
||||
```
|
||||
|
||||
### Code Implementation and Examples of Two-Phase Truncation
|
||||
|
||||
The entry point for truncation logic is `truncate_text_output`, which dispatches to two different functions depending on whether the text already contains the `<<<TRUNCATED>>>` marker:
|
||||
|
||||
```python
|
||||
def truncate_text_output(text, start_line=1, total_lines=0,
|
||||
max_bytes=DEFAULT_MAX_BYTES,
|
||||
file_path=None, encoding="utf-8") -> str:
|
||||
if TRUNCATION_NOTICE_MARKER in text:
|
||||
return _retruncate(text, max_bytes=max_bytes, encoding=encoding)
|
||||
else:
|
||||
return _truncate_fresh(text, start_line=start_line,
|
||||
total_lines=total_lines,
|
||||
max_bytes=max_bytes,
|
||||
file_path=file_path, encoding=encoding)
|
||||
```
|
||||
|
||||
#### First Truncation (`_truncate_fresh`)
|
||||
|
||||
**When it fires**: Immediately when the tool call completes and the result is written into the context — the text does not yet contain a truncation marker at this point.
|
||||
|
||||
**Core logic**:
|
||||
|
||||
1. If the text size in bytes does not exceed `max_bytes`, return the original text as-is.
|
||||
2. Otherwise, slice by bytes, keep the last complete line before the cut point, and compute the start line for the next read.
|
||||
3. Append a truncation notice (`<<<TRUNCATED>>>`) at the end, prompting the reader to continue from `start_line=N`.
|
||||
|
||||
**Example**: Suppose a tool returns 3,000 lines of HTML (200 KB in total), and `max_bytes = 50 KB`:
|
||||
|
||||
```
|
||||
# Original tool output (200 KB, 3000 lines)
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...(large content)
|
||||
</body>
|
||||
</html>
|
||||
|
||||
# After first truncation, written to context (50 KB, ~750 lines)
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...(first 750 lines)
|
||||
<<<TRUNCATED>>>
|
||||
The output above was truncated.
|
||||
The full content is saved to the file and contains 3000 lines in total.
|
||||
This excerpt starts at line 1 and covers the next 51200 bytes.
|
||||
If the current content is not enough, call `read_file` with file_path=tool_result/abc123.txt start_line=751 to read more.
|
||||
```
|
||||
|
||||
The full raw content is simultaneously written to `tool_result/abc123.txt`; only the truncated fragment and the continuation hint are kept in the context.
|
||||
|
||||
#### Second Truncation (`_retruncate`)
|
||||
|
||||
**When it fires**: During Pre-Reasoning Hook processing, applied to messages that have slid out of the `recent_n` window to further shrink context usage.
|
||||
|
||||
**Core logic**:
|
||||
|
||||
1. Split the text into the raw content before `<<<TRUNCATED>>>` and the notice section after it.
|
||||
2. If the raw content still fits within the new `max_bytes` (with a 100-byte slack), return the original text as-is.
|
||||
3. Otherwise, re-slice according to the new, smaller byte limit and use regex to update the **byte count** and **continuation line number** in the notice; `file_path` remains unchanged.
|
||||
|
||||
**Example**: The same tool message from above, after it slides out of `recent_n`. Second truncation reduces `max_bytes` from 50 KB to 10 KB:
|
||||
|
||||
```
|
||||
# Before second truncation (first-truncation result already in context, 50 KB)
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...(first 750 lines)
|
||||
<<<TRUNCATED>>>
|
||||
...This excerpt starts at line 1 and covers the next 51200 bytes.
|
||||
...call `read_file` with file_path=tool_result/abc123.txt start_line=751 to read more.
|
||||
|
||||
# After second truncation (further compressed to 10 KB, ~150 lines)
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...(first 150 lines)
|
||||
<<<TRUNCATED>>>
|
||||
...This excerpt starts at line 1 and covers the next 10240 bytes.
|
||||
...call `read_file` with file_path=tool_result/abc123.txt start_line=151 to read more.
|
||||
```
|
||||
|
||||
Key point: `file_path` always points to `tool_result/abc123.txt`. The Agent can retrieve the full original content via the file reference at any time; truncation only affects the context fragment and meta info.
|
||||
|
||||
---
|
||||
|
||||
## Special Handling for the ReadFile Tool
|
||||
|
||||
`read_file` shares the same two-phase truncation mechanism as Browser Use tools, with one key difference: **the file it reads already exists on the file system**, so there is no need to save a separate copy during first truncation.
|
||||
|
||||
| Phase | Behavior |
|
||||
|----------------------------|-----------------------------------------------------------------------------------------------|
|
||||
| First truncation | Truncation happens at read time; result is written to context; original file path is already known — no need to save to `tool_result/` |
|
||||
| Within `recent_n` | Pre-Reasoning Hook makes no changes; keeps the read-time truncation result |
|
||||
| Outside `recent_n` (second truncation) | Same as other tools — more aggressive truncation is applied to the message content, meta info is updated |
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[ReadFile call] -->|Truncate at read time| B[Context: truncated content<br>original file path known]
|
||||
B --> C{Outside recent_n?}
|
||||
C -->|No| D[No changes needed]
|
||||
C -->|Yes| E[Second truncation<br>Update meta info<br>Same behavior as other tools]
|
||||
```
|
||||
|
||||
### Special Protection for Markdown Files
|
||||
|
||||
For Markdown files such as `skill.md` and rule files, CoPaw applies a **higher protection threshold** during truncation.
|
||||
|
||||
Markdown files typically carry structured knowledge or instructions; over-aggressive truncation would break their semantic integrity. Therefore, both the first and second truncation thresholds for Markdown files are set higher than those for regular tool outputs, ensuring the Agent can read as complete a structured content as possible.
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Tool result] --> B{Is it a Markdown file?}
|
||||
B -->|Yes| C[Higher truncation threshold<br>Greater protection]
|
||||
B -->|No| D[Standard truncation threshold]
|
||||
C --> E[First / second truncation logic]
|
||||
D --> E
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Long-term Memory Trigger Logic
|
||||
|
||||
> This section goes beyond the core scope of context management and briefly introduces CoPaw's long-term memory write mechanism.
|
||||
|
||||
Long-term memory is driven by three trigger paths:
|
||||
|
||||
1. **Explicitly written by the Main Agent**:
|
||||
- `Memory.md` (the backbone of long-term memory, recording persistent information such as user preferences)
|
||||
- `YYYY-MM-DD.md` (daily log)
|
||||
|
||||
2. **Triggered by context compaction**, written by the **Summarizer (ReAct Agent)**:
|
||||
- Personalization information (user preferences, habits, etc.)
|
||||
- Try-error information (failed attempts and corrective lessons)
|
||||
|
||||
3. **Scheduled task** (daily at 00:00):
|
||||
- Aggregates recent `YYYY-MM-DD.md` files
|
||||
- Merges and updates the journal into `Memory.md`
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Main Agent] --> B[Write Memory.md]
|
||||
A --> C[Write YYYY-MM-DD.md]
|
||||
D[Context reaches compaction threshold?] -->|Yes| E[Summarizer Agent]
|
||||
E --> F[Record: personalization info]
|
||||
E --> G[Record: try-error experience]
|
||||
H[Scheduled task 00:00] --> I[Aggregate recent YYYY-MM-DD.md]
|
||||
I --> J[Update Memory.md]
|
||||
```
|
||||
|
||||
This mechanism ensures that important information from short-term conversations is distilled into long-term memory and not lost when the session ends.
|
||||
|
||||
---
|
||||
|
||||
## Summary
|
||||
|
||||
The core design philosophy of CoPaw's context management can be summed up in one sentence:
|
||||
|
||||
**Keep only "what is needed now" in memory; let the file system hold "what might be needed later".**
|
||||
|
||||
Through the four-step Pre-Reasoning Hook flow, a unified two-phase truncation strategy, and persistent file system backing, CoPaw maximizes information availability for the Agent within a limited context window — no matter how long the conversation runs, the Agent can always find the context it needs.
|
||||
|
||||
---
|
||||
|
||||
*The design described in this article is implemented in [CoPaw MemoryManager](https://github.com/agentscope-ai/CoPaw/blob/main/src/copaw/agents/memory/reme_light_memory_manager.py) and [ReMe ReMeLight](https://github.com/agentscope-ai/ReMe).*
|
||||
|
|
@ -1,289 +0,0 @@
|
|||
# CoPaw 上下文管理设计解析
|
||||
|
||||
> 本文聚焦**短期上下文管理**，不涉及长期记忆模块。
|
||||
|
||||
---
|
||||
|
||||
AI Agent 在使用过程中，迟早会遇到一个让人头疼的问题：**上下文窗口被塞满了**。
|
||||
|
||||
工具调用返回了一大段 HTML、几千行日志、或者完整的文件内容——这些都会急剧消耗宝贵的 Token
|
||||
配额。随着对话轮次增加，早期的信息要么被截断，要么把整个窗口撑爆，Agent 的表现开始下滑。
|
||||
|
||||
[CoPaw](https://github.com/agentscope-ai/CoPaw) 在设计上下文管理时，围绕这个问题给出了一套系统性的答案。本文将完整拆解 *
|
||||
*CoPaw Context Management V2** 的数据结构与运行机制。
|
||||
|
||||
---
|
||||
|
||||
## 上下文长什么样？
|
||||
|
||||
在讨论"如何管理"之前，先看清楚"管理的是什么"。
|
||||
|
||||
CoPaw 的上下文分为两层：**内存层**与**文件系统层**。
|
||||
|
||||
### 内存层（In-Memory）
|
||||
|
||||
内存中维护两个核心字段：
|
||||
|
||||
- **`compact_summary`**（可选）：当历史对话被压缩后，这里存放结构化摘要，包含 `Goal`、`Constraints`、`Progress`、`KeyDecisions`、
|
||||
`NextSteps` 五个维度——相当于一份精炼的"工作备忘录"。同时还包含一个**历史对话原始数据的路径引导**，告诉 Agent 去哪里找
|
||||
`dialog/YYYY-MM-DD.jsonl`，以及建议"从后往前读"。
|
||||
- **`messages`**：当前对话的完整消息列表，是 Agent 实际推理时消费的数据。
|
||||
|
||||
### 文件系统层（File Cache）
|
||||
|
||||
对于体积较大、不适合长期驻留内存的内容，CoPaw 将其 offload 到文件系统：
|
||||
|
||||
- **历史对话原始数据**：`dialog/YYYY-MM-DD.jsonl`，按日期分文件存储
|
||||
- **工具调用结果**：`tool_result/{uuid}.txt`，设有 N 天 TTL，过期自动清理
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Context] --> B[compact_summary]
|
||||
B --> C[dialog 路径引导 + Goal/Constraints/Progress/KeyDecisions/NextSteps]
|
||||
A --> E[messages: 完整对话历史]
|
||||
A --> F[文件系统缓存]
|
||||
F --> G[dialog/YYYY-MM-DD.jsonl]
|
||||
F --> H[tool_result/uuid.txt N天TTL]
|
||||
```
|
||||
|
||||
这个设计让 Agent 既能在内存中快速访问近期对话，又能在需要时按需回溯历史——而不是把所有历史内容硬塞进上下文。
|
||||
|
||||
---
|
||||
|
||||
## 推理前做什么？Pre-Reasoning Hook
|
||||
|
||||
每轮推理正式开始前，CoPaw 会执行一个 **Pre-Reasoning Hook**，自动完成上下文的整理工作。整个流程分四步：
|
||||
|
||||
1. **工具结果压缩**（`ToolCallResultCompact`）：先处理工具调用结果，将超长内容截断并 offload 到文件系统
|
||||
2. **上下文检查**（`ContextChecker`）：计算当前上下文的 Token 使用量，判断是否超出阈值
|
||||
3. **若超出阈值**：
|
||||
- 保留最近 **X%** 的 Token（保障对话连贯性）
|
||||
- 对更早的历史对话调用 `Compactor` 生成结构化摘要
|
||||
4. **历史对话持久化**（`SaveDialog`）：将被压缩的原始对话保存到文件系统
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Pre-Reasoning Hook] --> B[ToolCallResultCompact]
|
||||
B --> C[ContextChecker]
|
||||
C --> D{Token > 阈值?}
|
||||
D -->|是| E[保留近期 X% Token]
|
||||
E --> F[Compact & 生成摘要]
|
||||
F --> G[SaveDialog: 持久化到文件]
|
||||
D -->|否| H[正常推理]
|
||||
```
|
||||
|
||||
这个流程确保每次推理开始前，上下文都处于一个"干净"的状态。
|
||||
|
||||
---
|
||||
|
||||
## 工具结果 Offload：统一的两阶段截断
|
||||
|
||||
工具调用结果是上下文膨胀的主要来源之一。CoPaw 采用**两阶段截断**策略，将截断时机与截断力度分离：
|
||||
|
||||
- **一次截断**：在工具调用结果**写入上下文时**立即触发，所有工具（包括 `read_file`）统一适用。截断后将完整原始内容保存到
|
||||
`tool_result/{uuid}.txt`，并在消息中附注文件路径与起始行提示。
|
||||
- **二次截断**：在 Pre-Reasoning Hook 处理时，对**已滑出 `recent_n` 范围**的历史消息触发，截断更为激进，进一步压缩上下文占用。
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[工具调用完成] --> T[一次截断<br>写入上下文时立即执行]
|
||||
T --> S[完整内容写入 tool_result/uuid.txt<br>消息附注文件路径 + 起始行]
|
||||
S --> B{Pre-Reasoning Hook<br>该消息在 recent_n 内?}
|
||||
B -->|是| C[无需处理<br>保持一次截断结果]
|
||||
B -->|否| D[二次截断<br>更激进压缩<br>file_path 不变]
|
||||
```
|
||||
|
||||
这样设计的好处在于：一次截断保证所有工具结果从写入那刻起就不会撑爆上下文；二次截断则随着对话推进自动"淡化"
|
||||
历史信息，始终为近期内容留出充足空间。
|
||||
|
||||
### 以 Browser Use 类工具为例
|
||||
|
||||
| 阶段 | 行为 |
|
||||
|-------------------|------------------------------------------------------------------------------------|
|
||||
| 一次截断 | 工具返回结果后立即截断，完整内容写入 `tool_result/uuid.txt`，消息附注 "FullText saved to xxxx，请从第 N 行开始读" |
|
||||
| 在 recent_n 内 | Pre-Reasoning Hook 不做额外处理，保持一次截断结果 |
|
||||
| 超出 recent_n（二次截断） | 解析已有的消息结果，对原始内容做更激进的截断，同步更新消息中的 meta 信息（如行号提示）；**`file_path` 不变**，仍指向原文件 |
|
||||
|
||||
二次截断的关键在于：**原始完整内容始终保存在同一个文件路径下**，无论经过多少轮截断，Agent 都能通过文件引用找到原始内容；截断只影响上下文中的消息片段和
|
||||
meta 信息，不改变文件。
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[Browser Use Result] -->|一次截断| B[上下文: 片段 + file_path + 起始行]
|
||||
B --> C{超出 recent_n?}
|
||||
C -->|否| D[保持不变]
|
||||
C -->|是| E[解析现有消息<br>对原始内容二次截断<br>更新 meta 信息]
|
||||
E --> F[上下文: 更短片段 + 同一 file_path]
|
||||
```
|
||||
|
||||
### 两阶段截断的代码实现与示例
|
||||
|
||||
截断逻辑的入口是 `truncate_text_output`，它根据文本中是否已包含 `<<<TRUNCATED>>>` 标记来分发到两个不同的函数：
|
||||
|
||||
```python
|
||||
def truncate_text_output(text, start_line=1, total_lines=0,
|
||||
max_bytes=DEFAULT_MAX_BYTES,
|
||||
file_path=None, encoding="utf-8") -> str:
|
||||
if TRUNCATION_NOTICE_MARKER in text:
|
||||
return _retruncate(text, max_bytes=max_bytes, encoding=encoding)
|
||||
else:
|
||||
return _truncate_fresh(text, start_line=start_line,
|
||||
total_lines=total_lines,
|
||||
max_bytes=max_bytes,
|
||||
file_path=file_path, encoding=encoding)
|
||||
```
|
||||
|
||||
#### 一次截断（`_truncate_fresh`）
|
||||
|
||||
**触发时机**：工具调用完成、结果写入上下文时立即执行，此时文本中尚不含截断标记。
|
||||
|
||||
**核心逻辑**：
|
||||
|
||||
1. 若文本字节数未超过 `max_bytes`，直接返回原文；
|
||||
2. 否则按字节切片，保留截断点前最后一个完整行，计算下一段应从哪一行开始；
|
||||
3. 在末尾追加截断通知（`<<<TRUNCATED>>>`），提示后续从 `start_line=N` 继续读取。
|
||||
|
||||
**示例**：假设一个工具返回了 3 000 行的 HTML 内容（共 200 KB），而 `max_bytes = 50 KB`：
|
||||
|
||||
```
|
||||
# 原始工具输出（200 KB，共 3000 行）
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...（大量内容）
|
||||
</body>
|
||||
</html>
|
||||
|
||||
# 一次截断后写入上下文（50 KB，约 750 行）
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...（前 750 行）
|
||||
<<<TRUNCATED>>>
|
||||
The output above was truncated.
|
||||
The full content is saved to the file and contains 3000 lines in total.
|
||||
This excerpt starts at line 1 and covers the next 51200 bytes.
|
||||
If the current content is not enough, call `read_file` with file_path=tool_result/abc123.txt start_line=751 to read more.
|
||||
```
|
||||
|
||||
完整原始内容同时写入 `tool_result/abc123.txt`，上下文中仅保留截断片段与续读提示。
|
||||
|
||||
#### 二次截断（`_retruncate`）
|
||||
|
||||
**触发时机**：Pre-Reasoning Hook 处理时，对已滑出 `recent_n` 范围的历史消息执行，进一步压缩上下文占用。
|
||||
|
||||
**核心逻辑**：
|
||||
|
||||
1. 从文本中分离出 `<<<TRUNCATED>>>` 前的原始内容与后面的通知部分；
|
||||
2. 若原始内容仍未超出新的 `max_bytes`（带 100 字节宽松量），直接返回原文；
|
||||
3. 否则按新的更小字节限制重新切片，并通过正则替换通知中的 **字节数** 与 **续读行号**，`file_path` 保持不变。
|
||||
|
||||
**示例**：同样是上面那条工具消息，在它滑出 `recent_n` 之后，二次截断将 `max_bytes` 从 50 KB 压缩到 10 KB：
|
||||
|
||||
```
|
||||
# 二次截断前（上下文中已有一次截断结果，50 KB）
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...（前 750 行）
|
||||
<<<TRUNCATED>>>
|
||||
...This excerpt starts at line 1 and covers the next 51200 bytes.
|
||||
...call `read_file` with file_path=tool_result/abc123.txt start_line=751 to read more.
|
||||
|
||||
# 二次截断后（进一步压缩至 10 KB，约 150 行）
|
||||
<html>
|
||||
<head>...</head>
|
||||
<body>
|
||||
...（前 150 行）
|
||||
<<<TRUNCATED>>>
|
||||
...This excerpt starts at line 1 and covers the next 10240 bytes.
|
||||
...call `read_file` with file_path=tool_result/abc123.txt start_line=151 to read more.
|
||||
```
|
||||
|
||||
关键点：`file_path` 始终指向 `tool_result/abc123.txt`，Agent 随时可通过文件引用获取完整原始内容；截断只影响上下文片段与 meta 信息。
|
||||
|
||||
---
|
||||
|
||||
## ReadFile 工具的特殊处理
|
||||
|
||||
`read_file` 与 Browser Use 类工具共享同一套两阶段截断机制，但有一个关键区别：**它读取的文件本身已存在于文件系统**
|
||||
，无需在一次截断时另行保存。
|
||||
|
||||
| 阶段 | 行为 |
|
||||
|-------------------|---------------------------------------------------|
|
||||
| 一次截断 | 在读取时即完成截断，结果写入上下文；原始文件路径已知，无需额外保存到 `tool_result/` |
|
||||
| 在 recent_n 内 | Pre-Reasoning Hook 不做任何修改，保持读取时的截断结果 |
|
||||
| 超出 recent_n（二次截断） | 与其他工具相同，对消息内容做更激进的截断，更新 meta 信息 |
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[ReadFile 调用] -->|读取时截断| B[上下文: 截断内容<br>原始文件路径已知]
|
||||
B --> C{超出 recent_n?}
|
||||
C -->|否| D[无需修改]
|
||||
C -->|是| E[二次截断<br>更新 meta 信息<br>与其他工具行为一致]
|
||||
```
|
||||
|
||||
### Markdown 文件的特殊保护
|
||||
|
||||
对于 `skill.md`、规则文件等 Markdown 文件，CoPaw 在截断时给予**更大的保护阈值**。
|
||||
|
||||
Markdown 文件通常承载结构化的知识或指令，过度截断会破坏其完整语义。因此，在一次截断和二次截断时，Markdown
|
||||
文件的截断触发上限均高于普通工具输出，确保 Agent 能读到尽可能完整的结构化内容。
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
A[工具结果] --> B{是 Markdown 文件?}
|
||||
B -->|是| C[更高截断阈值<br>更大保护]
|
||||
B -->|否| D[标准截断阈值]
|
||||
C --> E[一次 / 二次截断逻辑]
|
||||
D --> E
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 长期记忆的触发逻辑
|
||||
|
||||
> 本节超出上下文管理的核心范畴，简要介绍 CoPaw 的长期记忆写入机制。
|
||||
|
||||
长期记忆由三个触发路径驱动：
|
||||
|
||||
1. **主 Agent 主动写入**：
|
||||
- `Memory.md`（长期记忆主干，记录用户偏好等持久信息）
|
||||
- `YYYY-MM-DD.md`（当日日志）
|
||||
|
||||
2. **上下文压缩触发时**，由 **Summarizer（ReAct Agent）** 写入：
|
||||
- 个性化信息（用户偏好、习惯等）
|
||||
- Try-error 信息（失败尝试与修正经验）
|
||||
|
||||
3. **定时任务**（每日 00:00）：
|
||||
- 汇总最近的 `YYYY-MM-DD.md` 文件
|
||||
- 将日志整合更新到 `Memory.md`
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Main Agent] --> B[写入 Memory.md]
|
||||
A --> C[写入 YYYY-MM-DD.md]
|
||||
D[上下文达到压缩阈值?] -->|是| E[Summarizer Agent]
|
||||
E --> F[记录: 个性化信息]
|
||||
E --> G[记录: Try-Error 经验]
|
||||
H[定时任务 00:00] --> I[汇总最近 YYYY-MM-DD.md]
|
||||
I --> J[更新 Memory.md]
|
||||
```
|
||||
|
||||
这套机制确保了短期对话中的重要信息能够沉淀为长期记忆，不因对话结束而丢失。
|
||||
|
||||
---
|
||||
|
||||
## 小结
|
||||
|
||||
CoPaw 上下文管理的核心设计哲学可以用一句话概括：
|
||||
|
||||
**让内存只放"现在需要的"，让文件系统保管"之后可能需要的"。**
|
||||
|
||||
通过 Pre-Reasoning Hook 的四步流程、统一的两阶段截断策略，以及文件系统的持久化支撑，CoPaw 在有限的上下文窗口内为 Agent
|
||||
提供了最大程度的信息可用性——无论对话持续多久，Agent 总能找到它需要的上下文。
|
||||
|
||||
---
|
||||
|
||||
*本文设计对应实现可参考 [CoPaw MemoryManager](https://github.com/agentscope-ai/CoPaw/blob/main/src/copaw/agents/memory/reme_light_memory_manager.py)
|
||||
与 [ReMe ReMeLight](https://github.com/agentscope-ai/ReMe)。*
|
||||
158
docs/index.md
158
docs/index.md
|
|
@ -1,158 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# ReMe: Memory Management Kit for Agents
|
||||
<em>Remember Me, Refine Me.</em>
|
||||
|
||||
<div class="flex justify-center space-x-3">
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.10+-blue" alt="Python Version"></a>
|
||||
<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/pypi-0.2.0.0-blue?logo=pypi" alt="PyPI Version"></a>
|
||||
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
|
||||
<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
ReMe provides AI agents with a unified memory system—enabling the ability to extract, reuse, and share memories across
|
||||
users, tasks, and agents.
|
||||
|
||||
Agent memory can be viewed as:
|
||||
|
||||
```text
|
||||
Agent Memory = Long-Term Memory + Short-Term Memory
|
||||
= (Personal + Task + Tool) Memory + (Working Memory)
|
||||
```
|
||||
|
||||
Personal memory helps "**understand user preferences**", task memory helps agents "**perform better**", and tool memory enables "**smarter tool usage**". Working memory provides **short-term contextual memory** by keeping recent reasoning and tool results compact and accessible without overflowing the model's context window.
|
||||
|
||||
## Architecture Design
|
||||
|
||||
<p align="center">
|
||||
<img src="_static/figure/reme_usage.jpg" alt="ReMe Logo" width="100%">
|
||||
</p>
|
||||
|
||||
ReMe integrates three complementary memory capabilities:
|
||||
|
||||
:::{admonition} Task Memory/Experience
|
||||
:class: note
|
||||
|
||||
Procedural knowledge reused across agents
|
||||
|
||||
- **Success Pattern Recognition**: Identify effective strategies and understand their underlying principles
|
||||
- **Failure Analysis Learning**: Learn from mistakes and avoid repeating the same issues
|
||||
- **Comparative Patterns**: Different sampling trajectories provide more valuable memories through comparison
|
||||
- **Validation Patterns**: Confirm the effectiveness of extracted memories through validation modules
|
||||
|
||||
:::
|
||||
|
||||
Learn more about how to use task memory from [task memory](task_memory/task_memory.md)
|
||||
|
||||
:::{admonition} Personal Memory
|
||||
:class: note
|
||||
|
||||
Contextualized memory for specific users
|
||||
|
||||
- **Individual Preferences**: User habits, preferences, and interaction styles
|
||||
- **Contextual Adaptation**: Intelligent memory management based on time and context
|
||||
- **Progressive Learning**: Gradually build deep understanding through long-term interaction
|
||||
- **Time Awareness**: Time sensitivity in both retrieval and integration
|
||||
|
||||
:::
|
||||
|
||||
Learn more about how to use personal memory from [personal memory](personal_memory/personal_memory.md)
|
||||
|
||||
:::{admonition} Tool Memory
|
||||
:class: note
|
||||
|
||||
Data-driven tool selection and usage optimization
|
||||
|
||||
- **Historical Performance Tracking**: Success rates, execution times, and token costs from real usage
|
||||
- **LLM-as-Judge Evaluation**: Qualitative insights on why tools succeed or fail
|
||||
- **Parameter Optimization**: Learn optimal parameter configurations from successful calls
|
||||
- **Dynamic Guidelines**: Transform static tool descriptions into living, learned manuals
|
||||
|
||||
:::
|
||||
|
||||
Learn more about how to use tool memory from [tool memory](tool_memory/tool_memory.md)
|
||||
|
||||
:::{admonition} Working Memory
|
||||
:class: note
|
||||
|
||||
Short‑term contextual memory for long‑running agents via **message offload & reload**:
|
||||
|
||||
- **Message Offload**: Compact large tool outputs to external files or LLM summaries
|
||||
- **Message Reload**: Search (`grep_working_memory`) and read (`read_working_memory`) offloaded content on demand
|
||||
|
||||
**📖 Concept & API**:
|
||||
- Message offload overview: [Message Offload](work_memory/message_offload.md)
|
||||
- Offload / reload operators: [Message Offload Ops](work_memory/message_offload_ops.md), [Message Reload Ops](work_memory/message_reload_ops.md)
|
||||
|
||||
**💻 End‑to‑End Demo**:
|
||||
- Working memory quick start: [Working Memory Quick Start](cookbook/working/quick_start.md)
|
||||
- ReAct agent with working memory: [react_agent_with_working_memory.py](../cookbook/working_memory/react_agent_with_working_memory.py)
|
||||
- Runnable demo: [work_memory_demo.py](../cookbook/working_memory/work_memory_demo.py)
|
||||
|
||||
:::
|
||||
|
||||
---
|
||||
|
||||
## 📦 Ready-to-Use Memories
|
||||
|
||||
ReMe provides pre-built memories that agents can immediately use with verified best practices:
|
||||
|
||||
### Available Memories
|
||||
|
||||
- **`appworld.jsonl`**: Memory library for Appworld agent interactions, covering complex task planning and execution
|
||||
patterns
|
||||
- **`bfcl_v3.jsonl`**: Working memory library for BFCL tool calls
|
||||
|
||||
### Quick Usage
|
||||
|
||||
```{code-cell}
|
||||
# Load pre-built memories
|
||||
response = requests.post("http://localhost:8002/vector_store", json={
|
||||
"workspace_id": "appworld",
|
||||
"action": "load",
|
||||
"path": "./docs/library/"
|
||||
})
|
||||
|
||||
# Query relevant memories
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "appworld",
|
||||
"query": "How to navigate to settings and update user profile?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
||||
|
||||
## 📚 Resources
|
||||
|
||||
- **[Installation Guide](installation.md)**, **[Quick Start](quick_start.md)**: Get started quickly with practical examples
|
||||
- **[Vector Storage Setup](vector_store_api_guide.md)**: Configure local, Elasticsearch, Qdrant, ChromaDB, ObVec (OceanBase / seekdb via pyobvector) or Hologres storage and usage
|
||||
- **[MCP Guide](mcp_quick_start.md)**: Create MCP services
|
||||
- **[Personal Memory](personal_memory/personal_memory.md)**, **[Task Memory](task_memory/task_memory.md)** & **[Tool Memory](tool_memory/tool_memory.md)**: Operators used in personal memory, task memory and tool memory. You can modify the config to customize the pipelines.
|
||||
- **[Example Collection](./cookbook/appworld/quickstart.md)**: Real use cases and best practices
|
||||
|
||||
---
|
||||
|
||||
## Citation
|
||||
|
||||
```bibtex
|
||||
@software{AgentscopeReMe2025,
|
||||
title = {AgentscopeReMe: Memory Management Kit for Agents},
|
||||
author = {Li Yu, Jiaji Deng, Zouying Cao},
|
||||
url = {https://reme.agentscope.io},
|
||||
year = {2025}
|
||||
}
|
||||
```
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Installation
|
||||
|
||||
### Install from PyPI (Recommended)
|
||||
|
||||
```bash
|
||||
pip install reme-ai
|
||||
```
|
||||
|
||||
### Install from Source
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
### Environment Configuration
|
||||
|
||||
Copy `example.env` to .env and modify the corresponding parameters:
|
||||
|
||||
```bash
|
||||
FLOW_LLM_API_KEY=sk-xxxx
|
||||
FLOW_LLM_BASE_URL=https://xxxx/v1
|
||||
FLOW_EMBEDDING_API_KEY=sk-xxxx
|
||||
FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
|
||||
```
|
||||
|
||||
You’ve completed the installation! Head over to [quick start](quick_start.md) to see how to start using Reme quickly.
|
||||
|
|
@ -1,193 +0,0 @@
|
|||
{"workspace_id": "appworld_8b_0725", "memory_id": "dd0b9a452acc4d85a8ebd519976a01ab", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication and multiple steps to retrieve data.", "content": "Always verify the API documentation for required parameters and response structures before executing code. Missing or incorrect parameters can lead to failed API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4cf250d689254fd79fb068b64819cd96", "memory_type": "task", "when_to_use": "When mapping IDs to human-readable attributes (e.g., song IDs to titles).", "content": "Ensure all necessary APIs for mapping are called with valid inputs and handle cases where mappings might fail due to missing or incomplete data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "41903931197542e99040298d8d58bca7", "memory_type": "task", "when_to_use": "When searching for specific data in paginated API responses or when extracting structured content from unstructured text.", "content": "Ensure the query parameters align with the expected data format, and validate intermediate outputs (e.g., note titles, tags) to confirm relevance before proceeding with further steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b2cec859b815474aa84a984a458eae0d", "memory_type": "task", "when_to_use": "When encountering persistent errors related to invalid identifiers, such as phone numbers or email addresses, during API calls.", "content": "Validate the format and existence of identifiers early in the process, and consider fallback strategies (e.g., using alternate contact methods) if primary identifiers fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "580dd7fce16b4364bffb2d6a3393c13b", "memory_type": "task", "when_to_use": "When accessing an API that requires authentication but credentials are not explicitly provided in the task.", "content": "Always verify the availability of required credentials (e.g., passwords, tokens) before proceeding with steps that depend on authenticated access. If credentials are missing, halt execution and request clarification or additional information from the user.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3408d3700bbf4ce3a1cc0fb3b7f649c4", "memory_type": "task", "when_to_use": "When extracting structured data from unstructured text, such as note content, ensure proper parsing logic is implemented.", "content": "Develop robust parsing logic by identifying delimiters or patterns in the data to correctly extract relevant information without including extraneous details.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4cb32a4fbaf6481fbe27e53a38d8c6b9", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve comprehensive data sets, such as playlists or songs.", "content": "The step pattern involved iterating through all pages of the API response using a loop (e.g., while True) and checking for empty responses to terminate. This ensures no data is missed and allows aggregation of complete information across multiple pages, which is crucial when identifying the most-liked song across many playlists.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "797e8c57ef684b188ae40943ae2a7e46", "memory_type": "task", "when_to_use": "When completing a task that requires returning a final answer to the user or system.", "content": "After retrieving and processing all necessary data, the agent finalized the task by explicitly calling apis.supervisor.complete_task() with the derived answer. This step ensures proper task closure and provides clarity on the outcome, aligning with the user's query.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c2646b56478a4ab7963e44a2fb6ad49d", "memory_type": "task", "when_to_use": "When variables are used across multiple steps and depend on prior successful executions.", "content": "Always initialize variables with default values before their first use to prevent `NameError` or undefined variable issues in case of skipped or failed steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f36768adc9ed49a78bac84a818f2ad3c", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens, especially after a previous session.", "content": "Always verify the validity of access tokens at the start of a task and re-authenticate if necessary to avoid unauthorized access errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "35d0f06f3cfa479e831d4a564e7d2a79", "memory_type": "task", "when_to_use": "When processing paginated API responses or datasets with filters like date ranges.", "content": "Ensure all filtering parameters (e.g., date range, transaction type) are correctly applied during API calls to retrieve only the relevant data, minimizing unnecessary processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "eafbc872cccf41109f63fed0de00ecbf", "memory_type": "task", "when_to_use": "When encountering persistent authentication or authorization errors despite valid credentials.", "content": "Always verify that the API endpoint supports the parameters being passed (e.g., contact ID vs. phone number) and ensure the correct format is used for identifiers like phone numbers.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2da66c8f765b4e69afb1b5e8063ad355", "memory_type": "task", "when_to_use": "When searching for specific data in an app but receiving irrelevant results.", "content": "Refine search queries using multiple relevant keywords or exclude irrelevant tags to narrow down results effectively.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "10253db42db14e72bc0fb5c771a62c79", "memory_type": "task", "when_to_use": "When a task cannot proceed due to external dependencies like user-provided inputs or manual actions.", "content": "Clearly communicate the dependency to the user and provide explicit instructions on how to resolve it. Avoid infinite loops of requests for the same information without offering alternative solutions or fallback options.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "82ee0ec74b92496ea01efd2da9851838", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, and the access token must be included in every request.", "content": "API calls initially failed due to missing access tokens. By explicitly including the access token in each API call (e.g., `create_transaction_comment` and `like_transaction`), the requests succeeded. This highlights the importance of verifying authentication requirements for each API endpoint.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "13ab516cd08e4b519abe59d16d52eebd", "memory_type": "task", "when_to_use": "When filtering data based on relationships or specific criteria from multiple sources.", "content": "The phone app's `search_contacts` API was used to filter contacts by relationship ('roommate'). These emails were then cross-referenced with Venmo transaction sender emails to isolate relevant transactions. This demonstrates the effectiveness of combining data from different APIs to achieve precise filtering.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "afe36e3f66f248a9b6564e88a48c82a0", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve a complete dataset for analysis.", "content": "The agent successfully implemented a loop to iterate through paginated API responses using `page_index` and `page_limit`. By incrementing the page index until no more data was returned, it ensured that all available data (in this case, song recommendations) was retrieved. This approach is effective in scenarios where datasets are divided across multiple pages and ensures completeness of information for subsequent processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96decc600bb948a3a69890d9580cbb2d", "memory_type": "task", "when_to_use": "When handling API-based tasks requiring authentication, such as login or access tokens.", "content": "Always ensure that required variables like passwords and access tokens are retrieved and stored before making authenticated API calls. Missing these steps leads to runtime errors and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1f613481f4e7406d9225ee1f2e1bd40a", "memory_type": "task", "when_to_use": "When interacting with paginated APIs where data spans multiple pages.", "content": "Always ensure pagination handling is correctly implemented, verifying that all pages are retrieved before processing the data. Missing pages can lead to incomplete results and incorrect conclusions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "90625829d762437f9f3267d6656b12d7", "memory_type": "task", "when_to_use": "When interpreting ambiguous user queries such as 'most-played' or 'album library'.", "content": "Clarify assumptions about proxy metrics (e.g., frequency vs. play count) early in the process to align with user intent and available data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96cc01855efd4923b1785080a178e815", "memory_type": "task", "when_to_use": "When the task requires accessing specific data (e.g., artist recommendations) but the available APIs do not explicitly provide that data.", "content": "Always verify that the required data fields or endpoints exist in the API specifications before committing to a solution path. If critical data is missing, halt execution and communicate the limitation early.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f64c293d83fe4bacaac679a0c59ee5e0", "memory_type": "task", "when_to_use": "When designing multi-step workflows involving paginated API responses.", "content": "Ensure that all pages of paginated data are fully processed, and validate that the aggregated data contains all required fields for downstream tasks.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "5cadd3040a1342caae6e36441c831980", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to collect all available data for analysis.", "content": "The step pattern involved iterating through API pages using a `while` loop, checking for empty responses to terminate the loop, and aggregating results into a list. This ensured complete data retrieval without missing any entries, which is critical for accurate downstream analysis.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "16440dbfe8164e448eca74e13f1f3de7", "memory_type": "task", "when_to_use": "When analyzing frequency of specific attributes (e.g., artist names) within a dataset.", "content": "The step pattern used a `defaultdict` to count occurrences of each artist name extracted from song recommendations. By leveraging Python's `min()` function, the least frequent artist was identified efficiently. This approach ensures scalability and clarity in determining low-frequency elements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ee5ef25296c44aab90d350994c767f57", "memory_type": "task", "when_to_use": "When interpreting data fields in API responses, especially when mapping them to real-world entities like artists or users.", "content": "Do not assume that a field name (e.g., 'owner_email') directly corresponds to the desired entity without explicit confirmation from API documentation or schema details. Misinterpreting fields can lead to incorrect conclusions and outputs.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "03b2f4565d514f0f973864e62dea06a2", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication credentials, ensure the correct method names are used.", "content": "Always verify API method names by consulting the API documentation before making calls. Misnaming methods like using 'get_account_passwords' instead of 'show_account_passwords' can lead to execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ec1975100740488dbc32fb656f979aa5", "memory_type": "task", "when_to_use": "When aggregating data from multiple sources (e.g., playlists, albums, direct songs), ensure all relevant data sources are included in the process.", "content": "Failure to account for all potential data sources (such as neglecting album data when searching for the oldest song) can result in incomplete or incorrect results. Always map out all possible data streams before executing code.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e1864f22b2f1421997ba76b3405bb48e", "memory_type": "task", "when_to_use": "When comparing date-based values retrieved from APIs, confirm the format of the dates is consistent and comparable.", "content": "Assuming a specific date format without verifying it can lead to inaccurate comparisons. Ensure that release_date fields are in a standard format (e.g., YYYY-MM-DD) before performing operations like finding the minimum value.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8a1182c432ed4d45ae9e98266c6c97b9", "memory_type": "task", "when_to_use": "When interacting with APIs that return paginated results, especially for tasks requiring comprehensive data retrieval.", "content": "Always verify if the API response is paginated and implement logic to iterate through all pages to ensure complete data collection. Missing pagination can lead to incomplete or incorrect results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1cb2f84dd68644a8a9fbe2b9f553206a", "memory_type": "task", "when_to_use": "When comparing attributes like release dates across large datasets from multiple sources.", "content": "Standardize the extraction and comparison logic for attributes (e.g., release dates) to ensure consistency and avoid overlooking edge cases, such as missing or malformed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6a2d9ee8375b48c5885b822cb9e7f8fd", "memory_type": "task", "when_to_use": "When needing to retrieve and analyze data from multiple API endpoints to identify the oldest or earliest item based on a date field.", "content": "The step pattern involved sequentially retrieving songs, albums, and playlists using APIs, extracting release dates for songs, and sorting them to find the oldest. By focusing first on the song library (where individual song data is readily available), the agent avoided unnecessary complexity with albums and playlists. Sorting the list of songs by their release date ensured an accurate identification of the oldest song.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8aade665f3a5450eb06bae5c5f14ea23", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed correctly without prematurely breaking the loop.", "content": "Always verify that loops iterating through paginated data check for valid termination conditions and handle empty responses appropriately to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a983392500e34f17ae315459a96d803b", "memory_type": "task", "when_to_use": "When encountering API authentication errors despite multiple login attempts.", "content": "Always verify the existence of a login mechanism in the relevant app before attempting authentication. If login APIs are unavailable, reassess whether credentials can be bypassed or alternative methods exist to access required data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "fa5b76785401422698246c9471c2a7fd", "memory_type": "task", "when_to_use": "When iterating through APIs to locate specific functionality (e.g., Venmo payment requests).", "content": "Systematically review all available APIs using documentation tools (e.g., show_api_descriptions) to identify the correct method and parameters before executing code, minimizing wasted effort on incorrect assumptions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d36dd3452bfa4b3b9ad84bdbc131de1c", "memory_type": "task", "when_to_use": "When distinguishing between processed and unprocessed entities in a task involving multiple items.", "content": "Clearly log and report which entities were successfully processed and which ones were skipped due to insufficient data. This ensures transparency and facilitates follow-up actions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e2dc882cfd39408c9242f7672b018efa", "memory_type": "task", "when_to_use": "When encountering authentication failures due to missing credentials in multi-step workflows.", "content": "Always verify the availability of required credentials (e.g., passwords, tokens) before initiating a task. If credentials are unavailable, pause execution and explicitly request the missing information from the user or an alternative source.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dc98e1533ba47789b2ef70a16c5bfa2", "memory_type": "task", "when_to_use": "When interacting with APIs that do not explicitly provide a 'status' field in their response.", "content": "Always review API documentation to understand the structure of responses and infer statuses or states based on available fields, such as timestamps or flags, instead of assuming standard fields like 'status' exist.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "da07ce9be41c449dbe8a721025add3c0", "memory_type": "task", "when_to_use": "When an API call fails due to expired or missing tokens.", "content": "Re-authenticate to refresh tokens and validate their inclusion in subsequent requests, ensuring proper header or parameter usage as per API specifications.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd99d20734004a0680bc4256adb9f049", "memory_type": "task", "when_to_use": "When summing values from paginated or filtered API responses, such as transaction histories.", "content": "Paginate through all available data and validate filters (e.g., date ranges, user-specific queries) to ensure completeness and accuracy of aggregated results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ff2dbdff1de9475886d71ffafaa79990", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, and the initial login attempt fails.", "content": "Always verify whether the username format (e.g., email vs. phone number) aligns with the API's expected input. Misalignment in username format can lead to persistent authentication failures despite having the correct password.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f28886ed03c240ba8829af40bbc92935", "memory_type": "task", "when_to_use": "When handling incomplete data about user actions (e.g., who has already paid).", "content": "If the system lacks direct methods to confirm prior transactions or payments, cross-reference available data sources (e.g., Venmo transaction history, notes, or external records) before proceeding with irreversible actions like payment requests.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b5ca91a40c514aa0a04fbb0eca17303a", "memory_type": "task", "when_to_use": "When handling date-sensitive queries in API calls, especially when the current date is not provided.", "content": "Always verify and dynamically determine the relevant date range based on the current context or explicitly confirm assumptions about dates with the user to avoid incorrect filtering of data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6ddc2bdd41194904969b6d68a46bf75b", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, such as Venmo or Phone apps.", "content": "Always verify the validity of access tokens before making API calls. If an access token has expired, reauthenticate to obtain a new one before proceeding with subsequent steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "820e14efc58d4f72a048454102c4f0b2", "memory_type": "task", "when_to_use": "When filtering data from paginated API responses, such as transaction histories or contact lists.", "content": "Ensure proper handling of pagination by looping through all available pages until no further results are returned. Failure to do so can result in incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0b069a92d0cc4c2596aed607eb0b1aec", "memory_type": "task", "when_to_use": "When identifying specific entities (e.g., roommates) based on relationships or attributes in user data.", "content": "Cross-reference relationship labels (e.g., 'friend', 'roommate') and other contextual clues to accurately identify relevant entities. Misidentification can lead to incorrect filtering and skewed results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "691d997b173349c1bd0438fa8e22db25", "memory_type": "task", "when_to_use": "When encountering repeated `NameError` issues due to undefined variables during multi-step processes.", "content": "Ensure all required variables are explicitly defined in the current scope before they are referenced. Validate intermediate outputs at each step to maintain flow continuity.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d4259fde06f247bb9f903e72eeab0f68", "memory_type": "task", "when_to_use": "When handling API authentication or credential retrieval in a Python REPL environment.", "content": "Ensure that all top-level code statements are properly aligned without unintended indentation to avoid syntax errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7bbf913f24f1407392ba12e3bce532d0", "memory_type": "task", "when_to_use": "When processing paginated API responses, such as playlists or songs.", "content": "Always handle pagination explicitly by iterating through pages until no further results are returned to ensure completeness of data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd9979919ed04ef096834c0f397262ff", "memory_type": "task", "when_to_use": "When interacting with APIs that enforce unique constraints (e.g., one review per user per song), ensure proper checks before creating or updating data.", "content": "Always verify ownership and existence of related records (e.g., reviews) before attempting to create new ones to avoid conflicts like duplicate entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4710adaed705414ba9f4f1069ce2caf9", "memory_type": "task", "when_to_use": "When encountering an error due to unavailable functionality in an API.", "content": "If a critical API feature is missing, acknowledge the limitation early and adjust the task scope or requirements to align with available capabilities.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b01253eabb884fac9e348918a307051b", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed without prematurely breaking the loop.", "content": "Always verify the termination condition for loops that handle paginated data to avoid missing records from subsequent pages.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1a9ce11b6133414eb716ae1cbf099849", "memory_type": "task", "when_to_use": "When extracting specific fields (e.g., passwords or tokens) from API responses, ensure proper syntax and indentation in code.", "content": "Syntax errors due to unexpected indentation can disrupt task execution; validate code formatting during development.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "094b78e4236d4174a22261842b724826", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite multiple username/password attempts.", "content": "Always verify the exact authentication requirements (e.g., username format, password validity) by consulting API documentation or system guidelines before concluding that credentials are incorrect.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d7448a5889654e02996b1d52fb9454ba", "memory_type": "task", "when_to_use": "When working with file paths in APIs that expect specific formats (e.g., relative vs. absolute paths).", "content": "Ensure file paths are formatted correctly according to the API's requirements. Misaligned path formats can result in validation errors or failed requests.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "646b19759ef147ed89f5f65aee7914e1", "memory_type": "task", "when_to_use": "When parsing semi-structured data like text files with varying formats for key information (e.g., costs).", "content": "Use flexible pattern-matching techniques (e.g., regex) and implement fallback logic to handle cases where the primary pattern does not match. This ensures robustness against unexpected data formats.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "17b1d595fa3543708f4675d41b92ceb2", "memory_type": "task", "when_to_use": "When needing to extract and aggregate specific data from multiple files in a directory.", "content": "The step pattern involved listing all relevant files, filtering them by criteria (e.g., year and file type), reading their contents using an API, and extracting key information (e.g., 'Total Amount') via parsing. Using regex or specific string matching ensured accurate extraction of monetary values, even if formatting varied slightly across files. Summing these values provided the desired total. This approach is effective for batch processing structured text files with consistent patterns.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "27846ebab5994633bf9f75cef16e3dd0", "memory_type": "task", "when_to_use": "When encountering API errors due to incorrect parameter names or response structures.", "content": "Upon receiving an error related to missing parameters or unexpected data types, inspecting the raw API response helped identify the correct structure (e.g., locating the 'content' field within a dictionary). Adjusting subsequent calls based on this insight resolved the issue. This iterative debugging technique ensures robust interactions with APIs whose documentation may not fully describe edge cases.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "41b874114bb04241a345d3cdb1f8cbf3", "memory_type": "task", "when_to_use": "When encountering repeated authentication failures despite using expected credentials.", "content": "Verify the validity of credentials early in the process and confirm the authentication mechanism (e.g., token-based, username/password). If credentials are outdated or invalid, request updated information before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "97eb544e9dc34a01b85643253ad83b07", "memory_type": "task", "when_to_use": "When parsing text files for specific information, such as costs, and the expected keywords or formats are not found.", "content": "Expand keyword searches and handle variations in data formatting (e.g., currency symbols, multi-word labels) to ensure robust extraction of target information.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d6ca6f602084470f8d2f2b35900dc520", "memory_type": "task", "when_to_use": "When API documentation indicates required parameters but the values provided fail validation.", "content": "Cross-check parameter assumptions (e.g., username format, password sources) against explicit API specifications and seek clarification on ambiguous fields like 'username' or 'password'. Misinterpretation of required inputs can lead to repeated failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e8df63d9651546709bbae9991fe2a345", "memory_type": "task", "when_to_use": "When performing multi-step operations like file organization, ensure intermediate steps (e.g., directory creation) are completed successfully before proceeding.", "content": "Failure to create necessary directories or validate their existence can cause subsequent operations (e.g., moving files) to fail. Always implement checks to confirm the success of prerequisite steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1fbf1b2302634d778295158072e17044", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite using available credentials.", "content": "Verify whether the API requires an OAuth token or another form of authentication beyond a simple password. If no method exists to retrieve such tokens, escalate the issue as unresolvable with current tools.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f093dc951be44c4eafafb21cc1b3d536", "memory_type": "task", "when_to_use": "When handling paginated API responses to ensure all data is processed.", "content": "Always verify that pagination logic (e.g., incrementing page_index) correctly handles edge cases, such as empty pages or APIs with inconsistent page limits.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "855a3853adf842098163073be459b591", "memory_type": "task", "when_to_use": "When automating irreversible actions like deletions in a user's account.", "content": "Implement safeguards, such as dry-run testing or confirmation steps, before executing irreversible operations to prevent unintended data loss.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "02a4b53417ee405fb9f8f22d79ac19ec", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving authentication and data retrieval, ensure all required variables (e.g., access tokens) are defined before proceeding.", "content": "Always verify that critical variables like access tokens are initialized and available before executing dependent API calls. Missing or undefined variables can cause runtime errors and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e1cd5b52c88141eb84ece2120d6708de", "memory_type": "task", "when_to_use": "When iterating through paginated API responses, ensure the loop termination condition is robust and accounts for empty results.", "content": "Paginated APIs may return empty pages unexpectedly. Always check for null or empty responses to avoid infinite loops or missed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b8be504859934d5ca96ec37d8ab80666", "memory_type": "task", "when_to_use": "When updating ratings or making irreversible changes, confirm the correctness of the logic by testing on a small subset of data first.", "content": "Irreversible actions like updating ratings should be carefully validated to prevent unintended modifications. Testing on a smaller dataset helps identify logical flaws early.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7847f52267fb47aeb5665b87e020b328", "memory_type": "task", "when_to_use": "When interacting with APIs that require pagination, such as fetching playlists or large datasets.", "content": "Always implement pagination handling to ensure all data is retrieved. Missing pagination logic can lead to incomplete data processing and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c94d298d022447b7ae90dd828c5e0638", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving paginated data retrieval and filtering.", "content": "Always verify the completeness of paginated data by iterating until no new results are returned, and ensure deduplication logic is applied before further processing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8c7735e4db214750aa02486956e3ff5f", "memory_type": "task", "when_to_use": "When an API call fails due to a missing or incorrect method.", "content": "Before executing critical code, always review the API documentation to confirm method availability and required parameters.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4fd5456435e041f6b1cfb6f69d0bd90a", "memory_type": "task", "when_to_use": "When automating irreversible actions like deletions in a system.", "content": "Implement safeguards such as dry runs or confirmation prompts before executing deletion commands to prevent unintended data loss.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "19400d727919419f8c1786f9cca062b5", "memory_type": "task", "when_to_use": "When a task involves multiple domains (e.g., song library and playlists) with potential overlap in data sources.", "content": "Clarify whether actions in one domain (e.g., song library) automatically propagate to related domains (e.g., playlists). If unsure, explicitly verify and handle each domain to avoid incomplete task execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dd93ee8aa9343eca514595e1af832a6", "memory_type": "task", "when_to_use": "When the task involves parsing structured data (e.g., notes, documents) to extract specific information like durations or playlist names.", "content": "Always validate the structure and content of parsed data before proceeding with calculations or decisions. Missing or misaligned fields can lead to incorrect assumptions and downstream errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "126b09f0cf6949039b1fa928364b0b88", "memory_type": "task", "when_to_use": "When encountering authentication failures due to invalid credentials or missing tokens.", "content": "Always verify that required authentication details, such as SMS codes or access tokens, are correctly retrieved and used. Placeholder values will lead to persistent failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0ec7a8eabe44ac99fbd15b1fa076467", "memory_type": "task", "when_to_use": "When the task involves interacting with APIs to perform an action, but the required functionality is not explicitly provided by the available APIs.", "content": "Always verify that the APIs available provide all necessary functions to complete the task. If critical functionality (e.g., playback initiation) is missing, flag it early in the process and communicate limitations to the user or request clarification on how to proceed.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f6d7f215bd1e47dea3bb32898e8b66f2", "memory_type": "task", "when_to_use": "When attempting to log in to an app and the password isn't explicitly provided or stored in available resources.", "content": "Always verify if credentials for the required service are available before proceeding. If not, halt execution and request missing information rather than making assumptions or proceeding with incomplete data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c2f4d3626ed14cf38745689087977950", "memory_type": "task", "when_to_use": "When managing paginated API responses to ensure complete data retrieval.", "content": "The higher-scoring approach implemented a robust pagination strategy by iterating through pages until no further data was returned, ensuring all playlists were accounted for. In contrast, the lower-scoring approach used a fixed loop limit (page_index < 10), which risks incomplete data retrieval if the total pages exceed the limit.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b33ede58d6cc41a7949e333c74b985a2", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving paginated API data retrieval.", "content": "Always verify that all pages of paginated data are fully processed before proceeding to the next step. Missing pages can lead to incomplete data handling and task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "48b36dfc9c6a4a7f856192c94f3b4f44", "memory_type": "task", "when_to_use": "When relying on external APIs for authentication and credential management.", "content": "Ensure secure handling of credentials by using dedicated tools (e.g., supervisor app) and avoid hardcoding sensitive information like passwords or tokens in scripts.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2a4938c47c7f43dfa123e412bdd35048", "memory_type": "task", "when_to_use": "When determining the status of an entity (e.g., whether an album is fully downloaded) based on related entities (e.g., songs in the album).", "content": "Prefer using dedicated APIs (e.g., `show_downloaded_songs`) for accurate status checks over relying solely on metadata fields (e.g., `song['downloaded']`). This ensures decisions are based on authoritative data sources.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9f5ab74f1f8d4fd48c4179830afb6d5d", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed correctly.", "content": "Always implement a robust pagination mechanism that accounts for empty results or unexpected API behavior to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6fb1be6b209c41718a518caf95248d03", "memory_type": "task", "when_to_use": "When filtering items based on multiple criteria (e.g., liked or downloaded), validate the logic thoroughly.", "content": "Double-check filtering conditions, especially when combining multiple criteria, to ensure no valid items are mistakenly removed.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7b4d41ef41b347c78b0b65c4dc965199", "memory_type": "task", "when_to_use": "When writing code with multiple indented blocks, ensure consistent indentation to avoid syntax errors.", "content": "Maintain consistent indentation levels across all lines of code to prevent unexpected syntax errors during execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e04babd45b06462f8b2d988ec6cf57b3", "memory_type": "task", "when_to_use": "When cleaning up a user's library by filtering items based on multiple criteria (e.g., liked and downloaded status).", "content": "The agent successfully handled the task by first fetching all relevant data (liked songs, liked albums, downloaded songs, song library, and album library) using paginated API calls. It then used set-based lookups to efficiently filter items meeting the criteria and removed non-compliant items in a systematic manner. This approach ensures scalability and minimizes errors by breaking the task into smaller, verifiable steps.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "041c11ed67d4449c90877dc4cd9e2e5f", "memory_type": "task", "when_to_use": "When interacting with APIs for authentication or sensitive operations, ensure credentials are retrieved securely and errors are handled gracefully.", "content": "Always include fallback mechanisms for credential retrieval and error handling during login to prevent task failure due to missing or incorrect credentials.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d3a37ea214b74d09bb0f22fa9e5dfd1c", "memory_type": "task", "when_to_use": "When interacting with APIs that require specific parameter names and the initial attempt fails due to missing or incorrect parameters.", "content": "The agent identified a 422 validation error caused by using an incorrect parameter name (`path`) in API calls. By reviewing the error message and aligning the parameter name (`directory_path`) with the API's expected input, the issue was resolved. This highlights the importance of verifying API specifications and adjusting parameter names accordingly.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "587d3d1091a344ea93e46a16dfc4fae5", "memory_type": "task", "when_to_use": "When performing multi-step operations involving file creation, movement, and deletion.", "content": "Ensure intermediate outputs (e.g., ZIP files) are created in the expected locations by validating paths at each step before proceeding to the next operation.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "afbd3ea88776473a8adc55ff42c2f5a6", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure all calls include necessary tokens or credentials.", "content": "Always verify API documentation for required parameters like access tokens and include them in every call to prevent unauthorized errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "5913b1a45be646f0b0949a7e9f7e68fb", "memory_type": "task", "when_to_use": "Before deleting original files or directories after operations like compression, ensure the new files are successfully created and verified.", "content": "Implement a verification step to confirm the existence and integrity of newly created files before performing irreversible actions like deletion.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73077eb6679e4982878f4a666b48a91a", "memory_type": "task", "when_to_use": "When working with directory structures returned by APIs, especially when paths are absolute and need parsing.", "content": "Extract relevant components (e.g., vacation spot names) from absolute paths carefully using consistent methods like splitting strings. Validate the extracted names to avoid incorrect file or directory handling.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1b567e8ecf6f4a6f949261204805e6f1", "memory_type": "task", "when_to_use": "When the user repeatedly sends the same message or action, indicating a possible loop or misunderstanding.", "content": "Detect repetitive user inputs early and confirm task completion to avoid unnecessary cycles. Offer clear closure and invite further questions to ensure the interaction ends effectively.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "212673da0b4346369449fa5d0c64d2df", "memory_type": "task", "when_to_use": "When confirming the completion of a multi-step task involving APIs with potential ambiguities (e.g., playlist identification, pagination).", "content": "Always verify intermediate outputs (e.g., playlist existence, song IDs) to prevent downstream errors. Implement fallback logic for cases where expected data (e.g., 'Liked Songs') is missing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f3374778ae04484881e9741e7802d53d", "memory_type": "task", "when_to_use": "When designing loops for paginated API responses or iterating over large datasets.", "content": "Explicitly handle pagination limits and edge cases (e.g., empty pages, missing keys) to ensure all relevant data is processed without omission or duplication.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ddda3e100ba743988e9093eacaec4675", "memory_type": "task", "when_to_use": "When updating or modifying data through an API, confirm the changes were applied successfully by re-fetching or logging the updated state.", "content": "After performing write operations (e.g., updating ratings), validate the outcome to ensure the intended changes occurred. Silent failures may go unnoticed otherwise.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ab63d92d3157482c8819f09899c967d6", "memory_type": "task", "when_to_use": "When needing to process multiple sub-directories in a file system, compress them into ZIP files, and clean up the original directories.", "content": "The agent successfully identified all vacation sub-directories within a target directory, compressed each into a uniquely named ZIP file using the directory name, and deleted the original directories. This step pattern worked because it systematically verified the existence of the target directory, listed contents recursively where needed, and executed compression and deletion operations in sequence for each item.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6dc53f7be7a741f281a4f10ae789ffde", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite using available credentials.", "content": "Always verify that the provided credentials (e.g., username, password, or token) match the expected format and source. Placeholder or dummy credentials may not work in real or test environments.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "cc4fafcc78d943c68a57d584469dcf25", "memory_type": "task", "when_to_use": "When the task requires accessing specific data (e.g., recommendations, genres, or release years) that may not be directly supported by available APIs.", "content": "Always verify whether the required functionality exists in the available APIs before starting execution. Missing API capabilities can lead to task failure, and early detection helps avoid wasted effort.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "406644afd66845338321229fc3ef886c", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Spotify or similar services.", "content": "Always validate credentials (e.g., passwords, tokens) before proceeding with API calls. Ensure the correct extraction and usage of sensitive data like access tokens to avoid runtime errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "94808586334b4d9c9b016a4f58817291", "memory_type": "task", "when_to_use": "When checking for the existence of an entity (e.g., playlist, file) before creating it to avoid duplication errors.", "content": "Always perform robust matching (case-insensitive, space-agnostic) when comparing names or titles to prevent false negatives in existence checks.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4931b86aa6074bc1851a5b8c6d55b205", "memory_type": "task", "when_to_use": "When iterating through paginated API responses to collect all relevant data.", "content": "The higher-scoring approach included a well-structured pagination loop with clear termination conditions, ensuring all pages of data were processed without missing items or causing infinite loops. The lower-scoring approach lacked clarity in pagination logic, risking incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "bd2a0333a49540cab52b911c525e232e", "memory_type": "task", "when_to_use": "When interacting with APIs that require specific permissions or tokens for certain actions.", "content": "Always verify the availability and scope of required APIs before attempting operations like creating resources or modifying data. Simulate missing functionalities when direct execution isn't possible.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3abbb900b43d481e93870862a0e22817", "memory_type": "task", "when_to_use": "When interacting with APIs that may not provide critical metadata (e.g., file creation dates) needed for categorization or decision-making.", "content": "Always verify API capabilities beforehand to ensure the required data is available. If key metadata is missing, document the limitation and implement a fallback strategy that aligns with the task's intent.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "889bed1e2c704d9d9903f6a492701cc2", "memory_type": "task", "when_to_use": "When finalizing tasks with unresolved ambiguities or incomplete steps due to external constraints.", "content": "Clearly communicate limitations and assumptions in the final output to set expectations and allow for future refinement when additional data becomes available.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "acf01062e96b4e94a9fd614f5a23eadc", "memory_type": "task", "when_to_use": "When attempting to interact with an API that involves actions not directly related to standard CRUD operations (e.g., liking songs, accessing playback queues).", "content": "Before initiating task execution, always confirm the availability of APIs for all required functionalities by reviewing API documentation thoroughly. Missing functionality in the toolset should be flagged early to avoid wasting resources.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ca833759e33e4a2aa5ed36139f058dac", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens, ensure the token is properly defined and accessible in subsequent steps.", "content": "Always verify that variables like access tokens are correctly initialized and available before using them in API calls. Missing or undefined variables can lead to execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "09b78b6053704b04a79c3613b4b95669", "memory_type": "task", "when_to_use": "When handling paginated or queued data, ensure proper extraction and iteration over all items to avoid missing elements.", "content": "Failure to correctly extract or iterate through paginated or queued data can result in incomplete task execution. Validate data structures and test extraction logic incrementally.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "91b87962eea94f7e8f6066c4ace22bed", "memory_type": "task", "when_to_use": "When interacting with APIs that modify user data, such as liking songs or updating playlists.", "content": "Always verify API specifications (using `show_api_doc`) before making calls to ensure correct parameters and avoid silent failures or incorrect actions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "95b169556a204dd3aca70d8f8ff8b7be", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure credentials are correctly retrieved and passed.", "content": "Always verify the structure of API responses for credential retrieval to avoid errors in subsequent steps. For example, confirm the account name matches before extracting passwords.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "323f6d733dbf40dcb90ca6f6a796b49b", "memory_type": "task", "when_to_use": "When iterating over paginated or queued data, ensure all items are processed without prematurely ending the loop.", "content": "Double-check conditions in loops (e.g., `while` or `for`) to ensure they account for edge cases like empty queues or missing data fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "dc9b2bb4278f4470968e8afa2487488f", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, ensure the correct access tokens and permissions are validated before proceeding.", "content": "Authorization errors often arise from mismatched or expired tokens. Always confirm that the retrieved token matches the required scope and is passed correctly in headers or parameters.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e4264083575242248b4eaf54aae08190", "memory_type": "task", "when_to_use": "When a task involves reversing an action (e.g., refunding payments), prioritize identifying all necessary steps and fallback options if the primary method fails.", "content": "Failure to reverse actions due to API limitations or authorization issues highlights the importance of having alternative strategies, such as contacting the recipient or escalating to human intervention.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "acb81420fdd24b71b83259f8bcd6aea5", "memory_type": "task", "when_to_use": "When needing to interact with an API to retrieve or manipulate user-specific data (e.g., payment requests, transactions).", "content": "The agent successfully retrieved the list of sent payment requests using `show_sent_payment_requests` and identified the most recent one by evaluating the details. It then attempted to refund via `update_payment_request`, but when that failed due to the request being already completed, it switched to creating a new transaction using `create_transaction`. This highlights the importance of fallback strategies when primary methods fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9458275ae4924e268e7491568ca3af24", "memory_type": "task", "when_to_use": "When interacting with APIs that involve state changes (e.g., approve, deny, delete), ensure the current state allows for the intended action.", "content": "Before attempting an API call to modify or reverse a transaction, verify the state of the object (e.g., approved, denied, pending) and consult the API documentation to confirm whether the operation is permissible in that state.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ff28043899d84bb3b431ab98c000b9d1", "memory_type": "task", "when_to_use": "When encountering authentication errors while accessing an app's API, and the required credentials are not explicitly provided.", "content": "Always verify if all necessary credentials (e.g., username, password) for an app's API are available before attempting login. Missing credentials will lead to failed authentication, halting progress.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "084dda680704429c85773ce929998d4e", "memory_type": "task", "when_to_use": "When working with date-sensitive tasks, ensure proper parsing and comparison of date formats to avoid filtering errors.", "content": "Mismatched or improperly parsed date formats can lead to incorrect filtering of data, resulting in missed or unintended actions. Always validate date parsing and comparison logic during implementation.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a93dc38e74ee4e59822f518e07fc1757", "memory_type": "task", "when_to_use": "When deleting paginated items (e.g., messages, files) from an API.", "content": "The step pattern involved looping through all pages of results using a `page_index` until no more results were returned. Each item found was processed and deleted individually. This ensures that all relevant items are handled systematically without missing any due to pagination limits.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "98bf044caa3744cc854d9acb1d97ea0a", "memory_type": "task", "when_to_use": "When needing to authenticate with an API before performing actions.", "content": "The agent retrieved the supervisor's credentials using the `supervisor` app's `show_account_passwords` API, then authenticated with the target app (phone) by calling its `login` API. This ensured secure access to the necessary APIs for completing the task.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3179b2485071485db91408b80585a791", "memory_type": "task", "when_to_use": "When deleting multiple items (e.g., messages, files) from an API that uses pagination.", "content": "The step pattern involved searching for all relevant items across multiple pages using a while loop with a page_index. Each item was then iteratively deleted using its unique identifier. This ensured no items were missed due to pagination limits and allowed for scalable handling of large datasets.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e450ac0891454171ac624357d96f81fe", "memory_type": "task", "when_to_use": "When API authentication requires both username and password, and the credentials are stored in a secure app like 'supervisor'.", "content": "The agent successfully retrieved account credentials using the supervisor app and handled an initial login failure by identifying the missing username parameter. By explicitly specifying both username and password, the login succeeded, demonstrating robust error recovery and adherence to API requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ce2db1b746614fc8b3072d8e517815b0", "memory_type": "task", "when_to_use": "When debugging failed executions with unclear error messages.", "content": "Break down complex operations into smaller, testable chunks to isolate and identify the root cause of failures early in the process.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "232ccba6fc834c209dd29a7c2163f1a8", "memory_type": "task", "when_to_use": "When interacting with paginated APIs where the total number of results may exceed the maximum page limit per request.", "content": "The agent successfully handled pagination by looping through pages using a `while` loop, incrementing the `page_index` until no more results were returned. This ensured all items (e.g., text and voice messages) were retrieved and processed. The use of the maximum allowed `page_limit` (20 in this case) optimized the number of API calls while remaining compliant with API constraints.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a580a9e1c2d74daa9f7fca2c1a3f6e67", "memory_type": "task", "when_to_use": "When an API requires authentication via login credentials, but initial attempts fail due to incorrect parameters.", "content": "Upon encountering a 401 Unauthorized error during login, the agent reviewed the API documentation to validate the expected format for the `username` parameter. By confirming that the phone number, not the email, was required, the agent corrected the login call and successfully authenticated. This highlights the importance of consulting API specifications when errors occur.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "decd0106bc744bc7a818af4f74b2e66b", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve comprehensive datasets for filtering or processing.", "content": "The agent successfully retrieved all classical artists by iterating through paginated results using a while loop. This ensured no data was missed and allowed for subsequent filtering based on follower count. Handling pagination explicitly prevents incomplete data retrieval, which is critical for accurate downstream decisions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0fb12e28f4fa4d85bebf71a7544ac245", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve and process large datasets.", "content": "The agent successfully retrieved all reggae artists by iterating through paginated API responses. It initialized a `page_index` variable, called the API in a loop, and incremented the index until no more results were returned. This ensured complete data retrieval without missing any entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ec7b57d346c640378cfb23023946474b", "memory_type": "task", "when_to_use": "When making authenticated API calls requiring access tokens.", "content": "Explicitly include and validate the access token in every API call to prevent unauthorized access errors, even if the token was validated earlier in the process.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "33bfe383ff9f4a3d8283330338840c6d", "memory_type": "task", "when_to_use": "When completing tasks involving multiple steps or external systems.", "content": "Implement intermediate checks or logging to confirm successful execution of critical steps, such as verifying follow actions or tracking counts of processed items.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "3475476713f9406092d4ff4f9a3d46c0", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve a complete dataset across multiple pages.", "content": "The step pattern involved iterating through API pages using a while loop, incrementing the page index until no more results were returned. This ensured all available data (e.g., EDM artists) was retrieved without missing entries due to pagination limits. The use of a break condition when the result set was empty ensured efficiency and prevented unnecessary API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0570a4fb893a46dea26f7e0e9ad60d3b", "memory_type": "task", "when_to_use": "When accessing APIs that require authentication, ensure the necessary credentials are available beforehand.", "content": "Always verify that all required credentials (e.g., passwords, tokens) for an API are accessible via the available tools before attempting authentication. Missing credentials can lead to task failure.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "72494a822cc041d49cd80968141877bd", "memory_type": "task", "when_to_use": "When parsing structured data (e.g., contacts, receipts) from files to extract specific information.", "content": "Ensure the parsing logic aligns with the actual file format and includes error handling for unexpected structures or missing fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "a6baf12465d94e28bfc7347182db2a29", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite trying multiple credentials or tokens.", "content": "Verify whether the required authentication method (e.g., token, password, or OAuth) is explicitly documented and supported by the API. If the correct method is unavailable, the task may be unfeasible with the current toolset.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "45f6e515737f40258329535d7f5d26a2", "memory_type": "task", "when_to_use": "When iterating through paginated API responses to retrieve complete datasets.", "content": "The higher-scoring approach implemented a robust loop to handle paginated data, ensuring all pages were processed without missing information. This attention to detail in pagination logic (e.g., incrementing `page_index` until no more results were returned) ensured comprehensive data retrieval, which is critical for tasks like counting playlists or identifying contacts.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "6e23116fe6f34204bca0642d6c0105cc", "memory_type": "task", "when_to_use": "When encountering a 401 unauthorized error while trying to access APIs that require authentication.", "content": "Always verify the availability of an access token or login mechanism before attempting to use APIs. If no explicit login method exists, check whether credentials (e.g., passwords) from related services can act as substitutes for tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "94fbf3b21b7d457288e695d45d57889e", "memory_type": "task", "when_to_use": "When attempting to authenticate with an app and credentials are unavailable or unknown.", "content": "Always verify the availability of required credentials (e.g., passwords, access tokens) before initiating a task. If credentials are missing, use available tools (e.g., password reset APIs) to retrieve or reset them before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1f5a08d055d74387ab8d4fbc349f49ec", "memory_type": "task", "when_to_use": "When updating or modifying data through an API, confirm that the target item (e.g., note, playlist) matches the intended task description.", "content": "Ensure the exact item being modified aligns with the user’s intent. Here, the note title did not explicitly mention 'Learning to cook a signature dish from scratch,' yet it was assumed to be the correct note based on partial matching.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1d806eb7d6454a0a9a239cecf5ec0206", "memory_type": "task", "when_to_use": "When encountering repeated or empty inputs after task completion.", "content": "After marking a task as complete, confirm the outcome explicitly and invite new tasks to avoid confusion or unintended loops caused by repetitive user inputs.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b677de0263384266b3db0c2d8b17b9ab", "memory_type": "task", "when_to_use": "When an API call fails due to unauthorized access or missing credentials.", "content": "Always authenticate with the required app before making API calls that depend on authorized sessions. Check API specifications for required parameters like access tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "117eda9ae3bd4532bc7ed083e8f17560", "memory_type": "task", "when_to_use": "When interacting with APIs that enforce idempotency (e.g., liking a transaction only once)", "content": "Always implement error handling to gracefully manage duplicate actions or unprocessable requests, ensuring the script can continue without crashing.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "33ff62be259245a7aa9d894498ff6b59", "memory_type": "task", "when_to_use": "When interacting with an API that requires authentication and the credentials are not initially available.", "content": "Retrieve account credentials (e.g., username, password) from a secure source like the supervisor app, then authenticate using those credentials to obtain an access token. This ensures proper authorization for subsequent API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b54351ec579e4167bc8849080e1b4f43", "memory_type": "task", "when_to_use": "When searching for a specific item within a collection returned by an API.", "content": "Use filtering techniques (e.g., list comprehensions) to extract relevant data from API responses. For example, after retrieving a list of notes, filter by title or content to locate the target item efficiently.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "02ba2091c54a485da1073bddc3df5a22", "memory_type": "task", "when_to_use": "When updating content in a structured format retrieved via an API.", "content": "Fetch the current content, modify it programmatically (e.g., replacing specific text), and send the updated content back using the appropriate API endpoint. This ensures minimal disruption to existing data while achieving the desired change.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1519a0671b59407fad072198ed9080ac", "memory_type": "task", "when_to_use": "When encountering persistent authentication errors despite repeated attempts.", "content": "Always verify the accuracy of critical inputs like phone numbers and codes by cross-referencing with the registered account details or resending verification codes. Ensure placeholders in code are replaced with actual values before execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "16d25ae5567444cfb757403c47658dae", "memory_type": "task", "when_to_use": "When interacting with an API that requires authentication and the agent encounters a 401 error.", "content": "Upon encountering a 401 error, the agent successfully retrieved account credentials using the supervisor app's `show_account_passwords` API, logged into the target app to obtain an access token, and used the token for subsequent authenticated API calls. This ensures proper authorization and avoids unauthorized access errors.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7c373e40826e4805b4faeb2212ec8715", "memory_type": "task", "when_to_use": "When updating specific content within a structured note or document via an API.", "content": "The agent retrieved the full content of the target note using the `show_note` API, identified the specific text requiring modification, updated it programmatically, and saved the changes using the `update_note` API. This approach ensures precision in modifying only the intended portion of the content while preserving the rest of the document.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7972197924ec4322a6d25051833cff13", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, ensure valid credentials and tokens are retrieved before proceeding.", "content": "Always verify that login steps are successful and access tokens are correctly stored in variables before making subsequent API calls. Skipping or mishandling this can lead to unauthorized errors (e.g., 401).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "439a21bf0c2d43c1b0aade43062a10c3", "memory_type": "task", "when_to_use": "When managing multiple related tasks (e.g., alarms), ensure proper filtering and handling of each task item.", "content": "Before modifying or deleting items in a list (e.g., alarms), confirm the correct identification of target items using unique attributes like names or IDs. Missing this step can result in unintended actions on wrong items.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "8efe99804f474f6baf93b1519d531b37", "memory_type": "task", "when_to_use": "When parsing and manipulating time data in Python scripts.", "content": "Ensure all necessary modules (e.g., datetime) are imported before using their methods. Forgetting to import a module like datetime can lead to AttributeError during execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d499c760361b453a90f95615a6e28f4d", "memory_type": "task", "when_to_use": "When an API requires authentication and credentials are not readily available.", "content": "Always verify that all required credentials (e.g., username, password) for an app or service are accessible before attempting to use its APIs. Missing credentials block progress and cannot be bypassed autonomously.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1826aeb82e6048afb9077e76603f1f31", "memory_type": "task", "when_to_use": "When managing paginated or list-based data (e.g., alarms, playlists).", "content": "Before modifying data retrieved from APIs, ensure all relevant entries are correctly identified and filtered. Use descriptive keys (e.g., alarm name) to locate specific items in a dataset.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "304224db0bdc4b76b6742ae225ce1529", "memory_type": "task", "when_to_use": "When handling time adjustments in tasks involving date/time manipulation.", "content": "Use reliable methods to manipulate time (e.g., datetime libraries) and ensure the output format matches the API's expected input format for time fields.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b3a91996f5354043a72c6af9bc498285", "memory_type": "task", "when_to_use": "When interacting with paginated APIs to retrieve all available data (e.g., playlists, songs).", "content": "The agent successfully implemented a pagination loop to fetch all pages of data by incrementing the `page_index` until no more results were returned. This ensures complete data retrieval without arbitrary limits and avoids missing any entries.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "30db556be9504158b707193233dcf123", "memory_type": "task", "when_to_use": "When debugging syntax errors during multi-step coding sequences, especially when loops or control structures are involved.", "content": "Syntax errors (e.g., missing colons in Python loops) should be caught early by testing small chunks of code incrementally. Always validate each step's correctness before proceeding to avoid cascading failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "b1e8f09e471d4db98ce78704e65da01b", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication tokens or credentials.", "content": "Always ensure that necessary variables like passwords or access tokens are retrieved and defined before using them in subsequent steps. Missing this can lead to NameErrors and disrupt task execution.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e4a6a2a4747940e799301eaf7e7c4dab", "memory_type": "task", "when_to_use": "When processing nested API calls to extract detailed information from related entities (e.g., playlists and songs).", "content": "Verify the structure of API responses at each level to ensure all required fields (e.g., durations) are present. Assuming fields exist without confirmation can lead to missing data or incorrect calculations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7bf35224fd33435fabbd6a6ed64f1137", "memory_type": "task", "when_to_use": "When needing to retrieve paginated data from an API and process each item in the retrieved dataset.", "content": "The agent successfully employed a while loop to handle paginated data retrieval using a 'page_index' parameter. By incrementing the page index until no more data was returned, the agent ensured all available data was collected. This approach is robust for APIs that return data in chunks and require pagination handling.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "96234d28dd694914a043dc2787354812", "memory_type": "task", "when_to_use": "When final output requires conversion or rounding of numerical results before task completion.", "content": "After calculating the maximum playlist duration in seconds, the agent converted the result into minutes and rounded it to the nearest integer before completing the task. This ensured the answer matched the required format and precision, demonstrating attention to detail in fulfilling task requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ecb34d8ac79540cda30ab36303388c10", "memory_type": "task", "when_to_use": "When needing to identify and interact with a specific item (e.g., playlist, song) in an API-driven system.", "content": "The sequence of first searching for the correct item using unique identifiers (e.g., owner email or name) ensures precision when multiple similar items exist. This avoids ambiguity and ensures the right resource is selected for subsequent actions. For example, filtering playlists by owner email ('susanmiller@gmail.com') helped isolate the correct playlist owned by the user.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "50abd530131a4a9d8b3a66c164f722a1", "memory_type": "task", "when_to_use": "When encountering KeyError or missing fields during data processing.", "content": "Validate API response schemas before accessing nested fields. Handle missing fields gracefully to prevent execution failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c544a66f3aed46018a4361643868b028", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Venmo or Spotify.", "content": "Always validate and ensure that sensitive credentials like passwords or access tokens are correctly retrieved and used in subsequent steps. Missing or incorrect credentials can lead to failed API calls.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "ccf56c3987ec409099cf325b5b7e373f", "memory_type": "task", "when_to_use": "When filtering data based on specific criteria, such as transactions involving coworkers.", "content": "Ensure that all necessary data fields (e.g., participant names, tags) are available and correctly parsed before applying filters. Missing fields can result in incomplete or incorrect operations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "35b9faf9e2ea4ef79f217a644dcfd5b7", "memory_type": "task", "when_to_use": "When designing multi-step processes involving paginated API responses.", "content": "Ensure pagination logic is robust by checking for empty results and incrementally fetching all pages until no more data is returned.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73c399464408442e994b189f01ff2c86", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, such as Spotify's login API.", "content": "Always retrieve and verify credentials (e.g., username, password, or access tokens) before making authenticated API calls. Missing or incorrect credentials can lead to failed executions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "9a3fdb07658d440c8edb1fbcc2520f7f", "memory_type": "task", "when_to_use": "When filtering or analyzing datasets, such as identifying the most listened-to song.", "content": "Validate the structure and content of the dataset before applying filters or transformations. Incomplete or unexpected data formats can lead to runtime errors or incorrect results.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "37a9f21ada61460e8c5adffdcd65e79b", "memory_type": "task", "when_to_use": "When interacting with APIs that return paginated results, such as fetching payment requests or playlists.", "content": "Always validate the structure of API responses and handle pagination explicitly by iterating through pages until no more data is returned. Missing pagination logic can lead to incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "46f1e44e981543b9924c6a3b9da277fa", "memory_type": "task", "when_to_use": "When encountering unexpected API outputs like 'OzVS[j5' instead of structured data.", "content": "Verify the environment's mock setup or API configuration to ensure it returns valid, expected responses. Unexpected outputs often indicate misconfigured mocks or incorrect assumptions about API behavior.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f6412c1d7d1845dd87569718552e2b8b", "memory_type": "task", "when_to_use": "When API exploration fails to reveal expected functionality (e.g., `show_contacts` in the phone app).", "content": "Thoroughly review all available APIs for alternative methods to achieve the goal. Missing an expected API may indicate the need to pivot strategies or seek clarification on task requirements.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "85cb78b42ef740a688e366582e5b4d60", "memory_type": "task", "when_to_use": "When encountering KeyError or missing data during API interactions.", "content": "Before accessing nested dictionary keys, validate their existence using `.get()` or conditional checks to prevent runtime errors. Additionally, review API documentation to ensure correct key usage.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0d4fad88a7e499695415d15f4ab5851", "memory_type": "task", "when_to_use": "When processing paginated data from an API and performing actions on each item.", "content": "Ensure the pagination logic is robust and handles edge cases like empty responses gracefully. Additionally, validate that all items are processed before marking the task complete.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "1e39a69a51b04420a93ef86cdc3ae4dd", "memory_type": "task", "when_to_use": "When determining relationships (e.g., friendship status) using indirect indicators in API responses.", "content": "Explicitly confirm the meaning of fields like 'friends_since' in API responses to avoid incorrect assumptions about relationships or statuses.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f63bd8947220463da35131014a3b68ac", "memory_type": "task", "when_to_use": "When interacting with APIs that involve paginated data retrieval, such as fetching lists of transactions or requests.", "content": "Always ensure that the pagination logic is correctly implemented to handle all pages. Missing a proper termination condition or failing to increment the page index can lead to incomplete data retrieval.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "c42aa179adbc4f568524d5e54edf61a9", "memory_type": "task", "when_to_use": "When completing tasks that require returning an answer or summary after execution.", "content": "Verify that the final output aligns with the expected result format and includes any necessary information (e.g., count of processed items). Double-check whether apis.supervisor.complete_task() needs an argument before calling it.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "73264b8fe66d488a8afed2ae7add139f", "memory_type": "task", "when_to_use": "When automating actions on behalf of a user, such as approving payment requests or modifying account data.", "content": "Validate the scope and intent of automated actions to avoid unintended consequences. For example, ensure only relevant payment requests (e.g., from coworkers and friends) are processed, avoiding blanket approvals.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f528c7d915604ea481e2f139cc885f0f", "memory_type": "task", "when_to_use": "When searching for specific information (e.g., most played song) across multiple related entities (e.g., songs by an artist) using APIs.", "content": "The successful step pattern involved breaking the task into discrete logical phases: first, identifying the relevant API calls to gather data about the artist and their songs; second, using filtering logic to extract meaningful attributes (e.g., play count); and finally, implementing a comparison mechanism to determine the highest value. This iterative approach ensured accurate identification of the desired result (most played song).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "4bde5271c1444ff0b84a636f39e7f981", "memory_type": "task", "when_to_use": "When handling paginated API responses or datasets that require iteration to ensure complete coverage.", "content": "The agent successfully navigated paginated results by incrementally querying pages until all relevant data was retrieved. This method ensures no critical information is missed and provides a reusable framework for tasks requiring exhaustive data collection.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d0f51691fa0f484caef702260400534f", "memory_type": "task", "when_to_use": "When needing to identify and extract specific information from paginated API results based on a sorting criterion.", "content": "The agent successfully used the `search_songs` API with parameters such as `artist_id` and `sort_by` set to `-play_count` to retrieve songs sorted by least played. By iterating through paginated results, it ensured all relevant data was collected before determining the minimum play count. The approach of sorting at the API level minimized unnecessary post-processing and ensured efficiency.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "312cb9ae4c334152852e661868b94ffd", "memory_type": "task", "when_to_use": "When encountering a task that seems ambiguous or lacks sufficient information to proceed.", "content": "Explicitly state assumptions and limitations early in the process. If the task cannot be completed due to missing APIs or unclear requirements, communicate this clearly to the user and suggest hypothetical solutions or alternative approaches.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "20bc3ea2b4274552a1c056ca1fde1641", "memory_type": "task", "when_to_use": "When interacting with APIs that lack direct support for required data (e.g., play counts or artist names).", "content": "Always verify API response schemas before assuming the availability of specific data fields. If necessary data is unavailable, consider alternative proxy metrics but document assumptions explicitly.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "144efaec02344a38800186a002010785", "memory_type": "task", "when_to_use": "When parsing structured data like song titles to extract subfields (e.g., artist names).", "content": "Ensure consistent formatting of input data before relying on string manipulation techniques such as splitting. Validate the approach with sample data to avoid mismatches or incorrect filtering.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "679e6a8c03d04d378de4cf564eadab16", "memory_type": "task", "when_to_use": "When iterating over paginated API responses to collect complete datasets.", "content": "Implement robust pagination logic with clear termination conditions to ensure all pages are processed without infinite loops or missed data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "407e497e95c7456ba2bd1e2b1d3d91e2", "memory_type": "task", "when_to_use": "When breaking down complex tasks into smaller steps, especially for multi-step API interactions.", "content": "Clearly define each step's expected output and ensure intermediate results (e.g., passwords, tokens) are correctly passed between steps. Ambiguity in step transitions can lead to missed dependencies and task failures.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "cff6f392f7b54b528a21b8b3ab3008b2", "memory_type": "task", "when_to_use": "When searching for a specific playlist (e.g., 'Liked Songs') but it cannot be found.", "content": "If the target playlist is not explicitly named or accessible, expand the search to include variations of the name (e.g., case-insensitive matches like 'liked' or 'favorites') or analyze all available playlists for relevant content.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2bfb5eff55ac4718acf0a7d151bd66a2", "memory_type": "task", "when_to_use": "When a task depends on an API feature that is not supported or documented.", "content": "Acknowledge API limitations early and communicate them to the user to avoid wasting resources on unachievable goals; suggest alternative approaches if possible.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "e2395e01106b40a2868aef70cfd71c80", "memory_type": "task", "when_to_use": "When performing actions that may result in duplicate operations, such as following an artist multiple times.", "content": "Before executing an action like `follow_artist`, check the current state using a verification API (e.g., `show_artist_following`) to avoid redundant operations and potential errors (e.g., 422 Unprocessable Entity).", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "fa30d5d7e4834acf86becffbac62911b", "memory_type": "task", "when_to_use": "When interacting with APIs that return nested or paginated data, such as lists of songs, playlists, or artists.", "content": "Always verify the structure of API responses by printing or logging sample outputs before processing them further. This prevents errors caused by incorrect assumptions about field names or data formats.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "2c0dcfdb0c754ebc945491aa496ee770", "memory_type": "task", "when_to_use": "When interacting with APIs requiring authentication, especially where OAuth is expected but unavailable.", "content": "In simplified environments, passwords or other credentials may act as substitutes for access tokens. Always verify the authentication mechanism supported by the API in the specific context before proceeding.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "973d37d1e6964b5e9bcc9a260de158a6", "memory_type": "task", "when_to_use": "When designing multi-step workflows involving paginated API responses.", "content": "Always check for pagination metadata (e.g., 'next' field) to ensure all pages are processed. Avoid hardcoding limits and adapt dynamically based on API responses.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "13f02f041f2740ae81ee37afeaa01941", "memory_type": "task", "when_to_use": "When designing scripts that must complete tasks regardless of intermediate failures.", "content": "Avoid using abrupt termination functions like `exit()` in environments where task completion is mandatory. Instead, implement graceful error handling that logs issues and ensures critical steps (e.g., marking task completion) are executed even if some components fail.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "99d8eb48e3c24503ac09f72a885d1d5f", "memory_type": "task", "when_to_use": "When handling paginated API responses, ensure all pages are processed without prematurely breaking the loop.", "content": "Always verify the termination condition for loops involving paginated data to avoid missing records from incomplete iterations.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0aeeeeb8ae6e4ba6afb88636fe4ba376", "memory_type": "task", "when_to_use": "When exporting data with specific formatting requirements, validate intermediate outputs before finalizing the export.", "content": "Ensure placeholders or assumptions (e.g., artist names) align with expected formats to prevent mismatched or incomplete data in the final output.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "7153d7479c1242a98dee1c451ae46b90", "memory_type": "task", "when_to_use": "Before performing irreversible actions like account termination, confirm all prior steps have been verified and completed successfully.", "content": "Irreversible operations should only be executed after ensuring all preceding tasks meet the desired outcomes to avoid premature or accidental disruptions.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "d1fb0dc5447040e48031cf0a9e327166", "memory_type": "task", "when_to_use": "When writing files to a file system and there is a possibility of the file already existing.", "content": "Always check if an API supports an 'overwrite' or similar parameter when creating or updating files to prevent conflicts with existing files.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "0e962307fe45450eb23872cfb3f4231e", "memory_type": "task", "when_to_use": "When encountering undefined variables during task execution.", "content": "Verify that all variables used in the code are properly defined in the current context and remove references to unused or irrelevant variables.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "49d9009b4666449eb52c535b1e676199", "memory_type": "task", "when_to_use": "When interacting with APIs that require authentication, especially when multiple apps are involved.", "content": "Always verify the authentication method for each app's API independently. Some APIs may require passwords instead of access tokens, even if other APIs in the same system use tokens.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
{"workspace_id": "appworld_8b_0725", "memory_id": "f4ef4d6c648b4a398f1b04b0ff320cfc", "memory_type": "task", "when_to_use": "When paginating through API responses to collect all data, such as playlists or songs.", "content": "Ensure pagination logic is robust and accounts for edge cases like empty pages or unexpected API responses to avoid missing data.", "score": 0.0, "time_created": "2025-07-24 21:15:17", "time_modified": "2025-07-24 21:15:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-07-24 21:15:17", "modified_time": "2025-07-24 21:15:17", "extra_info": null}}
|
||||
|
|
@ -1,474 +0,0 @@
|
|||
{"workspace_id": "bfcl_v1", "memory_id": "9880a12e011b4ad6b063f11d40115034", "memory_type": "task", "when_to_use": "When the user requests detailed account information including balance and linked card details.", "content": "The assistant successfully retrieved the user's account details by calling the 'get_account_info' function. It then presented the information in a clear, concise format, highlighting the net balance and card number while offering additional assistance. This approach ensures transparency and builds trust with the user.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["account_summary", "user_trust", "clear_communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f02db8610d63454b9d1554a55d308e3e", "memory_type": "task", "when_to_use": "When the user changes their mind about a pending transaction and requests its reversal.", "content": "The assistant efficiently canceled the pending buy order by invoking the 'cancel_order' function with the provided order ID. It then confirmed the cancellation to the user, ensuring clarity and preventing confusion. This demonstrates responsiveness to user needs and reinforces confidence in the system.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["order_cancellation", "user_control", "responsive_action"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4316c28977274421933a0f2c67f51603", "memory_type": "task", "when_to_use": "When the user wants to execute a stock purchase after reviewing their watchlist and market conditions.", "content": "The assistant followed a logical sequence: retrieving stock information using 'get_stock_info', placing an order with 'place_order', and confirming the order status. This ensured the transaction was based on up-to-date market data and aligned with the user’s intent, enhancing decision-making reliability.", "score": 0.0, "time_created": "2025-08-04 07:32:40", "time_modified": "2025-08-04 07:32:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:40", "modified_time": "2025-08-04 07:32:40", "extra_info": {"tags": ["stock_purchase", "market_analysis", "transaction_confirmation"], "confidence": 0.88, "step_type": "sequence", "tools_used": ["get_stock_info", "place_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e1cd30bc63254e2e897aad1780e8a31d", "memory_type": "task", "when_to_use": "When the user needs to review their tracked investments and potentially act on them.", "content": "The agent first retrieved the user's watchlist, then provided detailed stock information, allowing for informed decision-making. After placing an order, it ensured flexibility by facilitating cancellation upon request. This step pattern ensures a smooth user experience by keeping users in control of their investment actions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["investment", "stock-tracking", "order-management"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_watchlist", "get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9c1598234d8e4ed58e2b67a237a758da", "memory_type": "task", "when_to_use": "When the user requests a summary of their account balance and associated payment details.", "content": "The agent efficiently used the get_account_info function to retrieve key details such as account balance and linked card information, presenting it in a clear format. This approach satisfies the user’s need for transparency and helps them make further financial decisions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["account-summary", "balance-check", "user-support"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc3453b510304c7eb09b9261338127ac", "memory_type": "task", "when_to_use": "When handling complex user requests involving multiple steps such as booking, purchasing, and resolving issues.", "content": "The agent successfully executed a multi-step process to book a flight, purchase insurance, retrieve an invoice, and escalate a billing concern by creating a priority ticket. Each step was handled sequentially using appropriate tools, ensuring clarity and resolution at every stage.", "score": 0.0, "time_created": "2025-08-04 07:32:45", "time_modified": "2025-08-04 07:32:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:45", "modified_time": "2025-08-04 07:32:45", "extra_info": {"tags": ["multi-step", "sequential-execution", "escalation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "book_flight", "purchase_insurance", "retrieve_invoice", "contact_customer_support", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0a7deddb5f4640ddbea7ea7018772238", "memory_type": "task", "when_to_use": "When escalating unresolved issues after initial customer support contact.", "content": "After the user reported frustration due to an unresolved issue with customer support, the agent created a priority-2 ticket titled 'Billing Concern' with detailed context. This approach ensures proper escalation and tracking of the issue.", "score": 0.0, "time_created": "2025-08-04 07:32:45", "time_modified": "2025-08-04 07:32:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:45", "modified_time": "2025-08-04 07:32:45", "extra_info": {"tags": ["escalation", "priority-ticket", "customer-support"], "confidence": 0.85, "step_type": "decision", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "736a6cd4d1154878b09885022480e218", "memory_type": "task", "when_to_use": "When encountering function parameter errors despite matching the documented API specification.", "content": "Verify whether the actual implementation of a function matches its documented parameters, especially when receiving unexpected keyword argument errors. This may indicate outdated or incorrect documentation.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_mismatch"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6ce3a6506bd44bbcadc8c8f93e43bd84", "memory_type": "task", "when_to_use": "When handling multi-step processes involving dependent functions (e.g., retrieving costs before booking).", "content": "Ensure all required data is successfully retrieved and validated before proceeding to dependent steps. Missing or incorrect data in earlier steps can cascade into failures downstream.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "dependency_management"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1a8aeddd0dd0444298dcc50aef41f143", "memory_type": "task", "when_to_use": "When dealing with authentication-dependent actions where prior steps fail due to missing or invalid credentials.", "content": "Always confirm that authentication tokens are valid and correctly passed before initiating subsequent actions. Invalid tokens can lead to cascading failures in operations like invoice retrieval or customer support interactions.", "score": 0.0, "time_created": "2025-08-04 07:32:39", "time_modified": "2025-08-04 07:32:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:39", "modified_time": "2025-08-04 07:32:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication_errors"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4e6103036b4745e195fdb10f50d07512", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific financial data about a company before making investment decisions.", "content": "The agent successfully retrieved the stock symbol and recent market activity for Zeta Corp by sequentially using 'get_symbol_by_name' and 'get_stock_info'. This ensured the user had all necessary details (price, volume, moving averages) to evaluate their investment decision.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["stock-market", "investment", "data-retrieval"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9801e0315cb84248bd461542a8a02c6f", "memory_type": "task", "when_to_use": "When confirming or canceling an order based on user reconsideration.", "content": "Upon the user's request to cancel the buy order, the agent efficiently used 'cancel_order' after verifying the order ID with 'get_order_details'. This demonstrated adaptability to changing user intent while maintaining clarity and precision in execution.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["order-management", "cancellation", "user-intent"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "953f48489f5948cfbfc9da1fbdac4deb", "memory_type": "task", "when_to_use": "When providing account updates including balance and linked payment methods.", "content": "To address the user’s query about their account alignment, the agent utilized 'get_account_info' to fetch the current balance and masked card number. Presenting this information clearly reassured the user and allowed them to verify accuracy effectively.", "score": 0.0, "time_created": "2025-08-04 07:32:46", "time_modified": "2025-08-04 07:32:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:46", "modified_time": "2025-08-04 07:32:46", "extra_info": {"tags": ["account-update", "balance-check", "privacy"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "20d14302104b461fa0cfa1653c91f27f", "memory_type": "task", "when_to_use": "When handling stock purchase requests, ensure the user has sufficient funds before initiating transactions.", "content": "Always verify account balance and linked payment methods prior to executing financial orders to prevent failed transactions or unnecessary cancellations.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["error_prevention", "financial_validation", "user_experience"], "confidence": 0.9, "step_type": "decision", "tools_used": ["get_account_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6e4e4c160fb4459eb5872cd9c85b07cb", "memory_type": "task", "when_to_use": "When a user cancels an order, proactively offer updates on their account status to address potential concerns about funds or future transactions.", "content": "Canceling an order often prompts users to reassess their financial standing; providing immediate account details enhances transparency and trust.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["user_engagement", "proactive_support", "account_management"], "confidence": 0.8, "step_type": "action", "tools_used": ["cancel_order", "get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "405b328beb484f4fae37c897283fdabf", "memory_type": "task", "when_to_use": "If multiple systems are involved (e.g., ticketing vs. travel tools), ensure that function calls align with the context of the query to avoid irrelevant tool usage.", "content": "Misalignment between queried intent and executed functions can lead to confusion; maintain strict relevance between the user’s request and the selected tools.", "score": 0.0, "time_created": "2025-08-04 07:32:50", "time_modified": "2025-08-04 07:32:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:50", "modified_time": "2025-08-04 07:32:50", "extra_info": {"tags": ["tool_relevance", "context_matching", "failure_analysis"], "confidence": 0.75, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dd2d0943ae6545d6ad215d65f2e415a6", "memory_type": "task", "when_to_use": "When the user needs to transition from general information gathering (e.g., listing all airports) to specific task execution (e.g., booking a flight).", "content": "The sequence effectively narrowed down from broad data retrieval (listing all airports) to precise actions like identifying the nearest airport, calculating costs, and executing a booking. The success came from chaining multiple tools logically: first gathering relevant details (nearest airport, cost), performing necessary conversions (currency exchange), and then finalizing with a booking action. Each step built upon the previous one, ensuring no redundant or irrelevant actions.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["task refinement", "sequential tool use", "booking flow"], "confidence": 0.9, "step_type": "action", "tools_used": ["list_all_airports", "get_nearest_airport_by_city", "get_flight_cost", "compute_exchange_rate", "set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f7869146662e47e698cb1b240cab7a77", "memory_type": "task", "when_to_use": "When handling errors during API/tool calls due to unexpected arguments or parameter mismatches.", "content": "An error occurred when attempting to book a flight with an incorrect parameter ('travel_cost'). Rather than halting the process, the agent identified the issue by examining the function signature requirements, removed the unnecessary argument, and re-executed the call successfully. This highlights the importance of quickly diagnosing API errors and adapting to the expected inputs dynamically.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["error handling", "parameter adjustment", "api call"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fcada19ff7d4410198d910f9c0264144", "memory_type": "task", "when_to_use": "When closing support tickets or resolving minor follow-up tasks after completing the main workflow.", "content": "After fulfilling the primary objective (flight booking), the agent efficiently handled a secondary task (closing a ticket) using the appropriate tool ('close_ticket'). This ensured that all loose ends were tied up, enhancing user satisfaction by addressing ancillary requests promptly. The seamless integration of this task into the overall workflow demonstrates strong task-management skills.", "score": 0.0, "time_created": "2025-08-04 07:32:56", "time_modified": "2025-08-04 07:32:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:56", "modified_time": "2025-08-04 07:32:56", "extra_info": {"tags": ["ticket resolution", "follow-up tasks", "user satisfaction"], "confidence": 0.8, "step_type": "action", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f1046c42c6854eec9afd1513f32a6bcb", "memory_type": "task", "when_to_use": "When attempting to book a flight and encountering an unexpected keyword argument error.", "content": "Ensure that the function parameters match exactly with the expected arguments. Extra or incorrect parameters can lead to execution errors even if the rest of the logic is correct.", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "999a1ce0d5d748f0bffe2118144b4a89", "memory_type": "task", "when_to_use": "When managing tickets and resolving user queries during a travel booking process.", "content": "Always confirm that the ticket being closed matches the exact issue described by the user, and ensure that no additional steps are needed after closing it (e.g., follow-up actions).", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "ticket_management", "user_communication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e0cc010a3575467b9c3059e5bdc5a487", "memory_type": "task", "when_to_use": "When setting budget limits based on expenses converted from one currency to another.", "content": "Double-check whether the provided numerical values (like fiscal thresholds) align correctly with both the original expense and the intended conversion rate before finalizing budgets.", "score": 0.0, "time_created": "2025-08-04 07:32:36", "time_modified": "2025-08-04 07:32:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:32:36", "modified_time": "2025-08-04 07:32:36", "extra_info": {"tags": ["error_prevention", "budgeting", "conversion_validation"], "confidence": 0.75, "step_type": "reasoning", "tools_used": ["set_budget_limit", "compute_exchange_rate"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3d8cec1390574885bcf940674df23e90", "memory_type": "task", "when_to_use": "When handling requests to add stocks to a watchlist or perform financial tasks, ensure the correct tools are available and relevant.", "content": "Avoid using unrelated toolsets (e.g., vehicle control APIs) for financial operations as it leads to confusion and failure. Validate tool relevance before execution.", "score": 0.0, "time_created": "2025-08-04 07:33:17", "time_modified": "2025-08-04 07:33:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:17", "modified_time": "2025-08-04 07:33:17", "extra_info": {"tags": ["error_prevention", "tool_validation", "failure_analysis"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b3b6a4b2bf2d43c7a3aed1247e6e5d10", "memory_type": "task", "when_to_use": "When resolving tickets or performing follow-up actions, confirm all required parameters (e.g., ticket ID) are explicitly provided or inferred correctly.", "content": "Implicit assumptions about required parameters can lead to errors; always cross-check previous steps for accurate data retrieval.", "score": 0.0, "time_created": "2025-08-04 07:33:17", "time_modified": "2025-08-04 07:33:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:17", "modified_time": "2025-08-04 07:33:17", "extra_info": {"tags": ["parameter_validation", "error_prevention", "ticket_management"], "confidence": 0.8, "step_type": "action", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32a658e7294d45749e29059ad9f1371e", "memory_type": "task", "when_to_use": "When handling user requests involving multiple steps, especially when tools require specific IDs or details.", "content": "Always confirm the availability of required parameters (e.g., ticket ID, order ID) before proceeding with actions. If unavailable, prompt the user clearly and early to avoid mid-process interruptions.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["resolve_ticket", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b4413cdc0e7744f282e91442e58d80c7", "memory_type": "task", "when_to_use": "When a user references prior actions or tickets assumed to exist but not explicitly mentioned in the current session.", "content": "Cross-check context and clarify assumptions by asking for missing details instead of proceeding based on incomplete information.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["error_prevention", "context_management", "user_clarification"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_account_info", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2990d144e5bf47ad81f3edcc89b31ccd", "memory_type": "task", "when_to_use": "When designing workflows that involve multi-step tool usage or dependencies between tools.", "content": "Ensure fallback mechanisms are in place to handle cases where expected inputs (like IDs or prior outputs) are missing or invalid.", "score": 0.0, "time_created": "2025-08-04 07:33:23", "time_modified": "2025-08-04 07:33:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:23", "modified_time": "2025-08-04 07:33:23", "extra_info": {"tags": ["workflow_design", "dependency_management", "error_handling"], "confidence": 0.8, "step_type": "action", "tools_used": ["all_trading_system_tools", "message_API_tools"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5fce67a622f40179a97f3735c504d6d", "memory_type": "task", "when_to_use": "When initiating a financial order, such as buying or selling shares, and ensuring the user's intent is accurately captured.", "content": "The agent successfully retrieved real-time stock information before placing the order, ensuring accuracy in decision-making. This step pattern confirms data relevance and minimizes the risk of errors by aligning with current market conditions.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["financial_order", "real_time_data", "accuracy"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b8c0fd0f4a544c7996640d06d48822f7", "memory_type": "task", "when_to_use": "When a user requests cancellation of an ongoing transaction and requires confirmation of its success.", "content": "The agent efficiently canceled the order using the `cancel_order` function and verified the status to ensure absolute closure. This step pattern ensures the user’s request is fully executed and provides transparency through clear status updates.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["order_cancellation", "transaction_confirmation", "user_trust"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b4e575df94f645dc8aec2f6d7c2ade26", "memory_type": "task", "when_to_use": "When escalating an issue or creating a support ticket for platform-related concerns post-transaction.", "content": "The agent created a detailed support ticket with a clear description of the issue, enabling effective investigation by the support team. This approach demonstrates proactive problem-solving and enhances user satisfaction by addressing frustrations promptly.", "score": 0.0, "time_created": "2025-08-04 07:33:28", "time_modified": "2025-08-04 07:33:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:28", "modified_time": "2025-08-04 07:33:28", "extra_info": {"tags": ["support_ticket", "issue_escalation", "customer_service"], "confidence": 0.8, "step_type": "action", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1cf96fd1684a4527aa4231d50899c581", "memory_type": "task", "when_to_use": "When initiating financial transactions such as stock purchases, ensure the user's intent is clear and verified before proceeding.", "content": "Always confirm critical details with the user before executing irreversible actions like placing buy/sell orders. A simple confirmation step can prevent costly mistakes.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["error_prevention", "user_confirmation", "financial_transactions"], "confidence": 0.9, "step_type": "decision", "tools_used": ["place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "587ded2306e34603a8e9afc3086eed0c", "memory_type": "task", "when_to_use": "If a user expresses dissatisfaction or mentions an error during a process, prioritize addressing their concerns immediately.", "content": "Proactively acknowledge and resolve potential issues by creating support tickets or escalating problems when necessary. Ignoring these signals may lead to further frustration.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["customer_support", "escalation", "user_satisfaction"], "confidence": 0.85, "step_type": "action", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "662bd8ef6a124be9befa291faa09417a", "memory_type": "task", "when_to_use": "When providing account overviews or sensitive information, ensure that all data shared aligns with privacy standards and does not expose unnecessary personal details.", "content": "Sensitive information (e.g., full credit card numbers) should always be masked in outputs to maintain security and trust. Only reveal what is essential for the task at hand.", "score": 0.0, "time_created": "2025-08-04 07:33:26", "time_modified": "2025-08-04 07:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:26", "modified_time": "2025-08-04 07:33:26", "extra_info": {"tags": ["data_privacy", "security", "account_management"], "confidence": 0.8, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a4d61bd456f2453c9cb6109d9b63cc1e", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific travel-related information (e.g., nearest airports, flight costs) and perform subsequent actions like setting budgets or booking flights.", "content": "The agent successfully identified the nearest airports for given cities using 'get_nearest_airport_by_city', retrieved flight cost details with 'get_flight_cost', set a budget limit via 'set_budget_limit', and completed a booking using 'book_flight'. The sequence was efficient because it followed a logical progression from information gathering to action execution while maintaining context across steps.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["travel-planning", "sequential-actions", "context-retention"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f193ea69cc77488aa12052b3a888bf92", "memory_type": "task", "when_to_use": "When handling errors during function calls due to incorrect parameters, and needing to retry with corrected inputs.", "content": "During the booking process, an error occurred because an unexpected parameter ('travel_cost') was included in the 'book_flight' call. The agent recognized the issue, omitted the invalid parameter, and successfully executed the function on the second attempt. This demonstrates adaptability and problem-solving in dynamic environments.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["error-handling", "parameter-validation", "retry-logic"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1e874eae3a2473bb3c6e2dd4d78cb55", "memory_type": "task", "when_to_use": "When providing users with summaries of their transactions or bookings for record-keeping purposes.", "content": "After completing the booking, the agent retrieved the invoice using 'retrieve_invoice' by leveraging previously stored data (e.g., booking ID). Presenting this information in a clear, structured format enhanced user satisfaction and ensured all necessary details were captured.", "score": 0.0, "time_created": "2025-08-04 07:33:33", "time_modified": "2025-08-04 07:33:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:33", "modified_time": "2025-08-04 07:33:33", "extra_info": {"tags": ["invoice-retrieval", "summary-generation", "user-satisfaction"], "confidence": 0.8, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0b342f04c7654a978e39b0ee134877f1", "memory_type": "task", "when_to_use": "When the user needs to retrieve specific information about a booking or transaction for record-keeping purposes.", "content": "After completing a booking, the agent successfully retrieved the invoice by calling 'retrieve_invoice' with the access token and booking ID. This ensured accurate delivery of financial details while maintaining security through token-based authentication.", "score": 0.0, "time_created": "2025-08-04 07:33:08", "time_modified": "2025-08-04 07:33:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:08", "modified_time": "2025-08-04 07:33:08", "extra_info": {"tags": ["invoice", "booking", "financial-summary", "secure-access"], "confidence": 0.9, "step_type": "action", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d2eb64b80c884e618f41c9215a1302d0", "memory_type": "task", "when_to_use": "When handling sequential tasks involving budgeting, booking, and confirmation in travel planning.", "content": "The agent effectively managed multiple steps: setting a budget limit, booking a flight within that limit, and then retrieving an invoice. Each step built upon the previous one using consistent parameters like access tokens and IDs, ensuring coherence and reliability across operations.", "score": 0.0, "time_created": "2025-08-04 07:33:08", "time_modified": "2025-08-04 07:33:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:08", "modified_time": "2025-08-04 07:33:08", "extra_info": {"tags": ["travel-planning", "budget-management", "sequential-tasks", "coherent-workflow"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["set_budget_limit", "book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1d958e6e80040e7b58d691cdf5303a5", "memory_type": "task", "when_to_use": "When determining flight costs based on location, date, and class for future travel.", "content": "The agent successfully identified the nearest airports for both the departure and arrival cities using 'get_nearest_airport_by_city'. It then used 'get_flight_cost' to retrieve accurate pricing for a specific travel class and date. This sequential approach ensures precise cost estimation by leveraging geographic and temporal data.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["flight booking", "cost estimation", "travel planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46f14e081bd04310989475f7aef0b4b9", "memory_type": "task", "when_to_use": "When adjusting a user's budget in response to currency conversion needs.", "content": "After computing the exchange rate between RMB and USD using 'compute_exchange_rate', the agent updated the user’s budget limit with 'set_budget_limit'. This ensured alignment with the user’s financial requirements in a different currency, demonstrating adaptability and precision in budget management.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["budget management", "currency conversion", "financial adjustment"], "confidence": 0.85, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fa2fded37deb4556a57f610db293570a", "memory_type": "task", "when_to_use": "When handling cancellations or reversals of previously executed actions like bookings.", "content": "Upon receiving a cancellation request, the agent promptly invoked 'cancel_booking' with the correct booking ID and access token. Despite encountering an issue while retrieving the invoice post-cancellation, the cancellation itself was executed flawlessly. This highlights the importance of validating follow-up actions after irreversible operations.", "score": 0.0, "time_created": "2025-08-04 07:33:35", "time_modified": "2025-08-04 07:33:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:35", "modified_time": "2025-08-04 07:33:35", "extra_info": {"tags": ["booking cancellation", "error handling", "user requests"], "confidence": 0.8, "step_type": "action", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fe05f7c66bf7462cb359fbb70458ef4f", "memory_type": "task", "when_to_use": "When encountering persistent parameter-related errors during API calls despite following documentation.", "content": "If an API consistently rejects documented parameters, verify whether the implementation deviates from the documentation or if additional hidden constraints exist. Escalate discrepancies to system maintainers.", "score": 0.0, "time_created": "2025-08-04 07:33:16", "time_modified": "2025-08-04 07:33:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:16", "modified_time": "2025-08-04 07:33:16", "extra_info": {"tags": ["error_prevention", "api_mismatch", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "925b1d7d9f6c46da888991fdf1a7222a", "memory_type": "task", "when_to_use": "When a requested operation (e.g., invoice retrieval) fails due to prior actions like cancellations.", "content": "Some operations may not support follow-up actions after state changes (e.g., canceled bookings). Always confirm downstream compatibility of requests with current states before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:33:16", "time_modified": "2025-08-04 07:33:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:16", "modified_time": "2025-08-04 07:33:16", "extra_info": {"tags": ["state_management", "failure_analysis", "booking_systems"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e44b1719e7f14c8385c7776c12a616f9", "memory_type": "task", "when_to_use": "When needing to amplify the visibility of a user-generated social media post.", "content": "The sequence involved retweeting the original tweet and adding a relevant comment ('Ready for the next adventure!') to increase engagement. By leveraging both 'retweet' and 'comment' functions, this ensured broader reach while maintaining contextual relevance through the added commentary.", "score": 0.0, "time_created": "2025-08-04 07:33:55", "time_modified": "2025-08-04 07:33:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:55", "modified_time": "2025-08-04 07:33:55", "extra_info": {"tags": ["social_media", "amplification", "engagement"], "confidence": 0.9, "step_type": "action", "tools_used": ["retweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "472881c9ac174a91be480c229696b9c6", "memory_type": "task", "when_to_use": "When handling sequential actions dependent on prior outputs (e.g., tweet IDs).", "content": "The agent correctly identified and utilized the tweet ID from an earlier response (ID: 5) to execute subsequent steps like retweeting and commenting. This demonstrates effective use of context retention and parameter passing between actions, ensuring continuity in multi-step tasks.", "score": 0.0, "time_created": "2025-08-04 07:33:55", "time_modified": "2025-08-04 07:33:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:55", "modified_time": "2025-08-04 07:33:55", "extra_info": {"tags": ["context_retention", "parameter_passing", "sequential_actions"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1f98d6572e234d9fb8b17a7d10e7fda5", "memory_type": "task", "when_to_use": "When dealing with multi-step tasks that require precise coordination of tools and actions.", "content": "Always verify the dependencies between steps to ensure all prerequisites are met before proceeding. For example, confirming tweet ID or engine door status before executing subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["error_prevention", "dependency_management", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retweet", "comment", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7c28e1b5bcf642afb94ef265431bf8d5", "memory_type": "task", "when_to_use": "When interpreting user intent for ambiguous queries involving tool outputs.", "content": "Cross-check implicit assumptions (e.g., tweet IDs, fuel levels) by referencing prior tool responses explicitly rather than relying on inferred data.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["error_prevention", "ambiguity_resolution", "tool_output_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "87ad60804f9545c1908b97f509e9f9b5", "memory_type": "task", "when_to_use": "When handling complex workflows requiring multiple API calls.", "content": "Break down each task into smaller, verifiable sub-tasks to isolate and address potential points of failure systematically.", "score": 0.0, "time_created": "2025-08-04 07:33:56", "time_modified": "2025-08-04 07:33:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:56", "modified_time": "2025-08-04 07:33:56", "extra_info": {"tags": ["workflow_optimization", "failure_isolation", "api_usage"], "confidence": 0.8, "step_type": "action", "tools_used": ["liter_to_gallon", "check_tire_pressure", "get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6147e47188574c2aaf1f18f671801012", "memory_type": "task", "when_to_use": "When booking a flight with specific travel class and payment details, and ensuring the correct airport codes are used.", "content": "The agent first identified the nearest airports for both departure and arrival cities using 'get_nearest_airport_by_city'. It then fetched the cost of the flight based on the specified class and date using 'get_flight_cost'. Finally, it successfully booked the flight using 'book_flight' after resolving parameter mismatches. This sequence ensures accurate data flow from location identification to final booking.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["flight_booking", "airport_code_identification", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c0c6ad888be04715b3badf3161d10344", "memory_type": "task", "when_to_use": "When a previously booked flight needs to be canceled promptly.", "content": "After confirming the need for cancellation, the agent called 'cancel_booking' with the correct booking ID and access token. The operation was successful, demonstrating that direct invocation of cancellation tools with verified parameters is effective in achieving immediate results.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["booking_cancellation", "parameter_verification", "immediate_action"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8dfabfe8d1d84117a12d16f466959a35", "memory_type": "task", "when_to_use": "When creating a high-priority support ticket after a significant action like flight cancellation.", "content": "Following the cancellation, the agent authenticated the user via 'ticket_login' and created a high-priority ticket using 'create_ticket', explicitly setting priority to 5. This ensured the issue was flagged appropriately for urgent attention, showcasing the importance of combining authentication and explicit priority settings in workflows involving customer support.", "score": 0.0, "time_created": "2025-08-04 07:34:01", "time_modified": "2025-08-04 07:34:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:01", "modified_time": "2025-08-04 07:34:01", "extra_info": {"tags": ["ticket_creation", "authentication", "priority_handling"], "confidence": 0.8, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "01545e804d024bf89b8970a4df8b8c66", "memory_type": "task", "when_to_use": "When handling multiple API calls that depend on authentication or session management.", "content": "Always verify whether an API call requires prior authentication and ensure the login step is completed before proceeding with dependent actions. Skipping this can lead to unauthorized errors, even if credentials are provided later.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["error_prevention", "authentication", "api_workflow"], "confidence": 0.9, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "536131aa3cd747099c437e6d454716c6", "memory_type": "task", "when_to_use": "When encountering unexpected parameter errors in API calls despite having seemingly correct inputs.", "content": "Double-check the exact parameter names and structure expected by the API function. Misaligned or incorrect parameter names (e.g., 'travel_cost' vs. 'cost') can cause execution failures even if the data values are accurate.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["parameter_validation", "api_errors", "failure_analysis"], "confidence": 0.85, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ff7652f8429448fead1f27aadb0f1728", "memory_type": "task", "when_to_use": "When user instructions contain ambiguities or conflicting details (e.g., mentioning London instead of Chicago).", "content": "Clarify discrepancies in user input early to avoid executing unintended actions. Cross-reference specific identifiers like airport codes or booking IDs to confirm alignment with the user's intent.", "score": 0.0, "time_created": "2025-08-04 07:33:49", "time_modified": "2025-08-04 07:33:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:49", "modified_time": "2025-08-04 07:33:49", "extra_info": {"tags": ["user_clarification", "error_prevention", "context_alignment"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e8e7f2d0b7a648d2bbac7cac322f1d3c", "memory_type": "task", "when_to_use": "When performing multi-step tasks involving vehicle systems, ensure all preconditions (e.g., locked doors, brake pedal pressed) are verified before attempting critical actions like starting the engine.", "content": "Failure often occurs when implicit prerequisites for an action are overlooked. Always confirm readiness conditions explicitly before proceeding with dependent steps.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f12823732eeb431cad309badce6079a4", "memory_type": "task", "when_to_use": "When handling user requests about monitoring or maintaining thresholds (e.g., tire pressure), cross-check automated 'healthy' flags against actual values to avoid missing actionable issues.", "content": "Automated health indicators can sometimes mask underlying problems if not paired with manual validation of reported data points.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_monitoring"], "confidence": 0.85, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2a4f65a4d254126a5651dc236baa8aa", "memory_type": "task", "when_to_use": "When interpreting vague or conditional user instructions (e.g., 'should I notice...'), simulate proactive checks instead of waiting for explicit triggers to identify potential issues early.", "content": "Proactive verification in ambiguous scenarios ensures timely detection and resolution of latent problems that may not yet be apparent to the user.", "score": 0.0, "time_created": "2025-08-04 07:34:07", "time_modified": "2025-08-04 07:34:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:07", "modified_time": "2025-08-04 07:34:07", "extra_info": {"tags": ["error_prevention", "failure_analysis", "proactive_checks"], "confidence": 0.8, "step_type": "decision", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "61091bd2b6414f73b753db4d6151442f", "memory_type": "task", "when_to_use": "When handling tasks that involve multiple sequential actions based on conditional checks.", "content": "Always validate the feasibility of subsequent steps after each action to avoid cascading errors. For example, ensure that a requested operation (e.g., filling fuel) doesn't exceed system constraints before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "conditional_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ee30b6e35dd24cd2b9b53251c049fad3", "memory_type": "task", "when_to_use": "When interpreting system responses that appear contradictory or ambiguous (e.g., healthy_tire_pressure marked as true despite values below user thresholds).", "content": "Cross-check system health indicators with user-defined thresholds and clarify discrepancies explicitly in the response to avoid confusion.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1af3153ca16430bbb0144db704f7585", "memory_type": "task", "when_to_use": "When setting up alerts or automated responses for future conditions (e.g., tire pressure falling below a threshold).", "content": "If tools don’t support real-time monitoring, simulate checks periodically and provide proactive instructions to mitigate risks until a proper alert system can be implemented.", "score": 0.0, "time_created": "2025-08-04 07:34:02", "time_modified": "2025-08-04 07:34:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:02", "modified_time": "2025-08-04 07:34:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "proactive_measures"], "confidence": 0.75, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2339c99b71f4843a7087f98451be643", "memory_type": "task", "when_to_use": "When creating files intended to reside inside a specific folder, ensure that the path is explicitly specified during file creation.", "content": "Files created without specifying a target directory are placed in the current working directory, which may lead to confusion if the intent was to place them inside a subdirectory. Always confirm or adjust the working directory before executing commands.", "score": 0.0, "time_created": "2025-08-04 07:33:57", "time_modified": "2025-08-04 07:33:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:57", "modified_time": "2025-08-04 07:33:57", "extra_info": {"tags": ["error_prevention", "file_management", "working_directory"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "06eac56d5a4c415088c0ec0ce7847c91", "memory_type": "task", "when_to_use": "When listing files to verify their order or contents, double-check whether hidden files or unintended directories might affect the interpretation of results.", "content": "System tools like 'ls' include all visible files and folders unless filtered. Misinterpreting these outputs can lead to incorrect assumptions about file placement or sequence. Clarify with the user or use additional filtering options when needed.", "score": 0.0, "time_created": "2025-08-04 07:33:57", "time_modified": "2025-08-04 07:33:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:33:57", "modified_time": "2025-08-04 07:33:57", "extra_info": {"tags": ["error_prevention", "file_listing", "hidden_files"], "confidence": 0.8, "step_type": "observation", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca5896f46efa4ff9993828160e8e608d", "memory_type": "task", "when_to_use": "When determining file order based on 'system order', clarify whether alphabetical or creation order is intended.", "content": "System order can be ambiguous; it typically implies alphabetical sorting, but tools may list files by creation time if not explicitly sorted. Always confirm the expected order with the user or tool behavior.", "score": 0.0, "time_created": "2025-08-04 07:34:10", "time_modified": "2025-08-04 07:34:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:10", "modified_time": "2025-08-04 07:34:10", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_order", "system_order"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ef404e333a164e5d8c70d3251685fb89", "memory_type": "task", "when_to_use": "When creating files inside a specific folder, ensure the target directory is explicitly set before executing file operations.", "content": "Files created without specifying the target directory may end up in the current working directory instead of the intended subfolder, leading to confusion and incorrect results.", "score": 0.0, "time_created": "2025-08-04 07:34:10", "time_modified": "2025-08-04 07:34:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:10", "modified_time": "2025-08-04 07:34:10", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_creation", "directory_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5ae32789e9246c68923e8cf7be075dd", "memory_type": "task", "when_to_use": "When creating a new file and writing initial content into it.", "content": "The sequence of using 'touch' to create a file followed by 'echo' to write content ensures the file is both created and populated efficiently. This two-step pattern minimizes errors by separating file creation from content insertion, allowing clear verification points.", "score": 0.0, "time_created": "2025-08-04 07:34:20", "time_modified": "2025-08-04 07:34:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:20", "modified_time": "2025-08-04 07:34:20", "extra_info": {"tags": ["file_creation", "content_insertion", "file_system_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0211dc590904657809f0e33a83da2fd", "memory_type": "task", "when_to_use": "When resolving tickets without additional description in a ticketing system.", "content": "Calling 'resolve_ticket' with an empty resolution field allows marking tickets as resolved while adhering to system requirements for the resolution parameter. This approach respects API constraints while achieving the user's intent effectively.", "score": 0.0, "time_created": "2025-08-04 07:34:20", "time_modified": "2025-08-04 07:34:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:20", "modified_time": "2025-08-04 07:34:20", "extra_info": {"tags": ["ticket_resolution", "API_constraints", "empty_parameters"], "confidence": 0.85, "step_type": "action", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b26f18a5975f42ae9eab30fcd0292b80", "memory_type": "task", "when_to_use": "When a tool consistently returns 'None' or fails to provide expected feedback despite correct usage.", "content": "If a function call repeatedly fails to execute as intended, verify if the environment or tool is malfunctioning instead of solely retrying the same action. Consider alternative tools or approaches that achieve the same outcome.", "score": 0.0, "time_created": "2025-08-04 07:34:14", "time_modified": "2025-08-04 07:34:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:14", "modified_time": "2025-08-04 07:34:14", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["echo", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5397dc41bdf64febbd490d87e8303553", "memory_type": "task", "when_to_use": "When multiple attempts at solving a problem with one method lead to repeated failures.", "content": "After two failed attempts using the same approach, reassess the strategy and explore alternative methods rather than continuing repetitive actions.", "score": 0.0, "time_created": "2025-08-04 07:34:14", "time_modified": "2025-08-04 07:34:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:14", "modified_time": "2025-08-04 07:34:14", "extra_info": {"tags": ["error_prevention", "decision_making", "strategy_adjustment"], "confidence": 0.8, "step_type": "decision", "tools_used": ["echo", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "715227dbfe774ad2b2731b7802aa3983", "memory_type": "task", "when_to_use": "When the user requests stock information and follow-up actions such as adding to a watchlist or sending related messages.", "content": "The agent successfully retrieved stock details for Zeta Corp using 'get_stock_info', added it to the watchlist via 'add_to_watchlist', and enabled communication about the stock by sending a message with 'send_message'. This sequence of gathering, organizing, and sharing insights ensured the user's needs were comprehensively addressed.", "score": 0.0, "time_created": "2025-08-04 07:34:32", "time_modified": "2025-08-04 07:34:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:32", "modified_time": "2025-08-04 07:34:32", "extra_info": {"tags": ["stock analysis", "watchlist management", "communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info", "add_to_watchlist", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4d89667fe2844c2c9670fe2b19fd5147", "memory_type": "task", "when_to_use": "When the user wants to review their sent messages for context or follow-up actions.", "content": "The agent effectively used 'view_messages_sent' to retrieve and present all recently sent messages grouped by recipient. By organizing the output clearly, the agent allowed the user to quickly grasp their communication history and decide on next steps.", "score": 0.0, "time_created": "2025-08-04 07:34:32", "time_modified": "2025-08-04 07:34:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:32", "modified_time": "2025-08-04 07:34:32", "extra_info": {"tags": ["message tracking", "user history", "sent messages"], "confidence": 0.85, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "31db8cc648ce4cafbd9acea0c97f99a9", "memory_type": "task", "when_to_use": "When handling user queries about stock performance and related messaging tasks, ensure clarity in distinguishing between different API functionalities.", "content": "Avoid conflating unrelated tools or APIs during task execution by mapping out the appropriate sequence of actions beforehand, ensuring each step logically follows from the last based on the context of the query.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_conflation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_stock_info", "send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5c7200e14204f698a9056f79ba7ffd8", "memory_type": "task", "when_to_use": "When a user requests to review their sent messages, verify that the correct tool ('view_messages_sent') is used without being sidetracked by irrelevant tools.", "content": "Always confirm alignment between the user's request and the selected tool's functionality to avoid unnecessary steps or incorrect responses.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_selection"], "confidence": 0.8, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "532c186ca3de4609b8e794cf76c6ecff", "memory_type": "task", "when_to_use": "During multi-step interactions involving both financial data retrieval and messaging functions, maintain focus on the primary intent of the user’s original query.", "content": "Stick to fulfilling the immediate request (e.g., stock info) before pivoting to secondary tasks (e.g., sending messages), unless explicitly instructed otherwise by the user.", "score": 0.0, "time_created": "2025-08-04 07:34:28", "time_modified": "2025-08-04 07:34:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:28", "modified_time": "2025-08-04 07:34:28", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_prioritization"], "confidence": 0.75, "step_type": "decision", "tools_used": ["get_stock_info", "add_to_watchlist", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e4515ae0542642c193b903e301bf0608", "memory_type": "task", "when_to_use": "When needing to calculate and verify an average value based on multiple inputs.", "content": "The agent successfully calculated the average tire pressure by summing individual values and dividing by the number of items. It then validated this result using a 'mean' function from a Math API, ensuring accuracy and alignment with user expectations.", "score": 0.0, "time_created": "2025-08-04 07:34:25", "time_modified": "2025-08-04 07:34:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:25", "modified_time": "2025-08-04 07:34:25", "extra_info": {"tags": ["average calculation", "validation", "math operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "358e15f19bfd43acbcc7f0fb6d0a4558", "memory_type": "task", "when_to_use": "When addressing multi-step requests requiring sequential checks or actions (e.g., vehicle diagnostics).", "content": "The agent followed a logical sequence: checking individual tire pressures first, calculating their average upon user request, and presenting results in a clear, concise manner. This approach ensured all sub-tasks were completed systematically without missing details.", "score": 0.0, "time_created": "2025-08-04 07:34:25", "time_modified": "2025-08-04 07:34:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:25", "modified_time": "2025-08-04 07:34:25", "extra_info": {"tags": ["sequential tasks", "vehicle health check", "multi-step reasoning"], "confidence": 0.85, "step_type": "action", "tools_used": ["check_tire_pressure", "mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "82df6634afa74b4db4fcb385bd889326", "memory_type": "task", "when_to_use": "When initiating multi-step actions that depend on specific preconditions (e.g., locking doors, pressing the brake pedal).", "content": "Always verify and fulfill all required preconditions before attempting an action to avoid repetitive failures.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "preconditions"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7aa98ad6aa78498fbe70b80512780745", "memory_type": "task", "when_to_use": "When handling complex sequences involving unit conversions or calculations.", "content": "Ensure intermediate steps like rounding are performed accurately and consistently to maintain precision throughout the sequence.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "unit_conversion"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["liter_to_gallon", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c0efee40c303472b8252490db97e7c8d", "memory_type": "task", "when_to_use": "When gathering information from multiple sources or tools to make a decision.", "content": "Aggregate and cross-check data from different functions to ensure accuracy and completeness of the final output.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_aggregation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["displayCarStatus", "check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5655eb82b0a54eb6b1e33399928db043", "memory_type": "task", "when_to_use": "When the user needs to review and potentially cancel pending orders.", "content": "The agent first retrieved the order history, then iteratively fetched details for each order. By presenting both completed and pending orders, it allowed the user to make an informed decision on whether to cancel any specific pending order. This step pattern ensures clarity and enables effective decision-making.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["order management", "order cancellation", "pending actions"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1528e3863e6408d964b453e4a9f067b", "memory_type": "task", "when_to_use": "When handling multiple related tasks with interdependencies (e.g., retrieving and processing a list of items).", "content": "After obtaining the list of order IDs via 'get_order_history', the agent processed each order sequentially by calling 'get_order_details'. This ensured all relevant information was gathered before presenting it to the user. Such systematic handling of interdependent tasks minimizes oversight and maximizes task completion reliability.", "score": 0.0, "time_created": "2025-08-04 07:34:36", "time_modified": "2025-08-04 07:34:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:36", "modified_time": "2025-08-04 07:34:36", "extra_info": {"tags": ["task sequencing", "interdependent tasks", "systematic processing"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5dab685787a746a5a1a0181aa14384eb", "memory_type": "task", "when_to_use": "When the user refers to an order that needs review but does not provide specific details like an order ID.", "content": "Always clarify missing or ambiguous information (e.g., order ID) before attempting to retrieve or act on data. Proceeding without critical identifiers can lead to incomplete or incorrect actions.", "score": 0.0, "time_created": "2025-08-04 07:34:38", "time_modified": "2025-08-04 07:34:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:38", "modified_time": "2025-08-04 07:34:38", "extra_info": {"tags": ["error_prevention", "missing_information", "clarification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3380a9bd168848898eaf63ad96509a27", "memory_type": "task", "when_to_use": "When handling sequential tasks that depend on prior user inputs or actions, such as reviewing orders or transactions.", "content": "Ensure continuity in task execution by referencing previous steps or asking for necessary context if it’s unclear. Avoid assumptions about implicit prior actions unless explicitly confirmed.", "score": 0.0, "time_created": "2025-08-04 07:34:38", "time_modified": "2025-08-04 07:34:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:38", "modified_time": "2025-08-04 07:34:38", "extra_info": {"tags": ["error_prevention", "context_management", "task_continuity"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9fde73a1fb424750ad617e5d426cfeed", "memory_type": "task", "when_to_use": "When the user wants to add a stock to their watchlist and ensure they have sufficient funds for an upcoming trade.", "content": "The agent first added the requested stock (ZETA) to the user's watchlist, then retrieved its latest details. Upon the user's decision to buy, the agent verified account balance and topped it up via 'fund_account' before confirming the availability of funds for the trade. This sequence ensured smooth execution of the intended transaction without delays or errors.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["stock trading", "account funding", "buy order preparation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_stock_info", "place_order", "fund_account"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f7223edd76a14f998e0ada854af31640", "memory_type": "task", "when_to_use": "When performing financial operations requiring multiple sequential tool calls.", "content": "Each action was seamlessly integrated with observations from previous steps, maintaining coherence in communication while progressively achieving sub-goals (e.g., adding stock → checking info → funding account). Using explicit intermediate responses kept the user informed and built trust throughout the process.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["sequential reasoning", "user feedback integration", "multi-step workflows"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "78e027c10c424dbdbd74e54ce940b92b", "memory_type": "task", "when_to_use": "When the user needs to verify or update their financial resources before executing a trade.", "content": "The agent successfully identified the need to fund the user's account and executed the 'fund_account' function with the correct amount. This ensured sufficient balance for the pending buy order, avoiding potential transaction failures.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["account funding", "trade preparation", "financial readiness"], "confidence": 0.9, "step_type": "action", "tools_used": ["fund_account"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0f3c6801d8eb40dcb12c5e1ec8f8012b", "memory_type": "task", "when_to_use": "When confirming the completion of a financial operation with the user.", "content": "After funding the account, the agent provided clear feedback on the new balance and confirmed the success of the operation. This transparency reassured the user and set the stage for subsequent actions like confirming the buy order.", "score": 0.0, "time_created": "2025-08-04 07:34:42", "time_modified": "2025-08-04 07:34:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:42", "modified_time": "2025-08-04 07:34:42", "extra_info": {"tags": ["user communication", "confirmation", "feedback"], "confidence": 0.85, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a19791b6217a416ebeb11dac2926c6b1", "memory_type": "task", "when_to_use": "When the user needs to unlock multiple doors and ensure they are all unlocked before proceeding with other actions.", "content": "The agent successfully unlocked all specified doors (driver, passenger, rear left, rear right) in one step by calling the 'lockDoors' function with the 'unlock' parameter set to true. This ensured that all doors were accessible without requiring additional steps or repeated checks.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["unlocking", "vehicle", "doors"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f3769261644a42a59a1d9680c1e6f745", "memory_type": "task", "when_to_use": "When starting the engine requires preconditions such as locking doors or pressing the brake pedal.", "content": "The agent encountered a security restriction where all doors needed to be locked before starting the engine. It efficiently addressed this by first locking all doors using the 'lockDoors' function, then ensuring the brake pedal was pressed via 'pressBrakePedal', and finally starting the engine with 'startEngine'. This systematic approach resolved dependencies and achieved the goal effectively.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["engine-start", "preconditions", "systematic-resolution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6ec261380502413884a15b3ee329da9b", "memory_type": "task", "when_to_use": "When setting up cruise control with specific speed and distance parameters.", "content": "After confirming the engine was running, the agent configured the cruise control system with precise settings: 65 mph speed and a 100-meter following distance. Using the 'setCruiseControl' function, it activated the feature in one step, meeting the user's requirements accurately and efficiently.", "score": 0.0, "time_created": "2025-08-04 07:35:01", "time_modified": "2025-08-04 07:35:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:01", "modified_time": "2025-08-04 07:35:01", "extra_info": {"tags": ["cruise-control", "vehicle-settings", "automation"], "confidence": 0.8, "step_type": "action", "tools_used": ["setCruiseControl"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cf6d8c876ab0441f960f99217c38db8a", "memory_type": "task", "when_to_use": "When interacting with vehicle systems that have interdependent safety features (e.g., locking doors before starting the engine).", "content": "Always verify preconditions for actions involving multiple steps, such as ensuring all doors are locked before attempting to start the engine.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_safety"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8f258ba94fe44d749dab6c6d4b7ef621", "memory_type": "task", "when_to_use": "When setting up automated driving features like cruise control that require specific inputs (e.g., speed, distance).", "content": "Double-check parameter units and ensure they align with user expectations (e.g., mph vs. km/h) before executing commands.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["parameter_validation", "unit_conversion", "cruise_control"], "confidence": 0.8, "step_type": "action", "tools_used": ["setCruiseControl"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed1178897a47497683d476ade0cf26ae", "memory_type": "task", "when_to_use": "When troubleshooting errors after an unsuccessful action in a multi-step process.", "content": "After encountering an error, systematically address each condition mentioned in the error message before retrying the operation.", "score": 0.0, "time_created": "2025-08-04 07:34:55", "time_modified": "2025-08-04 07:34:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:55", "modified_time": "2025-08-04 07:34:55", "extra_info": {"tags": ["error_handling", "systematic_troubleshooting", "multi_step_processes"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4250d9c981244a37a721189b0118ae8c", "memory_type": "task", "when_to_use": "When the user requests information about a specific company's stock and related trading details.", "content": "The agent first used 'get_symbol_by_name' to retrieve the stock symbol corresponding to the company name. After obtaining the symbol, it called 'get_stock_info' to fetch detailed trading data such as price, percentage change, volume, and moving averages. This sequential approach ensures accurate and relevant information is provided based on the user query.", "score": 0.0, "time_created": "2025-08-04 07:35:09", "time_modified": "2025-08-04 07:35:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:09", "modified_time": "2025-08-04 07:35:09", "extra_info": {"tags": ["stock_lookup", "sequential_tool_calls", "trading_data"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "726dfaf2562b4daa938b9005c664a42f", "memory_type": "task", "when_to_use": "When the user requests to add all stocks from a specific sector to their watchlist.", "content": "After identifying the relevant stocks using 'get_available_stocks', the agent iteratively added each stock symbol to the watchlist using 'add_to_watchlist'. This pattern of fetching a list and then performing an action on each item ensures comprehensive task completion while maintaining clarity in execution.", "score": 0.0, "time_created": "2025-08-04 07:35:09", "time_modified": "2025-08-04 07:35:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:09", "modified_time": "2025-08-04 07:35:09", "extra_info": {"tags": ["sector_analysis", "batch_processing", "watchlist_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_available_stocks", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "96ef081175af4c4eb72be2cf297ceb02", "memory_type": "task", "when_to_use": "When the user requests multiple sequential actions involving dynamic data retrieval and processing.", "content": "The agent successfully retrieved a list of stock symbols for a specific sector using 'get_available_stocks' and iteratively added each symbol to the watchlist using 'add_to_watchlist'. This demonstrates an effective pattern for handling batch operations when only single-item tools are available. The iterative approach ensured all items were processed sequentially without errors.", "score": 0.0, "time_created": "2025-08-04 07:35:05", "time_modified": "2025-08-04 07:35:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:05", "modified_time": "2025-08-04 07:35:05", "extra_info": {"tags": ["batch_processing", "iterative_action", "sector_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_available_stocks", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f40328eb54c24103b91939be6af78761", "memory_type": "task", "when_to_use": "When needing to confirm task completion with the user after performing multi-step operations.", "content": "After completing the addition of all technology sector stocks to the watchlist, the agent provided a clear summary of the operation, listing each stock and confirming the total count. This confirmation step enhances user trust and clarity, ensuring they are aware that the requested actions were fully executed.", "score": 0.0, "time_created": "2025-08-04 07:35:05", "time_modified": "2025-08-04 07:35:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:05", "modified_time": "2025-08-04 07:35:05", "extra_info": {"tags": ["task_confirmation", "user_communication", "summary"], "confidence": 0.85, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "012bf743bdf542bdb97e15f5348d1878", "memory_type": "task", "when_to_use": "When preparing a vehicle for a long drive, especially after refueling.", "content": "After confirming the fuel tank is full, sequentially check and secure all vehicle systems (doors, parking brake, engine status) before starting the engine. This ensures safety and readiness for the trip. Following this pattern minimizes potential errors, such as attempting to start the engine with unlocked doors or without engaging the parking brake.", "score": 0.0, "time_created": "2025-08-04 07:34:54", "time_modified": "2025-08-04 07:34:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:54", "modified_time": "2025-08-04 07:34:54", "extra_info": {"tags": ["vehicle-readiness", "sequential-checks", "long-drive-prep"], "confidence": 0.9, "step_type": "action", "tools_used": ["fillFuelTank", "lockDoors", "activateParkingBrake", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8d6185a3d3f8453db494ad1d7ea4e573", "memory_type": "task", "when_to_use": "When setting up GPS navigation to a specific destination before a journey.", "content": "After ensuring the vehicle is ready, use the set_navigation tool to input the final destination. Double-check that the address format matches the expected input of the tool to avoid errors. Providing clear feedback about the navigation setup reassures the user and confirms readiness for the trip.", "score": 0.0, "time_created": "2025-08-04 07:34:54", "time_modified": "2025-08-04 07:34:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:34:54", "modified_time": "2025-08-04 07:34:54", "extra_info": {"tags": ["gps-setup", "address-validation", "journey-preparation"], "confidence": 0.85, "step_type": "action", "tools_used": ["set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c8671001f39747708587fefd773ab01e", "memory_type": "task", "when_to_use": "When interacting with systems that have specific capacity limits (e.g., fuel tanks, account balances).", "content": "Always verify the current state or capacity before attempting to add or modify a resource. Failure to do so can result in errors like exceeding maximum thresholds.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "capacity_validation", "fuel_system"], "confidence": 0.9, "step_type": "action", "tools_used": ["fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7f849a60f99c4b858afc10bcb5332728", "memory_type": "task", "when_to_use": "When performing actions dependent on multiple preconditions (e.g., starting a car engine requires locked doors and engaged parking brakes).", "content": "Ensure all necessary preconditions are met before attempting an action. Skipping this validation step can lead to cascading failures or blocked operations.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "precondition_check", "vehicle_systems"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["startEngine", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97eb19b455544c9e9b3328ecfbb559ff", "memory_type": "task", "when_to_use": "When setting up navigation or similar systems requiring formatted input data.", "content": "Double-check that the input format matches the expected structure of the tool being used. Even small discrepancies in formatting can cause unexpected errors.", "score": 0.0, "time_created": "2025-08-04 07:35:12", "time_modified": "2025-08-04 07:35:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:12", "modified_time": "2025-08-04 07:35:12", "extra_info": {"tags": ["error_prevention", "input_validation", "gps_navigation"], "confidence": 0.8, "step_type": "action", "tools_used": ["set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6e44cae0e3514e249f06889d1c2c7e7a", "memory_type": "task", "when_to_use": "When handling multi-step processes involving currency conversions and budget limits.", "content": "Always confirm the required currency format for API parameters before proceeding. Misalignment between user input (e.g., RMB) and system requirements (e.g., USD) can lead to incorrect operations or failed executions.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["error_prevention", "currency_conversion", "budget_limit"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b132ded9ef72481b9b711e3b80ec2e5e", "memory_type": "task", "when_to_use": "When encountering unexpected errors during API calls, especially related to missing or invalid arguments.", "content": "Validate all function arguments against the provided API documentation before execution. For instance, passing an unexpected keyword like 'access_token' to a function that doesn't require it can cause runtime errors.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["error_prevention", "api_validation", "argument_errors"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_all_credit_cards", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cdb54c8aaad946ec8a5ac14fa948ce13", "memory_type": "task", "when_to_use": "When creating support tickets or escalating issues after multiple failed attempts to resolve a problem.", "content": "Ensure proper authentication steps are completed before initiating high-priority actions like ticket creation. Skipping or mismanaging login/authentication can delay issue resolution and create unnecessary complexity.", "score": 0.0, "time_created": "2025-08-04 07:35:07", "time_modified": "2025-08-04 07:35:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:07", "modified_time": "2025-08-04 07:35:07", "extra_info": {"tags": ["authentication", "ticket_management", "escalation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f27ca893f4654bc2b907de983cf41d5d", "memory_type": "task", "when_to_use": "When handling user credentials for multiple systems, ensure the correct system is being authenticated.", "content": "Separate authentication steps for different systems and validate which credentials belong to which system before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "authentication", "system_separation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1706418966a649db93714f7dc73d314a", "memory_type": "task", "when_to_use": "When a function call fails due to unexpected keyword arguments, verify the API documentation or available function signature immediately.", "content": "Mismatched arguments in function calls often arise from assuming incorrect parameter names; cross-check function definitions when errors occur.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_all_credit_cards", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7ff78de2aa9041f3bf46880f14586f23", "memory_type": "task", "when_to_use": "Before initiating actions that depend on prior states (e.g., creating tickets, bookings), confirm prerequisites such as login status or resource availability.", "content": "Always check preconditions like authentication or registration statuses to avoid cascading failures in dependent operations.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "dependency_management", "state_verification"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cdb1c6a7856d4eb0b9834ca3e415d56c", "memory_type": "task", "when_to_use": "When verifying vehicle conditions and planning related actions based on thresholds.", "content": "Always cross-check the threshold values provided by the user with the actual system outputs to ensure accurate interpretation before proceeding with subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "threshold_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a9458ec26485478db6ef016a8874c94f", "memory_type": "task", "when_to_use": "When integrating multiple tools or APIs for a multi-step task involving external systems (e.g., Twitter).", "content": "Ensure that all required parameters for API calls are correctly formatted and fully aligned with the tool specifications, especially when dealing with optional fields like hashtags or mentions.", "score": 0.0, "time_created": "2025-08-04 07:35:25", "time_modified": "2025-08-04 07:35:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:25", "modified_time": "2025-08-04 07:35:25", "extra_info": {"tags": ["error_prevention", "api_integration", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f8651ff360d341429497ddfd8c195027", "memory_type": "task", "when_to_use": "When handling user requests involving multiple tasks, ensure each task's requirements are fully understood before proceeding.", "content": "Misinterpreting user instructions can lead to incorrect function calls. Always verify whether optional parameters are necessary based on the explicit details provided by the user.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_instructions"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "551c7bb40c8a4dd8b9f37b5a27597db5", "memory_type": "task", "when_to_use": "When a function has overlapping parameters (e.g., content and tags), confirm whether duplicating information is required or redundant.", "content": "Ambiguity in whether to include hashtags in both content and tags led to potential redundancy. Clarify such cases by revisiting user intent or function documentation.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "parameter_handling", "redundancy"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9d818424a154e21acb4e99f76704384", "memory_type": "task", "when_to_use": "When executing multi-step workflows, cross-check intermediate outputs with the original query to ensure alignment.", "content": "Failure to validate tire pressure results against the threshold specified by the user could have been avoided by explicitly comparing values.", "score": 0.0, "time_created": "2025-08-04 07:35:27", "time_modified": "2025-08-04 07:35:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:27", "modified_time": "2025-08-04 07:35:27", "extra_info": {"tags": ["error_prevention", "validation", "workflow_alignment"], "confidence": 0.75, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9e88f7d3acb4ca6899cab4d3fd56bb2", "memory_type": "task", "when_to_use": "When attempting to navigate to a directory and encountering an error that the directory does not exist.", "content": "Before trying to change directories, verify the existence of the target directory using tools like 'find' or 'ls'. This prevents unnecessary errors and provides clarity on available paths.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["error_prevention", "directory_navigation", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "find", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c442ef65bf4342e2878ae665ec09c7ec", "memory_type": "task", "when_to_use": "When performing file operations (e.g., counting lines) in a specific directory that may not exist or is incorrectly referenced.", "content": "Always confirm the current working directory and validate the presence of required files before executing commands. Skipping this can lead to failed operations due to incorrect context.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["file_operations", "context_validation", "error_handling"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["pwd", "ls", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd163f2c9287451fa46a91835941da15", "memory_type": "task", "when_to_use": "When creating new files based on dynamic content (e.g., number of matching lines from a previous operation).", "content": "Double-check the logic for generating filenames and ensure the content to be written matches the intended format. Missteps here can result in improperly named or empty files.", "score": 0.0, "time_created": "2025-08-04 07:35:47", "time_modified": "2025-08-04 07:35:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:47", "modified_time": "2025-08-04 07:35:47", "extra_info": {"tags": ["file_creation", "dynamic_content", "validation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["echo", "grep"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8e31a3ca290b4711a08e58a41b945d24", "memory_type": "task", "when_to_use": "When navigating directories and encountering a 'No such directory' error.", "content": "Always verify the existence of the target directory before attempting to navigate into it. If unsure, use directory listing tools (e.g., `ls`) or create the directory explicitly if necessary.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "directory_navigation", "cd_command"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "ls", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3d84dc6a86184bfe8d1db20cc0adf20a", "memory_type": "task", "when_to_use": "When extracting specific sentences from a file based on user instructions.", "content": "Clarify ambiguous instructions regarding sentence extraction by confirming whether the user intends logical sentences (split by punctuation) or lines in the file. Use precise parsing logic accordingly.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "text_parsing", "grep_usage"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["grep", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b1a74220e2ff49f9bc303cab98113375", "memory_type": "task", "when_to_use": "When creating files named with dynamic content such as line counts.", "content": "Ensure that the dynamic content (e.g., line count) is correctly retrieved and validated before using it as part of a filename. Validate intermediate outputs to avoid incorrect naming.", "score": 0.0, "time_created": "2025-08-04 07:35:48", "time_modified": "2025-08-04 07:35:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:48", "modified_time": "2025-08-04 07:35:48", "extra_info": {"tags": ["error_prevention", "file_creation", "dynamic_naming"], "confidence": 0.85, "step_type": "decision", "tools_used": ["wc", "touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b58bf8ff5f37427f92d72abc2ed216bd", "memory_type": "task", "when_to_use": "When an initial attempt to book a flight fails due to incorrect airport codes, and the user's location is provided in city names.", "content": "The agent successfully identified that the initial booking failed because of incorrect airport codes. It then used 'get_nearest_airport_by_city' to resolve the correct IATA codes for departure and arrival cities. This approach ensures accurate inputs for subsequent booking attempts and avoids unnecessary errors.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["booking", "airport_code_resolution", "error_handling"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2d1e03a59d264768b5a21f761251f501", "memory_type": "task", "when_to_use": "When converting currency for financial clarity during international travel planning.", "content": "After retrieving the flight cost in USD, the agent utilized 'compute_exchange_rate' to convert the amount into EUR as per the user’s request. This step ensures transparency and helps users make informed decisions based on their preferred currency reference.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["currency_conversion", "financial_planning", "international_travel"], "confidence": 0.85, "step_type": "action", "tools_used": ["compute_exchange_rate"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1bff9a33b0848c9b37cae5f96901535", "memory_type": "task", "when_to_use": "When encountering API parameter mismatches during service calls like booking flights or purchasing insurance.", "content": "Upon receiving an error indicating unexpected parameters ('travel_cost') in the 'book_flight' function call, the agent removed the invalid parameter and retried with only required fields. This highlights the importance of validating API documentation and adjusting dynamically to ensure successful execution.", "score": 0.0, "time_created": "2025-08-04 07:35:52", "time_modified": "2025-08-04 07:35:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:52", "modified_time": "2025-08-04 07:35:52", "extra_info": {"tags": ["api_error_handling", "parameter_validation", "dynamic_adjustment"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9d362dcff2dd44b4a11c7a5c4c59f34b", "memory_type": "task", "when_to_use": "When handling API calls where specific function parameters are required but not clearly documented or validated beforehand.", "content": "Always validate the expected parameters of a function against its actual implementation to avoid unexpected keyword argument errors. Double-check tool documentation and error responses for hints on correct usage.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_calls", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1edbba26e67f4e5e999782a8f5e77d8c", "memory_type": "task", "when_to_use": "When encountering persistent failures after multiple attempts with the same function call.", "content": "If an action fails repeatedly despite minor adjustments, reassess whether all necessary preconditions have been met (e.g., authentication, correct input formats). Avoid redundant retries without addressing root causes.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "redundant_retries", "root_cause"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1474596c1be4db98325bf36c93e1458", "memory_type": "task", "when_to_use": "When consolidating multi-step processes like booking flights and purchasing insurance into a single output or document.", "content": "Ensure that each step’s outputs are complete before proceeding to consolidate information. Missing details in intermediate steps can lead to incomplete final outputs, requiring additional queries or corrections.", "score": 0.0, "time_created": "2025-08-04 07:35:53", "time_modified": "2025-08-04 07:35:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:53", "modified_time": "2025-08-04 07:35:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "process_completion", "output_validation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["retrieve_invoice", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8c52156b5efe424ab8618e1f27143f04", "memory_type": "task", "when_to_use": "When the user requests to perform a financial transaction (e.g., withdrawal) and account details are not explicitly provided.", "content": "Before executing the transaction, retrieve account information using `get_account_info` to ensure sufficient balance and obtain necessary details like account ID. Then, use `make_transaction` with the retrieved account ID, ensuring the correct transaction type and amount are applied. This approach ensures accuracy and prevents errors due to missing or incorrect account details.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["account validation", "transaction", "withdrawal"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_account_info", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46ae2e70fdf647598c6e40d93cb110f8", "memory_type": "task", "when_to_use": "When verifying the status of an order after placement to confirm execution progress.", "content": "After placing an order, call `get_order_details` using the generated order ID to check its current status. This provides transparency to the user and ensures the system's actions align with expectations, allowing for timely follow-ups if the order remains pending or encounters issues.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["order tracking", "status verification", "user feedback"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42ea655e3f3c4c9cb3bdd70c5b1f35bb", "memory_type": "task", "when_to_use": "When a user requests stock symbols from a specific sector for investment consideration.", "content": "Use `get_available_stocks` with the specified sector parameter to retrieve a list of relevant stock symbols. Presenting this information promptly allows the user to make informed decisions about potential investments while maintaining engagement with clear, actionable data.", "score": 0.0, "time_created": "2025-08-04 07:35:58", "time_modified": "2025-08-04 07:35:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:58", "modified_time": "2025-08-04 07:35:58", "extra_info": {"tags": ["stock selection", "sector analysis", "investment"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_available_stocks"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c38db3dabf634350b8b33b750f998122", "memory_type": "task", "when_to_use": "When the user requests a transaction that requires account-specific information, such as withdrawals or transfers.", "content": "Always verify and explicitly request any missing account identifiers (e.g., account ID) before proceeding with financial transactions. Assuming session data may lead to errors if the identifier isn't stored or accessible.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "failure_analysis", "account_identification"], "confidence": 0.9, "step_type": "decision", "tools_used": ["make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "94cd9deaf4074c7fac3e39fee3a6983b", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external tools or APIs, especially where authentication and session continuity are critical.", "content": "Ensure that all required parameters for subsequent actions are either explicitly provided by the user or captured during earlier steps in the interaction flow. Missing key details can disrupt workflows and necessitate re-prompting or failing the task.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["workflow_management", "session_continuity", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_order_details", "place_order", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d8d88b8492eb4779aa7b268b0b011a0f", "memory_type": "task", "when_to_use": "When handling multi-step user requests involving authentication and messaging systems.", "content": "Always verify whether the necessary credentials (e.g., passwords) are available before attempting to log in or perform actions requiring authentication. If credentials are missing, clarify with the user before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["error_prevention", "authentication", "user_clarification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b60d303785154031bd52f931423dbc6c", "memory_type": "task", "when_to_use": "When constructing messages or notifications that depend on dynamic data from prior steps.", "content": "Ensure all required dynamic information (e.g., order IDs, balances) is explicitly confirmed or retrieved before incorporating it into a message. Avoid assuming contextual details from earlier interactions without explicit validation.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["error_prevention", "dynamic_data", "message_construction"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_account_info", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "892bbe6582b141f28b59881bc5f4ffcf", "memory_type": "task", "when_to_use": "When managing complex workflows spanning multiple tools or APIs.", "content": "Break down multi-step tasks into smaller, verifiable sub-tasks, ensuring each step's success before proceeding to the next. This minimizes cascading failures caused by incomplete or incorrect prior steps.", "score": 0.0, "time_created": "2025-08-04 07:36:00", "time_modified": "2025-08-04 07:36:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:00", "modified_time": "2025-08-04 07:36:00", "extra_info": {"tags": ["workflow_management", "failure_analysis", "step_validation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_account_info", "message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "28382cb898b043929628708d6a6ad8d4", "memory_type": "task", "when_to_use": "When handling multi-system authentication (e.g., trading system and messaging API) where credentials are required but not explicitly provided by the user.", "content": "Always confirm whether sufficient login credentials or session status have been established before proceeding with dependent actions. If unclear, prompt the user for clarification or necessary inputs to avoid deadlocks.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "authentication", "multi-system"], "confidence": 0.9, "step_type": "decision", "tools_used": ["trading_get_login_status", "message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "158dcde089764242a5ffbfe54b1d980e", "memory_type": "task", "when_to_use": "When composing messages that require dynamic data insertion (e.g., account balances), ensure all variables are validated and correctly formatted before sending.", "content": "Dynamic content generation should include a validation checkpoint to ensure accuracy and prevent malformed outputs. Cross-check values retrieved from tools against expected formats.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "dynamic_content", "message_sending"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_account_info", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "819df7ebc777433c9a892e3245cd338c", "memory_type": "task", "when_to_use": "When managing tools with overlapping functionalities (e.g., trading vs. messaging APIs), clarify which system is responsible for each task to avoid confusion.", "content": "Clearly delineate tool responsibilities in the planning phase to prevent conflating systems. Use explicit checks to verify correct tool usage based on context.", "score": 0.0, "time_created": "2025-08-04 07:35:51", "time_modified": "2025-08-04 07:35:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:35:51", "modified_time": "2025-08-04 07:35:51", "extra_info": {"tags": ["error_prevention", "tool_management", "system_overlap"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["all_tools"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c99a7b76369e459d8df19af78e2ae167", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools or APIs, especially when user instructions evolve mid-execution.", "content": "Always verify that the correct tool is being used for the intended action and ensure alignment between the user's evolving requests and the available functions. Misalignment can lead to incorrect outputs or redundant steps.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["error_prevention", "tool_usage", "task_alignment"], "confidence": 0.85, "step_type": "action", "tools_used": ["grep", "diff", "authenticate_twitter", "post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ffbdda01bcc6420da172e737c29dcabb", "memory_type": "task", "when_to_use": "When a user modifies their request after initial actions have been taken (e.g., adding a comment after posting a tweet).", "content": "After completing an initial task, always confirm with the user whether additional modifications are needed before proceeding further. This avoids unnecessary backtracking or confusion.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["user_clarification", "request_modification", "workflow_optimization"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e043718056174234a45fc587d7c2a3e6", "memory_type": "task", "when_to_use": "When logging or extracting specific data patterns from files for comparative analysis.", "content": "Ensure extracted information is accurate and complete by validating intermediate results (e.g., checking grep output) before proceeding to subsequent steps like comparisons or sharing findings externally.", "score": 0.0, "time_created": "2025-08-04 07:36:15", "time_modified": "2025-08-04 07:36:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:15", "modified_time": "2025-08-04 07:36:15", "extra_info": {"tags": ["data_validation", "intermediate_results", "comparative_analysis"], "confidence": 0.75, "step_type": "observation", "tools_used": ["grep", "diff"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97f478735b32429ea67ab38eef42acc7", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools or APIs, especially when user instructions span multiple actions.", "content": "Always confirm the completion of one action before proceeding to the next, ensuring intermediate outputs align with user expectations.", "score": 0.0, "time_created": "2025-08-04 07:36:05", "time_modified": "2025-08-04 07:36:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:05", "modified_time": "2025-08-04 07:36:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["grep", "diff", "post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "391a37e0470a4156b1c4b5d244ac54a0", "memory_type": "task", "when_to_use": "When a user's request involves combining multiple functionalities (e.g., posting content and adding comments).", "content": "Clarify whether the user expects combined functionality in a single step or sequential steps, as tool limitations might require separating actions explicitly.", "score": 0.0, "time_created": "2025-08-04 07:36:05", "time_modified": "2025-08-04 07:36:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:05", "modified_time": "2025-08-04 07:36:05", "extra_info": {"tags": ["error_prevention", "user_clarity", "tool_limitations"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed536a36874d49388e3bd0f6a39df89b", "memory_type": "task", "when_to_use": "When needing to send a message between two users in a system where login is required.", "content": "The sequence involved logging in as the sender (USR001) using `message_login`, confirming successful login via `login_status`, and then sending the message to the recipient (USR002) using `send_message`. This ensured proper authentication before message delivery, which is crucial for systems requiring user-specific actions.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["user-authentication", "message-sending", "system-login"], "confidence": 0.9, "step_type": "action", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8acc54686d1a4f5eb5a2fcaeb0ba5a9e", "memory_type": "task", "when_to_use": "When verifying the success of an action dependent on prior steps (e.g., login).", "content": "After invoking `message_login` to authenticate USR001, the response's `login_status` was checked to confirm success before proceeding with `send_message`. This decision point ensures that subsequent actions only occur if prerequisites are met, reducing errors and improving reliability.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["decision-making", "error-prevention", "conditional-execution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0bc8aea9286e4873a720e709a25ceefc", "memory_type": "task", "when_to_use": "When attempting to locate and copy files within nested directories.", "content": "Always verify the exact file path before executing commands like `cp` or `mv`. Misunderstanding directory nesting can lead to repeated failures. Use tools like `find` or additional `ls` calls to confirm paths when initial attempts fail.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "file_operations", "path_verification"], "confidence": 0.9, "step_type": "action", "tools_used": ["ls", "find", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9bd02c97e3ff46158243cc73a908cd2f", "memory_type": "task", "when_to_use": "When encountering persistent errors during a multi-step process.", "content": "Break down each step explicitly, ensuring all prerequisites are met (e.g., directory existence, login status). Skipping implicit checks can compound issues later in the sequence.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "multi_step_processes", "prerequisite_checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7e3f2bfda1f8417484cfbb36fcac4fe7", "memory_type": "task", "when_to_use": "When handling user-provided instructions that involve authentication steps.", "content": "Explicitly confirm whether credentials or preconditions (like login states) need verification before proceeding with subsequent actions. Ambiguity here often leads to incorrect assumptions and failed executions.", "score": 0.0, "time_created": "2025-08-04 07:36:23", "time_modified": "2025-08-04 07:36:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:23", "modified_time": "2025-08-04 07:36:23", "extra_info": {"tags": ["error_prevention", "authentication", "user_instructions"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "92686286d3454c1cb94090c6adb21cd8", "memory_type": "task", "when_to_use": "When handling user requests involving specific identifiers (e.g., booking ID, order ID), and the user hasn't provided them.", "content": "Always verify the availability of critical identifiers early in the interaction. If missing, guide the user explicitly on how to retrieve or provide them before proceeding with actions that depend on those identifiers.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "identifier_verification", "user_guidance"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f89526fb2c9e48e3a1df8fa03ca26b30", "memory_type": "task", "when_to_use": "When an API call fails due to invalid or missing parameters, such as a 'Booking not found' error.", "content": "Cross-check all required inputs with the user before making API calls. If an error occurs, immediately prompt for clarification or alternative information instead of continuing with incomplete data.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_handling", "api_validation", "input_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4a0138951c904a0ab250824f115914d8", "memory_type": "task", "when_to_use": "When escalating issues to customer support or creating formal complaints without resolving underlying problems.", "content": "Ensure all possible internal solutions are exhausted before escalating issues. Provide clear instructions to users on gathering necessary details to resolve their issue effectively.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["escalation_prevention", "customer_support", "issue_resolution"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5b022dda18b4d2eae7a80721b48cccd", "memory_type": "task", "when_to_use": "When handling user requests for cancellations or modifications of bookings.", "content": "Always verify and request essential details like booking IDs before proceeding with actions that require them. Missing critical inputs can stall progress and frustrate users further.", "score": 0.0, "time_created": "2025-08-04 07:36:18", "time_modified": "2025-08-04 07:36:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:18", "modified_time": "2025-08-04 07:36:18", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_input_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "62f37dfe0acb4e8580ebb9fc9c9f30b1", "memory_type": "task", "when_to_use": "When escalating issues to customer support or creating formal complaints on behalf of the user.", "content": "Ensure all prior steps, including authentication and gathering necessary context (e.g., descriptions or IDs), are completed before initiating escalation processes. Skipping these can lead to failed attempts and wasted effort.", "score": 0.0, "time_created": "2025-08-04 07:36:18", "time_modified": "2025-08-04 07:36:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:18", "modified_time": "2025-08-04 07:36:18", "extra_info": {"tags": ["error_prevention", "failure_analysis", "escalation_process"], "confidence": 0.85, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "016e2a0905344476919f80c47f086152", "memory_type": "task", "when_to_use": "When determining the current market status to inform trading decisions.", "content": "The agent first used 'update_market_status' and 'get_current_time' to check if the market was open. This two-step verification ensured accuracy, combining time-based status updates with real-time confirmation, providing reliable guidance for subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["market-status", "time-verification", "trading-readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["update_market_status", "get_current_time"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fed78424949e4beaa50e5ac79ec75ffb", "memory_type": "task", "when_to_use": "When placing an order after confirming stock details and ensuring alignment with user intent.", "content": "Before placing a buy order, the agent retrieved detailed stock information using 'get_stock_info'. This ensured the user was fully informed about price, volume, and trends, leading to a confident decision to proceed with 'place_order'. The sequential validation minimized risks of misinformed trades.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["stock-validation", "order-placement", "user-alignment"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d65ead8f11324e8b88f1885a07ba9975", "memory_type": "task", "when_to_use": "When a user requests cancellation of a pending order.", "content": "Upon receiving a cancellation request, the agent promptly called 'cancel_order' with the correct order ID. This immediate action prevented further processing of the unwanted trade, showcasing the importance of responsive and accurate tool usage in dynamic environments like stock trading.", "score": 0.0, "time_created": "2025-08-04 07:36:38", "time_modified": "2025-08-04 07:36:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:38", "modified_time": "2025-08-04 07:36:38", "extra_info": {"tags": ["order-cancellation", "responsiveness", "user-control"], "confidence": 0.88, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "730cbeabae6b42a98bce2b396ec6236a", "memory_type": "task", "when_to_use": "When handling stock trades, especially in volatile conditions where users might change their minds frequently.", "content": "Always confirm the status of an order (e.g., 'Pending', 'Open') before attempting cancellation to avoid redundant actions or errors.", "score": 0.0, "time_created": "2025-08-04 07:36:26", "time_modified": "2025-08-04 07:36:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:26", "modified_time": "2025-08-04 07:36:26", "extra_info": {"tags": ["error_prevention", "failure_analysis", "order_cancellation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "87d6a46a008e4cdda556fb10b7db400a", "memory_type": "task", "when_to_use": "When interacting with financial tools that involve multiple sequential steps such as placing and canceling orders.", "content": "Maintain clear communication with the user after each step to ensure alignment with their intentions and prevent premature actions like canceling orders unnecessarily.", "score": 0.0, "time_created": "2025-08-04 07:36:26", "time_modified": "2025-08-04 07:36:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:26", "modified_time": "2025-08-04 07:36:26", "extra_info": {"tags": ["error_prevention", "user_communication", "sequential_steps"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "af7cc591abf741c9975a080fae1d4deb", "memory_type": "task", "when_to_use": "When the user requests to add a stock to their watchlist and requires confirmation with details.", "content": "The sequence started by identifying the stock symbol using 'get_symbol_by_name', then added it via 'add_to_watchlist'. Afterward, the agent retrieved the updated watchlist using 'get_watchlist' to confirm the addition. This ensured accuracy and user satisfaction by providing immediate feedback.", "score": 0.0, "time_created": "2025-08-04 07:36:43", "time_modified": "2025-08-04 07:36:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:43", "modified_time": "2025-08-04 07:36:43", "extra_info": {"tags": ["stock", "watchlist", "confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32043acbde304ebda3a4767b8119b646", "memory_type": "task", "when_to_use": "When the user needs detailed information about multiple items (e.g., stocks) in a list.", "content": "After confirming the watchlist update, the agent iteratively called 'get_stock_info' for each stock symbol (NVDA and QUAS). It structured the responses into an easily digestible format highlighting key metrics like price, percent change, volume, and moving averages. This approach provided comprehensive yet clear insights tailored to the user’s request.", "score": 0.0, "time_created": "2025-08-04 07:36:43", "time_modified": "2025-08-04 07:36:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:43", "modified_time": "2025-08-04 07:36:43", "extra_info": {"tags": ["details", "iterative", "stock-info"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "959d951d0afe4c92bf674056811ce478", "memory_type": "task", "when_to_use": "When handling user requests involving stock symbols derived from company names.", "content": "Always verify the output of functions like 'get_symbol_by_name' before proceeding with subsequent actions, ensuring the symbol is valid and matches expectations.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "symbol_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_symbol_by_name"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ea9afe8650a4320a246e5dd7fd7587b", "memory_type": "task", "when_to_use": "When presenting detailed information about multiple items (e.g., stocks) to users.", "content": "Batch process all required data retrievals first, then compile responses into a cohesive, well-structured format for clarity and completeness.", "score": 0.0, "time_created": "2025-08-04 07:36:27", "time_modified": "2025-08-04 07:36:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:27", "modified_time": "2025-08-04 07:36:27", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_presentation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f9c03cb506e54e778a2a9a7d171f04b8", "memory_type": "task", "when_to_use": "When verifying traveler information is required before proceeding with booking-related tasks.", "content": "The agent successfully used the 'verify_traveler_information' tool to validate the user's details early in the process. This ensured accuracy and compliance, setting a solid foundation for subsequent steps like flight booking or cancellations.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["travel_verification", "initial_validation", "booking_preparation"], "confidence": 0.9, "step_type": "action", "tools_used": ["verify_traveler_information"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a95f40bb5f6844f28426ac8966f679be", "memory_type": "task", "when_to_use": "When handling dynamic location inputs (e.g., city names) that need mapping to standardized airport codes.", "content": "The agent utilized the 'get_nearest_airport_by_city' tool twice—once for departure and once for arrival locations—to convert user-provided city names into valid IATA airport codes. This approach ensures compatibility with downstream tools requiring precise formatting.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["location_mapping", "airport_code_conversion", "dynamic_input_handling"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "023dfbb115784aa286214ddbd073eb98", "memory_type": "task", "when_to_use": "When canceling a confirmed booking due to changes in user plans.", "content": "Upon receiving updated instructions from the user, the agent promptly invoked the 'cancel_booking' tool using previously stored access tokens and booking IDs. The clear adherence to cancellation protocols resulted in a seamless resolution without errors.", "score": 0.0, "time_created": "2025-08-04 07:36:53", "time_modified": "2025-08-04 07:36:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:53", "modified_time": "2025-08-04 07:36:53", "extra_info": {"tags": ["booking_cancellation", "user_request_adaptation", "error-free_execution"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42f12e5fcf684647ab4ec2402d0c18b8", "memory_type": "task", "when_to_use": "When encountering persistent parameter-related errors during API calls despite matching the documented parameters.", "content": "Verify and cross-check the actual API behavior with its documentation, as discrepancies may exist due to outdated or incorrect tool descriptions. Consider testing alternative parameter names or consulting support for clarification.", "score": 0.0, "time_created": "2025-08-04 07:36:48", "time_modified": "2025-08-04 07:36:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:48", "modified_time": "2025-08-04 07:36:48", "extra_info": {"tags": ["error_prevention", "api_mismatch", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "09688835ebd24f9bba51ae79b54ab31f", "memory_type": "task", "when_to_use": "When attempting to cancel a booking but no valid booking ID exists due to prior booking failures.", "content": "Ensure that critical operations like cancellations are only attempted if prior steps (e.g., booking) were successfully completed and relevant identifiers (e.g., booking ID) were generated. Communicate clearly with the user about the status of previous steps.", "score": 0.0, "time_created": "2025-08-04 07:36:48", "time_modified": "2025-08-04 07:36:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:48", "modified_time": "2025-08-04 07:36:48", "extra_info": {"tags": ["error_prevention", "booking_failure", "user_communication"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0e6e82e075d7458cb774ef68ae4d4098", "memory_type": "task", "when_to_use": "When needing to delete a message but encountering parameter mismatches in the API call.", "content": "The agent initially attempted to delete a specific message using both receiver_id and message_id, but encountered an error due to an unexpected keyword argument. Upon retrying with only the required 'receiver_id', the deletion succeeded, removing the latest message for that user. This approach highlights the importance of verifying tool definitions against actual function behavior when discrepancies arise.", "score": 0.0, "time_created": "2025-08-04 07:36:56", "time_modified": "2025-08-04 07:36:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:56", "modified_time": "2025-08-04 07:36:56", "extra_info": {"tags": ["message deletion", "API mismatch", "parameter validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d7de25115fe043428adb7d82de6a1c83", "memory_type": "task", "when_to_use": "When executing stock purchase orders and notifying stakeholders.", "content": "After successfully placing a buy order for 150 shares of Synex Solutions (SYNX), the agent sent a confirmation message to a colleague. Although the message had to be retracted later, this step sequence demonstrated a clear flow of actions: retrieving stock data, placing an order, confirming it via messaging, and handling corrections efficiently. The structured use of tools ensured clarity and precision throughout.", "score": 0.0, "time_created": "2025-08-04 07:36:56", "time_modified": "2025-08-04 07:36:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:56", "modified_time": "2025-08-04 07:36:56", "extra_info": {"tags": ["stock trading", "order execution", "messaging"], "confidence": 0.85, "step_type": "sequence", "tools_used": ["get_stock_info", "place_order", "send_message", "delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae6f9337e07044c0858647f17a34819f", "memory_type": "task", "when_to_use": "When attempting to delete a specific message using an API function.", "content": "Always verify the exact parameter names and types expected by the API function, even if the tool definition suggests otherwise. An unexpected keyword argument error may indicate a mismatch between documented and actual function parameters.", "score": 0.0, "time_created": "2025-08-04 07:36:44", "time_modified": "2025-08-04 07:36:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:44", "modified_time": "2025-08-04 07:36:44", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d62787a6ae6e42acb5b14f6480f8b4a6", "memory_type": "task", "when_to_use": "When encountering an error related to unexpected arguments in a function call.", "content": "Double-check whether required or optional parameters have changed in the function implementation compared to its documentation. If unsure, try calling the function without optional parameters to see if it resolves the issue.", "score": 0.0, "time_created": "2025-08-04 07:36:44", "time_modified": "2025-08-04 07:36:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:36:44", "modified_time": "2025-08-04 07:36:44", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_mismatch"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8bc85fdfa586429daf8a1eb04e671513", "memory_type": "task", "when_to_use": "When drafting messages to customer support or external parties based on user instructions.", "content": "Always cross-check that all explicitly requested details (e.g., reference IDs, user IDs, and specific phrasing) are included verbatim in the final output to avoid omissions.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "communication", "customer_support"], "confidence": 0.9, "step_type": "action", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1731aa071814cc09ff17d5cb773f541", "memory_type": "task", "when_to_use": "When integrating new tools or functions into a workflow with predefined user expectations.", "content": "Ensure alignment between tool outputs and user-provided reference systems (e.g., internal vs. external IDs) to prevent mismatches or confusion.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "tool_integration", "reference_systems"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b53880394812464c9403fa451205362f", "memory_type": "task", "when_to_use": "When executing multi-step processes involving financial transactions or critical confirmations.", "content": "Explicitly confirm intermediate outputs (e.g., order IDs, prices) against user expectations before proceeding to subsequent steps like drafting confirmation notes.", "score": 0.0, "time_created": "2025-08-04 07:37:06", "time_modified": "2025-08-04 07:37:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:06", "modified_time": "2025-08-04 07:37:06", "extra_info": {"tags": ["error_prevention", "transaction_validation", "multi_step_process"], "confidence": 0.85, "step_type": "decision", "tools_used": ["place_order", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "552de4a1366b4ded945193fbf44e575a", "memory_type": "task", "when_to_use": "When needing to send a message or confirm order details with an external party such as customer service.", "content": "Ensure that the receiver_id corresponds to the correct recipient's user ID before sending messages. If the recipient's user ID is not explicitly provided, clarify it with the user rather than assuming based on available identifiers like reference IDs.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "receiver_id_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d0c36559f3d6457ca8d18e2f4adca5c1", "memory_type": "task", "when_to_use": "When handling tasks involving multiple IDs (e.g., user ID, reference ID) in function calls.", "content": "Double-check that each identifier used in API/tool calls matches its intended purpose; mismatching these can lead to incorrect actions being taken, even if the rest of the logic appears sound.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "ID_matching"], "confidence": 0.8, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e03f6854e9384bd390304db659d7a72a", "memory_type": "task", "when_to_use": "When constructing and sending important communications such as order confirmations or requests for verification.", "content": "Always validate that all required placeholders (like names, IDs, stock details) have been correctly inserted into the final communication to avoid incomplete or confusing messages.", "score": 0.0, "time_created": "2025-08-04 07:37:02", "time_modified": "2025-08-04 07:37:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:02", "modified_time": "2025-08-04 07:37:02", "extra_info": {"tags": ["error_prevention", "failure_analysis", "message_validation"], "confidence": 0.75, "step_type": "reasoning", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "984a04b0487a4aa6a9c1262ed898d84f", "memory_type": "task", "when_to_use": "When a user needs to submit a formal complaint or ticket after an issue occurs.", "content": "The agent first authenticated the user via `ticket_login` using provided credentials. After successful login, it created a ticket with `create_ticket`, including the title and detailed description of the issue. This sequence ensures proper authentication before submitting the complaint, reducing the risk of unauthorized access or failed submissions.", "score": 0.0, "time_created": "2025-08-04 07:37:08", "time_modified": "2025-08-04 07:37:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:08", "modified_time": "2025-08-04 07:37:08", "extra_info": {"tags": ["complaint-handling", "authentication", "ticket-creation"], "confidence": 0.9, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f60315fdce4f413fa91716608a84c44a", "memory_type": "task", "when_to_use": "When handling cancellations and follow-up actions such as refunds or rebooking.", "content": "After confirming the cancellation status with `cancel_booking`, the agent proactively offered assistance for next steps like refunds or alternative arrangements. This approach maintains user trust by addressing potential concerns immediately and providing clear options.", "score": 0.0, "time_created": "2025-08-04 07:37:08", "time_modified": "2025-08-04 07:37:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:08", "modified_time": "2025-08-04 07:37:08", "extra_info": {"tags": ["cancellation-handling", "proactive-support", "user-trust"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9e3a564329554101a2bf33dbc2be806a", "memory_type": "task", "when_to_use": "When handling user credentials for authentication in a multi-step process.", "content": "Always verify if the user is authenticated before proceeding with actions that require login. If not authenticated, explicitly log in using provided credentials before continuing.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "authentication", "user_credentials"], "confidence": 0.9, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36413cd579d54aa3bd7b32fda9c2946b", "memory_type": "task", "when_to_use": "When an API call fails due to unexpected arguments or parameters.", "content": "Double-check the required and optional parameters of a function before calling it. Ensure all provided arguments match the expected format and no extra parameters are included.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "46038fcfd6664def979865dfa4765623", "memory_type": "task", "when_to_use": "When submitting complaints or formal requests on behalf of users.", "content": "Break down the submission process into clear steps: authenticate, validate input, submit, and confirm submission. Communicate each step's status to the user to avoid confusion.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["error_prevention", "user_communication", "process_clarity"], "confidence": 0.8, "step_type": "decision", "tools_used": ["create_ticket", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a5e8ed3c2caa4d2d8077cc11a970a0c6", "memory_type": "task", "when_to_use": "When attempting to post a tweet and the user provides login credentials explicitly.", "content": "Always authenticate the user before performing actions that require authentication, even if the user assumes the system is already authenticated. Ensure tools requiring separate authentication steps are handled sequentially.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_prevention", "authentication", "twitter_api"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42bf07580d4a41e6838f3923fb3bdb5a", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external systems (e.g., flight bookings, social media posts).", "content": "Verify all prerequisite steps are completed successfully before proceeding to subsequent actions. For example, ensure a booking ID exists before attempting cancellation or invoice retrieval.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_prevention", "multi_step_process", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7a1729d8e9274c918299d6a362e0d753", "memory_type": "task", "when_to_use": "When dealing with travel-related queries and encountering route unavailability errors.", "content": "If no available routes are found for a specific date, always suggest alternative dates or nearby airports to provide actionable options rather than stopping at an error message.", "score": 0.0, "time_created": "2025-08-04 07:37:18", "time_modified": "2025-08-04 07:37:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:18", "modified_time": "2025-08-04 07:37:18", "extra_info": {"tags": ["error_handling", "travel_booking", "user_experience"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "999a8639ecf64a6faf1d189609dfef17", "memory_type": "task", "when_to_use": "When attempting to use a function that requires authentication, ensure that the user is authenticated beforehand.", "content": "Always verify if an authentication step is required before executing functions that depend on it. If credentials are provided but not directly used by the function, execute an explicit authentication step first.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication", "function_dependencies"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ed3e7ef6f22048298b754b63ce4f52d5", "memory_type": "task", "when_to_use": "When handling unexpected keyword arguments in function calls, validate parameter expectations against tool documentation.", "content": "Mismatched or unexpected parameters can lead to execution errors. Always cross-check the expected arguments for each function against its definition in the tools list before calling it.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation", "tool_usage"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4c9fd67106854ccca73bcc04d86a244a", "memory_type": "task", "when_to_use": "When escalating issues to customer support, confirm prior attempts and specify clear context in the message.", "content": "To expedite resolution, ensure all relevant details (e.g., booking ID, previous actions) are included when contacting customer support, and verify no prior unresolved requests exist.", "score": 0.0, "time_created": "2025-08-04 07:37:19", "time_modified": "2025-08-04 07:37:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:19", "modified_time": "2025-08-04 07:37:19", "extra_info": {"tags": ["error_prevention", "failure_analysis", "customer_support", "escalation"], "confidence": 0.75, "step_type": "decision", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "641d2260f7d646759e6ba06cb3a478d4", "memory_type": "task", "when_to_use": "When needing to cancel an order and confirm its status for the user.", "content": "After placing an order, if the user requests cancellation, first use 'get_order_details' to verify the order's current state, then call 'cancel_order' with the correct order_id. This ensures the action is error-free and aligns with user intent. Confirming the cancellation status reassures the user.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["order management", "cancellation", "user confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "322aa5ca971443cf87578fc45f940b99", "memory_type": "task", "when_to_use": "When determining whether the market is open or closed before initiating trades.", "content": "Use 'get_current_time' followed by 'update_market_status' to check the market's operational status. This sequence helps prevent invalid trade attempts during non-operational hours and sets context for subsequent trading actions.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["market status", "time-based decision", "pre-trade checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_current_time", "update_market_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7b725041fbb64ab385346bf470a75643", "memory_type": "task", "when_to_use": "When purchasing shares at the current market price.", "content": "Retrieve real-time stock information using 'get_stock_info', then place an order via 'place_order' with the latest price data. This ensures accuracy and avoids discrepancies caused by outdated pricing, improving execution reliability.", "score": 0.0, "time_created": "2025-08-04 07:37:27", "time_modified": "2025-08-04 07:37:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:27", "modified_time": "2025-08-04 07:37:27", "extra_info": {"tags": ["stock purchase", "real-time data", "trade execution"], "confidence": 0.88, "step_type": "action", "tools_used": ["get_stock_info", "place_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "df6acc658b4c47b883fe5106148dadb9", "memory_type": "task", "when_to_use": "When needing to cancel a stock order immediately after placing it due to potential errors or changes in strategy.", "content": "The sequence involved reviewing the placed order details for accuracy, then using the 'cancel_order' function with the correct 'order_id'. This ensured that the cancellation was processed promptly and accurately. The confirmation response verified successful cancellation, allowing for quick corrective actions if needed.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["stock trading", "order management", "error correction"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "027200504d024f17982ac9e07b940ad2", "memory_type": "task", "when_to_use": "When monitoring market status before making financial decisions like purchasing stocks.", "content": "The agent first checked the current time and updated the market status to confirm whether the market was open. This step ensured that subsequent actions (like buying shares) were aligned with real-time market conditions, reducing the risk of executing trades during non-optimal times.", "score": 0.0, "time_created": "2025-08-04 07:37:17", "time_modified": "2025-08-04 07:37:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:17", "modified_time": "2025-08-04 07:37:17", "extra_info": {"tags": ["market analysis", "time-sensitive operations", "pre-trade checks"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_current_time", "update_market_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "52e5afb6a65d408aa68e036a9436e4d7", "memory_type": "task", "when_to_use": "When the user requests to resolve a support ticket with specific details.", "content": "The agent successfully resolved a support ticket by first retrieving the open ticket details using `get_user_tickets`, then confirming resolution specifics with the user, and finally executing the `resolve_ticket` function with the appropriate ticket ID and resolution description. This ensured clarity in communication and precise execution of the user's request.", "score": 0.0, "time_created": "2025-08-04 07:37:47", "time_modified": "2025-08-04 07:37:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:47", "modified_time": "2025-08-04 07:37:47", "extra_info": {"tags": ["ticket resolution", "user request handling", "support system"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_user_tickets", "resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "699c5fa5f3a44186b24b05920b2f8682", "memory_type": "task", "when_to_use": "When managing stock trading operations, including order placement and status updates.", "content": "The agent efficiently handled a stock purchase request by first retrieving the stock's current information via `get_stock_info`, placing an order using `place_order`, and subsequently fetching detailed order status through `get_order_details`. This sequence provided the user with real-time updates and clear confirmation of their financial transaction.", "score": 0.0, "time_created": "2025-08-04 07:37:47", "time_modified": "2025-08-04 07:37:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:47", "modified_time": "2025-08-04 07:37:47", "extra_info": {"tags": ["stock trading", "order management", "financial tracking"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_stock_info", "place_order", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1e036f02ce7040998ecfb20f6637fb8c", "memory_type": "task", "when_to_use": "When handling requests to modify or confirm the status of specific entities (e.g., tickets, orders), ensure all necessary identifiers are provided before proceeding.", "content": "Always verify that sufficient context, such as unique IDs or sufficient details, is available before attempting operations that modify system states. If not available, guide the user explicitly on how to retrieve or provide the missing information.", "score": 0.0, "time_created": "2025-08-04 07:37:38", "time_modified": "2025-08-04 07:37:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:38", "modified_time": "2025-08-04 07:37:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "user_communication"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c3efec332140472c91e1cb3635f1341a", "memory_type": "task", "when_to_use": "When a user attempts an action contingent on prior steps (e.g., resolving a ticket), ensure those steps have been successfully completed and referenced.", "content": "Break down multi-step processes clearly and confirm completion of each prerequisite step before moving forward. This avoids situations where the system assumes context that hasn't been established.", "score": 0.0, "time_created": "2025-08-04 07:37:38", "time_modified": "2025-08-04 07:37:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:38", "modified_time": "2025-08-04 07:37:38", "extra_info": {"tags": ["error_prevention", "context_management", "process_flow"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2d3f7aa3e445477bb464f003f97e5262", "memory_type": "task", "when_to_use": "When attempting to cancel a booking and ensure a refund, verify if all associated costs (e.g., insurance) are automatically refunded or require separate cancellation.", "content": "Always confirm the scope of cancellations for ancillary services like insurance before assuming full refunds. Missing this can lead to incomplete resolution of user requests.", "score": 0.0, "time_created": "2025-08-04 07:37:48", "time_modified": "2025-08-04 07:37:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:48", "modified_time": "2025-08-04 07:37:48", "extra_info": {"tags": ["error_prevention", "failure_analysis", "refund_handling", "booking_cancellation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f59314604f264a5684dc716aa19bc0a2", "memory_type": "task", "when_to_use": "When executing multi-step processes involving financial transactions, ensure there is a function to track or confirm the final status of refunds or credits.", "content": "Lack of visibility into refund processing can leave users uncertain about the resolution. Always use tools that provide confirmation of financial adjustments.", "score": 0.0, "time_created": "2025-08-04 07:37:48", "time_modified": "2025-08-04 07:37:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:37:48", "modified_time": "2025-08-04 07:37:48", "extra_info": {"tags": ["error_prevention", "failure_analysis", "refund_tracking", "financial_confirmation"], "confidence": 0.8, "step_type": "action", "tools_used": ["get_credit_card_balance", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e750cba39dc948e4854875ad39e8bc73", "memory_type": "task", "when_to_use": "When handling multi-step processes involving external tools or APIs where intermediate errors may occur.", "content": "Always validate the success of intermediate steps before proceeding to subsequent actions. For instance, after canceling a booking, confirm its status before initiating follow-up actions like refunds or support requests.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation", "intermediate_steps"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c9bbcbee443948eb8b6023e10abab89b", "memory_type": "task", "when_to_use": "When encountering 'entity not found' errors during API calls after prior operations were marked successful.", "content": "Cross-check identifiers (e.g., booking IDs) and re-verify the state of the entity in question using an appropriate query function before escalating issues or retrying operations.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["error_prevention", "failure_analysis", "identifier_validation", "state_verification"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36a6c9f8297c4d7ea6ff8d485ba9866d", "memory_type": "task", "when_to_use": "When designing workflows that involve financial transactions or irreversible actions such as cancellations.", "content": "Implement fallback mechanisms or checkpoints to ensure users can recover from errors gracefully, especially when dealing with critical tasks like refunds or cancellations.", "score": 0.0, "time_created": "2025-08-04 07:38:01", "time_modified": "2025-08-04 07:38:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:01", "modified_time": "2025-08-04 07:38:01", "extra_info": {"tags": ["workflow_design", "error_recovery", "financial_transactions", "fallback_mechanisms"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b5c8b19ff9842acbaa2fb857dd5feb5", "memory_type": "task", "when_to_use": "When determining the nearest airport to a user's location for travel planning.", "content": "The agent successfully identified the nearest airport by using the 'get_nearest_airport_by_city' function with the user's specified location. This approach ensures accurate mapping of cities to their respective airport codes, enabling precise flight cost calculations later.", "score": 0.0, "time_created": "2025-08-04 07:38:48", "time_modified": "2025-08-04 07:38:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:48", "modified_time": "2025-08-04 07:38:48", "extra_info": {"tags": ["nearest airport", "travel planning", "location-based decision"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aa2e9243d5984bff906c1ff6f0875a32", "memory_type": "task", "when_to_use": "When calculating flight costs between two locations based on specific dates and class preferences.", "content": "After identifying the departure and arrival airport codes (CRH and PHV), the agent called 'get_flight_cost' with the correct parameters (dates and business class). This ensured the response directly addressed the user’s query about trip expenses, demonstrating effective chaining of tools for complex queries.", "score": 0.0, "time_created": "2025-08-04 07:38:48", "time_modified": "2025-08-04 07:38:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:38:48", "modified_time": "2025-08-04 07:38:48", "extra_info": {"tags": ["flight cost", "business class", "date-specific query"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "899fa817696f4528a2adbcaf54003ad3", "memory_type": "task", "when_to_use": "When handling user queries requiring specific data formats (e.g., IATA airport codes), ensure the input conforms to expected standards before proceeding.", "content": "Always validate that required parameters for API functions are available and correctly formatted before execution. Missing or incorrect data can lead to failed function calls.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["error_prevention", "data_validation", "function_parameters"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ead92d08d7914b52908ec7953dbd9e10", "memory_type": "task", "when_to_use": "When a query involves ambiguous or incomplete information (e.g., destination names without corresponding IATA codes), attempt clarification or request additional details.", "content": "Ambiguities in user input should be resolved early to avoid downstream errors. Proceeding without clarification risks misinterpretation and task failure.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["error_prevention", "user_clarification", "input_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fe1aa05e666d47ec87029a171417f183", "memory_type": "task", "when_to_use": "If tools lack functionality to map between related data types (e.g., city names to airport codes), flag this as a system limitation and adapt by seeking alternative approaches.", "content": "Identify gaps in tool capabilities during planning stages to prevent reliance on unavailable functionalities. Proactively address such limitations with workarounds or user feedback requests.", "score": 0.0, "time_created": "2025-08-04 07:39:04", "time_modified": "2025-08-04 07:39:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:04", "modified_time": "2025-08-04 07:39:04", "extra_info": {"tags": ["tool_limitations", "failure_analysis", "workaround_strategy"], "confidence": 0.8, "step_type": "action", "tools_used": ["list_all_airports", "get_nearest_airport_by_city"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6f04d4436a3e478db1c68176256e512c", "memory_type": "task", "when_to_use": "When encountering a multi-step task requiring sequential problem-solving with dependencies between steps.", "content": "The agent successfully navigated a complex sequence of actions by addressing preconditions (e.g., locking doors, pressing the brake pedal) before attempting to start the engine. This demonstrates the importance of identifying and resolving prerequisites in a logical order to achieve the desired outcome.", "score": 0.0, "time_created": "2025-08-04 07:40:03", "time_modified": "2025-08-04 07:40:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:03", "modified_time": "2025-08-04 07:40:03", "extra_info": {"tags": ["sequential tasks", "preconditions", "logical order"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "69bb5e6543744f74a01b5aea8faa91fd", "memory_type": "task", "when_to_use": "When verifying system states or confirming issue resolution before closing tickets or concluding tasks.", "content": "The agent confirmed the tire pressure issue was resolved and then closed the associated ticket, ensuring no unresolved issues remained. This highlights the value of cross-checking resolutions and updating task statuses systematically.", "score": 0.0, "time_created": "2025-08-04 07:40:03", "time_modified": "2025-08-04 07:40:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:03", "modified_time": "2025-08-04 07:40:03", "extra_info": {"tags": ["verification", "closure", "systematic updates"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4f157fbe1c6b4e6f9613c7860a93e79f", "memory_type": "task", "when_to_use": "When attempting to start a vehicle's engine, ensure all doors are locked beforehand.", "content": "Always verify door lock status before starting the engine to avoid operational errors or warnings.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "vehicle_operations", "door_locks"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "77ca0a9d17bb4920a8f455e49f67799c", "memory_type": "task", "when_to_use": "When a user reports an issue with tire pressure but the system confirms healthy levels, cross-check for other potential causes.", "content": "A discrepancy between reported issues and system diagnostics may indicate underlying problems not captured by standard checks.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["failure_analysis", "tire_pressure", "diagnostics"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "19b133c08a754d80aa81d2171569295a", "memory_type": "task", "when_to_use": "Before closing a service ticket, confirm that all related actions (e.g., diagnostics, repairs) have been documented and resolved.", "content": "Closing tickets prematurely without thorough resolution can lead to unresolved issues resurfacing later.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["ticket_management", "resolution_verification", "error_prevention"], "confidence": 0.85, "step_type": "decision", "tools_used": ["close_ticket", "get_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b88f5e7b76cc4cf9b944bed6e96c0b95", "memory_type": "task", "when_to_use": "When switching between different APIs or systems, such as from a trading system to a messaging system.", "content": "Always verify the required parameters and available functions in the new API context before proceeding. Missing or mismatched arguments can lead to execution errors.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "API_switching", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7ace751ad34a4888875aa92d07a15ab2", "memory_type": "task", "when_to_use": "When encountering unexpected keyword arguments during function calls.", "content": "Double-check the function signature for exact parameter names and ensure no extra or misnamed arguments are passed. This prevents runtime errors due to argument mismatches.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["error_prevention", "argument_validation", "function_call"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "15f511e969f94761888db7209fc460e3", "memory_type": "task", "when_to_use": "After sending a message or performing an action that requires confirmation of success.", "content": "Use verification functions like 'view_messages_sent' or similar tools to confirm the successful transmission or completion of the task. This ensures the intended action was executed without issues.", "score": 0.0, "time_created": "2025-08-04 07:40:02", "time_modified": "2025-08-04 07:40:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:02", "modified_time": "2025-08-04 07:40:02", "extra_info": {"tags": ["confirmation_check", "message_verification", "post_action_validation"], "confidence": 0.8, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9c16cca4ce5249f1b1251842ab886e82", "memory_type": "task", "when_to_use": "When preparing to book a flight, ensure all required parameters align with the function's expected inputs.", "content": "Mismatched or unexpected parameters can cause execution errors. Always cross-check parameter requirements against tool documentation before calling functions.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "parameter_validation", "function_call"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a986edb1fc0c4ae8adf99cf62d684d9b", "memory_type": "task", "when_to_use": "After sending a message or performing a critical action, verify its success by checking relevant outputs or logs.", "content": "Always confirm that an operation has completed successfully by reviewing feedback or follow-up data. This ensures no steps are missed and builds user trust.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "confirmation_check", "message_handling"], "confidence": 0.85, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cb55e73f9c9c498ca510196e501b3eba", "memory_type": "task", "when_to_use": "When encountering an error during execution, analyze whether it stems from incorrect input formatting or missing fields.", "content": "Many runtime errors occur due to improperly formatted arguments. Validate input structures (e.g., dates, IDs) early in the process to prevent downstream issues.", "score": 0.0, "time_created": "2025-08-04 07:40:07", "time_modified": "2025-08-04 07:40:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:07", "modified_time": "2025-08-04 07:40:07", "extra_info": {"tags": ["error_prevention", "input_validation", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e469e808e64e426ab5d9689464abc944", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error during a function call.", "content": "Verify the exact parameter names in the API documentation or implementation, as discrepancies between documented and actual parameter names can lead to failures. If unsure, test with minimal required parameters before including optional ones.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5f59965b79d4692858f424fb14738c4", "memory_type": "task", "when_to_use": "When attempting to resolve booking-related tasks without a valid booking ID.", "content": "Always confirm that prerequisite actions (e.g., successful booking) are completed and relevant IDs are available before proceeding with dependent tasks like cancellations or invoice retrieval.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["failure_analysis", "dependency_management", "booking_workflow"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cancel_booking", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "70e2c839b9ec487c9fc9eb55b80cb5b1", "memory_type": "task", "when_to_use": "When handling user requests involving multiple system interactions.", "content": "Break down complex workflows into smaller, verifiable steps, ensuring each step's success before proceeding to avoid cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:40:08", "time_modified": "2025-08-04 07:40:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:08", "modified_time": "2025-08-04 07:40:08", "extra_info": {"tags": ["workflow_design", "error_prevention", "step_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_flight_cost", "get_credit_card_balance", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ed1e0ad06dc497fbb4c9b1ade042668", "memory_type": "task", "when_to_use": "When attempting to delete a specific message using an API function with unclear or conflicting parameter requirements.", "content": "If the tool definition conflicts with the actual function behavior (e.g., unexpected keyword argument errors), try omitting optional parameters and rely on default behaviors, such as deleting the latest message when no explicit ID is provided.", "score": 0.0, "time_created": "2025-08-04 07:39:59", "time_modified": "2025-08-04 07:39:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:59", "modified_time": "2025-08-04 07:39:59", "extra_info": {"tags": ["error_prevention", "failure_analysis", "api_mismatch"], "confidence": 0.85, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "661c4e065174450494a6bf101840ee45", "memory_type": "task", "when_to_use": "When encountering persistent errors despite adhering to documented API specifications.", "content": "Verify whether the issue stems from incorrect parameter names, missing required fields not listed in the documentation, or implicit assumptions about the API's functionality. Cross-check with alternative approaches if available.", "score": 0.0, "time_created": "2025-08-04 07:39:59", "time_modified": "2025-08-04 07:39:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:59", "modified_time": "2025-08-04 07:39:59", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4a425c2659dc40419a28cb7013605345", "memory_type": "task", "when_to_use": "When needing to authenticate and perform an action requiring user credentials (e.g., posting on social media).", "content": "The agent first authenticated the user with the provided credentials using 'authenticate_twitter', ensuring login success before proceeding. It then posted the tweet with mentions and tags, adhering strictly to the user's instructions. This sequential approach—authenticating before acting—ensured a smooth flow without authorization errors.", "score": 0.0, "time_created": "2025-08-04 07:39:57", "time_modified": "2025-08-04 07:39:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:57", "modified_time": "2025-08-04 07:39:57", "extra_info": {"tags": ["authentication", "sequential_actions", "social_media"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e12e0f2780a04e47a2d92db2f2c5a193", "memory_type": "task", "when_to_use": "When handling file operations like copying or comparing content across directories.", "content": "The agent used a combination of 'cp' to duplicate the file into another directory and 'diff' to compare two files effectively. By breaking down the task into smaller sub-tasks (copy, then compare), it ensured clarity in both execution and output interpretation, providing actionable insights from the comparison.", "score": 0.0, "time_created": "2025-08-04 07:39:57", "time_modified": "2025-08-04 07:39:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:39:57", "modified_time": "2025-08-04 07:39:57", "extra_info": {"tags": ["file_operations", "comparison", "directory_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["cp", "diff"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4398628d6e75420cacfc878dfbb3f343", "memory_type": "task", "when_to_use": "When handling user credentials in API calls or processing sensitive information.", "content": "Always separate sensitive data such as usernames and passwords from the main content payload to prevent accidental exposure. Ensure that credentials are passed only through secure, designated authentication functions.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "security", "credentials_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "96b72773a100422894a0d00642ae0ae1", "memory_type": "task", "when_to_use": "When constructing function parameters for social media posts that include mentions and hashtags.", "content": "Clarify whether the content parameter should include mentions and hashtags explicitly or if they should be handled separately via dedicated 'mentions' and 'tags' parameters. Avoid duplicating these elements in both the content and the additional fields unless the API documentation specifies it.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "api_usage", "content_formatting"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3270b87932a4467aa1721883f8c805d6", "memory_type": "task", "when_to_use": "When interpreting user instructions regarding social media content.", "content": "Carefully parse user-provided content to ensure that extraneous or unintended details (e.g., accidentally included credentials) are excluded from the final output. Always double-check the intended message against what is being processed.", "score": 0.0, "time_created": "2025-08-04 07:40:10", "time_modified": "2025-08-04 07:40:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:10", "modified_time": "2025-08-04 07:40:10", "extra_info": {"tags": ["error_prevention", "user_communication", "content_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a6d1d6763d434adfa16d9af8af54d613", "memory_type": "task", "when_to_use": "When determining flight costs and booking a trip, use this pattern to sequentially gather information and execute bookings.", "content": "The agent first retrieved the list of airports, then calculated the flight cost between two specified locations using 'get_flight_cost'. After confirming the cost with the user, it proceeded to book the flight using 'book_flight', ensuring all required parameters were correctly passed. This step-by-step approach ensures clarity and accuracy in executing multi-part tasks.", "score": 0.0, "time_created": "2025-08-04 07:40:26", "time_modified": "2025-08-04 07:40:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:26", "modified_time": "2025-08-04 07:40:26", "extra_info": {"tags": ["flight_booking", "sequential_execution", "travel_planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["list_all_airports", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f2544712f0c84059af1deb3abe8140aa", "memory_type": "task", "when_to_use": "When purchasing supplementary services like travel insurance after a primary booking, ensure all linked identifiers are utilized effectively.", "content": "After successfully booking the flight, the agent purchased travel insurance using the 'purchase_insurance' function. It relied on previously obtained data such as the booking ID and payment details. The sequential dependency management (access token, card ID, booking ID) ensured that the insurance was correctly linked to the booking without errors.", "score": 0.0, "time_created": "2025-08-04 07:40:26", "time_modified": "2025-08-04 07:40:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:26", "modified_time": "2025-08-04 07:40:26", "extra_info": {"tags": ["insurance_purchase", "linked_services", "sequential_dependency"], "confidence": 0.85, "step_type": "action", "tools_used": ["purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "891a939b0b154a71bab0920dd33b0084", "memory_type": "task", "when_to_use": "When a multi-step task requires prerequisite actions to be completed before proceeding (e.g., booking a flight before purchasing insurance).", "content": "Always ensure that all necessary preceding steps are completed and their outputs are available before moving on to dependent tasks. Skipping such steps can lead to missing critical data like booking IDs, which are essential for subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:40:32", "time_modified": "2025-08-04 07:40:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:32", "modified_time": "2025-08-04 07:40:32", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_dependencies"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c984538f521840d7b6ebcd6355003e53", "memory_type": "task", "when_to_use": "When handling user queries involving sequential API calls where certain parameters depend on the output of earlier calls.", "content": "Break down complex user requests into explicit subtasks and verify each step's completion before proceeding. For example, confirm flight cost retrieval and booking completion before attempting ancillary services like insurance purchase.", "score": 0.0, "time_created": "2025-08-04 07:40:32", "time_modified": "2025-08-04 07:40:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:32", "modified_time": "2025-08-04 07:40:32", "extra_info": {"tags": ["error_prevention", "sequential_tasks", "api_call_sequence"], "confidence": 0.85, "step_type": "decision", "tools_used": ["list_all_airports", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a824b51f32084d86a894733ff441bf3c", "memory_type": "task", "when_to_use": "When handling sensitive data such as secret files, ensure that the agent has proper access permissions and user consent.", "content": "Sensitive operations like accessing secret files should always be preceded by explicit user authorization to prevent unauthorized actions.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authorization", "user_consent"], "confidence": 0.9, "step_type": "decision", "tools_used": ["find", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "310e9e728ad245e78d4306596a6fc356", "memory_type": "task", "when_to_use": "When crafting content for external platforms like tweets, ensure all formatting rules (e.g., escaping characters) are followed to avoid syntax errors.", "content": "Improperly formatted JSON or special characters in automated posts can lead to failed executions; always validate the content before posting.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "content_validation", "formatting"], "confidence": 0.8, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a65abd219c0c456bb51cd32b41dd855a", "memory_type": "task", "when_to_use": "When using tools with required parameters (like authentication), ensure all necessary inputs are provided before proceeding.", "content": "Missing or incomplete parameters for functions can stall workflows; verify all required arguments are present before making function calls.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_checking", "tool_usage"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["authenticate_twitter", "posting_get_login_status"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "58ea9c98875b4adc8c84932c6007ba6d", "memory_type": "task", "when_to_use": "When navigating file systems to locate and read files, ensure the correct directory is accessed before attempting to read file contents.", "content": "Always verify the current working directory before executing file operations to prevent 'file not found' errors. Use commands like `pwd` and `cd` to navigate correctly.", "score": 0.0, "time_created": "2025-08-04 07:40:34", "time_modified": "2025-08-04 07:40:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:34", "modified_time": "2025-08-04 07:40:34", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "cat", "pwd", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "795437a003d2493097a0793513e354c4", "memory_type": "task", "when_to_use": "When crafting content for external platforms (e.g., tweets), ensure all required components fit within platform constraints (character limits, formatting).", "content": "Before posting content externally, validate that the message fits within platform-specific limits and retains all necessary details without truncation or distortion.", "score": 0.0, "time_created": "2025-08-04 07:40:34", "time_modified": "2025-08-04 07:40:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:34", "modified_time": "2025-08-04 07:40:34", "extra_info": {"tags": ["error_prevention", "failure_analysis", "content_creation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0ab9710b947b4becb809b3a83df755b9", "memory_type": "task", "when_to_use": "When needing to convert units of measurement (e.g., gallons to liters) in a vehicle-related context.", "content": "The agent successfully used the 'gallon_to_liter' function to convert 30 gallons to liters, providing an accurate result of approximately 113.56 liters. This step demonstrates the importance of leveraging domain-specific tools for precise unit conversions.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["unit_conversion", "vehicle_control_system", "accurate_calculation"], "confidence": 0.95, "step_type": "action", "tools_used": ["gallon_to_liter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "32b5a8ef616e4d05b8845a2bd3f6e487", "memory_type": "task", "when_to_use": "When preparing to start a vehicle's engine after ensuring prerequisites like locked doors and pressed brake pedal are met.", "content": "The agent followed a systematic approach to start the engine: locking all doors using 'lockDoors', pressing the brake pedal with 'pressBrakePedal', and finally starting the engine with 'startEngine'. This sequence highlights the necessity of adhering to safety protocols before engine ignition.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["engine_start", "safety_protocol", "systematic_approach"], "confidence": 0.9, "step_type": "sequence", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d0f7efae141d408988b89fb4abb2b9c5", "memory_type": "task", "when_to_use": "When posting updates on social media platforms after completing a task or verification process.", "content": "After verifying tire pressure with 'check_tire_pressure', the agent posted a tweet using 'post_tweet' to share the findings with hashtags and mentions. This step shows how to effectively communicate results and engage with a broader audience post-task completion.", "score": 0.0, "time_created": "2025-08-04 07:40:33", "time_modified": "2025-08-04 07:40:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:33", "modified_time": "2025-08-04 07:40:33", "extra_info": {"tags": ["social_media", "task_completion", "communication"], "confidence": 0.85, "step_type": "action", "tools_used": ["check_tire_pressure", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0639af7343c944e18ae1ce822b6cb8b0", "memory_type": "task", "when_to_use": "When converting units or performing calculations in a task involving multiple tools.", "content": "Always validate the relevance of selected tools for each step. Irrelevant tool usage (e.g., travel-related tools for fuel conversion) can lead to confusion and wasted effort.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "tool_relevance", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "book_flight", "authenticate_travel"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f94302bc32b94f61b7a2af981467801c", "memory_type": "task", "when_to_use": "When chaining multiple actions that depend on prior steps being successful.", "content": "Ensure intermediate actions are logically connected and necessary. Skipping unrelated steps (e.g., locking doors or checking tire pressure during fuel conversion) prevents unnecessary complexity.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "logical_flow", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["lockDoors", "check_tire_pressure", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "15b1b055a5ec4cbdb74a84f01b4d6e45", "memory_type": "task", "when_to_use": "When posting updates or communicating results via external platforms like social media.", "content": "Verify that the information being shared is directly relevant to the original query. Sharing unrelated findings (e.g., tire pressure details after a fuel conversion task) can dilute focus and confuse stakeholders.", "score": 0.0, "time_created": "2025-08-04 07:40:36", "time_modified": "2025-08-04 07:40:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:36", "modified_time": "2025-08-04 07:40:36", "extra_info": {"tags": ["error_prevention", "communication", "failure_analysis"], "confidence": 0.8, "step_type": "decision", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "02345c2d5094495f8606c5911cf6902a", "memory_type": "task", "when_to_use": "When interacting with vehicle systems (e.g., fuel, engine start), ensure all preconditions are met before executing commands.", "content": "Always verify the required system states (like locked doors or pressed brake pedals) prior to initiating dependent actions. Missing these steps can lead to repeated failures and wasted attempts.", "score": 0.0, "time_created": "2025-08-04 07:40:50", "time_modified": "2025-08-04 07:40:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:50", "modified_time": "2025-08-04 07:40:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cd3546c9f5594e2ca763e239ce9c3345", "memory_type": "task", "when_to_use": "When sending messages to multiple recipients, confirm user intent regarding self-sent messages and recipient accuracy.", "content": "Double-check message recipients during communication tasks, especially when users might mistakenly send messages to themselves instead of intended contacts.", "score": 0.0, "time_created": "2025-08-04 07:40:50", "time_modified": "2025-08-04 07:40:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:50", "modified_time": "2025-08-04 07:40:50", "extra_info": {"tags": ["error_prevention", "communication", "recipient_verification"], "confidence": 0.8, "step_type": "decision", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a6cb1608cf054966adb365961764aabb", "memory_type": "task", "when_to_use": "When attempting to start the engine and encountering errors related to preconditions like door locks or brake pedal status.", "content": "Always verify all vehicle preconditions (e.g., locked doors, brake pedal engagement) before initiating critical actions such as starting the engine. Sequentially address each error message until all prerequisites are satisfied.", "score": 0.0, "time_created": "2025-08-04 07:40:52", "time_modified": "2025-08-04 07:40:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:52", "modified_time": "2025-08-04 07:40:52", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "479010e436a846cf9b24f9f9e17a9859", "memory_type": "task", "when_to_use": "When needing to ensure proper communication with others during a multi-step task involving multiple systems (e.g., messaging system and vehicle control).", "content": "Cross-check sent messages after completing key steps to confirm that all relevant parties have been notified. This avoids overlooking critical updates or recipients.", "score": 0.0, "time_created": "2025-08-04 07:40:52", "time_modified": "2025-08-04 07:40:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:52", "modified_time": "2025-08-04 07:40:52", "extra_info": {"tags": ["error_prevention", "failure_analysis", "communication"], "confidence": 0.8, "step_type": "observation", "tools_used": ["view_messages_sent", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b318cebc89ab49eba81ba81a968705bb", "memory_type": "task", "when_to_use": "When the user needs to authenticate into a system using credentials and retrieve specific account information.", "content": "The agent successfully authenticated the user by calling 'authenticate_travel' with the provided client ID, secret, and refresh token. After obtaining the access token, it was used to fetch the credit card balance via 'get_credit_card_balance'. This sequence worked because the agent correctly identified the required tools and passed accurate parameters at each step.", "score": 0.0, "time_created": "2025-08-04 07:41:02", "time_modified": "2025-08-04 07:41:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:02", "modified_time": "2025-08-04 07:41:02", "extra_info": {"tags": ["authentication", "account-access", "credit-card-balance"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_travel", "get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e92bc4cf08b544a4a306a8e3aa34f0cc", "memory_type": "task", "when_to_use": "When the user requests computation of statistical data such as averages from a set of numerical inputs.", "content": "The agent recognized the need to calculate the mean of a list of numbers and invoked the 'mean' function with properly formatted numerical arguments. The result was validated against manual calculations, ensuring accuracy before presenting it to the user. This approach succeeded due to clear understanding of both the query and tool functionality.", "score": 0.0, "time_created": "2025-08-04 07:41:02", "time_modified": "2025-08-04 07:41:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:02", "modified_time": "2025-08-04 07:41:02", "extra_info": {"tags": ["statistical-computation", "mean-calculation", "numerical-inputs"], "confidence": 0.85, "step_type": "action", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "37c2c7b690f44c8f9c04891f5377e7df", "memory_type": "task", "when_to_use": "When the user needs to authenticate into a system using provided credentials and tokens.", "content": "The step pattern involved calling the 'authenticate_travel' function with all required parameters (client_id, client_secret, refresh_token, grant_type, user_first_name, user_last_name). This approach worked well because it directly addressed the user's need for authentication while ensuring that all necessary fields were supplied correctly. The success was evident when an access token was returned, allowing further actions within the system.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["authentication", "travel-system", "user-credentials"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_travel"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9ca7846b69e143b4b3fb17894d2d1b2c", "memory_type": "task", "when_to_use": "When the user requires retrieving specific financial information such as credit card balance after successful authentication.", "content": "After obtaining the access token from the authentication step, the 'get_credit_card_balance' function was called with the appropriate 'access_token' and 'card_id'. This technique proved effective because it leveraged the authenticated session to fetch precise account details, providing the user with the exact balance they needed. The clarity of inputs ensured no ambiguity in execution.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["credit-card", "financial-data", "post-authentication"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_credit_card_balance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3edeec1996cb41cca8d72eeee9071179", "memory_type": "task", "when_to_use": "When the user seeks to compute statistical values like mean from a list of provided numbers.", "content": "The sequence involved utilizing the 'mean' tool by passing an array of numerical transaction values. This decision point was critical as it demonstrated the ability to process user-provided data accurately and return meaningful results (average spending). The effectiveness stemmed from selecting the right tool and structuring the input correctly, which led to correct computation and enhanced user satisfaction.", "score": 0.0, "time_created": "2025-08-04 07:41:01", "time_modified": "2025-08-04 07:41:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:01", "modified_time": "2025-08-04 07:41:01", "extra_info": {"tags": ["statistical-computation", "mean", "transaction-analysis"], "confidence": 0.8, "step_type": "action", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2f3f2c637364443d9e7626a2682c8690", "memory_type": "task", "when_to_use": "When the user needs to retrieve and summarize historical messages for review.", "content": "The agent successfully retrieved all sent messages using 'view_messages_sent' and parsed the nested response structure to extract relevant details. By organizing the output into a clear, recipient-focused summary, it enabled the user to quickly identify key communications related to their stock and order queries. This approach ensures clarity and relevance when handling complex data structures.", "score": 0.0, "time_created": "2025-08-04 07:41:08", "time_modified": "2025-08-04 07:41:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:08", "modified_time": "2025-08-04 07:41:08", "extra_info": {"tags": ["message retrieval", "data parsing", "user communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7c807f9fcb5441a599a6459b681d7438", "memory_type": "task", "when_to_use": "When the user requests information about a specific stock or order but lacks direct context.", "content": "The agent first identified the stock symbol using 'get_symbol_by_name', then added it to the watchlist with 'add_to_watchlist'. For order details, it used 'get_order_history' followed by 'get_order_details' to provide precise updates. This sequential use of tools ensured accurate and actionable insights tailored to the user’s query.", "score": 0.0, "time_created": "2025-08-04 07:41:08", "time_modified": "2025-08-04 07:41:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:08", "modified_time": "2025-08-04 07:41:08", "extra_info": {"tags": ["stock tracking", "order history", "tool chaining"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_symbol_by_name", "add_to_watchlist", "get_order_history", "get_order_details"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "64b615f2cbde40ee9e36a42c160dfc7d", "memory_type": "task", "when_to_use": "When needing to retrieve and summarize historical messages for a user.", "content": "The agent successfully used 'view_messages_sent' to retrieve all sent messages by the user, grouped them by recipient, and presented a clear summary. This approach works well because it directly addresses the user's need to review past communications without requiring keyword searches or filtering.", "score": 0.0, "time_created": "2025-08-04 07:40:58", "time_modified": "2025-08-04 07:40:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:58", "modified_time": "2025-08-04 07:40:58", "extra_info": {"tags": ["message_management", "review", "user_communication"], "confidence": 0.9, "step_type": "action", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3e40a9007e7342e8a6452d2976262e8f", "memory_type": "task", "when_to_use": "When sending a message to another user after identifying their user ID.", "content": "The agent first used 'get_user_id' to resolve the recipient's user ID from their name, then called 'send_message' with the resolved ID and the intended message. This two-step pattern ensures accurate targeting of the recipient and successful message delivery.", "score": 0.0, "time_created": "2025-08-04 07:40:58", "time_modified": "2025-08-04 07:40:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:40:58", "modified_time": "2025-08-04 07:40:58", "extra_info": {"tags": ["message_sending", "user_resolution", "communication"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_user_id", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d9de10135f0f43d6918afa461c728146", "memory_type": "task", "when_to_use": "When determining travel costs between two cities, especially with specific class and date requirements.", "content": "The agent successfully identified the nearest airports for both departure and destination cities using 'get_nearest_airport_by_city', then accurately retrieved flight costs via 'get_flight_cost' by supplying precise parameters like travel class and date. This ensured accurate cost estimation aligned with user preferences.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["travel planning", "flight cost estimation", "parameter precision"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6f059c0286df4b4f85770becffbb1c73", "memory_type": "task", "when_to_use": "When a user requests budget adjustments based on currency conversion before finalizing bookings.", "content": "The agent effectively used 'compute_exchange_rate' to convert the user’s budget from RMB to USD, followed by 'set_budget_limit' to align the budget with the converted value. This step ensures financial feasibility while respecting user constraints.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["budget management", "currency conversion", "pre-booking validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2838d3bbfcf346eab00b0337177a4ffa", "memory_type": "task", "when_to_use": "When finalizing bookings and generating invoices post-transaction.", "content": "After confirming booking details through 'book_flight', the agent retrieved an itemized invoice using 'retrieve_invoice'. This provides transparency and confirmation to the user, enhancing trust and clarity in the process.", "score": 0.0, "time_created": "2025-08-04 07:41:27", "time_modified": "2025-08-04 07:41:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:27", "modified_time": "2025-08-04 07:41:27", "extra_info": {"tags": ["booking finalization", "invoice generation", "user transparency"], "confidence": 0.8, "step_type": "action", "tools_used": ["book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "92b493403dba4743bac5f2a18f0e9c36", "memory_type": "task", "when_to_use": "When handling multiple API calls, ensure all required arguments are correctly passed and validated before execution.", "content": "Missing or incorrect parameters in API calls can lead to execution failures. Always cross-check function signatures with the provided arguments.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "53a81adb8cb141a38149f984e1ee5845", "memory_type": "task", "when_to_use": "When managing budgets or financial constraints, verify that all costs align with the user's limits before confirming transactions.", "content": "Mismatch between costs and budget limits can cause dissatisfaction or unexpected outcomes. Always confirm alignment between expenses and budget thresholds.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["budget_management", "cost_alignment", "user_satisfaction"], "confidence": 0.85, "step_type": "decision", "tools_used": ["set_budget_limit", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7670c88203524e96912eb9f0789e71dc", "memory_type": "task", "when_to_use": "When retrieving or generating final outputs like invoices, ensure all prior steps have been successfully completed without errors.", "content": "Incomplete or erroneous preceding steps can result in inaccurate final outputs. Validate intermediate results before proceeding to final actions.", "score": 0.0, "time_created": "2025-08-04 07:41:11", "time_modified": "2025-08-04 07:41:11", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:11", "modified_time": "2025-08-04 07:41:11", "extra_info": {"tags": ["output_validation", "sequential_process", "failure_analysis"], "confidence": 0.8, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8de3002e1f2140f4a8b1022128063799", "memory_type": "task", "when_to_use": "When executing multi-step tasks where specific conditions must be met (e.g., tire pressure, fuel level) before proceeding to the next step.", "content": "Always validate that all preconditions are fully satisfied according to user requirements, even if system indicators suggest otherwise. For example, the system flagged 'healthy_tire_pressure' as true despite rear tires being underinflated.", "score": 0.0, "time_created": "2025-08-04 07:41:23", "time_modified": "2025-08-04 07:41:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:23", "modified_time": "2025-08-04 07:41:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dd3f995ed4924ebcb83e60d0b3510fb0", "memory_type": "task", "when_to_use": "When planning actions based on external dependencies like service centers or locations.", "content": "Ensure clarity in interpreting user intent regarding navigation or location-based services. If unsure whether to navigate directly or provide coordinates, confirm with the user first.", "score": 0.0, "time_created": "2025-08-04 07:41:23", "time_modified": "2025-08-04 07:41:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:23", "modified_time": "2025-08-04 07:41:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "navigation"], "confidence": 0.75, "step_type": "decision", "tools_used": ["find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f1a6ed0dc2bb4c9189c3dcb6f1d2bf30", "memory_type": "task", "when_to_use": "When interpreting tool responses that include boolean health/status flags but also specific numeric data.", "content": "Do not rely solely on boolean flags in tool responses when the user specifies a clear numeric target; always cross-check the actual values provided against the user's explicit requirements.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_response_interpretation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4fea641c49b349598aff5c7b85a53014", "memory_type": "task", "when_to_use": "When performing sequential safety checks where one step depends on the completion of another (e.g., locking doors before starting an engine).", "content": "Ensure all prerequisites are fully met before proceeding to dependent steps, even if intermediate errors seem resolved, as partial fulfillment may still cause failures downstream.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "sequential_dependency"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8c0ff791ca8d4eaab667c5ff3e2d7bbd", "memory_type": "task", "when_to_use": "When exact precision is required for units or measurements (e.g., rounding liters to gallons or PSI levels).", "content": "Explicitly confirm and apply any unit conversions or rounding rules provided by the user rather than assuming tools will handle them correctly based on defaults.", "score": 0.0, "time_created": "2025-08-04 07:41:38", "time_modified": "2025-08-04 07:41:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:38", "modified_time": "2025-08-04 07:41:38", "extra_info": {"tags": ["error_prevention", "failure_analysis", "unit_conversion"], "confidence": 0.8, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0adec04fd4ed435fab32891b636e8822", "memory_type": "task", "when_to_use": "When interacting with vehicle systems, ensure all preconditions are met before executing commands.", "content": "Always verify preconditions such as the brake pedal being pressed before attempting to start the engine. Missing these steps can lead to errors or failed actions.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_systems"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "af3c4a53ac684dacac573460ddcd0965", "memory_type": "task", "when_to_use": "When filling a fuel tank, ensure the amount of fuel specified does not exceed the tank's capacity.", "content": "Attempting to fill beyond the maximum capacity will result in an error. Always check the current fuel level and tank capacity before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "fuel_system"], "confidence": 0.85, "step_type": "decision", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a65570af5fd1471d86bfa7a4ee54d27d", "memory_type": "task", "when_to_use": "When receiving system feedback indicating 'healthy' conditions, cross-check against user-specified thresholds for additional safety.", "content": "System indicators may show 'healthy' status, but user-defined thresholds (e.g., tire pressure below 37 psi) should always take precedence to avoid potential issues during critical tasks like long trips.", "score": 0.0, "time_created": "2025-08-04 07:41:41", "time_modified": "2025-08-04 07:41:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:41", "modified_time": "2025-08-04 07:41:41", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tire_safety"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2ed9bd9397174232bba1e7160246d19d", "memory_type": "task", "when_to_use": "When checking vehicle readiness for a trip and the user specifies custom thresholds (e.g., tire pressure above system defaults).", "content": "Always explicitly confirm whether system-reported 'healthy' statuses align with user-defined thresholds before proceeding. Misalignment between default system checks and user expectations can lead to overlooked issues.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "user_thresholds", "vehicle_readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23bf896f2b4047a2985ae2d7fdf0fcd4", "memory_type": "task", "when_to_use": "When attempting to fill a vehicle's fuel tank or adjust any system with capacity limits.", "content": "Avoid exceeding predefined system capacities (e.g., fuel tank maximum) without first verifying current levels and constraints. Exceeding these limits will result in errors and wasted actions.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "capacity_constraints", "fuel_management"], "confidence": 0.85, "step_type": "action", "tools_used": ["fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "79eecaf70c254e09b4accf57b77d7ad7", "memory_type": "task", "when_to_use": "When performing multi-step tasks requiring specific preconditions (e.g., pressing the brake pedal before starting the engine).", "content": "Always verify all necessary preconditions are met prior to executing an action. Missing a required step can cause failures, requiring redundant corrective actions later in the sequence.", "score": 0.0, "time_created": "2025-08-04 07:41:39", "time_modified": "2025-08-04 07:41:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:39", "modified_time": "2025-08-04 07:41:39", "extra_info": {"tags": ["error_prevention", "preconditions", "task_execution"], "confidence": 0.8, "step_type": "decision", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0709a04a91fd472eb3080db27090ec4e", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies a shared or communal directory, but the available tools only support operations in the current directory.", "content": "Always confirm whether the requested directory manipulation is supported by the toolset. If not, clarify with the user and proceed with an alternative approach within the constraints of the tools.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations", "directory_handling"], "confidence": 0.85, "step_type": "decision", "tools_used": ["touch", "echo", "cat", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "078ec638c48d4066b0516b4bf0cd2725", "memory_type": "task", "when_to_use": "When needing to write data or counts into a new file, ensure that the content formatting aligns with expected future uses (e.g., machine readability).", "content": "Format outputs like word counts or statistics consistently for potential downstream processing. Avoid storing unstructured raw values unless explicitly requested by the user.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_formatting", "output_consistency"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aaf5c0c984574474bdcfa83ca2ae8b46", "memory_type": "task", "when_to_use": "When performing multi-step tasks involving file creation, modification, and inspection, validate intermediate results at each step to prevent cascading failures.", "content": "Verify the success of each operation (e.g., file creation, content writing) before proceeding to subsequent steps. This ensures errors are caught early and mitigated promptly.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "validation", "intermediate_results"], "confidence": 0.9, "step_type": "observation", "tools_used": ["touch", "echo", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f879d736bc174e9684148af49f628bcb", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies a shared or communal directory, ensure that the correct directory is confirmed before proceeding.", "content": "Always verify the current working directory or navigate to the intended directory before executing file-related commands. Misalignment between the assumed and actual directory can lead to misplaced files.", "score": 0.0, "time_created": "2025-08-04 07:41:31", "time_modified": "2025-08-04 07:41:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:31", "modified_time": "2025-08-04 07:41:31", "extra_info": {"tags": ["error_prevention", "directory_management", "file_operations"], "confidence": 0.9, "step_type": "decision", "tools_used": ["cd", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dddafad84f03415db445b8778cd00b4f", "memory_type": "task", "when_to_use": "When writing numeric data (e.g., counts, statistics) into files using text-based tools like 'echo', ensure clarity on formatting requirements.", "content": "Numeric outputs should be explicitly formatted as strings when passed to functions that expect textual content. This avoids ambiguity in how numbers are stored or presented in files.", "score": 0.0, "time_created": "2025-08-04 07:41:31", "time_modified": "2025-08-04 07:41:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:31", "modified_time": "2025-08-04 07:41:31", "extra_info": {"tags": ["error_prevention", "data_formatting", "file_writing"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "21f0fe1a698b4f32b778d8787944a336", "memory_type": "task", "when_to_use": "When preparing a vehicle for a trip and encountering sequential prerequisites like locking doors or pressing the brake pedal.", "content": "The agent successfully navigated multiple dependent steps (locking doors, pressing the brake pedal) before starting the engine. Addressing system errors sequentially ensured all conditions were met, leading to a successful engine start.", "score": 0.0, "time_created": "2025-08-04 07:41:49", "time_modified": "2025-08-04 07:41:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:49", "modified_time": "2025-08-04 07:41:49", "extra_info": {"tags": ["vehicle preparation", "sequential tasks", "error handling"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4f24392a91a14268931e527fc317133c", "memory_type": "task", "when_to_use": "When estimating travel distance between two cities using zip codes and determining fuel feasibility.", "content": "The agent efficiently estimated the distance by converting city names into zip codes and checking if the current fuel level was sufficient. When it wasn't, the agent refueled the vehicle, ensuring trip readiness.", "score": 0.0, "time_created": "2025-08-04 07:41:49", "time_modified": "2025-08-04 07:41:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:49", "modified_time": "2025-08-04 07:41:49", "extra_info": {"tags": ["distance estimation", "fuel management", "trip planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance", "estimate_drive_feasibility_by_mileage", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f6b5037b2b084af2ba6cd6a8230283ae", "memory_type": "task", "when_to_use": "When preparing to start a vehicle or system, ensure all prerequisites (like locked doors) are met before attempting the main action.", "content": "Always verify preconditions or constraints in multi-step processes. Missing these can lead to avoidable errors and additional corrective steps.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "preconditions", "vehicle_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "69de565b0c964e2a9a3f26c32e39f0a0", "memory_type": "task", "when_to_use": "When receiving an error message during task execution, immediately analyze and resolve the issue before proceeding further.", "content": "Error messages often indicate missing steps or incorrect configurations. Addressing these promptly prevents cascading failures and wasted efforts.", "score": 0.0, "time_created": "2025-08-04 07:41:46", "time_modified": "2025-08-04 07:41:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:46", "modified_time": "2025-08-04 07:41:46", "extra_info": {"tags": ["error_prevention", "failure_analysis", "error_handling", "task_execution"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "03507b92e3764630bdfe832cd49ac0a7", "memory_type": "task", "when_to_use": "When preparing a vehicle for departure and ensuring all safety measures are in place.", "content": "The sequence of locking doors, pressing the brake pedal, and then starting the engine ensures compliance with vehicle safety protocols. This approach prevents errors by addressing prerequisites systematically: first securing the vehicle (locking doors), then engaging necessary controls (braking), and finally initiating the engine.", "score": 0.0, "time_created": "2025-08-04 07:41:58", "time_modified": "2025-08-04 07:41:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:58", "modified_time": "2025-08-04 07:41:58", "extra_info": {"tags": ["vehicle_start", "safety_checks", "sequential_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0ebac2ba6a18411bb45ea5a6b6ac52db", "memory_type": "task", "when_to_use": "When calculating distances between locations to plan travel logistics such as fuel stops.", "content": "Using zipcode-based distance estimation tools provides accurate results that can guide decisions about refueling or rest stops during long trips. This method avoids ambiguity from city names alone and integrates seamlessly with other planning tasks like mileage feasibility checks.", "score": 0.0, "time_created": "2025-08-04 07:41:58", "time_modified": "2025-08-04 07:41:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:41:58", "modified_time": "2025-08-04 07:41:58", "extra_info": {"tags": ["distance_calculation", "travel_planning", "fuel_stop_strategy"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a349287fcb834020a93d02323742075e", "memory_type": "task", "when_to_use": "When initiating a multi-step process involving prerequisites (e.g., locking doors, pressing pedals) before executing the main action.", "content": "Always verify and address all prerequisite conditions explicitly in sequence before attempting the primary task. Missing even one condition can cascade into repeated failures.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["error_prevention", "prerequisite_checking", "sequential_execution"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "19a8d7eb7a6c4bf79bcf0160f1586481", "memory_type": "task", "when_to_use": "When encountering an error message that specifies a required action (e.g., 'All doors must be locked', 'Brake pedal needs to be pressed').", "content": "Error messages often indicate missing steps that must be completed before retrying the failed action. Treat them as actionable instructions rather than blockers.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["error_handling", "failure_recovery", "user_guidance"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca981b7e913b47b5b2c499371b6f4bd2", "memory_type": "task", "when_to_use": "When performing actions with parameterized inputs (e.g., brake pedal position, fuel amount).", "content": "Ensure parameter values align precisely with system requirements or constraints. Partial or incorrect values can lead to errors despite logical intent.", "score": 0.0, "time_created": "2025-08-04 07:42:04", "time_modified": "2025-08-04 07:42:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:04", "modified_time": "2025-08-04 07:42:04", "extra_info": {"tags": ["parameter_validation", "input_verification", "tool_usage"], "confidence": 0.8, "step_type": "action", "tools_used": ["pressBrakePedal", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3915b641506e4de7972f87f9af555d10", "memory_type": "task", "when_to_use": "When securing a vehicle and preparing it for use after maintenance.", "content": "The sequence of locking all doors first, followed by initiating the engine with proper preconditions (e.g., pressing the brake pedal) ensures safety and readiness. This pattern avoids potential errors such as attempting to start the engine without fulfilling necessary conditions.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["vehicle-readiness", "safety-checks", "error-prevention"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4eed52dd32144e16b633ba3021f24d3a", "memory_type": "task", "when_to_use": "When posting social media updates involving mentions and tags.", "content": "Including relevant tags and mentions in the correct format within a post_tweet function ensures that the message is amplified to the intended audience. Validating content alignment with user intent (perfect tire condition) and verifying correct tool parameters (tags and mentions arrays) increases engagement and accuracy.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["social-media", "content-validation", "tool-usage"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "93bd6886579a4134aa649c8714606fc4", "memory_type": "task", "when_to_use": "When initiating the engine after locking doors or performing other vehicle operations.", "content": "Always check if there are preconditions for starting the engine, such as pressing the brake pedal. Ignoring these prerequisites can lead to failure in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:42:06", "time_modified": "2025-08-04 07:42:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:06", "modified_time": "2025-08-04 07:42:06", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start_procedures"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2f08d704917a4e67a6316f9ac41a0153", "memory_type": "task", "when_to_use": "When handling multiple sequential tasks involving different vehicle systems (e.g., door locks and engine start).", "content": "Ensure all interdependent actions are accounted for before proceeding with the next step. For example, verify that required conditions like brake pedal engagement are met before attempting to start the engine.", "score": 0.0, "time_created": "2025-08-04 07:42:06", "time_modified": "2025-08-04 07:42:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:06", "modified_time": "2025-08-04 07:42:06", "extra_info": {"tags": ["error_prevention", "task_dependency", "vehicle_systems"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["lockDoors", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2e46a556c9354ace8463e6e49698af9e", "memory_type": "task", "when_to_use": "When booking a flight and handling related services like insurance, ensure that all required fields for each API call are correctly understood and validated before execution.", "content": "Failure occurred due to incorrect parameter usage ('travel_cost' instead of the expected field). Always cross-check function signatures with intended inputs, especially when parameters might have overlapping or similarly named fields.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8d9240f7fb60472b9528bf409850792d", "memory_type": "task", "when_to_use": "In cases where customer support is contacted for itinerary changes or refunds, confirm whether additional tools exist to handle such requests directly (e.g., cancellation or refund functions).", "content": "While contacting customer support was appropriate, exploring other available tools could reveal more direct methods to manage cancellations or adjustments without external intervention.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["tool_exploration", "customer_support", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["contact_customer_support", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "eccf5c23699c4ab79d463d5b19d3f044", "memory_type": "task", "when_to_use": "When retrieving invoices after bookings, ensure clarity on which components (flight, insurance, etc.) are included in the invoice output, as missing details can lead to incomplete financial records.", "content": "The retrieved invoice did not explicitly include insurance costs, suggesting potential gaps in how comprehensive the data returned by 'retrieve_invoice' is. Verify what specific elements are captured in generated documents.", "score": 0.0, "time_created": "2025-08-04 07:42:15", "time_modified": "2025-08-04 07:42:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:15", "modified_time": "2025-08-04 07:42:15", "extra_info": {"tags": ["invoice_retrieval", "financial_clarity", "documentation"], "confidence": 0.75, "step_type": "observation", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "08bf2bd7807e4ad590a230e4acd1d2d0", "memory_type": "task", "when_to_use": "When handling booking or payment-related tasks that involve multiple API calls with specific parameters.", "content": "Always validate the expected arguments of a function against its documentation before making an API call. Unexpected keyword arguments can cause execution failure even if the logic seems correct.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["error_prevention", "API_validation", "parameter_check"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "get_flight_cost"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a8bc732161d24ebf9a5a570087a5091a", "memory_type": "task", "when_to_use": "When user requests involve sensitive actions like cancellations or refunds due to emergencies.", "content": "Before proceeding with irreversible actions (e.g., cancellation), ensure all necessary information (like access tokens) is explicitly provided by the user or retrieved from the session context. Avoid assuming implicit data availability.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["error_prevention", "context_management", "user_confirmation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_booking", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c5f2b4303ec64db0b7ed223e57222e1f", "memory_type": "task", "when_to_use": "When encountering repetitive errors in API calls despite logical consistency.", "content": "Break down complex workflows into smaller, testable steps and verify intermediate outputs. This helps isolate issues early and reduces cascading failures in multi-step processes.", "score": 0.0, "time_created": "2025-08-04 07:42:08", "time_modified": "2025-08-04 07:42:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:08", "modified_time": "2025-08-04 07:42:08", "extra_info": {"tags": ["failure_analysis", "debugging", "workflow_optimization"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d732e6f883e445898b8d4e9aeda8ba4a", "memory_type": "task", "when_to_use": "When attempting to start the engine, ensure all doors are locked beforehand.", "content": "Always verify door lock status before starting the engine to avoid unexpected errors. This can be done by checking the vehicle's door status using an appropriate tool like `displayCarStatus` or ensuring locks are engaged via `lockDoors`.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_control"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4ced775ee40244e3ac0c8d143fa36f87", "memory_type": "task", "when_to_use": "When estimating trip feasibility based on fuel levels, consider refueling preemptively if uncertain about range.", "content": "Ensure sufficient fuel is available for long trips by either fully refueling or confirming current fuel levels with `displayCarStatus`. Proactively addressing fuel needs avoids potential mid-journey issues.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["error_prevention", "fuel_management", "trip_planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["estimate_drive_feasibility_by_mileage", "fillFuelTank", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e9dcdcd2ccb740fa87e2c6187e277d66", "memory_type": "task", "when_to_use": "Before sending messages in a workspace, confirm recipient IDs and review message history to avoid redundancy.", "content": "Use tools like `view_messages_sent` to check past communications and validate recipients with `get_user_id`, ensuring clarity and avoiding unnecessary repetition in messaging workflows.", "score": 0.0, "time_created": "2025-08-04 07:42:05", "time_modified": "2025-08-04 07:42:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:05", "modified_time": "2025-08-04 07:42:05", "extra_info": {"tags": ["communication", "message_tracking", "workspace_management"], "confidence": 0.8, "step_type": "decision", "tools_used": ["send_message", "view_messages_sent", "get_user_id"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "80c5ff1e2ec54c0ea5c72039338b1d24", "memory_type": "task", "when_to_use": "When estimating vehicle feasibility for a long trip based on fuel level.", "content": "Always ensure to cross-check both the distance and current fuel capacity before determining if the vehicle is suitable for travel. If additional refueling is required, provide clear instructions to the user on how much fuel is necessary.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "fuel_check", "vehicle_readiness"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["estimate_drive_feasibility_by_mileage", "displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a3de9854a1384c52b6526d802d62e717", "memory_type": "task", "when_to_use": "When initiating actions that have preconditions (e.g., starting the engine requires locked doors and pressed brake).", "content": "Before attempting an action with known preconditions, verify all conditions are met first to avoid repeated failures. For instance, check door locks and brake status prior to starting the engine.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "precondition_check", "engine_start"], "confidence": 0.85, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3cf1abf90a1a4269a0c19592baaeddc1", "memory_type": "task", "when_to_use": "When communicating updates or sending messages to multiple parties during a task.", "content": "Ensure users are aware of all messages sent during a session, especially when coordinating with multiple recipients. This helps maintain clarity and avoids missing any critical communication steps.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["message_tracking", "communication", "update_confirmation"], "confidence": 0.8, "step_type": "observation", "tools_used": ["send_message", "view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "49260142b6e84e89b5b5f4288715b52d", "memory_type": "task", "when_to_use": "When attempting to create a directory that may already exist, verify its existence first to avoid unnecessary errors.", "content": "Before using 'mkdir', check if the directory exists using tools like 'ls' or handle exceptions when the directory already exists. This prevents redundant operations and ensures smoother execution.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "directory_management", "redundancy_check"], "confidence": 0.9, "step_type": "action", "tools_used": ["mkdir", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5fe83ddbc12b441b9a088dc59ad5cebe", "memory_type": "task", "when_to_use": "When moving files into a specific directory, ensure the target directory is accessible and correctly referenced.", "content": "Always confirm the destination directory's existence and accessibility before executing file-moving operations to prevent misplaced or failed transfers.", "score": 0.0, "time_created": "2025-08-04 07:42:19", "time_modified": "2025-08-04 07:42:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:19", "modified_time": "2025-08-04 07:42:19", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_verification"], "confidence": 0.85, "step_type": "decision", "tools_used": ["mv", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d43f2674d0f241f4a21869c683d78133", "memory_type": "task", "when_to_use": "When attempting to move files between directories, ensure the correct path resolution is used.", "content": "Always verify the current working directory and explicitly confirm file paths before executing file operations. Misaligned or incomplete paths can lead to 'file not found' errors even when the file exists.", "score": 0.0, "time_created": "2025-08-04 07:42:23", "time_modified": "2025-08-04 07:42:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:23", "modified_time": "2025-08-04 07:42:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "mv", "pwd", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e74b9d0f92f44baf8e4d736aa8cb3cce", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error in tools with specific parameters.", "content": "Ensure all tool arguments strictly adhere to the documented parameter list without introducing unsupported keywords (e.g., 'path' in `ls`).", "score": 0.0, "time_created": "2025-08-04 07:42:23", "time_modified": "2025-08-04 07:42:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:23", "modified_time": "2025-08-04 07:42:23", "extra_info": {"tags": ["error_prevention", "tool_usage", "parameter_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "97d3ef0c915147c0ba4bab2c58d7ac58", "memory_type": "task", "when_to_use": "When navigating directories and encountering 'No such directory' errors despite previous creation attempts.", "content": "Ensure that the directory structure is not nested incorrectly by verifying the current working directory with 'pwd' before proceeding with further commands. Avoid redundant directory creations without confirming their existence.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "directory_management", "navigation_errors"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "mkdir", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0390e3d563324daf837b12ec8227cabf", "memory_type": "task", "when_to_use": "When copying files to a destination directory fails due to naming or path issues.", "content": "Verify if the source file exists in the current directory before attempting copy operations. Ensure the destination directory is correctly specified without violating function constraints on paths.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "file_operations", "copy_errors"], "confidence": 0.8, "step_type": "action", "tools_used": ["cp", "ls", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a813c07a3d7842b4b005f275abd6e857", "memory_type": "task", "when_to_use": "When repeated attempts to access or modify files result in inconsistencies or unexpected errors.", "content": "Regularly check the contents of the current directory using 'ls' to confirm the presence of expected files and directories, especially after failed operations.", "score": 0.0, "time_created": "2025-08-04 07:42:36", "time_modified": "2025-08-04 07:42:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:36", "modified_time": "2025-08-04 07:42:36", "extra_info": {"tags": ["error_prevention", "file_verification", "unexpected_errors"], "confidence": 0.75, "step_type": "observation", "tools_used": ["ls", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c1fdbfbef1af41dbb261c9a67d865902", "memory_type": "task", "when_to_use": "When attempting to copy files between directories where the source and destination are in different locations.", "content": "Ensure that the file exists in the current working directory or navigate to the correct directory before performing operations. Tools with path restrictions require careful handling of relative paths.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "fadf782eb4d94877b75460df36258ffd", "memory_type": "task", "when_to_use": "When receiving errors related to missing files during file operations.", "content": "Verify the existence and location of the target file explicitly before proceeding with dependent actions such as copying or moving.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["error_prevention", "file_verification", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["ls", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3ef00c117f76436297800f4361f8c921", "memory_type": "task", "when_to_use": "When designing sequences involving tools that do not support complex paths.", "content": "Break down multi-step operations into simpler sub-tasks, ensuring each step is achievable within the constraints of the toolset.", "score": 0.0, "time_created": "2025-08-04 07:42:31", "time_modified": "2025-08-04 07:42:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:31", "modified_time": "2025-08-04 07:42:31", "extra_info": {"tags": ["tool_constraints", "sequence_design", "error_prevention"], "confidence": 0.8, "step_type": "decision", "tools_used": ["mkdir", "cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c77424d073ef4a9991f73b13fb64b725", "memory_type": "task", "when_to_use": "When searching for files with specific names in a directory and planning to compare them.", "content": "Ensure both files exist before attempting any comparison or further operations. If one file is missing, clarify with the user whether they want to proceed or provide an alternative name/path.", "score": 0.0, "time_created": "2025-08-04 07:42:39", "time_modified": "2025-08-04 07:42:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:39", "modified_time": "2025-08-04 07:42:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0be420c42c94038832e5c5e99a57767", "memory_type": "task", "when_to_use": "When handling tasks that involve multiple sequential steps (e.g., file search followed by content comparison).", "content": "Break down the task explicitly into sub-tasks, validate completion of each step before proceeding, and handle cases where intermediate steps fail gracefully by communicating clearly with the user.", "score": 0.0, "time_created": "2025-08-04 07:42:39", "time_modified": "2025-08-04 07:42:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:39", "modified_time": "2025-08-04 07:42:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_decomposition"], "confidence": 0.85, "step_type": "decision", "tools_used": ["find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6a232f80dcad44578395109b40991515", "memory_type": "task", "when_to_use": "When attempting to move and rename files across directories using functions with path restrictions.", "content": "Understand the limitations of available tools, especially regarding paths. If a function cannot handle full paths for moving and renaming, split the task into discrete steps: first navigate to the target directory, then perform the operation locally.", "score": 0.0, "time_created": "2025-08-04 07:42:42", "time_modified": "2025-08-04 07:42:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:42", "modified_time": "2025-08-04 07:42:42", "extra_info": {"tags": ["error_prevention", "file_operations", "tool_limitations"], "confidence": 0.85, "step_type": "action", "tools_used": ["mv", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c26328b9490749fb88d952b27ffe695e", "memory_type": "task", "when_to_use": "When interpreting user requests that involve multiple logical operations (e.g., both moving and renaming).", "content": "Break down complex user instructions into smaller, actionable components before proceeding. Validate whether each component can be executed given the constraints of the available tools.", "score": 0.0, "time_created": "2025-08-04 07:42:42", "time_modified": "2025-08-04 07:42:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:42", "modified_time": "2025-08-04 07:42:42", "extra_info": {"tags": ["task_decomposition", "failure_analysis", "user_instructions"], "confidence": 0.9, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8881ff37e7874cee9511cd49f0c22ab3", "memory_type": "task", "when_to_use": "When the user needs to gather specific travel-related information (e.g., flight costs) and proceed with booking while adhering to a budget.", "content": "The agent successfully navigated through multiple steps: identifying nearest airports, retrieving flight costs, setting a budget limit, making the booking, and generating an invoice. Each step was executed sequentially using appropriate functions based on clear decision points (e.g., verifying budget before booking). This structured approach ensured accuracy and alignment with user requirements.", "score": 0.0, "time_created": "2025-08-04 07:42:35", "time_modified": "2025-08-04 07:42:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:35", "modified_time": "2025-08-04 07:42:35", "extra_info": {"tags": ["travel_booking", "sequential_execution", "budget_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "set_budget_limit", "book_flight", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f449e61babed43d3b8927a98607bfdb4", "memory_type": "task", "when_to_use": "When escalating concerns or issues related to a booking to customer support.", "content": "After completing the booking process, the agent effectively handled a post-booking concern by contacting customer support with precise details (booking ID and issue description). This ensured that the user's concern was formally logged for resolution without disrupting the overall flow of the task.", "score": 0.0, "time_created": "2025-08-04 07:42:35", "time_modified": "2025-08-04 07:42:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:35", "modified_time": "2025-08-04 07:42:35", "extra_info": {"tags": ["customer_support", "escalation_process", "post_booking"], "confidence": 0.85, "step_type": "decision", "tools_used": ["contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd4b33ea1a154c3ba4ccdcf3ca735477", "memory_type": "task", "when_to_use": "When encountering unexpected parameter errors during function calls.", "content": "Always cross-check the function's expected parameters against its documentation to ensure no discrepancies exist between defined and actual arguments. If an error persists despite correct usage, consider that the backend implementation may not align with documented specifications.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["error_prevention", "parameter_validation", "api_mismatch"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3c869a998e0b44d0b86632541ebbb0ad", "memory_type": "task", "when_to_use": "When a follow-up action (e.g., retrieving an invoice) depends on a prior step that might have failed silently or partially.", "content": "Before proceeding with dependent steps, validate the success of preceding actions by checking for explicit confirmation or identifiers such as booking IDs. If unavailable, revisit and resolve the upstream issue first.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["failure_analysis", "dependency_checking", "booking_validation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0192cb6a043c4549bf80f1f5c59cda70", "memory_type": "task", "when_to_use": "When planning a sequence involving budget constraints followed by expenditures.", "content": "Ensure budget-setting steps are compatible with downstream operations like payment processing. Validate whether the system enforcing the budget integrates seamlessly with expenditure functions to avoid unanticipated failures.", "score": 0.0, "time_created": "2025-08-04 07:42:43", "time_modified": "2025-08-04 07:42:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:43", "modified_time": "2025-08-04 07:42:43", "extra_info": {"tags": ["budget_management", "payment_processing", "error_prevention"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["set_budget_limit", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "52744607692f4357ac5493c9d8abff65", "memory_type": "task", "when_to_use": "When retrieving specific booking-related information such as invoices, ensure all required parameters are provided by the user or inferred from context.", "content": "Always verify that optional but necessary fields like booking ID are supplied or clarified with the user before making API calls. Missing key details can lead to 'not found' errors even if other data (e.g., access token) is correct.", "score": 0.0, "time_created": "2025-08-04 07:42:55", "time_modified": "2025-08-04 07:42:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:55", "modified_time": "2025-08-04 07:42:55", "extra_info": {"tags": ["error_prevention", "failure_analysis", "booking_retrieval"], "confidence": 0.9, "step_type": "action", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aac66fe6187d46f599ce711a34e9ae94", "memory_type": "task", "when_to_use": "In scenarios where users request actions tied to previous interactions, cross-check for implicit dependencies on earlier steps or inputs.", "content": "If a function relies on contextual data from prior steps (e.g., booking ID), explicitly confirm this information with the user unless it's guaranteed to be available in the session state.", "score": 0.0, "time_created": "2025-08-04 07:42:55", "time_modified": "2025-08-04 07:42:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:55", "modified_time": "2025-08-04 07:42:55", "extra_info": {"tags": ["context_management", "user_clarification", "dependency_tracking"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6c396e9c290b4fdd89384aabaef38e65", "memory_type": "task", "when_to_use": "When the user's request requires specific parameters to call an API function, but those parameters are missing from their query.", "content": "Always confirm all required inputs (e.g., booking ID, access token) with the user before attempting to execute a function. Missing inputs lead to execution failure and waste time.", "score": 0.0, "time_created": "2025-08-04 07:42:40", "time_modified": "2025-08-04 07:42:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:40", "modified_time": "2025-08-04 07:42:40", "extra_info": {"tags": ["error_prevention", "input_validation", "user_query"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bebcd545be714cff984d488930554706", "memory_type": "task", "when_to_use": "When handling multi-step processes that depend on earlier interactions or data (e.g., referencing booking IDs or insurance IDs).", "content": "Maintain context continuity by explicitly linking current requests to prior steps. If unsure about necessary details, ask clarifying questions rather than proceeding with incomplete information.", "score": 0.0, "time_created": "2025-08-04 07:42:40", "time_modified": "2025-08-04 07:42:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:40", "modified_time": "2025-08-04 07:42:40", "extra_info": {"tags": ["context_management", "failure_analysis", "multi_step_processes"], "confidence": 0.85, "step_type": "decision", "tools_used": ["purchase_insurance", "retrieve_invoice"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "43c98827b6f04494aef645e8f754cc6e", "memory_type": "task", "when_to_use": "When the user specifies a budget in one currency but the system requires it in another.", "content": "The sequence involved identifying the need to convert currency before setting a budget limit. First, the compute_exchange_rate tool was used to convert the user-specified amount from GBP to USD. Then, the converted value was passed to the set_budget_limit function, ensuring compliance with the system's USD requirement. This approach avoids errors and aligns the user’s intent with system constraints.", "score": 0.0, "time_created": "2025-08-04 07:43:02", "time_modified": "2025-08-04 07:43:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:02", "modified_time": "2025-08-04 07:43:02", "extra_info": {"tags": ["currency_conversion", "budget_setting", "compliance"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f08b9e84dbe24e0cb8e29ce19eb0f0a5", "memory_type": "task", "when_to_use": "When multiple tools are required to achieve the user's goal, such as gathering flight cost details and setting a related budget.", "content": "The agent first identified the nearest airports using get_nearest_airport_by_city, then calculated the flight cost with get_flight_cost. When the user requested to set a daily spend limit, the agent recognized the need for currency conversion before applying the budget limit via set_budget_limit. This multi-step reasoning ensured all parts of the query were addressed comprehensively.", "score": 0.0, "time_created": "2025-08-04 07:43:02", "time_modified": "2025-08-04 07:43:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:02", "modified_time": "2025-08-04 07:43:02", "extra_info": {"tags": ["multi_tool_sequence", "user_goal_alignment", "travel_planning"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_nearest_airport_by_city", "get_flight_cost", "compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "639f53bcf1a1436a95de0a66c6a69233", "memory_type": "task", "when_to_use": "When handling currency conversions in budget-related tasks where the system expects a specific currency (e.g., USD) but the user provides another (e.g., GBP).", "content": "Always verify that the input currency matches the expected currency of the function parameters. If not, perform an explicit conversion using available tools before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:42:57", "time_modified": "2025-08-04 07:42:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:57", "modified_time": "2025-08-04 07:42:57", "extra_info": {"tags": ["error_prevention", "currency_conversion", "budget_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["compute_exchange_rate", "set_budget_limit"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae9781d595764f049ad3f75d78c9b269", "memory_type": "task", "when_to_use": "When interpreting user inputs that may include implicit expectations about currency handling.", "content": "Clarify with the user or confirm internally whether the provided value needs to be converted or if the system can handle the specified currency directly. Misalignment between user intent and system functionality can lead to incorrect outcomes.", "score": 0.0, "time_created": "2025-08-04 07:42:57", "time_modified": "2025-08-04 07:42:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:57", "modified_time": "2025-08-04 07:42:57", "extra_info": {"tags": ["user_communication", "failure_analysis", "input_validation"], "confidence": 0.8, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f91700d65c4b44e69c1ae23e9bd88e41", "memory_type": "task", "when_to_use": "When starting a vehicle's engine and encountering safety-related errors (e.g., brake pedal not pressed).", "content": "The sequence of attempting to start the engine, receiving an error about the brake pedal, then fully pressing the brake before retrying successfully ensured compliance with safety protocols. This approach prevents potential accidents or damage caused by bypassing safety mechanisms.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["engine-start", "safety-protocol", "brake-pedal"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9e52b9a27c4e402192dc23bf549c2120", "memory_type": "task", "when_to_use": "When monitoring tire pressure and determining whether immediate maintenance is required.", "content": "After checking tire pressures using `check_tire_pressure`, identifying that all tires were below the safe threshold led to finding the nearest tire shop using `find_nearest_tire_shop`. This proactive decision-making ensures driver safety and avoids potential tire failure during operation.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["tire-pressure", "maintenance", "safety-first"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f0ca5f9e58194910ad8e9124d1546b1e", "memory_type": "task", "when_to_use": "When sharing updates on vehicle status via social media while emphasizing key takeaways.", "content": "Posting a tweet summarizing the vehicle checks followed by a reinforcing comment ('Safety first!') effectively communicated both progress and priorities. Using the `post_tweet` and `comment` functions together created a cohesive narrative for followers, enhancing engagement and awareness around safety practices.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["social-media", "engagement", "vehicle-updates"], "confidence": 0.8, "step_type": "action", "tools_used": ["post_tweet", "comment"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3c744ae101bf42b0b695c5a0c79b7b95", "memory_type": "task", "when_to_use": "When attempting to interact with external systems or APIs requiring authentication.", "content": "Always verify successful authentication before proceeding with dependent actions. A failure in authentication can cascade, preventing subsequent steps from executing correctly.", "score": 0.0, "time_created": "2025-08-04 07:42:50", "time_modified": "2025-08-04 07:42:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:50", "modified_time": "2025-08-04 07:42:50", "extra_info": {"tags": ["error_prevention", "authentication_failure", "dependency_management"], "confidence": 0.9, "step_type": "action", "tools_used": ["authenticate_twitter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0631fbf3e2884adfb1dfff6f10b6e83c", "memory_type": "task", "when_to_use": "When planning sequential tasks that depend on the output of prior steps.", "content": "Ensure all prerequisite conditions are met and validated before initiating dependent tasks. For example, confirm the existence of a required resource (e.g., tweet_id) before attempting operations that rely on it.", "score": 0.0, "time_created": "2025-08-04 07:42:50", "time_modified": "2025-08-04 07:42:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:42:50", "modified_time": "2025-08-04 07:42:50", "extra_info": {"tags": ["error_prevention", "dependency_chain", "task_validation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["post_tweet", "comment_on_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "56b5bb4317b34a21b950da176876a42f", "memory_type": "task", "when_to_use": "When needing to create and populate a file with specific content in a particular directory.", "content": "The agent successfully navigated to the 'Documents' directory, created a new file called 'summary.txt', and populated it with the phrase 'quantum computing'. This approach worked due to the sequential use of the 'cd' tool to change directories, followed by the 'touch' tool to create the file, and finally the 'echo' tool to write the desired content. The flow was logical and ensured minimal errors while achieving the task efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:06", "time_modified": "2025-08-04 07:43:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:06", "modified_time": "2025-08-04 07:43:06", "extra_info": {"tags": ["file_creation", "directory_navigation", "content_writing"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "touch", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "98cb73a7e9fb4f14b5e687126a494231", "memory_type": "task", "when_to_use": "When verifying the contents or metrics of a recently modified file.", "content": "After writing content to 'summary.txt', the agent used the 'wc' tool to count the words in the file. This step confirmed that the file contained exactly the expected number of words ('quantum computing' = 2 words). This demonstrates the importance of validation steps after file operations to ensure correctness and completeness.", "score": 0.0, "time_created": "2025-08-04 07:43:06", "time_modified": "2025-08-04 07:43:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:06", "modified_time": "2025-08-04 07:43:06", "extra_info": {"tags": ["file_validation", "word_count", "post_action_check"], "confidence": 0.85, "step_type": "observation", "tools_used": ["wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2e84e6db676941908871239f3ec7400c", "memory_type": "task", "when_to_use": "When a task involves checking file existence before performing actions like creating or modifying files, but the tools do not explicitly support existence checks.", "content": "Always attempt to use available tools creatively (e.g., listing directory contents) to infer information indirectly if direct checks are unavailable. Alternatively, clarify with the user whether proceeding without confirmation is acceptable.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "ls", "touch"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "81177d25f55d4de88b14424bae5adf5f", "memory_type": "task", "when_to_use": "When generating sequences of function calls based on incomplete or ambiguous instructions about error handling.", "content": "Ensure that all potential failure points, such as preconditions for safe execution, are addressed either through tool capabilities or explicit clarification requests to avoid unintended consequences.", "score": 0.0, "time_created": "2025-08-04 07:43:04", "time_modified": "2025-08-04 07:43:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:04", "modified_time": "2025-08-04 07:43:04", "extra_info": {"tags": ["error_prevention", "failure_analysis", "sequence_planning"], "confidence": 0.8, "step_type": "decision", "tools_used": ["wc", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ac47858efe3b4fbbabc4810e3b9c07df", "memory_type": "task", "when_to_use": "When determining the distance between two cities for planning purposes.", "content": "The agent successfully identified the zip codes for both San Francisco and Stonebrook, then used these to estimate the road distance. This approach ensures accurate distance calculation by leveraging structured geographic data (zipcodes).", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["distance_calculation", "geographic_data", "planning"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e7c2212870304abfacf61b4dc099aa42", "memory_type": "task", "when_to_use": "When amplifying the reach of a message or announcement on social media.", "content": "After posting an initial tweet about the genealogy journey, the agent retweeted the message to increase visibility. This double-action strategy effectively widens audience engagement and promotes sharing within communities interested in family history.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["social_media", "amplification", "retweet"], "confidence": 0.85, "step_type": "action", "tools_used": ["post_tweet", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "59c0b4859e494895b89fa7e43fb2489b", "memory_type": "task", "when_to_use": "When the task involves multiple sequential API calls, especially where authentication or session status might affect later steps.", "content": "Always verify the login or session status before executing dependent API functions to prevent downstream failures caused by expired or invalid sessions.", "score": 0.0, "time_created": "2025-08-04 07:43:25", "time_modified": "2025-08-04 07:43:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:25", "modified_time": "2025-08-04 07:43:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication", "session_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["ticket_get_login_status", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c4e833fca26946eeb21be871a6bd82f1", "memory_type": "task", "when_to_use": "When planning a series of actions that depend on outputs from previous steps (e.g., retweeting after posting).", "content": "Cross-check tool requirements and ensure all necessary preconditions, such as correct input parameters and valid prior outputs, are met before proceeding with subsequent actions.", "score": 0.0, "time_created": "2025-08-04 07:43:25", "time_modified": "2025-08-04 07:43:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:25", "modified_time": "2025-08-04 07:43:25", "extra_info": {"tags": ["error_prevention", "failure_analysis", "dependency_management", "workflow_design"], "confidence": 0.85, "step_type": "decision", "tools_used": ["post_tweet", "retweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ae43581c29b04a70a149c3d8ef4999fc", "memory_type": "task", "when_to_use": "When handling tasks that require user-provided information (e.g., booking IDs, transaction IDs) to proceed with a function call.", "content": "Always verify the presence of required parameters before initiating processes. If any critical data is missing, inform the user immediately and request clarification or additional details.", "score": 0.0, "time_created": "2025-08-04 07:43:14", "time_modified": "2025-08-04 07:43:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:14", "modified_time": "2025-08-04 07:43:14", "extra_info": {"tags": ["error_prevention", "missing_data", "user_communication"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["purchase_insurance", "retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ca8cf047f8aa40f3ac8179ad933fc1a9", "memory_type": "task", "when_to_use": "When encountering authentication errors while performing actions in systems requiring login credentials.", "content": "Before attempting sensitive operations such as ticket creation, ensure proper authentication by explicitly logging in using provided credentials if necessary. Authentication status should be confirmed prior to proceeding.", "score": 0.0, "time_created": "2025-08-04 07:43:14", "time_modified": "2025-08-04 07:43:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:14", "modified_time": "2025-08-04 07:43:14", "extra_info": {"tags": ["authentication", "error_handling", "login_verification"], "confidence": 0.85, "step_type": "action", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1c630ec330d44099aa21704ff1c87a3b", "memory_type": "task", "when_to_use": "When handling multi-system workflows requiring separate authentication (e.g., travel system vs. ticketing system).", "content": "Always verify whether the user is authenticated in the correct system before proceeding with actions that depend on login status. Avoid assuming token validity across systems.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["error_prevention", "authentication", "cross-system"], "confidence": 0.9, "step_type": "decision", "tools_used": ["ticket_login", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8eda2265b7ca4060a28bc8c0968865f9", "memory_type": "task", "when_to_use": "When creating tickets or resolving issues based on prior communications.", "content": "Ensure all necessary details from previous interactions are explicitly included in subsequent steps, such as support feedback or error messages, to avoid ambiguity.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["error_prevention", "context-preservation", "clarity"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "17d4ff82dbdc4704a015905d297be288", "memory_type": "task", "when_to_use": "When encountering invalid input data like booking IDs during critical operations.", "content": "Validate key inputs early in the process and guide users to correct them before initiating dependent tasks, reducing downstream failures.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["input-validation", "failure_analysis", "user-guidance"], "confidence": 0.85, "step_type": "action", "tools_used": ["purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4c27b613629f46eeb45186bec079d31e", "memory_type": "task", "when_to_use": "When the user requests specific stock information, including price and performance metrics.", "content": "The agent successfully used a two-step process: first identifying the stock symbol using 'get_symbol_by_name', followed by retrieving detailed stock information with 'get_stock_info'. This ensured accurate and relevant data was provided to the user.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["stock_information", "symbol_lookup", "financial_metrics"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d5fa54f3e4d7499c81c5da4a442600f1", "memory_type": "task", "when_to_use": "When the user needs to cancel a pending order or close a ticket.", "content": "The agent efficiently identified the correct tool ('cancel_order' or 'close_ticket') based on the user's request and executed it with the provided identifier (e.g., order_id or ticket_id). The response confirmed the action's success, ensuring clarity and closure for the user.", "score": 0.0, "time_created": "2025-08-04 07:43:27", "time_modified": "2025-08-04 07:43:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:27", "modified_time": "2025-08-04 07:43:27", "extra_info": {"tags": ["order_cancellation", "ticket_closure", "user_request_resolution"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "57f1612a793d4c81b15a8feb326519c7", "memory_type": "task", "when_to_use": "When the user requests specific stock information, including price and performance metrics.", "content": "The agent first used 'get_symbol_by_name' to retrieve the stock symbol for the company in question (Zeta Corp). After obtaining the symbol (ZETA), it called 'get_stock_info' to gather detailed stock data such as current price, percent change, volume, and moving averages. This sequential approach ensured accurate and relevant information was provided to the user efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["stock information", "symbol lookup", "performance metrics"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "18b17e713dc54fdabd43818859a54c39", "memory_type": "task", "when_to_use": "When a user identifies an error in a previous transaction and requests immediate cancellation of a pending order.", "content": "Upon recognizing the error, the agent promptly executed the 'cancel_order' function with the provided order ID (12446). The tool successfully processed the cancellation and returned confirmation that the order status was updated to 'Cancelled.' This direct action avoided any further processing of the erroneous transaction, satisfying the user's request effectively.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["order cancellation", "error correction", "transaction management"], "confidence": 0.85, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "456f10927daf42f8beb965a7207033c5", "memory_type": "task", "when_to_use": "When a user wants to close a previously submitted support ticket due to changes in service preferences or other reasons.", "content": "After confirming the ticket ID from the user (ticket ID 3), the agent executed the 'close_ticket' function. The response confirmed successful closure of the ticket, ensuring the user’s intent to discontinue service was fully addressed. This step reflects clarity in handling customer service-related tasks by directly addressing the user’s need without unnecessary steps.", "score": 0.0, "time_created": "2025-08-04 07:43:34", "time_modified": "2025-08-04 07:43:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:34", "modified_time": "2025-08-04 07:43:34", "extra_info": {"tags": ["ticket management", "service discontinuation", "customer support"], "confidence": 0.8, "step_type": "action", "tools_used": ["close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "91905e7bc30947ac94db196093560782", "memory_type": "task", "when_to_use": "When the task involves file operations requiring multiple steps (e.g., copying files to a new directory), ensure that all necessary tools support the required operations.", "content": "The assistant attempted to use functions like 'find' and 'cp', but these may not have been designed for batch processing or wildcard handling, leading to incomplete execution. Ensure function capabilities align with the complexity of the task.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.85, "step_type": "action", "tools_used": ["find", "cp", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "afa5a3d5df394774998eda0bcb4810d8", "memory_type": "task", "when_to_use": "When encountering multi-step tasks without clear tool support for intermediate outputs (e.g., processing results from one function as input to another), reassess feasibility before proceeding.", "content": "The assistant planned to use 'find' to locate files and then copy them individually, but lacked the ability to process the output of 'find'. This highlights the importance of verifying whether tools can handle sequential dependencies.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_limitations"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["find", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4ea61951fb4347c2afb753a2eea993fc", "memory_type": "task", "when_to_use": "When designing workflows involving directory creation followed by content manipulation, confirm that both steps are fully supported by available tools.", "content": "Creating a new directory ('mkdir') was straightforward, but subsequent actions (copying specific files) were hindered due to missing functionality in 'cp'. Always validate end-to-end workflow compatibility with available tools.", "score": 0.0, "time_created": "2025-08-04 07:43:39", "time_modified": "2025-08-04 07:43:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:39", "modified_time": "2025-08-04 07:43:39", "extra_info": {"tags": ["error_prevention", "failure_analysis", "workflow_design"], "confidence": 0.75, "step_type": "decision", "tools_used": ["mkdir", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "06bb74d47bf948279f00f8a364369f9e", "memory_type": "task", "when_to_use": "When copying files from one directory to another, especially when file existence is uncertain.", "content": "Always verify the presence of target files before proceeding with operations. Use tools like 'find' or 'ls' to confirm that expected files exist in the source directory to avoid unnecessary actions on empty directories.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["find", "mkdir"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9828dec1b00f4da98cecd44266918adf", "memory_type": "task", "when_to_use": "When posting differences between two documents to social media platforms.", "content": "Ensure that meaningful differences are captured and formatted clearly for public readability. Avoid posting if there are no significant differences unless explicitly instructed by the user.", "score": 0.0, "time_created": "2025-08-04 07:43:21", "time_modified": "2025-08-04 07:43:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:21", "modified_time": "2025-08-04 07:43:21", "extra_info": {"tags": ["content_creation", "social_media", "error_prevention"], "confidence": 0.8, "step_type": "action", "tools_used": ["diff", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0e2a5cf8b5e84facb7bf38ca04c85942", "memory_type": "task", "when_to_use": "When preparing to call a function, ensure all required arguments are correctly matched and named according to the API specification.", "content": "Mismatched or unexpected keyword arguments in function calls can lead to execution failures. Always cross-check argument names and structure against the tool's definition before invoking.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["error_prevention", "function_call_validation", "argument_matching"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b58a24616baf46d487a2707507b60665", "memory_type": "task", "when_to_use": "When handling complex workflows involving multiple tools, validate intermediate outputs to ensure downstream steps have accurate inputs.", "content": "Errors in upstream steps (e.g., incorrect cost values) can propagate and cause issues in subsequent actions like booking flights. Intermediate validation ensures smoother execution.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["workflow_validation", "intermediate_check", "failure_analysis"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bdb1c38ef37640a192096e0c36917bfc", "memory_type": "task", "when_to_use": "When constructing messages or communications within an account system, confirm that sender/receiver IDs align with expected formats and pre-existing relationships.", "content": "Sending messages without verifying account IDs or contact statuses can result in communication failures. Ensure all IDs are valid and relevant to the task.", "score": 0.0, "time_created": "2025-08-04 07:43:51", "time_modified": "2025-08-04 07:43:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:51", "modified_time": "2025-08-04 07:43:51", "extra_info": {"tags": ["message_sending", "account_verification", "error_prevention"], "confidence": 0.75, "step_type": "decision", "tools_used": ["send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6bd1062c5fc942b2811ae68c40fa2127", "memory_type": "task", "when_to_use": "When attempting to retrieve an invoice or confirm a booking, ensure that the booking ID is valid and exists in the system before proceeding.", "content": "Always validate critical identifiers such as booking IDs before executing dependent actions. Failure to do so can lead to cascading errors downstream, including inability to retrieve related data or complete tasks.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "booking_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["retrieve_invoice", "contact_customer_support"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9574f87b4bfa467ba79f953422c448ca", "memory_type": "task", "when_to_use": "When switching between different systems (e.g., travel API and message API), verify whether separate authentication steps are required for each system.", "content": "Different APIs may require independent authentication processes even if they belong to the same overarching service. Assuming shared authentication without confirming can result in unauthorized access errors.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "authentication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5515e611bb0476d95bbe84960990e14", "memory_type": "task", "when_to_use": "In cases where multiple tools exist with overlapping functionalities, clarify which tool should be used based on context and available parameters.", "content": "Ambiguity in choosing the correct function due to similar naming conventions or overlapping purposes can lead to incorrect selections. Carefully review parameter requirements and descriptions to match the right tool to the task.", "score": 0.0, "time_created": "2025-08-04 07:43:50", "time_modified": "2025-08-04 07:43:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:50", "modified_time": "2025-08-04 07:43:50", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_selection"], "confidence": 0.75, "step_type": "action", "tools_used": ["compute_exchange_rate", "get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "517d8ec89f7d48218f20ed971958191f", "memory_type": "task", "when_to_use": "When handling booking and immediate cancellation of services with associated support ticket creation.", "content": "The agent successfully executed a sequence involving booking, canceling the booking, and creating a high-priority support ticket to address the cancellation reason. This multi-step pattern ensured both operational tasks (booking/cancellation) and post-action communication (ticket creation) were handled efficiently.", "score": 0.0, "time_created": "2025-08-04 07:43:57", "time_modified": "2025-08-04 07:43:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:57", "modified_time": "2025-08-04 07:43:57", "extra_info": {"tags": ["booking", "cancellation", "support-ticket", "multi-step-execution"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight", "cancel_booking", "create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d7b725f025f3419d9533f24e8294d648", "memory_type": "task", "when_to_use": "When encountering unexpected API parameter errors during function calls.", "content": "Upon receiving an error due to an invalid parameter ('travel_cost'), the agent adjusted the function call by removing the unsupported argument while retaining essential parameters. This demonstrates adaptability in debugging and refining inputs for successful execution.", "score": 0.0, "time_created": "2025-08-04 07:43:57", "time_modified": "2025-08-04 07:43:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:57", "modified_time": "2025-08-04 07:43:57", "extra_info": {"tags": ["error-handling", "parameter-validation", "api-call"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0a1cc44975b4b68aee73ff0a9a69478", "memory_type": "task", "when_to_use": "When encountering unexpected keyword argument errors in function calls", "content": "Always cross-check the actual function implementation against its documented parameters, especially when an error suggests a mismatch between expected and provided arguments. If inconsistencies arise, remove or adjust the problematic parameter based on the function's behavior rather than solely relying on documentation.", "score": 0.0, "time_created": "2025-08-04 07:44:01", "time_modified": "2025-08-04 07:44:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:01", "modified_time": "2025-08-04 07:44:01", "extra_info": {"tags": ["error_prevention", "parameter_mismatch", "function_call_failure"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "981f1a33c50049fc8652754650e6370c", "memory_type": "task", "when_to_use": "When handling user-provided data for critical actions like bookings or cancellations", "content": "Verify all user inputs for accuracy and consistency before executing functions, particularly dates or other time-sensitive information. Discrepancies such as incorrect years (e.g., 2023 vs. 2024) can lead to unintended outcomes or failed operations.", "score": 0.0, "time_created": "2025-08-04 07:44:01", "time_modified": "2025-08-04 07:44:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:01", "modified_time": "2025-08-04 07:44:01", "extra_info": {"tags": ["input_validation", "data_consistency", "failure_analysis"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["create_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23981768cde641dd96042baa17512f4d", "memory_type": "task", "when_to_use": "When a user requests a unit conversion and subsequent actions dependent on the result.", "content": "The agent successfully converted liters to gallons using the 'liter_to_gallon' function, rounded the result to the nearest integer, and then used the 'fillFuelTank' function with the correct amount. This ensured accurate fueling based on the user's request.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["unit_conversion", "fuel_management", "sequential_actions"], "confidence": 0.9, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e6e61ffca88f4dc4989960adad22eb36", "memory_type": "task", "when_to_use": "When multiple preconditions must be met before executing a critical action (e.g., starting an engine).", "content": "The agent identified that doors needed to be locked and the brake pedal pressed before starting the engine. By sequentially calling 'lockDoors', 'pressBrakePedal', and finally 'startEngine', the agent ensured all prerequisites were satisfied, leading to successful engine startup.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["preconditions", "sequential_validation", "engine_start"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f9346c7550d44f80b73878781047dfcb", "memory_type": "task", "when_to_use": "When a user requests additional modifications to a previously completed action (e.g., adding mentions to a tweet).", "content": "After posting a tweet, the user requested to add another mention. The agent correctly used the 'mention' function with the appropriate tweet ID and new username, ensuring the modification was applied without disrupting the original content.", "score": 0.0, "time_created": "2025-08-04 07:44:02", "time_modified": "2025-08-04 07:44:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:02", "modified_time": "2025-08-04 07:44:02", "extra_info": {"tags": ["tweet_modification", "mention_addition", "post_action_updates"], "confidence": 0.8, "step_type": "action", "tools_used": ["mention"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e0d9eb2d68d645e49e0214cb073ea000", "memory_type": "task", "when_to_use": "When attempting to authenticate a user in a ticketing or travel system and the authentication fails multiple times.", "content": "Always validate and confirm that the provided credentials are correct before retrying authentication. Offer clear guidance on checking case sensitivity, ensuring no typos, or using password recovery options if needed.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "authentication_failure", "user_credentials"], "confidence": 0.85, "step_type": "action", "tools_used": ["authenticate_twitter", "ticket_login"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "861adb2477ea421dad973dce185c1260", "memory_type": "task", "when_to_use": "When preparing a vehicle for operation and encountering sequential preconditions (e.g., locking doors, pressing brakes).", "content": "Before starting critical operations like engine ignition, ensure all required conditions (doors locked, brake pressed) are sequentially validated to avoid repeated failures.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "vehicle_start_sequence", "conditional_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3fd6af1c97db4396a494a10785730a35", "memory_type": "task", "when_to_use": "When converting units of measurement (e.g., liters to gallons) for practical tasks such as fuel filling.", "content": "Ensure unit conversions are correctly applied and rounded appropriately to match real-world requirements, avoiding overfill or underfill scenarios.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["unit_conversion", "fuel_management", "precision"], "confidence": 0.8, "step_type": "decision", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8eb025f13b86442092687397f96e7f72", "memory_type": "task", "when_to_use": "When gathering real-time stock information and managing watchlists for a user.", "content": "The sequence involved querying stock data using 'get_symbol_by_name' to retrieve the stock symbol, followed by 'get_stock_info' to obtain price, volume, and performance metrics. Finally, 'add_to_watchlist' was used to update the user's watchlist. This pattern ensures accurate, up-to-date financial data retrieval and seamless integration into user preferences.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["stock-data", "watchlist-management", "real-time-insights"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_symbol_by_name", "get_stock_info", "add_to_watchlist"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b13e0610aedf4972997b81f4a475a57f", "memory_type": "task", "when_to_use": "When handling order cancellation or reviewing transaction details in an investment account.", "content": "The agent first retrieved the order history via 'get_order_history', then extracted specific details with 'get_order_details'. Upon confirming the pending status, 'cancel_order' was invoked to successfully cancel the order. This approach ensures clarity in decision-making and provides users control over their transactions.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["order-management", "transaction-control", "investment-tools"], "confidence": 0.85, "step_type": "decision", "tools_used": ["get_order_history", "get_order_details", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "347540528ed545ef8884d834f9600a71", "memory_type": "task", "when_to_use": "When performing a quick review of a trading account’s balance and linked payment methods.", "content": "Using 'get_account_info', the agent efficiently retrieved key account details such as balance and associated card information. Presenting this data in a structured format allows users to quickly assess their financial standing and take further actions if necessary.", "score": 0.0, "time_created": "2025-08-04 07:44:03", "time_modified": "2025-08-04 07:44:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:03", "modified_time": "2025-08-04 07:44:03", "extra_info": {"tags": ["account-review", "balance-check", "payment-methods"], "confidence": 0.8, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "50961451301d4ff488d5cafd06e30711", "memory_type": "task", "when_to_use": "When handling financial or trading account queries involving balances and associated cards, ensure clarity on the format of sensitive data like card numbers.", "content": "Always confirm whether numeric identifiers (e.g., binding_card) should be presented as integers or formatted strings to meet user expectations and prevent confusion.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["error_prevention", "data_formatting", "user_clarity"], "confidence": 0.85, "step_type": "observation", "tools_used": ["get_account_info"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b0147b3f1964ed1afa73d6bba72a47e", "memory_type": "task", "when_to_use": "In scenarios where multiple tools are available but only one is needed to address the query, verify that no unnecessary tool calls are made.", "content": "Avoid overcomplicating the solution by calling additional functions beyond what is strictly required to fulfill the user’s request.", "score": 0.0, "time_created": "2025-08-04 07:43:55", "time_modified": "2025-08-04 07:43:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:43:55", "modified_time": "2025-08-04 07:43:55", "extra_info": {"tags": ["tool_efficiency", "error_prevention", "focus"], "confidence": 0.8, "step_type": "decision", "tools_used": ["get_account_info", "fund_account", "make_transaction"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5b10a71ed7b746c29b277b33b39fcdef", "memory_type": "task", "when_to_use": "When searching for files or subdirectories with a specific keyword and then performing operations on the found items.", "content": "The sequence began with using the 'find' function to locate all files or subdirectories containing the keyword 'draft'. After identifying the correct file ('summary_draft.docx'), the user navigated into the directory where the file was located using 'cd', ensuring they were in the right context for further operations. Finally, the 'cp' function successfully copied and renamed the file. This step pattern is effective because it ensures proper navigation and context before attempting file operations, reducing errors from incorrect paths.", "score": 0.0, "time_created": "2025-08-04 07:44:12", "time_modified": "2025-08-04 07:44:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:12", "modified_time": "2025-08-04 07:44:12", "extra_info": {"tags": ["file_search", "directory_navigation", "file_operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["find", "cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c7cbec82eb2345319fcf52bcc975a878", "memory_type": "task", "when_to_use": "When encountering a 'file not found' error during file operations.", "content": "After receiving an error that the file 'summary_draft.docx' could not be found, the user identified that they were likely in the wrong directory. By using 'cd' to navigate into the correct directory ('ResearchDocs') and verifying their location, they resolved the issue and successfully completed the copy operation. This highlights the importance of confirming the current working directory and adjusting accordingly when errors arise.", "score": 0.0, "time_created": "2025-08-04 07:44:12", "time_modified": "2025-08-04 07:44:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:12", "modified_time": "2025-08-04 07:44:12", "extra_info": {"tags": ["error_handling", "directory_verification", "file_not_found"], "confidence": 0.85, "step_type": "decision", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ba7a9570bc12492da6e3b086ad34c6b8", "memory_type": "task", "when_to_use": "When navigating directories and needing to copy or move files between different levels of the directory structure.", "content": "Always confirm the current working directory before executing file operations like 'cp' or 'mv'. If the source or destination is not in the current directory, use 'cd' to navigate appropriately. Misalignment between the current directory and intended paths can lead to incorrect actions or errors.", "score": 0.0, "time_created": "2025-08-04 07:44:13", "time_modified": "2025-08-04 07:44:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:13", "modified_time": "2025-08-04 07:44:13", "extra_info": {"tags": ["error_prevention", "directory_navigation", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["cd", "cp", "mv"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "aaae646b3a8644fb92c0934832c87e5c", "memory_type": "task", "when_to_use": "When copying or moving files to a specific directory that isn’t the current working directory.", "content": "If tools like 'cp' or 'mv' do not support specifying full paths for source and destination, ensure you first navigate to the appropriate directory using 'cd'. This avoids issues where the tool cannot locate files due to path restrictions.", "score": 0.0, "time_created": "2025-08-04 07:44:13", "time_modified": "2025-08-04 07:44:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:13", "modified_time": "2025-08-04 07:44:13", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_structure"], "confidence": 0.85, "step_type": "action", "tools_used": ["cd", "cp"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "778c479b85aa4a71bb45632943d59db1", "memory_type": "task", "when_to_use": "When attempting to cancel or modify a ticket in the ticketing system without sufficient information.", "content": "Always confirm and retrieve necessary identifiers (e.g., ticket ID) before initiating operations like closing or resolving tickets. Missing identifiers can lead to incomplete actions or user confusion.", "score": 0.0, "time_created": "2025-08-04 07:44:24", "time_modified": "2025-08-04 07:44:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:24", "modified_time": "2025-08-04 07:44:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "ticket_management"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["close_ticket", "get_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b53313f0cfb54b3ca1cee78b462747ee", "memory_type": "task", "when_to_use": "When handling requests that involve multiple systems or tools with overlapping functionalities.", "content": "Clarify whether the task pertains to one system or another, especially when similar terms (e.g., 'ticket' vs. 'booking') might cause misinterpretation. Cross-check tool parameters to ensure alignment with user intent.", "score": 0.0, "time_created": "2025-08-04 07:44:24", "time_modified": "2025-08-04 07:44:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:24", "modified_time": "2025-08-04 07:44:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "system_clarity"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "4593a85c9a254e6fad4dc6e410ab6536", "memory_type": "task", "when_to_use": "When attempting to cancel a booking or ticket, ensure the correct function and parameters are used.", "content": "Misidentification of tools can lead to incorrect actions. Always verify whether the user is referring to a booking cancellation or a ticket closure, as they may require different functions ('cancel_booking' vs. 'close_ticket').", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_verification"], "confidence": 0.9, "step_type": "decision", "tools_used": ["cancel_booking", "close_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8f0a15dc3a2c421a90ec14d34472ea1b", "memory_type": "task", "when_to_use": "When a required parameter is missing for an action (e.g., ticket ID), prompt the user immediately for clarification.", "content": "Incomplete information leads to execution failure. Always confirm all necessary inputs before proceeding with API calls to avoid unnecessary errors.", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "input_validation", "parameter_check"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "185950e8df5843898253c98f813c3fe4", "memory_type": "task", "when_to_use": "When encountering repeated errors in API calls due to unexpected arguments, cross-check documentation to ensure correct usage.", "content": "Errors like 'unexpected keyword argument' often stem from mismatched parameter names. Regularly refer to tool documentation during planning to align function calls with expected syntax.", "score": 0.0, "time_created": "2025-08-04 07:44:22", "time_modified": "2025-08-04 07:44:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:22", "modified_time": "2025-08-04 07:44:22", "extra_info": {"tags": ["error_prevention", "api_usage", "documentation_check"], "confidence": 0.8, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7472d4766c2444f1b82d5e113c232f73", "memory_type": "task", "when_to_use": "When the vehicle's fuel level is below a critical threshold and requires refueling before starting the engine.", "content": "The agent successfully checked the fuel level, added double the required amount to ensure sufficient fuel was available, and then proceeded to start the engine. This approach ensures that there is enough fuel for immediate departure while avoiding further interruptions due to low fuel.", "score": 0.0, "time_created": "2025-08-04 07:44:27", "time_modified": "2025-08-04 07:44:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:27", "modified_time": "2025-08-04 07:44:27", "extra_info": {"tags": ["fuel_management", "vehicle_preparation", "engine_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["displayCarStatus", "fillFuelTank", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a9127c0704c64166bd4f2cf7f24d8d9e", "memory_type": "task", "when_to_use": "When encountering safety interlocks (e.g., unlocked doors or unpressed brake pedal) preventing engine ignition.", "content": "The agent identified that the engine could not be started due to safety constraints (unlocked doors and unpressed brake pedal). It methodically locked all doors and pressed the brake pedal fully before retrying the engine start. This sequential resolution of interlocks ensured compliance with safety protocols and allowed the engine to start without errors.", "score": 0.0, "time_created": "2025-08-04 07:44:27", "time_modified": "2025-08-04 07:44:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:27", "modified_time": "2025-08-04 07:44:27", "extra_info": {"tags": ["safety_protocol", "interlock_resolution", "engine_start"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e8da39c1dcf645518b971aacb58590d9", "memory_type": "task", "when_to_use": "When handling multiple tasks or requests in a single interaction, especially where tools have overlapping functionality.", "content": "Ensure that each tool call aligns with the user's explicit intent and context. Avoid introducing unrelated actions unless explicitly requested by the user.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "context_management", "tool_usage"], "confidence": 0.9, "step_type": "action", "tools_used": ["check_tire_pressure", "create_ticket", "resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "291bcf8655404147ae7c68b62d517c94", "memory_type": "task", "when_to_use": "When resolving tickets or closing issues based on user feedback.", "content": "Always confirm the exact resolution message or status update required by the user before executing the resolution step to avoid misalignment.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "ticket_management", "user_confirmation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["resolve_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8bbe667c459348bdae39f6ebf33fe3c4", "memory_type": "task", "when_to_use": "When switching between different domains of tools (e.g., vehicle-related vs. travel-related tools).", "content": "Maintain focus on the primary domain of the user query and avoid unnecessary transitions to unrelated toolsets without clear user direction.", "score": 0.0, "time_created": "2025-08-04 07:44:31", "time_modified": "2025-08-04 07:44:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:31", "modified_time": "2025-08-04 07:44:31", "extra_info": {"tags": ["error_prevention", "domain_focus", "task_relevance"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["all_tools_in_sequence"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "58f1a080550d4110a1d63cc9f2259da0", "memory_type": "task", "when_to_use": "When the user requests to cancel a previously placed order and confirmation of the cancellation is required.", "content": "The agent successfully identified the need to cancel an order based on the user’s request. It executed the 'cancel_order' function with the correct order ID and confirmed the cancellation status using the response data. This approach ensures the action aligns with the user's intent and provides immediate feedback, enhancing trust and clarity.", "score": 0.0, "time_created": "2025-08-04 07:44:25", "time_modified": "2025-08-04 07:44:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:25", "modified_time": "2025-08-04 07:44:25", "extra_info": {"tags": ["order management", "cancellation", "user confirmation"], "confidence": 0.9, "step_type": "action", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5cd8216f3cc2454c924fa08dd58d6d26", "memory_type": "task", "when_to_use": "When handling sequential stock trading actions, such as placing and subsequently canceling orders.", "content": "The agent demonstrated effective sequencing by first retrieving stock details, placing an order, and later canceling it upon user request. Each step was executed in logical order, ensuring alignment with market dynamics and user preferences. This pattern helps maintain flexibility and responsiveness in volatile scenarios.", "score": 0.0, "time_created": "2025-08-04 07:44:25", "time_modified": "2025-08-04 07:44:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:25", "modified_time": "2025-08-04 07:44:25", "extra_info": {"tags": ["stock trading", "sequential actions", "adaptability"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "352ae61d68e94ad7aeea8c1284afdae0", "memory_type": "task", "when_to_use": "When attempting to execute a stock trade, ensure that the correct tools and functions are available before proceeding with order placement.", "content": "The absence of crucial stock trading tools like `get_stock_info`, `place_order`, or `cancel_order` led to an incomplete execution flow. Always confirm that all required functions for a task exist within the provided toolset.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["error_prevention", "failure_analysis", "tool_availability"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_stock_info", "place_order", "cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1a473cc19c544744b637606ac07053c8", "memory_type": "task", "when_to_use": "When designing workflows involving multi-step actions (e.g., placing and canceling orders), validate each step's dependencies and potential missing links beforehand.", "content": "A recurring issue was reliance on non-existent or improperly mapped functions during essential steps, causing disruptions in logical flow. Ensure every function call corresponds accurately to documented capabilities.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["workflow_design", "dependency_check", "function_mapping"], "confidence": 0.85, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d418208c153a474aa86e7aaf03fde67d", "memory_type": "task", "when_to_use": "During decision-making steps where external conditions change rapidly (like market dynamics), consider fallback strategies if primary actions cannot be completed.", "content": "In cases where users decide to reverse their initial intent (e.g., canceling an order due to shifting market conditions), having contingency plans ensures smoother transitions without abrupt failures.", "score": 0.0, "time_created": "2025-08-04 07:44:37", "time_modified": "2025-08-04 07:44:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:37", "modified_time": "2025-08-04 07:44:37", "extra_info": {"tags": ["contingency_planning", "dynamic_conditions", "decision_making"], "confidence": 0.8, "step_type": "decision", "tools_used": ["cancel_order"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc51cb59fad548db95a0bdc7f46d3168", "memory_type": "task", "when_to_use": "When starting a vehicle and encountering an error due to safety mechanisms like the brake pedal not being pressed.", "content": "The agent first attempted to start the engine but received an error indicating that the brake pedal needed to be pressed. The agent then correctly identified and executed the necessary step of pressing the brake pedal before retrying to start the engine, which led to a successful outcome.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["vehicle-start", "error-handling", "safety-mechanisms"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "929343df28c3437f91dea75b822db271", "memory_type": "task", "when_to_use": "When communicating results or updates to another user after completing a task.", "content": "After successfully computing the distance between two cities, the agent relayed the information to the specified colleague (Emma) using her user ID. This ensured clear communication and proper documentation of the shared information.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["communication", "user-interaction", "message-sending"], "confidence": 0.85, "step_type": "action", "tools_used": ["get_user_id", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "79635d5d82274747bc58ec0ce34963bc", "memory_type": "task", "when_to_use": "When attempting to start an engine and the initial attempt fails due to missing prerequisites like pressing the brake pedal.", "content": "Always verify all preconditions for a task before execution, especially when dealing with systems that have interdependent components (e.g., vehicle systems requiring brake engagement).", "score": 0.0, "time_created": "2025-08-04 07:44:32", "time_modified": "2025-08-04 07:44:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:32", "modified_time": "2025-08-04 07:44:32", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start", "vehicle_systems"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "987b439036b44ffa8c565a5af615a8c6", "memory_type": "task", "when_to_use": "When managing multiple tools or APIs to complete complex workflows involving user-specific data.", "content": "Ensure clarity in distinguishing between self-referential actions (e.g., messages sent to oneself) and external interactions to avoid confusion during result presentation.", "score": 0.0, "time_created": "2025-08-04 07:44:32", "time_modified": "2025-08-04 07:44:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:32", "modified_time": "2025-08-04 07:44:32", "extra_info": {"tags": ["workflow_management", "user_data", "message_handling"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "24070309e5d64bdea476b81e87452947", "memory_type": "task", "when_to_use": "When booking a flight and additional services (e.g., insurance) using the same payment method, ensure all required parameters are validated before invoking subsequent API calls.", "content": "The agent successfully booked a flight by first validating the cost using 'get_flight_cost' and then calling 'book_flight'. For the insurance purchase, the agent reused the same credit card and access token while ensuring all required parameters were included for 'purchase_insurance'. This step pattern ensures continuity and avoids errors due to missing arguments.", "score": 0.0, "time_created": "2025-08-04 07:44:43", "time_modified": "2025-08-04 07:44:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:43", "modified_time": "2025-08-04 07:44:43", "extra_info": {"tags": ["flight_booking", "insurance_purchase", "payment_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_flight_cost", "book_flight", "purchase_insurance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7887e5ca014a4e75ac4623b73b72f666", "memory_type": "task", "when_to_use": "When encountering an unexpected keyword argument error during an API call, use a related function to fetch missing data dynamically.", "content": "In the initial attempt to book the flight, the agent encountered an error due to the unexpected keyword 'travel_cost'. Instead of failing, the agent used 'get_flight_cost' to fetch the correct cost dynamically and then retried the booking with accurate parameters. This approach demonstrates adaptability and robust error handling.", "score": 0.0, "time_created": "2025-08-04 07:44:43", "time_modified": "2025-08-04 07:44:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:43", "modified_time": "2025-08-04 07:44:43", "extra_info": {"tags": ["error_handling", "dynamic_data_fetching", "API_call"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "12d94dbde4cf4c88a7088cae9a569b1f", "memory_type": "task", "when_to_use": "When interacting with APIs where the function signature is not fully understood or documented.", "content": "Always verify the exact parameter names and requirements of an API function before invoking it to avoid unexpected keyword argument errors.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["error_prevention", "api_usage", "parameter_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "0692ad78970143b1a53f8fdebbbeaad9", "memory_type": "task", "when_to_use": "When a previous step in a sequence fails, but subsequent steps depend on its output.", "content": "Before proceeding with dependent tasks (e.g., purchasing insurance), ensure all prerequisite actions (e.g., flight booking) were successful and necessary outputs (e.g., booking_id) are available.", "score": 0.0, "time_created": "2025-08-04 07:44:38", "time_modified": "2025-08-04 07:44:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:38", "modified_time": "2025-08-04 07:44:38", "extra_info": {"tags": ["error_prevention", "dependency_management", "failure_analysis"], "confidence": 0.85, "step_type": "decision", "tools_used": ["purchase_insurance", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9b29858ceb2643bf86d9a32d56bb4559", "memory_type": "task", "when_to_use": "When the user requests a specific action requiring unit conversion (e.g., liters to gallons) before proceeding.", "content": "The agent first converted the requested amount from liters to gallons using a dedicated tool, then executed the subsequent action (filling the fuel tank) with precision. This ensured accuracy and alignment with the user's request while maintaining clarity in communication.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["unit_conversion", "sequential_action", "precision"], "confidence": 0.9, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1513104db26a4b4cb19b40e2a1fe1980", "memory_type": "task", "when_to_use": "When encountering interdependent preconditions for an action (e.g., starting a car engine requires locked doors and pressed brake).", "content": "The agent identified and addressed each precondition sequentially by locking doors and pressing the brake pedal before attempting to start the engine. This methodical approach ensured all requirements were met, preventing errors and enhancing user satisfaction.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["preconditions", "sequential_dependencies", "error_prevention"], "confidence": 0.85, "step_type": "decision", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "23de5c7707b34bd29cc5fc6026a5aebe", "memory_type": "task", "when_to_use": "When investigating potential causes of a reported issue (e.g., vibration during driving).", "content": "The agent checked tire pressure as a plausible cause of the vibration, analyzed the results, and provided both immediate feedback and additional suggestions (e.g., wheel balance or alignment). This holistic approach reassured the user and guided further troubleshooting if needed.", "score": 0.0, "time_created": "2025-08-04 07:44:58", "time_modified": "2025-08-04 07:44:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:58", "modified_time": "2025-08-04 07:44:58", "extra_info": {"tags": ["diagnostics", "root_cause_analysis", "user_reassurance"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "44363cb5669849398feab8f20bae6dab", "memory_type": "task", "when_to_use": "When handling vehicle operations that require multiple preconditions (e.g., starting the engine), ensure all prerequisites are met before proceeding.", "content": "Always verify and address any system constraints or requirements, such as locked doors, before executing actions like engine ignition to avoid cascading errors.", "score": 0.0, "time_created": "2025-08-04 07:44:57", "time_modified": "2025-08-04 07:44:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:57", "modified_time": "2025-08-04 07:44:57", "extra_info": {"tags": ["error_prevention", "failure_analysis", "vehicle_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "389f231d3c994576aa24ed6c356ebe50", "memory_type": "task", "when_to_use": "When addressing user concerns about potential mechanical issues (e.g., vibrations) after completing a task (e.g., refueling).", "content": "Before attributing symptoms to one cause (e.g., tire pressure), systematically evaluate other possible factors and cross-check with available diagnostics to provide comprehensive feedback.", "score": 0.0, "time_created": "2025-08-04 07:44:57", "time_modified": "2025-08-04 07:44:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:57", "modified_time": "2025-08-04 07:44:57", "extra_info": {"tags": ["error_prevention", "failure_analysis", "diagnostics"], "confidence": 0.8, "step_type": "decision", "tools_used": ["check_tire_pressure"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bd8fc7d3beba41bbadde040d0d07f3dc", "memory_type": "task", "when_to_use": "When deleting a directory and its contents, but lacking tools to list or iterate through files.", "content": "If the function description does not explicitly confirm recursive deletion of non-empty directories, assume it cannot. Attempting such operations without confirmation can lead to incomplete tasks or unexpected errors.", "score": 0.0, "time_created": "2025-08-04 07:44:51", "time_modified": "2025-08-04 07:44:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:51", "modified_time": "2025-08-04 07:44:51", "extra_info": {"tags": ["error_prevention", "failure_analysis", "directory_deletion"], "confidence": 0.85, "step_type": "action", "tools_used": ["rm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "68aa94cca9994bdf95ae2cde5e6cee25", "memory_type": "task", "when_to_use": "When the task involves multiple dependent actions (e.g., deleting files before deleting a directory) but available tools don't support listing items.", "content": "In cases where intermediate steps cannot be executed due to missing functionality, re-evaluate whether the task can be completed with the given toolset. Communicate limitations to the user early to avoid unmet expectations.", "score": 0.0, "time_created": "2025-08-04 07:44:51", "time_modified": "2025-08-04 07:44:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:51", "modified_time": "2025-08-04 07:44:51", "extra_info": {"tags": ["error_prevention", "tool_limitations", "task_dependency"], "confidence": 0.8, "step_type": "reasoning", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8aa92a2f40ea4cadb464420bdb0a26dd", "memory_type": "task", "when_to_use": "When deleting a directory and its contents, but the tools available do not explicitly support recursive deletion.", "content": "Ensure that the tool's functionality matches the intended operation. If the tool description does not clearly specify whether a function can handle recursive deletions, consider breaking down the task into smaller steps (e.g., listing files first, then deleting them individually) to avoid potential failures.", "score": 0.0, "time_created": "2025-08-04 07:45:05", "time_modified": "2025-08-04 07:45:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:05", "modified_time": "2025-08-04 07:45:05", "extra_info": {"tags": ["error_prevention", "failure_analysis", "directory_deletion"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["rm", "find", "ls"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b714ae10e79e4feb91d0cef215de39fb", "memory_type": "task", "when_to_use": "When relying on ambiguous or incomplete tool documentation for critical operations such as file system manipulations.", "content": "Always validate assumptions about tool behavior by checking whether the provided functions are capable of performing complex tasks like recursive directory deletion. When in doubt, use alternative approaches that guarantee step-by-step execution rather than assuming implicit functionality.", "score": 0.0, "time_created": "2025-08-04 07:45:05", "time_modified": "2025-08-04 07:45:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:05", "modified_time": "2025-08-04 07:45:05", "extra_info": {"tags": ["tool_validation", "failure_analysis", "ambiguous_documentation"], "confidence": 0.8, "step_type": "decision", "tools_used": ["rm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "43edcd4a7de94448b1d56591818790da", "memory_type": "task", "when_to_use": "When needing to assess and update ticket priority based on external file metrics.", "content": "The sequence involved checking the character count of relevant files, then updating the ticket's priority accordingly. This ensures that decisions about task urgency are data-driven and tied directly to measurable criteria (e.g., file size).", "score": 0.0, "time_created": "2025-08-04 07:45:06", "time_modified": "2025-08-04 07:45:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:06", "modified_time": "2025-08-04 07:45:06", "extra_info": {"tags": ["ticket-management", "file-analysis", "priority-setting"], "confidence": 0.9, "step_type": "decision", "tools_used": ["get_ticket", "edit_ticket", "wc"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a0f17fbf45e24172806e55ced4519516", "memory_type": "task", "when_to_use": "When navigating directories and searching for specific files with certain naming patterns.", "content": "The agent successfully navigated into a directory ('test') and identified all files containing 'test' in their names using appropriate commands like 'ls' and 'find'. This approach is efficient for targeted file discovery in nested folder structures.", "score": 0.0, "time_created": "2025-08-04 07:45:06", "time_modified": "2025-08-04 07:45:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:06", "modified_time": "2025-08-04 07:45:06", "extra_info": {"tags": ["file-navigation", "directory-traversal", "file-search"], "confidence": 0.85, "step_type": "action", "tools_used": ["ls", "cd", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3ca0ad30087f40f980eaca3d9cb37ee2", "memory_type": "task", "when_to_use": "When handling ambiguous user instructions that involve multiple steps or conditions.", "content": "Break down multi-part tasks into explicit, sequential sub-tasks and verify each condition before proceeding to the next step. Ambiguity in interpreting 'any' or 'all' can lead to incorrect conclusions.", "score": 0.0, "time_created": "2025-08-04 07:45:03", "time_modified": "2025-08-04 07:45:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:03", "modified_time": "2025-08-04 07:45:03", "extra_info": {"tags": ["error_prevention", "failure_analysis", "task_breakdown"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_ticket", "wc", "edit_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2a8e8825538441c3916fad1e7cdda5f9", "memory_type": "task", "when_to_use": "When needing to update system parameters (e.g., ticket priority) based on external data checks (e.g., file counts, character counts).", "content": "Always validate all relevant data points before making updates to avoid premature or incorrect actions. Ensure all necessary information is gathered before modifying system states.", "score": 0.0, "time_created": "2025-08-04 07:45:03", "time_modified": "2025-08-04 07:45:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:03", "modified_time": "2025-08-04 07:45:03", "extra_info": {"tags": ["error_prevention", "data_validation", "system_updates"], "confidence": 0.8, "step_type": "decision", "tools_used": ["wc", "edit_ticket"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "bfb10105da17441c8152de8a70fddfc2", "memory_type": "task", "when_to_use": "When a user needs to delete the latest message sent to a specific receiver but encounters an error due to incorrect parameter usage.", "content": "After identifying that the function does not accept 'message_id' as a parameter, calling delete_message with only the receiver_id successfully deleted the latest message. This highlights the importance of aligning function calls with actual API parameter requirements rather than relying solely on documentation.", "score": 0.0, "time_created": "2025-08-04 07:44:54", "time_modified": "2025-08-04 07:44:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:54", "modified_time": "2025-08-04 07:44:54", "extra_info": {"tags": ["error handling", "parameter mismatch", "message deletion"], "confidence": 0.9, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f55c7e8c99c445bb9066b7daa53f78a8", "memory_type": "task", "when_to_use": "When troubleshooting unexpected keyword argument errors in API calls.", "content": "Upon encountering an error about an unexpected keyword argument ('message_id'), re-evaluating the function's actual implementation and adjusting the call to exclude the problematic parameter resolved the issue. This demonstrates the utility of iterative testing and refining tool usage based on runtime feedback.", "score": 0.0, "time_created": "2025-08-04 07:44:54", "time_modified": "2025-08-04 07:44:54", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:44:54", "modified_time": "2025-08-04 07:44:54", "extra_info": {"tags": ["API debugging", "runtime error", "parameter refinement"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "241ba560aab4467885cf3dab66d66ae5", "memory_type": "task", "when_to_use": "When attempting to delete a message using the `delete_message` function and encountering unexpected keyword argument errors.", "content": "Verify that all parameters passed to a function match its expected signature. If an error persists despite correct usage, reassess whether the tool's documentation accurately reflects its implementation or if alternative methods exist for achieving the desired outcome.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["error_prevention", "failure_analysis", "parameter_validation"], "confidence": 0.85, "step_type": "action", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6a822f5ff86a43af85b9b32fe7fbb05d", "memory_type": "task", "when_to_use": "When a tool fails due to mismatched parameter expectations (e.g., positional vs. keyword arguments).", "content": "Cross-check the actual function implementation against its documented interface. If discrepancies are found, adapt the call format accordingly or escalate the issue for clarification/documentation updates.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["tool_misuse", "implementation_discrepancy", "debugging"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["delete_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "118ad6ab472b421bac3d98afb922194f", "memory_type": "task", "when_to_use": "When critical actions like deleting messages fail repeatedly, explore fallback strategies such as manual communication with stakeholders.", "content": "In cases where automated tools cannot resolve issues, consider human intervention or alternate workflows to mitigate potential impacts on user goals.", "score": 0.0, "time_created": "2025-08-04 07:45:08", "time_modified": "2025-08-04 07:45:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:08", "modified_time": "2025-08-04 07:45:08", "extra_info": {"tags": ["fallback_strategy", "user_communication", "workflow_adaptation"], "confidence": 0.75, "step_type": "decision", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c32bbf1afac7454ba24b0a31c00d696f", "memory_type": "task", "when_to_use": "When ensuring vehicle readiness for a journey, especially involving tire pressure checks and adjustments.", "content": "The agent first checked the tire pressure using 'check_tire_pressure'. Upon identifying that the rear tires were under the optimal threshold of 30.0 psi, it located the nearest tire shop with 'find_nearest_tire_shop' and set navigation to the shop using 'set_navigation'. This ensured the user could address the issue promptly.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["vehicle-readiness", "tire-pressure", "navigation"], "confidence": 0.9, "step_type": "action", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop", "set_navigation"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e28b83d61d464ff999f6dc1520324840", "memory_type": "task", "when_to_use": "When preparing to start the engine but encountering sequential preconditions like locking doors and pressing the brake pedal.", "content": "The agent attempted to start the engine using 'startEngine', but encountered an error indicating the doors needed to be locked. It used 'lockDoors' to secure all doors, then handled another error about the brake pedal by engaging 'pressBrakePedal'. After these steps, the engine started successfully. This highlights the importance of addressing all safety protocols sequentially.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["engine-start", "safety-protocols", "sequential-actions"], "confidence": 0.85, "step_type": "decision", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "128a9732c2134c9282219fa36b30518b", "memory_type": "task", "when_to_use": "When refueling the vehicle and needing to convert fuel capacity into different units (e.g., gallons to liters).", "content": "After checking the fuel level with 'displayCarStatus', the agent filled the tank to its maximum capacity using 'fillFuelTank'. To provide additional information, it converted the fuel amount from gallons to liters using 'gallon_to_liter'. This provided a complete picture of the vehicle's fuel status in both units.", "score": 0.0, "time_created": "2025-08-04 07:45:26", "time_modified": "2025-08-04 07:45:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:26", "modified_time": "2025-08-04 07:45:26", "extra_info": {"tags": ["fuel-management", "unit-conversion", "vehicle-preparation"], "confidence": 0.8, "step_type": "action", "tools_used": ["displayCarStatus", "fillFuelTank", "gallon_to_liter"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "c6d6f9e475c444a69aea6a9e59992083", "memory_type": "task", "when_to_use": "When preparing to start the engine after ensuring all safety measures are addressed.", "content": "Always verify that all preconditions, such as locked doors and pressed brake pedals, are met before attempting to start the engine. Failure to do so will result in errors.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "failure_analysis", "engine_start"], "confidence": 0.9, "step_type": "action", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "42a52ca3dbe34b2d9e6ebca9ba0bf477", "memory_type": "task", "when_to_use": "When interpreting user intent for starting the engine after it has already been started.", "content": "Clarify whether restarting the engine is necessary if the user requests to 'ignite' or 'start' the car again. Confirm the current engine state to avoid redundant actions.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "user_intent", "redundant_actions"], "confidence": 0.8, "step_type": "decision", "tools_used": ["displayCarStatus", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ab07c060ac74406ca3d6316f018a7ae0", "memory_type": "task", "when_to_use": "When managing sequential tasks involving multiple vehicle systems.", "content": "Ensure proper sequencing of operations by checking dependencies between tools (e.g., locking doors before starting the engine). Skipping steps can lead to cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:45:24", "time_modified": "2025-08-04 07:45:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:24", "modified_time": "2025-08-04 07:45:24", "extra_info": {"tags": ["error_prevention", "task_sequencing", "dependencies"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop", "set_navigation", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "d1de161bf2194394b2833da280ba772a", "memory_type": "task", "when_to_use": "When handling multi-step tasks that require sequential preconditions to be met before reaching the primary goal.", "content": "The agent successfully navigated through a series of dependent actions, ensuring prerequisites such as locking doors and pressing the brake pedal were completed prior to starting the engine. This step-by-step validation ensured no errors occurred during execution and allowed for clear tracking of progress.", "score": 0.0, "time_created": "2025-08-04 07:45:28", "time_modified": "2025-08-04 07:45:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:28", "modified_time": "2025-08-04 07:45:28", "extra_info": {"tags": ["multi-step", "sequential-dependencies", "task-validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "619493528f8a4ec8b934fb324cb04d78", "memory_type": "task", "when_to_use": "When needing to retrieve specific system statuses or configurations after completing an operation.", "content": "After successfully starting the engine, the agent retrieved detailed status information (e.g., battery voltage, fan speed) by using appropriate diagnostic functions. This approach ensures comprehensive reporting and meets user expectations effectively.", "score": 0.0, "time_created": "2025-08-04 07:45:28", "time_modified": "2025-08-04 07:45:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:28", "modified_time": "2025-08-04 07:45:28", "extra_info": {"tags": ["status-retrieval", "post-operation-checks", "detailed-reporting"], "confidence": 0.85, "step_type": "observation", "tools_used": ["displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "f8b6063cd78444ecb55072e43b47bef3", "memory_type": "task", "when_to_use": "When the task involves multiple sequential actions that depend on preconditions or system states.", "content": "Always verify and address all prerequisites before attempting a key action, such as ensuring doors are locked and the brake pedal is pressed before starting an engine. Missing these steps can cause cascading failures.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "failure_analysis", "prerequisites"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors", "pressBrakePedal"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1c4ce70e193f4fa1aa39a69a9ed18aa3", "memory_type": "task", "when_to_use": "When converting between units of measurement for critical tasks like fuel refills.", "content": "Ensure conversions (e.g., liters to gallons) are handled accurately and rounded appropriately based on user requirements to avoid miscommunication or errors in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "unit_conversion", "precision"], "confidence": 0.85, "step_type": "action", "tools_used": ["liter_to_gallon", "fillFuelTank"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ce070005a2cd47c7945768481e8765c1", "memory_type": "task", "when_to_use": "When interpreting ambiguous terms in user requests (e.g., 'AC speed').", "content": "Clarify with the user or infer from available tools whether a term refers to a specific parameter (e.g., fanSpeed). Misinterpretation can lead to incomplete or incorrect responses.", "score": 0.0, "time_created": "2025-08-04 07:45:23", "time_modified": "2025-08-04 07:45:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:23", "modified_time": "2025-08-04 07:45:23", "extra_info": {"tags": ["error_prevention", "ambiguity_resolution", "user_communication"], "confidence": 0.8, "step_type": "decision", "tools_used": ["displayCarStatus"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "b1f560b2b281461686e5f8e9cb3225ce", "memory_type": "task", "when_to_use": "When navigating directories and encountering 'No such directory' errors despite expecting the directory to exist.", "content": "Always verify the current working directory using 'pwd' before attempting directory changes. Misaligned expectations about the current directory can lead to cascading failures in subsequent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "directory_navigation", "current_working_directory"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["cd", "pwd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ba7c309163434e0c9ac6554e8ebd2118", "memory_type": "task", "when_to_use": "When moving files and receiving 'No such file or directory' errors, despite believing the file exists.", "content": "Before executing file operations, confirm the presence of the target file using 'ls' or 'find'. Missing files are a common cause of failure when the expected directory structure is incorrect or misaligned with the agent's assumptions.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "file_verification", "directory_structure"], "confidence": 0.85, "step_type": "action", "tools_used": ["mv", "ls", "find"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "456f5bd198e1419d9d0126d5dcb19674", "memory_type": "task", "when_to_use": "When attempting to perform operations on files located in subdirectories but encountering access issues.", "content": "Tool limitations often restrict operations to the current directory only. Ensure all necessary files are moved to or created in the current directory before performing operations like 'diff', 'grep', or 'sort'. Attempting cross-directory operations without confirming tool capabilities leads to predictable failures.", "score": 0.0, "time_created": "2025-08-04 07:45:36", "time_modified": "2025-08-04 07:45:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:36", "modified_time": "2025-08-04 07:45:36", "extra_info": {"tags": ["error_prevention", "tool_limitations", "file_operations"], "confidence": 0.8, "step_type": "decision", "tools_used": ["diff", "grep", "sort", "mv"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e6e443ea1ab441aaac8545f7a3f72141", "memory_type": "task", "when_to_use": "When handling file operations such as moving files between directories, ensure the correct directory structure and current working directory are verified before executing commands.", "content": "Always confirm the current working directory and existence of target subdirectories to prevent 'file not found' or 'directory not found' errors during file operations.", "score": 0.0, "time_created": "2025-08-04 07:45:25", "time_modified": "2025-08-04 07:45:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:25", "modified_time": "2025-08-04 07:45:25", "extra_info": {"tags": ["error_prevention", "file_operations", "directory_structure"], "confidence": 0.9, "step_type": "action", "tools_used": ["mv", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "726e4dc189644ff78f91e6c410188b46", "memory_type": "task", "when_to_use": "When comparing files using tools like 'diff', ensure both files reside in the same directory or adjust the current working directory accordingly.", "content": "Comparison functions require files to be accessible in the current working directory; neglecting to change directories may lead to incorrect tool usage or errors.", "score": 0.0, "time_created": "2025-08-04 07:45:25", "time_modified": "2025-08-04 07:45:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:25", "modified_time": "2025-08-04 07:45:25", "extra_info": {"tags": ["error_prevention", "file_comparison", "working_directory"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["diff", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ecae2a635962407394b7afc8b3cdb9b3", "memory_type": "task", "when_to_use": "When handling multi-step user requests involving external API calls with interdependent parameters.", "content": "The assistant successfully navigated a complex sequence of actions by first retrieving the flight cost using get_flight_cost, then proceeding to book the flight. Despite an unexpected error regarding the 'travel_cost' parameter during the initial booking attempt, the assistant adapted by omitting the parameter and successfully completed the booking. The cancellation and subsequent tweet posting were handled seamlessly. This demonstrates adaptability in addressing runtime errors while maintaining the logical flow of dependent steps.", "score": 0.0, "time_created": "2025-08-04 07:45:30", "time_modified": "2025-08-04 07:45:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:30", "modified_time": "2025-08-04 07:45:30", "extra_info": {"tags": ["multi-step", "API", "error-handling", "parameter-validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["get_flight_cost", "book_flight", "cancel_booking", "authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7e5757a580ad419f963ce6a7feb80aca", "memory_type": "task", "when_to_use": "When encountering discrepancies between tool documentation and actual function behavior.", "content": "The assistant encountered an error where the documented required parameter 'travel_cost' was not accepted by the book_flight function. By analyzing the error and testing the function without the parameter, the assistant resolved the issue. This highlights the importance of validating tool behavior against documentation and adjusting dynamically when inconsistencies arise.", "score": 0.0, "time_created": "2025-08-04 07:45:30", "time_modified": "2025-08-04 07:45:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:30", "modified_time": "2025-08-04 07:45:30", "extra_info": {"tags": ["tool-discrepancy", "error-resolution", "dynamic-adjustment"], "confidence": 0.85, "step_type": "decision", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ebe3de32100d419bb917b623eef0c25b", "memory_type": "task", "when_to_use": "When handling multi-step tasks involving external tools where intermediate outputs are required for subsequent steps.", "content": "Always verify that all necessary parameters are provided or can be derived before initiating a sequence of actions. If a parameter like 'travel_cost' is missing, ensure there's a clear path to obtaining it (e.g., via a preceding function call).", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["error_prevention", "parameter_validation", "multi_step_tasks"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_flight_cost", "book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8b2155633f144923a09fa20bee76017c", "memory_type": "task", "when_to_use": "When the user's request involves canceling an action they just requested, such as booking and then canceling a flight.", "content": "Ensure clarity in whether the initial action (booking) has already been executed before attempting its reversal (cancellation). If not explicitly stated, confirm with the user or proceed with caution by executing the booking first, capturing any required identifiers, and then performing the cancellation.", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["error_prevention", "action_reversal", "user_clarity"], "confidence": 0.8, "step_type": "decision", "tools_used": ["book_flight", "cancel_booking"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "346be39f92ae40a5bdba986787fa8233", "memory_type": "task", "when_to_use": "When integrating multiple external systems requiring authentication (e.g., Twitter and travel systems).", "content": "Prioritize authenticating each system before executing dependent functions. Ensure credentials are correctly passed and validated to avoid downstream failures during task execution.", "score": 0.0, "time_created": "2025-08-04 07:45:45", "time_modified": "2025-08-04 07:45:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:45", "modified_time": "2025-08-04 07:45:45", "extra_info": {"tags": ["authentication", "integration", "external_systems"], "confidence": 0.85, "step_type": "action", "tools_used": ["authenticate_twitter", "post_tweet"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5c7b3386acae4f259a1ad888c3ad1550", "memory_type": "task", "when_to_use": "When needing to locate a specific file in a directory and extract relevant information from it.", "content": "The agent successfully navigated to the 'ResearchDocs' directory using `cd`, located the file 'report.csv' with `find`, then used `grep` to extract lines containing 'Quarterly Financial Overview'. This sequence demonstrates effective use of chaining commands to refine search results and focus on specific content within files, ensuring precision and efficiency.", "score": 0.0, "time_created": "2025-08-04 07:45:50", "time_modified": "2025-08-04 07:45:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:50", "modified_time": "2025-08-04 07:45:50", "extra_info": {"tags": ["file_search", "directory_navigation", "content_extraction"], "confidence": 0.9, "step_type": "action", "tools_used": ["cd", "find", "grep"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a3c3569023764638bfa2abf145465914", "memory_type": "task", "when_to_use": "When required to add a new contact and send them a message after completing a task.", "content": "After locating and reviewing the necessary file, the agent logged in as USR001, added 'John Levy' as a new contact via `add_contact`, and subsequently sent him a message about the latest quarter's performance using `send_message`. This highlights the importance of correctly handling sequential dependencies (e.g., obtaining the receiver's user ID before sending a message) and maintaining clarity in multi-step workflows.", "score": 0.0, "time_created": "2025-08-04 07:45:50", "time_modified": "2025-08-04 07:45:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:50", "modified_time": "2025-08-04 07:45:50", "extra_info": {"tags": ["contact_management", "messaging", "task_completion"], "confidence": 0.85, "step_type": "action", "tools_used": ["message_login", "add_contact", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "3e8466f6027840fd8a94eab1e4c88a88", "memory_type": "task", "when_to_use": "When chaining multiple dependent actions requiring output from previous steps (e.g., adding a contact and using their user ID).", "content": "Always validate that outputs from prior steps (such as user IDs) are correctly passed into subsequent actions to avoid mismatched or incorrect inputs.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["error_prevention", "dependency_management", "input_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["add_contact", "send_message"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "173ac97e34dc4d999558a34e12cc2cfd", "memory_type": "task", "when_to_use": "When executing commands involving file navigation or content extraction, ensure proper tool selection based on the task requirements.", "content": "Ensure that tools like 'cd', 'find', 'grep', and 'tail' are used appropriately for directory navigation, file discovery, pattern matching, and line extraction respectively to prevent misaligned operations.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["tool_usage", "command_structure", "file_operations"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["cd", "find", "grep", "tail"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "47e77d0fbdfb497c83c84fafb98e37b8", "memory_type": "task", "when_to_use": "When performing multi-step workflows with authentication dependencies (e.g., logging in before other actions).", "content": "Verify successful completion of prerequisite steps (like login status checks) before proceeding to dependent tasks to maintain workflow integrity.", "score": 0.0, "time_created": "2025-08-04 07:45:51", "time_modified": "2025-08-04 07:45:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:51", "modified_time": "2025-08-04 07:45:51", "extra_info": {"tags": ["authentication", "workflow_integrity", "step_dependencies"], "confidence": 0.8, "step_type": "decision", "tools_used": ["message_login", "add_contact"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a1bde5e9164c49549dd1338557ffb09d", "memory_type": "task", "when_to_use": "When needing to compare two files and save the differences into a new file.", "content": "The agent first used 'diff' to identify line-by-line differences between two files. Then it utilized 'echo' to write those differences into a newly created file, ensuring proper formatting and preservation of newline characters. This sequential approach efficiently captures and stores file differences for further use.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["file comparison", "difference extraction", "content writing"], "confidence": 0.9, "step_type": "action", "tools_used": ["diff", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "cc34f2cba6b7486f83dd7bdcc1ae3b7c", "memory_type": "task", "when_to_use": "When navigating directories and retrieving specific file content.", "content": "The agent successfully navigated to the target directory using 'cd', listed the contents with 'ls' to identify relevant files, and then used 'tail' to extract the last line from the specified file. This pattern ensures accurate navigation and retrieval of targeted file content.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["directory navigation", "file listing", "content extraction"], "confidence": 0.85, "step_type": "action", "tools_used": ["cd", "ls", "tail"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "68b2f707e77448ea8e830c0843c7972c", "memory_type": "task", "when_to_use": "When navigating directories and interacting with files, ensure the correct file names are referenced based on the current working directory's content.", "content": "Always verify the current directory's contents using 'ls' or similar tools before performing operations on files to avoid referencing non-existent or incorrect files.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "file_operations"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["ls", "cd"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "25da03ce4e834920920372b9ffc8cf42", "memory_type": "task", "when_to_use": "When performing multi-step operations involving file creation or writing differences into a new file, validate intermediate outputs to ensure data integrity.", "content": "After each operation (e.g., diff), explicitly check its output before proceeding to dependent steps (e.g., echo) to prevent propagating errors or missing data.", "score": 0.0, "time_created": "2025-08-04 07:45:53", "time_modified": "2025-08-04 07:45:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:53", "modified_time": "2025-08-04 07:45:53", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_integrity"], "confidence": 0.85, "step_type": "observation", "tools_used": ["diff", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1cba55bfc23c452bb5acf19f5db047a3", "memory_type": "task", "when_to_use": "When handling multiple API calls, ensure all required arguments align with the expected parameters of the function.", "content": "Mismatched or unexpected arguments in API calls can lead to execution errors. Always cross-check the tool's parameter requirements before making a call.", "score": 0.0, "time_created": "2025-08-04 07:45:40", "time_modified": "2025-08-04 07:45:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:40", "modified_time": "2025-08-04 07:45:40", "extra_info": {"tags": ["error_prevention", "api_parameters", "failure_analysis"], "confidence": 0.9, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "826d4ef996824dd1bd0859f66130b279", "memory_type": "task", "when_to_use": "When retrieving user messages for context, verify if the content is relevant to the ongoing task to avoid unnecessary steps.", "content": "Retrieving unrelated or off-topic messages can sidetrack the workflow. Ensure retrieved data directly contributes to solving the current problem.", "score": 0.0, "time_created": "2025-08-04 07:45:40", "time_modified": "2025-08-04 07:45:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:45:40", "modified_time": "2025-08-04 07:45:40", "extra_info": {"tags": ["context_relevance", "failure_analysis", "user_messages"], "confidence": 0.8, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1baefe84430c49b1b9424f2f7547ae60", "memory_type": "task", "when_to_use": "When verifying traveler information, ensure all provided details are accurate and meet system requirements.", "content": "Always double-check the format and validity of critical input data such as passport numbers and dates of birth before calling verification functions. Invalid or improperly formatted inputs can lead to immediate failure.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["error_prevention", "data_validation", "travel_verification"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["verify_traveler_information"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e5611e1cebe64e549f9c4fea17e41cde", "memory_type": "task", "when_to_use": "When using API functions with strict parameter requirements, confirm that all required arguments match the expected format and exclude any unnecessary ones.", "content": "Including unexpected or deprecated parameters (e.g., 'travel_cost' in book_flight) can cause function execution errors. Always cross-check the latest API documentation for correct usage.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["api_usage", "parameter_validation", "function_errors"], "confidence": 0.85, "step_type": "action", "tools_used": ["book_flight"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "8228f03bc3804d8fa84b760937b3cac9", "memory_type": "task", "when_to_use": "When retrieving messages related to a specific task or context, ensure the correct tool is used to capture relevant communications.", "content": "General message retrieval tools may not always align with task-specific needs. If no filtering options exist, consider whether the retrieved data sufficiently addresses the user’s query before proceeding.", "score": 0.0, "time_created": "2025-08-04 07:46:00", "time_modified": "2025-08-04 07:46:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:00", "modified_time": "2025-08-04 07:46:00", "extra_info": {"tags": ["message_retrieval", "context_alignment", "user_communication"], "confidence": 0.75, "step_type": "observation", "tools_used": ["view_messages_sent"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e98bc38dd369411bbab303eeea304d2c", "memory_type": "task", "when_to_use": "When performing multi-step vehicle preparation tasks (e.g., fueling, engine start, safety checks) where dependencies exist between steps.", "content": "The agent successfully executed a sequence of interdependent actions by first identifying critical prerequisites (like locking doors and pressing the brake pedal) before proceeding with higher-level tasks (starting the engine). This ensured operational safety and prevented errors.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["vehicle-preparation", "interdependent-actions", "safety-first"], "confidence": 0.9, "step_type": "action", "tools_used": ["lockDoors", "pressBrakePedal", "startEngine"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1414b45a233d4debbfb87e44cdf06dfb", "memory_type": "task", "when_to_use": "When validating system outputs against user-defined thresholds (e.g., tire pressure checks) to ensure safety or compliance.", "content": "The agent cross-verified tire pressures against a user-specified threshold (33 psi). Despite conflicting system feedback ('healthy_tire_pressure': true), it prioritized user requirements, identified under-inflated tires, and recommended corrective action (nearest tire shop).", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["threshold-validation", "user-preference", "error-handling"], "confidence": 0.85, "step_type": "decision", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6d532f3773dc43e8aa1e281ade5579fb", "memory_type": "task", "when_to_use": "When performing multi-step operations where the order of execution is critical (e.g., locking doors before starting an engine).", "content": "Ensure that all prerequisite steps are completed successfully before proceeding to dependent actions. Validate intermediate states when responses indicate potential discrepancies.", "score": 0.0, "time_created": "2025-08-04 07:46:07", "time_modified": "2025-08-04 07:46:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:07", "modified_time": "2025-08-04 07:46:07", "extra_info": {"tags": ["error_prevention", "dependency_management", "sequence_validation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["startEngine", "lockDoors"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "df81ad2b217540b4878683bee5c5bb12", "memory_type": "task", "when_to_use": "When evaluating system health flags (e.g., healthy_tire_pressure) alongside specific threshold checks.", "content": "Do not rely solely on high-level health flags; verify individual metrics explicitly against required thresholds to ensure accuracy and safety.", "score": 0.0, "time_created": "2025-08-04 07:46:07", "time_modified": "2025-08-04 07:46:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:07", "modified_time": "2025-08-04 07:46:07", "extra_info": {"tags": ["threshold_validation", "health_check", "explicit_verification"], "confidence": 0.85, "step_type": "observation", "tools_used": ["check_tire_pressure", "find_nearest_tire_shop"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5123a71518a8469db9fcffe908da220f", "memory_type": "task", "when_to_use": "When extracting numerical data from text files for calculations, ensure all relevant numbers are correctly identified and parsed.", "content": "Always verify that the correct values are extracted from file contents before performing mathematical operations. Misinterpretation of file content can lead to incorrect calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:14", "time_modified": "2025-08-04 07:46:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:14", "modified_time": "2025-08-04 07:46:14", "extra_info": {"tags": ["error_prevention", "data_extraction", "calculation_accuracy"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["tail", "mean", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "6d6fcaa799594241abc890e8c25c72e1", "memory_type": "task", "when_to_use": "When writing results to a file, confirm that the output format strictly matches user requirements.", "content": "Ensure that outputs written to files contain only the specified data without additional characters or formatting. This avoids discrepancies between expected and actual file content.", "score": 0.0, "time_created": "2025-08-04 07:46:14", "time_modified": "2025-08-04 07:46:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:14", "modified_time": "2025-08-04 07:46:14", "extra_info": {"tags": ["file_operations", "output_validation", "user_requirements"], "confidence": 0.85, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "2ea34205d508403c862ada8453bbf8b9", "memory_type": "task", "when_to_use": "When extracting and processing multiple numeric values from a text file to perform calculations.", "content": "Ensure that the correct numbers are identified and extracted from the text, avoiding confusion with unrelated data in the same line or section of the file. Validate that all required values are present before proceeding with further calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:15", "time_modified": "2025-08-04 07:46:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:15", "modified_time": "2025-08-04 07:46:15", "extra_info": {"tags": ["error_prevention", "failure_analysis", "data_extraction"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["tail", "mean", "round_number"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a2cc91fa6b164f9b9bb392583263a7bb", "memory_type": "task", "when_to_use": "When writing calculated results to a new file as per user request.", "content": "Double-check that only the exact required content is written to the file by verifying both the format and precision of the output. Avoid including any unintended additional characters or decimal points if the requirement specifies otherwise.", "score": 0.0, "time_created": "2025-08-04 07:46:15", "time_modified": "2025-08-04 07:46:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:15", "modified_time": "2025-08-04 07:46:15", "extra_info": {"tags": ["error_prevention", "file_operations", "output_validation"], "confidence": 0.8, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "dbe9b4e56cd04fc39366fb74d5bd8139", "memory_type": "task", "when_to_use": "When needing to calculate derived values (e.g., logarithm) based on previously obtained results.", "content": "After successfully obtaining the distance between two cities, the agent seamlessly transitioned to calculating a logarithmic value by using the 'logarithm' function with specified precision. This step demonstrated effective chaining of operations where the output of one computation feeds directly into the next.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["derived calculation", "logarithm", "chained operations"], "confidence": 0.9, "step_type": "action", "tools_used": ["logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "843a6521dac34503b216778f362a0a5e", "memory_type": "task", "when_to_use": "When multiple external tools or functions need to be called in sequence to achieve a multi-step goal.", "content": "The agent efficiently used a sequence of tool calls ('get_zipcode_based_on_city', 'estimate_distance', and 'logarithm') to first find zip codes, estimate the distance, and then compute the logarithm. The structured approach ensured clarity and precision at each step, leading to accurate final results.", "score": 0.0, "time_created": "2025-08-04 07:46:06", "time_modified": "2025-08-04 07:46:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:06", "modified_time": "2025-08-04 07:46:06", "extra_info": {"tags": ["multi-step task", "tool chaining", "distance estimation"], "confidence": 0.85, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance", "logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "ff2eb0e793ce40b0a0c8579558d4fe9c", "memory_type": "task", "when_to_use": "When needing to calculate distances between two locations, ensure all required data points (e.g., zipcodes or city names) are collected before proceeding with distance estimation.", "content": "Always confirm that all inputs for a calculation are available and valid before invoking functions. Missing or incorrect inputs can derail subsequent steps and calculations.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["error_prevention", "input_validation", "distance_calculation"], "confidence": 0.9, "step_type": "reasoning", "tools_used": ["get_zipcode_based_on_city", "estimate_distance"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "1b286f687a31446fba5cbf1c18549185", "memory_type": "task", "when_to_use": "When performing multi-step calculations involving intermediate results (e.g., distance then logarithm), ensure each step's output is validated before using it in the next function.", "content": "Intermediate results should be verified as accurate and within expected ranges before proceeding to dependent operations. Skipping validation can propagate errors downstream.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["error_prevention", "intermediate_validation", "logarithmic_calculation"], "confidence": 0.85, "step_type": "decision", "tools_used": ["estimate_distance", "logarithm"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "e4692a3c40ae421d9a2bf08c6cb7fa8b", "memory_type": "task", "when_to_use": "When handling user queries with multiple parts (e.g., distance + logarithm), prioritize clarity in communication by explicitly stating which part of the query is being addressed at each stage.", "content": "Clear communication of progress helps manage user expectations and ensures alignment on multi-part tasks. Ambiguity in task status can lead to confusion or redundant requests.", "score": 0.0, "time_created": "2025-08-04 07:46:16", "time_modified": "2025-08-04 07:46:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:16", "modified_time": "2025-08-04 07:46:16", "extra_info": {"tags": ["user_communication", "query_clarity", "multi_part_tasks"], "confidence": 0.8, "step_type": "observation", "tools_used": []}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "7bdc991d7ffb48f98b267c3289a68bcd", "memory_type": "task", "when_to_use": "When writing data to a file, especially with specific formatting requirements.", "content": "Always verify the exact format requested by the user (e.g., only numbers, no additional text) before writing to the file to prevent mismatches between expectations and output.", "score": 0.0, "time_created": "2025-08-04 07:46:19", "time_modified": "2025-08-04 07:46:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:19", "modified_time": "2025-08-04 07:46:19", "extra_info": {"tags": ["error_prevention", "file_operations", "user_requirements"], "confidence": 0.9, "step_type": "action", "tools_used": ["echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "9115745606874454a3d097066b4dfb0a", "memory_type": "task", "when_to_use": "When performing mathematical operations and saving results into files.", "content": "After calculating values like mean or standard deviation, confirm that subsequent actions (e.g., rounding or formatting) align with user instructions before proceeding with file creation.", "score": 0.0, "time_created": "2025-08-04 07:46:19", "time_modified": "2025-08-04 07:46:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:19", "modified_time": "2025-08-04 07:46:19", "extra_info": {"tags": ["math_operations", "file_creation", "accuracy"], "confidence": 0.85, "step_type": "decision", "tools_used": ["mean", "round_number", "echo"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "36a9fb53dff246dba9adfe0fd61f9aa7", "memory_type": "task", "when_to_use": "When handling file operations where the user specifies exact content formatting.", "content": "Always verify that the written content matches the user's explicit formatting requirements before confirming task completion. Missing this step can lead to output inconsistencies, such as including unintended text or metadata.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["error_prevention", "file_operations", "content_validation"], "confidence": 0.9, "step_type": "action", "tools_used": ["echo", "cat"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "a41050eb464e455685413e773b7ada0a", "memory_type": "task", "when_to_use": "When performing calculations and writing results into files based on user requests.", "content": "After calculating values (e.g., mean revenue), ensure intermediate steps like rounding are explicitly handled and documented in the agent’s reasoning. Skipping clarity in these steps can confuse users about how final outputs were derived.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["calculation_handling", "rounding", "user_communication"], "confidence": 0.8, "step_type": "reasoning", "tools_used": ["mean"]}}}
|
||||
{"workspace_id": "bfcl_v1", "memory_id": "5ec9eda603fc424999c1c7c425507c7c", "memory_type": "task", "when_to_use": "When using tools with optional parameters for file creation or modification.", "content": "Explicitly define all necessary arguments when invoking functions like 'echo', ensuring no implicit defaults alter the intended outcome. For example, failing to specify `content` properly could result in malformed files.", "score": 0.0, "time_created": "2025-08-04 07:46:24", "time_modified": "2025-08-04 07:46:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "created_time": "2025-08-04 07:46:24", "modified_time": "2025-08-04 07:46:24", "extra_info": {"tags": ["tool_usage", "argument_specification", "error_prevention"], "confidence": 0.75, "step_type": "decision", "tools_used": ["echo"]}}}
|
||||
|
|
@ -1,96 +0,0 @@
|
|||
# Ready-to-Use Memories
|
||||
|
||||
<div id="memory-lib-root" class="ml-prose-container">
|
||||
<!-- 工具条 -->
|
||||
<div class="ml-card">
|
||||
<div class="ml-toolbar">
|
||||
<div class="ml-input-wrap">
|
||||
<svg class="ml-icon" viewBox="0 0 24 24" aria-hidden="true">
|
||||
<path d="M15.5 14h-.79l-.28-.27A6.471 6.471 0 0 0 16 9.5 6.5 6.5 0 1 0 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/>
|
||||
</svg>
|
||||
<input id="ml-search" placeholder="Search memories..." />
|
||||
</div>
|
||||
<button id="ml-clear" class="ml-btn secondary">Clear</button>
|
||||
</div>
|
||||
<div id="ml-stats" class="ml-stats" hidden>
|
||||
<span>Showing <b id="ml-count">0</b> of <b id="ml-total">0</b> <span id="ml-type">items</span></span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 加载/错误 -->
|
||||
<div id="ml-loading" class="ml-loading">
|
||||
<div class="ml-spinner" aria-label="Loading"></div>
|
||||
<div class="ml-muted">Loading memories…</div>
|
||||
</div>
|
||||
<div id="ml-error" class="ml-error" hidden>
|
||||
<div class="ml-error-icon">⚠️</div>
|
||||
<div class="ml-muted">Failed to load memories.</div>
|
||||
<button id="ml-retry" class="ml-btn">Try again</button>
|
||||
</div>
|
||||
|
||||
<!-- 面包屑 -->
|
||||
<div id="ml-crumb" class="ml-crumb" hidden>
|
||||
<button id="ml-back" class="ml-link">← Back to memory home</button>
|
||||
<div class="ml-crumb-title" id="ml-crumb-title">memories</div>
|
||||
</div>
|
||||
|
||||
<!-- 列表容器 -->
|
||||
<div id="ml-libraries" class="ml-stacked" hidden></div>
|
||||
|
||||
<div id="ml-memories" class="ml-grid" hidden></div>
|
||||
<div id="ml-pagination" class="ml-pagination" hidden>
|
||||
<div class="ml-page-info">
|
||||
<span id="ml-page-range"></span>
|
||||
</div>
|
||||
<div class="ml-page-controls">
|
||||
<button id="ml-prev" class="ml-btn secondary">← Prev</button>
|
||||
<button id="ml-next" class="ml-btn">Next →</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 空态 -->
|
||||
<div id="ml-empty" class="ml-empty" hidden>
|
||||
<div class="ml-empty-icon">🔎</div>
|
||||
<div class="ml-muted">No results found. Try changing your search.</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 详情弹窗 -->
|
||||
<div id="ml-modal" class="ml-modal" hidden aria-hidden="true">
|
||||
<div class="ml-modal-backdrop" data-ml-close></div>
|
||||
<div class="ml-modal-card" role="dialog" aria-modal="true" aria-labelledby="ml-modal-title">
|
||||
<div class="ml-modal-header">
|
||||
<div>
|
||||
<div class="ml-chip" id="ml-modal-lib"></div>
|
||||
<div class="ml-chip success" id="ml-modal-score" hidden></div>
|
||||
</div>
|
||||
<button class="ml-close" type="button" aria-label="Close" data-ml-close>✕</button>
|
||||
</div>
|
||||
|
||||
<h2 id="ml-modal-title" class="sr-only">Memory details</h2>
|
||||
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">When to use</div>
|
||||
<div class="ml-code" id="ml-modal-when"></div>
|
||||
</div>
|
||||
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">Memory</div>
|
||||
<div class="ml-note" id="ml-modal-content"></div>
|
||||
</div>
|
||||
|
||||
<div class="ml-modal-section">
|
||||
<div class="ml-section-title">Metadata</div>
|
||||
<div class="ml-meta">
|
||||
<div><span>Author</span><b id="ml-modal-author"></b></div>
|
||||
<div><span>Created</span><b id="ml-modal-created"></b></div>
|
||||
<div><span>Memory ID</span><b id="ml-modal-id" class="mono"></b></div>
|
||||
<div><span>Workspace</span><b id="ml-modal-ws" class="mono"></b></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="ml-modal-footer">
|
||||
<button class="ml-btn secondary" type="button" data-ml-close>Close</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
|
@ -1,218 +0,0 @@
|
|||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a32ce8aa186d49e78afbd8f8f300f513", "memory_type": "procedural", "when_to_use": "When determining the most-liked song requires aggregating likes from all playlists, not just liked songs", "content": "The higher-scoring approach systematically retrieved all playlists, iterated through song IDs, and aggregated like counts across all songs (including those in private playlists). This ensured comprehensive data collection, whereas the lower-scoring approach only checked the 'liked songs' list, which doesn't account for likes from playlist contexts.", "score": 0, "time_created": "2025-11-07 18:06:13", "time_modified": "2025-11-07 18:06:13", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When determining the most-liked song requires aggregating likes from all playlists, not just liked songs", "category": "comparative", "created_time": "2025-11-07 18:06:13", "modified_time": "2025-11-07 18:06:13", "generalized_query": "Identify the most popular item across a user's library by aggregating engagement metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "2dcf6f4448dd4f42ad6d3fc803385512", "memory_type": "procedural", "when_to_use": "When accessing protected resources requiring authentication tokens", "content": "Successfully obtained access token via supervisor password retrieval, then used it consistently across API calls. This pattern ensures secure access to user-specific data through proper authentication flow.", "score": 0, "time_created": "2025-11-07 18:06:17", "time_modified": "2025-11-07 18:06:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most-liked song in my Spotify playlists", "when_to_use": "When accessing protected resources requiring authentication tokens", "category": "success", "created_time": "2025-11-07 18:06:17", "modified_time": "2025-11-07 18:06:17", "generalized_query": "Access user-specific data in apps requiring OAuth-style authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "102ab86e54cd42cb80dc39c9e5ff48ca", "memory_type": "procedural", "when_to_use": "When interpreting API response schemas", "content": "Always check API response schemas for available metrics (like like_count) before assuming data availability - the absence of such fields may require alternative approaches", "score": 0, "time_created": "2025-11-07 18:06:21", "time_modified": "2025-11-07 18:06:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Analyzing the structure of Spotify's show_liked_songs API response", "when_to_use": "When interpreting API response schemas", "category": "failure", "created_time": "2025-11-07 18:06:21", "modified_time": "2025-11-07 18:06:21", "generalized_query": "Understanding data availability constraints in API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "be3cd80e272440ecaeae1b2482c1e6b3", "memory_type": "procedural", "when_to_use": "When needing to update ratings for items in a user's library where direct rating retrieval is unavailable", "content": "Successfully navigated API limitations by using review_song and update_song_review endpoints when direct rating retrieval failed. Identified that existing reviews needed updates rather than creating new ones, leveraging user-specific review filtering and bulk update patterns.", "score": 0, "time_created": "2025-11-07 18:06:12", "time_modified": "2025-11-07 18:06:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When needing to update ratings for items in a user's library where direct rating retrieval is unavailable", "category": "success", "created_time": "2025-11-07 18:06:12", "modified_time": "2025-11-07 18:06:12", "generalized_query": "Update ratings for user-owned items in a service where direct rating access is blocked but review functionality exists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "620c3113b70549be99c2890cf8f22734", "memory_type": "procedural", "when_to_use": "When managing authentication tokens in API workflows with time-sensitive access", "content": "The lower-scoring approach repeatedly failed due to 401 errors from expired tokens, requiring constant re-authentication. The higher-scoring sequence properly managed token lifecycle by re-authenticating when needed and using fresh tokens for each critical operation, ensuring uninterrupted API access.", "score": 0, "time_created": "2025-11-07 18:06:18", "time_modified": "2025-11-07 18:06:18", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When managing authentication tokens in API workflows with time-sensitive access", "category": "comparative", "created_time": "2025-11-07 18:06:18", "modified_time": "2025-11-07 18:06:18", "generalized_query": "Maintain valid authentication tokens during multi-step API operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "9351c1e2ba094a43a38729776c6604fa", "memory_type": "procedural", "when_to_use": "When retrieving data from APIs that require pagination or filtering, ensure the full dataset is considered, not just subsets.", "content": "Assuming a subset (e.g., liked songs) represents the entire dataset can lead to incorrect conclusions. Always validate the scope of the query and ensure comprehensive data collection.", "score": 0, "time_created": "2025-11-07 18:06:16", "time_modified": "2025-11-07 18:06:16", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the least-played song in my Spotify song library.", "when_to_use": "When retrieving data from APIs that require pagination or filtering, ensure the full dataset is considered, not just subsets.", "category": "failure", "created_time": "2025-11-07 18:06:16", "modified_time": "2025-11-07 18:06:16", "generalized_query": "Identify the least frequent item in a user's library based on a specific metric.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7b84d16c21ec48869c9762857c302508", "memory_type": "procedural", "when_to_use": "When retrieving play counts for songs in a library", "content": "Play count data must be explicitly retrieved from song/album details APIs, not assumed to exist in liked songs lists", "score": 0, "time_created": "2025-11-07 18:06:07", "time_modified": "2025-11-07 18:06:07", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When retrieving play counts for songs in a library", "category": "failure", "created_time": "2025-11-07 18:06:07", "modified_time": "2025-11-07 18:06:07", "generalized_query": "Identify the most frequently played item in a user's music library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "35c294639a604de889a0c71da428567c", "memory_type": "procedural", "when_to_use": "When interpreting API response structures", "content": "Always verify field availability in API responses before using them in calculations", "score": 0, "time_created": "2025-11-07 18:06:07", "time_modified": "2025-11-07 18:06:07", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When interpreting API response structures", "category": "failure", "created_time": "2025-11-07 18:06:07", "modified_time": "2025-11-07 18:06:07", "generalized_query": "Process structured data from music streaming service APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "fa2c6fb6b6e6408b9b74db6dea5bc0bf", "memory_type": "procedural", "when_to_use": "When modifying user-generated content or ratings in a system with uniqueness constraints", "content": "Always verify the existence of prior user interactions before attempting to create new ones, especially when system constraints enforce uniqueness (e.g., one review per user per item).", "score": 0, "time_created": "2025-11-07 18:07:23", "time_modified": "2025-11-07 18:07:23", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When modifying user-generated content or ratings in a system with uniqueness constraints", "category": "failure", "created_time": "2025-11-07 18:07:23", "modified_time": "2025-11-07 18:07:23", "generalized_query": "Update user ratings for items in a library while respecting existing ratings and system constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "996887516b024ac58728b1589c69f484", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens and have constraints on duplicate entries", "content": "Always verify the existence of required authentication tokens before API calls and check for existing records to avoid conflicts", "score": 0, "time_created": "2025-11-07 18:07:20", "time_modified": "2025-11-07 18:07:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When interacting with APIs that require authentication tokens and have constraints on duplicate entries", "category": "failure", "created_time": "2025-11-07 18:07:20", "modified_time": "2025-11-07 18:07:20", "generalized_query": "Modify ratings for items in a user's library based on existing preferences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "98abe9f3d0d74417bdb08f4338306b53", "memory_type": "procedural", "when_to_use": "When needing to update user ratings for items in a library where existing ratings may conflict with new ones", "content": "Successfully identified unliked songs by comparing library and liked songs lists. Implemented pagination for full data retrieval, checked for existing reviews via show_song_reviews API, and used update_song_review when existing reviews existed. This approach avoided 409 conflicts by first checking for existing user reviews before creating new ones.", "score": 0, "time_created": "2025-11-07 18:07:27", "time_modified": "2025-11-07 18:07:27", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When needing to update user ratings for items in a library where existing ratings may conflict with new ones", "category": "success", "created_time": "2025-11-07 18:07:27", "modified_time": "2025-11-07 18:07:27", "generalized_query": "Update ratings for items in a user library based on existing preferences, ensuring no duplicate ratings are created", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c03595157e614f2487542a00695f2772", "memory_type": "procedural", "when_to_use": "When handling API authentication and token expiration in task automation", "content": "The higher-scoring approach implemented proper access token management by re-authenticating when encountering 401 errors, unlike the lower-scoring sequence which attempted to use expired tokens. It also used explicit roommate filtering (Eric Bailey, Anita Burch) before liking transactions, whereas the lower sequence attempted to like all transactions without validation and failed to handle authentication errors.", "score": 0, "time_created": "2025-11-07 18:07:20", "time_modified": "2025-11-07 18:07:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When handling API authentication and token expiration in task automation", "category": "comparative", "created_time": "2025-11-07 18:07:20", "modified_time": "2025-11-07 18:07:20", "generalized_query": "Execute targeted social media interactions based on user-defined filters and maintain API session validity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "0f4278e72c894aa7979d0607e00e72c2", "memory_type": "procedural", "when_to_use": "When extracting specific data from a list of dictionaries", "content": "Always verify data structure outputs when using list comprehensions - a boolean result indicates a logical error in the condition, not a data retrieval failure", "score": 0, "time_created": "2025-11-07 18:07:21", "time_modified": "2025-11-07 18:07:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When extracting specific data from a list of dictionaries", "category": "failure", "created_time": "2025-11-07 18:07:21", "modified_time": "2025-11-07 18:07:21", "generalized_query": "Filter and interact with specific items in a dataset based on predefined criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "cd5e2e81697841e4a19ffd1cd45d5ae0", "memory_type": "procedural", "when_to_use": "When exporting data from an API with pagination and requiring uniqueness checks", "content": "The higher-scoring approach used proper API pagination, ensured data uniqueness via sets, and correctly handled API parameters (e.g., access tokens). It also used the correct file system API method (create_file) with required parameters. The lower-scoring approach attempted to use a non-existent 'write_file' API, failed to handle pagination properly, and had incorrect password retrieval logic leading to TypeErrors.", "score": 0, "time_created": "2025-11-07 18:08:28", "time_modified": "2025-11-07 18:08:28", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify.csv\" file in my file system. The file should have headers, \"Title\" and \"Artists\" and artists should be separated by \"|\". Terminate my account after this backup is complete.", "when_to_use": "When exporting data from an API with pagination and requiring uniqueness checks", "category": "comparative", "created_time": "2025-11-07 18:08:28", "modified_time": "2025-11-07 18:08:28", "generalized_query": "Exporting unique data from a music library API with pagination and file system integration", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "81d1f864bcc346ec8e54cb6d668f6c01", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require specific parameters or methods", "content": "Always verify the existence and parameters of APIs before invoking them to avoid runtime errors.", "score": 0, "time_created": "2025-11-07 18:08:32", "time_modified": "2025-11-07 18:08:32", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify.csv\" file in my file system. The file should have headers, \"Title\" and \"Artists\" and artists should be separated by \"|\". Terminate my account after this backup is complete.", "when_to_use": "When interacting with APIs that require specific parameters or methods", "category": "failure", "created_time": "2025-11-07 18:08:32", "modified_time": "2025-11-07 18:08:32", "generalized_query": "Exporting data from a service to a file system requires proper API usage and data validation.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1bb5d60f86e0413a8c5fe300dd65cf11", "memory_type": "procedural", "when_to_use": "When processing nested data structures or potential missing keys", "content": "Use safe dictionary access methods (e.g., .get()) and validate data structures to prevent KeyErrors.", "score": 0, "time_created": "2025-11-07 18:08:32", "time_modified": "2025-11-07 18:08:32", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Fetch detailed information for each unique song and format artists as a string separated by \"|\"", "when_to_use": "When processing nested data structures or potential missing keys", "category": "failure", "created_time": "2025-11-07 18:08:32", "modified_time": "2025-11-07 18:08:32", "generalized_query": "Handling data retrieval from APIs with potentially incomplete or inconsistent responses.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3970cc4b670042c3be841acc583f2ced", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens for file operations", "content": "Always explicitly include required authentication tokens in API requests, as missing or improperly formatted tokens will result in unauthorized access errors (401) even if the API endpoint exists.", "score": 0, "time_created": "2025-11-07 18:08:28", "time_modified": "2025-11-07 18:08:28", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_library.csv\" file in my file system", "when_to_use": "When interacting with APIs that require authentication tokens for file operations", "category": "failure", "created_time": "2025-11-07 18:08:28", "modified_time": "2025-11-07 18:08:28", "generalized_query": "Export data to a file system location using an API that requires authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e5c5b8ac92904acc85425d86ef0e4f31", "memory_type": "procedural", "when_to_use": "When working with multi-step tasks involving multiple apps/services", "content": "Maintain separate authentication contexts for each app/service and explicitly manage tokens to avoid cross-service authorization conflicts.", "score": 0, "time_created": "2025-11-07 18:08:24", "time_modified": "2025-11-07 18:08:24", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Terminate my account after this backup is complete.", "when_to_use": "When working with multi-step tasks involving multiple apps/services", "category": "failure", "created_time": "2025-11-07 18:08:24", "modified_time": "2025-11-07 18:08:24", "generalized_query": "Execute sequential tasks across multiple apps (e.g., Spotify + file_system) requiring separate authentication and API flows.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "88eb5a9f113d41ff820dcc86cae947ca", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require state checks (e.g., likes, follows, or approvals)", "content": "Always verify the current state of an object (e.g., 'already liked') before performing an action to avoid redundant API calls and errors.", "score": 0, "time_created": "2025-11-07 18:08:20", "time_modified": "2025-11-07 18:08:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When interacting with APIs that require state checks (e.g., likes, follows, or approvals)", "category": "failure", "created_time": "2025-11-07 18:08:20", "modified_time": "2025-11-07 18:08:20", "generalized_query": "Perform actions on social feed items while avoiding redundant operations based on prior state", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8ad4fb9425d4490391f2fd00d613d892", "memory_type": "procedural", "when_to_use": "When retrieving credentials or tokens from API responses", "content": "Boolean list comprehensions must be properly filtered to avoid type errors when accessing list elements", "score": 0, "time_created": "2025-11-07 18:08:30", "time_modified": "2025-11-07 18:08:30", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "venmo_password = [account_password[\"account_name\"] == \"venmo\" for account_password in passwords][0][\"password\"]", "when_to_use": "When retrieving credentials or tokens from API responses", "category": "failure", "created_time": "2025-11-07 18:08:30", "modified_time": "2025-11-07 18:08:30", "generalized_query": "Extracting specific field values from filtered API response lists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6631c84a84db489c90d69037a181af56", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication or specific permissions, especially for file operations.", "content": "Always verify the existence and parameters of APIs before invoking them, as assumed methods may not exist or may require different authentication contexts.", "score": 0, "time_created": "2025-11-07 18:09:21", "time_modified": "2025-11-07 18:09:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_songs.csv\" file in my file system. The file should have headers, \"Title\" and \"Artists\" and artists should be separated by \"|\". Terminate my account after this backup is complete.", "when_to_use": "When interacting with APIs that require authentication or specific permissions, especially for file operations.", "category": "failure", "created_time": "2025-11-07 18:09:21", "modified_time": "2025-11-07 18:09:21", "generalized_query": "Export data to a file system location using available APIs and perform account termination.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "fb594c4526df4ccd89479fa6524b2e25", "memory_type": "procedural", "when_to_use": "When executing multi-step tasks that depend on prior data retrieval", "content": "Data retrieval steps must be explicitly re-executed if intermediate failures occur, as variables are not persisted across execution boundaries.", "score": 0, "time_created": "2025-11-07 18:09:23", "time_modified": "2025-11-07 18:09:23", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_songs.csv\" file in my file system. The file should have headers, \"Title\" and \"Artists\" and artists should be separated by \"|\". Terminate my account after this backup is complete.", "when_to_use": "When executing multi-step tasks that depend on prior data retrieval", "category": "failure", "created_time": "2025-11-07 18:09:23", "modified_time": "2025-11-07 18:09:23", "generalized_query": "Ensuring data availability before proceeding to file operations in sequential workflows", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ccd63370327d4e39a69db1bf9f2302d3", "memory_type": "procedural", "when_to_use": "When dealing with cross-service data aggregation and file exports", "content": "The higher-scoring approach implemented a robust data collection process by iterating through all song libraries, album song IDs, and playlist song IDs to ensure completeness. It used set operations to eliminate duplicates and properly formatted CSV content. The lower-scoring approach only collected song library data, missed album/playlist songs, and attempted to use unsupported APIs for file operations without proper authentication.", "score": 0, "time_created": "2025-11-07 18:09:30", "time_modified": "2025-11-07 18:09:30", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_songs.csv\" file in my file system. The file should have headers, \"Title\" and \"Artists\" and artists should be separated by \"|\". Terminate my account after this backup is complete.", "when_to_use": "When dealing with cross-service data aggregation and file exports", "category": "comparative", "created_time": "2025-11-07 18:09:30", "modified_time": "2025-11-07 18:09:30", "generalized_query": "Aggregate data from multiple sources and export to file system with proper formatting", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4aacdf808d284a26a34c33d5ea816063", "memory_type": "procedural", "when_to_use": "When retrieving data from a note-taking app and requiring communication via SMS", "content": "The higher-scoring approach achieved success by: (1) Fully implementing SMS delivery via phone app APIs, while the lower-scoring approach only generated the list without sending it; (2) Using pagination to retrieve all relevant notes, whereas the lower approach relied on a single search query; (3) Correctly handling authentication flows for both Simple Note and Phone apps, while the lower approach only used Simple Note credentials.", "score": 0, "time_created": "2025-11-07 18:09:44", "time_modified": "2025-11-07 18:09:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Christopher has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When retrieving data from a note-taking app and requiring communication via SMS", "category": "comparative", "created_time": "2025-11-07 18:09:44", "modified_time": "2025-11-07 18:09:44", "generalized_query": "Retrieve structured data from a note-taking app and deliver it via SMS to a contact", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3ca1903852af422ebdb9a10a1c5e1e50", "memory_type": "procedural", "when_to_use": "When executing multi-step tasks involving API calls and data processing", "content": "Break down complex tasks into modular steps with explicit error checks at each stage to identify and resolve failures early.", "score": 0, "time_created": "2025-11-07 18:09:56", "time_modified": "2025-11-07 18:09:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account", "when_to_use": "When executing multi-step tasks involving API calls and data processing", "category": "failure", "created_time": "2025-11-07 18:09:56", "modified_time": "2025-11-07 18:09:56", "generalized_query": "Chain API calls and data transformations to fulfill user requests", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "55b5896491c24e0aa83d3b8548868e9d", "memory_type": "procedural", "when_to_use": "When interacting with contact management systems for message delivery", "content": "Implement fallback mechanisms for contact resolution failures and validate contact existence before message delivery", "score": 0, "time_created": "2025-11-07 18:09:39", "time_modified": "2025-11-07 18:09:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send text message to Christopher with movie recommendations", "when_to_use": "When interacting with contact management systems for message delivery", "category": "failure", "created_time": "2025-11-07 18:09:39", "modified_time": "2025-11-07 18:09:39", "generalized_query": "Deliver content to a contact via messaging systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e80cceb736e245f5a1e995be2c0646fa", "memory_type": "procedural", "when_to_use": "When retrieving data from a note-taking app for specific content", "content": "Always verify that the retrieved data matches the requested content type; do not assume note titles directly represent the desired output. Use appropriate APIs to access note content, not just metadata.", "score": 0, "time_created": "2025-11-07 18:09:49", "time_modified": "2025-11-07 18:09:49", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When retrieving data from a note-taking app for specific content", "category": "failure", "created_time": "2025-11-07 18:09:49", "modified_time": "2025-11-07 18:09:49", "generalized_query": "Extract specific content (e.g., movie titles) from a note-taking app based on a user request", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8aa834c97b694cea89213569937827d1", "memory_type": "procedural", "when_to_use": "When extracting data from API responses that require authentication tokens", "content": "Always verify authentication token inclusion in API requests and validate response structures before proceeding with downstream operations", "score": 0, "time_created": "2025-11-07 18:09:47", "time_modified": "2025-11-07 18:09:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Laura has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When extracting data from API responses that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:09:47", "modified_time": "2025-11-07 18:09:47", "generalized_query": "Retrieve and transmit user-specific data across authenticated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8e38e054a449415880911d32fb98797b", "memory_type": "procedural", "when_to_use": "When encountering repeated 401 Unauthorized errors during API calls, especially after re-authenticating", "content": "Repeated authentication failures indicate potential issues with token validity, API endpoint permissions, or parameter mismatches. Always verify token scope and endpoint requirements before re-authenticating.", "score": 0, "time_created": "2025-11-07 18:07:42", "time_modified": "2025-11-07 18:07:42", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When encountering repeated 401 Unauthorized errors during API calls, especially after re-authenticating", "category": "failure", "created_time": "2025-11-07 18:07:42", "modified_time": "2025-11-07 18:07:42", "generalized_query": "Accessing protected API endpoints after authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "2c9a8999b2684d6582db56470c9e5a9b", "memory_type": "procedural", "when_to_use": "When relying on external APIs (e.g., phone contacts) to filter data for another API (e.g., Venmo transactions)", "content": "Avoid unnecessary dependencies on external APIs for filtering. Use direct API endpoints (e.g., Venmo's social feed) with available filters to achieve the goal more efficiently.", "score": 0, "time_created": "2025-11-07 18:07:42", "time_modified": "2025-11-07 18:07:42", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When relying on external APIs (e.g., phone contacts) to filter data for another API (e.g., Venmo transactions)", "category": "failure", "created_time": "2025-11-07 18:07:42", "modified_time": "2025-11-07 18:07:42", "generalized_query": "Cross-referencing data between multiple APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8d63960d030d4ea6a5f565e68c1c006a", "memory_type": "procedural", "when_to_use": "When retrieving specific data from a list of items where a unique identifier is required, especially in scenarios involving API responses with potential for multiple matches or errors.", "content": "The higher-scoring approach used a generator expression with `next()` to safely extract the Venmo password, avoiding errors caused by boolean indexing. This method is more robust and efficient for single-match scenarios, whereas the lower-scoring approach used a list comprehension that risked errors and inefficiency. This highlights the importance of precise data extraction techniques in API interactions.", "score": 0, "time_created": "2025-11-07 18:10:41", "time_modified": "2025-11-07 18:10:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you!\", to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When retrieving specific data from a list of items where a unique identifier is required, especially in scenarios involving API responses with potential for multiple matches or errors.", "category": "comparative", "created_time": "2025-11-07 18:10:41", "modified_time": "2025-11-07 18:10:41", "generalized_query": "Automate commenting and liking on social payment platform transactions based on specific criteria (e.g., timeframe, direction, user relationships).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "09c3d946d93d473a9a9dd9266a714a82", "memory_type": "procedural", "when_to_use": "When processing paginated API results to ensure complete data coverage for task execution.", "content": "The higher-scoring approach implemented a pagination loop to fetch all transactions received in the last 5 days, ensuring no data was missed. The lower-scoring approach only retrieved a single page of results, potentially missing transactions. This demonstrates that handling pagination is critical for completeness in API-driven tasks.", "score": 0, "time_created": "2025-11-07 18:10:41", "time_modified": "2025-11-07 18:10:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you!\", to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When processing paginated API results to ensure complete data coverage for task execution.", "category": "comparative", "created_time": "2025-11-07 18:10:41", "modified_time": "2025-11-07 18:10:41", "generalized_query": "Ensure comprehensive processing of paginated API results to fulfill task requirements fully.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "69c10fed482941358c8480a15cc756e1", "memory_type": "procedural", "when_to_use": "When authenticating to third-party APIs using stored credentials", "content": "Avoid relying on password retrieval APIs for authentication; use OAuth tokens or session-based authentication where available for better security", "score": 0, "time_created": "2025-11-07 18:10:51", "time_modified": "2025-11-07 18:10:51", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Access Venmo account using supervisor-stored password", "when_to_use": "When authenticating to third-party APIs using stored credentials", "category": "failure", "created_time": "2025-11-07 18:10:51", "modified_time": "2025-11-07 18:10:51", "generalized_query": "Authenticate to financial/social apps using retrieved credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "9e0a0193912f4f339e021e83b0e4e65d", "memory_type": "procedural", "when_to_use": "When executing bulk operations on API resources", "content": "Validate each resource individually before bulk operations to prevent silent failures and ensure operation success.", "score": 0, "time_created": "2025-11-07 18:10:41", "time_modified": "2025-11-07 18:10:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all transactions and add comments to them", "when_to_use": "When executing bulk operations on API resources", "category": "failure", "created_time": "2025-11-07 18:10:41", "modified_time": "2025-11-07 18:10:41", "generalized_query": "Perform batch operations on multiple API resources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d8cee3d6e7c949fa8823f18bd2317542", "memory_type": "procedural", "when_to_use": "When integrating authentication and API calls across multiple apps for task completion", "content": "The higher-scoring approach systematically handled authentication for both Simple Note and Phone apps, used proper API parameters (including access tokens), and validated data parsing logic. It also implemented error recovery by reconstructing the movie list when initial parsing failed. The lower-scoring approach skipped authentication validation for the Phone app, used incorrect recipient parameters, and failed to handle API parameter requirements.", "score": 0, "time_created": "2025-11-07 18:10:25", "time_modified": "2025-11-07 18:10:25", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Reply to Leslie with a list of comma-separated movie titles from my Simple Note account via phone text message", "when_to_use": "When integrating authentication and API calls across multiple apps for task completion", "category": "comparative", "created_time": "2025-11-07 18:10:25", "modified_time": "2025-11-07 18:10:25", "generalized_query": "Retrieve data from one app and securely transmit it to another app via authenticated API calls", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ee838fc6f91442f2bf55f75246242357", "memory_type": "procedural", "when_to_use": "When preparing message payloads for communication APIs", "content": "Implement pre-transmission validation to ensure message content meets minimum length/format requirements", "score": 0, "time_created": "2025-11-07 18:10:43", "time_modified": "2025-11-07 18:10:43", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send text message with movie recommendations to Leslie Ball", "when_to_use": "When preparing message payloads for communication APIs", "category": "failure", "created_time": "2025-11-07 18:10:43", "modified_time": "2025-11-07 18:10:43", "generalized_query": "Validating message content before transmission", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b2a433b8a42540fdad882feb05d15c45", "memory_type": "procedural", "when_to_use": "When retrieving specific items from a list of objects", "content": "Always verify the structure of list comprehensions before accessing nested properties; use generator expressions with explicit error handling for safe value extraction.", "score": 0, "time_created": "2025-11-07 18:10:45", "time_modified": "2025-11-07 18:10:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, 'Thanks!', to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When retrieving specific items from a list of objects", "category": "failure", "created_time": "2025-11-07 18:10:45", "modified_time": "2025-11-07 18:10:45", "generalized_query": "Retrieve and modify data items based on specific criteria from a collection", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "18d10727058045a2bf2ed7c5f8bab042", "memory_type": "procedural", "when_to_use": "When executing multi-step API workflows", "content": "Validate intermediate results at each API call stage and implement fallback mechanisms for token refresh or rate limiting scenarios.", "score": 0, "time_created": "2025-11-07 18:10:45", "time_modified": "2025-11-07 18:10:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like transactions and add comments to Venmo payments", "when_to_use": "When executing multi-step API workflows", "category": "failure", "created_time": "2025-11-07 18:10:45", "modified_time": "2025-11-07 18:10:45", "generalized_query": "Execute sequential API operations with dependent parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "619e8d5acf6d413896406058fb6ed154", "memory_type": "procedural", "when_to_use": "When needing to authenticate to a service using stored credentials from a supervisor API", "content": "Successfully retrieved Venmo credentials from supervisor API, used them to login, and handled authentication tokens properly. This ensured access to transaction data while maintaining security through stored credentials.", "score": 0, "time_created": "2025-11-07 18:10:55", "time_modified": "2025-11-07 18:10:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you so much!\", to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When needing to authenticate to a service using stored credentials from a supervisor API", "category": "success", "created_time": "2025-11-07 18:10:55", "modified_time": "2025-11-07 18:10:55", "generalized_query": "Authenticate to a service using stored credentials and perform batch actions on recent transactions from specific contacts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a6c20c7fcfba4fc79064fce177fe060d", "memory_type": "procedural", "when_to_use": "When filtering lists with conditional checks, especially when retrieving specific elements", "content": "Boolean list comprehensions must be explicitly converted to retrieve actual objects, not just truth values. Use generator expressions or explicit loops for safe element retrieval.", "score": 0, "time_created": "2025-11-07 18:11:00", "time_modified": "2025-11-07 18:11:00", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you so much!\", to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When filtering lists with conditional checks, especially when retrieving specific elements", "category": "failure", "created_time": "2025-11-07 18:11:00", "modified_time": "2025-11-07 18:11:00", "generalized_query": "Retrieve and modify specific transaction data from an API based on filtering criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "5d4bd770b36142d4af47332831623c26", "memory_type": "procedural", "when_to_use": "When handling API responses with date ranges and user-specific filters", "content": "Always validate date formatting and API parameter constraints (e.g., YYYY-MM-DD) when working with temporal filters. Verify direction parameters (sent/received) align with user intent.", "score": 0, "time_created": "2025-11-07 18:11:00", "time_modified": "2025-11-07 18:11:00", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you so much!\", to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When handling API responses with date ranges and user-specific filters", "category": "failure", "created_time": "2025-11-07 18:11:00", "modified_time": "2025-11-07 18:11:00", "generalized_query": "Query API endpoints with temporal and directional filters for transaction data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1d53bffbea5741d5a48ab6f78f17f3ab", "memory_type": "procedural", "when_to_use": "When performing bulk operations on API resources", "content": "Implement error handling for bulk operations to isolate failures in individual resource modifications while maintaining transactional integrity across operations.", "score": 0, "time_created": "2025-11-07 18:11:00", "time_modified": "2025-11-07 18:11:00", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add a comment, \"Thank you so much!\", to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When performing bulk operations on API resources", "category": "failure", "created_time": "2025-11-07 18:11:00", "modified_time": "2025-11-07 18:11:00", "generalized_query": "Execute batch operations (like/comment) on multiple API resources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "85f33c0bfc4240b1be446b6192d84f88", "memory_type": "procedural", "when_to_use": "When needing to authenticate to a service using stored credentials and retrieve personalized recommendations", "content": "The successful pattern involved: 1) Using the supervisor app to retrieve stored Spotify credentials, 2) Authenticating via the login API to obtain an access token, 3) Using the access token to call the show_recommendations API. This worked because it correctly chained authentication with recommendation retrieval, leveraging stored credentials and proper API parameter passing.", "score": 0, "time_created": "2025-11-07 18:11:35", "time_modified": "2025-11-07 18:11:35", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When needing to authenticate to a service using stored credentials and retrieve personalized recommendations", "category": "success", "created_time": "2025-11-07 18:11:35", "modified_time": "2025-11-07 18:11:35", "generalized_query": "Retrieve personalized recommendations from a music streaming service using stored authentication credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "df39e40c2a8946519fc59fde7b535445", "memory_type": "procedural", "when_to_use": "When retrieving personalized recommendations from paginated API endpoints", "content": "The higher-scoring approach implemented systematic pagination (fetching 10 pages) and aggregated all artist data before determining frequency, whereas the lower-scoring approach only retrieved a single page and selected the first result. This comprehensive data collection and statistical analysis ensured accuracy by accounting for all recommendations, not just initial results.", "score": 0, "time_created": "2025-11-07 18:11:46", "time_modified": "2025-11-07 18:11:46", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When retrieving personalized recommendations from paginated API endpoints", "category": "comparative", "created_time": "2025-11-07 18:11:46", "modified_time": "2025-11-07 18:11:46", "generalized_query": "Identify the most frequently appearing entity in paginated API response data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a9cb8235868c469fa147d334f9de2c0f", "memory_type": "procedural", "when_to_use": "When needing to authenticate to a service using stored credentials and API documentation", "content": "Successfully used API documentation to identify authentication requirements, retrieved stored credentials via supervisor app, and implemented token-based authentication to access personalized recommendations. This pattern ensures secure API access while leveraging system-integrated credential storage.", "score": 0, "time_created": "2025-11-07 18:11:46", "time_modified": "2025-11-07 18:11:46", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When needing to authenticate to a service using stored credentials and API documentation", "category": "success", "created_time": "2025-11-07 18:11:46", "modified_time": "2025-11-07 18:11:46", "generalized_query": "Identify the most frequently recommended content creator from a personalized recommendation system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "06e629ca78764d4ea8e206f097e44f6d", "memory_type": "procedural", "when_to_use": "When retrieving personalized data from APIs with pagination, especially for analysis requiring comprehensive dataset coverage", "content": "The higher-scoring approach maximized data coverage by setting page_limit=20 (maximum allowed) during recommendations retrieval, ensuring comprehensive artist frequency analysis. This contrasted with the lower-scoring approach's page_limit=10, which limited data sampling and produced an incomplete artist count. The higher score's method guaranteed no truncation of potential candidates, critical for accuracy in 'least frequent' identification tasks.", "score": 0, "time_created": "2025-11-07 18:11:34", "time_modified": "2025-11-07 18:11:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When retrieving personalized data from APIs with pagination, especially for analysis requiring comprehensive dataset coverage", "category": "comparative", "created_time": "2025-11-07 18:11:34", "modified_time": "2025-11-07 18:11:34", "generalized_query": "Identify the least frequent entity in a paginated API response", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f0248565def145a8889dec1d50f13a39", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requires credential retrieval from supervisor systems", "content": "Effectively chained supervisor app credential retrieval with Spotify API authentication. This pattern works for scenarios where account credentials are centralized in a supervisor system and need to be programmatically accessed for third-party service integration.", "score": 0, "time_created": "2025-11-07 18:11:39", "time_modified": "2025-11-07 18:11:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When accessing protected APIs requires credential retrieval from supervisor systems", "category": "success", "created_time": "2025-11-07 18:11:39", "modified_time": "2025-11-07 18:11:39", "generalized_query": "Access a service API using credentials stored in a supervisor application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f15dcc97e8fc4aa6b9e5e243179e3e7d", "memory_type": "procedural", "when_to_use": "When retrieving song data from Spotify libraries, ensure all potential sources (songs, albums, playlists) are fully checked.", "content": "Failing to check all relevant data sources (e.g., playlists) can lead to incomplete results. The agent only checked song and album libraries but overlooked playlist-contained songs not in the song/album libraries.", "score": 0, "time_created": "2025-11-07 18:12:17", "time_modified": "2025-11-07 18:12:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving song data from Spotify libraries, ensure all potential sources (songs, albums, playlists) are fully checked.", "category": "failure", "created_time": "2025-11-07 18:12:17", "modified_time": "2025-11-07 18:12:17", "generalized_query": "Identify the earliest released media item across multiple user libraries.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ac1f0b28a25c44789fc7da5837e57ac7", "memory_type": "procedural", "when_to_use": "When retrieving the most recent song from user libraries, ensure cross-library references are validated", "content": "Always verify the existence of referenced IDs in primary libraries before attempting lookups to avoid null results", "score": 0, "time_created": "2025-11-07 18:12:17", "time_modified": "2025-11-07 18:12:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving the most recent song from user libraries, ensure cross-library references are validated", "category": "failure", "created_time": "2025-11-07 18:12:17", "modified_time": "2025-11-07 18:12:17", "generalized_query": "Identify the most recent item across multiple user libraries with potential cross-reference dependencies", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e5c58080ae044c7ab97772f7313456b0", "memory_type": "procedural", "when_to_use": "When handling authentication-sensitive operations, validate credential usage against API requirements.", "content": "Authentication tokens must be properly scoped and validated before accessing user-specific endpoints.", "score": 0, "time_created": "2025-11-07 18:12:32", "time_modified": "2025-11-07 18:12:32", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When handling authentication-sensitive operations, validate credential usage against API requirements.", "category": "failure", "created_time": "2025-11-07 18:12:32", "modified_time": "2025-11-07 18:12:32", "generalized_query": "Access user-specific data requiring authentication tokens.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b1754afcc1bd4e55b2aee5ac5066faf5", "memory_type": "procedural", "when_to_use": "When integrating multiple APIs for task automation, especially involving authentication and data parsing", "content": "The higher-scoring approach systematically retrieved credentials via supervisor API, maintained proper authentication tokens throughout the workflow, and used precise data parsing (e.g., regex-like splitting of note content). It avoided redundant steps by directly sending payment requests after data extraction, whereas the lower-scoring approach had authentication errors, used inefficient list operations, and included unnecessary checks of sent requests.", "score": 0, "time_created": "2025-11-07 18:12:40", "time_modified": "2025-11-07 18:12:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make payment requests for others with a description note 'Work Dinner'", "when_to_use": "When integrating multiple APIs for task automation, especially involving authentication and data parsing", "category": "comparative", "created_time": "2025-11-07 18:12:40", "modified_time": "2025-11-07 18:12:40", "generalized_query": "Automate cross-platform financial transactions using API integrations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "649e06289ef4469a96c2259d0f2380e7", "memory_type": "procedural", "when_to_use": "When using third-party credential stores for API authentication", "content": "Implement explicit security checks and audit trails when accessing stored credentials across multiple services", "score": 0, "time_created": "2025-11-07 18:12:41", "time_modified": "2025-11-07 18:12:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Retrieve Venmo/Simple Note credentials from supervisor app passwords", "when_to_use": "When using third-party credential stores for API authentication", "category": "failure", "created_time": "2025-11-07 18:12:41", "modified_time": "2025-11-07 18:12:41", "generalized_query": "Accessing stored credentials for multi-service API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e857e21281a34437bd1907f377a50d00", "memory_type": "procedural", "when_to_use": "When retrieving chronological data from paginated APIs", "content": "Assuming 'added_at' timestamp represents release date may be incorrect - need to verify if API provides actual release date metadata", "score": 0, "time_created": "2025-11-07 18:12:27", "time_modified": "2025-11-07 18:12:27", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving chronological data from paginated APIs", "category": "failure", "created_time": "2025-11-07 18:12:27", "modified_time": "2025-11-07 18:12:27", "generalized_query": "Identify the earliest chronological entry in a user's media library across multiple data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c33f8643083f46039b48437798a7142c", "memory_type": "procedural", "when_to_use": "When handling authentication credentials", "content": "Should verify token validity and implement refresh mechanisms for long-running operations", "score": 0, "time_created": "2025-11-07 18:12:27", "time_modified": "2025-11-07 18:12:27", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When handling authentication credentials", "category": "failure", "created_time": "2025-11-07 18:12:27", "modified_time": "2025-11-07 18:12:27", "generalized_query": "Accessing user-specific data requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6865407377bd48f5a953d7b1efc576bb", "memory_type": "procedural", "when_to_use": "When interacting with APIs that return structured data, especially when keys are assumed based on documentation", "content": "Always validate API response structures before accessing nested keys to avoid KeyError exceptions", "score": 0, "time_created": "2025-11-07 18:12:55", "time_modified": "2025-11-07 18:12:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make payment requests for others with a description note 'Friends Dinner'", "when_to_use": "When interacting with APIs that return structured data, especially when keys are assumed based on documentation", "category": "failure", "created_time": "2025-11-07 18:12:55", "modified_time": "2025-11-07 18:12:55", "generalized_query": "Automate payment requests based on extracted financial data from notes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "43efb81209fe4f699a958a81b0a4766e", "memory_type": "procedural", "when_to_use": "When parsing financial data from text-based notes", "content": "Implement data sanitization steps (e.g., currency symbol removal) before type conversion to handle formatting inconsistencies", "score": 0, "time_created": "2025-11-07 18:12:55", "time_modified": "2025-11-07 18:12:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Parse note content to extract expense shares", "when_to_use": "When parsing financial data from text-based notes", "category": "failure", "created_time": "2025-11-07 18:12:55", "modified_time": "2025-11-07 18:12:55", "generalized_query": "Extract numerical values from formatted text content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6c7e58f4f8844fab8733dd1aacec38fc", "memory_type": "procedural", "when_to_use": "When creating payment requests to external services", "content": "Verify contact existence through phone app integration before initiating payment requests to avoid 409 errors", "score": 0, "time_created": "2025-11-07 18:12:55", "time_modified": "2025-11-07 18:12:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Create payment requests for remaining friends", "when_to_use": "When creating payment requests to external services", "category": "failure", "created_time": "2025-11-07 18:12:55", "modified_time": "2025-11-07 18:12:55", "generalized_query": "Execute financial transactions based on contact information", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f73a8858b0394c3b9b776d34448a017f", "memory_type": "procedural", "when_to_use": "When extracting credentials or data from structured lists", "content": "Always verify data structure operations - list comprehensions should filter, not compare - and validate credentials before use", "score": 0, "time_created": "2025-11-07 18:13:15", "time_modified": "2025-11-07 18:13:15", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make payment requests for others with a description note 'Dinner with Colleagues'", "when_to_use": "When extracting credentials or data from structured lists", "category": "failure", "created_time": "2025-11-07 18:13:15", "modified_time": "2025-11-07 18:13:15", "generalized_query": "Automatically retrieve and validate user credentials from account management systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "35e6ba50de7b46d8afbe0a44f6abccc6", "memory_type": "procedural", "when_to_use": "When handling API authentication tokens", "content": "Always refresh and verify access tokens before critical operations, as tokens may expire or become invalid between requests", "score": 0, "time_created": "2025-11-07 18:13:15", "time_modified": "2025-11-07 18:13:15", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Creating payment request for Travis for $17", "when_to_use": "When handling API authentication tokens", "category": "failure", "created_time": "2025-11-07 18:13:15", "modified_time": "2025-11-07 18:13:15", "generalized_query": "Maintain valid authentication tokens for financial transaction APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "549a0d6c4ffe41b398698e596fae245b", "memory_type": "procedural", "when_to_use": "When preparing payment recipient information", "content": "Use contact management systems to validate recipient identities and obtain proper contact details for payment requests", "score": 0, "time_created": "2025-11-07 18:13:15", "time_modified": "2025-11-07 18:13:15", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Payment request failed due to invalid email format", "when_to_use": "When preparing payment recipient information", "category": "failure", "created_time": "2025-11-07 18:13:15", "modified_time": "2025-11-07 18:13:15", "generalized_query": "Verify recipient contact information before initiating financial transactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8099f6e3d9cd4332b86403a3bfdf99bb", "memory_type": "procedural", "when_to_use": "When retrieving precise transaction data filtered by specific relationships (e.g., roommates) requires cross-app verification", "content": "The higher-scoring approach achieved accuracy by first identifying roommates via the phone app's contact relationships (ensuring verified email addresses) before querying Venmo transactions. This avoided relying on potentially ambiguous transaction descriptions. The lower-scoring approach used a keyword search ('roommate') in Venmo transactions, which risks including unrelated transactions with similar descriptions.", "score": 0, "time_created": "2025-11-07 18:13:17", "time_modified": "2025-11-07 18:13:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When retrieving precise transaction data filtered by specific relationships (e.g., roommates) requires cross-app verification", "category": "comparative", "created_time": "2025-11-07 18:13:17", "modified_time": "2025-11-07 18:13:17", "generalized_query": "Calculating monetary transfers to specific relationship groups across financial platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "63b80ea3e6bd4fcd857a0b4186646152", "memory_type": "procedural", "when_to_use": "When retrieving financial data with date ranges", "content": "Always validate date parameters against API format requirements (YYYY-MM-DD) and consider time zone implications", "score": 0, "time_created": "2025-11-07 18:13:19", "time_modified": "2025-11-07 18:13:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When retrieving financial data with date ranges", "category": "failure", "created_time": "2025-11-07 18:13:19", "modified_time": "2025-11-07 18:13:19", "generalized_query": "Aggregate financial transactions within specific temporal boundaries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4ecaad63525147e4aa91ebcf6e031760", "memory_type": "procedural", "when_to_use": "When querying paginated API endpoints with filters", "content": "The successful implementation used: 1) Looping through paginated results with page_index increment 2) Applying multiple filters (user_email, min_created_at, direction) in API calls 3) Accumulating results across pages. This ensured complete data collection despite API pagination limits.", "score": 0, "time_created": "2025-11-07 18:13:30", "time_modified": "2025-11-07 18:13:30", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When querying paginated API endpoints with filters", "category": "success", "created_time": "2025-11-07 18:13:30", "modified_time": "2025-11-07 18:13:30", "generalized_query": "Retrieve and aggregate data from paginated API endpoints with multiple filters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b96ace86ecf54142ae188b5251b65bed", "memory_type": "procedural", "when_to_use": "When retrieving transaction data filtered by specific users or groups", "content": "Always explicitly filter transactions by recipient identifiers (like email) when the query specifies particular relationships (e.g., 'coworkers') rather than relying solely on transaction direction", "score": 0, "time_created": "2025-11-07 18:13:21", "time_modified": "2025-11-07 18:13:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When retrieving transaction data filtered by specific users or groups", "category": "failure", "created_time": "2025-11-07 18:13:21", "modified_time": "2025-11-07 18:13:21", "generalized_query": "Calculate aggregated financial transactions between the user and specific contacts over a time period", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "90b030a8f3f9495f950cd15a94de419d", "memory_type": "procedural", "when_to_use": "When encountering API errors related to credential validation or data filtering", "content": "The agent successfully resolved 401 errors by: 1) Correctly identifying the appropriate username (phone number vs. email), 2) Using the supervisor API to programmatically retrieve stored credentials, and 3) Implementing proper error handling during login attempts. This demonstrates the importance of credential management and API-specific authentication requirements.", "score": 0, "time_created": "2025-11-07 18:13:26", "time_modified": "2025-11-07 18:13:26", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When encountering API errors related to credential validation or data filtering", "category": "success", "created_time": "2025-11-07 18:13:26", "modified_time": "2025-11-07 18:13:26", "generalized_query": "Troubleshoot and resolve API authentication/authorization issues in multi-step data retrieval workflows", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "52e8867417fe4b50818cce0dbac24aa9", "memory_type": "procedural", "when_to_use": "When needing to follow artists of specific genres across user playlists", "content": "Successful pattern involved: 1) Retrieving user playlists with pagination 2) Extracting song IDs 3) Filtering classical songs via genre check 4) Compiling unique artists 5) Following each artist using access token. Works because it systematically processes music library data through API layers while maintaining deduplication.", "score": 0, "time_created": "2025-11-07 18:13:56", "time_modified": "2025-11-07 18:13:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify.", "when_to_use": "When needing to follow artists of specific genres across user playlists", "category": "success", "created_time": "2025-11-07 18:13:56", "modified_time": "2025-11-07 18:13:56", "generalized_query": "Automatically follow creators of content matching specific criteria across user libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "13e315f1348443edb048dcbd09784167", "memory_type": "procedural", "when_to_use": "When developing user preference-driven automation", "content": "Successful decision pattern: Using the supervisor API to complete tasks after achieving goals. The implementation properly maintained authentication tokens across operations and handled API rate limits through paginated requests.", "score": 0, "time_created": "2025-11-07 18:13:56", "time_modified": "2025-11-07 18:13:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify.", "when_to_use": "When developing user preference-driven automation", "category": "success", "created_time": "2025-11-07 18:13:56", "modified_time": "2025-11-07 18:13:56", "generalized_query": "Automate social connections based on user content preferences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "49a9cebcbbbc49a7b6885f182f9c00ff", "memory_type": "procedural", "when_to_use": "When working with nested API data structures", "content": "Always verify API response schema structure before accessing nested fields to prevent KeyErrors", "score": 0, "time_created": "2025-11-07 18:14:05", "time_modified": "2025-11-07 18:14:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify.", "when_to_use": "When working with nested API data structures", "category": "failure", "created_time": "2025-11-07 18:14:05", "modified_time": "2025-11-07 18:14:05", "generalized_query": "Extract data from API responses with explicit field validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "adead082dcad46a7ae08d7751d5ca705", "memory_type": "procedural", "when_to_use": "When retrieving specific account details from a list of accounts", "content": "Use generator expressions with next() instead of list comprehensions for single-item retrieval to avoid type errors", "score": 0, "time_created": "2025-11-07 18:13:52", "time_modified": "2025-11-07 18:13:52", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When retrieving specific account details from a list of accounts", "category": "failure", "created_time": "2025-11-07 18:13:52", "modified_time": "2025-11-07 18:13:52", "generalized_query": "Extracting specific user credentials from a list of stored account passwords", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b4e11f87ed2a4eb2a7e04050060bdcb0", "memory_type": "procedural", "when_to_use": "When executing multi-step API workflows", "content": "Always validate API response success states before proceeding with subsequent operations", "score": 0, "time_created": "2025-11-07 18:13:52", "time_modified": "2025-11-07 18:13:52", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When executing multi-step API workflows", "category": "failure", "created_time": "2025-11-07 18:13:52", "modified_time": "2025-11-07 18:13:52", "generalized_query": "Authenticating and querying financial data from secure platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a21704576994421d88da1b793775c9b8", "memory_type": "procedural", "when_to_use": "When submitting task answers to external systems with strict data type requirements", "content": "Always validate data types against API specifications before submission, as type mismatches cause validation errors even if content is logically correct.", "score": 0, "time_created": "2025-11-07 18:14:27", "time_modified": "2025-11-07 18:14:27", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify.", "when_to_use": "When submitting task answers to external systems with strict data type requirements", "category": "failure", "created_time": "2025-11-07 18:14:27", "modified_time": "2025-11-07 18:14:27", "generalized_query": "Executing task completion with data type validation requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c0a07b20a3ba49c8a560228f540e02af", "memory_type": "procedural", "when_to_use": "When needing to follow all artists of a specific genre across playlists", "content": "Successfully retrieved user playlists, extracted song metadata, identified artist IDs through nested API calls, and executed bulk follow operations. The critical pattern was combining playlist traversal with genre-based search to ensure comprehensive artist discovery.", "score": 0, "time_created": "2025-11-07 18:14:30", "time_modified": "2025-11-07 18:14:30", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When needing to follow all artists of a specific genre across playlists", "category": "success", "created_time": "2025-11-07 18:14:30", "modified_time": "2025-11-07 18:14:30", "generalized_query": "Automatically follow all creators associated with content matching a specific criterion across user libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d5a0a725d51041b1bc970ea480732d17", "memory_type": "procedural", "when_to_use": "When executing bulk operations requiring access tokens", "content": "Maintained consistent use of access token throughout operations after initial login. The pattern of storing authentication results and reusing them for subsequent API calls ensured secure and continuous session management.", "score": 0, "time_created": "2025-11-07 18:14:30", "time_modified": "2025-11-07 18:14:30", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow multiple artists using Spotify API", "when_to_use": "When executing bulk operations requiring access tokens", "category": "success", "created_time": "2025-11-07 18:14:30", "modified_time": "2025-11-07 18:14:30", "generalized_query": "Perform authenticated bulk actions on social media platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "68d562d85dac4b5c9c7672397110e92a", "memory_type": "procedural", "when_to_use": "When parsing file content for numerical data in bill files", "content": "Assumptions about file content format can lead to parsing failures; always verify file structure before extraction", "score": 0, "time_created": "2025-11-07 18:14:45", "time_modified": "2025-11-07 18:14:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the total cost of my internet bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When parsing file content for numerical data in bill files", "category": "failure", "created_time": "2025-11-07 18:14:45", "modified_time": "2025-11-07 18:14:45", "generalized_query": "Extracting numerical values from structured text files in a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "31801580604747f9b9065d7c6f90751c", "memory_type": "procedural", "when_to_use": "When accessing directory contents with API calls", "content": "Recursive directory traversal parameters may need adjustment based on actual directory structure", "score": 0, "time_created": "2025-11-07 18:14:45", "time_modified": "2025-11-07 18:14:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extracting bill files from the \"~/bills/\" directory", "when_to_use": "When accessing directory contents with API calls", "category": "failure", "created_time": "2025-11-07 18:14:45", "modified_time": "2025-11-07 18:14:45", "generalized_query": "Retrieving file listings from a file system API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "10a5fdc559dd43d4ad77e0030f796bfd", "memory_type": "procedural", "when_to_use": "When extracting numerical data from text fields that include currency symbols or non-numeric characters", "content": "Always preprocess text-based numerical values by removing currency symbols and non-numeric characters before conversion to float", "score": 0, "time_created": "2025-11-07 18:14:47", "time_modified": "2025-11-07 18:14:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When extracting numerical data from text fields that include currency symbols or non-numeric characters", "category": "failure", "created_time": "2025-11-07 18:14:47", "modified_time": "2025-11-07 18:14:47", "generalized_query": "Extracting numerical values from text content containing non-numeric characters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "755774339d23487fa134adff8398d4bd", "memory_type": "procedural", "when_to_use": "When retrieving specific values from list comprehensions or generator expressions", "content": "Use generator expressions with next() instead of list comprehensions when expecting single-value returns to avoid boolean misinterpretation", "score": 0, "time_created": "2025-11-07 18:14:47", "time_modified": "2025-11-07 18:14:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extracting the file_system password from the supervisor's account passwords", "when_to_use": "When retrieving specific values from list comprehensions or generator expressions", "category": "failure", "created_time": "2025-11-07 18:14:47", "modified_time": "2025-11-07 18:14:47", "generalized_query": "Retrieving specific items from collections using conditional logic", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "04352eeb7cac4b58aa2ddbd34d11bed2", "memory_type": "procedural", "when_to_use": "When handling API response data with mixed file types (text vs binary)", "content": "Always verify file content type before parsing and implement content-type aware processing workflows", "score": 0, "time_created": "2025-11-07 18:14:47", "time_modified": "2025-11-07 18:14:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Summing electricity bill amounts from files in ~/bills/electricity directory", "when_to_use": "When handling API response data with mixed file types (text vs binary)", "category": "failure", "created_time": "2025-11-07 18:14:47", "modified_time": "2025-11-07 18:14:47", "generalized_query": "Processing mixed file types in directory listings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3d74bfd77c1e48928e5de871bccc8829", "memory_type": "procedural", "when_to_use": "When filtering songs by genre to follow artists", "content": "Always explicitly filter search results by genre parameter rather than relying on playlist metadata which may not contain accurate genre tags", "score": 0, "time_created": "2025-11-07 18:14:26", "time_modified": "2025-11-07 18:14:26", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify.", "when_to_use": "When filtering songs by genre to follow artists", "category": "failure", "created_time": "2025-11-07 18:14:26", "modified_time": "2025-11-07 18:14:26", "generalized_query": "Follow artists based on song genre filters across user playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "610018bacfe24f6186b1960820ab8bda", "memory_type": "procedural", "when_to_use": "When executing API calls with string parameters", "content": "Always validate string literals and ensure proper syntax termination in API request construction to prevent execution failures", "score": 0, "time_created": "2025-11-07 18:14:26", "time_modified": "2025-11-07 18:14:26", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'll now follow the artist associated with this song.", "when_to_use": "When executing API calls with string parameters", "category": "failure", "created_time": "2025-11-07 18:14:26", "modified_time": "2025-11-07 18:14:26", "generalized_query": "Execute API operations with properly formatted string parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "448b84d0991d4a98b6c3b60e0e346a9c", "memory_type": "procedural", "when_to_use": "When accessing protected file system resources requiring authentication tokens", "content": "The higher-scoring approach ensured consistent use of access tokens across all API calls after login, avoiding authentication errors. It also implemented precise year-filtering (2023) during file selection, whereas the lower-scoring approach initially omitted the access token and included 2022 files in the calculation. The higher approach's strict filtering and token management prevented both authorization failures and data inclusion errors.", "score": 0, "time_created": "2025-11-07 18:15:19", "time_modified": "2025-11-07 18:15:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When accessing protected file system resources requiring authentication tokens", "category": "comparative", "created_time": "2025-11-07 18:15:19", "modified_time": "2025-11-07 18:15:19", "generalized_query": "Calculate total expenses from specific files in a protected directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "77331e27e4d144e89cd5f7feb17484a7", "memory_type": "procedural", "when_to_use": "When parsing structured text files for financial data", "content": "Reliable data extraction requires explicit validation of file format consistency. Assume no uniformity in file structures unless explicitly documented.", "score": 0, "time_created": "2025-11-07 18:15:21", "time_modified": "2025-11-07 18:15:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extracting total_amount from cable bill files with consistent formatting", "when_to_use": "When parsing structured text files for financial data", "category": "failure", "created_time": "2025-11-07 18:15:21", "modified_time": "2025-11-07 18:15:21", "generalized_query": "Extracting numerical values from semi-structured text documents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3f8443edfac34d6f9cbc302e0eebb2cf", "memory_type": "procedural", "when_to_use": "When interacting with supervisor task management system", "content": "Always confirm task completion requirements (format, units, precision) before submission. Verify the target API endpoint's expected response format.", "score": 0, "time_created": "2025-11-07 18:15:21", "time_modified": "2025-11-07 18:15:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Completing supervisor task with calculated total_cost", "when_to_use": "When interacting with supervisor task management system", "category": "failure", "created_time": "2025-11-07 18:15:21", "modified_time": "2025-11-07 18:15:21", "generalized_query": "Submitting task results through supervisor API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a04cffae310141fea7122ebd57bcdc9c", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require precise parameter naming and validation", "content": "Always verify API parameter names against documentation to avoid validation errors caused by incorrect parameter naming conventions.", "score": 0, "time_created": "2025-11-07 18:15:36", "time_modified": "2025-11-07 18:15:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations.", "when_to_use": "When interacting with APIs that require precise parameter naming and validation", "category": "failure", "created_time": "2025-11-07 18:15:36", "modified_time": "2025-11-07 18:15:36", "generalized_query": "Organizing files into subdirectories based on metadata criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a73cda1e1f0a4b28895c5d63c58e0eb0", "memory_type": "procedural", "when_to_use": "When performing bulk file operations after directory structure modifications", "content": "Verify source file existence before operations when directory structures may change dynamically during execution.", "score": 0, "time_created": "2025-11-07 18:15:36", "time_modified": "2025-11-07 18:15:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move them into sub-directories named after their respective vacation spots", "when_to_use": "When performing bulk file operations after directory structure modifications", "category": "failure", "created_time": "2025-11-07 18:15:36", "modified_time": "2025-11-07 18:15:36", "generalized_query": "Relocating files to new directory structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "81c96cb84e0c4bf6b7f4750cb4bddbce", "memory_type": "procedural", "when_to_use": "When authenticating to a protected API without an access token", "content": "Successfully retrieved stored credentials from supervisor API, authenticated via login endpoint, and used access token for subsequent operations. This ensures secure access to file system operations when initial requests fail due to missing authentication.", "score": 0, "time_created": "2025-11-07 18:15:47", "time_modified": "2025-11-07 18:15:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations.", "when_to_use": "When authenticating to a protected API without an access token", "category": "success", "created_time": "2025-11-07 18:15:47", "modified_time": "2025-11-07 18:15:47", "generalized_query": "Organize files in a directory using authentication credentials stored in a supervisor system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ecfee4f847a0458c82855d0bb32a02c6", "memory_type": "procedural", "when_to_use": "When categorizing files based on metadata timestamps", "content": "Extracted creation dates from file metadata, used date ranges (Feb/Mar 2023) to categorize files into vacation-specific groups. This approach leverages temporal metadata for automated file classification, ensuring accurate organization without manual tagging.", "score": 0, "time_created": "2025-11-07 18:15:47", "time_modified": "2025-11-07 18:15:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations.", "when_to_use": "When categorizing files based on metadata timestamps", "category": "success", "created_time": "2025-11-07 18:15:47", "modified_time": "2025-11-07 18:15:47", "generalized_query": "Categorize files into date-based groups using metadata extraction", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "5e1594692d9d48feae1808e29ce0ec31", "memory_type": "procedural", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "content": "Always verify authentication status and include required tokens in API requests to avoid 401 Unauthorized errors", "score": 0, "time_created": "2025-11-07 18:15:54", "time_modified": "2025-11-07 18:15:54", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:15:54", "modified_time": "2025-11-07 18:15:54", "generalized_query": "Organizing files in a directory using API operations with authentication requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "cbb22db769fb42e3affd42130e5c2640", "memory_type": "procedural", "when_to_use": "When parsing file metadata for organizational tasks", "content": "Reliance on file naming conventions for date parsing is error-prone; use API metadata endpoints (like show_file) for accurate creation date information", "score": 0, "time_created": "2025-11-07 18:15:54", "time_modified": "2025-11-07 18:15:54", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The files created in March and April of this year correspond to Rome and Santorini, respectively", "when_to_use": "When parsing file metadata for organizational tasks", "category": "failure", "created_time": "2025-11-07 18:15:54", "modified_time": "2025-11-07 18:15:54", "generalized_query": "Categorizing files based on metadata with API-driven date validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f55ca8053e254be5a443e8c527ca2350", "memory_type": "procedural", "when_to_use": "When organizing files into directories based on metadata-driven rules requiring API authentication", "content": "Successful execution required: 1) Proper authentication flow (login + token usage), 2) Using file metadata (created_at) rather than filename patterns for date determination, 3) Correct API parameter mapping (source_file_path/destination_file_path). The agent demonstrated adaptability by switching from filename parsing to metadata extraction after encountering format inconsistencies.", "score": 0, "time_created": "2025-11-07 18:15:54", "time_modified": "2025-11-07 18:15:54", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations. The files created in January and April of this year correspond to Athens and Seoul, respectively, while the others are from Paris. Move them into sub-directories named after their respective vacation spots, maintaining the original file names.", "when_to_use": "When organizing files into directories based on metadata-driven rules requiring API authentication", "category": "success", "created_time": "2025-11-07 18:15:54", "modified_time": "2025-11-07 18:15:54", "generalized_query": "Organize files into directories based on metadata (creation date) with API-based authentication and folder structure management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d2ef322a67ba41d1be9e6d7bdf984f0f", "memory_type": "procedural", "when_to_use": "When creating directories with potential parent directory dependencies", "content": "Use recursive=True parameter when creating directories to ensure parent directories are automatically created if they don't exist.", "score": 0, "time_created": "2025-11-07 18:15:59", "time_modified": "2025-11-07 18:15:59", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move them into sub-directories named after their respective vacation spots", "when_to_use": "When creating directories with potential parent directory dependencies", "category": "failure", "created_time": "2025-11-07 18:15:59", "modified_time": "2025-11-07 18:15:59", "generalized_query": "Creating nested directory structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "61023a4aa2854422af183a5f831a21bb", "memory_type": "procedural", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "content": "The higher-scoring approach consistently included access_token in all required API calls and properly handled token acquisition/refresh workflows. The lower-scoring approach had multiple authentication failures due to missing tokens and incorrect parameter passing in API requests.", "score": 0, "time_created": "2025-11-07 18:16:01", "time_modified": "2025-11-07 18:16:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations... Move them into sub-directories named after their respective vacation spots, maintaining the original file names.", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "category": "comparative", "created_time": "2025-11-07 18:16:01", "modified_time": "2025-11-07 18:16:01", "generalized_query": "Securely access and manipulate file systems through authenticated API calls", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d4550059f806474080e83a7801e0902f", "memory_type": "procedural", "when_to_use": "When removing items based on release date rather than addition date in a library system", "content": "The higher-scoring approach correctly identified that 'added_at' in the library does not indicate release date, and used the 'show_song' API to fetch accurate release dates. This ensured removal criteria matched the task requirements. The lower-scoring approach incorrectly relied on 'added_at' without verifying release dates, leading to incomplete/potentially incorrect removals.", "score": 0, "time_created": "2025-11-07 18:16:08", "time_modified": "2025-11-07 18:16:08", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year", "when_to_use": "When removing items based on release date rather than addition date in a library system", "category": "comparative", "created_time": "2025-11-07 18:16:08", "modified_time": "2025-11-07 18:16:08", "generalized_query": "Remove items from a library/playlists based on metadata (e.g., release date) rather than timestamps of addition", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "04a86ae2669f4b8496b7cf001538c0a0", "memory_type": "procedural", "when_to_use": "When interacting with API documentation", "content": "Avoid redundant API documentation queries - retrieve and analyze API descriptions once, then use the information for subsequent operations rather than repeatedly fetching the same data", "score": 0, "time_created": "2025-11-07 18:16:03", "time_modified": "2025-11-07 18:16:03", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year", "when_to_use": "When interacting with API documentation", "category": "failure", "created_time": "2025-11-07 18:16:03", "modified_time": "2025-11-07 18:16:03", "generalized_query": "Access and utilize API documentation effectively", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f29d0bfe5e804de79eeba76ac4daccd2", "memory_type": "procedural", "when_to_use": "When modifying user data across multiple endpoints", "content": "Validate cross-component operations with transactional safeguards to prevent partial updates and maintain data consistency", "score": 0, "time_created": "2025-11-07 18:16:14", "time_modified": "2025-11-07 18:16:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove songs from both library and playlists", "when_to_use": "When modifying user data across multiple endpoints", "category": "failure", "created_time": "2025-11-07 18:16:14", "modified_time": "2025-11-07 18:16:14", "generalized_query": "Perform coordinated data modifications across related system components", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3d7fed358b2a4da48ac9e55305fa348e", "memory_type": "procedural", "when_to_use": "When interacting with protected APIs that require authentication tokens", "content": "Always verify API authentication requirements and ensure valid access tokens are included in requests", "score": 0, "time_created": "2025-11-07 18:16:47", "time_modified": "2025-11-07 18:16:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today", "when_to_use": "When interacting with protected APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:16:47", "modified_time": "2025-11-07 18:16:47", "generalized_query": "Accessing protected resources through API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "141c33587fcf4657af3bccd6882077c3", "memory_type": "procedural", "when_to_use": "When integrating with APIs that require authentication tokens and handling playlist creation/searching in music streaming services", "content": "The higher-scoring approach achieved success by leveraging existing playlists through efficient API querying rather than creating new ones. It correctly handled authentication flow, used generator expressions for password lookup, and directly utilized a pre-existing 'K-Pop Kingdom' playlist with one song (instead of creating a new one). This avoided errors from playlist creation parameters and reduced API calls compared to the lower-scoring approach which required multiple search_songs calls.", "score": 0, "time_created": "2025-11-07 18:16:55", "time_modified": "2025-11-07 18:16:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout.", "when_to_use": "When integrating with APIs that require authentication tokens and handling playlist creation/searching in music streaming services", "category": "comparative", "created_time": "2025-11-07 18:16:55", "modified_time": "2025-11-07 18:16:55", "generalized_query": "Automatically select and play a pre-existing music playlist that matches a user's activity requirements without manual intervention", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "bcaca96defc546899feecd3ad134a250", "memory_type": "procedural", "when_to_use": "When filtering songs or playlists based on release dates", "content": "Always verify the exact date field (e.g., release_date vs. added_at) when filtering by release year to avoid incorrect assumptions about item age", "score": 0, "time_created": "2025-11-07 18:16:45", "time_modified": "2025-11-07 18:16:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When filtering songs or playlists based on release dates", "category": "failure", "created_time": "2025-11-07 18:16:45", "modified_time": "2025-11-07 18:16:45", "generalized_query": "Remove items from a music library/playlists based on release date criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "79033419d1ad4efba99e3841bf40451e", "memory_type": "procedural", "when_to_use": "When executing API operations in code sequences", "content": "Avoid including natural language comments in code execution sequences as they cause syntax errors in API call execution environments", "score": 0, "time_created": "2025-11-07 18:16:45", "time_modified": "2025-11-07 18:16:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Check the playlists next to ensure we remove any songs from there as well.", "when_to_use": "When executing API operations in code sequences", "category": "failure", "created_time": "2025-11-07 18:16:45", "modified_time": "2025-11-07 18:16:45", "generalized_query": "Execute API calls to modify music library contents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f4d3d9af9f8c4a67a1fda2c258d00f24", "memory_type": "procedural", "when_to_use": "When working with paginated API endpoints and nested collections", "content": "Implement explicit type checking and structure validation when working with paginated API results to avoid index errors and data mismatches.", "score": 0, "time_created": "2025-11-07 18:16:48", "time_modified": "2025-11-07 18:16:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When working with paginated API endpoints and nested collections", "category": "failure", "created_time": "2025-11-07 18:16:48", "modified_time": "2025-11-07 18:16:48", "generalized_query": "Process and modify items across multiple API endpoints with pagination support", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1a7f2fb855a341c3aaf037aed3cb3c05", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requires authentication tokens and credentials are stored in a supervisor app", "content": "Successfully retrieved authentication credentials from supervisor app, used them to login to target app (simple_note/spotify), and handled 401 errors by implementing proper token-based authentication flow. This pattern ensures secure access to user data across applications.", "score": 0, "time_created": "2025-11-07 18:16:50", "time_modified": "2025-11-07 18:16:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today", "when_to_use": "When accessing protected APIs requires authentication tokens and credentials are stored in a supervisor app", "category": "success", "created_time": "2025-11-07 18:16:50", "modified_time": "2025-11-07 18:16:50", "generalized_query": "Accessing user-specific data across apps requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1949b411b2a243edad4e0d5517aeb4bc", "memory_type": "procedural", "when_to_use": "When parsing API response data structures", "content": "Always validate API response structure before accessing nested attributes, using conditional checks for key existence", "score": 0, "time_created": "2025-11-07 18:16:57", "time_modified": "2025-11-07 18:16:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extract exercise names and durations from the workout plan", "when_to_use": "When parsing API response data structures", "category": "failure", "created_time": "2025-11-07 18:16:57", "modified_time": "2025-11-07 18:16:57", "generalized_query": "Handling nested or unexpected data structures in API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ca140783f645427296950f9cc3a086a6", "memory_type": "procedural", "when_to_use": "When managing playlist content duplication", "content": "Implement pre-addition existence checks for playlist items using API verification before attempting to add duplicates", "score": 0, "time_created": "2025-11-07 18:16:57", "time_modified": "2025-11-07 18:16:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add songs to the workout playlist", "when_to_use": "When managing playlist content duplication", "category": "failure", "created_time": "2025-11-07 18:16:57", "modified_time": "2025-11-07 18:16:57", "generalized_query": "Avoiding duplicate content in playlist management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c380a0d3efa640f485475f0813e4d73f", "memory_type": "procedural", "when_to_use": "When interacting with APIs that have evolving or complex data structures", "content": "Always verify API response schemas before accessing nested fields, as key names (e.g., 'release_date' vs 'added_at') and data structures (e.g., 'songs' array vs 'song_ids' list) can differ from initial assumptions", "score": 0, "time_created": "2025-11-07 18:16:36", "time_modified": "2025-11-07 18:16:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year", "when_to_use": "When interacting with APIs that have evolving or complex data structures", "category": "failure", "created_time": "2025-11-07 18:16:36", "modified_time": "2025-11-07 18:16:36", "generalized_query": "Modify music library content based on temporal metadata filters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d33ffdd9a63c41569d4e66479f4ac3af", "memory_type": "procedural", "when_to_use": "When executing multi-step data modification workflows", "content": "Validate intermediate results at each transformation step to catch schema mismatches early, especially when dealing with temporal data and collection updates", "score": 0, "time_created": "2025-11-07 18:16:36", "time_modified": "2025-11-07 18:16:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove songs from library and update playlists", "when_to_use": "When executing multi-step data modification workflows", "category": "failure", "created_time": "2025-11-07 18:16:36", "modified_time": "2025-11-07 18:16:36", "generalized_query": "Execute coordinated data modifications across related system components", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c533dc6c4a1042c9831fc9bdd9bd5c5a", "memory_type": "procedural", "when_to_use": "When handling nested data structures or API responses with heterogeneous data types, especially when filtering or validating collections.", "content": "The higher-scoring approach resolved a critical TypeError by correctly interpreting album['song_ids'] (a list of integers) rather than attempting to subscript individual song_id keys. This demonstrated precise understanding of API response schemas and data types, ensuring compatibility between downloaded_song_ids (a set of integers) and album song ID validation logic.", "score": 0, "time_created": "2025-11-07 18:17:42", "time_modified": "2025-11-07 18:17:42", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Identify songs to keep (liked or downloaded) and albums to keep (all songs downloaded)", "when_to_use": "When handling nested data structures or API responses with heterogeneous data types, especially when filtering or validating collections.", "category": "comparative", "created_time": "2025-11-07 18:17:42", "modified_time": "2025-11-07 18:17:42", "generalized_query": "Filtering data based on nested conditions in paginated API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "95689c6de5154563b8fe0c6fcfebe818", "memory_type": "procedural", "when_to_use": "When implementing bulk removal operations with conditional dependencies between data entities", "content": "The higher-scoring approach ensured complete data retrieval through proper pagination handling (while True loop with page_index increment) before performing deletions. This guaranteed comprehensive coverage of all library items, unlike the lower-scoring approach which might have missed partial results from incomplete pagination. The use of set.union() for combining criteria also demonstrated optimized filtering logic.", "score": 0, "time_created": "2025-11-07 18:17:42", "time_modified": "2025-11-07 18:17:42", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Remove songs not in songs_to_keep and albums not in albums_to_keep", "when_to_use": "When implementing bulk removal operations with conditional dependencies between data entities", "category": "comparative", "created_time": "2025-11-07 18:17:42", "modified_time": "2025-11-07 18:17:42", "generalized_query": "Conditional bulk deletion with cross-entity validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6234bcb8f8144a31a6da2f819d0005aa", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens", "content": "Authentication must be explicitly handled before making API calls that require access tokens. Failing to retrieve or verify the access token upfront leads to immediate execution failures.", "score": 0, "time_created": "2025-11-07 18:17:47", "time_modified": "2025-11-07 18:17:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest. An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When interacting with APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:17:47", "modified_time": "2025-11-07 18:17:47", "generalized_query": "Executing operations on a music library requiring API authentication and data filtering", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "63eed26d11b34483bca4c5f84c5f432f", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requires authentication and the user has stored credentials in a supervisor app", "content": "Successful authentication flow required retrieving stored passwords from supervisor app, using them to login via API, and handling token-based authentication. This pattern ensures secure access to protected endpoints when credentials are centralized.", "score": 0, "time_created": "2025-11-07 18:17:36", "time_modified": "2025-11-07 18:17:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today", "when_to_use": "When accessing protected APIs requires authentication and the user has stored credentials in a supervisor app", "category": "success", "created_time": "2025-11-07 18:17:36", "modified_time": "2025-11-07 18:17:36", "generalized_query": "Authenticate and retrieve resources from a service using stored credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4840e7ccf9424fd0b810295650b7b110", "memory_type": "procedural", "when_to_use": "When selecting resources from a list requires filtering based on content availability", "content": "Effective filtering of playlists by checking song_ids length ensured selection of non-empty playlists. This approach prevents selecting invalid/empty resources and ensures functional outcomes.", "score": 0, "time_created": "2025-11-07 18:17:36", "time_modified": "2025-11-07 18:17:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The workout plan is in Simple Note", "when_to_use": "When selecting resources from a list requires filtering based on content availability", "category": "success", "created_time": "2025-11-07 18:17:36", "modified_time": "2025-11-07 18:17:36", "generalized_query": "Filter and select valid resources from a collection based on content criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f0dc9b02690f4d36a7d2b6250d1b5d68", "memory_type": "procedural", "when_to_use": "When interacting with API endpoints that require strict parameter formatting", "content": "Always validate API parameter requirements against documented specifications, including type constraints and format expectations (e.g., integer vs string, list structures). Repeated type conversion attempts without success indicate a fundamental mismatch between data format and API expectations.", "score": 0, "time_created": "2025-11-07 18:18:01", "time_modified": "2025-11-07 18:18:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout.", "when_to_use": "When interacting with API endpoints that require strict parameter formatting", "category": "failure", "created_time": "2025-11-07 18:18:01", "modified_time": "2025-11-07 18:18:01", "generalized_query": "Automatically generate and populate a music playlist based on user-defined criteria from external data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "2539bd8d05e94e8bb797d50c27d422f1", "memory_type": "procedural", "when_to_use": "When needing to filter digital media libraries based on user engagement metrics (likes/downloads) with nested dependencies (e.g., albums requiring all songs to be downloaded)", "content": "Successful implementation of nested filtering logic: 1) Used set operations for O(1) lookups to identify songs/albums to keep 2) Implemented album validation by checking if all constituent songs were downloaded 3) Systematically removed non-compliant items using API operations. This approach ensured data integrity while respecting user-defined dependency rules.", "score": 0, "time_created": "2025-11-07 18:18:09", "time_modified": "2025-11-07 18:18:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest. An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When needing to filter digital media libraries based on user engagement metrics (likes/downloads) with nested dependencies (e.g., albums requiring all songs to be downloaded)", "category": "success", "created_time": "2025-11-07 18:18:09", "modified_time": "2025-11-07 18:18:09", "generalized_query": "Filter a media library to retain items based on user engagement (likes/downloads) with composite rules for dependent items", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "0e89c1196f0b4d4bbcd83c400240e5c2", "memory_type": "procedural", "when_to_use": "When needing to filter user libraries based on intersection of multiple criteria (e.g., liked + downloaded items)", "content": "Successfully used set intersections to identify retention candidates (songs/albums that are both liked and downloaded). Implemented pagination handling to ensure complete data retrieval from APIs. Used functional checks (e.g., is_album_downloaded) to validate composite conditions for albums requiring all songs to be downloaded.", "score": 0, "time_created": "2025-11-07 18:17:51", "time_modified": "2025-11-07 18:17:51", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked and downloaded, and remove the rest.", "when_to_use": "When needing to filter user libraries based on intersection of multiple criteria (e.g., liked + downloaded items)", "category": "success", "created_time": "2025-11-07 18:17:51", "modified_time": "2025-11-07 18:17:51", "generalized_query": "Filter and retain items in a library that meet multiple user-defined criteria (e.g., liked + downloaded status)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "adba85d7088f4ace84aebdec6ff6e3e8", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require specific authorization scopes for modification actions", "content": "Access tokens must include the necessary authorization scopes for modification operations (e.g., library management). Repeated login attempts without proper scope validation will result in persistent 401 errors.", "score": 0, "time_created": "2025-11-07 18:18:01", "time_modified": "2025-11-07 18:18:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked and downloaded, and remove the rest.", "when_to_use": "When interacting with APIs that require specific authorization scopes for modification actions", "category": "failure", "created_time": "2025-11-07 18:18:01", "modified_time": "2025-11-07 18:18:01", "generalized_query": "Modifying user data in a music library based on specific criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "011de5ba465941c39a85b6f80cc2de3b", "memory_type": "procedural", "when_to_use": "When extracting specific data from a list of dictionaries", "content": "Use generator expressions with next() instead of list comprehensions for direct value retrieval to avoid type errors", "score": 0, "time_created": "2025-11-07 18:18:39", "time_modified": "2025-11-07 18:18:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extract the file_system password from the passwords list", "when_to_use": "When extracting specific data from a list of dictionaries", "category": "failure", "created_time": "2025-11-07 18:18:39", "modified_time": "2025-11-07 18:18:39", "generalized_query": "Retrieve a specific value from a list of objects based on a key-value match", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "69a850a7f37942ed8d7010eee4d2fc0b", "memory_type": "procedural", "when_to_use": "When interacting with file compression APIs", "content": "Always verify API output specifications against task requirements (e.g., .tar vs .zip) and handle format discrepancies explicitly", "score": 0, "time_created": "2025-11-07 18:18:39", "time_modified": "2025-11-07 18:18:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Compress directories into .tar files", "when_to_use": "When interacting with file compression APIs", "category": "failure", "created_time": "2025-11-07 18:18:39", "modified_time": "2025-11-07 18:18:39", "generalized_query": "Ensure API output format matches task requirements for file types", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1ee65aba3adb4ec4a1835c5346689a9b", "memory_type": "procedural", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "content": "Always verify API authentication requirements and include access tokens in requests after obtaining them through proper login flows", "score": 0, "time_created": "2025-11-07 18:18:43", "time_modified": "2025-11-07 18:18:43", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Compress them and save them in \"~/photos/vacations/<vacation_spot>.tar\" for each vacation spot, and then delete all vacation spot sub-directories", "when_to_use": "When interacting with protected APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:18:43", "modified_time": "2025-11-07 18:18:43", "generalized_query": "Perform file system operations requiring API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6a7ac66400d4473fbf17b7af1fc09469", "memory_type": "procedural", "when_to_use": "When interacting with file system APIs that require authentication and directory validation", "content": "Always verify directory existence and validity before performing operations, especially after prior deletions or when processing dynamic directory lists", "score": 0, "time_created": "2025-11-07 18:19:14", "time_modified": "2025-11-07 18:19:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Compress them and save them in \"~/pictures/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories.", "when_to_use": "When interacting with file system APIs that require authentication and directory validation", "category": "failure", "created_time": "2025-11-07 18:19:14", "modified_time": "2025-11-07 18:19:14", "generalized_query": "Perform file operations (compression/deletion) on dynamically identified subdirectories while maintaining authentication and path validity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6848c48d08bb42ac802635d274ef46dc", "memory_type": "procedural", "when_to_use": "When encountering API endpoint errors related to authentication or missing parameters", "content": "The successful resolution involved: 1) Identifying authentication requirements from API documentation 2) Retrieving stored credentials via supervisor API 3) Properly passing access_token parameter in subsequent API calls 4) Implementing token persistence across sequential operations", "score": 0, "time_created": "2025-11-07 18:19:21", "time_modified": "2025-11-07 18:19:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The execution failed due to missing access token when calling show_directory", "when_to_use": "When encountering API endpoint errors related to authentication or missing parameters", "category": "success", "created_time": "2025-11-07 18:19:21", "modified_time": "2025-11-07 18:19:21", "generalized_query": "Handle API authentication requirements in file system operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1ddb7a2cbba74c9db2ce3c1041998948", "memory_type": "procedural", "when_to_use": "When interacting with file system APIs that require authentication tokens", "content": "Always verify API authentication requirements and ensure tokens are properly obtained and included in requests", "score": 0, "time_created": "2025-11-07 18:18:46", "time_modified": "2025-11-07 18:18:46", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Compress them and save them in \"~/photographs/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories", "when_to_use": "When interacting with file system APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:18:46", "modified_time": "2025-11-07 18:18:46", "generalized_query": "Perform file operations requiring authentication on a file system API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d9c68563cc4240e497653bf259e4ea9a", "memory_type": "procedural", "when_to_use": "When processing directory structures with nested subdirectories", "content": "The higher-scoring approach used direct path validation (/home/nicholas/photographs/vacations/<spot>/) while the lower-scoring approach used flawed filtering with excessive file extension exclusions. The higher approach correctly parsed directory names from full paths using string splitting, while the lower approach had multiple failed attempts with complex list comprehensions.", "score": 0, "time_created": "2025-11-07 18:18:48", "time_modified": "2025-11-07 18:18:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Identify vacation directories in ~/photographs/vacations/", "when_to_use": "When processing directory structures with nested subdirectories", "category": "comparative", "created_time": "2025-11-07 18:18:48", "modified_time": "2025-11-07 18:18:48", "generalized_query": "Extract meaningful directory names from file system listings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d8e90798599549ad9f92f68f26351ac7", "memory_type": "procedural", "when_to_use": "When executing destructive operations (like directory deletion)", "content": "The agent implemented a sequential workflow where deletion followed compression, ensuring data was properly archived before removal. This pattern minimizes data loss risks during cleanup operations.", "score": 0, "time_created": "2025-11-07 18:19:02", "time_modified": "2025-11-07 18:19:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "and then delete all vacation spot sub-directories", "when_to_use": "When executing destructive operations (like directory deletion)", "category": "success", "created_time": "2025-11-07 18:19:02", "modified_time": "2025-11-07 18:19:02", "generalized_query": "Perform post-processing cleanup after data transformation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7b89b20fa909480a8e0b03914fbd8769", "memory_type": "procedural", "when_to_use": "When retrieving song recommendations for specific genres or timeframes", "content": "Always validate recommendation filters (genre, release date) explicitly rather than assuming API results match criteria", "score": 0, "time_created": "2025-11-07 18:19:26", "time_modified": "2025-11-07 18:19:26", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist.", "when_to_use": "When retrieving song recommendations for specific genres or timeframes", "category": "failure", "created_time": "2025-11-07 18:19:26", "modified_time": "2025-11-07 18:19:26", "generalized_query": "Curate music based on genre-specific recommendations with temporal constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "37ef9babb30949d1a964d7e725893a4c", "memory_type": "procedural", "when_to_use": "When executing multi-step tasks involving authentication and data manipulation", "content": "Always verify that authentication tokens are valid for the duration of the task and cross-check API responses against task requirements to prevent partial or incorrect execution.", "score": 0, "time_created": "2025-11-07 18:19:19", "time_modified": "2025-11-07 18:19:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist.", "when_to_use": "When executing multi-step tasks involving authentication and data manipulation", "category": "failure", "created_time": "2025-11-07 18:19:19", "modified_time": "2025-11-07 18:19:19", "generalized_query": "Securely authenticate and manipulate data across APIs while ensuring task-specific constraints are met", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b30145a2acf349d192f44732927324e6", "memory_type": "procedural", "when_to_use": "When filtering songs by genre or release year based on textual patterns", "content": "Relying on keyword matching (e.g., \"R&B\" in title/artist) is error-prone for genre classification; use explicit metadata fields like 'genre' or 'release_date' instead", "score": 0, "time_created": "2025-11-07 18:19:51", "time_modified": "2025-11-07 18:19:51", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new \"Spotify R&B Recommendations\" playlist.", "when_to_use": "When filtering songs by genre or release year based on textual patterns", "category": "failure", "created_time": "2025-11-07 18:19:51", "modified_time": "2025-11-07 18:19:51", "generalized_query": "Filtering items by metadata attributes (genre, release year) using imprecise string matching", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a15cde3796e54e7bb9356ad7393f2861", "memory_type": "procedural", "when_to_use": "When authenticating to access user-specific API endpoints", "content": "Retrieved stored account passwords, executed login flow, and extracted access token - a critical decision point that enabled subsequent API calls. The pattern demonstrates proper credential management and authentication sequence for secure API access.", "score": 0, "time_created": "2025-11-07 18:19:59", "time_modified": "2025-11-07 18:19:59", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Obtain access token for Spotify API authentication", "when_to_use": "When authenticating to access user-specific API endpoints", "category": "success", "created_time": "2025-11-07 18:19:59", "modified_time": "2025-11-07 18:19:59", "generalized_query": "Secure API access credentials through authentication flow", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1b99cc2a263145e6aad5f98fc7055041", "memory_type": "procedural", "when_to_use": "When processing paginated API responses with unknown result sizes", "content": "Implemented a while-loop with incremental page_index to ensure complete retrieval of all recommendation results. This technique effectively handles unknown result volumes and ensures data completeness in paginated API interactions.", "score": 0, "time_created": "2025-11-07 18:19:59", "time_modified": "2025-11-07 18:19:59", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Retrieve all Spotify recommendations across multiple pages", "when_to_use": "When processing paginated API responses with unknown result sizes", "category": "success", "created_time": "2025-11-07 18:19:59", "modified_time": "2025-11-07 18:19:59", "generalized_query": "Handle paginated API responses with dynamic page indexing", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8839a1e64eb3427182fd7927e767586a", "memory_type": "procedural", "when_to_use": "When accessing APIs that require authentication tokens, ensure the token is defined before use.", "content": "Always verify the existence and proper initialization of authentication tokens before invoking APIs that depend on them.", "score": 0, "time_created": "2025-11-07 18:20:00", "time_modified": "2025-11-07 18:20:00", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When accessing APIs that require authentication tokens, ensure the token is defined before use.", "category": "failure", "created_time": "2025-11-07 18:20:00", "modified_time": "2025-11-07 18:20:00", "generalized_query": "Interacting with an API that requires an access token for authorized actions.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "19c5d9b6579245bea2f1b0799d78c310", "memory_type": "procedural", "when_to_use": "When interacting with music player queue operations", "content": "Verify current state before performing actions (e.g., check if song is already liked before liking)", "score": 0, "time_created": "2025-11-07 18:20:04", "time_modified": "2025-11-07 18:20:04", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with music player queue operations", "category": "failure", "created_time": "2025-11-07 18:20:04", "modified_time": "2025-11-07 18:20:04", "generalized_query": "Modify user preferences for media content in a queue system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a5bf4f7506624a4d816d48ad269cd46b", "memory_type": "procedural", "when_to_use": "When retrieving data from APIs, ensure it aligns with task-specific filters (e.g., genre, year).", "content": "Assumptions about data alignment with task requirements can lead to incorrect results; always verify filters like genre and release year explicitly.", "score": 0, "time_created": "2025-11-07 18:20:05", "time_modified": "2025-11-07 18:20:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new \"R&B Recommendation\" playlist.", "when_to_use": "When retrieving data from APIs, ensure it aligns with task-specific filters (e.g., genre, year).", "category": "failure", "created_time": "2025-11-07 18:20:05", "modified_time": "2025-11-07 18:20:05", "generalized_query": "Filter and validate API data to meet task-specific criteria before processing.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b2a303f234d3409cadf981c8b11284d3", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens", "content": "Always verify authentication credentials are available before making protected API calls", "score": 0, "time_created": "2025-11-07 18:20:08", "time_modified": "2025-11-07 18:20:08", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:20:08", "modified_time": "2025-11-07 18:20:08", "generalized_query": "Perform actions on items in a music player queue requiring API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "0e19c428af444e5ba5264a6f54aa51c2", "memory_type": "procedural", "when_to_use": "When needing to reverse an accidental payment via Venmo by identifying the most recent approved transaction", "content": "Successfully retrieved approved payment requests using the Venmo API, filtered for the target recipient, sorted by approval timestamp, and executed a reversal transaction with matching amount and description. The step-by-step API interaction pattern ensured accurate transaction identification and reversal.", "score": 0, "time_created": "2025-11-07 18:20:53", "time_modified": "2025-11-07 18:20:53", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send them the money back", "when_to_use": "When needing to reverse an accidental payment via Venmo by identifying the most recent approved transaction", "category": "success", "created_time": "2025-11-07 18:20:53", "modified_time": "2025-11-07 18:20:53", "generalized_query": "Reverse a specific payment transaction through a financial platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d714549f5953446eacc227ac4788f3f5", "memory_type": "procedural", "when_to_use": "When authenticating to a financial service with stored credentials", "content": "Implemented secure credential retrieval from a password manager, handled authentication failures gracefully, and validated access tokens before executing transactions. This pattern ensures secure API access while handling common authentication edge cases.", "score": 0, "time_created": "2025-11-07 18:20:53", "time_modified": "2025-11-07 18:20:53", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send them the money back", "when_to_use": "When authenticating to a financial service with stored credentials", "category": "success", "created_time": "2025-11-07 18:20:53", "modified_time": "2025-11-07 18:20:53", "generalized_query": "Authenticate to a financial platform using stored user credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "89f02c31611f4db99f26c41daac6962b", "memory_type": "procedural", "when_to_use": "When making API calls that require specific parameter names", "content": "API parameter names must exactly match documentation specifications (e.g., 'receiver_email' vs. 'recipient_email') to avoid validation errors.", "score": 0, "time_created": "2025-11-07 18:20:56", "time_modified": "2025-11-07 18:20:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send them the money back.", "when_to_use": "When making API calls that require specific parameter names", "category": "failure", "created_time": "2025-11-07 18:20:56", "modified_time": "2025-11-07 18:20:56", "generalized_query": "Executing a transaction via API with required parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3f2905c64ebe438883dde74e97277170", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens", "content": "Always verify authentication credentials are available before invoking API endpoints that require them. Implement fallback mechanisms to obtain missing tokens (e.g., via login flows) before proceeding with core operations.", "score": 0, "time_created": "2025-11-07 18:20:57", "time_modified": "2025-11-07 18:20:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:20:57", "modified_time": "2025-11-07 18:20:57", "generalized_query": "Perform an action on all items in a user's media playback queue", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "786e5d00d7904ea6b7f065af2417caee", "memory_type": "procedural", "when_to_use": "When working with music player queue APIs", "content": "Always check for queue items' validity (e.g., non-null song IDs) before performing actions like liking songs.", "score": 0, "time_created": "2025-11-07 18:20:48", "time_modified": "2025-11-07 18:20:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When working with music player queue APIs", "category": "failure", "created_time": "2025-11-07 18:20:48", "modified_time": "2025-11-07 18:20:48", "generalized_query": "Manipulate music player queue items via API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "254fca1c753e4ef49489b66fcf26fa8c", "memory_type": "procedural", "when_to_use": "When completing tasks that require precise API response handling and minimal overhead", "content": "The higher-scoring sequence completed the task without explicitly passing an answer parameter to complete_task(), while the lower-scoring one included an answer string. Though both succeeded, the higher-scoring approach's omission of redundant parameters likely reflected stricter adherence to API expectations, reducing potential friction in task validation.", "score": 0, "time_created": "2025-11-07 18:21:12", "time_modified": "2025-11-07 18:21:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When completing tasks that require precise API response handling and minimal overhead", "category": "comparative", "created_time": "2025-11-07 18:21:12", "modified_time": "2025-11-07 18:21:12", "generalized_query": "Execute batch operations on a list of items retrieved from an API with proper authentication.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "bdf04216d8284045b6daec4ffd7021ce", "memory_type": "procedural", "when_to_use": "When needing to retrieve user-specific data from an API with authentication requirements", "content": "The higher-scoring approach systematically retrieved Cory's email via Venmo's search_users API after proper authentication, then filtered approved payment requests to identify the correct transaction. This contrasts with the lower-scoring approach which attempted to use a non-functional phone app API and hardcoded invalid email addresses. Proper API chaining (login → search → payment lookup → refund) with parameter validation ensured success.", "score": 0, "time_created": "2025-11-07 18:21:09", "time_modified": "2025-11-07 18:21:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When needing to retrieve user-specific data from an API with authentication requirements", "category": "comparative", "created_time": "2025-11-07 18:21:09", "modified_time": "2025-11-07 18:21:09", "generalized_query": "Refund an accidentally approved payment to a specific user via a financial platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7f2f046b762f4a5fae6a5b9dfcd09479", "memory_type": "procedural", "when_to_use": "When retrieving specific data from a list of objects, especially when filtering by a condition", "content": "Boolean list comprehensions must be handled differently than object lists; use generator expressions with next() for safe value extraction", "score": 0, "time_created": "2025-11-07 18:21:21", "time_modified": "2025-11-07 18:21:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "venmo_password = [account_password[\"account_name\"] == \"venmo\" for account_password in passwords][0][\"password\"]", "when_to_use": "When retrieving specific data from a list of objects, especially when filtering by a condition", "category": "failure", "created_time": "2025-11-07 18:21:21", "modified_time": "2025-11-07 18:21:21", "generalized_query": "Extracting a specific field from a list based on a conditional match", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6ebe569b6e994fa1b53bfdfcc2d587e9", "memory_type": "procedural", "when_to_use": "When interacting with API endpoints that require specific parameter names", "content": "Always verify API parameter names against official documentation to avoid 422 validation errors", "score": 0, "time_created": "2025-11-07 18:21:21", "time_modified": "2025-11-07 18:21:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "apis.venmo.create_payment_request(..., receiver_email=..., ...)", "when_to_use": "When interacting with API endpoints that require specific parameter names", "category": "failure", "created_time": "2025-11-07 18:21:21", "modified_time": "2025-11-07 18:21:21", "generalized_query": "Calling API methods with parameter name mismatches", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "55651cdcb93b4efba2670ee12ff06979", "memory_type": "procedural", "when_to_use": "When needing to retrieve user credentials from a secure store for API authentication", "content": "Successfully retrieved Venmo password from supervisor's secure password store using list comprehension, then used it for API login. Demonstrates proper credential handling through secure storage access and authentication flow.", "score": 0, "time_created": "2025-11-07 18:21:23", "time_modified": "2025-11-07 18:21:23", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Send them the money back.", "when_to_use": "When needing to retrieve user credentials from a secure store for API authentication", "category": "success", "created_time": "2025-11-07 18:21:23", "modified_time": "2025-11-07 18:21:23", "generalized_query": "Reverse an unintended financial transaction using stored credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8c1290c78fb84a2f8cc80f6fb8ae2d7a", "memory_type": "procedural", "when_to_use": "When processing transaction history to identify specific payments", "content": "Effectively filtered payment requests by recipient email, sorted by timestamp, and selected the most recent transaction. Shows strong pattern in transaction data processing and filtering.", "score": 0, "time_created": "2025-11-07 18:21:23", "time_modified": "2025-11-07 18:21:23", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The last Venmo payment request I sent to Brandon was an accident and they approved it", "when_to_use": "When processing transaction history to identify specific payments", "category": "success", "created_time": "2025-11-07 18:21:23", "modified_time": "2025-11-07 18:21:23", "generalized_query": "Identify and reverse specific inter-user transactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "21fabf9c0bef4cf3908266e9b56c9abc", "memory_type": "procedural", "when_to_use": "When handling paginated API responses to ensure complete data processing", "content": "The higher-scoring approach implemented a while-loop with pagination increment to retrieve all text messages (10 total) rather than relying on a single-page request (5 messages). This ensured complete deletion of all spam messages, while the lower-scoring approach only processed the first page of results.", "score": 0, "time_created": "2025-11-07 18:21:42", "time_modified": "2025-11-07 18:21:42", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When handling paginated API responses to ensure complete data processing", "category": "comparative", "created_time": "2025-11-07 18:21:42", "modified_time": "2025-11-07 18:21:42", "generalized_query": "Completely remove all messages from a specific contact using API pagination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "74caab6f385441968df66a96a7b36f6a", "memory_type": "procedural", "when_to_use": "When extracting specific data from a list of dictionaries, especially when filtering by a key-value pair", "content": "Avoid using list comprehensions that produce boolean values when intending to extract specific dictionary elements; use generator expressions with next() for safe single-item retrieval", "score": 0, "time_created": "2025-11-07 18:21:48", "time_modified": "2025-11-07 18:21:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When extracting specific data from a list of dictionaries, especially when filtering by a key-value pair", "category": "failure", "created_time": "2025-11-07 18:21:48", "modified_time": "2025-11-07 18:21:48", "generalized_query": "Delete all communications from a specific phone number identified as spam", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1a3a2b6e03e441c2a2e8a7ceb6037f0a", "memory_type": "procedural", "when_to_use": "When retrieving specific account credentials from a list of entries", "content": "The higher-scoring approach used a generator expression with next() to efficiently find the matching password, avoiding the boolean list comprehension error. This method is more memory-efficient and directly retrieves the value without creating intermediate boolean lists.", "score": 0, "time_created": "2025-11-07 18:21:48", "time_modified": "2025-11-07 18:21:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "phone_password = [account_password[\"account_name\"] == \"phone\" for account_password in passwords][0][\"password\"]", "when_to_use": "When retrieving specific account credentials from a list of entries", "category": "comparative", "created_time": "2025-11-07 18:21:48", "modified_time": "2025-11-07 18:21:48", "generalized_query": "Extracting a specific value from a list of dictionary entries based on a key-value match", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a8abf869a13843ad9798386f792bcf5a", "memory_type": "procedural", "when_to_use": "When handling paginated API responses for complete data deletion", "content": "The higher-scoring approach implemented a while-loop with page_index increment to handle pagination, ensuring all messages were retrieved and deleted. The lower-scoring approach only retrieved the first page of text messages and entirely omitted voice messages, leading to incomplete task execution.", "score": 0, "time_created": "2025-11-07 18:21:48", "time_modified": "2025-11-07 18:21:48", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Deleting all text and voice messages from a specific phone number", "when_to_use": "When handling paginated API responses for complete data deletion", "category": "comparative", "created_time": "2025-11-07 18:21:48", "modified_time": "2025-11-07 18:21:48", "generalized_query": "Ensuring complete deletion of paginated data results", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7f5528b906124ffc856827ec36612961", "memory_type": "procedural", "when_to_use": "When executing sequential API operations requiring authentication tokens", "content": "Proper token management and error handling during authentication is critical for API operation success; verify token validity before executing protected operations", "score": 0, "time_created": "2025-11-07 18:21:51", "time_modified": "2025-11-07 18:21:51", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When executing sequential API operations requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:21:51", "modified_time": "2025-11-07 18:21:51", "generalized_query": "Secure API operation execution with proper authentication handling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a6a66abda2b4468bbb906720822656ac", "memory_type": "procedural", "when_to_use": "When handling multi-step tasks requiring API pagination and error-resistant data extraction", "content": "The higher-scoring approach demonstrated superior efficiency through: 1) Complete message type coverage (both text and voice messages) 2) Robust error handling in password extraction using generator expressions 3) Pagination implementation for full message retrieval 4) Sequential task completion verification. These factors ensured total spam removal versus the lower-scoring approach's partial execution with first-page-only deletion.", "score": 0, "time_created": "2025-11-07 18:21:58", "time_modified": "2025-11-07 18:21:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When handling multi-step tasks requiring API pagination and error-resistant data extraction", "category": "comparative", "created_time": "2025-11-07 18:21:58", "modified_time": "2025-11-07 18:21:58", "generalized_query": "Comprehensive deletion of specific message types from a contact across paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "9e2817d9371b4931bd30480e6b8ca85b", "memory_type": "procedural", "when_to_use": "When extracting specific data from a list of objects, especially when filtering by a unique identifier", "content": "Use generator expressions or explicit loops instead of list comprehensions that produce boolean values when extracting specific fields from data structures", "score": 0, "time_created": "2025-11-07 18:22:06", "time_modified": "2025-11-07 18:22:06", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When extracting specific data from a list of objects, especially when filtering by a unique identifier", "category": "failure", "created_time": "2025-11-07 18:22:06", "modified_time": "2025-11-07 18:22:06", "generalized_query": "Delete all messages from a specific phone number across multiple message types (text/voice)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3a072885d28d43f7b02a21b624bde59b", "memory_type": "procedural", "when_to_use": "When working with protected APIs requiring credential retrieval", "content": "The agent successfully retrieved stored phone app credentials from the supervisor API, demonstrating a reliable pattern for credential management. This involved: 1) Identifying the correct password storage endpoint, 2) Filtering for the target app's password, 3) Using the password to authenticate. This approach ensures secure credential handling while maintaining system integrity.", "score": 0, "time_created": "2025-11-07 18:22:11", "time_modified": "2025-11-07 18:22:11", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When working with protected APIs requiring credential retrieval", "category": "success", "created_time": "2025-11-07 18:22:11", "modified_time": "2025-11-07 18:22:11", "generalized_query": "Access and use stored credentials to authenticate with a protected API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "17ef8387930c4bd2975f9b6f80fb5448", "memory_type": "procedural", "when_to_use": "When needing to authenticate with an API using stored credentials", "content": "The agent successfully retrieved stored Spotify credentials via the supervisor app's account password API, then used them to obtain an access token. This demonstrated the importance of leveraging available credential management systems for API authentication.", "score": 0, "time_created": "2025-11-07 18:22:12", "time_modified": "2025-11-07 18:22:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers.", "when_to_use": "When needing to authenticate with an API using stored credentials", "category": "success", "created_time": "2025-11-07 18:22:12", "modified_time": "2025-11-07 18:22:12", "generalized_query": "Authenticate with an API using stored credentials to perform user actions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "13a3ac0c35e44b11a1a53f3a094e14c4", "memory_type": "procedural", "when_to_use": "When performing filtered API searches with pagination requirements", "content": "The agent implemented a pagination loop with min_follower_count=22 and query='classical' parameters to ensure complete artist discovery. This pattern is effective for APIs with limited page sizes and requires careful parameter management to avoid incomplete results.", "score": 0, "time_created": "2025-11-07 18:22:12", "time_modified": "2025-11-07 18:22:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers.", "when_to_use": "When performing filtered API searches with pagination requirements", "category": "success", "created_time": "2025-11-07 18:22:12", "modified_time": "2025-11-07 18:22:12", "generalized_query": "Execute paginated API searches with filter parameters to collect comprehensive datasets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "bd026b17225b424984d6a2dcfdeafbb4", "memory_type": "procedural", "when_to_use": "When handling API rate limits or session expiration scenarios", "content": "API clients should include explicit error handling for authentication failures (401 errors) with automatic re-authentication mechanisms", "score": 0, "time_created": "2025-11-07 18:22:16", "time_modified": "2025-11-07 18:22:16", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers.", "when_to_use": "When handling API rate limits or session expiration scenarios", "category": "failure", "created_time": "2025-11-07 18:22:16", "modified_time": "2025-11-07 18:22:16", "generalized_query": "Implement error handling for authentication-related API failures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6126dbbf7fc147bab45014c9806e89ac", "memory_type": "procedural", "when_to_use": "When executing API-based tasks requiring authentication and pagination", "content": "The higher-scoring approach succeeded by: 1) Properly handling authentication via supervisor password retrieval and token-based login 2) Using precise API parameters (min_follower_count=23, genre='EDM') 3) Implementing full pagination to retrieve all results 4) Ensuring access token was passed in all API calls. The lower-scoring approach failed to handle authentication initially and used incorrect query formatting ('genre:edm' instead of genre='EDM')", "score": 0, "time_created": "2025-11-07 18:22:41", "time_modified": "2025-11-07 18:22:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When executing API-based tasks requiring authentication and pagination", "category": "comparative", "created_time": "2025-11-07 18:22:41", "modified_time": "2025-11-07 18:22:41", "generalized_query": "Execute multi-step API operations with authentication and data filtering", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b3b2be9c825a4bc09979590aadc6093e", "memory_type": "procedural", "when_to_use": "When implementing API client workflows with access tokens", "content": "The higher-scoring approach demonstrated better efficiency by: 1) Centralizing access token management 2) Passing the token consistently in all API calls 3) Handling authentication failures gracefully through supervisor integration. The lower-scoring approach attempted authentication but failed to propagate the token to all required API endpoints, leading to incomplete task execution.", "score": 0, "time_created": "2025-11-07 18:22:41", "time_modified": "2025-11-07 18:22:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When implementing API client workflows with access tokens", "category": "comparative", "created_time": "2025-11-07 18:22:41", "modified_time": "2025-11-07 18:22:41", "generalized_query": "Implement secure API client workflows with token-based authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b2201f5faba342e3b0644bbc75b45c1b", "memory_type": "procedural", "when_to_use": "When executing tasks requiring authentication via password retrieval from a supervisor system", "content": "The successful execution required retrieving Spotify credentials from the supervisor app, logging in, and handling authentication tokens. This pattern ensures secure access to user accounts while adhering to system-specific authentication workflows.", "score": 0, "time_created": "2025-11-07 18:22:43", "time_modified": "2025-11-07 18:22:43", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When executing tasks requiring authentication via password retrieval from a supervisor system", "category": "success", "created_time": "2025-11-07 18:22:43", "modified_time": "2025-11-07 18:22:43", "generalized_query": "Perform authenticated actions on a service by retrieving credentials from a supervisory system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "43a65a597f1040f99874386b6b9e6935", "memory_type": "procedural", "when_to_use": "When filtering and interacting with API resources based on specific criteria", "content": "The search_artists API was effectively used with genre and min_follower_count parameters to filter results. This demonstrates the importance of leveraging API parameters for precise data filtering before performing bulk actions like following multiple artists.", "score": 0, "time_created": "2025-11-07 18:22:43", "time_modified": "2025-11-07 18:22:43", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When filtering and interacting with API resources based on specific criteria", "category": "success", "created_time": "2025-11-07 18:22:43", "modified_time": "2025-11-07 18:22:43", "generalized_query": "Query and filter API resources using parameterized search criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "05cd30e0766c4122935d1bfb1cfad5ee", "memory_type": "procedural", "when_to_use": "When handling authentication token expiration during API operations", "content": "The failure due to an expired token highlighted the need for proactive token management. Re-logging in and reapplying the access token resolved the issue, emphasizing the importance of validating token validity before critical API operations.", "score": 0, "time_created": "2025-11-07 18:22:43", "time_modified": "2025-11-07 18:22:43", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When handling authentication token expiration during API operations", "category": "success", "created_time": "2025-11-07 18:22:43", "modified_time": "2025-11-07 18:22:43", "generalized_query": "Re-authenticate and refresh access tokens when encountering 401 unauthorized errors", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b1cd25c203244db693085e55c5d7cae4", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens", "content": "Always verify token validity and properly store/retrieve access tokens from login responses to avoid 401 unauthorized errors", "score": 0, "time_created": "2025-11-07 18:23:12", "time_modified": "2025-11-07 18:23:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make venmo requests to my roommates, with a description note, 'internet bill for the last month.'", "when_to_use": "When interacting with APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:23:12", "modified_time": "2025-11-07 18:23:12", "generalized_query": "Executing financial transactions via API requiring authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "76c6dc42c2174c9bb1d295e1d1a21444", "memory_type": "procedural", "when_to_use": "When accessing files in a file system, especially when the file path is not guaranteed to exist", "content": "Always verify the existence of a file path before attempting to access it, as assumed paths may not match the actual file structure. Use directory listing APIs to locate files dynamically when the exact path is uncertain.", "score": 0, "time_created": "2025-11-07 18:23:12", "time_modified": "2025-11-07 18:23:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I paid for our last month's internet bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, 'internet bill for the last month.'. The bill receipt is in my file system.", "when_to_use": "When accessing files in a file system, especially when the file path is not guaranteed to exist", "category": "failure", "created_time": "2025-11-07 18:23:12", "modified_time": "2025-11-07 18:23:12", "generalized_query": "Retrieve a file from a file system and use its content to perform financial transactions with multiple parties", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "be2cbfc847bb44be95a11a3bf057c172", "memory_type": "procedural", "when_to_use": "When extracting specific data from a list of dictionary objects", "content": "Use generator expressions with next() instead of list comprehensions for boolean checks when extracting specific values from lists. This avoids creating lists of booleans and directly retrieves the desired value.", "score": 0, "time_created": "2025-11-07 18:23:12", "time_modified": "2025-11-07 18:23:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extract the venmo password from the supervisor's account passwords list", "when_to_use": "When extracting specific data from a list of dictionary objects", "category": "failure", "created_time": "2025-11-07 18:23:12", "modified_time": "2025-11-07 18:23:12", "generalized_query": "Retrieve specific values from a list of key-value pairs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b3f7ec86dfab4a50b2eccf20869104d8", "memory_type": "procedural", "when_to_use": "When calculating shared costs among multiple parties", "content": "Explicitly clarify assumptions about group composition (e.g., whether the requester should be included in the division). Use comments or validation checks to document and verify distribution logic.", "score": 0, "time_created": "2025-11-07 18:23:12", "time_modified": "2025-11-07 18:23:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Calculate the amount to be shared with each roommate based on the total bill amount", "when_to_use": "When calculating shared costs among multiple parties", "category": "failure", "created_time": "2025-11-07 18:23:12", "modified_time": "2025-11-07 18:23:12", "generalized_query": "Divide a total amount among multiple recipients with potential edge cases", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7a1cc3c211a84e659ba77ad994c457b7", "memory_type": "procedural", "when_to_use": "When handling multi-step authentication and data retrieval workflows", "content": "The higher-scoring approach systematically retrieved credentials via supervisor app, authenticated to file_system/phone/venmo with proper parameters, parsed bill amounts with currency formatting handling, and accurately filtered roommates via contact relationships. The lower-scoring approach failed authentication due to incorrect parameter usage (email vs phone number), had parsing errors with currency symbols, and used incomplete roommate identification via Venmo search.", "score": 0, "time_created": "2025-11-07 18:23:11", "time_modified": "2025-11-07 18:23:11", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make venmo requests to my roommates, with a description note, 'For electricity bill.' The bill receipt is in my file system.", "when_to_use": "When handling multi-step authentication and data retrieval workflows", "category": "comparative", "created_time": "2025-11-07 18:23:11", "modified_time": "2025-11-07 18:23:11", "generalized_query": "Automate bill splitting and payment requests using integrated app APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b936f92ba7e7418f87ab7ba454fafa72", "memory_type": "procedural", "when_to_use": "When making API requests that require specific parameters", "content": "Always verify parameter names and required fields in API documentation to avoid validation errors.", "score": 0, "time_created": "2025-11-07 18:23:21", "time_modified": "2025-11-07 18:23:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make venmo requests to my roommates, with a description note, 'For electricity bill.'", "when_to_use": "When making API requests that require specific parameters", "category": "failure", "created_time": "2025-11-07 18:23:21", "modified_time": "2025-11-07 18:23:21", "generalized_query": "Creating payment requests via an API with required parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "a12b28832fed4b648da081390488ede2", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requiring authentication tokens", "content": "Always verify authentication requirements for APIs and maintain session tokens across operations", "score": 0, "time_created": "2025-11-07 18:23:34", "time_modified": "2025-11-07 18:23:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I paid for our last month's cable bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, \"I paid for cable bill.\" The bill receipt is in my file system.", "when_to_use": "When accessing protected APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-07 18:23:34", "modified_time": "2025-11-07 18:23:34", "generalized_query": "Accessing secured systems to retrieve data for financial distribution tasks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "53ca4a956903410299c25b3877454bd8", "memory_type": "procedural", "when_to_use": "When handling user input dependencies in task execution", "content": "Implement robust input validation and clear user prompting mechanisms for dependent task parameters", "score": 0, "time_created": "2025-11-07 18:23:34", "time_modified": "2025-11-07 18:23:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "The cable bill amount is $128. Since it needs to be shared equally among you and your roommates, I'll need to know how many roommates you have to calculate the amount each person should pay. Could you please provide the number of roommates?", "when_to_use": "When handling user input dependencies in task execution", "category": "failure", "created_time": "2025-11-07 18:23:34", "modified_time": "2025-11-07 18:23:34", "generalized_query": "Managing incomplete task information requiring user clarification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e992d06c76724d6c9ddf445ecc711012", "memory_type": "procedural", "when_to_use": "When working with API parameters for payment requests", "content": "Parameter name accuracy is critical - initial failure used 'recipient_email' instead of documented 'user_email' parameter for Venmo API", "score": 0, "time_created": "2025-11-07 18:23:27", "time_modified": "2025-11-07 18:23:27", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Make venmo requests to my roommates, with a description note, \"I paid for cable bill.\"", "when_to_use": "When working with API parameters for payment requests", "category": "failure", "created_time": "2025-11-07 18:23:27", "modified_time": "2025-11-07 18:23:27", "generalized_query": "Creating payment requests in a social payment application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "37bea09a1f7a45a6845286e7ee4b8bf0", "memory_type": "procedural", "when_to_use": "When interacting with a protected API that requires authentication tokens for access", "content": "Successful execution required first obtaining an access token via API login, then using that token in subsequent API calls. The critical pattern was recognizing the 401 error indicated authentication failure, then systematically retrieving credentials, authenticating, and re-attempting the operation with proper authorization headers.", "score": 0, "time_created": "2025-11-07 18:23:31", "time_modified": "2025-11-07 18:23:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done", "when_to_use": "When interacting with a protected API that requires authentication tokens for access", "category": "success", "created_time": "2025-11-07 18:23:31", "modified_time": "2025-11-07 18:23:31", "generalized_query": "Update a specific task status in a protected note-taking system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3610f64f93344e2faae184d6a89c45fb", "memory_type": "procedural", "when_to_use": "When needing to modify content in a note-based task tracking system", "content": "The successful pattern involved: 1) Searching for the correct note using query parameters 2) Fetching the note content 3) Modifying the markdown checklist item 4) Updating the note with the modified content. This worked because the system used markdown syntax ([x] for completed items) that was directly manipulatable as plain text.", "score": 0, "time_created": "2025-11-07 18:23:31", "time_modified": "2025-11-07 18:23:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done", "when_to_use": "When needing to modify content in a note-based task tracking system", "category": "success", "created_time": "2025-11-07 18:23:31", "modified_time": "2025-11-07 18:23:31", "generalized_query": "Update checklist items in structured notes with markdown formatting", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "9a86795622d345bd98445a3c777d70d8", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens", "content": "Always verify authentication requirements before making API calls that modify data. Authentication tokens must be obtained and included in requests to avoid 401 errors.", "score": 0, "time_created": "2025-11-07 18:23:50", "time_modified": "2025-11-07 18:23:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done.", "when_to_use": "When interacting with APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:23:50", "modified_time": "2025-11-07 18:23:50", "generalized_query": "Updating a note status in a protected note-taking application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "35fae67b5fb24bbb9dd9845b47310e5e", "memory_type": "procedural", "when_to_use": "When retrieving credentials from structured data formats", "content": "Use generator expressions with explicit filtering (e.g., next() with a generator) instead of list comprehensions for boolean checks when extracting values from structured data to avoid type errors.", "score": 0, "time_created": "2025-11-07 18:23:50", "time_modified": "2025-11-07 18:23:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "simple_note_password = [account_password[\"account_name\"] == \"simple_note\" for account_password in passwords][0][\"password\"]", "when_to_use": "When retrieving credentials from structured data formats", "category": "failure", "created_time": "2025-11-07 18:23:50", "modified_time": "2025-11-07 18:23:50", "generalized_query": "Extracting specific credentials from a list of account password records", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4883c485bf8a4ce0adf73f240e97c47f", "memory_type": "procedural", "when_to_use": "When needing to modify content in a note-based system with tagging", "content": "Effectively modified markdown checklist content by: 1) Searching notes with query 2) Retrieving full note content 3) Programmatically updating checklist item status 4) Using update_note API with modified content. This approach preserves note structure while making precise content changes.", "score": 0, "time_created": "2025-11-07 18:23:50", "time_modified": "2025-11-07 18:23:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done", "when_to_use": "When needing to modify content in a note-based system with tagging", "category": "success", "created_time": "2025-11-07 18:23:50", "modified_time": "2025-11-07 18:23:50", "generalized_query": "Update checklist items in structured note content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "914f1a32fbf44e5784b2bd340b89c89f", "memory_type": "procedural", "when_to_use": "When accessing APIs that require authentication tokens", "content": "Always verify authentication tokens are obtained before making API calls that require them", "score": 0, "time_created": "2025-11-07 18:24:17", "time_modified": "2025-11-07 18:24:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest", "when_to_use": "When accessing APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:24:17", "modified_time": "2025-11-07 18:24:17", "generalized_query": "Modify a specific device setting while managing authentication credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "0a39a32a0bee4e9eb8538d80ced349a8", "memory_type": "procedural", "when_to_use": "When processing API response data structures", "content": "Use explicit iteration rather than list comprehensions for conditional data extraction when working with complex data structures", "score": 0, "time_created": "2025-11-07 18:24:17", "time_modified": "2025-11-07 18:24:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest", "when_to_use": "When processing API response data structures", "category": "failure", "created_time": "2025-11-07 18:24:17", "modified_time": "2025-11-07 18:24:17", "generalized_query": "Extract specific data from nested API response formats", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "9097cab111254504ac48df1d0c214af8", "memory_type": "procedural", "when_to_use": "When making assumptions about device settings", "content": "Validate assumptions about device settings (e.g., earliest alarm = sleep alarm) with explicit user confirmation when critical system changes are involved", "score": 0, "time_created": "2025-11-07 18:24:17", "time_modified": "2025-11-07 18:24:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest", "when_to_use": "When making assumptions about device settings", "category": "failure", "created_time": "2025-11-07 18:24:17", "modified_time": "2025-11-07 18:24:17", "generalized_query": "Modify device settings based on inferred user intent", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "fb71d2a9d17245e28c02e7ead8ebc1ad", "memory_type": "procedural", "when_to_use": "When retrieving specific data from a list of items, especially when filtering by a condition", "content": "Use generator expressions with next() instead of list comprehensions that return boolean values when extracting specific data fields", "score": 0, "time_created": "2025-11-07 18:24:37", "time_modified": "2025-11-07 18:24:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When retrieving specific data from a list of items, especially when filtering by a condition", "category": "failure", "created_time": "2025-11-07 18:24:37", "modified_time": "2025-11-07 18:24:37", "generalized_query": "Modify a specific item in a list while applying changes to other items based on conditions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "22c877e636794e77bb5bc7af5f37ef23", "memory_type": "procedural", "when_to_use": "When making assumptions about unique identifiers or labels in data structures", "content": "Always verify uniqueness of identifiers/labels before making modifications, and implement fallback mechanisms for ambiguous cases", "score": 0, "time_created": "2025-11-07 18:24:37", "time_modified": "2025-11-07 18:24:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When making assumptions about unique identifiers or labels in data structures", "category": "failure", "created_time": "2025-11-07 18:24:37", "modified_time": "2025-11-07 18:24:37", "generalized_query": "Modify system settings based on labeled entries with potential duplicates", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "8a08fb7e40c942979023fc034974eeaf", "memory_type": "procedural", "when_to_use": "When implementing batch operations on system components", "content": "Implement transactional operations with rollback capabilities when making coordinated system changes", "score": 0, "time_created": "2025-11-07 18:24:37", "time_modified": "2025-11-07 18:24:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When implementing batch operations on system components", "category": "failure", "created_time": "2025-11-07 18:24:37", "modified_time": "2025-11-07 18:24:37", "generalized_query": "Perform coordinated updates across multiple system elements with interdependencies", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b51eaa94593c4a388a818377eb85aca4", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens", "content": "Always verify authentication requirements before making API calls; failing to obtain access tokens will result in authorization failures.", "score": 0, "time_created": "2025-11-07 18:24:37", "time_modified": "2025-11-07 18:24:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When interacting with APIs that require authentication tokens", "category": "failure", "created_time": "2025-11-07 18:24:37", "modified_time": "2025-11-07 18:24:37", "generalized_query": "Modify a specific system setting and disable others through API interactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "1d9d0f8852bc4637b8077ccd46aa11fb", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requires authentication tokens and the task involves updating user data in a note-taking app", "content": "Successful authentication flow required first retrieving credentials from supervisor app, then using login API to obtain access token. This token had to be explicitly passed in all subsequent API calls. When searching for notes, using query parameter with partial title matched the formatted note title better than exact title matching.", "score": 0, "time_created": "2025-11-07 18:24:21", "time_modified": "2025-11-07 18:24:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Mark 'Witnessing a total solar eclipse' in my Bucket List Simple Note as done", "when_to_use": "When accessing protected APIs requires authentication tokens and the task involves updating user data in a note-taking app", "category": "success", "created_time": "2025-11-07 18:24:21", "modified_time": "2025-11-07 18:24:21", "generalized_query": "Update a specific item in a user's note after authenticating with an API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c161bd01b1f04766951c3f972aa713ca", "memory_type": "procedural", "when_to_use": "When retrieving specific data from a list of objects using list comprehensions", "content": "Avoid using list comprehensions for boolean checks when extracting objects; use generator expressions with next() for single-item retrieval to prevent type errors.", "score": 0, "time_created": "2025-11-07 18:24:39", "time_modified": "2025-11-07 18:24:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When retrieving specific data from a list of objects using list comprehensions", "category": "failure", "created_time": "2025-11-07 18:24:39", "modified_time": "2025-11-07 18:24:39", "generalized_query": "Modify a specific item in a list while applying conditions to other items", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "25ffab2d5e464202ad55613284f99d12", "memory_type": "procedural", "when_to_use": "When handling API responses with nested data structures", "content": "Always validate data structure types before subscripting; use explicit iteration and conditional checks for API response parsing.", "score": 0, "time_created": "2025-11-07 18:24:39", "time_modified": "2025-11-07 18:24:39", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When handling API responses with nested data structures", "category": "failure", "created_time": "2025-11-07 18:24:39", "modified_time": "2025-11-07 18:24:39", "generalized_query": "Update and disable multiple items in a dataset based on labels or identifiers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "7668fafb4dd149ffa91b3fcd64f1ae92", "memory_type": "procedural", "when_to_use": "When implementing system configuration changes that require state verification", "content": "Implement state checks before modifying system settings to avoid redundant operations and ensure configuration changes align with user intent", "score": 0, "time_created": "2025-11-07 18:24:37", "time_modified": "2025-11-07 18:24:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am going on a vacation. Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When implementing system configuration changes that require state verification", "category": "failure", "created_time": "2025-11-07 18:24:37", "modified_time": "2025-11-07 18:24:37", "generalized_query": "Modify and disable system alerts or notifications based on contextual triggers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "adfe6d05a36e439d8b7c70187580f493", "memory_type": "procedural", "when_to_use": "When retrieving data from an API that requires pagination and field validation", "content": "Successfully retrieved all playlists via pagination, validated API response fields against documentation, and calculated durations by iterating through song IDs. Key fix involved aligning code with API response structure (using 'duration' instead of 'duration_seconds') after encountering KeyError.", "score": 0, "time_created": "2025-11-07 18:25:12", "time_modified": "2025-11-07 18:25:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When retrieving data from an API that requires pagination and field validation", "category": "success", "created_time": "2025-11-07 18:25:12", "modified_time": "2025-11-07 18:25:12", "generalized_query": "Calculate the minimum duration of user-owned media collections from a paginated API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "2c2b2962fcb84c87a36bc21816cd6d5e", "memory_type": "procedural", "when_to_use": "When retrieving user credentials or API tokens from external systems", "content": "Always verify variable scope and initialization before use to prevent NameErrors during API authentication workflows", "score": 0, "time_created": "2025-11-07 18:25:14", "time_modified": "2025-11-07 18:25:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When retrieving user credentials or API tokens from external systems", "category": "failure", "created_time": "2025-11-07 18:25:14", "modified_time": "2025-11-07 18:25:14", "generalized_query": "Accessing secured user data through API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e5a806619cea450894082b485ddaad6e", "memory_type": "procedural", "when_to_use": "When calculating playlist durations based on song counts", "content": "Assuming uniform item durations leads to inaccurate results; always use API-provided duration data for precise calculations", "score": 0, "time_created": "2025-11-07 18:25:06", "time_modified": "2025-11-07 18:25:06", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating playlist durations based on song counts", "category": "failure", "created_time": "2025-11-07 18:25:06", "modified_time": "2025-11-07 18:25:06", "generalized_query": "Calculating total duration of media items in a playlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "e5e3999d09d64601be11c0dd245c0505", "memory_type": "procedural", "when_to_use": "When retrieving paginated API results", "content": "Always verify if pagination limits might truncate data and implement proper pagination handling to ensure full dataset retrieval", "score": 0, "time_created": "2025-11-07 18:25:06", "time_modified": "2025-11-07 18:25:06", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When retrieving paginated API results", "category": "failure", "created_time": "2025-11-07 18:25:06", "modified_time": "2025-11-07 18:25:06", "generalized_query": "Processing paginated API responses for complete dataset", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "91b571599fc74ae5956865c490e93289", "memory_type": "procedural", "when_to_use": "When initial API responses lack critical data fields required for calculations", "content": "When initial data retrieval (show_playlist_library) lacked song duration information, the agent debugged by inspecting playlist structure via show_playlist, then implemented nested API calls (show_song) to fetch missing metadata. This pattern ensures data completeness before aggregation.", "score": 0, "time_created": "2025-11-07 18:25:22", "time_modified": "2025-11-07 18:25:22", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When initial API responses lack critical data fields required for calculations", "category": "success", "created_time": "2025-11-07 18:25:22", "modified_time": "2025-11-07 18:25:22", "generalized_query": "Calculate aggregate metric (e.g., duration, count) across user-owned entities (playlists, songs, etc.) in a music streaming platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "6d32db55c4a94050b8077fac5d605ee6", "memory_type": "procedural", "when_to_use": "When accessing nested data structures from API responses", "content": "Always validate that required fields exist in API responses before processing nested data structures", "score": 0, "time_created": "2025-11-07 18:25:44", "time_modified": "2025-11-07 18:25:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When accessing nested data structures from API responses", "category": "failure", "created_time": "2025-11-07 18:25:44", "modified_time": "2025-11-07 18:25:44", "generalized_query": "Extracting specific metrics from hierarchical API data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "b0d78e29e29b43ffb7b5726ed39fe5cc", "memory_type": "procedural", "when_to_use": "When handling API authentication and session management", "content": "Always ensure authentication tokens are properly scoped and available in the execution context before making API calls that require them", "score": 0, "time_created": "2025-11-07 18:26:05", "time_modified": "2025-11-07 18:26:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist.", "when_to_use": "When handling API authentication and session management", "category": "failure", "created_time": "2025-11-07 18:26:05", "modified_time": "2025-11-07 18:26:05", "generalized_query": "Access and interact with user-specific data from a music streaming service API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c72b2ff8eae84c5685c45801ae45616d", "memory_type": "procedural", "when_to_use": "When retrieving user-specific data from search results", "content": "Implement explicit validation and filtering mechanisms when multiple resources share the same name or metadata", "score": 0, "time_created": "2025-11-07 18:26:05", "time_modified": "2025-11-07 18:26:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Identify the correct playlist from search results that belongs to the current user", "when_to_use": "When retrieving user-specific data from search results", "category": "failure", "created_time": "2025-11-07 18:26:05", "modified_time": "2025-11-07 18:26:05", "generalized_query": "Filter API search results to identify user-specific resources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "be5a8fe5ef77447580dc19c488c322d4", "memory_type": "procedural", "when_to_use": "When accessing metrics for media content", "content": "Always verify that metric fields (like play_count) exist in API responses and handle potential null/missing data cases", "score": 0, "time_created": "2025-11-07 18:26:05", "time_modified": "2025-11-07 18:26:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Determine which song in the playlist has the highest play count", "when_to_use": "When accessing metrics for media content", "category": "failure", "created_time": "2025-11-07 18:26:05", "modified_time": "2025-11-07 18:26:05", "generalized_query": "Analyze media content metrics to identify popular items", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "28e9eec9a3b84d0db036d63e73215868", "memory_type": "procedural", "when_to_use": "When handling parameters for API endpoints with strict data type requirements", "content": "Verify data types of parameters match API specifications (e.g., song_id must be integer, not string)", "score": 0, "time_created": "2025-11-07 18:26:05", "time_modified": "2025-11-07 18:26:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "apis.spotify.play_music(song_id=most_listened_song[\"title\"])", "when_to_use": "When handling parameters for API endpoints with strict data type requirements", "category": "failure", "created_time": "2025-11-07 18:26:05", "modified_time": "2025-11-07 18:26:05", "generalized_query": "Interacting with APIs that enforce parameter type validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "3ee7d66701a745739979ea7b42ae8492", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens, especially in multi-step workflows involving repeated API calls.", "content": "The higher-scoring approach explicitly included the access_token parameter in the play_music API call, ensuring proper authentication. The lower-scoring sequence repeatedly reauthenticated but failed to propagate the token to the play_music endpoint. The higher approach also used programmatic data processing (min() function) to identify the least-played song, whereas the lower approach used manual, repetitive API calls.", "score": 0, "time_created": "2025-11-07 18:25:47", "time_modified": "2025-11-07 18:25:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When interacting with APIs requiring authentication tokens, especially in multi-step workflows involving repeated API calls.", "category": "comparative", "created_time": "2025-11-07 18:25:47", "modified_time": "2025-11-07 18:25:47", "generalized_query": "Execute a multi-step API workflow with authentication token management to achieve a task.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "878c31c5dfd84167a2ca8685b05d8ab7", "memory_type": "procedural", "when_to_use": "When encountering 401 Unauthorized errors after successful authentication", "content": "API clients must explicitly handle token lifecycle management, including storage, refresh, and attachment to requests, as tokens are not automatically persisted between calls", "score": 0, "time_created": "2025-11-07 18:25:47", "time_modified": "2025-11-07 18:25:47", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When encountering 401 Unauthorized errors after successful authentication", "category": "failure", "created_time": "2025-11-07 18:25:47", "modified_time": "2025-11-07 18:25:47", "generalized_query": "Maintain valid authentication state across sequential API operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "5c0fdaa75e81480b878056cc0a45aa4f", "memory_type": "procedural", "when_to_use": "When interacting with authenticated API endpoints after initial login", "content": "Access tokens must be explicitly maintained and passed for authenticated operations; token expiration requires re-authentication before subsequent API calls", "score": 0, "time_created": "2025-11-07 18:26:25", "time_modified": "2025-11-07 18:26:25", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When interacting with authenticated API endpoints after initial login", "category": "failure", "created_time": "2025-11-07 18:26:25", "modified_time": "2025-11-07 18:26:25", "generalized_query": "Execute a multi-step task requiring sustained API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "07873991fe69466b86473b2264644664", "memory_type": "procedural", "when_to_use": "When interpreting API response data for user intent fulfillment", "content": "Verify that the data retrieved from API responses directly addresses the user's intent. In this case, album like_count does not equate to individual song popularity metrics, requiring clarification or alternative data sources.", "score": 0, "time_created": "2025-11-07 18:26:29", "time_modified": "2025-11-07 18:26:29", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When interpreting API response data for user intent fulfillment", "category": "failure", "created_time": "2025-11-07 18:26:29", "modified_time": "2025-11-07 18:26:29", "generalized_query": "Use API data to fulfill a user request that requires interpretation of metrics (e.g., popularity, listen count).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "325a6bbf628a4b88a6a79b28646a2c6e", "memory_type": "procedural", "when_to_use": "When processing payment requests, ensure the request is still pending before attempting approval", "content": "Always verify the current state of a transaction before taking action, as previous operations may have altered its status", "score": 0, "time_created": "2025-11-07 18:26:20", "time_modified": "2025-11-07 18:26:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers", "when_to_use": "When processing payment requests, ensure the request is still pending before attempting approval", "category": "failure", "created_time": "2025-11-07 18:26:20", "modified_time": "2025-11-07 18:26:20", "generalized_query": "Automatically process financial transactions from a list of pending requests", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "bea8b81ed3cd4952be584ced40cf67e1", "memory_type": "procedural", "when_to_use": "When retrieving sensitive data from API responses", "content": "Use proper data extraction techniques to avoid type mismatches when accessing nested API response structures", "score": 0, "time_created": "2025-11-07 18:26:20", "time_modified": "2025-11-07 18:26:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Extract Venmo password from supervisor's account passwords", "when_to_use": "When retrieving sensitive data from API responses", "category": "failure", "created_time": "2025-11-07 18:26:20", "modified_time": "2025-11-07 18:26:20", "generalized_query": "Retrieve credentials from stored account information", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "cb428e270bb64f1e85192d0a11d4a155", "memory_type": "procedural", "when_to_use": "When retrieving specific data from a list of objects using conditional checks", "content": "List comprehensions with boolean conditions return lists of booleans, not filtered objects - use generator expressions with next() for safe value extraction", "score": 0, "time_created": "2025-11-07 18:26:22", "time_modified": "2025-11-07 18:26:22", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers.", "when_to_use": "When retrieving specific data from a list of objects using conditional checks", "category": "failure", "created_time": "2025-11-07 18:26:22", "modified_time": "2025-11-07 18:26:22", "generalized_query": "Automate approval of pending financial transactions from specific contacts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "51dd213b2dc6483bbf4dc63553cc4803", "memory_type": "procedural", "when_to_use": "When retrieving credentials or data from a list of entries", "content": "Always verify data structure operations to avoid type mismatches (e.g., boolean vs. list elements) when filtering or extracting values from collections", "score": 0, "time_created": "2025-11-07 18:26:40", "time_modified": "2025-11-07 18:26:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When retrieving credentials or data from a list of entries", "category": "failure", "created_time": "2025-11-07 18:26:40", "modified_time": "2025-11-07 18:26:40", "generalized_query": "Access and retrieve specific account credentials from a list of stored accounts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "455ae57672c94c7b90cda20acfd9632d", "memory_type": "procedural", "when_to_use": "When filtering lists to extract specific elements, especially when using list comprehensions or generator expressions", "content": "Avoid using list comprehensions that produce boolean values when attempting to extract objects; instead, use generator expressions with next() or explicit loops to safely retrieve target elements.", "score": 0, "time_created": "2025-11-07 18:27:01", "time_modified": "2025-11-07 18:27:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When filtering lists to extract specific elements, especially when using list comprehensions or generator expressions", "category": "failure", "created_time": "2025-11-07 18:27:01", "modified_time": "2025-11-07 18:27:01", "generalized_query": "Retrieve specific data elements from a list of objects based on a condition", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f63e00f7c82a4adebde1eb3445a5f054", "memory_type": "procedural", "when_to_use": "When paginating through API results to ensure all items are retrieved", "content": "Implement robust pagination handling by checking for empty responses and incrementing page indices systematically, while validating API response structures for edge cases.", "score": 0, "time_created": "2025-11-07 18:27:01", "time_modified": "2025-11-07 18:27:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When paginating through API results to ensure all items are retrieved", "category": "failure", "created_time": "2025-11-07 18:27:01", "modified_time": "2025-11-07 18:27:01", "generalized_query": "Iterate through paginated API endpoints to collect complete datasets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d9deb64714d84ef99cf02d4abd5d3829", "memory_type": "procedural", "when_to_use": "When needing to identify the most played song by a specific artist on Spotify", "content": "The successful pattern involved first locating the artist via search_artists API, then querying search_songs with artist_id filter and sorting by play_count descending. This ensured retrieval of the most played song through explicit metric-based sorting rather than relying on default ordering.", "score": 0, "time_created": "2025-11-07 18:27:20", "time_modified": "2025-11-07 18:27:20", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When needing to identify the most played song by a specific artist on Spotify", "category": "success", "created_time": "2025-11-07 18:27:20", "modified_time": "2025-11-07 18:27:20", "generalized_query": "Retrieve the most popular song by a specific artist from a music streaming platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "0e7cae16f5a549ca8c811ef05ac82e34", "memory_type": "procedural", "when_to_use": "When extracting specific data from API responses, especially nested or list-based structures", "content": "Always validate data structure types before accessing nested elements to avoid type errors. Use list comprehensions correctly to filter and extract values rather than boolean checks.", "score": 0, "time_created": "2025-11-07 18:27:19", "time_modified": "2025-11-07 18:27:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When extracting specific data from API responses, especially nested or list-based structures", "category": "failure", "created_time": "2025-11-07 18:27:19", "modified_time": "2025-11-07 18:27:19", "generalized_query": "Extracting specific data fields from nested API response structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4fd1c1bbd4a74abd8f11015d16c3e6dc", "memory_type": "procedural", "when_to_use": "When interpreting API search results for quantitative analysis", "content": "API search results may not guarantee completeness. When analyzing metrics like play counts, explicitly verify if the dataset contains all relevant entries and consider implementing pagination or filtering parameters for accuracy.", "score": 0, "time_created": "2025-11-07 18:27:19", "time_modified": "2025-11-07 18:27:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When interpreting API search results for quantitative analysis", "category": "failure", "created_time": "2025-11-07 18:27:19", "modified_time": "2025-11-07 18:27:19", "generalized_query": "Identifying minimum/maximum values from API-generated datasets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c8269750ff7b4ddc9d7f2ca2e7c3211f", "memory_type": "procedural", "when_to_use": "When handling authentication workflows across multiple apps", "content": "Store retrieved credentials securely and avoid repeated API calls for the same authentication details. Implement error handling for authentication failures during API interactions.", "score": 0, "time_created": "2025-11-07 18:27:19", "time_modified": "2025-11-07 18:27:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When handling authentication workflows across multiple apps", "category": "failure", "created_time": "2025-11-07 18:27:19", "modified_time": "2025-11-07 18:27:19", "generalized_query": "Cross-app authentication and credential management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "ce4c506faa4d457c8653dd50ea3df80d", "memory_type": "procedural", "when_to_use": "When needing to authenticate to an API with stored credentials", "content": "The sequence of retrieving stored passwords via supervisor API, logging in with credentials, and handling token authentication ensures secure access to user-specific data. This pattern is critical for APIs requiring authentication before accessing personal data.", "score": 0, "time_created": "2025-11-07 18:27:44", "time_modified": "2025-11-07 18:27:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When needing to authenticate to an API with stored credentials", "category": "success", "created_time": "2025-11-07 18:27:44", "modified_time": "2025-11-07 18:27:44", "generalized_query": "Authenticate to a service using stored credentials to perform user-specific actions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "695b0ba007f64b3188dc1fa32980e00b", "memory_type": "procedural", "when_to_use": "When processing paginated API responses with unknown total size", "content": "The while-loop pagination pattern (incrementing page_index until empty response) reliably handles unknown dataset sizes. This technique prevents incomplete data retrieval and ensures all liked songs are processed for artist extraction.", "score": 0, "time_created": "2025-11-07 18:27:44", "time_modified": "2025-11-07 18:27:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Get the list of liked songs", "when_to_use": "When processing paginated API responses with unknown total size", "category": "success", "created_time": "2025-11-07 18:27:44", "modified_time": "2025-11-07 18:27:44", "generalized_query": "Retrieve large datasets from an API using pagination parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "260ccc4af6984759a015092173d7f15a", "memory_type": "procedural", "when_to_use": "When implementing conditional actions based on resource state", "content": "Checking artist follow-status before attempting to follow prevents redundant operations and 422 errors. This decision pattern ensures operational efficiency and avoids unnecessary API calls by verifying current state first.", "score": 0, "time_created": "2025-11-07 18:27:44", "time_modified": "2025-11-07 18:27:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow each artist who is not already followed", "when_to_use": "When implementing conditional actions based on resource state", "category": "success", "created_time": "2025-11-07 18:27:44", "modified_time": "2025-11-07 18:27:44", "generalized_query": "Perform actions only when prerequisite conditions are unmet", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "01b71723d17446d5958874b4ce313e67", "memory_type": "procedural", "when_to_use": "When implementing filtering logic for unique entity processing", "content": "Implement set operations and strict equality checks when filtering lists to guarantee operational uniqueness.", "score": 0, "time_created": "2025-11-07 18:27:50", "time_modified": "2025-11-07 18:27:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Filter out artists already being followed before attempting to follow them", "when_to_use": "When implementing filtering logic for unique entity processing", "category": "failure", "created_time": "2025-11-07 18:27:50", "modified_time": "2025-11-07 18:27:50", "generalized_query": "Ensure uniqueness in target lists before performing bulk operations on entities.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "f240fb212a894efeaf75c0e778c06c85", "memory_type": "procedural", "when_to_use": "When retrieving paginated data to find maximum values (e.g., most played songs)", "content": "Always check if additional pages may contain higher values when using paginated APIs to find maxima. Default page limits may truncate results.", "score": 0, "time_created": "2025-11-07 18:28:03", "time_modified": "2025-11-07 18:28:03", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When retrieving paginated data to find maximum values (e.g., most played songs)", "category": "failure", "created_time": "2025-11-07 18:28:03", "modified_time": "2025-11-07 18:28:03", "generalized_query": "Identify the maximum value item (e.g., play count, likes) from a dataset with pagination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "cd8f4417e51f4a73a7f1f4cf2680c704", "memory_type": "procedural", "when_to_use": "When searching for specific artist content with potential incomplete results", "content": "Use explicit filters (artist_id, genre) in search APIs to narrow results, but validate if the returned dataset is comprehensive enough for analytical queries.", "score": 0, "time_created": "2025-11-07 18:28:03", "time_modified": "2025-11-07 18:28:03", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When searching for specific artist content with potential incomplete results", "category": "failure", "created_time": "2025-11-07 18:28:03", "modified_time": "2025-11-07 18:28:03", "generalized_query": "Retrieve specific user-generated content (songs, albums) filtered by artist or metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "fb3f4c447d304303acd6c4b0e36dc7f5", "memory_type": "procedural", "when_to_use": "When attempting to retrieve user-specific data via APIs that require authentication or specific identifiers", "content": "Directly querying user profiles with unverified identifiers (e.g., email) may fail if the account does not exist or if the API expects different parameters. Always verify API parameter requirements and consider alternative data retrieval paths.", "score": 0, "time_created": "2025-11-07 18:27:58", "time_modified": "2025-11-07 18:27:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When attempting to retrieve user-specific data via APIs that require authentication or specific identifiers", "category": "failure", "created_time": "2025-11-07 18:27:58", "modified_time": "2025-11-07 18:27:58", "generalized_query": "Retrieve specific data about an artist's popularity from a music streaming platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c7b383b17fcd45f7ac3dcde5029bc141", "memory_type": "procedural", "when_to_use": "When interpreting API response structures and error codes", "content": "A 422 Unprocessable Entity error indicates invalid input parameters. Always cross-reference API documentation with error messages to identify parameter mismatches or missing prerequisites like authentication tokens.", "score": 0, "time_created": "2025-11-07 18:27:58", "time_modified": "2025-11-07 18:27:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When interpreting API response structures and error codes", "category": "failure", "created_time": "2025-11-07 18:27:58", "modified_time": "2025-11-07 18:27:58", "generalized_query": "Handling API errors during data retrieval operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "4d508c561a894830b7d2d02e2cec6723", "memory_type": "procedural", "when_to_use": "When needing to filter followed entities (e.g., artists, creators) based on engagement with specific user content (e.g., liked songs, saved albums)", "content": "Successfully retrieved paginated liked songs and followed artists, then used set operations to identify unfollow targets. Critical steps included: 1) Pagination handling for incomplete API responses 2) Field validation (using 'artist_id' instead of 'id') based on API schema 3) Efficient set difference calculation for unfollow decisions", "score": 0, "time_created": "2025-11-07 18:28:08", "time_modified": "2025-11-07 18:28:08", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When needing to filter followed entities (e.g., artists, creators) based on engagement with specific user content (e.g., liked songs, saved albums)", "category": "success", "created_time": "2025-11-07 18:28:08", "modified_time": "2025-11-07 18:28:08", "generalized_query": "Remove followed entities that have no interaction with user-specific content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "d307772629d44ecf852b3cfee2f25e7a", "memory_type": "procedural", "when_to_use": "When interacting with API responses that contain nested or specific key structures", "content": "Always verify the exact key names in API response schemas to avoid KeyErrors and ensure correct data extraction.", "score": 0, "time_created": "2025-11-07 18:28:31", "time_modified": "2025-11-07 18:28:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When interacting with API responses that contain nested or specific key structures", "category": "failure", "created_time": "2025-11-07 18:28:31", "modified_time": "2025-11-07 18:28:31", "generalized_query": "Modify user relationships (e.g., unfollow) based on data from API endpoints with specific key structures.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_14b", "memory_id": "c4491e153c344647818f28fadec2ef30", "memory_type": "procedural", "when_to_use": "When automating follow actions on social/music platforms based on user preferences, ensuring idempotency to avoid redundant operations.", "content": "The successful pattern involved: 1) Using 'show_liked_songs' to retrieve user preferences, 2) Extracting unique artist IDs from those songs, 3) Checking 'is_following' status via 'show_artist' before attempting to follow, and 4) Implementing error handling to skip already-followed artists. This ensured efficient, non-redundant operations despite API limitations.", "score": 0, "time_created": "2025-11-07 18:28:17", "time_modified": "2025-11-07 18:28:17", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When automating follow actions on social/music platforms based on user preferences, ensuring idempotency to avoid redundant operations.", "category": "success", "created_time": "2025-11-07 18:28:17", "modified_time": "2025-11-07 18:28:17", "generalized_query": "Automatically follow entities (e.g., artists, creators) linked to user-liked content while avoiding duplicate actions.", "utility": 0, "freq": 0}}
|
||||
|
|
@ -1,184 +0,0 @@
|
|||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "83bc064d7004416e9b58b868b206f0a9", "memory_type": "procedural", "when_to_use": "When needing to update user-specific data across paginated API results with potential existing records", "content": "Successfully handled both creation and updating of song reviews by: 1) Using exception handling to detect existing reviews (409 conflict), 2) Filtering reviews by user email to identify owned reviews, 3) Implementing pagination for playlist/song discovery, and 4) Leveraging API docs to identify required parameters (e.g., review_id for updates). The combination of error handling + user-specific filtering enabled reliable state transitions from existing low ratings to 5-star ratings.", "score": 0, "time_created": "2025-11-04 17:43:09", "time_modified": "2025-11-04 17:43:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When needing to update user-specific data across paginated API results with potential existing records", "category": "success", "created_time": "2025-11-04 17:43:09", "modified_time": "2025-11-04 17:43:09", "generalized_query": "Modify user-generated ratings/reviews for media items across paginated API results", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "431b95ce6bfd4939afc8574bcb3208b9", "memory_type": "procedural", "when_to_use": "When interacting with nested data structures in API responses", "content": "Always validate nested key paths in API responses before accessing them. Use explicit checks for dictionary key existence and nested object structures to avoid KeyError exceptions.", "score": 0, "time_created": "2025-11-04 17:43:10", "time_modified": "2025-11-04 17:43:10", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When interacting with nested data structures in API responses", "category": "failure", "created_time": "2025-11-04 17:43:10", "modified_time": "2025-11-04 17:43:10", "generalized_query": "Update user-specific metadata (e.g., ratings) in music streaming platforms using nested API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c4a9583a908e419389a601350060f3ec", "memory_type": "procedural", "when_to_use": "When retrieving user-specific data from paginated API endpoints requiring authentication", "content": "The successful pattern involved: 1) Authenticating via supervisor credentials to access protected APIs, 2) Using pagination loops to exhaustively collect all album data, 3) Extracting song IDs from album data to fetch individual song metadata, 4) Aggregating play counts across all songs to determine the maximum value. This approach ensures comprehensive data collection despite API pagination limits.", "score": 0, "time_created": "2025-11-04 17:43:02", "time_modified": "2025-11-04 17:43:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When retrieving user-specific data from paginated API endpoints requiring authentication", "category": "success", "created_time": "2025-11-04 17:43:02", "modified_time": "2025-11-04 17:43:02", "generalized_query": "Identify the most frequently interacted-with item in a user's media library across paginated API results", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4306978d0891401bb034482dd31454c0", "memory_type": "procedural", "when_to_use": "When retrieving user-specific song play counts from Spotify's API", "content": "Always verify API documentation to confirm whether an endpoint provides play count data. Do not assume metadata like 'reviews' or 'likes' correlates with play frequency. Use the most direct available metric (e.g., show_song_privates for user-specific play counts if available).", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least-played song in my Spotify song library", "when_to_use": "When retrieving user-specific song play counts from Spotify's API", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "generalized_query": "Identify the song with the lowest engagement metric (e.g., plays, listens) in a user's music library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f47c6426655c4c2ebe29489f2fa438e7", "memory_type": "procedural", "when_to_use": "When handling API validation errors in parameter constraints", "content": "Always validate parameter constraints in API documentation before execution. For parameters like min_rating (≥1), avoid values that violate constraints even if logically appealing (e.g., using 0 to bypass filters).", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least-played song in my Spotify song library", "when_to_use": "When handling API validation errors in parameter constraints", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "generalized_query": "Execute API calls requiring numerical parameters with strict range constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "572a2b924ee649b2a63cdb4ed2cffb8a", "memory_type": "procedural", "when_to_use": "When working with paginated API responses that require complete dataset aggregation", "content": "Implemented a robust pagination loop using page_index incrementation until empty responses were received, ensuring complete dataset collection. This approach avoids undercounting by not relying on fixed page limits and handles variable API response sizes gracefully.", "score": 0, "time_created": "2025-11-04 17:43:17", "time_modified": "2025-11-04 17:43:17", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When working with paginated API responses that require complete dataset aggregation", "category": "success", "created_time": "2025-11-04 17:43:17", "modified_time": "2025-11-04 17:43:17", "generalized_query": "Accurately count items in a paginated API endpoint with unknown total size", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f357ffeb3ffa48358bc12f3ffe19c009", "memory_type": "procedural", "when_to_use": "When authenticating to protected services requiring account credentials", "content": "Successfully retrieved encrypted credentials via supervisor.show_account_passwords before initiating API authentication. Implemented specific credential filtering by account name and proper parameter mapping during login, establishing a secure and reliable authentication pattern for subsequent API interactions.", "score": 0, "time_created": "2025-11-04 17:43:17", "time_modified": "2025-11-04 17:43:17", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When authenticating to protected services requiring account credentials", "category": "success", "created_time": "2025-11-04 17:43:17", "modified_time": "2025-11-04 17:43:17", "generalized_query": "Securely access account-protected APIs using supervisor-managed credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "db2b7b3ae0e9410aa2a022b690f38ed1", "memory_type": "procedural", "when_to_use": "When determining the most-liked song in playlists based on API data", "content": "Always validate API endpoints for direct metric retrieval (e.g., song like_count) instead of inferring metrics from indirect correlations (e.g., playlist frequency). Use the 'show_song' API to fetch actual like counts rather than assuming playlist occurrences indicate popularity.", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When determining the most-liked song in playlists based on API data", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "generalized_query": "Identify the top-rated item in a user's media library based on nested API data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "baabeaca71a6478fb7bf35b059b38c7d", "memory_type": "procedural", "when_to_use": "When handling paginated API responses for comprehensive data collection", "content": "Implement robust pagination loops with explicit termination conditions (e.g., empty responses) to ensure full dataset collection. Avoid hardcoding page limits (e.g., page_index < 10) as this may truncate results and lead to incomplete analysis.", "score": 0, "time_created": "2025-11-04 17:43:01", "time_modified": "2025-11-04 17:43:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When handling paginated API responses for comprehensive data collection", "category": "failure", "created_time": "2025-11-04 17:43:01", "modified_time": "2025-11-04 17:43:01", "generalized_query": "Aggregate data from paginated API endpoints to ensure complete dataset coverage", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e91c8c7382834a629f983ea31a867bd1", "memory_type": "procedural", "when_to_use": "When interacting with APIs to modify user data (e.g., ratings, reviews)", "content": "Always verify API capabilities and data structure before assuming field existence or operation availability. Use 'show_<resource>' endpoints to inspect available fields and ensure API actions (create/update) align with existing data constraints.", "score": 0, "time_created": "2025-11-04 17:44:02", "time_modified": "2025-11-04 17:44:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When interacting with APIs to modify user data (e.g., ratings, reviews)", "category": "failure", "created_time": "2025-11-04 17:44:02", "modified_time": "2025-11-04 17:44:02", "generalized_query": "Modify user-generated content ratings based on existing preferences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ee7e88dac8d4a478875fe7938220d9c", "memory_type": "procedural", "when_to_use": "When working with paginated API endpoints that require complete dataset retrieval", "content": "Used while loops with page_index increment to fully paginate through both song libraries and reviews. This ensures completeness by continuing requests until empty responses are received, avoiding partial data processing. Works effectively with Spotify's page-based API design.", "score": 0, "time_created": "2025-11-04 17:44:03", "time_modified": "2025-11-04 17:44:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked...", "when_to_use": "When working with paginated API endpoints that require complete dataset retrieval", "category": "success", "created_time": "2025-11-04 17:44:03", "modified_time": "2025-11-04 17:44:03", "generalized_query": "Process complete datasets from paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2a4a0d14ae8d4353a29afae52aef3010", "memory_type": "procedural", "when_to_use": "When attempting to access an app's API that requires authentication and the initial login fails", "content": "Always verify authentication status and required parameters (e.g., phone number) before retrying failed API calls. Use explicit error handling for credential validation and avoid hardcoding values like password reset codes.", "score": 0, "time_created": "2025-11-04 17:44:14", "time_modified": "2025-11-04 17:44:14", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When attempting to access an app's API that requires authentication and the initial login fails", "category": "failure", "created_time": "2025-11-04 17:44:14", "modified_time": "2025-11-04 17:44:14", "generalized_query": "Interact with an app's API requiring authentication after encountering login failures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4a941ea2575341fcaf8c99e03876b78e", "memory_type": "procedural", "when_to_use": "When implementing complex data filtering across multiple API sources with relationship constraints", "content": "The higher-scoring approach demonstrated superior data correlation by: 1) Extracting roommate emails from contact records 2) Matching these against transaction sender/receiver emails 3) Using ISO date formatting for accurate temporal filtering. The lower approach failed to establish proper data relationships and relied on phone numbers instead of emails, which weren't present in transaction records. The successful approach also implemented defensive programming by inspecting sample transactions to validate data structure assumptions", "score": 0, "time_created": "2025-11-04 17:44:15", "time_modified": "2025-11-04 17:44:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When implementing complex data filtering across multiple API sources with relationship constraints", "category": "comparative", "created_time": "2025-11-04 17:44:15", "modified_time": "2025-11-04 17:44:15", "generalized_query": "Filter and act on transactional data involving specific relationships within time windows", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "afbfd954670c472db7b229d31324f837", "memory_type": "procedural", "when_to_use": "When handling user-specific data updates in APIs where existing entries must be checked before creation or modification", "content": "The higher-scoring approach succeeded by: 1) Correctly identifying that 'liked songs' required using the `show_liked_songs` API rather than album-based APIs 2) Properly handling review conflicts by first retrieving existing reviews via `show_song_reviews`, filtering by user email, and using `update_song_review` when necessary 3) Implementing a robust check for existing user reviews before attempting to create new ones. The lower-scoring approach failed by incorrectly targeting album reviews instead of song reviews, and by not properly filtering reviews by the user's email when retrieving existing reviews.", "score": 0, "time_created": "2025-11-04 17:44:13", "time_modified": "2025-11-04 17:44:13", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When handling user-specific data updates in APIs where existing entries must be checked before creation or modification", "category": "comparative", "created_time": "2025-11-04 17:44:13", "modified_time": "2025-11-04 17:44:13", "generalized_query": "Update user-generated ratings for media items (songs/albums) in a platform where prior reviews must be checked to avoid conflicts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5e98ab9c2e854dc6bfbbd92548d1aca8", "memory_type": "procedural", "when_to_use": "When paginating through API results to ensure completeness", "content": "Implement pagination loops with proper page_index incrementing and null-checking to ensure all items are retrieved. Avoid assumptions about result limits or single-page completeness.", "score": 0, "time_created": "2025-11-04 17:44:11", "time_modified": "2025-11-04 17:44:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When paginating through API results to ensure completeness", "category": "failure", "created_time": "2025-11-04 17:44:11", "modified_time": "2025-11-04 17:44:11", "generalized_query": "Retrieve all items from a paginated API endpoint to ensure comprehensive data processing.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4fdbd2358d9049d3a999c28ce3ef8825", "memory_type": "procedural", "when_to_use": "When authenticating to an app with stored credentials fails", "content": "Always verify authentication requirements by cross-referencing account details (e.g., phone numbers vs email) and consider cascading verification steps (e.g., 2FA) when stored credentials fail. Never assume email/password pairs will work across different app contexts.", "score": 0, "time_created": "2025-11-04 17:44:12", "time_modified": "2025-11-04 17:44:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When authenticating to an app with stored credentials fails", "category": "failure", "created_time": "2025-11-04 17:44:12", "modified_time": "2025-11-04 17:44:12", "generalized_query": "Attempting to access an app's API with stored credentials results in 'Invalid credentials' errors", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "759c1b9431ca4acdbaf76adab1114d42", "memory_type": "procedural", "when_to_use": "When processing paginated API responses with date filters", "content": "The higher-scoring approach implemented comprehensive pagination handling (while loop with page_index increment) and precise date filtering (ISO format string matching). The lower-scoring approach only fetched a fixed number of transactions without proper pagination and used datetime.now() which could produce inconsistent results across time zones.", "score": 0, "time_created": "2025-11-04 17:44:14", "time_modified": "2025-11-04 17:44:14", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When processing paginated API responses with date filters", "category": "comparative", "created_time": "2025-11-04 17:44:14", "modified_time": "2025-11-04 17:44:14", "generalized_query": "Filter and process time-sensitive social media/transaction data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6e32868f0c254dfc849170c097dfc43c", "memory_type": "procedural", "when_to_use": "When accessing contact information or APIs requiring authentication tokens", "content": "Always verify API existence and parameters before invocation. Ensure access tokens are properly passed in subsequent API calls after login. Define required variables (e.g., email lists) before referencing them in filtering logic.", "score": 0, "time_created": "2025-11-04 17:45:03", "time_modified": "2025-11-04 17:45:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When accessing contact information or APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 17:45:03", "modified_time": "2025-11-04 17:45:03", "generalized_query": "Accessing contact data or performing actions on social payment platforms requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1e0ad60ac31e43029bc2c83eeac417c1", "memory_type": "procedural", "when_to_use": "When implementing date-based filtering for transaction data", "content": "Implemented robust date comparison logic using datetime.datetime: (1) Parsed ISO 8601 transaction dates, (2) Compared against current date and date-1 (yesterday), (3) Handled time zones implicitly through server-side timestamps. This pattern ensures accurate temporal filtering for similar transaction-based tasks.", "score": 0, "time_created": "2025-11-04 17:45:06", "time_modified": "2025-11-04 17:45:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When implementing date-based filtering for transaction data", "category": "success", "created_time": "2025-11-04 17:45:06", "modified_time": "2025-11-04 17:45:06", "generalized_query": "Apply temporal filters to transactional data streams", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6aebfa25044448c79b8815ed7549b3b0", "memory_type": "procedural", "when_to_use": "When interacting with the file_system app to create directories or files", "content": "Always authenticate to the file_system app using its login API before performing file operations. Direct usage of Python's open() function is prohibited; instead, use the file_system app's create_file or update_file APIs with valid access tokens.", "score": 0, "time_created": "2025-11-04 17:45:15", "time_modified": "2025-11-04 17:45:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify.csv\" file in my file system.", "when_to_use": "When interacting with the file_system app to create directories or files", "category": "failure", "created_time": "2025-11-04 17:45:15", "modified_time": "2025-11-04 17:45:15", "generalized_query": "Export data to a file in the user's file system using restricted APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "960931f64cb34375b2d8b406b58b43c1", "memory_type": "procedural", "when_to_use": "When ensuring data uniqueness across multiple sources", "content": "Use dictionary merging (`{**dict1, **dict2}`) with unique identifiers (e.g., `song_id`) to eliminate duplicates. For nested data (albums/playlists), resolve referenced IDs via additional API calls (e.g., `show_song`). This ensures completeness while avoiding redundant entries.", "score": 0, "time_created": "2025-11-04 17:45:16", "time_modified": "2025-11-04 17:45:16", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When ensuring data uniqueness across multiple sources", "category": "success", "created_time": "2025-11-04 17:45:16", "modified_time": "2025-11-04 17:45:16", "generalized_query": "Aggregate and deduplicate data from multiple related endpoints (e.g., songs from libraries and playlists).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a63ce017f89e42a98db10efc9ba816c9", "memory_type": "procedural", "when_to_use": "When exporting data to a file system with restricted APIs", "content": "The higher-scoring approach used the `file_system.create_file` API directly to write CSV content as a string, bypassing restricted Python libraries like `csv` and `open`. This avoided execution errors caused by invalid function usage in the lower-scoring approach. Proper API adherence and string-based CSV formatting ensured compatibility with the environment's constraints.", "score": 0, "time_created": "2025-11-04 17:45:27", "time_modified": "2025-11-04 17:45:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into \"~/backups/spotify_songs.csv\" file in my file system.", "when_to_use": "When exporting data to a file system with restricted APIs", "category": "comparative", "created_time": "2025-11-04 17:45:27", "modified_time": "2025-11-04 17:45:27", "generalized_query": "Exporting data to a file system with API-specific constraints and restricted standard libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "549229cf2d6e4db4b7db6b146e43f090", "memory_type": "procedural", "when_to_use": "When handling paginated API responses for comprehensive data collection", "content": "The higher-scoring approach systematically paginated through all `song_library`, `album_library`, and `playlist_library` endpoints, using a `set` to track unique song IDs. The lower-scoring approach only retrieved the first page of song data (20 items) before proceeding, missing additional entries. Efficient pagination and deduplication ensured completeness in the higher-scoring solution.", "score": 0, "time_created": "2025-11-04 17:45:27", "time_modified": "2025-11-04 17:45:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When handling paginated API responses for comprehensive data collection", "category": "comparative", "created_time": "2025-11-04 17:45:27", "modified_time": "2025-11-04 17:45:27", "generalized_query": "Aggregating paginated data from multiple sources while ensuring uniqueness", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1407193985fd4a158a2a5a7179fdf423", "memory_type": "procedural", "when_to_use": "When accessing sensitive account credentials for authentication", "content": "Used supervisor.show_account_passwords() to securely obtain service-specific passwords instead of hardcoding or storing in variables. Applied generator expression (next()+filter) for efficient credential retrieval from password list.", "score": 0, "time_created": "2025-11-04 17:45:32", "time_modified": "2025-11-04 17:45:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "My name is: Christina Harrison. My personal email is chrharrison@gmail.com and phone number is 7487401121.", "when_to_use": "When accessing sensitive account credentials for authentication", "category": "success", "created_time": "2025-11-04 17:45:32", "modified_time": "2025-11-04 17:45:32", "generalized_query": "Retrieve encrypted credentials from supervisor app for API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2a23035a8f09491bb345bdeac4ec1d62", "memory_type": "procedural", "when_to_use": "When working with nested data structures and API pagination", "content": "Always validate API parameter names against documentation before making calls, especially when handling nested objects. Use explicit variable assignments for complex data structures to avoid syntax errors in set/dict comprehensions.", "score": 0, "time_created": "2025-11-04 17:45:20", "time_modified": "2025-11-04 17:45:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into ~/backups/spotify_library.csv file in my file system", "when_to_use": "When working with nested data structures and API pagination", "category": "failure", "created_time": "2025-11-04 17:45:20", "modified_time": "2025-11-04 17:45:20", "generalized_query": "Exporting data from paginated APIs into structured files", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dca8840734304b8cbe27d7a91ed3c2b7", "memory_type": "procedural", "when_to_use": "When handling multiple authentication tokens across services", "content": "Maintain separate authentication contexts for different services and explicitly pass access tokens in API calls. Verify token validity before critical operations like account termination.", "score": 0, "time_created": "2025-11-04 17:45:20", "time_modified": "2025-11-04 17:45:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Terminate my account after this backup is complete", "when_to_use": "When handling multiple authentication tokens across services", "category": "failure", "created_time": "2025-11-04 17:45:20", "modified_time": "2025-11-04 17:45:20", "generalized_query": "Performing irreversible actions after multi-service operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7bafdc2c45e24498805b1f70d907b536", "memory_type": "procedural", "when_to_use": "When aggregating data from multiple paginated API endpoints", "content": "Implemented consistent pagination pattern across `show_song_library`, `show_album_library`, and `show_playlist_library` endpoints using while loops that increment page_index until no more results. Used set-based deduplication on song IDs to ensure uniqueness before final export. This approach guarantees completeness while avoiding redundant entries, which is critical for accurate data backups", "score": 0, "time_created": "2025-11-04 17:45:26", "time_modified": "2025-11-04 17:45:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account...", "when_to_use": "When aggregating data from multiple paginated API endpoints", "category": "success", "created_time": "2025-11-04 17:45:26", "modified_time": "2025-11-04 17:45:26", "generalized_query": "Compile comprehensive dataset from multiple paginated API resources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f26b9f209b0e46eeb820d49bf2b04904", "memory_type": "procedural", "when_to_use": "When creating files in protected storage systems with required authentication", "content": "Successfully handled file system authentication by first retrieving credentials via supervisor API, then using the obtained access token with file_system's create_file API. Constructed CSV content in memory by iterating through processed data, then performed atomic write with overwrite=True parameter. This ensures: 1) Secure credential handling 2) Data integrity through in-memory construction 3) Reliable storage with overwrite protection", "score": 0, "time_created": "2025-11-04 17:45:26", "time_modified": "2025-11-04 17:45:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Export... into \"~/backups/spotify_library.csv\" file in my file system", "when_to_use": "When creating files in protected storage systems with required authentication", "category": "success", "created_time": "2025-11-04 17:45:26", "modified_time": "2025-11-04 17:45:26", "generalized_query": "Generate and store structured data files in user file systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "887b5a65cc90428a833fa213f72fe51b", "memory_type": "procedural", "when_to_use": "When retrieving user data across multiple apps with paginated APIs and authentication requirements", "content": "The higher-scoring approach systematically validated API specifications before execution, implemented robust pagination loops for contact/message retrieval, and properly managed access tokens across app contexts. The lower-scoring approach repeatedly failed due to incorrect API parameter usage, failed to handle authentication tokens, and attempted non-existent API methods. The successful approach demonstrated: 1) Rigorous API spec validation before execution 2) Proper token management between app contexts 3) Pagination implementation for large datasets 4) Data parsing refinement to extract only required fields", "score": 0, "time_created": "2025-11-04 17:46:19", "time_modified": "2025-11-04 17:46:19", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When retrieving user data across multiple apps with paginated APIs and authentication requirements", "category": "comparative", "created_time": "2025-11-04 17:46:19", "modified_time": "2025-11-04 17:46:19", "generalized_query": "Cross-app data retrieval with authentication and pagination handling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "82ed2d3a8332414c88a3d9bc50383f08", "memory_type": "procedural", "when_to_use": "When dealing with nested data structures requiring content filtering", "content": "The higher-scoring approach implemented multi-stage filtering to extract only movie titles while excluding metadata (directors/genres). The lower approach included extraneous data in the final output. Key refinement strategies: 1) Initial regex-based title extraction 2) Multi-pass filtering to remove non-title entries 3) Header removal for clean output 4) Final formatting as comma-separated string. This systematic refinement ensured the output strictly met the task requirements.", "score": 0, "time_created": "2025-11-04 17:46:19", "time_modified": "2025-11-04 17:46:19", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When dealing with nested data structures requiring content filtering", "category": "comparative", "created_time": "2025-11-04 17:46:19", "modified_time": "2025-11-04 17:46:19", "generalized_query": "Content filtering from structured text data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "988dd378630d4dfd86ea7496987d4a9f", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require precise authentication parameters and data extraction", "content": "The higher-scoring approach prioritized API specification validation before execution (e.g., confirming phone login requires phone number as username), implemented robust error handling for authentication failures, and used precise data extraction techniques (search_notes with tags/query filters). The lower-scoring approach made repeated authentication errors, included explanatory text in code blocks causing syntax failures, and used inefficient string parsing that retained metadata instead of clean titles.", "score": 0, "time_created": "2025-11-04 17:46:26", "time_modified": "2025-11-04 17:46:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reply to Leslie with a list of comma-separated movie titles from my Simple Note account", "when_to_use": "When interacting with APIs that require precise authentication parameters and data extraction", "category": "comparative", "created_time": "2025-11-04 17:46:26", "modified_time": "2025-11-04 17:46:26", "generalized_query": "Retrieve and format specific data from a note-taking app via API for message response", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f58ece6e05d84625aacd9c0cb2dadec4", "memory_type": "procedural", "when_to_use": "When accessing APIs to retrieve or manipulate data, especially when dealing with authentication, pagination, or data parsing", "content": "The higher-scoring approach systematically validated API specifications before execution, handled authentication errors by cross-referencing credentials, and implemented robust pagination for data retrieval. It also refined movie title extraction by filtering out metadata (directors/genres) and deduplicating entries. The lower-scoring approach failed due to unvalidated API calls (e.g., using non-existent `get_contact_information`), incorrect authentication (using email instead of phone number for login), and poor data parsing that included non-title text in the final list.", "score": 0, "time_created": "2025-11-04 17:46:38", "time_modified": "2025-11-04 17:46:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Laura has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When accessing APIs to retrieve or manipulate data, especially when dealing with authentication, pagination, or data parsing", "category": "comparative", "created_time": "2025-11-04 17:46:38", "modified_time": "2025-11-04 17:46:38", "generalized_query": "Extract structured data from a note-taking app and send it via SMS using contact information from a phone app", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4c083b514f584316af5428a52ffcf324", "memory_type": "procedural", "when_to_use": "When encountering repeated API authentication errors with no obvious resolution path", "content": "Implement exponential backoff/retry patterns for authentication attempts only if transient errors are suspected. For persistent 401 errors, prioritize escalating to user intervention or switching to alternative communication channels (e.g., email) instead of infinite retries.", "score": 0, "time_created": "2025-11-04 17:46:47", "time_modified": "2025-11-04 17:46:47", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Laura has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When encountering repeated API authentication errors with no obvious resolution path", "category": "failure", "created_time": "2025-11-04 17:46:47", "modified_time": "2025-11-04 17:46:47", "generalized_query": "Handling persistent authentication failures in chained API workflows", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ca01a5043d043c29610f0aa54fc61d7", "memory_type": "procedural", "when_to_use": "When attempting to authenticate to an app with stored credentials and encountering 401 errors", "content": "Always verify credential validity before proceeding with API calls requiring authentication. When encountering 401 errors, prioritize credential refresh/retrieval rather than proceeding with assumptions about data relationships.", "score": 0, "time_created": "2025-11-04 17:46:35", "time_modified": "2025-11-04 17:46:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you!', to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When attempting to authenticate to an app with stored credentials and encountering 401 errors", "category": "failure", "created_time": "2025-11-04 17:46:35", "modified_time": "2025-11-04 17:46:35", "generalized_query": "Interacting with app APIs requiring authentication when stored credentials may be invalid or expired", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cb0e883be58a42c1a2b596658e02a2c1", "memory_type": "procedural", "when_to_use": "When debugging API parameter mismatches in transaction actions (e.g., commenting, liking)", "content": "Resolved a 422 validation error by cross-referencing API documentation (`create_transaction_comment`) and correcting the parameter name from `comment_text` to `comment`. This emphasizes the importance of validating API parameter names against specifications before execution, especially for less commonly used endpoints.", "score": 0, "time_created": "2025-11-04 17:46:40", "time_modified": "2025-11-04 17:46:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you!', to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When debugging API parameter mismatches in transaction actions (e.g., commenting, liking)", "category": "success", "created_time": "2025-11-04 17:46:40", "modified_time": "2025-11-04 17:46:40", "generalized_query": "Execute transaction-level actions (comments, likes) on Venmo payments with precise parameter matching", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "545f2b1d600e4de9961dc75ca08c1c8d", "memory_type": "procedural", "when_to_use": "When filtering transactions based on sender relationships (e.g., 'friends') and requiring cross-app data validation (e.g., phone contacts)", "content": "The higher-scoring approach explicitly validated sender emails against phone app contacts marked as 'friend' in relationships, ensuring precision. It also handled API pagination for both Venmo transactions and phone contacts systematically. The lower-scoring approach incorrectly assumed all received payments were from friends, leading to potential over-commenting/liking. Key differentiators: 1) Cross-app validation of sender relationships 2) Rigorous date-range filtering with datetime parsing 3) Error handling for API authentication (phone app login with phone number vs. email)", "score": 0, "time_created": "2025-11-04 17:47:36", "time_modified": "2025-11-04 17:47:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thanks!', to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When filtering transactions based on sender relationships (e.g., 'friends') and requiring cross-app data validation (e.g., phone contacts)", "category": "comparative", "created_time": "2025-11-04 17:47:36", "modified_time": "2025-11-04 17:47:36", "generalized_query": "Process financial transactions from verified relationships within a time window using multi-app API integration", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "929dba40901f4ffebae54638d22dc099", "memory_type": "procedural", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "content": "The higher-scoring approach explicitly implemented pagination with a `while True` loop to fetch all recommendation pages, ensuring comprehensive data collection. The lower-scoring approach only retrieved a single page of recommendations, risking incomplete results. Proper pagination is critical when APIs return data in chunks.", "score": 0, "time_created": "2025-11-04 17:47:43", "time_modified": "2025-11-04 17:47:43", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "category": "comparative", "created_time": "2025-11-04 17:47:43", "modified_time": "2025-11-04 17:47:43", "generalized_query": "Identify the least frequently recommended entity (e.g., artist, song) from a paginated API response", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b18c7dadd3c742b48995852837da1579", "memory_type": "procedural", "when_to_use": "When authenticating to access protected user data in API workflows", "content": "Used supervisor.show_account_passwords to securely retrieve credentials and spotify.login to obtain access token before making protected API calls. This pattern ensures secure credential handling while maintaining API workflow continuity.", "score": 0, "time_created": "2025-11-04 17:47:46", "time_modified": "2025-11-04 17:47:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When authenticating to access protected user data in API workflows", "category": "success", "created_time": "2025-11-04 17:47:46", "modified_time": "2025-11-04 17:47:46", "generalized_query": "Access user-specific data requiring authentication through password management APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3449231e0e9e4abdb8c5302d6d09ebe7", "memory_type": "procedural", "when_to_use": "When handling paginated or structured API responses", "content": "Implement defensive programming patterns: 1) Check for existence of nested keys before accessing them 2) Use explicit field path validation 3) Add fallback handling for unexpected structures 4) Log sample responses for structural analysis", "score": 0, "time_created": "2025-11-04 17:47:46", "time_modified": "2025-11-04 17:47:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When handling paginated or structured API responses", "category": "failure", "created_time": "2025-11-04 17:47:46", "modified_time": "2025-11-04 17:47:46", "generalized_query": "Processing paginated API results with potential nested data structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6a5477c41fed4ced8c083484c11d0b62", "memory_type": "procedural", "when_to_use": "When retrieving personalized Spotify recommendations requires paginated API calls and artist frequency analysis", "content": "The successful approach involved: (1) Using show_recommendations API with pagination handling to collect full recommendation dataset (2) Aggregating artist metadata across all recommended songs (3) Implementing a frequency counter to determine the most commonly recommended artist. This works because Spotify's recommendation endpoint returns paginated results requiring iterative collection, and artist popularity within recommendations directly correlates with user preferences.", "score": 0, "time_created": "2025-11-04 17:47:57", "time_modified": "2025-11-04 17:47:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When retrieving personalized Spotify recommendations requires paginated API calls and artist frequency analysis", "category": "success", "created_time": "2025-11-04 17:47:57", "modified_time": "2025-11-04 17:47:57", "generalized_query": "Identify the most frequently recommended artist from a music streaming service's personalized recommendations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5fdbdd5d57394efeb38e65fc0548b08c", "memory_type": "procedural", "when_to_use": "When accessing account credentials for an app and encountering authentication failures", "content": "Always validate credentials before API calls and implement fallback mechanisms for credential recovery (e.g., password reset workflows). When resetting passwords, verify the delivery method (email/SMS) and check all potential storage locations (spam, archives, labels) for verification codes.", "score": 0, "time_created": "2025-11-04 17:47:51", "time_modified": "2025-11-04 17:47:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When accessing account credentials for an app and encountering authentication failures", "category": "failure", "created_time": "2025-11-04 17:47:51", "modified_time": "2025-11-04 17:47:51", "generalized_query": "Accessing app credentials or performing actions requiring authentication when credentials are invalid or expired", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b629ffe5dc2a4abfa3d1b8f6e2c5ae4a", "memory_type": "procedural", "when_to_use": "When parsing API responses with nested or unexpected data structures", "content": "Verify API response schema before extracting fields. Use defensive programming (e.g., .get() instead of [] access) and inspect raw response structures when encountering KeyErrors. For contact/email data, prioritize checking 'participants' lists over single 'sender' fields in thread-based APIs.", "score": 0, "time_created": "2025-11-04 17:47:51", "time_modified": "2025-11-04 17:47:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When parsing API responses with nested or unexpected data structures", "category": "failure", "created_time": "2025-11-04 17:47:51", "modified_time": "2025-11-04 17:47:51", "generalized_query": "Extracting specific fields from complex API responses with nested dictionaries/lists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "69a69f612a0347a986a5a582dadb093b", "memory_type": "procedural", "when_to_use": "When performing actions on multiple items (e.g., adding comments and likes) with strict API parameter requirements.", "content": "The agent iterated over filtered transactions and applied `create_transaction_comment` and `like_transaction` for each. Initial attempts failed due to incorrect parameter formatting (e.g., passing a dictionary instead of a string for the comment). The agent corrected this by aligning the `comment` parameter with the API's expected string type. This emphasizes the need to strictly follow API documentation and validate parameter types during implementation.", "score": 0, "time_created": "2025-11-04 17:48:01", "time_modified": "2025-11-04 17:48:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When performing actions on multiple items (e.g., adding comments and likes) with strict API parameter requirements.", "category": "success", "created_time": "2025-11-04 17:48:01", "modified_time": "2025-11-04 17:48:01", "generalized_query": "Execute batch operations on API resources with strict parameter formatting requirements.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "20fcd7902b5444788e64cbf202f2f69f", "memory_type": "procedural", "when_to_use": "When extracting recommendations for entities like artists from song-based recommendation APIs", "content": "Prioritize using artist-specific recommendation APIs if available. When only song recommendations are accessible, aggregate artist data by weighted scoring (e.g., song popularity) rather than raw frequency of appearances across songs.", "score": 0, "time_created": "2025-11-04 17:48:33", "time_modified": "2025-11-04 17:48:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When extracting recommendations for entities like artists from song-based recommendation APIs", "category": "failure", "created_time": "2025-11-04 17:48:33", "modified_time": "2025-11-04 17:48:33", "generalized_query": "Identify the most recommended entity (e.g., artist, genre) from a music streaming service using song-based recommendations.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c329cd7c632426d984d25c5fc9304e5", "memory_type": "procedural", "when_to_use": "When secure credential retrieval is needed for API authentication", "content": "Properly used the supervisor app's 'show_account_passwords' to retrieve Spotify credentials securely instead of hardcoding or guessing. This ensures up-to-date, accurate credentials while maintaining separation between authentication and business logic.", "score": 0, "time_created": "2025-11-04 17:48:38", "time_modified": "2025-11-04 17:48:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When secure credential retrieval is needed for API authentication", "category": "success", "created_time": "2025-11-04 17:48:38", "modified_time": "2025-11-04 17:48:38", "generalized_query": "Access account credentials for third-party service authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "235b9863b2c34d07b2e6366ce05bb328", "memory_type": "procedural", "when_to_use": "When needing to find the most recent item across multiple interconnected data sources (e.g., song, album, and playlist libraries) that require pagination", "content": "The successful approach involved: 1) Aggregating all song IDs from three distinct libraries (songs, albums, playlists) by paginating through each endpoint. 2) Using set operations to avoid duplicate song checks. 3) Iterating through all collected song IDs to compare release dates. This pattern works because it systematically captures all possible sources of songs while handling API pagination constraints, ensuring no data is missed.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When needing to find the most recent item across multiple interconnected data sources (e.g., song, album, and playlist libraries) that require pagination", "category": "success", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "generalized_query": "Identify the most recently released item across multiple nested libraries (songs, albums, playlists) in a music streaming service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "458a5965758c4953aa90417892e36178", "memory_type": "procedural", "when_to_use": "When comparing timestamps across different data structures", "content": "Using string-based date comparisons (e.g., max() on date strings) without proper datetime parsing can lead to incorrect ordering. Always convert date strings to datetime objects before comparison operations.", "score": 0, "time_created": "2025-11-04 17:48:57", "time_modified": "2025-11-04 17:48:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When comparing timestamps across different data structures", "category": "failure", "created_time": "2025-11-04 17:48:57", "modified_time": "2025-11-04 17:48:57", "generalized_query": "Compare timestamps from heterogeneous data sources to determine chronological recency", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8c75f9f3bd3b4c1b8240f939c21a2b69", "memory_type": "procedural", "when_to_use": "When extracting values from nested data structures", "content": "Assuming field names will be consistent across different API responses can cause errors. Always validate field names and structure against API documentation before extracting data.", "score": 0, "time_created": "2025-11-04 17:48:57", "time_modified": "2025-11-04 17:48:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When extracting values from nested data structures", "category": "failure", "created_time": "2025-11-04 17:48:57", "modified_time": "2025-11-04 17:48:57", "generalized_query": "Extract specific fields from complex JSON structures representing media metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "99f1bc5e1bb24eee9728257cf791dbe3", "memory_type": "procedural", "when_to_use": "When aggregating and processing data from multiple API sources with potential type inconsistencies", "content": "Always validate and sanitize aggregated identifiers before API calls. When combining data from different endpoints (songs, albums, playlists), explicitly filter non-integer values and deduplicate IDs to avoid validation errors in downstream operations.", "score": 0, "time_created": "2025-11-04 17:48:53", "time_modified": "2025-11-04 17:48:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When aggregating and processing data from multiple API sources with potential type inconsistencies", "category": "failure", "created_time": "2025-11-04 17:48:53", "modified_time": "2025-11-04 17:48:53", "generalized_query": "Retrieving and analyzing media items across multiple library types with heterogeneous data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5fff04ad767a4d59868824adb7617b3a", "memory_type": "procedural", "when_to_use": "When working with APIs that require access tokens for protected endpoints", "content": "Properly chained authentication flow: retrieved credentials from supervisor API → used them to obtain access token via login API → passed token in all subsequent API requests. This established secure context for accessing private user libraries while following the platform's authentication requirements.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When working with APIs that require access tokens for protected endpoints", "category": "success", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "generalized_query": "Access protected user data through authentication APIs before querying resource APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d31c8c47ef354ae39c70b02b762a48e5", "memory_type": "procedural", "when_to_use": "When retrieving song data from multiple nested sources (e.g., song libraries, albums, playlists) requiring cross-referencing of metadata like release dates", "content": "Higher-scoring approach systematically: (1) Aggregated songs from all three distinct library types using correct APIs (show_song_library, show_album, show_playlist), (2) Properly retrieved nested song data from albums/playlists via dedicated endpoints, (3) Used explicit release_date field from song metadata rather than approximating with created_at timestamps. Lower-scoring approach incorrectly treated albums/playlists as songs and misused creation dates instead of actual song release dates.", "score": 0, "time_created": "2025-11-04 17:48:54", "time_modified": "2025-11-04 17:48:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving song data from multiple nested sources (e.g., song libraries, albums, playlists) requiring cross-referencing of metadata like release dates", "category": "comparative", "created_time": "2025-11-04 17:48:54", "modified_time": "2025-11-04 17:48:54", "generalized_query": "Identify the earliest released media item across nested library structures with paginated APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b95647e9b7cb43b899cf89a8a2ac8c1b", "memory_type": "procedural", "when_to_use": "When combining data from multiple sources for comparison", "content": "Always verify that all data sources contribute comparable fields. When merging datasets, implement explicit null-checking and type-validation to avoid comparing incomplete or mismatched data. Process each data source separately before aggregation.", "score": 0, "time_created": "2025-11-04 17:49:05", "time_modified": "2025-11-04 17:49:05", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When combining data from multiple sources for comparison", "category": "failure", "created_time": "2025-11-04 17:49:05", "modified_time": "2025-11-04 17:49:05", "generalized_query": "Aggregate and compare data from heterogeneous sources to find maximum/minimum values", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c83b857b8c614859811d78e6959ecc9e", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication and pagination", "content": "The higher-scoring approach systematically checked API specifications, implemented proper authentication flow, and handled pagination with a while loop. This ensured complete data retrieval (23 playlists) without redundant calls. The lower-scoring approach would have failed to handle pagination and authentication edge cases.", "score": 0, "time_created": "2025-11-04 17:49:42", "time_modified": "2025-11-04 17:49:42", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When interacting with APIs that require authentication and pagination", "category": "comparative", "created_time": "2025-11-04 17:49:42", "modified_time": "2025-11-04 17:49:42", "generalized_query": "Retrieving paginated data from an authenticated API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fe5870b2bcb14675bfc09b2915cf21ce", "memory_type": "procedural", "when_to_use": "When creating payment requests requiring user email lookup", "content": "The higher-scoring approach correctly implemented a search_users step to validate Venmo emails before creating requests. The lower-scoring approach attempted invalid email formatting and failed to implement proper user lookup, leading to validation errors. This demonstrates the importance of API-compliant user verification before transaction creation.", "score": 0, "time_created": "2025-11-04 17:49:42", "time_modified": "2025-11-04 17:49:42", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Work Dinner'", "when_to_use": "When creating payment requests requiring user email lookup", "category": "comparative", "created_time": "2025-11-04 17:49:42", "modified_time": "2025-11-04 17:49:42", "generalized_query": "Cross-referencing contact information with financial transaction systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "24a09a389f0f4af79f5f0953f77781df", "memory_type": "procedural", "when_to_use": "When handling multi-step authentication and API integration for task automation", "content": "The higher-scoring approach demonstrated superior error handling by: 1) Validating API availability before execution (show_api_doc checks), 2) Correctly handling authentication failures by switching from email to phone number login, 3) Systematically parsing note content with precise string manipulation, and 4) Using the correct create_payment_request API instead of assuming APIs existed. The lower-scoring solution failed due to: 1) Assuming non-existent APIs (get_note_by_title), 2) Repeated authentication failures from incorrect credentials, 3) Failing to extract contact IDs properly, and 4) Attempting to reset passwords without completing the flow.", "score": 0, "time_created": "2025-11-04 17:49:47", "time_modified": "2025-11-04 17:49:47", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Friends Dinner'", "when_to_use": "When handling multi-step authentication and API integration for task automation", "category": "comparative", "created_time": "2025-11-04 17:49:47", "modified_time": "2025-11-04 17:49:47", "generalized_query": "Automating payment requests using contact and financial data from multiple apps", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "64b1eebe86f44fa087d66927ef0d5b39", "memory_type": "procedural", "when_to_use": "When handling authentication errors across apps", "content": "Systematically validate credential retrieval from supervisor.show_account_passwords before login attempts, and implement fallback strategies like password reset workflows when invalid credentials are detected", "score": 0, "time_created": "2025-11-04 17:49:53", "time_modified": "2025-11-04 17:49:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I went on a dinner with some of my friends yesterday... Make payment requests for others...", "when_to_use": "When handling authentication errors across apps", "category": "failure", "created_time": "2025-11-04 17:49:53", "modified_time": "2025-11-04 17:49:53", "generalized_query": "Resolve authentication failures when accessing account-sensitive APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "25c8acaa481a49078007c61224ccd679", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require precise parameter formatting (e.g., email filtering in Venmo transactions)", "content": "The higher-scoring approach systematically validated API constraints (e.g., `user_email` must be a single email address, not a list), implemented pagination correctly, and handled authentication flows methodically. The lower-scoring approach failed due to invalid parameter formats (e.g., comma-separated emails), improper error handling, and incomplete API specification checks.", "score": 0, "time_created": "2025-11-04 17:50:02", "time_modified": "2025-11-04 17:50:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When interacting with APIs that require precise parameter formatting (e.g., email filtering in Venmo transactions)", "category": "comparative", "created_time": "2025-11-04 17:50:02", "modified_time": "2025-11-04 17:50:02", "generalized_query": "Calculating monetary transfers to specific contacts via a social payment app within a date range", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bca5480818e74dc6b689e4a4630d24d8", "memory_type": "procedural", "when_to_use": "When integrating with payment APIs like Venmo and encountering validation errors during payment request creation", "content": "The higher-scoring approach systematically validated API parameters through documentation checks (apis.api_docs.show_api_doc) before implementation, ensuring alignment with required fields like 'user_email' and proper amount formatting. It also implemented explicit error handling for missing contacts and API parameter mismatches, whereas the lower-scoring approach repeatedly failed due to incorrect parameter assumptions (e.g., using 'to_user_id' instead of 'user_email') and unhandled validation constraints.", "score": 0, "time_created": "2025-11-04 17:49:58", "time_modified": "2025-11-04 17:49:58", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make payment requests for others with a description note 'Dinner with Colleagues'", "when_to_use": "When integrating with payment APIs like Venmo and encountering validation errors during payment request creation", "category": "comparative", "created_time": "2025-11-04 17:49:58", "modified_time": "2025-11-04 17:49:58", "generalized_query": "Send payment requests via third-party API with dynamic user identification and amount calculation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e79a5b93c1bd46c48811128045256b5c", "memory_type": "procedural", "when_to_use": "When parsing structured data from notes for financial reconciliation", "content": "The higher-scoring approach used precise string parsing with clear header skipping (lines[1:]) and explicit currency formatting (strip().replace('$','')), while the lower-scoring approach required multiple cleanup steps (name.lstrip('- ').strip()) due to initial parsing errors. The higher approach also maintained data type integrity by converting to float immediately, preventing downstream validation issues seen in the lower approach.", "score": 0, "time_created": "2025-11-04 17:49:58", "time_modified": "2025-11-04 17:49:58", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I've made a note of individual shares in simple note", "when_to_use": "When parsing structured data from notes for financial reconciliation", "category": "comparative", "created_time": "2025-11-04 17:49:58", "modified_time": "2025-11-04 17:49:58", "generalized_query": "Extract numerical values from semi-structured text notes for automated financial processing", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8421a4a1bb4e46ea991a35427cd7f70f", "memory_type": "procedural", "when_to_use": "When retrieving account credentials from the supervisor app before using them in API calls", "content": "Always fetch account credentials (e.g., passwords) from the supervisor app before attempting to use them in API calls. Failing to initialize credential variables first will result in runtime errors.", "score": 0, "time_created": "2025-11-04 17:50:53", "time_modified": "2025-11-04 17:50:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When retrieving account credentials from the supervisor app before using them in API calls", "category": "failure", "created_time": "2025-11-04 17:50:53", "modified_time": "2025-11-04 17:50:53", "generalized_query": "Retrieving account-specific credentials for API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d27ca8a1cc0f449a9fa1d2b53a75b93b", "memory_type": "procedural", "when_to_use": "When querying paginated transaction data with date filters", "content": "Implement robust pagination loops with explicit termination conditions (e.g., empty page responses) and validate date filters match API parameter requirements (YYYY-MM-DD format). Always verify the total by inspecting raw paginated responses for consistency.", "score": 0, "time_created": "2025-11-04 17:50:53", "time_modified": "2025-11-04 17:50:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When querying paginated transaction data with date filters", "category": "failure", "created_time": "2025-11-04 17:50:53", "modified_time": "2025-11-04 17:50:53", "generalized_query": "Aggregating financial data from paginated API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8157d1ec485d47b19a154115d1ae9f6e", "memory_type": "procedural", "when_to_use": "When accessing an app requires login credentials that may be outdated or incorrect", "content": "Always validate stored credentials before proceeding with dependent operations. Implement fallback mechanisms (e.g., manual input, credential refresh workflows) when automated retrieval fails.", "score": 0, "time_created": "2025-11-04 17:50:59", "time_modified": "2025-11-04 17:50:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When accessing an app requires login credentials that may be outdated or incorrect", "category": "failure", "created_time": "2025-11-04 17:50:59", "modified_time": "2025-11-04 17:50:59", "generalized_query": "Tasks requiring access to app data via stored credentials with potential validity issues", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "ddeeed0a8cef4748858101fd2e352e90", "memory_type": "procedural", "when_to_use": "When filtering transaction data based on dynamic criteria", "content": "Validate date formatting (YYYY-MM-DDTHH:MM:SS) and implement dual-direction relationship checks (sender/receiver) to ensure complete dataset coverage.", "score": 0, "time_created": "2025-11-04 17:50:59", "time_modified": "2025-11-04 17:50:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When filtering transaction data based on dynamic criteria", "category": "failure", "created_time": "2025-11-04 17:50:59", "modified_time": "2025-11-04 17:50:59", "generalized_query": "Tasks requiring temporal and relational filtering of transactional datasets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c5142fd9ea740378b0f8f7481de4701", "memory_type": "procedural", "when_to_use": "When retrieving paginated data from APIs that require full dataset aggregation", "content": "The higher-scoring approach systematically handled pagination by looping until empty results, while the lower-scoring approach truncated results by using a fixed page limit. The higher approach also correctly parsed song genres from API responses, whereas the lower approach attempted invalid field access ('genres' instead of 'genre') and failed to handle singular vs plural field names. Proper API documentation review before implementation was critical for success.", "score": 0, "time_created": "2025-11-04 17:51:04", "time_modified": "2025-11-04 17:51:04", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify.", "when_to_use": "When retrieving paginated data from APIs that require full dataset aggregation", "category": "comparative", "created_time": "2025-11-04 17:51:04", "modified_time": "2025-11-04 17:51:04", "generalized_query": "Process paginated API results to extract nested data matching specific criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2d7b8f33c4054921a5077b21c38b9490", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens and parameter validation", "content": "The agent explicitly passed the `access_token` obtained during login to subsequent API calls, ensuring authorized access. This aligns with REST API best practices and avoids authentication errors. Additionally, inspecting API specs (e.g., `show_api_doc`) before execution ensured correct parameter usage.", "score": 0, "time_created": "2025-11-04 17:51:21", "time_modified": "2025-11-04 17:51:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify", "when_to_use": "When interacting with APIs requiring authentication tokens and parameter validation", "category": "success", "created_time": "2025-11-04 17:51:21", "modified_time": "2025-11-04 17:51:21", "generalized_query": "Execute API calls requiring access tokens and dynamic parameter injection", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5e7d2e903c2d408880a7217432112c7f", "memory_type": "procedural", "when_to_use": "When extracting genre-based metadata from music streaming APIs with paginated responses", "content": "The higher-scoring approach systematically validated API schema details (step 13-14) before processing songs, discovering the API returns 'genre' as a string rather than a list. This allowed precise filtering using case-insensitive matching (step 15). The lower-scoring approach incorrectly assumed 'genres' was a list field, leading to zero matches before premature termination.", "score": 0, "time_created": "2025-11-04 17:51:21", "time_modified": "2025-11-04 17:51:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify", "when_to_use": "When extracting genre-based metadata from music streaming APIs with paginated responses", "category": "comparative", "created_time": "2025-11-04 17:51:21", "modified_time": "2025-11-04 17:51:21", "generalized_query": "Extract and process genre-specific metadata from paginated music libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bd86a53ff78b4342a4701d73cdbc9193", "memory_type": "procedural", "when_to_use": "When accessing nested or ambiguous API fields that may change structure", "content": "The higher-scoring approach demonstrated superior error resilience by: (1) Proactively verifying API response structure after failure using `show_api_doc`, (2) Correctly identifying singular 'genre' field vs. plural 'genres' list, and (3) Implementing defensive checks with `.get()` to prevent KeyErrors. The lower-scoring approach failed to adapt after initial failure and continued with invalid field assumptions.", "score": 0, "time_created": "2025-11-04 17:51:40", "time_modified": "2025-11-04 17:51:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When accessing nested or ambiguous API fields that may change structure", "category": "comparative", "created_time": "2025-11-04 17:51:40", "modified_time": "2025-11-04 17:51:40", "generalized_query": "Extract specific metadata (e.g., genre) from music catalog items via paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "945affd8766f4b2b99884d1d4ab2cfb9", "memory_type": "procedural", "when_to_use": "When performing bulk operations on unique entities across multiple API endpoints", "content": "Used set operations to collect unique artist IDs across multiple songs, then executed atomic follow operations with clear success verification. This approach minimized redundant API calls and ensured idempotent operations through deduplication, with explicit success confirmation for each action.", "score": 0, "time_created": "2025-11-04 17:51:44", "time_modified": "2025-11-04 17:51:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify.", "when_to_use": "When performing bulk operations on unique entities across multiple API endpoints", "category": "success", "created_time": "2025-11-04 17:51:44", "modified_time": "2025-11-04 17:51:44", "generalized_query": "Execute bulk actions on deduplicated entities derived from multiple data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7f3ed4e4228e494794ef9dd6a88e0078", "memory_type": "procedural", "when_to_use": "When processing structured text files with variable formatting to extract numerical values", "content": "Successfully implemented adaptive content parsing by first attempting direct string splitting, then debugging file content structure, and finally implementing line-by-line pattern matching. The solution first filtered files using directory_path='~/bills/electricity' and year-based substring filtering, then handled parsing errors by inspecting actual file content format and adjusting extraction logic to match 'Total Amount => $X.XX' pattern. This demonstrates the importance of combining file system navigation with flexible text parsing strategies.", "score": 0, "time_created": "2025-11-04 17:51:55", "time_modified": "2025-11-04 17:51:55", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When processing structured text files with variable formatting to extract numerical values", "category": "success", "created_time": "2025-11-04 17:51:55", "modified_time": "2025-11-04 17:51:55", "generalized_query": "Calculate aggregated financial metric from text-based invoices/bills stored in a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "29b82702b02f4711b73ff6bd68ba547b", "memory_type": "procedural", "when_to_use": "When working with API responses that return nested data structures", "content": "Always explicitly extract the content field from API responses using .get() method when dealing with nested structures to avoid type errors.", "score": 0, "time_created": "2025-11-04 17:51:56", "time_modified": "2025-11-04 17:51:56", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When working with API responses that return nested data structures", "category": "failure", "created_time": "2025-11-04 17:51:56", "modified_time": "2025-11-04 17:51:56", "generalized_query": "Extracting specific fields from API response dictionaries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a22dc069efb14c888118aa21a8768685", "memory_type": "procedural", "when_to_use": "When extracting structured data from unstructured text files with unknown formats", "content": "The higher-scoring approach demonstrated superior effectiveness by: (1) inspecting sample file content to discover the exact 'Total Amount => $72' format, (2) implementing precise string parsing with regex-like logic ('split('=>')' and '$' removal), and (3) filtering files by both '.txt' extension AND '2023-' prefix in filenames. The lower-scoring approach failed because it relied on generic keywords ('Total Cost'/'Amount Due') without validating actual file formats first.", "score": 0, "time_created": "2025-11-04 17:52:08", "time_modified": "2025-11-04 17:52:08", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my internet bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When extracting structured data from unstructured text files with unknown formats", "category": "comparative", "created_time": "2025-11-04 17:52:08", "modified_time": "2025-11-04 17:52:08", "generalized_query": "Extract numeric values from text files with inconsistent formatting patterns", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "40fec46fe9f4416db723c6339098ceba", "memory_type": "procedural", "when_to_use": "When calling APIs that require specific parameter names, especially after initial use", "content": "Always verify API parameter names against documentation before execution, especially when similar parameters exist (e.g., 'directory_path' vs 'file_path'). Parameter name mismatches will cause validation errors.", "score": 0, "time_created": "2025-11-04 17:52:27", "time_modified": "2025-11-04 17:52:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When calling APIs that require specific parameter names, especially after initial use", "category": "failure", "created_time": "2025-11-04 17:52:27", "modified_time": "2025-11-04 17:52:27", "generalized_query": "Extracting financial data from files in a specific directory using an API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d3af3175d8504e19836607624781403d", "memory_type": "procedural", "when_to_use": "When parsing structured data from text files", "content": "Implement defensive parsing with explicit validation (e.g., 'Cable Bill' check) to avoid incorrect data inclusion. Use string splitting with fallback mechanisms for inconsistent formats.", "score": 0, "time_created": "2025-11-04 17:52:27", "time_modified": "2025-11-04 17:52:27", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When parsing structured data from text files", "category": "failure", "created_time": "2025-11-04 17:52:27", "modified_time": "2025-11-04 17:52:27", "generalized_query": "Extracting numerical values from semi-structured text content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "ecd487b51bcc41ff9b895c8136144fc3", "memory_type": "procedural", "when_to_use": "When handling API responses with nested authentication requirements", "content": "Demonstrated effective authentication workflow: (1) Retrieve stored credentials via supervisor.show_account_passwords, (2) Use credentials to obtain access_token via app-specific login API, (3) Propagate access_token to subsequent API calls. This pattern ensures secure credential handling while maintaining session validity across operations.", "score": 0, "time_created": "2025-11-04 17:52:35", "time_modified": "2025-11-04 17:52:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the total cost of my cable bills for this year? The bills are in \"~/bills/\" directory of my file system.", "when_to_use": "When handling API responses with nested authentication requirements", "category": "success", "created_time": "2025-11-04 17:52:35", "modified_time": "2025-11-04 17:52:35", "generalized_query": "Access protected file systems requiring multi-stage authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "da6ffe3f7e81419692653a29d6d564e3", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens and specific parameter names", "content": "Always validate API parameter names and required fields against API documentation before execution. Authentication tokens must be explicitly included in every API call that requires authorization.", "score": 0, "time_created": "2025-11-04 17:52:45", "time_modified": "2025-11-04 17:52:45", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When interacting with APIs requiring authentication tokens and specific parameter names", "category": "failure", "created_time": "2025-11-04 17:52:45", "modified_time": "2025-11-04 17:52:45", "generalized_query": "Organize files in a directory based on metadata using API interactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "eec7088106a244a2a4a16431a42b2e76", "memory_type": "procedural", "when_to_use": "When grouping files by temporal metadata (e.g., creation date) and relocating them to categorized subdirectories.", "content": "1. **Extract metadata programmatically**: Use `file_system.show_file()` to retrieve creation timestamps for all files. 2. **Group files logically**: Parse timestamps into a consistent format (e.g., `YYYY-MM`) and map them to predefined categories (e.g., February → Petra, March → Budapest). 3. **Ensure directory existence**: Check for target subdirectories using `directory_exists()` and create them conditionally with `create_directory()`. 4. **Use precise API parameters**: Correctly reference `source_file_path` and `destination_file_path` in `move_file()` to avoid validation failures.", "score": 0, "time_created": "2025-11-04 17:52:51", "time_modified": "2025-11-04 17:52:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations...", "when_to_use": "When grouping files by temporal metadata (e.g., creation date) and relocating them to categorized subdirectories.", "category": "success", "created_time": "2025-11-04 17:52:51", "modified_time": "2025-11-04 17:52:51", "generalized_query": "Classify and relocate files into subdirectories based on timestamp patterns (e.g., month/year).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "66b27c5547cb4274848f0d68d5c9a56b", "memory_type": "procedural", "when_to_use": "When interacting with paginated APIs requiring authentication tokens", "content": "The higher-scoring approach systematically handled API authentication, verified parameters via API docs, and implemented pagination loops to ensure complete data retrieval. It explicitly passed access tokens in every API call and validated API responses to avoid errors. The lower-scoring approach failed due to missing authentication parameters, incorrect API method usage, and incomplete filtering logic that returned empty results.", "score": 0, "time_created": "2025-11-04 17:52:50", "time_modified": "2025-11-04 17:52:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations.", "when_to_use": "When interacting with paginated APIs requiring authentication tokens", "category": "comparative", "created_time": "2025-11-04 17:52:50", "modified_time": "2025-11-04 17:52:50", "generalized_query": "Organize files in a directory based on metadata using paginated API calls with authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8f0834f6412747d99dda9729cb7cf163", "memory_type": "procedural", "when_to_use": "When filtering directory contents by path", "content": "Use exact path matching with directory listing APIs instead of relying on list comprehensions that may fail due to path formatting inconsistencies. Verify directory contents exist before applying filters.", "score": 0, "time_created": "2025-11-04 17:53:09", "time_modified": "2025-11-04 17:53:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When filtering directory contents by path", "category": "failure", "created_time": "2025-11-04 17:53:09", "modified_time": "2025-11-04 17:53:09", "generalized_query": "Filtering files in a directory based on specific path patterns", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "374263a7f7dd453cb8da424b0101530d", "memory_type": "procedural", "when_to_use": "When encountering validation errors in API calls due to parameter naming mismatches", "content": "After receiving a 422 validation error indicating required parameters were missing, the agent successfully resolved the issue by consulting API documentation and adjusting parameter names from 'file_path' and 'destination_path' to the required 'source_file_path' and 'destination_file_path'. This demonstrates the importance of checking API specifications when encountering validation errors rather than making assumptions about parameter naming conventions.", "score": 0, "time_created": "2025-11-04 17:53:11", "time_modified": "2025-11-04 17:53:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my \"~/photographs/vacations/\" directory by organizing the photos from three vacations...", "when_to_use": "When encountering validation errors in API calls due to parameter naming mismatches", "category": "success", "created_time": "2025-11-04 17:53:11", "modified_time": "2025-11-04 17:53:11", "generalized_query": "Troubleshoot API validation errors caused by incorrect parameter naming", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "63ae720678b1448e98471d50070b0894", "memory_type": "procedural", "when_to_use": "When interacting with APIs requiring authentication tokens", "content": "Always explicitly include the access_token parameter in API calls after authentication. Re-authenticate if tokens expire during long workflows.", "score": 0, "time_created": "2025-11-04 17:53:12", "time_modified": "2025-11-04 17:53:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When interacting with APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 17:53:12", "modified_time": "2025-11-04 17:53:12", "generalized_query": "Organize files in a directory based on metadata (e.g., creation date)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3b866efb22b94612a51e5a3c26b9531b", "memory_type": "procedural", "when_to_use": "When handling file/directory operations with potential naming conflicts", "content": "Set overwrite=True in move/copy operations when destination files might already exist. Validate source/destination paths to avoid double slashes or invalid characters.", "score": 0, "time_created": "2025-11-04 17:53:12", "time_modified": "2025-11-04 17:53:12", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When handling file/directory operations with potential naming conflicts", "category": "failure", "created_time": "2025-11-04 17:53:12", "modified_time": "2025-11-04 17:53:12", "generalized_query": "Move files between directories with possible duplicate filenames", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ba625bf62064b2f82ca204d9c38c153", "memory_type": "procedural", "when_to_use": "When dealing with paginated API responses or iterative file operations requiring incremental validation", "content": "The higher-scoring approach for the Spotify task used a robust pagination loop (`while page_index < 10`) with explicit checks for empty responses, ensuring all data was fetched before finalizing the result. In contrast, the lower-scoring approach for the file-organization task initially processed unfiltered directory listings, leading to redundant API calls and errors. Incremental validation (e.g., verifying directory existence before creating it) and stepwise execution (e.g., isolating directory creation before file movement) in the higher-scoring approach reduced cascading failures.", "score": 0, "time_created": "2025-11-04 17:53:21", "time_modified": "2025-11-04 17:53:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When dealing with paginated API responses or iterative file operations requiring incremental validation", "category": "comparative", "created_time": "2025-11-04 17:53:21", "modified_time": "2025-11-04 17:53:21", "generalized_query": "Retrieve a complete dataset from a paginated API and perform post-processing (e.g., counting items).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5570c2d851ac4a54baeac6602458fa12", "memory_type": "procedural", "when_to_use": "When handling API data with potential missing or inconsistent fields", "content": "The agent successfully handled missing `album_id` fields in song library entries by implementing a validation check (`if album_id is None: continue`) before attempting to fetch album details. This prevented API errors and ensured robust data processing. The solution demonstrates the importance of defensive programming when working with external APIs where data completeness cannot be guaranteed.", "score": 0, "time_created": "2025-11-04 17:53:39", "time_modified": "2025-11-04 17:53:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When handling API data with potential missing or inconsistent fields", "category": "success", "created_time": "2025-11-04 17:53:39", "modified_time": "2025-11-04 17:53:39", "generalized_query": "Remove media items from a user's library/playlists based on metadata criteria (e.g., release date)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6f9459ead82049c6835fe94c8ca348b8", "memory_type": "procedural", "when_to_use": "When processing paginated API responses for bulk operations", "content": "The agent implemented a pagination loop (`while True` with `page_index` increment) to collect all relevant items across pages before performing batch deletions. This approach ensured completeness while respecting API rate limits and page size constraints. The pattern of first gathering all IDs to remove and then executing deletions in a separate loop minimized API calls and transaction costs.", "score": 0, "time_created": "2025-11-04 17:53:39", "time_modified": "2025-11-04 17:53:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When processing paginated API responses for bulk operations", "category": "success", "created_time": "2025-11-04 17:53:39", "modified_time": "2025-11-04 17:53:39", "generalized_query": "Iterate through paginated results to perform bulk modifications on user libraries/collections", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e0a553dd05084e8bb534fa633a8b8931", "memory_type": "procedural", "when_to_use": "When working with time-sensitive filters (e.g., release year thresholds)", "content": "Always explicitly validate date parsing logic (e.g., 'release_date' field format) against API documentation to avoid misinterpretation of temporal thresholds like 'before 2021'.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When working with time-sensitive filters (e.g., release year thresholds)", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "generalized_query": "Ensure temporal data parsing aligns with API response formats when applying date-based filters.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "06bb464956454d03be67f6b74597d1cc", "memory_type": "procedural", "when_to_use": "When working with APIs that return paginated data or require metadata not directly available in initial responses", "content": "Always validate the availability of required metadata fields (e.g., 'added_at', 'release_year') in API responses before implementing filtering logic. When critical metadata is missing, consider alternative approaches like cross-referencing with other APIs or endpoints that might expose the required information.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When working with APIs that return paginated data or require metadata not directly available in initial responses", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "generalized_query": "Filter media items based on metadata fields that may not be directly available in standard API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "16bc8748be8f43a4836c6a2a4fd19385", "memory_type": "procedural", "when_to_use": "When encountering TypeErrors related to missing or unexpected fields in API response structures", "content": "Implement defensive programming patterns: 1) Inspect API response structures before accessing nested fields 2) Use .get() with default values for optional fields 3) Add explicit null checks for critical path dependencies. This prevents cascading failures when API schemas change or fields are missing.", "score": 0, "time_created": "2025-11-04 17:53:50", "time_modified": "2025-11-04 17:53:50", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When encountering TypeErrors related to missing or unexpected fields in API response structures", "category": "failure", "created_time": "2025-11-04 17:53:50", "modified_time": "2025-11-04 17:53:50", "generalized_query": "Debugging API response structures when field access fails", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f9c6ab42faa84185844d4cbeb0692a22", "memory_type": "procedural", "when_to_use": "When dealing with nested collection modifications requiring item validation", "content": "Implemented try-except blocks during removal operations to handle 'song not found' errors gracefully. This pattern prevented execution failures when songs were already removed or never existed in target playlists, maintaining process continuity while logging error details for debugging.", "score": 0, "time_created": "2025-11-04 17:53:57", "time_modified": "2025-11-04 17:53:57", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When dealing with nested collection modifications requiring item validation", "category": "success", "created_time": "2025-11-04 17:53:57", "modified_time": "2025-11-04 17:53:57", "generalized_query": "Modify items in nested collections while validating existence", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0e12490ad52344ef92949527b2674588", "memory_type": "procedural", "when_to_use": "When handling API authentication tokens with limited lifespans during multi-step operations", "content": "The higher-scoring approach proactively re-authenticated once when the token expired, then used the new token consistently for all subsequent operations. The lower-scoring approach repeatedly attempted operations with expired tokens (10+ failed attempts) without resolving the authentication issue, wasting resources and failing to complete the task. Effective token management and single re-authentication point proved significantly more efficient.", "score": 0, "time_created": "2025-11-04 17:54:06", "time_modified": "2025-11-04 17:54:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When handling API authentication tokens with limited lifespans during multi-step operations", "category": "comparative", "created_time": "2025-11-04 17:54:06", "modified_time": "2025-11-04 17:54:06", "generalized_query": "Execute bulk content removal from music platforms requiring API authentication and pagination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "96b69b2a5a9b47d18f14f0a6c462d64a", "memory_type": "procedural", "when_to_use": "When processing paginated API responses for comprehensive data collection", "content": "The higher-scoring approach implemented proper pagination loops (while True with break condition) to collect complete library data before processing. The lower-scoring approach only retrieved initial pages (page_index < 10 hard-coded) potentially missing newer playlists/songs. Comprehensive data collection enabled accurate filtering and ensured no outdated content was overlooked.", "score": 0, "time_created": "2025-11-04 17:54:06", "time_modified": "2025-11-04 17:54:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When processing paginated API responses for comprehensive data collection", "category": "comparative", "created_time": "2025-11-04 17:54:06", "modified_time": "2025-11-04 17:54:06", "generalized_query": "Process paginated API results for complete dataset analysis and modification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2b9945f8649940d78008c032f5d6b8f9", "memory_type": "procedural", "when_to_use": "When integrating multiple APIs to solve a task requiring sequential data retrieval and conditional logic", "content": "Higher-scoring approach systematically validated API endpoints before execution (e.g., checking play_music API specs after failed play_playlist attempt). It also implemented precise duration calculation by parsing workout content with explicit hour/minute handling, while lower-scoring approach had syntax errors in comments and failed to properly parse duration fields. The higher-scoring solution demonstrated better error recovery by falling back to longest playlist when no exact match existed.", "score": 0, "time_created": "2025-11-04 17:54:31", "time_modified": "2025-11-04 17:54:31", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. The workout plan is in Simple Note.", "when_to_use": "When integrating multiple APIs to solve a task requiring sequential data retrieval and conditional logic", "category": "comparative", "created_time": "2025-11-04 17:54:31", "modified_time": "2025-11-04 17:54:31", "generalized_query": "Execute multi-step workflow involving data extraction from one service (Simple Note) to inform actions in another service (Spotify)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3904e9a69f60453b85f984aa0b0a8203", "memory_type": "procedural", "when_to_use": "When retrieving paginated results from API endpoints", "content": "Implement page_index increment loop with exit condition checking empty pages. This pattern ensures full dataset collection regardless of pagination limits (default 5 items/page in this case). Works for any API with page_index parameter.", "score": 0, "time_created": "2025-11-04 17:54:36", "time_modified": "2025-11-04 17:54:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How many playlists do I have in Spotify?", "when_to_use": "When retrieving paginated results from API endpoints", "category": "success", "created_time": "2025-11-04 17:54:36", "modified_time": "2025-11-04 17:54:36", "generalized_query": "Retrieve complete dataset from paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "afab1338be71405291aa3ccc31509de9", "memory_type": "procedural", "when_to_use": "When executing code blocks that require pure Python syntax without explanatory text", "content": "Never include natural language explanations within code blocks. Separate analysis commentary from executable code to avoid syntax errors caused by unterminated strings or invalid characters. Use print() statements for debugging instead of inline text in code blocks.", "score": 0, "time_created": "2025-11-04 17:54:38", "time_modified": "2025-11-04 17:54:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today... The workout plan is in Simple Note.", "when_to_use": "When executing code blocks that require pure Python syntax without explanatory text", "category": "failure", "created_time": "2025-11-04 17:54:38", "modified_time": "2025-11-04 17:54:38", "generalized_query": "Execute code blocks requiring strict syntax compliance", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "91e7563395bc44c9a6f52f0c5e9004f9", "memory_type": "procedural", "when_to_use": "When needing to retrieve data from one app and use it in another, especially when APIs are not immediately obvious", "content": "Successfully implemented a multi-step workflow: 1) Used search_notes after discovering get_note_by_title didn't exist 2) Properly handled authentication for both Simple Note and Spotify 3) Discovered and used add_to_queue + play_music combination after finding play_playlist was unavailable. Key pattern: Check API docs when encountering failures, use search/list APIs when direct access isn't possible, and maintain access tokens between steps.", "score": 0, "time_created": "2025-11-04 17:54:40", "time_modified": "2025-11-04 17:54:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When needing to retrieve data from one app and use it in another, especially when APIs are not immediately obvious", "category": "success", "created_time": "2025-11-04 17:54:40", "modified_time": "2025-11-04 17:54:40", "generalized_query": "Execute cross-app workflow where data from one service (e.g., note content) informs action in another (e.g., music playback)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d78853f2f1b64fb4860a2a0921432aee", "memory_type": "procedural", "when_to_use": "When integrating multiple APIs to fulfill a task requiring data from different sources, such as retrieving a workout plan from a note-taking app and selecting a suitable playlist from a music streaming service.", "content": "The higher-scoring approach systematically parsed the workout duration from the note content, calculated the required playlist criteria, and leveraged Spotify's `search_playlists` API with filters (e.g., query='workout', page_limit=10) to identify suitable playlists. It prioritized playlists with ≥10 songs and sorted by like_count to ensure popularity and relevance. In contrast, the lower-scoring approach failed to extract duration_mins from playlists, made redundant login attempts, and relied on incomplete or incorrect API assumptions (e.g., missing 'duration_mins' field). The higher approach also correctly handled pagination and API constraints, while the lower one generated syntax errors and unproductive steps.", "score": 0, "time_created": "2025-11-04 17:55:07", "time_modified": "2025-11-04 17:55:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When integrating multiple APIs to fulfill a task requiring data from different sources, such as retrieving a workout plan from a note-taking app and selecting a suitable playlist from a music streaming service.", "category": "comparative", "created_time": "2025-11-04 17:55:07", "modified_time": "2025-11-04 17:55:07", "generalized_query": "Execute a multi-step workflow involving data extraction from one app (e.g., note-taking) and action execution in another (e.g., music streaming) based on contextual requirements.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "121d8bf6cf1d4e21b9c5d97d9fa68c3b", "memory_type": "procedural", "when_to_use": "When performing data cleanup tasks requiring irreversible actions like deletion", "content": "Always verify that removal/delete APIs are explicitly called - do not rely on simulation/debug print statements alone. Ensure irreversible actions are executed only after validation and confirmation of correct filtering logic.", "score": 0, "time_created": "2025-11-04 17:55:23", "time_modified": "2025-11-04 17:55:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest.", "when_to_use": "When performing data cleanup tasks requiring irreversible actions like deletion", "category": "failure", "created_time": "2025-11-04 17:55:23", "modified_time": "2025-11-04 17:55:23", "generalized_query": "Automated library cleanup based on user preferences with conditional removal criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "156348b68e8b46b5b9731231269a2207", "memory_type": "procedural", "when_to_use": "When validating nested dependencies (e.g., albums requiring all child songs to meet criteria)", "content": "The higher-scoring approach explicitly checked each album’s song IDs against the `songs_to_keep` set, ensuring accurate determination of 'downloaded' status. The lower-scoring approach used a nested loop to verify downloaded status, which is computationally expensive for large libraries. By leveraging set operations (`all(song_id in songs_to_keep for song_id in album['song_ids'])`), the higher approach achieved O(n) complexity per album versus O(n*m) in the lower approach (where m = average songs per album). This optimization was critical for scalability.", "score": 0, "time_created": "2025-11-04 17:55:39", "time_modified": "2025-11-04 17:55:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When validating nested dependencies (e.g., albums requiring all child songs to meet criteria)", "category": "comparative", "created_time": "2025-11-04 17:55:39", "modified_time": "2025-11-04 17:55:39", "generalized_query": "Validate parent-child relationships in datasets where parent inclusion depends on child attributes meeting criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cad5caf51207490d87b7f734dc65bb8d", "memory_type": "procedural", "when_to_use": "When performing data cleanup tasks requiring cross-referencing multiple datasets with pagination", "content": "The higher-scoring approach achieved better performance by: 1) Pre-fetching all required datasets (library, downloads, likes) before processing to minimize API calls, 2) Using set operations for O(1) lookups when verifying song/album eligibility, and 3) Implementing proper pagination loops to ensure complete data retrieval. The lower-scoring approach suffered from redundant API calls within loops and failed to handle edge cases like missing fields in API responses, leading to KeyErrors and incomplete data processing.", "score": 0, "time_created": "2025-11-04 17:55:35", "time_modified": "2025-11-04 17:55:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked and downloaded, and remove the rest.", "when_to_use": "When performing data cleanup tasks requiring cross-referencing multiple datasets with pagination", "category": "comparative", "created_time": "2025-11-04 17:55:35", "modified_time": "2025-11-04 17:55:35", "generalized_query": "Filter user media libraries based on intersection of multiple criteria (likes/downloads) across paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bdb69d1ef96d4ad087c39b605147e61d", "memory_type": "procedural", "when_to_use": "When working with apps that require authentication tokens for subsequent API calls", "content": "Demonstrated secure credential handling by retrieving passwords via supervisor.show_account_passwords, then using app-specific credentials to obtain access tokens. Maintained token reuse across subsequent API calls rather than re-authenticating, following standard OAuth patterns while avoiding hardcoding sensitive information.", "score": 0, "time_created": "2025-11-04 17:55:37", "time_modified": "2025-11-04 17:55:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Task: How many playlists do I have in Spotify?", "when_to_use": "When working with apps that require authentication tokens for subsequent API calls", "category": "success", "created_time": "2025-11-04 17:55:37", "modified_time": "2025-11-04 17:55:37", "generalized_query": "Authenticate to service APIs using stored credentials from supervisor interface", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "adad5b5486a140b08c82e816e158d0a9", "memory_type": "procedural", "when_to_use": "When interacting with paginated APIs or handling nested data structures with potential schema inconsistencies", "content": "The higher-scoring approach demonstrated superior error resilience by: 1) Proactively validating API response structures through test requests (step 9), 2) Implementing defensive programming with key existence checks (steps 7-8), and 3) Correctly handling pagination with dynamic page indexing. The lower-scoring approach failed due to assumptions about API structure (using 'song_ids' instead of 'id') and missing required pagination handling.", "score": 0, "time_created": "2025-11-04 17:55:46", "time_modified": "2025-11-04 17:55:46", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest.", "when_to_use": "When interacting with paginated APIs or handling nested data structures with potential schema inconsistencies", "category": "comparative", "created_time": "2025-11-04 17:55:46", "modified_time": "2025-11-04 17:55:46", "generalized_query": "Filter and clean user media libraries based on engagement metrics (likes/downloads) while handling API pagination and schema variations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8a233478d5b9451891a49a61300fc9c3", "memory_type": "procedural", "when_to_use": "When submitting code blocks in a multi-step execution environment", "content": "Strictly adhere to formatting requirements by submitting only syntactically valid code blocks without interspersed natural language explanations to prevent syntax errors.", "score": 0, "time_created": "2025-11-04 17:56:00", "time_modified": "2025-11-04 17:56:00", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I need to cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest. An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When submitting code blocks in a multi-step execution environment", "category": "failure", "created_time": "2025-11-04 17:56:00", "modified_time": "2025-11-04 17:56:00", "generalized_query": "Executing multi-step code workflows in restricted environments", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "111222e51f56456cb75c2e8da7bbe67c", "memory_type": "procedural", "when_to_use": "When interacting with file_system APIs that require specific parameter names (e.g., 'directory_path')", "content": "Always verify API parameter names and required fields using `show_api_doc` before execution. Misaligned parameter names (e.g., using `source` instead of `directory_path`) cause 422 validation errors.", "score": 0, "time_created": "2025-11-04 17:56:37", "time_modified": "2025-11-04 17:56:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Compress vacation directories and delete them", "when_to_use": "When interacting with file_system APIs that require specific parameter names (e.g., 'directory_path')", "category": "failure", "created_time": "2025-11-04 17:56:37", "modified_time": "2025-11-04 17:56:37", "generalized_query": "Perform file system operations requiring strict API parameter validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e925d3cf6ea84ad397e69fc56f74b387", "memory_type": "procedural", "when_to_use": "When processing directory structures and extracting nested subdirectory names", "content": "The higher-scoring approach used precise string operations (`replace` and list comprehensions) to extract vacation spot names in 3 steps, while the lower-scoring approach required additional filtering steps and had an initial failure due to incorrect path matching (`~/` vs `/home/jason/`). The higher approach avoided redundant checks by directly addressing the directory structure in the API response.", "score": 0, "time_created": "2025-11-04 17:56:40", "time_modified": "2025-11-04 17:56:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The \"~/photos/\" directory ... sub-directories for each vacation spot.", "when_to_use": "When processing directory structures and extracting nested subdirectory names", "category": "comparative", "created_time": "2025-11-04 17:56:40", "modified_time": "2025-11-04 17:56:40", "generalized_query": "Extract and manipulate nested directory names from a file system API response", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b019fb7b571444bf83f877aa492e3108", "memory_type": "procedural", "when_to_use": "When working with file system APIs to organize and manipulate directories and files", "content": "The higher-scoring approach systematically retrieved only directory entries using `entry_type='directories'` and leveraged precise path manipulation to extract vacation spot names. The lower-scoring approach failed due to improper filtering of directory/file listings, leading to empty results and repeated failed iterations. Proper API parameter usage (e.g., `entry_type`) and structured path parsing were critical for success.", "score": 0, "time_created": "2025-11-04 17:56:22", "time_modified": "2025-11-04 17:56:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The ~/photographs/ directory in my file system has photo files organized in sub-directories for each vacation spot. Compress them and save them in ~/photographs/vacations/<vacation_spot>.zip for each vacation spot, and then delete all vacation spot sub-directories.", "when_to_use": "When working with file system APIs to organize and manipulate directories and files", "category": "comparative", "created_time": "2025-11-04 17:56:22", "modified_time": "2025-11-04 17:56:22", "generalized_query": "Organizing and compressing directory contents while managing file system operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f43d42d6f38e4fe0901cd40535933777", "memory_type": "procedural", "when_to_use": "When handling authentication for API interactions requiring credentials", "content": "The higher-scoring approach correctly included both username and password during login, resolving initial authentication errors. The lower-scoring approach initially omitted the username, causing validation failures. Systematic credential retrieval and immediate token reuse ensured uninterrupted workflow execution.", "score": 0, "time_created": "2025-11-04 17:56:22", "time_modified": "2025-11-04 17:56:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Using these APIs, now generate code to solve the actual task: [file system operations]", "when_to_use": "When handling authentication for API interactions requiring credentials", "category": "comparative", "created_time": "2025-11-04 17:56:22", "modified_time": "2025-11-04 17:56:22", "generalized_query": "Authenticating to a service using stored credentials and maintaining session tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "53c5dec7ef6e412f95be3d023280666c", "memory_type": "procedural", "when_to_use": "When transforming directory structures while preserving content", "content": "Implemented two-phase operation: first compressing directories to preserve contents, then safely deleting originals. This pattern prevents data loss by ensuring compression succeeds before source deletion. Used API calls in sequence: compress_directory() followed by delete_directory() within the same iteration. The decision to separate these operations with clear success verification between steps minimized risk of irreversible data loss.", "score": 0, "time_created": "2025-11-04 17:56:48", "time_modified": "2025-11-04 17:56:48", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The \"~/photographs/\" directory in my file system has photo files organized in sub-directories for each vacation spot. Compress them and save them in \"~/photographs/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories.", "when_to_use": "When transforming directory structures while preserving content", "category": "success", "created_time": "2025-11-04 17:56:48", "modified_time": "2025-11-04 17:56:48", "generalized_query": "Content preservation through compression followed by source directory removal", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fce43ae39691420398c920d29e5561cf", "memory_type": "procedural", "when_to_use": "When interacting with an API that requires precise parameter alignment and directory manipulation (e.g., compressing/deleting directories)", "content": "Success was achieved by: (1) Validating API parameters via `show_api_doc` before execution to avoid errors, (2) Using `directory_path` and `compressed_file_path` parameters as specified in the API, and (3) Leveraging the `delete_directory=True` flag to atomically delete source directories after compression. The initial failure occurred due to mismatched parameter names (`source` vs. `directory_path`), highlighting the critical need to strictly follow API specifications.", "score": 0, "time_created": "2025-11-04 17:56:34", "time_modified": "2025-11-04 17:56:34", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Compress them and save them in \"~/pictures/vacations/<vacation_spot>.zip\" for each vacation spot, and then delete all vacation spot sub-directories", "when_to_use": "When interacting with an API that requires precise parameter alignment and directory manipulation (e.g., compressing/deleting directories)", "category": "success", "created_time": "2025-11-04 17:56:34", "modified_time": "2025-11-04 17:56:34", "generalized_query": "Automate directory compression and deletion using a file system API with specific parameter requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4d82b20dc6be4513ac138ee0debab5d2", "memory_type": "procedural", "when_to_use": "When retrieving credentials for multiple accounts from a supervisor API", "content": "Successfully retrieved file_system password via `supervisor.show_account_passwords()` by filtering account_name. Critical decision point: re-queried passwords after initial failure due to undefined variable, demonstrating resilience to state loss. Best practice: always validate credential retrieval before proceeding with API authentication.", "score": 0, "time_created": "2025-11-04 17:56:34", "time_modified": "2025-11-04 17:56:34", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Using these APIs, now generate code to solve the actual task", "when_to_use": "When retrieving credentials for multiple accounts from a supervisor API", "category": "success", "created_time": "2025-11-04 17:56:34", "modified_time": "2025-11-04 17:56:34", "generalized_query": "Securely access account credentials from a supervisor service for multi-API workflows", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5307ea71970c4d3bb64d6fefc427fc11", "memory_type": "procedural", "when_to_use": "When filtering data based on assumed attributes from an API response", "content": "Always verify the actual fields returned by an API before applying filters or logic dependent on those fields. Assume no additional metadata exists beyond what is documented in the API response schema.", "score": 0, "time_created": "2025-11-04 17:56:54", "time_modified": "2025-11-04 17:56:54", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist.", "when_to_use": "When filtering data based on assumed attributes from an API response", "category": "failure", "created_time": "2025-11-04 17:56:54", "modified_time": "2025-11-04 17:56:54", "generalized_query": "Filtering API results using fields not explicitly present in the response schema", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e7d388b5dc8547b791771bd1bbf8dcbd", "memory_type": "procedural", "when_to_use": "When creating/caching access tokens for multi-step authenticated operations", "content": "Higher-scoring approach re-authenticated after potential token expiration during long-running operations, explicitly passing access_token in all required API calls. Lower-scoring approach failed to maintain valid authentication context for add_song_to_playlist. Key optimization: Implement token refresh/reuse patterns for extended workflows.", "score": 0, "time_created": "2025-11-04 17:56:56", "time_modified": "2025-11-04 17:56:56", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist", "when_to_use": "When creating/caching access tokens for multi-step authenticated operations", "category": "comparative", "created_time": "2025-11-04 17:56:56", "modified_time": "2025-11-04 17:56:56", "generalized_query": "Execute multi-stage authenticated API workflows requiring persistent session management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e19f361bbaaa43d384d5d0d55c1ab613", "memory_type": "procedural", "when_to_use": "When interacting with APIs to perform batch operations like liking songs", "content": "Always verify API availability using `api_docs` before calling endpoints. For batch operations, implement error handling to skip already-processed items instead of failing entirely.", "score": 0, "time_created": "2025-11-04 17:57:37", "time_modified": "2025-11-04 17:57:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs to perform batch operations like liking songs", "category": "failure", "created_time": "2025-11-04 17:57:37", "modified_time": "2025-11-04 17:57:37", "generalized_query": "Perform batch actions on items in a music player queue while handling potential duplicates or errors", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cc486e5a3b774475ab530af218fe5832", "memory_type": "procedural", "when_to_use": "When retrieving user-specific data from paginated APIs", "content": "Always include access tokens in API requests after authentication. Verify pagination parameters (page_index/page_limit) to ensure complete data retrieval.", "score": 0, "time_created": "2025-11-04 17:57:37", "time_modified": "2025-11-04 17:57:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When retrieving user-specific data from paginated APIs", "category": "failure", "created_time": "2025-11-04 17:57:37", "modified_time": "2025-11-04 17:57:37", "generalized_query": "Access paginated resources requiring access tokens after authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "93921bc6b3ee45639bdeb218d2fe7bf1", "memory_type": "procedural", "when_to_use": "When filtering songs by genre and release year requires retrieving additional metadata not present in initial recommendations", "content": "The higher-scoring approach recognized missing metadata (genre/release date) in initial recommendations and implemented a two-step process: (1) first retrieve basic recommendations, then (2) fetch detailed metadata for each song using show_song API. This enabled accurate R&B genre filtering and year-based selection. The lower-scoring approach incorrectly assumed artist names indicated genre and misused album IDs for temporal filtering, resulting in zero valid songs.", "score": 0, "time_created": "2025-11-04 17:57:32", "time_modified": "2025-11-04 17:57:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new 'Spotify R&B Recommendations' playlist", "when_to_use": "When filtering songs by genre and release year requires retrieving additional metadata not present in initial recommendations", "category": "comparative", "created_time": "2025-11-04 17:57:32", "modified_time": "2025-11-04 17:57:32", "generalized_query": "Filter music recommendations by genre and temporal release criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8fc061a367114db196883b3c0f2fd1c1", "memory_type": "procedural", "when_to_use": "When submitting code blocks to the execution environment", "content": "Strictly separate executable code from natural language explanations in code blocks. Any human-readable commentary must be excluded from code submission blocks to avoid syntax errors. Use proper Python syntax for all operations including API calls and data processing.", "score": 0, "time_created": "2025-11-04 17:57:38", "time_modified": "2025-11-04 17:57:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new 'Spotify R&B Recommendations' playlist.", "when_to_use": "When submitting code blocks to the execution environment", "category": "failure", "created_time": "2025-11-04 17:57:38", "modified_time": "2025-11-04 17:57:38", "generalized_query": "Executing multi-step code in constrained environments", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7fb3246e410d4c239a67dc8a0fc3ed5e", "memory_type": "procedural", "when_to_use": "When filtering songs by genre and release year in Spotify", "content": "The higher-scoring approach correctly identified that the `search_songs` API (not `show_recommendations`) provides necessary metadata like `genre` and `release_date`. It validated the API response structure before filtering, while the lower-scoring approach assumed unavailable fields existed in the recommendations endpoint. Using precise query parameters (`genre:r&b year:2023`) and handling pagination ensured complete data retrieval.", "score": 0, "time_created": "2025-11-04 17:57:39", "time_modified": "2025-11-04 17:57:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new 'R&B Recommendation' playlist.", "when_to_use": "When filtering songs by genre and release year in Spotify", "category": "comparative", "created_time": "2025-11-04 17:57:39", "modified_time": "2025-11-04 17:57:39", "generalized_query": "Filter music data by genre and temporal metadata using API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "52fe3f2537234b6491d3a5834edcab8d", "memory_type": "procedural", "when_to_use": "When attempting to use an API method that is not explicitly listed in the API documentation", "content": "Always verify API method existence and parameters via show_api_doc() before attempting to call it. Do not assume APIs exist based on logical inference alone.", "score": 0, "time_created": "2025-11-04 17:57:41", "time_modified": "2025-11-04 17:57:41", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new 'R&B Recommendation' playlist.", "when_to_use": "When attempting to use an API method that is not explicitly listed in the API documentation", "category": "failure", "created_time": "2025-11-04 17:57:41", "modified_time": "2025-11-04 17:57:41", "generalized_query": "Add genre-specific songs from a specific time period to a new playlist in a music streaming service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5d2759c502a947e9891b961268026444", "memory_type": "procedural", "when_to_use": "When handling API operations that may fail due to pre-existing conditions (e.g., duplicate likes) or require conditional filtering", "content": "The higher-scoring approach implemented two critical optimizations: 1) Proactive conflict resolution by checking existing liked songs before attempting new likes, avoiding 422 errors through pre-filtering 2) Robust error handling with try-except blocks to maintain workflow continuity. The lower-scoring approach failed to: 1) Verify existing likes, causing redundant API calls 2) Misinterpret queue state flags (is_current/is_playing) leading to empty results 3) Implement any error recovery mechanism, causing complete task failure on first exception", "score": 0, "time_created": "2025-11-04 17:57:55", "time_modified": "2025-11-04 17:57:55", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When handling API operations that may fail due to pre-existing conditions (e.g., duplicate likes) or require conditional filtering", "category": "comparative", "created_time": "2025-11-04 17:57:55", "modified_time": "2025-11-04 17:57:55", "generalized_query": "Execute batch actions on dynamic datasets with potential pre-existing state conflicts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c31698e0b1664b90aa324034b1218b34", "memory_type": "procedural", "when_to_use": "When working with dynamic data that may change between API calls", "content": "Always re-fetch the latest state of data before performing operations to avoid working with stale information. Use real-time data retrieval rather than relying on cached results from previous API calls.", "score": 0, "time_created": "2025-11-04 17:58:08", "time_modified": "2025-11-04 17:58:08", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When working with dynamic data that may change between API calls", "category": "failure", "created_time": "2025-11-04 17:58:08", "modified_time": "2025-11-04 17:58:08", "generalized_query": "Process a collection of items that may be modified during execution", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bb3d655c814c470ea5590fea44b0b462", "memory_type": "procedural", "when_to_use": "When interacting with APIs that return paginated data or require sequential steps", "content": "The higher-scoring approach systematically validated API endpoints before execution (e.g., checking `show_playlist_library` parameters) and implemented explicit pagination handling. It also separated current song processing from bulk operations, ensuring completeness. The lower-scoring approach failed initially due to incorrect API name assumption (`show_music_player_queue` vs actual `show_song_queue`), requiring backtracking and error correction.", "score": 0, "time_created": "2025-11-04 17:58:41", "time_modified": "2025-11-04 17:58:41", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs that return paginated data or require sequential steps", "category": "comparative", "created_time": "2025-11-04 17:58:41", "modified_time": "2025-11-04 17:58:41", "generalized_query": "Execute multi-step API workflows requiring sequential data retrieval and conditional processing", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "39b7b416b54544718ea360d71b53da3b", "memory_type": "procedural", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "content": "The higher-scoring approach efficiently retrieved all pages of sent payment requests by iterating with `page_index` until no more results were returned. The lower-scoring approach failed to implement proper pagination, leading to incomplete data retrieval and incorrect assumptions about payment requests.", "score": 0, "time_created": "2025-11-04 17:58:36", "time_modified": "2025-11-04 17:58:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving paginated data from an API to ensure completeness", "category": "comparative", "created_time": "2025-11-04 17:58:36", "modified_time": "2025-11-04 17:58:36", "generalized_query": "Retrieve and process paginated transaction data to identify and reverse an accidental payment", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "115e3e7c2a5f4738838003fc63a9b21e", "memory_type": "procedural", "when_to_use": "When securely retrieving account credentials for API authentication", "content": "Use the supervisor app's show_account_passwords method to retrieve stored credentials, then pass them to the target app's login API. This ensures secure credential handling without hardcoding sensitive information.", "score": 0, "time_created": "2025-11-04 17:58:38", "time_modified": "2025-11-04 17:58:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When securely retrieving account credentials for API authentication", "category": "success", "created_time": "2025-11-04 17:58:38", "modified_time": "2025-11-04 17:58:38", "generalized_query": "Authenticate to an app using credentials stored in a supervisor account management system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f427d4a1b0b349d694954b873767bfe9", "memory_type": "procedural", "when_to_use": "When encountering API errors during Venmo transaction creation", "content": "Immediately consult Venmo API specifications for create_transaction to confirm required parameters (e.g., 'receiver_email' vs 'target_user_email'). Use API documentation to verify if phone number-based transactions are supported before implementation.", "score": 0, "time_created": "2025-11-04 17:58:40", "time_modified": "2025-11-04 17:58:40", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Cory was an accident and they approved it. Send them the money back.", "when_to_use": "When encountering API errors during Venmo transaction creation", "category": "failure", "created_time": "2025-11-04 17:58:40", "modified_time": "2025-11-04 17:58:40", "generalized_query": "Troubleshoot failed Venmo API transactions due to invalid parameters or missing recipients", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f67322df90824a9a956e4ff6bf11c7a0", "memory_type": "procedural", "when_to_use": "When retrieving payment requests and needing to handle dynamic user identifiers or API schema discrepancies", "content": "Higher-scoring approach resolved email mismatch by actively searching for 'Robert' via Venmo's search_users API when the initial email failed. They also corrected API schema misunderstanding by switching from 'status' to 'approved_at' field after error. Lower-scoring approach incorrectly used phone app contacts (unrelated API) and maintained invalid 'status' filtering assumption.", "score": 0, "time_created": "2025-11-04 17:58:37", "time_modified": "2025-11-04 17:58:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Robert was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving payment requests and needing to handle dynamic user identifiers or API schema discrepancies", "category": "comparative", "created_time": "2025-11-04 17:58:37", "modified_time": "2025-11-04 17:58:37", "generalized_query": "Refund accidental payment to a user with potentially ambiguous identifier", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4a63c5224eab4ca6b977beffe174446a", "memory_type": "procedural", "when_to_use": "When retrieving user-specific payment details from paginated API responses", "content": "The higher-scoring approach systematically retrieved all approved Venmo payments using pagination (looping through `page_index`), filtered by recipient email, and selected the most recent transaction. This ensured accurate identification of the accidental payment. The lower-scoring approach hardcoded a refund amount and relied on a Venmo user search without verifying payment history, increasing error risk.", "score": 0, "time_created": "2025-11-04 17:59:09", "time_modified": "2025-11-04 17:59:09", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Brandon was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving user-specific payment details from paginated API responses", "category": "comparative", "created_time": "2025-11-04 17:59:09", "modified_time": "2025-11-04 17:59:09", "generalized_query": "Refund a specific accidental payment to a user via a paginated transaction history API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4f4b6f6f8f7a4b57b7b75590c34da9d2", "memory_type": "procedural", "when_to_use": "When retrieving access tokens for API authentication", "content": "Always explicitly store and validate API access tokens immediately after authentication to avoid NameError exceptions when subsequent API calls require them", "score": 0, "time_created": "2025-11-04 17:59:11", "time_modified": "2025-11-04 17:59:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The last Venmo payment request I sent to Brandon was an accident and they approved it. Send them the money back.", "when_to_use": "When retrieving access tokens for API authentication", "category": "failure", "created_time": "2025-11-04 17:59:11", "modified_time": "2025-11-04 17:59:11", "generalized_query": "Returning funds from an accidental payment request to a specific recipient", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "12de2a271450492eb73199b03088b73f", "memory_type": "procedural", "when_to_use": "When encountering authentication failures due to invalid credentials or password reset issues", "content": "Stored credentials may become invalid over time; always validate credentials before critical API calls. When password reset is required, prioritize APIs that allow programmatic code retrieval (if available) instead of manual input. Repeatedly attempting login with invalid credentials wastes resources and risks account lockout.", "score": 0, "time_created": "2025-11-04 17:59:43", "time_modified": "2025-11-04 17:59:43", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When encountering authentication failures due to invalid credentials or password reset issues", "category": "failure", "created_time": "2025-11-04 17:59:43", "modified_time": "2025-11-04 17:59:43", "generalized_query": "Deleting messages from a specific contact requiring app authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c5ce8884fdc2467e84c9b68149be12cd", "memory_type": "procedural", "when_to_use": "When deleting messages from a specific contact across multiple message types", "content": "Implement a two-phase deletion strategy: 1) First paginate through all text messages using search_text_messages() with phone_number filter, collecting IDs. 2) Repeat for voice messages using search_voice_messages(). 3) Execute deletion for each message type in separate loops. This ensures comprehensive coverage while maintaining clear error isolation between message types.", "score": 0, "time_created": "2025-11-04 17:59:44", "time_modified": "2025-11-04 17:59:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When deleting messages from a specific contact across multiple message types", "category": "success", "created_time": "2025-11-04 17:59:44", "modified_time": "2025-11-04 17:59:44", "generalized_query": "Delete all messages (text/voice) from a specific phone number", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "db743a97fe884ee2a4283c3b31629953", "memory_type": "procedural", "when_to_use": "When encountering persistent authentication failures during API login attempts", "content": "Repeated password reset code failures indicate the need to validate the reset flow and ensure code validity before attempting login. Hardcoding guesswork for reset codes leads to cascading failures.", "score": 0, "time_created": "2025-11-04 17:59:39", "time_modified": "2025-11-04 17:59:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When encountering persistent authentication failures during API login attempts", "category": "failure", "created_time": "2025-11-04 17:59:39", "modified_time": "2025-11-04 17:59:39", "generalized_query": "Deleting messages from a specific phone number requires authenticated API access", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4652f181065b4e17a7bf8436db9a980e", "memory_type": "procedural", "when_to_use": "When handling paginated API responses for message deletion", "content": "Always ensure access_token is properly defined and scoped before implementing pagination loops. Missing token definitions cause execution halting errors.", "score": 0, "time_created": "2025-11-04 17:59:39", "time_modified": "2025-11-04 17:59:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When handling paginated API responses for message deletion", "category": "failure", "created_time": "2025-11-04 17:59:39", "modified_time": "2025-11-04 17:59:39", "generalized_query": "Processing paginated results for bulk message deletion operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "27b43762c4374695a7d4404c3ead242e", "memory_type": "procedural", "when_to_use": "When handling authentication failures and paginated data retrieval in API-based tasks", "content": "The higher-scoring approach systematically resolved authentication issues by rechecking API specifications (discovering the username required the phone number, not email), while the lower-scoring approach relied on incorrect assumptions (email as username) and failed to handle pagination for both text and voice messages. The higher approach also explicitly looped through all pages for both message types, ensuring complete deletion, whereas the lower approach attempted to simulate results without valid authentication tokens, leading to partial failure.", "score": 0, "time_created": "2025-11-04 17:59:51", "time_modified": "2025-11-04 17:59:51", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When handling authentication failures and paginated data retrieval in API-based tasks", "category": "comparative", "created_time": "2025-11-04 17:59:51", "modified_time": "2025-11-04 17:59:51", "generalized_query": "Delete all messages (text/voice) from a specified phone number using API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "72f9ce5839494258a32c43a858d5425d", "memory_type": "procedural", "when_to_use": "When handling password reset flows in non-interactive environments", "content": "Design password reset workflows to avoid reliance on manual input functions. Use automated verification mechanisms (e.g., pre-shared codes, API-based token exchange) instead of input() calls which are explicitly disallowed in this environment.", "score": 0, "time_created": "2025-11-04 17:59:53", "time_modified": "2025-11-04 17:59:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When handling password reset flows in non-interactive environments", "category": "failure", "created_time": "2025-11-04 17:59:53", "modified_time": "2025-11-04 17:59:53", "generalized_query": "Reset account passwords programmatically without user input", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "069d679022cb42ac9663442a4d121b16", "memory_type": "procedural", "when_to_use": "When querying music streaming platforms for genre-specific artists with follower thresholds", "content": "Always validate API response structures and data types before filtering. Verify genre query syntax matches platform-specific conventions and ensure numeric comparisons are performed on properly typed values.", "score": 0, "time_created": "2025-11-04 18:00:33", "time_modified": "2025-11-04 18:00:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When querying music streaming platforms for genre-specific artists with follower thresholds", "category": "failure", "created_time": "2025-11-04 18:00:33", "modified_time": "2025-11-04 18:00:33", "generalized_query": "Follow artists on music platforms matching specific genres and minimum follower counts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d20078e6d11b46c9abb8b0c5424c0c7d", "memory_type": "procedural", "when_to_use": "When implementing pagination for API requests", "content": "Implement error handling for empty pages and verify pagination parameters against API documentation constraints. Test with explicit page limits before full execution.", "score": 0, "time_created": "2025-11-04 18:00:33", "time_modified": "2025-11-04 18:00:33", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When implementing pagination for API requests", "category": "failure", "created_time": "2025-11-04 18:00:33", "modified_time": "2025-11-04 18:00:33", "generalized_query": "Retrieve complete dataset from paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f6b285fe06f14233891e126d9b5995ce", "memory_type": "procedural", "when_to_use": "When requiring secure access to user credentials for authentication", "content": "Properly retrieved Spotify password from supervisor.show_account_passwords() using list comprehension to extract the specific account. This demonstrates secure credential handling by: 1) Using platform-provided credential storage 2) Avoiding hardcoding sensitive data 3) Immediately applying credentials to authentication flow", "score": 0, "time_created": "2025-11-04 18:00:37", "time_modified": "2025-11-04 18:00:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers.", "when_to_use": "When requiring secure access to user credentials for authentication", "category": "success", "created_time": "2025-11-04 18:00:37", "modified_time": "2025-11-04 18:00:37", "generalized_query": "Authenticate to music platforms using supervisor-managed credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "335c17476dd14c99b57ff7bb523323fa", "memory_type": "procedural", "when_to_use": "When querying APIs that require precise parameter configuration for filtering (e.g., min_follower_count, genre filters)", "content": "The higher-scoring approach explicitly used the `min_follower_count=22` and `genre='classical'` parameters in the `search_artists` API, ensuring accurate filtering at the API level. The lower-scoring approach relied on post-retrieval filtering (`if artist.get('follower_count', 0) >= 22`), which is less efficient and error-prone due to incomplete data fetching. Additionally, the higher approach correctly used the `genre` parameter instead of embedding genre in the query string (`query='genre:classical'`), aligning with the API's documented parameter structure.", "score": 0, "time_created": "2025-11-04 18:00:13", "time_modified": "2025-11-04 18:00:13", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers", "when_to_use": "When querying APIs that require precise parameter configuration for filtering (e.g., min_follower_count, genre filters)", "category": "comparative", "created_time": "2025-11-04 18:00:13", "modified_time": "2025-11-04 18:00:13", "generalized_query": "Filter and act on entities in a music platform based on genre and popularity metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "99948ec5c92f401f8eafeb4c478cbb69", "memory_type": "procedural", "when_to_use": "When interacting with APIs for file access, authentication, or payment requests", "content": "Always validate API existence and parameters via documentation before execution. Use access tokens for authenticated API calls. Handle file paths dynamically by inspecting directory structures when direct access fails. For payment systems, ensure recipient identifiers (email/ID) align with API requirements.", "score": 0, "time_created": "2025-11-04 18:00:53", "time_modified": "2025-11-04 18:00:53", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I paid for our last month's electricity bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, 'For electricity bill.'. The bill receipt is in my file system.", "when_to_use": "When interacting with APIs for file access, authentication, or payment requests", "category": "failure", "created_time": "2025-11-04 18:00:53", "modified_time": "2025-11-04 18:00:53", "generalized_query": "Accessing files, authenticating accounts, and initiating payment requests across multiple apps", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "15718e6315b64b398d663a7e6d9f9f9b", "memory_type": "procedural", "when_to_use": "When parsing structured data from file contents", "content": "The higher-scoring approach directly parsed the `content` field using string splitting after confirming the file structure, while the lower-scoring approach required multiple directory scans and error-prone assumptions about file naming. Proper use of `show_file` output structure avoided redundant searches.", "score": 0, "time_created": "2025-11-04 18:00:59", "time_modified": "2025-11-04 18:00:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The bill receipt is in my file system.", "when_to_use": "When parsing structured data from file contents", "category": "comparative", "created_time": "2025-11-04 18:00:59", "modified_time": "2025-11-04 18:00:59", "generalized_query": "Extract specific numerical values from semi-structured text files", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "e772328c6d914564850d30ed55704a07", "memory_type": "procedural", "when_to_use": "When performing paginated API searches with specific filters", "content": "The higher-scoring approach explicitly specified both `genre='EDM'` and `min_follower_count=23` parameters in the search_artists API call, ensuring precise filtering. It also implemented robust pagination by incrementing `page_index` until no results remained. The lower-scoring approach omitted the genre parameter, potentially returning irrelevant artists, and used a fixed page limit without verifying completeness. The higher approach's use of `sort_by='+follower_count'` further optimized result ordering for efficiency.", "score": 0, "time_created": "2025-11-04 18:00:45", "time_modified": "2025-11-04 18:00:45", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When performing paginated API searches with specific filters", "category": "comparative", "created_time": "2025-11-04 18:00:45", "modified_time": "2025-11-04 18:00:45", "generalized_query": "Follow artists in a specific genre with minimum follower thresholds using paginated API results", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "251bb6ef7ec64d8ea2b2de107aa361ab", "memory_type": "procedural", "when_to_use": "When authentication is required to access protected APIs and perform user actions", "content": "The agent retrieved the supervisor's Spotify password, authenticated via the `login` API, and reused the access token for subsequent requests. Storing the access token in a variable ensured seamless authentication across multiple API calls.", "score": 0, "time_created": "2025-11-04 18:00:49", "time_modified": "2025-11-04 18:00:49", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers.", "when_to_use": "When authentication is required to access protected APIs and perform user actions", "category": "success", "created_time": "2025-11-04 18:00:49", "modified_time": "2025-11-04 18:00:49", "generalized_query": "Authenticate to a service to execute user actions (e.g., follow, subscribe) via API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "33ebc337231e44a29a8efa77f188c7d5", "memory_type": "procedural", "when_to_use": "When processing API responses that require sequential state verification", "content": "Always verify the pre-condition state (e.g., 'already following') before performing irreversible actions. Implement idempotent checks with retry logic for transient API failures in state verification operations.", "score": 0, "time_created": "2025-11-04 18:01:07", "time_modified": "2025-11-04 18:01:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers", "when_to_use": "When processing API responses that require sequential state verification", "category": "failure", "created_time": "2025-11-04 18:01:07", "modified_time": "2025-11-04 18:01:07", "generalized_query": "Perform conditional actions based on user-state relationships (e.g., following status)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dfb3501f0293445aa62180f4cfc4dea8", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require precise parameter matching, especially when dealing with user identification and payment requests", "content": "The higher-scoring approach demonstrated superior effectiveness by: 1) Correctly identifying and using the 'user_email' parameter in Venmo's create_payment_request API as required by the specification, avoiding validation errors that plagued the lower-scoring attempt. 2) Properly calculating the split amount by including the user in the division (len(roommates)+1), while the lower-scoring approach omitted this critical detail. 3) Implementing robust error handling by first verifying API parameters through documentation review before execution.", "score": 0, "time_created": "2025-11-04 18:01:23", "time_modified": "2025-11-04 18:01:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make venmo requests to my roommates, with a description note, 'internet bill for the last month.'", "when_to_use": "When interacting with APIs that require precise parameter matching, especially when dealing with user identification and payment requests", "category": "comparative", "created_time": "2025-11-04 18:01:23", "modified_time": "2025-11-04 18:01:23", "generalized_query": "Send payment requests via Venmo to specified recipients using their email addresses with accurate amount calculation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "84734d7fd8ae43f7b746691e3583acf3", "memory_type": "procedural", "when_to_use": "When retrieving and processing bill information from file systems with potential naming inconsistencies", "content": "The higher-scoring approach achieved better results by: 1) Systematically searching for the most recent bill file using timestamp-based filtering rather than relying on hardcoded filenames. 2) Implementing proper file existence checks and directory traversal logic to handle potential naming variations. 3) Using precise string parsing to extract the total amount value, whereas the lower-scoring approach made multiple failed attempts with hardcoded file paths before succeeding.", "score": 0, "time_created": "2025-11-04 18:01:23", "time_modified": "2025-11-04 18:01:23", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "The bill receipt is in my file system", "when_to_use": "When retrieving and processing bill information from file systems with potential naming inconsistencies", "category": "comparative", "created_time": "2025-11-04 18:01:23", "modified_time": "2025-11-04 18:01:23", "generalized_query": "Extract numerical values from structured text documents stored in hierarchical file systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "c023ca5c45fc4bc78ed3c1468805b1dc", "memory_type": "procedural", "when_to_use": "When authenticating to apps with supervisor credentials", "content": "Use supervisor.show_account_passwords() to retrieve valid credentials instead of hardcoding or guessing passwords. The initial failure to login to file_system was resolved by properly retrieving the password from supervisor instead of using outdated dummy credentials.", "score": 0, "time_created": "2025-11-04 18:01:32", "time_modified": "2025-11-04 18:01:32", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am your supervisor and you are a super intelligent AI Assistant...", "when_to_use": "When authenticating to apps with supervisor credentials", "category": "failure", "created_time": "2025-11-04 18:01:32", "modified_time": "2025-11-04 18:01:32", "generalized_query": "Accessing account credentials for API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6e32c04e1ff843b8885e4363f7e7f5ab", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require precise parameter usage and error handling", "content": "The higher-scoring approach systematically validated API specifications before execution, adjusted parameters based on error responses (e.g., switching from 'recipient_email' to 'user_email' in Venmo payment requests), and leveraged file system directory traversal to locate resources. This contrasts with the lower-scoring approach's repeated assumption-based API calls that failed due to incorrect parameters and unverified endpoint capabilities.", "score": 0, "time_created": "2025-11-04 18:01:39", "time_modified": "2025-11-04 18:01:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Make venmo requests to my roommates, with a description note, 'I paid for cable bill.'", "when_to_use": "When interacting with APIs that require precise parameter usage and error handling", "category": "comparative", "created_time": "2025-11-04 18:01:39", "modified_time": "2025-11-04 18:01:39", "generalized_query": "Execute multi-step API workflows requiring dynamic parameter adjustment and error resolution", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d0f19589389d492d955e08bd25c7c72b", "memory_type": "procedural", "when_to_use": "When searching for contacts with specific relationships", "content": "Avoid assuming field names like 'note' or 'relationship' exist in contact data. First inspect the actual API response structure to determine available fields. Use available phone app APIs like search_contacts with appropriate query parameters and validate field existence before filtering.", "score": 0, "time_created": "2025-11-04 18:01:44", "time_modified": "2025-11-04 18:01:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Search for Jennifer's roommates in her phone contacts", "when_to_use": "When searching for contacts with specific relationships", "category": "failure", "created_time": "2025-11-04 18:01:44", "modified_time": "2025-11-04 18:01:44", "generalized_query": "Identifying contacts with specific relationship labels in phone apps", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0c0643a39fe04cc2ae3af88b8ef6451d", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requiring authentication tokens", "content": "Successfully authenticate using supervisor.show_account_passwords() to retrieve credentials, then use the login API to obtain an access token. Include this token in all subsequent API requests (e.g., search_notes, show_note, update_note) to maintain authorization. This pattern ensures continuous access while working with protected endpoints.", "score": 0, "time_created": "2025-11-04 18:02:11", "time_modified": "2025-11-04 18:02:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done.", "when_to_use": "When accessing protected APIs requiring authentication tokens", "category": "success", "created_time": "2025-11-04 18:02:11", "modified_time": "2025-11-04 18:02:11", "generalized_query": "Modify content in a note stored in a password-protected note-taking app", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0a91693b216742b1b21853205a70e388", "memory_type": "procedural", "when_to_use": "When authenticating to an app requires retrieving credentials from a supervisor account and handling API pagination", "content": "The higher-scoring approach systematically retrieved credentials via the supervisor API, authenticated correctly using the phone number as username, and implemented robust pagination to fetch all alarms. The lower-scoring approach failed due to incorrect login credentials (using email instead of phone number), repeated failed authentication attempts, and inability to handle API rate limiting or pagination properly.", "score": 0, "time_created": "2025-11-04 18:02:39", "time_modified": "2025-11-04 18:02:39", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest.", "when_to_use": "When authenticating to an app requires retrieving credentials from a supervisor account and handling API pagination", "category": "comparative", "created_time": "2025-11-04 18:02:39", "modified_time": "2025-11-04 18:02:39", "generalized_query": "Modify specific alarms in a user's alarm system while managing authentication and data retrieval", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "2776a65ce8314198bbefda96dd5d3c03", "memory_type": "procedural", "when_to_use": "When searching for notes with specific content or tags in Simple Note API", "content": "When notes are not found via title search, prioritize checking tags, content, or creating the note if it doesn't exist. Always validate API limitations (e.g., search_notes may not return content-matching notes unless explicitly designed to do so).", "score": 0, "time_created": "2025-11-04 18:02:01", "time_modified": "2025-11-04 18:02:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done.", "when_to_use": "When searching for notes with specific content or tags in Simple Note API", "category": "failure", "created_time": "2025-11-04 18:02:01", "modified_time": "2025-11-04 18:02:01", "generalized_query": "Update a note in a note-taking app based on partial content or tags when exact title search fails", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bfe3fa4d62f3467cbbc5466a990afd45", "memory_type": "procedural", "when_to_use": "When handling authentication for APIs requiring access tokens", "content": "Always include access_token in API calls after authentication. Store and reuse tokens instead of hardcoding them, and handle token expiration/renewal workflows explicitly.", "score": 0, "time_created": "2025-11-04 18:02:01", "time_modified": "2025-11-04 18:02:01", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done.", "when_to_use": "When handling authentication for APIs requiring access tokens", "category": "failure", "created_time": "2025-11-04 18:02:01", "modified_time": "2025-11-04 18:02:01", "generalized_query": "Ensure valid access tokens are used for API requests requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "bb8f03c4092a4ef7b15e3766ad621334", "memory_type": "procedural", "when_to_use": "When updating specific content within a note that requires partial modification (e.g., marking a checklist item as done)", "content": "The higher-scoring approach efficiently located the correct note by using a precise title filter and retrieved the full note content to perform a targeted string replacement. This ensured minimal disruption to existing data. In contrast, the lower-scoring approach initially searched for the wrong title, risked infinite loops, and attempted to overwrite content entirely, which could corrupt the note's structure. The higher approach also validated the note's content format before modification, ensuring accuracy.", "score": 0, "time_created": "2025-11-04 18:02:35", "time_modified": "2025-11-04 18:02:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Witnessing a total solar eclipse\" in my Bucket List Simple Note as done.", "when_to_use": "When updating specific content within a note that requires partial modification (e.g., marking a checklist item as done)", "category": "comparative", "created_time": "2025-11-04 18:02:35", "modified_time": "2025-11-04 18:02:35", "generalized_query": "Update a specific entry in a structured note (e.g., checklist) without overwriting the entire content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "cdeb3a945c62429fa9fab3951568f57b", "memory_type": "procedural", "when_to_use": "When paginating through API results to avoid infinite loops or excessive requests", "content": "The higher-scoring approach used a fixed page_index loop with a hard-coded upper bound (page_index < 10), ensuring predictable execution. The lower-scoring approach initially lacked a page limit, causing an infinite loop error. Even after adding a max_pages limit, it required multiple retries and debug steps, wasting resources. The higher approach's conservative pagination strategy minimized API calls while guaranteeing completion.", "score": 0, "time_created": "2025-11-04 18:02:35", "time_modified": "2025-11-04 18:02:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Mark \"Witnessing a total solar eclipse\" in my Bucket List Simple Note as done.", "when_to_use": "When paginating through API results to avoid infinite loops or excessive requests", "category": "comparative", "created_time": "2025-11-04 18:02:35", "modified_time": "2025-11-04 18:02:35", "generalized_query": "Retrieve paginated data with a safe termination condition to prevent resource exhaustion", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "61d1290f0dd04b5dbb73a6b47eec0a15", "memory_type": "procedural", "when_to_use": "When encountering authentication failures due to incorrect credentials", "content": "The higher-scoring approach successfully resolved login failure by switching from email to phone number as the username after verifying password list contents. It systematically validated credentials via `show_account_passwords`, adapted login parameters, and implemented robust error handling. The lower-scoring approach repeatedly attempted failed login with email without adapting, leading to redundant errors and task stagnation.", "score": 0, "time_created": "2025-11-04 18:03:11", "time_modified": "2025-11-04 18:03:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When encountering authentication failures due to incorrect credentials", "category": "comparative", "created_time": "2025-11-04 18:03:11", "modified_time": "2025-11-04 18:03:11", "generalized_query": "Adjust specific alarms and disable others using app credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "67c02392a5564b0a8152efc1cfb7c169", "memory_type": "procedural", "when_to_use": "When managing paginated API responses for comprehensive data retrieval", "content": "The higher-scoring approach implemented a robust pagination loop with dynamic page indexing to ensure complete alarm retrieval, while the lower-scoring sequence would have risked incomplete data processing. The successful implementation demonstrated proactive handling of API pagination constraints through iterative page requests until exhaustion.", "score": 0, "time_created": "2025-11-04 18:03:11", "time_modified": "2025-11-04 18:03:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest.", "when_to_use": "When managing paginated API responses for comprehensive data retrieval", "category": "comparative", "created_time": "2025-11-04 18:03:11", "modified_time": "2025-11-04 18:03:11", "generalized_query": "Process paginated alarm data for modification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "8f7bfc1a8dac483ab58ae40d711f9aee", "memory_type": "procedural", "when_to_use": "When authenticating to an app with specific credential requirements", "content": "The higher-scoring approach successfully authenticated using the correct phone number as username (not email) and retrieved credentials via the supervisor API, avoiding repeated failed login attempts. The lower-scoring approach wasted iterations with invalid email-based login and manual password reset attempts that never resolved authentication issues. Proper credential sourcing from the supervisor app and immediate use of valid credentials enabled single successful login in the higher approach.", "score": 0, "time_created": "2025-11-04 18:03:28", "time_modified": "2025-11-04 18:03:28", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When authenticating to an app with specific credential requirements", "category": "comparative", "created_time": "2025-11-04 18:03:28", "modified_time": "2025-11-04 18:03:28", "generalized_query": "Modify specific alarms in a user's alarm system while maintaining authentication integrity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b17c0ba6df5e406182df51f8f7a6281f", "memory_type": "procedural", "when_to_use": "When accessing protected API endpoints", "content": "Always implement token refresh logic before making paginated requests. 401 errors during pagination indicate expired/invalid access tokens that require re-authentication before retrying.", "score": 0, "time_created": "2025-11-04 18:03:38", "time_modified": "2025-11-04 18:03:38", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When accessing protected API endpoints", "category": "failure", "created_time": "2025-11-04 18:03:38", "modified_time": "2025-11-04 18:03:38", "generalized_query": "Paginated API access requiring authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "76f45a8df5d54e26b10455d56d6db822", "memory_type": "procedural", "when_to_use": "When modifying alarms or other time-sensitive settings with dependencies", "content": "Always verify existing alarm states before applying changes to avoid redundant operations and unintended side effects. Explicitly validate labels are unique before using `next()` to prevent partial failures with duplicate entries.", "score": 0, "time_created": "2025-11-04 18:03:35", "time_modified": "2025-11-04 18:03:35", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "I am going on a vacation. Move my go-to-sleep phone alarm to 20 minutes later and disable the rest.", "when_to_use": "When modifying alarms or other time-sensitive settings with dependencies", "category": "failure", "created_time": "2025-11-04 18:03:35", "modified_time": "2025-11-04 18:03:35", "generalized_query": "Adjust specific recurring alarms while modifying/enabling/disabling related alarms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "69fdaa8ebbe9410e9ec8f7618e4ceb49", "memory_type": "procedural", "when_to_use": "When calculating playlist durations based on song IDs", "content": "Failed to properly retrieve and aggregate song durations from Spotify API. Song IDs must be individually queried to extract duration values rather than assuming numerical IDs represent durations.", "score": 0, "time_created": "2025-11-04 18:03:36", "time_modified": "2025-11-04 18:03:36", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating playlist durations based on song IDs", "category": "failure", "created_time": "2025-11-04 18:03:36", "modified_time": "2025-11-04 18:03:36", "generalized_query": "Determine the minimum playlist duration across all user playlists using song metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a930558deff44a73b3d64c3caea38e2e", "memory_type": "procedural", "when_to_use": "When calculating playlist duration requires precise song lengths rather than assumptions", "content": "The higher-scoring approach retrieved actual song durations via the `show_song` API instead of using an arbitrary 3-minute average. This ensured precise calculation by leveraging granular metadata rather than making assumptions about variable-length content.", "score": 0, "time_created": "2025-11-04 18:03:29", "time_modified": "2025-11-04 18:03:29", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating playlist duration requires precise song lengths rather than assumptions", "category": "comparative", "created_time": "2025-11-04 18:03:29", "modified_time": "2025-11-04 18:03:29", "generalized_query": "Calculating media content duration from itemized metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "979519a73bc642e094be952be05d53eb", "memory_type": "procedural", "when_to_use": "When retrieving paginated API results", "content": "Incomplete pagination handling risks missing data. Always verify if API responses indicate additional pages exist (e.g., through next_page tokens or consistent result sizes).", "score": 0, "time_created": "2025-11-04 18:03:44", "time_modified": "2025-11-04 18:03:44", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When retrieving paginated API results", "category": "failure", "created_time": "2025-11-04 18:03:44", "modified_time": "2025-11-04 18:03:44", "generalized_query": "Handling paginated API responses for complete dataset retrieval", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "6303d922cf1c493e900a2589ef351f52", "memory_type": "procedural", "when_to_use": "When calculating media collection metrics requiring granular item data (e.g., total duration of playlists, libraries, or queues)", "content": "Successfully calculated maximum playlist duration by: (1) Authenticating via supervisor app credentials (2) Paginating through playlist_library API to collect all playlists (3) For each playlist, fetching show_playlist details (4) For each song in playlist, calling show_song API to get precise duration_seconds (5) Summing durations and converting to minutes. Critical success factor was replacing assumed 3-minute song lengths with actual API-provided durations after discovering 'duration' field in show_song response schema.", "score": 0, "time_created": "2025-11-04 18:04:07", "time_modified": "2025-11-04 18:04:07", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating media collection metrics requiring granular item data (e.g., total duration of playlists, libraries, or queues)", "category": "success", "created_time": "2025-11-04 18:04:07", "modified_time": "2025-11-04 18:04:07", "generalized_query": "Calculate aggregate media duration across paginated API results with per-item metadata lookups", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0fc268a73f664fa3be98f482b288d142", "memory_type": "procedural", "when_to_use": "When calling specific resource-detail APIs for metadata retrieval", "content": "Cross-reference API documentation to confirm available endpoints before implementation to avoid invalid API calls", "score": 0, "time_created": "2025-11-04 18:04:11", "time_modified": "2025-11-04 18:04:11", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calling specific resource-detail APIs for metadata retrieval", "category": "failure", "created_time": "2025-11-04 18:04:11", "modified_time": "2025-11-04 18:04:11", "generalized_query": "Retrieve detailed metadata about individual media items from streaming platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3915157c28794ae0b3da7ed6de42a1d1", "memory_type": "procedural", "when_to_use": "When retrieving song/album IDs from dictionaries with mismatched key-value structures", "content": "Always validate dictionary key-value relationships before accessing elements. When mapping titles to IDs, explicitly create cross-reference structures instead of assuming direct ID-to-title mappings", "score": 0, "time_created": "2025-11-04 18:04:21", "time_modified": "2025-11-04 18:04:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When retrieving song/album IDs from dictionaries with mismatched key-value structures", "category": "failure", "created_time": "2025-11-04 18:04:21", "modified_time": "2025-11-04 18:04:21", "generalized_query": "Retrieve specific media item ID from a dictionary with title-based keys when needing numeric ID", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "3a29b4c15d8a4698be1bedd2f809b689", "memory_type": "procedural", "when_to_use": "When handling paginated API responses or multi-step data transformations", "content": "Implement intermediate validation checkpoints after each data transformation step. Print/inspect intermediate data structures to confirm expected formats before proceeding", "score": 0, "time_created": "2025-11-04 18:04:21", "time_modified": "2025-11-04 18:04:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When handling paginated API responses or multi-step data transformations", "category": "failure", "created_time": "2025-11-04 18:04:21", "modified_time": "2025-11-04 18:04:21", "generalized_query": "Process nested API responses requiring multiple transformation steps", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "64e7e6b1694349d4888506177b1be000", "memory_type": "procedural", "when_to_use": "When retrieving song/playlist metadata or interaction metrics", "content": "Always verify API existence and parameters via show_api_docs before implementation. When metrics like play count aren't directly available, use existing relational data (like song IDs from playlist details) with appropriate private metadata endpoints.", "score": 0, "time_created": "2025-11-04 18:04:25", "time_modified": "2025-11-04 18:04:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist.", "when_to_use": "When retrieving song/playlist metadata or interaction metrics", "category": "failure", "created_time": "2025-11-04 18:04:25", "modified_time": "2025-11-04 18:04:25", "generalized_query": "Identify and play the most popular item in a specific music streaming service playlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f8ffe6c05e71445ab801c82e94fe2b0a", "memory_type": "procedural", "when_to_use": "When handling API parameter requirements", "content": "Never assume parameter types - explicitly validate required parameter formats (integer vs string) through API documentation before implementation. Use existing ID fields from prior API responses rather than attempting title-based lookups when IDs are already available.", "score": 0, "time_created": "2025-11-04 18:04:25", "time_modified": "2025-11-04 18:04:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist.", "when_to_use": "When handling API parameter requirements", "category": "failure", "created_time": "2025-11-04 18:04:25", "modified_time": "2025-11-04 18:04:25", "generalized_query": "Execute API calls requiring numeric identifiers instead of textual references", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "d3ca744ff9ff4c29abde73ea3884abc7", "memory_type": "procedural", "when_to_use": "When accessing private user data via APIs requiring authentication tokens", "content": "Always validate and explicitly pass access tokens for authenticated API calls, even after initial login. Verify API endpoint behavior with test data to ensure expected output before relying on it for critical decisions.", "score": 0, "time_created": "2025-11-04 18:04:37", "time_modified": "2025-11-04 18:04:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When accessing private user data via APIs requiring authentication tokens", "category": "failure", "created_time": "2025-11-04 18:04:37", "modified_time": "2025-11-04 18:04:37", "generalized_query": "Retrieve user-specific metrics (e.g., listen counts) from a music streaming platform's private API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "7fc7540978fe415a95469637089237a6", "memory_type": "procedural", "when_to_use": "When filtering results based on specific dataset properties", "content": "Implement explicit data validation checks for edge cases (e.g., zero values) and ensure metadata cross-referencing logic correctly maps relationships between nested data structures.", "score": 0, "time_created": "2025-11-04 18:04:37", "time_modified": "2025-11-04 18:04:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When filtering results based on specific dataset properties", "category": "failure", "created_time": "2025-11-04 18:04:37", "modified_time": "2025-11-04 18:04:37", "generalized_query": "Select items from a subset of data requiring cross-referenced metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "fdc05bb3f844464887797fbc8b1aed39", "memory_type": "procedural", "when_to_use": "When handling financial transaction approvals that require balance verification", "content": "The higher-scoring approach proactively checked Venmo balance against total pending amounts before approval, preventing failed transactions. The lower-scoring approach attempted approvals without balance validation, leading to execution failure. The higher approach demonstrated better risk management by: 1) Implementing pagination for complete request retrieval 2) Adding financial feasibility checks 3) Gracefully handling insufficient funds scenarios", "score": 0, "time_created": "2025-11-04 18:05:02", "time_modified": "2025-11-04 18:05:02", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers.", "when_to_use": "When handling financial transaction approvals that require balance verification", "category": "comparative", "created_time": "2025-11-04 18:05:02", "modified_time": "2025-11-04 18:05:02", "generalized_query": "Approve pending payment requests with account balance constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1991dba0c9c04ede9cfe43c4ad64146a", "memory_type": "procedural", "when_to_use": "When retrieving account credentials from the supervisor app for API authentication", "content": "Always filter credentials by account_name when using supervisor.show_account_passwords() rather than assuming positional indexing. Use list comprehensions or explicit filtering to ensure correct credential retrieval.", "score": 0, "time_created": "2025-11-04 18:05:20", "time_modified": "2025-11-04 18:05:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When retrieving account credentials from the supervisor app for API authentication", "category": "failure", "created_time": "2025-11-04 18:05:20", "modified_time": "2025-11-04 18:05:20", "generalized_query": "Authenticating to a service using account credentials stored in the supervisor app", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "70c2ecfd33294d23b1cb4f86cc81dfe7", "memory_type": "procedural", "when_to_use": "When handling paginated API responses for bulk operations", "content": "Implement page_index incrementing loops with empty-result termination checks to handle paginated data completely. Always validate API responses contain data before extending result lists.", "score": 0, "time_created": "2025-11-04 18:05:20", "time_modified": "2025-11-04 18:05:20", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends.", "when_to_use": "When handling paginated API responses for bulk operations", "category": "failure", "created_time": "2025-11-04 18:05:20", "modified_time": "2025-11-04 18:05:20", "generalized_query": "Processing paginated results from an API endpoint", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "9739ea14422f44748e136c27d75d784b", "memory_type": "procedural", "when_to_use": "When searching for an artist's most played song on Spotify and the API supports sorting by play count", "content": "The successful approach combined two key elements: (1) Using the 'search_songs' API with the artist name as query parameter, and (2) leveraging the 'sort_by' parameter with '-play_count' to prioritize results by play frequency. This pattern ensures the first result in the response is the most played song, avoiding manual sorting of results. The negative sign in '-play_count' specifies descending order sorting, which is critical for surface-level access to top-played content.", "score": 0, "time_created": "2025-11-04 18:05:22", "time_modified": "2025-11-04 18:05:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When searching for an artist's most played song on Spotify and the API supports sorting by play count", "category": "success", "created_time": "2025-11-04 18:05:22", "modified_time": "2025-11-04 18:05:22", "generalized_query": "Find the most played song by a specific artist on Spotify using API search capabilities", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "1ddb8099ebb24395891323b9f06aeaab", "memory_type": "procedural", "when_to_use": "When needing to authenticate and access user-specific data across APIs", "content": "The sequence demonstrated secure credential handling through the supervisor API's 'show_account_passwords' method, followed by immediate token storage. This pattern prevents credential exposure by: (1) Using scoped password retrieval, (2) Immediately discarding raw credentials after authentication, and (3) Reusing the access_token variable across subsequent API calls. This approach balances security with operational efficiency for authenticated API workflows.", "score": 0, "time_created": "2025-11-04 18:05:22", "time_modified": "2025-11-04 18:05:22", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When needing to authenticate and access user-specific data across APIs", "category": "success", "created_time": "2025-11-04 18:05:22", "modified_time": "2025-11-04 18:05:22", "generalized_query": "Access music platform data requiring authentication while managing credentials securely", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5cfbe442b7854ab5a1344ebfb3a30006", "memory_type": "procedural", "when_to_use": "When handling paginated API requests with short-lived access tokens", "content": "The higher-scoring approach prioritized immediate action after authentication to minimize token expiration risks. It efficiently looped through all pages of pending requests using a while-loop with page_index increment, and systematically denied each request in a single pass. The lower-scoring approach repeatedly re-attempted authentication and failed to maintain valid tokens due to syntax errors and lack of structured pagination handling. The higher-scoring sequence also avoided redundant code by storing results in variables for subsequent steps.", "score": 0, "time_created": "2025-11-04 18:05:06", "time_modified": "2025-11-04 18:05:06", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When handling paginated API requests with short-lived access tokens", "category": "comparative", "created_time": "2025-11-04 18:05:06", "modified_time": "2025-11-04 18:05:06", "generalized_query": "Process and resolve multiple paginated API requests requiring authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "0d97bbe600614441b03b175c1f6b1d78", "memory_type": "procedural", "when_to_use": "When performing irreversible operations on multiple items", "content": "Implement confirmation checks for each item before execution, especially when handling sensitive financial operations. Add dry-run capability to preview changes before committing.", "score": 0, "time_created": "2025-11-04 18:05:37", "time_modified": "2025-11-04 18:05:37", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When performing irreversible operations on multiple items", "category": "failure", "created_time": "2025-11-04 18:05:37", "modified_time": "2025-11-04 18:05:37", "generalized_query": "Bulk denial/approval of transaction requests", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f389577d64c440e7950caff9fcca12f4", "memory_type": "procedural", "when_to_use": "When retrieving user-specific data requiring precise filtering (e.g., songs by a specific artist)", "content": "The higher-scoring approach systematically validated artist identity via `search_artists` to obtain the precise `artist_id` before querying songs, ensuring accurate filtering. It also implemented pagination loops to exhaustively collect all songs, while the lower-scoring approach relied on ambiguous query syntax without verifying artist uniqueness or retrieving all pages, risking incomplete/inaccurate results.", "score": 0, "time_created": "2025-11-04 18:05:59", "time_modified": "2025-11-04 18:05:59", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When retrieving user-specific data requiring precise filtering (e.g., songs by a specific artist)", "category": "comparative", "created_time": "2025-11-04 18:05:59", "modified_time": "2025-11-04 18:05:59", "generalized_query": "Identify the least played media item by a specific creator from a user's library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "5a8b2b8f80c34f268b9d535190230663", "memory_type": "procedural", "when_to_use": "When accessing another person's data via third-party APIs", "content": "Never assume cross-account data accessibility without explicit API permissions. Always verify API scope and authentication boundaries before attempting to access another user's private data", "score": 0, "time_created": "2025-11-04 18:06:15", "time_modified": "2025-11-04 18:06:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When accessing another person's data via third-party APIs", "category": "failure", "created_time": "2025-11-04 18:06:15", "modified_time": "2025-11-04 18:06:15", "generalized_query": "Retrieving personal music consumption data from a third party's account", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "a29e463876aa440897ac643aaab73948", "memory_type": "procedural", "when_to_use": "When interpreting 'most played' metrics from music platforms", "content": "Always validate if the API endpoint provides actual play count data or only like/playlist metadata. Use the appropriate endpoints (e.g., show_liked_songs vs. show_song_library) based on what metrics are available", "score": 0, "time_created": "2025-11-04 18:06:15", "time_modified": "2025-11-04 18:06:15", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When interpreting 'most played' metrics from music platforms", "category": "failure", "created_time": "2025-11-04 18:06:15", "modified_time": "2025-11-04 18:06:15", "generalized_query": "Extracting consumption analytics from music streaming services", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "025cf4813c1e46668426c8c3c27aa535", "memory_type": "procedural", "when_to_use": "When filtering multi-artist tracks to isolate specific contributor's works", "content": "Used nested list comprehension to filter search results by exact artist name in artist array. This ensures accuracy when tracks may contain multiple artists, preventing misattribution to similarly named artists or featured collaborators.", "score": 0, "time_created": "2025-11-04 18:06:21", "time_modified": "2025-11-04 18:06:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When filtering multi-artist tracks to isolate specific contributor's works", "category": "success", "created_time": "2025-11-04 18:06:21", "modified_time": "2025-11-04 18:06:21", "generalized_query": "Isolate media items where specific creator is primary contributor", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "b333905519d2440aad10e1866d56e3a5", "memory_type": "procedural", "when_to_use": "When retrieving maximum value items from paginated API responses", "content": "Set page_limit to maximum allowed value (20) to minimize API calls while ensuring comprehensive dataset coverage. Combined with immediate metric-based sorting, this reduces computational overhead compared to multiple round-trip requests.", "score": 0, "time_created": "2025-11-04 18:06:21", "time_modified": "2025-11-04 18:06:21", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify?", "when_to_use": "When retrieving maximum value items from paginated API responses", "category": "success", "created_time": "2025-11-04 18:06:21", "modified_time": "2025-11-04 18:06:21", "generalized_query": "Extract extreme value items (max/min) from API-paginated datasets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "4aa4a401f14b4f0bb6e86e47bb44ad39", "memory_type": "procedural", "when_to_use": "When needing to follow artists based on user-liked songs in Spotify, especially when dealing with paginated API responses and nested data structures", "content": "The successful approach involved: 1) Pagination handling for both liked songs and following artists lists 2) Structural inspection of API responses to correctly extract artist IDs (noting initial KeyError when assuming 'artist_id' vs actual 'artists[0][id]' structure) 3) Set-based comparison to identify new follows 4) Batch processing of follow actions after full data collection. Critical decision points included verifying API response structures after errors and using set operations for efficient comparison.", "score": 0, "time_created": "2025-11-04 18:06:26", "time_modified": "2025-11-04 18:06:26", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When needing to follow artists based on user-liked songs in Spotify, especially when dealing with paginated API responses and nested data structures", "category": "success", "created_time": "2025-11-04 18:06:26", "modified_time": "2025-11-04 18:06:26", "generalized_query": "Follow entities (artists, creators) based on user-liked content in a music streaming platform using paginated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "dbf16703662e4ab4b41058705d54262e", "memory_type": "procedural", "when_to_use": "When extracting nested data from API responses with unexpected structures", "content": "Always verify API response structure before accessing nested fields - use explicit key checks and data traversal. When working with paginated results, ensure you're correctly parsing the actual data fields returned by the API rather than assuming field names or nesting levels.", "score": 0, "time_created": "2025-11-04 18:06:25", "time_modified": "2025-11-04 18:06:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When extracting nested data from API responses with unexpected structures", "category": "failure", "created_time": "2025-11-04 18:06:25", "modified_time": "2025-11-04 18:06:25", "generalized_query": "Identify and process artist-song relationships from music streaming platform APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "20d9fb7a42074f27940acb19e3560d30", "memory_type": "procedural", "when_to_use": "When performing set operations on user relationships and preferences", "content": "Use set operations for efficient comparison of large datasets (e.g., following vs. liked content creators). Always convert API response data into appropriate data structures (sets/dictionaries) before performing these operations to ensure O(1) lookup times.", "score": 0, "time_created": "2025-11-04 18:06:25", "time_modified": "2025-11-04 18:06:25", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify.", "when_to_use": "When performing set operations on user relationships and preferences", "category": "failure", "created_time": "2025-11-04 18:06:25", "modified_time": "2025-11-04 18:06:25", "generalized_query": "Determine differences between user followings and engagement history in social platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "02d08321c66542c9ac6309c0dd36e22f", "memory_type": "procedural", "when_to_use": "When dealing with paginated APIs and needing to avoid redundant actions", "content": "The higher-scoring approach efficiently handled pagination for both liked songs and followed artists, while also checking existing followed artists to avoid duplicates. The lower-scoring approach failed initially due to incorrect API usage (non-existent 'show_artists') and later used inefficient individual 'show_artist' calls instead of batch processing. The higher approach's use of 'show_following_artists' with pagination and set-based comparison reduced API calls and ensured completeness.", "score": 0, "time_created": "2025-11-04 18:07:03", "time_modified": "2025-11-04 18:07:03", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When dealing with paginated APIs and needing to avoid redundant actions", "category": "comparative", "created_time": "2025-11-04 18:07:03", "modified_time": "2025-11-04 18:07:03", "generalized_query": "Automate following entities based on user preferences requiring multi-step API interactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_32b", "memory_id": "f2c0427ba4714559a23f532db622f379", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require processing multiple items and no bulk API exists", "content": "When an API does not provide a bulk operation for a collection of items, iterate through each item individually using the available single-item API endpoint. Always verify API specifications before assuming bulk capabilities exist.", "score": 0, "time_created": "2025-11-04 18:07:04", "time_modified": "2025-11-04 18:07:04", "author": "qwen3-32b", "metadata": {"author": "qwen3-32b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When interacting with APIs that require processing multiple items and no bulk API exists", "category": "failure", "created_time": "2025-11-04 18:07:04", "modified_time": "2025-11-04 18:07:04", "generalized_query": "Process multiple entities (e.g., artists, songs) via an API when only individual operations are available", "utility": 0, "freq": 0}}
|
||||
|
|
@ -1,207 +0,0 @@
|
|||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2de0b70ef0534b2ab26995db825b13f0", "memory_type": "procedural", "when_to_use": "When automating song rating updates in Spotify", "content": "The higher-scoring approach succeeded by using the correct 'review_song' API endpoint and properly handling authentication with an access token. It also checked for existing reviews by verifying the user's email, ensuring no duplicate ratings. The lower-scoring approach failed due to reliance on non-existent APIs like 'get_song_rating' and persistent authorization issues from invalid tokens.", "score": 0, "time_created": "2025-11-08 20:17:29", "time_modified": "2025-11-08 20:17:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When automating song rating updates in Spotify", "category": "comparative", "created_time": "2025-11-08 20:17:29", "modified_time": "2025-11-08 20:17:29", "generalized_query": "Automate rating updates for liked songs across playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ce2afda727db46238cfd4f06ebeb6c77", "memory_type": "procedural", "when_to_use": "When handling authentication tokens, ensure they remain valid and have appropriate scopes for requested operations.", "content": "Implement token refresh mechanisms and validate token scope/permissions before making API calls to prevent authorization errors.", "score": 0, "time_created": "2025-11-08 20:17:30", "time_modified": "2025-11-08 20:17:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 5-star rating to all songs in my Spotify playlists which I have liked. If I have already rated it lower, increase it to 5.", "when_to_use": "When handling authentication tokens, ensure they remain valid and have appropriate scopes for requested operations.", "category": "failure", "created_time": "2025-11-08 20:17:30", "modified_time": "2025-11-08 20:17:30", "generalized_query": "Perform authenticated operations on a music service requiring valid access tokens.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "531e4ad3dfee4f21857125bf1f92b968", "memory_type": "procedural", "when_to_use": "When retrieving data from an API that requires authentication and password management", "content": "Successfully retrieved Spotify data by first obtaining credentials through supervisor API, then iteratively fetching playlists and songs while validating API response structures. Key steps included: 1) Using list comprehensions with proper filtering for password retrieval 2) Consulting API documentation to resolve KeyError issues 3) Iterating through nested data structures (playlists → songs → song details) 4) Leveraging max() function with custom key for ranking", "score": 0, "time_created": "2025-11-08 20:17:25", "time_modified": "2025-11-08 20:17:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When retrieving data from an API that requires authentication and password management", "category": "success", "created_time": "2025-11-08 20:17:25", "modified_time": "2025-11-08 20:17:25", "generalized_query": "Identify the most-liked item in a collection of curated items from a music service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "22027e4e23214b4ea692befea7029a21", "memory_type": "procedural", "when_to_use": "When prioritizing user-centric metrics over system-wide statistics", "content": "Always verify if metrics like 'like_count' represent user-specific actions (e.g., personal likes) or system-wide statistics (e.g., total likes by all users)", "score": 0, "time_created": "2025-11-08 20:17:35", "time_modified": "2025-11-08 20:17:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most-liked song in my Spotify playlists.", "when_to_use": "When prioritizing user-centric metrics over system-wide statistics", "category": "failure", "created_time": "2025-11-08 20:17:35", "modified_time": "2025-11-08 20:17:35", "generalized_query": "Determine user-specific favorites from platform-wide data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c71f54edf3404221b9425ef487e5b42b", "memory_type": "procedural", "when_to_use": "When determining playback statistics or usage metrics in music platforms", "content": "Playback statistics (e.g., play count) are often distinct from engagement metrics (e.g., likes). Verify API capabilities before assuming data availability, and handle missing data explicitly.", "score": 0, "time_created": "2025-11-08 20:17:37", "time_modified": "2025-11-08 20:17:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When determining playback statistics or usage metrics in music platforms", "category": "failure", "created_time": "2025-11-08 20:17:37", "modified_time": "2025-11-08 20:17:37", "generalized_query": "Identify the most frequently played item in a music library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "f2f26769b81e42449d0ad638de4911ad", "memory_type": "procedural", "when_to_use": "When processing large datasets from paginated APIs", "content": "Implement robust pagination handling and validate data structure consistency across pages", "score": 0, "time_created": "2025-11-08 20:17:18", "time_modified": "2025-11-08 20:17:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most-played song in my Spotify album library.", "when_to_use": "When processing large datasets from paginated APIs", "category": "failure", "created_time": "2025-11-08 20:17:18", "modified_time": "2025-11-08 20:17:18", "generalized_query": "Analyze aggregated data across multiple API pages", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4d92ea442b2c40d49d737fc31b274946", "memory_type": "procedural", "when_to_use": "When accessing Spotify's API to retrieve user data like song libraries or play counts", "content": "Always verify API endpoint existence and response structure before implementing data processing logic. Use the exact field names specified in the API documentation rather than assuming default keys.", "score": 0, "time_created": "2025-11-08 20:17:21", "time_modified": "2025-11-08 20:17:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the least-played song in my Spotify song library.", "when_to_use": "When accessing Spotify's API to retrieve user data like song libraries or play counts", "category": "failure", "created_time": "2025-11-08 20:17:21", "modified_time": "2025-11-08 20:17:21", "generalized_query": "Identify the least frequently played item in a music library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "f6c640fcc4ca453dab8d18cfbb10c734", "memory_type": "procedural", "when_to_use": "When implementing pagination for large datasets in API calls", "content": "Implement robust pagination handling with proper error checking to avoid infinite loops and ensure complete data retrieval from paginated endpoints.", "score": 0, "time_created": "2025-11-08 20:17:21", "time_modified": "2025-11-08 20:17:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the least-played song in my Spotify song library.", "when_to_use": "When implementing pagination for large datasets in API calls", "category": "failure", "created_time": "2025-11-08 20:17:21", "modified_time": "2025-11-08 20:17:21", "generalized_query": "Process paginated API responses effectively", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "fe787f6521be4a07abe5b51563c5aa73", "memory_type": "procedural", "when_to_use": "When modifying song ratings or reviews in a music library API", "content": "Always verify if a review/rating already exists for a song before attempting to create a new one to prevent duplicate entries and 409 conflicts", "score": 0, "time_created": "2025-11-08 20:18:13", "time_modified": "2025-11-08 20:18:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When modifying song ratings or reviews in a music library API", "category": "failure", "created_time": "2025-11-08 20:18:13", "modified_time": "2025-11-08 20:18:13", "generalized_query": "Adjust song ratings based on user interaction metrics in a music library system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "bf9333ce19744f4d9b2310f459580ee9", "memory_type": "procedural", "when_to_use": "When handling API failures due to missing fields", "content": "Implement field existence checks before accessing dictionary keys - use .get() with default values instead of direct indexing", "score": 0, "time_created": "2025-11-08 20:18:08", "time_modified": "2025-11-08 20:18:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 1-star rating to all songs in my Spotify song library which I have not liked. If I have already rated it higher, decrease it to 1.", "when_to_use": "When handling API failures due to missing fields", "category": "failure", "created_time": "2025-11-08 20:18:08", "modified_time": "2025-11-08 20:18:08", "generalized_query": "Access nested data fields in API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "433755c9b7bf460894d005e4a5a04bed", "memory_type": "procedural", "when_to_use": "When retrieving sensitive data like passwords or API tokens", "content": "Always validate data structures before accessing nested keys and ensure proper authentication token handling across API calls", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When retrieving sensitive data like passwords or API tokens", "category": "failure", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Retrieve transactions involving specific user relationships from a social feed", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "0c874d63bbef40b8a4d34d147d0e4ceb", "memory_type": "procedural", "when_to_use": "When filtering data based on dynamic criteria", "content": "Use set operations for efficient membership testing and verify data formats before conditional checks", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When filtering data based on dynamic criteria", "category": "failure", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Filter transactions involving specific relationships", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "877675b56bee4b8abda189095acd6bf2", "memory_type": "procedural", "when_to_use": "When submitting results to supervisor tasks", "content": "Format task answers strictly according to expected data types (prefer strings over complex objects)", "score": 0, "time_created": "2025-11-08 20:18:16", "time_modified": "2025-11-08 20:18:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When submitting results to supervisor tasks", "category": "failure", "created_time": "2025-11-08 20:18:16", "modified_time": "2025-11-08 20:18:16", "generalized_query": "Complete supervisor-assigned transaction analysis tasks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "da599fb4190245978fc493ebe2680d9b", "memory_type": "procedural", "when_to_use": "When searching for contacts or users across apps", "content": "Use dedicated contact search APIs instead of generic search methods for accurate results", "score": 0, "time_created": "2025-11-08 20:18:16", "time_modified": "2025-11-08 20:18:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from today involving any of my roommates on my venmo social feed.", "when_to_use": "When searching for contacts or users across apps", "category": "failure", "created_time": "2025-11-08 20:18:16", "modified_time": "2025-11-08 20:18:16", "generalized_query": "Identify cross-app contact relationships", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9942fec0a79a423aa2225c8337650619", "memory_type": "procedural", "when_to_use": "When accessing multiple apps or services requiring separate authentication", "content": "Always verify access tokens are specific to the target API and validate response structures before field access", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When accessing multiple apps or services requiring separate authentication", "category": "failure", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Retrieve transactions involving specific user relationships across multiple platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "5af571b627554c1aa6b4edc599953610", "memory_type": "procedural", "when_to_use": "When dealing with API rate limiting or duplicate operation errors", "content": "Implement idempotent operations with try-except blocks to handle 'already exists' errors gracefully", "score": 0, "time_created": "2025-11-08 20:18:12", "time_modified": "2025-11-08 20:18:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When dealing with API rate limiting or duplicate operation errors", "category": "failure", "created_time": "2025-11-08 20:18:12", "modified_time": "2025-11-08 20:18:12", "generalized_query": "Perform bulk operations on social media transactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d671b3d3eeda4ad69fde790bc6fdb9c4", "memory_type": "procedural", "when_to_use": "When authenticating and interacting with APIs to perform actions like liking transactions or retrieving social feeds", "content": "The higher-scoring approach succeeded by: 1) Properly handling API authentication and token management, 2) Implementing error handling for duplicate likes, 3) Using Venmo-specific APIs directly rather than cross-platform solutions (phone app), 4) Validating API response structures before accessing fields. The lower-scoring approach failed due to: 1) Using unrelated phone app APIs, 2) Assuming non-existent 'username' fields in responses, 3) Lack of duplicate transaction handling, 4) Inefficient multi-step authentication processes.", "score": 0, "time_created": "2025-11-08 20:18:19", "time_modified": "2025-11-08 20:18:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from yesterday involving any of my siblings on my venmo social feed.", "when_to_use": "When authenticating and interacting with APIs to perform actions like liking transactions or retrieving social feeds", "category": "comparative", "created_time": "2025-11-08 20:18:19", "modified_time": "2025-11-08 20:18:19", "generalized_query": "Interact with social media transactions involving specific relationships (e.g., siblings) across platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "44c5f7af67dc4316a3bf039208eac11b", "memory_type": "procedural", "when_to_use": "When updating ratings for songs in a music library with existing reviews", "content": "The higher-scoring approach succeeded by first checking for existing reviews using the 'show_song_reviews' API and only creating new reviews when none existed. This prevented duplicate review errors. It also used pagination to fully retrieve all liked songs and albums, ensuring comprehensive coverage. The lower-scoring approach failed due to lack of review existence checks and incomplete data retrieval from paginated APIs.", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When updating ratings for songs in a music library with existing reviews", "category": "comparative", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Update song ratings in a music library based on user preferences and existing reviews", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "00138f9d3a3b4c0da8ec891e3c7d45c3", "memory_type": "procedural", "when_to_use": "When handling stateful operations that require checking for existing state before modification", "content": "Implement existence checks for target resources before performing create/update operations, especially when dealing with unique constraint violations", "score": 0, "time_created": "2025-11-08 20:18:28", "time_modified": "2025-11-08 20:18:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When handling stateful operations that require checking for existing state before modification", "category": "failure", "created_time": "2025-11-08 20:18:28", "modified_time": "2025-11-08 20:18:28", "generalized_query": "Perform state modifications with pre-existence checks to avoid conflicts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a069662627e0421fb5cafb2ca96368a6", "memory_type": "procedural", "when_to_use": "When accessing configuration data that depends on dynamic inputs", "content": "Ensure dynamic variables (e.g., passwords, tokens) are explicitly retrieved and validated before use in API calls.", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When accessing configuration data that depends on dynamic inputs", "category": "failure", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Retrieve authentication credentials from a secure password store for API operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "62e984993bed4673b1bd1f116674c00d", "memory_type": "procedural", "when_to_use": "When processing paginated API responses with large datasets", "content": "Implement robust pagination handling with explicit termination conditions to avoid infinite loops and ensure complete data retrieval.", "score": 0, "time_created": "2025-11-08 20:18:17", "time_modified": "2025-11-08 20:18:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Give a 4-star rating to all songs in my Spotify album library which I have liked. If I have already rated it lower, increase it to 4.", "when_to_use": "When processing paginated API responses with large datasets", "category": "failure", "created_time": "2025-11-08 20:18:17", "modified_time": "2025-11-08 20:18:17", "generalized_query": "Iterate through paginated collections to process all items in a user's media library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "84db17aae99f43eeb0371adc568feb13", "memory_type": "procedural", "when_to_use": "When handling API authentication and data export tasks", "content": "Ensure proper authentication for all APIs involved, validate credentials before making requests, and handle pagination correctly when retrieving large datasets.", "score": 0, "time_created": "2025-11-08 20:19:02", "time_modified": "2025-11-08 20:19:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify.csv' file in my file system. The file should have headers, 'Title' and 'Artists' and artists should be separated by '|'. Terminate my account after this backup is complete.", "when_to_use": "When handling API authentication and data export tasks", "category": "failure", "created_time": "2025-11-08 20:19:02", "modified_time": "2025-11-08 20:19:02", "generalized_query": "Export user music library data from a service to a CSV file with specific formatting and terminate the account", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "40731ec342514cce83a5ddc7c39eec4a", "memory_type": "procedural", "when_to_use": "When exporting data from multiple services (e.g., Spotify and file_system) requires authenticated API calls and proper error handling", "content": "The higher-scoring approach succeeded by: 1) Correctly authenticating to both Spotify and file_system apps with proper password retrieval 2) Implementing pagination for comprehensive data collection 3) Using efficient data structuring (zip() for combining title/artists) 4) Properly handling API rate limits and authentication tokens 5) Ensuring atomic operations with proper error isolation", "score": 0, "time_created": "2025-11-08 20:19:06", "time_modified": "2025-11-08 20:19:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify_library.csv' file in my file system. The file should have headers, 'Title' and 'Artists' and artists should be separated by '|'. Terminate my account after this backup is complete.", "when_to_use": "When exporting data from multiple services (e.g., Spotify and file_system) requires authenticated API calls and proper error handling", "category": "comparative", "created_time": "2025-11-08 20:19:06", "modified_time": "2025-11-08 20:19:06", "generalized_query": "Export aggregated data from multiple services to a file with specific formatting and account termination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c746e4f4c2c74a5b966f7dab64746623", "memory_type": "procedural", "when_to_use": "When handling API dependencies across multiple systems", "content": "Implement error handling for API dependency failures and ensure all required APIs are available before initiating multi-step operations.", "score": 0, "time_created": "2025-11-08 20:19:06", "time_modified": "2025-11-08 20:19:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify_library.csv' file in my file system. The file should have headers, 'Title' and 'Artists' and artists should be separated by '|'. Terminate my account after this backup is complete.", "when_to_use": "When handling API dependencies across multiple systems", "category": "failure", "created_time": "2025-11-08 20:19:06", "modified_time": "2025-11-08 20:19:06", "generalized_query": "Integrate data collection from multiple APIs with file output", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "156afb05b83a4932baf2c2e78c9b2e73", "memory_type": "procedural", "when_to_use": "When interacting with multiple APIs that require separate authentication", "content": "Ensure all API calls use valid access tokens with appropriate scopes. Verify that authentication credentials are specific to each API endpoint being accessed.", "score": 0, "time_created": "2025-11-08 20:19:08", "time_modified": "2025-11-08 20:19:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify_songs.csv' file in my file system. The file should have headers, 'Title' and 'Artists' and artists should be separated by '|'. Terminate my account after this backup is complete.", "when_to_use": "When interacting with multiple APIs that require separate authentication", "category": "failure", "created_time": "2025-11-08 20:19:08", "modified_time": "2025-11-08 20:19:08", "generalized_query": "Export data from multiple services to a file and terminate an account", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b45088ca7a2b4a988e09b2acabd8f445", "memory_type": "procedural", "when_to_use": "When writing files to restricted directories", "content": "Verify directory permissions and ensure the access token has write permissions for the target path. Use explicit file creation methods provided by the file system API.", "score": 0, "time_created": "2025-11-08 20:19:08", "time_modified": "2025-11-08 20:19:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify_songs.csv' file in my file system...", "when_to_use": "When writing files to restricted directories", "category": "failure", "created_time": "2025-11-08 20:19:08", "modified_time": "2025-11-08 20:19:08", "generalized_query": "Write files to specific directories in a file system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "92511852ab5249eba563799a236e053a", "memory_type": "procedural", "when_to_use": "When terminating an account after completing operations", "content": "Confirm account termination can only be performed when all required operations are successfully completed and no active sessions exist.", "score": 0, "time_created": "2025-11-08 20:19:08", "time_modified": "2025-11-08 20:19:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "...Terminate my account after this backup is complete.", "when_to_use": "When terminating an account after completing operations", "category": "failure", "created_time": "2025-11-08 20:19:08", "modified_time": "2025-11-08 20:19:08", "generalized_query": "Terminate an account after completing a task", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "59a771f8401f48f0b2609d749893f31b", "memory_type": "procedural", "when_to_use": "When constructing CSV files from nested data structures", "content": "Always validate data structure formats before processing. When joining nested fields (e.g., artists), explicitly access the required property path (e.g., artist['name']) rather than assuming direct access to primitive values.", "score": 0, "time_created": "2025-11-08 20:19:13", "time_modified": "2025-11-08 20:19:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Export a unique list of all the songs in my song and album library and all playlists in my Spotify account into '~/backups/spotify_songs.csv' file in my file system. The file should have headers, 'Title' and 'Artists' and artists should be separated by '|'.", "when_to_use": "When constructing CSV files from nested data structures", "category": "failure", "created_time": "2025-11-08 20:19:13", "modified_time": "2025-11-08 20:19:13", "generalized_query": "Format nested data structures into delimited text files with specific column requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b0899be64ae44af39e08b5001abf7079", "memory_type": "procedural", "when_to_use": "When retrieving transaction data involving specific contacts via APIs", "content": "Always validate API parameter names and response structures before accessing nested fields to avoid KeyError. Verify API documentation for exact parameter names and data formats.", "score": 0, "time_created": "2025-11-08 20:19:01", "time_modified": "2025-11-08 20:19:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Get the Venmo transactions from yesterday or today involving any of my coworkers on my Venmo social feed", "when_to_use": "When retrieving transaction data involving specific contacts via APIs", "category": "failure", "created_time": "2025-11-08 20:19:01", "modified_time": "2025-11-08 20:19:01", "generalized_query": "Retrieve transaction data filtered by specific contact relationships and date ranges", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b67ec2894e7140d8ae249750cc9af0f4", "memory_type": "procedural", "when_to_use": "When handling authentication and credential management", "content": "Implement robust credential retrieval workflows and validate authentication responses to handle 401 errors. Ensure tokens are stored securely and used with appropriate scopes.", "score": 0, "time_created": "2025-11-08 20:19:01", "time_modified": "2025-11-08 20:19:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed", "when_to_use": "When handling authentication and credential management", "category": "failure", "created_time": "2025-11-08 20:19:01", "modified_time": "2025-11-08 20:19:01", "generalized_query": "Access restricted services requiring authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "0f02352e6c6342659fa967aee3f33520", "memory_type": "procedural", "when_to_use": "When submitting final results to a supervisory system", "content": "Ensure output format strictly matches expected schema requirements, including type consistency and structural integrity", "score": 0, "time_created": "2025-11-08 20:18:58", "time_modified": "2025-11-08 20:18:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the venmo transactions from yesterday or today involving any of my coworkers on my venmo social feed.", "when_to_use": "When submitting final results to a supervisory system", "category": "failure", "created_time": "2025-11-08 20:18:58", "modified_time": "2025-11-08 20:18:58", "generalized_query": "Provide structured output for automated processing systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "61fd52b288b8405d9b1623b4aff52e0f", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens or specific request parameters", "content": "Always verify required API parameters are explicitly provided, validate authentication tokens before making requests, and implement robust text parsing logic to handle formatting variations", "score": 0, "time_created": "2025-11-08 20:19:45", "time_modified": "2025-11-08 20:19:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Leslie has asked for my movie recommendations via phone text message. Reply to them with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When interacting with APIs that require authentication tokens or specific request parameters", "category": "failure", "created_time": "2025-11-08 20:19:45", "modified_time": "2025-11-08 20:19:45", "generalized_query": "Retrieve and format structured data from a note-taking API based on user request", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e90e65be91ac43a2a3715bc63aac7f5e", "memory_type": "procedural", "when_to_use": "When retrieving data from multiple interconnected systems (e.g., authentication, data storage, messaging)", "content": "The higher-scoring approach succeeded by systematically resolving authentication challenges through API documentation analysis, ensuring proper token management, and precisely mapping data relationships (note content → movie indicators → recipient contact). The lower-scoring approach failed due to inconsistent authentication methods (email vs phone number), incomplete API exploration, and incorrect data parsing logic.", "score": 0, "time_created": "2025-11-08 20:19:49", "time_modified": "2025-11-08 20:19:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reply to Christopher with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When retrieving data from multiple interconnected systems (e.g., authentication, data storage, messaging)", "category": "comparative", "created_time": "2025-11-08 20:19:49", "modified_time": "2025-11-08 20:19:49", "generalized_query": "Extract and deliver specific data from a centralized system to an external recipient via a messaging interface", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "61ff914b703d47d4bc6427535149a6da", "memory_type": "procedural", "when_to_use": "When extracting structured data from text-based note content", "content": "Use precise text parsing patterns that account for nested metadata formats (e.g., hyphenated lists with embedded details)", "score": 0, "time_created": "2025-11-08 20:19:45", "time_modified": "2025-11-08 20:19:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reply to Laura with a list of comma-separated movie titles from my Simple Note account", "when_to_use": "When extracting structured data from text-based note content", "category": "failure", "created_time": "2025-11-08 20:19:45", "modified_time": "2025-11-08 20:19:45", "generalized_query": "Extract specific formatted data (e.g., movie titles) from structured text notes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b383280146574e63b63fae4e1663d23f", "memory_type": "procedural", "when_to_use": "When accessing account credentials or API endpoints requiring authentication", "content": "Always validate list comprehensions for single-element extraction and verify API parameter constraints (e.g., page_limit max value) before execution", "score": 0, "time_created": "2025-11-08 20:19:47", "time_modified": "2025-11-08 20:19:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reply to Laura with a list of comma-separated movie titles from my Simple Note account as per their request.", "when_to_use": "When accessing account credentials or API endpoints requiring authentication", "category": "failure", "created_time": "2025-11-08 20:19:47", "modified_time": "2025-11-08 20:19:47", "generalized_query": "Retrieve and format data from a notes database to fulfill a user request via messaging", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "679c400ee36d48df9fe55d8eb4f3aaf9", "memory_type": "procedural", "when_to_use": "When dealing with API authentication failures across multiple services", "content": "The higher-scoring approach implemented a fallback to the supervisor app when phone authentication failed, demonstrating better error resilience. The lower-scoring sequence lacked this contingency planning, leading to repeated failed attempts without addressing the root cause of authentication issues.", "score": 0, "time_created": "2025-11-08 20:19:50", "time_modified": "2025-11-08 20:19:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Send text message via phone app after Simple Note authentication", "when_to_use": "When dealing with API authentication failures across multiple services", "category": "comparative", "created_time": "2025-11-08 20:19:50", "modified_time": "2025-11-08 20:19:50", "generalized_query": "Handle cross-service authentication with fallback strategies", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "0a9599adc5b24c97860055fe17c47a67", "memory_type": "procedural", "when_to_use": "When interacting with Venmo APIs to manage transactions and comments", "content": "Ensure transaction IDs are valid and authorized before performing actions like commenting or liking. Verify API endpoint relationships between payment requests and transactions explicitly documented in the API docs.", "score": 0, "time_created": "2025-11-08 20:20:00", "time_modified": "2025-11-08 20:20:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, 'Thank you!', to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When interacting with Venmo APIs to manage transactions and comments", "category": "failure", "created_time": "2025-11-08 20:20:00", "modified_time": "2025-11-08 20:20:00", "generalized_query": "Automate commenting and liking recent transactions from specific users on a payment platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "275269c1d94643f19cf79b2020e6c79e", "memory_type": "procedural", "when_to_use": "When executing multi-step API operations with potential failures", "content": "Implement error handling and response validation for all API calls to ensure reliability", "score": 0, "time_created": "2025-11-08 20:19:58", "time_modified": "2025-11-08 20:19:58", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, \"Thank you!\", to all the venmo payments I received from my coworkers in the last 5 days (including today), and like those payments.", "when_to_use": "When executing multi-step API operations with potential failures", "category": "failure", "created_time": "2025-11-08 20:19:58", "modified_time": "2025-11-08 20:19:58", "generalized_query": "Execute sequential API operations with error handling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "66f085efdc124195b9052efe3bbb2f7e", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens for operations like liking or commenting on transactions", "content": "Always verify API endpoint requirements explicitly, including mandatory parameters like access tokens, and ensure correct data structure handling to avoid runtime errors", "score": 0, "time_created": "2025-11-08 20:20:25", "time_modified": "2025-11-08 20:20:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, \"Thanks!\", to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When interacting with APIs that require authentication tokens for operations like liking or commenting on transactions", "category": "failure", "created_time": "2025-11-08 20:20:25", "modified_time": "2025-11-08 20:20:25", "generalized_query": "Perform actions (e.g., like, comment) on recent transactions from a specific service (e.g., Venmo) within a time frame", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "76d39ccc2d084d4db3dc9d45f6bc834b", "memory_type": "procedural", "when_to_use": "When retrieving paginated API results that require filtering by date ranges", "content": "Implement robust pagination handling with clear termination conditions and validate date formatting against API-specific datetime requirements", "score": 0, "time_created": "2025-11-08 20:20:25", "time_modified": "2025-11-08 20:20:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, \"Thanks!\", to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When retrieving paginated API results that require filtering by date ranges", "category": "failure", "created_time": "2025-11-08 20:20:25", "modified_time": "2025-11-08 20:20:25", "generalized_query": "Filter and process paginated data across multiple API pages with temporal constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "55088a11e4534e6db7e65bbba9592e1c", "memory_type": "procedural", "when_to_use": "When extracting sensitive information like passwords from secure storage", "content": "Use precise filtering conditions (e.g., account_name == 'venmo') and verify data structure before accessing nested fields to prevent type errors", "score": 0, "time_created": "2025-11-08 20:20:25", "time_modified": "2025-11-08 20:20:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, 'Thanks!', to all the venmo payments I received from my friends in the last 7 days (including today), and like those payments.", "when_to_use": "When extracting sensitive information like passwords from secure storage", "category": "failure", "created_time": "2025-11-08 20:20:25", "modified_time": "2025-11-08 20:20:25", "generalized_query": "Retrieve credentials from a password manager to authenticate API access", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4d7a42cbbcba4bad857a7f935be3e394", "memory_type": "procedural", "when_to_use": "When retrieving personalized recommendations from an API that requires pagination and requires aggregating results across multiple pages", "content": "Successfully retrieved Spotify recommendations by first authenticating with the account, then paginating through recommendation results using the show_recommendations API. Processed the results by extracting artist names and using a Counter to identify the most frequent artist. This approach ensures complete data collection through pagination and leverages Python's collections.Counter for efficient frequency analysis.", "score": 0, "time_created": "2025-11-08 20:20:21", "time_modified": "2025-11-08 20:20:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When retrieving personalized recommendations from an API that requires pagination and requires aggregating results across multiple pages", "category": "success", "created_time": "2025-11-08 20:20:21", "modified_time": "2025-11-08 20:20:21", "generalized_query": "Identify the top recommended entity from an API-based recommendation system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8c32072a8d2a4f37913b96bd99e54193", "memory_type": "procedural", "when_to_use": "When handling authentication-dependent API requests", "content": "Successfully implemented OAuth flow by first retrieving account credentials, then using them to obtain an access token through the login endpoint. This ensured proper authentication for subsequent API calls that require authorization headers or tokens.", "score": 0, "time_created": "2025-11-08 20:20:21", "time_modified": "2025-11-08 20:20:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When handling authentication-dependent API requests", "category": "success", "created_time": "2025-11-08 20:20:21", "modified_time": "2025-11-08 20:20:21", "generalized_query": "Access protected API resources requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d7234329fd134c37b5153f024d2109e5", "memory_type": "procedural", "when_to_use": "When calculating weighted recommendations from multiple data sources", "content": "Use associative arrays to accumulate weighted scores rather than direct comparison of nested lists", "score": 0, "time_created": "2025-11-08 20:20:34", "time_modified": "2025-11-08 20:20:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When calculating weighted recommendations from multiple data sources", "category": "failure", "created_time": "2025-11-08 20:20:34", "modified_time": "2025-11-08 20:20:34", "generalized_query": "Aggregate recommendation scores across different data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a4ee25adbb4c46e3b1ba82ad98f83968", "memory_type": "procedural", "when_to_use": "When interacting with external APIs or systems to perform actions like commenting or liking transactions", "content": "Always verify API endpoint existence and authentication requirements before executing operations. Use pagination and proper filters to handle large datasets efficiently.", "score": 0, "time_created": "2025-11-08 20:20:31", "time_modified": "2025-11-08 20:20:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When interacting with external APIs or systems to perform actions like commenting or liking transactions", "category": "failure", "created_time": "2025-11-08 20:20:31", "modified_time": "2025-11-08 20:20:31", "generalized_query": "Perform bulk actions (like/comments) on recent transactions from specific sources within a time frame", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "23b4c132033c4c429213bb73cd0a7145", "memory_type": "procedural", "when_to_use": "When handling API authentication for third-party services", "content": "Use existing account credentials from trusted sources (e.g., supervisor app) for authentication when direct API credentials are unavailable.", "score": 0, "time_created": "2025-11-08 20:20:31", "time_modified": "2025-11-08 20:20:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add a comment, 'Thank you so much!', to all the venmo payments I received from my roommates in the last 10 days (including today), and like those payments.", "when_to_use": "When handling API authentication for third-party services", "category": "failure", "created_time": "2025-11-08 20:20:31", "modified_time": "2025-11-08 20:20:31", "generalized_query": "Authenticate and interact with a payment platform's API to modify transaction metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8be018e6ec024263a5ee669467fbc266", "memory_type": "procedural", "when_to_use": "When retrieving artist information from Spotify's API", "content": "Always verify API endpoint existence and response structure before accessing nested data fields", "score": 0, "time_created": "2025-11-08 20:20:41", "time_modified": "2025-11-08 20:20:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When retrieving artist information from Spotify's API", "category": "failure", "created_time": "2025-11-08 20:20:41", "modified_time": "2025-11-08 20:20:41", "generalized_query": "Identify an artist with minimal recommendation data from a music platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d2656895d7ff4f3fb3a6fec59a58763a", "memory_type": "procedural", "when_to_use": "When analyzing recommendation bias in music platforms", "content": "The agent effectively used the platform's recommendation API to collect data, then applied statistical analysis to identify underrepresented artists. This demonstrates how to quantify recommendation bias by measuring artist exposure across recommendation results.", "score": 0, "time_created": "2025-11-08 20:20:41", "time_modified": "2025-11-08 20:20:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist least recommended to me on Spotify.", "when_to_use": "When analyzing recommendation bias in music platforms", "category": "success", "created_time": "2025-11-08 20:20:41", "modified_time": "2025-11-08 20:20:41", "generalized_query": "Analyze recommendation algorithm bias through artist exposure metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d59b555ce7bf45d19999a17f6e5dd1b9", "memory_type": "procedural", "when_to_use": "When accessing paginated API endpoints to retrieve large datasets like music recommendations", "content": "Successfully retrieved and processed Spotify recommendations by first authenticating with stored credentials, then using pagination to collect all pages of results. Aggregated artist data across recommendations to identify the most frequent collaborator", "score": 0, "time_created": "2025-11-08 20:20:53", "time_modified": "2025-11-08 20:20:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When accessing paginated API endpoints to retrieve large datasets like music recommendations", "category": "success", "created_time": "2025-11-08 20:20:53", "modified_time": "2025-11-08 20:20:53", "generalized_query": "Identify the most frequently recommended entity from an API-based recommendation system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3da8632a341b416fb8ae9a00a3313ddf", "memory_type": "procedural", "when_to_use": "When extracting data from nested API responses, especially when dealing with user-related fields like owner information.", "content": "Always verify the structure of API responses before accessing nested fields; use 'owner.name' instead of assuming 'owner_email' for user identification.", "score": 0, "time_created": "2025-11-08 20:20:55", "time_modified": "2025-11-08 20:20:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When extracting data from nested API responses, especially when dealing with user-related fields like owner information.", "category": "failure", "created_time": "2025-11-08 20:20:55", "modified_time": "2025-11-08 20:20:55", "generalized_query": "Determine a recommended artist based on playlist ownership and engagement metrics.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b6420a0272a94140875ab057a9f0dcb9", "memory_type": "procedural", "when_to_use": "When encountering KeyError exceptions during dictionary access.", "content": "Use defensive programming techniques like .get() or conditional checks before accessing nested keys, and validate data structures via inspection (e.g., print/inspect sample data).", "score": 0, "time_created": "2025-11-08 20:20:55", "time_modified": "2025-11-08 20:20:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Name the artist most recommended to me on Spotify.", "when_to_use": "When encountering KeyError exceptions during dictionary access.", "category": "failure", "created_time": "2025-11-08 20:20:55", "modified_time": "2025-11-08 20:20:55", "generalized_query": "Access nested dictionary fields safely to prevent runtime errors.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1567477fe48447aaa16abeb04aa7d458", "memory_type": "procedural", "when_to_use": "When accessing user accounts requiring authentication, especially with password management systems", "content": "Properly retrieve and validate credentials before API interactions. Use supervisor APIs to access stored credentials, handle pagination for large datasets, and combine data from playlists, song libraries, and album libraries to ensure comprehensive coverage. Filter and deduplicate data before processing.", "score": 0, "time_created": "2025-11-08 20:21:08", "time_modified": "2025-11-08 20:21:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When accessing user accounts requiring authentication, especially with password management systems", "category": "success", "created_time": "2025-11-08 20:21:08", "modified_time": "2025-11-08 20:21:08", "generalized_query": "Identify the latest item in a user's media library across multiple data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9166c84222cc46b7b9d17aacd0372a19", "memory_type": "procedural", "when_to_use": "When needing to determine the most recent item in a time-sensitive dataset", "content": "Collect timestamp metadata (release_date) for all items, then use max() function with a custom key to identify the latest entry. Ensure consistent date formatting across all data sources for accurate comparisons.", "score": 0, "time_created": "2025-11-08 20:21:08", "time_modified": "2025-11-08 20:21:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the newest released song in my Spotify account...", "when_to_use": "When needing to determine the most recent item in a time-sensitive dataset", "category": "success", "created_time": "2025-11-08 20:21:08", "modified_time": "2025-11-08 20:21:08", "generalized_query": "Find the most recently released item in a collection of media assets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ef0ae4ce3b244c32a2dc455286442780", "memory_type": "procedural", "when_to_use": "When executing multi-step authentication workflows", "content": "Implement error handling for missing dependencies (like password stores) and verify credential availability before initiating authentication processes", "score": 0, "time_created": "2025-11-08 20:21:17", "time_modified": "2025-11-08 20:21:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the newest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When executing multi-step authentication workflows", "category": "failure", "created_time": "2025-11-08 20:21:17", "modified_time": "2025-11-08 20:21:17", "generalized_query": "Authenticate and access protected resources across multiple systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3938016562394e89a694aa245ea1cb04", "memory_type": "procedural", "when_to_use": "When creating payment requests based on shared expense notes", "content": "The higher-scoring approach successfully authenticated with Venmo and Simple Note APIs using access tokens, while the lower-scoring approach failed repeatedly due to missing authentication parameters. The higher approach systematically resolved API errors by: 1) Using proper authentication flow (login -> token acquisition), 2) Correctly identifying API endpoints (search_notes instead of get_note), 3) Structuring data processing with loops for payment requests.", "score": 0, "time_created": "2025-11-08 20:21:35", "time_modified": "2025-11-08 20:21:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note \"Work Dinner\"", "when_to_use": "When creating payment requests based on shared expense notes", "category": "comparative", "created_time": "2025-11-08 20:21:35", "modified_time": "2025-11-08 20:21:35", "generalized_query": "Generate payment requests for unpaid expenses from a shared note", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d62a42a25f2e4fc59681d1939af163da", "memory_type": "procedural", "when_to_use": "When handling API rate limits or authentication tokens", "content": "Implement token refresh mechanisms and monitor response headers for authorization status changes", "score": 0, "time_created": "2025-11-08 20:21:27", "time_modified": "2025-11-08 20:21:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note \"Work Dinner\"", "when_to_use": "When handling API rate limits or authentication tokens", "category": "failure", "created_time": "2025-11-08 20:21:27", "modified_time": "2025-11-08 20:21:27", "generalized_query": "Access protected resources across multiple API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "efc8878e5f104841b05e1b39322d78a0", "memory_type": "procedural", "when_to_use": "When retrieving data from multiple sources (e.g., songs, albums, playlists) to determine the oldest item", "content": "Always validate data structure integrity before accessing nested properties; use explicit checks for variable existence and correct data type handling", "score": 0, "time_created": "2025-11-08 20:21:33", "time_modified": "2025-11-08 20:21:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When retrieving data from multiple sources (e.g., songs, albums, playlists) to determine the oldest item", "category": "failure", "created_time": "2025-11-08 20:21:33", "modified_time": "2025-11-08 20:21:33", "generalized_query": "Identify the oldest item (song, album, or playlist) based on release/creation date across multiple data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7ce028f2f0bc4511a5d251114aaebe00", "memory_type": "procedural", "when_to_use": "When resolving ambiguous task queries that reference multiple data types", "content": "Implement explicit entity type filtering and maintain clear separation between different data categories during analysis", "score": 0, "time_created": "2025-11-08 20:21:33", "time_modified": "2025-11-08 20:21:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When resolving ambiguous task queries that reference multiple data types", "category": "failure", "created_time": "2025-11-08 20:21:33", "modified_time": "2025-11-08 20:21:33", "generalized_query": "Resolve ambiguous queries referencing multiple entity types with temporal criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c3af8a3bd3de4eefa96d42cdb873c388", "memory_type": "procedural", "when_to_use": "When processing collections with potential missing elements", "content": "Use defensive programming practices like checking for empty collections and handling edge cases before performing operations", "score": 0, "time_created": "2025-11-08 20:21:39", "time_modified": "2025-11-08 20:21:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When processing collections with potential missing elements", "category": "failure", "created_time": "2025-11-08 20:21:39", "modified_time": "2025-11-08 20:21:39", "generalized_query": "Find minimum/maximum values in collections with possible empty entries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "f7bc3c70ff97412bb3fb59233f9e924a", "memory_type": "procedural", "when_to_use": "When attempting to retrieve music metadata from Spotify's API", "content": "Use the 'search_songs' API with sorting by release date to find the oldest song", "score": 0, "time_created": "2025-11-08 20:22:02", "time_modified": "2025-11-08 20:22:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When attempting to retrieve music metadata from Spotify's API", "category": "failure", "created_time": "2025-11-08 20:22:02", "modified_time": "2025-11-08 20:22:02", "generalized_query": "Identify the oldest song in a user's Spotify libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7dfcf04b5d654991944926c5e9863a88", "memory_type": "procedural", "when_to_use": "When encountering repeated API description retrieval", "content": "Avoid redundant API documentation queries; focus on actionable endpoints", "score": 0, "time_created": "2025-11-08 20:22:02", "time_modified": "2025-11-08 20:22:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When encountering repeated API description retrieval", "category": "failure", "created_time": "2025-11-08 20:22:02", "modified_time": "2025-11-08 20:22:02", "generalized_query": "Identify the oldest song in a user's Spotify libraries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "cb70f9d2155541e890f38296fd4f6dd2", "memory_type": "procedural", "when_to_use": "When aggregating data from multiple sources with varying metadata fields", "content": "Always validate field existence before accessing nested properties and handle date format variability through standardized conversion routines", "score": 0, "time_created": "2025-11-08 20:21:12", "time_modified": "2025-11-08 20:21:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When aggregating data from multiple sources with varying metadata fields", "category": "failure", "created_time": "2025-11-08 20:21:12", "modified_time": "2025-11-08 20:21:12", "generalized_query": "Identify the oldest item in a collection across multiple data sources with inconsistent metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d4f6f11f1c974ffc962a3a972055a448", "memory_type": "procedural", "when_to_use": "When defining utility functions for repeated operations", "content": "Define reusable utility functions with proper scope and ensure all dependencies are explicitly declared and available in the execution context", "score": 0, "time_created": "2025-11-08 20:21:12", "time_modified": "2025-11-08 20:21:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the oldest released song in my Spotify account from across my song, album and playlist libraries?", "when_to_use": "When defining utility functions for repeated operations", "category": "failure", "created_time": "2025-11-08 20:21:12", "modified_time": "2025-11-08 20:21:12", "generalized_query": "Perform repetitive data processing tasks across multiple data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7128f4c4113a4d41ac3c524b53ef8165", "memory_type": "procedural", "when_to_use": "When handling note-based expense tracking with Venmo integration", "content": "The higher-scoring approach succeeded by systematically addressing authentication requirements first, using the correct 'search_notes' API with proper access tokens, and implementing data cleaning (removing $ symbols) before numerical processing. The lower-scoring approach failed due to incorrect API assumptions, missing authentication steps, and improper error handling for currency formatting.", "score": 0, "time_created": "2025-11-08 20:21:59", "time_modified": "2025-11-08 20:21:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note \"Friends Dinner\"", "when_to_use": "When handling note-based expense tracking with Venmo integration", "category": "comparative", "created_time": "2025-11-08 20:21:59", "modified_time": "2025-11-08 20:21:59", "generalized_query": "Generate payment requests based on expense splits from a shared note", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1d1d32d8c5a545e1b9a23d5b9dc1f108", "memory_type": "procedural", "when_to_use": "When interacting with an API to retrieve or modify data", "content": "Always verify the existence of API methods before invocation and cross-reference documentation to avoid 'No API found' errors", "score": 0, "time_created": "2025-11-08 20:22:02", "time_modified": "2025-11-08 20:22:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I went on a dinner with some of my friends yesterday. I paid the entire bill to simplify the payment. I've made a note of individual shares in simple note. Some people have already sent me their share on venmo. Make payment requests for others with a description note 'Friends Dinner'.", "when_to_use": "When interacting with an API to retrieve or modify data", "category": "failure", "created_time": "2025-11-08 20:22:02", "modified_time": "2025-11-08 20:22:02", "generalized_query": "Retrieve and process shared expenses from a note to create payment requests for unpaid individuals", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "01dcc9b8ccc0428eb42c3bae1740451a", "memory_type": "procedural", "when_to_use": "When handling credential management across multiple services", "content": "Use centralized credential management systems (e.g., supervisor app) to securely retrieve and validate service-specific passwords", "score": 0, "time_created": "2025-11-08 20:22:02", "time_modified": "2025-11-08 20:22:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note 'Friends Dinner'", "when_to_use": "When handling credential management across multiple services", "category": "failure", "created_time": "2025-11-08 20:22:02", "modified_time": "2025-11-08 20:22:02", "generalized_query": "Access account credentials for third-party services", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "5453ffef1f1b41e9a1cda9a60f932f1a", "memory_type": "procedural", "when_to_use": "When processing notes with structured text entries (e.g., bullet points with arrows)", "content": "Always preprocess lines to remove leading formatting symbols (e.g., hyphens, asterisks) before splitting content fields", "score": 0, "time_created": "2025-11-08 20:22:04", "time_modified": "2025-11-08 20:22:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note \"Dinner with Colleagues\"", "when_to_use": "When processing notes with structured text entries (e.g., bullet points with arrows)", "category": "failure", "created_time": "2025-11-08 20:22:04", "modified_time": "2025-11-08 20:22:04", "generalized_query": "Extract and process structured data from notes containing formatted entries", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "61625bd2cdc6405a94d221c345cb2846", "memory_type": "procedural", "when_to_use": "When creating payment requests for users based on shared notes", "content": "Always verify user existence and retrieve accurate contact information (e.g., email) before initiating payment requests, as assumed email formats may be invalid.", "score": 0, "time_created": "2025-11-08 20:22:18", "time_modified": "2025-11-08 20:22:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make payment requests for others with a description note 'Dinner with Colleagues'", "when_to_use": "When creating payment requests for users based on shared notes", "category": "failure", "created_time": "2025-11-08 20:22:18", "modified_time": "2025-11-08 20:22:18", "generalized_query": "Generate payment requests for users based on expense-sharing notes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "97f6b04ba43b4b15a839d32c84462b42", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requiring authentication", "content": "Ensure access tokens are included in API requests and validated for scope/permissions to avoid 401 Unauthorized errors.", "score": 0, "time_created": "2025-11-08 20:22:18", "time_modified": "2025-11-08 20:22:18", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Show detailed information of a note, including its content", "when_to_use": "When accessing protected APIs requiring authentication", "category": "failure", "created_time": "2025-11-08 20:22:18", "modified_time": "2025-11-08 20:22:18", "generalized_query": "Access restricted API endpoints that require valid authentication tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "835e8b5c0689422c8c2ac9266acd9f2c", "memory_type": "procedural", "when_to_use": "When accessing external services requiring authentication, such as Venmo or phone apps, to retrieve user data", "content": "Always validate authentication tokens before making API calls and ensure proper error handling for credential failures. Use pagination parameters cautiously to avoid infinite loops.", "score": 0, "time_created": "2025-11-08 20:22:21", "time_modified": "2025-11-08 20:22:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When accessing external services requiring authentication, such as Venmo or phone apps, to retrieve user data", "category": "failure", "created_time": "2025-11-08 20:22:21", "modified_time": "2025-11-08 20:22:21", "generalized_query": "Retrieve transaction history between user and specific contacts within a date range", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "daa2b8231e554d88b2c3699fdb32326c", "memory_type": "procedural", "when_to_use": "When extracting sensitive information like passwords from stored credentials", "content": "Use list comprehensions correctly to extract specific values and verify credentials immediately after retrieval. Avoid assuming password formats.", "score": 0, "time_created": "2025-11-08 20:22:21", "time_modified": "2025-11-08 20:22:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I sent to my roommates on venmo since 1st Jan of this year?", "when_to_use": "When extracting sensitive information like passwords from stored credentials", "category": "failure", "created_time": "2025-11-08 20:22:21", "modified_time": "2025-11-08 20:22:21", "generalized_query": "Access stored credentials to authenticate to third-party services", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "0aa8fe3f45254d248b06658099ead78f", "memory_type": "procedural", "when_to_use": "When retrieving transaction data from Venmo or similar platforms", "content": "Always validate and apply recipient-specific filters (e.g., coworker emails) when querying transaction data, not just direction (received). Misinterpreting 'to coworkers' as mere 'received' transactions leads to inaccurate results.", "score": 0, "time_created": "2025-11-08 20:22:46", "time_modified": "2025-11-08 20:22:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When retrieving transaction data from Venmo or similar platforms", "category": "failure", "created_time": "2025-11-08 20:22:46", "modified_time": "2025-11-08 20:22:46", "generalized_query": "Calculate total received funds from specific recipients within a date range", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e674e9be83914a079ed3e99278dceeb8", "memory_type": "procedural", "when_to_use": "When handling API responses with pagination", "content": "Implement robust pagination termination logic to avoid infinite loops. Ensure the API endpoint supports proper pagination parameters (e.g., page_index, page_limit) and validate when to stop fetching pages.", "score": 0, "time_created": "2025-11-08 20:22:46", "time_modified": "2025-11-08 20:22:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When handling API responses with pagination", "category": "failure", "created_time": "2025-11-08 20:22:46", "modified_time": "2025-11-08 20:22:46", "generalized_query": "Aggregate data across paginated API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b5d9afc98e8d4641a92a34b42bf42125", "memory_type": "procedural", "when_to_use": "When extracting sensitive credentials from secure sources", "content": "Use targeted queries (e.g., exact account_name) and avoid list comprehensions that may inadvertently select incorrect credentials. Validate credential authenticity before usage.", "score": 0, "time_created": "2025-11-08 20:22:46", "time_modified": "2025-11-08 20:22:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I received to my coworkers on venmo since 1st Feb of this year?", "when_to_use": "When extracting sensitive credentials from secure sources", "category": "failure", "created_time": "2025-11-08 20:22:46", "modified_time": "2025-11-08 20:22:46", "generalized_query": "Access application credentials securely", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "070298d07dac4d1a8e225d6d44b107d4", "memory_type": "procedural", "when_to_use": "When accessing third-party APIs with rate limits or parameter constraints", "content": "Always validate API parameter constraints (e.g., page_limit ≤ 20) and verify credentials for each service independently rather than reusing credentials across unrelated systems", "score": 0, "time_created": "2025-11-08 20:22:43", "time_modified": "2025-11-08 20:22:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When accessing third-party APIs with rate limits or parameter constraints", "category": "failure", "created_time": "2025-11-08 20:22:43", "modified_time": "2025-11-08 20:22:43", "generalized_query": "Retrieve transaction history between specific users within a date range across a financial platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3fe7762286d849cc878a5060ea902fd4", "memory_type": "procedural", "when_to_use": "When retrieving transaction data from APIs with date ranges and recipient filters", "content": "Always verify API parameters for direction (sent/received) and recipient filtering when analyzing transaction history", "score": 0, "time_created": "2025-11-08 20:22:39", "time_modified": "2025-11-08 20:22:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When retrieving transaction data from APIs with date ranges and recipient filters", "category": "failure", "created_time": "2025-11-08 20:22:39", "modified_time": "2025-11-08 20:22:39", "generalized_query": "Calculate total monetary transactions with specific recipients within a date range", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "741e7f1042db462eb61ccb0d3d05dfec", "memory_type": "procedural", "when_to_use": "When handling boolean outputs from list comprehensions", "content": "Use conditional filters with list comprehensions to avoid type errors when accessing nested data", "score": 0, "time_created": "2025-11-08 20:22:39", "time_modified": "2025-11-08 20:22:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How much money have I sent or received to my roommates on venmo since 1st Mar of this year?", "when_to_use": "When handling boolean outputs from list comprehensions", "category": "failure", "created_time": "2025-11-08 20:22:39", "modified_time": "2025-11-08 20:22:39", "generalized_query": "Extract specific values from structured data formats", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1ddc1130a25548b18ce604b7df5a378f", "memory_type": "procedural", "when_to_use": "When retrieving data from APIs, especially nested structures like song details", "content": "Always validate the structure of API responses before accessing nested fields to avoid KeyError. Verify field names (e.g., 'artists' vs. 'artist') and ensure data types align with expected formats.", "score": 0, "time_created": "2025-11-08 20:22:57", "time_modified": "2025-11-08 20:22:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify", "when_to_use": "When retrieving data from APIs, especially nested structures like song details", "category": "failure", "created_time": "2025-11-08 20:22:57", "modified_time": "2025-11-08 20:22:57", "generalized_query": "Identify and process specific data fields from nested API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "23c3110a9e054cc28fa0099574888358", "memory_type": "procedural", "when_to_use": "When submitting results to external systems via API", "content": "Convert non-serializable data types (e.g., sets) to JSON-compatible formats (e.g., lists) before passing them to API endpoints. Validate expected data types in the target system's documentation.", "score": 0, "time_created": "2025-11-08 20:22:57", "time_modified": "2025-11-08 20:22:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all classical-genre songs in any of my playlists on Spotify", "when_to_use": "When submitting results to external systems via API", "category": "failure", "created_time": "2025-11-08 20:22:57", "modified_time": "2025-11-08 20:22:57", "generalized_query": "Serialize data for API submission while maintaining compatibility", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b1def4bd99e7418d9b4df3bad76916bc", "memory_type": "procedural", "when_to_use": "When interacting with an API that requires dynamic endpoint validation", "content": "Before making API calls, validate endpoint existence using API documentation tools. When encountering 'No API found' errors, systematically check the app's API list and replace invalid method names with correct ones. This ensures compatibility with the actual API surface.", "score": 0, "time_created": "2025-11-08 20:23:04", "time_modified": "2025-11-08 20:23:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify", "when_to_use": "When interacting with an API that requires dynamic endpoint validation", "category": "success", "created_time": "2025-11-08 20:23:04", "modified_time": "2025-11-08 20:23:04", "generalized_query": "Follow artists of songs matching a specific genre across all playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "89f79e92ea9a42818aac3fd47506ff26", "memory_type": "procedural", "when_to_use": "When performing bulk operations requiring valid authentication", "content": "Implement token refresh mechanisms when encountering 401 errors. Structure workflows to re-authenticate and re-execute critical operations when session tokens expire, ensuring uninterrupted execution of multi-step processes.", "score": 0, "time_created": "2025-11-08 20:23:04", "time_modified": "2025-11-08 20:23:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify", "when_to_use": "When performing bulk operations requiring valid authentication", "category": "success", "created_time": "2025-11-08 20:23:04", "modified_time": "2025-11-08 20:23:04", "generalized_query": "Execute multiple API requests requiring continuous authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "337d70f779c5487386fce78a1521bd5a", "memory_type": "procedural", "when_to_use": "When submitting final results, ensure output format matches expected type constraints", "content": "Convert non-serializable data types (sets) to acceptable formats (strings/lists) before task completion", "score": 0, "time_created": "2025-11-08 20:23:14", "time_modified": "2025-11-08 20:23:14", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify", "when_to_use": "When submitting final results, ensure output format matches expected type constraints", "category": "failure", "created_time": "2025-11-08 20:23:14", "modified_time": "2025-11-08 20:23:14", "generalized_query": "Provide curated artist lists from music metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "962a5c416fe1487b942a65e2c1f67096", "memory_type": "procedural", "when_to_use": "When retrieving artist data from Spotify's API based on genre filters", "content": "The higher-scoring approach succeeded by: 1) Correctly mapping API fields (using 'genre' instead of 'genres'), 2) Validating API existence before calls (using 'show_artist' instead of non-existent 'get_artist_details'), 3) Handling token expiration proactively, and 4) Converting sets to lists for JSON serialization. These steps avoided KeyErrors, API call failures, and format mismatches that caused the lower-scoring approach to fail.", "score": 0, "time_created": "2025-11-08 20:23:16", "time_modified": "2025-11-08 20:23:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all reggae-genre songs in any of my playlists on Spotify.", "when_to_use": "When retrieving artist data from Spotify's API based on genre filters", "category": "comparative", "created_time": "2025-11-08 20:23:16", "modified_time": "2025-11-08 20:23:16", "generalized_query": "Identify and follow artists associated with specific genres across user playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c43f309587b64b4bb097c30475e483a5", "memory_type": "procedural", "when_to_use": "When accessing file system APIs to retrieve or process files", "content": "Always verify API existence and documentation before making calls, and implement proper authentication handling for restricted endpoints", "score": 0, "time_created": "2025-11-08 20:23:34", "time_modified": "2025-11-08 20:23:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the total cost of my internet bills for this year? The bills are in '~/bills/' directory of my file system.", "when_to_use": "When accessing file system APIs to retrieve or process files", "category": "failure", "created_time": "2025-11-08 20:23:34", "modified_time": "2025-11-08 20:23:34", "generalized_query": "Calculate total cost of specific bills stored in a directory structure", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d5dd0a81beb44c4f9e46788f7932c9ff", "memory_type": "procedural", "when_to_use": "When accessing external systems or APIs to retrieve files or data", "content": "Always verify API existence and authentication requirements before attempting file system operations. Use proper credential retrieval workflows and validate file content parsing logic instead of assuming fixed values.", "score": 0, "time_created": "2025-11-08 20:23:29", "time_modified": "2025-11-08 20:23:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the total cost of my electricity bills for this year? The bills are in '~/bills/' directory of my file system.", "when_to_use": "When accessing external systems or APIs to retrieve files or data", "category": "failure", "created_time": "2025-11-08 20:23:29", "modified_time": "2025-11-08 20:23:29", "generalized_query": "Calculate total cost of specific bills stored in a directory structure", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a3e66b2c24124bbb8304199dffaaeefc", "memory_type": "procedural", "when_to_use": "When accessing external APIs or integrating third-party services", "content": "Always verify API method existence and parameter requirements before execution to avoid runtime errors", "score": 0, "time_created": "2025-11-08 20:23:23", "time_modified": "2025-11-08 20:23:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When accessing external APIs or integrating third-party services", "category": "failure", "created_time": "2025-11-08 20:23:23", "modified_time": "2025-11-08 20:23:23", "generalized_query": "Retrieve artist information from music data sources based on genre filters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4a654fb9487440f28c212f160f24ef02", "memory_type": "procedural", "when_to_use": "When submitting structured outputs to task supervisors", "content": "Validate output formats against expected data types (e.g., convert lists to strings for compatibility)", "score": 0, "time_created": "2025-11-08 20:23:23", "time_modified": "2025-11-08 20:23:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When submitting structured outputs to task supervisors", "category": "failure", "created_time": "2025-11-08 20:23:23", "modified_time": "2025-11-08 20:23:23", "generalized_query": "Format outputs according to system-specific validation rules", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e16d854af6e245a9bab8f1b6652c044e", "memory_type": "procedural", "when_to_use": "When automating interactions with music platforms like Spotify to follow artists based on genre-specific criteria", "content": "The successful execution relied on: 1) Authenticating via password retrieval and token acquisition, 2) Systematically collecting song-artists relationships from playlists, 3) Filtering artists by genre through iterative API queries, 4) Applying bulk follow actions using direct API endpoints. The key pattern was chaining data aggregation (playlists → songs → artists) with targeted filtering and bulk operations.", "score": 0, "time_created": "2025-11-08 20:23:28", "time_modified": "2025-11-08 20:23:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all artists of all indie-genre songs in any of my playlists on Spotify", "when_to_use": "When automating interactions with music platforms like Spotify to follow artists based on genre-specific criteria", "category": "success", "created_time": "2025-11-08 20:23:28", "modified_time": "2025-11-08 20:23:28", "generalized_query": "Follow artists associated with specific genres across user playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "cd7ed3db57d94c5c9968929ffdba2c18", "memory_type": "procedural", "when_to_use": "When interacting with file systems via APIs, especially after encountering permission or authentication errors", "content": "Always verify API availability and authentication requirements before executing file operations. Use 'show_directory' instead of deprecated methods and ensure proper session management for authorized access.", "score": 0, "time_created": "2025-11-08 20:23:53", "time_modified": "2025-11-08 20:23:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the total cost of my cable bills for this year? The bills are in '~/bills/' directory of my file system.", "when_to_use": "When interacting with file systems via APIs, especially after encountering permission or authentication errors", "category": "failure", "created_time": "2025-11-08 20:23:53", "modified_time": "2025-11-08 20:23:53", "generalized_query": "Access and process files in a specific directory to calculate total costs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2200da966080494bb51237f8982f5137", "memory_type": "procedural", "when_to_use": "When extracting credentials from password stores", "content": "Use iterative loops instead of list comprehensions for credential extraction when facing syntax limitations. Validate dictionary structures before accessing nested keys.", "score": 0, "time_created": "2025-11-08 20:23:53", "time_modified": "2025-11-08 20:23:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the total cost of my cable bills for this year? The bills are in '~/bills/' directory of my file system.", "when_to_use": "When extracting credentials from password stores", "category": "failure", "created_time": "2025-11-08 20:23:53", "modified_time": "2025-11-08 20:23:53", "generalized_query": "Retrieve stored credentials for API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "bd39c4333f1744bc844f7d599d9a97c2", "memory_type": "procedural", "when_to_use": "When extracting numerical values from text-based file contents", "content": "Effective technique: 1) Using string splitting to locate target fields (e.g., 'Total Amount => '), 2) Implementing currency symbol removal ($), 3) Converting extracted strings to floating point numbers. This approach ensures reliable numerical extraction from formatted text content.", "score": 0, "time_created": "2025-11-08 20:23:56", "time_modified": "2025-11-08 20:23:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the total cost of my cable bills for this year? The bills are in '~/bills/' directory of my file system.", "when_to_use": "When extracting numerical values from text-based file contents", "category": "success", "created_time": "2025-11-08 20:23:56", "modified_time": "2025-11-08 20:23:56", "generalized_query": "Summarize numerical data from text files", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7678a54803a4489794a62f982db0265d", "memory_type": "procedural", "when_to_use": "When interacting with file systems via APIs, especially when handling directory operations", "content": "Always verify API parameter requirements (e.g., 'directory_path' vs 'path') and ensure proper authentication tokens are included in all requests", "score": 0, "time_created": "2025-11-08 20:24:15", "time_modified": "2025-11-08 20:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When interacting with file systems via APIs, especially when handling directory operations", "category": "failure", "created_time": "2025-11-08 20:24:15", "modified_time": "2025-11-08 20:24:15", "generalized_query": "Organize files in a directory by categorizing them into subdirectories based on metadata patterns", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "fd923613740841ffa1d8cf26a934e74e", "memory_type": "procedural", "when_to_use": "When moving files between locations in a file system", "content": "Ensure source files exist and destination paths are valid files (with extensions) before initiating moves; use overwrite flags for existing files", "score": 0, "time_created": "2025-11-08 20:24:15", "time_modified": "2025-11-08 20:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move files to their respective directories while maintaining original filenames", "when_to_use": "When moving files between locations in a file system", "category": "failure", "created_time": "2025-11-08 20:24:15", "modified_time": "2025-11-08 20:24:15", "generalized_query": "Transfer files between directories while preserving filename integrity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "655bf6a4df4d4d049a8cd4f59c994bda", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication, especially in environments where header-based authorization is not supported.", "content": "Always verify API authentication requirements and parameter expectations by consulting the API documentation. Use designated authentication parameters (e.g., 'access_token') rather than relying on header-based authorization if the API does not support it.", "score": 0, "time_created": "2025-11-08 20:24:08", "time_modified": "2025-11-08 20:24:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations.", "when_to_use": "When interacting with APIs that require authentication, especially in environments where header-based authorization is not supported.", "category": "failure", "created_time": "2025-11-08 20:24:08", "modified_time": "2025-11-08 20:24:08", "generalized_query": "Organize files in a directory into subdirectories based on metadata or naming conventions.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "94ee1d65d9e545ada320f9c4f0199a93", "memory_type": "procedural", "when_to_use": "When organizing files based on metadata like creation dates or directory structures", "content": "Always verify file existence and current location before performing move operations to avoid attempting to move non-existent or already relocated files.", "score": 0, "time_created": "2025-11-08 20:24:13", "time_modified": "2025-11-08 20:24:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations. The files created in February and March of this year correspond to Petra and Budapest, respectively, while the others are from Amsterdam. Move them into sub-directories named after their respective vacation spots, maintaining the original file names.", "when_to_use": "When organizing files based on metadata like creation dates or directory structures", "category": "failure", "created_time": "2025-11-08 20:24:13", "modified_time": "2025-11-08 20:24:13", "generalized_query": "Organize files in a directory into subdirectories based on metadata (e.g., creation date) and specific criteria (e.g., month, location).", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b1b43ff356ef4e53a793d2a0719e3956", "memory_type": "procedural", "when_to_use": "When working with restricted APIs that do not allow standard OS modules", "content": "Rely exclusively on the allowed APIs for file operations and avoid using prohibited modules like 'os' to prevent runtime errors.", "score": 0, "time_created": "2025-11-08 20:24:13", "time_modified": "2025-11-08 20:24:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations...", "when_to_use": "When working with restricted APIs that do not allow standard OS modules", "category": "failure", "created_time": "2025-11-08 20:24:13", "modified_time": "2025-11-08 20:24:13", "generalized_query": "Perform file operations in an environment where standard OS modules (e.g., os, shutil) are restricted.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b46537514b4c49099fb40a581bc42b40", "memory_type": "procedural", "when_to_use": "When organizing files based on metadata-driven categorization (e.g., dates, creation times)", "content": "Successful execution relied on: 1) Authenticating via supervisor app to obtain file system access token, 2) Using file metadata (creation_date) instead of filename patterns for accurate date parsing, 3) Mapping parsed dates to vacation locations with explicit year validation, 4) Leveraging API-specific parameters (access_token, overwrite flags) for file operations", "score": 0, "time_created": "2025-11-08 20:24:19", "time_modified": "2025-11-08 20:24:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory by organizing the photos from three vacations. The files created in January and April of this year correspond to Athens and Seoul, respectively, while the others are from Paris. Move them into sub-directories named after their respective vacation spots, maintaining the original file names.", "when_to_use": "When organizing files based on metadata-driven categorization (e.g., dates, creation times)", "category": "success", "created_time": "2025-11-08 20:24:19", "modified_time": "2025-11-08 20:24:19", "generalized_query": "Categorize and relocate files into destination-specific directories based on metadata (e.g., creation dates) and predefined mappings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3c02c278dfb64562b10777681fd820af", "memory_type": "procedural", "when_to_use": "When dealing with API rate limiting or authentication requirements", "content": "Critical success factors included: 1) Using supervisor app to retrieve credentials programmatically, 2) Validating API responses for authentication status, 3) Including access_token parameter in all API requests, 4) Implementing error handling for 401/422 responses through iterative debugging", "score": 0, "time_created": "2025-11-08 20:24:19", "time_modified": "2025-11-08 20:24:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange my '~/photographs/vacations/' directory...", "when_to_use": "When dealing with API rate limiting or authentication requirements", "category": "success", "created_time": "2025-11-08 20:24:19", "modified_time": "2025-11-08 20:24:19", "generalized_query": "Perform file operations in an environment with API authentication requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "5a903c0b83b54c47a5f153c292ec65a0", "memory_type": "procedural", "when_to_use": "When filtering songs based on release year in Spotify", "content": "The higher-scoring approach succeeded by accurately identifying release years via the 'show_song' API instead of relying on flawed 'added_at' timestamps. It implemented robust validation (checking song ID existence, type conversion) and handled pagination properly, whereas the lower-scoring approach used incorrect metadata fields and lacked error mitigation for incomplete data.", "score": 0, "time_created": "2025-11-08 20:24:57", "time_modified": "2025-11-08 20:24:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When filtering songs based on release year in Spotify", "category": "comparative", "created_time": "2025-11-08 20:24:57", "modified_time": "2025-11-08 20:24:57", "generalized_query": "Filter and remove media items older than a specific date from a digital library and associated collections", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "949f213b9b3b4449a09bb43a956a4e6b", "memory_type": "procedural", "when_to_use": "When performing actions that require API task completion after processing", "content": "Always use proper API completion functions instead of print statements for task termination. Verify syntax validity for all executable lines, especially in final steps.", "score": 0, "time_created": "2025-11-08 20:24:48", "time_modified": "2025-11-08 20:24:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When performing actions that require API task completion after processing", "category": "failure", "created_time": "2025-11-08 20:24:48", "modified_time": "2025-11-08 20:24:48", "generalized_query": "Remove items from a music library and associated playlists based on release date criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "14a8a6afe3fd44069b0a2806318c36b1", "memory_type": "procedural", "when_to_use": "When handling date-based filtering operations", "content": "Use string splitting and numeric comparison carefully for date fields. Validate date formats before performing comparisons.", "score": 0, "time_created": "2025-11-08 20:24:48", "time_modified": "2025-11-08 20:24:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released after 2021 year.", "when_to_use": "When handling date-based filtering operations", "category": "failure", "created_time": "2025-11-08 20:24:48", "modified_time": "2025-11-08 20:24:48", "generalized_query": "Filter and remove elements based on temporal criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "33039a9992a54edbb4beea770b6c17a2", "memory_type": "procedural", "when_to_use": "When filtering songs based on release dates in Spotify", "content": "The higher-scoring approach succeeded by: 1) Correctly identifying the 'show_song_library' API for song retrieval, 2) Using 'release_date' from song details rather than 'added_at' for accurate filtering, 3) Implementing nested API calls to get song metadata for precise date validation. The lower-scoring approach failed due to incorrect field assumptions ('added_at') and persistent syntax errors in task completion.", "score": 0, "time_created": "2025-11-08 20:24:49", "time_modified": "2025-11-08 20:24:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When filtering songs based on release dates in Spotify", "category": "comparative", "created_time": "2025-11-08 20:24:49", "modified_time": "2025-11-08 20:24:49", "generalized_query": "Filter and remove music library items based on release date criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2b96f6f6ecaf4a11aafa1ab5ab3e4256", "memory_type": "procedural", "when_to_use": "When handling dynamic API responses with missing fields", "content": "The higher-scoring approach demonstrated resilience by: 1) Verifying field existence through API documentation, 2) Dynamically adapting to schema changes (e.g., using 'release_date' instead of 'release_year'), 3) Implementing fallback mechanisms for data parsing. The lower-scoring approach failed due to rigid assumptions about data structure and lack of schema validation.", "score": 0, "time_created": "2025-11-08 20:24:49", "time_modified": "2025-11-08 20:24:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When handling dynamic API responses with missing fields", "category": "comparative", "created_time": "2025-11-08 20:24:49", "modified_time": "2025-11-08 20:24:49", "generalized_query": "Process API data with evolving schema requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "dcb67fe761154690871b251ff102a539", "memory_type": "procedural", "when_to_use": "When implementing task completion in automation workflows", "content": "Ensure completion functions receive proper parameters (e.g., operation results) and handle edge cases like empty result sets gracefully", "score": 0, "time_created": "2025-11-08 20:25:01", "time_modified": "2025-11-08 20:25:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released before 2021 year.", "when_to_use": "When implementing task completion in automation workflows", "category": "failure", "created_time": "2025-11-08 20:25:01", "modified_time": "2025-11-08 20:25:01", "generalized_query": "Execute final task completion in automated processes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "5399d03889f049d08e60235f92156f0c", "memory_type": "procedural", "when_to_use": "When filtering items in a music library based on release dates or other metadata not directly available in initial listings", "content": "Successfully removed old songs by first verifying available APIs, then using nested API calls to access detailed metadata (e.g., release_date) when required. Key steps included: 1) Using show_song_library instead of non-existent show_songs API 2) Fetching song details via show_song() to extract release_year from release_date 3) Accessing playlist songs through show_playlist() rather than direct show_playlist_songs() 4) Implementing pagination for both songs and playlists", "score": 0, "time_created": "2025-11-08 20:25:00", "time_modified": "2025-11-08 20:25:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When filtering items in a music library based on release dates or other metadata not directly available in initial listings", "category": "success", "created_time": "2025-11-08 20:25:00", "modified_time": "2025-11-08 20:25:00", "generalized_query": "Filter and remove items from a music library based on metadata criteria such as release dates", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3f9010057f274856812f0527faaaf455", "memory_type": "procedural", "when_to_use": "When handling pagination in API requests for large datasets", "content": "Implement robust pagination handling with error recovery when fetching large datasets, as incomplete pages may lead to missed items during filtering operations.", "score": 0, "time_created": "2025-11-08 20:25:16", "time_modified": "2025-11-08 20:25:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove all songs from my Spotify song library and playlists that were released in or before 2021 year.", "when_to_use": "When handling pagination in API requests for large datasets", "category": "failure", "created_time": "2025-11-08 20:25:16", "modified_time": "2025-11-08 20:25:16", "generalized_query": "Process paginated API responses for bulk operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "bb3028b4f08a4ae58014b657e12458f9", "memory_type": "procedural", "when_to_use": "When interacting with external APIs to retrieve or manipulate data", "content": "Always verify API existence and structure before making calls; use defensive programming to handle missing keys/attributes in responses", "score": 0, "time_created": "2025-11-08 20:25:13", "time_modified": "2025-11-08 20:25:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When interacting with external APIs to retrieve or manipulate data", "category": "failure", "created_time": "2025-11-08 20:25:13", "modified_time": "2025-11-08 20:25:13", "generalized_query": "Retrieve and execute a pre-defined plan from a notes app to control a music streaming service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ee8270c89d2245b18b4fb216f47f88da", "memory_type": "procedural", "when_to_use": "When accessing sensitive credentials or tokens", "content": "Implement secure credential retrieval patterns using supervised account password stores and avoid hardcoding credentials", "score": 0, "time_created": "2025-11-08 20:25:13", "time_modified": "2025-11-08 20:25:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today...", "when_to_use": "When accessing sensitive credentials or tokens", "category": "failure", "created_time": "2025-11-08 20:25:13", "modified_time": "2025-11-08 20:25:13", "generalized_query": "Access application credentials across multiple services for automation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e1057cb423b644f88968ad00e9c10435", "memory_type": "procedural", "when_to_use": "When integrating multiple APIs for task automation", "content": "The higher-scoring approach succeeded by systematically handling authentication, validating API tokens, and using precise API methods. It first retrieved the workout plan from Simple Note, calculated required duration, and then found a matching Spotify playlist. The lower-scoring approach failed due to improper token handling, incorrect API method calls, and lack of error recovery for authentication failures.", "score": 0, "time_created": "2025-11-08 20:25:41", "time_modified": "2025-11-08 20:25:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When integrating multiple APIs for task automation", "category": "comparative", "created_time": "2025-11-08 20:25:41", "modified_time": "2025-11-08 20:25:41", "generalized_query": "Automate playlist playback based on external workout data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "285461208d764bc79c2bd16c7ca9a803", "memory_type": "procedural", "when_to_use": "When interacting with external APIs requiring authentication", "content": "Always verify API endpoint existence and validate authentication tokens before making requests to avoid 401 Unauthorized errors", "score": 0, "time_created": "2025-11-08 20:25:51", "time_modified": "2025-11-08 20:25:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When interacting with external APIs requiring authentication", "category": "failure", "created_time": "2025-11-08 20:25:51", "modified_time": "2025-11-08 20:25:51", "generalized_query": "Automate playlist creation across services using data from external notes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2dc371e46dd84fa5b509da572e1a9442", "memory_type": "procedural", "when_to_use": "When interacting with external APIs to retrieve or manipulate data (e.g., notes, playlists)", "content": "Always verify API method existence and parameter requirements before invocation, and handle authentication contextually rather than hardcoding credentials", "score": 0, "time_created": "2025-11-08 20:25:46", "time_modified": "2025-11-08 20:25:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start playing a playlist on Spotify that has enough songs for my workout today. I do not want to have to change the playlist in the middle of my workout. The workout plan is in Simple Note.", "when_to_use": "When interacting with external APIs to retrieve or manipulate data (e.g., notes, playlists)", "category": "failure", "created_time": "2025-11-08 20:25:46", "modified_time": "2025-11-08 20:25:46", "generalized_query": "Automate creation and playback of a curated playlist based on a structured plan stored in a notes app", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2e31be5ac69c4eabbbd10116f98c4650", "memory_type": "procedural", "when_to_use": "When filtering items based on multiple criteria (e.g., liked and downloaded status) in a library cleanup task", "content": "The higher-scoring approach used set operations for efficient membership testing (O(1) lookup) instead of nested loops (O(n^2)), enabling faster validation of song/album eligibility. This allowed the system to handle empty result sets gracefully and proceed to the next logical step (album validation) without blocking progress.", "score": 0, "time_created": "2025-11-08 20:26:02", "time_modified": "2025-11-08 20:26:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Keep only those songs and albums in my song and album library, respectively, that I have liked and downloaded", "when_to_use": "When filtering items based on multiple criteria (e.g., liked and downloaded status) in a library cleanup task", "category": "comparative", "created_time": "2025-11-08 20:26:02", "modified_time": "2025-11-08 20:26:02", "generalized_query": "Filter library items based on combined criteria of user preference and download status", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8c6d00ad955c42ecb3b25ea8754b66f5", "memory_type": "procedural", "when_to_use": "When implementing conditional removal operations in API workflows", "content": "Validate the existence of target items before invoking removal operations to prevent API method errors", "score": 0, "time_created": "2025-11-08 20:26:02", "time_modified": "2025-11-08 20:26:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Remove songs and albums that are not liked and downloaded", "when_to_use": "When implementing conditional removal operations in API workflows", "category": "failure", "created_time": "2025-11-08 20:26:02", "modified_time": "2025-11-08 20:26:02", "generalized_query": "Conditional removal of items based on multiple validation criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "606998c3c99e4b89af8b9514c1454c1e", "memory_type": "procedural", "when_to_use": "When interacting with file systems via APIs that require authentication", "content": "Always verify API endpoint requirements for parameters like directory paths and authentication tokens. Use absolute paths instead of tilde expansions and ensure proper token inclusion in all requests", "score": 0, "time_created": "2025-11-08 20:26:31", "time_modified": "2025-11-08 20:26:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Compress ~/photographs/vacations/<vacation_spot> directories into ZIP files and delete original directories", "when_to_use": "When interacting with file systems via APIs that require authentication", "category": "failure", "created_time": "2025-11-08 20:26:31", "modified_time": "2025-11-08 20:26:31", "generalized_query": "Compress specific directories into archives and clean up original folders using file system APIs", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "58be10c439d645098dba77a7e7052f2f", "memory_type": "procedural", "when_to_use": "When dealing with nested directory structures and file compression tasks", "content": "Effective pattern: 1) Identify target directories via recursive listing and filtering 2) Generate output paths based on directory names 3) Use API-specific parameters (like overwrite=True) to handle edge cases 4) Perform cleanup after successful compression. This approach ensures atomic operations and maintains data integrity.", "score": 0, "time_created": "2025-11-08 20:26:33", "time_modified": "2025-11-08 20:26:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Compress ~/photographs/vacations/<vacation_spot> sub-directories into ZIP files and delete original directories", "when_to_use": "When dealing with nested directory structures and file compression tasks", "category": "success", "created_time": "2025-11-08 20:26:33", "modified_time": "2025-11-08 20:26:33", "generalized_query": "Archive named subdirectories into format-specific containers while maintaining directory structure integrity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b10fc00e66894b74b41c879871b75a07", "memory_type": "procedural", "when_to_use": "When filtering items based on user interaction metrics (likes/downloads) in a library cleanup task", "content": "The higher-scoring approach used set-based lookups for O(1) membership testing, properly handled nested data structures for album validation, and avoided data type mismatches. The lower-scoring approach failed due to incorrect assumptions about data structures (e.g., using 'playlist_id' instead of song relationships) and improper error handling for invalid operations.", "score": 0, "time_created": "2025-11-08 20:26:36", "time_modified": "2025-11-08 20:26:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest.", "when_to_use": "When filtering items based on user interaction metrics (likes/downloads) in a library cleanup task", "category": "comparative", "created_time": "2025-11-08 20:26:36", "modified_time": "2025-11-08 20:26:36", "generalized_query": "Filter library items based on user interaction criteria (e.g., likes, downloads) while maintaining relationship constraints (e.g., albums requiring all songs to meet criteria)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "be447b395bc8433a936efdefe6a1e817", "memory_type": "procedural", "when_to_use": "When dealing with API responses that may contain unexpected data types or structures.", "content": "Implement type-checking and structure validation (e.g., verifying dictionary keys) for all API responses before using their contents in computations.", "score": 0, "time_created": "2025-11-08 20:26:30", "time_modified": "2025-11-08 20:26:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Keep only songs and albums I have liked or downloaded in Spotify, removing the rest.", "when_to_use": "When dealing with API responses that may contain unexpected data types or structures.", "category": "failure", "created_time": "2025-11-08 20:26:30", "modified_time": "2025-11-08 20:26:30", "generalized_query": "Process API-derived data with type-aware validation to prevent runtime errors.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a0b8cd0187a34210b75a10f5ec04105c", "memory_type": "procedural", "when_to_use": "When performing library cleanup tasks on Spotify", "content": "Use 'remove_song_from_library' and 'remove_album_from_library' APIs with condition checks for likes/downloads before deletion", "score": 0, "time_created": "2025-11-08 20:26:28", "time_modified": "2025-11-08 20:26:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Cleanup my Spotify libraries. Keep only those songs and albums in my song and album library, respectively, that I have liked or downloaded, and remove the rest. An album is downloaded if all songs in it are downloaded. Keep my playlist library as is for now.", "when_to_use": "When performing library cleanup tasks on Spotify", "category": "failure", "created_time": "2025-11-08 20:26:28", "modified_time": "2025-11-08 20:26:28", "generalized_query": "Filter and retain only liked or downloaded items in music library", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7288ae6ff04f4c648086fa0eff414694", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication, always verify the necessary credentials and token validity before making requests.", "content": "Authorization failures often stem from missing or invalid tokens; ensure proper authentication mechanisms are in place when accessing protected APIs.", "score": 0, "time_created": "2025-11-08 20:26:43", "time_modified": "2025-11-08 20:26:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Get the list of sub-directories in the '~/photos/' directory using the file_system app.", "when_to_use": "When interacting with APIs that require authentication, always verify the necessary credentials and token validity before making requests.", "category": "failure", "created_time": "2025-11-08 20:26:43", "modified_time": "2025-11-08 20:26:43", "generalized_query": "Retrieve directory contents from a specified path using a file system API.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ed4014d014d643eab89b90895e1222a4", "memory_type": "procedural", "when_to_use": "When processing directory structures, explicitly filter for sub-directories after retrieving directory listings.", "content": "Raw directory listings include files and folders; implement filtering logic to isolate sub-directories before performing operations like compression.", "score": 0, "time_created": "2025-11-08 20:26:43", "time_modified": "2025-11-08 20:26:43", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Compress and archive vacation spot sub-directories into tar files.", "when_to_use": "When processing directory structures, explicitly filter for sub-directories after retrieving directory listings.", "category": "failure", "created_time": "2025-11-08 20:26:43", "modified_time": "2025-11-08 20:26:43", "generalized_query": "Process hierarchical directory structures for batch operations.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ae4c479ea57c46278c230f3eeac4072c", "memory_type": "procedural", "when_to_use": "When creating playlists based on dynamic recommendations or filtering content by genre and release date", "content": "The higher-scoring approach succeeded by directly using the show_recommendations API with proper authentication, while the lower-scoring attempt failed due to missing access token parameters and reliance on incomplete playlist searches. Proper token inclusion and direct API usage for recommendations created a more efficient workflow", "score": 0, "time_created": "2025-11-08 20:27:32", "time_modified": "2025-11-08 20:27:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new \"Spotify R&B Recommendations\" playlist.", "when_to_use": "When creating playlists based on dynamic recommendations or filtering content by genre and release date", "category": "comparative", "created_time": "2025-11-08 20:27:32", "modified_time": "2025-11-08 20:27:32", "generalized_query": "Curate a genre-specific playlist using platform-native recommendation APIs with temporal filters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "79b06c59805847b7b3e5751eb0c9b982", "memory_type": "procedural", "when_to_use": "When implementing API-based workflows requiring multiple-step operations", "content": "The higher-scoring approach demonstrated better error handling by explicitly including access tokens in all API calls, whereas the lower-scoring attempt failed due to missing authentication parameters. Sequential API calls with proper token management ensured successful execution of the entire workflow", "score": 0, "time_created": "2025-11-08 20:27:32", "time_modified": "2025-11-08 20:27:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended R&B songs released in this or last year to a new \"Spotify R&B Recommendations\" playlist.", "when_to_use": "When implementing API-based workflows requiring multiple-step operations", "category": "comparative", "created_time": "2025-11-08 20:27:32", "modified_time": "2025-11-08 20:27:32", "generalized_query": "Execute multi-stage API operations with proper authentication handling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8ef05c912a0d4ce68902756b982a4af0", "memory_type": "procedural", "when_to_use": "When performing file system operations requiring authentication and directory manipulation", "content": "Successful execution required: 1) Authenticating via login API with proper credentials, 2) Using access tokens for authorized API calls, 3) Iterating through directories with precise filtering, 4) Sequentially applying compression and deletion operations. The key was maintaining authentication context while processing each directory individually.", "score": 0, "time_created": "2025-11-08 20:27:13", "time_modified": "2025-11-08 20:27:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Compress vacation directories into ZIP files and delete original directories", "when_to_use": "When performing file system operations requiring authentication and directory manipulation", "category": "success", "created_time": "2025-11-08 20:27:13", "modified_time": "2025-11-08 20:27:13", "generalized_query": "Compress specific directories into archives and clean up original folders", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4efa1faa73544cada3674d4878d7462e", "memory_type": "procedural", "when_to_use": "When accessing protected API endpoints that require explicit authorization headers", "content": "The higher-scoring approach correctly included the access_token in API calls as required parameters, while the lower-scoring approach incorrectly attempted to use headers for token validation without understanding the API's authentication requirements. Proper parameter placement and understanding API documentation were critical to success", "score": 0, "time_created": "2025-11-08 20:27:22", "time_modified": "2025-11-08 20:27:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Compress them and save them in '~/pictures/vacations/<vacation_spot>.zip' for each vacation spot, and then delete all vacation spot sub-directories", "when_to_use": "When accessing protected API endpoints that require explicit authorization headers", "category": "comparative", "created_time": "2025-11-08 20:27:22", "modified_time": "2025-11-08 20:27:22", "generalized_query": "Securely access and manipulate directory structures with API authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "7a78d8d74d30408d9e2a1440b1f47d63", "memory_type": "procedural", "when_to_use": "When dealing with API authentication and parameter validation in automation workflows", "content": "The higher-scoring approach succeeded by systematically addressing authentication issues through password retrieval, validating API parameters (like page_limit), and properly handling access tokens. It demonstrated incremental problem-solving by first resolving login issues, then API endpoint limitations, and finally playlist creation requirements. The lower-scoring approach failed due to persistent authentication errors and lack of parameter validation, showing how minor implementation details can significantly impact success.", "score": 0, "time_created": "2025-11-08 20:27:33", "time_modified": "2025-11-08 20:27:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new \"R&B Recommendation\" playlist.", "when_to_use": "When dealing with API authentication and parameter validation in automation workflows", "category": "comparative", "created_time": "2025-11-08 20:27:33", "modified_time": "2025-11-08 20:27:33", "generalized_query": "Curate a music playlist using platform-specific recommendations with authentication and API parameter handling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "280043dd4cd543a3add56919161101d5", "memory_type": "procedural", "when_to_use": "When dealing with special characters in passwords", "content": "Use proper string formatting to handle special characters (e.g., escape backticks/quotes); validate password complexity requirements of the target service", "score": 0, "time_created": "2025-11-08 20:27:31", "time_modified": "2025-11-08 20:27:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended R&B songs released in this year to a new \"R&B Recommendation\" playlist.", "when_to_use": "When dealing with special characters in passwords", "category": "failure", "created_time": "2025-11-08 20:27:31", "modified_time": "2025-11-08 20:27:31", "generalized_query": "Handle password fields containing special characters in API requests", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "6eb4501d07ff4116aa3ba38b9208d1ed", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require OAuth2 authentication", "content": "Ensure access tokens are properly configured in API requests (e.g., headers) and verify endpoint availability before assuming API existence", "score": 0, "time_created": "2025-11-08 20:27:35", "time_modified": "2025-11-08 20:27:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended classical songs released in this year to a new 'Spotify Recommended Songs' playlist.", "when_to_use": "When interacting with APIs that require OAuth2 authentication", "category": "failure", "created_time": "2025-11-08 20:27:35", "modified_time": "2025-11-08 20:27:35", "generalized_query": "Automate playlist creation with filtered music recommendations from a music service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "082d36bf861d4f36af918ec04f9dfc90", "memory_type": "procedural", "when_to_use": "When creating resources via APIs (like playlists), ensure all required parameters (e.g., title) are provided and properly authenticated.", "content": "Always include required parameters (e.g., 'title') and pass authentication tokens as arguments when calling API methods that modify resources.", "score": 0, "time_created": "2025-11-08 20:27:30", "time_modified": "2025-11-08 20:27:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Add all spotify-recommended classical songs released in this year to a new \"Spotify Recommended Songs\" playlist.", "when_to_use": "When creating resources via APIs (like playlists), ensure all required parameters (e.g., title) are provided and properly authenticated.", "category": "failure", "created_time": "2025-11-08 20:27:30", "modified_time": "2025-11-08 20:27:30", "generalized_query": "Create and manage music playlists through an API with proper authentication and parameter validation.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a2bbbd3795194697aa545a0432242c96", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require idempotent operations (e.g., liking songs, updating preferences)", "content": "Always verify if an action (like liking a song) has already been performed before attempting it, and de-duplicate song IDs to avoid redundant operations", "score": 0, "time_created": "2025-11-08 20:28:05", "time_modified": "2025-11-08 20:28:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When interacting with APIs that require idempotent operations (e.g., liking songs, updating preferences)", "category": "failure", "created_time": "2025-11-08 20:28:05", "modified_time": "2025-11-08 20:28:05", "generalized_query": "Like all songs in a music player queue and associated playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b592c8061b5c4e5b9679c687c9f11b0b", "memory_type": "procedural", "when_to_use": "When automating Spotify queue interactions requiring precise API alignment", "content": "The higher-scoring approach succeeded by systematically discovering the correct API ('show_song_queue') through documentation inspection, while the lower-scoring approach failed due to task misalignment - it counted playlists instead of modifying queue songs. Proper API discovery and strict adherence to the original task query were critical factors.", "score": 0, "time_created": "2025-11-08 20:28:06", "time_modified": "2025-11-08 20:28:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When automating Spotify queue interactions requiring precise API alignment", "category": "comparative", "created_time": "2025-11-08 20:28:06", "modified_time": "2025-11-08 20:28:06", "generalized_query": "Interact with Spotify music player queue to modify song metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8caa34e598f243eda1bea1705609d065", "memory_type": "procedural", "when_to_use": "When handling authentication flows with sensitive credentials", "content": "The higher-scoring approach demonstrated better credential management by first retrieving the password via supervisor API before login, whereas the lower-scoring approach directly used stored credentials. This highlights the importance of secure credential handling and using intermediary services for sensitive information.", "score": 0, "time_created": "2025-11-08 20:28:06", "time_modified": "2025-11-08 20:28:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When handling authentication flows with sensitive credentials", "category": "comparative", "created_time": "2025-11-08 20:28:06", "modified_time": "2025-11-08 20:28:06", "generalized_query": "Perform authenticated operations on music streaming platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4507ec0f23b545a6901750c95ef484a9", "memory_type": "procedural", "when_to_use": "When the task requires direct interaction with a music queue or playlist", "content": "The higher-scoring approach directly manipulated the song queue using targeted APIs (show_song_queue, like_song) to achieve the task goal. The lower-scoring approach incorrectly focused on playlist data aggregation rather than queue modification, leading to task misalignment. The critical difference was executing the 'like' action on queue items versus collecting metadata from playlists.", "score": 0, "time_created": "2025-11-08 20:28:10", "time_modified": "2025-11-08 20:28:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Like all the songs played so far in my spotify music player queue, including the current one.", "when_to_use": "When the task requires direct interaction with a music queue or playlist", "category": "comparative", "created_time": "2025-11-08 20:28:10", "modified_time": "2025-11-08 20:28:10", "generalized_query": "Perform bulk interaction with a music queue or playlist items", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "89aae66d97e84d8b8242cdd28a3b4995", "memory_type": "procedural", "when_to_use": "When handling payment requests and needing to modify or cancel them", "content": "Deny or delete payment requests only if they are unapproved; once approved, use refund mechanisms instead", "score": 0, "time_created": "2025-11-08 20:28:15", "time_modified": "2025-11-08 20:28:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Send money back to Robert after an accidental Venmo payment", "when_to_use": "When handling payment requests and needing to modify or cancel them", "category": "failure", "created_time": "2025-11-08 20:28:15", "modified_time": "2025-11-08 20:28:15", "generalized_query": "Revoke or reverse an approved payment request", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d6ceefd91cab420ab95cf32551ba8bb1", "memory_type": "procedural", "when_to_use": "When accessing external services like phone apps for communication", "content": "Ensure proper authentication and verify contact data exists in the target service before attempting to send messages", "score": 0, "time_created": "2025-11-08 20:28:15", "time_modified": "2025-11-08 20:28:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Call Robert to request a refund via phone", "when_to_use": "When accessing external services like phone apps for communication", "category": "failure", "created_time": "2025-11-08 20:28:15", "modified_time": "2025-11-08 20:28:15", "generalized_query": "Retrieve contact information from a linked service to initiate communication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e1f9a301e2774f2982aabc794229c770", "memory_type": "procedural", "when_to_use": "When accessing protected API endpoints like Venmo or Phone services", "content": "Always verify API authentication tokens are valid and properly scoped before making requests to protected endpoints", "score": 0, "time_created": "2025-11-08 20:28:47", "time_modified": "2025-11-08 20:28:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Send money back to Cory after an accidental Venmo payment", "when_to_use": "When accessing protected API endpoints like Venmo or Phone services", "category": "failure", "created_time": "2025-11-08 20:28:47", "modified_time": "2025-11-08 20:28:47", "generalized_query": "Recover funds from an unintended payment request to a specific recipient", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1b207d74dd144646bf1f29ac2203b64d", "memory_type": "procedural", "when_to_use": "When searching for user information across multiple data sources", "content": "Implement fallback search strategies combining name, email, and phone number checks with proper error handling for missing data", "score": 0, "time_created": "2025-11-08 20:28:47", "time_modified": "2025-11-08 20:28:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Find Cory's contact information to refund an accidental payment", "when_to_use": "When searching for user information across multiple data sources", "category": "failure", "created_time": "2025-11-08 20:28:47", "modified_time": "2025-11-08 20:28:47", "generalized_query": "Locate user information using limited identifying details", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1787a85b3f1244a5a36d44b650e459f3", "memory_type": "procedural", "when_to_use": "When modifying payment request states", "content": "Check the payment request's current status (e.g., 'approved_at' or 'denied_at') before attempting to modify it. Use the appropriate endpoint based on the platform's API design (e.g., PATCH for updates, POST for denials).", "score": 0, "time_created": "2025-11-08 20:28:53", "time_modified": "2025-11-08 20:28:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Deny a previously sent payment request", "when_to_use": "When modifying payment request states", "category": "failure", "created_time": "2025-11-08 20:28:53", "modified_time": "2025-11-08 20:28:53", "generalized_query": "Modify the state of a payment request (approve/deny)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "009f2c58134947308f7fef0962fab63a", "memory_type": "procedural", "when_to_use": "When authenticating to APIs requiring access tokens, especially after initial login failures", "content": "The higher-scoring approach succeeded by correctly obtaining and using an access token after resolving authentication issues, while the lower-scoring approach failed due to repeated credential errors and missing token usage. Proper error handling and token management were critical for successful API interactions.", "score": 0, "time_created": "2025-11-08 20:28:53", "time_modified": "2025-11-08 20:28:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When authenticating to APIs requiring access tokens, especially after initial login failures", "category": "comparative", "created_time": "2025-11-08 20:28:53", "modified_time": "2025-11-08 20:28:53", "generalized_query": "Delete spam messages from a specific phone number using authenticated API calls", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "784975a836cd4e65a7a72e1426b5340e", "memory_type": "procedural", "when_to_use": "When retrieving sensitive account information", "content": "Password retrieval from supervisor accounts may require additional authorization layers. Direct password usage often fails due to encryption, token requirements, or permission constraints", "score": 0, "time_created": "2025-11-08 20:28:56", "time_modified": "2025-11-08 20:28:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When retrieving sensitive account information", "category": "failure", "created_time": "2025-11-08 20:28:56", "modified_time": "2025-11-08 20:28:56", "generalized_query": "Access account-specific data across multiple systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "893a7a172ec24cf0a78d049d40aa378d", "memory_type": "procedural", "when_to_use": "When extracting data from structured lists", "content": "Use safe list comprehension syntax and validate data structures before accessing nested elements to avoid TypeErrors", "score": 0, "time_created": "2025-11-08 20:28:53", "time_modified": "2025-11-08 20:28:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 3654328626 are spam, delete them.", "when_to_use": "When extracting data from structured lists", "category": "failure", "created_time": "2025-11-08 20:28:53", "modified_time": "2025-11-08 20:28:53", "generalized_query": "Retrieve and process data from account management systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1275add4f6a342b0ada2b9bb6e967f41", "memory_type": "procedural", "when_to_use": "When initiating a refund for an accidental payment via Venmo or similar platforms", "content": "Successfully refunded an accidental payment by first authenticating via API, filtering approved payment requests, and creating a transaction with the correct positive amount. Key steps included handling authentication errors, validating transaction parameters (e.g., positive amounts), and leveraging API endpoints for payment request management.", "score": 0, "time_created": "2025-11-08 20:28:42", "time_modified": "2025-11-08 20:28:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Send them the money back.", "when_to_use": "When initiating a refund for an accidental payment via Venmo or similar platforms", "category": "success", "created_time": "2025-11-08 20:28:42", "modified_time": "2025-11-08 20:28:42", "generalized_query": "Refund an accidental payment to a specific recipient", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ad48a9a41d4543d4a01bf75a05aad740", "memory_type": "procedural", "when_to_use": "When extracting sensitive data like passwords from external stores", "content": "Use proper list comprehensions and filtering to extract specific entries, avoiding type errors from misstructured queries.", "score": 0, "time_created": "2025-11-08 20:29:00", "time_modified": "2025-11-08 20:29:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retrieve Venmo account password from supervisor API", "when_to_use": "When extracting sensitive data like passwords from external stores", "category": "failure", "created_time": "2025-11-08 20:29:00", "modified_time": "2025-11-08 20:29:00", "generalized_query": "Access credential stores for authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "06e99694ce6045e78a5a28949f77c38a", "memory_type": "procedural", "when_to_use": "When encountering 422 errors during API operations", "content": "Validate the operation's eligibility (e.g., request status, user permissions) before invoking API actions to avoid invalid operation errors.", "score": 0, "time_created": "2025-11-08 20:29:00", "time_modified": "2025-11-08 20:29:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Deny a payment request", "when_to_use": "When encountering 422 errors during API operations", "category": "failure", "created_time": "2025-11-08 20:29:00", "modified_time": "2025-11-08 20:29:00", "generalized_query": "Modify Venmo payment requests", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "689a5cddef254d0799231b4ef87bba85", "memory_type": "procedural", "when_to_use": "When needing to delete all messages (text/voice) from a specific phone number in a phone app with API-based management", "content": "The successful execution involved three key patterns: 1) Authenticating with proper credentials via supervisor-accessed passwords, 2) Using pagination parameters (page_index/page_limit) to retrieve all messages despite API limits, 3) Systematically deleting each message via individual API calls after full retrieval. The combination of API documentation analysis, error handling for authentication, and iterative processing enabled complete deletion of spam content.", "score": 0, "time_created": "2025-11-08 20:29:03", "time_modified": "2025-11-08 20:29:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When needing to delete all messages (text/voice) from a specific phone number in a phone app with API-based management", "category": "success", "created_time": "2025-11-08 20:29:03", "modified_time": "2025-11-08 20:29:03", "generalized_query": "Delete all communication records (text/voice) from a specified phone number in a phone application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ac687eabb1a14fda9512cf89238943bd", "memory_type": "procedural", "when_to_use": "When handling username/password authentication flows", "content": "Validate credentials against API-specific requirements (e.g., username format, password scope) rather than assuming generic account names", "score": 0, "time_created": "2025-11-08 20:29:05", "time_modified": "2025-11-08 20:29:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 9294880327 are spam, delete them.", "when_to_use": "When handling username/password authentication flows", "category": "failure", "created_time": "2025-11-08 20:29:05", "modified_time": "2025-11-08 20:29:05", "generalized_query": "Authenticate to a service using username/password credentials", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b6ec6ca2ba1d4be8b2b5347498c57b41", "memory_type": "procedural", "when_to_use": "When authenticating to access restricted APIs like phone message management", "content": "The higher-scoring approach succeeded by first obtaining valid authentication credentials through the supervisor app, then systematically using access tokens for API calls. The lower-scoring approach failed due to incorrect password handling and lack of token management, resulting in repeated 401 errors. Proper authentication flow and token persistence were critical for successful message deletion.", "score": 0, "time_created": "2025-11-08 20:29:41", "time_modified": "2025-11-08 20:29:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When authenticating to access restricted APIs like phone message management", "category": "comparative", "created_time": "2025-11-08 20:29:41", "modified_time": "2025-11-08 20:29:41", "generalized_query": "Delete spam messages from a specific phone number using authenticated API access", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "395f26da2a614b39a930286550751721", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication or specific permissions", "content": "Always verify API availability and authentication requirements before invoking operations. Use 'show_api_descriptions' to confirm available endpoints and their prerequisites.", "score": 0, "time_created": "2025-11-08 20:29:45", "time_modified": "2025-11-08 20:29:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "All phone text messages and voice messages from 5708520672 are spam, delete them.", "when_to_use": "When interacting with APIs that require authentication or specific permissions", "category": "failure", "created_time": "2025-11-08 20:29:45", "modified_time": "2025-11-08 20:29:45", "generalized_query": "Delete messages from a specific phone number in a messaging system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e0de5b433e8c45f0b3e2e72ce3b72b04", "memory_type": "procedural", "when_to_use": "When authenticating with an API requires retrieving credentials from a secure source and handling pagination for large datasets", "content": "Successfully retrieved Spotify credentials from a password store, used pagination to collect all matching artists, filtered by genre and follower count, and executed authenticated API calls with proper access tokens. Key pattern: Use API pagination with incremental page indexes until no more results, combine multiple filters (genre + follower count) in list comprehensions, and ensure all required authentication parameters (access_token) are explicitly passed in API requests", "score": 0, "time_created": "2025-11-08 20:29:37", "time_modified": "2025-11-08 20:29:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers", "when_to_use": "When authenticating with an API requires retrieving credentials from a secure source and handling pagination for large datasets", "category": "success", "created_time": "2025-11-08 20:29:37", "modified_time": "2025-11-08 20:29:37", "generalized_query": "Filter and follow artists in a music database with specific follower thresholds and genre criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1a08d78b973649758b56bd0602c30383", "memory_type": "procedural", "when_to_use": "When mapping identifiers to meaningful data", "content": "Always verify that identifier mappings (e.g., song_id → artist) use valid lookup mechanisms", "score": 0, "time_created": "2025-11-08 20:29:45", "time_modified": "2025-11-08 20:29:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the edm artists on Spotify that have at least 23 followers", "when_to_use": "When mapping identifiers to meaningful data", "category": "failure", "created_time": "2025-11-08 20:29:45", "modified_time": "2025-11-08 20:29:45", "generalized_query": "Resolve identifier-to-entity mappings in data pipelines", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e874a95042044336b062aa93257ca297", "memory_type": "procedural", "when_to_use": "When needing to filter and act on entities (e.g., artists, users) with specific attributes (e.g., follower count, genre) in a platform like Spotify", "content": "Successfully combined API exploration, parameterized filtering, and iterative action execution. Key steps: 1) Verify API availability (e.g., `search_artists` instead of non-existent `show_artists`) 2) Use filters (`min_follower_count`, `genre`) to narrow results 3) Iterate through results to perform actions (`follow_artist`)", "score": 0, "time_created": "2025-11-08 20:29:32", "time_modified": "2025-11-08 20:29:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the classical artists on Spotify that have at least 22 followers", "when_to_use": "When needing to filter and act on entities (e.g., artists, users) with specific attributes (e.g., follower count, genre) in a platform like Spotify", "category": "success", "created_time": "2025-11-08 20:29:32", "modified_time": "2025-11-08 20:29:32", "generalized_query": "Identify and interact with entities meeting specific criteria (e.g., follower count, category) in a music platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "91b4dbae0088415083cbaaac838dce50", "memory_type": "procedural", "when_to_use": "When interacting with music platforms like Spotify to follow artists based on follower counts", "content": "Misaligning data sources (e.g., playlist likes vs artist followers) leads to incorrect filtering; always validate that metrics correspond directly to the target entity (artists, not playlists) in the task", "score": 0, "time_created": "2025-11-08 20:29:34", "time_modified": "2025-11-08 20:29:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers", "when_to_use": "When interacting with music platforms like Spotify to follow artists based on follower counts", "category": "failure", "created_time": "2025-11-08 20:29:34", "modified_time": "2025-11-08 20:29:34", "generalized_query": "Follow artists on a music platform that meet specific follower thresholds and genre criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "f96b1b4da2a34f36a54969e624ec02c9", "memory_type": "procedural", "when_to_use": "When processing large datasets from APIs with pagination limits", "content": "Infinite loops can occur if pagination parameters (e.g., page_index) are not properly bounded by API response limits; implement explicit termination conditions", "score": 0, "time_created": "2025-11-08 20:29:34", "time_modified": "2025-11-08 20:29:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the reggae artists on Spotify that have at least 21 followers", "when_to_use": "When processing large datasets from APIs with pagination limits", "category": "failure", "created_time": "2025-11-08 20:29:34", "modified_time": "2025-11-08 20:29:34", "generalized_query": "Process paginated API responses to extract entities meeting specific criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "bd87c22d9def4564b36be445701a2a2e", "memory_type": "procedural", "when_to_use": "When accessing files via an API that requires authentication", "content": "Always verify API method existence and authentication requirements before attempting file operations. Ensure the file path is valid and the file exists before invoking read operations.", "score": 0, "time_created": "2025-11-08 20:30:20", "time_modified": "2025-11-08 20:30:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I paid for our last month's electricity bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, 'For electricity bill.'. The bill receipt is in my file system.", "when_to_use": "When accessing files via an API that requires authentication", "category": "failure", "created_time": "2025-11-08 20:30:20", "modified_time": "2025-11-08 20:30:20", "generalized_query": "Access a file from a secured file system and process its content for subsequent actions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "dcc2681fb19d46838107a68f433a3f78", "memory_type": "procedural", "when_to_use": "When parsing financial data from documents", "content": "Implement robust text cleaning processes to handle currency symbols and formatting inconsistencies", "score": 0, "time_created": "2025-11-08 20:30:19", "time_modified": "2025-11-08 20:30:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Extract total amount from electricity bill receipt", "when_to_use": "When parsing financial data from documents", "category": "failure", "created_time": "2025-11-08 20:30:19", "modified_time": "2025-11-08 20:30:19", "generalized_query": "Parse numerical values from text-based financial documents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ad5e5e10a6084b8092b17c0dccffbfce", "memory_type": "procedural", "when_to_use": "When managing roommate relationships", "content": "Use relationship-based search filters and validate access tokens before querying contact databases", "score": 0, "time_created": "2025-11-08 20:30:19", "time_modified": "2025-11-08 20:30:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Get list of roommates from phone contacts", "when_to_use": "When managing roommate relationships", "category": "failure", "created_time": "2025-11-08 20:30:19", "modified_time": "2025-11-08 20:30:19", "generalized_query": "Retrieve contact information for shared living arrangements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c0053c13c01a48c684ec0e18b8e64ac4", "memory_type": "procedural", "when_to_use": "When marking a note as completed in a note-taking app", "content": "Always verify the existence of a note before attempting to modify it, as the note may need to be created first if it doesn't exist", "score": 0, "time_created": "2025-11-08 20:30:19", "time_modified": "2025-11-08 20:30:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done", "when_to_use": "When marking a note as completed in a note-taking app", "category": "failure", "created_time": "2025-11-08 20:30:19", "modified_time": "2025-11-08 20:30:19", "generalized_query": "Update a specific note's status in a task management system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "1957a4b9d5cb4f74bf65182843412e13", "memory_type": "procedural", "when_to_use": "When encountering API method errors during execution", "content": "Validate API method availability and parameters against documentation before invocation to prevent runtime errors", "score": 0, "time_created": "2025-11-08 20:30:19", "time_modified": "2025-11-08 20:30:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Mark \"Learning to cook a signature dish from scratch\" in my Bucket List Simple Note as done", "when_to_use": "When encountering API method errors during execution", "category": "failure", "created_time": "2025-11-08 20:30:19", "modified_time": "2025-11-08 20:30:19", "generalized_query": "Perform actions requiring API interactions with external systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "241c6d4aa5004fc6a98a43d658a115d4", "memory_type": "procedural", "when_to_use": "When accessing files via an API that requires authentication", "content": "Always verify file existence and authenticate properly before accessing files; use 'file_exists' API to prevent 404 errors and ensure correct authentication tokens are used", "score": 0, "time_created": "2025-11-08 20:30:21", "time_modified": "2025-11-08 20:30:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I paid for our last month's cable bill. Its amount is supposed to be shared equally among my roommates and me. Make venmo requests to my roommates, with a description note, \"I paid for cable bill.\". The bill receipt is in my file system.", "when_to_use": "When accessing files via an API that requires authentication", "category": "failure", "created_time": "2025-11-08 20:30:21", "modified_time": "2025-11-08 20:30:21", "generalized_query": "Retrieve file content from a secured file system and distribute costs via Venmo", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "e419ef6dc5f24d98a169dfefed66eddc", "memory_type": "procedural", "when_to_use": "When implementing payment distribution workflows", "content": "Validate all prerequisite conditions (file existence, authentication, data accuracy) before initiating payment actions to prevent workflow interruptions.", "score": 0, "time_created": "2025-11-08 20:30:21", "time_modified": "2025-11-08 20:30:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make venmo requests to roommates for shared expenses", "when_to_use": "When implementing payment distribution workflows", "category": "failure", "created_time": "2025-11-08 20:30:21", "modified_time": "2025-11-08 20:30:21", "generalized_query": "Distribute shared costs among multiple parties via payment platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "93e618777ee64819be0bb4102d7e959c", "memory_type": "procedural", "when_to_use": "When accessing protected files or APIs requiring authentication", "content": "Always verify authentication tokens are valid and properly formatted in request headers when accessing secured APIs. Use 'Bearer' token format with correct scope permissions", "score": 0, "time_created": "2025-11-08 20:30:23", "time_modified": "2025-11-08 20:30:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make venmo requests to my roommates, with a description note, \"internet bill for the last month.\". The bill receipt is in my file system.", "when_to_use": "When accessing protected files or APIs requiring authentication", "category": "failure", "created_time": "2025-11-08 20:30:23", "modified_time": "2025-11-08 20:30:23", "generalized_query": "Access a file from a protected file system to retrieve data for financial transactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "cb3cd2d4734e41da9f40837a8eb643c9", "memory_type": "procedural", "when_to_use": "When dealing with file system operations", "content": "Use directory existence checks before attempting file operations to avoid permission errors. Verify directory paths match expected structure (e.g., 'receipts' may require full path)", "score": 0, "time_created": "2025-11-08 20:30:23", "time_modified": "2025-11-08 20:30:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Make venmo requests to my roommates, with a description note, \"internet bill for the last month.\". The bill receipt is in my file system.", "when_to_use": "When dealing with file system operations", "category": "failure", "created_time": "2025-11-08 20:30:23", "modified_time": "2025-11-08 20:30:23", "generalized_query": "Locate and retrieve specific files from a directory structure", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "6c11926e44ac4051922ee4b7609f7939", "memory_type": "procedural", "when_to_use": "When handling multi-account authentication across different services", "content": "Store and retrieve credentials securely using centralized password management interfaces", "score": 0, "time_created": "2025-11-08 20:30:21", "time_modified": "2025-11-08 20:30:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Login to file_system and phone apps to access account information", "when_to_use": "When handling multi-account authentication across different services", "category": "failure", "created_time": "2025-11-08 20:30:21", "modified_time": "2025-11-08 20:30:21", "generalized_query": "Authenticate to multiple services with credential management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3b42598a917b4e798050a6b26050f503", "memory_type": "procedural", "when_to_use": "When processing shared financial obligations", "content": "Use combination of contact management and expense tracking systems to verify sharing arrangements", "score": 0, "time_created": "2025-11-08 20:30:21", "time_modified": "2025-11-08 20:30:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Determine number of roommates to split internet bill costs", "when_to_use": "When processing shared financial obligations", "category": "failure", "created_time": "2025-11-08 20:30:21", "modified_time": "2025-11-08 20:30:21", "generalized_query": "Identify shared expense participants using available data sources", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "5c3249aa220e4bfaa58c69d3cfa228e0", "memory_type": "procedural", "when_to_use": "When interacting with an API that requires authentication (e.g., updating notes in a private app like Simple Note)", "content": "The successful execution relied on three critical patterns: (1) Retrieving and validating credentials via a supervisor tool to obtain a valid access token, (2) Using the access token in all API requests to maintain authorization, and (3) Precisely locating the target note via search and updating its content with exact string replacement. The sequence demonstrates systematic error handling for authentication failures and precise API parameter management.", "score": 0, "time_created": "2025-11-08 20:30:53", "time_modified": "2025-11-08 20:30:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Mark \"Witnessing a total solar eclipse\" in my Bucket List Simple Note as done", "when_to_use": "When interacting with an API that requires authentication (e.g., updating notes in a private app like Simple Note)", "category": "success", "created_time": "2025-11-08 20:30:53", "modified_time": "2025-11-08 20:30:53", "generalized_query": "Update a specific task status in a private note-taking application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "dca46696ef0e43219551526076506b4a", "memory_type": "procedural", "when_to_use": "When modifying task status in a notes-based bucket list system requiring API authentication", "content": "Successfully modified a note's content by first authenticating via API, locating the note by title through search, obtaining the note ID, and performing precise string replacement in the content field. This approach handles authentication barriers, resource location challenges, and content-specific formatting requirements.", "score": 0, "time_created": "2025-11-08 20:30:47", "time_modified": "2025-11-08 20:30:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Mark \"Taking a solo backpacking trip\" in my Bucket List Simple Note as not done", "when_to_use": "When modifying task status in a notes-based bucket list system requiring API authentication", "category": "success", "created_time": "2025-11-08 20:30:47", "modified_time": "2025-11-08 20:30:47", "generalized_query": "Update task status in a notes-based to-do list system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9122e0055fd345828dc0b80b5e8b9144", "memory_type": "procedural", "when_to_use": "When accessing protected resources in an API", "content": "Implement token validation checks before making API requests and use proper authentication mechanisms as documented in API specs", "score": 0, "time_created": "2025-11-08 20:30:59", "time_modified": "2025-11-08 20:30:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Mark 'Taking a solo backpacking trip' in my Bucket List Simple Note as not done", "when_to_use": "When accessing protected resources in an API", "category": "failure", "created_time": "2025-11-08 20:30:59", "modified_time": "2025-11-08 20:30:59", "generalized_query": "Modify note status in a secured note-taking application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a91901f5a6f048549449473646bd1657", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication or manipulating alarm settings", "content": "Always verify authentication tokens are valid and properly included in API requests, validate data structures before accessing nested elements, and confirm resource existence before performing operations", "score": 0, "time_created": "2025-11-08 20:30:51", "time_modified": "2025-11-08 20:30:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my go-to-sleep phone alarm to 1 hour later and disable the rest", "when_to_use": "When interacting with APIs that require authentication or manipulating alarm settings", "category": "failure", "created_time": "2025-11-08 20:30:51", "modified_time": "2025-11-08 20:30:51", "generalized_query": "Modify specific alarm settings and disable others in a device management system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "568afc6461164f4badcd0112195400df", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requiring authentication", "content": "Always verify authentication tokens are valid and properly scoped before accessing user-specific resources", "score": 0, "time_created": "2025-11-08 20:31:00", "time_modified": "2025-11-08 20:31:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest", "when_to_use": "When accessing protected APIs requiring authentication", "category": "failure", "created_time": "2025-11-08 20:31:00", "modified_time": "2025-11-08 20:31:00", "generalized_query": "Modify scheduled tasks with time adjustments and disable others", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "aa85724cf47c43869c7bee7fa968edce", "memory_type": "procedural", "when_to_use": "When modifying alarm configurations in phone apps", "content": "Use datetime libraries for precise time calculations. Apply bulk operations for disabling multiple alarms while ensuring proper access token validation", "score": 0, "time_created": "2025-11-08 20:30:57", "time_modified": "2025-11-08 20:30:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my wake-up phone alarm to 40 minutes earlier and disable the rest", "when_to_use": "When modifying alarm configurations in phone apps", "category": "failure", "created_time": "2025-11-08 20:30:57", "modified_time": "2025-11-08 20:30:57", "generalized_query": "Update and disable multiple alarms with specific time adjustments", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "47d8f61cd20c4e7b9a9fbe019910a932", "memory_type": "procedural", "when_to_use": "When estimating playlist durations or handling time-based calculations", "content": "Avoid assuming fixed durations for tracks; use actual track metadata for accurate time calculations", "score": 0, "time_created": "2025-11-08 20:31:32", "time_modified": "2025-11-08 20:31:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When estimating playlist durations or handling time-based calculations", "category": "failure", "created_time": "2025-11-08 20:31:32", "modified_time": "2025-11-08 20:31:32", "generalized_query": "Estimate the maximum duration of a music collection from a streaming service, rounded to the nearest whole number", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "cb09c14ead564110b1f12c9a95bd0928", "memory_type": "procedural", "when_to_use": "When dealing with paginated API responses for large datasets", "content": "Implement robust pagination handling to ensure complete data retrieval from API endpoints", "score": 0, "time_created": "2025-11-08 20:31:32", "time_modified": "2025-11-08 20:31:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When dealing with paginated API responses for large datasets", "category": "failure", "created_time": "2025-11-08 20:31:32", "modified_time": "2025-11-08 20:31:32", "generalized_query": "Retrieve and process extensive dataset fragments from an API with pagination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "cc1b90d0bc1f477da4764534b56f5468", "memory_type": "procedural", "when_to_use": "When requiring precise numerical rounding operations", "content": "Verify rounding logic aligns with specified precision requirements and edge case scenarios", "score": 0, "time_created": "2025-11-08 20:31:32", "time_modified": "2025-11-08 20:31:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When requiring precise numerical rounding operations", "category": "failure", "created_time": "2025-11-08 20:31:32", "modified_time": "2025-11-08 20:31:32", "generalized_query": "Perform mathematical rounding operations on calculated metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c519ba530e4e4ad48ab398d4745adc6c", "memory_type": "procedural", "when_to_use": "When calculating durations for playlists or music-related tasks", "content": "Misinterpreting 'longest playlist' as total accumulated duration across all playlists leads to incorrect results. Always verify whether the task requires analyzing individual items (e.g., single playlist metrics) versus aggregated data (e.g., total library statistics).", "score": 0, "time_created": "2025-11-08 20:31:30", "time_modified": "2025-11-08 20:31:30", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When calculating durations for playlists or music-related tasks", "category": "failure", "created_time": "2025-11-08 20:31:30", "modified_time": "2025-11-08 20:31:30", "generalized_query": "Determine the duration of the longest playlist in a music service, rounded to the nearest whole number", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "b097701fcff34dd99f5acea4a95633c9", "memory_type": "procedural", "when_to_use": "For time-based calculations, always convert units explicitly and apply proper rounding techniques", "content": "The solution successfully converted total seconds to minutes using division and Python's built-in round() function. This approach ensures accurate unit conversion and proper rounding for time measurements, avoiding common floating-point precision issues", "score": 0, "time_created": "2025-11-08 20:31:34", "time_modified": "2025-11-08 20:31:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my longest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "For time-based calculations, always convert units explicitly and apply proper rounding techniques", "category": "success", "created_time": "2025-11-08 20:31:34", "modified_time": "2025-11-08 20:31:34", "generalized_query": "Convert cumulative time measurements between units with precision rounding", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "435cb5d3593b433b92d237866f4414dd", "memory_type": "procedural", "when_to_use": "When performing API operations requiring authentication", "content": "Authentication tokens must be explicitly obtained and included in API requests. Repeated failed attempts with incorrect credentials should trigger credential validation checks rather than continuous retries.", "score": 0, "time_created": "2025-11-08 20:31:38", "time_modified": "2025-11-08 20:31:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my go-to-sleep phone alarm to 20 minutes later and disable the rest", "when_to_use": "When performing API operations requiring authentication", "category": "failure", "created_time": "2025-11-08 20:31:38", "modified_time": "2025-11-08 20:31:38", "generalized_query": "Modify alarm settings and manage multiple alarms on a phone application", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "214bf691def64fbab9582bd94d62d714", "memory_type": "procedural", "when_to_use": "When executing code in restricted environments", "content": "Avoid embedding explanatory text in executable code. Maintain strict separation between code commands and natural language instructions to prevent syntax errors in restricted execution environments.", "score": 0, "time_created": "2025-11-08 20:31:38", "time_modified": "2025-11-08 20:31:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my go-to-sleep phone alarm to 20 minutes later and disable the rest", "when_to_use": "When executing code in restricted environments", "category": "failure", "created_time": "2025-11-08 20:31:38", "modified_time": "2025-11-08 20:31:38", "generalized_query": "Execute code sequences with strict syntax requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "45ffb3b8df7846c2a240e75e754a6aa2", "memory_type": "procedural", "when_to_use": "When searching for specific alarms by label in device management tasks", "content": "Use case-insensitive and partial string matching for alarm labels, as exact matches may not be reliable. Verify alarm state and properties before modification", "score": 0, "time_created": "2025-11-08 20:31:35", "time_modified": "2025-11-08 20:31:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move my go-to-sleep phone alarm to 20 minutes later and disable the rest", "when_to_use": "When searching for specific alarms by label in device management tasks", "category": "failure", "created_time": "2025-11-08 20:31:35", "modified_time": "2025-11-08 20:31:35", "generalized_query": "Identify and modify alarms based on descriptive labels in device systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "531bb0904f9d427ab9e446a3da9f994e", "memory_type": "procedural", "when_to_use": "When accessing nested data via APIs, verify the exact field names in the response schema before assuming default keys", "content": "Successful execution relied on cross-referencing API response schemas (step 7) to identify the correct duration field ('duration' vs. incorrectly assumed 'duration_seconds'). This highlights the importance of validating data structures before processing.", "score": 0, "time_created": "2025-11-08 20:31:32", "time_modified": "2025-11-08 20:31:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When accessing nested data via APIs, verify the exact field names in the response schema before assuming default keys", "category": "success", "created_time": "2025-11-08 20:31:32", "modified_time": "2025-11-08 20:31:32", "generalized_query": "Determine the shortest duration of a playlist across a music platform, considering song metadata", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "2e49d8eaf787419cbab3bfb1a986c91c", "memory_type": "procedural", "when_to_use": "When handling authentication flows with sensitive credentials", "content": "Store and handle credentials securely using dedicated authentication modules rather than hardcoding passwords in scripts", "score": 0, "time_created": "2025-11-08 20:31:39", "time_modified": "2025-11-08 20:31:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How long is my shortest Spotify playlist, in minutes, rounded to the nearest number?", "when_to_use": "When handling authentication flows with sensitive credentials", "category": "failure", "created_time": "2025-11-08 20:31:39", "modified_time": "2025-11-08 20:31:39", "generalized_query": "Access protected resources via authenticated API endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "6389de26c7274de6a2233c189542420a", "memory_type": "procedural", "when_to_use": "When searching for specific playlists or albums in a music service", "content": "Verify the existence of required resources (e.g., playlists/albums) before proceeding with dependent actions to avoid infinite loops and redundant operations", "score": 0, "time_created": "2025-11-08 20:32:04", "time_modified": "2025-11-08 20:32:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When searching for specific playlists or albums in a music service", "category": "failure", "created_time": "2025-11-08 20:32:04", "modified_time": "2025-11-08 20:32:04", "generalized_query": "Retrieve and play a specific song from an album in a music streaming service", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c960c57988884bd9bd93fa324784da71", "memory_type": "procedural", "when_to_use": "When generating diagnostic messages or outputs during execution", "content": "Use proper syntax for code execution vs. text output; avoid mixing executable code with plain text explanations in the same context", "score": 0, "time_created": "2025-11-08 20:32:04", "time_modified": "2025-11-08 20:32:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When generating diagnostic messages or outputs during execution", "category": "failure", "created_time": "2025-11-08 20:32:04", "modified_time": "2025-11-08 20:32:04", "generalized_query": "Generate diagnostic outputs during task execution", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9b1ccd40eb70453394f2835403e4a832", "memory_type": "procedural", "when_to_use": "When handling dynamic API interactions", "content": "Validate API method existence and parameters against documented specifications before invocation. Use versioned or stable API endpoints to prevent runtime errors due to deprecated functionality.", "score": 0, "time_created": "2025-11-08 20:32:07", "time_modified": "2025-11-08 20:32:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the least listened to song on Spotify from the Echo Chamber Chronicles album.", "when_to_use": "When handling dynamic API interactions", "category": "failure", "created_time": "2025-11-08 20:32:07", "modified_time": "2025-11-08 20:32:07", "generalized_query": "Execute actions requiring API calls with version-controlled endpoints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "638e613d84874f8bb76f3d47f689ea63", "memory_type": "procedural", "when_to_use": "When interacting with APIs that return structured data, especially when relying on specific keys or fields", "content": "Always verify the exact keys and data structure of API responses before accessing nested fields. Assumptions about field names can lead to KeyError exceptions.", "score": 0, "time_created": "2025-11-08 20:32:13", "time_modified": "2025-11-08 20:32:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist", "when_to_use": "When interacting with APIs that return structured data, especially when relying on specific keys or fields", "category": "failure", "created_time": "2025-11-08 20:32:13", "modified_time": "2025-11-08 20:32:13", "generalized_query": "Identify and play the most listened-to song from a specified music playlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "86225760affd47b7b91827bf8c34b71a", "memory_type": "procedural", "when_to_use": "When processing song metadata from playlist IDs to determine playback priority", "content": "Use the correct metric name (e.g., 'play_count' instead of 'listen_count') and ensure song details are fetched explicitly via their IDs to access accurate metadata.", "score": 0, "time_created": "2025-11-08 20:32:13", "time_modified": "2025-11-08 20:32:13", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the most listened to song on Spotify from my Woodstock Reimagined: Festival Vibes playlist", "when_to_use": "When processing song metadata from playlist IDs to determine playback priority", "category": "failure", "created_time": "2025-11-08 20:32:13", "modified_time": "2025-11-08 20:32:13", "generalized_query": "Determine the highest-engagement track in a music playlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "14ac4f7626d7486c93386ce09b1af3dc", "memory_type": "procedural", "when_to_use": "When accessing Spotify's API to play music based on user-specific criteria", "content": "The higher-scoring approach succeeded by: 1) Correctly handling API errors through iterative debugging (e.g., switching from 'listen_count' to 'play_count'), 2) Ensuring proper authentication by refreshing access tokens when needed, 3) Using precise API endpoints (like 'play_music') with required parameters (access_token). The lower-scoring approach failed due to missing error handling, incorrect API usage, and lack of token validation.", "score": 0, "time_created": "2025-11-08 20:32:33", "time_modified": "2025-11-08 20:32:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album.", "when_to_use": "When accessing Spotify's API to play music based on user-specific criteria", "category": "comparative", "created_time": "2025-11-08 20:32:33", "modified_time": "2025-11-08 20:32:33", "generalized_query": "Retrieve and play the most engaged-with media item from a specific artist/album", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "579a8eaeb85d4c5b83041ba06fe50b47", "memory_type": "procedural", "when_to_use": "When handling API errors related to authorization or missing parameters", "content": "Implement error-handling logic to refresh tokens, validate user input, and ensure required parameters (e.g., email) are provided for API calls that depend on user context.", "score": 0, "time_created": "2025-11-08 20:32:38", "time_modified": "2025-11-08 20:32:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Play the most listened to song on Spotify from the Velvet Underground album", "when_to_use": "When handling API errors related to authorization or missing parameters", "category": "failure", "created_time": "2025-11-08 20:32:38", "modified_time": "2025-11-08 20:32:38", "generalized_query": "Execute actions requiring user authentication and data retrieval", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "c0b39a2f10364aafb1ec13ca225873a1", "memory_type": "procedural", "when_to_use": "When handling payment approval tasks involving external accounts", "content": "Always verify sufficient funds in the payment account before attempting to approve requests to avoid insufficiency errors", "score": 0, "time_created": "2025-11-08 20:32:27", "time_modified": "2025-11-08 20:32:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers.", "when_to_use": "When handling payment approval tasks involving external accounts", "category": "failure", "created_time": "2025-11-08 20:32:27", "modified_time": "2025-11-08 20:32:27", "generalized_query": "Approve pending payment requests from specified contacts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9e7849a09da54be29741a8ae10dc1807", "memory_type": "procedural", "when_to_use": "When handling password-sensitive operations or data structures", "content": "Implement robust credential management and data structure validation. Use list comprehensions carefully to avoid type errors when extracting values", "score": 0, "time_created": "2025-11-08 20:32:28", "time_modified": "2025-11-08 20:32:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Accept all pending Venmo payment requests from my roommates and coworkers", "when_to_use": "When handling password-sensitive operations or data structures", "category": "failure", "created_time": "2025-11-08 20:32:28", "modified_time": "2025-11-08 20:32:28", "generalized_query": "Access restricted account information or perform actions requiring authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "09e329f00d2e4e50b76a12c95667cc21", "memory_type": "procedural", "when_to_use": "When interacting with APIs that require authentication tokens, especially for time-sensitive operations like approving payments", "content": "Always validate access token validity and expiration time before making API requests, especially for critical operations like payment approvals", "score": 0, "time_created": "2025-11-08 20:32:55", "time_modified": "2025-11-08 20:32:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Accept all pending Venmo payment requests from my coworkers and friends", "when_to_use": "When interacting with APIs that require authentication tokens, especially for time-sensitive operations like approving payments", "category": "failure", "created_time": "2025-11-08 20:32:55", "modified_time": "2025-11-08 20:32:55", "generalized_query": "Approve pending payment requests from known contacts using an authenticated API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8b97b25417334e76af2c415b89cdb567", "memory_type": "procedural", "when_to_use": "When automating payment request management across multiple apps", "content": "The higher-scoring approach succeeded by directly accessing Venmo's payment request API with proper authentication, while the lower-scoring approach failed due to incorrect API selection (using phone app instead of Venmo), authorization errors, and improper parameter handling. The effective approach used precise API endpoints (show_received_payment_requests, deny_payment_request) with proper pagination and authentication tokens, whereas the less effective approach wasted time on irrelevant APIs and encountered authorization failures.", "score": 0, "time_created": "2025-11-08 20:33:01", "time_modified": "2025-11-08 20:33:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When automating payment request management across multiple apps", "category": "comparative", "created_time": "2025-11-08 20:33:01", "modified_time": "2025-11-08 20:33:01", "generalized_query": "Automate rejection of pending payment requests from specified contacts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "d9b90a096e7f4767ba7cc8033bbab691", "memory_type": "procedural", "when_to_use": "When handling data extraction from nested or conditional structures in API responses.", "content": "Use robust data extraction methods (e.g., generator expressions with next()) to avoid type errors and ensure accurate value retrieval.", "score": 0, "time_created": "2025-11-08 20:33:07", "time_modified": "2025-11-08 20:33:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reject all pending Venmo payment requests from my friends and roommates.", "when_to_use": "When handling data extraction from nested or conditional structures in API responses.", "category": "failure", "created_time": "2025-11-08 20:33:07", "modified_time": "2025-11-08 20:33:07", "generalized_query": "Extract specific data fields from complex API response structures.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "837b6517253c4619a058e538f48a0e9c", "memory_type": "procedural", "when_to_use": "When retrieving song data from Spotify, ensure direct mapping of song IDs to song titles via the Spotify API rather than relying on playlist metadata.", "content": "Song titles must be explicitly retrieved from the Spotify API using song IDs, not inferred from playlist titles or metadata.", "score": 0, "time_created": "2025-11-08 20:33:03", "time_modified": "2025-11-08 20:33:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When retrieving song data from Spotify, ensure direct mapping of song IDs to song titles via the Spotify API rather than relying on playlist metadata.", "category": "failure", "created_time": "2025-11-08 20:33:03", "modified_time": "2025-11-08 20:33:03", "generalized_query": "Identify the most played song on a music platform by an artist.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "84b6ad1c331c484598acabdab7758f37", "memory_type": "procedural", "when_to_use": "When encountering missing API methods during execution", "content": "Verify API availability by querying the platform's documentation endpoints. Replace invalid API calls with verified methods while maintaining the core logic flow. This ensures robustness against API changes while preserving the intended functionality.", "score": 0, "time_created": "2025-11-08 20:33:10", "time_modified": "2025-11-08 20:33:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most played song by Velvet Echo on Spotify.", "when_to_use": "When encountering missing API methods during execution", "category": "success", "created_time": "2025-11-08 20:33:10", "modified_time": "2025-11-08 20:33:10", "generalized_query": "Resolve API method errors during music platform data retrieval", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "f7e680dad1a342a6be19d49eabf0daac", "memory_type": "procedural", "when_to_use": "When accessing nested data structures or API responses", "content": "Always validate the structure of API responses and ensure keys exist before accessing nested fields. Use defensive programming to handle missing data or unexpected formats.", "score": 0, "time_created": "2025-11-08 20:33:31", "time_modified": "2025-11-08 20:33:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When accessing nested data structures or API responses", "category": "failure", "created_time": "2025-11-08 20:33:31", "modified_time": "2025-11-08 20:33:31", "generalized_query": "Identify the most frequently played song by a specific artist across their owned playlists", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "289483f4a5f849ac9de9e1ee5b7efa92", "memory_type": "procedural", "when_to_use": "When implementing search/aggregate operations across multiple data sources", "content": "Collect and process all relevant data first before performing calculations. Verify intermediate results at each stage to isolate failure points.", "score": 0, "time_created": "2025-11-08 20:33:31", "time_modified": "2025-11-08 20:33:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When implementing search/aggregate operations across multiple data sources", "category": "failure", "created_time": "2025-11-08 20:33:31", "modified_time": "2025-11-08 20:33:31", "generalized_query": "Aggregate metrics across interconnected data sets (e.g., playlists → songs → statistics)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "8dde90d057a1483590666b211579af3a", "memory_type": "procedural", "when_to_use": "When retrieving data from an API that requires pagination and has rate limit constraints", "content": "Successfully handled API pagination limits by adjusting page_limit parameter (max 20 per request), filtered results by artist name, and identified the most played song by comparing play_count metrics across multiple API calls. Used iterative processing to handle large datasets efficiently.", "score": 0, "time_created": "2025-11-08 20:33:34", "time_modified": "2025-11-08 20:33:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the most played song by Jasper Skye on Spotify.", "when_to_use": "When retrieving data from an API that requires pagination and has rate limit constraints", "category": "success", "created_time": "2025-11-08 20:33:34", "modified_time": "2025-11-08 20:33:34", "generalized_query": "Identify the top-performing item (e.g., most played song) by an artist from a music database", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "02e8578a053c4837b39481d86851f8be", "memory_type": "procedural", "when_to_use": "When interacting with Spotify's API to manage artist follow status based on user preferences", "content": "Verify API endpoint existence and correct parameter usage before execution; ensure proper data structure parsing; implement state-checking before modifying relationships", "score": 0, "time_created": "2025-11-08 20:34:03", "time_modified": "2025-11-08 20:34:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify", "when_to_use": "When interacting with Spotify's API to manage artist follow status based on user preferences", "category": "failure", "created_time": "2025-11-08 20:34:03", "modified_time": "2025-11-08 20:34:03", "generalized_query": "Modify follow relationships based on content interaction history", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ebee42e7da0748e1abeee2dd595a5869", "memory_type": "procedural", "when_to_use": "When processing nested data structures from API responses", "content": "Always validate field names and data structures in API responses using documentation; use iterative parsing for nested/arrays structures", "score": 0, "time_created": "2025-11-08 20:34:03", "time_modified": "2025-11-08 20:34:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify", "when_to_use": "When processing nested data structures from API responses", "category": "failure", "created_time": "2025-11-08 20:34:03", "modified_time": "2025-11-08 20:34:03", "generalized_query": "Extract relational data from nested API responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "79a65af8eabf4042a33074a5f8439e0d", "memory_type": "procedural", "when_to_use": "When performing state-modifying operations on third-party services", "content": "Implement idempotent operations with pre-state checks to avoid invalid requests and handle 422 conflict responses", "score": 0, "time_created": "2025-11-08 20:34:03", "time_modified": "2025-11-08 20:34:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Unfollow all the artists who have not sung even a single song I have liked on Spotify", "when_to_use": "When performing state-modifying operations on third-party services", "category": "failure", "created_time": "2025-11-08 20:34:03", "modified_time": "2025-11-08 20:34:03", "generalized_query": "Modify external service states based on criteria", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "9e6996dcf5bd4fc5bfde7a04d6135a7e", "memory_type": "procedural", "when_to_use": "When accessing protected APIs requires authentication credentials stored in a secure system", "content": "Retrieve stored credentials from a secure source to authenticate API access, then use the API's search functionality with appropriate parameters (like page_limit constraints) to gather data. Filter results using metric-based sorting (e.g., play_count) to identify the target item.", "score": 0, "time_created": "2025-11-08 20:33:26", "time_modified": "2025-11-08 20:33:26", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When accessing protected APIs requires authentication credentials stored in a secure system", "category": "success", "created_time": "2025-11-08 20:33:26", "modified_time": "2025-11-08 20:33:26", "generalized_query": "Identify the least engaged content item by an artist in a music database", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "a09ad8cc275c48b0b3d61c99b90f33e8", "memory_type": "procedural", "when_to_use": "When handling nested data structures in API responses", "content": "Always validate the presence of nested fields before accessing them to avoid KeyError. Use dot notation or explicit checks for each level of nesting.", "score": 0, "time_created": "2025-11-08 20:34:09", "time_modified": "2025-11-08 20:34:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When handling nested data structures in API responses", "category": "failure", "created_time": "2025-11-08 20:34:09", "modified_time": "2025-11-08 20:34:09", "generalized_query": "Extract specific attributes from nested JSON data structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "4967313832284e3fa7d6a5a0ba583da4", "memory_type": "procedural", "when_to_use": "When generating final output from processed data", "content": "Ensure syntactical correctness when constructing output strings, avoiding unquoted text and improper formatting that may cause execution errors.", "score": 0, "time_created": "2025-11-08 20:34:09", "time_modified": "2025-11-08 20:34:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What is the title of the least played song by Zoey James on Spotify.", "when_to_use": "When generating final output from processed data", "category": "failure", "created_time": "2025-11-08 20:34:09", "modified_time": "2025-11-08 20:34:09", "generalized_query": "Present results from data processing tasks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "522c2a60fa484d189e777fc7f92d0639", "memory_type": "procedural", "when_to_use": "When interacting with music recommendation systems to follow artists based on user preferences", "content": "Successfully parsed Spotify API responses to extract artist IDs from nested structures (e.g., songs → artists → id) and implemented idempotent operations using try-except blocks to handle duplicate follow requests. Key steps included: 1) Verifying API response schema to locate correct data fields, 2) Using error handling to skip redundant actions without requiring additional API methods.", "score": 0, "time_created": "2025-11-08 20:34:05", "time_modified": "2025-11-08 20:34:05", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When interacting with music recommendation systems to follow artists based on user preferences", "category": "success", "created_time": "2025-11-08 20:34:05", "modified_time": "2025-11-08 20:34:05", "generalized_query": "Follow artists associated with user-preferred content in a music platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "ef5629d8f8ac4fa9bb0d21052df1db51", "memory_type": "procedural", "when_to_use": "When processing nested data structures from API responses", "content": "Inspect API response schemas to understand data nesting levels; use iteration/recursive approaches to access multi-level fields rather than direct key access", "score": 0, "time_created": "2025-11-08 20:34:09", "time_modified": "2025-11-08 20:34:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When processing nested data structures from API responses", "category": "failure", "created_time": "2025-11-08 20:34:09", "modified_time": "2025-11-08 20:34:09", "generalized_query": "Extract relationships from hierarchical data structures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "6bbce6ebdbcf43e89741a87fd3ce21f5", "memory_type": "procedural", "when_to_use": "When submitting results to a task completion interface", "content": "Ensure output formats strictly match expected types (e.g., strings instead of sets/lists) by converting data structures before submission", "score": 0, "time_created": "2025-11-08 20:34:09", "time_modified": "2025-11-08 20:34:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When submitting results to a task completion interface", "category": "failure", "created_time": "2025-11-08 20:34:09", "modified_time": "2025-11-08 20:34:09", "generalized_query": "Format outputs for automated task verification systems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "3edfd84bbf104863a882cef381656f8b", "memory_type": "procedural", "when_to_use": "When implementing API interactions requiring dynamic data processing and error handling", "content": "The higher-scoring approach demonstrated superior error handling through incremental debugging (e.g., using API docs to resolve KeyError, adding deduplication with sets, and implementing try-except blocks for duplicate follow errors). It systematically addressed API constraints (like requiring artist IDs) and optimized data flow by directly accessing nested JSON structures. The lower-scoring approach failed due to incomplete pagination handling, redundant checks without error mitigation, and improper use of API parameters.", "score": 0, "time_created": "2025-11-08 20:34:04", "time_modified": "2025-11-08 20:34:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When implementing API interactions requiring dynamic data processing and error handling", "category": "comparative", "created_time": "2025-11-08 20:34:04", "modified_time": "2025-11-08 20:34:04", "generalized_query": "Automate following artists based on user's liked music items across a music platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "appworld_qwen3_8b", "memory_id": "55fafbf9ed9e4408a02fefcf7a902b7d", "memory_type": "procedural", "when_to_use": "When processing paginated API responses for user data retrieval", "content": "Implement robust pagination handling to ensure complete data retrieval. Verify that the API's page_limit and page_index parameters are correctly configured to capture all relevant entries.", "score": 0, "time_created": "2025-11-08 20:34:32", "time_modified": "2025-11-08 20:34:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Follow all the artists who have sung at least one song I have liked on Spotify.", "when_to_use": "When processing paginated API responses for user data retrieval", "category": "failure", "created_time": "2025-11-08 20:34:32", "modified_time": "2025-11-08 20:34:32", "generalized_query": "Retrieve and process user-generated data from paginated endpoints", "utility": 0, "freq": 0}}
|
||||
|
|
@ -1,110 +0,0 @@
|
|||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "1e350e4a5eb34f15b0538373c89ddfb4", "memory_type": "procedural", "when_to_use": "When retrieving stock information after obtaining a symbol via name lookup", "content": "Always use the symbol returned by get_symbol_by_name() in subsequent stock-related function calls, rather than assuming or modifying the symbol", "score": 0, "time_created": "2025-09-20 11:40:03", "time_modified": "2025-09-20 11:40:03", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "For your investment portfolio, could you inform me of the current price of 'Quasar Ltd.'?", "when_to_use": "When retrieving stock information after obtaining a symbol via name lookup", "category": "failure", "created_time": "2025-09-20 11:40:03", "modified_time": "2025-09-20 11:40:03", "generalized_query": "Requesting financial data about a company by name", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "719b716f42fe48638bc4756c1a5146dd", "memory_type": "procedural", "when_to_use": "When managing user interactions and watchlists", "content": "The higher-scoring sequence maintained clear state management by confirming watchlist updates and providing immediate feedback, while the lower-scoring response introduced ambiguity by questioning the presence of 'NVDA' in the watchlist. Effective watchlist management requires explicit confirmation of all modifications without introducing unrelated queries.", "score": 0, "time_created": "2025-09-20 11:40:09", "time_modified": "2025-09-20 11:40:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Please append this stock to your watchlist to enable us to scrutinize its performance over time.", "when_to_use": "When managing user interactions and watchlists", "category": "comparative", "created_time": "2025-09-20 11:40:09", "modified_time": "2025-09-20 11:40:09", "generalized_query": "Update user-specific monitoring configurations for financial assets", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d401023d95994303a917a23a182ff712", "memory_type": "procedural", "when_to_use": "When needing to determine real-time market status", "content": "Successfully combined get_current_time and update_market_status functions to determine market status. This pattern works because it directly queries the current time and then uses that data to update and retrieve the market status, ensuring accuracy.", "score": 0, "time_created": "2025-09-20 11:40:05", "time_modified": "2025-09-20 11:40:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Provide a real-time update on the market status. Is it currently open or closed?", "when_to_use": "When needing to determine real-time market status", "category": "success", "created_time": "2025-09-20 11:40:05", "modified_time": "2025-09-20 11:40:05", "generalized_query": "Check real-time status of a financial market or system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "37aeb1bc1d914c4986cb8532fb960368", "memory_type": "procedural", "when_to_use": "When analyzing a stock by company name and needing to add it to a watchlist", "content": "Used get_symbol_by_name followed by get_stock_info to analyze Amazon (AMZN). Applied conditional logic (price > $300) before using add_to_watchlist. This works because it follows a clear data flow: name → symbol → details → action, ensuring informed decisions.", "score": 0, "time_created": "2025-09-20 11:40:05", "time_modified": "2025-09-20 11:40:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I require a comprehensive analysis of the stock with Amazon, as it will inform my subsequent decision-making.", "when_to_use": "When analyzing a stock by company name and needing to add it to a watchlist", "category": "success", "created_time": "2025-09-20 11:40:05", "modified_time": "2025-09-20 11:40:05", "generalized_query": "Analyze a stock by company name and add to watchlist if conditions met", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c9351cb263264d18a73077b4a8e53b7f", "memory_type": "procedural", "when_to_use": "When initiating engine start sequences in vehicle control systems", "content": "Critical vehicle functions like engine start require verification of prerequisite conditions (e.g., brake pedal engagement) before execution to avoid system errors.", "score": 0, "time_created": "2025-09-20 11:40:10", "time_modified": "2025-09-20 11:40:10", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you get the engine started for me? Make sure you do it in START mode, with all doors securely locked and the brake properly engaged.", "when_to_use": "When initiating engine start sequences in vehicle control systems", "category": "failure", "created_time": "2025-09-20 11:40:10", "modified_time": "2025-09-20 11:40:10", "generalized_query": "Executing vehicle engine start with safety prerequisites", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "11c4cb12e0df48d08991609584ea575b", "memory_type": "procedural", "when_to_use": "When configuring navigation and vehicle readiness for long-distance travel", "content": "Trip feasibility assessments should be combined with vehicle readiness checks (fuel, navigation, safety systems) to ensure end-to-end preparedness for long-distance travel.", "score": 0, "time_created": "2025-09-20 11:40:10", "time_modified": "2025-09-20 11:40:10", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Is this something I could realistically pull off? I just want to know an answer; you don't need to refill if it's not reachable. If it is reachable, set navigation to '1914 7th St, Apt B, Berkeley, CA 94710'.", "when_to_use": "When configuring navigation and vehicle readiness for long-distance travel", "category": "failure", "created_time": "2025-09-20 11:40:10", "modified_time": "2025-09-20 11:40:10", "generalized_query": "Assessing trip feasibility and navigation setup for long-distance journeys", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "436f8bcd86004d928e395c367c933c21", "memory_type": "procedural", "when_to_use": "When converting units and calculating precise fuel amounts", "content": "The higher-scoring approach used the correct liter_to_gallon conversion (10L = 2.64gal) and rounded appropriately, while the lower-scoring sequence incorrectly filled 6.29gal (likely a miscalculation). Precision in unit conversion and decimal formatting directly impacted task success.", "score": 0, "time_created": "2025-09-20 11:40:05", "time_modified": "2025-09-20 11:40:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'd appreciate it if you could refill with 10 liters of gasoline to keep the adventure alive. Use 2 decimal digit of the gallon amount", "when_to_use": "When converting units and calculating precise fuel amounts", "category": "comparative", "created_time": "2025-09-20 11:40:05", "modified_time": "2025-09-20 11:40:05", "generalized_query": "Accurate unit conversion and fuel measurement", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "067cc47dac5541a198e6b794a826c307", "memory_type": "procedural", "when_to_use": "When starting vehicle engine with multiple prerequisite safety checks", "content": "Successfully handled sequential dependencies by first locking doors, pressing brake pedal, then starting engine. Demonstrates proper handling of error conditions through systematic resolution of prerequisites before completing the main action.", "score": 0, "time_created": "2025-09-20 11:40:09", "time_modified": "2025-09-20 11:40:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "fire up the engine with a swift ignition and take a peek at the dashboard stats...", "when_to_use": "When starting vehicle engine with multiple prerequisite safety checks", "category": "success", "created_time": "2025-09-20 11:40:09", "modified_time": "2025-09-20 11:40:09", "generalized_query": "Execute vehicle ignition while satisfying safety precondition checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c2433974ebc44b3f8d3fae9ca5de799c", "memory_type": "procedural", "when_to_use": "When calculating averages from sensor data measurements", "content": "Use appropriate mathematical functions for statistical calculations rather than applying unrelated operations like absolute value, which may mask conceptual misunderstandings", "score": 0, "time_created": "2025-09-20 11:40:25", "time_modified": "2025-09-20 11:40:25", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "To wrap it up, what's the average tire pressure? I want to make sure everything's in tip-top shape.", "when_to_use": "When calculating averages from sensor data measurements", "category": "failure", "created_time": "2025-09-20 11:40:25", "modified_time": "2025-09-20 11:40:25", "generalized_query": "Calculate statistical averages from multiple sensor readings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "08fd146498e74a4fa006e883c6873087", "memory_type": "procedural", "when_to_use": "When using system-generated IDs for transactions", "content": "Always use the system-assigned card_id (from register_credit_card response) instead of the original card number in subsequent transactions", "score": 0, "time_created": "2025-09-20 11:40:55", "time_modified": "2025-09-20 11:40:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "procure travel insurance worth $2000 for my family vacation, which should comprehensively cover the journey from Munich all the way to Guangzhou", "when_to_use": "When using system-generated IDs for transactions", "category": "failure", "created_time": "2025-09-20 11:40:55", "modified_time": "2025-09-20 11:40:55", "generalized_query": "Purchasing insurance using a credit card after registration", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f57a2bb7fec04f9abf6b7226c01e5dbc", "memory_type": "procedural", "when_to_use": "When retrieving invoices for bookings", "content": "Use the original booking_id parameter (not insurance_id) when calling retrieve_invoice, as the booking ID is the primary reference for financial records", "score": 0, "time_created": "2025-09-20 11:40:55", "time_modified": "2025-09-20 11:40:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you retrieve an invoice for this insurance to ensure my financial records are precise?", "when_to_use": "When retrieving invoices for bookings", "category": "failure", "created_time": "2025-09-20 11:40:55", "modified_time": "2025-09-20 11:40:55", "generalized_query": "Requesting documentation for travel transactions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "868f2889b76445b7bf39543fb1c0d6d5", "memory_type": "procedural", "when_to_use": "When encountering API errors due to incorrect parameters in booking workflows", "content": "The higher-scoring approach proactively used get_flight_cost to validate pricing parameters before booking, avoiding invalid API calls. It also maintained consistent booking IDs across cancellation requests, unlike the lower-scoring sequence which used hardcoded placeholder IDs. This parameter validation and state consistency led to successful transaction completion.", "score": 0, "time_created": "2025-09-20 11:40:50", "time_modified": "2025-09-20 11:40:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm planning a business class trip from JFK in New York to LAX in Los Angeles on December 15, 2024... Once booked, I'll need to cancel the trip immediately due to unexpected changes in my schedule.", "when_to_use": "When encountering API errors due to incorrect parameters in booking workflows", "category": "comparative", "created_time": "2025-09-20 11:40:50", "modified_time": "2025-09-20 11:40:50", "generalized_query": "Executing a flight booking and cancellation workflow with parameter validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a8b6580308a34104a37334cd506c3bda", "memory_type": "procedural", "when_to_use": "When creating support tickets for urgent issues", "content": "Double-check all input data (e.g., dates) in ticket descriptions to ensure accuracy and alignment with the original request.", "score": 0, "time_created": "2025-09-20 11:40:57", "time_modified": "2025-09-20 11:40:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I must file a priority 5 support ticket concerning the flight cancellation... Due to unexpected changes in schedule, the flight from JFK to LAX on December 15, 2023, needs to be canceled immediately.", "when_to_use": "When creating support tickets for urgent issues", "category": "failure", "created_time": "2025-09-20 11:40:57", "modified_time": "2025-09-20 11:40:57", "generalized_query": "Creating high-priority support tickets for urgent travel issues", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "25f43f070d1446158de327b0af3ba3d7", "memory_type": "procedural", "when_to_use": "When handling user requests that require specific identifiers like order IDs or account credentials", "content": "Always verify the presence of required parameters (e.g., order IDs, authentication tokens) before executing critical operations. Implement security best practices by masking sensitive data like card numbers instead of exposing full details.", "score": 0, "time_created": "2025-09-20 11:41:06", "time_modified": "2025-09-20 11:41:06", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I require some confidence about my current financial positioning. Share a detailed overview of my account, including balances and any associated card numbers. Furthermore, logging in as USR001 to notify my financial advisor (user id 'USR003') promptly about this potential shift in my investment strategy with our latest account details.", "when_to_use": "When handling user requests that require specific identifiers like order IDs or account credentials", "category": "failure", "created_time": "2025-09-20 11:41:06", "modified_time": "2025-09-20 11:41:06", "generalized_query": "Requesting sensitive account information and performing actions that require authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "05040385e7644f6fbd2fa9f06a08db89", "memory_type": "procedural", "when_to_use": "When booking a flight and encountering unexpected API errors due to parameter mismatches", "content": "The initial error during flight booking highlighted the importance of aligning parameters with API requirements. By removing the 'travel_cost' parameter (which was not part of the function's required fields), the booking succeeded. This demonstrates the need to strictly adhere to function parameter specifications and validate inputs before execution.", "score": 0, "time_created": "2025-09-20 11:41:19", "time_modified": "2025-09-20 11:41:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I just relocated to Rivermist and I'm looking to book a flight to Los Angeles for a crucial business meeting. Could you arrange the flight for me, using my credit card with id 'card_6789'? I need it booked for next Friday 2024-11-10, in business class, with an estimated cost of approximately $1200. Additionally, I have received my new access token: 2278-9812-3456-4567. Once the flight is confirmed, please ensure you acquire the invoice for this transaction as it's necessary for my reimbursement.", "when_to_use": "When booking a flight and encountering unexpected API errors due to parameter mismatches", "category": "success", "created_time": "2025-09-20 11:41:19", "modified_time": "2025-09-20 11:41:19", "generalized_query": "Booking a flight with specific parameters (date, class, payment method) and retrieving documentation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "46c0671a693c465ebea3b574aa40e5a5", "memory_type": "procedural", "when_to_use": "When initiating vehicle startup procedures", "content": "Vehicle ignition requires sequential safety verification: doors must be locked, brake pedal engaged, and all systems checked in specific order", "score": 0, "time_created": "2025-09-20 11:41:41", "time_modified": "2025-09-20 11:41:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm planning ahead for our big trip and realized our car's fuel tank is running low. It would be great if you could top it up with an additional 30 gallons before I turn on the ignition using the 'START' mode.", "when_to_use": "When initiating vehicle startup procedures", "category": "failure", "created_time": "2025-09-20 11:41:41", "modified_time": "2025-09-20 11:41:41", "generalized_query": "Executing vehicle engine startup with prerequisite safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "240bda18801041cd8160b91935b33bfb", "memory_type": "procedural", "when_to_use": "When implementing vehicle system interactions", "content": "System interactions require understanding both technical vehicle parameters and external platform formatting requirements simultaneously", "score": 0, "time_created": "2025-09-20 11:41:41", "time_modified": "2025-09-20 11:41:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you share a quick update about the tire pressures on Twitter using specific format?", "when_to_use": "When implementing vehicle system interactions", "category": "failure", "created_time": "2025-09-20 11:41:41", "modified_time": "2025-09-20 11:41:41", "generalized_query": "Integrating vehicle diagnostics with external communication platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "6d0e18aa68524b4b9383e46338345253", "memory_type": "procedural", "when_to_use": "When requesting order details or cancellation without sufficient information", "content": "Always verify that required parameters (e.g., order IDs) are available before attempting to retrieve or modify order details. If missing, explicitly request the necessary information from the user.", "score": 0, "time_created": "2025-09-20 11:41:58", "time_modified": "2025-09-20 11:41:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Review the order that I had placed, looking at its details, and let me know if it should be cancelled.", "when_to_use": "When requesting order details or cancellation without sufficient information", "category": "failure", "created_time": "2025-09-20 11:41:58", "modified_time": "2025-09-20 11:41:58", "generalized_query": "Requesting order details or cancellation without providing necessary identifiers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "16685cdfeee64cf0a530abcafdcb57fc", "memory_type": "procedural", "when_to_use": "When the user requests specific stock details and watchlist management", "content": "Concurrently use get_stock_info to fetch detailed stock metrics (price, volume, moving averages) and add_to_watchlist to manage user portfolios. This parallel execution ensures immediate access to data and seamless watchlist updates.", "score": 0, "time_created": "2025-09-20 11:42:02", "time_modified": "2025-09-20 11:42:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need details on the performance of a particular stock, 'SYNX', can you provide me with the critical information? It should be added to my watchlist.", "when_to_use": "When the user requests specific stock details and watchlist management", "category": "success", "created_time": "2025-09-20 11:42:02", "modified_time": "2025-09-20 11:42:02", "generalized_query": "Retrieve stock performance data and add to user watchlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "03d2b46234a24314863a2cf90bd9d207", "memory_type": "procedural", "when_to_use": "When verifying traveler identity before booking travel", "content": "Successfully used verify_traveler_information with full name, DOB, and passport number to authenticate the traveler. This establishes trust and compliance with travel regulations before proceeding with bookings.", "score": 0, "time_created": "2025-09-20 11:41:36", "time_modified": "2025-09-20 11:41:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm embarking on an adventure to spend some time with my family. Could you confirm my travel details for me? Just a quick rundown: my name is Theodore Collins, born on September 14, 1985; I have a U.S. passport starting with 'US876543'.", "when_to_use": "When verifying traveler identity before booking travel", "category": "success", "created_time": "2025-09-20 11:41:36", "modified_time": "2025-09-20 11:41:36", "generalized_query": "Verify user identity and travel documentation for a trip", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "135a2ce0fa5e42bdb7d648c78a48c497", "memory_type": "procedural", "when_to_use": "When managing dependent tasks like cancellations that require prior successful booking", "content": "The higher-scoring sequence completed the booking successfully (via parameter adjustment) before cancellation, ensuring valid booking IDs existed. The lower-scoring sequence failed to complete the booking due to parameter errors, making cancellation impossible and resulting in a failed task chain.", "score": 0, "time_created": "2025-09-20 11:41:41", "time_modified": "2025-09-20 11:41:41", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Something's come up, and I won't be able to make it on this trip as planned. Would you mind canceling the flight reservation I just made?", "when_to_use": "When managing dependent tasks like cancellations that require prior successful booking", "category": "comparative", "created_time": "2025-09-20 11:41:41", "modified_time": "2025-09-20 11:41:41", "generalized_query": "Handling follow-up actions for incomplete bookings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a366cf687b5648d08513b3ff08c30209", "memory_type": "procedural", "when_to_use": "When performing vehicle pre-trip checks involving multiple system interactions", "content": "Critical system dependencies must be resolved in proper sequence - doors must be locked before engine ignition", "score": 0, "time_created": "2025-09-20 11:42:34", "time_modified": "2025-09-20 11:42:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Prior to commencing the drive, kindly initiate the engine, ensuring all doors are securely closed and the parking brake is engaged.", "when_to_use": "When performing vehicle pre-trip checks involving multiple system interactions", "category": "failure", "created_time": "2025-09-20 11:42:34", "modified_time": "2025-09-20 11:42:34", "generalized_query": "Executing vehicle startup sequence with safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "5717b0d02e2f4b5997b39afb16d53b5d", "memory_type": "procedural", "when_to_use": "When assessing fuel sufficiency for long-distance travel", "content": "Fuel sufficiency assessments require explicit vehicle fuel efficiency data to calculate required fuel volume", "score": 0, "time_created": "2025-09-20 11:42:34", "time_modified": "2025-09-20 11:42:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you provide me with the approximate distance between San Francisco and Rivermist? This information is crucial for my travel planning notes. Will I be able to get there?", "when_to_use": "When assessing fuel sufficiency for long-distance travel", "category": "failure", "created_time": "2025-09-20 11:42:34", "modified_time": "2025-09-20 11:42:34", "generalized_query": "Evaluating trip feasibility based on fuel capacity and distance", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "39c73bf264ee434886c0d97766b3b2c1", "memory_type": "procedural", "when_to_use": "When converting units for travel planning", "content": "Always verify conversion accuracy and consider rounding implications for critical safety calculations", "score": 0, "time_created": "2025-09-20 11:42:34", "time_modified": "2025-09-20 11:42:34", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I require assistance in determining the quantity of gasoline necessary for an extensive journey across California. I currently anticipate needing around 166 liters. How much is that in gallon?", "when_to_use": "When converting units for travel planning", "category": "failure", "created_time": "2025-09-20 11:42:34", "modified_time": "2025-09-20 11:42:34", "generalized_query": "Unit conversion for travel resource planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c82a52a687a842febaa08a99c44e11fe", "memory_type": "procedural", "when_to_use": "When searching for files with a specific name in the current directory", "content": "Using the 'find' tool with a targeted name parameter efficiently located the file. The recursive search capability ensured coverage of all subdirectories while maintaining simplicity by defaulting to the current directory.", "score": 0, "time_created": "2025-09-20 11:42:40", "time_modified": "2025-09-20 11:42:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I have a list of student record in this directory, could you find me where is it by telling me its name and using 'find'?", "when_to_use": "When searching for files with a specific name in the current directory", "category": "success", "created_time": "2025-09-20 11:42:40", "modified_time": "2025-09-20 11:42:40", "generalized_query": "Locate a file containing specific data using a search term", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d0c24907ab2d4a109eeafdb87d291f95", "memory_type": "procedural", "when_to_use": "When extracting numerical data from text files for statistical analysis", "content": "Combined 'cat' for file content retrieval with math API tools (mean, standard_deviation) to process scores. This pattern enables end-to-end data analysis workflows from file access to computation.", "score": 0, "time_created": "2025-09-20 11:42:40", "time_modified": "2025-09-20 11:42:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Look at the student_record.txt and tell me the average score", "when_to_use": "When extracting numerical data from text files for statistical analysis", "category": "success", "created_time": "2025-09-20 11:42:40", "modified_time": "2025-09-20 11:42:40", "generalized_query": "Calculate statistical metrics from numerical data stored in text files", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "16690621207648bba1fb63a7260e86e6", "memory_type": "procedural", "when_to_use": "When a user needs to execute a trade after confirming market status", "content": "Successfully checked market status using get_current_time and update_market_status tools before proceeding with a trade. This ensured the user only executed a trade when the market was open, avoiding invalid transactions.", "score": 0, "time_created": "2025-09-20 11:42:44", "time_modified": "2025-09-20 11:42:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'd appreciate a breakdown on the current stock market trends so I can determine the suitability of executing a trade right now. Could you provide the latest market status for me?", "when_to_use": "When a user needs to execute a trade after confirming market status", "category": "success", "created_time": "2025-09-20 11:42:44", "modified_time": "2025-09-20 11:42:44", "generalized_query": "Requesting market status verification before executing a trade", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "004bfd6f6f344e8f95b035f1db2c8952", "memory_type": "procedural", "when_to_use": "When encountering account information synchronization issues", "content": "Created a structured support ticket using create_ticket with clear title, description, and priority. This ensured systematic issue tracking while maintaining user context for support teams.", "score": 0, "time_created": "2025-09-20 11:42:44", "time_modified": "2025-09-20 11:42:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "An unanticipated error has emerged while accessing my account information. Could you file a support ticket titled 'Account Information Error'...", "when_to_use": "When encountering account information synchronization issues", "category": "success", "created_time": "2025-09-20 11:42:44", "modified_time": "2025-09-20 11:42:44", "generalized_query": "Reporting account information synchronization problems", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a2026c158684462fb4d88cbd7c302843", "memory_type": "procedural", "when_to_use": "When calculating road distance between two cities for trip planning", "content": "Successfully used a two-step process: first obtaining zipcodes for both cities using get_zipcode_based_on_city, then calculating distance with estimate_distance. This ensures accurate location mapping before distance calculation.", "score": 0, "time_created": "2025-09-20 11:42:58", "time_modified": "2025-09-20 11:42:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Before I set off for Stonebrook to uncover family history, I need to determine the road distance between San Francisco and Stonebrook for my genealogy exploration.", "when_to_use": "When calculating road distance between two cities for trip planning", "category": "success", "created_time": "2025-09-20 11:42:58", "modified_time": "2025-09-20 11:42:58", "generalized_query": "Calculate the distance between two geographic locations for travel planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "05bd3ec9d0a1438daada9437b10ec72c", "memory_type": "procedural", "when_to_use": "When amplifying content reach after initial posting", "content": "Timely retweet immediately after initial post maximized exposure. This decision demonstrated understanding of social media algorithms favoring active engagement.", "score": 0, "time_created": "2025-09-20 11:42:58", "time_modified": "2025-09-20 11:42:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Once the tweet is live, I should retweet it to widen the circle of those who might share in this genealogy fervor!", "when_to_use": "When amplifying content reach after initial posting", "category": "success", "created_time": "2025-09-20 11:42:58", "modified_time": "2025-09-20 11:42:58", "generalized_query": "Retweet content to increase visibility and community engagement", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "feb96841e8844344b7d4edc2e78d54aa", "memory_type": "procedural", "when_to_use": "When performing actions that require authentication (e.g., posting to social media)", "content": "Repeatedly attempting authentication with invalid credentials without implementing error handling or user feedback leads to infinite failure loops. Always verify authentication status before proceeding with platform-specific actions.", "score": 0, "time_created": "2025-09-20 11:42:58", "time_modified": "2025-09-20 11:42:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Buzzing with anticipation for this family roots journey, I want to tweet: 'Setting forth on an exciting quest from San Francisco to Stonebrook to uncover ancestral stories!' #GenealogyAdventure #FamilyHistory.", "when_to_use": "When performing actions that require authentication (e.g., posting to social media)", "category": "failure", "created_time": "2025-09-20 11:42:58", "modified_time": "2025-09-20 11:42:58", "generalized_query": "Executing actions that require user authentication on a platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "86ad5a70cfda4e7f915ec85293b76177", "memory_type": "procedural", "when_to_use": "When converting fuel measurements between liters and gallons for vehicle refueling", "content": "Successful execution required using the liter_to_gallon conversion tool first, then fillFuelTank with precise gallon amount. This works because the vehicle system uses gallons, and precise conversion ensures accurate fueling without overflow.", "score": 0, "time_created": "2025-09-20 11:43:21", "time_modified": "2025-09-20 11:43:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Would you be so kind as to assist me in filling up my car with 15 liters of gasoline? Fill with the second decimal digit precision in gallon", "when_to_use": "When converting fuel measurements between liters and gallons for vehicle refueling", "category": "success", "created_time": "2025-09-20 11:43:21", "modified_time": "2025-09-20 11:43:21", "generalized_query": "Convert volume measurements between liters and gallons for vehicle fueling", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "3a0efeb6f1184b0f8e773240157b51cb", "memory_type": "procedural", "when_to_use": "When performing vehicle maintenance tasks with dependent system requirements", "content": "Successfully started engine only after addressing lockDoors error and pressing brake pedal. This demonstrates the need to handle system dependencies (locked doors, brake engagement) before executing critical operations like engine start.", "score": 0, "time_created": "2025-09-20 11:43:21", "time_modified": "2025-09-20 11:43:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "start up the engine and let me know the battery voltage and fuel level", "when_to_use": "When performing vehicle maintenance tasks with dependent system requirements", "category": "success", "created_time": "2025-09-20 11:43:21", "modified_time": "2025-09-20 11:43:21", "generalized_query": "Execute vehicle systems operations with prerequisite safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "284bc44972104717bcad0b6977d24c37", "memory_type": "procedural", "when_to_use": "When amplifying social media content through multi-action engagement", "content": "Effective content amplification required sequential use of retweet and comment functions with proper tweet_id reference. This works because Twitter engagement actions require specific tweet identification and sequential execution.", "score": 0, "time_created": "2025-09-20 11:43:21", "time_modified": "2025-09-20 11:43:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you possibly amplify its reach by retweeting it? And if you could add a comment saying, 'Ready for the next adventure!'", "when_to_use": "When amplifying social media content through multi-action engagement", "category": "success", "created_time": "2025-09-20 11:43:21", "modified_time": "2025-09-20 11:43:21", "generalized_query": "Increase social media content visibility through retweets and comments", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "b4a7a18dc4ff44e39185afadb0d300c3", "memory_type": "procedural", "when_to_use": "When a user needs to obtain stock details (symbol, price, market activity) for a company", "content": "Successfully combined get_symbol_by_name and get_stock_info to deliver comprehensive stock details. This two-step verification ensures accuracy in symbol mapping and provides critical metrics (price, volume, moving averages) for informed decision-making.", "score": 0, "time_created": "2025-09-20 11:43:40", "time_modified": "2025-09-20 11:43:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Before purchasing shares in Zeta Corp, I am curious about their recent stock performance. Could you provide their stock symbol and detail their market activity?", "when_to_use": "When a user needs to obtain stock details (symbol, price, market activity) for a company", "category": "success", "created_time": "2025-09-20 11:43:40", "modified_time": "2025-09-20 11:43:40", "generalized_query": "Retrieve stock symbol and market data for a specified company", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "557eab156b9a4ba0a27b2960f6a34e69", "memory_type": "procedural", "when_to_use": "When executing or managing trade orders (placement, cancellation, status checks)", "content": "Efficiently used place_order for execution and cancel_order for reversal, paired with real-time status updates. This demonstrates effective order lifecycle management through precise tool usage and clear user feedback loops.", "score": 0, "time_created": "2025-09-20 11:43:40", "time_modified": "2025-09-20 11:43:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you initiate a purchase of 50 shares at the prevailing market rate for me?", "when_to_use": "When executing or managing trade orders (placement, cancellation, status checks)", "category": "success", "created_time": "2025-09-20 11:43:40", "modified_time": "2025-09-20 11:43:40", "generalized_query": "Execute a stock trade order or manage existing orders", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "fbc697a8df86483e820b079828c6feab", "memory_type": "procedural", "when_to_use": "When verifying account details (balance, linked payment methods) post-transaction", "content": "Utilized get_account_info to provide critical account validation details. This ensures transparency and security by confirming financial standing and payment method alignment without exposing sensitive data unnecessarily.", "score": 0, "time_created": "2025-09-20 11:43:40", "time_modified": "2025-09-20 11:43:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you deliver an update on my account, including the current balance and the linked card number?", "when_to_use": "When verifying account details (balance, linked payment methods) post-transaction", "category": "success", "created_time": "2025-09-20 11:43:40", "modified_time": "2025-09-20 11:43:40", "generalized_query": "Retrieve account balance and payment method verification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c0b1c5896ba64f0988c78a5f7f291b1d", "memory_type": "procedural", "when_to_use": "When a user needs to determine the current market status based on the time of day", "content": "Successfully retrieved current time using get_current_time, then used update_market_status with the timestamp to provide accurate market status (Open/Closed). This ensures users make informed decisions based on real-time market conditions.", "score": 0, "time_created": "2025-09-20 11:43:31", "time_modified": "2025-09-20 11:43:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I just arrived at the office and want to know the current market status to plan my trading activities for the day. Update the market status with the current time so I can adjust my strategy accordingly.", "when_to_use": "When a user needs to determine the current market status based on the time of day", "category": "success", "created_time": "2025-09-20 11:43:31", "modified_time": "2025-09-20 11:43:31", "generalized_query": "Determine and update market status based on current time for trading planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "5f18eaca81a74d8fa37defd87fcd640f", "memory_type": "procedural", "when_to_use": "When executing file operations requiring precise directory navigation and error handling", "content": "The higher-scoring approach systematically navigated to the correct directory path first, verified directory structure, and handled edge cases (e.g., existing 'archive' directory). The lower-scoring sequence repeatedly attempted invalid moves without resolving path inconsistencies or confirming directory context.", "score": 0, "time_created": "2025-09-20 11:43:57", "time_modified": "2025-09-20 11:43:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Find analysis_report.csv and upon locating it, ensure you move it to the 'archive' directory in the same directory of analysis report for safekeeping.", "when_to_use": "When executing file operations requiring precise directory navigation and error handling", "category": "comparative", "created_time": "2025-09-20 11:43:57", "modified_time": "2025-09-20 11:43:57", "generalized_query": "Execute file relocation with directory validation and error resolution", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f03c68dd659e4fb5af09b606df47f7cd", "memory_type": "procedural", "when_to_use": "When reinforcing social media posts with follow-up engagement actions", "content": "Effectively used Twitter API functions in sequence: authenticate -> post_tweet -> comment. Showed understanding of temporal workflow (commenting after tweet publication) and strategic reinforcement of messaging.", "score": 0, "time_created": "2025-09-20 11:44:04", "time_modified": "2025-09-20 11:44:04", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Once the tweet is live, reinforce the achievement by commenting underneath with a phrase like 'Another successful task completed today!' to highlight our team's continued success.", "when_to_use": "When reinforcing social media posts with follow-up engagement actions", "category": "success", "created_time": "2025-09-20 11:44:04", "modified_time": "2025-09-20 11:44:04", "generalized_query": "Enhance social media engagement through post-publication interaction", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f049fee63fbc452c93a99ddb136be998", "memory_type": "procedural", "when_to_use": "When preparing files for review through preprocessing operations", "content": "Combined 'sort' and 'cat' commands to both preprocess and visualize file contents. Demonstrated understanding of workflow order (sorting before display) and file preparation best practices.", "score": 0, "time_created": "2025-09-20 11:44:04", "time_modified": "2025-09-20 11:44:04", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "After the file transfer, display the contents of 'archive_summary.txt' in the current working directory. Sort the contents alphabetically for easy review and analysis.", "when_to_use": "When preparing files for review through preprocessing operations", "category": "success", "created_time": "2025-09-20 11:44:04", "modified_time": "2025-09-20 11:44:04", "generalized_query": "Prepare text files for analysis through sorting and display operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "e7343eb6ed1a47919208598f690df388", "memory_type": "procedural", "when_to_use": "When copying files between directories, especially when ensuring the source file exists and paths are correctly specified", "content": "Always verify the existence of the source file before attempting to copy it, and ensure destination paths adhere to tool constraints (e.g., no full paths in destination parameters).", "score": 0, "time_created": "2025-09-20 11:44:09", "time_modified": "2025-09-20 11:44:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Transfer the 'annual_report.txt' in Documents directory to the 'Reports' directory that's in Documents directory, but also make sure it remains available in its current spot.", "when_to_use": "When copying files between directories, especially when ensuring the source file exists and paths are correctly specified", "category": "failure", "created_time": "2025-09-20 11:44:09", "modified_time": "2025-09-20 11:44:09", "generalized_query": "Copy a file to a subdirectory while retaining the original file in its current location", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "718f8470036d49f9a917c81dae837660", "memory_type": "procedural", "when_to_use": "When listing files/directories, including hidden ones, to ensure completeness", "content": "Using the 'ls' command with the 'a' parameter set to true ensures hidden files/directories are included. This prevents omission of critical system files or user-specific configurations.", "score": 0, "time_created": "2025-09-20 11:44:22", "time_modified": "2025-09-20 11:44:22", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange a complete listing of all files and directories presently located here, making sure you don't overlook the hidden ones too.", "when_to_use": "When listing files/directories, including hidden ones, to ensure completeness", "category": "success", "created_time": "2025-09-20 11:44:22", "modified_time": "2025-09-20 11:44:22", "generalized_query": "List all files and directories (including hidden items) in the current working directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "4167fbd5d5d74393ae7729704a8f5ab4", "memory_type": "procedural", "when_to_use": "When sending messages requiring user authentication", "content": "The sequence of first calling 'message_login' then 'send_message' ensures proper authentication context. This prevents authorization errors and establishes clear audit trails for message delivery.", "score": 0, "time_created": "2025-09-20 11:44:22", "time_modified": "2025-09-20 11:44:22", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Attempt to relay a message to the individual with ID 'USR002' by logging in as USR001, updating them on the finalization of the report saying 'The report has been finalized.'", "when_to_use": "When sending messages requiring user authentication", "category": "success", "created_time": "2025-09-20 11:44:22", "modified_time": "2025-09-20 11:44:22", "generalized_query": "Send a message to a user after authenticating as a different user", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "ff17810a801940c78f91d8e575217730", "memory_type": "procedural", "when_to_use": "When refueling a vehicle, especially when the tank capacity is known", "content": "Always verify the current fuel level and tank capacity before attempting to fill, to avoid exceeding the tank's maximum limit.", "score": 0, "time_created": "2025-09-20 11:44:37", "time_modified": "2025-09-20 11:44:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I would like to increase the amount of fuel in my car to completely full, but first I need to ascertain the present level to determine the appropriate amount to add.", "when_to_use": "When refueling a vehicle, especially when the tank capacity is known", "category": "failure", "created_time": "2025-09-20 11:44:37", "modified_time": "2025-09-20 11:44:37", "generalized_query": "Determining the correct amount of fuel to add based on current levels and tank capacity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "47e34c095ac044ba87437ca0fb4a1039", "memory_type": "procedural", "when_to_use": "When starting a vehicle's engine after locking doors", "content": "Engine start sequences require checking and fulfilling all prerequisite conditions (e.g., locked doors, brake pedal pressed) to prevent operational errors.", "score": 0, "time_created": "2025-09-20 11:44:37", "time_modified": "2025-09-20 11:44:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "activate the engine using the 'START' function and verify the tire pressure to ensure it is in optimal condition.", "when_to_use": "When starting a vehicle's engine after locking doors", "category": "failure", "created_time": "2025-09-20 11:44:37", "modified_time": "2025-09-20 11:44:37", "generalized_query": "Starting a vehicle's engine requires adherence to safety protocols like door locks and brake engagement", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a1cdd9baa8174c39b75a04bd37084fc5", "memory_type": "procedural", "when_to_use": "When monitoring tire pressure and determining service needs", "content": "System-defined 'healthy' pressure ranges may differ from user expectations; explicitly communicate thresholds and clarify if user-defined limits require intervention.", "score": 0, "time_created": "2025-09-20 11:44:37", "time_modified": "2025-09-20 11:44:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Should I notice that my tire pressure falls below 40 psi, kindly provide me with directions to the nearest tire service center for prompt resolution.", "when_to_use": "When monitoring tire pressure and determining service needs", "category": "failure", "created_time": "2025-09-20 11:44:37", "modified_time": "2025-09-20 11:44:37", "generalized_query": "Interpreting tire pressure thresholds and triggering maintenance alerts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f076536b80414f9e9e35633e1cabae29", "memory_type": "procedural", "when_to_use": "When performing actions that require user authentication (e.g., sending messages)", "content": "Always verify user authentication status before attempting actions that require logged-in access to prevent 'No user is currently logged in' errors.", "score": 0, "time_created": "2025-09-20 11:44:37", "time_modified": "2025-09-20 11:44:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'd appreciate it if you could send a quick message 'I am on my way to your place.' to my cousin (user id USR002), updating them my status.", "when_to_use": "When performing actions that require user authentication (e.g., sending messages)", "category": "failure", "created_time": "2025-09-20 11:44:37", "modified_time": "2025-09-20 11:44:37", "generalized_query": "Executing actions that require user authentication without verifying login status", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d349490fe836499fab64de698575fb01", "memory_type": "procedural", "when_to_use": "When interpreting system status indicators (e.g., tire pressure health)", "content": "Explicitly compare system-provided status values to user-defined thresholds rather than relying solely on system-generated health indicators, which may use different criteria.", "score": 0, "time_created": "2025-09-20 11:44:37", "time_modified": "2025-09-20 11:44:37", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you provide an update on the current tire pressure status? If it's below 40, point me to nearest tire shop.", "when_to_use": "When interpreting system status indicators (e.g., tire pressure health)", "category": "failure", "created_time": "2025-09-20 11:44:37", "modified_time": "2025-09-20 11:44:37", "generalized_query": "Relying on system-defined status labels without validating against user-specific thresholds", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "b99016cf37fb442db281922a24f46207", "memory_type": "procedural", "when_to_use": "When verifying and locking all car doors to ensure security", "content": "The lockDoors function was called with all door types specified and 'unlock' set to false, ensuring comprehensive locking. The system confirmed no remaining unlocked doors, demonstrating the effectiveness of explicitly enumerating all doors and using the correct boolean parameter.", "score": 0, "time_created": "2025-09-20 11:44:45", "time_modified": "2025-09-20 11:44:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I've noticed that some of my car doors are slightly ajar while others seem to be securely locked. Would you be able to verify and make sure all doors are properly locked for safety?", "when_to_use": "When verifying and locking all car doors to ensure security", "category": "success", "created_time": "2025-09-20 11:44:45", "modified_time": "2025-09-20 11:44:45", "generalized_query": "Securing vehicle access by verifying and locking all doors", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "154af024d9e846a2b4edbe4da41deb00", "memory_type": "procedural", "when_to_use": "When initiating engine ignition with safety prerequisites", "content": "The sequence correctly identified the need to press the brake pedal before starting the engine. This decision point highlights the importance of checking prerequisite conditions (brake engagement) before executing critical actions like engine ignition.", "score": 0, "time_created": "2025-09-20 11:44:45", "time_modified": "2025-09-20 11:44:45", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Would you initiate the engine's ignition in START mode?", "when_to_use": "When initiating engine ignition with safety prerequisites", "category": "success", "created_time": "2025-09-20 11:44:45", "modified_time": "2025-09-20 11:44:45", "generalized_query": "Starting a vehicle's engine while ensuring safety conditions are met", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "b9111f3e90bc410ab82d0c4b0de689ad", "memory_type": "procedural", "when_to_use": "When needing to locate and retrieve a specific file in a directory, including hidden files", "content": "Combining 'cd' to navigate to the target directory, 'ls -a' to list all files (including hidden ones), and 'find' with the exact filename pattern ensures comprehensive file discovery. Using 'cat' immediately after confirms content retrieval.", "score": 0, "time_created": "2025-09-20 11:44:49", "time_modified": "2025-09-20 11:44:49", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Please cd into project folder and find Kelly's test report somewhere in the directory and read the content to me.", "when_to_use": "When needing to locate and retrieve a specific file in a directory, including hidden files", "category": "success", "created_time": "2025-09-20 11:44:49", "modified_time": "2025-09-20 11:44:49", "generalized_query": "Retrieve a specific file from a directory, including hidden files", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "e510abfa0e4147e19fad65fa5cc480b5", "memory_type": "procedural", "when_to_use": "When sending a formatted message to a user after establishing their contact information", "content": "Sequentially using 'add_contact' to create the contact, 'get_user_id' to obtain the receiver ID, 'send_message' to deliver the content, and 'view_messages_sent' for verification ensures reliable communication workflow.", "score": 0, "time_created": "2025-09-20 11:44:49", "time_modified": "2025-09-20 11:44:49", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Please dispatch of the report to Kelly, I need to add her contact (Kelly), in the format of 'Kelly Total Score: total_score', I'd appreciate a list of all the communications I've sent until now.", "when_to_use": "When sending a formatted message to a user after establishing their contact information", "category": "success", "created_time": "2025-09-20 11:44:49", "modified_time": "2025-09-20 11:44:49", "generalized_query": "Send a message to a user after adding them as a contact and verify sent communications", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a61744333adf450ea40bc8ceb9bee5e8", "memory_type": "procedural", "when_to_use": "When composing messages based on dynamically retrieved data", "content": "The higher-scoring approach used the actual score extracted from the file (96) rather than a static placeholder ('total_score'). This ensured message accuracy and completeness. The lower-scoring approach retained the placeholder, which likely caused the task to fail validation or lose critical information. Dynamic data substitution is essential for reliable automation.", "score": 0, "time_created": "2025-09-20 11:45:01", "time_modified": "2025-09-20 11:45:01", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Please dispatch of the report to Kelly, I need to add her contact (Kelly), in the format of 'Kelly Total Score: total_score', I'd appreciate a list of all the communications I've sent until now.", "when_to_use": "When composing messages based on dynamically retrieved data", "category": "comparative", "created_time": "2025-09-20 11:45:01", "modified_time": "2025-09-20 11:45:01", "generalized_query": "Generate and send a message using dynamically retrieved data while maintaining a record of communications.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "7b1f9ac6a4d54e31b90b59a57a0740e0", "memory_type": "procedural", "when_to_use": "When executing vehicle control sequences requiring multiple dependent actions (e.g., engine start, cruise control activation)", "content": "The higher-scoring approach ensured engine startup prerequisites (locked doors + brake pedal engagement) were completed before attempting cruise control activation, avoiding errors. The lower-scoring sequence attempted cruise control configuration before engine startup, triggering a system error that required backtracking and additional steps.", "score": 0, "time_created": "2025-09-20 11:45:12", "time_modified": "2025-09-20 11:45:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "With every door now open, please proceed to fire up the engine; I need to ensure everything's in working order before hitting the road.", "when_to_use": "When executing vehicle control sequences requiring multiple dependent actions (e.g., engine start, cruise control activation)", "category": "comparative", "created_time": "2025-09-20 11:45:12", "modified_time": "2025-09-20 11:45:12", "generalized_query": "Executing vehicle startup and configuration sequences with interdependent system requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "943ed6412b9a4fae95b0879f90008864", "memory_type": "procedural", "when_to_use": "When the user needs to assess vehicle readiness for a trip based on fuel capacity and distance", "content": "The higher-scoring approach proactively used the 'estimate_drive_feasibility_by_mileage' tool to automate the assessment, while the lower-scoring response failed to leverage available tools and instead requested manual user input. This demonstrates the importance of using built-in diagnostic tools rather than relying on incomplete user data.", "score": 0, "time_created": "2025-09-20 11:45:21", "time_modified": "2025-09-20 11:45:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need that info to check if my vehicle can cover the distance without refueling.", "when_to_use": "When the user needs to assess vehicle readiness for a trip based on fuel capacity and distance", "category": "comparative", "created_time": "2025-09-20 11:45:21", "modified_time": "2025-09-20 11:45:21", "generalized_query": "Assessing vehicle fuel feasibility for a journey", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "08bd55472ab046629da909f0bc7affa2", "memory_type": "procedural", "when_to_use": "When attempting to start a vehicle's engine", "content": "Vehicle engine start requires sequential completion of safety checks: doors must be locked first, then brake pedal must be pressed before ignition", "score": 0, "time_created": "2025-09-20 11:45:21", "time_modified": "2025-09-20 11:45:21", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Turn on my vehicle's engine in 'START' mode.", "when_to_use": "When attempting to start a vehicle's engine", "category": "failure", "created_time": "2025-09-20 11:45:21", "modified_time": "2025-09-20 11:45:21", "generalized_query": "Initiating vehicle engine startup sequence", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d8e70426b69241da91d4df332ba80911", "memory_type": "procedural", "when_to_use": "When handling file operations or ticket modifications based on file attributes", "content": "Always verify file existence and explicitly confirm filenames before executing operations that depend on file attributes", "score": 0, "time_created": "2025-09-20 11:45:36", "time_modified": "2025-09-20 11:45:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "If the character count of any file is greater than 20, Set the priority to 3. Else, set to 2.", "when_to_use": "When handling file operations or ticket modifications based on file attributes", "category": "failure", "created_time": "2025-09-20 11:45:36", "modified_time": "2025-09-20 11:45:36", "generalized_query": "Modify a ticket's priority based on file attribute thresholds", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c5a881fa55074dc8a21a6dd1c317b27c", "memory_type": "procedural", "when_to_use": "When calculating distances between two locations using zip codes", "content": "Successfully retrieved zip codes for both cities using get_zipcode_based_on_city, then used estimate_distance with the zip codes to calculate the distance. This pattern works because it leverages geolocation data through zip code mapping and distance estimation tools.", "score": 0, "time_created": "2025-09-20 11:46:02", "time_modified": "2025-09-20 11:46:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "How far apart are San Francisco and Rivermist?", "when_to_use": "When calculating distances between two locations using zip codes", "category": "success", "created_time": "2025-09-20 11:46:02", "modified_time": "2025-09-20 11:46:02", "generalized_query": "Determine the distance between two cities using their zip codes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "95b6b4cc128d4bc682d7d2c2662caaa2", "memory_type": "procedural", "when_to_use": "When managing vehicle fuel levels and unit conversions", "content": "Combined displayCarStatus to check fuel levels in gallons, then used gallon_to_liter for unit conversion. This approach ensures users receive information in their preferred units while maintaining accuracy in fuel management.", "score": 0, "time_created": "2025-09-20 11:46:02", "time_modified": "2025-09-20 11:46:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "What's the current level of gasoline I have in liters?", "when_to_use": "When managing vehicle fuel levels and unit conversions", "category": "success", "created_time": "2025-09-20 11:46:02", "modified_time": "2025-09-20 11:46:02", "generalized_query": "Convert vehicle fuel measurements between gallons and liters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "dfd119d776de4013afe2fde322421eb2", "memory_type": "procedural", "when_to_use": "When handling vehicle ignition system prerequisites", "content": "Successfully followed the required sequence: locking all doors, pressing the brake pedal, then starting the engine. This pattern ensures compliance with vehicle safety protocols for engine ignition.", "score": 0, "time_created": "2025-09-20 11:46:02", "time_modified": "2025-09-20 11:46:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Engage the 'START' ignition mode to ready the vehicle", "when_to_use": "When handling vehicle ignition system prerequisites", "category": "success", "created_time": "2025-09-20 11:46:02", "modified_time": "2025-09-20 11:46:02", "generalized_query": "Execute vehicle engine start sequence with safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "8c99cff95e6a4f58a87d7e4d7a6348c5", "memory_type": "procedural", "when_to_use": "When troubleshooting persistent tool errors", "content": "Repeated function calls with identical parameters indicate need for parameter validation and error message analysis to identify root causes", "score": 0, "time_created": "2025-09-20 11:46:12", "time_modified": "2025-09-20 11:46:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "It seems there's a persistent issue with filling the tank due to unit discrepancies...", "when_to_use": "When troubleshooting persistent tool errors", "category": "failure", "created_time": "2025-09-20 11:46:12", "modified_time": "2025-09-20 11:46:12", "generalized_query": "Identifying and resolving recurring tool execution errors", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "62cf46f6e520498e9dd9b70359dce0f9", "memory_type": "procedural", "when_to_use": "When a user requests flight cost estimation between specific airports with class and date specifications", "content": "Directly using the get_flight_cost function with parameters (travel_from, travel_to, travel_date, travel_class) provides immediate cost data without unnecessary intermediaries. This works because the function is purpose-built for this exact query type.", "score": 0, "time_created": "2025-09-20 11:46:14", "time_modified": "2025-09-20 11:46:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you assist in estimating the airfare between ORD and SVP from the comprehensive list available through the system? Please note, I am considering traveling next weekend July 14th, 2024 with a preference for a business class seat.", "when_to_use": "When a user requests flight cost estimation between specific airports with class and date specifications", "category": "success", "created_time": "2025-09-20 11:46:14", "modified_time": "2025-09-20 11:46:14", "generalized_query": "Requesting flight cost estimation between two airports with specific travel date and class preferences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "46487c48027a4a8d9159fbea9464c566", "memory_type": "procedural", "when_to_use": "When users need to authenticate and manage financial parameters for travel", "content": "The sequence demonstrates effective use of authentication tokens and budget-setting tools to enable secure financial management. This pattern ensures proper system access before executing transactions.", "score": 0, "time_created": "2025-09-20 11:46:14", "time_modified": "2025-09-20 11:46:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "N/A", "when_to_use": "When users need to authenticate and manage financial parameters for travel", "category": "success", "created_time": "2025-09-20 11:46:14", "modified_time": "2025-09-20 11:46:14", "generalized_query": "Authenticating travel systems and configuring financial parameters for trip planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "74c7dd1368b74760b47e9aa64302a45e", "memory_type": "procedural", "when_to_use": "When authenticating to a travel API with client credentials and requiring read-write access", "content": "Successful authentication required using the authenticate_travel function with all required parameters (client_id, client_secret, refresh_token, grant_type, user_first_name, user_last_name). The grant_type 'read_write' was critical for enabling both read and write capabilities in the travel system.", "score": 0, "time_created": "2025-09-20 11:46:10", "time_modified": "2025-09-20 11:46:10", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I've recently joined this travel application which promises premium access to some fantastic deals. To get started, I need to access my account. My credentials are ready for you: the client ID is 'trav3lMaxID2023', the client secret is 'M@xSecret!', and the refresh token 'r3freshM3n0w'. If you could handle the authentication, I would like to set it up for both reading and writing. My first name is Maxwell, last name Edison", "when_to_use": "When authenticating to a travel API with client credentials and requiring read-write access", "category": "success", "created_time": "2025-09-20 11:46:10", "modified_time": "2025-09-20 11:46:10", "generalized_query": "Authenticate to a travel API using client credentials with read-write permissions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c2526fb78cc04895940d9fe6359e1642", "memory_type": "procedural", "when_to_use": "When encountering unexpected API errors related to parameters", "content": "If an API rejects a parameter, immediately cross-check the function's required parameters with the latest API documentation. Avoid assuming parameter validity based solely on tool definitions.", "score": 0, "time_created": "2025-09-20 11:46:25", "time_modified": "2025-09-20 11:46:25", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "book me a business class ticket from SFO to LAX for December 15, 2024", "when_to_use": "When encountering unexpected API errors related to parameters", "category": "failure", "created_time": "2025-09-20 11:46:25", "modified_time": "2025-09-20 11:46:25", "generalized_query": "Handling API errors during flight booking operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f439e4bc501b48cdabb2754790471246", "memory_type": "procedural", "when_to_use": "When verifying message history after sending communications", "content": "Both approaches successfully retrieved messages, but the higher-scoring response included explicit message IDs and clearer formatting, enhancing usability. This reflects attention to detail in providing actionable feedback, which likely contributed to the higher score despite identical functional outcomes.", "score": 0, "time_created": "2025-09-20 11:46:31", "time_modified": "2025-09-20 11:46:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you check what’s sent by me lately?", "when_to_use": "When verifying message history after sending communications", "category": "comparative", "created_time": "2025-09-20 11:46:31", "modified_time": "2025-09-20 11:46:31", "generalized_query": "Retrieve and confirm sent messages in a messaging system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "19c69f0487d84ae0a52772a0a68f0f30", "memory_type": "procedural", "when_to_use": "When needing to retrieve specific content from a file (e.g., last line)", "content": "Always use the most direct tool for the task (e.g., 'tail' for last lines, not 'diff' or 'cat')", "score": 0, "time_created": "2025-09-20 11:46:33", "time_modified": "2025-09-20 11:46:33", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you display the last line of that file for me?", "when_to_use": "When needing to retrieve specific content from a file (e.g., last line)", "category": "failure", "created_time": "2025-09-20 11:46:33", "modified_time": "2025-09-20 11:46:33", "generalized_query": "Retrieve specific content (e.g., last line) from a file in a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "60b103c9f48c4084aec4fc93cff6bc39", "memory_type": "procedural", "when_to_use": "When a user needs to retrieve their current stock watchlist and review specific stock details", "content": "Directly calling get_watchlist with no parameters efficiently retrieves the user's monitored stocks. This pattern works because the function is designed to return the entire watchlist without requiring additional filters or parameters, ensuring immediate visibility into the user's tracking preferences.", "score": 0, "time_created": "2025-09-20 11:47:02", "time_modified": "2025-09-20 11:47:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm currently exploring the StockView platform and wish to take a peek at the assortment in my stock watchlist. I'd appreciate it if you could display the stocks I'm monitoring right now.", "when_to_use": "When a user needs to retrieve their current stock watchlist and review specific stock details", "category": "success", "created_time": "2025-09-20 11:47:02", "modified_time": "2025-09-20 11:47:02", "generalized_query": "Retrieve and display user-specific stock watchlist contents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "337ee8fdb9204afcbc4c14ae4cc81acd", "memory_type": "procedural", "when_to_use": "When creating support tickets requires authentication and structured issue reporting", "content": "The sequence demonstrated proper authentication (ticket_login) before ticket creation, handling the 'User not authenticated' error. This shows the importance of checking authentication status prerequisites for ticketing system functions, ensuring secure and successful issue reporting.", "score": 0, "time_created": "2025-09-20 11:47:02", "time_modified": "2025-09-20 11:47:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "initiating a priority level 3 support ticket labeled 'Urgent: Transaction Issue' with description about canceled buy order", "when_to_use": "When creating support tickets requires authentication and structured issue reporting", "category": "success", "created_time": "2025-09-20 11:47:02", "modified_time": "2025-09-20 11:47:02", "generalized_query": "Create a support ticket for transaction-related issues", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "8df51def059d4b749fb146033f9765c6", "memory_type": "procedural", "when_to_use": "When providing account information or transaction confirmations", "content": "The higher-scoring response masked sensitive card information (showing only last 12 digits) and explicitly mentioned no open orders existed. This demonstrated better information hygiene compared to the lower-scoring response which showed full card numbers without redaction, potentially exposing more sensitive data.", "score": 0, "time_created": "2025-09-20 11:47:05", "time_modified": "2025-09-20 11:47:05", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "A summary of my present account balance along with pertinent data would be highly beneficial.", "when_to_use": "When providing account information or transaction confirmations", "category": "comparative", "created_time": "2025-09-20 11:47:05", "modified_time": "2025-09-20 11:47:05", "generalized_query": "Requesting account balance and transaction information verification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c5d5cb4949034b1daebe246520eba50e", "memory_type": "procedural", "when_to_use": "When creating a new file with initial content", "content": "Using 'touch' to create the file first ensures the file exists, then 'echo' writes the content directly. This two-step approach guarantees both file creation and content population in a single atomic operation.", "score": 0, "time_created": "2025-09-20 11:47:02", "time_modified": "2025-09-20 11:47:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I need you to draft a comprehensive guide for our new initiative, and let's name it 'Project_Guide_1.md'. Put 'Comprehensive guide for the new initiative.' in it.", "when_to_use": "When creating a new file with initial content", "category": "success", "created_time": "2025-09-20 11:47:02", "modified_time": "2025-09-20 11:47:02", "generalized_query": "Create a file with a specific name and populate it with initial content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a692b23ecef84975aa1dda40dbe21e1b", "memory_type": "procedural", "when_to_use": "When needing human-readable disk usage information", "content": "Setting the 'human_readable' parameter to true in the 'du' function transforms technical byte counts into intuitive units (e.g., KB/MB), making the output immediately useful for non-technical stakeholders.", "score": 0, "time_created": "2025-09-20 11:47:02", "time_modified": "2025-09-20 11:47:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I would love to get the human-readable disk usage of the current working directory.", "when_to_use": "When needing human-readable disk usage information", "category": "success", "created_time": "2025-09-20 11:47:02", "modified_time": "2025-09-20 11:47:02", "generalized_query": "Retrieve disk usage statistics in an easily understandable format", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "42721a6c8569448bbdbcd27e4d63a710", "memory_type": "procedural", "when_to_use": "When resolving tickets without immediate resolution details", "content": "Using an empty string for the resolution parameter in 'resolve_ticket' allows for provisional closure while maintaining flexibility to add details later, avoiding premature commitment to specific resolution language.", "score": 0, "time_created": "2025-09-20 11:47:02", "time_modified": "2025-09-20 11:47:02", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "There's a minor snag in our ticketing system. Ticket #7423 is still unresolved, but with our recent brainstorming feedback, just go ahead and check it off as resolved. Leave it empty for resolve description.", "when_to_use": "When resolving tickets without immediate resolution details", "category": "success", "created_time": "2025-09-20 11:47:02", "modified_time": "2025-09-20 11:47:02", "generalized_query": "Mark a ticket as resolved without providing immediate resolution details", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "3dff687fe93f4eb0aff3420e6d3b3f3a", "memory_type": "procedural", "when_to_use": "When a user needs to add a specific stock to their watchlist and immediately verify the updated watchlist contents", "content": "Successfully executed a two-step process: first using 'add_to_watchlist' with the correct stock symbol, then immediately calling 'get_watchlist' to confirm the addition. This ensures atomicity and verification in watchlist modifications.", "score": 0, "time_created": "2025-09-20 11:47:58", "time_modified": "2025-09-20 11:47:58", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you kindly integrate Apple's stock into my current watchlist and subsequently provide me with a detailed breakdown of the watchlist's contents?", "when_to_use": "When a user needs to add a specific stock to their watchlist and immediately verify the updated watchlist contents", "category": "success", "created_time": "2025-09-20 11:47:58", "modified_time": "2025-09-20 11:47:58", "generalized_query": "Add [specific stock] to watchlist and retrieve updated watchlist contents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "294db0fe061b485baac9bea672bfd1d1", "memory_type": "procedural", "when_to_use": "When presenting technical analysis of a stock's price movement", "content": "Successfully interpreted stock data by comparing current price to 5-day and 20-day moving averages. This technique helps identify short-term momentum (5-day MA) versus long-term trends (20-day MA), providing actionable market context.", "score": 0, "time_created": "2025-09-20 11:48:00", "time_modified": "2025-09-20 11:48:00", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Please retrieve and delivery of comprehensive information about the stock NVDA.", "when_to_use": "When presenting technical analysis of a stock's price movement", "category": "success", "created_time": "2025-09-20 11:48:00", "modified_time": "2025-09-20 11:48:00", "generalized_query": "Analyze [stock_symbol]'s price position relative to moving averages", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "996d4b1037cf4f6a91ca4d861ac235b8", "memory_type": "procedural", "when_to_use": "When summing multiple numerical values obtained from prior operations", "content": "Use the sum_values function for aggregating lists of numbers instead of chaining add operations, which reduces error risk and improves efficiency.", "score": 0, "time_created": "2025-09-20 11:47:50", "time_modified": "2025-09-20 11:47:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you compute the average of the three numerical value obtained? Just for my personal use.", "when_to_use": "When summing multiple numerical values obtained from prior operations", "category": "failure", "created_time": "2025-09-20 11:47:50", "modified_time": "2025-09-20 11:47:50", "generalized_query": "Calculating the average of multiple numerical values from previous results", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "fbad4bc315824ad9aebad13f796b5cb7", "memory_type": "procedural", "when_to_use": "When verifying file content statistics", "content": "Always verify file metadata using the wc tool with explicit mode parameters to avoid ambiguous interpretations of 'words' (e.g., delimiter sensitivity).", "score": 0, "time_created": "2025-09-20 11:47:50", "time_modified": "2025-09-20 11:47:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Provide a summary of the lines, words, and characters in the previous file. It's crucial, like measuring the script's length, to grasp the scope of our data narrative.", "when_to_use": "When verifying file content statistics", "category": "failure", "created_time": "2025-09-20 11:47:50", "modified_time": "2025-09-20 11:47:50", "generalized_query": "Obtaining file metadata (lines, words, characters) for data validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d8463225c7394d5680482ccbb5a60fc4", "memory_type": "procedural", "when_to_use": "When preparing files for data analysis", "content": "Use the echo command with explicit newline characters (\n) to ensure proper CSV row separation, avoiding potential parsing errors in downstream analysis.", "score": 0, "time_created": "2025-09-20 11:47:50", "time_modified": "2025-09-20 11:47:50", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Infuse 'DataSet1.csv' with some preliminary numbers for our initial analytical exploration... You should copy as it is and split by line each each row", "when_to_use": "When preparing files for data analysis", "category": "failure", "created_time": "2025-09-20 11:47:50", "modified_time": "2025-09-20 11:47:50", "generalized_query": "Populating CSV files with structured data while maintaining formatting integrity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "7305dee9d3a1480eb989534773b0bc94", "memory_type": "procedural", "when_to_use": "When determining market status before executing trades", "content": "Successfully determined market status by first retrieving the current time via get_current_time, then using update_market_status with the timestamp. This two-step verification ensures accurate market state assessment before trading decisions.", "score": 0, "time_created": "2025-09-20 11:48:31", "time_modified": "2025-09-20 11:48:31", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Enlighten me, is the market open or closed given the time right now?", "when_to_use": "When determining market status before executing trades", "category": "success", "created_time": "2025-09-20 11:48:31", "modified_time": "2025-09-20 11:48:31", "generalized_query": "Check the current market status based on real-time data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "413c90d2b68c4ffbb486cf43e9d591a2", "memory_type": "procedural", "when_to_use": "When a user requests to remove a stock from their watchlist", "content": "Successfully identified the first watchlist item (NVDA) and used the remove_stock_from_watchlist tool with the correct symbol parameter. The action was confirmed with a clear status response and updated the user on their revised watchlist.", "score": 0, "time_created": "2025-09-20 11:48:57", "time_modified": "2025-09-20 11:48:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Would you mind taking the first one off my watchlist?", "when_to_use": "When a user requests to remove a stock from their watchlist", "category": "success", "created_time": "2025-09-20 11:48:57", "modified_time": "2025-09-20 11:48:57", "generalized_query": "Remove a specific stock symbol from the user's watchlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "eeb9edc58cc74254a3a856b96560525a", "memory_type": "procedural", "when_to_use": "When canceling an order based on user reconsideration", "content": "Directly used the cancel_order tool with the specific order_id parameter retrieved from prior steps. The cancellation was confirmed immediately, ensuring the user's request was fulfilled without unnecessary delays.", "score": 0, "time_created": "2025-09-20 11:48:57", "time_modified": "2025-09-20 11:48:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I think I should cancel that last order. I need to rethink my strategy...", "when_to_use": "When canceling an order based on user reconsideration", "category": "success", "created_time": "2025-09-20 11:48:57", "modified_time": "2025-09-20 11:48:57", "generalized_query": "Cancel a pending order using its unique order ID", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a0b4025b94dd45b595f048e015b4c894", "memory_type": "procedural", "when_to_use": "When ensuring vehicle readiness for a journey requires multi-step safety and maintenance checks", "content": "The higher-scoring approach demonstrated superior task completion by proactively addressing all safety dependencies (e.g., brake pedal engagement before engine start) and maintaining systematic verification of each step. It also extended the preparation process to include tire pressure validation and automatic navigation setup to a service center, whereas the lower-scoring sequence omitted critical action steps like setting navigation to the tire shop despite identifying the need.", "score": 0, "time_created": "2025-09-20 11:48:53", "time_modified": "2025-09-20 11:48:53", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Ensure the fuel tank is replenished adequately by adding 38 liters of gasoline... make certain that all doors are secure, and the parking brake is engaged as a safety measure.", "when_to_use": "When ensuring vehicle readiness for a journey requires multi-step safety and maintenance checks", "category": "comparative", "created_time": "2025-09-20 11:48:53", "modified_time": "2025-09-20 11:48:53", "generalized_query": "Executing vehicle pre-trip safety and maintenance protocols", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a5eacc2b43564dc2addbdb8cabfcd5fa", "memory_type": "procedural", "when_to_use": "When handling fuel volume conversions with rounding requirements", "content": "The agent correctly converted 38 liters to gallons (10.0385 ≈ 10 gallons) using liter_to_gallon, adhering to the rounding requirement. This ensures fuel system compatibility while maintaining user-specified constraints.", "score": 0, "time_created": "2025-09-20 11:48:57", "time_modified": "2025-09-20 11:48:57", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Ensure the fuel tank is replenished adequately by adding 38 liters of gasoline... Only fill with integer amount for volume; round when not integer.", "when_to_use": "When handling fuel volume conversions with rounding requirements", "category": "success", "created_time": "2025-09-20 11:48:57", "modified_time": "2025-09-20 11:48:57", "generalized_query": "Fuel volume conversion and rounding compliance", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "985f7ba0ef0547a8b51d931436c29ecf", "memory_type": "procedural", "when_to_use": "When creating a file in a specific directory and ensuring it does not already exist", "content": "The sequence checked for the file's existence using 'find' before creating it with 'touch', ensuring no overwrite. This pattern prevents data loss by verifying existence first.", "score": 0, "time_created": "2025-09-20 11:49:19", "time_modified": "2025-09-20 11:49:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Kindly draft a document titled 'project_summary.txt' right here in documents directory. Yield an error if it already exists.", "when_to_use": "When creating a file in a specific directory and ensuring it does not already exist", "category": "success", "created_time": "2025-09-20 11:49:19", "modified_time": "2025-09-20 11:49:19", "generalized_query": "Create a file in a specified directory if it does not already exist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f2e4a8a917ce4810bfbf92f34cdcbeaf", "memory_type": "procedural", "when_to_use": "When searching for specific content within a file", "content": "The 'grep' tool was used to search for the term 'Progress'. Even though no matches were found, the correct tool and parameters were applied, demonstrating proper search methodology.", "score": 0, "time_created": "2025-09-20 11:49:19", "time_modified": "2025-09-20 11:49:19", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "In the contents of 'summary_2024.txt', please fish out and highlight any lines featuring the term 'Progress'", "when_to_use": "When searching for specific content within a file", "category": "success", "created_time": "2025-09-20 11:49:19", "modified_time": "2025-09-20 11:49:19", "generalized_query": "Search for specific text patterns within a file", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f734578c5c864b74a41e3a6ade21bf9d", "memory_type": "procedural", "when_to_use": "When handling tool parameter constraints", "content": "Respect tool-specific constraints: separate directory navigation from file operations when paths are restricted in parameters", "score": 0, "time_created": "2025-09-20 11:49:40", "time_modified": "2025-09-20 11:49:40", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "mv: no path allowed in destination. Only file name and folder name is supported", "when_to_use": "When handling tool parameter constraints", "category": "failure", "created_time": "2025-09-20 11:49:40", "modified_time": "2025-09-20 11:49:40", "generalized_query": "Working with tools that restrict path parameters in destinations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "494bcb679450492aa2840ced0879ff15", "memory_type": "procedural", "when_to_use": "When initiating engine start sequences", "content": "Always verify prerequisite safety conditions (locked doors, engaged brake) before attempting to start the engine", "score": 0, "time_created": "2025-09-20 11:49:06", "time_modified": "2025-09-20 11:49:06", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'd be grateful if you could initiate the engine in 'START' mode for me.", "when_to_use": "When initiating engine start sequences", "category": "failure", "created_time": "2025-09-20 11:49:06", "modified_time": "2025-09-20 11:49:06", "generalized_query": "Executing vehicle engine start procedures with safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "32d59626f9b1473e9a0f86151f0c9510", "memory_type": "procedural", "when_to_use": "When converting units and requiring precise decimal formatting as per user instructions", "content": "The higher-scoring approach correctly rounded the converted value (7.92516 → 7.93) to match the user's 2-decimal requirement, while the lower-scoring approach truncated to 7.92. This precision adherence ensured alignment with explicit user instructions, demonstrating attention to detail in numerical formatting.", "score": 0, "time_created": "2025-09-20 11:49:16", "time_modified": "2025-09-20 11:49:16", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I am at the gas station and ready to fill up my car with gasoline. I would appreciate it if you could manage filling 30 liters into my vehicle to ensure it's properly fueled for the journey ahead. Use 2 decimal digit of the gallon amount", "when_to_use": "When converting units and requiring precise decimal formatting as per user instructions", "category": "comparative", "created_time": "2025-09-20 11:49:16", "modified_time": "2025-09-20 11:49:16", "generalized_query": "Accurate unit conversion with strict decimal precision requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "70a32873c5ca4f178ff80b1720b8f14a", "memory_type": "procedural", "when_to_use": "When providing diagnostic feedback after system checks", "content": "The higher-scoring response identified a subtle imbalance in tire pressures (front vs rear) and explicitly advised consulting manufacturer guidelines, whereas the lower-scoring response only stated 'healthy' without highlighting the discrepancy. This additional context provided more value for troubleshooting, aligning with higher-quality diagnostic communication.", "score": 0, "time_created": "2025-09-20 11:49:16", "time_modified": "2025-09-20 11:49:16", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Would you mind checking the tire pressure to confirm everything's in good working order?", "when_to_use": "When providing diagnostic feedback after system checks", "category": "comparative", "created_time": "2025-09-20 11:49:16", "modified_time": "2025-09-20 11:49:16", "generalized_query": "Request for diagnostic system checks with actionable insights", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "191e5b6f3f054867869f0cae9d42b262", "memory_type": "procedural", "when_to_use": "When performing mathematical operations on heterogeneous data (e.g., mixing financial metrics with different units)", "content": "Always validate data compatibility and units before performing mathematical operations; avoid averaging values with fundamentally different measurement contexts (e.g., dollars vs. shares vs. moving averages).", "score": 0, "time_created": "2025-09-20 11:49:53", "time_modified": "2025-09-20 11:49:53", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Using the current details of the 'AAPL' stock, calculate the average of price, trading volume, MA5, and MA20.", "when_to_use": "When performing mathematical operations on heterogeneous data (e.g., mixing financial metrics with different units)", "category": "failure", "created_time": "2025-09-20 11:49:53", "modified_time": "2025-09-20 11:49:53", "generalized_query": "Calculating an average of mixed numerical values with differing units or contextual meanings", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d401124444654b87a0877e8ef99e54d4", "memory_type": "procedural", "when_to_use": "When designing workflows involving multiple tool calls", "content": "Implement intermediate validation steps between tool calls to detect inconsistencies or incompatible data early in the workflow.", "score": 0, "time_created": "2025-09-20 11:49:53", "time_modified": "2025-09-20 11:49:53", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Update the market status for me, as I need to know the current outlook.", "when_to_use": "When designing workflows involving multiple tool calls", "category": "failure", "created_time": "2025-09-20 11:49:53", "modified_time": "2025-09-20 11:49:53", "generalized_query": "Executing multi-step processes requiring sequential tool calls", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "63b0a5e77a9449029a32585857eaca1a", "memory_type": "procedural", "when_to_use": "When needing to update market status based on real-time data", "content": "Successfully used get_current_time followed by update_market_status to synchronize market status with actual time. This sequential verification ensures accurate status updates aligned with real-world conditions.", "score": 0, "time_created": "2025-09-20 11:49:55", "time_modified": "2025-09-20 11:49:55", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Update the market status for me, as I need to know the current outlook.", "when_to_use": "When needing to update market status based on real-time data", "category": "success", "created_time": "2025-09-20 11:49:55", "modified_time": "2025-09-20 11:49:55", "generalized_query": "Determine system status based on real-time temporal data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "b1a56af2c56a4818a129dad5017bd067", "memory_type": "procedural", "when_to_use": "When executing stock trades requiring real-time data validation", "content": "Successful execution required first retrieving stock price data via get_stock_info before placing the order. This ensured the trade was based on current market conditions rather than stale data, reducing risk of price discrepancies during execution.", "score": 0, "time_created": "2025-09-20 11:50:13", "time_modified": "2025-09-20 11:50:13", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Upon reviewing the available stocks in Technology, please arrange the acquisition of 150 Microsoft shares at the going market rate", "when_to_use": "When executing stock trades requiring real-time data validation", "category": "success", "created_time": "2025-09-20 11:50:13", "modified_time": "2025-09-20 11:50:13", "generalized_query": "Execute a stock purchase order after verifying current market price", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "541174c2238f4cbb9b0c84d2d5c50719", "memory_type": "procedural", "when_to_use": "When a user requests to retrieve their current watchlist of stocks", "content": "Directly calling the get_watchlist function with no parameters effectively retrieves the user's watchlist. This works because the function is specifically designed to return the current watchlist without requiring additional filters or parameters.", "score": 0, "time_created": "2025-09-20 11:50:38", "time_modified": "2025-09-20 11:50:38", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you help me by identifying the stocks currently present on my watchlist?", "when_to_use": "When a user requests to retrieve their current watchlist of stocks", "category": "success", "created_time": "2025-09-20 11:50:38", "modified_time": "2025-09-20 11:50:38", "generalized_query": "Retrieve the list of stocks in the user's watchlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "bea6f39eb9fa4390aae5787abb53ef7a", "memory_type": "procedural", "when_to_use": "When initiating actions that require specific identifiers like booking IDs or access tokens", "content": "Always verify the presence of required parameters (e.g., booking IDs, access tokens) before initiating system actions to prevent errors", "score": 0, "time_created": "2025-09-20 11:50:51", "time_modified": "2025-09-20 11:50:51", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I've been issued a new credit card with id 'card_4893'... Could we expedite this and use my booking record for booking_id, as I have an impending meeting?", "when_to_use": "When initiating actions that require specific identifiers like booking IDs or access tokens", "category": "failure", "created_time": "2025-09-20 11:50:51", "modified_time": "2025-09-20 11:50:51", "generalized_query": "Requesting expedited action on a transaction requiring missing critical identifiers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "bebfaf91a97943c8a09927ed4fa6ef7f", "memory_type": "procedural", "when_to_use": "When comparing files in a directory with ambiguous or similar names", "content": "Used 'find' to locate files, then 'ls' to verify exact names when initial search results were incomplete. Correctly used 'diff' after confirming precise filenames, demonstrating the importance of verification steps before file comparison.", "score": 0, "time_created": "2025-09-20 11:51:14", "time_modified": "2025-09-20 11:51:14", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Look for draft and final report in my current directory. Compare the content difference of both.", "when_to_use": "When comparing files in a directory with ambiguous or similar names", "category": "success", "created_time": "2025-09-20 11:51:14", "modified_time": "2025-09-20 11:51:14", "generalized_query": "Compare content differences between two files with similar names in a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "b8b2c9ad44bf4db283d7c4cdf5115b96", "memory_type": "procedural", "when_to_use": "When needing to locate and access a file in a nested directory structure", "content": "Systematically navigated directory structure using 'ls' and 'cd' to locate target file, demonstrating proactive verification before file operations. This prevents errors from incorrect file paths and ensures user confirmation of file existence.", "score": 0, "time_created": "2025-09-20 11:50:36", "time_modified": "2025-09-20 11:50:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Could you roll the content out for me to have a look-see?", "when_to_use": "When needing to locate and access a file in a nested directory structure", "category": "success", "created_time": "2025-09-20 11:50:36", "modified_time": "2025-09-20 11:50:36", "generalized_query": "Accessing and verifying file content in a workspace directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "4efaa26c45c44a79afb415d3ff5ffd9e", "memory_type": "procedural", "when_to_use": "When sharing analytical findings with professional networks", "content": "Executed secure authentication followed by strategic tweet composition with mentions and hashtags. Separated credential handling from content posting for security, demonstrating proper API usage patterns and professional networking techniques.", "score": 0, "time_created": "2025-09-20 11:50:36", "time_modified": "2025-09-20 11:50:36", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Toss a tweet out there about this comparative analysis, mentions @colleagues, and throw in #ProjectInsight", "when_to_use": "When sharing analytical findings with professional networks", "category": "success", "created_time": "2025-09-20 11:50:36", "modified_time": "2025-09-20 11:50:36", "generalized_query": "Social media sharing of analytical results with targeted audiences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "94b4058d9232455db3450f01365def9e", "memory_type": "procedural", "when_to_use": "When interpreting sensor data or tool responses that include status flags or thresholds", "content": "Always validate tool-provided status flags (e.g., 'healthy_tire_pressure') against explicit numerical thresholds to avoid accepting contradictory or logically inconsistent data.", "score": 0, "time_created": "2025-09-20 11:51:56", "time_modified": "2025-09-20 11:51:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm gearing up for a quick business getaway and need my ride all set. Would you be able to verify if my tire pressure is in check? If it falls under 37.5 PSI, perhaps we could swing by the nearest tire shop?", "when_to_use": "When interpreting sensor data or tool responses that include status flags or thresholds", "category": "failure", "created_time": "2025-09-20 11:51:56", "modified_time": "2025-09-20 11:51:56", "generalized_query": "Verifying sensor data against predefined thresholds and ensuring logical consistency in tool responses", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f62feb21b32449b98d5c350e24e85e15", "memory_type": "procedural", "when_to_use": "When executing social media actions that require authentication", "content": "Precede account-modifying actions (e.g., posting tweets) with explicit authentication checks to ensure session validity and avoid silent failures.", "score": 0, "time_created": "2025-09-20 11:51:56", "time_modified": "2025-09-20 11:51:56", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "While we head over to ensure my tires are roadworthy, I'd like to send out a swift update on my business account. Let's post a tweet: 'Ensuring my wheels are well-maintained. Maintenance is key to success!' with the hashtag 'BusinessOnTheMove'.", "when_to_use": "When executing social media actions that require authentication", "category": "failure", "created_time": "2025-09-20 11:51:56", "modified_time": "2025-09-20 11:51:56", "generalized_query": "Performing actions on user accounts that require authentication without explicit login confirmation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "65a08c2a25d6485c999ad7a14f60d3f4", "memory_type": "procedural", "when_to_use": "When placing orders based on prevailing market prices", "content": "Always verify the current market price of the stock before placing an order, rather than assuming or using outdated price data", "score": 0, "time_created": "2025-09-20 11:52:12", "time_modified": "2025-09-20 11:52:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm reviewing my account, and I'd like you to confirm the current balance and provide the account details. Subsequently, initiate a purchase order for 150 shares of TSLA at the prevailing market price leveraging my account balance.", "when_to_use": "When placing orders based on prevailing market prices", "category": "failure", "created_time": "2025-09-20 11:52:12", "modified_time": "2025-09-20 11:52:12", "generalized_query": "Executing a stock purchase order using current market data and available funds", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "9486f67146db4486a5d2b4c18df0a900", "memory_type": "procedural", "when_to_use": "When handling user requests for order modifications or cancellations", "content": "Always confirm the specific order ID and current status before executing cancellation or modification actions to avoid operating on stale or incorrect order data", "score": 0, "time_created": "2025-09-20 11:52:12", "time_modified": "2025-09-20 11:52:12", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Kindly revoke the order we talked about earlier.", "when_to_use": "When handling user requests for order modifications or cancellations", "category": "failure", "created_time": "2025-09-20 11:52:12", "modified_time": "2025-09-20 11:52:12", "generalized_query": "Managing order lifecycle actions (cancel, modify, check status)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "427c51e9ddf941c6b14263f0aabaa273", "memory_type": "procedural", "when_to_use": "When encountering unexpected parameter errors during flight booking", "content": "Successfully resolved a booking error by omitting the 'travel_cost' parameter (which was auto-calculated via get_flight_cost) and re-attempting the booking. This demonstrates the importance of aligning parameters with API requirements and leveraging prior cost calculations.", "score": 0, "time_created": "2025-09-20 11:51:44", "time_modified": "2025-09-20 11:51:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange this flight using my pre-linked credit card with id 'card_123456789' and access token 'abc123xyz'", "when_to_use": "When encountering unexpected parameter errors during flight booking", "category": "success", "created_time": "2025-09-20 11:51:44", "modified_time": "2025-09-20 11:51:44", "generalized_query": "Book a flight with specific payment details after resolving API parameter mismatches", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "649975aa682e4553bec1e1da33885e94", "memory_type": "procedural", "when_to_use": "When coordinating cross-functional updates after complex transactions", "content": "Combined message_login and send_message to notify stakeholders about booking issues, demonstrating the importance of real-time communication frameworks in enterprise workflows.", "score": 0, "time_created": "2025-09-20 11:51:44", "time_modified": "2025-09-20 11:51:44", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "brief my colleague Catherine (id='USR003') on the situation", "when_to_use": "When coordinating cross-functional updates after complex transactions", "category": "success", "created_time": "2025-09-20 11:51:44", "modified_time": "2025-09-20 11:51:44", "generalized_query": "Notify team members of operational updates via secure messaging", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "4ccd483f38b24e8ba57419de31ab4e3f", "memory_type": "procedural", "when_to_use": "When using API functions that may have outdated or conflicting parameter definitions", "content": "Always validate function parameters against actual API behavior, not just tool definitions, as discrepancies can lead to errors.", "score": 0, "time_created": "2025-09-20 11:52:09", "time_modified": "2025-09-20 11:52:09", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Arrange this flight using my pre-linked credit card with id 'card_123456789' and access token 'abc123xyz'", "when_to_use": "When using API functions that may have outdated or conflicting parameter definitions", "category": "failure", "created_time": "2025-09-20 11:52:09", "modified_time": "2025-09-20 11:52:09", "generalized_query": "Booking a flight with specific parameters via an API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d344f6e828494c50b85a848b85a57f05", "memory_type": "procedural", "when_to_use": "When a task requires rounding numerical values to a specific precision, even if the current value appears to be an integer.", "content": "Always use the appropriate tool (e.g., round_number) for rounding operations explicitly requested by the user, rather than assuming the value is already correctly formatted.", "score": 0, "time_created": "2025-09-20 11:52:35", "time_modified": "2025-09-20 11:52:35", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Can you write the answer rounded in nearest integer into a new file named 'MeanRevenue.txt'? Just the number and nothing", "when_to_use": "When a task requires rounding numerical values to a specific precision, even if the current value appears to be an integer.", "category": "failure", "created_time": "2025-09-20 11:52:35", "modified_time": "2025-09-20 11:52:35", "generalized_query": "Writing a rounded numerical value to a file based on a calculation.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "55837971e22548e9b5ed5239bcec36f4", "memory_type": "procedural", "when_to_use": "When handling file operations, especially creating or overwriting files, ensure the correct tool is used for the task.", "content": "Verify that the content being written to a file matches the user's exact requirements, including formatting and precision, and use the correct tool (e.g., echo) for writing content.", "score": 0, "time_created": "2025-09-20 11:52:35", "time_modified": "2025-09-20 11:52:35", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Can you write the answer rounded in nearest integer into a new file named 'MeanRevenue.txt'? Just the number and nothing", "when_to_use": "When handling file operations, especially creating or overwriting files, ensure the correct tool is used for the task.", "category": "failure", "created_time": "2025-09-20 11:52:35", "modified_time": "2025-09-20 11:52:35", "generalized_query": "Creating a new file with specific content based on a calculation.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "2e887c26f87748c9bdb670c4803fda90", "memory_type": "procedural", "when_to_use": "When preparing a vehicle for a trip requiring precise fuel management", "content": "The higher-scoring approach systematically checked current fuel levels (via displayCarStatus) before filling, avoiding overfilling errors. It used precise fuelAmount calculations (35.0 gallons to reach 50.0 tank capacity) versus the lower-scoring approach's direct 50-gallon fill attempt that triggered an error. This incremental verification and calculation ensured compliance with tank capacity constraints.", "score": 0, "time_created": "2025-09-20 11:52:52", "time_modified": "2025-09-20 11:52:52", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "I'm about to embark on a road trip adventure and I want my car to be in peak condition. Could you make sure to increase the current fuel level to ensure that my tank is full, so I don't have to keep stopping to refuel along the way?", "when_to_use": "When preparing a vehicle for a trip requiring precise fuel management", "category": "comparative", "created_time": "2025-09-20 11:52:52", "modified_time": "2025-09-20 11:52:52", "generalized_query": "Ensuring vehicle fuel levels are optimized for long-distance travel", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_14b", "memory_id": "9276bc3f64ff4c9f927c59e73ed3d2c1", "memory_type": "procedural", "when_to_use": "When executing critical vehicle operations (e.g., starting the engine) that require prerequisite conditions (e.g., locked doors, pressed brake).", "content": "Critical operations (e.g., engine start) must be preceded by explicit checks of prerequisite conditions (e.g., door locks, brake pedal status) to prevent failures.", "score": 0, "time_created": "2025-09-20 11:53:03", "time_modified": "2025-09-20 11:53:03", "author": "qwen3-14b", "metadata": {"author": "qwen3-14b", "task_query": "Before I hit the open road, I need to get the engine running smoothly. Can you confirm there's enough fuel, and ensure the engine's primed for a seamless start?", "when_to_use": "When executing critical vehicle operations (e.g., starting the engine) that require prerequisite conditions (e.g., locked doors, pressed brake).", "category": "failure", "created_time": "2025-09-20 11:53:03", "modified_time": "2025-09-20 11:53:03", "generalized_query": "Execution of vehicle operations requiring prerequisite condition checks.", "utility": 0, "freq": 0}}
|
||||
|
|
@ -1,99 +0,0 @@
|
|||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "43cb31dcaa6746fa8c6cee9a27c45758", "memory_type": "procedural", "when_to_use": "When a user requests stock information and subsequent watchlist management", "content": "The agent first resolved the stock symbol using get_symbol_by_name, then fetched detailed stock data via get_stock_info. This sequential approach ensures accurate data retrieval before actionable steps like adding to a watchlist. The pattern of 'identifier resolution → data fetching → action execution' creates a reliable workflow for stock-related tasks.", "score": 0, "time_created": "2025-09-19 10:21:10", "time_modified": "2025-09-19 10:21:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "For your investment portfolio, could you inform me of the current price of 'Quasar Ltd.'?", "when_to_use": "When a user requests stock information and subsequent watchlist management", "category": "success", "created_time": "2025-09-19 10:21:10", "modified_time": "2025-09-19 10:21:10", "generalized_query": "Retrieve stock price and manage watchlist for a specific equity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "974efbafb11f41a198175470b1e3fc43", "memory_type": "procedural", "when_to_use": "When auditing user interaction history for accountability or analysis", "content": "The use of view_messages_sent provided complete transparency into message history, enabling verification of communication records. This is critical for maintaining trust in user-agent interactions.", "score": 0, "time_created": "2025-09-19 10:21:09", "time_modified": "2025-09-19 10:21:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you please display all the messages I have sent so far?", "when_to_use": "When auditing user interaction history for accountability or analysis", "category": "success", "created_time": "2025-09-19 10:21:09", "modified_time": "2025-09-19 10:21:09", "generalized_query": "Retrieve historical messages sent by the current user", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "96b2afcfd2b241739420ecc81a0f645d", "memory_type": "procedural", "when_to_use": "When determining market status for trading decisions", "content": "Use get_current_time to obtain the current time, then update_market_status with this time to determine market status. This ensures accurate timing-based market status verification.", "score": 0, "time_created": "2025-09-19 10:21:10", "time_modified": "2025-09-19 10:21:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Provide a real-time update on the market status. Is it currently open or closed?", "when_to_use": "When determining market status for trading decisions", "category": "success", "created_time": "2025-09-19 10:21:10", "modified_time": "2025-09-19 10:21:10", "generalized_query": "Check current market status for trading readiness", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "50d083a8b2ef43b29852054b7a4586fb", "memory_type": "procedural", "when_to_use": "When evaluating stocks for watchlist inclusion", "content": "Combine get_stock_info for real-time metrics with notify_price_change for volatility checks. This provides a complete picture of stock performance and potential risks/rewards.", "score": 0, "time_created": "2025-09-19 10:21:10", "time_modified": "2025-09-19 10:21:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I require a comprehensive analysis of the stock with Amazon...", "when_to_use": "When evaluating stocks for watchlist inclusion", "category": "success", "created_time": "2025-09-19 10:21:10", "modified_time": "2025-09-19 10:21:10", "generalized_query": "Analyze stock fundamentals and price behavior", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "63d041f00a3c46ba9e6867029b7d1714", "memory_type": "procedural", "when_to_use": "Before initiating any long-distance drive or vehicle operation", "content": "Always verify fuel sufficiency using both mileage estimation and current fuel level checks before attempting long drives. Critical safety steps like brake pedal activation must be completed before engine start.", "score": 0, "time_created": "2025-09-19 10:21:12", "time_modified": "2025-09-19 10:21:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Is this something I could realistically pull off? I just want to know an answer; you don't need to refill if it's not reachable. If it is reachable, set navigation to '1914 7th St, Apt B, Berkeley, CA 94710'.", "when_to_use": "Before initiating any long-distance drive or vehicle operation", "category": "failure", "created_time": "2025-09-19 10:21:12", "modified_time": "2025-09-19 10:21:12", "generalized_query": "Assess trip feasibility and configure navigation for a destination", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b094e9268ed54033bf15ba8a276f80de", "memory_type": "procedural", "when_to_use": "When updating navigation destinations during a trip", "content": "Navigation updates should be validated for route feasibility and safety implications, especially when altering destinations during an active trip configuration.", "score": 0, "time_created": "2025-09-19 10:21:12", "time_modified": "2025-09-19 10:21:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Would you be so kind as to set up the navigation system to take me to 2107 Channing Way, Berkeley, CA?", "when_to_use": "When updating navigation destinations during a trip", "category": "failure", "created_time": "2025-09-19 10:21:12", "modified_time": "2025-09-19 10:21:12", "generalized_query": "Modify navigation destination mid-trajectory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7a5982596a2b4199bd860dd50b79c4bc", "memory_type": "procedural", "when_to_use": "When handling multi-step vehicle maintenance tasks requiring precise unit conversions and system checks", "content": "The higher-scoring approach systematically addressed all prerequisites (door locks, brake pedal) before critical actions (engine start), used precise unit conversion with rounding, and completed the full workflow from fuel refill to tire pressure analysis. The lower-scoring approach stopped after fuel refill, missing subsequent system checks and error handling for safety protocols.", "score": 0, "time_created": "2025-09-19 10:21:12", "time_modified": "2025-09-19 10:21:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Refill with 10 liters of gasoline to keep the adventure alive. Use 2 decimal digit of the gallon amount", "when_to_use": "When handling multi-step vehicle maintenance tasks requiring precise unit conversions and system checks", "category": "comparative", "created_time": "2025-09-19 10:21:12", "modified_time": "2025-09-19 10:21:12", "generalized_query": "Convert a volume measurement between units and perform system checks for vehicle readiness", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "76488790483041ea97606a4191179884", "memory_type": "procedural", "when_to_use": "When booking a flight and needing to cancel it immediately due to unexpected schedule changes", "content": "The agent successfully booked a flight using correct parameters (access_token, card_id, travel_date, etc.) after identifying and correcting the invalid 'travel_cost' parameter. The cancellation was executed immediately after booking, demonstrating error handling and process efficiency. This pattern ensures minimal time between booking and cancellation while maintaining system compliance.", "score": 0, "time_created": "2025-09-19 10:21:41", "time_modified": "2025-09-19 10:21:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm planning a business class trip from JFK in New York to LAX in Los Angeles on December 15, 2024... Once booked, I'll need to cancel the trip immediately due to unexpected changes in my schedule.", "when_to_use": "When booking a flight and needing to cancel it immediately due to unexpected schedule changes", "category": "success", "created_time": "2025-09-19 10:21:41", "modified_time": "2025-09-19 10:21:41", "generalized_query": "Book a flight and cancel it immediately due to unforeseen schedule changes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4d91a2a3635346e1a46eec6246cc4b2f", "memory_type": "procedural", "when_to_use": "When creating high-priority support tickets for urgent issues", "content": "Created a priority 5 ticket with a clear description of the cancellation reason, ensuring it was queued for immediate attention. This demonstrates the effectiveness of explicitly setting priority levels and providing detailed contextual information in support tickets.", "score": 0, "time_created": "2025-09-19 10:21:40", "time_modified": "2025-09-19 10:21:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I must file a priority 5 support ticket concerning the flight cancellation", "when_to_use": "When creating high-priority support tickets for urgent issues", "category": "success", "created_time": "2025-09-19 10:21:40", "modified_time": "2025-09-19 10:21:40", "generalized_query": "Create an urgent support ticket for flight cancellation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3bb366892196487eaec0214728091a60", "memory_type": "procedural", "when_to_use": "When retrieving invoices or processing travel-related transactions", "content": "Always verify the correct parameters (e.g., booking_id vs insurance_id) for invoice retrieval and cross-check returned data against the user's original request to detect discrepancies", "score": 0, "time_created": "2025-09-19 10:21:42", "time_modified": "2025-09-19 10:21:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retrieve an invoice for this insurance to ensure my financial records are precise?", "when_to_use": "When retrieving invoices or processing travel-related transactions", "category": "failure", "created_time": "2025-09-19 10:21:42", "modified_time": "2025-09-19 10:21:42", "generalized_query": "Retrieve transaction documentation for a travel insurance purchase", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e9147771f72d4ea18190c41c49c44132", "memory_type": "procedural", "when_to_use": "When handling user authentication and message delivery in trading systems", "content": "Ensure proper authentication state verification before initiating message delivery, as failed login checks can disrupt critical communication workflows.", "score": 0, "time_created": "2025-09-19 10:21:51", "time_modified": "2025-09-19 10:21:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I require some confidence about my current financial positioning. Share a detailed overview of my account, including balances and any associated card numbers. Furthermore, logging in as USR001 to notify my financial advisor (user id 'USR003') promptly about this potential shift in my investment strategy with our latest account details.", "when_to_use": "When handling user authentication and message delivery in trading systems", "category": "failure", "created_time": "2025-09-19 10:21:51", "modified_time": "2025-09-19 10:21:51", "generalized_query": "Request account information and send a notification to a financial advisor with updated account details", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "d5e2b14819d0414a8983cc8b166077a8", "memory_type": "procedural", "when_to_use": "When requiring sensitive credentials or initiating secure actions", "content": "Prompt users for required credentials (e.g., passwords) explicitly, but avoid storing or requesting sensitive information beyond what is strictly necessary for the task.", "score": 0, "time_created": "2025-09-19 10:21:48", "time_modified": "2025-09-19 10:21:48", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Logging in as USR001 to notify my financial advisor (user id 'USR003')", "when_to_use": "When requiring sensitive credentials or initiating secure actions", "category": "failure", "created_time": "2025-09-19 10:21:48", "modified_time": "2025-09-19 10:21:48", "generalized_query": "Initiating secure messaging with user authentication", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "c3ef2374552b4cbdb0a5091ad81e1c26", "memory_type": "procedural", "when_to_use": "When booking flights for users with specific travel details and reimbursement requirements", "content": "The successful sequence involved: 1) Using get_nearest_airport_by_city to resolve location-to-airport code mapping, 2) Correcting API parameter errors by removing invalid fields (travel_cost), 3) Leveraging the booking_id from the travel system to retrieve invoices and escalate queries to customer support. The key was maintaining precise parameter alignment with API requirements while preserving necessary context across tool calls.", "score": 0, "time_created": "2025-09-19 10:22:00", "time_modified": "2025-09-19 10:22:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need to book a flight to Los Angeles for a crucial business meeting... and ensure you acquire the invoice for this transaction", "when_to_use": "When booking flights for users with specific travel details and reimbursement requirements", "category": "success", "created_time": "2025-09-19 10:22:00", "modified_time": "2025-09-19 10:22:00", "generalized_query": "Book a flight with specific travel details and obtain a transaction invoice", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "fc5988c9416a4e2b9b9ec98d9efb0f4e", "memory_type": "procedural", "when_to_use": "When booking flights or making transactions requiring specific parameter names", "content": "Always verify parameter names against function definitions to avoid unexpected keyword arguments. Use exact parameter names as defined in the tool's required fields.", "score": 0, "time_created": "2025-09-19 10:22:16", "time_modified": "2025-09-19 10:22:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need a first-class seat from New York to Los Angeles for this upcoming Sunday October 15th 2024. Let's use my credit card with id 'primary' and access token 'abc123xyz' stored on record for this transaction.", "when_to_use": "When booking flights or making transactions requiring specific parameter names", "category": "failure", "created_time": "2025-09-19 10:22:16", "modified_time": "2025-09-19 10:22:16", "generalized_query": "Book a flight with specified class, dates, locations, and payment details", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a5c74f92feb64740a67c73701bf12242", "memory_type": "procedural", "when_to_use": "When a user needs to assess the current market state before making trading decisions", "content": "Use get_current_time to obtain the current time, then update_market_status with the time string to determine if the market is open or closed. This provides critical context for trading decisions by aligning actions with market hours.", "score": 0, "time_created": "2025-09-19 10:22:22", "time_modified": "2025-09-19 10:22:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Check on the market conditions for me by updating the status to understand its current state.", "when_to_use": "When a user needs to assess the current market state before making trading decisions", "category": "success", "created_time": "2025-09-19 10:22:22", "modified_time": "2025-09-19 10:22:22", "generalized_query": "Determine the current market status to inform trading activities", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "f2a96d153205470e801f9fbe0a876048", "memory_type": "procedural", "when_to_use": "When providing stock performance information", "content": "The higher-scoring approach delivered structured performance metrics (price, volume, moving averages) alongside immediate watchlist updates, while the lower-scoring version provided fragmented information. The effective approach combined data presentation with seamless workflow completion (adding to watchlist) to enhance user experience.", "score": 0, "time_created": "2025-09-19 10:22:23", "time_modified": "2025-09-19 10:22:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need details on the performance of a particular stock, 'SYNX', can you provide me with the critical information? It should be added to my watchlist.", "when_to_use": "When providing stock performance information", "category": "comparative", "created_time": "2025-09-19 10:22:23", "modified_time": "2025-09-19 10:22:23", "generalized_query": "Retrieve stock metrics and manage watchlist updates", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "88251723336e4d529844e38709cc58aa", "memory_type": "procedural", "when_to_use": "When handling order reviews or cancellations", "content": "Always prompt users to specify which order ID they want to review when multiple orders exist in the history", "score": 0, "time_created": "2025-09-19 10:22:25", "time_modified": "2025-09-19 10:22:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Review the order that I had placed, looking at its details, and let me know if it should be cancelled.", "when_to_use": "When handling order reviews or cancellations", "category": "failure", "created_time": "2025-09-19 10:22:25", "modified_time": "2025-09-19 10:22:25", "generalized_query": "Reviewing an order to assess cancellation necessity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7ec92afb1f1642bfb382070cd0253227", "memory_type": "procedural", "when_to_use": "When converting units and preparing a vehicle for a long journey", "content": "The higher-scoring approach demonstrated systematic execution by first converting liters to gallons using the liter_to_gallon tool, then sequentially addressing safety prerequisites (locking doors, engaging parking brake) before fueling. It handled dependency errors (e.g., door lock requirement for engine start) through iterative tool calls, whereas the lower-scoring approach failed to follow correct operational order, leading to premature fueling without critical safety checks.", "score": 0, "time_created": "2025-09-19 10:22:37", "time_modified": "2025-09-19 10:22:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I require assistance in determining the quantity of gasoline necessary for an extensive journey across California. I currently anticipate needing around 166 liters. How much is that in gallon?", "when_to_use": "When converting units and preparing a vehicle for a long journey", "category": "comparative", "created_time": "2025-09-19 10:22:37", "modified_time": "2025-09-19 10:22:37", "generalized_query": "Convert fuel volume units and prepare vehicle for long-distance travel", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "6d57f4c4dbc74e5d97314f8519ea623a", "memory_type": "procedural", "when_to_use": "When searching for files with ambiguous or potentially misspelled names", "content": "Use 'ls' to list directory contents when 'find' returns no matches, as it helps identify potential name variations or typos", "score": 0, "time_created": "2025-09-19 10:22:49", "time_modified": "2025-09-19 10:22:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I have a list of student record in this directory, could you find me where is it by telling me its name and using 'find'?", "when_to_use": "When searching for files with ambiguous or potentially misspelled names", "category": "failure", "created_time": "2025-09-19 10:22:49", "modified_time": "2025-09-19 10:22:49", "generalized_query": "Locate a file with a specific name in a directory using search commands", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "adfedaea4b77434bb7c51e2652d8a4e7", "memory_type": "procedural", "when_to_use": "When dealing with files containing numeric or special character extensions", "content": "Verify file content structure before processing; ensure the file format is compatible with the analysis tools (e.g., space-separated values)", "score": 0, "time_created": "2025-09-19 10:22:49", "time_modified": "2025-09-19 10:22:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Look at the student_record.txt and tell me the average score.", "when_to_use": "When dealing with files containing numeric or special character extensions", "category": "failure", "created_time": "2025-09-19 10:22:49", "modified_time": "2025-09-19 10:22:49", "generalized_query": "Calculate statistical metrics from data in a text file", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "27bdda1c43344c8fbdf7acff2917b8f0", "memory_type": "procedural", "when_to_use": "When requiring precision in mathematical outputs", "content": "Always apply rounding consistently after calculating statistical values to maintain output uniformity", "score": 0, "time_created": "2025-09-19 10:22:49", "time_modified": "2025-09-19 10:22:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What about the standard deviation?", "when_to_use": "When requiring precision in mathematical outputs", "category": "failure", "created_time": "2025-09-19 10:22:49", "modified_time": "2025-09-19 10:22:49", "generalized_query": "Compute statistical measures with specified decimal precision", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "699e19bdb4024b049be6d0f13a75fb0a", "memory_type": "procedural", "when_to_use": "When performing Twitter-related actions such as posting, retweeting, or commenting", "content": "Always verify Twitter authentication status before executing any social media actions to prevent access errors", "score": 0, "time_created": "2025-09-19 10:22:45", "time_modified": "2025-09-19 10:22:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate it if you could share a quick update about the tire pressures on Twitter, using the format 'Front Left Tire: XXX PSI, Front Right Tire: XXX PSI, Rear Left Tire: XXX PSI, Rear Right Tire: XXX PSI'", "when_to_use": "When performing Twitter-related actions such as posting, retweeting, or commenting", "category": "failure", "created_time": "2025-09-19 10:22:45", "modified_time": "2025-09-19 10:22:45", "generalized_query": "Share vehicle status updates on social media with specific formatting", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "c89679e9904345d29b09870a509547fc", "memory_type": "procedural", "when_to_use": "When handling vehicle ignition sequences", "content": "Implement sequential validation checks for ignition prerequisites (locked doors, brake pedal position) to prevent system errors", "score": 0, "time_created": "2025-09-19 10:22:45", "time_modified": "2025-09-19 10:22:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm planning ahead for our big trip and realized our car's fuel tank is running low. It would be great if you could top it up with an additional 30 gallons before I turn on the ignition using the 'START' mode.", "when_to_use": "When handling vehicle ignition sequences", "category": "failure", "created_time": "2025-09-19 10:22:45", "modified_time": "2025-09-19 10:22:45", "generalized_query": "Prepare vehicle for ignition with fuel addition", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "305a08887ed341dd99bb400dc91ebf38", "memory_type": "procedural", "when_to_use": "When handling account information updates or sync issues", "content": "After modifying account information (e.g., email/phone number), users should verify updates via `get_account_info` immediately. If discrepancies persist, escalate via a support ticket with detailed logs of attempted resolutions.", "score": 0, "time_created": "2025-09-19 10:23:00", "time_modified": "2025-09-19 10:23:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "With the order situation now stable, I require a concise overview of my account details to ensure there are no discrepancies.", "when_to_use": "When handling account information updates or sync issues", "category": "failure", "created_time": "2025-09-19 10:23:00", "modified_time": "2025-09-19 10:23:00", "generalized_query": "Requesting account information verification after system updates or discrepancies", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b86b2f75aeb04c6d865bdd5189121875", "memory_type": "procedural", "when_to_use": "When assessing market conditions before executing trades", "content": "The successful sequence began by verifying the market status using `get_current_time` and `update_market_status` to confirm trading hours. This ensures actions align with market availability, reducing risks of executing orders during non-trading periods. Combining time data with market status provides a complete context for decision-making.", "score": 0, "time_created": "2025-09-19 10:23:03", "time_modified": "2025-09-19 10:23:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate a breakdown on the current stock market trends so I can determine the suitability of executing a trade right now.", "when_to_use": "When assessing market conditions before executing trades", "category": "success", "created_time": "2025-09-19 10:23:03", "modified_time": "2025-09-19 10:23:03", "generalized_query": "Check market status and conditions for trade suitability", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b4420afba2454eb4957a59bf52ab5679", "memory_type": "procedural", "when_to_use": "When users need to determine travel distance between two locations for trip planning", "content": "Sequentially use location-based tools (get_zipcode_based_on_city) to obtain coordinates, then apply distance estimation tools (estimate_distance) for accurate travel planning. This ensures precise data before making travel decisions.", "score": 0, "time_created": "2025-09-19 10:23:15", "time_modified": "2025-09-19 10:23:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Determine the road distance between San Francisco and Stonebrook for my genealogy exploration", "when_to_use": "When users need to determine travel distance between two locations for trip planning", "category": "success", "created_time": "2025-09-19 10:23:15", "modified_time": "2025-09-19 10:23:15", "generalized_query": "Calculate travel distance between two cities for trip planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "362c848d246342a689806bb370c50cfc", "memory_type": "procedural", "when_to_use": "When users want to share travel updates with broader audiences", "content": "Use post_tweet with specific content and hashtags to create engaging posts, followed by retweet to amplify reach. This leverages social media's network effect for community engagement.", "score": 0, "time_created": "2025-09-19 10:23:15", "time_modified": "2025-09-19 10:23:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Tweet: 'Setting forth on an exciting quest from San Francisco to Stonebrook to uncover ancestral stories!' #GenealogyAdventure #FamilyHistory", "when_to_use": "When users want to share travel updates with broader audiences", "category": "success", "created_time": "2025-09-19 10:23:15", "modified_time": "2025-09-19 10:23:15", "generalized_query": "Create and share social media content for travel-related announcements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7b17abcae2784ec8b2f4962bd7ad755d", "memory_type": "procedural", "when_to_use": "When handling Twitter interactions requiring specific tweet IDs or user authentication", "content": "Always verify tweet IDs and authentication status before executing retweet/comment actions. Prompt users to locate tweet IDs if unavailable.", "score": 0, "time_created": "2025-09-19 10:23:28", "time_modified": "2025-09-19 10:23:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retweet the maintenance update and add a comment 'Ready for the next adventure!'", "when_to_use": "When handling Twitter interactions requiring specific tweet IDs or user authentication", "category": "failure", "created_time": "2025-09-19 10:23:28", "modified_time": "2025-09-19 10:23:28", "generalized_query": "Amplify a tweet's reach through retweeting and adding comments", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "41c15b8c8de3448782e7f9b464fb1c89", "memory_type": "procedural", "when_to_use": "When converting between metric and imperial units for fuel or vehicle measurements", "content": "Use liter_to_gallon tool for accurate conversion, then apply rounded value to fillFuelTank. This ensures compatibility with vehicle systems that use imperial units.", "score": 0, "time_created": "2025-09-19 10:23:29", "time_modified": "2025-09-19 10:23:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Fill with the second decimal digit precision in gallon", "when_to_use": "When converting between metric and imperial units for fuel or vehicle measurements", "category": "success", "created_time": "2025-09-19 10:23:29", "modified_time": "2025-09-19 10:23:29", "generalized_query": "Convert liquid volume between liters and gallons with precision", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "c24a177a6674420d89242f4ac8a4c1d3", "memory_type": "procedural", "when_to_use": "When initiating vehicle systems requiring safety checks", "content": "Implement sequential safety checks: lock all doors, press brake pedal before starting engine. This prevents system errors and ensures safe operation.", "score": 0, "time_created": "2025-09-19 10:23:29", "time_modified": "2025-09-19 10:23:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start up the engine and let me know the battery voltage and fuel level", "when_to_use": "When initiating vehicle systems requiring safety checks", "category": "success", "created_time": "2025-09-19 10:23:29", "modified_time": "2025-09-19 10:23:29", "generalized_query": "Initialize vehicle engine with safety protocol", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "49b33d12e6c041e1b4b6e065f79790e9", "memory_type": "procedural", "when_to_use": "When requiring guaranteed completion of dependent tasks in a workflow", "content": "The higher-scoring approach demonstrated superior efficiency by methodically resolving engine-starting errors (unlocking doors, pressing brake) rather than failing outright. The lower-scoring approach lacked this iterative problem-solving, resulting in task abandonment.", "score": 0, "time_created": "2025-09-19 10:23:32", "time_modified": "2025-09-19 10:23:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start the engine after ensuring all safety protocols (locked doors, pressed brake) are met", "when_to_use": "When requiring guaranteed completion of dependent tasks in a workflow", "category": "comparative", "created_time": "2025-09-19 10:23:32", "modified_time": "2025-09-19 10:23:32", "generalized_query": "Perform critical system operations with prerequisite condition validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9b14e2b0ae4f4e439847577c1075f366", "memory_type": "procedural", "when_to_use": "When a user needs to check market status before initiating trading activities", "content": "The successful sequence involved first retrieving the current time using get_current_time, then updating the market status with that time via update_market_status. This provided critical timing context for trading decisions. The combination of time-aware market status checks and immediate actionable insights enabled informed strategy adjustments.", "score": 0, "time_created": "2025-09-19 10:23:38", "time_modified": "2025-09-19 10:23:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I just arrived at the office and want to know the current market status to plan my trading activities for the day. Update the market status with the current time so I can adjust my strategy accordingly.", "when_to_use": "When a user needs to check market status before initiating trading activities", "category": "success", "created_time": "2025-09-19 10:23:38", "modified_time": "2025-09-19 10:23:38", "generalized_query": "Check market status and current time to inform trading decisions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "48477f1fa2ce4f3bb6a7d0ffe95dac21", "memory_type": "procedural", "when_to_use": "When a user intends to purchase stocks and requires verification of stock details before execution", "content": "Use get_symbol_by_name to obtain the stock symbol, followed by get_stock_info to analyze market activity. This ensures accurate data-driven decisions before proceeding with trades.", "score": 0, "time_created": "2025-09-19 10:23:36", "time_modified": "2025-09-19 10:23:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you provide their stock symbol and detail their market activity?", "when_to_use": "When a user intends to purchase stocks and requires verification of stock details before execution", "category": "success", "created_time": "2025-09-19 10:23:36", "modified_time": "2025-09-19 10:23:36", "generalized_query": "Retrieve stock information and market data for a company before making a transaction", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "bede84c072f645f68b9a76095331a59e", "memory_type": "procedural", "when_to_use": "When confirming transaction details and ensuring account readiness for a trade", "content": "Call get_order_details to confirm order specifics and cross-check against account balances via get_account_info. This ensures alignment between order parameters and available funds.", "score": 0, "time_created": "2025-09-19 10:23:36", "time_modified": "2025-09-19 10:23:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm eager to confirm the particulars of my Zeta Corp order. Would you be able to supply the full details, including the order ID?", "when_to_use": "When confirming transaction details and ensuring account readiness for a trade", "category": "success", "created_time": "2025-09-19 10:23:36", "modified_time": "2025-09-19 10:23:36", "generalized_query": "Verify transaction details and account status before finalizing a trade", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4347dda734f348798bb39484f481fa75", "memory_type": "procedural", "when_to_use": "When performing file operations that require precise path handling and error prevention", "content": "The higher-scoring approach ensured correct directory navigation (using 'cd Documents') before executing the copy operation, avoiding path errors. It also used relative paths based on the current working directory, reducing ambiguity. The lower-scoring approach failed due to incorrect absolute paths and lack of directory verification, leading to errors.", "score": 0, "time_created": "2025-09-19 10:24:09", "time_modified": "2025-09-19 10:24:09", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Transfer the 'annual_report.txt' in Documents directory to the 'Reports' directory that's in Documents directory, but also make sure it remains available in its current spot.", "when_to_use": "When performing file operations that require precise path handling and error prevention", "category": "comparative", "created_time": "2025-09-19 10:24:09", "modified_time": "2025-09-19 10:24:09", "generalized_query": "Copy a file between directories while preserving the original file", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9c43f5d573fb4886a3ceae3c18e8f578", "memory_type": "procedural", "when_to_use": "When the task requires listing all files and directories, including hidden ones", "content": "Use the `ls -a` command to ensure hidden files and directories are included in the listing. This approach guarantees comprehensive visibility of the current directory's contents without missing any elements.", "score": 0, "time_created": "2025-09-19 10:24:15", "time_modified": "2025-09-19 10:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange a complete listing of all files and directories presently located here, making sure you don't overlook the hidden ones too.", "when_to_use": "When the task requires listing all files and directories, including hidden ones", "category": "success", "created_time": "2025-09-19 10:24:15", "modified_time": "2025-09-19 10:24:15", "generalized_query": "List all files and directories, including hidden ones", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a919c0e065d94c8c8161df5f327ec564", "memory_type": "procedural", "when_to_use": "When sending a message after authenticating as a specific user", "content": "Log in as the sender's user ID using `message_login` before invoking `send_message`. This ensures proper authentication and avoids permission errors, guaranteeing the message is delivered from the correct account.", "score": 0, "time_created": "2025-09-19 10:24:15", "time_modified": "2025-09-19 10:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Attempt to relay a message to the individual with ID 'USR002' by logging in as USR001, updating them on the finalization of the report saying 'The report has been finalized.'", "when_to_use": "When sending a message after authenticating as a specific user", "category": "success", "created_time": "2025-09-19 10:24:15", "modified_time": "2025-09-19 10:24:15", "generalized_query": "Send a message to a user after authenticating as another user", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "85be38c097234fdd810464ec2ba63665", "memory_type": "procedural", "when_to_use": "When accessing files that may not exist", "content": "Check for the existence of the file before attempting to read it to prevent 'No such file or directory' errors", "score": 0, "time_created": "2025-09-19 10:24:22", "time_modified": "2025-09-19 10:24:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reveal the last lines of 'Q4_summary.doc' so we can ascertain how the report wraps up.", "when_to_use": "When accessing files that may not exist", "category": "failure", "created_time": "2025-09-19 10:24:22", "modified_time": "2025-09-19 10:24:22", "generalized_query": "View the end of a document file", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "cf00fd42027c4da19d0bef8976e6d917", "memory_type": "procedural", "when_to_use": "When verifying vehicle security or initiating critical operations like engine start", "content": "The higher-scoring approach systematically verified the door status using 'displayCarStatus' before locking, ensuring completeness. The lower-scoring approach locked doors directly without verification, risking incomplete security. Proactive state-checking prevents errors and ensures all safety protocols are met.", "score": 0, "time_created": "2025-09-19 10:24:15", "time_modified": "2025-09-19 10:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I've noticed that some of my car doors are slightly ajar while others seem to be securely locked. Would you be able to verify and make sure all doors are properly locked for safety?", "when_to_use": "When verifying vehicle security or initiating critical operations like engine start", "category": "comparative", "created_time": "2025-09-19 10:24:15", "modified_time": "2025-09-19 10:24:15", "generalized_query": "Verify and secure vehicle doors before initiating a drive", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "008b6b05a8b94593b19181a6f58a7775", "memory_type": "procedural", "when_to_use": "When sending messages or performing user-specific actions", "content": "Verify user login status before sending messages and handle authentication automatically to avoid interruptions", "score": 0, "time_created": "2025-09-19 10:24:16", "time_modified": "2025-09-19 10:24:16", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "send a quick message 'I am on my way to your place.' to my cousin (user id USR002)", "when_to_use": "When sending messages or performing user-specific actions", "category": "failure", "created_time": "2025-09-19 10:24:16", "modified_time": "2025-09-19 10:24:16", "generalized_query": "Send messages to specific users in a workspace", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a04adc58ae0e448fba592f2ef7312b6c", "memory_type": "procedural", "when_to_use": "When needing to relocate a file to an archive directory within the same directory structure", "content": "Use 'find' to locate the file, navigate to its directory with 'cd', create an 'archive' folder (if not exists), and move the file using 'mv'. Verify directory existence before creating to avoid errors.", "score": 0, "time_created": "2025-09-19 10:24:07", "time_modified": "2025-09-19 10:24:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Find analysis_report.csv and upon locating it, ensure you move it to the 'archive' directory in the same directory of analysis report for safekeeping", "when_to_use": "When needing to relocate a file to an archive directory within the same directory structure", "category": "success", "created_time": "2025-09-19 10:24:07", "modified_time": "2025-09-19 10:24:07", "generalized_query": "Locate and relocate a file to an archive subdirectory within its original directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4e4c9c0d4dfa4d07b641cdad5a5164ab", "memory_type": "procedural", "when_to_use": "When promoting data management achievements on social media with specific hashtags", "content": "Authenticate via TwitterAPI, use 'post_tweet' with content and hashtags, then add a comment using 'comment' to reinforce achievements. Prioritize clear messaging and strategic hashtag usage for visibility.", "score": 0, "time_created": "2025-09-19 10:24:07", "time_modified": "2025-09-19 10:24:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Craft a tweet stating 'Managed to archive important data files!' using the hashtags #DataManagement and #Efficiency", "when_to_use": "When promoting data management achievements on social media with specific hashtags", "category": "success", "created_time": "2025-09-19 10:24:07", "modified_time": "2025-09-19 10:24:07", "generalized_query": "Post a status update about data management accomplishments with relevant hashtags", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "960505ef2fc748e580d5f75e2af8a89f", "memory_type": "procedural", "when_to_use": "When requiring alphabetical sorting and display of text files", "content": "Use 'sort' to alphabetically arrange file contents, then 'cat' to display the sorted output. This ensures organized review of textual data while maintaining readability.", "score": 0, "time_created": "2025-09-19 10:24:07", "time_modified": "2025-09-19 10:24:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "After the file transfer, display the contents of 'archive_summary.txt' in the current working directory. Sort the contents alphabetically for easy review and analysis", "when_to_use": "When requiring alphabetical sorting and display of text files", "category": "success", "created_time": "2025-09-19 10:24:07", "modified_time": "2025-09-19 10:24:07", "generalized_query": "Sort and display contents of a text file alphabetically", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "47625133b257417aa186fe3b19ff654c", "memory_type": "procedural", "when_to_use": "When executing social media tasks requiring authentication and content posting", "content": "Ensure authentication credentials are securely handled and validated before executing any Twitter API actions to prevent unauthorized operations.", "score": 0, "time_created": "2025-09-19 10:24:22", "time_modified": "2025-09-19 10:24:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Help me maintain a social media presence by crafting a tweet that states, 'Managed to archive important data files!' using the hashtags #DataManagement and #Efficiency.", "when_to_use": "When executing social media tasks requiring authentication and content posting", "category": "failure", "created_time": "2025-09-19 10:24:22", "modified_time": "2025-09-19 10:24:22", "generalized_query": "Post a tweet with specific content and hashtags using Twitter API", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a0dbe61f52684a708b73ce703586876e", "memory_type": "procedural", "when_to_use": "Before initiating engine startup or critical vehicle operations", "content": "Critical pre-start checks (door locks, brake pedal position) must be verified before attempting to start the engine, even if fuel level is confirmed.", "score": 0, "time_created": "2025-09-19 10:24:44", "time_modified": "2025-09-19 10:24:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I would like to increase the amount of fuel in my car to completely full, but first I need to ascertain the present level to determine the appropriate amount to add.", "when_to_use": "Before initiating engine startup or critical vehicle operations", "category": "failure", "created_time": "2025-09-19 10:24:44", "modified_time": "2025-09-19 10:24:44", "generalized_query": "Refueling and pre-start vehicle checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9c2df7675ac7487492bc1e73dce3a917", "memory_type": "procedural", "when_to_use": "When handling vehicle maintenance alerts", "content": "Integrate real-time monitoring with immediate actionable solutions (e.g., locating service centers) for critical vehicle parameters like tire pressure.", "score": 0, "time_created": "2025-09-19 10:24:44", "time_modified": "2025-09-19 10:24:44", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Should I notice that my tire pressure falls below 40 psi, kindly provide me with directions to the nearest tire service center for prompt resolution.", "when_to_use": "When handling vehicle maintenance alerts", "category": "failure", "created_time": "2025-09-19 10:24:44", "modified_time": "2025-09-19 10:24:44", "generalized_query": "Tire pressure monitoring and emergency response", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "dc1fc026b48b41838a56e0436b1141cf", "memory_type": "procedural", "when_to_use": "Before sending messages to new contacts, especially when the contact's existence is critical to the task.", "content": "Verify contact existence via 'get_user_id' before sending messages to avoid redundant operations and ensure target accuracy.", "score": 0, "time_created": "2025-09-19 10:24:55", "time_modified": "2025-09-19 10:24:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need to add her contact (Kelly), in the format of 'Kelly Total Score: total_score', I'd appreciate a list of all the communications I've sent until now.", "when_to_use": "Before sending messages to new contacts, especially when the contact's existence is critical to the task.", "category": "failure", "created_time": "2025-09-19 10:24:55", "modified_time": "2025-09-19 10:24:55", "generalized_query": "Send a formatted message to a contact and retrieve communication history", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4fdccecc80c943dca4dcf1813e7c8239", "memory_type": "procedural", "when_to_use": "When dealing with file-based tasks that require precise file identification.", "content": "Use 'ls' with the 'a' flag to ensure hidden files are included in directory listings and searches.", "score": 0, "time_created": "2025-09-19 10:24:55", "time_modified": "2025-09-19 10:24:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you provide me with an inventory of files that are currently visible and hidden in the directory I'm working in at the moment?", "when_to_use": "When dealing with file-based tasks that require precise file identification.", "category": "failure", "created_time": "2025-09-19 10:24:55", "modified_time": "2025-09-19 10:24:55", "generalized_query": "List all files (visible and hidden) in the current directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "109f1050cc244d6f9ece73b661ac7a5c", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations requiring multiple safety checks (e.g., starting the engine, activating cruise control)", "content": "The higher-scoring approach systematically addressed prerequisites (locking doors, pressing brake pedal) before critical actions, while the lower-scoring approach failed to complete required steps before attempting cruise control. The effective approach demonstrated error resilience by sequentially resolving obstacles (unlocking → locking → brake press) to enable successful engine start and cruise control activation.", "score": 0, "time_created": "2025-09-19 10:24:56", "time_modified": "2025-09-19 10:24:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "With every door now open, please proceed to fire up the engine; I need to ensure everything's in working order before hitting the road.", "when_to_use": "When initiating vehicle operations requiring multiple safety checks (e.g., starting the engine, activating cruise control)", "category": "comparative", "created_time": "2025-09-19 10:24:56", "modified_time": "2025-09-19 10:24:56", "generalized_query": "Initiate vehicle engine start and prepare for cruise control activation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "2eea1d197942463e925ad6c95241d9df", "memory_type": "procedural", "when_to_use": "When estimating distances between cities using zipcodes", "content": "Validate zipcodes with a secondary source before using them for distance calculations to avoid database lookup errors", "score": 0, "time_created": "2025-09-19 10:24:56", "time_modified": "2025-09-19 10:24:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Will you estimate the distance between San Francisco and Silverpine for me?", "when_to_use": "When estimating distances between cities using zipcodes", "category": "failure", "created_time": "2025-09-19 10:24:56", "modified_time": "2025-09-19 10:24:56", "generalized_query": "Estimate distance between two cities using geographic identifiers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "abb257b251cd47d69e8e487ed09124c1", "memory_type": "procedural", "when_to_use": "When managing vehicle fuel operations", "content": "Check current fuel level before refueling to avoid exceeding tank capacity and ensure accurate fuel requirements calculation", "score": 0, "time_created": "2025-09-19 10:24:56", "time_modified": "2025-09-19 10:24:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "In case it can't [cover distance], just fill out the fuel tank completely", "when_to_use": "When managing vehicle fuel operations", "category": "failure", "created_time": "2025-09-19 10:24:56", "modified_time": "2025-09-19 10:24:56", "generalized_query": "Refuel vehicle to full capacity when range is insufficient", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "8cdab8cccf3c44cb9a05b04445353d90", "memory_type": "procedural", "when_to_use": "When a user requests an estimated travel cost and subsequent budget management", "content": "The successful sequence involved first retrieving the flight cost using get_flight_cost with precise parameters (departure/arrival codes, date, class), then setting a budget limit via set_budget_limit using the provided access token. This ensures cost awareness before budget allocation, enabling informed financial planning.", "score": 0, "time_created": "2025-09-19 10:25:34", "time_modified": "2025-09-19 10:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you assist in estimating the airfare between ORD and SVP from the comprehensive list available through the system?", "when_to_use": "When a user requests an estimated travel cost and subsequent budget management", "category": "success", "created_time": "2025-09-19 10:25:34", "modified_time": "2025-09-19 10:25:34", "generalized_query": "Requesting an estimated travel cost between two locations with specific class preferences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b1f9341b90c34cea9018555a3fdbbd50", "memory_type": "procedural", "when_to_use": "When analyzing file systems and needing to update ticket priorities based on file metadata", "content": "Used a combination of file system tools (wc) to quantify file data, then applied conditional logic to modify ticket properties (edit_ticket). Success came from precise data collection and direct integration with ticketing system functions.", "score": 0, "time_created": "2025-09-19 10:25:27", "time_modified": "2025-09-19 10:25:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Open up ticket 654321. If the character count of any file is greater than 20, Set the priority to 3. Else, set to 2.", "when_to_use": "When analyzing file systems and needing to update ticket priorities based on file metadata", "category": "success", "created_time": "2025-09-19 10:25:27", "modified_time": "2025-09-19 10:25:27", "generalized_query": "Update ticket priority based on file content metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b8eb2a3d09a141a69953bb66d949df12", "memory_type": "procedural", "when_to_use": "When searching for files with specific naming patterns in directories", "content": "Used recursive search (find) with name filtering, combined with directory navigation (cd) to locate target files. This pattern ensures comprehensive file discovery even in complex directory structures.", "score": 0, "time_created": "2025-09-19 10:25:27", "time_modified": "2025-09-19 10:25:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Should you stumble upon a directory named 'test', go into there, dive deep and identify any files with 'test' in their names using 'ls'.", "when_to_use": "When searching for files with specific naming patterns in directories", "category": "success", "created_time": "2025-09-19 10:25:27", "modified_time": "2025-09-19 10:25:27", "generalized_query": "Search nested directories for files matching name patterns", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "128c54dbbeda4057ab210bb6940f7cb2", "memory_type": "procedural", "when_to_use": "When calculating distances between cities for travel planning", "content": "Use zipcode-based distance estimation tools to quantify travel distance. This provides a concrete metric for trip planning and fuel/ time calculations.", "score": 0, "time_created": "2025-09-19 10:25:29", "time_modified": "2025-09-19 10:25:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How far apart are these places?", "when_to_use": "When calculating distances between cities for travel planning", "category": "success", "created_time": "2025-09-19 10:25:29", "modified_time": "2025-09-19 10:25:29", "generalized_query": "Determine the distance between two locations for travel planning", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7de141acede64e4d8ccd627fddf1c32d", "memory_type": "procedural", "when_to_use": "When performing pre-trip vehicle safety checks", "content": "Implement sequential safety checks (locked doors, pressed brake) before engine start. This prevents operational errors and ensures vehicle readiness.", "score": 0, "time_created": "2025-09-19 10:25:29", "time_modified": "2025-09-19 10:25:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Engage the 'START' ignition mode to ready the vehicle", "when_to_use": "When performing pre-trip vehicle safety checks", "category": "success", "created_time": "2025-09-19 10:25:29", "modified_time": "2025-09-19 10:25:29", "generalized_query": "Execute vehicle ignition sequence with safety protocol verification", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a593e61d930b4b0caa55254db204ed76", "memory_type": "procedural", "when_to_use": "When performing advanced fuel efficiency analysis", "content": "Use logarithmic calculations with precise parameters for quantitative fuel efficiency analysis. This reveals exponential relationships in fuel consumption patterns.", "score": 0, "time_created": "2025-09-19 10:25:29", "time_modified": "2025-09-19 10:25:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Logarithm of the distance to the base the previous fuel value", "when_to_use": "When performing advanced fuel efficiency analysis", "category": "success", "created_time": "2025-09-19 10:25:29", "modified_time": "2025-09-19 10:25:29", "generalized_query": "Apply mathematical operations to analyze fuel efficiency metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "11b76417555f40ff911bcfe20e2c6ba9", "memory_type": "procedural", "when_to_use": "When handling mathematical operations with specific precision requirements", "content": "Ensure parameter validation for mathematical functions, including checking for valid base values (e.g., base > 0 and ≠ 1) to avoid computational errors", "score": 0, "time_created": "2025-09-19 10:25:34", "time_modified": "2025-09-19 10:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Calculate the logarithm of the distance to the base the previous fuel value, computed to a precision of 10", "when_to_use": "When handling mathematical operations with specific precision requirements", "category": "failure", "created_time": "2025-09-19 10:25:34", "modified_time": "2025-09-19 10:25:34", "generalized_query": "Perform logarithmic calculations with defined base and precision", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4df7eb7efc334d0fb034317bb54cd7cc", "memory_type": "procedural", "when_to_use": "When booking flights with pre-defined cost parameters", "content": "The higher-scoring approach successfully resolved the 'travel_cost' parameter error by removing invalid arguments and retrying the booking. This demonstrated better error handling and understanding of API requirements compared to the lower-scoring approach, which repeatedly used incorrect parameters.", "score": 0, "time_created": "2025-09-19 10:25:37", "time_modified": "2025-09-19 10:25:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "book me a business class ticket from SFO to LAX for December 15, 2024", "when_to_use": "When booking flights with pre-defined cost parameters", "category": "comparative", "created_time": "2025-09-19 10:25:37", "modified_time": "2025-09-19 10:25:37", "generalized_query": "Book a flight with specific origin, destination, date, and class", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "24261338f6cd45eea910de0679fe528c", "memory_type": "procedural", "when_to_use": "When sending messages to notify stakeholders about travel plans", "content": "Use the send_message function with the recipient's user ID and a clear message. Pair it with view_messages_sent to track communication history, ensuring transparency and accountability in message delivery.", "score": 0, "time_created": "2025-09-19 10:25:37", "time_modified": "2025-09-19 10:25:37", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Send itinerary confirmation to a travel companion", "when_to_use": "When sending messages to notify stakeholders about travel plans", "category": "success", "created_time": "2025-09-19 10:25:37", "modified_time": "2025-09-19 10:25:37", "generalized_query": "Message notification to a specified user", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7fc611fbaa944e45b27ad1be530208c7", "memory_type": "procedural", "when_to_use": "When handling authentication and token management", "content": "Ensure the grant_type parameter matches the required scope (e.g., 'read_write') and validate token expiration times to avoid authentication failures during critical operations.", "score": 0, "time_created": "2025-09-19 10:25:42", "time_modified": "2025-09-19 10:25:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Authenticate with the travel API using provided credentials", "when_to_use": "When handling authentication and token management", "category": "failure", "created_time": "2025-09-19 10:25:42", "modified_time": "2025-09-19 10:25:42", "generalized_query": "Authenticate to a system using client credentials and refresh tokens", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "bbb729891ecc41c983b81ee99301d077", "memory_type": "procedural", "when_to_use": "When creating support tickets involving sensitive account details", "content": "Never include sensitive credentials (e.g., passwords) in ticket descriptions. Always authenticate separately before submitting tickets requiring sensitive information", "score": 0, "time_created": "2025-09-19 10:26:12", "time_modified": "2025-09-19 10:26:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate your help in initiating a priority level 3 support ticket labeled 'Urgent: Transaction Issue' with the description 'There is an issue with a recent transaction involving a canceled buy order for 100 shares of AAPL and I am requesting confirmation of the cancellation along with an account summary. My username is user123 and password is 12345 for the ticket login.", "when_to_use": "When creating support tickets involving sensitive account details", "category": "failure", "created_time": "2025-09-19 10:26:12", "modified_time": "2025-09-19 10:26:12", "generalized_query": "Create a high-priority support ticket for transaction verification, including account credentials in the description", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a7985586cf384ee3a54e4bd3f6dbab90", "memory_type": "procedural", "when_to_use": "When a user needs to execute a trade based on their watchlist", "content": "Use the get_watchlist function directly to fetch the user's watchlist without additional parameters. This provides immediate visibility into monitored stocks, enabling quick decision-making for trades or adjustments.", "score": 0, "time_created": "2025-09-19 10:26:12", "time_modified": "2025-09-19 10:26:12", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "display the stocks I'm monitoring right now", "when_to_use": "When a user needs to execute a trade based on their watchlist", "category": "success", "created_time": "2025-09-19 10:26:12", "modified_time": "2025-09-19 10:26:12", "generalized_query": "Retrieve user's current stock watchlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3fbb3e368cec4dce95e4c1c66e0b6a54", "memory_type": "procedural", "when_to_use": "When executing order modifications and account verification in trading systems", "content": "The higher-scoring approach provided immediate confirmation of cancellation and linked it to account verification steps, ensuring transparency. It also maintained contextual awareness by referencing prior interactions (e.g., order ID 12446) to streamline the process, reducing user effort and minimizing errors.", "score": 0, "time_created": "2025-09-19 10:26:19", "time_modified": "2025-09-19 10:26:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reflecting my revised financial direction, I've decided to retract the recent order. I'd be thankful for your assistance in carrying out the cancellation and confirming it.", "when_to_use": "When executing order modifications and account verification in trading systems", "category": "comparative", "created_time": "2025-09-19 10:26:19", "modified_time": "2025-09-19 10:26:19", "generalized_query": "User requests order cancellation and confirmation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "232f957292e84e75bc99b02e4b9b16d0", "memory_type": "procedural", "when_to_use": "When comparing differences between two files in the same directory", "content": "Use 'diff' to line-by-line compare files directly. This provides clear, structured visibility into textual differences without manual inspection.", "score": 0, "time_created": "2025-09-19 10:26:03", "time_modified": "2025-09-19 10:26:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "articulate the distinctions", "when_to_use": "When comparing differences between two files in the same directory", "category": "success", "created_time": "2025-09-19 10:26:03", "modified_time": "2025-09-19 10:26:03", "generalized_query": "Compare two files for content differences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3e95481f992343cd885268cb129d8f38", "memory_type": "procedural", "when_to_use": "When calculating averages or statistical measures from dataset metadata (e.g., lines, words, characters)", "content": "Avoid conflating metadata metrics (lines/words/characters) with actual dataset values when computing averages. Always verify which numerical values the user intends to analyze.", "score": 0, "time_created": "2025-09-19 10:26:38", "time_modified": "2025-09-19 10:26:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you compute the average of the three numerical value obtained? Just for my personal use.", "when_to_use": "When calculating averages or statistical measures from dataset metadata (e.g., lines, words, characters)", "category": "failure", "created_time": "2025-09-19 10:26:38", "modified_time": "2025-09-19 10:26:38", "generalized_query": "Calculate an average from numerical metrics derived during data processing", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "c2223b440f5b4787801699fc22c4e388", "memory_type": "procedural", "when_to_use": "When handling pipe-separated CSV files with header rows", "content": "Verify data formatting consistency before writing to CSV. Ensure proper handling of special characters (like |) and maintain alignment between header fields and data rows.", "score": 0, "time_created": "2025-09-19 10:26:38", "time_modified": "2025-09-19 10:26:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Infuse 'DataSet1.csv' with some preliminary numbers... split by line each each row", "when_to_use": "When handling pipe-separated CSV files with header rows", "category": "failure", "created_time": "2025-09-19 10:26:38", "modified_time": "2025-09-19 10:26:38", "generalized_query": "Insert structured data into a CSV file with pipe delimiters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "ba89eb07701f4f3999ca51264b56b676", "memory_type": "procedural", "when_to_use": "When a user requests to add a stock to their watchlist and retrieve its detailed information", "content": "The successful sequence involved first using 'add_to_watchlist' to integrate the stock, followed by 'get_watchlist' to confirm the update. For detailed stock information, 'get_stock_info' was called with the specific symbol. This approach ensures immediate action on the user's request while providing structured, verifiable results through sequential function calls.", "score": 0, "time_created": "2025-09-19 10:26:49", "time_modified": "2025-09-19 10:26:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you kindly integrate Apple's stock into my current watchlist and subsequently provide me with a detailed breakdown of the watchlist's contents?", "when_to_use": "When a user requests to add a stock to their watchlist and retrieve its detailed information", "category": "success", "created_time": "2025-09-19 10:26:49", "modified_time": "2025-09-19 10:26:49", "generalized_query": "Add a stock to the watchlist and retrieve comprehensive stock details", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "f9385eb10bb14458ba8ae609fb5b5b63", "memory_type": "procedural", "when_to_use": "When resolving tickets, especially after user feedback, ensure resolution details are provided unless explicitly instructed to leave them blank.", "content": "Always verify if the ticket is already resolved before applying a resolution, and ensure that leaving resolution fields blank aligns with system requirements to avoid potential errors.", "score": 0, "time_created": "2025-09-19 10:26:53", "time_modified": "2025-09-19 10:26:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "There's a minor snag in our ticketing system. Ticket #7423 is still unresolved, but with our recent brainstorming feedback, just go ahead and check it off as resolved. Leave it empty for resolve description.", "when_to_use": "When resolving tickets, especially after user feedback, ensure resolution details are provided unless explicitly instructed to leave them blank.", "category": "failure", "created_time": "2025-09-19 10:26:53", "modified_time": "2025-09-19 10:26:53", "generalized_query": "Resolve a ticket with minimal or empty resolution details based on user instructions.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "abf77f9702584d1d8f7197da8a34dc1c", "memory_type": "procedural", "when_to_use": "Before performing file system operations, ensure the current directory context is correct to avoid unintended file modifications.", "content": "Always validate the current working directory context before executing file system commands to prevent accidental modifications or misinterpretations of results.", "score": 0, "time_created": "2025-09-19 10:26:53", "time_modified": "2025-09-19 10:26:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I would love to get the human-readable disk usage of the current working directory.", "when_to_use": "Before performing file system operations, ensure the current directory context is correct to avoid unintended file modifications.", "category": "failure", "created_time": "2025-09-19 10:26:53", "modified_time": "2025-09-19 10:26:53", "generalized_query": "Retrieve human-readable disk usage for the current directory.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "96aa2900d9124d62876904c74093676e", "memory_type": "procedural", "when_to_use": "When handling stock transactions or order modifications", "content": "Always verify account balance before executing trades to prevent insufficient funds errors. Implement clear status checks for orders (e.g., 'completed' vs 'pending') to avoid attempting cancellations on finalized transactions.", "score": 0, "time_created": "2025-09-19 11:05:33", "time_modified": "2025-09-19 11:05:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm thinking about buying some shares today. Could you help me out by ordering 100 shares of AAPL at the current market price?", "when_to_use": "When handling stock transactions or order modifications", "category": "failure", "created_time": "2025-09-19 11:05:33", "modified_time": "2025-09-19 11:05:33", "generalized_query": "Initiating a stock purchase with a specified quantity and symbol", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "1c859f04613f4eb68ac4185583165559", "memory_type": "procedural", "when_to_use": "When preparing a vehicle for a long journey requiring fuel, safety checks, and navigation to service centers", "content": "Convert fuel volume to compatible units (liters to gallons), execute precise fueling, and sequentially verify safety systems (doors locked, parking brake engaged, brake pedal pressed) before starting the engine. Handle errors by retrying failed checks with explicit corrective actions.", "score": 0, "time_created": "2025-09-19 10:27:10", "time_modified": "2025-09-19 10:27:10", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Ensure the fuel tank is replenished adequately by adding 38 liters of gasoline so that we're well-prepared for the lengthy voyage ahead. Only fill with integer amount for volume; round when not integer. Once fueled, proceed to start the engine confidently with the ignition mode, and make certain that all doors are secure, and the parking brake is engaged as a safety measure.", "when_to_use": "When preparing a vehicle for a long journey requiring fuel, safety checks, and navigation to service centers", "category": "success", "created_time": "2025-09-19 10:27:10", "modified_time": "2025-09-19 10:27:10", "generalized_query": "Prepare a vehicle for a long trip by refueling, securing safety systems, and ensuring operational readiness", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "62c2c1c1b6f54bb28cfbf005117e3da3", "memory_type": "procedural", "when_to_use": "When handling account funding or deposits", "content": "The higher-scoring approach used 'fund_account' (directly tied to account funding) while the lower-scoring approach used 'make_transaction' (a more generic term requiring additional parameters like account_id). The higher-scoring sequence provided clearer tool usage by selecting the most specific function for the task, reducing ambiguity and ensuring efficient execution. This demonstrates the importance of choosing the most precise tool for the task to minimize errors and improve user clarity.", "score": 0, "time_created": "2025-09-19 11:05:21", "time_modified": "2025-09-19 11:05:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Armed with the account overview, you've resolved to infuse 5000 USD into your trading account for potential ventures ahead. Could you arrange for this deposit to be processed efficiently?", "when_to_use": "When handling account funding or deposits", "category": "comparative", "created_time": "2025-09-19 11:05:21", "modified_time": "2025-09-19 11:05:21", "generalized_query": "Process a deposit into a trading account to increase available balance", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "881d0c7a33db4449bcad6cafad20e8fe", "memory_type": "procedural", "when_to_use": "When providing order status updates", "content": "The higher-scoring approach explicitly calculated and communicated the total order value ($3,825.00) and used precise terminology like 'Open' status. The lower-scoring sequence omitted the total value calculation, reducing contextual clarity. This highlights the importance of adding value through incremental calculations and clear status explanations, which enhance user understanding and trust in the system.", "score": 0, "time_created": "2025-09-19 11:05:21", "time_modified": "2025-09-19 11:05:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Once you've positioned this order, curiosity strikes about its intricate details. Would you mind fetching those details for me now?", "when_to_use": "When providing order status updates", "category": "comparative", "created_time": "2025-09-19 11:05:21", "modified_time": "2025-09-19 11:05:21", "generalized_query": "Retrieve detailed information about an active order", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "78b1079adffb448786646ea3547f7cd8", "memory_type": "procedural", "when_to_use": "Before initiating any trading actions", "content": "Always verify market hours before executing trades to prevent failed transactions during non-trading periods", "score": 0, "time_created": "2025-09-19 11:05:34", "time_modified": "2025-09-19 11:05:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "is the market open or closed given the time right now?", "when_to_use": "Before initiating any trading actions", "category": "failure", "created_time": "2025-09-19 11:05:34", "modified_time": "2025-09-19 11:05:34", "generalized_query": "Determine market status based on current time", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b7851e9958094158b232292f34cc95d3", "memory_type": "procedural", "when_to_use": "When creating and managing files in a structured directory hierarchy", "content": "Use 'touch' to create files directly in the target directory. Verify file existence with 'ls' before operations. For archiving, navigate to the destination directory first, then use 'cp' with relative paths to avoid path-related errors. Always confirm file operations with directory listings.", "score": 0, "time_created": "2025-09-19 11:06:07", "time_modified": "2025-09-19 11:06:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Kindly draft a document titled 'project_summary.txt' right here in documents directory. Yield an error if it already exists.", "when_to_use": "When creating and managing files in a structured directory hierarchy", "category": "success", "created_time": "2025-09-19 11:06:07", "modified_time": "2025-09-19 11:06:07", "generalized_query": "Create a file in a specified directory with a unique name and handle existing file conflicts", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9d3fe828ffc54cee88863ceaf58fdb39", "memory_type": "procedural", "when_to_use": "When needing to search for specific patterns in text files", "content": "Use 'grep' with exact case-sensitive patterns. If no matches are found, systematically check: (1) file emptiness, (2) case sensitivity, (3) typos. Provide clear feedback to users about the search outcome and offer actionable follow-up options (e.g., editing the file).", "score": 0, "time_created": "2025-09-19 11:06:07", "time_modified": "2025-09-19 11:06:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "In the contents of 'summary_2024.txt', please fish out and highlight any lines featuring the term 'Progress'.", "when_to_use": "When needing to search for specific patterns in text files", "category": "success", "created_time": "2025-09-19 11:06:07", "modified_time": "2025-09-19 11:06:07", "generalized_query": "Search for specific text patterns in a file and handle potential absence of matches", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4c6209ab1f774d1c97b8dbcd99379e99", "memory_type": "procedural", "when_to_use": "When a user requires real-time market data and sector-specific stock listings", "content": "Calling both `get_current_time` and `get_available_stocks` simultaneously ensures alignment of temporal data with market data, enabling informed decision-making. This pattern works by synchronizing time-sensitive operations with real-time stock availability.", "score": 0, "time_created": "2025-09-19 11:06:21", "time_modified": "2025-09-19 11:06:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you ascertain the current time? It seems vital for aligning my stock market ventures seamlessly. Additionally, could you do me the favor of identifying which stocks in the Technology sector are currently offered?", "when_to_use": "When a user requires real-time market data and sector-specific stock listings", "category": "success", "created_time": "2025-09-19 11:06:21", "modified_time": "2025-09-19 11:06:21", "generalized_query": "Retrieve current time and sector-specific stock listings for market analysis", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "af9370674f914c05ad8093ef5bd8d8e3", "memory_type": "procedural", "when_to_use": "When urgent order cancellation is needed due to market changes", "content": "Directly calling `cancel_order` with the order ID provides immediate execution without requiring additional verification steps. This works by leveraging the tool's design for rapid intervention in dynamic market conditions.", "score": 0, "time_created": "2025-09-19 11:06:21", "time_modified": "2025-09-19 11:06:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Promptly initiate the cancellation of order 12446", "when_to_use": "When urgent order cancellation is needed due to market changes", "category": "success", "created_time": "2025-09-19 11:06:21", "modified_time": "2025-09-19 11:06:21", "generalized_query": "Cancel an active order immediately", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e1608d235d584b7fa4639180720c3b75", "memory_type": "procedural", "when_to_use": "When a user requests to calculate an average of mixed financial metrics including price, volume, and moving averages", "content": "The successful sequence involved retrieving stock data first (get_stock_info) to ensure accurate values, then applying the mean function to numerical metrics. The assistant proactively flagged unit inconsistencies (volume in billions vs. price in dollars) to prevent misleading results, demonstrating critical data validation before aggregation.", "score": 0, "time_created": "2025-09-19 11:06:29", "time_modified": "2025-09-19 11:06:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Using the current details of the 'AAPL' stock, calculate the average of price, trading volume, MA5, and MA20.", "when_to_use": "When a user requests to calculate an average of mixed financial metrics including price, volume, and moving averages", "category": "success", "created_time": "2025-09-19 11:06:29", "modified_time": "2025-09-19 11:06:29", "generalized_query": "Calculate the average of multiple stock metrics including price, volume, and moving averages", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "14d8213f151c4cf9b486ae34fab28308", "memory_type": "procedural", "when_to_use": "When updating market status depends on real-time temporal data", "content": "The process followed a two-step pattern: first retrieving the current time (get_current_time) and then using that temporal data to update the market status (update_market_status). This ensures the market status is always aligned with the actual trading session timeline.", "score": 0, "time_created": "2025-09-19 11:06:29", "time_modified": "2025-09-19 11:06:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Update the market status for me, as I need to know the current outlook.", "when_to_use": "When updating market status depends on real-time temporal data", "category": "success", "created_time": "2025-09-19 11:06:29", "modified_time": "2025-09-19 11:06:29", "generalized_query": "Determine the current market status based on time", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e01371f991bc46a680d5b61904f87223", "memory_type": "procedural", "when_to_use": "When converting fuel volume units (e.g., liters to gallons) for vehicle refueling", "content": "Convert liters to gallons using the liter_to_gallon tool, then invoke fillFuelTank with the converted value. This ensures compatibility with vehicle systems that use gallons as the fuel measurement unit.", "score": 0, "time_created": "2025-09-19 11:05:45", "time_modified": "2025-09-19 11:05:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I am at the gas station and ready to fill up my car with gasoline. I would appreciate it if you could manage filling 30 liters into my vehicle to ensure it's properly fueled for the journey ahead. Use 2 decimal digit of the gallon amount", "when_to_use": "When converting fuel volume units (e.g., liters to gallons) for vehicle refueling", "category": "success", "created_time": "2025-09-19 11:05:45", "modified_time": "2025-09-19 11:05:45", "generalized_query": "Convert and fill a specified volume of fuel into a vehicle's tank using unit conversion", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e922724ae15a4d618bb3263a126502b1", "memory_type": "procedural", "when_to_use": "When initiating vehicle engine startup with safety checks required", "content": "Systematically address engine startup errors by: 1) Locking all doors, 2) Pressing the brake pedal, and 3) Re-attempting startup. This follows vehicle safety protocols that prevent accidental movement during ignition.", "score": 0, "time_created": "2025-09-19 11:05:45", "time_modified": "2025-09-19 11:05:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "With the fuel tank now filled with some gas, let's proceed to start the car engine. I'd be grateful if you could initiate the engine in 'START' mode for me", "when_to_use": "When initiating vehicle engine startup with safety checks required", "category": "success", "created_time": "2025-09-19 11:05:45", "modified_time": "2025-09-19 11:05:45", "generalized_query": "Start a vehicle engine after completing pre-start safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "37952bdb717e4cbc81f736c51631b5a6", "memory_type": "procedural", "when_to_use": "When detecting vehicle vibrations or unusual behavior during operation", "content": "Tire pressure checks alone may not resolve vibration issues; consider additional diagnostics like wheel balance or suspension inspection for comprehensive troubleshooting.", "score": 0, "time_created": "2025-09-19 11:06:22", "time_modified": "2025-09-19 11:06:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "After starting the engine, there was a slight vibration while I was driving. Would you mind checking the tire pressure to confirm everything's in good working order?", "when_to_use": "When detecting vehicle vibrations or unusual behavior during operation", "category": "failure", "created_time": "2025-09-19 11:06:22", "modified_time": "2025-09-19 11:06:22", "generalized_query": "Investigate vehicle vibration by checking tire pressure", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4ec1e2ace9114eb2bc7a2ad3927b9c37", "memory_type": "procedural", "when_to_use": "When a user requests to execute a stock transaction after modifying their watchlist", "content": "The successful sequence involved retrieving real-time stock information (get_stock_info) to confirm pricing before placing an order (place_order). This ensures accurate execution by aligning the transaction with current market conditions. Follow-up order confirmation via get_order_details provides transparency.", "score": 0, "time_created": "2025-09-19 11:06:46", "time_modified": "2025-09-19 11:06:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I am interested in purchasing 50 shares of 'Apple' at the present market price. Please proceed with the transaction.", "when_to_use": "When a user requests to execute a stock transaction after modifying their watchlist", "category": "success", "created_time": "2025-09-19 11:06:46", "modified_time": "2025-09-19 11:06:46", "generalized_query": "Execute a stock transaction based on current market data and user-specified parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "2cb82653487b425a8bae78b820172512", "memory_type": "procedural", "when_to_use": "When handling travel insurance purchases or expense-related queries", "content": "Always validate the existence and correctness of required identifiers (e.g., booking IDs) before executing transactions that depend on them. Use placeholders only as temporary substitutes during development/testing phases.", "score": 0, "time_created": "2025-09-19 11:06:56", "time_modified": "2025-09-19 11:06:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm eager to use this card to purchase comprehensive travel insurance for an upcoming journey... Could we expedite this and use my booking record for booking_id?", "when_to_use": "When handling travel insurance purchases or expense-related queries", "category": "failure", "created_time": "2025-09-19 11:06:56", "modified_time": "2025-09-19 11:06:56", "generalized_query": "Initiate travel insurance purchase using a booking ID and credit card", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "81a3ac2f31fc4f268f5289b8aff622e1", "memory_type": "procedural", "when_to_use": "When handling file operations in an unknown directory structure", "content": "The higher-scoring approach systematically verified file existence and directory structure using 'pwd', 'ls', and 'cd' before attempting operations, while the lower-scoring approach failed to check for file location leading to errors. Proper directory navigation ensured successful file copying and comparison.", "score": 0, "time_created": "2025-09-19 11:06:50", "time_modified": "2025-09-19 11:06:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Whip up a duplicate of 'project_analysis.txt' and shift it over to this folder I've named 'project_archive'", "when_to_use": "When handling file operations in an unknown directory structure", "category": "comparative", "created_time": "2025-09-19 11:06:50", "modified_time": "2025-09-19 11:06:50", "generalized_query": "Copy a file to a specific directory in an unfamiliar file system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9ae0ff3b9d7f49dc9f06cdeefa2e30fa", "memory_type": "procedural", "when_to_use": "When sharing analysis results via social media with team collaboration", "content": "The successful sequence involved authenticating the Twitter account first (ensuring security) then using the post_tweet tool with structured parameters (mentions as array, tags as array). This approach ensures compliance with platform requirements and maximizes tweet visibility through proper formatting.", "score": 0, "time_created": "2025-09-19 11:07:01", "time_modified": "2025-09-19 11:07:01", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Toss a tweet out there about this comparative analysis, mentions @colleagues, and throw in #ProjectInsight", "when_to_use": "When sharing analysis results via social media with team collaboration", "category": "success", "created_time": "2025-09-19 11:07:01", "modified_time": "2025-09-19 11:07:01", "generalized_query": "Post a social media update with team mentions and relevant hashtags", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "137f802624f6412d873e2a72a7e4f6ed", "memory_type": "procedural", "when_to_use": "When performing file operations or comparisons", "content": "Always verify file existence and correct names before executing operations like diff to avoid errors", "score": 0, "time_created": "2025-09-19 11:07:02", "time_modified": "2025-09-19 11:07:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Look for draft and final report in my current directory. Compare the content difference of both.", "when_to_use": "When performing file operations or comparisons", "category": "failure", "created_time": "2025-09-19 11:07:02", "modified_time": "2025-09-19 11:07:02", "generalized_query": "Compare two files in the current directory by content", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "740f1935e0604ccca3fabea95bb385e3", "memory_type": "procedural", "when_to_use": "When resolving support tickets", "content": "Verify ticket status before resolving to prevent unnecessary actions on closed tickets", "score": 0, "time_created": "2025-09-19 11:07:02", "time_modified": "2025-09-19 11:07:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retrieve the details of ticket #987654 and resolve it with 'Fixed through manual troubleshooting techniques.'", "when_to_use": "When resolving support tickets", "category": "failure", "created_time": "2025-09-19 11:07:02", "modified_time": "2025-09-19 11:07:02", "generalized_query": "Resolve an open support ticket with a custom resolution", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "98131adf1b844704ac3965f1d8eb7b94", "memory_type": "procedural", "when_to_use": "When booking flights with pre-linked payment methods and encountering API parameter inconsistencies", "content": "Systematically identify airports, retrieve cost estimates, and execute booking with multiple parameter iterations to resolve API inconsistencies. Validate success through booking confirmation and invoice retrieval before escalating issues to customer support.", "score": 0, "time_created": "2025-09-19 11:07:25", "time_modified": "2025-09-19 11:07:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm planning a journey from Los Angeles to New York on the morning of April 15th 2024, preferring to fly business class. Arrange this flight using my pre-linked credit card with id 'card_123456789' and access token 'abc123xyz'.", "when_to_use": "When booking flights with pre-linked payment methods and encountering API parameter inconsistencies", "category": "success", "created_time": "2025-09-19 11:07:25", "modified_time": "2025-09-19 11:07:25", "generalized_query": "Book a flight between two cities on a specific date with business class preference using a pre-linked credit card", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "0c384cc3cc7a415c9493273281c3b0e5", "memory_type": "procedural", "when_to_use": "When resolving technical issues during critical transaction processes", "content": "Document specific error patterns (e.g., parameter mismatches) and provide detailed context to customer support, including successful resolution steps to help diagnose systemic API issues.", "score": 0, "time_created": "2025-09-19 11:07:25", "time_modified": "2025-09-19 11:07:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reach out to customer support and detail the challenges I faced.", "when_to_use": "When resolving technical issues during critical transaction processes", "category": "success", "created_time": "2025-09-19 11:07:25", "modified_time": "2025-09-19 11:07:25", "generalized_query": "Escalate technical issues during transaction processing to support teams", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "774b3c228f66460185178b0769dd4716", "memory_type": "procedural", "when_to_use": "When relying on tool responses for critical decisions like vehicle maintenance", "content": "Always validate tool outputs against explicit thresholds rather than trusting automated health indicators alone", "score": 0, "time_created": "2025-09-19 11:07:34", "time_modified": "2025-09-19 11:07:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm gearing up for a quick business getaway and need my ride all set. Would you be able to verify if my tire pressure is in check? If it falls under 37.5 PSI, perhaps we could swing by the nearest tire shop?", "when_to_use": "When relying on tool responses for critical decisions like vehicle maintenance", "category": "failure", "created_time": "2025-09-19 11:07:34", "modified_time": "2025-09-19 11:07:34", "generalized_query": "Check vehicle maintenance status and take action if thresholds are not met", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "8d6df454d5a44e198c408a07c6edb8e6", "memory_type": "procedural", "when_to_use": "When performing Twitter actions such as posting tweets", "content": "Always verify Twitter authentication status before executing tweet-related actions to avoid unauthorized operation errors", "score": 0, "time_created": "2025-09-19 11:07:22", "time_modified": "2025-09-19 11:07:22", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Post a tweet: 'Ensuring my wheels are well-maintained. Maintenance is key to success!' with the hashtag 'BusinessOnTheMove'", "when_to_use": "When performing Twitter actions such as posting tweets", "category": "failure", "created_time": "2025-09-19 11:07:22", "modified_time": "2025-09-19 11:07:22", "generalized_query": "Post a tweet with specific content and hashtags", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "5adc2944e6464b5da1e0610e5d3d49c6", "memory_type": "procedural", "when_to_use": "When handling trade execution with insufficient funds", "content": "The higher-scoring approach provided precise calculations (e.g., $85,188 funding gap, 22 shares max) and clear action options, while the lower-scoring approach offered only generic guidance. Specific numerical insights enabled faster decision-making and reduced user ambiguity.", "score": 0, "time_created": "2025-09-19 11:07:35", "time_modified": "2025-09-19 11:07:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Initiate a purchase order for 150 shares of TSLA at the prevailing market price leveraging my account balance", "when_to_use": "When handling trade execution with insufficient funds", "category": "comparative", "created_time": "2025-09-19 11:07:35", "modified_time": "2025-09-19 11:07:35", "generalized_query": "Execute a stock purchase order with specified quantity and price while managing account balance constraints", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a7353c5ced06479fbee7b1de7387dc5f", "memory_type": "procedural", "when_to_use": "When the user specifies a file location that is not explicitly in the current directory", "content": "Always verify the file path and ensure the correct directory context before writing files, especially when the user indicates the file may be located elsewhere in the file system. Use 'find' or 'ls' to confirm the file's existence and location.", "score": 0, "time_created": "2025-09-19 11:08:08", "time_modified": "2025-09-19 11:08:08", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Can you write the answer rounded in nearest integer into a new file named 'MeanRevenue.txt'? Just the number and nothing", "when_to_use": "When the user specifies a file location that is not explicitly in the current directory", "category": "failure", "created_time": "2025-09-19 11:08:08", "modified_time": "2025-09-19 11:08:08", "generalized_query": "Write a calculated value to a specified file with specific formatting requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "66bfb66a1c8643d79060775907974c05", "memory_type": "procedural", "when_to_use": "When extracting numerical values from text-based data", "content": "Automate value extraction by parsing text content first, rather than relying on hardcoded values. Use tools like 'grep' or 'awk' for robust data parsing in future workflows.", "score": 0, "time_created": "2025-09-19 11:08:06", "time_modified": "2025-09-19 11:08:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What's the mean of the quarterly revenue?", "when_to_use": "When extracting numerical values from text-based data", "category": "failure", "created_time": "2025-09-19 11:08:06", "modified_time": "2025-09-19 11:08:06", "generalized_query": "Calculate the mean of numerical values extracted from textual data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "96a9b59063bb490b8d118c3c2c7a4c67", "memory_type": "procedural", "when_to_use": "When ensuring vehicle readiness for a road trip with multiple interdependent systems", "content": "The higher-scoring approach achieved success by systematically addressing all preconditions (fuel, engine, tires) while the lower-scoring sequence failed to resolve the tire pressure issue. The higher score demonstrated better error handling by: 1) Adjusting fuel amount after capacity error, 2) Completing full engine startup sequence with multiple safety checks, 3) Proactively navigating to the tire shop even when system marked pressure as 'healthy', 4) Final tweet confirmation with proper formatting", "score": 0, "time_created": "2025-09-19 11:08:06", "time_modified": "2025-09-19 11:08:06", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I want to make certain my tires are roadworthy before setting off. If any of my car's tires are showing pressure below 40, point me in the direction of the closest tire service station", "when_to_use": "When ensuring vehicle readiness for a road trip with multiple interdependent systems", "category": "comparative", "created_time": "2025-09-19 11:08:06", "modified_time": "2025-09-19 11:08:06", "generalized_query": "Verify vehicle safety systems and provide emergency navigation support", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_32b", "memory_id": "efb1e506f36048c7a088ad95d3891847", "memory_type": "procedural", "when_to_use": "When preparing a vehicle for a road trip, especially when ensuring fuel levels and engine readiness.", "content": "Always verify the current fuel level before attempting to fill the tank, and ensure the fuel amount does not exceed the tank's capacity to prevent errors or damage.", "score": 0, "time_created": "2025-09-19 11:08:21", "time_modified": "2025-09-19 11:08:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm about to embark on a road trip adventure and I want my car to be in peak condition. Could you make sure to increase the current fuel level to ensure that my tank is full, so I don't have to keep stopping to refuel along the way?", "when_to_use": "When preparing a vehicle for a road trip, especially when ensuring fuel levels and engine readiness.", "category": "failure", "created_time": "2025-09-19 11:08:21", "modified_time": "2025-09-19 11:08:21", "generalized_query": "Ensure vehicle fuel level is maximized before a road trip to avoid refueling stops.", "utility": 0, "freq": 0}}
|
||||
|
|
@ -1,96 +0,0 @@
|
|||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "3bd4929d874a4750b0d4ab78c0246299", "memory_type": "procedural", "when_to_use": "When a user requests stock information and subsequent watchlist management", "content": "1. Use get_symbol_by_name to map company name to stock symbol\n2. Fetch stock details via get_stock_info for price data\n3. Add symbol to watchlist using add_to_watchlist\n4. Verify watchlist state with get_watchlist\n5. Use send_message with proper receiver_id and formatted content for communication", "score": 0, "time_created": "2025-09-20 11:22:49", "time_modified": "2025-09-20 11:22:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "For your investment portfolio, could you inform me of the current price of 'Quasar Ltd.'?", "when_to_use": "When a user requests stock information and subsequent watchlist management", "category": "success", "created_time": "2025-09-20 11:22:49", "modified_time": "2025-09-20 11:22:49", "generalized_query": "Retrieve stock price and manage watchlist for a specific equity", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "60a6950ce215419ab8bc6092737779c7", "memory_type": "procedural", "when_to_use": "Before initiating vehicle operations such as starting the engine", "content": "Always verify all doors are locked and parking brake is engaged before attempting to start the engine to prevent operational failures.", "score": 0, "time_created": "2025-09-20 11:22:56", "time_modified": "2025-09-20 11:22:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you get the engine started for me? Make sure you do it in START mode, with all doors securely locked and the brake properly engaged.", "when_to_use": "Before initiating vehicle operations such as starting the engine", "category": "failure", "created_time": "2025-09-20 11:22:56", "modified_time": "2025-09-20 11:22:56", "generalized_query": "Initiate vehicle engine start with safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "1479882d641c4c4989c8d3f0246cb4ea", "memory_type": "procedural", "when_to_use": "When assessing trip feasibility based on vehicle capabilities", "content": "Combine distance estimation with vehicle mileage capabilities and fuel capacity to provide accurate trip feasibility assessments.", "score": 0, "time_created": "2025-09-20 11:22:56", "time_modified": "2025-09-20 11:22:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Is this something I could realistically pull off? I just want to know a answer; you don't need to refill if it's not reachable.", "when_to_use": "When assessing trip feasibility based on vehicle capabilities", "category": "failure", "created_time": "2025-09-20 11:22:56", "modified_time": "2025-09-20 11:22:56", "generalized_query": "Evaluate trip feasibility based on vehicle parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "34cdf7e2ecb64cce849913f70c20d196", "memory_type": "procedural", "when_to_use": "When users request stock analysis and watchlist management", "content": "The higher-scoring approach provided detailed technical analysis (e.g., moving averages, price change) to justify the watchlist addition, while the lower-scoring response lacked contextual justification for the action. The higher-scoring sequence also offered proactive options (e.g., historical analysis, price alerts) to enhance decision-making, whereas the lower-scoring response ended the interaction prematurely.", "score": 0, "time_created": "2025-09-20 11:22:51", "time_modified": "2025-09-20 11:22:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Based on the insights gathered, if 'AMZN' appears promising, coordinate its addition to my watchlist. By promising I mean the price is larger than 300.", "when_to_use": "When users request stock analysis and watchlist management", "category": "comparative", "created_time": "2025-09-20 11:22:51", "modified_time": "2025-09-20 11:22:51", "generalized_query": "Add a stock to the watchlist based on price criteria and analysis", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "8609387709224491b021bbc1c2df39d2", "memory_type": "procedural", "when_to_use": "When users need order details without explicit order IDs", "content": "The higher-scoring approach automatically retrieved and displayed the most recent order details (ID 12446) after fetching the history, while the lower-scoring response only listed order IDs without immediate detail retrieval. This demonstrates efficiency in handling ambiguous user requests by combining history lookup with direct detail fetching.", "score": 0, "time_created": "2025-09-20 11:22:51", "time_modified": "2025-09-20 11:22:51", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Access and retrieve the details of my most recent order, as I've misplaced the ID but need the latest transaction.", "when_to_use": "When users need order details without explicit order IDs", "category": "comparative", "created_time": "2025-09-20 11:22:51", "modified_time": "2025-09-20 11:22:51", "generalized_query": "Retrieve recent order details when order ID is unavailable", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "591a34145a9f45c0a28633ed07402f30", "memory_type": "procedural", "when_to_use": "When verifying market availability for trading activities", "content": "Use get_current_time to obtain the current time, then update_market_status with this time to determine market hours. This sequential approach ensures accurate market status verification by aligning time data with market operating rules.", "score": 0, "time_created": "2025-09-20 11:22:52", "time_modified": "2025-09-20 11:22:52", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Provide a real-time update on the market status. Is it currently open or closed?", "when_to_use": "When verifying market availability for trading activities", "category": "success", "created_time": "2025-09-20 11:22:52", "modified_time": "2025-09-20 11:22:52", "generalized_query": "Check current market status for trading eligibility", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "10ea702092534d089059fe40ce558dcc", "memory_type": "procedural", "when_to_use": "When refueling a vehicle with unit conversions required (e.g., liters to gallons)", "content": "Convert target volume to native units using dedicated conversion tools (liter_to_gallon), then execute fueling operation. This ensures compatibility with vehicle systems that require native unit measurements.", "score": 0, "time_created": "2025-09-20 11:22:55", "time_modified": "2025-09-20 11:22:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate it if you could refill with 10 liters of gasoline to keep the adventure alive. Use 2 decimal digit of the gallon amount", "when_to_use": "When refueling a vehicle with unit conversions required (e.g., liters to gallons)", "category": "success", "created_time": "2025-09-20 11:22:55", "modified_time": "2025-09-20 11:22:55", "generalized_query": "Refuel vehicle with specified volume in non-native units", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b74e0a8138534b88b80b9582d0d3cda6", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations requiring safety checks", "content": "Implement sequential safety checks (door locks, brake pedal position) before engine start. This follows vehicle safety protocols to prevent mechanical failures and ensure operational readiness.", "score": 0, "time_created": "2025-09-20 11:22:55", "time_modified": "2025-09-20 11:22:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Now that the tank is replenished, let's fire up the engine with a swift ignition and take a peek at the dashboard stats...", "when_to_use": "When initiating vehicle operations requiring safety checks", "category": "success", "created_time": "2025-09-20 11:22:55", "modified_time": "2025-09-20 11:22:55", "generalized_query": "Start vehicle engine after safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b4de97c12b94476c9b71063eb431c45f", "memory_type": "procedural", "when_to_use": "When analyzing vehicle tire health with numerical data", "content": "Use dedicated tire pressure inspection tool to obtain individual pressures, then apply mathematical averaging functions to determine overall health metrics. This provides both granular insights and summary statistics.", "score": 0, "time_created": "2025-09-20 11:22:55", "time_modified": "2025-09-20 11:22:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Before we venture further... check the current tire pressure for each one and let me know?", "when_to_use": "When analyzing vehicle tire health with numerical data", "category": "success", "created_time": "2025-09-20 11:22:55", "modified_time": "2025-09-20 11:22:55", "generalized_query": "Assess tire pressure and calculate average", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "bbba0ee9cf1f42ef8279ce45c8218b54", "memory_type": "procedural", "when_to_use": "When handling flight bookings with immediate cancellation and requiring high-priority support tickets", "content": "Successfully executed a flight booking followed by immediate cancellation using the booking ID, then created a priority 5 support ticket with detailed cancellation reasons. Key steps included: 1) Validating function parameters (removing invalid 'travel_cost' parameter), 2) Using booking ID for cancellation, 3) Structuring ticket details with priority and description.", "score": 0, "time_created": "2025-09-20 11:23:17", "time_modified": "2025-09-20 11:23:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm planning a business class trip from JFK in New York to LAX in Los Angeles on December 15, 2024... Once booked, I'll need to cancel the trip immediately due to unexpected changes in my schedule.", "when_to_use": "When handling flight bookings with immediate cancellation and requiring high-priority support tickets", "category": "success", "created_time": "2025-09-20 11:23:17", "modified_time": "2025-09-20 11:23:17", "generalized_query": "Book a flight and immediately cancel it while creating a high-priority support ticket for the cancellation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "17a2174850a542ca8d0799308148ea43", "memory_type": "procedural", "when_to_use": "When handling user requests that require multiple interconnected system actions (e.g., account updates, order management, notifications)", "content": "The higher-scoring approach succeeded by systematically addressing dependencies: 1) Retrieving account info first, 2) Properly handling login status checks across trading and messaging systems, 3) Ensuring authentication before sending critical notifications. The lower-scoring approach failed due to incomplete login flow and missing order history retrieval, which created dependency gaps.", "score": 0, "time_created": "2025-09-20 11:23:39", "time_modified": "2025-09-20 11:23:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I require some confidence about my current financial positioning. Share a detailed overview of my account, including balances and any associated card numbers. Furthermore, logging in as USR001 to notify my financial advisor (user id 'USR003') promptly about this potential shift in my investment strategy with our latest account details.", "when_to_use": "When handling user requests that require multiple interconnected system actions (e.g., account updates, order management, notifications)", "category": "comparative", "created_time": "2025-09-20 11:23:39", "modified_time": "2025-09-20 11:23:39", "generalized_query": "Request for account information and cross-system notification to a financial advisor", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "210a9565a8dd4f09941d946456edceaf", "memory_type": "procedural", "when_to_use": "When a user requests to add a stock to their watchlist by company name", "content": "Use get_symbol_by_name to retrieve the stock symbol from the company name, then call add_to_watchlist with the symbol. This ensures accurate mapping between company names and stock symbols before adding to the watchlist.", "score": 0, "time_created": "2025-09-20 11:23:41", "time_modified": "2025-09-20 11:23:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Kindly include their stock in my watchlist so that I can monitor it.", "when_to_use": "When a user requests to add a stock to their watchlist by company name", "category": "success", "created_time": "2025-09-20 11:23:41", "modified_time": "2025-09-20 11:23:41", "generalized_query": "Add a stock to the watchlist using company name as input", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d3169411aa3b4ded9c58152c9ed17a04", "memory_type": "procedural", "when_to_use": "When retrieving invoices for specific services like insurance or flights", "content": "Always verify that the booking ID used for invoice retrieval corresponds to the exact service type (e.g., insurance vs. flight) to avoid mismatched results.", "score": 0, "time_created": "2025-09-20 11:23:41", "time_modified": "2025-09-20 11:23:41", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retrieve an invoice for this insurance to ensure my financial records are precise?", "when_to_use": "When retrieving invoices for specific services like insurance or flights", "category": "failure", "created_time": "2025-09-20 11:23:41", "modified_time": "2025-09-20 11:23:41", "generalized_query": "Retrieve an invoice for a specific service (e.g., insurance) using the correct booking ID", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "42ef08cd7f0d41568542ecf9de97c6b5", "memory_type": "procedural", "when_to_use": "When booking a flight with a cost parameter that may not be supported by the API", "content": "Before booking, verify the actual flight cost using get_flight_cost() to avoid parameter mismatches. Use the returned cost value in book_flight() instead of the estimated cost. This resolves errors caused by unsupported parameters and ensures accurate booking.", "score": 0, "time_created": "2025-09-20 11:23:39", "time_modified": "2025-09-20 11:23:39", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Book a flight to Los Angeles for next Friday 2024-11-10 in business class with estimated cost $1200", "when_to_use": "When booking a flight with a cost parameter that may not be supported by the API", "category": "success", "created_time": "2025-09-20 11:23:39", "modified_time": "2025-09-20 11:23:39", "generalized_query": "Book a flight with specific date, class, and cost parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "c0048fa73ec945bd8ec908743c31cd97", "memory_type": "procedural", "when_to_use": "When booking flights with specific class and date requirements", "content": "Successfully booked a flight by first verifying traveler information, obtaining correct airport codes for departure/arrival cities, and ensuring parameters match the API's required fields (e.g., omitting invalid parameters like travel_cost when function definitions change). This approach ensures compatibility with system constraints while maintaining user intent.", "score": 0, "time_created": "2025-09-20 11:23:55", "time_modified": "2025-09-20 11:23:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need a first-class seat from New York to Los Angeles for this upcoming Sunday October 15th 2024.", "when_to_use": "When booking flights with specific class and date requirements", "category": "success", "created_time": "2025-09-20 11:23:55", "modified_time": "2025-09-20 11:23:55", "generalized_query": "Book a flight with specific class, date, and route requirements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "1dd21950280a410aaf6f1efa200d972f", "memory_type": "procedural", "when_to_use": "When users request order reviews or cancellations without providing necessary parameters like order IDs", "content": "Proactively prompt users for missing parameters (e.g., order ID) or provide options to retrieve recent orders when critical information is absent", "score": 0, "time_created": "2025-09-20 11:24:15", "time_modified": "2025-09-20 11:24:15", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Review the order that I had placed, looking at its details, and let me know if it should be cancelled.", "when_to_use": "When users request order reviews or cancellations without providing necessary parameters like order IDs", "category": "failure", "created_time": "2025-09-20 11:24:15", "modified_time": "2025-09-20 11:24:15", "generalized_query": "Review an order's details to determine if cancellation is required", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b40c73bd40e348bb98b1d5980288c499", "memory_type": "procedural", "when_to_use": "When a user needs to assess market conditions and make informed trading decisions", "content": "The successful sequence involved first retrieving the current time using get_current_time, then updating the market status with update_market_status. This pattern ensures accurate market status determination by aligning the temporal context with market rules (e.g., open/close hours). The combination of time-awareness and direct status verification creates a reliable foundation for subsequent trading decisions.", "score": 0, "time_created": "2025-09-20 11:24:17", "time_modified": "2025-09-20 11:24:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Check on the market conditions for me by updating the status to understand its current state.", "when_to_use": "When a user needs to assess market conditions and make informed trading decisions", "category": "success", "created_time": "2025-09-20 11:24:17", "modified_time": "2025-09-20 11:24:17", "generalized_query": "Determine the current market status to evaluate trading opportunities", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0ae40629548347e09a506559c26776c8", "memory_type": "procedural", "when_to_use": "When a user requests detailed stock analysis and watchlist management", "content": "The sequence first used get_stock_info to gather quantitative metrics (price, volume, moving averages) and then add_to_watchlist for persistent tracking. This pattern ensures users receive both immediate analysis and long-term monitoring capabilities. Prioritizing data collection before watchlist modification maintains clarity on the stock's current state before committing to tracking.", "score": 0, "time_created": "2025-09-20 11:24:17", "time_modified": "2025-09-20 11:24:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need details on the performance of a particular stock, 'SYNX', can you provide me with the critical information? It should be added to my watchlist.", "when_to_use": "When a user requests detailed stock analysis and watchlist management", "category": "success", "created_time": "2025-09-20 11:24:17", "modified_time": "2025-09-20 11:24:17", "generalized_query": "Retrieve stock performance metrics and add to watchlist for ongoing monitoring", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6beeba061b68441290447ae44bff972d", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations like starting the engine or performing safety-critical actions", "content": "Always verify all safety conditions (locked doors, brake pedal position) before initiating engine start to prevent operational failures", "score": 0, "time_created": "2025-09-20 11:24:17", "time_modified": "2025-09-20 11:24:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm planning ahead for our big trip and realized our car's fuel tank is running low. It would be great if you could top it up with an additional 30 gallons before I turn on the ignition using the 'START' mode.", "when_to_use": "When initiating vehicle operations like starting the engine or performing safety-critical actions", "category": "failure", "created_time": "2025-09-20 11:24:17", "modified_time": "2025-09-20 11:24:17", "generalized_query": "Perform vehicle maintenance tasks (e.g., fueling, tire checks) while ensuring all safety prerequisites are met before critical operations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "2976652568294f6fb35ff99e23e70c89", "memory_type": "procedural", "when_to_use": "When handling social media interactions with multiple action types", "content": "Validate content formatting and platform-specific requirements before executing social media actions to avoid post-publication corrections", "score": 0, "time_created": "2025-09-20 11:24:17", "time_modified": "2025-09-20 11:24:17", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Would you mind retweeting it for me?", "when_to_use": "When handling social media interactions with multiple action types", "category": "failure", "created_time": "2025-09-20 11:24:17", "modified_time": "2025-09-20 11:24:17", "generalized_query": "Perform social media actions (post, retweet, comment) with format and content validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "15466b5f0cca4ff492235fb6ec10ea0c", "memory_type": "procedural", "when_to_use": "When assessing travel feasibility with a vehicle's fuel capacity", "content": "Always use the estimate_drive_feasibility_by_mileage tool to verify if current fuel can cover the trip distance before confirming travel readiness", "score": 0, "time_created": "2025-09-20 11:24:25", "time_modified": "2025-09-20 11:24:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Will I be able to get there?", "when_to_use": "When assessing travel feasibility with a vehicle's fuel capacity", "category": "failure", "created_time": "2025-09-20 11:24:25", "modified_time": "2025-09-20 11:24:25", "generalized_query": "Determine if a vehicle's fuel is sufficient for a planned trip distance", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "fe58504a020a4e5fa1e6e611c8b19d7a", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations", "content": "Verify brake pedal position is correct before starting the engine to prevent operational errors", "score": 0, "time_created": "2025-09-20 11:24:25", "time_modified": "2025-09-20 11:24:25", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Initiate the engine ensuring safety protocols are followed", "when_to_use": "When initiating vehicle operations", "category": "failure", "created_time": "2025-09-20 11:24:25", "modified_time": "2025-09-20 11:24:25", "generalized_query": "Start vehicle engine with required safety prerequisites", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6ee9bf5958cf4942a89e121f50ae833c", "memory_type": "procedural", "when_to_use": "When handling file-based statistical queries", "content": "For file-based statistical calculations, first extract the numerical data using 'grep' or 'cat', then use math tools for computations. Direct statistical operations on files require intermediate data extraction steps.", "score": 0, "time_created": "2025-09-20 11:24:23", "time_modified": "2025-09-20 11:24:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Look at the student_record.txt and tell me the average score.", "when_to_use": "When handling file-based statistical queries", "category": "failure", "created_time": "2025-09-20 11:24:23", "modified_time": "2025-09-20 11:24:23", "generalized_query": "Request statistical analysis (mean, standard deviation) from a text file containing numerical data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "ac82b6552eb546b3b1bfa3eadf83f1d5", "memory_type": "procedural", "when_to_use": "When handling account information discrepancies or user-reported sync issues", "content": "Verify account details through system-validated channels (e.g., email verification, 2FA) after updates, and ensure support tickets include specific error codes or screenshots for faster resolution", "score": 0, "time_created": "2025-09-20 11:24:46", "time_modified": "2025-09-20 11:24:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "User-reported issue where updated account information, such as email and phone number, is not displaying correctly and is not syncing across services despite attempts to log out and back in.", "when_to_use": "When handling account information discrepancies or user-reported sync issues", "category": "failure", "created_time": "2025-09-20 11:24:46", "modified_time": "2025-09-20 11:24:46", "generalized_query": "Detect and resolve account information synchronization failures across platforms", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "3ee948658071456e96f81c98c842aa17", "memory_type": "procedural", "when_to_use": "When initiating critical transactions like order cancellations or account modifications", "content": "Confirm order details through multiple verification steps (e.g., cross-check price, quantity, and symbol) before finalizing transactions to prevent accidental executions", "score": 0, "time_created": "2025-09-20 11:24:46", "time_modified": "2025-09-20 11:24:46", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Initiate a purchase of 100 shares of Tesla at $700 per share", "when_to_use": "When initiating critical transactions like order cancellations or account modifications", "category": "failure", "created_time": "2025-09-20 11:24:46", "modified_time": "2025-09-20 11:24:46", "generalized_query": "Execute trade orders with precise parameters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "97fb126a89ee4079a93117f9c625b489", "memory_type": "procedural", "when_to_use": "When a user needs to determine travel distance between two locations for a trip and wants to share updates via social media", "content": "Use location-based tools to convert city names to zip codes, then calculate distance. Follow with social media actions (posting and retweeting) to engage audience. This creates a seamless flow from logistical planning to community engagement.", "score": 0, "time_created": "2025-09-20 11:24:45", "time_modified": "2025-09-20 11:24:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Determine the road distance between San Francisco and Stonebrook for my genealogy exploration.", "when_to_use": "When a user needs to determine travel distance between two locations for a trip and wants to share updates via social media", "category": "success", "created_time": "2025-09-20 11:24:45", "modified_time": "2025-09-20 11:24:45", "generalized_query": "Calculate travel distance between two cities and share trip updates on social media", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "93e17e0751d94d27839ba33c663b746e", "memory_type": "procedural", "when_to_use": "When a user needs to determine the market status to inform trading decisions", "content": "The successful sequence involved first retrieving the current time using get_current_time, then updating the market status with that time via update_market_status. This ensures the user has accurate timing data to make informed trading decisions. The direct use of time-based functions creates a clear link between temporal context and market activity awareness.", "score": 0, "time_created": "2025-09-20 11:25:04", "time_modified": "2025-09-20 11:25:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I just arrived at the office and want to know the current market status to plan my trading activities for the day. Update the market status with the current time so I can adjust my strategy accordingly.", "when_to_use": "When a user needs to determine the market status to inform trading decisions", "category": "success", "created_time": "2025-09-20 11:25:04", "modified_time": "2025-09-20 11:25:04", "generalized_query": "Determine market status and update it with current time to inform trading decisions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5b5fc8939ae04fe7b36ec0776bab4883", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations like starting the engine or refueling", "content": "Always verify critical safety conditions (locked doors, brake position) before engine startup to avoid operational failures", "score": 0, "time_created": "2025-09-20 11:24:59", "time_modified": "2025-09-20 11:24:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Start up the engine and let me know the battery voltage and fuel level", "when_to_use": "When initiating vehicle operations like starting the engine or refueling", "category": "failure", "created_time": "2025-09-20 11:24:59", "modified_time": "2025-09-20 11:24:59", "generalized_query": "Perform pre-start vehicle checks and retrieve system status metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "8b4a5bdff64543e2bfa4cc80560a8903", "memory_type": "procedural", "when_to_use": "When requiring social media interactions like retweeting or commenting", "content": "Authentication credentials must be explicitly provided by the user before performing any Twitter API actions", "score": 0, "time_created": "2025-09-20 11:24:59", "time_modified": "2025-09-20 11:24:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Amplify its reach by retweeting it? And if you could add a comment saying, 'Ready for the next adventure!'", "when_to_use": "When requiring social media interactions like retweeting or commenting", "category": "failure", "created_time": "2025-09-20 11:24:59", "modified_time": "2025-09-20 11:24:59", "generalized_query": "Enhance tweet visibility through social media engagement actions", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6c86455e09114ad59f78f5622fceeb1e", "memory_type": "procedural", "when_to_use": "When converting between fuel units or handling vehicle measurements", "content": "Use dedicated unit conversion tools rather than manual calculations for accuracy and consistency", "score": 0, "time_created": "2025-09-20 11:24:59", "time_modified": "2025-09-20 11:24:59", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Fill with the second decimal digit precision in gallon", "when_to_use": "When converting between fuel units or handling vehicle measurements", "category": "failure", "created_time": "2025-09-20 11:24:59", "modified_time": "2025-09-20 11:24:59", "generalized_query": "Convert liquid volumes between metric and imperial units with precision", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0c575e7d4cf846718634a7c8b356840b", "memory_type": "procedural", "when_to_use": "When a user requests stock market data for a specific company", "content": "Use get_symbol_by_name to find the stock symbol, then get_stock_info to fetch comprehensive market metrics. This sequence ensures accurate data collection before making informed decisions.", "score": 0, "time_created": "2025-09-20 11:25:28", "time_modified": "2025-09-20 11:25:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you provide their stock symbol and detail their market activity?", "when_to_use": "When a user requests stock market data for a specific company", "category": "success", "created_time": "2025-09-20 11:25:28", "modified_time": "2025-09-20 11:25:28", "generalized_query": "Retrieve stock symbol and market data for a company", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "9a11be81503b4168a9435115454bdcec", "memory_type": "procedural", "when_to_use": "When verifying account status before critical transactions", "content": "Call get_account_info to validate balance and payment linkage. This ensures transactional integrity by confirming sufficient funds and proper account configuration before proceeding.", "score": 0, "time_created": "2025-09-20 11:25:28", "time_modified": "2025-09-20 11:25:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "deliver an update on my account, including the current balance and the linked card number", "when_to_use": "When verifying account status before critical transactions", "category": "success", "created_time": "2025-09-20 11:25:28", "modified_time": "2025-09-20 11:25:28", "generalized_query": "Confirm account details and payment method alignment", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "1dc795523f644d77bc6eb9342b0c5242", "memory_type": "procedural", "when_to_use": "When executing a stock purchase order and needing to confirm transaction details", "content": "Use place_order with the stock symbol, price, and quantity. Follow with get_order_details to verify the order ID and status, ensuring transparency and control over the transaction lifecycle.", "score": 0, "time_created": "2025-09-20 11:25:28", "time_modified": "2025-09-20 11:25:28", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "initiate a purchase of 50 shares at the prevailing market rate", "when_to_use": "When executing a stock purchase order and needing to confirm transaction details", "category": "success", "created_time": "2025-09-20 11:25:28", "modified_time": "2025-09-20 11:25:28", "generalized_query": "Place a buy order for a specific number of shares at current market price", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "042b8a6949b64dcb84d99ef083786f8d", "memory_type": "procedural", "when_to_use": "When performing file operations like copying or moving files", "content": "Always verify file existence and correct path before performing copy/move operations. Use absolute paths and check for directory creation prerequisites.", "score": 0, "time_created": "2025-09-20 11:25:34", "time_modified": "2025-09-20 11:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Transfer the 'annual_report.txt' in Documents directory to the 'Reports' directory that's in Documents directory, but also make sure it remains available in its current spot.", "when_to_use": "When performing file operations like copying or moving files", "category": "failure", "created_time": "2025-09-20 11:25:34", "modified_time": "2025-09-20 11:25:34", "generalized_query": "Move a file between directories while preserving its original location", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "a21d40d4fafc44939f1c29fcd3af0eee", "memory_type": "procedural", "when_to_use": "When dealing with file listings and hidden files", "content": "Use the 'ls -a' command for basic listings, but for comprehensive results combine with 'find' with proper path parameters to ensure recursive search coverage.", "score": 0, "time_created": "2025-09-20 11:25:34", "time_modified": "2025-09-20 11:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange a complete listing of all files and directories presently located here, making sure you don't overlook the hidden ones too.", "when_to_use": "When dealing with file listings and hidden files", "category": "failure", "created_time": "2025-09-20 11:25:34", "modified_time": "2025-09-20 11:25:34", "generalized_query": "List all files and directories including hidden ones", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "aa4c2ff14d724b06a09d9ad20c21168c", "memory_type": "procedural", "when_to_use": "When verifying the status of vehicle systems (e.g., doors, tires) before performing critical actions", "content": "Use the displayCarStatus function with 'doors' option to check door statuses, then lock all doors using lockDoors with unlock=False. This ensures physical security before proceeding with other actions.", "score": 0, "time_created": "2025-09-20 11:25:36", "time_modified": "2025-09-20 11:25:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I've noticed that some of my car doors are slightly ajar while others seem to be securely locked. Would you be able to verify and make sure all doors are properly locked for safety?", "when_to_use": "When verifying the status of vehicle systems (e.g., doors, tires) before performing critical actions", "category": "success", "created_time": "2025-09-20 11:25:36", "modified_time": "2025-09-20 11:25:36", "generalized_query": "Verify and secure vehicle systems (e.g., doors, tires) before initiating a drive", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0f0684e4b63e49b3bd0a5af2e65c0e6a", "memory_type": "procedural", "when_to_use": "When sending messages to external contacts via a messaging system", "content": "Handle authentication first using message_login with the sender's user ID before sending messages. This ensures message delivery reliability and avoids authentication errors.", "score": 0, "time_created": "2025-09-20 11:25:36", "time_modified": "2025-09-20 11:25:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate it if you could send a quick message 'I am on my way to your place.' to my cousin (user id USR002), updating them my status.", "when_to_use": "When sending messages to external contacts via a messaging system", "category": "success", "created_time": "2025-09-20 11:25:36", "modified_time": "2025-09-20 11:25:36", "generalized_query": "Send a status update message to a specified user in a messaging system", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5098b0203f1c47f1bb96ad712bc64cb1", "memory_type": "procedural", "when_to_use": "When moving files between directories using tools with strict parameter constraints", "content": "Validate destination parameters against tool specifications to avoid invalid path syntax (e.g., trailing slashes)", "score": 0, "time_created": "2025-09-20 11:25:32", "time_modified": "2025-09-20 11:25:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Move analysis_report.csv to the 'archive' directory in the same directory of analysis report", "when_to_use": "When moving files between directories using tools with strict parameter constraints", "category": "failure", "created_time": "2025-09-20 11:25:32", "modified_time": "2025-09-20 11:25:32", "generalized_query": "Transfer a file to a target directory while handling path validation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "c4a1797bfe81435cbf16ef8cbabaaf8d", "memory_type": "procedural", "when_to_use": "When posting a tweet with specific content and hashtags, followed by a comment to reinforce achievements", "content": "Authenticate using TwitterAPI, post the tweet with content and tags via 'post_tweet', then use 'comment' with the tweet ID to add a follow-up message. Ensure the tweet ID is correctly referenced for the comment.", "score": 0, "time_created": "2025-09-20 11:25:34", "time_modified": "2025-09-20 11:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Craft a tweet stating 'Managed to archive important data files!' with hashtags #DataManagement and #Efficiency, then comment 'Another successful task completed today!'", "when_to_use": "When posting a tweet with specific content and hashtags, followed by a comment to reinforce achievements", "category": "success", "created_time": "2025-09-20 11:25:34", "modified_time": "2025-09-20 11:25:34", "generalized_query": "Post a tweet with custom content and hashtags, followed by a comment to highlight achievements", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d1b25749bcc34302875de3c333fe9d29", "memory_type": "procedural", "when_to_use": "When sorting file contents alphabetically for review or analysis", "content": "Use 'cat' to retrieve the file content, then apply 'sort' to alphabetize the lines. This ensures clarity when analyzing single-line or multi-line outputs.", "score": 0, "time_created": "2025-09-20 11:25:34", "time_modified": "2025-09-20 11:25:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Display the contents of 'archive_summary.txt' in the current working directory. Sort the contents alphabetically for easy review and analysis.", "when_to_use": "When sorting file contents alphabetically for review or analysis", "category": "success", "created_time": "2025-09-20 11:25:34", "modified_time": "2025-09-20 11:25:34", "generalized_query": "Sort the contents of a text file alphabetically for organized review", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "fe37dd287ecd4f519c2d5263ad30986e", "memory_type": "procedural", "when_to_use": "When searching for files or directories with specific names", "content": "Use case-insensitive and partial-name matching for file searches instead of exact matches. Combine 'find' with wildcards or simpler terms when exact names are uncertain.", "score": 0, "time_created": "2025-09-20 11:26:07", "time_modified": "2025-09-20 11:26:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Please cd into project folder and find Kelly's test report somewhere in the directory and read the content to me.", "when_to_use": "When searching for files or directories with specific names", "category": "failure", "created_time": "2025-09-20 11:26:07", "modified_time": "2025-09-20 11:26:07", "generalized_query": "Locate and retrieve a specific file within a directory structure", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "920c70d263184313aaeeccec0776bd4a", "memory_type": "procedural", "when_to_use": "When handling user communication history requests", "content": "Always use 'view_messages_sent' explicitly to access message history rather than relying on implicit state tracking. Verify authentication status before accessing message data.", "score": 0, "time_created": "2025-09-20 11:26:07", "time_modified": "2025-09-20 11:26:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate a list of all the communications I've sent until now.", "when_to_use": "When handling user communication history requests", "category": "failure", "created_time": "2025-09-20 11:26:07", "modified_time": "2025-09-20 11:26:07", "generalized_query": "Retrieve historical message records for a user", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "95008f787f634dcf85095605b0a739c8", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations such as starting the engine", "content": "Always verify and lock all doors before attempting to start the engine to prevent operational errors.", "score": 0, "time_created": "2025-09-20 11:26:21", "time_modified": "2025-09-20 11:26:21", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I would like to increase the amount of fuel in my car to completely full, but first I need to ascertain the present level to determine the appropriate amount to add.", "when_to_use": "When initiating vehicle operations such as starting the engine", "category": "failure", "created_time": "2025-09-20 11:26:21", "modified_time": "2025-09-20 11:26:21", "generalized_query": "Fill vehicle fuel tank and perform pre-engine-start checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "db4286e9f67f4e4eb6fe59272635a538", "memory_type": "procedural", "when_to_use": "When initiating vehicle operations requiring multiple preconditions (e.g., engine start, cruise control activation)", "content": "The higher-scoring approach systematically addressed dependencies (locked doors, pressed brake) before engine start, while the lower-scoring approach failed to resolve door lock state errors, preventing engine ignition. Proper error handling and sequential execution of safety-critical steps (locking doors → braking → engine start) enabled successful cruise control activation in the higher-scoring sequence.", "score": 0, "time_created": "2025-09-20 11:26:19", "time_modified": "2025-09-20 11:26:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "With every door now open, please proceed to fire up the engine; I need to ensure everything's in working order before hitting the road.", "when_to_use": "When initiating vehicle operations requiring multiple preconditions (e.g., engine start, cruise control activation)", "category": "comparative", "created_time": "2025-09-20 11:26:19", "modified_time": "2025-09-20 11:26:19", "generalized_query": "Initiate vehicle engine start and verify system readiness for operation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "839cc6a1b6794d2aa507621f88aca74c", "memory_type": "procedural", "when_to_use": "When handling vehicle-related tasks that require multiple preconditions (e.g., starting the engine, refueling, or navigation).", "content": "Always verify critical system states (e.g., locked doors, fuel level) before executing actions like engine startup to prevent procedural errors.", "score": 0, "time_created": "2025-09-20 11:26:27", "time_modified": "2025-09-20 11:26:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Turn on my vehicle's engine in 'START' mode.", "when_to_use": "When handling vehicle-related tasks that require multiple preconditions (e.g., starting the engine, refueling, or navigation).", "category": "failure", "created_time": "2025-09-20 11:26:27", "modified_time": "2025-09-20 11:26:27", "generalized_query": "Initiate vehicle engine startup after ensuring all safety prerequisites are met.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "51dc91124b534f39a165581c51b234f0", "memory_type": "procedural", "when_to_use": "When estimating travel feasibility based on vehicle specifications.", "content": "Ensure fuel efficiency data is accurate and account for real-world variables (e.g., terrain, driving conditions) when estimating range.", "score": 0, "time_created": "2025-09-20 11:26:27", "time_modified": "2025-09-20 11:26:27", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need that info to check if my vehicle can cover the distance without refueling.", "when_to_use": "When estimating travel feasibility based on vehicle specifications.", "category": "failure", "created_time": "2025-09-20 11:26:27", "modified_time": "2025-09-20 11:26:27", "generalized_query": "Assess vehicle capability to complete a trip based on fuel efficiency and tank capacity.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "cfa0a66049f64fad9a12b74a007994b7", "memory_type": "procedural", "when_to_use": "When handling file operations and ticket updates based on file metadata", "content": "Verify file existence before performing operations and ensure all relevant files are evaluated when applying conditional logic to tickets", "score": 0, "time_created": "2025-09-20 11:26:42", "time_modified": "2025-09-20 11:26:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Open up ticket 654321. If the character count of any file is greater than 20, Set the priority to 3. Else, set to 2.", "when_to_use": "When handling file operations and ticket updates based on file metadata", "category": "failure", "created_time": "2025-09-20 11:26:42", "modified_time": "2025-09-20 11:26:42", "generalized_query": "Update ticket priority based on file content metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "39570362a62546a29646fe25458cfa93", "memory_type": "procedural", "when_to_use": "When processing ambiguous file references in user queries", "content": "Confirm file existence and exact matching before assuming file names, especially when dealing with potentially ambiguous or non-standard naming conventions", "score": 0, "time_created": "2025-09-20 11:26:42", "time_modified": "2025-09-20 11:26:42", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What's the character count of the file all text file with test?", "when_to_use": "When processing ambiguous file references in user queries", "category": "failure", "created_time": "2025-09-20 11:26:42", "modified_time": "2025-09-20 11:26:42", "generalized_query": "Retrieve file statistics for a file with a descriptive name", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "82cb4e9c761a4af7b470088c47eedb4e", "memory_type": "procedural", "when_to_use": "When exploring directory structures and identifying files with specific patterns", "content": "The agent used 'ls' with the 'a' flag to ensure hidden files were included, then navigated into subdirectories using 'cd' to systematically locate files containing specific strings. This method ensures comprehensive file discovery without missing hidden or nested files.", "score": 0, "time_created": "2025-09-20 11:26:45", "time_modified": "2025-09-20 11:26:45", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "In my workspace folder, direct your attention to the initial directory we have access to and list out the files present including the hidden files. Should you stumble upon a directory named 'test', go into there, dive deep and identify any files with 'test' in their names using 'ls'.", "when_to_use": "When exploring directory structures and identifying files with specific patterns", "category": "success", "created_time": "2025-09-20 11:26:45", "modified_time": "2025-09-20 11:26:45", "generalized_query": "Search directories for files matching a pattern and analyze their contents", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "7a2ddd72d3984ef390992f9ffe654d42", "memory_type": "procedural", "when_to_use": "When estimating flight costs for a specific route, date, and class", "content": "Use the get_flight_cost tool with precise parameters (travel_from, travel_to, travel_date, travel_class) to retrieve accurate pricing data. This approach ensures direct alignment with user requirements and leverages system-specific APIs for real-time cost estimation.", "score": 0, "time_created": "2025-09-20 11:26:57", "time_modified": "2025-09-20 11:26:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you assist in estimating the airfare between ORD and SVP from the comprehensive list available through the system?", "when_to_use": "When estimating flight costs for a specific route, date, and class", "category": "success", "created_time": "2025-09-20 11:26:57", "modified_time": "2025-09-20 11:26:57", "generalized_query": "Estimate travel cost between two locations on a specific date and class", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "9727a59364f04834b9efa30559625bd1", "memory_type": "procedural", "when_to_use": "When establishing a budget limit for travel expenses", "content": "Call the set_budget_limit tool with the access_token and budget_limit parameter. This ensures secure, authorized budget configuration while maintaining alignment with financial constraints identified by the user.", "score": 0, "time_created": "2025-09-20 11:26:57", "time_modified": "2025-09-20 11:26:57", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you help establish a budget limit of 20,000 USD using my currently active account?", "when_to_use": "When establishing a budget limit for travel expenses", "category": "success", "created_time": "2025-09-20 11:26:57", "modified_time": "2025-09-20 11:26:57", "generalized_query": "Set a budget limit for travel expenditures", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "f2ee0b879b8647e8a7b43e72464904d5", "memory_type": "procedural", "when_to_use": "When booking flights or interacting with APIs that require specific parameter names", "content": "Always verify parameter names in API functions against actual implementation details, as tool descriptions may contain inaccuracies. Use functions like 'get_flight_cost' to dynamically retrieve cost values instead of hardcoding them.", "score": 0, "time_created": "2025-09-20 11:26:55", "time_modified": "2025-09-20 11:26:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Book me a business class ticket from SFO to LAX for December 15, 2024", "when_to_use": "When booking flights or interacting with APIs that require specific parameter names", "category": "failure", "created_time": "2025-09-20 11:26:55", "modified_time": "2025-09-20 11:26:55", "generalized_query": "Book a flight with specified parameters including cost, date, and route", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "cafa7d9c33c4418b86259c8fd4b6483a", "memory_type": "procedural", "when_to_use": "When sending messages to specific recipients in a workspace", "content": "Ensure recipient IDs are correctly formatted and exist in the system before sending messages. Validate message content length and format to avoid unexpected errors.", "score": 0, "time_created": "2025-09-20 11:26:55", "time_modified": "2025-09-20 11:26:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Inform my travel companion with user ID m0llyTr@vel2k24 about the itinerary", "when_to_use": "When sending messages to specific recipients in a workspace", "category": "failure", "created_time": "2025-09-20 11:26:55", "modified_time": "2025-09-20 11:26:55", "generalized_query": "Send a message to a user with a specific recipient ID", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "690be23798d94275bc3a4c768f691a9e", "memory_type": "procedural", "when_to_use": "When registering a credit card after successful authentication.", "content": "Call register_credit_card with the access_token from authentication, formatted card details (number, expiration, name), and CVV. Validate parameters match the function's required fields (e.g., cardholder_name as full name).", "score": 0, "time_created": "2025-09-20 11:27:00", "time_modified": "2025-09-20 11:27:00", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Register credit card with number 2345-6789-1234-5678, expiration 08/2025, and CVV 567 under Maxwell Edison.", "when_to_use": "When registering a credit card after successful authentication.", "category": "success", "created_time": "2025-09-20 11:27:00", "modified_time": "2025-09-20 11:27:00", "generalized_query": "Register a credit card with specified details using an access token.", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "e5b5b1df36884ccaa2a4ccd5500de47e", "memory_type": "procedural", "when_to_use": "When calculating distances between locations based on city names", "content": "Use get_zipcode_based_on_city to convert cities to zip codes, then call estimate_distance with the zip codes as parameters. This provides precise distance metrics for trip planning.", "score": 0, "time_created": "2025-09-20 11:26:53", "time_modified": "2025-09-20 11:26:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "How far apart are these places? I'd like to gauge the distance before setting off on this adventure.", "when_to_use": "When calculating distances between locations based on city names", "category": "success", "created_time": "2025-09-20 11:26:53", "modified_time": "2025-09-20 11:26:53", "generalized_query": "Determine the distance between two locations using city names", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "3e43ee8080e242b7a7330a3206b5d3eb", "memory_type": "procedural", "when_to_use": "When converting fuel measurements between units for vehicle management", "content": "Call displayCarStatus with 'fuel' option to get fuel level in gallons, then use gallon_to_liter conversion tool for unit standardization. This enables accurate fuel tracking across different measurement systems.", "score": 0, "time_created": "2025-09-20 11:26:53", "time_modified": "2025-09-20 11:26:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What's the current level of gasoline I have in liters?", "when_to_use": "When converting fuel measurements between units for vehicle management", "category": "success", "created_time": "2025-09-20 11:26:53", "modified_time": "2025-09-20 11:26:53", "generalized_query": "Convert vehicle fuel level from gallons to liters", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "f5d798bba835456aa5721160b45b8f2a", "memory_type": "procedural", "when_to_use": "When performing safety checks before engine startup", "content": "Implement sequential checks: lock all doors using lockDoors with unlock=false, press brake pedal with pedalPosition=1.0, and verify all systems before starting engine. This ensures compliance with vehicle safety requirements.", "score": 0, "time_created": "2025-09-20 11:26:53", "time_modified": "2025-09-20 11:26:53", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Engage the 'START' ignition mode to ready the vehicle", "when_to_use": "When performing safety checks before engine startup", "category": "success", "created_time": "2025-09-20 11:26:53", "modified_time": "2025-09-20 11:26:53", "generalized_query": "Execute pre-start vehicle safety protocols", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "05b16a709cd943f0bbaf61e67b2166ea", "memory_type": "procedural", "when_to_use": "When performing mathematical operations with specific precision requirements", "content": "Ensure parameter values align with mathematical definitions (e.g., base must be positive and not equal to 1). Verify unit consistency when using derived values from prior steps.", "score": 0, "time_created": "2025-09-20 11:26:56", "time_modified": "2025-09-20 11:26:56", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "the logarithm of the distance to the base the previous fuel value, computed to a precision of 10. Use base of 20", "when_to_use": "When performing mathematical operations with specific precision requirements", "category": "failure", "created_time": "2025-09-20 11:26:56", "modified_time": "2025-09-20 11:26:56", "generalized_query": "Calculating logarithm with specified base and precision", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "e334ef25bd454c2d83fbf463a50f786a", "memory_type": "procedural", "when_to_use": "When needing to retrieve specific file content details like last lines or compare files", "content": "Navigate to the target directory (cd), list files (ls) to identify the target file, then use tail to extract the last line. For file comparisons, use diff with the specific file names to highlight differences.", "score": 0, "time_created": "2025-09-20 11:27:20", "time_modified": "2025-09-20 11:27:20", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Display the last line of that file for me?", "when_to_use": "When needing to retrieve specific file content details like last lines or compare files", "category": "success", "created_time": "2025-09-20 11:27:20", "modified_time": "2025-09-20 11:27:20", "generalized_query": "Retrieve specific content from a file or compare files in a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "50ee9e1e296a442a98f6bb2ef15d6150", "memory_type": "procedural", "when_to_use": "When handling file system navigation and operations", "content": "Implement checks for empty directories and handle edge cases explicitly to prevent failed operations on non-existent files", "score": 0, "time_created": "2025-09-20 11:27:24", "time_modified": "2025-09-20 11:27:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "In documents directory, there's a file that piques my curiosity regarding its contents. It's alphabetically first file in that directory. Could you display the last line of that file for me?", "when_to_use": "When handling file system navigation and operations", "category": "failure", "created_time": "2025-09-20 11:27:24", "modified_time": "2025-09-20 11:27:24", "generalized_query": "Access files in directories while accounting for potential empty states", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "c8ea012b816d4ddd8f42917356624304", "memory_type": "procedural", "when_to_use": "When handling user requests to create support tickets involving sensitive information", "content": "Never include sensitive information like usernames/passwords in ticket descriptions. Always authenticate users separately before creating tickets to ensure security and compliance.", "score": 0, "time_created": "2025-09-20 11:27:32", "time_modified": "2025-09-20 11:27:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'd appreciate your help in initiating a priority level 3 support ticket labeled 'Urgent: Transaction Issue' with the description 'There is an issue with a recent transaction involving a canceled buy order for 100 shares of AAPL and I am requesting confirmation of the cancellation along with an account summary. My username is user123 and password is 12345 for the ticket login.", "when_to_use": "When handling user requests to create support tickets involving sensitive information", "category": "failure", "created_time": "2025-09-20 11:27:32", "modified_time": "2025-09-20 11:27:32", "generalized_query": "User attempts to create a support ticket with authentication credentials included in the description", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "00d817ff0d6d47e49fd42d78abe6f8c3", "memory_type": "procedural", "when_to_use": "When a user needs to retrieve their current stock watchlist", "content": "Directly call the 'get_watchlist' function without parameters to fetch the list of stocks in the user's watchlist. This provides an immediate and accurate view of the user's monitored assets without requiring additional context or steps.", "score": 0, "time_created": "2025-09-20 11:27:33", "time_modified": "2025-09-20 11:27:33", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "display the stocks I'm monitoring right now", "when_to_use": "When a user needs to retrieve their current stock watchlist", "category": "success", "created_time": "2025-09-20 11:27:33", "modified_time": "2025-09-20 11:27:33", "generalized_query": "Retrieve user's current watchlist of monitored stocks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d1a62fe69c1245d69d73ab6aca57ddc7", "memory_type": "procedural", "when_to_use": "When extracting numerical values from a CSV file for statistical calculations", "content": "Always validate the count of numerical values before performing calculations to avoid miscounting entries, especially when dealing with CSV files containing headers or non-numeric columns", "score": 0, "time_created": "2025-09-20 11:27:35", "time_modified": "2025-09-20 11:27:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you compute the average of the three numerical value obtained? Just for my personal use.", "when_to_use": "When extracting numerical values from a CSV file for statistical calculations", "category": "failure", "created_time": "2025-09-20 11:27:35", "modified_time": "2025-09-20 11:27:35", "generalized_query": "Calculate the average of numerical values from a dataset", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "bbd71485a86d40b2b8b61594b6fc15a0", "memory_type": "procedural", "when_to_use": "When a user requests to add a stock to their watchlist and retrieve detailed information about a specific stock", "content": "The successful sequence involved first using 'add_to_watchlist' to integrate the stock, followed by 'get_watchlist' to confirm the update. For detailed stock info, 'get_stock_info' was called with the specific symbol. This approach ensures immediate action on the user's request while verifying the operation's success before providing deeper insights.", "score": 0, "time_created": "2025-09-20 11:27:50", "time_modified": "2025-09-20 11:27:50", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you kindly integrate Apple's stock into my current watchlist and subsequently provide me with a detailed breakdown of the watchlist's contents?", "when_to_use": "When a user requests to add a stock to their watchlist and retrieve detailed information about a specific stock", "category": "success", "created_time": "2025-09-20 11:27:50", "modified_time": "2025-09-20 11:27:50", "generalized_query": "Add a stock to the watchlist and retrieve detailed information about a specific stock in the watchlist", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5d598693254f43af8460576a6af0d8fb", "memory_type": "procedural", "when_to_use": "When creating a new file with specific content, especially when the file may already exist", "content": "Use the echo tool to write content directly to a file, which handles both creation and overwriting. Verify file existence before writing to avoid errors, but allow the tool to handle file creation if it doesn't exist. This approach avoids redundant steps like manual file creation with touch.", "score": 0, "time_created": "2025-09-20 11:27:38", "time_modified": "2025-09-20 11:27:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I need you to draft a comprehensive guide for our new initiative, and let's name it 'Project_Guide_1.md'. Put 'Comprehensive guide for the new initiative.' in it.", "when_to_use": "When creating a new file with specific content, especially when the file may already exist", "category": "success", "created_time": "2025-09-20 11:27:38", "modified_time": "2025-09-20 11:27:38", "generalized_query": "Create a file with specific content and ensure it is properly initialized", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0a7b31166e6b416eadfd7623cf7c1e2f", "memory_type": "procedural", "when_to_use": "When needing human-readable disk usage information for a directory", "content": "Use the du tool with the human_readable parameter set to true. This provides an intuitive size representation (e.g., KB, MB) instead of raw bytes, making it easier to interpret storage usage at a glance.", "score": 0, "time_created": "2025-09-20 11:27:38", "time_modified": "2025-09-20 11:27:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I would love to get the human-readable disk usage of the current working directory.", "when_to_use": "When needing human-readable disk usage information for a directory", "category": "success", "created_time": "2025-09-20 11:27:38", "modified_time": "2025-09-20 11:27:38", "generalized_query": "Request human-readable disk usage for a directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "2903e8cca801490788de7550c7ecc4c8", "memory_type": "procedural", "when_to_use": "When resolving a ticket without requiring a resolution description", "content": "Use the resolve_ticket function with an empty string for the resolution parameter. This allows marking tickets as resolved efficiently when no additional details are needed, avoiding unnecessary input while maintaining system compliance.", "score": 0, "time_created": "2025-09-20 11:27:38", "time_modified": "2025-09-20 11:27:38", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "There's a minor snag in our ticketing system. Ticket #7423 is still unresolved, but with our recent brainstorming feedback, just go ahead and check it off as resolved. Leave it empty for resolve description.", "when_to_use": "When resolving a ticket without requiring a resolution description", "category": "success", "created_time": "2025-09-20 11:27:38", "modified_time": "2025-09-20 11:27:38", "generalized_query": "Mark a ticket as resolved without providing a resolution description", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "41b8c95c29a74e2f8688e5bd9f024d16", "memory_type": "procedural", "when_to_use": "When a user requests to modify their stock watchlist or manage orders, especially after initial setup", "content": "The agent successfully removed a stock from the watchlist by first retrieving the current watchlist (get_watchlist), then applying the removal action (remove_stock_from_watchlist). This pattern ensures accurate state awareness before modifying data. For order management, the agent retrieved stock details (get_stock_info) before placing an order (place_order), then verified details (get_order_details) before cancellation (cancel_order), demonstrating a reliable workflow for user-adjusted transactions.", "score": 0, "time_created": "2025-09-20 11:28:23", "time_modified": "2025-09-20 11:28:23", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Would you mind taking the first one off my watchlist?", "when_to_use": "When a user requests to modify their stock watchlist or manage orders, especially after initial setup", "category": "success", "created_time": "2025-09-20 11:28:23", "modified_time": "2025-09-20 11:28:23", "generalized_query": "User-initiated modification of a stock watchlist or order management", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "c26268bd288447e3887ec644144a55df", "memory_type": "procedural", "when_to_use": "When verifying market status before executing trades", "content": "The higher-scoring approach used the `update_market_status` function to programmatically verify market status, ensuring accuracy and reliability. The lower-scoring approach relied on manual time-based assumptions without validating through the system's API, creating potential gaps in market condition awareness.", "score": 0, "time_created": "2025-09-20 11:28:19", "time_modified": "2025-09-20 11:28:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Is the market open or closed given the time right now?", "when_to_use": "When verifying market status before executing trades", "category": "comparative", "created_time": "2025-09-20 11:28:19", "modified_time": "2025-09-20 11:28:19", "generalized_query": "Determine market status based on current time", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d47b1f15fdb54305b640a5cef0109cd6", "memory_type": "procedural", "when_to_use": "When confirming order details after placement", "content": "The higher-scoring approach explicitly called `get_order_details` to validate order parameters post-placement, ensuring alignment with user intent. The lower-scoring sequence omitted this step, risking discrepancies between user expectations and actual order configurations.", "score": 0, "time_created": "2025-09-20 11:28:19", "time_modified": "2025-09-20 11:28:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Fetching details of the placed order", "when_to_use": "When confirming order details after placement", "category": "comparative", "created_time": "2025-09-20 11:28:19", "modified_time": "2025-09-20 11:28:19", "generalized_query": "Retrieve and confirm order execution status", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "827425590da348dd9efd4e8716ef0b93", "memory_type": "procedural", "when_to_use": "When preparing a vehicle for a long trip involving engine start and safety checks", "content": "Always verify door lock status explicitly before attempting to start the engine, as tool responses may not reliably reflect real-time mechanical states", "score": 0, "time_created": "2025-09-20 11:28:24", "time_modified": "2025-09-20 11:28:24", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Ensure the fuel tank is replenished adequately by adding 38 liters of gasoline so that we're well-prepared for the lengthy voyage ahead. Only fill with integer amount for volume; round when not integer. Once fueled, proceed to start the engine confidently with the ignition mode, and make certain that all doors are secure, and the parking brake is engaged as a safety measure.", "when_to_use": "When preparing a vehicle for a long trip involving engine start and safety checks", "category": "failure", "created_time": "2025-09-20 11:28:24", "modified_time": "2025-09-20 11:28:24", "generalized_query": "Prepare a vehicle for a journey by refueling, securing doors, engaging parking brake, and starting the engine", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "8ea3e0d7fd5f4006861ba70573db539e", "memory_type": "procedural", "when_to_use": "When checking tire pressure and addressing underinflation issues", "content": "Systematically check all tire pressures and immediately address discrepancies to maintain safety. Proactively locate service centers for quick resolution of tire issues.", "score": 0, "time_created": "2025-09-20 11:28:35", "time_modified": "2025-09-20 11:28:35", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Confirm that each tire is inflated to a stable 32 PSI. Should any tires fall short, chart a course to the nearest tire service center.", "when_to_use": "When checking tire pressure and addressing underinflation issues", "category": "failure", "created_time": "2025-09-20 11:28:35", "modified_time": "2025-09-20 11:28:35", "generalized_query": "Check tire pressure and resolve underinflation by locating nearby service centers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b7a1bb6f09fb4e9c8b1f7822c781a9e5", "memory_type": "procedural", "when_to_use": "When creating or modifying files in a directory structure that requires prior existence of target folders", "content": "Always verify the target directory exists before attempting file operations that require it. Use 'mkdir' to create missing directories when necessary.", "score": 0, "time_created": "2025-09-20 11:28:49", "time_modified": "2025-09-20 11:28:49", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Replicate it into the archive folder, but rename it to 'summary_2024.txt'", "when_to_use": "When creating or modifying files in a directory structure that requires prior existence of target folders", "category": "failure", "created_time": "2025-09-20 11:28:49", "modified_time": "2025-09-20 11:28:49", "generalized_query": "Move/replicate a file to a target directory with a renamed version", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "a469aa7cf28447c58e19ba55f2f37c61", "memory_type": "procedural", "when_to_use": "When converting between liters and gallons for fuel-related tasks", "content": "Use the liter_to_gallon function for accurate unit conversion, then call fillFuelTank with the calculated gallon amount. Ensure the fuel amount does not exceed the tank capacity (50 gallons).", "score": 0, "time_created": "2025-09-20 11:28:40", "time_modified": "2025-09-20 11:28:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I am at the gas station and ready to fill up my car with gasoline. I would appreciate it if you could manage filling 30 liters into my vehicle to ensure it's properly fueled for the journey ahead. Use 2 decimal digit of the gallon amount", "when_to_use": "When converting between liters and gallons for fuel-related tasks", "category": "success", "created_time": "2025-09-20 11:28:40", "modified_time": "2025-09-20 11:28:40", "generalized_query": "Convert a specified volume of fuel from liters to gallons and fill the tank", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "c2a5eecfced7423db8b79cc009d5f6eb", "memory_type": "procedural", "when_to_use": "When initiating vehicle startup procedures", "content": "Implement sequential safety checks: lock all doors, press brake pedal, and verify system readiness before starting the engine. Address errors step-by-step (e.g., unlock doors → press brake → retry ignition).", "score": 0, "time_created": "2025-09-20 11:28:40", "time_modified": "2025-09-20 11:28:40", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "start the car engine in 'START' mode", "when_to_use": "When initiating vehicle startup procedures", "category": "success", "created_time": "2025-09-20 11:28:40", "modified_time": "2025-09-20 11:28:40", "generalized_query": "Start the vehicle engine with safety checks", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "109222fd1e4f46009f9b74ccda6b158c", "memory_type": "procedural", "when_to_use": "When a user requests to execute a trade order for a specific stock", "content": "The successful execution followed a structured pattern: 1) Retrieve stock details (price, market data) using get_stock_info, 2) Place the order with precise parameters (order_type, symbol, price, amount) via place_order, 3) Verify order status through get_order_details, and 4) Cancel the order using cancel_order when needed. This approach ensures accurate pricing, clear order tracking, and immediate status updates.", "score": 0, "time_created": "2025-09-20 11:29:02", "time_modified": "2025-09-20 11:29:02", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange the acquisition of 150 Microsoft shares at the going market rate.", "when_to_use": "When a user requests to execute a trade order for a specific stock", "category": "success", "created_time": "2025-09-20 11:29:02", "modified_time": "2025-09-20 11:29:02", "generalized_query": "Execute a trade order for a specific stock quantity at current market price", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "f04e71c57e5c4ab39b2a2aed0e718131", "memory_type": "procedural", "when_to_use": "When providing order status updates to users", "content": "Implement automated status checks for orders to ensure users receive accurate and timely updates", "score": 0, "time_created": "2025-09-20 11:29:07", "time_modified": "2025-09-20 11:29:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Retrieve details of the placed order to confirm its status", "when_to_use": "When providing order status updates to users", "category": "failure", "created_time": "2025-09-20 11:29:07", "modified_time": "2025-09-20 11:29:07", "generalized_query": "Obtain real-time status of an active order", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "e8629c83dd9a46eabd075b6b62500ef4", "memory_type": "procedural", "when_to_use": "When determining market status, especially for time-sensitive trading decisions", "content": "First retrieve the current time with get_current_time, then use update_market_status with the time string to establish market status. This ensures accurate timing-based market state determination.", "score": 0, "time_created": "2025-09-20 11:29:07", "time_modified": "2025-09-20 11:29:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Update the market status for me, as I need to know the current outlook.", "when_to_use": "When determining market status, especially for time-sensitive trading decisions", "category": "success", "created_time": "2025-09-20 11:29:07", "modified_time": "2025-09-20 11:29:07", "generalized_query": "Determine market status using current time data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "59eadbebc514403ebe8af264a4a38ed2", "memory_type": "procedural", "when_to_use": "When calculating aggregated metrics from multiple financial indicators", "content": "Use the mean function with an array containing price, volume, and moving averages. This provides a concise summary of key metrics for trend analysis and decision-making.", "score": 0, "time_created": "2025-09-20 11:29:07", "time_modified": "2025-09-20 11:29:07", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Calculate the average of price, trading volume, MA5, and MA20.", "when_to_use": "When calculating aggregated metrics from multiple financial indicators", "category": "success", "created_time": "2025-09-20 11:29:07", "modified_time": "2025-09-20 11:29:07", "generalized_query": "Compute the mean of numerical financial metrics", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "58e509d2954d4d9a952f1fa99348b80b", "memory_type": "procedural", "when_to_use": "When a user requests to manage their stock watchlist or execute a trade", "content": "Use get_watchlist to retrieve the current watchlist, then apply remove_stock_from_watchlist for deletions. For trades, combine get_stock_info (to validate price) with place_order (to execute the transaction) while ensuring proper order parameters (type, symbol, price, amount).", "score": 0, "time_created": "2025-09-20 11:29:19", "time_modified": "2025-09-20 11:29:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you help me by identifying the stocks currently present on my watchlist?", "when_to_use": "When a user requests to manage their stock watchlist or execute a trade", "category": "success", "created_time": "2025-09-20 11:29:19", "modified_time": "2025-09-20 11:29:19", "generalized_query": "Retrieve and modify a user's stock watchlist or execute a trade", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "ab4756184db24deab9c0055626f330dc", "memory_type": "procedural", "when_to_use": "When confirming the status of a recent transaction", "content": "Call get_order_details with the specific order ID to provide accurate, real-time updates. This builds trust by offering transparency and actionable insights into the transaction lifecycle.", "score": 0, "time_created": "2025-09-20 11:29:19", "time_modified": "2025-09-20 11:29:19", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Would you be able to show me the details of my most recent order?", "when_to_use": "When confirming the status of a recent transaction", "category": "success", "created_time": "2025-09-20 11:29:19", "modified_time": "2025-09-20 11:29:19", "generalized_query": "Retrieve order details by order ID", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b47a2718b8d641b1872cdaffc72095ae", "memory_type": "procedural", "when_to_use": "When handling travel-related transactions requiring booking IDs or credit cards", "content": "Always validate the existence and validity of critical identifiers (booking IDs, credit card details) before executing financial transactions to prevent system errors and failed operations", "score": 0, "time_created": "2025-09-20 11:29:36", "time_modified": "2025-09-20 11:29:36", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm eager to use this card to purchase comprehensive travel insurance for an upcoming journey...", "when_to_use": "When handling travel-related transactions requiring booking IDs or credit cards", "category": "failure", "created_time": "2025-09-20 11:29:36", "modified_time": "2025-09-20 11:29:36", "generalized_query": "Initiate a travel insurance purchase using a credit card and booking reference", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d47cf9589d554686b08e30a0e9ee19c0", "memory_type": "procedural", "when_to_use": "When needing to compare file versions and share insights via social media", "content": "Successfully combined file comparison (using diff) with social media outreach (Twitter post). Key steps: 1) Authenticate Twitter account 2) Create tweet with content, mentions (@colleagues), and hashtags (#ProjectInsight) 3) Post tweet. This approach ensures clear communication of findings while leveraging social media for visibility.", "score": 0, "time_created": "2025-09-20 11:29:29", "time_modified": "2025-09-20 11:29:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Toss a tweet out there about this comparative analysis, mentions @colleagues, and throw in #ProjectInsight to amplify its reach. Here is the post content: Just completed a comparative analysis between the latest and previous project data. Some insightful findings! My username is tech_guru and password is securePass123.", "when_to_use": "When needing to compare file versions and share insights via social media", "category": "success", "created_time": "2025-09-20 11:29:29", "modified_time": "2025-09-20 11:29:29", "generalized_query": "Share comparative analysis results with team members using social media with specific mentions and hashtags", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "74c020a91965457284258cb5de185801", "memory_type": "procedural", "when_to_use": "When managing file versions and archives", "content": "Effectively used 'cp' command to copy files to a target directory. Preemptively checked directory existence with 'mkdir' (even though it failed due to existing directory), demonstrating awareness of potential errors. This pattern ensures version control while avoiding accidental overwrites.", "score": 0, "time_created": "2025-09-20 11:29:29", "time_modified": "2025-09-20 11:29:29", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you whip up a duplicate of 'project_analysis.txt' and shift it over to this folder I've named 'project_archive'?", "when_to_use": "When managing file versions and archives", "category": "success", "created_time": "2025-09-20 11:29:29", "modified_time": "2025-09-20 11:29:29", "generalized_query": "Create a duplicate file and move it to an archive directory", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "9eee335e82854093b93d3ab81d52cc3e", "memory_type": "procedural", "when_to_use": "When handling user authentication and social media interactions", "content": "Validate authentication credentials before executing social media actions to prevent failed operations", "score": 0, "time_created": "2025-09-20 11:29:32", "time_modified": "2025-09-20 11:29:32", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Toss a tweet out there about this comparative analysis, mentions @colleagues, and throw in #ProjectInsight", "when_to_use": "When handling user authentication and social media interactions", "category": "failure", "created_time": "2025-09-20 11:29:32", "modified_time": "2025-09-20 11:29:32", "generalized_query": "Post a tweet with mentions and hashtags", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5a52d5a789804c249ec7d0d790a62cdb", "memory_type": "procedural", "when_to_use": "When performing file comparisons or operations where filenames are not immediately known", "content": "Always validate filenames from prior discovery steps before performing operations; use exact filenames obtained from search tools rather than assuming base names", "score": 0, "time_created": "2025-09-20 11:29:47", "time_modified": "2025-09-20 11:29:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Look for draft and final report in my current directory. Compare the content difference of both.", "when_to_use": "When performing file comparisons or operations where filenames are not immediately known", "category": "failure", "created_time": "2025-09-20 11:29:47", "modified_time": "2025-09-20 11:29:47", "generalized_query": "Compare two files in the current directory by identifying their exact names and content differences", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6c9e0322d64c4bb0b2354d0cdebf051c", "memory_type": "procedural", "when_to_use": "When resolving tickets with custom resolution summaries", "content": "Verify ticket existence and current status before resolving; ensure resolution summaries are concise and actionable", "score": 0, "time_created": "2025-09-20 11:29:47", "time_modified": "2025-09-20 11:29:47", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Resolve ticket 987654 with summary: 'Fixed through manual troubleshooting techniques.'", "when_to_use": "When resolving tickets with custom resolution summaries", "category": "failure", "created_time": "2025-09-20 11:29:47", "modified_time": "2025-09-20 11:29:47", "generalized_query": "Update a ticket status and provide a resolution summary", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "ae27a167dc044aca9e338aee75754d60", "memory_type": "procedural", "when_to_use": "When initiating social media actions like posting tweets", "content": "Always verify Twitter authentication status before attempting to post tweets to avoid failed operations due to unauthenticated sessions", "score": 0, "time_created": "2025-09-20 11:29:55", "time_modified": "2025-09-20 11:29:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Post a tweet: 'Ensuring my wheels are well-maintained. Maintenance is key to success!' with the hashtag 'BusinessOnTheMove'", "when_to_use": "When initiating social media actions like posting tweets", "category": "failure", "created_time": "2025-09-20 11:29:55", "modified_time": "2025-09-20 11:29:55", "generalized_query": "Post a status update with specific content and hashtags on a social media platform", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "879b335e2e9046cebb99c3de4d78195b", "memory_type": "procedural", "when_to_use": "When handling vehicle maintenance tasks", "content": "Cross-verify sensor readings with actionable thresholds and ensure location-based services are functional before recommending physical interventions", "score": 0, "time_created": "2025-09-20 11:29:55", "time_modified": "2025-09-20 11:29:55", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Verify tire pressure and locate nearest tire shop", "when_to_use": "When handling vehicle maintenance tasks", "category": "failure", "created_time": "2025-09-20 11:29:55", "modified_time": "2025-09-20 11:29:55", "generalized_query": "Check vehicle safety metrics and locate service providers", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "799e6732195445c6931de65e6e6d3f14", "memory_type": "procedural", "when_to_use": "When a user requests to place a trade order with specific stock and quantity, followed by order modification or cancellation", "content": "The successful sequence involved first retrieving account information to confirm balance, then fetching real-time stock data for price validation, and finally placing the order while proactively notifying of insufficient funds. Key steps included: 1) Using get_account_info for balance verification, 2) Checking stock price via get_stock_info before ordering, 3) Placing the order with place_order while including price and quantity parameters, 4) Managing order status through get_order_details and cancel_order when needed. The workflow ensured transparency about account limitations and maintained control over order lifecycle management.", "score": 0, "time_created": "2025-09-20 11:30:04", "time_modified": "2025-09-20 11:30:04", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "I'm reviewing my account, and I'd like you to confirm the current balance and provide the account details. Subsequently, initiate a purchase order for 150 shares of TSLA at the prevailing market price leveraging my account balance.", "when_to_use": "When a user requests to place a trade order with specific stock and quantity, followed by order modification or cancellation", "category": "success", "created_time": "2025-09-20 11:30:04", "modified_time": "2025-09-20 11:30:04", "generalized_query": "Verify account balance and execute a trade order with subsequent order management (modification/cancellation)", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "26339f9669d249929ed1961db5667c6c", "memory_type": "procedural", "when_to_use": "When booking flights with pre-linked payment methods and requiring invoice retrieval", "content": "Successfully booked a flight by first obtaining airport codes via location lookup, using flight cost estimation to validate pricing, and executing the booking with correct API parameters. Post-booking, retrieved the invoice using the booking ID. Key to success was iterative parameter adjustment based on API error feedback and maintaining authentication state for subsequent actions.", "score": 0, "time_created": "2025-09-20 11:30:03", "time_modified": "2025-09-20 11:30:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Arrange this flight using my pre-linked credit card with id 'card_123456789' and access token 'abc123xyz'", "when_to_use": "When booking flights with pre-linked payment methods and requiring invoice retrieval", "category": "success", "created_time": "2025-09-20 11:30:03", "modified_time": "2025-09-20 11:30:03", "generalized_query": "Book a flight with specified payment method and retrieve booking confirmation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "fcb8d36dc0cb465d9aeb42150c5ea5da", "memory_type": "procedural", "when_to_use": "When resolving booking errors and communicating with stakeholders", "content": "Effectively resolved booking errors by first attempting parameter correction, then escalating via customer support with precise error details. Success relied on systematic error diagnosis and clear communication of technical issues (e.g., parameter mismatches) to support teams.", "score": 0, "time_created": "2025-09-20 11:30:03", "time_modified": "2025-09-20 11:30:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Reach out to customer support and detail the challenges I faced", "when_to_use": "When resolving booking errors and communicating with stakeholders", "category": "success", "created_time": "2025-09-20 11:30:03", "modified_time": "2025-09-20 11:30:03", "generalized_query": "Resolve booking anomalies through customer support escalation", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5b6ad6f974d241668bf99da5ea648200", "memory_type": "procedural", "when_to_use": "When synchronizing travel updates across teams", "content": "Established secure messaging by first authenticating as the sender, then leveraging the Message API to deliver targeted updates. Success depended on maintaining proper authentication context and using precise recipient identifiers for reliable communication.", "score": 0, "time_created": "2025-09-20 11:30:03", "time_modified": "2025-09-20 11:30:03", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Brief my colleague Catherine (id='USR003') on the situation using my sender id 'MichaelTpss'", "when_to_use": "When synchronizing travel updates across teams", "category": "success", "created_time": "2025-09-20 11:30:03", "modified_time": "2025-09-20 11:30:03", "generalized_query": "Notify stakeholders about travel status changes", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0b280570e3ca4ef6b9b0d05e90a970e1", "memory_type": "procedural", "when_to_use": "When writing files with specific content requirements", "content": "Always verify file creation location and content validity after writing. Use 'pwd' to confirm current directory and 'ls' to check file existence before proceeding with dependent tasks.", "score": 0, "time_created": "2025-09-20 11:30:34", "time_modified": "2025-09-20 11:30:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you populate 'annual_report.txt' with data on quarterly revenue: 'Q1: $5000, Q2: $7000, Q3: $6000, Q4: $8000'? I only want to store the quoted text in my file. The file is somewhere inside the file system.", "when_to_use": "When writing files with specific content requirements", "category": "failure", "created_time": "2025-09-20 11:30:34", "modified_time": "2025-09-20 11:30:34", "generalized_query": "Write specific text content to a file while ensuring the file's location meets user expectations", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6deac918258c4f46bebadeeef5c8a678", "memory_type": "procedural", "when_to_use": "When processing numerical data from text files", "content": "Extract numerical values programmatically rather than manually to avoid errors from inconsistent formatting or typos in the source text.", "score": 0, "time_created": "2025-09-20 11:30:34", "time_modified": "2025-09-20 11:30:34", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "What's the mean of the quarterly revenue?", "when_to_use": "When processing numerical data from text files", "category": "failure", "created_time": "2025-09-20 11:30:34", "modified_time": "2025-09-20 11:30:34", "generalized_query": "Calculate the mean of numerical values extracted from textual data", "utility": 0, "freq": 0}}
|
||||
{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d706ee5451364c3eb246dde5a9622139", "memory_type": "procedural", "when_to_use": "Before initiating a road trip to ensure vehicle readiness", "content": "Use incremental fueling with status checks to avoid overfilling. Start with displayCarStatus(\"fuel\") to assess current levels, then use fillFuelTank() with calculated amounts based on tank capacity and current level.", "score": 0, "time_created": "2025-09-20 11:30:31", "time_modified": "2025-09-20 11:30:31", "author": "qwen3-8b", "metadata": {"author": "qwen3-8b", "task_query": "Could you make sure to increase the current fuel level to ensure that my tank is full?", "when_to_use": "Before initiating a road trip to ensure vehicle readiness", "category": "success", "created_time": "2025-09-20 11:30:31", "modified_time": "2025-09-20 11:30:31", "generalized_query": "Verify and optimize vehicle fuel level for long-distance travel", "utility": 0, "freq": 0}}
|
||||
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File diff suppressed because it is too large
Load diff
|
|
@ -1,42 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Use Library
|
||||
|
||||
ReMe provides pre-built memory libraries that agents can immediately use with verified best practices:
|
||||
|
||||
### Available Libraries
|
||||
|
||||
- **`appworld.jsonl`**: Memory library for Appworld agent interactions, covering complex task planning and execution
|
||||
patterns
|
||||
- **`bfcl_v3.jsonl`**: Working memory library for BFCL tool calls
|
||||
|
||||
### Quick Usage
|
||||
|
||||
Load pre-built memories:
|
||||
|
||||
```{code-cell}
|
||||
response = requests.post("http://localhost:8002/vector_store", json={
|
||||
"workspace_id": "appworld",
|
||||
"action": "load",
|
||||
"path": "./docs/library/"
|
||||
})
|
||||
|
||||
# Query relevant memories
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "appworld",
|
||||
"query": "How to navigate to settings and update user profile?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
|
|
@ -1,19 +0,0 @@
|
|||
```shell
|
||||
ffmpeg -i /Users/yuli/Desktop/remecli_en.mov \
|
||||
-vf "scale=-2:1080,setpts=0.333*PTS" \
|
||||
-c:v libx264 \
|
||||
-crf 28 \
|
||||
-preset fast \
|
||||
-c:a aac \
|
||||
-b:a 96k \
|
||||
/Users/yuli/Desktop/remecli_en_1080p_3x.mp4
|
||||
|
||||
ffmpeg -i /Users/yuli/Desktop/remecli_zh.mov \
|
||||
-vf "scale=-2:1080,setpts=0.333*PTS" \
|
||||
-c:v libx264 \
|
||||
-crf 28 \
|
||||
-preset fast \
|
||||
-c:a aac \
|
||||
-b:a 96k \
|
||||
/Users/yuli/Desktop/remecli_zh_1080p_3x.mp4
|
||||
```
|
||||
|
|
@ -1,424 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# MCP Quick Start Guide
|
||||
|
||||
This guide will help you get started with ReMe using the Model Context Protocol (MCP) interface for seamless
|
||||
integration with MCP-compatible clients.
|
||||
|
||||
## 🚀 What You'll Learn
|
||||
|
||||
- How to set up and configure ReMe MCP server
|
||||
- How to connect to the server using Python MCP clients
|
||||
- How to use task memory operations through MCP
|
||||
- How to build memory-enhanced agents with MCP integration
|
||||
|
||||
## 📋 Prerequisites
|
||||
|
||||
- Python 3.12+
|
||||
- LLM API access (OpenAI or compatible)
|
||||
- Embedding model API access
|
||||
- MCP-compatible client (Claude Desktop, or custom MCP client)
|
||||
|
||||
## 🛠️ Installation
|
||||
|
||||
### Option 1: Install from PyPI (Recommended)
|
||||
|
||||
```bash
|
||||
pip install reme-ai
|
||||
```
|
||||
|
||||
### Option 2: Install from Source
|
||||
|
||||
```bash
|
||||
git clone https://github.com/agentscope-ai/ReMe.git
|
||||
cd ReMe
|
||||
pip install .
|
||||
```
|
||||
|
||||
## ⚙️ Environment Setup
|
||||
|
||||
Create a `.env` file in your project directory:
|
||||
|
||||
```{code-cell}
|
||||
FLOW_EMBEDDING_API_KEY=sk-xxxx
|
||||
|
||||
|
||||
FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
|
||||
|
||||
FLOW_LLM_API_KEY=sk-xxxx
|
||||
FLOW_LLM_BASE_URL=https://xxxx/v1
|
||||
```
|
||||
|
||||
## 🚀 Building an MCP Server with ReMe
|
||||
|
||||
ReMe provides a flexible framework for building MCP servers that can communicate using either STDIO or SSE (Server-Sent
|
||||
Events) transport protocols.
|
||||
|
||||
### Starting the MCP Server
|
||||
|
||||
#### Option 1: STDIO Transport (Recommended for MCP clients)
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=stdio \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
#### Option 2: SSE Transport (Server-Sent Events)
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=sse \
|
||||
http_service.port=8001 \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
The SSE server will start on `http://localhost:8002/sse`
|
||||
|
||||
### Configuring MCP Server for Claude Desktop
|
||||
|
||||
To integrate with Claude Desktop, add the following configuration to your `claude_desktop_config.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"reme": {
|
||||
"command": "reme",
|
||||
"args": [
|
||||
"backend=mcp",
|
||||
"mcp.transport=stdio",
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=local_file"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
This configuration:
|
||||
|
||||
1. Registers a new MCP server named "reme"
|
||||
2. Specifies the command to launch the server (`reme`)
|
||||
3. Configures the server to use STDIO transport
|
||||
4. Sets the LLM and embedding models to use
|
||||
5. Configures the vector store backend
|
||||
|
||||
### Advanced Server Configuration Options
|
||||
|
||||
For more advanced use cases, you can configure the server with additional parameters:
|
||||
|
||||
```bash
|
||||
# Full configuration example
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=stdio \
|
||||
http_service.host=0.0.0.0 \
|
||||
http_service.port=8002 \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=elasticsearch \
|
||||
```
|
||||
|
||||
## 🔌 Using Python Client to Call MCP Services
|
||||
|
||||
The ReMe framework provides a Python client for interacting with MCP services. This section focuses specifically on
|
||||
using the `summary_task_memory` and `retrieve_task_memory` tools.
|
||||
|
||||
### Setting Up the Python MCP Client
|
||||
|
||||
First, install the required packages:
|
||||
|
||||
```bash
|
||||
pip install fastmcp dotenv
|
||||
```
|
||||
|
||||
Then, create a basic client connection:
|
||||
|
||||
```{code-cell}
|
||||
import asyncio
|
||||
from fastmcp import Client
|
||||
from dotenv import load_dotenv
|
||||
|
||||
# Load environment variables
|
||||
load_dotenv()
|
||||
|
||||
# MCP server URL (for SSE transport)
|
||||
MCP_URL = "http://0.0.0.0:8002/sse/"
|
||||
WORKSPACE_ID = "my_workspace"
|
||||
|
||||
|
||||
async def main():
|
||||
async with Client(MCP_URL) as client:
|
||||
# Your MCP operations will go here
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
### Using the Task Memory Summarizer
|
||||
|
||||
The `summary_task_memory` tool transforms conversation trajectories into valuable task memories:
|
||||
|
||||
```{code-cell}
|
||||
async def run_summary(client, messages):
|
||||
"""
|
||||
Generate a summary of conversation messages and create task memories
|
||||
|
||||
Args:
|
||||
client: MCP client instance
|
||||
messages: List of message objects from a conversation
|
||||
|
||||
Returns:
|
||||
None
|
||||
"""
|
||||
try:
|
||||
result = await client.call_tool(
|
||||
"summary_task_memory",
|
||||
arguments={
|
||||
"workspace_id": "my_workspace",
|
||||
"trajectories": [
|
||||
{"messages": messages, "score": 1.0}
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
# Parse the response
|
||||
import json
|
||||
response_data = json.loads(result.content)
|
||||
|
||||
# Extract memory list from response
|
||||
memory_list = response_data.get("metadata", {}).get("memory_list", [])
|
||||
print(f"Created memories: {memory_list}")
|
||||
|
||||
# Optionally save memories to file
|
||||
with open("task_memory.jsonl", "w") as f:
|
||||
f.write(json.dumps(memory_list, indent=2, ensure_ascii=False))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error running summary: {e}")
|
||||
```
|
||||
|
||||
### Using the Task Memory Retriever
|
||||
|
||||
The `retrieve_task_memory` tool allows you to retrieve relevant memories based on a query:
|
||||
|
||||
```{code-cell}
|
||||
async def run_retrieve(client, query):
|
||||
"""
|
||||
Retrieve relevant task memories based on a query
|
||||
|
||||
Args:
|
||||
client: MCP client instance
|
||||
query: The query to retrieve relevant memories
|
||||
|
||||
Returns:
|
||||
String containing the retrieved memory answer
|
||||
"""
|
||||
try:
|
||||
result = await client.call_tool(
|
||||
"retrieve_task_memory",
|
||||
arguments={
|
||||
"workspace_id": "my_workspace",
|
||||
"query": query,
|
||||
}
|
||||
)
|
||||
|
||||
# Parse the response
|
||||
import json
|
||||
response_data = json.loads(result.content)
|
||||
|
||||
# Extract and return the answer
|
||||
answer = response_data.get("answer", "")
|
||||
print(f"Retrieved memory: {answer}")
|
||||
return answer
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error retrieving memory: {e}")
|
||||
return ""
|
||||
```
|
||||
|
||||
### Complete Memory-Augmented Agent Example
|
||||
|
||||
Here's a complete example showing how to build a memory-augmented agent using the MCP client:
|
||||
|
||||
```{code-cell}
|
||||
import json
|
||||
import asyncio
|
||||
from fastmcp import Client
|
||||
from dotenv import load_dotenv
|
||||
|
||||
# Load environment variables
|
||||
load_dotenv()
|
||||
|
||||
# API configuration
|
||||
MCP_URL = "http://0.0.0.0:8002/sse/"
|
||||
WORKSPACE_ID = "test_workspace"
|
||||
|
||||
|
||||
async def run_agent(client, query):
|
||||
"""Run the agent with a specific query"""
|
||||
result = await client.call_tool(
|
||||
"react",
|
||||
arguments={"query": query}
|
||||
)
|
||||
|
||||
response_data = json.loads(result.content)
|
||||
answer = response_data.get("answer", "")
|
||||
messages = response_data.get("messages", [])
|
||||
|
||||
return messages
|
||||
|
||||
|
||||
async def run_summary(client, messages):
|
||||
"""Generate task memories from conversation"""
|
||||
result = await client.call_tool(
|
||||
"summary_task_memory",
|
||||
arguments={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"trajectories": [
|
||||
{"messages": messages, "score": 1.0}
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
response_data = json.loads(result.content)
|
||||
memory_list = response_data.get("metadata", {}).get("memory_list", [])
|
||||
|
||||
return memory_list
|
||||
|
||||
|
||||
async def run_retrieve(client, query):
|
||||
"""Retrieve relevant task memories"""
|
||||
result = await client.call_tool(
|
||||
"retrieve_task_memory",
|
||||
arguments={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"query": query,
|
||||
}
|
||||
)
|
||||
|
||||
response_data = json.loads(result.content)
|
||||
answer = response_data.get("answer", "")
|
||||
|
||||
return answer
|
||||
|
||||
|
||||
async def memory_augmented_workflow():
|
||||
"""Complete memory-augmented agent workflow"""
|
||||
query1 = "Analyze Xiaomi Corporation"
|
||||
query2 = "Analyze the company Tesla."
|
||||
|
||||
async with Client(MCP_URL) as client:
|
||||
# Step 1: Build initial memories with query2
|
||||
print(f"Building memories with: '{query2}'")
|
||||
messages = await run_agent(client, query=query2)
|
||||
|
||||
# Step 2: Summarize conversation to create memories
|
||||
print("Creating memories from conversation")
|
||||
memory_list = await run_summary(client, messages)
|
||||
print(f"Created {len(memory_list)} memories")
|
||||
|
||||
# Step 3: Retrieve relevant memories for query1
|
||||
print(f"Retrieving memories for: '{query1}'")
|
||||
retrieved_memory = await run_retrieve(client, query1)
|
||||
|
||||
# Step 4: Run agent with memory-augmented query
|
||||
print("Running memory-augmented agent")
|
||||
augmented_query = f"{retrieved_memory}\n\nUser Question:\n{query1}"
|
||||
final_messages = await run_agent(client, query=augmented_query)
|
||||
|
||||
# Extract the agent's final answer
|
||||
final_answer = ""
|
||||
for msg in final_messages:
|
||||
if msg.get("role") == "assistant" and msg.get("content"):
|
||||
final_answer = msg.get("content")
|
||||
break
|
||||
|
||||
print(f"Memory-augmented response: {final_answer}")
|
||||
|
||||
|
||||
# Run the workflow
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(memory_augmented_workflow())
|
||||
```
|
||||
|
||||
### Managing Vector Store with MCP
|
||||
|
||||
You can also manage your vector store through MCP:
|
||||
|
||||
```{code-cell}
|
||||
async def manage_vector_store(client):
|
||||
# Delete a workspace
|
||||
await client.call_tool(
|
||||
"vector_store",
|
||||
arguments={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "delete",
|
||||
}
|
||||
)
|
||||
|
||||
# Dump memories to disk
|
||||
await client.call_tool(
|
||||
"vector_store",
|
||||
arguments={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "dump",
|
||||
"path": "./backups/",
|
||||
}
|
||||
)
|
||||
|
||||
# Load memories from disk
|
||||
await client.call_tool(
|
||||
"vector_store",
|
||||
arguments={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "load",
|
||||
"path": "./backups/",
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
## 🐛 Common Issues and Troubleshooting
|
||||
|
||||
### MCP Server Won't Start
|
||||
- Check if the required ports are available (for SSE transport)
|
||||
- Verify your API keys in `.env` file
|
||||
- Ensure Python version is 3.12+
|
||||
- Check MCP transport configuration
|
||||
|
||||
### MCP Client Connection Issues
|
||||
- For STDIO: Ensure the command path is correct in your MCP client config
|
||||
- For SSE: Verify the server URL and port accessibility
|
||||
- Check firewall settings for SSE connections
|
||||
|
||||
### No Memories Retrieved
|
||||
|
||||
- Make sure you've run the summarizer tool first to create memories
|
||||
- Check if workspace_id matches between operations
|
||||
- Verify vector store backend is properly configured
|
||||
|
||||
### API Connection Errors
|
||||
- Confirm LLM_BASE_URL and API keys are correct
|
||||
- Test API access independently
|
||||
- Check network connectivity
|
||||
|
|
@ -1,137 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
|
||||
# Personal Memory
|
||||
|
||||
## Configuration Logic
|
||||
|
||||
ReMe's personal memory system consists of two main components: retrieval and summarization. The configuration for these components is defined in the default.yaml file.
|
||||
|
||||
### Retrieval Configuration (`retrieve_personal_memory`)
|
||||
|
||||
```yaml
|
||||
retrieve_personal_memory:
|
||||
flow_content: set_query_op >> (extract_time_op | (retrieve_memory_op >> semantic_rank_op)) >> fuse_rerank_op
|
||||
```
|
||||
|
||||
This flow performs the following operations:
|
||||
1. `set_query_op`: Prepares the query for memory retrieval
|
||||
2. Parallel paths:
|
||||
- `extract_time_op`: Extracts time-related information from the query
|
||||
- `retrieve_memory_op >> semantic_rank_op`: Retrieves memories and ranks them semantically
|
||||
3. `fuse_rerank_op`: Combines and reranks the results for final output
|
||||
|
||||
### Summarization Configuration (`summary_personal_memory`)
|
||||
|
||||
```yaml
|
||||
summary_personal_memory:
|
||||
flow_content: info_filter_op >> (get_observation_op | get_observation_with_time_op | load_today_memory_op) >> contra_repeat_op >> update_vector_store_op
|
||||
```
|
||||
|
||||
This flow performs the following operations:
|
||||
1. `info_filter_op`: Filters incoming information to extract relevant personal details
|
||||
2. Parallel paths for observation extraction:
|
||||
- `get_observation_op`: Extracts general observations
|
||||
- `get_observation_with_time_op`: Extracts observations with time context
|
||||
- `load_today_memory_op`: Loads memories from the current day
|
||||
3. `contra_repeat_op`: Removes contradictions and repetitions
|
||||
4. `update_vector_store_op`: Stores the processed memories in the vector database
|
||||
|
||||
## Basic Usage
|
||||
|
||||
The following example demonstrates how to use personal memory in MemoryScope:
|
||||
|
||||
**1. Setup**
|
||||
|
||||
```{code-cell}
|
||||
import asyncio
|
||||
import json
|
||||
import aiohttp
|
||||
|
||||
# API base URL (default is http://0.0.0.0:8002)
|
||||
base_url = "http://0.0.0.0:8002"
|
||||
workspace_id = "personal_memory_demo"
|
||||
```
|
||||
|
||||
**2. Clear Existing Memories**
|
||||
|
||||
```{code-cell}
|
||||
async with aiohttp.ClientSession() as session:
|
||||
# Delete existing workspace memories
|
||||
async with session.post(
|
||||
f"{base_url}/vector_store",
|
||||
json={
|
||||
"action": "delete",
|
||||
"workspace_id": workspace_id,
|
||||
},
|
||||
headers={"Content-Type": "application/json"}
|
||||
) as response:
|
||||
result = await response.json()
|
||||
```
|
||||
|
||||
**3. Create Conversation with Personal Information**
|
||||
|
||||
```{code-cell}
|
||||
# Example conversation with personal details
|
||||
messages = [
|
||||
{"role": "user", "content": "My name is John Smith, I'm 28 years old"},
|
||||
{"role": "assistant", "content": "Nice to meet you, John!"},
|
||||
{"role": "user", "content": "I'm a software engineer working with Python"},
|
||||
{"role": "assistant", "content": "I see, you're a Python engineer."},
|
||||
# Additional conversation messages...
|
||||
]
|
||||
```
|
||||
|
||||
**4. Summarize Personal Memories**
|
||||
|
||||
```{code-cell}
|
||||
async with session.post(
|
||||
f"{base_url}/summary_personal_memory",
|
||||
json={
|
||||
"trajectories": [
|
||||
{"messages": messages, "score": 1.0}
|
||||
],
|
||||
"workspace_id": workspace_id,
|
||||
},
|
||||
headers={"Content-Type": "application/json"}
|
||||
) as response:
|
||||
result = await response.json()
|
||||
```
|
||||
|
||||
**5. Retrieve Personal Memories**
|
||||
|
||||
```{code-cell}
|
||||
# Example queries to retrieve personal information
|
||||
queries = [
|
||||
"What's my name and age?",
|
||||
"What do I do for work?",
|
||||
"What are my hobbies?"
|
||||
]
|
||||
|
||||
for query in queries:
|
||||
async with session.post(
|
||||
f"{base_url}/retrieve_personal_memory",
|
||||
json={
|
||||
"query": query,
|
||||
"workspace_id": workspace_id,
|
||||
},
|
||||
headers={"Content-Type": "application/json"}
|
||||
) as response:
|
||||
result = await response.json()
|
||||
print(f"Query: {query}")
|
||||
print(f"Answer: {result.get('answer', '')}")
|
||||
```
|
||||
|
||||
For a complete working example, refer to `/cookbook/simple_demo/use_personal_memory_demo.py` in the ReMe repository.
|
||||
|
|
@ -1,132 +0,0 @@
|
|||
# Personal Memory Retrieve Ops
|
||||
|
||||
## SetQueryOp
|
||||
|
||||
### Functionality
|
||||
`SetQueryOp` prepares the query for memory retrieval by setting the query and its associated timestamp into the context. It's the first operation in the personal memory retrieval flow.
|
||||
|
||||
### Parameters
|
||||
- `op.set_query_op.params.timestamp`: (Optional) Integer timestamp to use instead of the current time. If not provided, the current timestamp will be used.
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Takes the query from the context (which is guaranteed to exist as a flow input requirement)
|
||||
2. Sets a timestamp (either current time or from parameters)
|
||||
3. Stores the query and timestamp as a tuple in the context for downstream operations
|
||||
|
||||
## ExtractTimeOp
|
||||
|
||||
### Functionality
|
||||
`ExtractTimeOp` identifies and extracts time-related information from the query. It uses an LLM to analyze the query text and determine any temporal references or constraints.
|
||||
|
||||
### Parameters
|
||||
- `op.extract_time_op.params.language`: Language for time extraction (defaults to "en")
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Checks if the query contains datetime keywords
|
||||
2. If time-related words are found, it prepares a prompt for the LLM with:
|
||||
- System instructions
|
||||
- Few-shot examples
|
||||
- The user's query and current time
|
||||
3. Parses the LLM response to extract time information (year, month, day, etc.)
|
||||
4. Stores the extracted time dictionary in the context for downstream operations
|
||||
|
||||
## RetrieveMemoryOp
|
||||
|
||||
### Functionality
|
||||
`RetrieveMemoryOp` retrieves memories from the vector store based on the query. It extends the `RecallVectorStoreOp` class to provide memory retrieval functionality.
|
||||
|
||||
### Parameters
|
||||
- `op.retrieve_memory_op.params.recall_key`: Key in the context to use as the query (default: "query")
|
||||
- `op.retrieve_memory_op.params.top_k`: Maximum number of memories to retrieve (default: 3)
|
||||
- `op.retrieve_memory_op.params.threshold_score`: (Optional) Minimum similarity score for memories (filters out memories below this threshold)
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Retrieves the query from the context
|
||||
2. Searches the vector store for relevant memories based on the query
|
||||
3. Removes duplicate memories
|
||||
4. Filters memories by threshold score if specified
|
||||
5. Stores the retrieved memories in the context for downstream operations
|
||||
|
||||
## SemanticRankOp
|
||||
|
||||
### Functionality
|
||||
`SemanticRankOp` ranks memories based on their semantic relevance to the query using an LLM. This improves the quality of retrieved memories by considering deeper semantic relationships beyond vector similarity.
|
||||
|
||||
### Parameters
|
||||
- `op.semantic_rank_op.params.enable_ranker`: Whether to enable semantic ranking (default: true)
|
||||
- `op.semantic_rank_op.params.output_memory_max_count`: Maximum number of memories to output (default: 10)
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Retrieves the memory list from the context
|
||||
2. If ranking is enabled and there are more memories than the output limit:
|
||||
- Removes duplicates based on content
|
||||
- Formats memories for LLM ranking
|
||||
- Asks the LLM to rank memories by relevance on a scale of 0.0 to 1.0
|
||||
- Parses the ranking results and applies scores to memories
|
||||
3. Sorts memories by score
|
||||
4. Stores the ranked memories in the context for downstream operations
|
||||
|
||||
## FuseRerankOp
|
||||
|
||||
### Functionality
|
||||
`FuseRerankOp` performs the final reranking of memories by combining multiple factors: semantic scores, memory types, and temporal relevance. It also formats the final output.
|
||||
|
||||
### Parameters
|
||||
- `op.fuse_rerank_op.params.fuse_score_threshold`: Minimum score threshold for memories (default: 0.1)
|
||||
- `op.fuse_rerank_op.params.fuse_ratio_dict`: Dictionary of memory type to score multiplier ratios (default: {"conversation": 0.5, "observation": 1, "obs_customized": 1.2, "insight": 2.0})
|
||||
- `op.fuse_rerank_op.params.fuse_time_ratio`: Score multiplier for time-relevant memories (default: 2.0)
|
||||
- `op.fuse_rerank_op.params.output_memory_max_count`: Maximum number of memories to output (default: 5)
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Retrieves extracted time information and memory list from the context
|
||||
2. For each memory:
|
||||
- Checks if the memory score is above the threshold
|
||||
- Applies a type-based adjustment factor based on the memory type
|
||||
- Determines time relevance by matching memory time metadata with extracted time
|
||||
- Calculates the final score by multiplying the original score by type and time factors
|
||||
3. Sorts memories by the reranked scores
|
||||
4. Selects the top-K memories based on the output limit
|
||||
5. Formats memories for output with timestamps if available
|
||||
6. Stores both the formatted output and the memory list in the context
|
||||
|
||||
## PrintMemoryOp
|
||||
|
||||
### Functionality
|
||||
`PrintMemoryOp` formats the retrieved memories for display to the user. It provides a clean, structured representation of the memory content.
|
||||
|
||||
### Parameters
|
||||
No specific parameters for this operation.
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Retrieves the memory list from the context
|
||||
2. Formats each memory with:
|
||||
- Memory index
|
||||
- When to use information
|
||||
- Content
|
||||
- Additional metadata (if available)
|
||||
3. Joins the formatted memories into a single string
|
||||
4. Stores the formatted string in the context as the response answer
|
||||
|
||||
## ReadMessageOp
|
||||
|
||||
### Functionality
|
||||
`ReadMessageOp` fetches unmemorized chat messages from the context. This is useful for retrieving recent conversations that haven't been processed into memories yet.
|
||||
|
||||
### Parameters
|
||||
- `op.read_message_op.params.contextual_msg_max_count`: Maximum number of contextual messages to retrieve (default: 10)
|
||||
|
||||
### Implementation Details
|
||||
The operation:
|
||||
1. Retrieves chat messages from the context
|
||||
2. Filters for messages that:
|
||||
- Are not marked as memorized
|
||||
- Contain the target name
|
||||
3. Flattens the messages into a single list
|
||||
4. Sorts messages by creation time if available
|
||||
5. Stores the filtered messages back in the context
|
||||
|
|
@ -1,145 +0,0 @@
|
|||
# Personal Memory Summary Ops
|
||||
|
||||
## InfoFilterOp
|
||||
|
||||
### Purpose
|
||||
Filters messages based on information content scores, retaining only those that include significant information about the user.
|
||||
|
||||
### Parameters
|
||||
- `op.info_filter_op.params.preserved_scores`: Comma-separated string of scores to preserve (default: "2,3")
|
||||
- `op.info_filter_op.params.info_filter_msg_max_size`: Maximum size of messages to process (default: 200)
|
||||
|
||||
### Description
|
||||
This operation analyzes messages to determine which ones contain valuable personal information. It uses an LLM to score each message on a scale of 0-3:
|
||||
- 0: No user information
|
||||
- 1: Hypothetical or fictional content
|
||||
- 2: General or time-sensitive information
|
||||
- 3: Clear, important information or explicitly requested records
|
||||
|
||||
Only messages with scores specified in `preserved_scores` are retained. Messages are also filtered to exclude those already memorized and to only include messages from the user.
|
||||
|
||||
## GetObservationOp
|
||||
|
||||
### Purpose
|
||||
Extracts general observations about the user from messages that don't contain time-related information.
|
||||
|
||||
### Parameters
|
||||
No specific parameters for this operation.
|
||||
|
||||
### Description
|
||||
This operation processes messages that don't contain time-related keywords. It uses an LLM to extract meaningful observations about the user from these messages. Each observation includes:
|
||||
- Content: The actual observation text
|
||||
- Keywords: Tags that indicate when this observation might be relevant
|
||||
- Source message: The original message that led to this observation
|
||||
|
||||
The operation creates `PersonalMemory` objects with observation type "personal_info" for each extracted observation.
|
||||
|
||||
## GetObservationWithTimeOp
|
||||
|
||||
### Purpose
|
||||
Extracts observations with time context from messages that contain time-related information.
|
||||
|
||||
### Parameters
|
||||
No specific parameters for this operation.
|
||||
|
||||
### Description
|
||||
This operation is the counterpart to `GetObservationOp` but focuses specifically on messages containing time-related keywords. It extracts observations while preserving the time context, which is important for memories related to schedules, appointments, or time-specific preferences.
|
||||
|
||||
The operation creates `PersonalMemory` objects with observation type "personal_info_with_time" for each extracted observation, including the time information in the metadata.
|
||||
|
||||
## LoadTodayMemoryOp
|
||||
|
||||
### Purpose
|
||||
Loads memories created today from the vector store to prevent duplication and enable updating of recent memories.
|
||||
|
||||
### Parameters
|
||||
- `op.load_today_memory_op.params.top_k`: Maximum number of memories to retrieve (default: 50)
|
||||
|
||||
### Description
|
||||
This operation retrieves memories created on the current day using vector store search with date filtering. It converts vector nodes to memory objects and makes them available for deduplication in subsequent operations. This helps ensure that new observations don't create redundant memories for information already captured earlier in the day.
|
||||
|
||||
## ContraRepeatOp
|
||||
|
||||
### Purpose
|
||||
Identifies and removes contradictory or repetitive information from the collected memories.
|
||||
|
||||
### Parameters
|
||||
- `op.contra_repeat_op.params.contra_repeat_max_count`: Maximum number of memories to process (default: 50)
|
||||
- `op.contra_repeat_op.params.enable_contra_repeat`: Whether to enable contradiction/repetition checking (default: true)
|
||||
|
||||
### Description
|
||||
This operation analyzes the combined memories from previous operations (observation_memories, observation_memories_with_time, today_memories) to identify contradictions or redundancies. It uses an LLM to evaluate each memory and mark it as:
|
||||
- "Contradiction": Contradicts other memories
|
||||
- "Contained": Redundant as the information is already contained in other memories
|
||||
- "None": Unique and should be kept
|
||||
|
||||
Memories marked as contradictory or contained are filtered out, and their IDs are tracked for deletion from the vector store.
|
||||
|
||||
## LongContraRepeatOp
|
||||
|
||||
### Purpose
|
||||
Performs more sophisticated contradiction and redundancy analysis for longer-term memory management.
|
||||
|
||||
### Parameters
|
||||
- `op.long_contra_repeat_op.params.long_contra_repeat_max_count`: Maximum number of memories to process (default: 50)
|
||||
- `op.long_contra_repeat_op.params.enable_long_contra_repeat`: Whether to enable this operation (default: true)
|
||||
|
||||
### Description
|
||||
This operation extends the basic contradiction analysis of `ContraRepeatOp` with the ability to resolve conflicts by modifying contradictory memories rather than simply removing them. It's particularly useful for managing long-term personal memories where information might evolve over time.
|
||||
|
||||
For contradictory memories, it can either:
|
||||
- Modify the content to resolve the contradiction
|
||||
- Remove the memory if it's completely invalidated
|
||||
- Keep the most accurate/recent information
|
||||
|
||||
## UpdateInsightOp
|
||||
|
||||
### Purpose
|
||||
Updates existing insight values based on new observations.
|
||||
|
||||
### Parameters
|
||||
- `op.update_insight_op.params.update_insight_threshold`: Minimum relevance score threshold (default: 0.3)
|
||||
- `op.update_insight_op.params.update_insight_max_count`: Maximum number of insights to update (default: 5)
|
||||
|
||||
### Description
|
||||
This operation integrates new observations into existing insights about the user. It:
|
||||
1. Scores insight memories based on relevance to new observations
|
||||
2. Selects the top insights that meet the relevance threshold
|
||||
3. Updates each selected insight using an LLM to incorporate the new information
|
||||
4. Creates updated insight memories with the original ID but new content
|
||||
|
||||
This helps maintain accurate and up-to-date insights as new information about the user becomes available.
|
||||
|
||||
## GetReflectionSubjectOp
|
||||
|
||||
### Purpose
|
||||
Generates reflection subjects (topics) from personal memories for insight extraction.
|
||||
|
||||
### Parameters
|
||||
- `op.get_reflection_subject_op.params.reflect_obs_cnt_threshold`: Minimum number of memories required for reflection (default: 10)
|
||||
- `op.get_reflection_subject_op.params.reflect_num_questions`: Maximum number of new subjects to generate (default: 3)
|
||||
|
||||
### Description
|
||||
This operation analyzes a collection of personal memories to identify potential topics for reflection and insight generation. It:
|
||||
1. Checks if there are sufficient memories for meaningful reflection
|
||||
2. Extracts existing insight subjects to avoid duplication
|
||||
3. Uses an LLM to generate new reflection subjects based on memory content
|
||||
4. Creates insight memory objects for these new subjects
|
||||
|
||||
The generated subjects serve as focal points for organizing and synthesizing personal information about the user.
|
||||
|
||||
## UpdateVectorStoreOp
|
||||
|
||||
### Purpose
|
||||
Stores the processed memories in the vector database and removes deleted memories.
|
||||
|
||||
### Parameters
|
||||
No specific parameters for this operation.
|
||||
|
||||
### Description
|
||||
This operation is the final step in the personal memory summarization flow. It:
|
||||
1. Deletes memories that were marked for removal (contradictory or redundant)
|
||||
2. Inserts new or updated memories into the vector store
|
||||
3. Records the number of deleted and inserted memories
|
||||
|
||||
This ensures that the vector store remains up-to-date with the latest processed memories.
|
||||
|
|
@ -1,484 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Quick Start
|
||||
|
||||
### HTTP Service Startup
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=http \
|
||||
http.port=8002 \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### MCP Server Support
|
||||
|
||||
```bash
|
||||
reme \
|
||||
backend=mcp \
|
||||
mcp.transport=stdio \
|
||||
llm.default.model_name=qwen3-30b-a3b-thinking-2507 \
|
||||
embedding_model.default.model_name=text-embedding-v4 \
|
||||
vector_store.default.backend=local
|
||||
```
|
||||
|
||||
### Core API Usage
|
||||
|
||||
#### Task Memory Management
|
||||
|
||||
`````{tab-set}
|
||||
|
||||
````{tab-item} python(http)
|
||||
```{code-block}
|
||||
import requests
|
||||
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
response = requests.post("http://localhost:8002/summary_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
})
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
response = requests.post("http://localhost:8002/retrieve_task_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
})
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} python(import)
|
||||
```{code-block}
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
result = await app.async_execute(
|
||||
name="summary_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "Help me create a project plan"}
|
||||
],
|
||||
"score": 1.0
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
result = await app.async_execute(
|
||||
name="retrieve_task_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="How to efficiently manage project progress?",
|
||||
top_k=1
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} curl
|
||||
```bash
|
||||
# Experience Summarizer: Learn from execution trajectories
|
||||
curl -X POST http://localhost:8002/summary_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [{"role": "user", "content": "Help me create a project plan"}], "score": 1.0}
|
||||
]
|
||||
}'
|
||||
|
||||
# Retriever: Get relevant memories
|
||||
curl -X POST http://localhost:8002/retrieve_task_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "How to efficiently manage project progress?",
|
||||
"top_k": 1
|
||||
}'
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} Node.js
|
||||
```{code-block} javascript
|
||||
// Experience Summarizer: Learn from execution trajectories
|
||||
fetch("http://localhost:8002/summary_task_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "task_workspace",
|
||||
trajectories: [
|
||||
{messages: [{role: "user", content: "Help me create a project plan"}], score: 1.0}
|
||||
]
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
|
||||
// Retriever: Get relevant memories
|
||||
fetch("http://localhost:8002/retrieve_task_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "task_workspace",
|
||||
query: "How to efficiently manage project progress?",
|
||||
top_k: 1
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
```
|
||||
````
|
||||
`````
|
||||
|
||||
#### Personal Memory Management
|
||||
|
||||
`````{tab-set}
|
||||
|
||||
````{tab-item} python(http)
|
||||
```{code-block}
|
||||
import requests
|
||||
|
||||
# Memory Integration: Learn from user interactions
|
||||
response = requests.post("http://localhost:8002/summary_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages":
|
||||
[
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
response = requests.post("http://localhost:8002/retrieve_personal_memory", json={
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user's work habits?",
|
||||
"top_k": 5
|
||||
})
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} python(import)
|
||||
```{code-block}
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Memory Integration: Learn from user interactions
|
||||
result = await app.async_execute(
|
||||
name="summary_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
trajectories=[
|
||||
{
|
||||
"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant",
|
||||
"content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
result = await app.async_execute(
|
||||
name="retrieve_personal_memory",
|
||||
workspace_id="task_workspace",
|
||||
query="What are the user's work habits?",
|
||||
top_k=5
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} curl
|
||||
```bash
|
||||
# Memory Integration: Learn from user interactions
|
||||
curl -X POST http://localhost:8002/summary_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"trajectories": [
|
||||
{"messages": [
|
||||
{"role": "user", "content": "I like to drink coffee while working in the morning"},
|
||||
{"role": "assistant", "content": "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]}
|
||||
]
|
||||
}'
|
||||
|
||||
# Memory Retrieval: Get personal memory fragments
|
||||
curl -X POST http://localhost:8002/retrieve_personal_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "task_workspace",
|
||||
"query": "What are the user's work habits?",
|
||||
"top_k": 5
|
||||
}'
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} Node.js
|
||||
```{code-block} javascript
|
||||
// Memory Integration: Learn from user interactions
|
||||
fetch("http://localhost:8002/summary_personal_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "task_workspace",
|
||||
trajectories: [
|
||||
{messages: [
|
||||
{role: "user", content: "I like to drink coffee while working in the morning"},
|
||||
{role: "assistant", content: "I understand, you prefer to start your workday with coffee to stay energized"}
|
||||
]}
|
||||
]
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
|
||||
// Memory Retrieval: Get personal memory fragments
|
||||
fetch("http://localhost:8002/retrieve_personal_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "task_workspace",
|
||||
query: "What are the user's work habits?",
|
||||
top_k: 5
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
```
|
||||
````
|
||||
`````
|
||||
|
||||
|
||||
#### Tool Memory Management
|
||||
|
||||
`````{tab-set}
|
||||
|
||||
````{tab-item} python(http)
|
||||
```{code-block}
|
||||
import requests
|
||||
|
||||
# Record tool execution results
|
||||
response = requests.post("http://localhost:8002/add_tool_call_result", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
})
|
||||
|
||||
# Generate usage guidelines from history
|
||||
response = requests.post("http://localhost:8002/summary_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
response = requests.post("http://localhost:8002/retrieve_tool_memory", json={
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
})
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} python(import)
|
||||
```{code-block}
|
||||
import asyncio
|
||||
from reme_ai import ReMeApp
|
||||
|
||||
async def main():
|
||||
async with ReMeApp(
|
||||
"llm.default.model_name=qwen3-30b-a3b-thinking-2507",
|
||||
"embedding_model.default.model_name=text-embedding-v4",
|
||||
"vector_store.default.backend=memory"
|
||||
) as app:
|
||||
# Record tool execution results
|
||||
result = await app.async_execute(
|
||||
name="add_tool_call_result",
|
||||
workspace_id="tool_workspace",
|
||||
tool_call_results=[
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Generate usage guidelines from history
|
||||
result = await app.async_execute(
|
||||
name="summary_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
result = await app.async_execute(
|
||||
name="retrieve_tool_memory",
|
||||
workspace_id="tool_workspace",
|
||||
tool_names="web_search"
|
||||
)
|
||||
print(result)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} curl
|
||||
```bash
|
||||
# Record tool execution results
|
||||
curl -X POST http://localhost:8002/add_tool_call_result \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio tutorial", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": true,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
]
|
||||
}'
|
||||
|
||||
# Generate usage guidelines from history
|
||||
curl -X POST http://localhost:8002/summary_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
|
||||
# Retrieve tool guidelines before use
|
||||
curl -X POST http://localhost:8002/retrieve_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "tool_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
```
|
||||
````
|
||||
|
||||
````{tab-item} Node.js
|
||||
```{code-block} javascript
|
||||
// Record tool execution results
|
||||
fetch("http://localhost:8002/add_tool_call_result", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "tool_workspace",
|
||||
tool_call_results: [
|
||||
{
|
||||
create_time: "2025-10-21 10:30:00",
|
||||
tool_name: "web_search",
|
||||
input: {query: "Python asyncio tutorial", max_results: 10},
|
||||
output: "Found 10 relevant results...",
|
||||
token_cost: 150,
|
||||
success: true,
|
||||
time_cost: 2.3
|
||||
}
|
||||
]
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
|
||||
// Generate usage guidelines from history
|
||||
fetch("http://localhost:8002/summary_tool_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "tool_workspace",
|
||||
tool_names: "web_search"
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
|
||||
// Retrieve tool guidelines before use
|
||||
fetch("http://localhost:8002/retrieve_tool_memory", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
workspace_id: "tool_workspace",
|
||||
tool_names: "web_search"
|
||||
})
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => console.log(data));
|
||||
```
|
||||
````
|
||||
`````
|
||||
|
|
@ -1,136 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# SOP Memory: Combining Atomic Operations into Complex Workflows
|
||||
|
||||
## 1. Background
|
||||
|
||||
In LLM application development, we often need to combine multiple basic operations (atomic operations) into more complex
|
||||
workflows. These workflows can handle complex tasks such as data retrieval, code generation, multi-turn dialogues, and
|
||||
more. By combining these atomic operations into Standard Operating Procedures (SOPs), we can:
|
||||
|
||||
- Improve code reusability
|
||||
- Simplify implementation of complex tasks
|
||||
- Standardize common workflows
|
||||
- Reduce development and maintenance costs
|
||||
|
||||
This document introduces how to combine atomic operations (Ops) to form new composite operation tools using the FlowLLM
|
||||
framework.
|
||||
|
||||
## 2. Technical Solution
|
||||
|
||||
### 2.1 Atomic Operation Definition
|
||||
|
||||
Each operation (Op) needs to define the following core attributes:
|
||||
|
||||
```{code-cell}
|
||||
class BaseAsyncToolOp:
|
||||
description: str # Description of the operation
|
||||
input_schema: Dict[str, ParamAttr] # Input parameter schema definition
|
||||
output_schema: Dict[str, ParamAttr] # Output parameter schema definition
|
||||
```
|
||||
|
||||
Where `ParamAttr` defines parameter type, whether it's required, and other attributes:
|
||||
|
||||
```{code-cell}
|
||||
class ParamAttr:
|
||||
type: Type # Parameter type, such as str, int, Dict, etc.
|
||||
required: bool = True # Whether it must be provided
|
||||
default: Any = None # Default value
|
||||
description: str = "" # Parameter description
|
||||
```
|
||||
|
||||
### 2.2 SOP Composition Process
|
||||
|
||||
#### Step 1: Create Atomic Operation Instances
|
||||
|
||||
First, instantiate the required atomic operations:
|
||||
|
||||
```{code-cell}
|
||||
from flowllm.op.gallery.mock_op import MockOp
|
||||
from flowllm.op.search.tavily_search_op import TavilySearchOp
|
||||
from flowllm.op.agent.react_v2_op import ReactV2Op
|
||||
|
||||
# Create atomic operation instances
|
||||
search_op = TavilySearchOp()
|
||||
react_op = ReactV2Op()
|
||||
summary_op = MockOp(
|
||||
description="Summarize search results",
|
||||
input_schema={"search_results": ParamAttr(type=str, description="Search results to summarize")},
|
||||
output_schema={"summary": ParamAttr(type=str, description="Summarized content")}
|
||||
)
|
||||
```
|
||||
|
||||
#### Step 2: Define Data Flow Between Operations
|
||||
|
||||
Set up input-output relationships between operations, defining how data flows between them:
|
||||
|
||||
```{code-cell}
|
||||
# Set input parameter sources
|
||||
react_op.set_input("context",
|
||||
"search_summary") # react_op's context parameter is retrieved from search_summary in memory
|
||||
|
||||
# Set output parameter destinations
|
||||
search_op.set_output("results", "search_results") # search_op's results output to search_results in memory
|
||||
summary_op.set_output("summary", "search_summary") # summary_op's summary output to search_summary in memory
|
||||
```
|
||||
|
||||
#### Step 3: Build Operation Flow Graph
|
||||
|
||||
Use operators to build the operation flow graph, defining execution order and parallel relationships:
|
||||
|
||||
```{code-cell}
|
||||
# Build operation flow graph
|
||||
flow = search_op >> summary_op >> react_op
|
||||
|
||||
# Or more complex flows
|
||||
# Parallel operations use the | operator, sequential operations use the >> operator
|
||||
complex_flow = (search_op >> summary_op) | (another_search_op >> another_summary_op) >> react_op
|
||||
```
|
||||
|
||||
Operator explanation:
|
||||
|
||||
- `>>`: Sequential execution, execute the next operation after the previous one completes
|
||||
- `|`: Parallel execution, execute multiple operations simultaneously
|
||||
|
||||
#### Step 4: Create Composite Operation Class
|
||||
|
||||
Encapsulate the built operation flow into a new composite operation class:
|
||||
|
||||
```{code-cell}
|
||||
|
||||
class SearchAndReactOp(BaseToolOp):
|
||||
description = "Search for information and generate a response based on search results"
|
||||
input_schema = ...
|
||||
output_schema = ...
|
||||
|
||||
def build_flow(self):
|
||||
search_op = TavilySearchOp()
|
||||
summary_op = MockOp()
|
||||
react_op = ReactV2Op()
|
||||
|
||||
# Set data flow
|
||||
search_op.set_output("results", "search_results")
|
||||
summary_op.set_input("search_results", "search_results")
|
||||
summary_op.set_output("summary", "search_summary")
|
||||
react_op.set_input("context", "search_summary")
|
||||
react_op.set_output("response", "response")
|
||||
|
||||
# Build operation flow graph
|
||||
return search_op >> summary_op >> react_op
|
||||
|
||||
async def execute(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
|
||||
# Execute operation flow
|
||||
return await self.flow.execute(inputs)
|
||||
```
|
||||
|
|
@ -1,216 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Task Memory
|
||||
|
||||
Task Memory is a key component of ReMe that allows AI agents to learn from memories and improve their performance on similar tasks in the future. This document explains how task memory works and how to use it in your applications.
|
||||
|
||||
## What is Task Memory?
|
||||
|
||||
Task Memory represents knowledge extracted from previous task executions, including:
|
||||
- Successful approaches to solving problems
|
||||
- Common pitfalls and failures to avoid
|
||||
- Comparative insights between different approaches
|
||||
|
||||
Each task memory contains:
|
||||
- `when_to_use`: Conditions that indicate when this memory is relevant
|
||||
- `content`: The actual knowledge or memory to be applied
|
||||
- Metadata about the memory's source and utility
|
||||
|
||||
## Configuration Logic
|
||||
|
||||
Task Memory in ReMe is configured through two main flows:
|
||||
|
||||
### 1. Summary Task Memory
|
||||
|
||||
The `summary_task_memory` flow processes conversation trajectories to extract meaningful memories:
|
||||
|
||||
```yaml
|
||||
summary_task_memory:
|
||||
flow_content: trajectory_preprocess_op >> (success_extraction_op|failure_extraction_op|comparative_extraction_op) >> memory_validation_op >> update_vector_store_op
|
||||
description: "Summarizes conversation trajectories or messages into structured memory representations for long-term storage"
|
||||
```
|
||||
|
||||
This flow:
|
||||
1. Preprocesses trajectories (`trajectory_preprocess_op`)
|
||||
2. Extracts memories based on success/failure/comparative analysis
|
||||
3. Validates memories (`memory_validation_op`)
|
||||
4. Updates the vector store (`update_vector_store_op`)
|
||||
|
||||
A simplified version (`summary_task_memory_simple`) is also available for less complex use cases.
|
||||
|
||||
### 2. Retrieve Task Memory
|
||||
|
||||
The `retrieve_task_memory` flow fetches relevant memories based on a query:
|
||||
|
||||
```yaml
|
||||
retrieve_task_memory:
|
||||
flow_content: build_query_op >> recall_vector_store_op >> rerank_memory_op >> rewrite_memory_op
|
||||
description: "Retrieves the most relevant top-k memory from historical data based on the current query to enhance task-solving capabilities"
|
||||
```
|
||||
|
||||
This flow:
|
||||
1. Builds a query from the input (`build_query_op`)
|
||||
2. Recalls relevant memories from the vector store (`recall_vector_store_op`)
|
||||
3. Reranks memories by relevance (`rerank_memory_op`)
|
||||
4. Rewrites memories for better context integration (`rewrite_memory_op`)
|
||||
|
||||
A simplified version (`retrieve_task_memory_simple`) is also available.
|
||||
|
||||
## Basic Usage
|
||||
|
||||
Here's how to use Task Memory in your application:
|
||||
|
||||
### Step 1: Set Up Your Environment
|
||||
|
||||
```{code-cell}
|
||||
import requests
|
||||
|
||||
# API configuration
|
||||
BASE_URL = "http://0.0.0.0:8002/"
|
||||
WORKSPACE_ID = "your_workspace_id"
|
||||
```
|
||||
|
||||
### Step 2: Run an Agent and Generate Memories
|
||||
|
||||
```{code-cell}
|
||||
# Run the agent with a query
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}react",
|
||||
json={"query": "Your query here"}
|
||||
)
|
||||
messages = response.json().get("messages", [])
|
||||
|
||||
# Summarize the conversation to create task memories
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}summary_task_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"trajectories": [
|
||||
{"messages": messages, "score": 1.0}
|
||||
]
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
### Step 3: Retrieve Relevant Memories for a New Task
|
||||
|
||||
```{code-cell}
|
||||
# Retrieve memories relevant to a new query
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}retrieve_task_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"query": "Your new query here"
|
||||
}
|
||||
)
|
||||
retrieved_memory = response.json().get("answer", "")
|
||||
```
|
||||
|
||||
### Step 4: Use Retrieved Memories to Enhance Agent Performance
|
||||
|
||||
```{code-cell}
|
||||
# Augment a new query with retrieved memories
|
||||
augmented_query = f"{retrieved_memory}\n\nUser Question:\n{your_query}"
|
||||
|
||||
# Run agent with the augmented query
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}react",
|
||||
json={"query": augmented_query}
|
||||
)
|
||||
```
|
||||
|
||||
## Complete Example
|
||||
|
||||
Here's a complete example workflow that demonstrates how to use task memory:
|
||||
|
||||
```{code-cell}
|
||||
def run_agent_with_memory(query_first, query_second):
|
||||
# Run agent with second query to build initial memories
|
||||
messages = run_agent(query=query_second)
|
||||
|
||||
# Summarize conversation to create memories
|
||||
requests.post(
|
||||
url=f"{BASE_URL}summary_task_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"trajectories": [
|
||||
{"messages": messages, "score": 1.0}
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
# Retrieve relevant memories for the first query
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}retrieve_task_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"query": query_first
|
||||
}
|
||||
)
|
||||
retrieved_memory = response.json().get("answer", "")
|
||||
|
||||
# Run agent with first query augmented with retrieved memories
|
||||
augmented_query = f"{retrieved_memory}\n\nUser Question:\n{query_first}"
|
||||
return run_agent(query=augmented_query)
|
||||
```
|
||||
|
||||
## Managing Task Memories
|
||||
|
||||
### Delete a Workspace
|
||||
|
||||
```{code-cell}
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "delete"
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
### Dump Memories to Disk
|
||||
|
||||
```{code-cell}
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "dump",
|
||||
"path": "./"
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
### Load Memories from Disk
|
||||
|
||||
```{code-cell}
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"action": "load",
|
||||
"path": "./"
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
## Advanced Features
|
||||
|
||||
ReMe also provides additional task memory operations:
|
||||
|
||||
- `record_task_memory`: Update frequency and utility attributes of retrieved memories
|
||||
- `delete_task_memory`: Delete memories based on utility/frequency thresholds
|
||||
|
||||
For more detailed examples, see the `use_task_memory_demo.py` file in the cookbook directory of the ReMe project.
|
||||
|
|
@ -1,73 +0,0 @@
|
|||
# Task Memory Retrieval Ops
|
||||
|
||||
## BuildQueryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Constructs a query for memory retrieval either from a direct query input or by analyzing conversation messages.
|
||||
|
||||
### Functionality
|
||||
|
||||
- If a direct `query` is provided in the context, it uses that query
|
||||
- If `messages` are provided in the context, it can:
|
||||
- Use an LLM to generate a query based on the conversation context
|
||||
- Or create a simple query from recent messages without using an LLM
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.build_query_op.params.enable_llm_build` (boolean, default: `true`):
|
||||
- When `true`, uses an LLM to generate a query from conversation messages
|
||||
- When `false`, creates a simple query by concatenating recent messages
|
||||
|
||||
## RerankMemoryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Reranks and filters recalled memories to ensure the most relevant memories are prioritized.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Reranks memories using LLM-based analysis (optional)
|
||||
- Filters memories based on quality scores (optional)
|
||||
- Returns the top-k most relevant memories
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.rerank_memory_op.params.enable_llm_rerank` (boolean, default: `true`):
|
||||
- When `true`, uses an LLM to rerank memories based on their relevance to the query
|
||||
- `op.rerank_memory_op.params.enable_score_filter` (boolean, default: `false`):
|
||||
- When `true`, filters memories based on their quality scores
|
||||
- `op.rerank_memory_op.params.min_score_threshold` (float, default: `0.3`):
|
||||
- Minimum score threshold for filtering memories when `enable_score_filter` is `true`
|
||||
- `op.rerank_memory_op.params.top_k` (integer, default: `5`):
|
||||
- Number of top memories to retain after reranking
|
||||
|
||||
## RewriteMemoryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Rewrites and formats the retrieved memories to make them more relevant and actionable for the current context.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Formats retrieved memories into a structured format
|
||||
- Can use an LLM to rewrite memories to better fit the current context (optional)
|
||||
- Generates a cohesive context message from multiple memories
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.rewrite_memory_op.params.enable_llm_rewrite` (boolean, default: `true`):
|
||||
- When `true`, uses an LLM to rewrite the memories to make them more relevant and actionable
|
||||
- When `false`, simply formats the memories without LLM-based rewriting
|
||||
|
||||
## MergeMemoryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
An alternative to RewriteMemoryOp that merges multiple memories into a single response without using an LLM.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Collects the content from all memories in the memory list
|
||||
- Formats them into a single response with a standard structure
|
||||
- Adds a prompt to consider the helpful parts when answering the question
|
||||
|
|
@ -1,163 +0,0 @@
|
|||
# Task Memory Summary Ops
|
||||
|
||||
## TrajectoryPreprocessOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Preprocesses trajectories by validating and classifying them based on their score.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Validates and classifies trajectories as success or failure based on a threshold
|
||||
- Modifies tool calls in messages to ensure consistent format
|
||||
- Sets context for downstream operators with classified trajectories
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.trajectory_preprocess_op.params.success_threshold` (float, default: `1.0`):
|
||||
- The threshold score that determines if a trajectory is considered successful
|
||||
- Trajectories with scores greater than or equal to this value are classified as successful
|
||||
|
||||
## TrajectorySegmentationOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Segments trajectories into meaningful step sequences to enable more granular memory extraction.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Uses LLM to identify logical break points in trajectories
|
||||
- Adds segmentation information to trajectory metadata
|
||||
- Enables more focused memory extraction from specific parts of conversations
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.trajectory_segmentation_op.params.segment_target` (string, default: `"all"`):
|
||||
- Determines which trajectories to segment
|
||||
- Options: `"all"`, `"success"`, `"failure"`
|
||||
|
||||
## SuccessExtractionOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Extracts task memories from successful trajectories.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Processes successful trajectories to identify valuable memories
|
||||
- Can work with both entire trajectories and segmented step sequences
|
||||
- Uses LLM to extract structured task memories with when-to-use conditions
|
||||
|
||||
### Parameters
|
||||
|
||||
No specific parameters beyond the LLM configuration.
|
||||
|
||||
## FailureExtractionOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Extracts task memories from failed trajectories to capture lessons learned from unsuccessful attempts.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Processes failed trajectories to identify pitfalls and mistakes
|
||||
- Can work with both entire trajectories and segmented step sequences
|
||||
- Uses LLM to extract structured task memories with when-to-use conditions
|
||||
|
||||
### Parameters
|
||||
|
||||
No specific parameters beyond the LLM configuration.
|
||||
|
||||
## ComparativeExtractionOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Extracts comparative task memories by comparing different scoring trajectories.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Performs "soft comparison" between highest and lowest scoring trajectories
|
||||
- Can perform "hard comparison" between success and failure trajectories using similarity search
|
||||
- Identifies key differences that contributed to success or failure
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.comparative_extraction_op.params.enable_soft_comparison` (boolean, default: `true`):
|
||||
- When `true`, enables comparison between highest and lowest scoring trajectories
|
||||
- `op.comparative_extraction_op.params.enable_similarity_comparison` (boolean, default: `false`):
|
||||
- When `true`, enables similarity-based comparison between success and failure trajectories
|
||||
- `op.comparative_extraction_op.params.similarity_threshold` (float, default: `0.3`):
|
||||
- The threshold for considering two trajectories similar
|
||||
- `op.comparative_extraction_op.params.max_similarity_sequences` (integer, default: `5`):
|
||||
- Maximum number of sequences to compare to avoid computational overload
|
||||
- `op.comparative_extraction_op.params.max_similarity_pairs` (integer, default: `3`):
|
||||
- Maximum number of similar pairs to process
|
||||
|
||||
## MemoryValidationOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Validates the quality of extracted task memories to ensure they are useful and relevant.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Uses LLM to validate each extracted memory
|
||||
- Scores memories based on quality and relevance
|
||||
- Filters out low-quality memories based on validation threshold
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.memory_validation_op.params.validation_threshold` (float, default: `0.5`):
|
||||
- The minimum score for a memory to be considered valid
|
||||
|
||||
## MemoryDeduplicationOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Removes duplicate task memories to avoid redundancy in the vector store.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Compares new memories with existing memories in the vector store
|
||||
- Uses embedding similarity to identify duplicates
|
||||
- Ensures only unique memories are stored
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.memory_deduplication_op.params.similarity_threshold` (float, default: `0.5`):
|
||||
- The threshold for considering two memories similar
|
||||
- `op.memory_deduplication_op.params.max_existing_task_memories` (integer, default: `1000`):
|
||||
- Maximum number of existing memories to check against
|
||||
|
||||
## SimpleSummaryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
A simplified version of memory extraction that processes entire trajectories in one step.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Classifies trajectories as success or failure based on score threshold
|
||||
- Extracts memories directly from complete trajectories
|
||||
- Useful for simpler use cases where detailed segmentation is not required
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.simple_summary_op.params.success_score_threshold` (float, default: `0.9`):
|
||||
- The threshold score that determines if a trajectory is considered successful
|
||||
|
||||
## SimpleComparativeSummaryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
A simplified version of comparative memory extraction.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Groups trajectories by task ID
|
||||
- Compares the highest and lowest scoring trajectories for each task
|
||||
- Extracts comparative insights without complex segmentation
|
||||
|
||||
### Parameters
|
||||
|
||||
No specific parameters beyond the LLM configuration.
|
||||
|
|
@ -1,270 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Tool Memory Benchmark
|
||||
|
||||
## Overview
|
||||
|
||||
This benchmark evaluates Tool Memory effectiveness by comparing agent performance with and without tool memory across multiple epochs. The experiment uses mock search tools with varying performance characteristics for different query complexities.
|
||||
|
||||
## Experimental Setup
|
||||
|
||||
### Mock Search Tools
|
||||
|
||||
Three LLM-based mock search tools with different performance profiles:
|
||||
|
||||
| Tool | Simple Queries | Medium Queries | Complex Queries |
|
||||
|-----------------|------------------------------|---------------------------|--------------------------|
|
||||
| **SearchToolA** | ⭐⭐⭐ Fast, high success (90%) | ❌ Poor (20% success) | ⚠️ Weak (50% success) |
|
||||
| **SearchToolB** | ⚠️ Over-engineered (30%) | ⭐⭐⭐ Optimal (90% success) | ⚠️ Limited (50% success) |
|
||||
| **SearchToolC** | ⚠️ Overkill (30%) | ⚠️ Excessive (40%) | ⭐⭐⭐ Best (90% success) |
|
||||
|
||||
**Performance Characteristics:**
|
||||
- `success_rate`: Probability of successful execution (vs "Service busy" error)
|
||||
- `relevance_ratio`: Probability of returning relevant results (vs random content)
|
||||
- `extra_time`: Simulated latency (currently 0 in implementation)
|
||||
|
||||
Each tool uses LLM to classify query complexity and generate appropriate responses.
|
||||
|
||||
### Query Dataset
|
||||
|
||||
**Source:** `cookbook/tool_memory/query.json`
|
||||
|
||||
- **Train Set**: 20 queries per complexity × 3 levels = 60 queries
|
||||
- **Test Set**: 20 queries per complexity × 3 levels = 60 queries
|
||||
- **Complexity Levels**: simple, moderate, complex
|
||||
|
||||
## Benchmark Workflow
|
||||
|
||||
### Single Epoch Process
|
||||
|
||||
Each epoch consists of 5 steps:
|
||||
|
||||
#### Step 1: Train without Memory
|
||||
```{code-cell}
|
||||
# Execute all train queries on TRAIN_WORKSPACE
|
||||
# Agent selects tools without historical guidance
|
||||
run_use_mock_search(TRAIN_WORKSPACE, train_queries, prompt_template)
|
||||
|
||||
# Add results to memory and get scored results
|
||||
train_scored_results = add_tool_call_results(TRAIN_WORKSPACE, train_results)
|
||||
```
|
||||
|
||||
#### Step 2: Test without Memory
|
||||
```{code-cell}
|
||||
# Execute all test queries on TEST_WORKSPACE (fresh workspace)
|
||||
# Baseline performance without tool memory
|
||||
run_use_mock_search(TEST_WORKSPACE, test_queries, prompt_template)
|
||||
|
||||
# Add results to memory (will be cleared in Step 4)
|
||||
test_scored_results = add_tool_call_results(TEST_WORKSPACE, test_results)
|
||||
```
|
||||
|
||||
#### Step 3: Summarize Tool Memory
|
||||
```{code-cell}
|
||||
# Summarize tool performance from TRAIN_WORKSPACE
|
||||
summarize_tool_memory(TRAIN_WORKSPACE, "SearchToolA,SearchToolB,SearchToolC")
|
||||
|
||||
# Retrieve formatted tool memory content
|
||||
memories = retrieve_tool_memory(TRAIN_WORKSPACE, tool_names)
|
||||
```
|
||||
|
||||
The summarization produces memory content including:
|
||||
- Best/worst use cases per tool
|
||||
- Statistical metrics (avg score, success rate, token cost, time cost)
|
||||
- Usage recommendations
|
||||
|
||||
#### Step 4: Test with Memory
|
||||
```{code-cell}
|
||||
# Clear TEST_WORKSPACE to start fresh
|
||||
delete_workspace(TEST_WORKSPACE)
|
||||
|
||||
# Inject tool memory into prompt
|
||||
prompt_with_memory = f"Tool Information\n{memories}\nMust select one tool to answer\nQuery\n{query}"
|
||||
|
||||
# Execute test queries with memory guidance
|
||||
run_use_mock_search(TEST_WORKSPACE, test_queries, prompt_with_memory)
|
||||
|
||||
# Add results and get scored results
|
||||
test_scored_results_with_memory = add_tool_call_results(TEST_WORKSPACE, test_results)
|
||||
```
|
||||
|
||||
#### Step 5: Compare Results
|
||||
```{code-cell}
|
||||
# Generate comparison table
|
||||
print_comparison_table([train_no_memory_stats, test_no_memory_stats, test_with_memory_stats])
|
||||
|
||||
# Calculate improvements (baseline: test without memory)
|
||||
improvements = calculate_improvements(test_no_memory_stats, test_with_memory_stats)
|
||||
print_improvements(improvements)
|
||||
```
|
||||
|
||||
### Multi-Epoch Execution
|
||||
|
||||
```bash
|
||||
# Run benchmark with 3 epochs
|
||||
python cookbook/tool_memory/run_reme_tool_bench.py
|
||||
|
||||
# Test mode (5 queries per complexity level)
|
||||
main(test_mode=True, run_epoch=3)
|
||||
|
||||
# Full mode (20 queries per complexity level)
|
||||
main(test_mode=False, run_epoch=3)
|
||||
```
|
||||
|
||||
## Key Components
|
||||
|
||||
### 1. Tool Selection: UseMockSearchOp
|
||||
|
||||
```{code-cell}
|
||||
# Agent uses LLM to select appropriate tool
|
||||
tool_call = await self.select_tool(query, [SearchToolA(), SearchToolB(), SearchToolC()])
|
||||
|
||||
# Execute selected tool and record results
|
||||
result = ToolCallResult(
|
||||
create_time=timestamp,
|
||||
tool_name=tool_call.name,
|
||||
input={"query": query},
|
||||
output=content,
|
||||
token_cost=token_cost,
|
||||
success=success,
|
||||
time_cost=time_cost
|
||||
)
|
||||
```
|
||||
|
||||
### 2. Tool Call Result Evaluation
|
||||
|
||||
Results are automatically evaluated and scored:
|
||||
- `score`: 0.0 (failure/irrelevant) or 1.0 (complete success)
|
||||
- `success`: Tool execution status
|
||||
- `summary`: Brief description
|
||||
- `evaluation`: Detailed assessment
|
||||
|
||||
### 3. Tool Memory Schema
|
||||
|
||||
```{code-cell}
|
||||
ToolMemory(
|
||||
workspace_id="workspace_id",
|
||||
memory_type="tool",
|
||||
when_to_use="Brief usage scenario description",
|
||||
content="Detailed performance analysis and recommendations",
|
||||
score=0.85,
|
||||
tool_call_results=[list of ToolCallResult],
|
||||
metadata={"tool_name": "SearchToolA"}
|
||||
)
|
||||
```
|
||||
|
||||
## Evaluation Metrics
|
||||
|
||||
### Per-Scenario Metrics
|
||||
- **Avg Score**: Average quality score (0.0-1.0)
|
||||
- **Total Calls**: Number of tool invocations
|
||||
- **Success Rate**: Percentage of successful executions
|
||||
|
||||
### Improvement Calculation
|
||||
```{code-cell}
|
||||
improvement_percentage = ((with_memory_score - without_memory_score) / without_memory_score) * 100
|
||||
```
|
||||
|
||||
## Expected Results
|
||||
|
||||
### Hypothesis
|
||||
Tool Memory should enable the agent to:
|
||||
1. **Select optimal tools** based on query complexity
|
||||
2. **Improve average score** by 10-30% on test set
|
||||
3. **Increase consistency** across multiple epochs
|
||||
|
||||
### Sample Output
|
||||
|
||||
```
|
||||
==================================================================================================
|
||||
BENCHMARK RESULTS COMPARISON
|
||||
==================================================================================================
|
||||
Note: Avg Score = average quality score
|
||||
+---------------------------+--------------+-----------+
|
||||
| Scenario | Total Calls | Avg Score |
|
||||
+===========================+==============+===========+
|
||||
| Epoch1 - Train (No Memory)| 60 | 0.650 |
|
||||
+---------------------------+--------------+-----------+
|
||||
| Epoch1 - Test (No Memory) | 60 | 0.633 |
|
||||
+---------------------------+--------------+-----------+
|
||||
| Epoch1 - Test (With Memory)| 60 | 0.817 |
|
||||
+---------------------------+--------------+-----------+
|
||||
|
||||
==================================================================================================
|
||||
IMPROVEMENTS WITH TOOL MEMORY (Baseline: Test without memory)
|
||||
==================================================================================================
|
||||
Average Score : +29.07% ↑
|
||||
==================================================================================================
|
||||
```
|
||||
|
||||
## Running the Benchmark
|
||||
|
||||
### Prerequisites
|
||||
```bash
|
||||
pip install requests python-dotenv loguru tabulate
|
||||
```
|
||||
|
||||
### Start API Server
|
||||
```bash
|
||||
# Start ReMe API server
|
||||
python reme_ai/app.py --port 8002
|
||||
```
|
||||
|
||||
### Execute Benchmark
|
||||
```bash
|
||||
# Full benchmark (3 epochs, 60+60 queries per epoch)
|
||||
python cookbook/tool_memory/run_reme_tool_bench.py
|
||||
|
||||
# Quick test (3 epochs, 15+15 queries per epoch)
|
||||
# Modify main() call: main(test_mode=True, run_epoch=3)
|
||||
```
|
||||
|
||||
### Output Files
|
||||
- `tool_memory_benchmark_results.json`: Complete benchmark results
|
||||
- Console output: Real-time progress and comparison tables
|
||||
|
||||
## API Endpoints Used
|
||||
|
||||
1. **`/use_mock_search`**: Execute tool selection and search
|
||||
- Input: `workspace_id`, `query`
|
||||
- Output: `ToolCallResult` JSON
|
||||
|
||||
2. **`/add_tool_call_result`**: Add results to memory and get evaluation scores
|
||||
- Input: `workspace_id`, `tool_call_results` (list)
|
||||
- Output: `memory_list` with scored results
|
||||
|
||||
3. **`/summary_tool_memory`**: Summarize tool performance
|
||||
- Input: `workspace_id`, `tool_names` (comma-separated)
|
||||
- Output: Updated `ToolMemory` with content
|
||||
|
||||
4. **`/retrieve_tool_memory`**: Retrieve formatted tool memory
|
||||
- Input: `workspace_id`, `tool_names`
|
||||
- Output: Markdown-formatted memory content
|
||||
|
||||
5. **`/vector_store`**: Delete workspace
|
||||
- Input: `workspace_id`, `action: "delete"`
|
||||
|
||||
## Concurrency Control
|
||||
|
||||
- **Max workers**: 4 parallel queries
|
||||
- **Rate limiting**: 1 second delay between submissions
|
||||
- **Timeout**: 120 seconds per API call
|
||||
|
||||
## References
|
||||
|
||||
- Tool Memory Schema: `reme_ai/schema/memory.py`
|
||||
- Mock Tools Implementation: `reme_ai/agent/tools/mock_search_tools.py`
|
||||
- LLM-based Search Op: `reme_ai/agent/tools/llm_mock_search_op.py`
|
||||
- Tool Selection Op: `reme_ai/agent/tools/use_mock_search_op.py`
|
||||
|
|
@ -1,835 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Tool Memory
|
||||
|
||||
## 1. Background: Why Tool Memory?
|
||||
|
||||
### The MCP Tool Selection Challenge
|
||||
|
||||
In modern AI agent systems, LLMs face a rapidly expanding ecosystem of MCP (Model Context Protocol) tools. With hundreds or thousands of available tools, a critical problem emerges:
|
||||
|
||||
**The Core Problem: Tool Description is Not Enough**
|
||||
|
||||
When an LLM faces numerous MCP tools, it relies heavily on tool descriptions to decide which tool to use and how to use it. However:
|
||||
|
||||
- **Ambiguous Descriptions**: Many tools have similar descriptions but different performance characteristics
|
||||
- **Hidden Complexity**: Static descriptions can't capture runtime behaviors, edge cases, or failure patterns
|
||||
- **Parameter Confusion**: Tools may accept similar parameters with different optimal values
|
||||
- **No Quality Signal**: Descriptions don't tell you which tools are reliable, fast, or cost-effective
|
||||
|
||||
**Example: Web Search Tools**
|
||||
|
||||
Imagine an LLM choosing between three search tools:
|
||||
```
|
||||
Tool A: "Search the web for information"
|
||||
Tool B: "Perform web searches with customizable parameters"
|
||||
Tool C: "Query search engines and return results"
|
||||
```
|
||||
|
||||
The descriptions are nearly identical, but in reality:
|
||||
- Tool A: 95% success rate, avg 2.3s, best for technical queries
|
||||
- Tool B: 70% success rate, avg 5.8s, often times out with >20 results
|
||||
- Tool C: 85% success rate, avg 3.1s, good for general queries
|
||||
|
||||
**Without historical data, the LLM can't make informed decisions.**
|
||||
|
||||
### The Solution: Tool Memory as Context Enhancement
|
||||
|
||||
Tool Memory solves this by providing **learned context from historical usage**, transforming static tool descriptions into dynamic, data-driven guidance:
|
||||
|
||||
**1. Rule-Based Statistics** (Objective Metrics)
|
||||
- **Success Rate**: "This tool succeeds 92% of the time"
|
||||
- **Performance**: "Average execution time: 2.3s, token cost: 150"
|
||||
- **Usage Patterns**: "Most successful calls use max_results=10-20"
|
||||
|
||||
**2. LLM-as-Judge Evaluation** (Qualitative Insights)
|
||||
- **Quality Assessment**: LLM evaluates each call's effectiveness
|
||||
- **Pattern Recognition**: Identifies why some calls succeed and others fail
|
||||
- **Actionable Recommendations**: Synthesizes guidelines from patterns
|
||||
|
||||
**3. Enhanced Context for LLM Decision-Making**
|
||||
|
||||
Instead of just a tool description, the LLM now receives:
|
||||
|
||||
```
|
||||
Tool: web_search
|
||||
|
||||
Static Description:
|
||||
"Search the web for information"
|
||||
|
||||
+ Tool Memory Context:
|
||||
"Based on 150 historical calls:
|
||||
- Success rate: 92% (138 successful, 12 failed)
|
||||
- Avg time: 2.3s, Avg tokens: 150
|
||||
- Best for: Technical documentation, tutorials (95% success)
|
||||
- Optimal params: max_results=5-20, language='en'
|
||||
- Common failures: Generic queries timeout, max_results>50 unreliable
|
||||
- Recommendation: Use specific multi-word queries with filter_type='technical_docs'"
|
||||
```
|
||||
|
||||
This enriched context enables the LLM to:
|
||||
- **Choose the right tool** based on task requirements and reliability
|
||||
- **Use optimal parameters** learned from successful historical calls
|
||||
- **Avoid known pitfalls** that caused previous failures
|
||||
- **Estimate costs** (time and tokens) before execution
|
||||
|
||||
### The Impact: From Static Descriptions to Dynamic Intelligence
|
||||
|
||||
**Traditional Approach (Static Descriptions Only):**
|
||||
```
|
||||
LLM: "I have 50 search tools, all with similar descriptions"
|
||||
→ Random choice or first match
|
||||
→ Trial-and-error parameter selection
|
||||
→ 75% success rate, repeated failures
|
||||
```
|
||||
|
||||
**Tool Memory Approach (Description + Historical Context):**
|
||||
```
|
||||
LLM: "I have 50 search tools, but Tool A has 95% success for technical queries"
|
||||
→ Informed choice based on data
|
||||
→ Use proven parameter configurations
|
||||
→ 92% success rate, optimized performance
|
||||
```
|
||||
|
||||
**Real-World Impact:**
|
||||
|
||||
```
|
||||
Before Tool Memory:
|
||||
- Success rate: 75%
|
||||
- Average time cost: 5.2s
|
||||
- Token cost: 200+ per call
|
||||
- Repeated parameter errors
|
||||
- Random tool selection
|
||||
|
||||
After Tool Memory:
|
||||
- Success rate: 92% (+17%)
|
||||
- Average time cost: 2.8s (-46%)
|
||||
- Token cost: 150 per call (-25%)
|
||||
- Consistent best practices
|
||||
- Data-driven tool selection
|
||||
```
|
||||
|
||||
### Why This Matters for MCP Ecosystem
|
||||
|
||||
As the MCP ecosystem grows, Tool Memory becomes essential:
|
||||
|
||||
1. **Scalability**: LLMs can navigate thousands of tools with confidence
|
||||
2. **Quality Control**: Tools with poor performance get flagged automatically
|
||||
3. **Continuous Improvement**: Every call improves the knowledge base
|
||||
4. **Transfer Learning**: Insights from one agent benefit all agents in the workspace
|
||||
|
||||
**Tool Memory transforms tool descriptions from static documentation into living, learned manuals that improve with every use.**
|
||||
|
||||
## 2. What is Tool Memory?
|
||||
|
||||
Tool Memory is a structured knowledge base that captures insights from tool usage history. Each Tool Memory represents accumulated wisdom about a specific tool.
|
||||
|
||||
### Data Structure
|
||||
|
||||
#### ToolMemory
|
||||
|
||||
`ToolMemory` is the core data structure that stores comprehensive information about a tool's usage patterns:
|
||||
|
||||
```{code-cell}
|
||||
class ToolMemory(BaseMemory):
|
||||
memory_type: str = "tool" # Type identifier
|
||||
workspace_id: str # Workspace identifier
|
||||
memory_id: str # Unique memory ID
|
||||
when_to_use: str # Tool name (serves as unique identifier)
|
||||
content: str # Synthesized usage guidelines
|
||||
score: float # Overall quality score
|
||||
time_created: str # Creation timestamp
|
||||
time_modified: str # Last modification timestamp
|
||||
author: str # Creator (typically LLM model name)
|
||||
tool_call_results: List[ToolCallResult] # Historical invocation records
|
||||
metadata: dict # Additional metadata
|
||||
```
|
||||
|
||||
**Key Fields:**
|
||||
- **`when_to_use`**: The tool name, used as the unique identifier for retrieval
|
||||
- **`content`**: Human-readable usage guidelines synthesized from historical data
|
||||
- **`tool_call_results`**: Complete history of tool invocations with evaluations
|
||||
- **`score`**: Overall quality metric for the tool's performance
|
||||
|
||||
#### ToolCallResult
|
||||
|
||||
Each tool invocation is captured as a `ToolCallResult`:
|
||||
|
||||
```{code-cell}
|
||||
class ToolCallResult(BaseModel):
|
||||
create_time: str # Invocation timestamp
|
||||
tool_name: str # Name of the tool
|
||||
input: dict | str # Input parameters
|
||||
output: str # Tool output
|
||||
token_cost: int # Token consumption
|
||||
success: bool # Whether invocation succeeded
|
||||
time_cost: float # Time consumed (seconds)
|
||||
summary: str # Brief summary of the result
|
||||
evaluation: str # Detailed evaluation (generated by LLM)
|
||||
score: float # Evaluation score (0.0 for failure, 1.0 for success)
|
||||
metadata: dict # Additional metadata
|
||||
```
|
||||
|
||||
**Key Fields:**
|
||||
- **`input`/`output`**: The complete I/O data for analysis
|
||||
- **`summary`**: LLM-generated brief summary of what happened
|
||||
- **`evaluation`**: LLM-generated detailed analysis of the call quality
|
||||
- **`score`**: Binary evaluation (0.0 = failure, 1.0 = success)
|
||||
- **Performance metrics**: `time_cost`, `token_cost`, `success` for statistical analysis
|
||||
|
||||
### Tool Memory Lifecycle
|
||||
|
||||
```{mermaid}
|
||||
graph LR
|
||||
A[Tool Call] --> B[Evaluate]
|
||||
B --> C[Store Memory]
|
||||
C --> D[(Vector Store)]
|
||||
D --> E[Agent Retrieves]
|
||||
E --> A
|
||||
C -.Periodic.-> F[Summarize]
|
||||
F --> C
|
||||
```
|
||||
|
||||
## 3. How Tool Memory Works: The Complete Flow
|
||||
|
||||
Tool Memory operates through three complementary operations that work together to create a learning loop:
|
||||
|
||||
```{mermaid}
|
||||
graph LR
|
||||
A[Agent] -->|1 retrieve_tool_memory| B[(Vector Store)]
|
||||
B -->|Guidelines| A
|
||||
A -->|2 Execute Tool| C[Tool]
|
||||
C -->|Result| A
|
||||
A -->|3 add_tool_call_result| D[LLM Evaluate]
|
||||
D -->|Store| B
|
||||
B -->|Periodic| E[summary_tool_memory]
|
||||
E -->|4 Update Guidelines| B
|
||||
```
|
||||
|
||||
### Operation Flow
|
||||
|
||||
**1. retrieve_tool_memory** (Before Execution)
|
||||
- Agent queries: "How should I use `web_search` tool?"
|
||||
- Retrieves stored guidelines and historical patterns
|
||||
- Returns: Usage recommendations, parameter suggestions, common pitfalls
|
||||
|
||||
**2. Tool Execution**
|
||||
- Agent executes tool with informed parameters
|
||||
- Collects: input, output, time_cost, token_cost, success status
|
||||
|
||||
**3. add_tool_call_result** (After Execution)
|
||||
- Submits execution data for evaluation
|
||||
- LLM analyzes: Was it successful? What could be improved?
|
||||
- Generates: summary, evaluation, score (0.0 or 1.0)
|
||||
- Appends to tool's historical record in Vector Store
|
||||
|
||||
**4. summary_tool_memory** (Periodic)
|
||||
- Analyzes recent N tool calls (e.g., last 20-30)
|
||||
- Calculates statistics: success rate, avg costs, avg score
|
||||
- LLM synthesizes: Actionable usage guidelines
|
||||
- Updates the `content` field with comprehensive guidance
|
||||
|
||||
### Example Flow from Demo
|
||||
|
||||
Based on `use_tool_memory_demo.py`, here's a typical workflow:
|
||||
|
||||
```{code-cell}
|
||||
# Step 1: Add tool call results (accumulate history)
|
||||
add_tool_call_results([
|
||||
{"tool_name": "web_search", "input": {...}, "output": "...", "success": True},
|
||||
{"tool_name": "web_search", "input": {...}, "output": "...", "success": False},
|
||||
# ... more results
|
||||
])
|
||||
|
||||
# Step 2: Generate usage guidelines (periodic)
|
||||
summarize_tool_memory("web_search")
|
||||
|
||||
# Step 3: Retrieve guidelines before next use
|
||||
memory = retrieve_tool_memory("web_search")
|
||||
# Returns:
|
||||
# "For web_search tool:
|
||||
# - Use max_results=5-20 for optimal performance
|
||||
# - Avoid generic queries, be specific
|
||||
# - Language parameter 'en' has 95% success rate
|
||||
# Statistics: 83% success, avg 2.3s, avg 150 tokens"
|
||||
|
||||
# Step 4: Agent uses guidelines for better execution
|
||||
execute_with_recommended_parameters()
|
||||
```
|
||||
|
||||
## 4. Operation Details: How to Use Each Component
|
||||
|
||||
### 4.1 `add_tool_call_result`
|
||||
|
||||
**Purpose**: Evaluate and store tool call results into Tool Memory.
|
||||
|
||||
**Flow**:
|
||||
```yaml
|
||||
add_tool_call_result:
|
||||
flow_content: parse_tool_call_result_op >> update_vector_store_op
|
||||
description: "Evaluates and adds tool call results to the tool memory database"
|
||||
```
|
||||
|
||||
**Process**:
|
||||
1. Receives raw tool call results
|
||||
2. Uses LLM to evaluate each call (generates summary, evaluation, score)
|
||||
3. Groups results by tool name
|
||||
4. Creates or updates ToolMemory objects
|
||||
5. Stores in Vector Store
|
||||
|
||||
**Configuration** (`default.yaml`):
|
||||
```yaml
|
||||
op:
|
||||
parse_tool_call_result_op:
|
||||
backend: parse_tool_call_result_op
|
||||
llm: default
|
||||
params:
|
||||
max_history_tool_call_cnt: 100 # Max calls to retain per tool
|
||||
evaluation_sleep_interval: 1.0 # Delay between evaluations (seconds)
|
||||
```
|
||||
|
||||
#### Usage with curl
|
||||
|
||||
```bash
|
||||
curl -X POST http://0.0.0.0:8002/add_tool_call_result \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {
|
||||
"query": "Python asyncio tutorial",
|
||||
"max_results": 10,
|
||||
"language": "en"
|
||||
},
|
||||
"output": "Found 10 relevant results including official docs and tutorials",
|
||||
"token_cost": 150,
|
||||
"success": true,
|
||||
"time_cost": 2.3
|
||||
},
|
||||
{
|
||||
"create_time": "2025-10-21 10:32:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {
|
||||
"query": "test",
|
||||
"max_results": 100,
|
||||
"language": "unknown"
|
||||
},
|
||||
"output": "Error: Invalid language parameter",
|
||||
"token_cost": 50,
|
||||
"success": false,
|
||||
"time_cost": 0.5
|
||||
}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
**Response**:
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"answer": "Successfully evaluated and stored 2 tool call results",
|
||||
"metadata": {
|
||||
"memory_list": [
|
||||
{
|
||||
"when_to_use": "web_search",
|
||||
"memory_id": "abc123...",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"tool_name": "web_search",
|
||||
"summary": "Successfully retrieved relevant Python asyncio documentation",
|
||||
"evaluation": "Good parameter choices with appropriate max_results and language settings",
|
||||
"score": 1.0,
|
||||
...
|
||||
},
|
||||
{
|
||||
"tool_name": "web_search",
|
||||
"summary": "Failed due to invalid language parameter",
|
||||
"evaluation": "Query too generic and language parameter not supported",
|
||||
"score": 0.0,
|
||||
...
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Usage with Python
|
||||
|
||||
```{code-cell}
|
||||
import requests
|
||||
from datetime import datetime
|
||||
|
||||
def add_tool_call_results(tool_call_results: list) -> dict:
|
||||
"""Add tool call results to Tool Memory"""
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}add_tool_call_result",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"tool_call_results": tool_call_results
|
||||
}
|
||||
)
|
||||
return response.json()
|
||||
|
||||
# Example: Record a tool invocation
|
||||
result = add_tool_call_results([{
|
||||
"create_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio", "max_results": 10},
|
||||
"output": "Found 10 relevant results...",
|
||||
"token_cost": 150,
|
||||
"success": True,
|
||||
"time_cost": 2.3
|
||||
}])
|
||||
```
|
||||
|
||||
**Complete examples**: See `cookbook/simple_demo/use_tool_memory_demo.py` for full working code.
|
||||
|
||||
---
|
||||
|
||||
### 4.2 `retrieve_tool_memory`
|
||||
|
||||
**Purpose**: Retrieve usage guidelines and historical data for specific tools.
|
||||
|
||||
**Flow**:
|
||||
```yaml
|
||||
retrieve_tool_memory:
|
||||
flow_content: retrieve_tool_memory_op
|
||||
description: "Retrieves tool memories from the vector database based on tool names"
|
||||
```
|
||||
|
||||
**Process**:
|
||||
1. Takes comma-separated tool names as input
|
||||
2. Searches Vector Store for exact matches (by `when_to_use` field)
|
||||
3. Returns complete ToolMemory objects with:
|
||||
- Usage guidelines (`content`)
|
||||
- Historical call records (`tool_call_results`)
|
||||
- Statistics and metadata
|
||||
|
||||
#### Usage with curl
|
||||
|
||||
```bash
|
||||
# Retrieve single tool
|
||||
curl -X POST http://0.0.0.0:8002/retrieve_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
|
||||
# Retrieve multiple tools (comma-separated)
|
||||
curl -X POST http://0.0.0.0:8002/retrieve_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"tool_names": "web_search,database_query,file_processor"
|
||||
}'
|
||||
```
|
||||
|
||||
**Response**:
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"answer": "Successfully retrieved 1 tool memories",
|
||||
"metadata": {
|
||||
"memory_list": [
|
||||
{
|
||||
"memory_type": "tool",
|
||||
"workspace_id": "my_workspace",
|
||||
"memory_id": "abc123...",
|
||||
"when_to_use": "web_search",
|
||||
"content": "## Usage Guidelines\n\n**Best Practices:**\n- Use max_results between 5-20 for optimal performance\n- Always specify language parameter (en has 95% success rate)\n- Avoid generic single-word queries\n\n**Common Pitfalls:**\n- max_results > 50 often causes timeouts\n- Unknown language values default to 'en' with warning\n\n## Statistics\n- **Success Rate**: 83.33%\n- **Average Score**: 0.833\n- **Average Time Cost**: 2.345s\n- **Average Token Cost**: 156.7",
|
||||
"score": 0.85,
|
||||
"time_created": "2025-10-20 10:00:00",
|
||||
"time_modified": "2025-10-21 10:35:00",
|
||||
"author": "gpt-4",
|
||||
"tool_call_results": [
|
||||
{
|
||||
"create_time": "2025-10-21 10:30:00",
|
||||
"tool_name": "web_search",
|
||||
"input": {"query": "Python asyncio", "max_results": 10},
|
||||
"output": "Found 10 results...",
|
||||
"summary": "Successfully retrieved relevant documentation",
|
||||
"evaluation": "Good parameter choices...",
|
||||
"score": 1.0,
|
||||
"token_cost": 150,
|
||||
"success": true,
|
||||
"time_cost": 2.3
|
||||
}
|
||||
// ... more historical calls
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Usage with Python
|
||||
|
||||
```{code-cell}
|
||||
import requests
|
||||
|
||||
def retrieve_tool_memory(tool_names: str) -> dict:
|
||||
"""Retrieve tool memories by tool names"""
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}retrieve_tool_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"tool_names": tool_names
|
||||
}
|
||||
)
|
||||
return response.json()
|
||||
|
||||
# Example: Retrieve and use guidelines
|
||||
result = retrieve_tool_memory("web_search")
|
||||
if result['success']:
|
||||
memory = result['metadata']['memory_list'][0]
|
||||
print(f"Tool: {memory['when_to_use']}")
|
||||
print(f"Guidelines:\n{memory['content']}")
|
||||
```
|
||||
|
||||
**Complete examples**: See `cookbook/simple_demo/use_tool_memory_demo.py` for full working code.
|
||||
|
||||
---
|
||||
|
||||
### 4.3 `summary_tool_memory`
|
||||
|
||||
**Purpose**: Analyze historical tool calls and generate comprehensive usage guidelines.
|
||||
|
||||
**Flow**:
|
||||
```yaml
|
||||
summary_tool_memory:
|
||||
flow_content: summary_tool_memory_op >> update_vector_store_op
|
||||
description: "Analyzes tool call history and generates comprehensive usage patterns"
|
||||
```
|
||||
|
||||
**Process**:
|
||||
1. Retrieves existing ToolMemory by tool name
|
||||
2. Analyzes recent N tool calls (default: 30)
|
||||
3. Calculates statistics:
|
||||
- Success rate
|
||||
- Average score
|
||||
- Average time cost
|
||||
- Average token cost
|
||||
4. Uses LLM to synthesize actionable guidelines from call summaries
|
||||
5. Appends statistics to guidelines
|
||||
6. Updates ToolMemory content in Vector Store
|
||||
|
||||
**Configuration** (`default.yaml`):
|
||||
```yaml
|
||||
op:
|
||||
summary_tool_memory_op:
|
||||
backend: summary_tool_memory_op
|
||||
llm: default
|
||||
params:
|
||||
recent_call_count: 30 # Number of recent calls to analyze
|
||||
summary_sleep_interval: 1.0 # Delay between summaries (seconds)
|
||||
```
|
||||
|
||||
#### Usage with curl
|
||||
|
||||
```bash
|
||||
# Summarize single tool
|
||||
curl -X POST http://0.0.0.0:8002/summary_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"tool_names": "web_search"
|
||||
}'
|
||||
|
||||
# Summarize multiple tools (comma-separated)
|
||||
curl -X POST http://0.0.0.0:8002/summary_tool_memory \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"tool_names": "web_search,database_query,file_processor"
|
||||
}'
|
||||
```
|
||||
|
||||
**Response**:
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"answer": "Successfully summarized 1 tool memories",
|
||||
"metadata": {
|
||||
"memory_list": [
|
||||
{
|
||||
"memory_type": "tool",
|
||||
"when_to_use": "web_search",
|
||||
"content": "## Usage Guidelines\n\n**Optimal Parameters:**\n- Set max_results between 5-20 for best balance of coverage and speed\n- Always specify language='en' for technical queries (95% success rate)\n- Use filter_type='technical_docs' for development-related searches\n\n**Success Patterns:**\n- Specific, multi-word queries perform significantly better than generic terms\n- Queries with clear intent (e.g., 'Python asyncio tutorial') return high-quality results\n- Technical terms and version numbers improve result relevance\n\n**Common Failures:**\n- Generic single-word queries (e.g., 'test') return poor results\n- max_results > 50 increases timeout risk (5 failures observed)\n- Invalid language codes cause fallback to default with warnings\n\n**Performance Insights:**\n- Typical response time: 1.5-3.5s for successful queries\n- Timeout threshold: 10s (consider simplifying complex queries)\n- Token cost scales with result count: ~150 tokens for 10 results\n\n**Recommendations:**\n1. Always validate language parameter before calling\n2. Start with max_results=10, adjust based on needs\n3. For time-sensitive operations, set timeout < 5s\n4. Monitor token costs for high-frequency usage\n\n## Statistics\n- **Success Rate**: 83.33%\n- **Average Score**: 0.833\n- **Average Time Cost**: 2.345s\n- **Average Token Cost**: 156.7",
|
||||
"memory_id": "abc123...",
|
||||
"time_modified": "2025-10-21 10:40:00",
|
||||
...
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Usage with Python
|
||||
|
||||
```{code-cell}
|
||||
import requests
|
||||
|
||||
def summarize_tool_memory(tool_names: str) -> dict:
|
||||
"""Generate comprehensive usage guidelines for tools"""
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}summary_tool_memory",
|
||||
json={
|
||||
"workspace_id": WORKSPACE_ID,
|
||||
"tool_names": tool_names
|
||||
}
|
||||
)
|
||||
return response.json()
|
||||
|
||||
# Example: Generate guidelines
|
||||
result = summarize_tool_memory("web_search")
|
||||
if result['success']:
|
||||
memory = result['metadata']['memory_list'][0]
|
||||
print(f"Tool: {memory['when_to_use']}")
|
||||
print(f"Guidelines:\n{memory['content']}")
|
||||
```
|
||||
|
||||
**Complete examples**: See `cookbook/simple_demo/use_tool_memory_demo.py` for full working code.
|
||||
|
||||
---
|
||||
|
||||
## 5. Best Practices
|
||||
|
||||
### When to Record Tool Calls
|
||||
- **Always**: Record every tool invocation, including failures
|
||||
- **Include**: Complete input parameters, output, and performance metrics
|
||||
- **Timing**: Record immediately after tool execution completes
|
||||
|
||||
### When to Generate Summaries
|
||||
- **Initial**: After accumulating 20-30 tool calls for meaningful patterns
|
||||
- **Periodic**: Re-summarize every 50-100 new calls or weekly
|
||||
- **Trigger-based**: When success rate drops or patterns change significantly
|
||||
|
||||
### When to Retrieve Guidelines
|
||||
- **Before first use**: Always retrieve before using an unfamiliar tool
|
||||
- **Before critical operations**: Check latest guidelines for important tasks
|
||||
- **After updates**: Re-retrieve when tool memory has been updated
|
||||
|
||||
### Performance Tuning
|
||||
|
||||
**For High-Volume Tools** (>100 calls/day):
|
||||
```yaml
|
||||
op:
|
||||
parse_tool_call_result_op:
|
||||
params:
|
||||
max_history_tool_call_cnt: 200 # Keep more history
|
||||
evaluation_sleep_interval: 0.5 # Faster evaluation
|
||||
|
||||
summary_tool_memory_op:
|
||||
params:
|
||||
recent_call_count: 50 # Analyze more calls
|
||||
```
|
||||
|
||||
**For Low-Volume Tools** (<20 calls/day):
|
||||
```yaml
|
||||
op:
|
||||
parse_tool_call_result_op:
|
||||
params:
|
||||
max_history_tool_call_cnt: 50 # Less history needed
|
||||
evaluation_sleep_interval: 1.0 # Standard rate
|
||||
|
||||
summary_tool_memory_op:
|
||||
params:
|
||||
recent_call_count: 20 # Analyze fewer calls
|
||||
```
|
||||
|
||||
### Quality Maintenance
|
||||
|
||||
1. **Monitor Metrics**:
|
||||
```{code-cell}
|
||||
memory = retrieve_tool_memory("web_search")['metadata']['memory_list'][0]
|
||||
stats = ToolMemory(**memory).statistic(recent_frequency=30)
|
||||
|
||||
print(f"Success Rate: {stats['success_rate']:.2%}")
|
||||
print(f"Avg Score: {stats['avg_score']:.2f}")
|
||||
|
||||
if stats['success_rate'] < 0.7:
|
||||
print("⚠️ Low success rate - investigate tool issues")
|
||||
```
|
||||
|
||||
2. **Clean Old Memories**:
|
||||
- Delete tool memories for deprecated tools
|
||||
- Reset memories when tool behavior changes significantly
|
||||
|
||||
3. **Validate Guidelines**:
|
||||
- Periodically review generated guidelines for accuracy
|
||||
- Test recommended parameters in production scenarios
|
||||
|
||||
## 6. Memory Management
|
||||
|
||||
### Delete Workspace
|
||||
```bash
|
||||
curl -X POST http://0.0.0.0:8002/vector_store \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"action": "delete"
|
||||
}'
|
||||
```
|
||||
|
||||
```{code-cell}
|
||||
def delete_workspace(workspace_id: str):
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={"workspace_id": workspace_id, "action": "delete"}
|
||||
)
|
||||
return response.json()
|
||||
```
|
||||
|
||||
### Dump Memories to Disk
|
||||
```bash
|
||||
curl -X POST http://0.0.0.0:8002/vector_store \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"action": "dump",
|
||||
"path": "./memory_backup/"
|
||||
}'
|
||||
```
|
||||
|
||||
```{code-cell}
|
||||
def dump_memory(workspace_id: str, path: str = "./"):
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={"workspace_id": workspace_id, "action": "dump", "path": path}
|
||||
)
|
||||
return response.json()
|
||||
```
|
||||
|
||||
### Load Memories from Disk
|
||||
```bash
|
||||
curl -X POST http://0.0.0.0:8002/vector_store \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"workspace_id": "my_workspace",
|
||||
"action": "load",
|
||||
"path": "./memory_backup/"
|
||||
}'
|
||||
```
|
||||
|
||||
```{code-cell}
|
||||
def load_memory(workspace_id: str, path: str = "./"):
|
||||
response = requests.post(
|
||||
url=f"{BASE_URL}vector_store",
|
||||
json={"workspace_id": workspace_id, "action": "load", "path": path}
|
||||
)
|
||||
return response.json()
|
||||
```
|
||||
|
||||
## 7. Complete Working Example
|
||||
|
||||
For a complete, runnable example demonstrating the full Tool Memory lifecycle, see:
|
||||
|
||||
**`cookbook/simple_demo/use_tool_memory_demo.py`**
|
||||
|
||||
This demo includes:
|
||||
- **Workspace management**: Clean, delete, dump, and load operations
|
||||
- **Tool call recording**: Adding 30+ mock tool invocations with various scenarios
|
||||
- **Summarization**: Generating usage guidelines from historical data
|
||||
- **Retrieval**: Fetching and displaying tool memories
|
||||
- **Statistics**: Analyzing success rates, costs, and performance
|
||||
|
||||
Run the demo:
|
||||
```bash
|
||||
cd cookbook/simple_demo
|
||||
python use_tool_memory_demo.py
|
||||
```
|
||||
|
||||
**Key Workflow Steps:**
|
||||
1. **Clean workspace**: Remove existing data
|
||||
2. **Add tool calls**: Record 30+ invocations (success/failure scenarios)
|
||||
3. **Generate guidelines**: LLM analyzes patterns and creates recommendations
|
||||
4. **Retrieve memory**: Get usage guidelines for agent consumption
|
||||
5. **Persistence**: Test dump/load operations
|
||||
|
||||
## 8. Advanced Use Cases
|
||||
|
||||
### Use Case 1: Adaptive Parameter Tuning
|
||||
|
||||
Retrieve tool memory statistics and adapt parameters based on historical performance:
|
||||
- If `avg_time_cost > 5s`: Increase timeout
|
||||
- If `success_rate < 80%`: Enable retry logic
|
||||
- If `avg_token_cost` high: Reduce result limits
|
||||
|
||||
### Use Case 2: Multi-Tool Workflow Optimization
|
||||
|
||||
Retrieve memories for multiple tools at once and optimize workflow order based on:
|
||||
- Success rates: Execute reliable tools first
|
||||
- Time costs: Parallelize slow operations
|
||||
- Token costs: Budget-aware tool selection
|
||||
|
||||
### Use Case 3: Automated Quality Monitoring
|
||||
|
||||
Periodically check tool memory statistics and alert on:
|
||||
- Success rate degradation
|
||||
- Increasing time/token costs
|
||||
- Unusual failure patterns
|
||||
|
||||
**Implementation examples**: See `cookbook/simple_demo/use_tool_memory_demo.py` and the ToolBench evaluation scripts.
|
||||
|
||||
## 9. Benchmark Results
|
||||
|
||||
### Tool Memory Performance Evaluation
|
||||
|
||||
We evaluated Tool Memory effectiveness using a controlled benchmark with three mock search tools, each optimized for different query complexity levels (simple, moderate, complex). The benchmark compares agent performance with and without tool memory guidance across multiple epochs.
|
||||
|
||||
**Experimental Settings:**
|
||||
- **Model**: Qwen3-30B-Instruct with default parameters
|
||||
- **Task**: Single-turn tool selection and invocation
|
||||
- **Dataset**: 60 training queries + 60 test queries per epoch
|
||||
- **Tools**: 3 mock search tools with varying performance profiles
|
||||
- **Metrics**: Average quality score (0.0-1.0) based on LLM evaluation
|
||||
- **Baseline**: Test set performance without tool memory
|
||||
- **Replication**: Results averaged across 3 independent experimental runs
|
||||
|
||||
**Results (averaged across 3 epochs):**
|
||||
|
||||
| Scenario | Avg Score | Improvement |
|
||||
|----------|-----------|-------------|
|
||||
| Train (No Memory) | 0.650 | - |
|
||||
| Test (No Memory) | 0.672 | Baseline |
|
||||
| **Test (With Memory)** | **0.772** | **+14.88%** |
|
||||
|
||||
**Key Findings:**
|
||||
- **Consistent improvement**: Tool Memory boosted test performance by ~15% on average
|
||||
- **Knowledge transfer**: Training data successfully informed test-time tool selection
|
||||
- **Stability**: Improvement remained consistent across all 3 epochs (9.90% → 17.39% → 17.13%)
|
||||
|
||||
The benchmark demonstrates that Tool Memory enables agents to make data-driven tool selection decisions, significantly improving task success rates compared to relying solely on static tool descriptions.
|
||||
|
||||
**Benchmark Resources:**
|
||||
- **Design Documentation**: [`docs/tool_memory/tool_bench.md`](tool_bench.md) - Complete benchmark methodology and workflow
|
||||
- **Implementation**: [`cookbook/tool_memory/run_reme_tool_bench.py`](../../cookbook/tool_memory/run_reme_tool_bench.py) - Full benchmark script
|
||||
- **Query Dataset**: [`cookbook/tool_memory/query.json`](../../cookbook/tool_memory/query.json) - 60 train + 60 test queries across 3 complexity levels
|
||||
|
||||
---
|
||||
|
||||
## 10. References
|
||||
|
||||
- **Implementation**: See `reme_ai/summary/tool/` and `reme_ai/retrieve/tool/`
|
||||
- **Demo**: `cookbook/simple_demo/use_tool_memory_demo.py`
|
||||
- **Benchmark**: `cookbook/tool_memory/run_reme_tool_bench.py`
|
||||
- **Schema**: `reme_ai/schema/memory.py`
|
||||
- **Utilities**: `reme_ai/utils/tool_memory_utils.py`
|
||||
|
|
@ -1,19 +0,0 @@
|
|||
# Tool Memory Retrieval Ops
|
||||
|
||||
## RetrieveToolMemoryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Retrieves tool memories from the vector database based on tool names, providing usage patterns, best practices, and historical call data.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Accepts comma-separated tool names as input
|
||||
- Searches the vector store for exact tool name matches
|
||||
- Validates that retrieved memories are of type "tool"
|
||||
- Returns complete tool memories including usage guidelines and call history
|
||||
|
||||
### Parameters
|
||||
|
||||
This operation has no configurable parameters. It uses the default vector store configuration.
|
||||
|
||||
|
|
@ -1,93 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Tool Memory Summary Ops
|
||||
|
||||
## ParseToolCallResultOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Evaluates individual tool invocations and adds them to the tool memory database with comprehensive assessments.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Receives tool call results with input parameters, output, and metadata
|
||||
- Uses LLM to evaluate each tool call based on success and parameter alignment
|
||||
- Generates summary, evaluation, and score (0.0 or 1.0) for each call
|
||||
- Appends evaluated results to existing tool memory or creates new memory
|
||||
- Maintains a sliding window of recent tool calls (configurable limit)
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.parse_tool_call_result_op.params.max_history_tool_call_cnt` (integer, default: `100`):
|
||||
- Maximum number of historical tool call results to retain per tool
|
||||
- When exceeded, oldest results are removed (FIFO)
|
||||
|
||||
- `op.parse_tool_call_result_op.params.evaluation_sleep_interval` (float, default: `1.0`):
|
||||
- Delay in seconds between concurrent evaluations
|
||||
- Prevents rate limiting when evaluating multiple calls
|
||||
|
||||
## SummaryToolMemoryOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Analyzes accumulated tool call history and generates comprehensive usage patterns, best practices, and recommendations.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Retrieves existing tool memories from the vector store
|
||||
- **Intelligently skips tools** where all recent calls have already been summarized (using `is_summarized` flag)
|
||||
- Analyzes the most recent N tool calls (configurable)
|
||||
- Calculates statistical metrics (success rate, average scores, costs)
|
||||
- Uses LLM to synthesize actionable usage guidelines
|
||||
- Updates tool memory content with generated insights
|
||||
- **Marks processed calls** as summarized to avoid redundant processing in future runs
|
||||
|
||||
### Smart Skip Logic
|
||||
|
||||
To optimize costs and performance, `SummaryToolMemoryOp` tracks which tool call results have been included in a summary:
|
||||
|
||||
- **Skip Condition**: If all recent N calls are already summarized (`is_summarized=True`), the tool is skipped entirely
|
||||
- **Trigger Condition**: If at least 1 recent call is new (`is_summarized=False`), re-summarization is triggered
|
||||
- **Automatic Marking**: After successful summarization, all processed calls are marked with `is_summarized=True`
|
||||
|
||||
**Example Behavior**:
|
||||
```
|
||||
Run 1: 30 new calls → Summarize all 30, mark as summarized
|
||||
Run 2: Same 30 calls → Skip (all already summarized) ✓ Cost savings
|
||||
Run 3: 30 old + 1 new → Re-summarize all 31, mark new call as summarized
|
||||
```
|
||||
|
||||
This ensures summaries stay fresh while avoiding unnecessary LLM calls.
|
||||
|
||||
### Parameters
|
||||
|
||||
- `op.summary_tool_memory_op.params.recent_call_count` (integer, default: `30`):
|
||||
- Number of most recent tool calls to analyze
|
||||
- Also determines the window for checking summarization status
|
||||
- Focuses on recent usage patterns
|
||||
|
||||
- `op.summary_tool_memory_op.params.summary_sleep_interval` (float, default: `1.0`):
|
||||
- Delay in seconds between concurrent summarizations
|
||||
- Prevents rate limiting when summarizing multiple tools
|
||||
|
||||
### Return Value
|
||||
|
||||
The operation returns a response message indicating:
|
||||
- Number of tools summarized (had new unsummarized calls)
|
||||
- Number of tools skipped (all recent calls already summarized)
|
||||
|
||||
Example: `"Successfully processed 5 tool memories: 2 summarized, 3 skipped (already up-to-date)"`
|
||||
|
||||
|
||||
|
|
@ -1,494 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
### Vector Store User Guide
|
||||
|
||||
Vector Store is a component designed for storing, managing, and retrieving vector embeddings. It supports features such as workspace management, similarity search, and metadata filtering.
|
||||
|
||||
## Core Concepts
|
||||
|
||||
**Workspace**: Each workspace is an independent vector storage unit used to organize and manage related vector nodes.
|
||||
|
||||
**VectorNode**: A data unit containing text content, vector embedding, and metadata. It serves as the fundamental unit for storage and retrieval.
|
||||
|
||||
**Embedding Model**: Used to convert text into vector embeddings. It supports automatic generation of both node vectors and query vectors.
|
||||
|
||||
## Available Implementations
|
||||
|
||||
FlowLLM provides multiple Vector Store implementations tailored to different use cases:
|
||||
|
||||
- **LocalVectorStore** ([source code](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/local_vector_store.py)): A file-based local implementation that persists data in JSONL format. Suitable for single-machine deployments and small-scale datasets.
|
||||
- **MemoryVectorStore** ([source code](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/memory_vector_store.py)): An in-memory implementation offering fast access speeds. Ideal for temporary data or testing scenarios.
|
||||
- **QdrantVectorStore** ([source code](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/qdrant_vector_store.py)): Built on the Qdrant vector database, supporting high-performance vector search. Recommended for large-scale production environments.
|
||||
- **ChromaVectorStore** ([source code](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/chroma_vector_store.py)): Based on ChromaDB, providing persistent storage and metadata filtering capabilities.
|
||||
- **EsVectorStore** ([source code](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/es_vector_store.py)): Built on Elasticsearch, enabling powerful combined full-text and vector search functionalities.
|
||||
- **ObVecVectorStore** ([source code](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/obvec_vector_store.py)): Uses [pyobvector](https://pypi.org/project/pyobvector/) against **OceanBase** or **seekdb** (MySQL-compatible wire protocol). Suitable when you already run OceanBase/seekdb or need a SQL-native vector table with HNSW-style ANN search and JSON metadata filters.
|
||||
- **HologresVectorStore** ([source code](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/hologres_store.py)): Uses [asyncpg](https://pypi.org/project/asyncpg/) against **Hologres** (PostgreSQL-compatible). Leverages native `float4[]` vector storage with built-in HGraph index for approximate nearest neighbor search. Suitable when you already run Hologres or need high-performance vector search with JSONB metadata filtering in a PostgreSQL-compatible environment.
|
||||
- **ZvecVectorStore** ([source code](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/zvec_vector_store.py)): Built on zvec, a high-performance local vector database with strong-schema support and HNSW indexing. Suitable for single-machine deployments requiring fast vector search.
|
||||
|
||||
All Vector Store implementations inherit from **BaseVectorStore** ([source code](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/base_vector_store.py)) in ReMe, ensuring a consistent interface specification.
|
||||
|
||||
## Core Features
|
||||
|
||||
### Workspace Management
|
||||
|
||||
- **Create Workspace**: Create a new workspace for storing vector nodes.
|
||||
- **Delete Workspace**: Remove a workspace along with all its data.
|
||||
- **Check Workspace Existence**: Verify whether a specified workspace exists.
|
||||
- **List Workspaces**: Retrieve a list of all existing workspaces.
|
||||
- **Copy Workspace**: Duplicate data from one workspace to another.
|
||||
|
||||
### Node Operations
|
||||
|
||||
- **Insert Nodes**: Insert vector nodes into a workspace, supporting single or batch insertion with automatic vector embedding generation.
|
||||
- **Delete Nodes**: Remove specific nodes by their IDs.
|
||||
- **Iterate Nodes**: Traverse all nodes within a workspace.
|
||||
|
||||
### Vector Search
|
||||
|
||||
- **Similarity Search**: Perform vector similarity searches based on text queries, returning the top-K most similar results.
|
||||
- **Metadata Filtering**: Apply filtering conditions based on metadata, including exact matches and range queries.
|
||||
- **Similarity Scores**: Search results include similarity scores to evaluate match quality.
|
||||
|
||||
### Data Import/Export
|
||||
|
||||
- **Export Workspace**: Export workspace data to a file or specified path.
|
||||
- **Import Workspace**: Import data into a workspace from a file or a list of nodes.
|
||||
- **Callback Functions**: Support callback functions during import/export for data transformation.
|
||||
|
||||
## Synchronous and Asynchronous Interfaces
|
||||
|
||||
All Vector Store implementations provide both synchronous and asynchronous interfaces:
|
||||
|
||||
- **Synchronous Interface**: Direct method calls suitable for synchronous code environments.
|
||||
- **Asynchronous Interface**: Prefixed with `async_`, designed for asynchronous environments and offering better concurrency performance.
|
||||
|
||||
The asynchronous interface is particularly useful in the following scenarios:
|
||||
- Using asynchronous embedding models for vector generation.
|
||||
- Performing batch operations in high-concurrency environments.
|
||||
- Integrating with other asynchronous components.
|
||||
|
||||
## Configuration Options
|
||||
|
||||
### General Configuration
|
||||
|
||||
- **embedding_model**: Instance of the embedding model used to generate vector embeddings.
|
||||
- **batch_size**: Batch size for bulk operations (default: 1024).
|
||||
|
||||
### LocalVectorStore Configuration
|
||||
|
||||
- **store_dir**: Storage directory path (default: `./local_vector_store`).
|
||||
|
||||
### MemoryVectorStore Configuration
|
||||
|
||||
- **store_dir**: Persistence directory (default: `./memory_vector_store`).
|
||||
|
||||
### QdrantVectorStore Configuration
|
||||
|
||||
- **url**: Qdrant service URL (optional; used for Qdrant Cloud or custom deployments).
|
||||
- **host**: Qdrant server host (default: `localhost`).
|
||||
- **port**: Qdrant server port (default: `6333`).
|
||||
- **api_key**: API key for Qdrant Cloud authentication.
|
||||
- **distance**: Distance metric—supports COSINE, EUCLIDEAN, DOT (default: COSINE).
|
||||
|
||||
### ChromaVectorStore Configuration
|
||||
|
||||
- **store_dir**: ChromaDB data storage directory (default: `./chroma_vector_store`).
|
||||
|
||||
### EsVectorStore Configuration
|
||||
|
||||
- **hosts**: Elasticsearch host address(es), either a string or a list (default: `http://localhost:9200`).
|
||||
- **basic_auth**: Basic authentication credentials (username and password).
|
||||
|
||||
### ObVecVectorStore Configuration
|
||||
|
||||
- **uri**: Server address as `host:port` (default: `127.0.0.1:2881`).
|
||||
- **user**: MySQL-compatible user. seekdb single-tenant images often use `root`; OceanBase multi-tenant setups typically use `root@<tenant>` (e.g. `root@test`).
|
||||
- **password**: Database password (seekdb Docker images commonly set this via `ROOT_PASSWORD`).
|
||||
- **database**: Logical database name (default: `test`).
|
||||
- **index_metric**: Distance metric for the vector index: `cosine` or `ip` (inner product); default `cosine`.
|
||||
- **index_ef_search**: HNSW `ef_search` parameter passed to pyobvector (default: `100`).
|
||||
- **collection_name**: Table name for the collection (from `VectorStoreConfig`, default `reme`). Use lowercase names if your deployment restricts identifiers.
|
||||
|
||||
**Local seekdb via Docker**
|
||||
|
||||
```text
|
||||
docker run -d --name reme_seekdb -p 2881:2881 -e ROOT_PASSWORD=<your_root_password> quay.io/oceanbase/seekdb:latest
|
||||
```
|
||||
|
||||
**Integration tests** (requires a running server, embedding API credentials in `.env`, and matching DB password):
|
||||
|
||||
```shell
|
||||
OBVEC_PASSWORD=<your_root_password> python tests/test_vector_store.py --obvec
|
||||
```
|
||||
### ZvecVectorStore Configuration
|
||||
|
||||
- **db_path**: Local storage path for persistent mode (required).
|
||||
- **dimension**: Dimensionality of the embedding vectors (default: `1024`).
|
||||
- **distance**: Distance metric — supports `cosine`, `l2`, `ip` (default: `cosine`).
|
||||
|
||||
### HologresVectorStore Configuration
|
||||
|
||||
- **host**: Hologres host address (default: `localhost`).
|
||||
- **port**: Hologres port (default: `80`).
|
||||
- **database**: Database name (default: `postgres`).
|
||||
- **user**: Database user (default: `postgres`).
|
||||
- **password**: Database password.
|
||||
- **schema**: PostgreSQL schema name (default: `public`).
|
||||
- **min_size**: Minimum connections in pool (default: `1`).
|
||||
- **max_size**: Maximum connections in pool (default: `10`).
|
||||
- **dsn**: Full DSN connection string. When provided, overrides `host`, `port`, `database`, `user`, and `password`.
|
||||
- **distance_method**: Distance method for the HGraph index: `Cosine`, `InnerProduct`, or `Euclidean` (default: `Cosine`).
|
||||
- **collection_name**: Table name for the collection (from `VectorStoreConfig`, default `reme`).
|
||||
|
||||
## Configuration File Examples
|
||||
|
||||
Configure Vector Store in `flowllm/config/default.yaml` under the `vector_store` section. The basic structure is as follows:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: <backend_name> # Required: vector store backend type
|
||||
embedding_model: default # Required: name of embedding model config
|
||||
params: # Optional: backend-specific parameters
|
||||
# Backend-specific parameters
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=<backend_name>
|
||||
vector_store.default.params.<param_name>=<param_value>
|
||||
```
|
||||
|
||||
### Configuration Field Descriptions
|
||||
|
||||
- **`backend`** (required): Vector store backend type. Options: `local`, `memory`, `chroma`, `qdrant`, `elasticsearch`, `obvec`, `zvec`, `hologres`.
|
||||
- **`embedding_model`** (required): Name of the embedding model configuration, referencing the `embedding_model` section.
|
||||
- **`params`** (optional): Dictionary of backend-specific parameters passed to the vector store constructor.
|
||||
|
||||
### Configuration Examples by Type
|
||||
|
||||
#### 1. LocalVectorStore Configuration
|
||||
|
||||
Simplest local file-based storage, ideal for development and testing.
|
||||
|
||||
**Implementation**: [`flowllm/core/vector_store/local_vector_store.py`](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/local_vector_store.py)
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: local
|
||||
embedding_model: default
|
||||
params:
|
||||
store_dir: "./local_vector_store" # Storage directory (optional; default: "./local_vector_store")
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=local
|
||||
vector_store.default.params.store_dir=./local_vector_store
|
||||
```
|
||||
|
||||
#### 2. MemoryVectorStore Configuration
|
||||
|
||||
In-memory storage with fast access, suitable for temporary data or testing.
|
||||
|
||||
**Implementation**: [`flowllm/core/vector_store/memory_vector_store.py`](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/memory_vector_store.py)
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: memory
|
||||
embedding_model: default
|
||||
params:
|
||||
store_dir: "./memory_vector_store" # Persistence directory (optional; default: "./memory_vector_store")
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=memory
|
||||
vector_store.default.params.store_dir=./memory_vector_store
|
||||
```
|
||||
|
||||
#### 3. ChromaVectorStore Configuration
|
||||
|
||||
Persistent storage based on ChromaDB with metadata filtering support.
|
||||
|
||||
**Implementation**: [`flowllm/core/vector_store/chroma_vector_store.py`](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/chroma_vector_store.py)
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: chroma
|
||||
embedding_model: default
|
||||
params:
|
||||
store_dir: "./chroma_vector_store" # ChromaDB data directory (optional; default: "./chroma_vector_store")
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=chroma
|
||||
vector_store.default.params.store_dir=./chroma_vector_store
|
||||
```
|
||||
|
||||
#### 4. QdrantVectorStore Configuration
|
||||
|
||||
**Implementation**: [`flowllm/core/vector_store/qdrant_vector_store.py`](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/qdrant_vector_store.py)
|
||||
|
||||
**Local Qdrant Instance**:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: qdrant
|
||||
embedding_model: default
|
||||
params:
|
||||
host: "localhost" # Qdrant server host (optional; default: localhost)
|
||||
port: 6333 # Qdrant server port (optional; default: 6333)
|
||||
distance: "COSINE" # Distance metric (optional; default: COSINE; options: COSINE, EUCLIDEAN, DOT)
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=qdrant
|
||||
vector_store.default.params.host=localhost
|
||||
vector_store.default.params.port=6333
|
||||
vector_store.default.params.distance=COSINE
|
||||
```
|
||||
|
||||
**Qdrant Cloud Configuration**:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: qdrant
|
||||
embedding_model: default
|
||||
params:
|
||||
url: "https://your-cluster.qdrant.io:6333" # Qdrant Cloud URL
|
||||
api_key: "your-api-key-here" # API key
|
||||
distance: "COSINE"
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=qdrant
|
||||
vector_store.default.params.url=https://your-cluster.qdrant.io:6333
|
||||
vector_store.default.params.api_key=your-api-key-here
|
||||
vector_store.default.params.distance=COSINE
|
||||
```
|
||||
|
||||
#### 5. EsVectorStore Configuration
|
||||
|
||||
**Implementation**: [`flowllm/core/vector_store/es_vector_store.py`](https://github.com/flowllm-ai/flowllm/blob/main/flowllm/core/vector_store/es_vector_store.py)
|
||||
|
||||
**Basic Configuration (Local Elasticsearch)**:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: elasticsearch
|
||||
embedding_model: default
|
||||
params:
|
||||
hosts: "http://localhost:9200" # Elasticsearch host(s) (optional; default: http://localhost:9200)
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=elasticsearch
|
||||
vector_store.default.params.hosts=http://localhost:9200
|
||||
```
|
||||
|
||||
**Configuration with Authentication**:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: elasticsearch
|
||||
embedding_model: default
|
||||
params:
|
||||
hosts: "http://elasticsearch.example.com:9200"
|
||||
basic_auth: ["username", "password"] # Basic auth credentials
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=elasticsearch
|
||||
vector_store.default.params.hosts=http://elasticsearch.example.com:9200
|
||||
vector_store.default.params.basic_auth='["username", "password"]'
|
||||
```
|
||||
|
||||
**Multi-Host Configuration**:
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: elasticsearch
|
||||
embedding_model: default
|
||||
params:
|
||||
hosts:
|
||||
- "http://es-node1:9200"
|
||||
- "http://es-node2:9200"
|
||||
- "http://es-node3:9200"
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=elasticsearch
|
||||
vector_store.default.params.hosts='["http://es-node1:9200", "http://es-node2:9200", "http://es-node3:9200"]'
|
||||
```
|
||||
|
||||
#### 6. ObVecVectorStore Configuration (OceanBase / seekdb)
|
||||
|
||||
**Implementation**: [`reme/core/vector_store/obvec_vector_store.py`](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/obvec_vector_store.py)
|
||||
|
||||
**Example (seekdb on localhost)**:
|
||||
|
||||
```yaml
|
||||
vector_stores:
|
||||
default:
|
||||
backend: obvec
|
||||
embedding_model: default
|
||||
collection_name: reme
|
||||
uri: "127.0.0.1:2881"
|
||||
user: "root"
|
||||
password: "your-root-password"
|
||||
database: "test"
|
||||
index_metric: "cosine"
|
||||
index_ef_search: 100
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_stores.default.backend=obvec
|
||||
vector_stores.default.uri=127.0.0.1:2881
|
||||
vector_stores.default.user=root
|
||||
vector_stores.default.password=your-root-password
|
||||
```
|
||||
|
||||
ReMe service YAML uses the key `vector_stores` (plural); CLI overrides use the same nested paths.
|
||||
|
||||
#### 7. HologresVectorStore Configuration
|
||||
|
||||
**Implementation**: [`reme/core/vector_store/hologres_store.py`](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/hologres_store.py)
|
||||
|
||||
**Example (Hologres instance)**:
|
||||
|
||||
```yaml
|
||||
vector_stores:
|
||||
default:
|
||||
backend: hologres
|
||||
embedding_model: default
|
||||
collection_name: reme
|
||||
host: "your-hologres-host"
|
||||
port: 80
|
||||
database: "postgres"
|
||||
user: "postgres"
|
||||
password: "your-password"
|
||||
schema: "public"
|
||||
distance_method: "Cosine"
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_stores.default.backend=hologres
|
||||
vector_stores.default.host=your-hologres-host
|
||||
vector_stores.default.port=80
|
||||
vector_stores.default.user=postgres
|
||||
vector_stores.default.password=your-password
|
||||
vector_stores.default.database=postgres
|
||||
```
|
||||
|
||||
#### 8. ZvecVectorStore Configuration
|
||||
|
||||
Persistent local storage based on zvec with HNSW indexing and strong-schema support.
|
||||
|
||||
**Implementation**: [`reme/core/vector_store/zvec_vector_store.py`](https://github.com/agentscope-ai/ReMe/blob/main/reme/core/vector_store/zvec_vector_store.py)
|
||||
|
||||
```yaml
|
||||
vector_store:
|
||||
default:
|
||||
backend: zvec
|
||||
embedding_model: default
|
||||
params:
|
||||
db_path: "./zvec_vector_store" # Local storage path (required)
|
||||
dimension: 1024 # Vector dimension (optional; default: 1024)
|
||||
distance: "cosine" # Distance metric (optional; default: cosine; options: cosine, l2, ip)
|
||||
```
|
||||
|
||||
```shell
|
||||
vector_store.default.backend=zvec
|
||||
vector_store.default.params.db_path=./zvec_vector_store
|
||||
vector_store.default.params.dimension=1024
|
||||
vector_store.default.params.distance=cosine
|
||||
```
|
||||
|
||||
### Complete Configuration Example
|
||||
|
||||
Below is a complete `default.yaml` example including both embedding model and vector store configurations:
|
||||
|
||||
```yaml
|
||||
# Embedding model configuration
|
||||
embedding_model:
|
||||
default:
|
||||
backend: openai_compatible
|
||||
model_name: text-embedding-v4
|
||||
params:
|
||||
dimensions: 1024
|
||||
|
||||
# Vector store configuration
|
||||
vector_store:
|
||||
default:
|
||||
backend: elasticsearch
|
||||
embedding_model: default
|
||||
params:
|
||||
hosts: "http://localhost:9200"
|
||||
```
|
||||
|
||||
```shell
|
||||
# Embedding model configuration
|
||||
embedding_model.default.backend=openai_compatible
|
||||
embedding_model.default.model_name=text-embedding-v4
|
||||
embedding_model.default.params.dimensions=1024
|
||||
|
||||
# Vector store configuration
|
||||
vector_store.default.backend=elasticsearch
|
||||
vector_store.default.params.hosts=http://localhost:9200
|
||||
```
|
||||
|
||||
### Environment Variable Support
|
||||
|
||||
Certain Vector Stores support environment variables as a supplement to YAML configuration:
|
||||
|
||||
- **Elasticsearch**: `FLOW_ES_HOSTS` – Elasticsearch host address.
|
||||
- **Qdrant**:
|
||||
- `FLOW_QDRANT_HOST` – Qdrant host (default: `localhost`)
|
||||
- `FLOW_QDRANT_PORT` – Qdrant port (default: `6333`)
|
||||
- `FLOW_QDRANT_API_KEY` – Qdrant API key
|
||||
|
||||
When parameters are not explicitly specified in the YAML configuration, the system falls back to environment variables.
|
||||
|
||||
## Metadata Filtering
|
||||
|
||||
Two types of metadata filtering are supported:
|
||||
|
||||
- **Exact Match**: Specify field values for exact matching.
|
||||
- **Range Queries**: Use operators `gte`, `lte`, `gt`, `lt` for numeric range queries.
|
||||
- **Nested Fields**: Access nested metadata fields using dot notation.
|
||||
|
||||
## Usage Recommendations
|
||||
|
||||
- **Development & Testing**: Use MemoryVectorStore or LocalVectorStore—no additional services required.
|
||||
- **Small-Scale Applications**: Use LocalVectorStore or ChromaVectorStore for simplicity and ease of use.
|
||||
- **Production Environments**: Use QdrantVectorStore, EsVectorStore, ObVecVectorStore (OceanBase/seekdb), or HologresVectorStore for high performance and scalability, depending on your existing infrastructure.
|
||||
- **High-Performance Local Search**: Use ZvecVectorStore for single-machine deployments requiring fast HNSW-based vector search with local persistence.
|
||||
- **Hybrid Search**: Use EsVectorStore to combine vector search with full-text search capabilities.
|
||||
- **OceanBase / seekdb**: Use ObVecVectorStore when you standardize on pyobvector and SQL-accessible vector tables.
|
||||
- **Hologres**: Use HologresVectorStore when you run Hologres and need native HGraph-indexed vector search with PostgreSQL-compatible SQL and JSONB metadata filtering.
|
||||
|
||||
## Important Notes
|
||||
|
||||
- Ensure the embedding model’s output dimension matches the Vector Store configuration.
|
||||
- For large-scale data, use professional vector databases (e.g., Qdrant, Elasticsearch).
|
||||
- Asynchronous interfaces deliver better performance in asynchronous environments.
|
||||
- Regularly back up critical data, especially when using in-memory storage.
|
||||
- Choose an appropriate batch size based on your data scale to optimize performance.
|
||||
|
|
@ -1,199 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Message Offload
|
||||
|
||||
## 1. Background: Why Message Offload?
|
||||
|
||||
### The Agent Context Challenge
|
||||
|
||||
In modern AI agent systems, LLMs interact with tools through iterative loops, accumulating conversation history and tool results. With each iteration, a critical problem emerges:
|
||||
|
||||
**The Core Problem: Context Window Explosion**
|
||||
|
||||
When an agent executes complex tasks, it relies on maintaining conversation history to track progress and make informed decisions. However:
|
||||
|
||||
- **Rapid Context Growth**: Each tool call appends input parameters and output results to message history
|
||||
- **Token Consumption**: A single tool call can consume hundreds or thousands of tokens, especially for data-heavy operations
|
||||
- **Context Window Limits**: Most LLMs have finite context windows (e.g., 128K, 200K tokens)
|
||||
- **Context Rot**: As context grows beyond optimal thresholds, model performance degrades significantly
|
||||
|
||||
**Example: Web Research Agent**
|
||||
|
||||
<p align="center">
|
||||
<img src="../_static/figure/working_memory_intro.png" alt="" width="60%">
|
||||
</p>
|
||||
|
||||
Imagine an agent performing research across multiple sources:
|
||||
```
|
||||
Iteration 1: web_search("AI context management") → 3,500 tokens
|
||||
Iteration 2: read_webpage(url_1) → 8,200 tokens
|
||||
Iteration 3: web_search("context compression techniques") → 4,100 tokens
|
||||
Iteration 4: read_webpage(url_2) → 7,800 tokens
|
||||
...
|
||||
Iteration 15: summarize_findings() → Total context: 95,000 tokens
|
||||
```
|
||||
|
||||
As context accumulates:
|
||||
- **At 50K tokens**: Agent performs normally, accurate responses
|
||||
- **At 100K tokens**: Responses become repetitive, slower inference
|
||||
- **At 150K tokens**: Significant quality degradation, "context rot" sets in
|
||||
- **At 200K tokens**: Context window exhausted, cannot continue
|
||||
|
||||
**Without context management, agents hit walls after just 15-20 complex tool calls.**
|
||||
|
||||
### The Solution: Message Offload as Context Engineering
|
||||
|
||||
Message Offload solves this by **intelligently moving non-essential information out of active context**, allowing agents to operate indefinitely while maintaining optimal performance:
|
||||
|
||||
**1. Message Compaction** (Reversible Strategy)
|
||||
- **Selective Storage**: Large tool results stored in external files
|
||||
- **Reference Retention**: Only file paths kept in message history
|
||||
- **On-Demand Retrieval**: Full content can be retrieved when needed
|
||||
|
||||
**2. Message Compression** (LLM-Based Strategy)
|
||||
- **Intelligent Summarization**: LLM generates concise summaries of older message groups
|
||||
- **Priority Preservation**: Recent messages and system prompts remain intact
|
||||
- **Information Density**: Maintains key information while reducing token count
|
||||
|
||||
**3. Hybrid Auto Mode** (Adaptive Strategy)
|
||||
- **Compaction First**: Applies compaction to tool messages
|
||||
- **Compression When Needed**: Triggers compression if compaction ratio exceeds threshold
|
||||
- **Dynamic Adjustment**: Adapts strategy based on context characteristics
|
||||
|
||||
### Enhanced work memory management
|
||||
|
||||
Instead of letting context grow uncontrollably, the agent now benefits from:
|
||||
|
||||
```
|
||||
Traditional Approach (No Context Management):
|
||||
50 messages → 95,000 tokens → Context rot begins
|
||||
- Response quality: Degraded
|
||||
- Inference speed: Slow
|
||||
- Can continue: No (approaching limit)
|
||||
- Information lost: No, but unusable
|
||||
|
||||
+ Message Offload Approach:
|
||||
50 messages → 15,000 tokens (after offload) → Optimal performance maintained
|
||||
- Response quality: High
|
||||
- Inference speed: Fast
|
||||
- Can continue: Yes (85% headroom remaining)
|
||||
- Information lost: No (stored externally, retrievable)
|
||||
|
||||
Offload Details:
|
||||
- 20 tool messages compacted → Stored in /context_store/
|
||||
- 15 older messages compressed → Summarized in system message
|
||||
- 5 recent messages preserved → Full content intact
|
||||
- External storage: 80,000 tokens offloaded
|
||||
- Active context: 15,000 tokens (84% reduction)
|
||||
```
|
||||
|
||||
This managed context enables the agent to:
|
||||
- **Operate Indefinitely**: No hard limit on conversation length
|
||||
- **Maintain Performance**: Stay within optimal token range (10-30K tokens)
|
||||
- **Preserve Information**: All data accessible through file system or summaries
|
||||
- **Optimize Costs**: Reduce token consumption by 70-90% in long conversations
|
||||
|
||||
### The Impact: From Context Explosion to Controlled Growth
|
||||
|
||||
**Traditional Approach (No Work Memory Management):**
|
||||
```
|
||||
Agent: "I've executed 20 tool calls, context is now 100K tokens"
|
||||
→ Performance degradation begins
|
||||
→ Slower responses, repetitive outputs
|
||||
→ Cannot continue beyond 30 calls
|
||||
→ Task abandoned due to context limits
|
||||
```
|
||||
|
||||
**Message Offload Approach (Intelligent Management):**
|
||||
```
|
||||
Agent: "I've executed 100 tool calls, active context maintained at 18K tokens"
|
||||
→ Optimal performance throughout
|
||||
→ Fast, accurate responses
|
||||
→ Can continue indefinitely
|
||||
→ All historical data accessible when needed
|
||||
```
|
||||
|
||||
**Real-World Impact:**
|
||||
|
||||
```
|
||||
Before Message Offload (20 tool calls):
|
||||
- Active context: 95,000 tokens
|
||||
- Performance: Degraded (context rot)
|
||||
- Can continue: No (near limit)
|
||||
- Response quality: 6/10
|
||||
- Inference time: 8-12 seconds
|
||||
- Max task complexity: Low (15-20 calls)
|
||||
|
||||
After Message Offload (100 tool calls):
|
||||
- Active context: 18,000 tokens (-81%)
|
||||
- Performance: Optimal
|
||||
- Can continue: Yes (90% headroom)
|
||||
- Response quality: 9/10
|
||||
- Inference time: 2-4 seconds (-70%)
|
||||
- Max task complexity: High (100+ calls)
|
||||
```
|
||||
## 2. Implementation in ReMe
|
||||
|
||||
ReMe has fully implemented the above-mentioned message offload and reload mechanisms, inspired by [Context Engineering for AI Agents with LangChain and Manus](https://www.youtube.com/watch?v=6_BcCthVvb8). The implementation provides two core operation primitives:
|
||||
|
||||
|
||||
### (1) Message Offload Operations
|
||||
|
||||
Operations for intelligently reducing context size through compaction and compression strategies.
|
||||
|
||||
📖 **Detailed Usage Guide**: [Message Offload Ops](message_offload_ops.md)
|
||||
|
||||
Key features:
|
||||
- Three working summary modes: compact, compress, and auto
|
||||
- Intelligent token threshold management
|
||||
- Integration with file storage system
|
||||
- Complete working examples in test files
|
||||
|
||||
### (2) Message Reload Operations
|
||||
|
||||
Operations for retrieving and accessing offloaded content when needed.
|
||||
|
||||
📖 **Detailed Usage Guide**: [Message Reload Ops](message_reload_ops.md)
|
||||
|
||||
Key features:
|
||||
- Text search within offloaded files (GrepOp)
|
||||
- Efficient file reading with pagination (ReadFileOp)
|
||||
- Support for both absolute and relative paths
|
||||
- Complete working examples in test files
|
||||
|
||||
Both operation primitives are production-ready and can be integrated into your agent workflows. Refer to the linked documentation for API specifications, parameter details, and practical usage examples.
|
||||
|
||||
## 3. Integrating Working Memory with Agents
|
||||
|
||||
ReMe provides a complete tutorial on integrating working memory mechanisms with agent workflows. This integration enables agents to handle long-running tasks efficiently while maintaining optimal context window usage.
|
||||
|
||||
### Resources
|
||||
|
||||
📖 **Tutorial Guide**: [Working Memory Quick Start](../cookbook/working/quick_start.md)
|
||||
- Step-by-step guide on integrating working memory with agents
|
||||
- Configuration examples and best practices
|
||||
- Real-world usage scenarios
|
||||
|
||||
💻 **Implementation Reference**: [react_agent_with_working_memory.py](../../cookbook/working_memory/react_agent_with_working_memory.py)
|
||||
- Complete implementation of a ReAct agent with working memory
|
||||
- Shows how to configure message offload and reload operations
|
||||
- Production-ready code template
|
||||
|
||||
🚀 **Demo Application**: [work_memory_demo.py](../../cookbook/working_memory/work_memory_demo.py)
|
||||
- Runnable demonstration of working memory in action
|
||||
- Practical examples with different scenarios
|
||||
- Easy to adapt for your own use cases
|
||||
|
||||
These resources provide everything you need to add intelligent working memory management to your agent applications.
|
||||
|
|
@ -1,108 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Message Offload Ops
|
||||
|
||||
## MessageOffloadOp
|
||||
|
||||
### Purpose
|
||||
|
||||
As AI agents evolved from simple chatbots to sophisticated autonomous systems, the focus shifted from "prompt engineering" to "context engineering". Agentic systems work by binding LLMs with tools and running them in a loop where the agent decides which tools to call and feeds results back into the message history. This creates a **context explosion** problem:
|
||||
|
||||
- **Rapid Growth**: A seemingly simple task can trigger 50+ tool calls, with production agents often running hundreds of conversation turns
|
||||
- **Large Outputs**: Each tool call can return substantial text, consuming massive amounts of tokens
|
||||
- **Memory Pressure**: The context window quickly fills up as messages and tool results accumulate chronologically
|
||||
|
||||
When context grows too large, model performance degrades significantly—a phenomenon known as **"context rot"**:
|
||||
|
||||
- **Repetitive Responses**: The model starts generating redundant or circular answers
|
||||
- **Slower Reasoning**: Inference becomes noticeably slower as context length increases
|
||||
- **Quality Degradation**: Overall response quality and coherence decline
|
||||
- **Lost Focus**: The model struggles to identify relevant information in the bloated context
|
||||
|
||||
**MessageOffloadOp** addresses this fundamental challenge by managing context window limits through intelligent offloading strategies. It implements compaction and compression techniques to reduce token usage while preserving important information, enabling agents to handle arbitrarily long conversations and complex tasks while maintaining optimal performance throughout.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Supports three working summary modes: `compact`, `compress`, and `auto`
|
||||
- **Compact mode**: Stores full content of large tool messages in external files, keeping only previews in context
|
||||
- **Compress mode**: Uses LLM to generate concise summaries of older message groups
|
||||
- **Auto mode** (recommended): Applies compaction first, then compression if compaction ratio exceeds `compact_ratio_threshold`
|
||||
- Automatically writes offloaded content to files via `BatchWriteFileOp`
|
||||
- Preserves recent messages and system messages to maintain conversation coherence
|
||||
- Configurable token thresholds for both compaction and compression operations
|
||||
|
||||
### Parameters
|
||||
|
||||
- `messages` (array, **required**):
|
||||
- List of conversation messages to process for working memory summarization
|
||||
- Messages are analyzed for token count and processed according to management mode
|
||||
|
||||
- `working_summary_mode` (string, optional, default: `"auto"`):
|
||||
- Working summary strategy to use
|
||||
- `"compact"`: Only applies compaction to large tool messages
|
||||
- `"compress"`: Only applies LLM-based compression
|
||||
- `"auto"`: Applies compaction first then compression if compaction ratio exceeds threshold
|
||||
- Allowed values: `["compact", "compress", "auto"]`
|
||||
|
||||
- `compact_ratio_threshold` (number, optional, default: `0.75`):
|
||||
- Only used in `"auto"` mode
|
||||
- Threshold for compaction ratio (tokens after compaction divided by original tokens)
|
||||
- When the ratio is greater than this value, an additional LLM-based compression pass is triggered
|
||||
- Example: If ratio is 0.76 (76%) and threshold is 0.75, compression will be applied
|
||||
|
||||
- `max_total_tokens` (integer, optional, default: `20000`):
|
||||
- Maximum token count threshold for triggering compression/compaction
|
||||
- For compaction mode: this is the total token count threshold
|
||||
- For compression mode: excludes `keep_recent_count` messages and system messages
|
||||
- Operation is skipped if token count is below this threshold
|
||||
|
||||
- `max_tool_message_tokens` (integer, optional, default: `2000`):
|
||||
- Maximum token count per individual tool message before compaction is applied
|
||||
- Tool messages exceeding this threshold will have full content stored in external files
|
||||
- Only a preview is kept in context with a reference to the stored file
|
||||
|
||||
- `group_token_threshold` (integer, optional):
|
||||
- Maximum token count per compression group when using LLM-based compression
|
||||
- If `None` or `0`, all messages are compressed in a single group
|
||||
- Messages exceeding this threshold individually will form their own group
|
||||
- Only used in `"compress"` or `"auto"` mode
|
||||
|
||||
- `keep_recent_count` (integer, optional, default: `1` for compaction, `2` for compression):
|
||||
- Number of recent messages to preserve without compression or compaction
|
||||
- These messages remain unchanged to maintain conversation context
|
||||
- Does not include system messages (which are always preserved)
|
||||
|
||||
- `store_dir` (string, optional):
|
||||
- Directory path for storing summarized message content
|
||||
- Full tool message content and compressed message groups are saved as files in this directory
|
||||
- Required for compaction and compression operations
|
||||
|
||||
- `chat_id` (string, optional):
|
||||
- Unique identifier for the chat session
|
||||
- Used for file naming when storing compressed message groups
|
||||
- If not provided, a UUID will be generated automatically
|
||||
|
||||
### Usage Pattern
|
||||
For complete working examples of how to use MessageOffloadOp in practice, please refer to:
|
||||
[test_message_offload_op.py](../../test/test_message_offload_op.py)
|
||||
|
||||
This test file demonstrates:
|
||||
- **Compact mode**: How to configure and use compaction-only strategy
|
||||
- **Compress mode**: How to apply LLM-based compression strategy
|
||||
- **Auto mode**: How to combine compaction and compression intelligently
|
||||
- Proper parameter settings for different scenarios
|
||||
- Integration with `BatchWriteFileOp` for file writing
|
||||
- Real-world message sequences with various token sizes
|
||||
|
||||
|
|
@ -1,124 +0,0 @@
|
|||
---
|
||||
jupytext:
|
||||
formats: md:myst
|
||||
text_representation:
|
||||
extension: .md
|
||||
format_name: myst
|
||||
format_version: 0.13
|
||||
jupytext_version: 1.11.5
|
||||
kernelspec:
|
||||
display_name: Python 3
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
# Message Reload Ops
|
||||
|
||||
## GrepOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Provides a text search capability for locating specific content within offloaded files by pattern matching. This operation enables case-insensitive search within a single file, making it easy to find specific lines in tool messages or compressed groups.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Searches for literal text patterns (case-insensitive) within a single file
|
||||
- Limits result count to avoid overwhelming output (default: 50 matches)
|
||||
- Returns matching lines with file path, line number, and content
|
||||
- Ideal for locating specific content within known offloaded files
|
||||
|
||||
### Parameters
|
||||
|
||||
- `file_path` (string, **required**):
|
||||
- The path to the file to search in
|
||||
- Can be an absolute or relative path
|
||||
- Must be a valid file path (not a directory)
|
||||
- Examples:
|
||||
- `/workspace/context_store/tool_call_123.txt`
|
||||
- `./context_store/compressed_group_0.json`
|
||||
|
||||
- `pattern` (string, **required**):
|
||||
- The text pattern to search for in the file
|
||||
- Search is case-insensitive
|
||||
- Searched as a literal string (special regex characters are escaped)
|
||||
- Examples: `"stored in"`, `"error message"`, `"function_name"`
|
||||
|
||||
- `limit` (number, optional, default: `50`):
|
||||
- Maximum number of matching lines to return
|
||||
- Stops searching after reaching the limit
|
||||
- Useful for large files to avoid token overflow
|
||||
- Example: `100` returns at most 100 matching lines
|
||||
|
||||
### Return Value
|
||||
|
||||
The operation returns search results with matching lines:
|
||||
- Each match is formatted as: `file_path:line_number:line_content`
|
||||
- Returns up to `limit` matches
|
||||
- If no matches found, returns a message indicating no matches
|
||||
- Each match shows the complete line containing the pattern
|
||||
|
||||
Example: Searching for `"error"` in `/workspace/context_store/tool_call_123.txt` with limit 50 returns matching lines like:
|
||||
```
|
||||
/workspace/context_store/tool_call_123.txt:45:Error: Connection timeout
|
||||
/workspace/context_store/tool_call_123.txt:78:Warning: Retrying after error
|
||||
```
|
||||
|
||||
## ReadFileOp
|
||||
|
||||
### Purpose
|
||||
|
||||
Reads and returns the content of offloaded files, enabling on-demand access to compacted tool messages and compressed conversation history. Supports efficient pagination for handling large files.
|
||||
|
||||
### Functionality
|
||||
|
||||
- Reads file content from specified path (absolute or relative)
|
||||
- Supports pagination with offset and limit for reading specific line ranges
|
||||
- Uses efficient `sed` command for line-based reading
|
||||
- Works with text files
|
||||
- Essential for retrieving full content of compacted tool messages
|
||||
- Enables access to original message groups before compression
|
||||
|
||||
### Parameters
|
||||
|
||||
- `file_path` (string, **required**):
|
||||
- The path to the file to read
|
||||
- Can be absolute or relative path
|
||||
- Path will be expanded and resolved automatically
|
||||
- Examples:
|
||||
- `/workspace/context_store/tool_call_123.txt`
|
||||
- `./context_store/compressed_group_0.json`
|
||||
- `~/context_store/message.txt`
|
||||
|
||||
- `offset` (number, **required** but has default):
|
||||
- The 0-based line number to start reading from
|
||||
- If not provided or 0, starts from the beginning of the file
|
||||
- Used in combination with `limit` for pagination
|
||||
- Example: `0` starts from the first line, `100` starts from line 100
|
||||
|
||||
- `limit` (number, **required** but has default):
|
||||
- Maximum number of lines to read from the offset
|
||||
- If not provided, defaults to 1,000,000 (reads to end of file)
|
||||
- Used with `offset` to implement pagination
|
||||
- Example: `100` reads up to 100 lines from the offset
|
||||
|
||||
### Return Value
|
||||
|
||||
The operation returns the file content as a string:
|
||||
- Content of the specified line range (from `offset` to `offset + limit`)
|
||||
- Lines are returned without trailing newlines
|
||||
- Empty string if the specified range is beyond the file's content
|
||||
- Error message if file not found or cannot be read
|
||||
|
||||
Example: Reading `/workspace/context_store/tool_call_123.txt` with `offset=0` and `limit=100` returns the first 100 lines of the file.
|
||||
|
||||
## Usage Pattern: Combining Grep and ReadFile
|
||||
|
||||
For a complete working example of how to use these operations in practice, please refer to:
|
||||
[test_agentic_retrieve_op.py](../../test/test_agentic_retrieve_op.py)
|
||||
|
||||
This test file demonstrates:
|
||||
- How to configure the system prompt to guide AI in using Grep and ReadFile operations
|
||||
- Real-world usage scenarios with message offload and reload
|
||||
- Proper parameter settings for `AgenticRetrieveOp` with working memory
|
||||
- Best practices for combining these operations in a retrieval workflow
|
||||
|
||||
|
|
@ -1,943 +0,0 @@
|
|||
# auto_dream 逻辑解读与 Step 拆分方案
|
||||
|
||||
## 1. 配置入口
|
||||
|
||||
`/Users/yuli/workspace/ReMe/reme4/config/default.yaml` 里和 auto dream 相关的是四个 job:
|
||||
|
||||
| job | 用途 | 当前 steps |
|
||||
|---|---|---|
|
||||
| `dream` | 对单个文件做完整 dream,并顺手写一次 daily topics | `dream_step` -> `daily_topics_step` |
|
||||
| `dream_extract` | auto_dream 内部使用的单文件 dream,只抽取和整合 digest,不写 daily topics | `dream_step` |
|
||||
| `auto_dream` | 扫描某一天的 daily index 和 session notes,只处理新增/修改文件,最后聚合写当天兴趣主题 | `auto_dream_step` |
|
||||
| `daily_topics` | 从 dream 产生的 topic candidates 中选最终兴趣主题,写 `daily/<date>/interests.md` | `daily_topics_step` |
|
||||
|
||||
关键点:
|
||||
|
||||
- `dream` 和 `auto_dream` 不是同一条链路。
|
||||
- `dream` 是单文件命令,执行 `dream_step` 后立刻执行 `daily_topics_step`。
|
||||
- `auto_dream` 默认 `dispatch_job: dream_extract`,所以它对每个文件只跑 `dream_step`,把所有文件产生的 `topic_candidates` 收集起来,最后只调用一次 `daily_topics`。
|
||||
- `auto_dream` 默认写 3 个 topic,回看 7 天去重,输出 session id 是 `interests`。
|
||||
|
||||
配置片段的实际语义:
|
||||
|
||||
```yaml
|
||||
auto_dream:
|
||||
steps:
|
||||
- backend: auto_dream_step
|
||||
dispatch_job: dream_extract
|
||||
emit_topics: true
|
||||
topic_dispatch_job: daily_topics
|
||||
topic_count: 3
|
||||
topic_diversity_days: 7
|
||||
topic_session_id: interests
|
||||
```
|
||||
|
||||
也就是说,`auto_dream` 本身是一个调度器和增量扫描器,真正的 LLM dream 逻辑在 `DreamStep`,topic 写入在 `DailyTopicsStep`。
|
||||
|
||||
## 2. auto_dream_step 执行链路
|
||||
|
||||
实现位置:
|
||||
|
||||
- `reme4/steps/evolve/auto_dream.py`
|
||||
- `reme4/steps/evolve/dream.py`
|
||||
- `reme4/steps/evolve/daily_topics.py`
|
||||
- `reme4/steps/file_io/_daily_index.py`
|
||||
|
||||
### 2.1 读取输入和默认日期
|
||||
|
||||
`AutoDreamStep.execute()` 从 runtime context 读取:
|
||||
|
||||
| 参数 | 语义 |
|
||||
|---|---|
|
||||
| `date` | 要扫描的日期,空字符串时用配置 timezone 下的今天 |
|
||||
| `hint` | 透传给每个单文件 dream 的提示 |
|
||||
|
||||
日期默认逻辑:
|
||||
|
||||
```text
|
||||
date_input 非空 -> 使用 date_input
|
||||
date_input 为空 -> now(app_config.timezone).strftime("%Y-%m-%d")
|
||||
```
|
||||
|
||||
`daily_dir` 不来自用户参数,而是来自 app config,默认是 `daily`。
|
||||
|
||||
### 2.2 先刷新 day-index
|
||||
|
||||
正式扫描前,auto_dream 会先调用:
|
||||
|
||||
```python
|
||||
await refresh_day_index(self.file_store, today, daily_dir)
|
||||
```
|
||||
|
||||
它会重建:
|
||||
|
||||
```text
|
||||
daily/<date>.md
|
||||
```
|
||||
|
||||
这个 day-index 文件包含 `daily/<date>/` 下每个 session note 的链接和 frontmatter 摘要。这样 auto_dream 后续处理的第一个文件就是当天总览。
|
||||
|
||||
隐含结果:
|
||||
|
||||
- 如果 session notes 有新增/删除/frontmatter 变化,day-index 的内容可能变化。
|
||||
- day-index 被放在扫描列表第一位,所以当天总览先于具体 session note 被 dream。
|
||||
|
||||
### 2.3 扫描当天文件范围
|
||||
|
||||
扫描范围由 `_scan_today_files(vault, today, daily_dir)` 决定:
|
||||
|
||||
```text
|
||||
1. daily/<date>.md
|
||||
2. daily/<date>/**/*.md
|
||||
```
|
||||
|
||||
处理顺序:
|
||||
|
||||
```text
|
||||
daily/<date>.md first
|
||||
daily/<date>/**/*.md sorted by path
|
||||
```
|
||||
|
||||
但 auto_dream 会排除:
|
||||
|
||||
```text
|
||||
daily/<date>/interests.md
|
||||
```
|
||||
|
||||
也就是 `topic_session_id` 对应的 daily topics 文件。原因是 `interests.md` 是 auto_dream 自己产出的兴趣主题,不能再作为 dream 输入,否则容易自我循环。
|
||||
|
||||
### 2.4 用 file_catalog 做增量判断
|
||||
|
||||
auto_dream 构造两张表:
|
||||
|
||||
| 名称 | 来源 | 内容 |
|
||||
|---|---|---|
|
||||
| `existing` | 当前磁盘 | `{vault_relative_path: st_mtime}` |
|
||||
| `indexed` | `file_catalog.get_nodes()` | `{vault_relative_path: st_mtime}` |
|
||||
|
||||
`indexed` 只保留当天范围:
|
||||
|
||||
```text
|
||||
daily/<date>.md
|
||||
daily/<date>/*
|
||||
```
|
||||
|
||||
并且同样排除:
|
||||
|
||||
```text
|
||||
daily/<date>/interests.md
|
||||
```
|
||||
|
||||
然后做 diff:
|
||||
|
||||
| 条件 | 分类 | 行为 |
|
||||
|---|---|---|
|
||||
| `rel in existing`,但 catalog 没有 | added | 需要 dream |
|
||||
| `rel in existing`,但 mtime 不同 | modified | 需要 dream |
|
||||
| `rel in existing`,且 mtime 相同 | unchanged | 跳过 |
|
||||
| catalog 有,但磁盘没有 | deleted | 从 catalog 删除 |
|
||||
|
||||
注意这里的 `file_catalog` 更像是 auto_dream 的“已处理 mtime 水位线”,不是语义索引本身。默认配置没有给 `auto_dream_step` 显式传 `file_catalog`,所以按 `BaseStep.Ref` 规则解析到 `file_catalog.default`。
|
||||
|
||||
### 2.5 先删除 catalog 中的缺失文件
|
||||
|
||||
如果某些当天文件已经不存在:
|
||||
|
||||
```python
|
||||
await self.file_catalog.delete(to_delete)
|
||||
```
|
||||
|
||||
这一步不需要 LLM,也不会阻塞后续 dream。删除失败只记录日志,当前实现不会把它计入 `result.files_failed`。
|
||||
|
||||
### 2.6 对新增/修改文件逐个 dispatch dream_extract
|
||||
|
||||
对每个 `to_dream` 文件,auto_dream 调:
|
||||
|
||||
```python
|
||||
resp = await self.run_job("dream_extract", path=rel_path, hint=hint)
|
||||
```
|
||||
|
||||
`dream_extract` 只有一个 step:
|
||||
|
||||
```yaml
|
||||
steps:
|
||||
- backend: dream_step
|
||||
```
|
||||
|
||||
`AutoDreamStep._dispatch_dream()` 会把 `resp.metadata` 重新校验成 `DreamResult`。如果 job 抛异常、metadata 不是 `DreamResult`、或 response `success=False`,都会转成带 `error` 的 `DreamResult`。
|
||||
|
||||
### 2.7 单文件 DreamStep 内部逻辑
|
||||
|
||||
`DreamStep.dream_one(path, hint)` 是真正的 per-file create_or_update。
|
||||
|
||||
它的主流程:
|
||||
|
||||
```text
|
||||
1. path 为空 -> skipped
|
||||
2. 没有 LLM -> error
|
||||
3. _pack_material() 读取 vault-relative 文件内容
|
||||
4. Phase 1: _extract()
|
||||
5. 如果 Phase 1 没有 units -> skipped,但保留 topic_candidates
|
||||
6. Phase 2: 对每个 unit 调 _integrate_unit()
|
||||
7. 返回 DreamResult
|
||||
```
|
||||
|
||||
#### Phase 1: extract
|
||||
|
||||
工具:
|
||||
|
||||
```python
|
||||
_EXTRACT_TOOLS = ("read",)
|
||||
```
|
||||
|
||||
输出 schema 是 `ExtractedUnits`:
|
||||
|
||||
```text
|
||||
units: list[MemoryUnit]
|
||||
topic_candidates: list[TopicCandidate]
|
||||
```
|
||||
|
||||
每个 memory unit 包含:
|
||||
|
||||
| 字段 | 语义 |
|
||||
|---|---|
|
||||
| `name` | agent 内部短名 |
|
||||
| `bucket` | `procedure` / `personal` / `wiki` 三选一 |
|
||||
| `summary` | 这个抽象是什么,证据在哪 |
|
||||
|
||||
每个 topic candidate 包含:
|
||||
|
||||
| 字段 | 语义 |
|
||||
|---|---|
|
||||
| `title` | 兴趣主题标题 |
|
||||
| `reason` | 为什么用户可能关心 |
|
||||
| `evidence` | 证据指针 |
|
||||
| `keywords` | 去重关键词 |
|
||||
|
||||
如果 LLM 输出了未知 bucket,当前代码会警告并改成 `wiki`。
|
||||
|
||||
#### Phase 2: integrate
|
||||
|
||||
每个 unit 单独发起一次 ReAct:
|
||||
|
||||
```text
|
||||
system prompt = integrate_system_prompt_<bucket>
|
||||
```
|
||||
|
||||
工具:
|
||||
|
||||
```python
|
||||
_INTEGRATE_TOOLS = (
|
||||
"node_search",
|
||||
"read",
|
||||
"frontmatter_read",
|
||||
"write",
|
||||
"edit",
|
||||
"frontmatter_update",
|
||||
)
|
||||
```
|
||||
|
||||
输出 schema 是 `IntegrateOutcome`:
|
||||
|
||||
| 字段 | 语义 |
|
||||
|---|---|
|
||||
| `action` | `CREATE` / `CORROBORATE` / `REFINE` / `CORRECT` |
|
||||
| `target_path` | 实际写入或更新的 digest path |
|
||||
| `note` | 简短说明 |
|
||||
|
||||
`DreamStep` 根据 action 统计:
|
||||
|
||||
```text
|
||||
CREATE -> nodes_created
|
||||
其他 action -> nodes_updated
|
||||
```
|
||||
|
||||
当前实现里,某个 unit 的 integrate 失败不会让整个 DreamResult 变成 error,只会在 summary 里记录 `FAILED`。这意味着文件级别仍会被 auto_dream 当作成功并写入 catalog mtime。
|
||||
|
||||
### 2.8 汇总 per-file 结果并更新 catalog
|
||||
|
||||
auto_dream 对每个文件的 `DreamResult` 做三件事:
|
||||
|
||||
| 情况 | 行为 |
|
||||
|---|---|
|
||||
| `dr.error` 非空 | `files_failed += 1`,不更新这个文件的 catalog mtime,下次会重试 |
|
||||
| `dr.skipped` 为 true | `files_skipped += 1`,仍然 upsert mtime,避免每次重复跑 Phase 1 |
|
||||
| 正常 dream | `files_dreamed += 1`,upsert mtime |
|
||||
|
||||
同时收集:
|
||||
|
||||
```python
|
||||
topic_candidates.extend(dr.topic_candidates or [])
|
||||
```
|
||||
|
||||
最后批量:
|
||||
|
||||
```python
|
||||
await self.file_catalog.upsert(upsert_nodes)
|
||||
```
|
||||
|
||||
### 2.9 聚合写 daily topics
|
||||
|
||||
如果:
|
||||
|
||||
```text
|
||||
emit_topics == true
|
||||
topic_candidates 非空
|
||||
```
|
||||
|
||||
auto_dream 会调用:
|
||||
|
||||
```python
|
||||
await self.run_job(
|
||||
"daily_topics",
|
||||
date=today,
|
||||
candidates=topic_candidates,
|
||||
topic_count=3,
|
||||
diversity_days=7,
|
||||
session_id="interests",
|
||||
)
|
||||
```
|
||||
|
||||
`DailyTopicsStep` 做:
|
||||
|
||||
```text
|
||||
1. 清洗 candidates
|
||||
2. 读取过去 diversity_days 天的 interests.md
|
||||
3. 有 LLM 时用 select prompt 选最终 topics
|
||||
4. 没有 LLM 时 fallback: 简单标题去重
|
||||
5. 写 daily/<date>/interests.md
|
||||
6. refresh_day_index()
|
||||
```
|
||||
|
||||
写出的文件形态:
|
||||
|
||||
```text
|
||||
daily/<date>/interests.md
|
||||
```
|
||||
|
||||
frontmatter 包含:
|
||||
|
||||
```yaml
|
||||
name: interests
|
||||
description: "<n> interest topic(s) inferred for <date>."
|
||||
date: <date>
|
||||
topic_count: 3
|
||||
diversity_days: 7
|
||||
```
|
||||
|
||||
body 是 `# Interested Topics` 加编号列表。
|
||||
|
||||
auto_dream 收到 daily_topics 成功响应后,还会把这些文件的最新 mtime 写入 catalog:
|
||||
|
||||
```text
|
||||
daily/<date>/interests.md
|
||||
daily/<date>.md
|
||||
```
|
||||
|
||||
这里有一个隐含行为:day-index 在 per-file dream 之后又因为 `interests.md` 被写入而刷新,auto_dream 会把刷新后的 `daily/<date>.md` mtime 标记为已处理。也就是说,仅由 interests 写入引发的 day-index 变化不会在下一轮再次触发 dream。
|
||||
|
||||
### 2.10 持久化与响应
|
||||
|
||||
如果:
|
||||
|
||||
```text
|
||||
persist == true
|
||||
并且有 upsert 或 delete
|
||||
```
|
||||
|
||||
则:
|
||||
|
||||
```python
|
||||
await self.file_catalog.dump()
|
||||
```
|
||||
|
||||
最终 response:
|
||||
|
||||
```text
|
||||
success = files_failed == 0 and not topics_error
|
||||
answer = AutoDreamResult.summary
|
||||
metadata = AutoDreamResult.model_dump()
|
||||
```
|
||||
|
||||
summary 格式大致是:
|
||||
|
||||
```text
|
||||
[AutoDreamStep] date=2026-06-18 scanned=... unchanged=... dreamed=... skipped=... failed=... deleted=...
|
||||
- daily/2026-06-18.md: OK (+1 created, ~2 updated)
|
||||
- daily/2026-06-18/session.md: SKIP
|
||||
- topics: OK (3 written to daily/2026-06-18/interests.md)
|
||||
```
|
||||
|
||||
## 3. 当前逻辑的边界和风险
|
||||
|
||||
### 3.1 AutoDreamStep 职责过重
|
||||
|
||||
`AutoDreamStep` 同时负责:
|
||||
|
||||
- 日期解析
|
||||
- day-index 刷新
|
||||
- 文件扫描
|
||||
- catalog diff
|
||||
- 删除 catalog
|
||||
- per-file job dispatch
|
||||
- DreamResult 校验
|
||||
- topic candidates 汇总
|
||||
- daily_topics job dispatch
|
||||
- topic 输出后的 catalog upsert
|
||||
- catalog dump
|
||||
- summary 渲染
|
||||
|
||||
这些职责可以拆成明确 step,提高可测试性和可替换性。
|
||||
|
||||
### 3.2 file_catalog 的语义不够显式
|
||||
|
||||
这里的 catalog 不是“今天有哪些文件”的普通目录索引,而是“哪些文件已经被 auto_dream 处理到某个 mtime”。建议在拆分后把它显式命名为 dream catalog / processed catalog,至少在 step 名和文档中说清楚。
|
||||
|
||||
### 3.3 integrate unit 失败不会触发文件重试
|
||||
|
||||
`DreamStep` 当前捕获单个 unit integrate 异常,写进 summary 后继续,但不设置 `DreamResult.error`。auto_dream 因此会把这个文件 mtime upsert,下次不会自动重试失败 unit。
|
||||
|
||||
这可能是有意的“尽量前进”,但如果要做严格一致性,应改成:
|
||||
|
||||
```text
|
||||
任一 unit integrate 失败 -> DreamResult.error 非空 -> auto_dream 不更新 mtime
|
||||
```
|
||||
|
||||
### 3.4 topic 写入导致的 day-index 变化被标记为已处理
|
||||
|
||||
auto_dream 写 `interests.md` 后刷新 day-index,并把 day-index 最新 mtime upsert 到 catalog。这样可以避免自生成内容触发循环,但也意味着 `daily/<date>.md` 中新增的 `interests.md` 链接不会被 dream。
|
||||
|
||||
这通常是合理的,因为 `interests.md` 本身被排除在 dream 输入之外。
|
||||
|
||||
### 3.5 删除 catalog 失败不影响 success
|
||||
|
||||
删除 catalog entry 失败只打日志,不会让 response failure。拆分后可以明确这个策略:
|
||||
|
||||
- catalog delete 是 best-effort,不影响 dream 主流程
|
||||
- 或者 catalog delete 失败应导致整个 job failure
|
||||
|
||||
## 4. 拆分目标
|
||||
|
||||
重新拆分时,不按“每个小动作一个 step”拆,而按执行边界拆:
|
||||
|
||||
```text
|
||||
非 LLM 准备/扫描/diff
|
||||
-> LLM: per-file dream
|
||||
-> LLM: daily topics
|
||||
-> 非 LLM response 汇总
|
||||
```
|
||||
|
||||
核心原则:
|
||||
|
||||
- 使用 LLM 的阶段单独成 step,便于限流、重试、观测和替换模型。
|
||||
- 不使用 LLM 的准备、扫描、diff 可以合并,避免 step 过碎。
|
||||
- catalog 只是 auto_dream 的内部进度水位线,不提升为独立阶段。
|
||||
- prompt 重新写,但可以复用旧 prompt 的核心内容和约束。
|
||||
- 不做旧接口/旧格式兼容;按新 4-step pipeline 重新定义最干净的输入输出。
|
||||
|
||||
## 5. 新方案:拆成 4 个 Step
|
||||
|
||||
新方案不再是“逐文件 extract + 逐文件 integrate”。核心变化是:
|
||||
|
||||
```text
|
||||
本轮 changed files
|
||||
-> 1 个 agent 一次性阅读所有 changed paths
|
||||
-> 输出全局去重/合并后的 unit list
|
||||
-> Python for 循环逐 unit integrate
|
||||
```
|
||||
|
||||
这样一个抽象可能来自多个文件,Phase 1 就能合并为同一个 unit,避免同一天多个 session note 反复提出同一概念。
|
||||
|
||||
目标代码位置:
|
||||
|
||||
```text
|
||||
reme4/steps/evolve/dream/
|
||||
__init__.py
|
||||
models.py
|
||||
plan.py
|
||||
extract.py
|
||||
integrate.py
|
||||
topics.py
|
||||
finish.py
|
||||
prompts.yaml 或 dream.yaml
|
||||
```
|
||||
|
||||
重构完成后删除旧文件,不保留兼容 alias:
|
||||
|
||||
```text
|
||||
reme4/steps/evolve/dream.py
|
||||
reme4/steps/evolve/auto_dream.py
|
||||
reme4/steps/evolve/daily_topics.py
|
||||
```
|
||||
|
||||
### 5.0 Step 输入输出总表
|
||||
|
||||
| Step | 是否 LLM | 核心能力 | 输入 | 输出 / 写入 context | 副作用 |
|
||||
|---|---:|---|---|---|---|
|
||||
| `dream_extract_step` | 是 | 根据 dream catalog 找出本轮新增/修改/删除文件,把所有 changed paths 交给一个 agent,一次性输出跨文件合并后的 `unit_list` 和 `topic_list` | `context.date`; `context.hint`; `app_config.daily_dir`; `app_config.timezone`; `file_store.vault_path`; `file_catalog.dream`; step 参数 `topic_session_id=interests` | `dream.date`; `dream.hint`; `dream.daily_dir`; `dream.vault`; `dream.existing`; `dream.indexed`; `dream.changed_paths`; `dream.deleted_paths`; `dream.units`; `dream.topics`; `dream.extract_summary`; `dream.result.files_scanned/files_changed/files_deleted`; `dream.errors` | 刷新 `daily/<date>.md`; 删除 catalog 中缺失文件 entry; 读取所有 changed files; 本 step 不写 digest |
|
||||
| `dream_integrate_step` | 是 | `for unit in units` 逐个执行原 Phase 2 integrate 逻辑,保持 node_search/read/write/edit/frontmatter_update 工具和 bucket prompt 不变 | `dream.units`; `dream.hint`; `dream.vault`; `app_config.digest_dir`; agent tools: `node_search/read/frontmatter_read/write/edit/frontmatter_update` | `dream.integrate_results`; `dream.nodes_created`; `dream.nodes_updated`; `dream.result.units_integrated/units_failed`; `dream.errors` | 写/更新 `digest/<bucket>/*.md`; 不更新 dream catalog |
|
||||
| `dream_topics_step` | 是 | 根据 `topic_list` 更新 `daily/<date>/interests.yaml`; 读取当天已有 topics 和最近 N 天 topics 做去重 | `dream.date`; `dream.daily_dir`; `dream.topics`; `file_store.vault_path`; step 参数 `topic_count`; `topic_diversity_days`; `topic_session_id=interests` | `dream.topics_path=daily/<date>/interests.yaml`; `dream.topics_written`; `dream.topics_merged`; `dream.topics_skipped_duplicates`; `dream.errors` | 新建或更新 `daily/<date>/interests.yaml`; 刷新 `daily/<date>.md` |
|
||||
| `dream_finish_step` | 否 | 统一收口:按 path checkpoint 成功处理的文件,持久化 catalog,渲染 summary 和 response metadata | `dream.changed_paths`; `dream.deleted_paths`; `dream.failed_paths`; `dream.integrate_results`; `dream.topics_path`; `dream.errors`; `dream.result`; `file_catalog.dream`; step 参数 `persist=true` | `context.response.success`; `context.response.answer`; `context.response.metadata` | upsert successful paths 的 mtime 到 `file_catalog.dream`; upsert `interests.yaml` 和 day-index mtime; `file_catalog.dump()` |
|
||||
|
||||
### Step 1: `dream_extract_step`
|
||||
|
||||
这是新的全局 Phase 1。它合并了当前 `auto_dream_step` 的扫描/diff 和当前 `DreamStep._extract()` 的抽取能力。
|
||||
|
||||
职责:
|
||||
|
||||
- 解析 `date` / `hint`。
|
||||
- 刷新 day-index: `daily/<date>.md`。
|
||||
- 扫描输入文件并统一交给 extract agent:
|
||||
- `daily/<date>.md`
|
||||
- `daily/<date>/<session_id>.md`
|
||||
- `daily/<date>/<resource_stem>.md`
|
||||
- 以及 `daily/<date>/**/*.md` 下其它当天 note
|
||||
- 排除自生成文件:
|
||||
- `daily/<date>/interests.yaml`
|
||||
- 读取 `file_catalog.dream`,按 mtime diff 出:
|
||||
- `changed_paths`
|
||||
- `unchanged_paths`
|
||||
- `deleted_paths`
|
||||
- 删除 catalog 中 `deleted_paths`。
|
||||
- 打包所有 `changed_paths` 的文件内容。
|
||||
- 调用一次 extract agent,让它看见所有 changed paths。
|
||||
- 输出跨文件合并后的 `unit_list` 和 `topic_list`。
|
||||
|
||||
新的 unit schema:
|
||||
|
||||
```python
|
||||
class DreamUnit(BaseModel):
|
||||
name: str
|
||||
bucket: Literal["procedure", "personal", "wiki"]
|
||||
summary: str
|
||||
paths: list[str]
|
||||
```
|
||||
|
||||
`paths` 是这个 unit 的证据来源列表。多个文件讲的是同一抽象时,Phase 1 必须合并成一个 unit:
|
||||
|
||||
```json
|
||||
{
|
||||
"name": "jwt-session-expiry-policy",
|
||||
"bucket": "procedure",
|
||||
"summary": "How the project decides session expiry from compliance and product constraints.",
|
||||
"paths": [
|
||||
"daily/2026-06-18/auth.md",
|
||||
"daily/2026-06-18/api-review.md"
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
topic schema 可以沿用当前 `TopicCandidate`,但建议把来源改成 `paths`:
|
||||
|
||||
```python
|
||||
class DreamTopicCandidate(BaseModel):
|
||||
title: str
|
||||
reason: str
|
||||
evidence: str
|
||||
keywords: list[str] = []
|
||||
paths: list[str] = []
|
||||
```
|
||||
|
||||
输出到 context:
|
||||
|
||||
```python
|
||||
{
|
||||
"dream": {
|
||||
"date": "YYYY-MM-DD",
|
||||
"changed_paths": [
|
||||
{"path": "daily/YYYY-MM-DD/a.md", "mtime": 1710000000.0}
|
||||
],
|
||||
"deleted_paths": [],
|
||||
"units": [
|
||||
{
|
||||
"name": "jwt-session-expiry-policy",
|
||||
"bucket": "procedure",
|
||||
"summary": "...",
|
||||
"paths": ["daily/YYYY-MM-DD/a.md", "daily/YYYY-MM-DD/b.md"]
|
||||
}
|
||||
],
|
||||
"topics": [
|
||||
{
|
||||
"title": "...",
|
||||
"reason": "...",
|
||||
"evidence": "...",
|
||||
"keywords": ["..."],
|
||||
"paths": ["daily/YYYY-MM-DD/a.md"]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
LLM 调用数量:
|
||||
|
||||
```text
|
||||
1 个 agent 任务
|
||||
```
|
||||
|
||||
注意:
|
||||
|
||||
- 这个 step 不再为每个文件分别调用 `dream_extract`。
|
||||
- 如果 `changed_paths` 为空,它不调用 LLM,直接输出空 `units/topics`。
|
||||
- 只有 `dream_finish_step` 才把 changed file mtime 标为已处理。这样 integrate/topics 失败时不会误跳过。
|
||||
|
||||
### Step 2: `dream_integrate_step`
|
||||
|
||||
这是新的全局 Phase 2。它对 Step 1 输出的 `units` 做 Python for 循环,每个 unit 的 integrate 逻辑保持当前 `DreamStep._integrate_unit()` 不变。
|
||||
|
||||
职责:
|
||||
|
||||
- 遍历 `dream.units`。
|
||||
- 每个 unit 根据 `unit.bucket` 选择:
|
||||
- `integrate_system_prompt_procedure`
|
||||
- `integrate_system_prompt_personal`
|
||||
- `integrate_system_prompt_wiki`
|
||||
- material 不再是单文件 blob,而是这个 unit 对应 `paths` 的证据包。
|
||||
- 调用当前相同工具:
|
||||
- `node_search`
|
||||
- `read`
|
||||
- `frontmatter_read`
|
||||
- `write`
|
||||
- `edit`
|
||||
- `frontmatter_update`
|
||||
- 输出 `IntegrateOutcome`。
|
||||
|
||||
`integrate_user_message` 需要从单 `material_blob` 改成多路径 evidence blob:
|
||||
|
||||
```text
|
||||
unit_name: ...
|
||||
unit_bucket: ...
|
||||
unit_summary: ...
|
||||
source_paths:
|
||||
- daily/...
|
||||
- daily/...
|
||||
|
||||
# Evidence materials
|
||||
### daily/.../a.md
|
||||
...
|
||||
|
||||
### daily/.../b.md
|
||||
...
|
||||
```
|
||||
|
||||
输出:
|
||||
|
||||
```python
|
||||
{
|
||||
"dream": {
|
||||
"integrate_results": [
|
||||
{
|
||||
"unit_name": "jwt-session-expiry-policy",
|
||||
"bucket": "procedure",
|
||||
"action": "CREATE",
|
||||
"target_path": "digest/procedure/jwt-session-expiry-policy.md",
|
||||
"source_paths": ["daily/YYYY-MM-DD/a.md", "daily/YYYY-MM-DD/b.md"],
|
||||
"note": "..."
|
||||
}
|
||||
],
|
||||
"nodes_created": ["digest/procedure/jwt-session-expiry-policy.md"],
|
||||
"nodes_updated": []
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
LLM 调用数量:
|
||||
|
||||
```text
|
||||
N 个 agent 任务
|
||||
N = len(dream.units)
|
||||
```
|
||||
|
||||
失败策略建议:
|
||||
|
||||
- 任一 unit integrate 失败,记录到 `dream.errors`。
|
||||
- 因为每个 unit 都有明确的 `paths`,失败 unit 对应的 paths 进入 `dream.failed_paths`。
|
||||
- `dream_finish_step` 不 checkpoint `failed_paths`。
|
||||
- 不在任何失败 unit `paths` 里的 changed paths 可以 checkpoint。
|
||||
- 如果同一个 path 同时出现在成功 unit 和失败 unit 中,以失败为准,该 path 不 checkpoint。
|
||||
|
||||
### Step 3: `dream_topics_step`
|
||||
|
||||
这个 step 取代当前 `daily_topics_step`。目标文件固定为:
|
||||
|
||||
```text
|
||||
daily/<date>/interests.yaml
|
||||
```
|
||||
|
||||
职责:
|
||||
|
||||
- 读取 `dream.topics`。
|
||||
- 如果 `daily/<date>/interests.yaml` 已存在,读取旧 topics。
|
||||
- 读取最近 `topic_diversity_days` 天的 `daily/<previous-date>/interests.yaml` 作为历史去重上下文。
|
||||
- 合并当天旧 topics + 新 topics。
|
||||
- 去重:
|
||||
- 标题 normalize 后相同视为重复。
|
||||
- keywords 高重叠视为可能重复。
|
||||
- evidence/paths 完全相同视为重复。
|
||||
- 与最近 N 天历史 topics 重复时跳过。
|
||||
- 可选使用 LLM 对候选 topic 做最终选择和改写。
|
||||
- 写回 YAML。
|
||||
- 刷新 day-index。
|
||||
|
||||
建议 YAML 格式:
|
||||
|
||||
```yaml
|
||||
date: "2026-06-18"
|
||||
updated_at: "2026-06-18T22:00:00+08:00"
|
||||
topic_count: 3
|
||||
diversity_days: 7
|
||||
topics:
|
||||
- title: "JWT session expiry policy"
|
||||
reason: "The user repeatedly worked through compliance-driven auth expiry tradeoffs."
|
||||
evidence: "Mentioned in auth review and API notes."
|
||||
keywords: ["auth", "jwt", "session", "compliance"]
|
||||
paths:
|
||||
- "daily/2026-06-18/auth.md"
|
||||
- "daily/2026-06-18/api-review.md"
|
||||
```
|
||||
|
||||
输入:
|
||||
|
||||
```text
|
||||
dream.date
|
||||
dream.daily_dir
|
||||
dream.topics
|
||||
topic_count
|
||||
topic_diversity_days
|
||||
topic_session_id
|
||||
```
|
||||
|
||||
输出:
|
||||
|
||||
```python
|
||||
{
|
||||
"dream": {
|
||||
"topics_path": "daily/YYYY-MM-DD/interests.yaml",
|
||||
"topics_written": 3,
|
||||
"topics_merged": 5,
|
||||
"topics_skipped_duplicates": 2
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
LLM 调用数量:
|
||||
|
||||
```text
|
||||
0 或 1 个 agent 任务
|
||||
```
|
||||
|
||||
建议:
|
||||
|
||||
- 如果只是 append/去重,不必 LLM。
|
||||
- 如果需要从很多 candidates 中挑 `topic_count` 个,才调用 LLM。
|
||||
- 不读取也不写 `interests.md`;全新格式只认 `interests.yaml`。
|
||||
|
||||
### Step 4: `dream_finish_step`
|
||||
|
||||
这是非 LLM 收尾 step。
|
||||
|
||||
职责:
|
||||
|
||||
- 根据前面步骤结果决定 success。
|
||||
- 计算 `failed_paths`:
|
||||
- 每个失败 unit 的 `unit.paths` 都进入 failed set。
|
||||
- 如果某个 path 同时属于成功 unit 和失败 unit,以失败为准。
|
||||
- 计算 `checkpoint_paths`:
|
||||
- `changed_paths - failed_paths`
|
||||
- extract 成功但没有任何 unit/topics 的 changed paths 也可以 checkpoint,避免重复空跑。
|
||||
- 把 `checkpoint_paths` 的当前 mtime upsert 到 `file_catalog.dream`。
|
||||
- 把 `daily/<date>/interests.yaml` 的 mtime upsert 到 `file_catalog.dream`。
|
||||
- 把刷新后的 `daily/<date>.md` 的 mtime upsert 到 `file_catalog.dream`。
|
||||
- `deleted_paths` 的 catalog 删除在 extract step 已完成,finish 只负责 dump。
|
||||
- `file_catalog.dump()`。
|
||||
- 渲染 summary。
|
||||
- 写 `context.response.metadata`。
|
||||
|
||||
输出 metadata 建议:
|
||||
|
||||
```python
|
||||
{
|
||||
"date": "YYYY-MM-DD",
|
||||
"files_scanned": 10,
|
||||
"files_changed": 3,
|
||||
"files_deleted": 1,
|
||||
"paths_checkpointed": ["daily/2026-06-18/a.md"],
|
||||
"paths_failed": ["daily/2026-06-18/b.md"],
|
||||
"units_extracted": 4,
|
||||
"units_integrated": 4,
|
||||
"units_failed": 0,
|
||||
"topics_written": 3,
|
||||
"nodes_created": [...],
|
||||
"nodes_updated": [...],
|
||||
"errors": []
|
||||
}
|
||||
```
|
||||
|
||||
## 6. 拆分后的 YAML 形态
|
||||
|
||||
建议把 `auto_dream` 改成新的 dream pipeline:
|
||||
|
||||
```yaml
|
||||
auto_dream:
|
||||
backend: base
|
||||
description: "Auto-dream: scan daily changes, extract cross-file units, integrate digest nodes, update daily interests."
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
date:
|
||||
type: string
|
||||
description: "YYYY-MM-DD to scan; defaults to today in the dreamer's timezone"
|
||||
default: ""
|
||||
hint:
|
||||
type: string
|
||||
description: "caller guidance passed through to the dreamer LLM"
|
||||
default: ""
|
||||
steps:
|
||||
- backend: dream_extract_step
|
||||
file_catalog: dream
|
||||
topic_session_id: interests
|
||||
- backend: dream_integrate_step
|
||||
- backend: dream_topics_step
|
||||
topic_count: 3
|
||||
topic_diversity_days: 7
|
||||
topic_session_id: interests
|
||||
- backend: dream_finish_step
|
||||
file_catalog: dream
|
||||
persist: true
|
||||
```
|
||||
|
||||
旧 job 删除,不做兼容 wrapper:
|
||||
|
||||
```yaml
|
||||
dream:
|
||||
# 删除
|
||||
|
||||
dream_extract:
|
||||
# 删除
|
||||
|
||||
daily_topics:
|
||||
# 删除
|
||||
```
|
||||
|
||||
## 7. 数据结构建议
|
||||
|
||||
建议所有跨 step 状态都放在 `context["dream"]`。
|
||||
|
||||
核心模型:
|
||||
|
||||
```python
|
||||
class DreamUnit(BaseModel):
|
||||
name: str
|
||||
bucket: Literal["procedure", "personal", "wiki"]
|
||||
summary: str
|
||||
paths: list[str] = Field(default_factory=list)
|
||||
|
||||
|
||||
class DreamTopic(BaseModel):
|
||||
title: str
|
||||
reason: str
|
||||
evidence: str = ""
|
||||
keywords: list[str] = Field(default_factory=list)
|
||||
paths: list[str] = Field(default_factory=list)
|
||||
|
||||
|
||||
class DreamState(BaseModel):
|
||||
date: str = ""
|
||||
hint: str = ""
|
||||
daily_dir: str = "daily"
|
||||
vault: str = ""
|
||||
changed_paths: list[dict] = Field(default_factory=list)
|
||||
unchanged_paths: list[str] = Field(default_factory=list)
|
||||
deleted_paths: list[str] = Field(default_factory=list)
|
||||
failed_paths: list[str] = Field(default_factory=list)
|
||||
checkpoint_paths: list[str] = Field(default_factory=list)
|
||||
units: list[DreamUnit] = Field(default_factory=list)
|
||||
topics: list[DreamTopic] = Field(default_factory=list)
|
||||
integrate_results: list[dict] = Field(default_factory=list)
|
||||
nodes_created: list[str] = Field(default_factory=list)
|
||||
nodes_updated: list[str] = Field(default_factory=list)
|
||||
topics_path: str = ""
|
||||
topics_written: int = 0
|
||||
errors: list[str] = Field(default_factory=list)
|
||||
result: dict = Field(default_factory=dict)
|
||||
```
|
||||
|
||||
## 8. 实现任务
|
||||
|
||||
这是一次 breaking rewrite,不存在旧接口/旧格式迁移任务。剩余工作就是按新设计实现 4 个 step。
|
||||
|
||||
必须实现:
|
||||
|
||||
1. 在 `reme4/steps/evolve/dream/` 下新增 `models.py`、helper 和 4 个 step 文件。
|
||||
2. 重写 prompts:
|
||||
- `extract_system_prompt`
|
||||
- `extract_user_message`
|
||||
- `integrate_system_prompt_procedure`
|
||||
- `integrate_system_prompt_personal`
|
||||
- `integrate_system_prompt_wiki`
|
||||
- `integrate_user_message`
|
||||
- 可参考旧 prompt 的内容,但不保持旧 prompt 接口。
|
||||
3. 实现 `dream_extract_step`:
|
||||
- 扫描 `daily/<date>.md` 与 `daily/<date>/**/*.md`。
|
||||
- 排除 `daily/<date>/interests.yaml`。
|
||||
- 根据 `file_catalog.dream` 计算 changed/unchanged/deleted。
|
||||
- 一个 agent 统一读取所有 changed paths,输出全局 units/topics。
|
||||
- 清洗 units: unknown bucket fallback 到 `wiki`; paths 去重; paths 必须来自 changed paths。
|
||||
4. 实现 `dream_integrate_step`:
|
||||
- 按 `unit.paths` 打包 evidence。
|
||||
- for 循环逐 unit integrate。
|
||||
- 保留工具集合和 action 语义。
|
||||
- unit 失败时记录 `failed_paths += unit.paths`。
|
||||
5. 实现 `dream_topics_step`:
|
||||
- 只读写 `daily/<date>/interests.yaml`。
|
||||
- 读取当天已有 YAML topics。
|
||||
- 读取最近 `topic_diversity_days` 天的 `interests.yaml` 做历史去重。
|
||||
- 写回去重后的 YAML。
|
||||
- 刷新 day-index。
|
||||
6. 实现 `dream_finish_step`:
|
||||
- `checkpoint_paths = changed_paths - failed_paths`。
|
||||
- checkpoint 成功 paths 的 mtime。
|
||||
- checkpoint `interests.yaml` 和 `daily/<date>.md`。
|
||||
- dump `file_catalog.dream`。
|
||||
- 输出全新 response metadata。
|
||||
7. 更新 `default.yaml`:
|
||||
- `auto_dream` 改为 4-step pipeline。
|
||||
- 删除 `dream`、`dream_extract`、`daily_topics` job。
|
||||
- 保留 `file_catalog.dream`。
|
||||
8. 删除旧代码:
|
||||
- `reme4/steps/evolve/auto_dream.py`
|
||||
- `reme4/steps/evolve/dream.py`
|
||||
- `reme4/steps/evolve/daily_topics.py`
|
||||
- 更新 `reme4/steps/evolve/__init__.py`。
|
||||
|
||||
现在没有保留的迁移项:
|
||||
|
||||
- 不兼容 `interests.md`。
|
||||
- 不保留单文件 `dream path=...`。
|
||||
- 不保留 `dream_extract` job。
|
||||
- 不保留 `daily_topics` job。
|
||||
- 不要求 response metadata 兼容 `AutoDreamResult`。
|
||||
- 不要求 prompt 入参兼容旧 `dream.yaml`。
|
||||
|
||||
## 9. 推荐测试用例
|
||||
|
||||
最低测试集:
|
||||
|
||||
| 场景 | 期望 |
|
||||
|---|---|
|
||||
| 当天没有任何文件 | scanned=0,success=true,no topics |
|
||||
| 只有 day-index 新增 | `dream_extract_step` 调用一次全局 extract,finish checkpoint day-index |
|
||||
| session note 新增 | extract evidence 中 day-index first,session notes sorted |
|
||||
| session note mtime 未变 | unchanged+1,不进入 changed evidence |
|
||||
| session note 删除 | catalog delete |
|
||||
| `interests.yaml` 存在 | 不进入 scan/diff/changed evidence |
|
||||
| 多个文件产出同一抽象 | extract 输出 1 个 unit,`paths` 包含多个 source path |
|
||||
| extract 输出空 units/topics | finish 仍 checkpoint changed files,避免重复空跑 |
|
||||
| 某个 unit integrate 失败 | 该 unit 的 `paths` 不 checkpoint,response failure |
|
||||
| 同一 path 同时属于成功和失败 unit | 失败优先,该 path 不 checkpoint |
|
||||
| 其它 path 的 units 都成功 | 这些 path 可以 checkpoint |
|
||||
| 有 topic candidates | 写/更新 `daily/<date>/interests.yaml`,记录 topics_path/topics_written |
|
||||
| 已存在 `interests.yaml` | 合并新旧 topics,不重复 |
|
||||
| 最近 N 天已有相同 topic | 当前日 topics 去重跳过 |
|
||||
| extract 输出 unknown bucket | 清洗后 bucket=`wiki` |
|
||||
| prompt 输出 path 不在 changed paths | 该 unit 被丢弃或修正,不能 checkpoint 不明来源 |
|
||||
|
|
@ -1,330 +0,0 @@
|
|||
# auto-cognition 设计(顶层:心智循环)
|
||||
|
||||
> 本文档:reme4 中**长期记忆系统**的顶层认知模型 —— 把 agent 的记忆生命周期类比人类睡眠/觉醒回路,推导出**三阶段分工**与**15 维能力清单**。
|
||||
>
|
||||
> **三阶段实现各有专属文档**:
|
||||
> - Stage 1 写入(REM 重放抽象) → `auto_dream_design.md`
|
||||
> - Stage 2 巩固(NREM 深度整合) → `auto_consolidate_design.md`
|
||||
> - Stage 3 检索(觉醒态提取) → `auto_recall_design.md`
|
||||
>
|
||||
> 配套阅读:
|
||||
> - `auto_memory_design.md`:入流端(daily 写入),与 cognition 平行 —— cognition 负责"已落地后的认知循环",memory 负责"经历落地"
|
||||
> - `structure.md` §4(retrieve 三种问法)
|
||||
>
|
||||
> **核心立场**:
|
||||
> - 长期记忆不是"存 + 取"两个动作,是**写入 → 巩固 → 提取**的循环 —— 三段时间尺度不同(同步 / 周期 / 同步),设计形态不同
|
||||
> - vault 是**事实层**,只承载经过 LLM 写入认证的关系;`meta/` 是**派生层**,承载概率推断的统计信号
|
||||
> - 任一阶段独立演化,任一信号缺失系统降级而不崩
|
||||
|
||||
---
|
||||
|
||||
## 0. 心智循环:reme 的认知模型
|
||||
|
||||
agent 的长期记忆系统在概念上对应人脑的**海马—皮层回路 + 睡眠—觉醒周期**:
|
||||
|
||||
```
|
||||
┌─────────────────────────────────┐
|
||||
│ 外部经验(daily / resource) │
|
||||
└─────────────┬───────────────────┘
|
||||
│ (auto-memory 写 daily)
|
||||
▼
|
||||
┌─────────────────────────────────────────────────┐
|
||||
│ │
|
||||
│ ┌────────────────┐ 抽象 / 关系编织 │
|
||||
│ │ Stage 1 │ ◄─ 类比 REM 睡眠 │
|
||||
│ │ auto-dream │ "重放 + 写进 schema" │
|
||||
│ └───────┬────────┘ │
|
||||
│ │ 写 vault(digest body + wikilink) │
|
||||
│ ▼ │
|
||||
│ ┌────────────────┐ │
|
||||
│ │ vault(事实) │ │
|
||||
│ └───────┬────────┘ │
|
||||
│ │ 只读 │
|
||||
│ ▼ │
|
||||
│ ┌────────────────┐ 长期组织 / 派生指标 │
|
||||
│ │ Stage 2 │ ◄─ 类比 NREM 慢波睡眠 │
|
||||
│ │ auto-consol- │ "巩固 + 修剪 + 集群" │
|
||||
│ │ idate │ │
|
||||
│ └───────┬────────┘ │
|
||||
│ │ 写 meta/ + audit/(派生层) │
|
||||
│ ▼ │
|
||||
│ ┌────────────────┐ │
|
||||
│ │ meta(派生) │ │
|
||||
│ └───────┬────────┘ │
|
||||
│ │ 只读 │
|
||||
│ ▼ │
|
||||
│ ┌────────────────┐ query → 答案合成 │
|
||||
│ │ Stage 3 │ ◄─ 类比觉醒态 cue retrieval│
|
||||
│ │ auto-recall │ "融合 + pattern complete"│
|
||||
│ └───────┬────────┘ │
|
||||
│ │ │
|
||||
└───────────┼─────────────────────────────────────┘
|
||||
│ 召回结果给 agent
|
||||
▼
|
||||
┌─────────────────────────────────┐
|
||||
│ agent query │
|
||||
└─────────────────────────────────┘
|
||||
```
|
||||
|
||||
**心智循环回答四个根本问题**:
|
||||
|
||||
| 问题 | 谁回答 |
|
||||
|---|---|
|
||||
| 我经历过什么? | auto-memory(daily 入流) |
|
||||
| 我从中学到什么? | Stage 1 — auto-dream |
|
||||
| 这些知识如何长期组织? | Stage 2 — auto-consolidate |
|
||||
| 我需要时如何调用? | Stage 3 — auto-recall |
|
||||
|
||||
memory 负责"经历落地",cognition 三阶段负责"已落地经历的认知循环"。
|
||||
|
||||
---
|
||||
|
||||
## 1. 三阶段全景
|
||||
|
||||
| 阶段 | 神经科学类比 | 时间尺度 | 改 vault | 实现归属 |
|
||||
|---|---|---|---|---|
|
||||
| **Stage 1 dream** | REM 重放抽象 | 同步(随入流即跑) | 是(写 digest body) | `auto_dream_design.md` |
|
||||
| **Stage 2 consolidate** | NREM 深度巩固 | 周期 / idle(daily / weekly)| **否**(写 `meta/` + `audit/`)| `auto_consolidate_design.md` |
|
||||
| **Stage 3 recall** | 觉醒态 cue retrieval | 同步(query 触发) | 否(只读;唯一对外写是 `meta/access_log.json`)| `auto_recall_design.md` |
|
||||
|
||||
**关键的不对称**:
|
||||
- 写入与检索是**同步**的(用户 / agent 等待),巩固是**离线**的(idle / 周期)
|
||||
- 改 vault 的资格被严格限制在 **dream + consolidate 中的 split** —— 其它阶段全只读
|
||||
- 三阶段时间尺度差三个数量级,这是设计形态(同步 vs 异步 vs idle)的根本来源
|
||||
|
||||
---
|
||||
|
||||
## 2. 系统级能力(贯穿三阶段)
|
||||
|
||||
不属任何单阶段,但任一阶段不能违反:
|
||||
|
||||
| 能力 | 含义 |
|
||||
|---|---|
|
||||
| **事实层 vs 派生层分离** | vault 只承载经 LLM 写入认证的关系(显式 wikilink);`meta/` 承载概率推断的派生指标(community / recency / archived);两者绝不混同 |
|
||||
| **不变量守恒** | F-invariants(0 文件移动 / 改正文限定 subject / wikilink 是 body 一部分)+ E-invariants(边守恒 E-1/E-2/E-3)横跨三阶段;详 `auto_dream_design.md` §4.3-§4.4 |
|
||||
| **阶段独立演化** | 任一阶段算法升级不破坏其它阶段(community 算法换 → dream 不变;打分公式调 → consolidate 不变) |
|
||||
| **缺失即降级** | 任一派生信号缺失,系统降级而不崩;冷启动可用 |
|
||||
| **全程可审计** | 每阶段产 audit / report / log,人 / agent 可检视追溯 |
|
||||
|
||||
---
|
||||
|
||||
## 3. Stage 1 — auto-dream:经验 → 抽象
|
||||
|
||||
**类比**:REM 睡眠的记忆重放与抽象提炼。脑在做梦时把白天事件拆解、重组,提取出可泛化的模式,登记进皮层 schema。
|
||||
|
||||
**根本目的**:把"原始经历"转化为"长期值得调取的教训",同时把它编织进已有知识图谱。
|
||||
|
||||
### 3.1 五个能力维度
|
||||
|
||||
逻辑递进 —— 输入 → 抽象 → 整合 → 编织 → 写入:
|
||||
|
||||
| # | 能力 | 它在问什么 | 失效后果 |
|
||||
|---|---|---|---|
|
||||
| 1 | **抽象判断**(gate) | 这段材料里有"值得长期记住"的东西吗? | 噪声进 vault / 只蒸馏不抽象 |
|
||||
| 2 | **经验重放**(召回) | 这个抽象在已有记忆里**已经存在**吗?以什么形式? | 重复节点 / 错过整合机会 |
|
||||
| 3 | **整合决策** | 创建新节点,还是丰富已有节点?若已有 —— 是再次印证 / 精化范围 / 修正错误? | 已有信息丢失 / 错误没纠正 |
|
||||
| 4 | **关系编织** | 这个抽象与谁有关系?谁是它的来源? | wikilink 缺失,后续 retrieve 漏召 |
|
||||
| 5 | **写入安全** | 写入会不会破坏 vault 既有事实?并发冲突如何处理? | 边丢失 / race condition |
|
||||
|
||||
### 3.2 关键定性
|
||||
|
||||
- dream 是 vault 的**唯一写者**(在 cognition 三阶段里;memory 写 daily 不算)
|
||||
- **写入瞬间是关系建立的唯一可信时机** —— 错过的关系不靠后台扫回(那不是 consolidate 的工作)
|
||||
- 一次写入,所有未来检索受益(持久化优于实时计算)
|
||||
|
||||
详细机制见 `auto_dream_design.md`。
|
||||
|
||||
---
|
||||
|
||||
## 4. Stage 2 — auto-consolidate:抽象 → 网络
|
||||
|
||||
**类比**:NREM 慢波睡眠的系统巩固 + 突触代谢稳态。脑在深睡时把分散事件融入 schema、修剪弱连接、把长期不用的记忆淡出意识可达范围。
|
||||
|
||||
**根本目的**:跨时间累积地把 vault 从"一堆节点"组织成"有结构、有权重、有时效的网络",但**只产派生信号,不污染事实层**。
|
||||
|
||||
### 4.1 五个能力维度
|
||||
|
||||
按作用尺度从微观到宏观:
|
||||
|
||||
| # | 能力 | 作用尺度 | 类比 | 输出形态 |
|
||||
|---|---|---|---|---|
|
||||
| 1 | **结构维护** | 节点级 | 海马表征过密 → 分化新单元 | 改 vault(split,唯一例外)|
|
||||
| 2 | **跨节点关系发现** | 节点对级 | 多次睡眠中识别"同一件事" → schema | `audit/` 报告 |
|
||||
| 3 | **主题集群形成** | 子图级 | 皮层网络的功能性分区 | `meta/communities.json` |
|
||||
| 4 | **时效性管理** | 节点级 / 时间维度 | 突触代谢稳态 + 遗忘 | `meta/access_log.json` + `meta/archived.json` |
|
||||
| 5 | **健康监控** | 系统级 | 神经环路诊断 | 告警 / 严重告警 |
|
||||
|
||||
### 4.2 关键定性
|
||||
|
||||
- consolidate 是**纯只读 + 派生写**(读 vault,写 `meta/` + `audit/`)
|
||||
- **唯一例外是 split** —— 改 vault 的维护任务,但触发严格(D3 inline 写后)且只改自身负责的 parent + children
|
||||
- **关系判断有错率 → 报告优先,人/agent 介入,不主动合并**(夸大置信度的代价是污染事实层)
|
||||
- 离线 / 周期 / idle —— 与前台不抢资源;失败不影响主流程,下次重跑
|
||||
|
||||
详细机制见 `auto_consolidate_design.md`。
|
||||
|
||||
---
|
||||
|
||||
## 5. Stage 3 — auto-recall:网络 → 答案
|
||||
|
||||
**类比**:觉醒态的 cue-driven retrieval + pattern completion。脑接到 query,激活相关皮层模式,补全成完整答案;同时召回过程本身强化被用到的记忆痕迹。
|
||||
|
||||
**根本目的**:接到当前 query 时,从 vault + 派生信号合成最相关的过去经验 —— 既要**覆盖率**(不漏)也要**信噪比**(不冗余)。
|
||||
|
||||
### 5.1 五个能力维度
|
||||
|
||||
按召回流程从输入到输出:
|
||||
|
||||
| # | 能力 | 它在解决什么 |
|
||||
|---|---|---|
|
||||
| 1 | **多路召回** | 不同问法走不同算子(state / semantic / topological 三分立);agent 自选,不强加聚合 verb |
|
||||
| 2 | **多信号融合** | 单一文本相似度不够 —— 还要节点权威性 / 主题集群 / 时效性;乘法融合 |
|
||||
| 3 | **信噪比管理** | 节点级去重 + 节点级 surface(frontmatter 一同呈现)+ multi-hop 可控展开 + 冷藏过滤 |
|
||||
| 4 | **召回反馈** | 被命中的节点 → 写访问日志 → 影响下次 recency / archived 判定 |
|
||||
| 5 | **鲁棒降级** | 派生信号缺失 → 退到基础召回;version 不兼容 → warning + 跳过该因子 |
|
||||
|
||||
### 5.2 关键定性
|
||||
|
||||
- recall 是**只读** —— 唯一对外写入是 `meta/access_log.json`(经 ring buffer + consolidate 聚合)
|
||||
- recall **不引入新 L4 模块**(`structure.md` ✗-15)—— 三种问法分别由 L3 原子工具(`list_step` / `search_step` / `traverse_step`)直接覆盖
|
||||
- 默认路径 **0 LLM 调用**(信号都是离线维护好的);LLM rerank / query rewrite 是 SDK 上层选项
|
||||
|
||||
详细机制见 `auto_recall_design.md`。
|
||||
|
||||
---
|
||||
|
||||
## 6. 能力地图(横切视角)
|
||||
|
||||
15 维按"作用对象"重排,可以看到三阶段如何分工:
|
||||
|
||||
| 作用对象 | dream(写入) | consolidate(巩固)| recall(检索)|
|
||||
|---|---|---|---|
|
||||
| **节点(单个)** | 1 抽象判断 / 3 整合决策 / 5 写入安全 | 1 结构维护(split) | 3 信噪比(节点级合并/surface) |
|
||||
| **节点对 / 关系** | 4 关系编织(wikilink) | 2 跨节点关系发现(dups 报告) | (消费已有边,不产新关系) |
|
||||
| **子图 / 集群** | 2 经验重放(召回邻居) | 3 主题集群形成(community)| 2 多信号融合(community boost) |
|
||||
| **时间维度** | (写入瞬间) | 4 时效性管理(decay / archived)| 4 召回反馈(access log)|
|
||||
| **系统健康** | 5 守恒校验 | 5 健康监控(D1 / D10) | 5 鲁棒降级 |
|
||||
| **入口形态** | 异步 fan-out per sub-unit | 周期 batch / idle | 同步 query response |
|
||||
|
||||
**几个观察**:
|
||||
- "节点对 / 关系"列在 recall 是空 —— recall 不产新关系,只用已有边(避免 query-time 高成本推断)
|
||||
- "时间维度"行 dream 缺位 —— 写入瞬间无"时间维度"概念(那是 consolidate 后续才能提取的统计)
|
||||
- 每行至少有一个阶段负责 —— 没有能力被全阶段忽略
|
||||
|
||||
---
|
||||
|
||||
## 7. 跨阶段不变量
|
||||
|
||||
所有阶段共同遵守的硬约束。任何阶段越界 = 设计错误。
|
||||
|
||||
### 7.1 F-invariants(继承 `auto_dream_design.md` §4.3)
|
||||
|
||||
| # | 约束 | 跨阶段含义 |
|
||||
|---|---|---|
|
||||
| F-1 | 0 文件移动 | 没有任何阶段可以 move 文件;rename 走 `wikilink_handler.retarget_links` 显式路径 |
|
||||
| F-2 | 改正文限定 subject | dream 改 subject body / consolidate split 改 parent + children body;**recall 绝不改任何 body** |
|
||||
| F-3 | maintainer 只做 split | consolidate 内的结构维护只做 split;无 merge / dissolve / re-edge |
|
||||
| F-10 | inbound 不动 | split 后外部 wikilink 仍指 parent,不强制重定向 |
|
||||
| F-11 | wikilink 是 body 一部分 | 没有"独立的边";所有关系变化是 body 编辑副作用 |
|
||||
|
||||
### 7.2 E-invariants(边守恒)
|
||||
|
||||
- E-1:dream update 出边 ⊇ 原出边
|
||||
- E-2:split 后 `(parent_new ∪ ∪children_outbound) ⊇ parent_old`
|
||||
- E-3:inbound wikilink split 时不动
|
||||
|
||||
**recall 不写 body** → E-* 与之无关;但 recall 看到的 wikilink 图永远是 dream / split 守恒后的状态。
|
||||
|
||||
### 7.3 派生信号边界
|
||||
|
||||
- **consolidate / recall 不写 vault** —— 关系判断、活跃度统计、社区划分都是概率推断,不污染事实层
|
||||
- **`meta/*.json` 不被 retrieve 召回** —— 只作权重信号,不进入"召回结果"集合
|
||||
- **audit/ 不被自动消费** —— 报告永远等待人 / agent 介入,不闭环回写
|
||||
|
||||
---
|
||||
|
||||
## 8. 跨阶段数据流(契约总览)
|
||||
|
||||
```
|
||||
┌──────────────┐ wikilink ┌──────────────┐
|
||||
│ auto-dream │─落 body──►│ vault/ │
|
||||
│ (Stage 1) │ │ (事实层) │
|
||||
└──────────────┘ └──────┬──────┘
|
||||
│ 只读
|
||||
▼
|
||||
┌──────────────────┐
|
||||
│ auto-consolidate │
|
||||
│ (Stage 2) │
|
||||
└─┬────────┬───────┘
|
||||
│ │
|
||||
meta/ 元数据───┘ └─── audit/ 报告
|
||||
(派生层) (人工介入)
|
||||
│
|
||||
│ 只读
|
||||
▼
|
||||
┌──────────────┐
|
||||
│ auto-recall │ ◄─ user query
|
||||
│ (Stage 3) │
|
||||
└──────┬───────┘
|
||||
│ 命中钩子(异步)
|
||||
▼
|
||||
meta/access_log.json
|
||||
(recall 唯一对外写入,经 consolidate 聚合)
|
||||
```
|
||||
|
||||
| 产物 | 路径 | 写入者 | 读取者 | 缺失行为 |
|
||||
|---|---|---|---|---|
|
||||
| **vault wikilink** | `digest/**.md` body | dream / split | recall(图遍历) | — |
|
||||
| **dups 报告** | `audit/<date>/auto_link_dups.md` | consolidate | 人 / agent | — |
|
||||
| **communities** | `meta/communities.json` | consolidate | recall | 不做同社区 boost |
|
||||
| **access log** | `meta/access_log.json` | recall(写命中) + consolidate(聚合) | recall(读 recency)| recency_factor = 1.0 |
|
||||
| **archived list** | `meta/archived.json` | consolidate | recall(默认过滤)| 不过滤 |
|
||||
| **centrality** | `file_graph` 反向索引(实时,不存)| 自动 | recall(O(1) 查) | — |
|
||||
|
||||
**契约稳定性**:`meta/*.json` 都带 `version` + `computed_at`;recall 启动时校验 version,不兼容则降级。
|
||||
|
||||
**冷启动**:`meta/` 为空 → recall 仍能跑(base + centrality + 图)→ 排序略弱不崩。
|
||||
|
||||
---
|
||||
|
||||
## 9. 系统级断言(把"要什么"提炼到 5 条)
|
||||
|
||||
1. **抽象与事实分层** —— vault 是经 LLM 写过的事实;`meta/` 是统计 / 算法的派生;两者绝不混同
|
||||
|
||||
2. **关系建立的时机集中在写入瞬间** —— dream 写入是关系唯一可信来源;consolidate 不补 vault 关系,recall 不预存关系矩阵
|
||||
|
||||
3. **维护是离线的派生劳动,不是补救** —— consolidate 不修 dream 的疏漏(那叫返工),它做的是 dream 不擅长的事(全局视角 / 统计视角 / 时间视角)
|
||||
|
||||
4. **检索是融合,不是检索** —— recall 的价值不在"找文本相似",而在"把文本 / 图 / 时效 / 权威多个独立信号合成一个答案"
|
||||
|
||||
5. **整个心智循环可降级** —— 任一阶段失效或失准,整个系统降级而不崩;冷启动有意义;dogfooding 可演进
|
||||
|
||||
---
|
||||
|
||||
## 10. 与 auto-memory 的边界
|
||||
|
||||
auto-memory 写入的 daily event 节点也是图的一部分(承载 daily → digest 的 `derived_from::` 边)。但 daily 节点**不参与 cognition 三阶段的全部改造**:
|
||||
|
||||
| cognition 阶段 | 是否触及 daily |
|
||||
|---|---|
|
||||
| **dream** | 只读(作为入流之一) |
|
||||
| **consolidate** | 不参与 dups / community / decay(daily 是时间索引,本质不去重 / 不冷藏) |
|
||||
| **recall** | 三层并行召回时 daily 也参与命中(`structure.md` R-2 默认 `digest > daily > resource`) |
|
||||
|
||||
**关键约束**:cognition 三阶段任何子阶段都**不改写 daily**(无写回路径);daily 由 auto-memory 写完即只读。
|
||||
|
||||
---
|
||||
|
||||
## 11. 演进 / 待补
|
||||
|
||||
**当前实现状态**:
|
||||
- ✅ Stage 1 dream 已实现并跑通(`reme4/steps/evolve/dream.py` + `dream.yaml`)
|
||||
- ⏳ Stage 2 consolidate split 部分将实现;dups / community / decay / archived 待实现
|
||||
- ⏳ Stage 3 recall 增强未实现(当前 search.py 已有 vector + keyword + RRF + 一跳 expand)
|
||||
|
||||
**顶层级演进议题**(不属任何单阶段):
|
||||
- ⏳ **能力成熟度路标** —— 把 15 个能力维度按 M0(必须)/ M1(期望)/ M2(演进)分级
|
||||
- ⏳ **跨阶段集成测试** —— vault 从空到充实的端到端 dogfooding,验证三阶段配合是否符合"心智循环"预期
|
||||
- ⏳ **可观测性聚合** —— 三阶段各自的 audit / log 现在分散;是否需要统一的 cognition 健康面板
|
||||
|
||||
各阶段实现进度详见各自文档的"下一步"章节。
|
||||
|
|
@ -1,741 +0,0 @@
|
|||
# auto-consolidate 设计(Stage 2 巩固:主动解决 vault 长期演化的实际问题)
|
||||
|
||||
> 本文档:reme4 中 **auto-cognition 三阶段** 的 **Stage 2 — 巩固阶段** 实现。覆盖 vault 长期演化中累积的实际问题(冗余 / 过载 / 稀疏 / 腐败 / 抽象缺位),通过周期 batch + 写后 inline 的方式**主动改 vault**,让记忆系统保持健康。
|
||||
>
|
||||
> 配套阅读:
|
||||
> - `auto_cognition_design.md`:三阶段顶层心智循环
|
||||
> - `auto_dream_design.md`:Stage 1 写入 / 节点 + 边模型 / F-invariants 原始定义 / 边守恒
|
||||
> - `auto_recall_design.md`:Stage 3 检索 —— 消费本文档产出的信号
|
||||
> - `auto_memory_design.md`:auto-memory 写 daily,daily 节点不参与本文档的巩固改造
|
||||
> - `structure.md` §3.6(maintain 动作语义)
|
||||
>
|
||||
> **核心立场**:
|
||||
> - consolidate **不是产报告等人介入**,是**主动解决问题** —— 类比 NREM 慢波睡眠的 systems consolidation:跨多事件抽 schema、修剪弱连接、稳态突触强度。这些都是真实发生的改造
|
||||
> - vault **会被 consolidate 改**,但每个动作有严格的**置信度门槛 + 守恒规则 + 审计 trail + 渐进 rollout**
|
||||
> - 灰色地带(置信度不够)才产报告等人介入;高置信度自己解决
|
||||
> - **community detection 是巩固的中枢** —— P0 基础设施,P1-P3 三个动作(abstract / merge / reinforce)都依赖它
|
||||
|
||||
---
|
||||
|
||||
## 0. 问题陈述与五大动作全景
|
||||
|
||||
dream 写入是单点视角,有三类视野局限:**写入瞬间没有跨节点视角 / 跨时间视角 / 全局拓扑视角**。这些局限会让 vault 长期演化中累积五类实际问题:
|
||||
|
||||
| # | 问题 | 类比 | 表现 | 解决 |
|
||||
|---|---|---|---|---|
|
||||
| 1 | **冗余** | 同事件留下重复记忆痕迹 | dream 漏判去重 / 术语演化 / 跨桶建成两份 | merge |
|
||||
| 2 | **过载** | 单一突触表征过密 | 节点 body 累积过长 / 单节点杂糅多主题 | split |
|
||||
| 3 | **稀疏** | 应有连接未建立 | dream 写入瞬间漏召回的相关节点 / 反复共现但无 wikilink | reinforce |
|
||||
| 4 | **腐败** | 长期不激活的痕迹 | 旧节点过时 / 半年没人读 / 内容已被矛盾 | archive |
|
||||
| 5 | **抽象缺位** | 跨多 instance 缺 schema | vault 只有原子节点,没有"主题层"视角承接全局问 | abstract |
|
||||
|
||||
### 0.1 四大动作 + 优先级
|
||||
|
||||
| 优先级 | 动作 | 解决问题 | 触发节奏 | 改 vault | 风险 | 收益 |
|
||||
|---|---|---|---|---|---|---|
|
||||
| **P0** | **community detection** | (基础设施) | weekly batch | 否 | 0(只产 meta) | 基础(下游动作的依据)|
|
||||
| **P1** | **abstract** | 抽象缺位 | weekly batch(基于 P0) | 是(新建 summary) | 低(additive) | **最高**(GraphRAG 核心) |
|
||||
| **P2** | **merge** | 冗余 | weekly batch(基于 P0) | 是(合并 + retarget) | 高(lossy) | 中(消除可见冗余) |
|
||||
| **(独立)** | **split** | 过载 | inline 写后(D3) | 是(拆 parent + children) | 低 | 中 |
|
||||
| **(独立)** | **archive** | 腐败 | daily batch | 软(meta 标记) | 0 | 中 |
|
||||
| ~~P3 reinforce~~ | **已并入 dream synapse** | 稀疏 wikilink | 由 dream Phase 2 step 4 织突触承担 | (不在 consolidate 范围内) | — | — |
|
||||
|
||||
**关键论断**:
|
||||
- **P1 比 P2 优先** —— abstract additive 失败可逆且回报最大;merge lossy 失败要回滚 inbound,价值是消除冗余(必要但不增能力)。
|
||||
- **reinforce 已取消**(2026-06-02)—— 详 §4 标作废说明;wikilink 稀疏的解决方案是 dream Phase 2 在写入瞬间多召回 + 织突触(详 `auto_dream_design.md` §4.2.2),不再由 consolidate 周期补救。
|
||||
|
||||
### 0.2 实施路径
|
||||
|
||||
```
|
||||
M0: P0 community detection (基础设施)
|
||||
+ split (已实现)
|
||||
+ archive (软标记,完全可逆)
|
||||
|
||||
M1.1: P1 abstract (additive,最低风险开始改 vault)
|
||||
M1.2: P2 merge (lossy,高门槛 + 多数票)
|
||||
|
||||
M2+: 多层 abstract (L2 super-community) / delete
|
||||
|
||||
reinforce: 不再排期 —— 已由 dream Phase 2 synapse 织突触承担
|
||||
```
|
||||
|
||||
### 0.3 显式排除
|
||||
|
||||
- ❌ 重做"抽象判断" —— gate 决策只在 dream(consolidate 不重新判定"该不该记")
|
||||
- ❌ 重做"语义内容" —— UPDATE 三种 flavor(CORROBORATE / REFINE / CORRECT)只在 dream;consolidate 做结构层,不做语义层
|
||||
- ❌ 改 daily / resource —— consolidate 只动 digest 节点(I-2 / I-3 仍守)
|
||||
|
||||
---
|
||||
|
||||
# Part A — community 工作群(本文档核心)
|
||||
|
||||
P0-P3 四件套围绕 community detection 协同工作:**community 提供"哪些节点同主题"的判据,abstract / merge / reinforce 各自利用这个判据做不同的解决动作**。
|
||||
|
||||
## 1. community detection(P0,基础设施)
|
||||
|
||||
**目的**:在 vault wikilink 图上做 community detection,产出"节点 → community_id"映射。这是 P1-P3 三个动作的**唯一前置**。
|
||||
|
||||
### 1.1 算法选择:Leiden
|
||||
|
||||
| 选项 | 评估 |
|
||||
|---|---|
|
||||
| Louvain | 经典,但有 resolution limit + disconnected community 风险 |
|
||||
| **Leiden** ✅ | Louvain 改进版(2019),稳定性显著好;GraphRAG 采用;Python `igraph.community_leiden` 现成 |
|
||||
| label propagation | 实现最简,但结果不稳定(随机种子敏感) |
|
||||
|
||||
**首版决策:Leiden**,直接对齐 GraphRAG 路线,后续接它的多层抽象更顺。
|
||||
|
||||
### 1.2 图的形态
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **节点范围** | **只 digest 节点**;daily / resource 不参与 |
|
||||
| **边权重** | **首版 unweighted undirected**(所有 wikilink 等权)—— 加权方案(predicate 类型加权)留 M2+ 视效果 |
|
||||
| **跨桶 community** | **必须允许** —— bucket 是物理归档,community 是语义聚合,二者本就正交。"错桶节点"会被自然纳入 community,可作 audit 信号但不强制 move(F-1 守住)|
|
||||
| **resolution** | **1.0 起步**(Leiden 默认 / GraphRAG 默认)—— dogfooding 后视 community 平均规模(理想 5-15 节点)调 |
|
||||
| **更新模式** | **全量重算**;vault 千节点级 Leiden < 1 秒,M0/M1 不引入增量复杂度 |
|
||||
|
||||
### 1.3 多层级:M1 只 L1
|
||||
|
||||
| 层数 | 适用 | reme 决策 |
|
||||
|---|---|---|
|
||||
| 单层 L1(原子 → community)| vault < 500 节点足够 | **M1 起步** |
|
||||
| 双层 L1 + L2(community → super-community) | vault > 500 节点 / 跨主题大类涌现 | M2+ 视规模 |
|
||||
| GraphRAG 4 层 | 大规模文档库 | M3+ 不优先 |
|
||||
|
||||
理由:GraphRAG 论文证明 L1 拿走 60-80% 效果。先把 L1 跑稳,L2 看实际是否需要。
|
||||
|
||||
### 1.4 输出
|
||||
|
||||
**`meta/communities.json`**:
|
||||
```json
|
||||
{
|
||||
"version": 1,
|
||||
"computed_at": "2026-06-08T03:00:00Z",
|
||||
"algorithm": "leiden",
|
||||
"resolution": 1.0,
|
||||
"communities": {
|
||||
"digest/auth/jwt-rotation.md": "c_07",
|
||||
"digest/auth/oauth-flow.md": "c_07",
|
||||
"digest/api/rate-limit.md": "c_12"
|
||||
},
|
||||
"stats": {
|
||||
"n_communities": 14,
|
||||
"median_size": 7,
|
||||
"max_size": 23
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**`meta/community_changes.json`**(供 abstract 稳定度判据):
|
||||
```json
|
||||
{
|
||||
"computed_at": "...",
|
||||
"previous": "...",
|
||||
"stability_per_community": {
|
||||
"c_07": 0.92, // 1 - (Jaccard 距离与上周该 community 节点集)
|
||||
"c_12": 0.45 // 不稳定,abstract 跳过
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 1.5 community_id 不需要稳定
|
||||
|
||||
下游(abstract / merge / reinforce)只关心"两节点是否同 community";id 本身可重排。每周重算后 id 不需要保持与上周对齐。stability 信号通过节点集 Jaccard 距离计算,不依赖 id。
|
||||
|
||||
### 1.6 用途总览
|
||||
|
||||
| 下游 | 用法 |
|
||||
|---|---|
|
||||
| **abstract**(§2)| 判据"该 community 节点数 ≥ N + 稳定度满足 + 无 hub" → 创建 summary |
|
||||
| **merge**(§3)| 候选 pair 必须在同 community(降错率;不同 community 的相似 description 多是同名异义)|
|
||||
| **reinforce**(§4)| 候选 wikilink 必须在同 community(避免假关联)|
|
||||
| **recall**(`auto_recall_design.md` §3) | 同 community 节点 boost |
|
||||
|
||||
---
|
||||
|
||||
## 2. abstract(P1,抽象提升)
|
||||
|
||||
**类比**:NREM systems consolidation —— 跨多次睡眠把分散事件抽出共同 schema,从 episodic 升到 semantic。
|
||||
|
||||
**目的**:vault 演化到一定规模后,某些 community 形成稳定主题群,需要一个 hub 节点统领,让 retrieve 能召回到"主题概览"而非散点。
|
||||
|
||||
### 2.1 等价处理立场(关键)
|
||||
|
||||
**summary 节点完全等同普通节点**:
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **路径** | LLM 选桶,正常 slug 命名(如 `digest/auth/authentication-mechanisms.md`);**无 `__community__` / `__hub__` 等结构性标识** |
|
||||
| **frontmatter** | 仅 `name + description`(reme 核心保留);**无 `kind: community_summary`、无 `auto_generated`** |
|
||||
| **summary 性质** | 完全体现在 **body 形态** —— 主题概述 + 列出 source 节点 wikilink + 跨节点 pattern;但这是内容自然形态,不是结构性宣告 |
|
||||
| **后续维护** | **无** —— 跟其它节点等价,被 dream / split / merge / archive 自然演化(参见 §2.6) |
|
||||
|
||||
这跟 dream 的核心立场对齐:"节点角色由 body 内容决定,不由 frontmatter 类型标记"。abstract 是"用一种新方式创造节点",不是"创造一种新节点类型"。
|
||||
|
||||
### 2.2 触发判据(组合门槛)
|
||||
|
||||
```
|
||||
weekly batch:
|
||||
for community in communities.json:
|
||||
if community_has_hub(community): # §2.5 结构化判据
|
||||
continue
|
||||
if len(community) < MIN_NODES (5): # 节点数门槛
|
||||
continue
|
||||
if stability(community) < 0.7: # 稳定度门槛
|
||||
continue
|
||||
if active_node_count(community, 30d) < 3: # 活跃度门槛
|
||||
continue
|
||||
if name_diversity(community) < 0.5: # 多样性门槛
|
||||
continue
|
||||
→ enqueue abstract job
|
||||
```
|
||||
|
||||
| 门槛 | 默认 | 含义 | 防的是 |
|
||||
|---|---|---|---|
|
||||
| **节点数** | ≥ 5 | community 大小 | 给 2-3 节点造 hub 不划算 |
|
||||
| **稳定度** | ≥ 0.7 | 与上周边界 Jaccard 距离 | 给短命 community 造 hub 浪费 |
|
||||
| **活跃度** | ≥ 3 节点近 30 天 hit | community 仍在用 | 给死社区造 hub(下次没人看)|
|
||||
| **多样性** | name 差异度 ≥ 0.5 | frontmatter `name` 互不相同 | 给"一组重复节点"造 summary —— 那是 merge 的事 |
|
||||
|
||||
### 2.3 创建动作 + grounding 守恒
|
||||
|
||||
```
|
||||
LLM 看 community 内所有节点 (frontmatter + body)
|
||||
↓
|
||||
产 planned summary body (三段):
|
||||
1. 主题概述 (1-2 段,跨多节点共同主题)
|
||||
2. 关键支柱 (列表,3-5 节点 + 一句话 + wikilink)
|
||||
3. 不在概览的细节 (明说哪些细节留原节点)
|
||||
↓
|
||||
长度限制: summary body < 1500 token
|
||||
(防 abstract 创建后立刻被 split 触发,§5)
|
||||
↓
|
||||
LLM 决定 path: digest/<bucket>/<slug>.md
|
||||
↓
|
||||
CAS 写入 (§9) + 双重守恒校验:
|
||||
- 机械: 出边集合 ⊇ "关键支柱"声称引用的节点 (防套话)
|
||||
- 机械: 出边集合 ⊇ source_nodes 的至少 60% (allow LLM 漏列少数)
|
||||
↓
|
||||
audit 记录: audit/<date>/consolidate_actions.md
|
||||
```
|
||||
|
||||
**grounding 守恒**:summary body 中**声称引用某节点必须真写 wikilink**。LLM 不能仅口头提及"我们在 X 中看到..."而不带 `[[X.md]]`。这是机械可校验的,LLM 跑不掉。
|
||||
|
||||
### 2.4 长度限制为什么重要
|
||||
|
||||
summary body < 1500 token 是**与 split 互锁的机制**:
|
||||
|
||||
- 不限长 → LLM 会写"完整覆盖" → 最终 body 累积接近 split 阈值(2000 token)→ 下次 D3 触发拆 → 拆出来的 children 又被 community 视为同主题 → 下次 abstract 又造一个 hub → 循环
|
||||
- 限长 1500 → summary 留出 split 阈值的 25% buffer,稳定不触发拆
|
||||
|
||||
### 2.5 "community 已有 hub"的结构化判据
|
||||
|
||||
不靠 frontmatter / 路径标识,靠**结构**:
|
||||
|
||||
```
|
||||
def community_has_hub(community):
|
||||
for node in community:
|
||||
out_targets = outbound(node) ∩ community
|
||||
if len(out_targets) / len(community) >= 0.6:
|
||||
return True # 该节点出边覆盖 community 60% 以上 → 它已是 hub
|
||||
return False
|
||||
```
|
||||
|
||||
**好处**:
|
||||
- split parent overview 自然被识别为 hub(split parent 出边覆盖大部分 children)→ abstract **复用** split 的工作,不重复创建
|
||||
- 已有 abstract 创建过的节点,只要它出边没退化,下次 batch 自然识别为 hub,不重复创建
|
||||
- 节点被 dream update 后形态变化,出边变了 → 自动重新评估
|
||||
|
||||
**M1 实施关键验证点**:跑实测验证这个涌现 —— split parent 是否真被识别为 hub。如有 corner case,调阈值 0.6 → 0.5 / 0.7。
|
||||
|
||||
### 2.6 后续维护:无 —— 完全靠 5 大动作演化
|
||||
|
||||
abstract 创建即放归 vault,**consolidate 不再"管"它**。后续命运:
|
||||
|
||||
| 演化路径 | 结果 |
|
||||
|---|---|
|
||||
| 新材料触及该主题 | dream update 自然修正 body(走 CORROBORATE / REFINE / CORRECT)|
|
||||
| 老 summary 长期不被引用 | archive 自动归档(§6)|
|
||||
| community 边界变了 → 下次 batch 创建新 summary | 新老 summary 描述同主题 → merge 自动合并(§3)|
|
||||
| summary body 累积过长 | split 自动拆(§5)|
|
||||
|
||||
这是真正的"vault 自我代谢"。**没有特殊维护通道**。
|
||||
|
||||
---
|
||||
|
||||
## 3. merge(P2,同概念合并)
|
||||
|
||||
**类比**:NREM 跨多次睡眠识别"同一件事" → 合一个记忆痕迹。
|
||||
|
||||
**目的**:消除 vault 内的冗余 —— 同概念多节点。
|
||||
|
||||
### 3.1 候选挖掘(community 内三层过滤)
|
||||
|
||||
```
|
||||
weekly batch (依赖 community detection):
|
||||
for community in communities:
|
||||
pairs = all_pairs(community)
|
||||
for (A, B) in pairs:
|
||||
if description_sim(A, B) < 0.6: # 第一层: frontmatter 相似
|
||||
continue
|
||||
if body_topic_overlap(A, B) < 0.5: # 第二层: body 主题词重合
|
||||
continue
|
||||
if cooldown_active(A) or cooldown_active(B): # 第三层: cooldown 检查
|
||||
continue
|
||||
candidates.append((A, B))
|
||||
```
|
||||
|
||||
**关键约束**:候选必须在**同 community**(降错率)。
|
||||
|
||||
### 3.2 多数票决策
|
||||
|
||||
merge 是高风险动作(lossy + 改 inbound),用多数票降错:
|
||||
|
||||
```
|
||||
for (A, B) in candidates:
|
||||
votes = parallel_run(N=3, prompt="A 和 B 是否同一概念? 返回 {is_same, confidence}")
|
||||
agree = sum(v.is_same and v.confidence >= 0.8 for v in votes)
|
||||
if agree >= 2:
|
||||
→ enqueue merge job
|
||||
elif agree == 1:
|
||||
→ 写 audit/<date>/dups_uncertain.md (灰色地带,人介入)
|
||||
else:
|
||||
→ 丢弃
|
||||
```
|
||||
|
||||
### 3.3 merge 动作:body 重写归 consolidate(方案 B)
|
||||
|
||||
**关键决策**:merge 后的 body 由 **consolidate 自跑合并 prompt**,不走 dream update 路径。
|
||||
|
||||
| 方案 | 评估 | 决策 |
|
||||
|---|---|---|
|
||||
| A. 走 dream update 路径(把 loser body 作"新材料")| 优雅但跨阶段;dream 不应知道 caller 是 consolidate 还是新材料 | ❌ |
|
||||
| **B. consolidate 自跑合并 prompt** | 简单自包含;通过严格 prompt 约束化解"做语义工作"张力 | ✅ |
|
||||
| C. 不重写 body(留 redirect stub) | 完全不做语义,但 vault 留无用节点 | ❌ |
|
||||
|
||||
**B 方案的边界守住**(避免 consolidate 真在做语义判断):
|
||||
|
||||
| 边界 | 含义 |
|
||||
|---|---|
|
||||
| **prompt 严格约束** | "只合并不精化" —— 不重写措辞、不加新内容、不做精化决策 |
|
||||
| **机械守恒** | 出边 ⊇ A.outbound ∪ B.outbound + provenance 全保留(LLM 跑不掉) |
|
||||
| **信息守恒抽样** | LLM 自检 "merged.body ⊇ A.body ∪ B.body 全部信息";audit 抽样人审 |
|
||||
| **失败拒写** | 守恒校验失败 → LLM 重试一次 → 二次失败拒写 + audit |
|
||||
|
||||
### 3.4 完整动作流
|
||||
|
||||
```
|
||||
A, B → 选择 winner (path):
|
||||
- inbound 数大者赢 (保护既有 inbound,降 retarget 量)
|
||||
- 平局取路径短者
|
||||
↓
|
||||
LLM 跑 merge prompt → planned merged_body (B 方案)
|
||||
↓
|
||||
机械 retarget 准备:
|
||||
- 扫所有 inbound(loser): [[loser.md]] → [[winner.md]]
|
||||
- alias 保留;predicate 保留
|
||||
- 这是机械算子,非 LLM
|
||||
↓
|
||||
事务式 CAS 写入:
|
||||
1. winner body 改写
|
||||
2. 所有 inbound 节点 body 改写 (retarget)
|
||||
3. 删除 loser 文件
|
||||
任一步失败 → 全部回滚
|
||||
↓
|
||||
audit 记录 + cooldown 设置 (winner 进 cooldown 2 weeks)
|
||||
```
|
||||
|
||||
### 3.5 灰色地带:报告
|
||||
|
||||
- 多数票通过(agree ≥ 2)→ 自动 merge
|
||||
- 仅 1 票通过 → 写报告 `audit/<date>/dups_uncertain.md`,人 / agent 介入
|
||||
- 0 票 → 丢弃
|
||||
|
||||
报告格式:
|
||||
```markdown
|
||||
# dups uncertain 2026-06-08
|
||||
|
||||
## pair 1 (1/3 votes)
|
||||
- A: digest/auth/jwt-rotation.md ("JWT 密钥轮换")
|
||||
- B: digest/security/key-rotation.md ("密钥轮换原则")
|
||||
- vote 1 (yes, 0.85): "同一概念,A 偏 JWT 场景"
|
||||
- vote 2 (no, 0.72): "B 是通用原则,A 是具体应用"
|
||||
- vote 3 (no, 0.68): "粒度不同,不应合并"
|
||||
|
||||
建议:走 dream update 通道把 A 内容作为 B 的实例并入。
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. ~~reinforce~~(**已作废,2026-06-02**)
|
||||
|
||||
> ⚠️ **本节作废,reinforce 已并入 dream Phase 2 synapse 织突触**(详 `auto_dream_design.md` §4.2.2)。理由:
|
||||
> - reinforce 的本质 = "找语义相关但 wikilink 缺失的节点对,补 wikilink"
|
||||
> - 但 dream Phase 2 在写入新节点瞬间已经在做同样的事(多召回 + 内化判 related + 织 `[[Y.md]]`)
|
||||
> - 让 consolidate 周期事后补 wikilink = dream RECALL 不充分的兜底,与其兜底不如把 dream 召回做强
|
||||
> - F-2 自然守住:dream 只动新节点 body(自己的 subject),不需要 consolidate 改 leaf body 这种 F-2 破例
|
||||
>
|
||||
> **新立场**:wikilink 的稀疏由 dream Phase 2 在写入瞬间一次性解决,vault 不维护"事后周期补 wikilink"的通道(`auto_cognition_design.md` §9.2 立场:关系建立在写入瞬间)。详 `hierarchical_summary.md` §13.2 Q4。
|
||||
>
|
||||
> 以下保留原 reinforce 设计内容作为历史快照,**不实施**。
|
||||
|
||||
**(以下内容已作废,仅作历史快照)**
|
||||
|
||||
**类比**:NREM 突触强化 LTP —— 反复共激活的连接被强化。
|
||||
|
||||
**目的**:vault 演化中,某些节点对应该有 wikilink 但 dream 写入时漏召。reinforce 周期检测并 additive 补。
|
||||
|
||||
### 4.1 候选挖掘(三层过滤)
|
||||
|
||||
```
|
||||
weekly batch (依赖 community detection):
|
||||
for community in communities:
|
||||
for (A, B) in all_pairs(community):
|
||||
if has_wikilink(A, B):
|
||||
continue
|
||||
# 第一层: 字符串 mention 锚点
|
||||
if not has_mention(A.body, B.frontmatter.name):
|
||||
continue
|
||||
# 第二层: embedding 相似度验证
|
||||
if embedding_sim(A.context_around_mention, B.body) < 0.7:
|
||||
continue
|
||||
# 第三层: 同 community (已经是,但显式说明)
|
||||
candidates.append((A, mention_pos, B))
|
||||
```
|
||||
|
||||
**三层过滤的角色**:
|
||||
|
||||
| 层 | 防的是 |
|
||||
|---|---|
|
||||
| 字符串 mention | 大幅降候选数(从 O(N²) 降到 O(实际共现)) |
|
||||
| embedding 相似度 | 防同名异义("Apple" 公司 vs 水果)|
|
||||
| 同 community | 防表面术语共现但语义无关 |
|
||||
|
||||
### 4.2 决策(单票即可,门槛较高)
|
||||
|
||||
reinforce 是 additive 低风险动作,不需要多数票:
|
||||
|
||||
```
|
||||
for (A, mention_pos, B) in candidates:
|
||||
vote = LLM("A.body 在该位置提到 B 的概念。是否合理加 [[B.md]] 链接?")
|
||||
if vote.confidence >= 0.85:
|
||||
additive_wikilink(A, mention_pos, target=B.path)
|
||||
→ CAS 写入 (E-1 自动满足:additive 只增不删)
|
||||
→ audit 记录
|
||||
else:
|
||||
丢弃
|
||||
```
|
||||
|
||||
### 4.3 边界
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **只 additive 加 wikilink** | 不改 body 文字,不升级 typed predicate(predicate 升级是语义判断,留 dream)|
|
||||
| **alias 保留原文** | `[[B.md\|<原文 mention>]]`;原文一字不改 |
|
||||
| **写入位置** | mention 第一次出现处加;后续保持原文(防 wikilink 满文) |
|
||||
| **不动 anchor** | 与 dream 一致 |
|
||||
| **守恒** | E-1 天然满足(纯增) |
|
||||
| **rollback** | 误链发生时,人 / agent 直接编辑 body 删除 wikilink 即可;reinforce 不维护"我加过哪些"audit log(每次动作进 `audit/<date>/consolidate_actions.md`)|
|
||||
|
||||
### 4.4 reinforce 与 dream 的边界
|
||||
|
||||
dream 写入时 LLM 应已尽力召回相关节点 + 加 wikilink。reinforce 是**周期性兜底** —— 写入瞬间漏的、术语后才一致的、被 split 拆出来后才相关的,在 reinforce batch 里被检出。
|
||||
|
||||
这不违反"consolidate 不修 dream 漏的"立场 —— **dream 漏的 wikilink 在巩固阶段补,是合法工作**(它的依据是 dream 单点视角永远做不到的"周期统计 + 全局视角");**dream 漏的语义抽象在巩固阶段不补**(那是 dream 的语义判断,consolidate 不重做)。
|
||||
|
||||
---
|
||||
|
||||
# Part B — 独立工作
|
||||
|
||||
P0-P3 围绕 community,这两个动作独立运行。
|
||||
|
||||
## 5. split(过载分化:inline 写后)
|
||||
|
||||
**类比**:海马表征过密 → 分化新单元。
|
||||
|
||||
**目的**:节点 body 累积过长 / 主题离散后,拆成 parent overview + N children,保持单节点"一个原子语义单元"的粒度。
|
||||
|
||||
### 5.1 触发模型(写后立即,inline)
|
||||
|
||||
split 是 5 大动作中**唯一 inline** 的 —— 跟 dream 写入流强耦合,不走 weekly batch:
|
||||
|
||||
```
|
||||
dream / split 写 body 成功 (CAS 通过)
|
||||
└─ if len(body) > T_token (default 2000):
|
||||
└─ LLM 判离散度
|
||||
└─ if is_overloaded:
|
||||
└─ enqueue split job (FIFO, CAS-protected)
|
||||
└─ return (不阻塞 dream)
|
||||
```
|
||||
|
||||
理由:节点过载是**写入瞬间的本地信号**(token + 离散度),延后无价值;反应即时。
|
||||
|
||||
### 5.2 split 动作
|
||||
|
||||
```
|
||||
LLM 看 parent body:
|
||||
- 拆成 1 个 parent overview body + N 个 children body
|
||||
- 每个 child 自带 [[parent]] 反向链接
|
||||
- inbound 不动 (F-10)
|
||||
↓
|
||||
机械 outbound 守恒校验 (E-2):
|
||||
(parent_new ∪ ∪children_outbound) ⊇ parent_old
|
||||
失败 → LLM 重试 → 二次失败拒写 + audit
|
||||
↓
|
||||
事务式 CAS 写入: parent body 改写 + N 个新 children 文件创建
|
||||
↓
|
||||
audit + cooldown 设置 (parent + children 进 cooldown,与 merge 互锁)
|
||||
```
|
||||
|
||||
### 5.3 split 与 abstract 的协同(关键)
|
||||
|
||||
| | 起源 | 方向 | 触发 |
|
||||
|---|---|---|---|
|
||||
| split overview | 单节点过载分化 | 自上而下(一拆多)| inline 写后 D3 |
|
||||
| abstract summary | 多节点抽象凝聚 | 自下而上(多归一)| weekly batch + 稳定度阈值 |
|
||||
|
||||
**协同**:split 产出的 overview 节点会被 §2.5 的"已有 hub"判据识别,abstract 不重复创建。两者互补,不冲突。
|
||||
|
||||
---
|
||||
|
||||
## 6. archive(时效衰减:让长期不激活的节点淡出)
|
||||
|
||||
**类比**:突触代谢稳态 —— 长期不用的连接被减弱,但不删除。
|
||||
|
||||
**目的**:让 retrieve 默认排除"已不活跃"的节点,提升信噪比;不删 vault 文件,保持可逆。
|
||||
|
||||
### 6.1 recency_score:连续衰减信号
|
||||
|
||||
```
|
||||
recency_score(node) =
|
||||
exp(-(now - last_update) / τ_update) # 时间衰减
|
||||
× (1 + log(1 + last_hit_count_30d)) # 活跃度增强
|
||||
× (1 + log(1 + inbound_count) / SCALE) # 中心性 cushion(避免 hub 被冷藏)
|
||||
```
|
||||
|
||||
| 参数 | 默认 | 含义 |
|
||||
|---|---|---|
|
||||
| τ_update | 60 days | 时间衰减常数 |
|
||||
| SCALE | 10 | 中心性 cushion 缩放 |
|
||||
|
||||
输出:`meta/recency.json`,每节点 0.0~1.0 连续值。
|
||||
|
||||
### 6.2 archived 派生快照
|
||||
|
||||
archived 是 recency_score 的二元化派生:
|
||||
|
||||
```
|
||||
archived = {node | recency_score(node) < 0.15}
|
||||
```
|
||||
|
||||
输出:`meta/archived.json`,recall 默认过滤这个列表。
|
||||
|
||||
### 6.3 解冻
|
||||
|
||||
任何动作触及节点 → 自动从 archived 移除:
|
||||
- retrieve 命中(写 access_log)
|
||||
- dream update 触及
|
||||
- merge / reinforce 触及
|
||||
|
||||
下次 batch 时 recency_score 重算自然超过阈值。
|
||||
|
||||
### 6.4 daily 节奏
|
||||
|
||||
archive 是唯一不需要 community detection 的动作 → 节奏可以更快(daily batch),让冷启动后第二天就能影响 recall。
|
||||
|
||||
```
|
||||
daily batch:
|
||||
1. 读 access_log (retrieve / dream / consolidate 钩子记录的命中事件)
|
||||
2. 重算 recency_score for all digest nodes
|
||||
3. 输出 meta/recency.json
|
||||
4. 阈值过滤 → meta/archived.json
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
# Part C — 共享基础设施
|
||||
|
||||
## 7. F-invariants 松绑与守恒规则
|
||||
|
||||
旧 F-invariants(`auto_dream_design.md` §4.3)在"vault 只读"立场下定义,新立场要松绑。但松绑不是"自由改",是用**动作级守恒规则**换"一刀切禁令"。
|
||||
|
||||
### 7.1 F-invariants 修订
|
||||
|
||||
| # | 旧约束 | 新立场 |
|
||||
|---|---|---|
|
||||
| **F-1** | 0 文件移动 | **改为**:"非 consolidate 动作不移动文件";merge 删除 loser 文件是**合法移动**(逻辑上等价 retarget) |
|
||||
| **F-2** | 改正文限定 subject | **改为**:"dream / split / reinforce 改 subject body;merge 在受控算子内可改 inbound 节点 body";其它阶段(recall)绝不改 |
|
||||
| **F-3** | maintainer 只做 split | **作废** —— consolidate 5 大动作合法 |
|
||||
| **F-10** | inbound 不动 | **改为**:"split 时 inbound 不动";merge 必须 retarget inbound(机械算子) |
|
||||
| **F-11** | wikilink 是 body 一部分 | **保留** —— 没有"独立的边"基础设施 |
|
||||
|
||||
### 7.2 动作级守恒规则矩阵
|
||||
|
||||
| 动作 | 置信度门槛 | 守恒规则 |
|
||||
|---|---|---|
|
||||
| **abstract** | community 节点 ≥ 5 + 稳定度 ≥ 0.7 + 活跃度 ≥ 3 + 多样性 ≥ 0.5 + 无 hub | 出边 ⊇ "关键支柱"列表 + 出边 ⊇ source 节点 60%(机械)|
|
||||
| **merge** | LLM 多数票 ≥ 2/3 + similarity ≥ 0.6 + body overlap ≥ 0.5 | 信息守恒(merged.body ⊇ A ∪ B)+ 出边 ⊇ A.out ∪ B.out + inbound 全 retarget(机械)|
|
||||
| **reinforce** | LLM 单票 ≥ 0.85 + 同 community + mention 锚点存在 + embedding ≥ 0.7 | E-1 天然(additive)|
|
||||
| **archive** | recency_score < 0.15 | 软标记,无破坏性 |
|
||||
| **split** | token > T + LLM 判离散 | E-2(parent ∪ children ⊇ parent_old)+ inbound 不动 |
|
||||
|
||||
---
|
||||
|
||||
## 8. cooldown 与防循环
|
||||
|
||||
5 大动作之间的潜在循环:
|
||||
|
||||
```
|
||||
A merge B → AB body 长 → split AB 回 A' + B' → 又 merge → ...
|
||||
```
|
||||
|
||||
防御:
|
||||
|
||||
| 互锁对 | 窗口 | 实现 |
|
||||
|---|---|---|
|
||||
| **split → merge** | 2 weeks | 刚 split 出的兄弟节点不参与 merge 候选 |
|
||||
| **merge → split** | 2 weeks | 刚 merge 的节点不参与 split 评估(D3 检测时跳过)|
|
||||
| **merge → merge**(同对反复) | 12 weeks | 同一 path 12 周内被 merge 又被识别为新 merge 候选 → audit 警报,人介入 |
|
||||
| **abstract → merge**(同主题反复 abstract) | 4 weeks | 刚 abstract 出的 hub 节点 4 周内不参与 merge 候选 |
|
||||
|
||||
cooldown 状态外置 `meta/cooldowns.json`,不污染 vault。
|
||||
|
||||
---
|
||||
|
||||
## 9. CAS 写入协议(共享基础设施)
|
||||
|
||||
CAS 是 dream(`auto_dream_design.md` §4.2)、split / merge / reinforce / abstract(本文档)**多方共用**的 vault 写入协议。归本文档因 consolidate 是写入主战场。
|
||||
|
||||
archive 不写 vault → 不走 CAS;它写 `meta/`,各任务的 atomic write(write-temp + rename)即可。
|
||||
|
||||
### 9.1 协议
|
||||
|
||||
```
|
||||
1. 读 + 记戳: read body → version_stamp = sha256(body) | mtime
|
||||
2. 决策: LLM / 算法 → 产 planned new_body
|
||||
3. CAS 写入: 重读 body 比 version_stamp
|
||||
- 未变: 跑动作级守恒校验 → 通过 → atomic write (write-temp + rename) → done
|
||||
- 已变: 丢弃 planned new_body, 带最新 body 重走 step 1
|
||||
4. 守恒校验失败: LLM 重试一次, 二次失败拒写 + audit
|
||||
5. 重做次数上限: 3 次 → 跳过候选 + audit log
|
||||
```
|
||||
|
||||
### 9.2 事务式 merge / split 写入
|
||||
|
||||
merge 涉及多文件写入(winner body + N 个 inbound retarget + loser 删除);split 涉及多文件创建(parent body + N children)。需要事务语义:
|
||||
|
||||
- 准备阶段:全部 planned new_body 写到 temp 区(带 version_stamp)
|
||||
- 提交阶段:逐个 CAS 检查 + atomic write(write-temp + rename)
|
||||
- 任一 CAS 失败 → 全部回滚(temp 区清理,已 rename 的恢复)
|
||||
|
||||
实现细节:可借 fs-level 事务库(如 `pyrsistent` 模式)或自实现 journal。M0 起步用最简的"先全部检查 → 再全部写入"两阶段,接受窗口期(检查到写入间)的极小并发风险。
|
||||
|
||||
### 9.3 create 路径 race
|
||||
|
||||
merge / abstract 都可能并发 create 同一 path → atomic create(`O_CREAT | O_EXCL`)只让一个赢;输者 EEXIST → 重走 step 1(此时大概率改判 update 或丢弃)。
|
||||
|
||||
### 9.4 不解决
|
||||
|
||||
- 跨进程并发(多 reme 实例同 vault)→ 不在 M0,需 fs lock(M1+)
|
||||
- 高冲突 workload(同候选反复触发)→ 重做上限触发后 audit
|
||||
|
||||
---
|
||||
|
||||
## 10. D 健康检查(D1 / D10)
|
||||
|
||||
不属"巩固"主语义,但跟 consolidate 同节奏(周期 batch 顺手跑),归本文档:
|
||||
|
||||
| # | 信号 | 节奏 | 修复策略 |
|
||||
|---|---|---|---|
|
||||
| **D1** | 断链(wikilink → 不存在 path) | 写时 inline + weekly batch 巡检(双重保险)| 就地删 wikilink 或保留 alias 文本 → audit |
|
||||
| **D10** | provenance 断裂(digest 反指的 daily/resource 不可达)| 同上 | I-不变量违反 → 严重告警 + 人介入 |
|
||||
|
||||
D1 / D10 不算 5 大动作之一(它们不解决"vault 演化问题",只检测异常)。但它们的修复(就地删 wikilink)需要走 CAS,所以协议共享。
|
||||
|
||||
---
|
||||
|
||||
# Part D — 契约与实施
|
||||
|
||||
## 11. 维护 → 检索契约
|
||||
|
||||
5 大动作产物给 retrieve 消费(详细 retrieve 逻辑见 `auto_recall_design.md`):
|
||||
|
||||
| 产物 | 路径 | 写入者 | 读取者 | 缺失行为 |
|
||||
|---|---|---|---|---|
|
||||
| **vault 节点变化** | `digest/**.md` | merge / split / reinforce / abstract | recall(图遍历 / 命中) | — |
|
||||
| **communities** | `meta/communities.json` | community detection | recall + abstract / merge / reinforce | 不做同社区 boost / 三个动作跳过 |
|
||||
| **community changes** | `meta/community_changes.json` | community detection | abstract 决策 | abstract 跳过(无稳定度判据)|
|
||||
| **recency** | `meta/recency.json` | archive daily batch | recall | recency_factor = 1.0 |
|
||||
| **archived** | `meta/archived.json` | archive daily batch | recall(默认过滤)| 不过滤 |
|
||||
| **cooldowns** | `meta/cooldowns.json` | split / merge | consolidate 内部 | 无防御循环 |
|
||||
| **access_log** | `meta/access_log.json` | recall(写命中) + archive(聚合) | archive(读 recency) | recency 不衰减 |
|
||||
| **dups uncertain** | `audit/<date>/dups_uncertain.md` | merge | 人 / agent | — |
|
||||
| **consolidate actions** | `audit/<date>/consolidate_actions.md` | 全部 5 动作 | 审计 | — |
|
||||
| **D1 / D10 健康** | `audit/<date>/health_*.md` | inline check + weekly | 人 / agent | — |
|
||||
|
||||
**契约稳定性**:`meta/*.json` 都带 `version` + `computed_at`;recall 启动时校验 version,不兼容则降级。
|
||||
|
||||
---
|
||||
|
||||
## 12. 与 dream 模型的引用关系
|
||||
|
||||
本文档松绑了部分 F-invariants(§7),但仍在 dream 定义的底层模型上工作:
|
||||
|
||||
| 引用 | 来源 |
|
||||
|---|---|
|
||||
| wikilink 基础语法 | `auto_dream_design.md` §3 |
|
||||
| 节点 / 边模型 | `auto_dream_design.md` §4 / §2 / §3 |
|
||||
| F-invariants 原始定义 | `auto_dream_design.md` §4.3(本文档 §7 修订)|
|
||||
| 边守恒 E-1 / E-2 / E-3 | `auto_dream_design.md` §4.4 |
|
||||
| 路径即 ID / rename | `auto_dream_design.md` §2 |
|
||||
| anchor 不引入 | `auto_dream_design.md` §3 |
|
||||
| provenance 载体形态 | `auto_dream_design.md` §4.2 |
|
||||
| dream 写入路径 | `auto_dream_design.md` §4.2 |
|
||||
|
||||
---
|
||||
|
||||
## 13. 下一步(M0 → M1.1 → M1.2 → M1.3 → M2)
|
||||
|
||||
实现进入 `reme4/steps/consolidate/` 时,本文档与 `auto_dream_design.md` / `auto_cognition_design.md`(顶层)/ `auto_recall_design.md` 共同作为契约依据。
|
||||
|
||||
### M0:基础设施 + 完全可逆动作
|
||||
|
||||
- ✅ split inline 触发 + LLM 离散度判 + E-2 守恒(基础部分)
|
||||
- ⏳ **community detection weekly batch**(Leiden via `igraph`)+ `meta/communities.json` + `meta/community_changes.json`
|
||||
- ⏳ **archive daily batch** + recency_score + access_log 收集
|
||||
- ⏳ CAS 写入框架 + version_stamp + EEXIST race + 重做上限 + audit
|
||||
- ⏳ D1 / D10 写时 inline 检测 + weekly 巡检
|
||||
|
||||
### M1.1:abstract(P1,additive 最低风险)
|
||||
|
||||
- ⏳ abstract 候选挖掘(community 大小 + 稳定度 + 活跃度 + 多样性 + 无 hub 五重判据)
|
||||
- ⏳ abstract LLM prompt(三段输出 + 长度限制 1500 token)
|
||||
- ⏳ grounding 守恒校验(出边 ⊇ 关键支柱 + 出边 ⊇ source 60%)
|
||||
- ⏳ "已有 hub" 结构化判据(outbound 覆盖度 ≥ 60%)
|
||||
- ⏳ **关键验证点**:实测 split parent 是否被识别为 hub
|
||||
|
||||
### M1.2:merge(P2,lossy 高门槛)
|
||||
|
||||
- ⏳ 候选挖掘(community 内 description 相似 + body 重合 + cooldown 检查)
|
||||
- ⏳ 多数票框架(N=3 LLM,2/3 通过)
|
||||
- ⏳ merge prompt(B 方案:"只合并不精化")
|
||||
- ⏳ inbound retarget 机械算子(扫所有 `[[loser.md]]` → `[[winner.md]]`,alias / predicate 保留)
|
||||
- ⏳ 事务式多文件 CAS 写入
|
||||
- ⏳ 灰色地带报告(`audit/<date>/dups_uncertain.md`)
|
||||
- ⏳ cooldown 框架(`meta/cooldowns.json` + 各动作互锁)
|
||||
|
||||
### M1.3:reinforce(P3,价值最低,可缓做)
|
||||
|
||||
- ⏳ 候选挖掘(三层过滤:mention + embedding + 同 community)
|
||||
- ⏳ 单票决策(门槛 0.85)
|
||||
- ⏳ additive wikilink 写入(alias 保留原文)
|
||||
|
||||
### M2+:演进
|
||||
|
||||
- ⏳ 多层级 community(L2 super-community)+ L2 abstract
|
||||
- ⏳ delete(永久删除 vault 文件)—— 视 dogfooding 效果决定是否开启
|
||||
- ⏳ predicate upgrade(typed link reinforce —— 当前 reinforce 只 additive 加无谓词)
|
||||
- ⏳ PageRank 替代 simple inbound count(若 retrieve 质量瓶颈在中心性)
|
||||
- ⏳ 跨进程并发(fs lock 支持多 reme 实例同 vault)
|
||||
- ⏳ Leiden 边权重(按 predicate 类型加权)
|
||||
|
|
@ -1,352 +0,0 @@
|
|||
# auto-dream 设计(桶 / 节点 / 边 / 演化)
|
||||
|
||||
> 本文档:digest 沉淀层的**桶**(物理布局)/ **节点**(原子单元)/ **边**(wikilink)/ **演化**(dream create_or_update;split 归 maintain)。
|
||||
>
|
||||
> 配套阅读:
|
||||
> - `structure.md` §1.2(数据视角)/ §2(三层存储)/ §3.5(digest 动作)
|
||||
> - `auto_memory_design.md`:daily 实时事件 = dream 的入流之一
|
||||
> - `auto_consolidate_design.md`:M split / D 检测 / CAS 写入协议(dream 模型的运行时实现)
|
||||
> - `auto_cognition_design.md`:auto-cognition 三阶段顶层思想 —— dream 是其 Stage 1(写入阶段)的实现
|
||||
>
|
||||
> **核心**:digest = **浅桶(shallow bucket)+ flat .md** + **一张图(节点 + 边)**;dream 定义模型与主流程(create_or_update),maintain 负责 split / 写入运行时。
|
||||
>
|
||||
> **关键收敛**:digest 不分"逻辑层"。所有 .md 文件都是同一种节点,内容决定它扮演什么角色(主题概览 / 概念定义 / 方法描述 / 实体记录 ...)。"主题"从图中涌现,不是结构性宣告。
|
||||
|
||||
---
|
||||
|
||||
## 0. 问题陈述
|
||||
|
||||
digest 是 agent 长期记忆的"组织化沉淀"层,与三层架构的另两层职责互补:
|
||||
|
||||
| 层 | 组织主轴 | 形态 |
|
||||
|---|---|---|
|
||||
| resource/ | 时间(`<date>/<name>`) | 外部原始资料,不可变 |
|
||||
| daily/ | 时间 + 任务(`<date>/<event-slug>/`) | agent 任务过程,半可变 |
|
||||
| **digest/** | **语义** | **跨任务知识,可重组** |
|
||||
|
||||
dream 设计回答四个问题:**桶**怎么布局 / **节点**长什么样 / **边**怎么连 / **演化**谁负责怎么做。
|
||||
|
||||
---
|
||||
|
||||
## 1. 桶(物理布局)
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **物理几何** | `digest/<bucket>/<slug>.md`;**浅桶一层**(顶多两层),桶内 flat |
|
||||
| **bucket 角色** | **仅承担物理归档 + OS-level 浏览锚点**;不承担语义本体角色 —— 主题由图中节点表达 |
|
||||
| **bucket 集合** | **代码内 hard-coded**(`reme4/steps/evolve/dream.py` 的 `BUCKETS` 常量),不通过配置外置,不由 dreamer / maintainer 动态生成 —— 三桶设定是 dream 模型本身的一部分(Phase 2 prompt 按 bucket 专化),不是可调参数 |
|
||||
| **集合视图** | 桶名内嵌在 prompt 中(extract 阶段三桶判别启发 + 三份独立 integrate prompt);不再生成独立 `_buckets.md` 视图 |
|
||||
| **初始化** | opinionated **三桶**,按"答什么问 + 谁在问"划分:`procedure`(答"怎么做 X" —— 步骤 / 方法 / runbook)/ `personal`(答"X 是谁 / 喜欢什么 / 不要做什么" —— 用户 / 团队 specific 身份 + 偏好)/ `wiki`(答"X 是什么 / 发生了什么 / 决策依据是什么" —— 通用知识 / 定义 / 原则 / 观察 / 决策先例;**也是默认兜底**) |
|
||||
| **bucket 主页** | 不强制存在;split 累积出层级时 parent 节点天然成为浏览主页(中心性涌现,非架构必需) |
|
||||
| **新节点归属** | bucket 由 **Phase 1** 在 unit 级别分配(写进 `MemoryUnit.bucket`),Phase 2 据此分发到对应 bucket 的专用 prompt;LLM 不能造新桶 |
|
||||
| **未归类节点** | Phase 1 找不到更明确归属时强制归入 `wiki` —— 它就是默认兜底,不是失败状态 |
|
||||
| **跨桶 move** | F-1 已禁止;若必须做(人工介入修错桶),走一次 `wikilink_handler.retarget_links(old, new)` |
|
||||
|
||||
**`wiki` 兜底桶**:
|
||||
|
||||
| 维度 | 内容 |
|
||||
|---|---|
|
||||
| **语义** | "通用知识 / 默认归属" —— `wiki` 在三桶中 scope 最广(定义 / 原则 / 观察 / 决策先例),Phase 1 没有更明确归属(不属于 `procedure` 的可执行流程,也不属于 `personal` 的用户 specific 偏好)时归入此桶;**是合法常态,不是故障状态** |
|
||||
| **路径** | `digest/wiki/<slug>.md`,与其它 bucket 完全等同;节点演化与其它桶一致 |
|
||||
| **错桶后续** | 不主动跨桶 move;若严重,人工 mv + `retarget_links(old, new)` |
|
||||
|
||||
**为什么 `wiki` 兜底,而不是另设 `unknown`**:三桶设计中 `procedure` / `personal` 都有明确语义边界,剩下的"X 是什么 / 决策依据 / 一般原则"自然落在通用知识那一边 —— 这恰好就是 `wiki` 的本职。再设独立 `unknown` 会出现两类语义重叠的兜底(`wiki` 的"通用知识" vs `unknown` 的"分类未定"),反倒让 LLM 在 Phase 1 多一道无意义的犹豫。`wiki` 节点本身就是合法常态,不需要后续清理。
|
||||
|
||||
**为什么是浅桶而不是深树**:
|
||||
- 物理浏览有"主题轮廓"(打开 `digest/wiki/` 能看到这一族节点),不像纯 flat 那样毫无锚点
|
||||
- 节点不被深路径绑死("属 wiki/auth 还是 wiki/session"这种归属焦虑被消解 —— 一个节点可以同时被多个主题通过 wikilink 引用)
|
||||
- F-1(0 文件移动)+ 平铺后,深树的核心收益(子树重组)消失,只剩深路径维护负担
|
||||
- **固定三桶的关键意义**:LLM 在 dream 桶决定时只做"分类"(三选一),不做"造类" —— 决策面坍缩,跨任务跨时间稳定;不会出现 "knowledge" / "wiki" / "concepts" 三个语义重叠的桶共存。三桶覆盖 personal-knowledge 的核心切片(做什么 / 谁喜欢什么 / 知识本身),进一步细分由桶内 wikilink 图自然涌现
|
||||
|
||||
**已排除**:动态扩桶 / 拒绝写入(候选丢失)/ 强行选最近似专属桶(本体污染) / 把 bucket 数推回 6+(决策面失控)。
|
||||
|
||||
---
|
||||
|
||||
## 2. 节点
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **粒度** | atomic;一个 .md 文件 = 一个原子单元(概念 / 方法 / 实体 / 案例 / 原则 / 主题概览)|
|
||||
| **节点角色** | **由 body 内容决定,不由 frontmatter 类型标记**;同一节点扮演"主题概览"还是"具体方法",看它的 body 写了什么 |
|
||||
| **身份(ID)** | **vault-relative 路径(含 `.md`)即节点身份** —— `digest/auth/jwt-rotation.md` |
|
||||
| **`name` frontmatter** | 文件名 basename(不含扩展名),与文件名同步 —— 检索 hint / 人读标签,**不当 ID 用** |
|
||||
| **frontmatter 保留字段** | 只有 `name` + `description`(reme 核心保留)|
|
||||
| **可选 `kind` 字段** | 例:concept / procedure / preference / observation / ...;**消费层 schema 提示**,reme 核心透明,不读它做结构决策。与 bucket 是不同概念 —— bucket 决定物理归档(三桶)+ Phase 2 prompt 走哪份;`kind` 是更细粒度的 frontmatter 标签,留给消费层自由使用 |
|
||||
| **文件名冲突** | 同 bucket 内文件名冲突 → 文件系统层断言(写入即拒);不需要独立检测信号 |
|
||||
| **rename** | 一次 `wikilink_handler.retarget_links(old_path, new_path)`(机制现成);无 alias 表,无透明展开 |
|
||||
|
||||
**为什么 atomic + 路径即 ID**:
|
||||
- **节点粒度 = retrieve 精度上限** —— semantic 检索召回 "一个原子单元" 远比召回 "一个 5000 字的主题文档" 信噪比高
|
||||
- **wikilink 在 atomic 粒度才真有意义** —— `[[digest/auth/jwt-rotation.md]]` 指向"一个具体方法"比指向"auth 主题文档"精确一个数量级
|
||||
- F-1 + 平铺 + 下层 immutable 后,slug abstraction 的核心价值(移动鲁棒性)蒸发;路径作 ID 与 `wikilink_handler.py` 默认形态完全对齐(*Recommended form: full path relative to the vault with extension*)
|
||||
- provenance wikilink 反指 daily/resource 本来就用路径,统一后整个 vault 一种 wikilink 形态
|
||||
|
||||
**"主题概览节点"靠内容识别,不靠前缀 / kind**:`hub__` / `topic__` 前缀**不存在**;文件名自然命名(`auth-fundamentals.md` / `jwt-rotation.md`)。主题概览身份是图位置(中心性 / split parent)+ body 形态共同涌现。
|
||||
|
||||
---
|
||||
|
||||
## 3. 边
|
||||
|
||||
参考实现:`reme4/utils/wikilink_handler.py` + `reme4/schema/file_link.py`。
|
||||
|
||||
| 形态 | 写法 | 说明 |
|
||||
|---|---|---|
|
||||
| **基础** | `[[<vault-path>.md]]` | literal,不隐含 `.md`,不自动短链补全 |
|
||||
| **alias** | `[[path.md\|display-text]]` | rewrite 时 alias 保持 |
|
||||
| **image** | `![[image.png]]` | 资源引用,不是知识边 |
|
||||
| **可选谓词** | `predicate:: [[path.md]]`(行级)/ `[predicate:: [[path.md]]]`(内联) | Dataview 风格;谓词在 `[[]]` 外,`[[]]` 内只保留纯目标 |
|
||||
| **谓词标识符** | `[A-Za-z][A-Za-z0-9_]*`(`is_a` / `extends` / `causes` / `references` ...) | 词表**开放**,任意标识符 |
|
||||
| **未类型化合法** | 绝大多数 wikilink 不加 predicate;`predicate=None` 是默认 / 常态 | |
|
||||
| **边唯一性键** | `(target_path, predicate)` 二元组 | 同源同标不同 predicate = 不同边 |
|
||||
| **不引入 anchor** | digest 设计层不使用 `[[path.md#section]]` | `FileLink.target_anchor` schema 保留(供其它消费层),digest 层永远写 `None` |
|
||||
|
||||
**reme 核心对 predicate 的"透明"边界**(关键):
|
||||
- 横向 link/ retrieve 中心性 —— 都**聚合所有 predicate** 算,不分桶
|
||||
- 只有 edge 唯一性 / 反向索引会用到 predicate(否则 `[[A]]` 和 `is_a:: [[A]]` 会被当作同一条边互相覆盖)
|
||||
- 消费层若要按 predicate 做更精细的推理(如"taxonomic 路径只走 `is_a` 边"),自己读 `FileLink.predicate` 即可
|
||||
|
||||
**与 `kind` 一致的立场**(与 [[reme4_schema_layering]] 对齐):reme 核心**只有节点 + 边两种结构类型**;`kind` / `predicate` 都是内容标签,绝不参与"hub / topic / leaf"这类结构角色判断。
|
||||
|
||||
**为什么不引入 anchor**:LLM 想"指向具体子主题"时,**正确做法是让那个子主题升级为独立节点**(必要时通过 split),不在过载 parent 内部用 anchor 凑合。anchor 在 digest 层无语义;prompt 必须明确告知 LLM 写 wikilink 时不带 `#section`。
|
||||
|
||||
---
|
||||
|
||||
## 4. 演化
|
||||
|
||||
### 4.1 演化只做两件事
|
||||
|
||||
| op | 谁 | 何时 | 改什么 |
|
||||
|---|---|---|---|
|
||||
| **dream**(create_or_update) | dreamer(本文档 §4.2) | 入流(新材料进入) | 创建新节点 / update 已有节点 body(语义守恒重写;UPDATE 内分 **CORROBORATE / REFINE / CORRECT** 三种 flavor,详 §4.2.3) |
|
||||
| **M split** | maintainer(`auto_consolidate_design.md` §1) | 节点过载(token / 主题离散度超阈值) | 把 parent body 拆成 parent overview + N children;parent 文件原地 |
|
||||
|
||||
> **关键观察**:"主题概览节点"不是一种 kind,也不是 maintainer 主动涌现的产物 —— 它是 split 的副产品(parent 节点天然成为该 cluster 的 overview,中心性自然高)。
|
||||
|
||||
显式排除:
|
||||
- ❌ merge / dissolve / re-edge / unify —— 跨节点重组不做(同概念二次进入靠 dream update;错桶节点不主动 move)
|
||||
- ❌ 完美归簇 —— F-5 留白,不确定就不动
|
||||
- ❌ 实时一致 —— 异步 / eventual
|
||||
|
||||
### 4.2 dream(create_or_update)流程
|
||||
|
||||
**dream = dreamer 入流唯一改 body 的操作,且只改 subject node。**
|
||||
|
||||
#### 4.2.0 digest 是抽象记忆层
|
||||
|
||||
Digest 是 agent 长期记忆的**抽象层** —— 类比前额叶对认知的聚合。原始细节(数字、流程文本、谁说了什么)留在材料(daily / resource),digest 只承载细节淡忘后仍想调取的那一层:原则、模式、可作为先例的决策、认知要点。这一立场决定了 dream 流程的形态:**Phase 1 识别抽象,Phase 2 把抽象登记到 digest 节点**。
|
||||
|
||||
#### 4.2.1 两阶段流程
|
||||
|
||||
```
|
||||
material 进入(daily / resource 选定 scope)
|
||||
│
|
||||
▼
|
||||
Phase 1 — extract (轻量)
|
||||
LLM 读材料 → 识别其中教导的"抽象"(原则 / 模式 / 先例)
|
||||
→ 为每个 unit **分配 bucket**(procedure / personal / wiki)
|
||||
→ 发出 ExtractedUnits 结构化输出 = K 个 sub-unit
|
||||
(每个: {name, bucket, summary})
|
||||
说明:多个支撑事实说明同一抽象 → 合并为同一 sub-unit
|
||||
(倾向少而精);Phase 1 是 gate ——
|
||||
无新抽象时发空列表,Phase 2 跳过整轮;
|
||||
bucket 由 Phase 1 一次性决定,Phase 2 不再回选
|
||||
│
|
||||
▼ (Python 外循环,K 次)
|
||||
Phase 2 — integrate (per sub-unit,**按 bucket 分发到独立 prompt**)
|
||||
│ system prompt = integrate_system_prompt_<unit.bucket>
|
||||
│ procedure / personal / wiki 三份独立 prompt,**不共用一套**
|
||||
│ sub-unit ↔ digest 节点 1:1;Phase 2 必写,无 SKIP 出口
|
||||
│
|
||||
├─ RECALL: search(关键词 + 向量 + RRF) + traverse(对 top hit
|
||||
│ 做图扩展,**跨 bucket**) → 候选路径集
|
||||
│
|
||||
├─ HIT: frontmatter_read 廉价 triage → read 完整 body
|
||||
│ 确认候选是否承载同一抽象 → hit 集合
|
||||
│
|
||||
├─ 决策:
|
||||
│ ├─ hit 空 → CREATE 在 digest/<unit.bucket>/<slug>.md
|
||||
│ └─ hit 非空 → UPDATE 路径 (CORROBORATE / REFINE / CORRECT;
|
||||
│ 目标可在任意桶 —— 召回是跨桶的)
|
||||
│
|
||||
▼
|
||||
写入(canonical write 创建 / canonical edit 改正文)
|
||||
│
|
||||
▼
|
||||
agent 上报 IntegrateOutcome {action, target_path}
|
||||
```
|
||||
|
||||
**两阶段 trade-off**:Phase 2 把完整材料发 LLM K 次(一次一 sub-unit),不做 summary loss;代价是 K 倍 prompt token。换来的是 Phase 1 只做"识别抽象 + 分类 bucket"两件事(粒度集中在一个 prompt),Phase 2 每次会话上下文干净、bucket-specific prompt 让推理聚焦于"这一桶要怎么写 / 怎么改"。
|
||||
|
||||
**Phase 2 的 bucket 专化**:三桶各有独立 system prompt,因为各桶的 body 形态、决策偏置不同 —— `procedure` 节点是 runbook 风(触发 / 步骤 / 前置 / 失败模式),`personal` 节点是规则风(rule + Why + How to apply),`wiki` 节点是百科风(定义 + 性质 + 关系)。共用一份通用 prompt 会让"应该写成什么样"的指导被稀释,bucket 信号靠一段 if-this-then-that 散文承载,效果劣于让每桶自带专属 prompt。
|
||||
|
||||
#### 4.2.2 召回 → 内化分类 → 决策 → 织突触(ReAct agent 一体完成)
|
||||
|
||||
Phase 2 是单个 ReAct agent 在一个 loop 内完成 4 件事 —— **不拆 stage,不引入外部机械步骤**,只通过 prompt 引导 agent 把 dedup 与 synapse 这两类判断都做透。当前默认 `search(limit=5)` 不够,prompt 已显式引导更深召回。
|
||||
|
||||
**4 步流程**(整段由 ReAct agent 自主组织调用):
|
||||
|
||||
| # | 步 | 关键动作 |
|
||||
|---|---|---|
|
||||
| 1 | **召回 —— 多角度宽召** | 显式 `limit=20-30` × 两轮 search(一次 hybrid,一次 `vector_weight=1.0` 纯语义)+ `traverse depth=2` 拓扑补充 |
|
||||
| 2 | **内化分类** | `frontmatter_read` triage + 必要时 `read` body;对每个候选**内化打 label**(只在思考中分类,不输出):`same_abstraction` / `related` / `unrelated` |
|
||||
| 3 | **决策** | 0 个 `same_abstraction` → CREATE;1 个 → UPDATE(选 flavor) |
|
||||
| 4 | **织突触** | CREATE 或 UPDATE 都把所有 `related` 候选织入 body 作 `[[Y.md]]`;CREATE 一次性织全;UPDATE additive 加 wikilink |
|
||||
|
||||
**两类内化判断的本质**:
|
||||
|
||||
| 判断 | 服务 | 输出形态 |
|
||||
|---|---|---|
|
||||
| **同抽象?**(dedup)| 决定 CREATE / UPDATE | 0/1 个 target(决策面排他) |
|
||||
| **相关?**(synapse)| 决定织哪些 wikilink | N 个 related 候选(决策面累加) |
|
||||
|
||||
两者是同一个 ReAct agent 在看完 candidates 后的**两层独立判断**,共享同一批召回结果,**不需要分两轮 LLM 调用**。
|
||||
|
||||
**召回**(对应 prompt step 1):dream 用专属的 `node_search`(`reme4/steps/index/node_search.py`),**不**用通用 `search`,**也不用 `traverse`** —— 详 §4.2.2.1(traverse 是 retrieve-time 子图挖掘工具,跟 dream 写入场景错位)。
|
||||
|
||||
| 调用 | 找什么 |
|
||||
|---|---|
|
||||
| `node_search(query=<...>, limit=20-30)` | digest 内节点级 hybrid 召回(vector + BM25 RRF),返回 path + frontmatter |
|
||||
|
||||
**召回结果服务两类判断**:dedup(`same_abstraction` label,是否同抽象 → CREATE / UPDATE)和 synapse(`related` label,是否相关 → 织 wikilink)是 LLM 在**同一批 candidates** 上的两类内化 label。原"两轮 search(hybrid + vector_only)"是设计冗余 —— 同一批候选 LLM 自己能判 same/related/unrelated,模式切换无意义。**调用次数由 agent 自决**:一次通常够;若 unit 跨多个概念维度,agent 可发起多次不同 query 的召回,prompt 不强约束。
|
||||
|
||||
**HIT = `node_search` 返回 + read**:`node_search` 已内嵌返回每个 hit 的 frontmatter(`name + description`),agent 直接据此 triage,**不需要额外调 `frontmatter_read` 批量取 metadata**;仅对需要看 body 的少数候选用 `read`。**不可仅凭 frontmatter 决定 UPDATE**,body 才是判定依据。
|
||||
|
||||
##### 4.2.2.1 node_search vs 通用 search 的差别 + 为什么 dream 不用 traverse
|
||||
|
||||
**node_search vs 通用 search**:dream 的召回需求跟外部 agent 的 RAG 检索**结构性不同**,因此用专属 step 而非复用 `search`:
|
||||
|
||||
| 维度 | 通用 `search`(外部 agent)| `node_search`(dream Phase 2) |
|
||||
|---|---|---|
|
||||
| 用户 | 用户/外部 agent 的自然语言 query | dream 内部生成的 unit.summary |
|
||||
| 结果粒度 | **chunk 级**(可能同一 node 多个 chunk)| **node 级**(同 path 聚合 max score)|
|
||||
| 返回信息 | 完整 chunk text + scores | **path + name + description**(frontmatter 内嵌,无 body)|
|
||||
| 范围 | 全 vault(daily / resource / digest) | **digest-only**(dream 永远只在 digest 找候选)|
|
||||
| expand_links | 默认 `True`(给 agent 更多上下文)| **永远 `False`**(synapse 找的就是未 link 的)|
|
||||
| 默认 limit | 5 | **20**(dream 需要宽召覆盖 synapse)|
|
||||
|
||||
复用通用 `search` 会让 dream 拿到的候选**既粒度不对**(chunk 级,同 node 多次出现)**又信息冗余**(chunk text 不必要)**又被噪声污染**(daily / resource hits 永远不是 dream 的 UPDATE 候选)**又召回偏窄**(expand_links 把已 link 的拖回来,挤掉真正未 link 的 synapse 候选)。所以 dream 需要自己的 `node_search`。
|
||||
|
||||
**为什么 dream toolkit 不包含 traverse(或 dream_traverse)** —— traverse 是 **retrieve-time 子图挖掘工具**,跟 dream 写入场景**结构性错位**:
|
||||
|
||||
| 维度 | traverse 的本性(retrieve / RAG)| dream 的真实需求(写入)|
|
||||
|---|---|---|
|
||||
| 方向 | 从已知中心向外扩散 | 从外部新材料找 vault 内相关候选 |
|
||||
| 输入 | 已知种子节点 | 新材料的 unit.summary |
|
||||
| 输出语义 | "X 的子图"(给读者上下文) | "X 应该 link 到哪些 Y" |
|
||||
| 图遍历的角色 | 主操作 | 召回兜底(可有可无) |
|
||||
|
||||
dream 写新节点要回答"vault 中谁跟我相关",这是**召回**问题(给 query 找相关),不是**遍历**问题(给中心找邻居)。**召回工具 = node_search;遍历工具 = traverse(留给 retrieve / 外部 agent 用)。dream 不需要遍历**。
|
||||
|
||||
(早期曾实现 `dream_traverse` 准备作为 dream toolkit 一员,后撤销 —— 实测拓扑遍历 vs vector 召回重叠率 ~95%,真正独特贡献 < 2%,且引入 LLM 调用 / 上下文 / 复杂度成本。详 git log。)
|
||||
|
||||
**node_search 参数极简**(`query / limit` 两个):**mode 不需要**(同一批候选服务双判断);**exclude_paths 不需要**(self 由 LLM 自己识别,frontmatter 内嵌让 agent 一眼看出"这就是我");**min_score 不需要**(RRF 分数范围 0~0.025,跟 cosine 0~1 量纲完全不同,召回深度由 `limit` 控制就够)。**调用次数 agent 自决**:prompt 不约束"必须一次",unit 跨多个概念维度时 agent 可多次召回。
|
||||
|
||||
**node_search 召回算法:weighted node-level RRF**(vector + BM25 hybrid):
|
||||
|
||||
- vector + BM25 各自独立召回 → 各自得到 chunk list(按各自 score 排序)
|
||||
- 同 path 多 chunk 合并:取该 path 在两个 list 中的 max chunk score 位置作为 node rank
|
||||
- RRF 融合:`score(path) = vector_weight × 1/(60 + rank_v) + (1-vector_weight) × 1/(60 + rank_k)`
|
||||
- `vector_weight=0.7`(默认),vector 主导,BM25 作为兜底(覆盖专有名词 / 缩写等 embedding 可能 struggle 的字面 case)
|
||||
- 输出 score 是 RRF 分(0~0.025 量级,不是 cosine);LLM 不依赖具体分数,内化判 same/related/unrelated
|
||||
|
||||
**reinforce 并入立场**(对照 `auto_consolidate_design.md` §4 标作废):reinforce 不再是独立的 consolidate 动作 —— 它就是 step 4 的"织突触"。新节点写入瞬间一次性建立关系,vault 不维护"事后周期 batch 补 wikilink"的通道。F-2 自然守住 —— dream 只动新节点 body,不动其它节点。
|
||||
|
||||
**关键约束**(诚实承认):
|
||||
- **写入即定型** —— 今天没织的 wikilink 以后没机会再织;vault 单调演化
|
||||
- **一次性 commit,无事后兜底** —— prompt 明示"宁可多织"(false positive 一眼能否决;false negative 永远沉默)
|
||||
- **召回深度取决于 prompt 引导 + agent 配合** —— 不引入外部机械召回 step;prompt 已明示 `limit=20-30 × 两轮`,但仍是 ReAct agent 的开放执行
|
||||
- **dedup 与 synapse 在一次 LLM 调用内完成** —— 不拆独立 stage,共享召回结果,内化分类是免费的
|
||||
|
||||
#### 4.2.3 UPDATE 三种 flavor
|
||||
|
||||
| flavor | 何时 | body 怎么动 |
|
||||
|---|---|---|
|
||||
| **CORROBORATE**(最常见)| 已有节点已覆盖此抽象,材料是又一个实例 | body 实质不变 —— 追加 `derived_from::` 溯源,可选强化措辞("似乎"→"确实") |
|
||||
| **REFINE**(常见)| 已有节点覆盖了核心,但材料揭示新的范围 / 边界 / 维度 | 改相关片段使更精确,加新维度,加 `derived_from::`。正文在**精度**上长,不在**细节**上膨胀 |
|
||||
| **CORRECT**(少见)| 材料与已有抽象矛盾 / 表明它被夸大 | 收紧到新旧证据都支持的窄形式,或内联标注 `> note: contradicted by [[...]]` 不仲裁。仍加溯源 |
|
||||
|
||||
三种都受 §4.4 E-1 强守恒约束(出边集合不能缩)。
|
||||
|
||||
#### 4.2.4 关键边界
|
||||
|
||||
- **Phase 1 是 gate + 分类器** —— "不值得记忆"在 Phase 1 过滤(空列表);此外 Phase 1 还为每个进入 Phase 2 的 unit 分配 bucket(procedure / personal / wiki),决定 Phase 2 走哪份专用 prompt;Phase 2 必然写,sub-unit 与 digest 节点 1:1
|
||||
- **Phase 2 prompt 按 bucket 分发** —— `integrate_system_prompt_procedure` / `_personal` / `_wiki` 三份独立 system prompt,各自承载该桶的 body 形态指南与决策偏置,**不共用一份通用 prompt**
|
||||
- **CREATE 写入桶 = Phase 1 分配的桶**;**UPDATE 目标可在任意桶**(召回跨桶,UPDATE 命中谁就写谁)
|
||||
- **dream update 必须语义守恒** —— LLM 重写 body 时只能"融入"新内容,不能删除已有信息(只增不删 / 不改原意;冲突标注 `> 注:不同来源记载...`,不擅自仲裁);**当前实现下 E-1 强守恒是 prompt-only 自律**(canonical edit 不做机械 outbound diff;早期 `digest_edit` 子类的机械校验已在切到 canonical 工具时移除,详 §4.4)
|
||||
- **Phase 2 用 canonical write / edit** —— 不再有 `digest_write_step` / `digest_edit_step` 子类;桶归位与边守恒都是 prompt-level 纪律
|
||||
- **dream 不改其它节点正文**(F-2) —— 只动 subject
|
||||
- **dreamer 不做事件级伞节点** —— 材料本身(daily / resource 文件)就是 fan-out 点,每个 sub-unit 的 `derived_from::` 让材料天然聚合到所有派生节点
|
||||
- **0 出边节点合法**(没识别到合适邻居),后续 dream 进入时其它节点可以反向链回来 —— 不强求 LLM 一次性给全
|
||||
- **dream 漏判去重**(同概念建成新节点)→ 不主动兜底,接受重复;若 vault 累积明显重复,由 auto-consolidate 的 dups 检测周期 batch 产报告(`auto_consolidate_design.md` §3)
|
||||
- **召回不做 bucket 粗筛** —— LLM 拥有完整跨桶视野,可识别"概念跨桶同抽象"(例如同一原则在 wiki 已有节点而 Phase 1 把新材料归入 personal,此时 UPDATE wiki 节点而非新建 personal 节点)
|
||||
- **reinforce 已并入 dream synapse recall** —— 不存在独立的 reinforce 动作或周期 batch;突触构建(原 `auto_consolidate_design.md` §4 reinforce 的职责)在 dream Phase 2 synapse recall 阶段完成,新节点写入瞬间织全(详 §4.2.2)
|
||||
- **vault 不维护事后补 wikilink 通道** —— 上一条的直接推论;cognition §9.2 立场("关系建立在写入瞬间")在此自然守住
|
||||
|
||||
**provenance 写出**:
|
||||
- 行文中自然带:"... 该模式最早出现在 [[daily/2026/05/15.md]] 的实践中"
|
||||
- **强制 typed predicate `derived_from::`** —— body 必须织入至少一条 `derived_from:: [[daily/...]]` 或 `[[resource/...]]`,纯散文形式不会被未来的 update / 守恒比对识别为边,下次 update 时会消失
|
||||
- LLM 直接做语义守恒重写(只增不删) —— 不走"首版 append 起步"的过渡路径
|
||||
|
||||
### 4.3 F-invariants(演化的硬约束)
|
||||
|
||||
| # | 约束 | 含义 |
|
||||
|---|---|---|
|
||||
| **F-1** | **0 文件移动** | dream / split 都不移动现有文件;split 创建的是**新文件**,parent 原地 |
|
||||
| **F-2** | **改正文限定 subject** | dream update 改 subject body;M split 改 parent body + 创建 children body;**没有任何操作改"其它节点正文"** |
|
||||
| **F-3** | **maintainer 只做 split** | 没有 summarize / merge / re-edge / link / unify / dissolve |
|
||||
| **F-4** | **一次一个候选** | M split 一次拆一个;dream 一次处理一个原子单元(N 候选 = N 次 dream) |
|
||||
| **F-5** | **不确定时不动** | dream 拿不准 create 还是 update → 倾向 create;split 拿不准 cluster → 不拆 |
|
||||
| **F-7** | **多归属合法** | 一个节点可被多个引用,也可指向多个;**没有"单父"约束** |
|
||||
| **F-10** | **inbound 目标节点不动** | 所有 inbound 是裸链 `[[<parent-path>.md]]`(digest 不引入 anchor);split 时全部保持,parent 路径未变即天然有效 |
|
||||
| **F-11** | **wikilink 是 body 的一部分** | 不存在"独立的边";reme 核心机械算子只感知字符层,语义责任在 LLM(prompt 自律);split 写入路径仍带机械 outbound 校验,dream update 当前是 prompt-only(详 §4.4) |
|
||||
|
||||
### 4.4 边守恒(E-1 / E-2 / E-3)
|
||||
|
||||
**前提**:wikilink 是 body 的一部分(F-11)。"边"不是独立抽象 —— body 一变,边就跟着变。reme 核心**没有"修边"算子**;边的所有变化都是 body 文本编辑的副作用。语义层守恒由两条腿承担:**prompt 自律**(LLM 在 update 时被反复要求 only-add, not-delete)+ **必要时的机械校验**(下文区分了哪些保留、哪些已移除)。
|
||||
|
||||
| # | 类别 | 规则 | 谁负责 |
|
||||
|---|---|---|---|
|
||||
| **E-1** | dream update 节点出边(subject 自身) | **强守恒**:新 body 出边 ⊇ 原 body 出边(`(target, predicate)` 二元组,predicate 一并守住) | **当前实现:LLM(prompt)自律** —— canonical `edit` 不做机械 outbound diff,prompt 反复强调"never drop wikilinks the old span contained" |
|
||||
| **E-2** | split parent 出边(parent 拆解) | `(parent_new ∪ ∪children_outbound) ⊇ parent_old` | LLM(split prompt)+ 机械(由 maintainer 在 split 写入路径上实施,见 `auto_consolidate_design.md`) |
|
||||
| **E-3** | inbound wikilink `[[<parent-path>.md]]` | split 时**不动** —— 仍指 parent;后续 dream 进入若 LLM 觉得 child 粒度更合适,直接加新边到 child(F-10) | 不动 |
|
||||
|
||||
**E-1 实现取舍**:早期版本有专用 `digest_edit_step` 子类,在写入前对 body 做 outbound diff 比较,违反守恒时返回 `REJECT_CONSERVATION` 让 LLM 重试。在切到 canonical `edit` 工具(放弃 digest 子类)后,这道机械校验被移除 —— 守恒退化为 prompt-only 自律。trade-off:
|
||||
- **失**:LLM 偶尔会在 REFINE / CORRECT 时无意丢弃 `derived_from::` 链;系统不再自动拒写
|
||||
- **得**:Phase 2 工具与系统其它写入路径完全一致(write / edit 是 canonical job),没有 dream-private 写入语义;prompt 复杂度下降,工具表面更小
|
||||
- **后续**:若 prompt-only 守恒在生产中被证伪(掉链率高),可在 canonical `edit` 上挂一个可选的 conservation 校验 hook(不再走子类化路径),由 dreamer 在调用前后各 read 一次做 diff;但当前不做
|
||||
|
||||
**强守恒(集合包含)而非等价**:`new ⊇ old` = 允许加新边(新关联),不允许减边(老内容不能丢);`new == old` 会拒绝任何新出边 → update 失去意义。
|
||||
|
||||
**predicate 守住** —— `[[A]]` ↔ `is_a:: [[A]]` 视为不同 key,升降级走显式 audit 路径,不走默认。重排 / 改 alias / 加新边都不被拦下(集合相同或只增)。
|
||||
|
||||
**provenance 不单列** —— 节点反指上游 daily/resource 的 wikilink 是 body 正文的一部分,跟其它 wikilink 走同一套 E-1 / E-2;reme 核心没有 provenance 专用算子。
|
||||
|
||||
**inbound anchor 这一类不存在** —— digest 不引入 anchor,所有 inbound 都是裸链,走 E-3 即可,无需机械 retarget 子流程。
|
||||
|
||||
---
|
||||
|
||||
## 5. 与其它层
|
||||
|
||||
| 上下游 | 关系 |
|
||||
|---|---|
|
||||
| ← **auto-memory**(daily) | dream 读 daily 作为入流;daily 写完即对 dream 可见 |
|
||||
| ← **resource** | dream 读 resource 作为入流(只读,不写) |
|
||||
|
||||
**关键边界**:dream 不写 daily / resource(I-2 / I-3);只写 digest 节点 body(自身 subject)。dream 不感知下游 —— split / 链接增强 / 索引刷新 / rename 等由 `auto_consolidate_design.md` / `auto_cognition_design.md` / `update_store_index_loop` 各自负责。
|
||||
|
||||
---
|
||||
|
||||
## 6. 下一步
|
||||
|
||||
本文档覆盖 dream 模型(桶 / 节点 / 边 / 演化)。组织端实现清单(M split / D 检测 / CAS 框架)见 `auto_consolidate_design.md` §10。
|
||||
|
||||
- ✅ **dream step 实现** —— Phase 1 extract(识别抽象 + 分配 bucket)+ Phase 2 integrate(per sub-unit,**bucket-specific prompt 分发**;`reme4/steps/evolve/dream.py` + `dream.yaml`,与 `auto_memory` 同级同形)
|
||||
- ✅ **三桶 hard-coded** —— `procedure / personal / wiki`,`BUCKETS` 常量在 `dream.py` 顶部,Phase 1 通过 `MemoryUnit.bucket: Literal[...]` 由 Pydantic 强制约束
|
||||
- ✅ **provenance prompt 规范** —— `derived_from:: [[daily/...]]` / `[[resource/...]]` 强制(三桶 prompt 各自重申)
|
||||
- ❌ ~~**边守恒校验工具**~~ —— 早期 `digest_edit` 子类的 outbound diff 校验已随子类一并移除(切到 canonical `edit`);E-1 现由 prompt 自律,详 §4.4
|
||||
- ❌ ~~**bucket 集合配置外置**~~ —— 撤销:三桶是 dream 模型本身的一部分,不做配置参数(`vault.yaml` 不再承载 `digest.buckets`,`_buckets.md` 视图也不再生成)
|
||||
- 🆕 **Phase 2 召回拆 dedup / synapse**(2026-06-02 沉淀,详 §4.2.2)—— 当前 prompt 共用一次 `search(limit=5)`,既不够 dedup 精度也不够 synapse 覆盖;落地:`dream.yaml` 6 处(en + zh × 3 buckets)Recall 段改写,加 synapse 模式说明 + 写入即定型纪律
|
||||
- 🆕 **`file_store.default.embedding_model` 启用**(blocker)—— `default.yaml` 当前 `""`,synapse recall 用 vector_weight=1.0 模式必须开启;否则 `search` 退化为纯 BM25,dedup 也劣化
|
||||
- 🆕 **reinforce 并入立场写入**(详 §4.2.2)—— 与 `auto_consolidate_design.md` §4 标作废同步;`hierarchical_summary.md` §13.2 Q4 标解决
|
||||
|
||||
实现进入 `reme4/steps/evolve/` 时,本文档与 `auto_memory_design.md` / `auto_consolidate_design.md` / `auto_cognition_design.md` 共同作为契约依据。
|
||||
|
|
@ -1,197 +0,0 @@
|
|||
# auto-memory 设计(实时事件拆分 / 写入 daily)
|
||||
|
||||
> 本文档记录 reme4 中 **auto-memory** 的设计讨论 —— 把 agent 连续的对话 / 任务流切成离散的 daily 事件原子,inline 落到 `daily/` 层。
|
||||
>
|
||||
> 配套阅读:
|
||||
> - `structure.md` §2.1-2.2(daily 层定位)/ §3.4(sync 动作语义)/ §7.1(synchronizer 模块)
|
||||
> - `auto_dream_design.md`:auto-memory 产物如何被 dream 消化(dream 读 daily 作为入流之一)
|
||||
> - `auto_consolidate_design.md`:digest 的组织端 / CAS 写入协议;auto-memory 不直接复用,但事件级"拆"与节点级 split 在概念上同构(都把过载粒度切小)
|
||||
> - `auto_cognition_design.md`:auto-cognition 三阶段顶层思想(写入 / 巩固 / 检索);daily 节点是 cognition 图视图的一部分(承载 `derived_from::` 反指),但不参与 Stage 2 巩固改造
|
||||
>
|
||||
> **服务全景**:reme 服务两条主线 —— **auto-memory**(本文档,入流端 / daily 写入)与 **auto-cognition**(顶层思想:写入 = auto-dream,巩固 = auto-consolidate,检索 = auto-recall)。auto-memory 把 agent 实时事件流切成 daily 事件原子;它的产物是 dream(cognition Stage 1)消化的两路输入之一(另一路是 resource)。
|
||||
>
|
||||
> **核心立场**:auto-memory 是 `structure.md` §3.4 `sync` 动作的实现侧 —— 强调 **inline 实时**与**事件边界检测**。是不是改名 sync → auto-memory 留给上层文档对齐,本文档聚焦机制。
|
||||
|
||||
---
|
||||
|
||||
## 0. 问题陈述
|
||||
|
||||
agent 的对话与任务过程是连续事件流(用户回合、工具调用、上下文切换、中断恢复),但记忆系统需要离散的、可独立检索的事件单元。auto-memory 解决这个切分问题。
|
||||
|
||||
| 输入 | 输出 |
|
||||
|---|---|
|
||||
| agent 当前事件流(对话回合 / 工具调用 / 任务切换信号);可选 `notify` 候选作为 cue | `daily/<date>/<event-slug>/<note>.md` 事件原子;`daily/<date>.md` 主索引 |
|
||||
|
||||
**设计目标**:
|
||||
1. **事件边界尽量与 agent 语义意图一致** —— 同一个意图(同一个任务 / 同一段思路)→ 同一个事件;意图切换 → 新事件
|
||||
2. **inline 实时写入** —— 不滞后,不批处理;agent 一边工作,记忆一边落地
|
||||
3. **保持 daily 写权契约** —— I-2 单作者(同 folder 不并发改);folder 名 = summary note 名(I-3 可移动单元)
|
||||
|
||||
**显式排除**(不属于 auto-memory 职责):
|
||||
- ❌ 蒸馏 / 沉淀:那是 auto-dream(`auto_dream_design.md`)的事
|
||||
- ❌ 实体识别 / wikilink 自动补全:cognition 三阶段不在写入后做"事后补 wikilink"(详 `auto_cognition_design.md` §1.1);所有 wikilink 由 dream 在写入瞬间产出
|
||||
- ❌ 改写 resource / digest:auto-memory 只写 daily(I-1 / I-3)
|
||||
|
||||
---
|
||||
|
||||
## 1. 已对齐决策
|
||||
|
||||
### 1.1 物理布局:与 `structure.md` §2.2 对齐
|
||||
|
||||
| 项 | 决策 |
|
||||
|---|---|
|
||||
| **主轴** | 时间 + 任务:`daily/<date>/<event-slug>/` |
|
||||
| **event-slug** | LLM 抽取的事件短名(snake_case / dash-case;不强制 schema),同 `<date>` 下唯一 |
|
||||
| **folder 内** | 一个事件可有 N 个 note(`progress.md` / `decision.md` / `references.md` 等),由消费层 schema 决定;最少含一个 summary note,与 folder 同名 |
|
||||
| **主索引** | `daily/<date>.md`:当天事件列表(机械写入,wikilink 指向各 event folder)|
|
||||
| **跨日索引** | 不强制;dream 消费时按 `<date>` 范围拉取即可 |
|
||||
|
||||
**为什么不是单文件 event**(report §5.1 一种简化方向):
|
||||
- 单文件 event = `daily/<date>/<event-slug>.md` 比 folder 模型简单,但失去"一个事件可包含多个视角 note"的灵活度
|
||||
- 现行 `structure.md` 已定 folder 单位模型;auto-memory 沿用,不破坏既有 I-2 / I-3
|
||||
- 若后续 dogfooding 验证单事件普遍只有一份 note,可演进为 folder 内只放一份 summary,机械上等价于单文件方案 —— 演进路径平滑,不需要现在选
|
||||
|
||||
### 1.2 事件边界:语义意图切换驱动
|
||||
|
||||
事件边界由 LLM 在 inline 写入时判:**当前回合的意图是否仍属上一个 event**。
|
||||
|
||||
| 维度 | 决策 |
|
||||
|---|---|
|
||||
| **决策时机** | 每个 agent 回合写入前 inline 判 |
|
||||
| **决策依据** | 上一个 active event 的 summary + 当前回合内容;LLM 输出 `{continue: bool, new_event_slug?: str, summary_patch?: str}` |
|
||||
| **continue=true** | append 当前回合到 active event(append-only 或 LLM 重写 summary,详 §1.3) |
|
||||
| **continue=false** | 关闭 active event(写最终 summary)+ 开新 event folder(slug 由 LLM 给)|
|
||||
| **同时 active 多事件** | 不允许(I-2 单作者)—— 一时刻只一个 active event;真要并行任务,agent 自己 sync 切换 |
|
||||
|
||||
**已排除**:
|
||||
- 时间窗口切分(N 分钟无活动则切)—— 对话节奏因任务而异,时间窗口噪声大
|
||||
- 关键词切分(出现"切换 / 现在做 X"等触发词)—— 假阳性高,且不所有切换都明显说出
|
||||
- 后置 batch 切分 —— inline 写入要求 event 必须当下可决定归属,不能等
|
||||
|
||||
### 1.3 事件内写入模型
|
||||
|
||||
active event 内,每个回合的内容写到 event folder 下,有两种模式可选(消费层 schema 决定):
|
||||
|
||||
| 模式 | 形态 | 适用 |
|
||||
|---|---|---|
|
||||
| **append-only** | 一份 `<event-slug>.md`,新回合 append 到末尾(章节 / 时间戳 / 等)| 实现最简;事件短(< 几十回合)时可读性 OK |
|
||||
| **多 note 重写** | summary note(folder 同名)+ 各视角 note(`progress.md` / `decision.md`);LLM 把新内容融到对应 note,summary note 重写为当下概览 | 事件长 / 多视角时可读性高;LLM 成本高 |
|
||||
|
||||
**默认 opinionated default**:append-only(最简启动)。消费层可改 prompt + schema 走多 note。
|
||||
|
||||
**与 E-1 守恒的关系**:daily 不强制 E-1 守恒(它是工作记录,允许 LLM 删旧加新);只在 multi-note 重写模式下,可选启用类似守恒(保留所有 wikilink),具体由消费层决定。
|
||||
|
||||
### 1.4 主索引 `daily/<date>.md`
|
||||
|
||||
当天事件 list 视图,机械维护(无需 LLM):
|
||||
|
||||
| 触发 | 操作 |
|
||||
|---|---|
|
||||
| 新建 event folder | 主索引 append 一行 `[[daily/<date>/<event-slug>/<event-slug>.md|<event-slug>]]` |
|
||||
| 事件关闭(被切下一个 event) | 主索引该行 append 最终 summary 摘要(可选,LLM 写最终 summary 时附带写入) |
|
||||
| 索引文件不存在 | 写入第一个 event 时创建 |
|
||||
|
||||
主索引**仅承担当天浏览锚点**:文件系统 `ls daily/<date>/` 也能看见,但有主索引人/agent 可直接 `read daily/2026/05/28.md` 拿到 list 视图 + summary 一览。
|
||||
|
||||
不维护跨日索引(`daily/2026/05.md` 或 `daily.md`):dream 消费时按时间范围拉取即可;`list daily/<date>/` 已经覆盖浏览需求。
|
||||
|
||||
### 1.5 与 notify 的协作
|
||||
|
||||
`notify` 是 reme → agent 的虚边推送(`structure.md` §3.3),把"有新 resource 值得看"传递给 agent。auto-memory 在以下两点与 notify 协作:
|
||||
|
||||
| 维度 | 协作方式 |
|
||||
|---|---|
|
||||
| **新事件 cue** | agent 收到 notify 后,如果决定响应(开始处理这个候选),通常会触发**新 event** —— auto-memory 把 notify payload 作为 hint(候选 resource 路径)写入新 event 的 summary,顺手用 wikilink 引上 |
|
||||
| **acknowledge 派生** | event note 里出现指向 `[[resource/...]]` 的 wikilink → L1 watcher 将该 resource 推送状态置 `acknowledged`(`structure.md` §3.3 / §6.2);auto-memory 自身不调任何 ack API |
|
||||
|
||||
**关键约束**:auto-memory **不强制** agent 用 wikilink 引 notify 候选 —— agent 可能略过、也可能不通过 wikilink 而是直接读 resource。ack 是 daily → resource wikilink 的副产品,不是 auto-memory 显式负责的事。
|
||||
|
||||
---
|
||||
|
||||
## 2. 待对齐边界点
|
||||
|
||||
### 2.1 LLM 决策频率与成本
|
||||
|
||||
inline 边界检测的最朴素形态是每回合调一次 LLM。在长对话 + 高频回合下成本可观。可选优化:
|
||||
- **continue 假设默认**:大多数回合是 continue(同一意图内),LLM 可能只在"看似切换"启发(token 跨度大 / 工具种类突变 / 用户显式说"接下来")时跑;否则默认 continue 不调 LLM
|
||||
- **批回合**:每 N 回合批一次,延迟切分(代价:active event 边界滞后,首版可接受)
|
||||
|
||||
首版默认每回合调一次(最简,正确率高),M1+ 视成本优化。
|
||||
|
||||
### 2.2 中断恢复 / 跨进程 active event
|
||||
|
||||
agent 进程重启 / Service 重启后,如何识别"还有 active event"?
|
||||
|
||||
候选方案:
|
||||
- **L2 自治状态**:L1 watcher 派生 `daily/<date>/<event-slug>/` 中最新 mtime 的 event 为 active(默认 N 分钟内有写入)
|
||||
- **状态文件**:`.daily-active` 维护 active event slug,Service 启动时读
|
||||
- **每次重建**:agent 进程重启视为新 event,旧的关闭(切到 §1.2 continue=false 路径)—— 最简但会增加事件数
|
||||
|
||||
倾向 §1.2 自然路径(进程重启 = LLM 下次判 continue=false 概率高)+ 不维护状态文件,详细 worker recovery 留给 Service 实现。
|
||||
|
||||
### 2.3 多 agent 同 vault 的 active event 隔离
|
||||
|
||||
I-2 daily 单作者契约在多 agent 场景下需细化。候选:
|
||||
- per-agent date subfolder:`daily/<date>/<agent-id>/<event-slug>/`
|
||||
- 单 agent 模式 + agent ID 进 event-slug:`<date>/<agent-id>_<event-slug>/`
|
||||
|
||||
第二种破坏 slug 短名习惯;第一种引入额外层级。倾向后者作为消费层契约,reme 核心不固化。
|
||||
|
||||
### 2.4 事件粒度的 prompt 引导
|
||||
|
||||
边界检测的 prompt 决定切分粒度。粗 = event 大 / dream 看每个 event 时容易 overflow;细 = event 数爆炸 / 主索引拥挤。
|
||||
|
||||
**opinionated default prompt 倾向**:
|
||||
- 一个意图 = 一个事件(用户提了 X 问题 / agent 开了 Y 任务 → 直到这个意图收尾)
|
||||
- 跨意图的"附带工作"(查资料 / 算个数)归入当前意图,不开新 event
|
||||
- 真新意图("好,现在我们做下一件事")才切
|
||||
|
||||
详细 prompt 落 `reme4/steps/jobs/protocol.md` 或 synchronizer 的 prompt 模板。
|
||||
|
||||
### 2.5 与 resource ingest 的时序
|
||||
|
||||
如果 ingest 与 auto-memory 同时活跃(External push 推 resource 进来 + agent 在 sync),且 agent 想响应这个新 resource:
|
||||
- ingest 写完 resource → L1 watcher 派生 L2 → notifier 决策推送(`structure.md` §5.3)→ Service MCP 推给 agent
|
||||
- agent 在当前回合或下一回合响应 → auto-memory 判 continue=false 开新 event,wikilink 引上 resource
|
||||
|
||||
整条链 sub-second 到 seconds(notify 节奏);auto-memory 不直接知道 ingest,只在 agent 决定响应时被动接收 notify payload。
|
||||
|
||||
### 2.6 跨日任务延续
|
||||
|
||||
event 物理路径含日期(`daily/<date>/<event-slug>/`),同一意图跨日的任务无法用同一 event folder 承载。候选模型:
|
||||
|
||||
| 模式 | 形态 | 适用 |
|
||||
|---|---|---|
|
||||
| **每日新 event,wikilink 反指前日** | new day 起新 folder;summary note frontmatter 加 `inherits: [[daily/<prev-date>/<prev-slug>/<prev-slug>.md]]`;新 event body 不复制旧内容,仅引用 | event-slug 短,日切口干净;查 backlinks 拼出整条任务链 |
|
||||
| **同 event 重复写不同日** | 不允许(I-2 single author + event folder date 在路径上,跨日写违反路径不可变) | × |
|
||||
| **任务 ID 跨 daily 抽象** | 引入 `task-id` 维度,daily event 只是某 task 的某一日切片;额外维护 task index | 复杂度高,M0 不引入 |
|
||||
|
||||
**倾向**:第一种(`inherits` frontmatter wikilink)—— 与 §1.4 主索引一致(机械维护),实现侧 LLM 在 §1.2 boundary 判定时若发现意图与最近 N 天某个 active 任务一致,直接写入 inherits 即可。详细 boundary prompt 落 §2.4。
|
||||
|
||||
INHERIT 行为细节(扫描窗口、predecessor 是否关闭、Plan/Objective 是否拷贝)归消费层 schema 决定;reme 核心只承认 `inherits:` frontmatter wikilink 作为跨日链路载体。
|
||||
|
||||
---
|
||||
|
||||
## 3. 与其它层的协作
|
||||
|
||||
| 上下游 | 关系 |
|
||||
|---|---|
|
||||
| ← **notify** | 接收 notify payload 作为新 event cue;不强制响应,不强制 wikilink 引 |
|
||||
| ← **resource** | 只读(通过 wikilink 引);不写 |
|
||||
| → **daily** | **唯一写者**(I-2);写 event folder + 主索引 |
|
||||
| → **auto-dream** | dream 读 daily 作为入流(`auto_dream_design.md` §4.2 dream scope);auto-memory 写完即对 dream 可见(走 L2 索引,有 eventual 窗口) |
|
||||
| → **auto-cognition (三阶段)** | daily 节点是 cognition 图视图的一部分;dream(Stage 1)读 daily 作为入流;consolidate(Stage 2)只对 digest 节点跑 dups / community / decay,**不改 daily**;recall(Stage 3)三层并行召回时 daily 也参与命中 |
|
||||
|
||||
**关键边界**:auto-memory 是 daily 写入端的**唯一**入口;cognition 三阶段没有任何子阶段会**事后改写 daily**(无写回路径)。daily 一旦由 auto-memory 写完,就只被读不被改(I-2 / I-3 仍守);后续 dream / consolidate / recall 都是只读消费。
|
||||
|
||||
---
|
||||
|
||||
## 4. 下一步
|
||||
|
||||
1. **synchronizer step 实现**:event 边界检测 prompt + active event 状态管理 + inline 写入(append-only 默认)
|
||||
2. **主索引维护**:`daily/<date>.md` 机械维护(新 event 时 append、关闭时附 summary)—— 走 crud/daily 基础工具
|
||||
3. **notify ack 派生验证**:L1 watcher 派生 acknowledged 状态(`structure.md` §6.2),与 auto-memory 的 wikilink 写入端到端跑通
|
||||
4. **多 agent 隔离 schema**(M1+):若实际有并发 agent,确定 daily 子目录 / slug 命名约定
|
||||
5. **粗 / 细粒度 prompt 调参**:dogfooding 后看实际 event 数 / dream 消化效率,调 boundary prompt
|
||||
|
||||
实现进入 `reme4/steps/jobs/` 与 `reme4/file_graph/` 时,本文档与 `auto_dream_design.md` / `auto_cognition_design.md` 共同作为契约依据。
|
||||
|
|
@ -1,323 +0,0 @@
|
|||
# auto-recall 设计(Stage 3 检索:信号融合 + 召回增强)
|
||||
|
||||
> 本文档:reme4 中 **auto-cognition 三阶段** 的 **Stage 3 — 检索阶段** 实现。覆盖 query 到来时如何把 vault 一等公民信号(wikilink 图 / frontmatter)与维护阶段产出信号(centrality / community / recency / archived)融合,生成最终召回。
|
||||
>
|
||||
> 配套阅读:
|
||||
> - `auto_cognition_design.md`:三阶段顶层思想(本文档是 Stage 3)
|
||||
> - `auto_dream_design.md`:Stage 1 写入 / 节点 + 边模型
|
||||
> - `auto_consolidate_design.md`:Stage 2 维护 —— **本文档消费它产出的所有 `meta/*.json`**
|
||||
> - `structure.md` §4(retrieve 三种问法)/ §7.4(为什么没有 retriever 模块)
|
||||
> - `reme4/steps/index/search.py` / `traverse.py`:现有原子实现
|
||||
>
|
||||
> **核心立场**:
|
||||
> - retrieve **不引入新 L4 模块**(`structure.md` ✗-15)—— 三种问法各自由 L3 原子工具(`list_step` / `search_step` / `traverse_step`)直接覆盖
|
||||
> - 本文档增强**集中在 `search_step` 内部**:把维护信号融入打分 / 排序 / 过滤;`traverse_step` 仅做小幅参数扩展
|
||||
> - retrieve **只读 vault,不写 body / 不写 frontmatter**;唯一写入是 `meta/access_log.json`(命中计数,供下次 recency 计算)
|
||||
|
||||
---
|
||||
|
||||
## 0. 问题陈述
|
||||
|
||||
`structure.md` §4 已规定 retrieve 三种问法(state / semantic / topological)正交分立(R-1)。本文档**只增强 semantic 问法**;state 问法已被 `list_step` 覆盖,topological 问法已被 `traverse_step` 覆盖。
|
||||
|
||||
semantic 问法当前在 `reme4/steps/index/search.py` 实现:
|
||||
|
||||
| 已就绪 | 缺口 |
|
||||
|---|---|
|
||||
| ✅ vector + keyword 并行召回 | ❌ 节点中心性加权(高权威节点不被 boost) |
|
||||
| ✅ RRF fusion(vector_weight=0.7) | ❌ 同社区 boost(`meta/communities.json` 未消费) |
|
||||
| ✅ 一跳 expand_links(向前向后,max=10) | ❌ 时效衰减 / 冷藏过滤(`meta/access_log.json`、`meta/archived.json` 未消费) |
|
||||
| ✅ min_score 过滤 + limit 截断 | ❌ 同 file 多 chunk 冗余(top-K 可全来自同节点) |
|
||||
| ✅ chunk-level 命中(start_line / end_line) | ❌ 节点级 surface(frontmatter `name + description` 未与 chunk 命中合并展示) |
|
||||
| ✅ 二跳 traverse 作为独立工具 | ❌ search 内 multi-hop expand(只一跳,跨术语关系到不了) |
|
||||
| | ❌ query rewrite / multi-query(单一表达式漏召) |
|
||||
|
||||
**本文档的工作 = 设计这些缺口怎么填**,在 `search_step` / `traverse_step` 现有形态上增量。
|
||||
|
||||
---
|
||||
|
||||
## 1. 三种问法分立(继承 R-1)
|
||||
|
||||
```
|
||||
┌─────────────┐ state 问 ──────► list_step + frontmatter filter
|
||||
│ agent │ semantic 问 ──► search_step (本文档主要增强)
|
||||
└─────────────┘ topological 问 ► traverse_step (小幅参数扩展)
|
||||
```
|
||||
|
||||
| 问法 | 原子工具 | 本文档涉及 | 备注 |
|
||||
|---|---|---|---|
|
||||
| **state** | `list_step` / `daily_list_step` / `frontmatter_read_step` | 不涉及 | frontmatter 过滤无需维护信号 |
|
||||
| **semantic** | `search_step` | **主战场**(§3-§7) | RRF fusion + 信号加权 + multi-hop + query rewrite |
|
||||
| **topological** | `traverse_step` | 小幅(§8) | 起点选择可借助维护信号 |
|
||||
|
||||
**关键约束**(继承 `structure.md` ✗-8):**绝不合并三种问法成单一 read verb**。本文档增强 search_step,但不把 list / traverse 揉进 search;agent 按需各自调用。
|
||||
|
||||
---
|
||||
|
||||
## 2. 维护信号契约消费总览
|
||||
|
||||
`auto_consolidate_design.md` §11 列出维护产出。retrieve 端按以下方式读:
|
||||
|
||||
| 信号 | 来源 | 加载时机 | 缺失行为(降级) |
|
||||
|---|---|---|---|
|
||||
| **centrality** | `file_graph` 反向索引(实时) | search_step init 时引用 file_store | 总在线(file_graph 是核心组件) |
|
||||
| **community** | `meta/communities.json` | search_step 启动 lazy load(LRU 缓存,文件 mtime 失效) | 缺失 → 不做同社区 boost |
|
||||
| **recency** | `meta/access_log.json` | 同上 | 缺失 → recency_factor = 1.0 |
|
||||
| **archived** | `meta/archived.json` | 同上 | 缺失 → 不过滤,所有节点参与 |
|
||||
| **wikilink 图** | vault 自身(file_graph) | 实时 | 总在线 |
|
||||
| **frontmatter** | vault 自身(`name` / `description`) | chunk 已带 metadata | 总在线 |
|
||||
|
||||
**version 校验**:`meta/*.json` 加载时检查 `version` 字段,与本文档约定的 schema 版本不匹配 → 走"该信号缺失"降级,日志告警(不崩)。
|
||||
|
||||
**新鲜度**:每个信号文件的 `computed_at` 暴露给调用者(metadata 中带 `signals_freshness`),调用方知道当前权重基于多久前的快照。超过阈值(默认 14 days)→ logger.warning + 仍使用(避免维护偶尔失效就拒绝服务)。
|
||||
|
||||
---
|
||||
|
||||
## 3. semantic 问法增强:打分公式
|
||||
|
||||
**目标**:把维护信号融入 fused chunk 的最终 score,让排序兼顾"文本相关 + 节点权威 + 同社区 + 时效"。
|
||||
|
||||
### 3.1 当前打分(基线)
|
||||
|
||||
```
|
||||
score = RRF_fused(vector_rank, keyword_rank, vector_weight=0.7)
|
||||
```
|
||||
|
||||
仅文本相似度。
|
||||
|
||||
### 3.2 新打分公式
|
||||
|
||||
```
|
||||
final_score = base_score
|
||||
× centrality_factor(path)
|
||||
× community_factor(path, query_seed_paths)
|
||||
× recency_factor(path)
|
||||
```
|
||||
|
||||
| 因子 | 公式 | 默认参数 | 来源 |
|
||||
|---|---|---|---|
|
||||
| **base_score** | RRF 融合分(现状) | vector_weight=0.7 | search.py |
|
||||
| **centrality_factor** | `1 + α · log(1 + inbound_count)` | α = 0.15 | file_graph 实时 |
|
||||
| **community_factor** | 同 community 命中节点 → ×β,否则 1.0 | β = 1.20 | `meta/communities.json` |
|
||||
| **recency_factor** | `exp(-Δt / τ)`,Δt = 距 last_hit_or_update | τ = 60 days | `meta/access_log.json` |
|
||||
|
||||
**为什么乘法而非加法**:
|
||||
- 各因子量级不同(base_score ≤ 0.02,centrality 与 query 无关),加法需大量 normalization;乘法天然处理量级差
|
||||
- 任一因子接近 0(极冷藏 / 极孤立)→ 整体压低,符合"弱信号一票否决"直觉
|
||||
- 默认 α/β/τ 让 factor 落在 [0.5, 2.0] 区间,不会让 base_score 完全失声
|
||||
|
||||
**已排除**:LLM rerank。它是 query-time 多调一次 LLM,成本高,M0 不引入;留 M1+ 视 dogfooding 决定。
|
||||
|
||||
### 3.3 query_seed_paths 的角色
|
||||
|
||||
community_factor 需要"query 主关注的节点是哪些"才能判断同/异社区。做法:
|
||||
1. RRF 融合后取 top-N(N=3)的 fused chunk 的 path 作 seed
|
||||
2. 后续每个候选 chunk 的 path → 查它和任一 seed 是否同社区 → boost
|
||||
3. 不需要 query 自身被映射到 community(query 是字符串,不在图里)
|
||||
|
||||
**边界**:N=3 是经验起点;N 太大会让"同社区"几乎等于"全召回"失去区分度。dogfooding 后调。
|
||||
|
||||
---
|
||||
|
||||
## 4. semantic 增强:节点级合并(unique_paths)
|
||||
|
||||
**问题(gap 5)**:fused 列表里 top-5 可能是同 file 的 5 个 chunk,信噪比退化。
|
||||
|
||||
**当前**:`expand_links` 已用 `unique_paths = list(dict.fromkeys(c.path for c in fused))`,但 fused 本身没去重,limit=5 仍可全是同节点。
|
||||
|
||||
**新方案**(节点级 dedupe + 节点级 surface):
|
||||
|
||||
```
|
||||
fused (chunk-level) → group by path → 每组保留 top_chunks_per_path 个
|
||||
→ 每组追加节点 frontmatter (name + description) 作"节点级 surface"
|
||||
→ 再按节点 best_score 排序 → limit
|
||||
```
|
||||
|
||||
| 参数 | 默认 | 含义 |
|
||||
|---|---|---|
|
||||
| `top_chunks_per_path` | 2 | 同节点最多保留多少 chunk |
|
||||
| `surface_node` | true | 是否在每组前追加 frontmatter `name + description` |
|
||||
|
||||
**为什么**:
|
||||
- 节点是 retrieve 的语义单位(`auto_dream_design.md` §2 路径即 ID),chunk 只是"展示窗口"
|
||||
- frontmatter 是节点级摘要(name + description)—— 已是 dream 写入时认证过的信号,不召它浪费
|
||||
- 同节点多 chunk 时,frontmatter + top-2 chunk 比 5 个 chunk 信息密度高
|
||||
|
||||
### 4.1 答案展示形态
|
||||
|
||||
```
|
||||
========== digest/auth/jwt-rotation.md ==========
|
||||
[node] JWT Key Rotation
|
||||
Process for rotating JWT signing keys without downtime.
|
||||
[score=0.0241 centrality=2.1 community=1.2 recency=0.91]
|
||||
|
||||
---------- chunk @5-23 ----------
|
||||
<chunk text>
|
||||
|
||||
---------- chunk @45-60 ----------
|
||||
<chunk text>
|
||||
|
||||
[expansion] 1 inbound, 2 outbound (...)
|
||||
```
|
||||
|
||||
**对照旧形态**:每个 chunk 独立成块,无节点级 surface,scores 散在 chunk 头。新形态以**节点为视觉单位**,人 / agent 看到的第一眼是"哪个节点中了",而非"哪段文字中了"。
|
||||
|
||||
---
|
||||
|
||||
## 5. semantic 增强:multi-hop expand
|
||||
|
||||
**问题(gap 4)**:当前 expand_links 只展一跳,跨术语关系("分布式锁" → 一跳到"租约机制",再一跳才到"心跳协议")到不了。
|
||||
|
||||
**新方案**:expand_links 支持 `depth` 参数;默认仍 1(保守),agent / 配置可调到 2。
|
||||
|
||||
| 参数 | 默认 | 限制 |
|
||||
|---|---|---|
|
||||
| `expand_depth` | 1 | 最大 3(避免组合爆炸) |
|
||||
| `max_links_per_direction` | 10(现状)| 每跳每方向上限,深度不展开时限到当跳总数 |
|
||||
| `expand_path_budget` | 30 | 总扩展节点数硬上限,优先深度优先(深度浅但条数少) |
|
||||
|
||||
**为什么默认仍 1**:
|
||||
- 二跳延迟不可忽略(N × 10 × 10 = 100 候选 IO)
|
||||
- agent 需要"再深一层"时显式调 `traverse_step(depth=2)` —— 三种问法分立(R-1)
|
||||
- 默认深拉会让"语义召回"变成"图召回",违背 R-1
|
||||
|
||||
**何时调 2**:dogfooding 发现 vault 节点平均出度低 / 跨术语关系频繁 → 调到 2(改 search_step 配置,不改协议)。
|
||||
|
||||
---
|
||||
|
||||
## 6. semantic 增强:query rewrite / multi-query
|
||||
|
||||
**问题(gap 6)**:用户 query "JWT 怎么轮换" 可能错过 body 写"密钥定期更换"的节点(术语不同)。
|
||||
|
||||
**方案矩阵**:
|
||||
|
||||
| 方案 | 成本 | 效果 |
|
||||
|---|---|---|
|
||||
| **(a) 不做** | 0 | 漏召部分跨术语 |
|
||||
| **(b) embedding 多 query**(用同 LLM 生成 N 个表述) | LLM 调用 1 次(query → N 表述)+ N 次 vector_search | 中等 |
|
||||
| **(c) BM25 同义词扩展**(用静态词表 / 嵌入式词表) | 0(若有词表) | 弱(中文场景词表缺) |
|
||||
| **(d) HyDE**(LLM 生成假设答案 → 嵌入这个答案而非 query) | LLM 1 次 | 高,文献证实 |
|
||||
|
||||
**首版决策**:**(a) 不做**。理由:
|
||||
- vault 本身规模 M0 不大,推断增加召回但增 LLM cost 不划算
|
||||
- 维护阶段的 community 聚类已部分弥补"跨术语关系"(同社区 boost)
|
||||
- 真要做,优先 (d) HyDE,延 M1+ 再启,实施只需加一层 query 预处理
|
||||
|
||||
**契约预留**:search_step kwargs 加 `query_rewrite: str | None`(默认 None;非 None 则用此重写代替原 query 做 vector_search,keyword_search 仍用原 query)。SDK 层可调用 LLM 生成重写后传入,reme 核心不强加 LLM 依赖。
|
||||
|
||||
---
|
||||
|
||||
## 7. semantic 增强:archived 过滤
|
||||
|
||||
**问题**:长期未访问的旧节点应该默认排除。
|
||||
|
||||
**方案**:search_step kwargs 加 `include_archived: bool`,默认 false。
|
||||
|
||||
```
|
||||
fused → drop where path in archived_set → 后续打分 / unique_paths
|
||||
```
|
||||
|
||||
**何时绕过**:
|
||||
- agent 显式 `include_archived=true`(找历史 / debug)
|
||||
- query 命中节点本身在 archived → boost 推回(冷节点突然被命中,说明不是真冷)
|
||||
- **首版不做**,过滤即过滤;如有需要,M1+ 加"intent override"机制
|
||||
|
||||
**冷启动**(`meta/archived.json` 缺失)→ 不过滤,等同 `include_archived=true`。
|
||||
|
||||
---
|
||||
|
||||
## 8. topological 问法的小增强
|
||||
|
||||
`traverse_step` 当前完整:BFS / 多 seed / direction / depth / per-edge 输出。本文档不重构,仅:
|
||||
|
||||
### 8.1 起点选择借助维护信号(可选 hint)
|
||||
|
||||
agent 调用 traverse 时往往不知道"哪个节点是该主题的中心";维护阶段产出的 centrality 可作 hint:
|
||||
|
||||
| 用例 | 做法 |
|
||||
|---|---|
|
||||
| traverse 给定 seed | 不变,直接 BFS |
|
||||
| traverse 给定主题字符串(SDK 上层语法糖) | 先 search_step 找 top-1 → 用其作 seed → traverse depth=2 |
|
||||
|
||||
**位置**:这个组合在 SDK 上层做,不进 traverse_step;reme 核心保留 traverse 原子形态。
|
||||
|
||||
### 8.2 traverse 输出消费 archived
|
||||
|
||||
traverse_step 当前不知道 archived 信号。改造:加 `exclude_archived: bool` kwarg 默认 false(traverse 默认不过滤,因为它是图问法,过滤会破坏图视角)。SDK / agent 可显式开启。
|
||||
|
||||
---
|
||||
|
||||
## 9. retrieve 写访问日志(唯一对外写入)
|
||||
|
||||
**问题**:`meta/access_log.json` 的 `last_read` / `last_hit_count_30d` 谁写?
|
||||
|
||||
**约定**:retrieve 命中节点 → 异步 append 到访问日志缓冲区;由 maintain daily batch 聚合写入 `meta/access_log.json`。
|
||||
|
||||
| 路径 | 实现 |
|
||||
|---|---|
|
||||
| **同步写**(每 query) | retrieve 把命中 path 写入内存 ring buffer(进程级)|
|
||||
| **异步落盘** | 进程退出 / 维护 daily batch / 周期 flush(默认 10 min)|
|
||||
| **聚合** | maintain 在 daily access_log 重算时:读 ring buffer + 上一份 access_log → 合并写新版 |
|
||||
|
||||
**幂等**:同 query 多次重读同节点不应放大 last_hit_count;ring buffer 按 (path, day) 去重,每天每节点最多记一次"被读"。
|
||||
|
||||
**降级**:ring buffer 写失败 / flush 失败 → 不影响 retrieve 返回,只是日志少一条;recency 信号略迟。
|
||||
|
||||
---
|
||||
|
||||
## 10. 不变量 / 边界
|
||||
|
||||
| # | 约束 | 含义 |
|
||||
|---|---|---|
|
||||
| **R-1**(继承)| 三种问法分立 | 不合并 list / search / traverse 成单一 verb |
|
||||
| **R-2**(继承)| 默认 `digest > daily > resource`,可覆盖 | search_step 通过 `search_filter` 支持限层 |
|
||||
| **R-3**(继承)| 拓扑问与层无关 | traverse 跨三层(I-4) |
|
||||
| **R-4**(继承)| Provenance 默认 lazy | retrieve 不自动 traverse(R-4);expand_links 是性能优化非语义展开 |
|
||||
| **Re-1**(本文档)| retrieve 不引入 L4 模块 | 增强限定在原子 step 内部 |
|
||||
| **Re-2**(本文档)| retrieve 只读 vault | 不改 body / frontmatter / 文件位置 |
|
||||
| **Re-3**(本文档)| retrieve 唯一对外写入是 `meta/access_log.json` | 通过 ring buffer + maintain 聚合,不直接写 |
|
||||
| **Re-4**(本文档)| 任一维护信号缺失 → 降级不崩 | `meta/*.json` 缺 → 跳过对应因子,系统始终可用 |
|
||||
| **Re-5**(本文档)| version 不兼容 → 降级 + warning | 不阻断 retrieve |
|
||||
|
||||
---
|
||||
|
||||
## 11. 与其它文档的引用关系
|
||||
|
||||
| 引用 | 来源 |
|
||||
|---|---|
|
||||
| 三种问法 / R-1..R-5 | `structure.md` §4 |
|
||||
| 没有 retriever 模块 | `structure.md` §7.4 |
|
||||
| 节点 / 边 / wikilink 模型 | `auto_dream_design.md` §2 / §3 |
|
||||
| 维护信号契约 | `auto_consolidate_design.md` §11 |
|
||||
| centrality / community / recency / archived 输出 | `auto_consolidate_design.md` §3-§5 |
|
||||
| 路径即 ID | `auto_dream_design.md` §2 |
|
||||
|
||||
---
|
||||
|
||||
## 12. 下一步
|
||||
|
||||
实现进入 `reme4/steps/index/` 时,本文档与 `auto_cognition_design.md`(顶层)/ `auto_dream_design.md` / `auto_consolidate_design.md` 共同作为契约依据。
|
||||
|
||||
**search_step 增强(§3-§7)**:
|
||||
- ⏳ **打分公式**:加 centrality_factor / community_factor / recency_factor;config 化 α / β / τ(§3)
|
||||
- ⏳ **节点级合并 + surface**:group-by-path + frontmatter surface + top_chunks_per_path(§4)
|
||||
- ⏳ **multi-hop expand**:`expand_links` 支持 depth 参数,加 `expand_path_budget` 硬上限(§5)
|
||||
- ⏳ **query_rewrite kwarg**:契约预留,reme 核心不强加 LLM(§6)
|
||||
- ⏳ **archived 过滤**:`include_archived` kwarg,默认 false(§7)
|
||||
|
||||
**traverse_step 增强(§8)**:
|
||||
- ⏳ **`exclude_archived` kwarg**(默认 false)
|
||||
|
||||
**信号加载基础设施(§2)**:
|
||||
- ⏳ **`meta/*.json` lazy loader + LRU 缓存 + mtime 失效**
|
||||
- ⏳ **version 校验 + 降级路径 + warning logger**
|
||||
- ⏳ **signals_freshness metadata 暴露**
|
||||
|
||||
**access log 写入路径(§9)**:
|
||||
- ⏳ **进程级 ring buffer**(命中 path 异步 append)
|
||||
- ⏳ **周期 flush + (path, day) 幂等**
|
||||
- ⏳ **maintain daily 聚合接口**(读 ring → 合并旧 access_log → 写新版)
|
||||
|
||||
**性能与回归**:
|
||||
- ⏳ **基准测试**:打分公式启用前后的 召回 P@5 / MRR(用合成 vault + ground-truth query)
|
||||
- ⏳ **延迟监控**:维护信号读取 + multi-hop expand 的 p50 / p95
|
||||
|
|
@ -1,166 +0,0 @@
|
|||
ReMe新版本V4
|
||||
|
||||
@jinli
|
||||
新版reme是一个自管理的个人知识库。
|
||||
- **记忆分层：** → 记忆按"原始 → 加工"两层组织：`resource/`（原始素材）、`daily/`（日记事件）是只增不删的流水帐；`digest/` 是加工层，下分 `personal/`（个性化）、`knowledge/`（主题知识）、`procedural/`（Agent 任务经验）、`proactive/`（主动洞察）四个固定子目录，写入策略和检索权重各有差异。
|
||||
- **记忆的载体还是 Markdown：** → 所有记忆都是 Obsidian 兼容的 .md 文件——YAML front matter、四种 wikilink（`[[X]]` / `[[X#anchor]]` / `[[X|alias]]` / `![[X]]`）、Dataview 风格 `predicate:: [[X]]` 语义关系全部沿用社区约定。用户可读、可备份、可迁移，对抗黑盒。
|
||||
- **自我管理进化** → 不需要用户手工整理，Agent 在后台自动对于原始素材进行整理和融合，按照记忆的类型（个性化、程序化、知识类）进行分类整理并更新现有逻辑，同时自动Build link让笔记自己长出结构。这一点把 ReMe 同时与"手动建图的 Obsidian"和"扁平存储的Mem0"拉开。
|
||||
- **渐进式检索** → 自我管理进化的产出物不是一堆扁平笔记，而是一张可被**渐进式检索**消费的图：向量 + 关键词 + 图谱三路 RRF 融合，返回时通过 1-hop 邻居 meta 让 Agent"先看目录、再决定要不要展开正文"，不像传统 RAG 那样一次性把 top-K 切片塞进上下文。
|
||||
- **被集成而非内置（分发形态）** → ReMe 不做独立 Agent 产品，而是作为**能力**被任意 Harness 调用：SDK 深度集成（qwenpaw / AgentScope）、MCP Tool + skill.md、CLI + skill.md 三条路径并行，记忆跟着用户走，不绑定任何上层框架。
|
||||
|
||||
1. 目标： 构建个人知识库，集成qwenpaw等harness框架中，实现知识/记忆的自进化和自管理，结合graph高效搜索。
|
||||
2. 新的特性：
|
||||
- 支持多种记忆类型，包括个性化记忆、程序化记忆、知识类记忆
|
||||
- [❌ 待补充] 当前 reme4 中只有统一的 `FileNode/FileChunk` 抽象（`reme4/schema/file_node.py`、`reme4/schema/file_chunk.py`），尚未在代码层区分"个性化/程序化/知识类"三类记忆，需要在 schema 与 store 中扩展类型字段或子类。
|
||||
- 支持memory-self-evolving
|
||||
- [❌ 待补充] 没有发现自进化相关的 step/job 实现，目前只有基础的 search/reindex 等 common steps（`reme4/steps/common/`）。需要新增 auto-memory/auto-dream 等 step。
|
||||
- 支持markdown之间的链接，构建graph，更好的渐进式展开
|
||||
- [✅ 已实现 → `reme4/components/file_chunker/markdown_file_chunker.py`（wikilink 解析 + Dataview 谓词）、`reme4/components/file_graph/`（local/nx/neo4j 三种 graph 后端）]
|
||||
- [✅ 已实现 → `reme4/steps/common/search.py:109` `_expand_links`、`reme4/config/default.yaml:86` `expand_links` 参数（搜索结果可附 outlinks/inlinks 邻居元数据）]
|
||||
3. 工程实现：
|
||||
1. components
|
||||
- 支持backend切换
|
||||
- [✅ 已实现 → `reme4/components/component_registry.py`（`R.register(name)` 装饰器 + `R.get(ctype, backend)` 查找）；`reme4/application.py:51` 通过 `config.components` 中的 `backend` 字段动态构造]
|
||||
- 生命周期管理 start/close
|
||||
- [✅ 已实现 → `reme4/components/base_component.py:151` `start()` / `:162` `close()` / `:172` `restart()`，含 `is_started` 幂等保护与 `asyncio.Lock`]
|
||||
- components之间相互调用，支持前序依赖还是啥
|
||||
- [✅ 已实现 → `reme4/components/base_component.py:78` `BaseComponent.bind()` 声明依赖（含 `optional`、`default_factory`），`:98` `_resolve_bindings()` 自动注入；`reme4/application.py:80` `_topological_order()` Kahn 算法做拓扑排序、检测循环依赖]
|
||||
2. job/step，借鉴自github action
|
||||
- step是最小的执行单元，可以自由使用components，不需要管理生命周期
|
||||
- [✅ 已实现 → `reme4/steps/base_step.py`、`reme4/steps/common/`（demo/health_check/help/reindex/search/version/stream_demo 等内置 step）]
|
||||
- job是steps的集合，可以自由组合，支持step复用
|
||||
- [✅ 已实现 → `reme4/components/job/base_job.py`（顺序执行 step）、`reme4/components/job/stream_job.py`（流式 job）；`reme4/config/default.yaml:5` 通过 yaml 声明 job→steps 组合]
|
||||
- 对外job可以封装cli命令，mcp_tool，http服务接口等
|
||||
- [✅ 已实现（HTTP / MCP / CLI client） → `reme4/components/service/http_service.py:35` `_add_job` 把 job 注册成 POST 端点；`reme4/components/service/mcp_service.py`；`reme4/components/client/http_client.py`、`reme4/components/client/mcp_client.py`；`reme4/reme.py:27` `main()` 通过 CLI 子命令 `start` / `find_reme` / `<job_name>` 调用 client]
|
||||
3. application：
|
||||
- components的生命周期管理，通过前序依赖构建拓扑图启动应用
|
||||
- [✅ 已实现 → `reme4/application.py:115` `_start()` 按拓扑顺序启动所有 component；`:133` `_close()` 反序关闭]
|
||||
- 集成run_job
|
||||
- [✅ 已实现 → `reme4/application.py:148` `run_job()` / `:154` `run_stream_job()`]
|
||||
- 集成Service能力对外提供能力
|
||||
- [✅ 已实现 → `reme4/application.py:170` `run_app()` 调用 `service.run_app(app=self)`；`reme4/components/service/base_service.py`]
|
||||
4. 对外接口：
|
||||
- skill.md + cli方案，通用方案，支持集成到各种harness框架中
|
||||
- [⚠️ 部分实现] CLI 调用通道已具备（`reme4/reme.py:17` `call_server()` 通过 `http_client` / `mcp_client` 调任意已注册 job），但 [❌ 待补充] 仓库内未发现 `skill.md` 文件，需要为 Claude Code / 其它 harness 编写 skill 描述文件。
|
||||
- 可以选择agent来启动reme服务（后台）
|
||||
- [❌ 待补充] 未见"由 agent 自动拉起后台 reme 服务"的脚本/约定，需要补充进程托管或 launchctl/systemd 集成方案。
|
||||
- skill.md + mcp-tool方案，通用方案
|
||||
- [⚠️ 部分实现] MCP 服务通道存在（`reme4/components/service/mcp_service.py`、`reme4/components/client/mcp_client.py`），但 [❌ 待补充] 同样缺 `skill.md` 模板。
|
||||
- 需要手动启动mcp服务
|
||||
- [✅ 已实现 → `reme service` 模式可通过 `reme4/config/default.yaml:1` `service.backend: mcp` 切换，`reme4/reme.py` `start` 子命令拉起]
|
||||
- sdk集成（qwenpaw集成）
|
||||
- [❌ 待补充] reme4 内未见 qwenpaw / agentscope 相关适配代码（仅 `reme/`、`reme_ai/` 旧版有部分逻辑，但已废弃，按记忆 [[feedback_deprecated_directories]] 不应改动）。需要新建 `reme4/integrations/qwenpaw/` 之类的模块。
|
||||
- str + 封装AgentscopeTools
|
||||
- [❌ 待补充] 没有 `AgentscopeTools` 包装层。
|
||||
- 集成auto-memory、auto-dream、auto-memory-search的能力
|
||||
- [❌ 待补充] 三个能力均未实现。
|
||||
4. 记忆存储方案：
|
||||
- resource：原始对话日志，上传的文件，原始的html文件等
|
||||
- [❌ 待补充] `reme4/application.py:20` 仅创建 `metadata_dir` / `daily_dir` / `knowledge_dir`，未见 `resource_dir` 概念；需要在 `ApplicationConfig` 中加入并落地相应目录与抓取/上传逻辑。
|
||||
- daily：
|
||||
- daily/YYYYMMDD.md：主Agent调用write/edit工具修改，兼容上一版，同时承担了当天其他md的索引
|
||||
- [⚠️ 部分实现] `reme4/application.py:23` 已建 `daily_dir`，但目录内 markdown 的"主索引"约定与 write/edit 兼容协议无显式实现，主要靠主 agent 自身行为。需要文档化 + 校验。
|
||||
- daily/YYYYMMDD/{event}.md auto-memory 针对上下文对话，拆分成不同的事件存储，同时在YYYYMMDD.md构建好索引可以链接过来
|
||||
- [❌ 待补充] auto-memory 拆事件的 step / job 不存在。
|
||||
- knowledge:
|
||||
- knowledge/{topic:-personal/agent/financial/work...}/{xxx}.md 在空闲时间整理记忆，按照主题和事件进行分类存储
|
||||
- [⚠️ 部分实现] `knowledge_dir` 已建（`reme4/application.py:24`），但"按主题/事件整理"的后台任务、topic 枚举均缺失。
|
||||
- proactive:
|
||||
- proactive/YYYYMMDD.md 待定。如果存在给用户主动推送的能力，这里可以记录每一天agent给用户推荐的分析和心路历程。
|
||||
- [❌ 待补充] 主动推送/proactive 目录与逻辑均未实现。
|
||||
5. Markdown 格式 & Build Graph
|
||||
1. obsidian格式的Markdown文件格式
|
||||
- front matter格式
|
||||
- [✅ 已实现 → `reme4/components/file_chunker/markdown_file_chunker.py:313` `frontmatter.loads(...)`；`reme4/schema/file_front_matter.py`]
|
||||
- file link格式 4种格式
|
||||
- [⚠️ 部分实现] `markdown_file_chunker.py:88` `_WIKILINK_RE` 已支持 `[[target]]` / `[[target#anchor]]` / `[[target|alias]]` / `![[target]]`（嵌入），并支持 Dataview `predicate:: [[X]]` 与 inline `[predicate:: [[X]]]`。但 [❌ 待补充] 标准 Markdown `[text](url.md)` 链接尚未被解析为 graph 边。
|
||||
2. 更好的文件chunking机制
|
||||
- 旧版 类似rag 带overlap的chunking机制
|
||||
- [📌 历史] V3 旧逻辑，对照说明用，无需在 reme4 中实现。
|
||||
- 解析 Markdown Ast
|
||||
- [✅ 已实现 → `markdown_file_chunker.py:308` 使用 `mistletoe` 的 `Document`/`MarkdownRenderer`；`:335` `_build_tree` 把扁平 children 折叠成 section 嵌套树（`MdNode`）]
|
||||
- 每一个chunk都带全部标题
|
||||
- [✅ 已实现 → `markdown_file_chunker.py:381` `_chunk_node`（`before` 累积已经过的标题、`after` 拼剩余 desc_toc）；`:712` `_make_chunk` 用 `_toc_join(before, content, after)` 把全文目录骨架前后包裹]
|
||||
3. 通过link构建graph索引，同时构建反向link索引
|
||||
- [✅ 已实现 → `reme4/components/file_graph/base_file_graph.py`、`reme4/components/file_graph/local_file_graph.py`（含 `get_outlinks`、`get_inlinks` 双向索引）；nx/neo4j 后端同 API；`reme4/steps/common/search.py:114-129` 使用双向 link]
|
||||
4. link的生成有两种，一种是主agent在生成link；另一种是通过后台任务，自动构建文档之间的link
|
||||
- 介绍如何auto-link
|
||||
- [⚠️ 部分实现] 主 agent 显式写 `[[link]]` 已经会被 parser 抓为边（`markdown_file_chunker.py:152` `_extract_links`）。但 [❌ 待补充] "后台任务自动补 link" 的实现（实体抽取 / 候选文档相似度匹配 / link 写回 markdown）尚不存在，需要单独的 step/job。
|
||||
6. 如何做memory自进化
|
||||
Auto-memory
|
||||
auto-dream
|
||||
- [❌ 待补充] reme4 没有 auto-memory / auto-dream 任何代码。需要：
|
||||
- 新增 step（如 `reme4/steps/auto_memory.py`、`reme4/steps/auto_dream.py`），基于现有 `BaseStep` + LLM component；
|
||||
- 设计触发机制（job 调度、空闲检测）；
|
||||
- 与上面的 daily/knowledge 目录约定打通。
|
||||
7. 更好的检索：
|
||||
- 渐进式展开的检索
|
||||
- [⚠️ 部分实现] `reme4/steps/common/search.py:14` `SearchStep` 已做 vector + keyword 的 RRF 融合，并支持 `expand_links` 一跳展开（outlinks/inlinks + 邻居 meta）。但 [❌ 待补充] "多跳渐进展开"、"按需要由 agent 主动展开下一层"的交互式 API 尚未实现。
|
||||
8. 结合外部的Agent工具：
|
||||
ReMe更加专注于知识加工，而不是知识获取
|
||||
- 结合qwenpaw
|
||||
- sdk集成（qwenpaw集成）
|
||||
- [❌ 待补充] 见 §3.4。
|
||||
- str + 封装AgentscopeTools
|
||||
- [❌ 待补充] 同上。
|
||||
- 集成auto-memory、auto-dream、auto-memory-search的能力
|
||||
- [❌ 待补充] 同上。
|
||||
- 结合其他的Agent框架
|
||||
- skill.md + cli方案，通用方案，支持集成到各种harness框架中
|
||||
- 可以选择agent来启动reme服务（后台）
|
||||
- [❌ 待补充] 同 §3.4。
|
||||
- skill.md + mcp-tool方案，通用方案
|
||||
- 需要手动启动mcp服务
|
||||
- [⚠️ 部分实现] MCP 服务可启动，但 skill.md 缺失。
|
||||
|
||||
## 更好的性能，更稳定和兼容
|
||||
V4更加高效的底层记忆索引
|
||||
- V3版本基于sqlite/chroma等本地数据库
|
||||
- 在qwenpaw等低版本linux & win系统存在兼容性问题，会存在core dump等问题
|
||||
- 不支持关键词检索，这里需要Keyword倒排索引，对中文的支持较差
|
||||
- [📌 历史] 描述 V3 痛点，不需要代码。
|
||||
- V4版本我们重写了file parser，file store，file graph，file watcher，手写了支持增量更新倒排索引
|
||||
- file parser → [✅ `reme4/components/file_chunker/`（base/default/chunked/linked 四种）]
|
||||
- file store → [✅ `reme4/components/file_store/local_file_store.py`]
|
||||
- file graph → [✅ `reme4/components/file_graph/`（local/nx/neo4j）]
|
||||
- file watcher → [✅ `reme4/components/file_watcher/lite_file_watcher.py` 基于 watchfiles awatch；`base_file_watcher.py` 抽象接口]
|
||||
- 增量倒排索引 → [✅ `reme4/components/keyword_index/bm25_index.py`（增量 BM25）；`reme4/components/tokenizer/`（regex / jieba 两种 tokenizer，jieba 含 stopwords 子目录）]
|
||||
- 未来可以使用rust/c++重写，高性能本地知识引擎
|
||||
- [📌 规划]
|
||||
|
||||
## 知识库应用场景（重点）
|
||||
|
||||
### 金融
|
||||
产业链
|
||||
- [❌ 待补充] 没有领域 schema / 产业链知识图谱样例，需要写 demo 数据集 + topic 配置。
|
||||
|
||||
### 自己的工作&生活
|
||||
xxxx
|
||||
- [❌ 待补充] 文档本身就是占位，需要补充具体场景描述与对应的 daily/knowledge 目录样例。
|
||||
|
||||
---
|
||||
|
||||
## 标注小结
|
||||
|
||||
### ✅ 已经在 `reme4/` 中实现的能力
|
||||
1. **组件框架**：backend 注册（`component_registry.py`）、生命周期（`base_component.py`）、依赖声明 + 拓扑启动（`application.py:80`）。
|
||||
2. **Job/Step 体系**：`components/job/base_job.py`、`components/job/stream_job.py`、`steps/base_step.py` 与 `steps/common/*`。
|
||||
3. **服务/客户端**：HTTP（`service/http_service.py` + `client/http_client.py`）、MCP（`service/mcp_service.py` + `client/mcp_client.py`），CLI 入口 `reme.py:main`。
|
||||
4. **Markdown 解析**：`file_chunker/markdown_file_chunker.py`，含 frontmatter、wikilink + Dataview 谓词、AST 树、带全标题骨架的 chunking。
|
||||
5. **Graph**：`file_graph/{local,nx,neo4j}_file_graph.py`，双向链接索引。
|
||||
6. **存储 / 索引**：`file_store/local_file_store.py` + `keyword_index/bm25_index.py`（增量 BM25）+ `tokenizer/{regex,jieba}_tokenizer.py`。
|
||||
7. **文件监听**：`file_watcher/lite_file_watcher.py`（watchfiles 轮询）。
|
||||
8. **混合检索 + 一跳展开**：`steps/common/search.py`（vector + keyword RRF 融合，可附 outlinks/inlinks）。
|
||||
9. **Embedding / LLM 适配壳**：`components/embedding/openai_embedding_model.py`、`components/as_llm/`、`components/as_llm_formatter/`、`components/as_token_counter/`。
|
||||
|
||||
### ❌ 需要额外补充的能力
|
||||
1. **记忆类型分层**：个性化 / 程序化 / 知识类的 schema 与路由。
|
||||
2. **memory-self-evolving**：auto-memory（拆事件→ daily/YYYYMMDD/{event}.md）、auto-dream（空闲整理→ knowledge/{topic}/）、对应触发器与调度。
|
||||
3. **存储目录约定**：`resource/`、`proactive/` 目录、daily 主索引协议、knowledge topic 枚举均未落地。
|
||||
4. **auto-link 后台任务**：自动从正文挖出实体并写回 wikilink。
|
||||
5. **多跳渐进展开检索 API**：当前只能一跳。
|
||||
6. **标准 Markdown `[text](url.md)` 链接**：尚未纳入 graph 边解析。
|
||||
7. **skill.md 模板**：CLI 与 MCP 两种集成方式都缺 skill 描述文件。
|
||||
8. **Agent 拉起后台 reme 服务**：缺脚本/约定。
|
||||
9. **qwenpaw / AgentScope SDK 集成**：包括 `AgentscopeTools` 包装层与 auto-memory/dream/search 暴露。
|
||||
10. **应用场景样例**：金融产业链、个人工作&生活的 demo 数据 + topic 配置。
|
||||
|
|
@ -1,211 +0,0 @@
|
|||
# reme4 代码模块索引
|
||||
|
||||
> 本文档梳理 `reme4/` 下各能力模块、核心类和代码路径，便于快速定位与扩展。
|
||||
> 所有路径相对仓库根目录 `/Users/yuli/workspace/ReMe/`。
|
||||
|
||||
## 1. 顶层入口与运行流程
|
||||
|
||||
| 文件 | 作用 |
|
||||
| --- | --- |
|
||||
| `reme4/reme.py` | CLI 入口（`main()`）：`start` 启动应用；`find_reme` 探活；其他动作转发到 client。 |
|
||||
| `reme4/application.py` | `Application` 基类：解析 config → 注册 service / components / jobs → 拓扑排序启动 → `run_job` / `run_stream_job` / `run_app`。 |
|
||||
| `reme4/constants.py` | 服务发现常量：`REME_SERVICE_INFO`、默认 host/port (`127.0.0.1:2333`)。 |
|
||||
| `reme4/__init__.py` | 包入口。 |
|
||||
|
||||
启动流程：`reme.main()` → `parse_args` → `resolve_app_config` → `precheck_start` → `ReMe(...).run_app()` → `service.run_app(app)` → `app.start()`（按拓扑序启动 components 与 jobs）。
|
||||
|
||||
## 2. 配置与枚举
|
||||
|
||||
| 文件 | 作用 |
|
||||
| --- | --- |
|
||||
| `reme4/config/default.yaml` | 默认配置：service / jobs / components 全套样例。 |
|
||||
| `reme4/config/config_parser.py` | `parse_args`、`resolve_app_config`、env 变量展开、点号配置覆盖、YAML/JSON 加载。 |
|
||||
| `reme4/enumeration/component_enum.py` | `ComponentEnum`：所有组件类型枚举（service/client/job/step/file_*/embedding/keyword_index/tokenizer/as_*）。 |
|
||||
| `reme4/enumeration/chunk_enum.py` | `ChunkEnum`：流式分块类型 (THINK/CONTENT/TOOL_*/USAGE/ERROR/DONE)。 |
|
||||
|
||||
## 3. Schema（Pydantic 数据模型）
|
||||
|
||||
代码：`reme4/schema/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `ApplicationConfig` / `ComponentConfig` / `JobConfig` | `application_config.py` | 顶层配置模型；包含 service/jobs/components/vault_dir 等字段。 |
|
||||
| `EmbNode` | `emb_node.py` | 文本+embedding 节点基类，`np.ndarray` 序列化为列表存储。 |
|
||||
| `FileChunk` | `file_chunk.py` | 文件切片（继承 `EmbNode`）：`path/start_line/end_line/scores`，含 `set_hash_id()`。 |
|
||||
| `FileNode` | `file_node.py` | 文件级图节点：`path/st_mtime/links/chunk_ids/front_matter`。 |
|
||||
| `FileLink` | `file_link.py` | 文件间 wikilink 边：`source_path → target_path`，可选 `target_anchor` / `predicate`。 |
|
||||
| `FileFrontMatter` | `file_front_matter.py` | YAML 头：`name/description`，`extra="allow"` 保留未知键。 |
|
||||
| `Request` / `Response` | `request.py` / `response.py` | 服务端请求/响应封装。 |
|
||||
| `StreamChunk` | `stream_chunk.py` | 流式分块：`chunk_type/chunk/done/metadata`。 |
|
||||
|
||||
## 4. Components（核心能力组件）
|
||||
|
||||
> 所有组件继承 `BaseComponent`（`reme4/components/base_component.py`），提供：
|
||||
> - `start/close/restart` 生命周期；
|
||||
> - `bind(name, base_cls, default_factory, optional)` 声明依赖（启动时通过拓扑排序解析）；
|
||||
> - `vault_path` / `working_metadata_path` 工作目录；
|
||||
> - `dump/load` 持久化钩子。
|
||||
>
|
||||
> 组件通过 `ComponentRegistry`（`R`，`reme4/components/component_registry.py`）按 `(ComponentEnum, name)` 注册和查找；上下文容器为 `ApplicationContext`（`application_context.py`），运行期上下文为 `RuntimeContext`（`runtime_context.py`）。
|
||||
|
||||
### 4.1 Tokenizer — `reme4/components/tokenizer/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseTokenizer` | `base_tokenizer.py` | 抽象基类，启动时加载 `stopwords` 文件。 |
|
||||
| `RegexTokenizer` (`@R "regex"`) | `regex_tokenizer.py` | 正则切词；中文按字符切分，非中文按词切分。 |
|
||||
| `JiebaTokenizer` (`@R "jieba"`) | `jieba_tokenizer.py` | 基于 jieba 的中文分词。 |
|
||||
|
||||
### 4.2 Keyword Index — `reme4/components/keyword_index/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseKeywordIndex` | `base_keyword_index.py` | 抽象基类：`add_docs/delete_docs/retrieve/clear/optimize_index`，依赖 tokenizer。 |
|
||||
| `BM25Index` (`@R "bm25"`) | `bm25_index.py` | 自实现 Okapi BM25 倒排索引：`vocab` / `inverted_index` / `doc_meta`，pickle 持久化，支持增量更新与 `optimize_index` 紧凑化。 |
|
||||
|
||||
### 4.3 Embedding — `reme4/components/embedding/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseEmbeddingModel` | `base_embedding_model.py` | LRU 缓存 + npz 磁盘持久化、批量、重试、健康检查（`is_healthy`）；提供 `get_embedding/get_embeddings/get_node_embeddings`。 |
|
||||
| `OpenAIEmbeddingModel` (`@R "openai"`) | `openai_embedding_model.py` | OpenAI 兼容协议（dashscope/qwen 等），`AsyncOpenAI` 客户端。 |
|
||||
|
||||
### 4.4 File Graph — `reme4/components/file_graph/`
|
||||
|
||||
存储 `FileNode` 节点与 `FileLink` 边，支持「虚节点」(被指但尚未导入的目标占位)。
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseFileGraph` | `base_file_graph.py` | 抽象接口：`upsert_nodes/delete_nodes/get_nodes/rebuild_links/clear/get_outlinks/get_inlinks`。 |
|
||||
| `LocalFileGraph` (`@R "local"`) | `local_file_graph.py` | 纯 dict 实现 + JSONL 持久化；维护 `_nodes`/`_inverse`/`_pending`。 |
|
||||
| `NxFileGraph` (`@R "nx"`) | `nx_file_graph.py` | networkx `MultiDiGraph` + pickle 持久化，虚节点用「无 node 属性」标识。 |
|
||||
| `Neo4jFileGraph` (`@R "neo4j"`) | `neo4j_file_graph.py` | Neo4j 后端（bolt 驱动），`(:File)-[:LINKS]->(:File)`，支持升降级虚节点、`rebuild_links` 修复重建。 |
|
||||
|
||||
### 4.5 File Chunker — `reme4/components/file_chunker/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseFileChunker` | `base_file_chunker.py` | 抽象接口：`parse(path) -> (FileNode, list[FileChunk])`，提供 `_get_relative_path`。 |
|
||||
| `DefaultFileChunker` (`@R "default"`) | `default_file_chunker.py` | 字节级带 overlap 切片 + YAML front matter + wikilink 抽取（含 Dataview `predicate::`）。 |
|
||||
| `MarkdownFileChunker` (`@R "markdown"`) | `markdown_file_chunker.py` | Markdown 专用：mistletoe AST → MdNode 树 → 章节递归分块；每个 chunk 携带完整 heading skeleton（TOC）；wikilink 解析支持隐式 `.md`、folder-note、短路径歧义扇出，需注入 `file_graph` 解析目标。 |
|
||||
|
||||
### 4.6 File Store — `reme4/components/file_store/`
|
||||
|
||||
聚合 `embedding_model` + `keyword_index` + `file_graph`，统一 chunk 写入与混合检索。
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseFileStore` | `base_file_store.py` | 抽象基类：`upsert_file/delete_by_path/clear/vector_search/keyword_search/rebuild_links/get_nodes/get_outlinks/get_inlinks`；启动时探活 embedding，失败则降级为纯关键字检索。 |
|
||||
| `LocalFileStore` (`@R "local"`) | `local_file_store.py` | 内存 chunk 字典 + JSONL 持久化；upsert 时复用旧 chunk 的 embedding（按 chunk.id 命中）；`vector_search` 用 `batch_cosine_similarity`，`keyword_search` 委托给 keyword_index。 |
|
||||
|
||||
### 4.7 File Watcher — `reme4/components/file_watcher/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseFileWatcher` | `base_file_watcher.py` | 抽象接口：`watch_loop/update_store/on_added/on_modified/on_deleted`；启动后台任务先做一次全量同步再进入监听循环。 |
|
||||
| `LiteFileWatcher` (`@R "lite"`) | `lite_file_watcher.py` | 基于 `watchfiles.awatch` 的轮询监听；变更分类后调用 file_chunker 解析、写 file_store；`update_store` 通过 mtime 对比做增量。 |
|
||||
|
||||
### 4.8 Job — `reme4/components/job/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseJob` (`@R "base"`) | `base_job.py` | 顺序执行 `steps`：每个 step 共享 `RuntimeContext`，最终返回 `Response`；启动时把 step config 实例化为 `BaseStep`。 |
|
||||
| `StreamJob` (`@R "stream"`) | `stream_job.py` | 流式执行：异常包装为 ERROR chunk，结束时 emit DONE 终止流。 |
|
||||
|
||||
### 4.9 Service — `reme4/components/service/`
|
||||
|
||||
把 jobs 暴露给外部协议。
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseService` | `base_service.py` | 抽象接口：`build_service/add_job/start_service`，`run_app` 串起来。 |
|
||||
| `HttpService` (`@R "http"`) | `http_service.py` | FastAPI + uvicorn；普通 job → POST JSON 端点，stream job → SSE 流；CORS 全开。 |
|
||||
| `MCPService` (`@R "mcp"`) | `mcp_service.py` | FastMCP；把 job 注册为 MCP `FunctionTool`（StreamJob 跳过）；transport 支持 sse/stdio/streamable-http。 |
|
||||
|
||||
### 4.10 Client — `reme4/components/client/`
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseClient` | `base_client.py` | 抽象接口：`__call__` 分发 `list`/`_execute`，`list_actions` 列出 server 能力。 |
|
||||
| `HttpClient` (`@R "http"`) | `http_client.py` | httpx 异步流式：根据 `Content-Type` 自适应 JSON/SSE；`/openapi.json` 列出 actions；CLI 友好格式化。 |
|
||||
| `MCPClient` (`@R "mcp"`) | `mcp_client.py` | fastmcp Client 包装；transport=`sse/stdio/streamable-http`；`list_tools` 列出工具。 |
|
||||
|
||||
### 4.11 AgentScope 适配（as_*） — `reme4/components/as_*/`
|
||||
|
||||
把 AgentScope 的 LLM / Formatter / TokenCounter 包成 ReMe 组件，供 step 通过 `step.as_llm` / `step.as_llm_formatter` / `step.as_token_counter` 访问。
|
||||
|
||||
| 类 | 文件 | 说明 |
|
||||
| --- | --- | --- |
|
||||
| `BaseAsLLM` / `OpenAIAsLLM` (`openai`) / `AnthropicAsLLM` (`anthropic`) | `as_llm/__init__.py` | 包装 `agentscope.model.OpenAIChatModel / AnthropicChatModel`，启动时实例化 `self.model`。 |
|
||||
| `BaseAsLLMFormatter` / `AsOpenAIChatFormatter` (`openai`) / `AsAnthropicChatFormatter` (`anthropic`) | `as_llm_formatter/__init__.py` | 包装 AgentScope formatter；OpenAI 版用 `ReMeOpenAIChatFormatter` 扩展 |
|
||||
| `ReMeOpenAIChatFormatter` | `as_llm_formatter/reme_openai_chat_formatter.py` | OpenAI formatter 扩展：tool_result 中的 image 提升为 user 消息；thinking 块合并为 `reasoning_content`；新增 video block 支持。 |
|
||||
| `BaseAsTokenCounter` / `EstimatedAsTokenCounter` (`estimated`) | `as_token_counter/__init__.py` | 字符级估算 token 计数器（`encoded_byte_len / divisor`）。 |
|
||||
| `EstimatedTokenCounter` | `as_token_counter/estimate_token_counter.py` | 实现类。 |
|
||||
|
||||
### 4.12 Prompt Handler — `reme4/components/prompt_handler.py`
|
||||
|
||||
`PromptHandler`：YAML/JSON 加载或类同名文件加载；多语言后缀（`key_zh/key_en`）；`prompt_format` 支持 `[flag]` 行级条件、`{var}` 参数校验。
|
||||
|
||||
## 5. Steps（最小执行单元）
|
||||
|
||||
代码：`reme4/steps/`
|
||||
|
||||
| 类 | 注册名 | 文件 | 作用 |
|
||||
| --- | --- | --- | --- |
|
||||
| `BaseStep` | — | `base_step.py` | 抽象基类：`execute()` + `RuntimeContext` 注入 + `input/output_mapping` + 通过 `_resolve` 自动取组件（`as_llm/as_llm_formatter/as_token_counter/file_chunker/file_store/embedding/file_watcher`）；`add_as_tool(toolkit, job_name)` 把 job 包成 AgentScope tool。 |
|
||||
| `DemoEchoStep1/2` | `demo_echo_step1` / `demo_echo_step2` | `common/demo.py` | 烟雾测试：query 处理 + 应答。 |
|
||||
| `HealthCheckStep` | `health_check_step` | `common/health_check.py` | 各组件健康/规模快照（embedding/file_graph/file_store/file_watcher/keyword_index）+ 内存深度估算。 |
|
||||
| `HelpStep` | `help_step` | `common/help.py` | 一行式列出全部 job 元信息（含参数 schema）。 |
|
||||
| `ReindexStep` | `reindex_step` | `common/reindex.py` | 全量重建：停 watcher → clear store → `update_store` → 重启 watcher。 |
|
||||
| `SearchStep` | `search_step` | `common/search.py` | 混合检索：vector_search + keyword_search 并发 → RRF 融合 → 阈值过滤 → 截断 → 可选 outlinks/inlinks 邻居展开（含元数据）。 |
|
||||
| `StreamDemoStep1/2` | `stream_demo_step1` / `stream_demo_step2` | `common/stream_demo.py` | 流式烟雾测试：逐字符 emit CONTENT。 |
|
||||
| `VersionStep` | `version_step` | `common/version.py` | 输出 `reme4.__version__`。 |
|
||||
|
||||
## 6. Utils — `reme4/utils/`
|
||||
|
||||
| 文件 | 主要导出 |
|
||||
| --- | --- |
|
||||
| `common_utils.py` | `hash_text`(SHA-256)、`execute_stream_task`(SSE 流转发)、`mock_reme_server`(子进程启动测试服务器)、`call_action` / `call_and_check`(HTTP 调用与断言)。 |
|
||||
| `service_utils.py` | `find_reme` / `locate_reme` / `precheck_start` / `cli_find_reme`：服务发现，`lsof` + `pgrep` 扫描运行实例，端口冲突预检。 |
|
||||
| `env_utils.py` | `load_env`：加载 `.env`。 |
|
||||
| `logger_utils.py` | `get_logger`：loguru 日志（控制台 + 文件）。 |
|
||||
| `logo_utils.py` | `print_logo`：启动 ASCII logo。 |
|
||||
| `similarity_utils.py` | `cosine_similarity` / `batch_cosine_similarity`：numpy 向量相似度。 |
|
||||
|
||||
## 7. 内置 Jobs（`reme4/config/default.yaml`）
|
||||
|
||||
| Job | Backend | 步骤 | 说明 |
|
||||
| --- | --- | --- | --- |
|
||||
| `demo` | `base` | `demo_echo_step1` → `demo_echo_step2` | 端到端 demo。 |
|
||||
| `version` | `base` | `version_step` | 返回包版本。 |
|
||||
| `health_check` | `base` | `health_check_step` | 组件健康快照。 |
|
||||
| `help` | `base` | `help_step` | 列出全部 job。 |
|
||||
| `reindex` | `base` | `reindex_step` | 全量重建索引。 |
|
||||
| `search` | `base` | `search_step` | 混合检索（vector+keyword RRF，可展开邻居）。 |
|
||||
| `stream_demo` | `stream` | `stream_demo_step1` → `stream_demo_step2` | 流式 demo。 |
|
||||
|
||||
## 8. 默认依赖关系（来自 `default.yaml`）
|
||||
|
||||
```
|
||||
tokenizer (regex) ──┐
|
||||
embedding_model (openai) ──┤── file_store (local) ── file_watcher (lite)
|
||||
file_graph (local) ──┤ (持有 embedding/keyword_index/file_graph)
|
||||
file_chunker (default) ──┘ │
|
||||
keyword_index (bm25) ── tokenizer ──────────────┘ │
|
||||
file_chunker ──┘
|
||||
```
|
||||
|
||||
启动时由 `Application._topological_order()`（Kahn 算法）按依赖拓扑序启动；关闭时反向。
|
||||
|
||||
## 9. 扩展点速查
|
||||
|
||||
| 需求 | 入口 |
|
||||
| --- | --- |
|
||||
| 新增检索后端 | 实现 `BaseFileStore` 子类，`@R.register("xxx")` |
|
||||
| 新增图后端 | 实现 `BaseFileGraph` 子类（参考 `Neo4jFileGraph` 处理虚节点） |
|
||||
| 新增分词器 | 实现 `BaseTokenizer.tokenize` |
|
||||
| 新增解析器 | 实现 `BaseFileChunker.parse`（返回 `(FileNode, list[FileChunk])`） |
|
||||
| 新增 Job | 在 `default.yaml`（或自定义 yaml）`jobs:` 段声明 + 写步骤实现 |
|
||||
| 新增 Step | 继承 `BaseStep`，实现 `execute()` 并 `@R.register("xxx_step")` |
|
||||
| 暴露新协议 | 实现 `BaseService`（参考 `HttpService` / `MCPService`） |
|
||||
| 接入新 LLM | 实现 `BaseAsLLM` 子类（`agentscope.model` 适配） |
|
||||
|
|
@ -1,971 +0,0 @@
|
|||
# ReMe：把本地 Markdown 自进化成知识图谱的个人记忆引擎
|
||||
|
||||
> 面向 Leader / 决策者的能力报告
|
||||
> 关键词：个人记忆 · 记忆自进化 · 多模检索 · Agent 接入 · 本地优先
|
||||
|
||||
---
|
||||
|
||||
## 一、引言：为什么要做新版本
|
||||
|
||||
### 1.1 ReMe 的一句话定位
|
||||
|
||||
> **ReMe 是一个把本地 Markdown 自进化成知识图谱的个人记忆引擎。**
|
||||
|
||||
- **记忆分层（形态的物化）** → 记忆按"原始 → 加工"两层组织：`resource/`（原始素材）、`daily/`（日记事件）是只增不删的流水帐；`digest/` 是加工层，下分 `personal/`（个性化）、`knowledge/`（主题知识）、`procedural/`（Agent 任务经验）、`proactive/`（主动洞察）四个固定子目录，写入策略和检索权重各有差异。
|
||||
- **本地 Markdown（载体）** → 所有记忆都是 Obsidian 兼容的 .md 文件——YAML front matter、四种 wikilink（`[[X]]` / `[[X#anchor]]` / `[[X|alias]]` / `![[X]]`）、Dataview 风格 `predicate:: [[X]]` 语义关系全部沿用社区约定。用户可读、可备份、可迁移，对抗黑盒。
|
||||
- **自进化（机制）** → 不需要用户手工整理，Agent 在后台让笔记自己长出结构。这一点把 ReMe 同时与"手动建图的 Obsidian"和"扁平存储的 Mem0"拉开。【event/trace】
|
||||
- **知识图谱（结果）** → 自进化的产出物不是一堆扁平笔记，而是一张可被**多模 + 渐进式检索**消费的图：向量 + 关键词（中文 BM25）+ 图谱三路 RRF 融合，返回时通过 1-hop 邻居 meta 让 Agent"先看目录、再决定要不要展开正文"，不像传统 RAG 那样一次性把 top-K 切片塞进上下文。
|
||||
- **被集成而非内置（分发形态）** → ReMe 不做独立 Agent 产品，而是作为**能力**被任意 Harness 调用：SDK 深度集成（qwenpaw / AgentScope）、MCP Tool（Claude Code / Cursor / Cherry Studio）、CLI + skill.md 三条路径并行，记忆跟着用户走，不绑定任何上层框架。
|
||||
|
||||
支撑这一切的是**自研轻量索引内核**——纯 Python(后期可以使用rust重写索引内核) + 文件持久化，无 sqlite / chroma
|
||||
等原生扩展依赖，老旧 Linux/Win 也能稳跑，这是 ReMe 能"被部署到大量异构用户机器"的工程前提。
|
||||
|
||||
---
|
||||
|
||||
## 二、产品全景图
|
||||
|
||||
### 2.1 一张图看 ReMe
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────┐
|
||||
│ 外部 Agent / Harness │
|
||||
│ qwenpaw · Claude Code · Cursor · 其它 │
|
||||
└──────────┬──────────────┬───────────────┬───────────────┘
|
||||
│ SDK │ MCP Tool │ CLI / skill.md
|
||||
┌──────────▼──────────────▼───────────────▼───────────────┐
|
||||
│ ReMe Service Layer │
|
||||
│ HTTP / MCP / CLI · 服务发现 · 进程托管 │
|
||||
├─────────────────────────────────────────────────────────┤
|
||||
│ ReMe Job/Step 编排 │
|
||||
│ search · auto_memory · auto_dream · auto_link … │
|
||||
├─────────────────────────────────────────────────────────┤
|
||||
│ Markdown 知识内核（本地文件即数据库） │
|
||||
│ FileChunker · FileStore · FileGraph · FileWatcher │
|
||||
│ BM25 倒排 · 向量索引 · Wiki Link 图谱 │
|
||||
├─────────────────────────────────────────────────────────┤
|
||||
│ 文件目录约定 │
|
||||
│ resource/ · daily/ · digest/{personal,knowledge, │
|
||||
│ procedural,proactive}/ │
|
||||
└─────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
四层结构从上到下：
|
||||
|
||||
- **接入层**：让任何 Agent 框架都能用。
|
||||
- **服务层**：HTTP / MCP / CLI 三种协议同时暴露，按 Harness 需求选用。
|
||||
- **编排层**：把能力拆成 Job/Step，可组合、可流式。
|
||||
- **内核层**：Markdown 解析、存储、图谱、监听一体化。
|
||||
- **目录层**：用户最直观看到的文件夹结构，本身就是 ReMe 的"产品形态"。
|
||||
|
||||
### 2.2 三个最直观的故事场景
|
||||
|
||||
**场景一：金融分析师的产业链知识库**
|
||||
盘后，分析师和 Agent 对话讨论今天看到的几条新能源新闻。第二天打开知识库，发现昨天的对话已经被自动拆分成「钴价波动」「下游电池厂动向」「上游矿企并购」三条事件笔记，分别归档到
|
||||
`digest/knowledge/financial/产业链/` 下相应主题；笔记之间通过 `[[钴]]` `[[宁德时代]]` 这样的 wikilink 互相串联。下周再问"钴的下游应用"，ReMe
|
||||
沿着图谱渐进展开，从一个节点跳到相关的全部上下文。
|
||||
|
||||
**场景二：个人工作 & 生活第二大脑**
|
||||
日常对话、会议讨论、学习笔记都被主 Agent 实时写入 daily 笔记。夜晚 Agent 空闲时，ReMe 在后台把零散的 daily 内容按"
|
||||
客户/项目/学习/生活"主题重新整理到 knowledge 库，并自动补全笔记之间的链接。三个月后，用户拥有一份完全属于自己的、可视化的"
|
||||
第二大脑"，可以用 Obsidian 直接打开浏览。
|
||||
|
||||
**场景三：Agent 框架开箱接入**
|
||||
开发者在 qwenpaw 或 Claude Code 中安装 ReMe，不需要改 Agent 一行代码 —— Agent 立刻拥有"长期记忆 + 个人知识检索 +
|
||||
自动整理"三项能力。SDK 集成是无感的：每次对话自动落入 daily，每次检索自动走多模融合，每天空闲自动整理归档。
|
||||
|
||||
---
|
||||
|
||||
## 三、记忆模型：ReMe 把什么存下来
|
||||
|
||||
### 3.1 两层记忆结构：原始素材 + 加工记忆
|
||||
|
||||
ReMe 不把对话一股脑塞进数据库，而是按"原始 → 加工"分两层组织：
|
||||
|
||||
| 层次 | 目录 | 存什么 | 典型场景 |
|
||||
|----------|-------------|----------------------------------|-------------------------------|
|
||||
| **原始素材** | `resource/` | 上传文件、抓取网页、PDF 研报、邮件附件 | 溯源 / 审计 / 二次加工 |
|
||||
| **日记流水** | `daily/` | 每天的事件性记忆，主 Agent 实时写入 | "我今天和谁聊了什么"、"今天工作内容" |
|
||||
| **加工记忆** | `digest/` | 经 Auto-Dream 整理后的长期记忆，下分四类（见 3.2） | "光伏产业链"、"webpack 排查路径"、"早间洞察" |
|
||||
|
||||
`resource/` 和 `daily/` 是只增不删的"流水帐"——前者保留原始事实、后者保留事件级现场；`digest/` 才是被反复消费的精华层，也是 Auto-Dream / Auto-Link 持续打磨的主要产物。
|
||||
|
||||
### 3.2 digest 下的四种记忆
|
||||
|
||||
`digest/` 固定划分四个子目录，正交覆盖"用户 / 知识 / Agent / 主动"四个维度：
|
||||
|
||||
| 子目录 | 内容性质 | 写入触发 | 检索权重 | 典型例子 |
|
||||
|------------------------|---------------------|----------------------|-------------|---------------------------------------|
|
||||
| **digest/personal/** | 个性化（用户偏好、习惯、人物档案） | 用户纠正 / 偏好表达 | 全场景常驻 | "用户不爱写注释"、"用户喜欢 pnpm" |
|
||||
| **digest/knowledge/** | 知识类（客观知识、领域参考） | 主题对话 / Auto-Dream 归档 | 主题相关性匹配 | "光伏产业链"、"React Server Components" |
|
||||
| **digest/procedural/** | 程序化（Agent 任务经验） | 任务完成后归纳 | 任务相似度高时唤起 | "webpack 卡死的排查路径" |
|
||||
| **digest/proactive/** | 主动推送（Agent 输出的分析） | 定时 / 触发式生成 | 时效衰减 | 早间洞察、周复盘、热点跟踪 |
|
||||
|
||||
四类的"形状"刻意不同：
|
||||
|
||||
- `digest/knowledge/` 由用户自定义二级分类（如 `work/`、`financial/`、`life/`），下面层级随意展开。
|
||||
- `digest/personal/`、`digest/proactive/` 保持扁平，便于全量加载或时序浏览。
|
||||
- `digest/procedural/` 软链到 Harness Agent 的 skill 目录（P0），让 Agent 沉淀的"经验"直接成为可复用的 skill。
|
||||
|
||||
### 3.3 目录约定（用户可读、可备份、可迁移）
|
||||
|
||||
skills 建议使用index 看 whole picture~
|
||||
|
||||
```
|
||||
~/reme_workspace/
|
||||
├── resource/ # 原始素材（按日期归档）
|
||||
│ └── 20260518/
|
||||
│ ├── 1430_xueqiu_comment.html # 雪球评论抓取
|
||||
│ └── 1620_research_report.pdf # 研报原件
|
||||
├── daily/
|
||||
│ ├── 20260518.md # 当天主索引（兼容 write/edit）
|
||||
│ └── 20260518/
|
||||
│ ├── meeting-with-alice.md
|
||||
│ ├── debug-login.md
|
||||
│ └── reading-paper.md
|
||||
└── digest/ # 固定四个子目录：personal / knowledge / procedural / proactive
|
||||
├── personal/ # 个性化记忆：偏好、习惯、个人事件
|
||||
.change_log.md difference
|
||||
_moc.md
|
||||
│ └── 用户偏好.md
|
||||
├── knowledge/ # 知识类记忆：用户自定义二级目录（work / financial / ...）
|
||||
│ ├── work/
|
||||
│ ├── financial/
|
||||
│ │ ├── 光伏产业链.md
|
||||
│ │ └── 钴.md
|
||||
│ └── ...
|
||||
├── procedural/ # 程序化记忆：软链到 harness agent 的 skill 目录（P0）
|
||||
│ └── xxxx.md # Agent 完成任务沉淀的经验
|
||||
└── proactive/ # 主动推送：各家协议不同
|
||||
└── 20260518.md # Agent 主动产出的建议
|
||||
```
|
||||
|
||||
> `digest/` 下固定为 **personal / knowledge / procedural / proactive** 四个子目录；其中 `knowledge/` 内部由用户自行扩展二级分类（如 `work/`、`financial/`），其余三类保持扁平结构。
|
||||
|
||||
**所有记忆都是普通 Markdown 文件**，用户随时可以：
|
||||
|
||||
- 用 Obsidian / Typora / VSCode 打开浏览编辑
|
||||
- 用 Git / iCloud / 网盘做版本控制和跨设备同步
|
||||
- 迁移到任何机器，复制目录即可
|
||||
- **没有黑盒数据库，没有产品锁定**
|
||||
|
||||
这一点对 Leader 视角尤其重要：用户对自己数据的掌控感，是所有"个人记忆"产品的信任基础。
|
||||
|
||||
## 四、Markdown 内核：把文件当数据库
|
||||
|
||||
### 4.1 Obsidian 兼容的 Markdown 格式
|
||||
|
||||
ReMe 没有发明新格式，而是完全复用 Obsidian 生态的约定：
|
||||
|
||||
- **YAML front matter**：标题、标签、描述、自定义字段。
|
||||
|
||||
```markdown
|
||||
---
|
||||
title: 光伏产业链研究
|
||||
description: 从硅料到组件的全链条梳理
|
||||
tags: [新能源, 光伏, 产业链]
|
||||
parent: 新能源
|
||||
author: 张三
|
||||
updated。: 2026-05-19
|
||||
---
|
||||
|
||||
# 正文从这里开始
|
||||
|
||||
`title` / `description` / `tags` 是约定字段（参见 `reme4/schema/file_front_matter.py`），其余键值对作为 extras
|
||||
全部保留，可被检索和图索引消费。
|
||||
```
|
||||
|
||||
- **4 种 wikilink 写法**：
|
||||
- `[[X]]`：标准链接
|
||||
- `[[X#anchor]]`：链接到文件中的章节
|
||||
- `[[X|alias]]`：自定义显示文本
|
||||
- `![[X]]`：嵌入引用
|
||||
- **Dataview 风格语义关系**：`predicate:: [[X]]`，例如 `parent:: [[新能源]]`、`founder:: [[张三]]`，把 link 升级为带类型的"
|
||||
边"。
|
||||
- 标准 `[text](xxx.md)` 链接也会被识别为图边。
|
||||
|
||||
**意义**：用户的知识库可以直接用 Obsidian 打开做可视化浏览，可以用 Obsidian 插件做扩展。ReMe 不是替代 Obsidian，而是**给
|
||||
Obsidian 加上一个会自己写笔记的 Agent**
|
||||
|
||||
### 4.2 比 RAG 更聪明的切片
|
||||
|
||||
传统 RAG 用固定 token 长度 + overlap 切片，经常切坏文档结构。ReMe 用 Markdown AST 切片：
|
||||
|
||||
- 解析为章节嵌套树（按 H1/H2/H3 分层）。
|
||||
- 按章节边界递归切分，保留语义完整性。
|
||||
- **每个 chunk 自带完整的标题骨架（TOC）**：检索回来的片段一眼就能看出"这段在哪个章节、什么主题下"。
|
||||
|
||||
```
|
||||
某 chunk 实际内容长这样：
|
||||
─────────────────────
|
||||
# 光伏产业链
|
||||
## 上游：硅料
|
||||
### 多晶硅工艺
|
||||
[chunk 正文]
|
||||
## 中游：硅片
|
||||
## 下游：组件
|
||||
─────────────────────
|
||||
```````
|
||||
|
||||
Agent 拿到这个 chunk，立刻知道层级位置，不会断章取义。
|
||||
|
||||
### 4.3 Graph 索引：双向链接
|
||||
|
||||
定位句里"自进化成**知识图谱**"的物理形态，就落在这一节——每个文件参与两套索引：
|
||||
|
||||
- **正向（outlinks）**：A → B（A 引用了 B）
|
||||
- **反向（inlinks）**：B ← {A, C, D}（谁引用了 B）
|
||||
|
||||
**反向链接**是知识库可用性的关键 —— 让你站在任意一个概念上，看到"还有哪些地方提到过我"。
|
||||
|
||||
ReMe 提供三种 graph backend，按规模和需求切换：
|
||||
|
||||
- **本地 dict + JSONL**：轻量、零依赖、适合个人规模。
|
||||
- **NetworkX + pickle**：方便做图算法分析。
|
||||
- **Neo4j**：企业规模、Cypher 查询、可视化丰富。
|
||||
|
||||
切换只需配置一行。
|
||||
|
||||
|
||||
## 五、记忆的自进化（核心差异化）
|
||||
|
||||
> 这是 ReMe 最重要的能力，也是和市面所有「记忆即数据库」产品的根本分野。
|
||||
>
|
||||
> **ReMe 的记忆不是被动存的，是主动长成知识图谱的。**
|
||||
|
||||
定位句中"自进化成知识图谱"的具体路径，由下面三件套共同承担：**auto-memory** 在前线把对话拆成事件，**auto-dream**
|
||||
在空闲时把事件归档成主题，**auto-link** 把这一切用 wikilink 串成图。三者协作，daily 流水最终被织成一张越用越密的个人知识图谱。
|
||||
|
||||
### 5.1 Auto-Memory：实时拆事件
|
||||
|
||||
主对话进行时，ReMe 在后台把上下文按"事件"自动拆分：
|
||||
|
||||
- 用户和 Agent 的连续对话，被识别为若干个独立事件（一次会议、一次 debug、一次学习）。
|
||||
- 每个事件成为一个独立的 `daily/YYYYMMDD/{event}.md` 笔记。
|
||||
- 同时在 `daily/YYYYMMDD.md` 维护主索引，所有事件可被反向追溯。
|
||||
|
||||
**用户体验**
|
||||
：不需要手动整理。打开当天主索引，事件已经分章节列好，每条都能跳转到独立笔记。这就像有一个秘书在你说话的同时帮你做"
|
||||
会议纪要的分章节"。
|
||||
|
||||
### 5.2 Auto-Dream：空闲整理
|
||||
|
||||
借鉴人在睡眠中"记忆巩固"的机制：
|
||||
|
||||
- Agent 检测到空闲（夜晚、用户离开、长时间无交互）时触发。
|
||||
- 把若干天的 daily 笔记按主题、实体重新组织到 `digest/knowledge/{domain}/` 下；同时把对话里反复出现的偏好沉淀到 `digest/personal/`，把 Agent 完成任务的经验固化到 `digest/procedural/`。
|
||||
- 抽取共性、合并重复、生成总结。
|
||||
|
||||
**用户体验**：第二天打开 `digest/`，会发现昨天散落在不同对话里的内容已经按"客户/项目/学习"自动归档到 `digest/knowledge/`，关键概念被抽成独立的主题笔记。
|
||||
|
||||
这是 ReMe 区别于"对话历史搜索"的关键 —— **它会自己整理**。
|
||||
|
||||
### 5.3 Auto-Link：自动建图
|
||||
|
||||
后台任务自动从正文里识别实体、候选链接，把隐式关系写回 wikilink：
|
||||
|
||||
- 在「光伏产业链」笔记里提到「隆基」，ReMe 自动补 `[[隆基]]` 链接到对应主题笔记。
|
||||
- 在 daily 事件里提到「Alice」，自动链到 `[[Alice]]` 个人档案。
|
||||
- 生成的 link 是可见的、可编辑的（写在 Markdown 文件里），用户随时可以修正。
|
||||
|
||||
**用户体验**：知识库随时间自然"越长越密"。浏览时可以从任意一处跳转到相关全部上下文，类似于在自己的脑子里"联想"。
|
||||
|
||||
### 5.4 三者协同：从对话到知识图谱的自然演化
|
||||
|
||||
```
|
||||
[实时] [离线] [持续]
|
||||
原始对话 ─Auto-Memory─► daily 事件 ─Auto-Dream─► digest/{personal,knowledge,procedural}
|
||||
│
|
||||
Auto-Link
|
||||
│
|
||||
▼
|
||||
知识图谱
|
||||
```
|
||||
|
||||
整个过程**不需要用户操心**。用户只需要正常和 Agent
|
||||
对话，三个月后回头看，就有了一张按主题组织、互相关联、可视化浏览的个人知识图谱——这就是一句话定位里"自进化成知识图谱"的物理产物。
|
||||
|
||||
|
||||
## 六、检索体验：多模检索 + 渐进式展开
|
||||
|
||||
### 6.1 三路融合的混合检索
|
||||
|
||||
ReMe 同时跑三种检索通路，结果通过 RRF（Reciprocal Rank Fusion）排序融合：
|
||||
|
||||
- **向量检索** —— 捕捉语义相似度（"钴" ≈ "锂电正极原料"）
|
||||
- **关键词检索（BM25）** —— 精确匹配，对中文友好（"宁德时代" 一定要命中）
|
||||
- **图谱检索** —— 通过 wikilink 邻居展开（找到"钴" → 自动带上"刚果(金)"、"嘉能可"）
|
||||
|
||||
单一通路都有盲区：
|
||||
|
||||
- 纯向量 → 名词术语容易错配。
|
||||
- 纯关键词 → 同义改写抓不到。
|
||||
- 纯图谱 → 起点选错就全盘错。
|
||||
|
||||
三路融合让检索像"三个人各自查一遍再开会确认"，结果鲁棒得多。
|
||||
|
||||
### 6.2 渐进式展开
|
||||
|
||||
传统 RAG 是一次性把 top-K 切片塞进上下文，token 利用率低，而且经常带进不相关的噪音。ReMe 的检索（
|
||||
`reme4/steps/common/search.py`）是**分跳**的，且每一跳的"信息密度"刻意不同：
|
||||
|
||||
- **第一跳：直接命中的切片**——返回 chunk 全文 + 章节骨架。
|
||||
- **第二跳：1-hop 邻居**——只返回邻居的 path + meta（name/description）+ 边的语义（predicate/anchor），**不展开正文**。
|
||||
- **第 N 跳：Agent 主动追问**——基于二跳的"目录"，挑出真正相关的邻居，再发起新一次 search 拿正文。
|
||||
|
||||
**一个具体例子：分析师查询"钴的下游应用"**
|
||||
|
||||
第一跳直接命中 `digest/knowledge/financial/产业链/钴.md` 的某一段切片，answer 里这一段长这样：
|
||||
|
||||
```
|
||||
========== digest/knowledge/financial/产业链/钴.md:42-78 [score=0.0234 vector=0.0123 keyword=0.0111] ==========
|
||||
# 钴
|
||||
## 应用
|
||||
钴是锂电正极材料的关键原料，主要用于动力电池、消费电子和储能……
|
||||
|
||||
→ outlinks (3):
|
||||
→ digest/knowledge/financial/矿产/刚果(金).md name="刚果(金) - 钴矿主产区"
|
||||
via predicate=producer, anchor=#钴矿带
|
||||
→ digest/knowledge/financial/公司/嘉能可.md name="嘉能可 Glencore"
|
||||
via plain
|
||||
→ digest/knowledge/financial/产品/三元正极.md name="三元正极材料"
|
||||
via predicate=downstream
|
||||
← inlinks (2):
|
||||
← digest/knowledge/financial/产业链/锂电产业链.md name="锂电产业链总览"
|
||||
via predicate=upstream
|
||||
← daily/20260318/宁德调研纪要.md name="宁德时代调研纪要"
|
||||
via plain
|
||||
```
|
||||
|
||||
注意第二跳的信息只有"路径 + 名称 + 边的 predicate/anchor"，**没有邻居正文**。这是关键设计：
|
||||
|
||||
- 一次检索就让 Agent 看到"这个主题周围长什么样"——上游是刚果(金)、嘉能可，下游是三元正极，被锂电产业链当作 upstream 引用，最近还在
|
||||
3 月 18 日的宁德调研里被提到。
|
||||
- Agent 可以基于这份"目录"判断哪个邻居才是用户真正想要的，再调一次 search 拉对应文件的正文（比如挑 `三元正极.md` 的细节）。
|
||||
|
||||
**为什么不一次把邻居正文也带回来**
|
||||
|
||||
如果第二跳直接返回正文，三跳网络很容易把上下文撑爆。当前实现里 `max_links_per_direction` 默认 10，单跳最多吐出 10 个
|
||||
outlink + 10 个 inlink 的 meta，每条只占一行，**整张二跳目录的成本不到一个 chunk 的 token**。
|
||||
|
||||
**工程层面的关键参数**
|
||||
|
||||
- `candidate_multiplier=3.0`：候选池预拉 `limit*3` 条（最多 200），给 RRF 融合留余量。
|
||||
- `min_score`：过低分切片直接丢弃，避免噪音。
|
||||
- `expand_links=True`：开关二跳展开；关闭则退化为传统 RAG。
|
||||
- `max_links_per_direction=10`：单方向（出/入）最多展示几个邻居，防爆。
|
||||
|
||||
**用户体验**：检索像"翻知识网络"——先看一眼周边目录，再决定要不要深入某一条线，而不是"拉一坨切片塞进上下文"。
|
||||
**工程价值**：上下文窗口永远只装最相关的部分，token 成本可控；Agent 也能更精确地解释"我为什么知道这个"——因为它能引用
|
||||
predicate=upstream、anchor=#应用 这种带语义的边。
|
||||
|
||||
### 6.3 关键词索引的工程价值
|
||||
|
||||
很多人忽视：**做中文知识库，关键词检索比向量更重要**。
|
||||
|
||||
ReMe 自研增量 BM25 倒排索引，配合 jieba 中文分词：
|
||||
|
||||
- 增量更新：新增/删除文件无需重建全索引。
|
||||
- 跨平台：纯 Python + 文件落盘，没有 sqlite/chroma 这类原生扩展。
|
||||
- 这一点直接解决了老版本在 qwenpaw 等老旧 Linux/Win 系统上的 core dump 兼容问题。
|
||||
|
||||
---
|
||||
|
||||
## 七、工程架构：可扩展、可替换、可演进
|
||||
|
||||
### 7.1 Component 框架
|
||||
|
||||
ReMe 把所有能力封装为 Component：
|
||||
|
||||
```
|
||||
embedding · file_store · file_graph · file_chunker · file_watcher
|
||||
tokenizer · keyword_index · LLM 适配 · service · client
|
||||
```
|
||||
|
||||
每个 Component 都可以：
|
||||
|
||||
- **Backend 热切换**：`local` ↔ `nx` ↔ `neo4j` 一行配置改完。
|
||||
- **生命周期托管**：start / close / restart 全自动，幂等保护。
|
||||
- **依赖声明**：组件间相互调用，按依赖图拓扑排序自动启动。
|
||||
- **持久化钩子**：dump/load 标准接口。
|
||||
|
||||
这意味着 ReMe 有非常强的**可演进性** —— 当某个 backend 不够用了（比如个人 Neo4j 改用云上 Neo4j），换的成本极低。
|
||||
|
||||
### 7.2 Job / Step 编排（借鉴 GitHub Actions）
|
||||
|
||||
- **Step**：最小执行单元，做一件具体的事（如检索、解析、调 LLM）。
|
||||
- **Job**：steps 的有序组合，可复用、可流式。
|
||||
- **对外**：每个 Job 同时暴露为 HTTP API / MCP Tool / CLI 命令，无需重复开发。
|
||||
|
||||
新增一个能力的标准动作是：
|
||||
|
||||
1. 写一个 Step（继承 BaseStep，实现 execute）。
|
||||
2. 在配置里把它组合进 Job。
|
||||
3. 自动获得 HTTP / MCP / CLI 三种调用方式。
|
||||
|
||||
### 7.3 配置即应用
|
||||
|
||||
一份 `default.yaml` 描述完整应用：service / components / jobs。
|
||||
|
||||
```yaml
|
||||
service:
|
||||
backend: http
|
||||
components:
|
||||
file_store:
|
||||
backend: local
|
||||
file_graph:
|
||||
backend: local
|
||||
jobs:
|
||||
search:
|
||||
steps:
|
||||
- search_step
|
||||
```
|
||||
|
||||
替换 backend、增删 Job、调整依赖，全部通过配置完成，部署上线无需改代码。
|
||||
|
||||
---
|
||||
|
||||
## 八、生态接入：ReMe 如何被使用
|
||||
|
||||
### 8.1 三种集成路径
|
||||
|
||||
| 路径 | 适用对象 | 体验 |
|
||||
|-------------------------|-----------------------------------------------------|--------------------------------------------------------------------|
|
||||
| **SDK 集成** | qwenpaw / AgentScope 等深度合作框架 | 直接调用 `AgentscopeTools`，无感拥有 auto-memory / auto-dream / auto-search |
|
||||
| **MCP Tool + skill.md** | 任何支持 MCP 的客户端（Claude Code / Cursor / Cherry Studio） | 配 skill.md，开箱即用 |
|
||||
| **CLI + skill.md** | 通用方案，兜底所有 Harness | 一条命令调用，shell 友好 |
|
||||
|
||||
三条路径的设计哲学是：**不强迫任何 Agent 框架做 ReMe-specific 的改造**。
|
||||
|
||||
- 对深度合作方，给最丝滑的 SDK。
|
||||
- 对支持 MCP 的产品，靠 MCP 标准协议。
|
||||
- 对什么都不支持的环境，CLI + skill.md 兜底。
|
||||
|
||||
### 8.2 服务托管
|
||||
|
||||
- **按需拉起**：Agent 检测到 ReMe 服务未运行时，可以自动后台拉起，用户无感知。
|
||||
- **服务发现**：`find_reme` 一键探活，避免端口冲突；多个 ReMe 实例共存时也能精准定位。
|
||||
|
||||
### 8.3 ReMe 的边界
|
||||
|
||||
> **ReMe 专注于知识加工，不做知识获取。**
|
||||
|
||||
- **数据采集** —— 网页抓取、邮件接入、Slack 同步、文件上传 —— 由上游 Agent 完成。
|
||||
- **ReMe 负责** —— 把这些资料消化、整理、链接、检索、自进化。
|
||||
|
||||
这个边界划得清楚的好处：
|
||||
|
||||
- ReMe 不和上游的数据接入工具竞争。
|
||||
- ReMe 不需要为每种数据源写适配，专注做记忆引擎本职。
|
||||
- 让 ReMe 在"被集成"路线上更纯粹、更通用。
|
||||
|
||||
---
|
||||
|
||||
## 九、应用场景
|
||||
|
||||
### 9.1 金融场景：产业链知识库
|
||||
|
||||
**主角**：王分析师，新能源行业研究员，每天要处理 10+ 篇研报、数十条产业新闻、若干场公司调研。
|
||||
**痛点**：信息散落在飞书文档、PDF 研报、微信群消息、调研纪要里，"上次调研宁德时代时聊到的钴价话题"再也找不回来。
|
||||
|
||||
#### 一周内 ReMe 自动织出的产业链图谱
|
||||
|
||||
> **关键边界**：Auto-Dream 只对**已存在的 daily 事实**做聚合，不会凭空梦出"产业链总览"这种结构性概念。总览级笔记的诞生依赖**用户主动 query**，下面会分两个阶段展示。
|
||||
|
||||
##### 阶段一：Auto-Memory + Auto-Dream（事实层聚合）
|
||||
|
||||
**Day 1（周一）盘后**：王分析师把今天看到的 3 篇研报扔给 Agent，又口述了对刚果(金)矿权变更的看法。
|
||||
|
||||
```
|
||||
对话原文(片段)：
|
||||
> 今天嘉能可发了三季报，钴产量同比下滑 18%……
|
||||
> 刚果(金)那边的政策变化，对洛阳钼业 KFM 矿的影响要重点跟……
|
||||
> 下游三元正极厂商已经开始转向高镍低钴方案……
|
||||
```
|
||||
|
||||
ReMe 当晚 Auto-Memory 拆事件：
|
||||
|
||||
```
|
||||
daily/20260518/
|
||||
├── 嘉能可三季报点评.md ← Auto-Memory 拆出的事件 1
|
||||
├── 刚果金矿权政策跟踪.md ← 事件 2
|
||||
└── 三元正极高镍化趋势.md ← 事件 3
|
||||
```
|
||||
|
||||
**Day 2-3**：王分析师又陆续聊了宁德调研、亿纬电话会、嘉能可后续公告，daily 里「钴」「嘉能可」「三元正极」「宁德时代」反复出现。
|
||||
|
||||
**Day 3（周三）夜间 Auto-Dream**：把多天 daily 里**反复出现的实体**聚合成实体笔记——只做归并，不做总览。
|
||||
|
||||
```
|
||||
digest/knowledge/financial/公司/
|
||||
├── 嘉能可.md ← 新建：聚合 day1/day2 提到嘉能可的 4 个事件
|
||||
├── 洛阳钼业.md ← 新建
|
||||
└── 宁德时代.md ← 已有，本次新增「高镍化决策」一节
|
||||
digest/knowledge/financial/原料/
|
||||
└── 钴.md ← 新建：聚合 3 天里所有提到「钴」的内容
|
||||
digest/knowledge/financial/产品/
|
||||
└── 三元正极.md ← 新建：技术路线变化
|
||||
```
|
||||
|
||||
注意：**Auto-Dream 没有生成「锂电产业链.md」**——产业链是结构性概括，不在 daily 事实里，凭空生成就是幻觉。
|
||||
|
||||
##### 阶段二：用户 query 触发检索 + 合成（结构层）
|
||||
|
||||
**Day 5（周五）**：王分析师准备组会要讲新能源板块，主动问 Agent：
|
||||
|
||||
> **"分析锂电相关上下游"**
|
||||
|
||||
这一句 query 触发了**检索 → 合成 → 落盘**的完整闭环：
|
||||
|
||||
###### Step 1：渐进式检索返回多节点 + 关系骨架
|
||||
|
||||
ReMe 走多模融合（向量 + BM25 + 图谱），命中 3 天来 Auto-Dream 已经聚合好的实体节点，并展开 1-hop 邻居 meta：
|
||||
|
||||
```
|
||||
========== 第一跳：直接命中（5 个节点）==========
|
||||
|
||||
digest/knowledge/financial/原料/钴.md:42-78 [score=0.0234]
|
||||
# 钴 / ## 应用
|
||||
钴是锂电正极材料的关键原料，主要用于动力电池……
|
||||
→ outlinks (4):
|
||||
→ digest/knowledge/financial/产品/三元正极.md via predicate=downstream
|
||||
→ digest/knowledge/financial/公司/嘉能可.md via predicate=producer
|
||||
→ digest/knowledge/financial/公司/洛阳钼业.md via predicate=producer
|
||||
→ daily/20260518/三元正极高镍化趋势.md via plain
|
||||
← inlinks (2):
|
||||
← daily/20260318/宁德调研纪要.md via plain
|
||||
← daily/20260512/亿纬电话会.md via plain
|
||||
|
||||
digest/knowledge/financial/产品/三元正极.md:15-44 [score=0.0211]
|
||||
# 三元正极 / ## 高镍低钴路线
|
||||
2025 年起主流厂商加速 8 系/9 系产品……
|
||||
→ outlinks (2):
|
||||
→ digest/knowledge/financial/公司/宁德时代.md via predicate=used_by
|
||||
→ digest/knowledge/financial/原料/钴.md via predicate=upstream
|
||||
|
||||
digest/knowledge/financial/公司/宁德时代.md:88-120 [score=0.0193]
|
||||
# 宁德时代 / ## 高镍化决策
|
||||
本季度切换到 9 系三元为主……
|
||||
|
||||
digest/knowledge/financial/公司/嘉能可.md:5-30 [score=0.0167]
|
||||
digest/knowledge/financial/公司/洛阳钼业.md:1-22 [score=0.0152]
|
||||
|
||||
========== 第二跳：Agent 主动展开邻居 meta（不取正文）==========
|
||||
共 9 个邻居节点，按预测相关度排序：
|
||||
- digest/knowledge/financial/公司/亿纬锂能.md ← 三元正极 used_by 反链
|
||||
- daily/20260512/亿纬电话会.md ← 宁德时代 inlinks
|
||||
- daily/20260318/宁德调研纪要.md ← 钴 inlinks
|
||||
...
|
||||
```
|
||||
|
||||
Agent 不需要把这些邻居正文都拉回来——光看"路径 + name + predicate"就足够拼出上下游骨架。
|
||||
|
||||
###### Step 2：Agent 基于检索结果合成总览，写回知识库
|
||||
|
||||
```
|
||||
digest/knowledge/financial/产业链/
|
||||
└── 锂电产业链.md ← 由 Day 5 query 触发合成
|
||||
内容来源：上一步检索命中的 5 个节点 + 关系
|
||||
不引入任何 daily 之外的"想象"
|
||||
```
|
||||
|
||||
`锂电产业链.md` 正文：
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: 锂电产业链总览
|
||||
source: query-synthesized ← 标记来源是 query 合成
|
||||
trigger_query: "分析锂电相关上下游"
|
||||
generated_at: 2026-05-22
|
||||
generated_from:
|
||||
- [[钴]]
|
||||
- [[嘉能可]]
|
||||
- [[洛阳钼业]]
|
||||
- [[三元正极]]
|
||||
- [[宁德时代]]
|
||||
---
|
||||
|
||||
## 上游 · 资源
|
||||
- 钴矿：[[嘉能可]] / [[洛阳钼业]]（刚果金为主产区，详见 [[钴]]）
|
||||
|
||||
## 中游 · 材料
|
||||
- 正极：[[三元正极]]（高镍化趋势，详见同名笔记）
|
||||
|
||||
## 下游 · 电池厂
|
||||
- [[宁德时代]]（[[daily/20260318/宁德调研纪要]] 中已确认 9 系切换）
|
||||
- [[亿纬锂能]]（[[daily/20260512/亿纬电话会]] 中提到产能规划）
|
||||
|
||||
> 本笔记由 query 触发合成；下次再问"锂电上下游"会直接命中此文件，
|
||||
> 后续 Auto-Link 会在新 daily 事件出现相关实体时增量补连接。
|
||||
```
|
||||
|
||||
###### Step 3：Agent 同步给出组会答复
|
||||
|
||||
Agent 拿这份合成结果，给王分析师的回复直接带**上下游骨架 + 公司归属 + 历史调研引用**：
|
||||
|
||||
> "锂电产业链分三段：上游钴矿（嘉能可、洛阳钼业，刚果金集中）、中游三元正极（高镍化加速）、下游电池厂（宁德/亿纬）。这周您提到的事件分别落在：嘉能可三季报 → 上游产能；高镍化趋势 → 中游路线切换；宁德 9 系切换 → 下游产品验证。详细引用见 [[digest/knowledge/financial/产业链/锂电产业链]]。"
|
||||
|
||||
**关键差异**：传统 RAG 会一股脑塞 5 个文件正文进上下文；ReMe 是"先看 5 个节点的目录骨架 → 拼出总览 → 落盘成可被反复消费的笔记"。下次再问"锂电下游有谁"，直接命中这份总览，不用再走一遍合成。
|
||||
|
||||
##### Day 7：图谱已经长出层次
|
||||
|
||||
```
|
||||
┌─────────────┐
|
||||
┌────────►│ 锂电产业链 │◄────────┐
|
||||
│ └──────┬──────┘ ← Day 5 query 合成
|
||||
│ upstream │ │ upstream
|
||||
│ │ contains │
|
||||
┌───────┴──────┐ ▼ ┌──────┴──────┐
|
||||
│ 钴 │ ┌─────────┐ │ 锂 │
|
||||
│ (刚果金产区) │◄──┤ 原料 ├────►│ (盐湖产区) │
|
||||
└───────┬──────┘ └────┬────┘ └─────────────┘
|
||||
│ producer │ downstream
|
||||
▼ ▼
|
||||
┌──────────────┐ ┌──────────────┐
|
||||
│ 嘉能可 │ │ 三元正极 │◄── 高镍化趋势
|
||||
│ 洛阳钼业 │ └──────┬───────┘
|
||||
└──────────────┘ │ used_by
|
||||
▼
|
||||
┌──────────────┐
|
||||
│ 宁德时代 │ ← daily/0318 调研纪要
|
||||
│ 亿纬锂能 │ ← daily/0512 电话会
|
||||
└──────────────┘
|
||||
【实体层 · Auto-Dream 聚合产生】 │
|
||||
│
|
||||
【结构层 · query 合成产生】
|
||||
```
|
||||
|
||||
每条边都对应文件里的一句 `predicate:: [[X]]`，每个节点点开就是 Markdown 笔记，每段笔记都能反向追溯到原始 daily 事件——**没有任何节点是凭空"梦"出来的**。
|
||||
|
||||
#### proactive：主动洞察推送
|
||||
|
||||
每天早上 9:00，ReMe 在 `digest/proactive/20260519.md` 里写：
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: 早间洞察 · 2026-05-19
|
||||
---
|
||||
|
||||
## 与您近期关注主题相关的事件
|
||||
|
||||
- **嘉能可宣布刚果(金) Mutanda 矿复产** ← 关联 [[钴]] / [[嘉能可]]
|
||||
上周您在 [[daily/20260518/嘉能可三季报点评]] 中标注「关注复产节奏」。
|
||||
→ 复产对钴价的边际影响估计 -5% 到 -8%，可能影响 [[三元正极]] 成本。
|
||||
|
||||
- **宁德时代发布麒麟电池新版本** ← 关联 [[宁德时代]] / [[三元正极]]
|
||||
上次调研（[[daily/20260318/宁德调研纪要]]）中提到的高镍方案已落地。
|
||||
```
|
||||
|
||||
**这就是金融场景下 ReMe 的核心价值**：分析师只负责"看 + 说"，知识图谱自己长出来；当行业事件发生时，ReMe 主动把"新事件 ↔ 旧上下文"的连线送到分析师面前。
|
||||
|
||||
---
|
||||
|
||||
### 9.2 个人工作 & 生活第二大脑
|
||||
|
||||
**主角**：李工，前端工程师 + 业余跑者 + 有娃奶爸。每天和 Agent 聊工作 bug、读论文、讨论小孩教育、规划周末徒步路线。
|
||||
**目标**：让所有这些零散的对话沉淀成一份"自己的"知识库，三个月后能用 Obsidian 直接打开浏览。
|
||||
|
||||
#### 时间线：从空目录到第二大脑
|
||||
|
||||
```
|
||||
Day 1 Day 7 Day 30 Day 90
|
||||
│ │ │ │
|
||||
▼ ▼ ▼ ▼
|
||||
[空目录] [daily 流水开始堆积] [knowledge 主题浮现] [图谱密集成网]
|
||||
│
|
||||
──────────────────────── Auto-Memory ─────────────────────────────► │
|
||||
──────────── Auto-Dream（每晚） ──────────────────► │
|
||||
────── Auto-Link（持续） ─────────────► │
|
||||
▼
|
||||
Obsidian Graph
|
||||
打开是密集网状
|
||||
```
|
||||
|
||||
#### Day 7：daily 流水
|
||||
|
||||
```
|
||||
daily/
|
||||
├── 20260513.md
|
||||
├── 20260513/
|
||||
│ ├── 调试登录页面 CSS 问题.md ← 工作
|
||||
│ ├── 读《深度工作》第三章.md ← 学习
|
||||
│ └── 周末徒步路线讨论.md ← 生活
|
||||
├── 20260514.md
|
||||
├── 20260514/
|
||||
│ ├── 团队周会决定切换到 pnpm.md ← 工作
|
||||
│ ├── 给宝宝挑选英语启蒙绘本.md ← 育儿
|
||||
│ └── 5km 配速训练记录.md ← 跑步
|
||||
└── ……
|
||||
```
|
||||
|
||||
打开 `daily/20260513.md`（主索引）：
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: 2026-05-13
|
||||
---
|
||||
|
||||
## 今日事件
|
||||
|
||||
- 09:30 [[daily/20260513/调试登录页面 CSS 问题]] · #工作 #前端
|
||||
- 14:20 [[daily/20260513/读《深度工作》第三章]] · #阅读
|
||||
- 21:10 [[daily/20260513/周末徒步路线讨论]] · #生活 #徒步
|
||||
```
|
||||
|
||||
#### Day 30：Auto-Dream 已经把主题归档好了
|
||||
|
||||
```
|
||||
digest/knowledge/
|
||||
├── life/ ← 用户自定义二级分类：生活
|
||||
│ ├── 跑步训练日志.md ← 把 1 个月的「配速训练」事件聚合
|
||||
│ ├── 阅读笔记/
|
||||
│ │ ├── 深度工作.md ← 全书要点（从多次 daily 阅读片段汇总）
|
||||
│ │ └── 给孩子的诗.md
|
||||
│ └── 徒步路线/
|
||||
│ ├── 莫干山线.md
|
||||
│ └── 千岛湖环湖线.md
|
||||
├── work/ ← 用户自定义二级分类：工作
|
||||
│ ├── 前端调试技巧.md ← 「调试登录页面 CSS」「修复 z-index」等事件聚合
|
||||
│ ├── 包管理工具切换决策.md ← 「pnpm vs npm」讨论沉淀
|
||||
│ └── 团队会议纪要/
|
||||
└── parenting/ ← 用户自定义二级分类：育儿
|
||||
├── 英语启蒙书单.md
|
||||
└── 与孩子沟通技巧.md
|
||||
```
|
||||
|
||||
李工没有手动建过任何一个 `digest/knowledge/` 下的文件——它们都是 Agent 在他睡觉时从 daily 里"梦出来"的。同时 Agent 在 `digest/personal/` 沉淀着对李工的画像（"偏前端"、"早睡"、"周末徒步"），但这一层用户不会主动浏览。
|
||||
|
||||
#### Day 90：Obsidian Graph View 打开是这样
|
||||
|
||||
```
|
||||
[深度工作]
|
||||
▲
|
||||
引用 │ 应用到
|
||||
│
|
||||
[跑步训练日志] ◄── 借鉴方法 ── [前端调试技巧] ──► [包管理工具切换决策]
|
||||
│ ▲ ▲
|
||||
│ 关联 │ │ 提到
|
||||
▼ │ │
|
||||
[徒步路线] [周会纪要] [团队成员]
|
||||
│ │
|
||||
│ │ mentions
|
||||
▼ ▼
|
||||
[莫干山线] ───── 同行 ────► [Alice] ◄── 育儿讨论 ── [给孩子的诗]
|
||||
│
|
||||
▼
|
||||
[英语启蒙书单]
|
||||
```
|
||||
|
||||
**这张图是李工的"第二大脑"**——工作、跑步、阅读、育儿、社交关系全部交织在一起，能从「Alice」一路联想到「莫干山徒步」，再跳到「孩子的英语书单」，因为某次徒步同行时聊到过这个话题。
|
||||
|
||||
#### 一次具体的"联想式回忆"
|
||||
|
||||
某天李工问："**上次和 Alice 一起聊过的那本书叫什么？**"
|
||||
|
||||
```
|
||||
========== 第一跳：daily 命中 ==========
|
||||
daily/20260420/与 Alice 周末聚餐.md
|
||||
> ……Alice 推荐了一本讲注意力的书，标题里有「深度」两个字……
|
||||
|
||||
← inlinks:
|
||||
← digest/knowledge/life/阅读笔记/深度工作.md via plain
|
||||
→ outlinks:
|
||||
→ digest/personal/Alice.md via mention
|
||||
|
||||
========== 第二跳：Agent 顺藤摸瓜 ==========
|
||||
digest/knowledge/life/阅读笔记/深度工作.md
|
||||
> 卡尔·纽波特，2016 年出版……
|
||||
```
|
||||
|
||||
Agent 回："**《深度工作》，卡尔·纽波特著。** 您在 4/20 周末聚餐时 Alice 推荐的，您后来在 5/13 读了第三章并做了笔记。"
|
||||
|
||||
模糊回忆 → 精确召回 → 上下文重建——这是普通"对话历史搜索"做不到的，因为它只会按时间顺序往回翻，而 ReMe 沿着图谱"联想"。
|
||||
|
||||
---
|
||||
|
||||
### 9.3 Agent 长期陪伴：跨会话的程序化记忆
|
||||
|
||||
**主角**：张研发，长期使用 Claude Code 做日常开发。希望 Agent "越用越懂我"——记得我的代码风格偏好，记得过去踩过的坑，记得未完成的任务。
|
||||
|
||||
#### 跨会话的记忆生命周期
|
||||
|
||||
```
|
||||
[第 1 次会话] [第 N 次会话，N 周后]
|
||||
│ │
|
||||
│ 用户在编辑器报错 │ 用户遇到类似报错
|
||||
▼ ▼
|
||||
┌─────────────┐ ┌─────────────┐
|
||||
│ Agent 排查 │ │ Agent 检索 │
|
||||
│ 试 A 方案 ❌│ ── ReMe ──► │ ReMe 召回 │
|
||||
│ 试 B 方案 ✅│ │ 上次的 B 方案│
|
||||
└──────┬──────┘ └──────┬──────┘
|
||||
│ 写入 │ 直接套用
|
||||
▼ ▼
|
||||
digest/ 跳过踩坑，1 步解决
|
||||
├── procedural/
|
||||
│ └── webpack 编译卡死.md ← Agent 任务经验
|
||||
└── personal/
|
||||
└── 代码风格.md ← 用户偏好画像
|
||||
```
|
||||
|
||||
#### 程序化记忆的真实例子
|
||||
|
||||
**第 1 次会话（2026-03-10）**：webpack 编译突然卡死。
|
||||
|
||||
```
|
||||
对话过程(摘要)：
|
||||
- 用户："npm run build 卡在 92% 不动了"
|
||||
- Agent 试方案 A：清缓存 → 没用 ❌
|
||||
- Agent 试方案 B：升级 terser-webpack-plugin → 没用 ❌
|
||||
- Agent 试方案 C：发现是 fork-ts-checker 的 OOM，加 --max-old-space-size=8192 → ✅ 成功
|
||||
```
|
||||
|
||||
ReMe 的 Auto-Dream 当晚把这次会话沉淀到：
|
||||
|
||||
```markdown
|
||||
# digest/procedural/webpack 编译卡死.md
|
||||
---
|
||||
name: webpack 编译卡死的排查路径
|
||||
type: programmatic
|
||||
---
|
||||
|
||||
## 症状
|
||||
build 卡在 92%（chunk asset optimization 阶段）。
|
||||
|
||||
## 排查顺序（按命中率）
|
||||
1. ✅ **检查 Node 内存**：`NODE_OPTIONS=--max-old-space-size=8192`
|
||||
→ fork-ts-checker 在大型 TS 项目里很容易 OOM
|
||||
2. ❌ 清 .cache 缓存（多数情况下无效）
|
||||
3. ❌ 升级 terser-webpack-plugin（仅特定版本相关）
|
||||
|
||||
## 关联
|
||||
- 用户偏好：[[digest/personal/代码风格#TypeScript]] 启用了 strict 模式，
|
||||
类型检查负担大，更易触发 OOM
|
||||
- 历史事件：[[daily/20260310/webpack 卡死排查]]
|
||||
```
|
||||
|
||||
**第 2 次会话（2026-04-22，6 周后）**：用户在另一个项目又遇到类似问题。
|
||||
|
||||
```
|
||||
用户："vite build 也卡在打包阶段，是同一类问题吗？"
|
||||
|
||||
Agent 内部检索 ReMe：
|
||||
========== 命中：digest/procedural/webpack 编译卡死.md ==========
|
||||
关键词匹配：编译卡死、build 阶段
|
||||
向量相似：vite build ≈ webpack build
|
||||
|
||||
Agent 回复：
|
||||
"根据您 3/10 在另一个项目遇到的同类问题，建议优先检查 Node 内存。
|
||||
vite 的 esbuild 阶段也吃内存，先试 NODE_OPTIONS=--max-old-space-size=8192。
|
||||
（上次清缓存和升级 plugin 都没用，可以跳过）"
|
||||
```
|
||||
|
||||
**节省的不是时间，是踩坑路径**——这就是程序化记忆的价值。
|
||||
|
||||
#### 用户偏好的"自我画像"
|
||||
|
||||
`digest/personal/` 下随时间长出的画像：
|
||||
|
||||
```markdown
|
||||
# digest/personal/代码风格.md
|
||||
---
|
||||
type: personalization
|
||||
---
|
||||
|
||||
## 命名
|
||||
- 倾向：函数 camelCase、类型 PascalCase、常量 SCREAMING_SNAKE
|
||||
- 来源：[[daily/20260215]] 多次纠正 Agent 的命名建议
|
||||
|
||||
## 注释
|
||||
- 倾向：**不写无意义注释**，只在 WHY 不显然时写
|
||||
- 来源：[[daily/20260301]] 用户原话："don't comment what the code already says"
|
||||
|
||||
## 错误处理
|
||||
- 倾向：边界处校验、内部代码相信调用方
|
||||
- 来源：[[daily/20260408]] 用户拒绝在内部函数加 try/catch 时的解释
|
||||
|
||||
## 测试组织
|
||||
- 倾向：tests4/unittest 按基类组织（来自项目 CLAUDE.md）
|
||||
```
|
||||
|
||||
**意义**：这不是 Agent 在 system prompt 里写死的"用户喜欢简洁"，而是**从用户实际行为里被动观察到的、可追溯到具体对话的偏好画像**。每条偏好都有 `[[daily/...]]` 反向链接，用户可以审视、可以修正。
|
||||
|
||||
#### 三类记忆在 Agent 陪伴里的分工
|
||||
|
||||
回到 [3.2](#32-digest-下的四种记忆) 中 `digest/` 的四个子目录，本场景主要由其中三类共同支撑（proactive 已在 9.1 主动推送场景演示）：
|
||||
|
||||
| digest 子目录 | 写入触发 | 检索权重 | 实际表现 |
|
||||
|----------------------------|----------------|----------|---------------------------------------|
|
||||
| **digest/personal/** | 用户纠正 / 偏好表达 | 全场景常驻 | "我懂你不爱写注释" |
|
||||
| **digest/procedural/** | 任务完成后归纳成功/失败路径 | 任务相似度高时高 | "上次这类 bug 你这样解决过" |
|
||||
| **digest/knowledge/** | 学习对话、文档阅读 | 主题相关时高 | "你之前学过的 React Server Components" |
|
||||
|
||||
三类共同织成一个"懂用户 + 会做事 + 有知识"的长期陪伴 Agent——**差异化体验来自 ReMe 维护的个人记忆，而不是模型本身**。换言之，同一个 Claude / Qwen 模型，套上不同用户的 ReMe，会变成完全不同的 Agent。
|
||||
|
||||
---
|
||||
|
||||
## 十、性能与稳定性
|
||||
|
||||
### 10.1 自研轻量内核
|
||||
|
||||
新版本重写了记忆引擎的核心模块：
|
||||
|
||||
- **file chunker** —— Markdown AST + 章节切片 + wikilink 抽取
|
||||
- **file store** —— 内存 chunk 字典 + JSONL 持久化
|
||||
- **file graph** —— 双向链接索引，多 backend
|
||||
- **file watcher** —— 基于 watchfiles 的轻量监听
|
||||
- **keyword index** —— 自研增量 BM25 倒排，原生支持中文
|
||||
|
||||
整体**纯 Python + 文件持久化**，无 sqlite/chroma 等三方原生依赖。
|
||||
|
||||
### 10.2 跨平台稳定性
|
||||
|
||||
老版本在 qwenpaw 等低版本 Linux/Win 环境会出现 sqlite 段错误、chroma core dump，这些问题在新版本完全规避：
|
||||
|
||||
- 没有 native 扩展依赖。
|
||||
- 老旧 glibc / 老旧 Python 版本也能跑。
|
||||
- 安装简单，不需要 cmake、build-essential。
|
||||
|
||||
这对一个**要被部署到大量异构用户机器**的产品至关重要。
|
||||
|
||||
### 10.3 未来：Rust / C++ 高性能内核
|
||||
|
||||
- 当前 Python 版本已能覆盖个人规模知识库（万级文件）。
|
||||
- 规划用 Rust / C++ 重写关键路径（BM25 索引、文件解析、向量计算），支撑：
|
||||
- 更大规模（十万级文件）
|
||||
- 更低延迟（亚秒级冷启动）
|
||||
- 更小内存
|
||||
- 上层 API 不变，对用户和 Agent 接入方完全透明。
|
||||
|
||||
---
|
||||
|
||||
## 十一、Roadmap
|
||||
|
||||
| 阶段 | 关键里程碑 |
|
||||
|-----------|--------------------------------------------------------------------------------------------------------|
|
||||
| **Now** | 组件框架、Job/Step、Markdown 内核、混合检索（向量+BM25+图谱）、HTTP / MCP / CLI 三协议服务 |
|
||||
| **Next** | auto-memory / auto-dream / auto-link 全套自进化能力；记忆类型分层；resource / proactive 目录；skill.md 模板；qwenpaw SDK 集成 |
|
||||
| **Later** | 多跳渐进检索 API、领域 demo（金融产业链）、个人场景模板包、Rust 高性能内核、可视化管理面板 |
|
||||
|
||||
每个阶段都有清晰的对外可演示成果：
|
||||
|
||||
- Now → 可以现场演示 ReMe 检索 + Agent 集成。
|
||||
- Next → 可以演示"今天聊的内容明天自动整理好"。
|
||||
- Later → 可以演示十万级知识库下的亚秒检索 + 主动推送闭环。
|
||||
|
||||
---
|
||||
|
||||
## 十二、结语：ReMe 想成为什么
|
||||
|
||||
> ReMe 不止是「记忆库」。
|
||||
>
|
||||
> 它的目标是：**让每个用户拥有一张由本地 Markdown 自进化而成、可携带、可被任意 Agent 调用的个人知识图谱。**
|
||||
>
|
||||
> 当 Agent 时代真正到来时，差异化的不是模型，而是「这个 Agent 是不是了解我」。
|
||||
>
|
||||
> ReMe 想做的，就是这份「了解」的载体——一张属于用户自己、Agent 可读可写、会自己生长的图谱。
|
||||
|
||||
**三个判断**：
|
||||
|
||||
1. 个人记忆是 Agent 时代必然出现的基础设施 —— 不是 ReMe 不做就没人做，而是早做的人有先发优势。
|
||||
2. **本地 Markdown + 自进化 + 知识图谱**（叠加被集成路线）—— 这套组合在当下市场是空缺的。
|
||||
3. ReMe 的工程内核已经就位，剩下是**自进化能力 + 生态集成 + 场景模板**的三件套加固，路径明确。
|
||||
|
|
@ -1,192 +0,0 @@
|
|||
# 快速测试
|
||||
|
||||
```bash
|
||||
# 终端 A：启动服务
|
||||
reme4 start
|
||||
|
||||
# 终端 B：调用 version 验证服务可用
|
||||
reme4 version
|
||||
# 预期输出：✅ ReMe v{__version__}
|
||||
```
|
||||
|
||||
# 基础Job
|
||||
|
||||
@jinli
|
||||
|
||||
入口：`reme4/reme.py::main()` → `parse_args(*sys.argv[1:])` 解析首个位置参数为 `action`，后续 `key=value` 解析为 kwargs（支持
|
||||
`service.port=8080` 的 dot notation；自动剥离 `--` / `-` 前缀；值会做 bool / int / float / JSON 转换）。
|
||||
|
||||
调用模式：
|
||||
|
||||
- `start`：本地启动 `ReMe(Application)` 服务（不经过 client）
|
||||
- `find_reme`：本地探测正在运行的 reme，不调用服务
|
||||
- `list`：在 client 端拦截，不转发到服务端，直接返回 action 目录
|
||||
- 其他 action：通过 `call_server(action, **kwargs)` → `R.get(ComponentEnum.CLIENT, backend)` 实例化客户端并流式打印（任意未列出的
|
||||
step register name 都按本规则透传）
|
||||
|
||||
通用可选参数 `backend:str=http`（取值 `http` / `mcp`，对应 `reme4/components/client/{http_client,mcp_client}.py` 中
|
||||
`@R.register` 注册名）；服务端默认 host/port 见 `reme4/constants.py`，可由 `start` 端通过 `service.host=` / `service.port=`
|
||||
覆盖。
|
||||
|
||||
说明：📥 输入参数 ｜ 📤 输出 ｜ ⭐ 必填 ｜ 🎚️ 默认值 ｜ 🛠️ 内部行为 ｜ 📊 metadata
|
||||
|
||||
| 分类 | 指令 (register name) | 入口 | 参数 & 行为 |
|
||||
|------------|--------------------------------------------------|-------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
||||
| 🚀 本地 | 🟢 `start` | `reme.py:30` → `ReMe(**kwargs).run_app()` | 📥 可选 `config=<name\|path>`（默认加载 `reme4/config/default.yaml`，`.yaml/.yml/.json` 都支持，含 `${ENV:-default}` 占位符）｜ 可选 `service.host=` / `service.port=` 等任意 dot-notation 覆盖 ｜ 🛠️ 流程：`load_env()` → `resolve_app_config(**kwargs)` deep merge → `precheck_start(svc)`（`utils/service_utils.py:72`：目标 host:port 已有 reme → 打印 `reme already running ...` 直接返回；端口被其他进程占用 → stderr 提示 `port {port} occupied. Start on another port: reme4 start service.port=<other_port>` 并 `sys.exit(1)`）→ 启动服务 |
|
||||
| 🚀 本地 | 🧭 `find_reme` | `reme.py:36` → `utils/service_utils.py:89` | 📥 无 ｜ 📤 发现服务则 stdout 打印 `HOST={host} PORT={port} PID={pid or 'unknown'}`；未发现则 stderr 提示 `reme not started. Try: reme start` 并 `sys.exit(1)` ｜ 🛠️ 流程：先探 `REME_DEFAULT_HOST:REME_DEFAULT_PORT`（`health_check` 命中算 `reme`），再 `pgrep -af "reme.* start"` 扫描其他端口 |
|
||||
| 🛰️ 客户端 | 📜 `list` | `components/client/base_client.py:36` | 📥 无 ｜ 📤 服务端可用 action 目录（JSON，`indent=2 ensure_ascii=False`）｜ 🛠️ 在 `BaseClient.__call__` 中拦截，不进入 `_execute`，直接调用 `list_actions()`（HTTP/MCP backend 各自实现） |
|
||||
| 🌐 通用 step | 🆘 `help` (`help_step`) | `call_server("help")` | 📥 无 ｜ 📤 `answer` 一行一个 job：`🛠️ \`{name}\` — {description} 📥 {params}`，参数渲染为 `name:type*`(必填) / `name:type={default}` / `name:type` ｜ 📊 `metadata.job_count` ｜ 🛠️ 自动跳过名为 `help` 的 job |
|
||||
| 🌐 通用 step | 🩺 `health_check` (`health_check_step`) | `call_server("health_check")` | 📥 无 ｜ 📤 `answer = "✅/❌ ReMe v{version} - healthy/unhealthy"` ｜ 📊 `metadata.health = {version, healthy, components}` ｜ 🧩 覆盖组件：`embedding_model`(🟢 is_started/is_healthy/model_name/dimensions/cache_size/memory) · `file_graph`(🕸️ n_nodes/n_edges/n_virtual\|n_pending/memory) · `file_store`(📦 n_chunks/n_chunks_with_embedding/memory) · `file_watcher`(👀 background_running/watch_paths) · `keyword_index`(🔤 n_docs/vocab_size/memory) ｜ 🛠️ deep sizeof（含 numpy.nbytes），未启动 / 后台未跑 / embedding 不健康 → ❌ |
|
||||
| 🌐 通用 step | 🏷️ `version` (`version_step`) | `call_server("version")` | 📥 无 ｜ 📤 `answer = reme4.__version__` ｜ 📊 `metadata.version` |
|
||||
| 🌐 通用 step | 🔄 `reindex` (`reindex_step`) | `call_server("reindex")` | 📥 无 ｜ 📤 `answer = "🔄 Reindexed {added} file(s)"` ｜ 📊 `metadata.counts = {added, ...}` ｜ 🛠️ 流程：`file_watcher.close()` → `file_store.clear()` → `file_watcher.update_store()` → `file_watcher.start()`（finally 保证重启） |
|
||||
| 🔎 search | 🔍 `search` (`search_step`) | `call_server("search", query=…, …)` | 📥 `query:str` ⭐ ｜ 🎚️ `limit:int=5`(>0) ｜ 🎚️ `min_score:float=0.0` ｜ ⚖️ `vector_weight:float=0.7` ∈[0,1]（keyword 权 = 1-vw）｜ 🔀 `candidate_multiplier:float=3.0`（candidates = min(200, limit×mult)）｜ 🔗 `expand_links:bool=True` ｜ 🔢 `max_links_per_direction:int=10` ｜ 🎚️ `search_filter:dict={}` ｜ 📤 `answer` 每命中一行 `path:start-end [score=… vector=… keyword=…] text` + 缩进的 `→ outlinks (n)` / `← inlinks (n)` + `via predicate=… anchor=#…` ｜ 📊 `metadata.results` / `metadata.link_expansion` / `metadata.counts={vector,keyword,returned,hybrid}` ｜ 🛠️ 并行 `vector_search` + `keyword_search` → RRF 融合（K=60，按 chunk.id 合并）→ `min_score` 过滤 → `limit` 截断 → 邻居 meta 注入 |
|
||||
| 🧪 demo | 🪄 `demo_echo` (`demo_echo_step1` + `step2`) | `call_server("demo_echo", query=…, min_score=…)` | 📥 `query:str=""` ｜ 🎚️ `min_score:float=0.5` ｜ 🛠️ step1：`processed_query = query.strip().lower()`，`adjusted_min_score = min_score * 0.9`，写回 context ｜ 📤 step2：`answer = "echo: {processed_query} (min_score={adjusted_min_score})"` ｜ 📊 `metadata = {step, query, min_score, processed_query, adjusted_min_score}` |
|
||||
| 🌊 demo | 🌊 `stream_demo` (`stream_demo_step1` + `step2`) | `call_server("stream_demo", query=…, repeat=…, interval=…)` | 📥 `query:str=""` ｜ 🎚️ `repeat:int=10` ｜ 🎚️ `interval:float=0.1`（秒/字符）｜ 🛠️ step1：`stream_text = query * repeat` 写回 context ｜ 📤 step2：按字符 `add_stream_string(ch, ChunkEnum.CONTENT)` 流式输出，`asyncio.sleep(interval)` 节流 |
|
||||
| 📂 crud | 📖 `read` (`read_step`) | `call_server("read", path=…, …)` | 📥 `path:str` ⭐（**完整相对路径**，相对于 vault；绝对路径会被拒绝；非 `.md` 后缀拒绝）｜ 🎚️ `start_line:int=null`（1-based, 含端点）｜ 🎚️ `end_line:int=null`（1-based, 含端点）｜ 🎚️ `max_bytes:int=51200`（截断阈值）｜ 📤 `answer = 选中的行内容`，超过 `max_bytes` 时附加 `--- TRUNCATED ---` 续读指引（`start_line=…`）｜ 📊 `metadata.path` / `metadata.total_lines`（出错路径才会附带）｜ 🛠️ 流程：`BaseStep.resolve_path(raw, require_md=True)` → `aiofiles.os.stat` → `read_file_safe`（utf-8-sig BOM 容忍、UnicodeDecodeError fallback `errors=ignore`）→ `split("\n")` 切片 `[s-1:e]` → `truncate_text_output` 按字节截断保行 |
|
||||
|
||||
使用示例：
|
||||
|
||||
```bash
|
||||
# 启动（默认 default.yaml）
|
||||
reme4 start
|
||||
|
||||
# 指定 config 与服务端口
|
||||
reme4 start config=paw.yaml service.port=8181
|
||||
|
||||
# 查找在跑的 reme
|
||||
reme4 find_reme
|
||||
# HOST=127.0.0.1 PORT=8000 PID=12345
|
||||
|
||||
# 列出所有可用 action（client 端处理，不转服务端）
|
||||
reme4 list
|
||||
|
||||
# 转发到服务端的 step：所有 key=value 透传为 step kwargs
|
||||
reme4 help
|
||||
reme4 health_check
|
||||
reme4 version
|
||||
reme4 reindex
|
||||
reme4 search query="latency 问题" limit=10 min_score=0.2 vector_weight=0.6
|
||||
|
||||
# 读取 vault 下的 markdown（完整相对路径；无后缀自动补 .md；可按行切片或限制字节）
|
||||
reme4 read path=Templates/Recipe.md
|
||||
reme4 read path=Notes start_line=1 end_line=20
|
||||
reme4 read path=Big.md max_bytes=4096
|
||||
|
||||
# 通过 MCP backend 调用
|
||||
reme4 search query="..." backend=mcp
|
||||
```
|
||||
|
||||
@sen
|
||||
| file | upload/download/move/delete/stat/list | 文件操作CRUD |
|
||||
| property | read/update/delete | frontmatter CRUD | |
|
||||
| graph | traverse/retarget | path="My Note" directtion=forward/backward depth=1 predicat=xxx |
|
||||
|
||||
@wangce
|
||||
| crud | write | path="New Note" name="xxx" description="xxx" metadata={}, content="# Hello" (4 字段都必填，frontmatter 只写 name/description) |
|
||||
| crud | read | path="Templates/Recipe.md" |
|
||||
| crud | edit | path="Templates/Recipe.md" old="xxx" new="xxx" |
|
||||
| crud | append | path="My Note" content="New line" |
|
||||
|
||||
| crud | delete | path="My Note
|
||||
| daily_crud | daily_xxx | 与 crud 参数保持一致 |
|
||||
|
||||
- daily_resolve name=xxxx (符合一定规范 win下要求)
|
||||
- daily_list date=xxxx 返回path
|
||||
- daily_index
|
||||
|
||||
frontmatter read path
|
||||
frontmatter update path metadata={}
|
||||
frontmatter delete path keys=[]
|
||||
|
||||
delete path
|
||||
download path=xxx（内部相对路径）download_path=(外部绝对路径，可选)
|
||||
upload path=xxx（外部绝对路径）description="xxx" metadata=xxx 返回内部相对路径 加metadata
|
||||
stat path
|
||||
list path
|
||||
mv path=xxx new_path=xxx
|
||||
|
||||
traverse path=xxx direction=xxx depth=xxx
|
||||
|
||||
# 日记类型
|
||||
|
||||
| 类型 | 路径 | 说明 |
|
||||
|-----------|-----------------------------------------------|-----------------------------|
|
||||
| daily | {daily}/xxxx-mm-dd.md + xxxx-mm-dd/{event}.md | 按日期归档的原始信息记录 |
|
||||
| topic | topic/{topic:-personal(agent)}/{xxxx}.md | 按主题聚类的二次加工内容 |
|
||||
| proactive | todo | 基于 daily / topic 思考后主动推送的消息 |
|
||||
|
||||
# 生成Job
|
||||
|
||||
| 任务 | 输入 | 输出 | 触发时机 | 说明 |
|
||||
|-------------------------|---------------|-----------------------------------------------|-----------------------------|------------------------------------------------------|
|
||||
| 日记summary @sen @wangce | msg | {daily}/xxxx-mm-dd.md + xxxx-mm-dd/{event}.md | freq (every_n_turn、compact) | 把 msg 的信息写入 daily 目录 |
|
||||
| 主题dream + 生成链接 @sen | daily/xxx | knowledge/xxx | /dream | 把 daily 目录的内容按主题聚类合并到 topic 目录, 主动在文档中建立 [[link]] 关联 |
|
||||
| 主动proactive @wangce | daily / topic | proactive_query | pre_query | 思考 daily / topic 信息，主动决定推送给用户的消息 |
|
||||
|
||||
2. file_chunker
|
||||
a. 抽象基类 parse: @jinli
|
||||
ⅰ. 输入是path：相对路径
|
||||
ⅱ. 输出是FileMetadata & list[FileChunks] & list[FileEdge]
|
||||
b. default parser 兼容老方案 @jinli
|
||||
ⅰ. 带overlap的chunking策略 ，不输出FileEdge
|
||||
c. markdown parser @sen
|
||||
ⅰ. 根据markdown ast做chunk，不需要overlap
|
||||
ⅱ. 增加一个索引的chunk chunk_type @锦鲤 file_chunk_type content/index
|
||||
ⅲ. 增加link的正则解析：predicate:: [[path#anchor]]
|
||||
3. file_store @sen
|
||||
a. 抽象存储：
|
||||
ⅰ. filenode = file + path + st_mtime + metadata + list[FileEdge]
|
||||
ⅱ. graph=dict[str, filenode] 内存+json
|
||||
ⅲ. list[FileChunk] 存db
|
||||
b. 抽象基类
|
||||
ⅰ. graph：fellow dict的操作 update/get/set
|
||||
ⅱ. chunks dict[str, list[chunk]]
|
||||
1. delete_chunks_by_path
|
||||
2. update_chunks_by_path
|
||||
3. list_chunks_by_path
|
||||
4. vector_search/keyword_search
|
||||
ⅲ. 手写一个bm25检索
|
||||
ⅳ. 【核心】检索机制 vector bm25 graph 如何进行融合
|
||||
4. file_watcher @jinli
|
||||
a. 抽象基类
|
||||
ⅰ. on_start:
|
||||
1. file_store 的start 在前，加载graph，file_watcher在后，递归扫描目录
|
||||
a. 通过ms_time对比graph，on_change 进行改动
|
||||
ⅱ. on_change:
|
||||
1. 更新/增加:
|
||||
a. delete_chunks_by_path 更新数据库
|
||||
b. upate_chunks_by_path 更新数据库
|
||||
c. 更新graph
|
||||
2. 删除
|
||||
a. delete_chunks_by_path 更新数据库
|
||||
|
||||
MemorySchema
|
||||
|
||||
1. markdown文件结构 @sen
|
||||
a. formatter：
|
||||
ⅰ. name
|
||||
ⅱ. desc
|
||||
2. memory文件结构目录
|
||||
a. MEMORY.md
|
||||
b. msg/files -> daily/YYYYMMDD/YYYYMMDD.md + xxxx.md
|
||||
ⅰ. YYYYMMDD.md
|
||||
1. xxx -> xxxx.md
|
||||
2. xxx -> xxxd.md
|
||||
ⅱ.
|
||||
c. daily -> topic/topic_l1/topic_l1.md + xxx.md + topic_l2
|
||||
d. proactive
|
||||
|
||||
steps:
|
||||
|
||||
1. 治理（算法+LLM）：
|
||||
a. 节点关联P0：现有的链接做补充，挖掘新的LLM的link
|
||||
ⅰ. /Users/yuli/workspace/ReMe/reme2/component/edge_extractor/llm_edge_extractor.py
|
||||
ⅱ. 移动到steps
|
||||
b. 节点整合/节点拆分/节点归档
|
||||
c. 健康度检查
|
||||
2. retrieve 调用store的检索
|
||||
3. 原子steps：reme edit
|
||||
4. 组合steps：总结：
|
||||
a. - freq (every_n_turn、compact) -> daily_summarizer
|
||||
b. topic (/dream ) -> topic_summarizer(daily_xx -> topic_xx)
|
||||
c. proactive -> proactive_summarizer(personal_xxx -> proactive_query - pre_query
|
||||
|
|
@ -1,782 +0,0 @@
|
|||
# reme4 系统架构 — 设计文档
|
||||
|
||||
## 文档定位
|
||||
|
||||
本文档定义 reme4 的**架构设计**:概念边界、数据流契约、职责划分。
|
||||
|
||||
- 不涉及代码路径 / 实现进度 / API 具体形态
|
||||
- **执行栈与架构角色**(分层、模块切分、职责划分)在第 6-7 节;源码映射与落地状态见 `docs4/reme4_report.md` 与源码
|
||||
- 不规定怎么做,只规定**是什么、谁负责、输入输出**
|
||||
|
||||
> 阅读顺序:**第 1 节**给出完整的架构总览(数据视角 + 运行时视角 + 核心机制 + 不变量 + 导航);**第 2-5 节**逐层展开三层存储 / 6 类 L4 动作语义 / 反向回流 / 触发节奏;**第 6 节**描述底层执行栈(L0→L5);**第 7 节**把 6 类 Action 落到 L4 实现模块;**第 8 节**讲跨切面 schema 契约;**第 9 节**列出明确不属于本架构的反例。
|
||||
|
||||
---
|
||||
|
||||
## 1. 架构总览
|
||||
|
||||
本章给出 reme4 完整的设计骨架,后续 §2-§9 逐项展开细节。
|
||||
|
||||
### 1.1 解决什么问题
|
||||
|
||||
reme4 是 agent 的**长期记忆系统**。它把 agent 的工作过程沉淀为可检索、可演化的知识结构。
|
||||
|
||||
设计要解耦两件事:
|
||||
|
||||
| 关注点 | 由谁负责 |
|
||||
|---|---|
|
||||
| **agent 写什么 / 读什么** | agent 的工作流自决 |
|
||||
| **vault 自身如何健康演化** | reme 自治,agent 不感知 |
|
||||
|
||||
实现方式:三层存储拓扑为"两路并行写入(原始资料 / 任务过程) → 双源合流到沉淀知识层",reme 提供这三层的容器、动作语义、反向检索与自治维护。
|
||||
|
||||
### 1.2 数据视角:并行起点 + 双源合流 + 反向回流
|
||||
|
||||
数据有**两个并行起点** —— **External source**(webhook/upload/pull)与 **Agent**(外部主体,自身任务驱动)。两条独立通道各自落地到**并行的材料层**:External 经 `ingest` 沉到 `resource/`,Agent 经 `sync` 写到 `daily/`。两层材料**合流**到 `digest/`,由 reme 通过 `digest` 动作完成"消化"。`digest/` 自身由 `maintain` 做 in-place 重组。Agent 通过 `retrieve` 从 resource + daily + digest **三层并行**回流。`notify` 是 reme 跨过 vault 直接提醒 Agent 的**虚边**(控制信号,不写任何文件)。每段路径都对应一个 L4 动作语义(完整动作详见 §5.2 / §7):
|
||||
|
||||
| 路径 | L4 动作 | 说明 |
|
||||
|---|---|---|
|
||||
| External source → resource | **ingest** | 外部信源落到 vault |
|
||||
| External source ╌╌► Agent | **notify** | reme 推送通知(虚边,只走 L2 推送队列,不写文件) |
|
||||
| Agent → daily | **sync** | Agent 写 daily(响应 notify 或自身任务驱动) |
|
||||
| resource + daily → digest | **digest** | reme 内部 LLM 抽取沉淀(双源合流) |
|
||||
| digest → digest | **maintain** | reme 内部 LLM 折叠重组(in-place, fold-only) |
|
||||
| resource + daily + digest → Agent | **retrieve** | 三层并行回流(state / semantic / topological 三种正交问法) |
|
||||
|
||||
```
|
||||
notify(虚边,控制信号)
|
||||
External source ╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌► AGENT
|
||||
(webhook/upload/pull) (外部主体/自身任务)
|
||||
│ │ ▲
|
||||
│ ingest │ │ retrieve
|
||||
│ ┌────── sync ────────────────────-┘ │ (state /
|
||||
▼ ▼ │ semantic /
|
||||
┌──────────┐ ┌──────────┐ │ topological)
|
||||
│resource/ │ │ daily/ │ │
|
||||
│ 原始资料 │ │任务工作区 │───────── retrieve ─────────────┤
|
||||
│ 不可变 │ │ 半可变 │ │
|
||||
└───┬──┬───┘ └────┬─────┘ │
|
||||
│ │ │ │
|
||||
│ │ digest digest │ │
|
||||
│ └────────┐ ┌────┘ │
|
||||
│ ▼ ▼ │
|
||||
│ ┌────────────────────┐ │
|
||||
│ │ digest/ │ ◄──╮ │
|
||||
│ │ 沉淀知识 │ │ maintain │
|
||||
│ │ 可重组(语义索引) │ ───╯ (in-place, fold-only) │
|
||||
│ └──────────┬─────────┘ │
|
||||
│ │ retrieve │
|
||||
│ └─────────────────────────────────────-─┤
|
||||
│ │
|
||||
│ retrieve │
|
||||
└──────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
**模型要点**:
|
||||
|
||||
- **两个起点平行,不存在主从** —— External 与 Agent 各自独立驱动;Agent 既可响应 `notify` 也可由自身任务直接 `sync`。
|
||||
- **两层材料平行,不存在传递** —— resource 与 daily 是**两条独立的写入通道**,不互相穿越:Agent 不写 resource,ingester 不写 daily。
|
||||
- **digest 是双源合流的产物** —— `digest` 动作的输入是 resource + daily 的组合(不是仅 daily);相应地,digest 节点的 provenance 可同时指向 resource 与 daily。
|
||||
- **digest 自循环** —— `maintain` 在 digest 内部做密度折叠,不与上游材料层交互。
|
||||
- **notify 是虚边** —— reme 用它提醒 Agent "有新 resource 值得看",但不落任何文件;Agent 的响应通过 `sync` 落 daily(并可选地用 wikilink 引 resource)。
|
||||
|
||||
retrieve 三种问法正交:
|
||||
|
||||
| 问法 | 工具 | 主要看哪层 |
|
||||
|---|---|---|
|
||||
| **state**(谁在 / 是什么状态) | `list` / `frontmatter` | 各层平等 |
|
||||
| **semantic**(我想到一个意思) | `search` | digest > daily > resource(默认权重) |
|
||||
| **topological**(从一个点向外摸) | `traverse` | 沿 wikilink 跨层平等 |
|
||||
|
||||
### 1.3 运行时视角:六层执行栈 + 双进程
|
||||
|
||||
reme4 的功能不是堆在一层,而是从文件系统底层往上栈式堆叠。顶层 Service 与 Runtime 是同一套 vault 上的两个进程角色,共享 L0-L4 全栈(详见 §5.3 / §6)。
|
||||
|
||||
```
|
||||
┌─────────────────────┐ ┌─────────────────────┐
|
||||
│ L5 Service │ │ L5 Runtime │
|
||||
│ (HTTP / MCP) │ │ (scheduler 自治) │
|
||||
└──────────┬───────────┘ └──────────┬──────────┘
|
||||
│ │
|
||||
└─────────────┬────────────────┘
|
||||
▼
|
||||
┌──────────────────────────────────────────────────┐
|
||||
│ L4 6 类 Action(动作语义) │
|
||||
│ ingest notify sync retrieve digest maintain│
|
||||
└──────────────────────┬───────────────────────────┘
|
||||
▼
|
||||
┌──────────────────────────────────────────────────┐
|
||||
│ L3 原子工具 │
|
||||
│ ┌─────────────────────┐ ┌──────────────────┐ │
|
||||
│ │ 基础工具 │ │ 高级工具 │ │
|
||||
│ │ create/append/edit/ │ │ search │ │
|
||||
│ │ read/write/move/ │ │ traverse │ │
|
||||
│ │ delete/list/stat │ │ frontmatter │ │
|
||||
│ └──────────┬──────────┘ └────────┬─────────┘ │
|
||||
└─────────────│──────────────────────│─────────────┘
|
||||
│ 直读 / 直写 │ 走索引读
|
||||
│ (eventual,有滞后) │
|
||||
│ ▼
|
||||
│ ┌────────────────────────────┐
|
||||
│ │ L2 文件状态 │
|
||||
│ │ · file_store(chunk+vec) │
|
||||
│ │ · file_graph(node+link) │
|
||||
│ │ · 自治状态(scheduler 用): │
|
||||
│ │ - resource: 入流批次/ │
|
||||
│ │ 未消化(orphan) │
|
||||
│ │ - daily: 任务索引 │
|
||||
│ │ (进行中/stale/完成) │
|
||||
│ │ - digest: 密度水位/ │
|
||||
│ │ 断链(broken wikilink) │
|
||||
│ │ · 推送队列(notify): │
|
||||
│ │ pending/notified/ │
|
||||
│ │ acknowledged │
|
||||
│ └─────────────▲──────────────┘
|
||||
│ │ 派生 / 更新
|
||||
│ ┌─────────────┴──────────────┐
|
||||
│ │ L1 file_watcher │
|
||||
│ │ fs event → state delta │
|
||||
│ │ (唯一 fs→state 桥) │
|
||||
│ └─────────────▲──────────────┘
|
||||
│ │ 监听
|
||||
▼ │
|
||||
┌──────────────────────────────────────────────────┐
|
||||
│ L0 vault 文件系统 │
|
||||
│ resource/ daily/ digest/ │
|
||||
└──────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
Service 与 Runtime 是同一份 vault 上的两个进程角色:
|
||||
|
||||
| 进程 | 触发源 | 时延敏感 | 典型动作 |
|
||||
|---|---|---|---|
|
||||
| **Service** | 外部 push / 外部 pull / agent 同步请求 / **MCP 推送通道** | 是 | ingest / sync / retrieve / **notify-out(MCP)** |
|
||||
| **Runtime** | scheduler 周期 + L2 自治状态阈值 | 否(eventual) | **notify 决策** / digest / maintain |
|
||||
|
||||
### 1.4 核心机制总览
|
||||
|
||||
| 机制 | 一句话 | 详见 |
|
||||
|---|---|---|
|
||||
| 三层存储 | resource(冷) / daily(温) / digest(冷,组织化) | §2 |
|
||||
| 6 类 L4 动作 | ingest / notify / sync / retrieve / digest / maintain | §1.2 / §3 |
|
||||
| notify+sync 链 | reme 主动从 L2 资源自治状态选候选,经 MCP 推给 agent;agent sync 落 daily | §3.3-3.4 / §7.1 |
|
||||
| 反向 retrieval | state / semantic / topological 三种正交问法 | §4 |
|
||||
| 触发四源 | 外部 push / 外部 pull / agent on-demand / reme 后台 | §5.1-§5.2 |
|
||||
| Service + Runtime | 双进程角色,共享 L0-L4,职责按时延分 | §5.3 |
|
||||
| 执行栈(L0-L5) | filesystem → file_watcher → 文件状态 → 原子工具 → Action → Service/Runtime | §6 |
|
||||
| 原子工具:基础 vs 高级 | 基础直 fs;高级走 L2 索引(eventual) | §6.4 / §5.5 |
|
||||
| Action 模块映射 | 6 类 Action 由 5 个模块实现(retrieve 直走原子工具) | §7 |
|
||||
| Schema 跨切面 | name+description 是核心强约束,其余 opinionated default 可重载 | §8 |
|
||||
|
||||
### 1.5 核心不变量速览
|
||||
|
||||
写入拓扑(架构脊梁,来自 §2.3):两路并行写入(External→resource、Agent→daily)→ 双源合流到 digest;resource 与 daily 之间互不写入;任何一层都不能反向改写它的上游。
|
||||
|
||||
| 不变量 | 内容 | 来源 |
|
||||
|---|---|---|
|
||||
| **I-1** | agent 不直接写 digest(digest 写权只属 dreamer / maintainer) | §2.4 |
|
||||
| **I-2** | daily folder 单作者(同 folder 不并发改) | §2.4 |
|
||||
| **I-3** | resource 内容不可变,只允许 metadata appendable | §2.4 |
|
||||
| **I-4** | 三层共用同一套 wikilink 索引,跨层引用全靠 wikilink | §2.4 |
|
||||
| **R-1** | retrieve 三种问法分立,不合并为单一 read verb | §4.3 |
|
||||
| **M-1** | Maintainer 只做一件事:密度折叠(把碎片叶子折叠到新的中间节点下) | §7.3 |
|
||||
| **F-1** | L1 `file_watcher` 是 L0→L2 的唯一派生桥 | §6.5 |
|
||||
| **F-2** | L3 基础工具直接读写 L0;高级工具只走 L2 | §6.5 |
|
||||
| **F-5** | L5 Service / Runtime 共享 L0-L4,不直接通信 | §6.5 |
|
||||
| **F-6** | L0↔L2 存在 eventual 窗口,agent 上下文承担近期信息 | §5.5 / §6.5 |
|
||||
|
||||
### 1.6 文档导航
|
||||
|
||||
| 想了解… | 看 |
|
||||
|---|---|
|
||||
| 三层各自的定位、不变量 | §2 |
|
||||
| 6 类 L4 动作语义(notify / sync / digest / maintain 的输入产出不变量) | §3 |
|
||||
| Retrieval 的三种问法与跨层语义 | §4 |
|
||||
| 谁来触发、什么节奏、为什么分两个进程 | §5 |
|
||||
| 系统从文件系统到 Service 的分层(底层基础) | §6 |
|
||||
| L4 五个模块的对称结构与 Maintainer 折叠设计 | §7 |
|
||||
| Schema 协议与重载机制 | §8 |
|
||||
| 哪些设计不属于本架构(反例与边界) | §9 |
|
||||
| 术语回查 | 附录 |
|
||||
|
||||
---
|
||||
|
||||
## 2. 三层存储
|
||||
|
||||
### 2.1 一句话定位
|
||||
|
||||
| 层 | 一句话 |
|
||||
|---|---|
|
||||
| **resource/** | 外部原始资料的**不可变快照**。reme 是容器,不是作者。 |
|
||||
| **daily/** | agent 的**任务工作区**。folder 是单位,以"日 + 任务"为索引。 |
|
||||
| **digest/** | 跨任务沉淀的**有组织知识**。以语义(概念/实体/方法)为索引,与时间无关。 |
|
||||
|
||||
### 2.2 五维度对照
|
||||
|
||||
| 维度 | resource/ | daily/ | digest/ |
|
||||
|---|---|---|---|
|
||||
| **组织主轴** | 时间(`<date>/<name>`) | 时间 + 任务(`<date>/<slug>/`) | 语义(`<slug>/<subslug>/...`,任意嵌套) |
|
||||
| **写权归属** | 入流通道唯一(webhook / upload / pull) | agent(写入任务过程) | dreamer / maintainer(无 agent 直写) |
|
||||
| **可变性** | 不可变,只追加新文件 | folder 内可反复更新 | 单节点可演化,可被合并/拆分/移动 |
|
||||
| **不变量** | 写入即冻结,原文永不变 | folder 名 = summary note 名(可移动单元);同 slug 同日只一份 | slug 全局唯一;每 folder 有 canonical entry;wikilink 全路径 |
|
||||
| **谁在用** | agent(查原文)、dreamer(双源输入之一) | agent(自己的工作记录)、dreamer(双源输入之一) | agent(召回主目标)、maintainer(自维护对象) |
|
||||
|
||||
### 2.3 写入纪律:并行写入 + 双源合流
|
||||
|
||||
```
|
||||
External source Agent
|
||||
│ │
|
||||
│ ingest │ sync
|
||||
▼ ▼
|
||||
┌──────────┐ ┌──────────┐
|
||||
│resource/ │ │ daily/ │
|
||||
│ 不可变 │ │ 半可变 │
|
||||
│(ingester)│ │ (agent) │
|
||||
└─────┬────┘ └─────┬────┘
|
||||
│ │
|
||||
│ digest digest │
|
||||
└──────────────┐ ┌─────────────┘
|
||||
▼ ▼
|
||||
┌──────────────┐ ◄──╮
|
||||
│ digest/ │ │ maintain
|
||||
│ 可重组 │ ────╯ (in-place,
|
||||
│ (dreamer + │ fold-only)
|
||||
│ maintainer) │
|
||||
└──────────────┘
|
||||
```
|
||||
|
||||
写权按这个**两层并行 → 单层合流**的拓扑分配:resource 写权专属 ingester(外部入流通道),daily 写权专属 agent(sync 落入,可响应 notify 或自身任务驱动),digest 写权专属 dreamer + maintainer。**resource 与 daily 之间互不写入**(agent 不动 resource,ingester 不动 daily);任何一层都不能反向改写它的上游。这是整个架构的脊梁。
|
||||
|
||||
### 2.4 不变量(永远成立)
|
||||
|
||||
| # | 不变量 | 否则后果 |
|
||||
|---|---|---|
|
||||
| **I-1** | agent 不直接写 digest | digest 的"有组织"性失守,沉淀质量退化 |
|
||||
| **I-2** | daily folder 单作者(同 folder 不并发改) | 任务边界模糊,sync/digest 竞态 |
|
||||
| **I-3** | resource content immutable,只允许 metadata appendable | 原文可能消失/被覆写,citation 不可信 |
|
||||
| **I-4** | 三层共用同一套 wikilink 索引,跨层引用全靠 wikilink | 引入第二套引用机制 → 索引重建复杂 / 跨层关系不可达 |
|
||||
|
||||
---
|
||||
|
||||
## 3. L4 动作语义详解
|
||||
|
||||
§1.2 给出了 6 个 L4 动作在数据视角下的整体形态。本节按动作逐个展开输入 / 产出 / 不变量 / 反例。`ingest`(外部→resource,机械)和 `retrieve`(三层并行回流,只读)分别在 §5/§7.4 与 §4 详述,本节聚焦四个**写动作**:`notify` / `sync` / `digest` / `maintain`。
|
||||
|
||||
### 3.1 统一原则
|
||||
|
||||
四个写动作都遵守:
|
||||
|
||||
| 原则 | 内容 |
|
||||
|---|---|
|
||||
| **Monotonic content** | 上游内容不可变,下游只能新建节点或加链接,不能改写上游 |
|
||||
| **Provenance 必须可达** | 任何下游节点必须能通过 wikilink 反查到上游来源 |
|
||||
| **Wikilink 是新结构的唯一载体** | 跨层关系靠 wikilink,不靠内容拷贝 |
|
||||
|
||||
它们都不是"数据搬家",而是"在下游新生成有引用关系的节点"。
|
||||
|
||||
### 3.2 四个写动作的本质对照
|
||||
|
||||
| 动作 | 上游 → 下游 | 性质 | 上游变化 | 下游变化 |
|
||||
|---|---|---|---|---|
|
||||
| **notify** | resource → Agent | **Attention**(推送注意力) | 不变 | 不写 vault;仅入 L2 推送队列 |
|
||||
| **sync** | Agent → daily | **Reference**(引用落地) | 不变 | daily 中新增工作记录 + 对 resource 的 wikilink |
|
||||
| **digest** | resource + daily → digest | **Crystallize**(双源合流结晶) | 不变 | digest 新增节点,wikilink 反指上游来源(daily 与/或 resource) |
|
||||
| **maintain** | digest → digest | **Reorganize**(重组) | 结构变,内容守恒 | fold-only:引入子中间节点搬叶子,改变拓扑 |
|
||||
|
||||
> `notify` 与 `sync` 共同实现"resource 中的候选被 Agent 看见并织入 daily"这条**Reference 链**;它们是两个独立的 L4 动作,主体不同(notify 由 Reme 自治触发,sync 由 Agent 触发)。
|
||||
|
||||
### 3.3 notify:reme → Agent 推送候选
|
||||
|
||||
| 维度 | 内容 |
|
||||
|---|---|
|
||||
| 主体 | Reme Runtime(`notifier` 模块) |
|
||||
| 输入 | L2 资源自治状态:orphan(无 inbound wikilink)/ 入流批次 / 未消化老于 N |
|
||||
| 产出 | L2 推送队列条目;通过 Service MCP **server-initiated notification** 推到 Agent;**不写任何 vault 文件** |
|
||||
| 不变量 | resource 原文 0 修改;**完全单向**,不维护任何反向元数据;`notify` 决策在 Runtime,Service 只作 MCP transport |
|
||||
| Acknowledge 机制 | L1 watcher 检测到 daily→resource 新 wikilink → L2 推送状态 `notified` → `acknowledged`,避免重复推送 |
|
||||
| 反例 | (a) Service 自决推什么 notify(✗-17);(b) notify 写入 vault(✗-16);(c) Agent 主动调 notify(✗-18) |
|
||||
|
||||
### 3.4 sync:Agent → daily 落地
|
||||
|
||||
| 维度 | 内容 |
|
||||
|---|---|
|
||||
| 主体 | Agent(`synchronizer` 模块在 Service 内编排) |
|
||||
| 输入 | Agent 当前事件流(响应 `notify` 的候选,**或**自身任务直接驱动) |
|
||||
| 产出 | daily folder 内的工作叙事;可选地用全路径 wikilink 引 resource(agent 自决,reme 不强制) |
|
||||
| 不变量 | resource 原文 0 修改;daily 单作者(I-2);folder 名 = summary note 名(可移动单元) |
|
||||
| Provenance | daily → resource 可达(通过 daily body 中的 wikilink) |
|
||||
| 反例 | "agent 把 resource 内容拷进 daily" —— 不允许,daily 只持有引用 + 自己的工作记录 |
|
||||
|
||||
### 3.5 digest:resource + daily → digest 双源合流结晶
|
||||
|
||||
| 维度 | 内容 |
|
||||
|---|---|
|
||||
| 主体 | Reme Runtime(`dreamer` 模块,LLM-driven) |
|
||||
| 输入 | 一组待蒸馏的 daily folder + 相关 resource(双源合流;通常以 daily 任务为线索,顺着 wikilink / 同主题搜索拉入相关 resource 原文) |
|
||||
| 产出 | digest 中 0~N 个新节点 或 已有节点的更新;新节点必须用 wikilink 反指至少一个上游来源 |
|
||||
| 不变量 | resource / daily 正文 0 修改;digest 新节点必须 wikilink 反指上游(provenance);digest 节点遵守第 2.4 节列的不变量 |
|
||||
| Provenance | digest → daily / resource 双源链条可达(资料源是 resource 时直接反指,任务过程是 daily 时反指 daily 进而可达 resource) |
|
||||
| 反例 | dreamer 改写 resource;dreamer 改写 daily 正文 |
|
||||
|
||||
### 3.6 maintain:digest → digest 折叠
|
||||
|
||||
| 维度 | 内容 |
|
||||
|---|---|
|
||||
| 主体 | Reme Runtime(`maintainer` 模块,LLM-driven,**fold-only**) |
|
||||
| 输入 | digest/ 当前整体状态 |
|
||||
| 产出 | 同一 digest/ 树的**密度折叠**(fold):某中间节点下叶子过多时,引入子中间节点把相关叶子归簇 + 写"高密度摘要" |
|
||||
| 不变量 | 树**只向下生长**(从不反向);叶子内容 0 修改,只被搬位置;新中间节点 = 一个高密度摘要文件;任何节点移动**原子重写所有入边**(retarget);slug 全局唯一在折叠后仍成立 |
|
||||
| Provenance | digest → daily 的反指链接在折叠后仍有效(retarget 保证) |
|
||||
| 反例 | merge / move / promote / demote 等改写既有拓扑的操作;改写既有叶子内容 |
|
||||
|
||||
> 折叠操作的承诺与决策点见 §7.3。
|
||||
|
||||
### 3.7 链接重定向例外
|
||||
|
||||
`maintain` 的 retarget 会改写其它节点中指向被移动节点的 wikilink。从字面看,这违反了"上游内容不可变"。
|
||||
|
||||
实际上这是 wikilink 系统的**机械性副作用**,不算下游写上游:
|
||||
|
||||
| 字面 | 实质 |
|
||||
|---|---|
|
||||
| daily 里的 `[[digest/old.md]]` 被改成 `[[digest/new.md]]` | 作者意图("我引用了 X 这个 digest 节点")没变,只是 X 的物理位置变了 |
|
||||
|
||||
只要 retarget 保持 wikilink 的**目标语义不变**,就允许它作为机械维护副作用穿越层界。这是这条规则的唯一例外。
|
||||
|
||||
---
|
||||
|
||||
## 4. Retrieval 反向回流
|
||||
|
||||
Retrieval 是把 §3 几条正向写动作反着读:agent 站在结果端,沿 wikilink 反查源头。
|
||||
|
||||
### 4.1 三种问法
|
||||
|
||||
按 agent 意图分,有三类完全不同的读需求,**正交**,各自独立:
|
||||
|
||||
| 问法 | 例子 | 本质 |
|
||||
|---|---|---|
|
||||
| **状态问** (State) | "我有哪些 in-progress 的任务?""哪些 resource 还没被引用?" | 在某层做 list + frontmatter 过滤 |
|
||||
| **语义问** (Semantic) | "关于 auth 重构我知道什么?" | 跨层全文/向量检索 |
|
||||
| **拓扑问** (Topological) | "auth 概念周围都连了什么?" | 从某节点沿 wikilink 走 |
|
||||
|
||||
### 4.2 三层 × 三问法 矩阵
|
||||
|
||||
| 问法 | resource/ | daily/ | digest/ |
|
||||
|---|---|---|---|
|
||||
| **状态问** | "未处理 resource 清单" | "active / pending-digest 清单" | "孤儿节点 / canonical 缺失 清单"(给 maintain 用) |
|
||||
| **语义问** | 兜底(原文,信噪比低) | 次优(最新,但未沉淀) | **首选**(沉淀过,信噪比高) |
|
||||
| **拓扑问** | 通常是叶子(被指向) | daily → resource / digest | digest 内部连接最密 |
|
||||
|
||||
### 4.3 设计原则
|
||||
|
||||
| # | 原则 | 含义 |
|
||||
|---|---|---|
|
||||
| **R-1** | 三种问法分立,不合并为单一 "read" verb | 不同问法的索引、过滤、排序逻辑完全不同 |
|
||||
| **R-2** | 语义问的默认权重 `digest > daily > resource`,**可被显式覆盖** | 默认体现"沉淀质量",但 agent 可指定单层或调权 |
|
||||
| **R-3** | 拓扑问与层无关 | traverse 沿 wikilink 走,天然跨三层(I-4) |
|
||||
| **R-4** | Provenance expansion 默认 lazy,eager 是上层便利封装 | 原子 retrieval 不自动展开;agent 需要时再 traverse |
|
||||
| **R-5** | Cold start 不是新的 retrieval mode | 只是状态问 + 语义问的组合,reme 不为它单设 verb |
|
||||
|
||||
### 4.4 在主干图里的位置
|
||||
|
||||
Retrieval 不引入新存储,不引入新层。它是 **agent 与三层存储之间的读视图**,通过三种正交问法暴露,共享同一套 wikilink 索引(I-4)。
|
||||
|
||||
---
|
||||
|
||||
## 5. 节奏与触发
|
||||
|
||||
锁定"谁推动每个动作发生"。这一步定 reme 是纯被动 service 还是带后台 runtime。
|
||||
|
||||
### 5.1 触发源四分类
|
||||
|
||||
| 触发源 | 性质 | 例子 |
|
||||
|---|---|---|
|
||||
| **External push** | 外部事件主动推 | webhook / 用户 upload |
|
||||
| **External pull** | reme 主动去外部拉 | scheduled fetcher(RSS / 邮件 / API 轮询) |
|
||||
| **Agent on-demand** | agent 在请求里显式调用 | "sync 我的对话" / "搜 X" |
|
||||
| **Reme background** | reme 自己的 watcher / scheduler | file_watcher / cron-like |
|
||||
|
||||
### 5.2 六个动作的触发归属
|
||||
|
||||
| 动作 | 主触发 | 备用触发 | 备注 |
|
||||
|---|---|---|---|
|
||||
| **ingest** | External push / pull | — | 外部→resource,机械 |
|
||||
| **notify** | **Reme background**(cron + L2 资源自治状态阈值) | — | Runtime 决策,Service MCP 推送 |
|
||||
| **sync** | Agent on-demand | — | agent→daily;notify 的响应也走这里 |
|
||||
| **digest** | **Reme background** | Agent 显式(后门) | resource + daily 双源合流到 digest |
|
||||
| **maintain** | **Reme background**(cron + threshold) | Agent / 人工 显式(后门) | digest 内部折叠 |
|
||||
| **retrieve** | Agent on-demand | — | 三层只读 |
|
||||
|
||||
**关键定性**:`notify` / `digest` / `maintain` 三个 reme 自治动作的主控制权**在 reme,不在 agent**。Agent 只负责"响应 notify + 写 daily(响应或自身任务驱动)+ 主动读";不需要记得"该看哪些 resource""该蒸了""该整理了"。
|
||||
|
||||
### 5.3 Service + Runtime 双进程结构
|
||||
|
||||
把 5.2 的归属直接推出 reme 的基本架构。两进程共享 L0-L4 全栈,只在 L5(进程入口)分叉:
|
||||
|
||||
```
|
||||
┌──────────────────────────────────────────────────────────┐
|
||||
│ Reme System │
|
||||
│ │
|
||||
│ ┌────────────────────┐ ┌────────────────────────┐ │
|
||||
│ │ L5 Service │ │ L5 Runtime │ │
|
||||
│ │ (HTTP / MCP) │ │ (scheduler 自治) │ │
|
||||
│ │ 服务 agent 请求: │ │ 服务 vault 健康: │ │
|
||||
│ │ · ingest │ │ · notify(决策) │ │
|
||||
│ │ · sync │ │ · digest │ │
|
||||
│ │ · retrieve │ │ · maintain │ │
|
||||
│ │ · notify(MCP 推送)│ │ │ │
|
||||
│ └─────────┬──────────┘ └───────────┬────────────┘ │
|
||||
│ │ │ │
|
||||
│ └──────────────┬───────────────┘ │
|
||||
│ ▼ │
|
||||
│ ┌──────────────────────────────────────────────────┐ │
|
||||
│ │ L4 Action / L3 原子工具 │ │
|
||||
│ │ Action 编排 → 基础工具 + 高级工具 │ │
|
||||
│ └──────────────────────┬───────────────────────────┘ │
|
||||
│ ▼ │
|
||||
│ ┌──────────────────────────────────────────────────┐ │
|
||||
│ │ L2 文件状态(file_store + file_graph + 自治) │ │
|
||||
│ └──────────────────────▲───────────────────────────┘ │
|
||||
│ │ 派生 │
|
||||
│ ┌──────────────────────┴───────────────────────────┐ │
|
||||
│ │ L1 file_watcher(fs → state 的唯一桥) │ │
|
||||
│ └──────────────────────▲───────────────────────────┘ │
|
||||
│ │ 监听 │
|
||||
│ ┌──────────────────────┴───────────────────────────┐ │
|
||||
│ │ L0 vault filesystem │ │
|
||||
│ │ resource/ daily/ digest/ │ │
|
||||
│ └──────────────────────────────────────────────────┘ │
|
||||
└──────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
两进程职责正交、共享 L0-L4 基础设施(详见 §6):
|
||||
|
||||
| 维度 | L5 Service | L5 Runtime |
|
||||
|---|---|---|
|
||||
| 触发方式 | 请求-响应 + MCP server-initiated 推送 | 周期 + L2 自治状态阈值 |
|
||||
| 服务对象 | agent | vault 自身 |
|
||||
| 暴露给 agent | 是 | 否(agent 不感知) |
|
||||
| 主要动作 | ingest / sync / retrieve / **notify 推送通道**(MCP) | **notify 决策** / digest / maintain |
|
||||
| 与对端的耦合 | 通过 L2 推送队列读 notifier 产出 | 通过 L2 推送队列写,**不直接调 Service** |
|
||||
|
||||
### 5.4 节奏(latency tolerance)
|
||||
|
||||
| 动作 | 节奏 | latency 容忍 |
|
||||
|---|---|---|
|
||||
| retrieve | request-driven | sub-second |
|
||||
| ingest | event-driven | seconds |
|
||||
| sync | agent on-demand | seconds |
|
||||
| **notify** | reactive(L2 资源状态变化后) | seconds ~ minutes |
|
||||
| digest | reactive(状态变化后) | minutes ~ hours(eventual consistency) |
|
||||
| maintain | periodic | days(无紧迫) |
|
||||
|
||||
实时性需求差三个数量级。这是 digest / maintain 必须放后台异步的根本原因 —— 不能阻塞 agent 的 retrieve / sync 请求。
|
||||
|
||||
### 5.5 排序约束与一致性模型
|
||||
|
||||
部分动作对**不能并发**,background runtime 内部要保证排序:
|
||||
|
||||
| 约束 | 原因 |
|
||||
|---|---|
|
||||
| **sync(同一 daily)→ digest(同一 daily)** | digest 不能看到 sync 半成品 |
|
||||
| **digest(同一 scope)→ maintain(同一 scope)** | maintain 重组的拓扑不应被 digest 中途插入 |
|
||||
|
||||
ingest / retrieve 跟所有动作都可并发(纯入流 + 纯读)。
|
||||
|
||||
**一致性模型 = Eventual consistency on digest/maintain**。Agent 不能依赖"我刚写完 daily 就能查到对应 digest"。digest / maintain 都是后台异步,有可见的延迟窗口。
|
||||
|
||||
**watcher 滞后契约(L0 ↔ L2)**:基础工具直接写 L0 文件系统,L2 文件状态由 L1 file_watcher 派生,二者之间存在 eventual 窗口 —— 写完一份 daily 后,search / traverse 这类走 L2 索引的高级工具不一定立刻能看到。这是设计意图,不是 bug:agent 本身有上下文窗口,近期信息靠 agent 自带的对话上下文承接,不依赖 reme 索引立即可见。需要"写后立刻可读"的场景请用基础工具(read 直接读 fs)。
|
||||
|
||||
---
|
||||
|
||||
## 6. 执行栈:六层结构
|
||||
|
||||
L3 原子工具、L4 Action、L5 进程都不直接操作文件系统。它们坐在 L0-L2 的**底层基础**上 —— 这套基础是 reme 的"动力源",决定了为什么上层能解耦成 Service + Runtime 两进程,且两者既正交又共享状态。
|
||||
|
||||
### 6.1 概念分层(L0 → L5)
|
||||
|
||||
```
|
||||
┌──────────────────────────────────────────────────────────┐
|
||||
│ L5 Service ‖ Runtime │
|
||||
│ 进程入口:Service 服务 agent;Runtime 自治维护 │
|
||||
├──────────────────────────────────────────────────────────┤
|
||||
│ L4 Action(6 类动作语义) │
|
||||
│ ingest / notify / sync / retrieve / digest / maintain │
|
||||
├──────────────────────────────────────────────────────────┤
|
||||
│ L3 原子工具 │
|
||||
│ 基础工具(直接 fs) + 高级工具(走 L2 索引) │
|
||||
├──────────────────────────────────────────────────────────┤
|
||||
│ L2 文件状态 │
|
||||
│ file_store + file_graph + 自治状态(scheduler 用) │
|
||||
├──────────────────────────────────────────────────────────┤
|
||||
│ L1 file_watcher │
|
||||
│ fs event → state delta(唯一 fs→state 桥) │
|
||||
├──────────────────────────────────────────────────────────┤
|
||||
│ L0 vault filesystem │
|
||||
│ resource/ + daily/ + digest/ │
|
||||
└──────────────────────────────────────────────────────────┘
|
||||
|
||||
数据流(主要关系):
|
||||
· L3 基础工具 ──写──► L0
|
||||
· L3 基础工具 ──读──► L0(无需经 L2)
|
||||
· L0 变化 ──► L1 监听到 ──派生──► L2 state delta
|
||||
· L3 高级工具 ──读──► L2(走索引)
|
||||
· L4 Action ──编排──► L3 工具组合
|
||||
· L5 进程 ──触发──► L4 Action
|
||||
```
|
||||
|
||||
| 层 | 角色 | 关键约束 |
|
||||
|---|---|---|
|
||||
| L0 | vault 文件系统 | 唯一真相源;任何 L2 状态都可由 reindex 从 L0 重建 |
|
||||
| L1 | `file_watcher` | **唯一**与 fs 事件直接耦合的组件;fs→state 的唯一派生桥 |
|
||||
| L2 | 文件状态(`file_store` + `file_graph` + 自治状态) | 高级工具的读视图;由 L1 单向更新,L3+ 只读不写 |
|
||||
| L3 | 原子工具(基础 / 高级) | 基础直读写 L0;高级只走 L2 |
|
||||
| L4 | Action(6 类语义动作) | N:M 编排 L3 工具;不直接碰 L0 / L2 |
|
||||
| L5 | Service / Runtime 进程 | 共享 L0-L4 全栈,**不直接通信**,只通过 L0 / L2 状态间接耦合 |
|
||||
|
||||
### 6.2 L1 file_watcher:fs → state 的唯一桥
|
||||
|
||||
`file_watcher` 是 reme 唯一与 OS filesystem 事件直接耦合的组件。它把 fs 变化翻译为 L2 文件状态的 delta,承担**双重职责**:
|
||||
|
||||
```
|
||||
filesystem events (create / modify / move / delete)
|
||||
│
|
||||
▼
|
||||
file_watcher ─┬─► 索引同步:写完文件,L2 file_store/file_graph 自动更新
|
||||
│ (L3 基础工具不需要显式调用"入索引")
|
||||
│
|
||||
└─► 自治状态派生:维护 scheduler 用的可推导状态
|
||||
· resource: 入流批次 / 未消化(orphan) /
|
||||
推送状态(pending/notified/acknowledged)
|
||||
· daily: 任务索引(进行中 / stale / 完成)
|
||||
· digest: 密度水位 / 断链(broken wikilink)
|
||||
```
|
||||
|
||||
**关键设计**:可派生的状态由 watcher 在外部索引中维护,**不写回 frontmatter**。L3 工具只管写内容文件,状态由 watcher 独立派生。这是 ✗-14 反例(L3 写 `status` 字段)成立的基础。
|
||||
|
||||
**Acknowledge 派生例**:`notify` 的"推送状态"由 watcher 维护 —— 当 watcher 检测到一条新 wikilink 从 daily 指向某 resource,即把该 resource 的推送状态从 `notified` 改为 `acknowledged`。notifier / Service 都不需要显式 ack。
|
||||
|
||||
### 6.3 L2 文件状态
|
||||
|
||||
| 组件 | 职责 | 由谁更新 |
|
||||
|---|---|---|
|
||||
| `file_store` | chunk 分块 + 向量持久化,提供 search / read API | L1 watcher 派生 |
|
||||
| `file_graph` | wikilink 有向图,提供 upsert / traverse(双向)API | L1 watcher 派生 |
|
||||
| **自治状态** | scheduler 自治决策的输入(入流批次 / 任务索引 / 密度水位 / 断链) | L1 watcher 派生 |
|
||||
| **推送队列** | `notify` 的待推送 / 已推送 / 已确认条目 | notifier 写 pending;Service 推送后置 notified;L1 watcher 检测到 ack 后置 acknowledged |
|
||||
|
||||
L2 只关心"vault 当前是什么样",**无业务语义** —— 不知道 daily / digest / 动作语义的存在。L3+ 只读 L2,不写(**例外**:notifier 写推送队列,这是 Runtime 与 Service 之间唯一的间接耦合通道,见 F-5)。
|
||||
|
||||
> **现状提示**:当前实现中 file_store / file_graph 之外的"自治状态"和"推送队列"尚不完整,这是 L1 watcher 与 notifier 待补齐的能力。完整化后 scheduler 才能从"周期扫描"切换为"事件驱动",`notify` 才能从隐式变为显式。
|
||||
|
||||
### 6.4 L3 原子工具:基础 vs 高级
|
||||
|
||||
两组工具的切分依据只有一条:**是否必须经过 L2 索引**。
|
||||
|
||||
| 组别 | 工具 | 数据通路 | 一致性 |
|
||||
|---|---|---|---|
|
||||
| **基础工具** | create / append / edit / read / write / move / delete / list / stat | 直接对接 L0 | 写后立即可读(同一工具) |
|
||||
| **高级工具** | search / traverse / frontmatter | 必须走 L2 索引 | 受 watcher 滞后影响(eventual) |
|
||||
|
||||
**写路径全部走基础工具**(L4 Action 编排基础工具完成写入)。高级工具是**只读**的索引查询入口。
|
||||
|
||||
**eventual 窗口**:基础工具写 L0 后,L2 索引由 L1 watcher 异步追平。在窗口内,高级工具看到的是滞后的视图。详见 §5.5"watcher 滞后契约"。
|
||||
|
||||
### 6.5 设计含义
|
||||
|
||||
| # | 不变量 | 推论 |
|
||||
|---|---|---|
|
||||
| **F-1** | L1 `file_watcher` 是 L0 → L2 的**唯一**派生桥 | 状态一致性是 L1 的事;L3 工具不要"自己更新索引" |
|
||||
| **F-2** | L3 基础工具直接读写 L0;L3 高级工具只走 L2 | 写路径无需"先 reindex";读路径接受 eventual |
|
||||
| **F-3** | L0 是唯一真相源 | 任何 L2 状态都可由 reindex 从 L0 重建,L2 是缓存而非数据库 |
|
||||
| **F-4** | L4 Action 与 L3 工具是 N:M 编排关系 | Action 不直接碰 L0 / L2 |
|
||||
| **F-5** | L5 Service 与 Runtime 共享 L0-L4 全栈,**不直接通信** | 只通过 L0 / L2 状态间接耦合;一边崩了不影响另一边的读 |
|
||||
| **F-6** | L0 与 L2 之间存在 eventual 窗口 | agent 上下文承担近期信息,不依赖 L2 立即可见(详见 §5.5) |
|
||||
|
||||
---
|
||||
|
||||
## 7. L4 Action 模块映射
|
||||
|
||||
第 5 节列了 6 类 Action 及其触发源,本节把这些 Action 落到 **L4 实现模块**(架构角色,不指代源码路径);触发机制(on-demand 路径与 background 路径)见 §5.3。
|
||||
|
||||
### 7.1 五个 L4 模块
|
||||
|
||||
| 模块 | 实现动作 | 触发 | LLM-driven | 单一职责 |
|
||||
|---|---|---|---|---|
|
||||
| **ingester** | ingest | External push / pull | × | 原样落 resource + 抽 frontmatter + 入索引 |
|
||||
| **notifier** | notify | Reme background(cron + L2 资源自治状态阈值) | × | 从 L2 资源自治状态选候选 → 写 L2 推送队列;Service MCP 拿走 |
|
||||
| **synchronizer** | sync | Agent on-demand | ✓ | 把当下事件织入 daily 工作叙事 |
|
||||
| **dreamer** | digest | Reme background | ✓ | resource + daily 双源合流成 digest 长期条目 |
|
||||
| **maintainer** | maintain | Reme background | ✓ | digest topic tree 的**密度折叠**(fold-only) |
|
||||
|
||||
`retrieve` 不构成独立 L4 模块,理由见 §7.4。
|
||||
|
||||
**三个 reme 自治模块**:notifier(机械)、dreamer(LLM)、maintainer(LLM)。三者都由 scheduler 触发,都消费 L2 自治状态,但只有 notifier 是机械的 —— 候选选择不需要 LLM,LLM 决策在 agent 侧的 sync。
|
||||
|
||||
### 7.2 对称结构
|
||||
|
||||
```
|
||||
跨表征层翻译 结构性纪律
|
||||
(LLM-driven) (机械)
|
||||
|
||||
Inbound: ingester
|
||||
Attention: notifier
|
||||
Working: synchronizer
|
||||
Sink: dreamer
|
||||
Organization: maintainer (fold-only)
|
||||
```
|
||||
|
||||
五类不同方向的"翻译":
|
||||
|
||||
| 模块 | 翻译方向 |
|
||||
|---|---|
|
||||
| ingester | 外部异构格式 → vault 统一文件 |
|
||||
| notifier | L2 资源自治状态 → agent 注意力(`notify` 推送) |
|
||||
| synchronizer | agent 事件流 → 工作过程叙事(写 hot) |
|
||||
| dreamer | 工作过程 + 原始资料 → 长期知识(双源合流,写 cold) |
|
||||
| maintainer | 散乱叶子 → 有层次的 topic tree(组织 cold) |
|
||||
|
||||
ingester 和 notifier 是机械(确定性阈值/流水线);其它三个是 LLM 决策模块,各自跨越一层语义鸿沟。
|
||||
|
||||
### 7.3 Maintainer:Topic Tree 密度折叠
|
||||
|
||||
`digest/` 整体视为一颗 **topic tree**:文件夹 = 中间节点,文件 = 叶子。Maintainer 唯一职责:随写入持续,某中间节点下叶子过密时,**折叠**为新的子中间节点 + 高密度摘要。
|
||||
|
||||
```
|
||||
触发前:某中间节点叶子过多 / 太碎
|
||||
digest/infra/
|
||||
├── logging.md
|
||||
├── tracing.md
|
||||
├── metrics.md
|
||||
├── alerting.md
|
||||
├── dashboards.md
|
||||
└── slo.md
|
||||
|
||||
折叠后:LLM 判断聚类,引入子中间节点 + 摘要
|
||||
digest/infra/
|
||||
├── observability/ ← 新中间节点
|
||||
│ ├── _index.md ← 新生成的高密度摘要
|
||||
│ ├── logging.md ← 内容不变,只搬位置
|
||||
│ ├── tracing.md
|
||||
│ ├── metrics.md
|
||||
│ ├── alerting.md
|
||||
│ ├── dashboards.md
|
||||
│ └── slo.md
|
||||
└── ...(未被折叠的叶子原位)
|
||||
```
|
||||
|
||||
**设计承诺**(在 `maintain` 通用不变量之上进一步收紧):
|
||||
|
||||
| # | 承诺 | 含义 |
|
||||
|---|---|---|
|
||||
| **M-1** | **Fold-only**,无 merge / move / promote / demote / introduce | 树只向下生长,从不反向 |
|
||||
| **M-2** | 叶子内容 0 修改,只被搬位置 | 与 `maintain` 内容守恒一致 |
|
||||
| **M-3** | 新中间节点带一个高密度摘要文件,读摘要就能决定要不要深入 | 折叠后可读性不降反升 |
|
||||
| **M-4** | 每次只处理一个候选节点 | 最小化变更面 |
|
||||
| **M-5** | 不能聚类时,**不动**(默认保守) | 宁可不折,不要错折 |
|
||||
|
||||
LLM 唯一的决策点:
|
||||
|
||||
1. 这些叶子能不能聚类(if not → 不动)
|
||||
2. 新中间节点叫什么、摘要怎么写
|
||||
|
||||
其它都机械:阈值判断(L1 file_watcher 派生 L2 自治状态提供信号)、移动文件(crud)、wikilink 重定向(graph/retarget)。
|
||||
|
||||
### 7.4 为什么没有 retriever 模块
|
||||
|
||||
L4 模块的存在条件 = "有跨原子编排 / 需要 LLM 决策"。Retrieve 不满足:
|
||||
|
||||
- 三种问法(state / semantic / topological)各自被 **L3 原子工具**直接覆盖(list+filter / search / traverse)
|
||||
- 没有跨原子状态、没有 LLM 决策点
|
||||
- Agent 直接调用 L3 原子即可
|
||||
|
||||
---
|
||||
|
||||
## 8. 跨切面:Schema
|
||||
|
||||
Schema(资料的 frontmatter / wikilink / 章节约定)是横跨三层、各写动作的共同契约。reme4 的核心立场:
|
||||
|
||||
| 立场 | 说明 |
|
||||
|---|---|
|
||||
| **reme 核心只保留 `name` / `description` 两个字段** | 其它都是 opinionated convention,服务消费层可以替换 |
|
||||
| **Schema 是"协议"不是"代码"** | 用 markdown 文字描述,LLM agent 自我约束;不内嵌 schema validator |
|
||||
| **三层共用同一套 wikilink 协议** | 全路径引用,无 short-link / no-ext 解析 |
|
||||
|
||||
### 8.1 协议文档(opinionated default)
|
||||
|
||||
| 内容 | 谁规定 |
|
||||
|---|---|
|
||||
| 目录结构(三层 + folder 单位) | 第 2 节本文档 |
|
||||
| 动作语义契约(notify / sync / digest / maintain 的输入产出不变量) | 第 3 节本文档 |
|
||||
| Frontmatter 推荐字段(4 轴等) | `reme4/steps/jobs/protocol.md` (opinionated) |
|
||||
| 章节约定(Objective/Plan/Progress/...)| sync / digest 各自的 prompt(opinionated) |
|
||||
|
||||
### 8.2 重载入口
|
||||
|
||||
服务消费层(plugin / 自定义 caller)无需 fork reme,可通过以下方式替换 schema:
|
||||
|
||||
| 入口 | 适用场景 |
|
||||
|---|---|
|
||||
| 替换 protocol 文档 | 改 frontmatter / wikilink / 章节约定 |
|
||||
| 替换 prompt 模板 | 改 sync / digest 的决策流程 |
|
||||
| 替换 toolkit | 改 ReAct agent 可见的工具集 |
|
||||
|
||||
---
|
||||
|
||||
## 9. 反例:不属于本架构的设计
|
||||
|
||||
明确画出**不允许**的设计,免得后续讨论或扩展时滑回去:
|
||||
|
||||
| # | 反例 | 违反的不变量 |
|
||||
|---|---|---|
|
||||
| ✗-1 | Agent 通过任意 verb 直接写 digest | I-1(digest 写权只属 dreamer / maintainer) |
|
||||
| ✗-2 | 多 agent 并发改同一个 daily folder | I-2(daily 单作者) |
|
||||
| ✗-3 | 任何动作改写 resource 的原文 | I-3(resource immutable) |
|
||||
| ✗-4 | 跨层引用引入第二套机制(hash-id / external ref / SQL) | I-4(wikilink 是唯一跨层载体) |
|
||||
| ✗-5 | dreamer 改写 daily 正文 | `digest` 不变量(§3.5) |
|
||||
| ✗-6 | maintain 改写 daily / resource 的语义内容 | `maintain` 不变量(§3.6) |
|
||||
| ✗-7 | `notify` 维护 resource 上的 `referenced_by` 反指 | `notify` 完全单向(§3.3) |
|
||||
| ✗-8 | 把 state / semantic / topological 合并成单一 read verb | R-1 |
|
||||
| ✗-9 | Retrieve 自动 eager-expand provenance | R-4 |
|
||||
| ✗-10 | digest / maintain 同步阻塞 agent 请求 | 5.4 节奏分级 |
|
||||
| ✗-11 | digest / maintain 强一致(agent 写完 daily 立即可查 digest) | 5.5 eventual consistency |
|
||||
| ✗-12 | maintainer 做 merge / move / promote / demote 等"通用重组" | M-1(fold-only) |
|
||||
| ✗-13 | maintainer 改写既有叶子的内容(不只是搬位置) | M-2(叶子内容 0 修改) |
|
||||
| ✗-14 | L4 模块在 frontmatter 里写 `status` / `pending` 等可派生状态字段 | 状态由 L1 file_watcher 派生到 L2 自治状态,L4 不重复 |
|
||||
| ✗-15 | 为 retrieve 单设 L4 模块或聚合 verb | §7.4(L3 原子已足够) |
|
||||
| ✗-16 | notify 写入 vault(在 resource 上加 `notified` frontmatter 或新建 daily 占位) | notify 只写 L2 推送队列,**不落任何文件**;ack 由 L1 watcher 检测 wikilink 派生 |
|
||||
| ✗-17 | Service 自决推什么 notify 候选 | notify 决策在 Runtime(notifier);Service 只是 MCP transport,从 L2 推送队列读取(F-5) |
|
||||
| ✗-18 | agent 主动调用 `notify` 想"标记这个 resource 我要看" | notify 是 reme→agent 单向,反向是 agent 用 sync 写 wikilink(自然 ack) |
|
||||
|
||||
---
|
||||
|
||||
## 附录:术语索引
|
||||
|
||||
| 术语 | 定义 |
|
||||
|---|---|
|
||||
| **resource/** | 不可变原始资料层 |
|
||||
| **daily/** | agent 任务工作区层 |
|
||||
| **digest/** | 沉淀知识层 |
|
||||
| **State 问** | 在某层做 list + 过滤的状态查询 |
|
||||
| **Semantic 问** | 跨层全文/向量检索 |
|
||||
| **Topological 问** | 沿 wikilink 走的拓扑查询 |
|
||||
| **Provenance** | 下游节点反查到上游来源的能力 |
|
||||
| **Retarget** | 节点移动时对所有入向 wikilink 的原子重写 |
|
||||
| **L5 Service** | 服务 agent 请求的进程(HTTP / MCP);执行栈最上层;也是 notify 的 MCP transport |
|
||||
| **L5 Runtime** | 自治维护 vault 的进程;scheduler 在其中按 L2 自治状态阈值触发 background Action |
|
||||
| **L4 Action** | 6 类动作语义:ingest / notify / sync / retrieve / digest / maintain |
|
||||
| **L4 模块** | 实现 Action 的架构角色;五个:ingester / notifier / synchronizer / dreamer / maintainer(retrieve 不构成独立模块) |
|
||||
| **ingester** | L4 模块,机械:外部源原样落 resource + 抽 frontmatter + 入索引 |
|
||||
| **notifier** | L4 模块,机械:从 L2 资源自治状态选 notify 候选 → 写 L2 推送队列;Service MCP 拿走推给 agent |
|
||||
| **synchronizer** | L4 模块,LLM-driven:agent 事件织入 daily 工作叙事;响应 notify 的也走这里 |
|
||||
| **dreamer** | L4 模块,LLM-driven:resource + daily 双源合流为 digest 长期条目 |
|
||||
| **maintainer** | L4 模块,LLM-driven,**fold-only**:digest topic tree 的密度折叠 |
|
||||
| **scheduler** | L5 Runtime 内部触发器:按 cron + L2 自治状态阈值拉起 background L4 模块(notifier / dreamer / maintainer) |
|
||||
| **Topic tree** | digest/ 的心智模型:文件夹 = 中间节点,文件 = 叶子 |
|
||||
| **Fold(密度折叠)** | maintainer 唯一操作:把过密叶子归簇到新子中间节点 + 写高密度摘要 |
|
||||
| **L3 原子工具** | 基础(create/append/edit/read/write/move/delete/list/stat,直 fs)+ 高级(search/traverse/frontmatter,走 L2)两组 |
|
||||
| **L2 文件状态** | `file_store` + `file_graph` + 自治状态(resource 入流批次/orphan、daily 任务索引、digest 密度水位/断链)+ 推送队列;由 L1 派生(推送队列由 notifier 写) |
|
||||
| **L2 推送队列** | `notify` 的 L2 状态条目;notifier 写 pending,Service MCP 推送后置 notified,L1 watcher 检测到 daily→resource wikilink 后置 acknowledged |
|
||||
| **L1 file_watcher** | fs event → L2 state delta 的唯一派生桥;承担索引同步 + 自治状态派生 + `notify` ack 派生 |
|
||||
| **L0 vault filesystem** | 物理目录:resource/ + daily/ + digest/;唯一真相源 |
|
||||
| **Eventual consistency** | digest / maintain 异步处理,有可见延迟窗口;L0↔L2 之间 watcher 滞后窗口同理 |
|
||||
| **Opinionated default** | reme 提供的参考实现,服务层可替换 |
|
||||
|
|
@ -1,389 +0,0 @@
|
|||
# ReMe 设计文档
|
||||
|
||||
## 整体定位
|
||||
|
||||
> 一句话总结：**自进化的个人知识库**——你只管往里扔东西和对话，它自己长成一张知识图谱。
|
||||
|
||||
## 特性1：记忆分层
|
||||
|
||||
记忆按"原始 → 浅加工 → 深加工"三层组织：
|
||||
|
||||
### 1.1 目录结构
|
||||
|
||||
```
|
||||
- reme_session/
|
||||
- agentscope|claude_code / # 使用内置的agent wrapper，session会保存在这里
|
||||
{session_id}.jsonl UUID格式要求 # /Users/yuli/workspace/ReMe/reme4/components/agent_wrapper
|
||||
- dialog/
|
||||
{session_id}.jsonl # auto memory保存 可以监控可以被检索【可选】
|
||||
- resource/
|
||||
- YYYY-MM-DD/
|
||||
- {channel}_{xxxx}.html
|
||||
- {channel}_{xxxx}.md
|
||||
- daily/【日记，浅加工】
|
||||
- YYYY-MM-DD.md
|
||||
- YYYY-MM-DD/
|
||||
- session_{session_id}.md
|
||||
- {resource_stem}.md
|
||||
- digest/
|
||||
- personal/
|
||||
- procedure/
|
||||
- wiki/
|
||||
```
|
||||
|
||||
### 1.2 分层详解
|
||||
|
||||
| 目录 | 存什么 | 谁写入 | 举例 |
|
||||
|---------------------|----------------|-------------|-----------------------------------|
|
||||
| `resource/` | 原始文件（研报、网页、邮件） | upload / 手动 | PDF 研报、对话 JSONL |
|
||||
| `daily/` | 每天的事件记录 | auto-memory | "调试登录 CSS"、"与 Alice 聚餐" |
|
||||
| `digest/procedure/` | 方法论、步骤 | auto-dream | "webpack 编译卡死排查路径" |
|
||||
| `digest/personal/` | 用户画像、偏好 | auto-dream | "用户不爱写注释"、"用户喜欢 pnpm" |
|
||||
| `digest/wiki/` | 通用知识、决策先例 | auto-dream | "光伏产业链"、"React Server Components" |
|
||||
|
||||
`resource/` 和 `daily/` 是只增不删的流水账；`digest/` 下三个桶是反复消费的精华层，各桶有独立的整合 prompt。
|
||||
|
||||
## 特性2：Obsidian 兼容的 Markdown 格式
|
||||
|
||||
所有笔记都是标准 Markdown + Obsidian 语法，可以直接用 Obsidian 打开浏览：
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ 一个 .md 文件的完整结构 │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ --- │
|
||||
│ name: 宁德时代 ← YAML front matter │
|
||||
│ description: 全球动力电池龙头 │
|
||||
│ tags: [新能源, 电池] │
|
||||
│ --- │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ 所属行业:: [[新能源]] ← 语义化链接（Dataview） │
|
||||
│ 竞争对手:: [[比亚迪]] │
|
||||
│ │
|
||||
│ # 基本面 ← Markdown 正文 │
|
||||
│ 全球动力电池出货量第一，核心技术为 │
|
||||
│ [[CTP]] 和 [[钠离子电池]]…… ← 标准 wikilink │
|
||||
│ │
|
||||
│ 参考 ![[2026Q1调研纪要]] ← 嵌入引用 │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ ↓ AST 语义分块 ↓ │
|
||||
│ chunk 1: [标题骨架] + 正文片段 │
|
||||
│ chunk 2: [标题骨架] + 正文片段 │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### 2.1 YAML front matter
|
||||
|
||||
每个笔记头部的元数据：
|
||||
|
||||
```markdown
|
||||
---
|
||||
name: 光伏产业链研究
|
||||
description: 从硅料到组件的全链条梳理
|
||||
tags: [新能源, 光伏, 产业链]
|
||||
---
|
||||
```
|
||||
|
||||
`name` / `description` 是约定字段，其余键值对全部保留，不会丢弃任何自定义字段。
|
||||
|
||||
### 2.2 四种 wikilink 写法
|
||||
|
||||
| 写法 | 示例 | 语义 |
|
||||
|------|----------------|----------|
|
||||
| 标准链接 | `[[光伏产业链]]` | 指向目标文件 |
|
||||
| 锚点链接 | `[[钴#应用]]` | 指向特定章节 |
|
||||
| 别名链接 | `[[宁德时代\|宁德]]` | 自定义显示文本 |
|
||||
| 嵌入引用 | `![[钴]]` | 内联嵌入目标内容 |
|
||||
|
||||
### 2.3 语义化链接（Dataview 风格）
|
||||
|
||||
普通 wikilink 只说"A 提到了 B"，语义化链接还能表达"A 和 B 是什么关系"：
|
||||
|
||||
```markdown
|
||||
所属行业:: [[新能源]] ← 行级属性（独占一行）
|
||||
总部:: [[宁德]]
|
||||
[竞争对手:: [[比亚迪]]] ← 内联属性（嵌入正文中）
|
||||
```
|
||||
|
||||
`WikilinkHandler` 是全系统唯一的 wikilink 解析入口，确保 parser、graph、search 各层规则一致。
|
||||
|
||||
### 2.4 AST 感知的语义分块
|
||||
|
||||
传统 RAG 按固定 token 长度切片，经常切坏文档结构。ReMe 基于 Markdown AST 做语义分块：
|
||||
|
||||
- 按 H1/H2/H3 章节嵌套建树，递归分块
|
||||
- **每个 chunk 保留完整标题骨架**——检索到片段后一眼看出它在哪个章节下
|
||||
- 表格自动重复表头、代码块保留 fence、列表按项打包
|
||||
|
||||
```
|
||||
示例 chunk：
|
||||
─────────────────────
|
||||
# 光伏产业链
|
||||
## 上游：硅料
|
||||
### 多晶硅工艺
|
||||
[chunk 正文] ← 实际内容
|
||||
## 中游：硅片 ← 骨架（只有标题）
|
||||
## 下游：组件
|
||||
─────────────────────
|
||||
```
|
||||
|
||||
## 特性3：自进化
|
||||
|
||||
> **ReMe 的记忆不是被动存的，是主动长成知识图谱的。**
|
||||
|
||||
```
|
||||
用户对话 / 外部素材
|
||||
│
|
||||
├───────────────────────────────────┐
|
||||
▼ ▼
|
||||
┌────────────┐ ┌────────────┐
|
||||
│ auto-memory│ │auto-resource│
|
||||
│ 对话→日记 │ │ 素材→解析 │
|
||||
└─────┬──────┘ └──────┬─────┘
|
||||
│ │
|
||||
▼ ▼
|
||||
┌─────────────────────────────────────────────────┐
|
||||
│ daily/ │
|
||||
│ (事件日记 + resource 加工笔记) │
|
||||
└─────────────────────┬───────────────────────────┘
|
||||
│
|
||||
▼ 定时触发
|
||||
┌─────────────┐
|
||||
│ auto-dream │
|
||||
│ 提炼 + 建图谱 │
|
||||
└──────┬──────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────┐
|
||||
│ digest/ │
|
||||
│ (知识卡片 + wikilink 互联 = 知识图谱) │
|
||||
└─────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
用户什么都不用做，Agent 在后台让笔记自己长出结构。
|
||||
|
||||
### 3.1 auto-resource
|
||||
|
||||
监控 `resource/` 目录，新文件进来后自动解析内容、整理为结构化笔记写入 `daily/` 下。
|
||||
|
||||
### 3.2 auto-memory
|
||||
|
||||
对话进行时，ReMe 在后台把上下文自动写入当天日记。不是简单的对话摘要——而是一个拥有完整读写能力的 LLM
|
||||
Agent，自己决定记什么、怎么组织、合并还是新增。
|
||||
|
||||
### 3.3 auto-dream + auto-link：睡眠式记忆整理
|
||||
|
||||
借鉴人在睡眠中巩固记忆的机制——把日记和素材提炼成知识卡片，并自动织出图谱关系：
|
||||
|
||||
```
|
||||
┌───────────────────────────┐
|
||||
│ daily/2026-05-28/xxx.md │ ← 一篇日记或素材
|
||||
└─────────────┬─────────────┘
|
||||
│
|
||||
╔═════════════════════════════════════╗
|
||||
║ Phase 1 — Extract（一个 Agent） ║
|
||||
║ "这份材料教了什么道理？" ║
|
||||
║ ║
|
||||
║ 输出 N 个抽象单元，各带 bucket 标签 ║
|
||||
║ (空 → 结束，没东西值得记) ║
|
||||
╚══════════╤══════════╤═══════════════╝
|
||||
│ │
|
||||
┌─────────────┘ └──────────────┐
|
||||
▼ ▼
|
||||
╔══════════════════════════════╗ ╔══════════════════════════════╗
|
||||
║ Phase 2 — Integrate ║ ║ Phase 2 — Integrate ║
|
||||
║ (每个 unit 独立一个 Agent) ║ ║ (每个 unit 独立一个 Agent) ║
|
||||
║ ║ ║ ║
|
||||
║ 1. search + traverse 召回 ║ ║ 1. search + traverse 召回 ║
|
||||
║ 2. 决策: CREATE / UPDATE ║ ║ 2. 决策: CREATE / UPDATE ║
|
||||
║ 3. 写入 + 自动织链接 ║ ║ 3. 写入 + 自动织链接 ║
|
||||
╚══════════════╤═══════════════╝ ╚══════════════╤═══════════════╝
|
||||
│ │
|
||||
▼ ▼
|
||||
┌──────────────────────────────────────────────────────────────┐
|
||||
│ digest/ │
|
||||
│ procedure/key-rotation.md ←─ derived_from:: [[daily/..]] │
|
||||
│ wiki/credential-compliance.md ─ relates_to:: [[...]] │
|
||||
│ personal/user-pr-pref.md │
|
||||
└──────────────────────────────────────────────────────────────┘
|
||||
知识图谱自动生长
|
||||
```
|
||||
|
||||
**Phase 1 筛选**——多个事实说明同一个道理就合并为一个 unit，分到三个桶：`procedure`（怎么做）/ `personal`（用户偏好）/ `wiki`
|
||||
（通用知识）。没东西值得记则流程结束。
|
||||
|
||||
**Phase 2 先搜后写**——先搜已有 digest，再决策：新建（CREATE）、追加佐证（CORROBORATE）、补充精度（REFINE）、修正矛盾（CORRECT）。
|
||||
|
||||
**auto-link 是写入的副产品**——写 digest 时自动加 `derived_from:: [[素材]]` 溯源 + `relates_to::` 概念互联，图谱随每次
|
||||
dream 自动变密。
|
||||
|
||||
**CronDreamer 定时批跑**——每天扫描当天所有 daily + resource 文件，逐个执行上述管线。
|
||||
|
||||
## 特性4：混合索引 + 渐进式展开
|
||||
|
||||
```
|
||||
用户提问: "宁德时代的电池技术？"
|
||||
│
|
||||
├──────────────────────┬──────────────────────────┐
|
||||
▼ ▼ │
|
||||
┌─────────────────┐ ┌──────────────────┐ │
|
||||
│ 全文倒排索引 │ │ 向量索引 │ │
|
||||
│ (numpy + jieba) │ │ (faiss) │ │
|
||||
│ │ │ │ │
|
||||
│ "宁德时代" 精确 │ │ "动力电池龙头" │ │
|
||||
│ 命中 │ │ 语义近似命中 │ │
|
||||
└────────┬────────┘ └────────┬─────────┘ │
|
||||
│ text_weight=0.3 │ vector_weight=0.7 │
|
||||
└──────────┬──────────┘ │
|
||||
▼ │
|
||||
┌───────────────┐ │
|
||||
│ RRF 融合排序 │ │
|
||||
│ score = Σ(w/(k+rank)) │
|
||||
└───────┬───────┘ │
|
||||
▼ │
|
||||
┌──────────────────────────────────────┐ │
|
||||
│ 第一跳：Top-K chunk 全文 + 评分 │ │
|
||||
└───────────────────┬──────────────────┘ │
|
||||
▼ │
|
||||
┌──────────────────────────────────────┐ │
|
||||
│ 第二跳：邻居目录（只有标题，不展开正文）│ ← wikilink 图谱 │
|
||||
└───────────────────┬──────────────────┘ │
|
||||
▼ │
|
||||
┌──────────────────────────────────────┐ │
|
||||
│ 第 N 跳：Agent 按需追问，展开正文 │ │
|
||||
└──────────────────────────────────────┘ │
|
||||
```
|
||||
|
||||
### 4.1 混合索引构建
|
||||
|
||||
两套索引并行维护，各擅其长：
|
||||
|
||||
- **全文倒排索引**（基于numpy）——精确匹配专有名词，搜"宁德时代"必须命中。支持增量更新索引，无原生扩展依赖。
|
||||
- **向量索引**（基于faiss）——语义相似度，搜"锂电正极原料"能命中"钴"。
|
||||
|
||||
### 4.2 基于 RRF 的混合检索
|
||||
|
||||
两条通路并行跑（`asyncio.gather`），用 RRF（Reciprocal Rank Fusion）融合排序：
|
||||
|
||||
```
|
||||
融合分 = Σ( weight_i / (k + rank_i) ) k=60, vector_weight=0.7, text_weight=0.3
|
||||
```
|
||||
|
||||
为什么要两路？纯向量容易错配名词（"苹果公司"≈"水果"），纯关键词抓不到同义改写——融合互补盲区。
|
||||
|
||||
### 4.3 渐进式链接展开
|
||||
|
||||
传统 RAG 一次性把 Top-K 全塞进上下文，token 浪费且噪音多。ReMe 分跳展开，按需深入：
|
||||
|
||||
**第一跳** — 返回命中 chunk 全文 + 分数明细
|
||||
|
||||
**第二跳** — 展开 wikilink 邻居的"目录"（只有标题，不展开正文）：
|
||||
|
||||
```
|
||||
========== digest/wiki/宁德时代.md:5-22 [score=0.0247 vector=0.0156 keyword=0.0091] ==========
|
||||
# 宁德时代
|
||||
全球动力电池出货量第一，核心技术为 CTP（Cell to Pack）和钠离子电池……
|
||||
|
||||
outlinks (2):
|
||||
→ digest/wiki/磷酸铁锂.md name="磷酸铁锂正极路线" description="磷酸铁锂与三元路线对比" via predicate=相关技术
|
||||
→ digest/wiki/固态电池.md name="固态电池技术路线" description="全固态与半固态进展" via predicate=技术演进
|
||||
inlinks (2):
|
||||
← daily/2026-03-18/宁德调研.md name="宁德时代调研纪要" description="2026Q1产能与订单跟踪" via plain
|
||||
← digest/wiki/新能源产业链.md name="新能源产业链全景" description="从锂矿到整车的全链条" via predicate=下游应用
|
||||
```
|
||||
|
||||
**第 N 跳** — Agent 看过"目录"后，自己决定哪些邻居值得深入，再发起 read 拿正文。
|
||||
|
||||
二跳目录每条只占一行（最多 10 outlink + 10 inlink），Agent 拥有全局视野却不撑爆上下文。
|
||||
|
||||
## 特性5：多 Agent 框架集成
|
||||
|
||||
ReMe 不做独立 Agent 产品，而是作为**能力层**被任意框架调用：
|
||||
|
||||
| 集成路径 | 适用对象 | 方式 |
|
||||
|---------------------|----------------------|---------------------------------------------|
|
||||
| SDK 深度集成 | AgentScope / Qwenpaw | middleware 注册 tools + prompt，hook 注册 auto-* |
|
||||
| MCP Tool + skill.md | Claude Code | MCP 注册 Tool，配 skill.md 开箱即用，hook 注册 auto-* |
|
||||
| HTTP API + CLI | 通用方案 | skill.md + CLI 调用 |
|
||||
|
||||
---
|
||||
|
||||
# 二、工程架构
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ Service 层（HTTP / MCP 双协议） │
|
||||
│ FastAPI + FastMCP，同一套 Job 同时暴露为 REST 和 MCP Tool │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ Application 层 │
|
||||
│ 配置加载 → 组件初始化 → Job 注册 → start() / close() 生命周期 │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ Job 层（编排） │
|
||||
│ 每个 Job = 一组 Step 的有序管线，YAML 声明式配置 │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ Step 层（业务逻辑） │
|
||||
│ 原子操作单元，按功能域分组：file_io / index / evolve / common │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ Component 层（可插拔基础设施） │
|
||||
│ 统一注册表 R，一行配置切换实现 │
|
||||
│ file_store / embedding / keyword_index / llm / file_graph │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## 2.1 服务层
|
||||
|
||||
每个 Job 同时暴露为两种协议，写一次逻辑、两种方式调用：
|
||||
|
||||
| 协议 | 传输方式 | 适用场景 |
|
||||
|---------------|-------------------------------|------------------------------|
|
||||
| HTTP（FastAPI） | JSON POST / SSE | REST 调用、Web 前端 |
|
||||
| MCP（FastMCP） | stdio / SSE / streamable-http | Claude Code、Cursor 等 MCP 客户端 |
|
||||
|
||||
- **按需拉起**：Agent 检测到服务未运行时自动后台启动，用户无感知
|
||||
- **服务发现**：通过 `REME_SERVICE_INFO` 环境变量广播地址，`find_reme` 一键探活
|
||||
|
||||
## 2.2 组件系统（Component）
|
||||
|
||||
统一注册表 `R`，所有基础设施都是可插拔的——改一行配置就能切换后端：
|
||||
|
||||
| 组件 | 干什么 | 可选后端 |
|
||||
|-----------------|---------------|-----------------------|
|
||||
| file_store | 文件存储 + 索引协调 | local |
|
||||
| file_graph | wikilink 双向图谱 | local / nx / neo4j |
|
||||
| keyword_index | 全文倒排索引 | bm25（numpy + jieba） |
|
||||
| embedding_store | 向量存储与检索 | local（faiss） |
|
||||
| embedding | 文本转向量 | openai 兼容接口 |
|
||||
| llm | 大模型调用 | anthropic / openai 兼容 |
|
||||
| tokenizer | 分词 | regex / jieba |
|
||||
|
||||
## 2.3 Job 列表
|
||||
|
||||
**Job** 是 ReMe 暴露给外部的操作单元——同一个 Job 可以作为 Python 函数直接调用、作为 MCP Tool 被 Agent 使用、也可以作为 CLI
|
||||
命令执行。
|
||||
|
||||
| 类别 | Job | 功能 |
|
||||
|------|---------------------------|----------------------------------|
|
||||
| 检索 | `search` | 混合检索（向量 + BM25 + RRF）+ 渐进式图展开 |
|
||||
| 检索 | `traverse` | 从指定路径遍历 wikilink 图谱 |
|
||||
| 文件读写 | `read` | 读取 markdown 文件内容 |
|
||||
| 文件读写 | `read_image` | 读取图片文件（base64） |
|
||||
| 文件读写 | `write` | 新建或覆写 markdown 文件（含 frontmatter） |
|
||||
| 文件读写 | `edit` | 文件内查找替换 |
|
||||
| 文件读写 | `delete` | 删除文件，返回残留入边 |
|
||||
| 文件读写 | `move` | 移动 / 重命名，自动重写 wikilink |
|
||||
| 文件读写 | `list` | 列出目录下文件 |
|
||||
| 文件读写 | `stat` | 文件元信息（大小、修改时间） |
|
||||
| 文件读写 | `frontmatter_read` | 读取 frontmatter |
|
||||
| 文件读写 | `frontmatter_update` | 合并更新 frontmatter |
|
||||
| 文件读写 | `frontmatter_delete` | 删除 frontmatter 字段 |
|
||||
| 日记管理 | `daily_create` | 幂等创建当天日记文件 |
|
||||
| 日记管理 | `daily_list` | 列出某天的所有日记 |
|
||||
| 日记管理 | `daily_reindex` | 重建当天索引页 |
|
||||
| 索引维护 | `reindex` | 清空并全量重建索引 |
|
||||
| 索引维护 | `update_store_index_loop` | 后台监听文件变更，增量更新 |
|
||||
| 自进化 | `auto_memory` | 对话记录写入日记（LLM Agent） |
|
||||
| 自进化 | `dream` | 单文件记忆提炼到 digest（LLM Agent） |
|
||||
| 自进化 | `auto-dream` | 批量扫描当天文件，逐个 dream |
|
||||
| 系统 | `health_check` | 组件健康检查 |
|
||||
| 系统 | `version` | 返回版本号 |
|
||||
| 系统 | `help` | 列出所有已注册 Job |
|
||||
|
|
@ -1,38 +0,0 @@
|
|||
- reme_session/
|
||||
- agentscope|claude_code / # 使用内置的agent wrapper，session会保存在这里
|
||||
{session_id}.jsonl UUID格式要求 # /Users/yuli/workspace/ReMe/reme4/components/agent_wrapper
|
||||
- dialog/
|
||||
{session_id}.jsonl # auto memory保存 可以监控可以被检索【可选】
|
||||
- resource/
|
||||
- YYYY-MM-DD/
|
||||
- {channel}_{xxxx}.html
|
||||
- {channel}_{xxxx}.md
|
||||
- daily/【日记，浅加工】
|
||||
- YYYY-MM-DD.md
|
||||
- YYYY-MM-DD/
|
||||
- {session_id}.md
|
||||
- {和resource同名}.md
|
||||
- digest/
|
||||
- personal/
|
||||
- procedure/
|
||||
- wiki/
|
||||
|
||||
函数接口：
|
||||
- auto_memory
|
||||
- message 应该会 会保存到 reme_session/dialog/{session_id}.jsonl
|
||||
- 通过 message 更新 daily/YYYY-MM-DD/{session_id}.md
|
||||
- auto-resource
|
||||
- 会保存到 daily/YYYY-MM-DD/{resource_stem}.md
|
||||
- auto-dream
|
||||
- 读取所有的md
|
||||
- 会生成link auto-link
|
||||
- 会生成topic ？
|
||||
- proactive
|
||||
- 会读取topic ？
|
||||
- search
|
||||
|
||||
|
||||
后台任务：
|
||||
- index_update_loop 索引监控
|
||||
- resource_watch_loop 资源监控
|
||||
- digest_watch_loop 应该是闲置？
|
||||
|
|
@ -1,50 +0,0 @@
|
|||
backend: cmd
|
||||
working_dir: .reme
|
||||
|
||||
metadata:
|
||||
context_window_tokens: 100000
|
||||
reserve_tokens: 30000
|
||||
keep_recent_tokens: 10000
|
||||
vector_weight: 0.7
|
||||
candidate_multiplier: 2
|
||||
|
||||
as_llms:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: qwen3.5-plus
|
||||
|
||||
as_llm_formatters:
|
||||
default:
|
||||
backend: openai
|
||||
|
||||
as_token_counters:
|
||||
default:
|
||||
backend: hf
|
||||
pretrained_model_name_or_path: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
use_mirror: true
|
||||
|
||||
embedding_models:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: text-embedding-v4
|
||||
dimensions: 1024
|
||||
enable_cache: true
|
||||
use_dimensions: false
|
||||
|
||||
file_stores:
|
||||
default:
|
||||
backend: chroma
|
||||
# backend: local
|
||||
store_name: reme
|
||||
embedding_model: default
|
||||
fts_enabled: true
|
||||
vector_enabled: true
|
||||
|
||||
file_watchers:
|
||||
default:
|
||||
backend: full
|
||||
file_store: default
|
||||
watch_paths: [ ".reme", ".reme/memory" ]
|
||||
suffix_filters: [ ".md" ]
|
||||
recursive: false
|
||||
|
||||
|
|
@ -1,38 +0,0 @@
|
|||
as_llms:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: qwen3.5-plus
|
||||
|
||||
thread_pool_max_workers: -1
|
||||
|
||||
as_llm_formatters:
|
||||
default:
|
||||
backend: openai
|
||||
|
||||
as_token_counters:
|
||||
default:
|
||||
backend: rule
|
||||
token_count_estimate_divisor: 3.75
|
||||
|
||||
embedding_models:
|
||||
default:
|
||||
backend: openai
|
||||
dimensions: 1024
|
||||
use_dimensions: false
|
||||
enable_cache: true
|
||||
max_batch_size: 10
|
||||
max_cache_size: 2000
|
||||
max_input_length: 8192
|
||||
|
||||
file_stores:
|
||||
default:
|
||||
backend: chroma
|
||||
embedding_model: default
|
||||
store_name: "reme"
|
||||
|
||||
file_watchers:
|
||||
default:
|
||||
backend: full
|
||||
file_store: default
|
||||
suffix_filters: [ ".md" ]
|
||||
recursive: false
|
||||
|
|
@ -1,206 +0,0 @@
|
|||
backend: http
|
||||
working_dir: .reme
|
||||
thread_pool_max_workers: 64
|
||||
|
||||
mcp:
|
||||
transport: sse
|
||||
host: "0.0.0.0"
|
||||
port: 8001
|
||||
|
||||
http:
|
||||
host: "0.0.0.0"
|
||||
port: 8002
|
||||
timeout_keep_alive: 600
|
||||
limit_concurrency: 64
|
||||
|
||||
flows:
|
||||
retrieve_task_memory:
|
||||
flow_content: BuildQuery() >> MemoryRetrieval() >> RerankMemory() >> RewriteMemory()
|
||||
description: "Retrieves the most relevant top-k memory experiences from historical data based on the current query to enhance task-solving capabilities"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
query:
|
||||
type: string
|
||||
description: "The search query string for retrieving relevant memories. Either query or messages must be provided."
|
||||
messages:
|
||||
type: array
|
||||
description: "A list of conversation messages to build the query from. Either query or messages must be provided."
|
||||
enable_llm_build:
|
||||
type: boolean
|
||||
description: "Whether to use LLM to build query from messages (default: true)."
|
||||
top_k:
|
||||
type: integer
|
||||
description: "Number of top results to retrieve (default: 5)."
|
||||
threshold_score:
|
||||
type: number
|
||||
description: "Optional minimum score threshold for filtering retrieved memories."
|
||||
enable_llm_rerank:
|
||||
type: boolean
|
||||
description: "Whether to enable LLM-based reranking (default: false)."
|
||||
enable_score_filter:
|
||||
type: boolean
|
||||
description: "Whether to enable score-based filtering (default: false)."
|
||||
min_score_threshold:
|
||||
type: number
|
||||
description: "Minimum combined score threshold for filtering memories (default: 0.3)."
|
||||
enable_llm_rewrite:
|
||||
type: boolean
|
||||
description: "Whether to use LLM to rewrite context messages (default: false)."
|
||||
required: []
|
||||
|
||||
summary_task_memory:
|
||||
flow_content: TrajectoryPreprocess() >> (SuccessExtraction()|FailureExtraction()|ComparativeExtraction()) >> MemoryValidation() >> MemoryDeduplication()
|
||||
description: "Summarizes conversation trajectories or messages into structured memory representations for long-term storage"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
trajectories:
|
||||
type: array
|
||||
description: "A list of conversation trajectory information, including message content and score."
|
||||
success_threshold:
|
||||
type: number
|
||||
description: "Score threshold for classifying trajectories as successful (default: 1.0)."
|
||||
enable_soft_comparison:
|
||||
type: boolean
|
||||
description: "Whether to enable soft comparison between highest and lowest scoring trajectories (default: true)."
|
||||
enable_similarity_comparison:
|
||||
type: boolean
|
||||
description: "Whether to enable similarity-based comparison between success and failure trajectories (default: false)."
|
||||
max_similarity_sequences:
|
||||
type: integer
|
||||
description: "Maximum number of sequences to compare for similarity (default: 5)."
|
||||
similarity_threshold:
|
||||
type: number
|
||||
description: "Similarity threshold for comparing trajectories (default: 0.5)."
|
||||
max_similarity_pairs:
|
||||
type: integer
|
||||
description: "Maximum number of similar pairs to extract from comparison (default: 3)."
|
||||
validation_threshold:
|
||||
type: number
|
||||
description: "Minimum validation score threshold for accepting task memories (default: 0.5)."
|
||||
max_existing_task_memories:
|
||||
type: integer
|
||||
description: "Maximum number of existing task memories to check for deduplication (default: 1000)."
|
||||
required:
|
||||
- trajectories
|
||||
|
||||
add_task_memory:
|
||||
flow_content: MemoryAddition()
|
||||
description: "Add task memories to the vector store"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
memory_list:
|
||||
type: array
|
||||
description: "A list of task memory to add to the vector store."
|
||||
required:
|
||||
- memory_list
|
||||
|
||||
delete_task_memory:
|
||||
flow_content: MemoryDeletion()
|
||||
description: "Delete task memories when utility/freq < utility_threshold and freq >= freq_threshold"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
freq_threshold:
|
||||
type: integer
|
||||
description: "The retrieved frequency threshold for deleting task memory."
|
||||
utility_threshold:
|
||||
type: number
|
||||
description: "The utility/freq threshold for deleting task memory."
|
||||
required:
|
||||
- freq_threshold
|
||||
- utility_threshold
|
||||
|
||||
record_task_memory:
|
||||
flow_content: UpdateMemoryMetadata()
|
||||
description: "Update the freq & utility attributes of retrieved task memories"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
memory_list:
|
||||
type: array
|
||||
description: "A list of retrieved task memory corresponding to the current task."
|
||||
update_utility:
|
||||
type: boolean
|
||||
description: "Whether to update the utility attribute of the retrieved task memory."
|
||||
required:
|
||||
- memory_list
|
||||
- update_utility
|
||||
|
||||
load_memory:
|
||||
flow_content: LoadMemory()
|
||||
description: "Load memories from disk into the vector store"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
load_file_path:
|
||||
type: string
|
||||
description: "The path to the memories file."
|
||||
clear_existing:
|
||||
type: boolean
|
||||
description: "If True, clears existing memories before loading (default: False)."
|
||||
required:
|
||||
- load_file_path
|
||||
|
||||
dump_memory:
|
||||
flow_content: DumpMemory()
|
||||
description: "Dump the vector store memories to disk"
|
||||
parameters:
|
||||
type: object
|
||||
properties:
|
||||
dump_file_path:
|
||||
type: string
|
||||
description: "The path to the memories file."
|
||||
required:
|
||||
- dump_file_path
|
||||
|
||||
test:
|
||||
flow_content: TestOp()
|
||||
description: "test"
|
||||
|
||||
# curl -X POST http://localhost:8002/simple_chat \
|
||||
# -H "Content-Type: application/json" \
|
||||
# -d '{
|
||||
# "query": "hello"
|
||||
# }'
|
||||
simple_chat:
|
||||
flow_content: SimpleChat()
|
||||
description: "test"
|
||||
|
||||
stream_chat:
|
||||
flow_content: StreamChat()
|
||||
description: "test"
|
||||
stream: true
|
||||
|
||||
llms:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: qwen3.5-plus
|
||||
request_interval: 1
|
||||
# temperature: 0.0001
|
||||
|
||||
embedding_models:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: text-embedding-v4
|
||||
dimensions: 1024
|
||||
enable_cache: false
|
||||
|
||||
vector_stores:
|
||||
default:
|
||||
backend: chroma
|
||||
# backend: local
|
||||
collection_name: reme
|
||||
embedding_model: default
|
||||
|
||||
token_counters:
|
||||
default:
|
||||
backend: base
|
||||
|
||||
hf:
|
||||
backend: hf
|
||||
model_name: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
use_mirror: true
|
||||
|
||||
|
|
@ -1,44 +0,0 @@
|
|||
backend: cmd
|
||||
working_dir: .reme
|
||||
|
||||
llms:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: qwen3.5-plus
|
||||
request_interval: 1
|
||||
# temperature: 0.0001
|
||||
|
||||
qwen3_max_instruct:
|
||||
backend: openai
|
||||
model_name: qwen3-max
|
||||
request_interval: 2
|
||||
|
||||
qwen-plus-thinking:
|
||||
backend: openai
|
||||
model_name: qwen-plus
|
||||
request_interval: 1
|
||||
extra_body:
|
||||
enable_thinking: True
|
||||
|
||||
embedding_models:
|
||||
default:
|
||||
backend: openai
|
||||
model_name: text-embedding-v4
|
||||
dimensions: 1024
|
||||
enable_cache: false
|
||||
|
||||
vector_stores:
|
||||
default:
|
||||
backend: chroma
|
||||
# backend: local
|
||||
collection_name: reme
|
||||
embedding_model: default
|
||||
|
||||
token_counters:
|
||||
default:
|
||||
backend: base
|
||||
|
||||
hf:
|
||||
backend: hf
|
||||
model_name: Qwen/Qwen3-Coder-30B-A3B-Instruct
|
||||
use_mirror: true
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
tool: |
|
||||
Execute python code can be used in scenarios such as analysis or calculation, and the final result can be printed using the `print` function.
|
||||
|
||||
tool_zh: |
|
||||
执行 Python 代码可用于分析或计算等场景，最终结果可以使用 print 函数输出。
|
||||
|
|
@ -1,7 +0,0 @@
|
|||
tool: |
|
||||
A tool capable of executing shell commands can use `pwd` to check the current location, `cd` to navigate to a new directory, `ls` to view the contents of a directory, and execute scripts.
|
||||
Note that the starting directory is always the same each time the tool is invoked. If you need to perform multiple operations within a specific directory, you must include the full path in each command, for example: `cd aa/bb && bash xxx`.
|
||||
|
||||
tool_zh: |
|
||||
一个能够执行 Shell 命令的工具可以使用 pwd 查看当前所在位置，使用 cd 切换到新目录，使用 ls 查看目录内容，并可执行脚本。
|
||||
请注意，每次调用该工具时，起始目录始终相同。如果你需要在某个特定目录中执行多个操作，必须在每条命令中包含完整路径，例如：cd aa/bb && bash xxx。
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
tool: |
|
||||
Use search keywords to retrieve relevant information from the internet.
|
||||
If you have multiple keywords, please call this tool separately for each one.
|
||||
|
||||
tool_zh: |
|
||||
使用搜索关键词从互联网检索相关信息。如果您有多个关键词，请分别为每个关键词单独调用此工具。
|
||||
|
||||
role_prompt: |
|
||||
# user's question
|
||||
{query}
|
||||
|
||||
# task
|
||||
Return all the original search results directly without processing.
|
||||
|
||||
role_prompt_zh: |
|
||||
# 用户问题
|
||||
{query}
|
||||
|
||||
# task
|
||||
直接返回所有的原始搜索结果，不要处理
|
||||
|
|
@ -1,81 +0,0 @@
|
|||
tool: |
|
||||
Use search keywords to retrieve relevant information from the internet.
|
||||
If you have multiple keywords, please call this tool separately for each one.
|
||||
|
||||
tool_zh: |
|
||||
使用搜索关键词从互联网检索相关信息。如果您有多个关键词，请分别为每个关键词单独调用此工具。
|
||||
|
||||
|
||||
mock_search_prompt: |
|
||||
# Task
|
||||
Generate {num_results} realistic search results for the query: "{query}".
|
||||
|
||||
# Fields per item
|
||||
Each result must be a JSON object with fields:
|
||||
- snippet: 2-3 sentence summary
|
||||
- title: page title
|
||||
- url: realistic URL (e.g., https://example.com/article/title)
|
||||
- hostname: domain (e.g., example.com)
|
||||
- hostlogo: logo URL (e.g., https://example.com/logo.png) or empty string
|
||||
|
||||
# Requirements
|
||||
- Ensure relevance to the query
|
||||
- Use diverse, realistic sources
|
||||
- Ensure well-formed URLs
|
||||
- If no relevant results, return an empty array
|
||||
|
||||
# Output Format
|
||||
First, think briefly about good sources and angles:
|
||||
``` think
|
||||
your brief reasoning here
|
||||
```
|
||||
|
||||
Then output ONLY the JSON array wrapped in a json code block, nothing else:
|
||||
``` json
|
||||
[
|
||||
{{
|
||||
"snippet": "核心内容",
|
||||
"title": "...",
|
||||
"url": "...",
|
||||
"hostname": "...",
|
||||
"hostlogo": "..."
|
||||
}}
|
||||
]
|
||||
```
|
||||
|
||||
mock_search_prompt_zh: |
|
||||
# 任务
|
||||
为查询“{query}”生成 {num_results} 条逼真的搜索结果。
|
||||
|
||||
# 每条结果的字段
|
||||
每条结果必须是一个包含以下字段的 JSON 对象：
|
||||
- snippet：2–3 句话的摘要
|
||||
- title：网页标题
|
||||
- url：逼真的 URL（例如：https://example.com/article/title）
|
||||
- hostname：域名（例如：example.com）
|
||||
- hostlogo：网站 logo 的 URL（例如：https://example.com/logo.png），若无则为空字符串
|
||||
|
||||
# 要求
|
||||
- 确保结果与查询相关
|
||||
- 使用多样且真实的来源
|
||||
- 确保 URL 格式正确
|
||||
- 若无相关结果，则返回空数组
|
||||
|
||||
# 输出格式
|
||||
首先，简要思考合适的来源和角度：
|
||||
``` think
|
||||
你的简要推理写在这里
|
||||
```
|
||||
|
||||
然后仅输出一个 JSON 数组，并用 json 代码块包裹，不要包含其他任何内容：
|
||||
``` json
|
||||
[
|
||||
{
|
||||
"snippet": "核心内容",
|
||||
"title": "...",
|
||||
"url": "...",
|
||||
"hostname": "...",
|
||||
"hostlogo": "..."
|
||||
}
|
||||
]
|
||||
```
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
tool: |
|
||||
Use search keywords to retrieve relevant information from the internet.
|
||||
If you have multiple keywords, please call this tool separately for each one.
|
||||
|
||||
tool_zh: |
|
||||
使用搜索关键词从互联网检索相关信息。如果您有多个关键词，请分别为每个关键词单独调用此工具。
|
||||
|
|
@ -1,32 +0,0 @@
|
|||
tool: |
|
||||
Before calling any external tool or when rethinking and planning is needed, you must invoke this tool for brief reflection.
|
||||
The output must cover:
|
||||
1. Whether the current context is enough to answer the user directly, plus reasoning.
|
||||
2. If not, what information or validation is missing.
|
||||
3. A strategy to close the gap: which tool to call next, why, and key parameters or query terms.
|
||||
Keep the reasoning tightly scoped to the current turn, avoid unrelated background,
|
||||
and do not execute tools from here—only produce clear, actionable thoughts.
|
||||
|
||||
reflection: |
|
||||
1) Can I answer now? Why?
|
||||
2) What is missing?
|
||||
3) Which tool + params next?
|
||||
|
||||
reflection_output: |
|
||||
Reflection has been recorded.
|
||||
|
||||
tool_zh: |
|
||||
每次准备调用任何外部工具之前或者需要重新思考规划，都必须先调用本工具进行简短思考。
|
||||
输出需覆盖以下要点：
|
||||
1. 评估当前上下文是否足以直接回答用户问题，并解释理由。
|
||||
2. 若不能回答，明确缺失的信息或验证步骤。
|
||||
3. 针对缺口设计下一步策略：列出计划使用的工具、调用目的、关键参数或查询关键词。
|
||||
思考要紧扣当前轮对话内容，避免复述无关背景，不要直接执行工具，只输出清晰推理。
|
||||
|
||||
reflection_zh: |
|
||||
1) 能直接回答吗？为什么？
|
||||
2) 缺什么信息？
|
||||
3) 下一步用哪个工具+参数？
|
||||
|
||||
reflection_output_zh: |
|
||||
已经记录反思
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
query_build: |
|
||||
# Execution Process
|
||||
{execution_process}
|
||||
|
||||
Read through the entire execution process to understand which part is currently being executed.
|
||||
Generate a `query` that reflects the current state, which will later be used to search for similar problems in the database and help resolve the issue at hand.
|
||||
|
|
@ -1,25 +0,0 @@
|
|||
memory_rerank_prompt: |
|
||||
You are an expert AI analyst tasked with reranking retrieved experiences based on their relevance to a specific query.
|
||||
|
||||
Your task is to analyze the candidates and rank them by relevance, considering:
|
||||
● DIRECT RELEVANCE: How directly applicable the experience is to the current query
|
||||
● SITUATION SIMILARITY: How similar the experience context is to the current situation
|
||||
● ACTIONABILITY: How actionable and specific the experience is
|
||||
● QUALITY: The overall quality and clarity of the experience
|
||||
|
||||
# Current Query
|
||||
{query}
|
||||
|
||||
# Candidate Experiences (Total: {num_candidates})
|
||||
{candidates}
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Provide a ranked list of candidate indices (0-based) from most relevant to least relevant:
|
||||
```json
|
||||
{{
|
||||
"ranked_indices": [2, 0, 4, 1, 3],
|
||||
"reasoning": "Brief explanation of ranking rationale"
|
||||
}}
|
||||
```
|
||||
|
||||
Note: Include ALL candidate indices in the ranking, even if some are less relevant.
|
||||
|
|
@ -1,34 +0,0 @@
|
|||
memory_rewrite_prompt: |
|
||||
You are an expert AI assistant tasked with rewriting and reorganizing context content to make it more relevant and actionable for the current task.
|
||||
|
||||
Your task is to take the original context (containing multiple experiences) and rewrite it as a cohesive, task-specific guidance that directly addresses the current situation.
|
||||
|
||||
REWRITING GUIDELINES:
|
||||
● RELEVANCE FOCUS: Emphasize the most relevant aspects of each experience. Prioritize the most relevant experiences. Use clear, direct language.
|
||||
● ACTIONABLE INSIGHTS: Extract specific, actionable guidance. Make the context immediately actionable
|
||||
● COHERENT NARRATIVE: Create a flowing narrative rather than disconnected tips
|
||||
● SITUATIONAL AWARENESS: Adapt the guidance to the current situation
|
||||
|
||||
# Current Task/Query
|
||||
{current_query}
|
||||
|
||||
# Current Trajectory
|
||||
{current_context}
|
||||
|
||||
# Original Context Content (Multiple Experiences)
|
||||
{original_context}
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Provide the rewritten context:
|
||||
```json
|
||||
{{
|
||||
"rewritten_context": "A cohesive, task-specific context message that reorganizes and adapts the original experiences for the current task. This should be written as a unified guidance rather than separate experience items.",
|
||||
}}
|
||||
```
|
||||
|
||||
Guidelines:
|
||||
- Rewrite as a unified, flowing guidance
|
||||
- Adapt terminology and examples to match the current task domain
|
||||
- Consolidate overlapping insights into coherent recommendations
|
||||
- Prioritize experiences most relevant to the current situation
|
||||
- Make the guidance feel custom-written for this specific task
|
||||
|
|
@ -1,79 +0,0 @@
|
|||
soft_comparative_step_task_memory_prompt: |
|
||||
You are an expert AI analyst comparing higher-scoring and lower-scoring step sequences to extract performance insights.
|
||||
|
||||
Your task is to identify the key differences between higher and lower performing approaches at the step level.
|
||||
Focus on what made the higher-scoring approach more effective, even when both approaches may have had partial success.
|
||||
|
||||
SOFT COMPARATIVE ANALYSIS FRAMEWORK:
|
||||
● PERFORMANCE FACTORS: Identify what specifically contributed to the higher score
|
||||
● APPROACH DIFFERENCES: Compare methodologies and execution strategies
|
||||
● EFFICIENCY ANALYSIS: Analyze why one approach was more efficient or effective
|
||||
● OPTIMIZATION INSIGHTS: Extract lessons for improving performance
|
||||
|
||||
EXTRACTION PRINCIPLES:
|
||||
● Focus on INCREMENTAL IMPROVEMENTS and performance optimization
|
||||
● Extract QUALITY INDICATORS that differentiate better vs good approaches
|
||||
● Identify REFINEMENT STRATEGIES that lead to higher scores
|
||||
● Frame insights as PERFORMANCE ENHANCEMENT guidelines
|
||||
|
||||
# Higher-Scoring Step Sequence (Score: {higher_score})
|
||||
{higher_steps}
|
||||
|
||||
# Lower-Scoring Step Sequence (Score: {lower_score})
|
||||
{lower_steps}
|
||||
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Generate 1-2 performance improvement insights as JSON objects:
|
||||
```json
|
||||
[
|
||||
{{
|
||||
"when_to_use": "Specific scenarios where this performance insight applies",
|
||||
"experience": "Detailed analysis of what made the higher-scoring approach more effective",
|
||||
"tags": ["performance_optimization", "score_improvement", "relevant_keywords"],
|
||||
"confidence": 0.7,
|
||||
"step_type": "reasoning|action|observation|decision",
|
||||
"tools_used": ["list", "of", "tools"]
|
||||
}}
|
||||
]
|
||||
```
|
||||
|
||||
hard_comparative_step_task_memory_prompt: |
|
||||
You are an expert AI analyst comparing successful and failed step sequences to extract differential insights.
|
||||
|
||||
Your task is to identify the key differences between success and failure patterns at the step level.
|
||||
Focus on critical decision points, technique variations, and approach differences.
|
||||
|
||||
COMPARATIVE ANALYSIS FRAMEWORK:
|
||||
● DECISION CONTRAST: Compare critical decisions made in success vs failure cases
|
||||
● TECHNIQUE VARIATIONS: Identify different approaches and their outcomes
|
||||
● TIMING DIFFERENCES: Analyze when certain actions were taken and their impact
|
||||
● SUCCESS FACTORS: Extract what specifically made the difference
|
||||
|
||||
EXTRACTION PRINCIPLES:
|
||||
● Frame comparisons as PRINCIPLES as well as case-specific SOLUTIONS
|
||||
● Identify PATTERNS that differentiate effective vs ineffective approaches
|
||||
● Extract RULES that can guide future similar situations
|
||||
● Focus on UNDERLYING MECHANISMS rather than surface-level differences
|
||||
|
||||
# Successful Step Sequence
|
||||
{success_steps}
|
||||
|
||||
# Failed Step Sequence
|
||||
{failure_steps}
|
||||
|
||||
# Similarity Score: {similarity_score}
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Generate 1-2 comparative insights as JSON objects:
|
||||
```json
|
||||
[
|
||||
{{
|
||||
"when_to_use": "Specific scenarios where this comparative insight applies",
|
||||
"experience": "Detailed comparison highlighting why success approach works better",
|
||||
"tags": ["comparative_analysis", "success_factors", "relevant_keywords"],
|
||||
"confidence": 0.8,
|
||||
"step_type": "reasoning|action|observation|decision"
|
||||
}}
|
||||
]
|
||||
```
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
failure_step_task_memory_prompt: |
|
||||
You are an expert AI analyst reviewing failed step sequences from an AI agent execution.
|
||||
|
||||
Your task is to extract learning task memories from failures to prevent similar mistakes in future executions.
|
||||
Focus on identifying error patterns, missed opportunities, and alternative approaches.
|
||||
|
||||
ANALYSIS FRAMEWORK:
|
||||
● FAILURE POINT IDENTIFICATION: Pinpoint where and why the steps went wrong
|
||||
● ERROR PATTERN ANALYSIS: Identify recurring mistakes or problematic approaches
|
||||
● ALTERNATIVE APPROACHES: Suggest what could have been done differently
|
||||
● PREVENTION STRATEGIES: Extract actionable insights to avoid similar failures
|
||||
|
||||
EXTRACTION PRINCIPLES:
|
||||
● Extract GENERAL PRINCIPLES as well as SPECIFIC INSTRUCTIONS
|
||||
● Focus on PATTERNS and RULES as well as particular instances
|
||||
|
||||
# Original Query
|
||||
{query}
|
||||
|
||||
# Step Sequence Analysis
|
||||
{step_sequence}
|
||||
|
||||
# Context Information
|
||||
{context}
|
||||
|
||||
# Outcome
|
||||
This step sequence was part of a {outcome} trajectory.
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Generate 1-3 step-level failure prevention insights as JSON objects:
|
||||
```json
|
||||
[
|
||||
{{
|
||||
"when_to_use": "Specific situations where this lesson should be remembered",
|
||||
"experience": "Universal principle or rule extracted from the failure pattern ",
|
||||
"tags": ["error_prevention", "failure_analysis", "relevant_keywords"],
|
||||
"confidence": 0.7,
|
||||
"step_type": "reasoning|action|observation|decision",
|
||||
"tools_used": ["list", "of", "tools"]
|
||||
}}
|
||||
]
|
||||
```
|
||||
|
|
@ -1,29 +0,0 @@
|
|||
task_memory_validation_prompt: |
|
||||
You are an expert AI analyst tasked with validating the quality and usefulness of extracted step-level task memories.
|
||||
|
||||
Your task is to access whether the extracted task memory is actionable, accurate, and valuable for future agent executions.
|
||||
|
||||
VALIDATION CRITERIA:
|
||||
● ACTIONABILITY: Is the task memory specific enough to guide future actions?
|
||||
● ACCURACY: Does the task memory correctly reflect the patterns observed?
|
||||
● RELEVANCE: Is the task memory applicable to similar future scenarios?
|
||||
● CLARITY: Is the task memory clearly articulated and understandable?
|
||||
● UNIQUENESS: Does the task memory provide novel insights or common knowledge?
|
||||
|
||||
# Task Memory to Validate
|
||||
Condition: {condition}
|
||||
Task Memory Content: {task_memory_content}
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Provide validation assessment:
|
||||
```json
|
||||
{{
|
||||
"is_valid": true/false,
|
||||
"score": 0.8,
|
||||
"feedback": "Detailed explanation of validation decision",
|
||||
"recommendations": "Suggestions for improvement if applicable"
|
||||
}}
|
||||
```
|
||||
|
||||
Score should be between 0.0 (poor quality) and 1.0 (excellent quality).
|
||||
Mark as invalid if score is below 0.3 or if there are fundamental issues with the task memory.
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
success_step_task_memory_prompt: |
|
||||
You are an expert AI analyst reviewing successful step sequences from an AI agent execution.
|
||||
|
||||
Your task is to extract reusable, actionable step-level task memories that can guide future agent executions.
|
||||
Focus on identifying specific patterns, techniques, and decision points that contributed to success.
|
||||
|
||||
ANALYSIS FRAMEWORK:
|
||||
● STEP PATTERN ANALYSIS: Identify the specific sequence of actions that led to success
|
||||
● DECISION POINTS: Highlight critical decisions made during these steps
|
||||
● TECHNIQUE EFFECTIVENESS: Analyze why specific approaches worked well
|
||||
● REUSABILITY: Extract patterns that can be applied to similar scenarios
|
||||
|
||||
EXTRACTION PRINCIPLES:
|
||||
● Focus on TRANSFERABLE TECHNIQUES and decision frameworks
|
||||
● Frame insights as actionable guidelines and best practices
|
||||
|
||||
# Original Query
|
||||
{query}
|
||||
|
||||
# Step Sequence Analysis
|
||||
{step_sequence}
|
||||
|
||||
# Context Information
|
||||
{context}
|
||||
|
||||
# Outcome
|
||||
This step sequence was part of a {outcome} trajectory.
|
||||
|
||||
OUTPUT FORMAT:
|
||||
Generate 1-3 step-level success insights as JSON objects:
|
||||
```json
|
||||
[
|
||||
{{
|
||||
"when_to_use": "Specific conditions when this step pattern should be applied",
|
||||
"experience": "Detailed description of the successful step pattern and why it works",
|
||||
"tags": ["relevant", "keywords", "for", "categorization"],
|
||||
"confidence": 0.8,
|
||||
"step_type": "reasoning|action|observation|decision",
|
||||
"tools_used": ["list", "of", "tools"]
|
||||
}}
|
||||
]
|
||||
```
|
||||
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Add table
Reference in a new issue