Merge pull request #119 from zouyingcao/main

code migration: workflow-based procedural memory (after pre-commit check)

benchmark/appworld/appworld_react_agent.py

@@ -0,0 +1,360 @@
+# flake8: noqa: E402, E501
+# pylint: disable=E0611
+"""A minimal ReAct Agent for AppWorld tasks."""
+import os
+import re
+import time
+import json
+import datetime
+from typing import List, Any
+
+
+import ray
+import requests
+from tqdm import tqdm
+from loguru import logger
+from openai import OpenAI
+from jinja2 import Template
+from dotenv import load_dotenv
+
+from prompt import NEW_PROMPT_TEMPLATE
+from appworld import AppWorld, load_task_ids
+
+os.environ["APPWORLD_ROOT"] = "."
+
+load_dotenv("../../.env")
+
+
+@ray.remote
+class AppworldReactAgent:
+    """A minimal ReAct Agent for AppWorld tasks."""
+
+    def __init__(
+        self,
+        index: int,
+        task_ids: List[str],
+        experiment_name: str,
+        model_name: str = "qwen3-8b",
+        temperature: float = 0.9,
+        max_interactions: int = 30,
+        max_response_size: int = 129024,
+        num_trials: int = 1,
+        use_memory: bool = False,
+        memory_base_url: str = "http://0.0.0.0:8002/",
+        use_memory_addition: bool = False,
+        use_memory_deletion: bool = False,
+        delete_freq: int = 10,
+        freq_threshold: int = 5,
+        utility_threshold: float = 0.5,
+    ):
+
+        self.index: int = index
+        self.task_ids: List[str] = task_ids
+        self.experiment_name: str = experiment_name
+        self.model_name: str = model_name
+        self.temperature: float = temperature
+        self.max_interactions: int = max_interactions
+        self.max_response_size: int = max_response_size
+        self.num_trials: int = num_trials
+        self.use_memory: bool = use_memory
+        self.use_memory_addition: bool = use_memory_addition if use_memory else False
+        self.use_memory_deletion: bool = use_memory_deletion if use_memory else False
+        self.delete_freq: int = delete_freq
+        self.freq_threshold: int = freq_threshold
+        self.utility_threshold: float = utility_threshold
+
+        self.llm_client = OpenAI()
+        self.memory_base_url: str = memory_base_url
+
+        self.history: List[List[List[dict]]] = [[] for _ in range(num_trials)]
+        self.retrieved_memory_list: List[List[List[Any]]] = [[] for _ in range(num_trials)]
+
+        for run_id in range(num_trials):
+            for _ in range(len(task_ids)):
+                self.retrieved_memory_list[run_id].append([])
+                self.history[run_id].append([])
+
+    def call_llm(self, messages: list) -> str:
+        """Call the LLM to generate a response to the messages."""
+        for i in range(100):
+            try:
+                response = self.llm_client.chat.completions.create(
+                    model=self.model_name,
+                    messages=messages,
+                    temperature=self.temperature,
+                    extra_body={"enable_thinking": False},
+                    seed=0,
+                )
+
+                return response.choices[0].message.content
+
+            except Exception as e:
+                logger.exception(f"encounter error with {e.args}")
+                time.sleep(1 + i * 10)
+
+        return "call llm error"
+
+    def prompt_messages(self, run_id, task_index, previous_memories: None, world: AppWorld):
+        """Prompt the messages to the LLM."""
+        app_descriptions = json.dumps(
+            [{"name": k, "description": v} for (k, v) in world.task.app_descriptions.items()],
+            indent=1,
+        )
+        dictionary = {"supervisor": world.task.supervisor, "app_descriptions": app_descriptions}
+        sys_prompt = Template(NEW_PROMPT_TEMPLATE.lstrip()).render(dictionary)
+        query = world.task.instruction
+        if self.use_memory:
+            if len(previous_memories) == 0:
+                response = self.get_memory(world.task.instruction)
+                if response and "memory_list" in response["metadata"]:
+                    self.retrieved_memory_list[run_id][task_index] = response["metadata"]["memory_list"]
+                    task_memory = re.sub(r"\bMemory\s*(\d+)\s*[:]", r"Experience \1:", response["answer"])
+                    logger.info(f"loaded task_memory: {task_memory}")
+                    query = (
+                        "Task:\n"
+                        + query
+                        + "\n\nSome Related Experience to help you to complete the task:\n"
+                        + task_memory
+                    )
+            else:
+                formatted_memories = []
+                for i, memory in enumerate(previous_memories, 1):
+                    condition = memory["when_to_use"]
+                    memory_content = memory["content"]
+                    memory_text = f"Experience {i}:\n When to use: {condition}\n Content: {memory_content}\n"
+                    formatted_memories.append(memory_text)
+                query = (
+                    "Task:\n"
+                    + query
+                    + "\n\nSome Related Experience to help you to complete the task:\n"
+                    + "\n".join(formatted_memories)
+                )
+        messages = [
+            {"role": "system", "content": sys_prompt},
+            {"role": "user", "content": query},
+        ]
+        self.history[run_id][task_index] = messages
+
+    @staticmethod
+    def get_reward(world) -> float:
+        """Get the reward for the Appworld world."""
+        tracker = world.evaluate()
+        num_passes = len(tracker.passes)
+        num_failures = len(tracker.failures)
+        return num_passes / (num_passes + num_failures)
+
+    def extract_code_and_fix_content(
+        self,
+        text: str,
+        ignore_multiple_calls=True,
+    ) -> tuple[str, str]:
+        """Extract the code and fix the content."""
+        full_code_regex = r"```python\n(.*?)```"
+        partial_code_regex = r".*```python\n(.*)"
+
+        original_text = text
+        output_code = ""
+        match_end = 0
+        # Handle multiple calls
+        for re_match in re.finditer(full_code_regex, original_text, flags=re.DOTALL):
+            code = re_match.group(1).strip()
+            if ignore_multiple_calls:
+                text = original_text[: re_match.end()]
+                return code, text
+            output_code += code + "\n"
+            match_end = re_match.end()
+        # check for partial code match at end (no terminating ```)  following the last match
+        partial_match = re.match(
+            partial_code_regex,
+            original_text[match_end:],
+            flags=re.DOTALL,
+        )
+        if partial_match:
+            output_code += partial_match.group(1).strip()
+            # terminated due to stop condition. Add stop condition to output.
+            if not text.endswith("\n"):
+                text = text + "\n"
+            text = text + "```"
+        if len(output_code) == 0:
+            return text, text
+        else:
+            return output_code, text
+
+    def execute(self):
+        """Execute the Appworld tasks."""
+        result = []
+        counter = 0
+        for task_index, task_id in enumerate(tqdm(self.task_ids, desc=f"run_index={self.index}")):
+            t_result = None
+            previous_memories = []
+            # Run each task num_trials times
+            for run_id in range(self.num_trials):
+                start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+                with AppWorld(task_id=task_id, experiment_name=f"{self.experiment_name}_run_{run_id}") as world:
+                    before_score = self.get_reward(world)
+                    for i in range(self.max_interactions):
+                        if i == 0:
+                            self.prompt_messages(
+                                run_id=run_id,
+                                task_index=task_index,
+                                previous_memories=previous_memories,
+                                world=world,
+                            )
+                        code_msg = self.call_llm(self.history[run_id][task_index])
+                        code, _ = self.extract_code_and_fix_content(code_msg)
+                        self.history[run_id][task_index].append({"role": "assistant", "content": code})
+
+                        output = world.execute(code)
+                        # if len(output) > self.max_response_size:
+                        #     # logger.warning(f"output exceed max size={len(output)}")
+                        #     output = output[: self.max_response_size]
+                        self.history[run_id][task_index].append(
+                            {"role": "user", "content": "Output:\n```\n" + output + "```\n\n"},
+                        )
+
+                        if world.task_completed():
+                            break
+
+                    after_score = self.get_reward(world)
+                    uplift_score = after_score - before_score
+
+                    if self.use_memory:
+                        if self.use_memory_addition:
+                            new_traj_list = [
+                                self.get_traj_from_task_history(task_id, self.history[run_id][task_index], after_score),
+                            ]
+                            previous_memories = self.summary_memory(new_traj_list)
+                            if after_score == 1:
+                                self.add_memory(previous_memories)
+
+                        # update the freq & utility attributes of retrieved memories
+                        update_utility: bool = after_score == 1
+                        self.update_memory_information(self.retrieved_memory_list[run_id][task_index], update_utility)
+
+                    counter += 1
+                    if self.use_memory_deletion:  # and counter % self.delete_freq == 0:
+                        self.delete_memory()
+
+                    t_result = {
+                        "task_id": world.task_id,
+                        "run_id": run_id,
+                        "experiment_name": self.experiment_name,
+                        "task_completed": world.task_completed(),
+                        "before_score": before_score,
+                        "after_score": after_score,
+                        "uplift_score": uplift_score,
+                        "task_history": self.history[run_id][task_index],
+                        "task_start_time": start_time,
+                    }
+                    if after_score == 1:
+                        break
+            result.append(t_result)
+
+        return result
+
+    def handle_api_response(self, response: requests.Response):
+        """Handle API response with proper error checking"""
+        if response.status_code != 200:
+            print(f"Error: {response.status_code}")
+            print(response.text)
+            return None
+
+        return response.json()
+
+    def get_memory(self, query: str):
+        """Retrieve relevant task memories based on a query"""
+        response = requests.post(
+            url=f"{self.memory_base_url}retrieve_task_memory",
+            json={
+                "query": query,
+                "enable_llm_rerank": False,
+                "enable_score_filter": False,
+                "top_k": 5,
+                "enable_llm_rewrite": False,
+            },
+        )
+
+        result = self.handle_api_response(response)
+        if not result:
+            return None
+
+        logger.info(f"query: {query}, response: {result}")
+        return result
+
+    def get_traj_from_task_history(self, task_id: str, task_history: list, reward: float):
+        """Get the trajectory from the task history."""
+        pattern = r"\n\nSome Related Experience to help you to complete the task:.*"
+        task_history[1]["content"] = re.sub(pattern, "", task_history[1]["content"], flags=re.DOTALL)
+        return {
+            "task_id": task_id,
+            "messages": task_history,
+            "score": reward,
+        }
+
+    def summary_memory(self, trajectories):
+        """Generate a summary of conversation messages and create task memories"""
+
+        response = requests.post(
+            url=f"{self.memory_base_url}summary_task_memory",
+            json={
+                "trajectories": trajectories,
+                "success_threshold": 1.0,
+                "enable_soft_comparison": True,
+                "validation_threshold": 0.5,
+            },
+        )
+
+        result = self.handle_api_response(response)
+        if not result:
+            return []
+
+        # Extract memory list from response
+        memory_list = result.get("metadata", {}).get("memory_list", [])
+        print(f"Task memory list created: {len(memory_list)} memories")
+        return memory_list
+
+    def add_memory(self, memory_list):
+        """Add the memory to the memory pool."""
+        response = requests.post(
+            url=f"{self.memory_base_url}add_task_memory",
+            json={
+                "memory_list": memory_list,
+            },
+        )
+        response.raise_for_status()
+
+    def update_memory_information(self, memory_list, update_utility: bool = False):
+        """Update the memory information."""
+        response = requests.post(
+            url=f"{self.memory_base_url}record_task_memory",
+            json={
+                "memory_list": memory_list,
+                "update_utility": update_utility,
+            },
+        )
+        response.raise_for_status()
+        logger.info(response.json())
+
+    def delete_memory(self):
+        """Delete the memory from the memory pool."""
+        response = requests.post(
+            url=f"{self.memory_base_url}delete_task_memory",
+            json={
+                "freq_threshold": self.freq_threshold,
+                "utility_threshold": self.utility_threshold,
+            },
+        )
+        response.raise_for_status()
+
+
+def main():
+    """Main function to run the Appworld React Agent."""
+    dataset_name = "train"
+    task_ids = load_task_ids(dataset_name)
+    agent = AppworldReactAgent(index=0, task_ids=task_ids[0:1], experiment_name=dataset_name, num_trials=1)
+    result = agent.execute()
+    logger.info(f"result={json.dumps(result)}")
+
+
+if __name__ == "__main__":
+    main()

benchmark/appworld/prompt.py

@@ -0,0 +1,660 @@
+# flake8: noqa: E402, E501
+# pylint: disable=C0114,C0301
+# This is a basic prompt template containing all the necessary onboarding information to solve AppWorld tasks. It explains the role of the agent and the supervisor, how to explore the API documentation, how to operate the interactive coding environment and call APIs via a simple task, and provides key instructions and disclaimers.
+
+# You can adapt it as needed by your agent. You can also choose to bypass API docs app and build your own API retrieval, e.g., for FullCodeRefl, IPFunCall, etc, we asked an LLM to predict relevant APIs separately and put its documentation directly in the prompt.
+PROMPT_TEMPLATE = """
+USER:
+I am your supervisor and you are a super intelligent AI Assistant whose job is to achieve my day-to-day tasks completely autonomously.
+
+To do this, you will need to interact with app/s (e.g., spotify, venmo, etc) using their associated APIs on my behalf. For this you will undertake a *multi-step conversation* using a python REPL environment. That is, you will write the python code and the environment will execute it and show you the result, based on which, you will write python code for the next step and so on, until you've achieved the goal. This environment will let you interact with app/s using their associated APIs on my behalf.
+
+Here are three key APIs that you need to know to get more information
+
+# To get a list of apps that are available to you.
+print(apis.api_docs.show_app_descriptions())
+
+# To get the list of apis under any app listed above, e.g. supervisor
+print(apis.api_docs.show_api_descriptions(app_name='supervisor'))
+
+# To get the specification of a particular api, e.g. supervisor app's show_account_passwords
+print(apis.api_docs.show_api_doc(app_name='supervisor', api_name='show_account_passwords'))
+
+Each code execution will produce an output that you can use in subsequent calls. Using these APIs, you can now generate code, that the environment will execute, to solve the task.
+
+For example, consider the task:
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+
+Task:
+
+What is the password for my Spotify account?
+
+ASSISTANT:
+# Okay. Lets first find which apps are available to get the password by looking at the app descriptions.
+print(apis.api_docs.show_app_descriptions())
+
+USER:
+[
+  {
+    "name": "api_docs",
+    "description": "An app to search and explore API documentation."
+  },
+  {
+    "name": "supervisor",
+    "description": "An app to access supervisor's personal information, account credentials, addresses, payment cards, and manage the assigned task."
+  },
+  ...
+  {
+    "name": "spotify",
+    "description": "A music streaming app to stream songs and manage song, album and playlist libraries."
+  },
+  {
+    "name": "venmo",
+    "description": "A social payment app to send, receive and request money to and from others."
+  },
+  ...
+]
+
+
+ASSISTANT:
+# Looks like the supervisor app could help me with that. Lets see what apis are available under this app.
+print(apis.api_docs.show_api_descriptions(app_name='supervisor'))
+
+
+USER:
+[
+  ...
+  "show_account_passwords : Show your supervisor's account passwords."
+  ...
+]
+
+
+ASSISTANT:
+# I can use `show_account_passwords` to get the passwords. Let me see its detailed specification to understand its arguments and output structure.
+print(apis.api_docs.show_api_doc(app_name='supervisor', api_name='show_account_passwords'))
+
+USER:
+{
+  'app_name': 'supervisor',
+  'api_name': 'show_account_passwords',
+  'path': '/account_passwords',
+  'method': 'GET',
+  'description': "Show your supervisor's app account passwords.",
+  'parameters': [],
+  'response_schemas': {
+    'success': [{'account_name': 'string', 'password': 'string'}],
+    'failure': {'message': 'string'}
+  }
+}
+
+ASSISTANT:
+# Okay, it requires no arguments. So I can just call it directly.
+print(apis.supervisor.show_account_passwords())
+
+USER:
+[
+  {
+    "account_name": "spotify",
+    "password": "dummy_spotify_pass"
+  },
+  {
+    "account_name": "file_system",
+    "password": "dummy_fs_pass"
+  },
+  ...
+]
+
+
+ASSISTANT:
+# So the Spotify password is an entry in the `passwords` list with the account_name=spotify.
+spotify_password = [account_password["account_name"] == "spotify" for account_password in passwords][0]["password"]
+print(spotify_password)
+
+
+USER:
+dummy_spotify_pass
+
+ASSISTANT:
+# When the task is completed, I need to call apis.supervisor.complete_task(). If there is an answer, I need to pass it as an argument `answer`. I will pass the spotify_password as an answer.
+apis.supervisor.complete_task(answer=spotify_password)
+
+
+USER:
+Marked the active task complete.
+
+
+----------------------------------------------
+
+USER:
+**Key instructions and disclaimers**:
+
+1. The email addresses, access tokens and variables (e.g. spotify_password) in the example above were only for demonstration. Obtain the correct information by calling relevant APIs yourself.
+2. Only generate valid code blocks, i.e., do not put them in ```...``` or add any extra formatting. Any thoughts should be put as code comments.
+3. You can use the variables from the previous code blocks in the subsequent code blocks.
+4. Write small chunks of code and only one chunk of code in every step. Make sure everything is working correctly before making any irreversible change.
+5. The provided Python environment has access to its standard library. But modules and functions that have a risk of affecting the underlying OS, file system or process are disabled. You will get an error if do call them.
+6. Any reference to a file system in the task instructions means the file system *app*, operable via given APIs, and not the actual file system the code is running on. So do not write code making calls to os-level modules and functions.
+7. To interact with apps, only use the provided APIs, and not the corresponding Python packages. E.g., do NOT use `spotipy` for Spotify. Remember, the environment only has the standard library.
+8. The provided API documentation has both the input arguments and the output JSON schemas. All calls to APIs and parsing its outputs must be as per this documentation.
+9. For APIs that return results in "pages", make sure to consider all pages.
+10. To obtain current date or time, use Python functions like `datetime.now()` or obtain it from the phone app. Do not rely on your existing knowledge of what the current date or time is.
+11. For all temporal requests, use proper time boundaries, e.g., if I ask for something that happened yesterday, make sure to consider the time between 00:00:00 and 23:59:59. All requests are concerning a single, default (no) time zone.
+12. Any reference to my friends, family or any other person or relation refers to the people in my phone's contacts list.
+13. All my personal information, and information about my app account credentials, physical addresses and owned payment cards are stored in the "supervisor" app. You can access them via the APIs provided by the supervisor app.
+14. Once you have completed the task, call `apis.supervisor.complete_task()`. If the task asks for some information, return it as the answer argument, i.e. call `apis.supervisor.complete_task(answer=<answer>)`. For tasks that do not require an answer, just skip the answer argument or pass it as None.
+15. The answers, when given, should be just entity or number, not full sentences, e.g., `answer=10` for "How many songs are in the Spotify queue?". When an answer is a number, it should be in numbers, not in words, e.g., "10" and not "ten".
+16. You can also pass `status="fail"` in the complete_task API if you are sure you cannot solve it and want to exit.
+17. You must make all decisions completely autonomously and not ask for any clarifications or confirmations from me or anyone else.
+
+USER:
+Using these APIs, now generate code to solve the actual task:
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+
+Task:
+
+{{ instruction }}
+"""
+
+PROMPT_TEMPLATE_WITH_EXPERIENCE = """
+USER:
+I am your supervisor and you are a super intelligent AI Assistant whose job is to achieve my day-to-day tasks completely autonomously.
+
+To do this, you will need to interact with app/s (e.g., spotify, venmo, etc) using their associated APIs on my behalf. For this you will undertake a *multi-step conversation* using a python REPL environment. That is, you will write the python code and the environment will execute it and show you the result, based on which, you will write python code for the next step and so on, until you've achieved the goal. This environment will let you interact with app/s using their associated APIs on my behalf.
+
+Here are three key APIs that you need to know to get more information
+
+# To get a list of apps that are available to you.
+print(apis.api_docs.show_app_descriptions())
+
+# To get the list of apis under any app listed above, e.g. supervisor
+print(apis.api_docs.show_api_descriptions(app_name='supervisor'))
+
+# To get the specification of a particular api, e.g. supervisor app's show_account_passwords
+print(apis.api_docs.show_api_doc(app_name='supervisor', api_name='show_account_passwords'))
+
+Each code execution will produce an output that you can use in subsequent calls. Using these APIs, you can now generate code, that the environment will execute, to solve the task.
+
+For example, consider the task:
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+
+Task:
+
+What is the password for my Spotify account?
+
+ASSISTANT:
+# Okay. Lets first find which apps are available to get the password by looking at the app descriptions.
+print(apis.api_docs.show_app_descriptions())
+
+USER:
+[
+  {
+    "name": "api_docs",
+    "description": "An app to search and explore API documentation."
+  },
+  {
+    "name": "supervisor",
+    "description": "An app to access supervisor's personal information, account credentials, addresses, payment cards, and manage the assigned task."
+  },
+  ...
+  {
+    "name": "spotify",
+    "description": "A music streaming app to stream songs and manage song, album and playlist libraries."
+  },
+  {
+    "name": "venmo",
+    "description": "A social payment app to send, receive and request money to and from others."
+  },
+  ...
+]
+
+
+ASSISTANT:
+# Looks like the supervisor app could help me with that. Lets see what apis are available under this app.
+print(apis.api_docs.show_api_descriptions(app_name='supervisor'))
+
+
+USER:
+[
+  ...
+  "show_account_passwords : Show your supervisor's account passwords."
+  ...
+]
+
+
+ASSISTANT:
+# I can use `show_account_passwords` to get the passwords. Let me see its detailed specification to understand its arguments and output structure.
+print(apis.api_docs.show_api_doc(app_name='supervisor', api_name='show_account_passwords'))
+
+USER:
+{
+  'app_name': 'supervisor',
+  'api_name': 'show_account_passwords',
+  'path': '/account_passwords',
+  'method': 'GET',
+  'description': "Show your supervisor's app account passwords.",
+  'parameters': [],
+  'response_schemas': {
+    'success': [{'account_name': 'string', 'password': 'string'}],
+    'failure': {'message': 'string'}
+  }
+}
+
+ASSISTANT:
+# Okay, it requires no arguments. So I can just call it directly.
+print(apis.supervisor.show_account_passwords())
+
+USER:
+[
+  {
+    "account_name": "spotify",
+    "password": "dummy_spotify_pass"
+  },
+  {
+    "account_name": "file_system",
+    "password": "dummy_fs_pass"
+  },
+  ...
+]
+
+
+ASSISTANT:
+# So the Spotify password is an entry in the `passwords` list with the account_name=spotify.
+spotify_password = [account_password["account_name"] == "spotify" for account_password in passwords][0]["password"]
+print(spotify_password)
+
+
+USER:
+dummy_spotify_pass
+
+ASSISTANT:
+# When the task is completed, I need to call apis.supervisor.complete_task(). If there is an answer, I need to pass it as an argument `answer`. I will pass the spotify_password as an answer.
+apis.supervisor.complete_task(answer=spotify_password)
+
+
+USER:
+Marked the active task complete.
+
+
+----------------------------------------------
+
+USER:
+**Key instructions and disclaimers**:
+
+1. The email addresses, access tokens and variables (e.g. spotify_password) in the example above were only for demonstration. Obtain the correct information by calling relevant APIs yourself.
+2. Only generate valid code blocks, i.e., do not put them in ```...``` or add any extra formatting. Any thoughts should be put as code comments.
+3. You can use the variables from the previous code blocks in the subsequent code blocks.
+4. Write small chunks of code and only one chunk of code in every step. Make sure everything is working correctly before making any irreversible change.
+5. The provided Python environment has access to its standard library. But modules and functions that have a risk of affecting the underlying OS, file system or process are disabled. You will get an error if do call them.
+6. Any reference to a file system in the task instructions means the file system *app*, operable via given APIs, and not the actual file system the code is running on. So do not write code making calls to os-level modules and functions.
+7. To interact with apps, only use the provided APIs, and not the corresponding Python packages. E.g., do NOT use `spotipy` for Spotify. Remember, the environment only has the standard library.
+8. The provided API documentation has both the input arguments and the output JSON schemas. All calls to APIs and parsing its outputs must be as per this documentation.
+9. For APIs that return results in "pages", make sure to consider all pages.
+10. To obtain current date or time, use Python functions like `datetime.now()` or obtain it from the phone app. Do not rely on your existing knowledge of what the current date or time is.
+11. For all temporal requests, use proper time boundaries, e.g., if I ask for something that happened yesterday, make sure to consider the time between 00:00:00 and 23:59:59. All requests are concerning a single, default (no) time zone.
+12. Any reference to my friends, family or any other person or relation refers to the people in my phone's contacts list.
+13. All my personal information, and information about my app account credentials, physical addresses and owned payment cards are stored in the "supervisor" app. You can access them via the APIs provided by the supervisor app.
+14. Once you have completed the task, call `apis.supervisor.complete_task()`. If the task asks for some information, return it as the answer argument, i.e. call `apis.supervisor.complete_task(answer=<answer>)`. For tasks that do not require an answer, just skip the answer argument or pass it as None.
+15. The answers, when given, should be just entity or number, not full sentences, e.g., `answer=10` for "How many songs are in the Spotify queue?". When an answer is a number, it should be in numbers, not in words, e.g., "10" and not "ten".
+16. You can also pass `status="fail"` in the complete_task API if you are sure you cannot solve it and want to exit.
+17. You must make all decisions completely autonomously and not ask for any clarifications or confirmations from me or anyone else.
+18. Some Related Experience to help you to complete the task:
+{{experience}}
+
+USER:
+Using these APIs, now generate code to solve the actual task:
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+
+Task:
+
+{{ instruction }}
+"""
+
+NEW_PROMPT_TEMPLATE = """
+USER:
+I am your supervisor and you are a super intelligent AI Assistant whose job is to achieve my day-to-day tasks completely autonomously.
+
+To do this, you will need to interact with app/s (e.g., spotify, venmo etc) using their associated APIs on my behalf. For this you will undertake a *multi-step conversation* using a python REPL environment. That is, you will write the python code and the environment will execute it and show you the result, based on which, you will write python code for the next step and so on, until you've achieved the goal. This environment will let you interact with app/s using their associated APIs on my behalf.
+
+Here are three key APIs that you need to know to get more information
+
+# To get a list of apps that are available to you.
+
+```python
+print(apis.api_docs.show_app_descriptions())
+```
+
+# To get the list of apis under any app listed above, e.g. spotify
+
+```python
+print(apis.api_docs.show_api_descriptions(app_name='spotify'))
+```
+
+# To get the specification of a particular api, e.g. spotify app's login api
+
+```python
+print(apis.api_docs.show_api_doc(app_name='spotify', api_name='login'))
+```
+
+Each code execution will produce an output that you can use in subsequent calls. Using these APIs, you can now generate code, that I will execute, to solve the task. Let's start with the task
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+Task: How many playlists do I have in Spotify?
+
+ASSISTANT:
+Okay. Lets first find which APIs are available to use in Spotify.
+Code:
+```python
+print(apis.api_docs.show_api_descriptions(app_name='spotify'))
+```
+
+USER:
+Output:
+```
+[
+ ...
+ "login : Login to your account.",
+ "logout : Logout from your account.",
+ ...
+]
+```
+
+
+ASSISTANT:
+Okay. Looks like I can use the `login` api. Lets find its specifications.
+
+Code:
+```python
+print(apis.api_docs.show_api_doc(app_name='spotify', api_name='login'))
+```
+
+
+USER:
+Output:
+```
+{
+ "app_name": "spotify",
+ "api_name": "login",
+ "path": "/auth/token",
+ "method": "POST",
+ "description": "Login to your account.",
+ "parameters": [
+  {
+   "name": "username",
+   "type": "string",
+   "required": true,
+   "description": "Your account email.",
+   "default": null,
+   "constraints": []
+  },
+  {
+   "name": "password",
+   "type": "string",
+   "required": true,
+   "description": "Your account password.",
+   "default": null,
+   "constraints": []
+  }
+ ],
+ "response_schemas": {
+  "success": {
+   "token_type": "string",
+   "access_token": "string"
+  },
+  "failure": {
+   "message": "string"
+  }
+ }
+}
+```
+
+
+ASSISTANT:
+I need the supervisor's username and password. Lets see if any app can help me get that.
+
+Code:
+```python
+print(apis.api_docs.show_app_descriptions())
+```
+
+
+USER:
+Output:
+```
+{{ app_descriptions }}
+```
+
+
+ASSISTANT:
+Looks like the supervisor app could help me with that.
+
+Code:
+```python
+print(apis.api_docs.show_api_descriptions(app_name='supervisor'))
+```
+
+
+USER:
+Output:
+```
+[
+  ...
+  "show_account_passwords : Show your supervisor's account passwords."
+  ...
+]
+```
+
+
+ASSISTANT:
+I can use `show_account_passwords` to get the passwords. So I will call that and save it in a variable for future reference.
+Code:
+```python
+passwords=apis.supervisor.show_account_passwords()
+print(passwords)
+```
+
+
+USER:
+Output:
+```
+[
+  {
+    "account_name": "spotify",
+    "password": "dummy_spotify_pass"
+  },
+  {
+    "account_name": "file_system",
+    "password": "dummy_fs_pass"
+  }
+]
+```
+
+
+ASSISTANT:
+So the Spotify password is an entry in the `passwords` list with the account_name=spotify. I can use it to login now with the provided email address: {{ supervisor.email }}.
+
+Code:
+ ```python
+spotify_password = [account_password["account_name"] == "spotify" for account_password in passwords][0]["password"]
+login_result = apis.spotify.login(username='{{ supervisor.email }}', password=spotify_password)
+print(login_result)
+```
+
+
+USER:
+Output:
+```
+{
+ "token_type": "Bearer",
+ "access_token": "fake_access_token"
+}
+```
+
+
+ASSISTANT:
+First, let's check the available APIs for the Spotify app.
+Code:
+```python
+print(apis.api_docs.show_api_descriptions(app_name='spotify'))
+```
+
+
+USER:
+Output:
+```
+[
+...
+{
+  "name": "show_playlist_library",
+  "description": "Get a list of playlists in the user's playlist library."
+},
+{
+  "name": "show_playlist",
+  "description": "Get detailed information about a specific playlist. You can view your own playlists or others' playlists if they are public."
+ },
+...
+]
+```
+
+
+ASSISTANT:
+The `show_playlist_library` API seems to be the one we need. Let's check its specifications.
+Code:
+```python
+print(apis.api_docs.show_api_doc(app_name='spotify', api_name='show_playlist_library'))
+```
+
+
+USER:
+Output:
+```
+{
+ "app_name": "spotify",
+ "api_name": "show_playlist_library",
+ "path": "/private_playlists",
+ "method": "GET",
+ "description": "Get a list of playlists in the user's playlist library.",
+ "parameters": [
+  {
+   "name": "access_token",
+   "type": "string",
+   "required": true,
+   "description": "Access token obtained from spotify app login.",
+   "default": null,
+   "constraints": []
+  },
+  {
+   "name": "page_index",
+   "type": "integer",
+   "required": false,
+   "description": "The index of the page to retrieve.",
+   "default": 0,
+   "constraints": [
+    "value >= 0.0"
+   ]
+  },
+  {
+   "name": "page_limit",
+   "type": "integer",
+   "required": false,
+   "description": "The maximum number of results to return per page.",
+   "default": 5,
+   "constraints": [
+    "value >= 1.0, <= 20.0"
+   ]
+  },
+  {
+   "name": "is_public",
+   "type": "boolean",
+   "required": false,
+   "description": "Whether to show public playlists or private playlists.",
+   "default": null,
+   "constraints": []
+  }
+ ],
+ "response_schema": [
+  {
+   "title": "string",
+   "created_at": "2019-01-01T00:00:00",
+   "is_public": true,
+   "rating": 0.0,
+   "like_count": 1,
+   "owner_email": "user@example.com",
+   "playlist_id": 1,
+   "song_ids": [
+    1
+   ]
+  }
+ ]
+}
+```
+
+
+ASSISTANT:
+I need to page through all the playlists to get the list of playlists and save it in `playlists`.
+Code:
+```python
+page_index = 0
+playlists = []
+while page_index < 10:
+  playlist_page = apis.spotify.show_playlist_library(access_token=spotify_access_token, page_index=page_index)
+  if playlist_page:
+    playlists.extend(playlist_page)
+    page_index += 1
+  else:
+    break
+num_playlists = len(playlists)
+print(num_playlists)
+
+```
+
+USER:
+Output:
+```
+23
+```
+
+
+ASSISTANT:
+Now that the task is completed, I can call apis.supervisor.complete_task(). Since this task has an answer to be returned, I will pass that as an argument.
+
+Code:
+```python
+apis.supervisor.complete_task(answer=num_playlists)
+```
+
+
+USER:
+Output:
+Marked the active task complete.
+
+
+----------------------------------------------
+
+USER:
+**Key instructions**:
+(1) Make sure to end code blocks with ``` followed by a newline(\n).
+
+(2) Remember you can use the variables in your code in subsequent code blocks.
+
+(3) Remember that the email addresses, access tokens and variables (e.g. spotify_password) in the example above are not valid anymore.
+
+(4) You can use the "supervisor" app to get information about my accounts and use the "phone" app to get information about friends and family.
+
+(5) Always look at API specifications (using apis.api_docs.show_api_doc) before calling an API.
+
+(6) Write small chunks of code and only one chunk of code in every step. Make sure everything is working correctly before making any irreversible change.
+
+(7) Many APIs return items in "pages". Make sure to run through all the pages by looping over `page_index`.
+
+(8) Once you have completed the task, make sure to call apis.supervisor.complete_task(). If the task asked for some information, return it as the answer argument, i.e. call apis.supervisor.complete_task(answer=<answer>). Many tasks do not require an answer, so in those cases, just call apis.supervisor.complete_task() i.e. do not pass any argument.
+
+USER:
+Using these APIs, now generate code to solve the actual task:
+
+My name is: {{ supervisor.first_name }} {{ supervisor.last_name }}. My personal email is {{ supervisor.email }} and phone number is {{ supervisor.phone_number }}.
+
+"""

benchmark/appworld/requirements.txt

@@ -0,0 +1,7 @@
+fastapi
+uvicorn
+uuid
+jinja2
+loguru
+openai
+pandas

benchmark/appworld/run_appworld.py

@@ -0,0 +1,197 @@
+# pylint: disable=E0611
+"""Run the Appworld React Agent."""
+
+import os
+import json
+import time
+from pathlib import Path
+
+import ray
+import requests
+from loguru import logger
+from dotenv import load_dotenv
+from appworld import load_task_ids
+from appworld_react_agent import AppworldReactAgent
+
+os.environ["APPWORLD_ROOT"] = "."
+
+load_dotenv("../../.env")
+
+
+def run_agent(
+    run_index: int,
+    max_workers: int,
+    model_name: str,
+    dataset_name: str,
+    experiment_suffix: str,
+    num_trials: int = 1,
+    use_memory: bool = False,
+    memory_base_url: str = "http://0.0.0.0:8002/",
+    use_memory_addition: bool = False,
+    use_memory_deletion: bool = False,
+    delete_freq: int = 10,
+    freq_threshold: int = 5,
+    utility_threshold: float = 0.5,
+    batch_size: int = 4,
+):
+    """Run the Appworld React Agent."""
+    experiment_name = dataset_name + "_" + experiment_suffix
+    path: Path = Path(f"./exp_result/{model_name}")
+    path.mkdir(parents=True, exist_ok=True)
+
+    task_ids = load_task_ids(dataset_name)
+
+    result: list = []
+
+    def dump_file():
+        with open(path / f"{experiment_name}.jsonl", "a", encoding="utf-8") as f:
+            for x in result:
+                f.write(json.dumps(x) + "\n")
+
+    if max_workers > 1:
+        # Process tasks in batches
+        total_tasks = len(task_ids)
+        num_batches = (total_tasks + batch_size - 1) // batch_size  # Ceiling division
+
+        logger.info(f"Total tasks: {total_tasks}, Batch size: {batch_size}, Number of batches: {num_batches}")
+
+        for batch_idx in range(num_batches):
+            # Initialize Ray for this batch
+            start_idx = batch_idx * batch_size
+            end_idx = min(start_idx + batch_size, total_tasks)
+            batch_task_ids = task_ids[start_idx:end_idx]
+
+            logger.info(f"Starting batch {batch_idx + 1}/{num_batches} with {len(batch_task_ids)} tasks")
+
+            # Initialize Ray with the number of CPUs needed for this batch
+            ray.init(num_cpus=len(batch_task_ids))
+
+            future_list: list = []
+            for i, task_id in enumerate(batch_task_ids):
+                actor = AppworldReactAgent.remote(
+                    index=start_idx + i,
+                    model_name=model_name,
+                    task_ids=[task_id],
+                    experiment_name=experiment_name,
+                    num_trials=num_trials,
+                    use_memory=use_memory,
+                    memory_base_url=memory_base_url,
+                    use_memory_addition=use_memory_addition,
+                    use_memory_deletion=use_memory_deletion,
+                    delete_freq=delete_freq,
+                    freq_threshold=freq_threshold,
+                    utility_threshold=utility_threshold,
+                )
+                future = actor.execute.remote()
+                future_list.append(future)
+                time.sleep(1)
+
+            logger.info(f"Batch {batch_idx + 1} submit complete, waiting for results...")
+
+            # Collect results from this batch
+            for i, (task_id, future) in enumerate(zip(batch_task_ids, future_list)):
+                try:
+                    t_result = ray.get(future)
+                    if t_result:
+                        if isinstance(t_result, list):
+                            result.extend(t_result)
+                        else:
+                            result.append(t_result)
+                except Exception:
+                    logger.exception(f"run ray error with task_id={task_id}")
+
+                logger.info(f"Batch {batch_idx + 1}: task {i + 1}/{len(batch_task_ids)} complete")
+
+            # Shutdown Ray to free resources before next batch
+            ray.shutdown()
+            logger.info(f"Batch {batch_idx + 1}/{num_batches} complete, Ray resources released")
+
+            # Optional: small delay between batches
+            if batch_idx < num_batches - 1:
+                time.sleep(2)
+
+        dump_file()
+
+    else:
+        agent = AppworldReactAgent(
+            index=run_index,
+            model_name=model_name,
+            task_ids=task_ids,
+            experiment_name=experiment_name,
+            num_trials=num_trials,
+            use_memory=use_memory,
+            memory_base_url=memory_base_url,
+            use_memory_addition=use_memory_addition,
+            use_memory_deletion=use_memory_deletion,
+            delete_freq=delete_freq,
+            freq_threshold=freq_threshold,
+            utility_threshold=utility_threshold,
+        )
+        result = agent.execute()
+
+        dump_file()
+
+
+def handle_api_response(response: requests.Response):
+    """Handle API response with proper error checking"""
+    if response.status_code != 200:
+        print(f"Error: {response.status_code}")
+        print(response.text)
+        return None
+
+    return response.json()
+
+
+def load_memory(path: str = "docs/library", api_url: str = "http://0.0.0.0:8002/"):
+    """Load memories from disk into the vector store"""
+    response = requests.post(
+        url=f"{api_url}load_memory",
+        json={
+            "load_file_path": path,
+            "clear_existing": True,
+        },
+    )
+
+    result = handle_api_response(response)
+    if result:
+        print(f"Memory loaded from {path}")
+
+
+def main():
+    """Main function to run the Appworld React Agent."""
+    max_workers = 16
+    batch_size = 8
+
+    num_runs = 4  # Number of runs
+    num_trials = 1  # for self-reflection
+    model_name = "qwen3-8b"
+    use_memory = True
+    use_memory_addition = False
+    use_memory_deletion = False
+    memory_base_url = "http://0.0.0.0:8002/"
+
+    if use_memory:
+        load_file_path = "docs/library/paper_data/task/appworld_qwen3_8b.jsonl"
+        load_memory(load_file_path, memory_base_url)
+
+    for i in range(num_runs):
+        run_agent(
+            run_index=i,
+            max_workers=max_workers,
+            model_name=model_name,
+            dataset_name="test_normal",
+            experiment_suffix="with-fixed-memory",
+            num_trials=num_trials,
+            use_memory=use_memory,
+            memory_base_url=memory_base_url,
+            use_memory_addition=use_memory_addition,
+            use_memory_deletion=use_memory_deletion,
+            delete_freq=5,
+            freq_threshold=5,
+            utility_threshold=0.5,
+            batch_size=batch_size,
+        )
+
+
+if __name__ == "__main__":
+    main()

benchmark/appworld/run_exp_statistic.py

@@ -0,0 +1,164 @@
+"""Run the experiment statistic."""
+
+import json
+from collections import defaultdict
+from pathlib import Path
+
+import pandas as pd
+from loguru import logger
+
+
+def calculate_best_at_k(scores: list, k: int) -> float:
+    """
+    Calculate best@k
+    Divide scores into groups of size k, take the maximum value in each group,
+    then average these maximum values
+
+    Args:
+        scores: List of after_score values for all runs of a task
+        k: Group size
+
+    Returns:
+        best@k value
+    """
+    if len(scores) % k != 0:
+        raise ValueError(f"Length of scores ({len(scores)}) must be divisible by k ({k})")
+
+    group_maxs = []
+    for i in range(0, len(scores), k):
+        group = scores[i : i + k]
+        group_maxs.append(max(group))
+
+    return sum(group_maxs) / len(group_maxs)
+
+
+def calculate_pass_at_k(scores: list, k: int) -> float:
+    """Calculate pass@k."""
+    if len(scores) % k != 0:
+        raise ValueError(f"Length of scores ({len(scores)}) must be divisible by k ({k})")
+
+    group_maxs = []
+    for i in range(0, len(scores), k):
+        group = scores[i : i + k]
+        is_pass = 1.0 if max(group) >= 1.0 else 0.0
+        group_maxs.append(is_pass)
+
+    return sum(group_maxs) / len(group_maxs)
+
+
+def get_possible_k_values(total_runs: int) -> list:
+    """
+    Get all possible k values (factors of total_runs)
+
+    Args:
+        total_runs: Total number of runs
+
+    Returns:
+        List of k values in descending order
+    """
+    k_values = []
+    for k in range(1, total_runs + 1):
+        if total_runs % k == 0:
+            k_values.append(k)
+    return sorted(k_values, reverse=True)  # Sort from large to small
+
+
+def run_exp_statistic():
+    """Run the experiment statistic."""
+    path: Path = Path("./exp_result/qwen3-8b")
+
+    # Store results for all experiments
+    all_results = {}
+
+    for file in path.glob("*.jsonl"):  # [f for f in path.glob("*.jsonl") if not f.stem[-1].isdigit()]
+        # Group results by task_id
+        task_results = defaultdict(list)
+
+        with open(file, "r", encoding="utf-8") as f:
+            for line in f:
+                if not line.strip():
+                    continue
+                data = json.loads(line)
+
+                if isinstance(data, list):
+                    for part_data in data:
+                        task_id = part_data["task_id"]
+                        after_score = part_data["after_score"]
+                        task_results[task_id].append(after_score)
+                else:
+                    task_id = data["task_id"]
+                    after_score = data["after_score"]
+                    task_results[task_id].append(after_score)
+
+        if not task_results:
+            logger.warning(f"No valid data found in file {file}")
+            continue
+
+        # Check if each task has consistent number of runs
+        run_counts = [len(scores) for scores in task_results.values()]
+        if len(set(run_counts)) > 1:
+            logger.warning(f"Inconsistent number of runs for different tasks in file {file}: {set(run_counts)}")
+            continue
+
+        num_runs = run_counts[0]
+        logger.info(f"File {file}: {len(task_results)} tasks, {num_runs} runs per task")
+
+        # Get all possible k values
+        k_values = get_possible_k_values(num_runs)
+        logger.info(f"Calculable best@k values: {k_values}")
+
+        # Calculate various best@k values
+        file_results = {"file": file.name}
+
+        for k in k_values:
+            best_at_k_scores = []
+            pass_at_k_scores = []
+            for task_id, scores in task_results.items():
+                try:
+                    best_k_score = calculate_best_at_k(scores, k)
+                    pass_at_k_score = calculate_pass_at_k(scores, k)
+                    pass_at_k_scores.append(pass_at_k_score)
+                    best_at_k_scores.append(best_k_score)
+                except ValueError as e:
+                    logger.error(f"Error calculating best@{k} for task {task_id}: {e}")
+                    continue
+
+            if best_at_k_scores:
+                avg_best_at_k = sum(best_at_k_scores) / len(best_at_k_scores)
+                file_results[f"best@{k}"] = avg_best_at_k
+                logger.info(f"file={file.name} best@{k}={avg_best_at_k:.4f}")
+
+            if pass_at_k_scores:
+                avg_pass_at_k = sum(pass_at_k_scores) / len(pass_at_k_scores)
+                file_results[f"pass@{k}"] = avg_pass_at_k
+                logger.info(f"file={file.name} pass@{k}={avg_pass_at_k:.4f}")
+
+        all_results[file.name] = file_results
+
+    # Create and display table
+    if all_results:
+        df = pd.DataFrame(list(all_results.values()))
+        df = df.set_index("file")
+
+        # Sort columns by the number in column name (best@8, best@4, best@2, best@1)
+        pass_columns = [col for col in df.columns if col.startswith("pass@")]
+        # best_columns = [col for col in df.columns]
+        pass_columns.sort(key=lambda x: x, reverse=False)
+        df = df[pass_columns]
+
+        print("\n" + "=" * 80)
+        print("Experiment Results Summary Table")
+        print("=" * 80)
+        print(df.round(4))
+        print("=" * 80)
+
+        # Save table to CSV
+        output_path = path / "experiment_summary.csv"
+        df.to_csv(output_path)
+        logger.info(f"Results table saved to: {output_path}")
+    else:
+        logger.warning("No valid experiment results found")
+
+
+if __name__ == "__main__":
+    run_exp_statistic()

benchmark/bfcl/bfcl_agent.py

@@ -0,0 +1,726 @@
+# flake8: noqa: E402
+# pylint: disable=too-many-return-statements
+"""A minimal ReAct Agent for BFCL-v3(multi-turn) tasks."""
+
+import re
+import os
+import time
+import json
+import warnings
+import tempfile
+import datetime
+from pathlib import Path
+from typing import Dict, List, Any
+
+import ray
+import requests
+from tqdm import tqdm
+from loguru import logger
+from openai import OpenAI
+from dotenv import load_dotenv
+
+from bfcl_utils import (
+    load_test_case,
+    handle_user_turn,
+    handle_tool_calls,
+    extract_tool_schema,
+    extract_single_turn_response,
+    extract_multi_turn_responses,
+    capture_and_print_score_files,
+    create_error_response,
+)
+from bfcl_eval.model_handler.api_inference.qwen import QwenAPIHandler
+from bfcl_eval.eval_checker.multi_turn_eval.multi_turn_utils import (
+    is_empty_execute_response,
+)
+from bfcl_eval.eval_checker.eval_runner import (
+    multi_turn_runner,
+    ast_file_runner,
+)
+from bfcl_eval.eval_checker.eval_runner_helper import record_cost_latency
+from bfcl_eval.utils import (
+    is_multi_turn,
+    is_relevance_or_irrelevance,
+    find_file_with_suffix,
+    load_file,
+)
+
+os.environ["BFCL_DATA_PATH"] = "data/multiturn_data_base_val.jsonl"
+os.environ["BFCL_ANSWER_PATH"] = "data/possible_answer"
+load_dotenv("../../.env")
+
+
+@ray.remote
+class BFCLAgent:
+    """A minimal ReAct Agent for BFCL-v3(multi-turn) tasks."""
+
+    def __init__(
+        self,
+        index: int,
+        task_ids: List[str],
+        experiment_name: str,
+        data_path: str = os.getenv("BFCL_DATA_PATH"),
+        answer_path: Path = Path(os.getenv("BFCL_ANSWER_PATH")),
+        model_name: str = "qwen3-8b",
+        temperature: float = 0.9,
+        max_interactions: int = 30,
+        max_response_size: int = 2000,
+        num_trials: int = 1,
+        enable_thinking: bool = False,
+        use_memory: bool = False,
+        use_memory_addition: bool = False,
+        use_memory_deletion: bool = False,
+        delete_freq: int = 10,
+        freq_threshold: int = 5,
+        utility_threshold: float = 0.5,
+        memory_base_url: str = "http://0.0.0.0:8002/",
+    ):
+
+        self.index: int = index
+        self.task_ids: List[str] = task_ids
+        self.categories: List[str] = [task_id.rsplit("_", 1)[0] if "_" in task_id else task_id for task_id in task_ids]
+        self.experiment_name: str = experiment_name
+        self.data_path: str = data_path
+        self.answer_path: Path = answer_path
+        self.model_name: str = model_name
+        self.temperature: float = temperature
+        self.max_interactions: int = max_interactions
+        self.max_response_size: int = max_response_size
+        self.num_trials: int = num_trials
+        self.enable_thinking: bool = enable_thinking
+        self.use_memory: bool = use_memory
+        self.use_memory_addition: bool = use_memory_addition if use_memory else False
+        self.use_memory_deletion: bool = use_memory_deletion if use_memory else False
+        self.delete_freq: int = delete_freq
+        self.freq_threshold: int = freq_threshold
+        self.utility_threshold: float = utility_threshold
+        self.memory_base_url: str = memory_base_url
+
+        self.llm_client = OpenAI()
+
+        self.history: List[List[List[dict]]] = [[] for _ in range(num_trials)]
+        self.retrieved_memory_list: List[List[List[Any]]] = [[] for _ in range(num_trials)]
+        self.test_entry: List[List[Dict[str, Any]]] = [[] for _ in range(num_trials)]
+        self.original_test_entry: List[List[Dict[str, Any]]] = [[] for _ in range(num_trials)]
+        self.tool_schema: List[List[List[dict]]] = [[] for _ in range(num_trials)]
+        self.current_turn = [[0 for _ in range(len(task_ids))] for _ in range(num_trials)]
+
+        for run_id in range(num_trials):
+            for task_index in range(len(task_ids)):
+                self.init_state(run_id, task_index)
+
+    def init_state(self, run_id, i) -> Dict[str, Any]:
+        """Initialize the state of the agent."""
+        self.test_entry[run_id].append(load_test_case(self.data_path, self.task_ids[i]))
+        self.original_test_entry[run_id].append(self.test_entry[run_id][i].get("extra", {}))
+        self.tool_schema[run_id].append(extract_tool_schema(self.test_entry[run_id][i].get("tools", [{}])))
+
+        msg = self.test_entry[run_id][i].get("messages", [])
+        self.history[run_id].append(msg)
+        self.retrieved_memory_list[run_id].append([])
+        self.current_turn[run_id][i] = 1
+
+    def update_task_history_with_memory(self, run_id, task_index, previous_memories: None):
+        """Update the task history with memory."""
+        query = self.history[run_id][task_index][0]["content"]
+        if len(previous_memories) == 0:
+            response = self.get_memory(query)
+            if response and "memory_list" in response["metadata"]:
+                self.retrieved_memory_list[run_id][task_index] = response["metadata"]["memory_list"]
+                task_memory = re.sub(r"\bMemory\s*(\d+)\s*[:]", r"Experience \1 :", response["answer"])
+                logger.info(f"loaded task_memory: {task_memory}")
+                self.history[run_id][task_index][0] = self.get_query_with_memory(query, task_memory)
+        else:
+            formatted_memories = []
+            for i, memory in enumerate(previous_memories, 1):
+                condition = memory["when_to_use"]
+                memory_content = memory["content"]
+                memory_text = f"Experience {i} :\n When to use: {condition}\n Content: {memory_content}\n"
+                formatted_memories.append(memory_text)
+            self.history[run_id][task_index][0] = self.get_query_with_memory(query, "\n".join(formatted_memories))
+
+    def get_query_with_memory(self, query: str, memory: str):
+        """Get the query with memory."""
+        return {
+            "role": "user",
+            "content": "Task:\n" + query + "\n\nSome Related Experience to help you to complete the task:\n" + memory,
+        }
+
+    def get_query_without_experience(self, query: str):
+        """Get the query without experience."""
+        if "\n\nSome Related Experience" in query:
+            query = query.split("\n\nSome Related Experience")[0].split("Task:\n")[-1]
+        return query
+
+    def get_traj_from_task_history(self, task_id: str, task_history: list, reward: float):
+        """Get the trajectory from the task history."""
+        return {
+            "task_id": task_id,
+            "messages": task_history,
+            "score": reward,
+        }
+
+    def handle_api_response(self, response: requests.Response):
+        """Handle API response with proper error checking"""
+        if response.status_code != 200:
+            print(f"Error: {response.status_code}")
+            print(response.text)
+            return None
+
+        return response.json()
+
+    def get_memory(self, query: str):
+        """Retrieve relevant task memories based on a query"""
+        response = requests.post(
+            url=f"{self.memory_base_url}retrieve_task_memory",
+            json={
+                "query": query,
+                "enable_llm_rerank": False,
+                "enable_score_filter": False,
+                "top_k": 5,
+                "enable_llm_rewrite": False,
+            },
+        )
+
+        result = self.handle_api_response(response)
+        if not result:
+            return None
+
+        logger.info(f"query: {query}, response: {result}")
+        return result
+
+    def summary_memory(self, trajectories):
+        """Generate a summary of conversation messages and create task memories"""
+        response = requests.post(
+            url=f"{self.memory_base_url}summary_task_memory",
+            json={
+                "trajectories": trajectories,
+                "success_threshold": 1.0,
+                "enable_soft_comparison": True,
+                "validation_threshold": 0.5,
+            },
+        )
+
+        result = self.handle_api_response(response)
+        if not result:
+            return []
+
+        # Extract memory list from response
+        memory_list = result.get("metadata", {}).get("memory_list", [])
+        logger.info(f"add new memories: {memory_list}")
+        return memory_list
+
+    def add_memory(self, memory_list):
+        """Add the memory to the memory pool."""
+        response = requests.post(
+            url=f"{self.memory_base_url}add_task_memory",
+            json={
+                "memory_list": memory_list,
+            },
+        )
+        response.raise_for_status()
+
+    def update_memory_information(self, memory_list, update_utility: bool = False):
+        """Update the memory information."""
+        response = requests.post(
+            url=f"{self.memory_base_url}record_task_memory",
+            json={
+                "memory_list": memory_list,
+                "update_utility": update_utility,
+            },
+        )
+        response.raise_for_status()
+        logger.info(response.json())
+
+    def delete_memory(self):
+        """Delete the memory from the memory pool."""
+        response = requests.post(
+            url=f"{self.memory_base_url}delete_task_memory",
+            json={
+                "freq_threshold": self.freq_threshold,
+                "utility_threshold": self.utility_threshold,
+            },
+        )
+        response.raise_for_status()
+
+    def call_llm(self, messages: list, tool_schemas: list[dict]) -> str:
+        """Call the LLM."""
+        for i in range(100):
+            try:
+                response = self.llm_client.chat.completions.create(
+                    model=self.model_name,
+                    messages=messages,
+                    tools=tool_schemas,
+                    temperature=self.temperature,
+                    seed=0,
+                    extra_body={"enable_thinking": self.enable_thinking},
+                    stream=self.enable_thinking,
+                    parallel_tool_calls=True,
+                )
+                if not self.enable_thinking:
+                    out_msg = response.choices[0].message
+                    return out_msg.model_dump(exclude_unset=True, exclude_none=True)
+                else:
+                    reasoning_content = ""  # Complete reasoning process
+                    answer_content = ""  # Define complete response
+                    tool_info = []  # Store tool invocation information
+                    is_answering = (
+                        False  # Determine whether the reasoning process has finished and response has started
+                    )
+
+                    for chunk in response:
+                        if not chunk.choices:
+                            # Handle usage information
+                            continue
+
+                        delta = chunk.choices[0].delta
+                        # Handle AI's thought process (chain reasoning)
+                        if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
+                            reasoning_content += delta.reasoning_content
+                        # Handle final response content
+                        else:
+                            if not is_answering:  # Print title when entering the response phase for the first time
+                                is_answering = True
+                            if delta.content is not None:
+                                answer_content += delta.content
+
+                            # Handle tool invocation information (support parallel tool calls)
+                            if delta.tool_calls is not None:
+                                for tool_call in delta.tool_calls:
+                                    index = tool_call.index  # Tool call index, used for parallel calls
+
+                                    # Dynamically expand tool information storage list
+                                    while len(tool_info) <= index:
+                                        tool_info.append(
+                                            {
+                                                "id": "",
+                                                "type": "function",
+                                                "index": index,
+                                                "function": {"name": "", "arguments": ""},
+                                            },
+                                        )
+
+                                    # Collect tool call ID (used for subsequent function calls)
+                                    if tool_call.id:
+                                        tool_info[index]["id"] += tool_call.id
+
+                                    # Collect function name (used for subsequent routing to specific functions)
+                                    if tool_call.function and tool_call.function.name:
+                                        tool_info[index]["function"]["name"] += tool_call.function.name
+
+                                    # Collect function parameters (in JSON string format, need subsequent parsing)
+                                    if tool_call.function and tool_call.function.arguments:
+                                        tool_info[index]["function"]["arguments"] += tool_call.function.arguments
+                    msg = {
+                        "role": "assistant",
+                        "content": answer_content,
+                        "reasoning_content": reasoning_content,
+                    }
+                    if tool_info:
+                        msg["tool_calls"] = tool_info
+                    return msg
+            except Exception as e:
+                logger.exception(f"encounter error with {e.args}")
+                time.sleep(1 + i * 10)
+
+        return "call llm error"
+
+    def env_step(self, run_id: int, index: int, messages: str) -> str:
+        """
+        Process one step in the conversation.
+        Both single turn and multi turn are supported.
+
+        Args:
+            messages: List of conversation messages, with the last one being assistant response
+            test_entry: Test entry containing initial_config, involved_classes, question etc.
+            **kwargs: Additional arguments for compatibility
+
+        Returns:
+            Dict containing next message and tools if applicable
+        """
+        try:
+            if not messages:
+                return handle_user_turn(self.original_test_entry[run_id][index], self.current_turn[run_id][index])
+
+            if messages[-1]["role"] != "assistant":
+                return create_error_response(
+                    "Last message must be from assistant",
+                )
+
+            if "tool_calls" in messages[-1] and len(messages[-1]["tool_calls"]) > 0:
+                try:
+                    tool_calls = messages[-1]["tool_calls"]
+                    decoded_calls = self._convert_tool_calls_to_execution_format(
+                        tool_calls,
+                    )
+                    # decoded_calls:[function(param=xxx)]
+                    print(f"decoded_calls: {decoded_calls}")
+                    if is_empty_execute_response(decoded_calls):
+                        warnings.warn(
+                            f"is_empty_execute_response: {is_empty_execute_response(decoded_calls)}",
+                        )
+                        return handle_user_turn(
+                            self.original_test_entry[run_id][index],
+                            self.current_turn[run_id][index],
+                        )
+                    return handle_tool_calls(
+                        tool_calls,
+                        decoded_calls,
+                        self.original_test_entry[run_id][index],
+                        self.current_turn[run_id][index],
+                    )
+                except Exception as e:
+                    warnings.warn(f"Errors during tool invocation: {str(e)}")
+                    return handle_user_turn(self.original_test_entry[run_id][index], self.current_turn[run_id][index])
+            else:
+                return handle_user_turn(self.original_test_entry[run_id][index], self.current_turn[run_id][index])
+
+        except Exception as e:
+            return create_error_response(f"Failed to process request: {str(e)}")
+
+    def _convert_tool_calls_to_execution_format(
+        self,
+        tool_calls: List[Dict[str, Any]],
+    ) -> List[str]:
+        """
+        Convert OpenAI format tool calls to execution format.
+
+        Args:
+            tool_calls: List of tool calls in OpenAI format
+
+        Returns:
+            List of function calls in string format
+        """
+        execution_list = []
+
+        for tool_call in tool_calls:
+            function = tool_call.get("function", {})
+            function_name = function.get("name", "")
+
+            try:
+                arguments = function.get("arguments", "{}")
+                if isinstance(arguments, str):
+                    args_dict = json.loads(arguments)
+                else:
+                    args_dict = arguments
+
+                args_str = ", ".join([f"{k}={repr(v)}" for k, v in args_dict.items()])
+                execution_list.append(f"{function_name}({args_str})")
+
+            except Exception:
+                execution_list.append(f"{function_name}()")
+
+        return execution_list
+
+    def get_reward(self, run_id, index) -> float:
+        """Get the reward."""
+        try:
+            if not self.history[run_id][index] or not self.original_test_entry[run_id][index]:
+                return 0.0
+
+            model_name = "env_handler"
+            handler = QwenAPIHandler(
+                model_name,
+                temperature=1.0,
+            )  # FIXME: magic number
+
+            model_result_data = self._convert_conversation_to_eval_format(run_id, index)
+
+            prompt_data = [self.original_test_entry[run_id][index]]
+
+            state = {"leaderboard_table": {}}
+            record_cost_latency(
+                state["leaderboard_table"],
+                model_name,
+                [model_result_data],
+            )
+
+            if is_relevance_or_irrelevance(self.categories[index]):
+                accuracy, _ = self._eval_relevance_test(
+                    handler,
+                    model_result_data,
+                    prompt_data,
+                    model_name,
+                    self.category,
+                )
+            else:
+                # Find the corresponding possible answer file
+
+                possible_answer_file = find_file_with_suffix(
+                    self.answer_path,
+                    self.categories[index],
+                )
+                possible_answer = load_file(possible_answer_file, sort_by_id=True)
+                possible_answer = [item for item in possible_answer if item["id"] == self.task_ids[index]]
+                if is_multi_turn(self.categories[index]):
+                    accuracy, _ = self._eval_multi_turn_test(
+                        handler,
+                        model_result_data,
+                        prompt_data,
+                        possible_answer,
+                        model_name,
+                        self.categories[index],
+                    )
+                else:
+                    accuracy, _ = self._eval_single_turn_test(
+                        handler,
+                        model_result_data,
+                        prompt_data,
+                        possible_answer,
+                        model_name,
+                        self.categories[index],
+                    )
+            print(f"model_result_data: {model_result_data}")
+            if possible_answer:
+                print(f"possible_answer: {possible_answer}")
+            else:
+                print("possible_answer: None")
+
+            return accuracy
+
+        except Exception:
+            import traceback
+
+            traceback.print_exc()
+            return 0
+
+    def _convert_conversation_to_eval_format(self, run_id, index) -> Dict[str, Any]:
+        """
+        Convert conversation history to evaluation format.
+
+        Args:
+            conversation_result: Result from run_conversation
+            original_test_entry: Original test entry data
+
+        Returns:
+            Data in format expected by multi_turn_runner or other runners
+        """
+        if is_multi_turn(self.categories[index]):
+            turns_data = extract_multi_turn_responses(self.history[run_id][index])
+        else:
+            turns_data = extract_single_turn_response(self.history[run_id][index])
+
+        model_result_data = {
+            "id": self.task_ids[index],
+            "result": turns_data,
+            "latency": 0,
+            "input_token_count": 0,
+            "output_token_count": 0,
+        }
+
+        return model_result_data
+
+    def _eval_multi_turn_test(
+        self,
+        handler,
+        model_result_data,
+        prompt_data,
+        possible_answer,
+        model_name,
+        test_category,
+    ):
+        """
+        Evaluate multi-turn test.
+
+        Args:
+            handler: Model handler instance
+            model_result_data: Model result data
+            prompt_data: Prompt data
+            possible_answer: Possible answer data
+            model_name: Name of the model
+            test_category: Category of the test
+
+        Returns:
+            Tuple of (accuracy, total_count)
+        """
+        with tempfile.TemporaryDirectory() as temp_dir:
+            score_dir = Path(temp_dir)
+            accuracy, total_count = multi_turn_runner(
+                handler=handler,
+                model_result=[model_result_data],
+                prompt=prompt_data,
+                possible_answer=possible_answer,
+                model_name=model_name,
+                test_category=test_category,
+                score_dir=score_dir,
+            )
+            capture_and_print_score_files(
+                score_dir,
+                model_name,
+                test_category,
+                "multi_turn",
+            )
+            return accuracy, total_count
+
+    def _eval_single_turn_test(
+        self,
+        handler,
+        model_result_data,
+        prompt_data,
+        possible_answer,
+        model_name,
+        test_category,
+    ):
+        """
+        Evaluate single-turn AST test.
+
+        Args:
+            handler: Model handler instance
+            model_result_data: Model result data
+            prompt_data: Prompt data
+            possible_answer: Possible answer data
+            model_name: Name of the model
+            test_category: Category of the test
+
+        Returns:
+            Tuple of (accuracy, total_count)
+        """
+        language = "Python"
+        if "java" in test_category.lower():
+            language = "Java"
+        elif "js" in test_category.lower() or "javascript" in test_category.lower():
+            language = "JavaScript"
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            score_dir = Path(temp_dir)
+            accuracy, total_count = ast_file_runner(
+                handler=handler,
+                model_result=[model_result_data],
+                prompt=prompt_data,
+                possible_answer=possible_answer,
+                language=language,
+                test_category=test_category,
+                model_name=model_name,
+                score_dir=score_dir,
+            )
+            capture_and_print_score_files(
+                score_dir,
+                model_name,
+                test_category,
+                "single_turn",
+            )
+            return accuracy, total_count
+
+    def execute(self):
+        """Execute the agent."""
+        result = []
+        counter = 0
+        for task_index, task_id in enumerate(tqdm(self.task_ids, desc=f"ray_index={self.index}")):
+            t_result = None
+            previous_memories = []
+            for run_id in range(self.num_trials):
+                try:
+                    start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+                    for i in range(self.max_interactions):
+                        if self.use_memory and i == 0:
+                            self.update_task_history_with_memory(run_id, task_index, previous_memories)
+                        llm_output = self.call_llm(
+                            self.history[run_id][task_index],
+                            self.tool_schema[run_id][task_index],
+                        )
+                        self.history[run_id][task_index].append(llm_output)
+
+                        env_output = self.env_step(run_id, task_index, self.history[run_id][task_index])
+                        # Possible env_output returns after environment interaction:
+                        # 1. Triggers a query with available tools list:
+                        #    {"messages": [{"role": "user", "content": user_query}], "tools": tools}
+                        # 2. Returns tool invocation result: {"messages":
+                        #    [{"role": "tool", "content": {<exec_results>}, 'tool_call_id': 'chatcmpl-tool-xxx'}]}
+                        #    <exec_results>: when success, returns result dicts, e.g., {"travel_cost_list": [x]},
+                        #    when error, returns error message,
+                        #    e.g., {"error": "cd: temporary: No such directory. You cannot use path ..."}
+                        # 3. Conversation completion:
+                        #    {"messages": [{"role": "env", "content": "[CONVERSATION_COMPLETED]"}]}
+                        # 4. Program error: {"messages": [{"role": "env", "content": f"[ERROR] {error_message}"}]}
+
+                        # tool_list update
+                        if "tools" in env_output:
+                            self.tool_schema[run_id][task_index] = extract_tool_schema(env_output["tools"])
+
+                        new_tool_calls = []
+                        new_tool_call_ids = []
+                        next_user_msg = ""
+                        for idx, msg in enumerate(env_output.get("messages", [])):
+                            if msg["role"] == "tool" and len(msg["content"]) > 0:
+                                new_tool_calls.append(msg.get("content", ""))
+                                new_tool_call_ids.append(msg.get("tool_call_id", ""))
+                            elif msg["role"] == "user":
+                                next_user_msg = msg.get("content", "")
+                                self.current_turn[run_id][task_index] += 1
+                            else:  # for env role messages
+                                next_user_msg = msg.get("content", "")
+
+                        if new_tool_calls:
+                            for idx, call in enumerate(new_tool_calls):
+                                self.history[run_id][task_index].append(
+                                    {"role": "tool", "content": str(call), "tool_call_id": new_tool_call_ids[idx]},
+                                )
+                        else:
+                            self.history[run_id][task_index].append({"role": "user", "content": next_user_msg})
+
+                        logger.info(f"index={self.index} task_id={task_id} iteration={i}")
+
+                        if self.task_completed(run_id, task_index):
+                            break
+
+                    reward = self.get_reward(run_id, task_index)
+                    if self.use_memory:
+                        if self.use_memory_addition:
+                            new_traj_list = [
+                                self.get_traj_from_task_history(task_id, self.history[run_id][task_index], reward),
+                            ]
+                            previous_memories = self.summary_memory(new_traj_list)
+                            if reward == 1:
+                                self.add_memory(previous_memories)
+
+                        # update the freq & utility attributes of retrieved memories
+                        update_utility: bool = reward == 1
+                        self.update_memory_information(self.retrieved_memory_list[run_id][task_index], update_utility)
+
+                    counter += 1
+                    if self.use_memory_deletion and counter % self.delete_freq == 0:
+                        self.delete_memory()
+
+                    t_result = {
+                        "run_id": run_id,
+                        "task_id": self.task_ids[task_index],
+                        "experiment_name": self.experiment_name,
+                        "task_completed": self.task_completed(run_id, task_index),
+                        "reward": reward,
+                        "task_history": self.history[run_id][task_index],
+                        "task_start_time": start_time,
+                    }
+                    if reward == 1:
+                        break
+
+                except Exception as e:
+                    logger.exception(f"encounter error with {e.args}")
+            result.append(t_result)
+        return result
+
+    def task_completed(self, run_id, index):
+        """
+        Check if task is completed.
+
+        Returns:
+            True if task is completed, False otherwise
+        """
+        return self.history[run_id][index][-1]["content"] == "[CONVERSATION_COMPLETED]"
+
+
+def main():
+    """Main function to run the BFCLAgent."""
+    with open(os.getenv("BFCL_DATA_PATH"), "r", encoding="utf-8") as f:
+        task_ids = [json.loads(l)["id"] for l in f]
+    dataset_name = "dev"
+    agent = BFCLAgent(
+        index=0,
+        task_ids=[task_ids[0]],
+        experiment_name=f"qwen3_8b_{dataset_name}",
+    )
+    result = agent.execute()
+    logger.info(f"result={json.dumps(result)}")
+
+
+if __name__ == "__main__":
+    main()

benchmark/bfcl/bfcl_utils.py

@@ -0,0 +1,399 @@
+"""Utils for evaluation on BFCL tasks"""
+
+import json
+from pathlib import Path
+from typing import Dict, List, Any
+
+from bfcl_eval.constants.default_prompts import (
+    DEFAULT_USER_PROMPT_FOR_ADDITIONAL_FUNCTION_FC,
+)
+from bfcl_eval.constants.type_mappings import GORILLA_TO_OPENAPI
+from bfcl_eval.eval_checker.multi_turn_eval.multi_turn_utils import (
+    execute_multi_turn_func_call,
+)
+from bfcl_eval.model_handler.model_style import ModelStyle
+from bfcl_eval.model_handler.utils import (
+    convert_to_tool,
+    default_decode_execute_prompting,
+    func_doc_language_specific_pre_processing,
+)
+
+
+def load_test_case(data_path: str, test_id: str | None) -> Dict[str, Any]:
+    """
+    load test cases by id
+    """
+    if not Path(data_path).exists():
+        raise FileNotFoundError(f"BFCL data file '{data_path}' not found")
+
+    if test_id is None:
+        raise ValueError("task_id is required")
+
+    with open(data_path, "r", encoding="utf-8") as f:
+        if str(test_id).isdigit():  # pylint: disable=R1720
+            idx = int(test_id)
+            for line_no, line in enumerate(f):
+                if line_no == idx:
+                    return json.loads(line)
+            raise ValueError(f"Test case index {idx} not found in {data_path}")
+        else:
+            for line in f:
+                data = json.loads(line)
+                if data.get("id") == test_id:
+                    return data
+            raise ValueError(f"Test case id '{test_id}' not found in {data_path}")
+
+
+def handle_user_turn(
+    test_entry: Dict[str, Any],
+    current_turn: int,
+) -> Dict[str, Any]:
+    """
+    Handle user turn by returning appropriate content from test_entry["question"].
+    For non-first turns, processes user query and tools.
+
+    Args:
+        test_entry: Test entry containing conversation data
+        current_turn: Current turn number
+
+    Returns:
+        Response containing next user message and tools
+    """
+    try:
+        current_turn_message = []
+        tools = compile_tools(test_entry)
+        questions = test_entry.get("question", [])
+        holdout_function = test_entry.get("holdout_function", {})
+
+        if str(current_turn) in holdout_function:
+            test_entry["function"].extend(holdout_function[str(current_turn)])
+            tools = compile_tools(test_entry)
+            assert len(questions[current_turn]) == 0, "Holdout turn should not have user message."
+            current_turn_message = [
+                {
+                    "role": "user",
+                    "content": DEFAULT_USER_PROMPT_FOR_ADDITIONAL_FUNCTION_FC,
+                },
+            ]
+            return create_user_response(current_turn_message, tools)
+        if current_turn >= len(questions):
+            return create_completion_response()
+
+        current_turn_message = questions[current_turn]
+
+        return create_user_response(current_turn_message, tools)
+
+    except Exception as e:
+        return create_error_response(f"Failed to process user message: {str(e)}")
+
+
+def handle_tool_calls(  # pylint: disable=W0613
+    tool_calls: List[Dict[str, Any]],
+    decoded_calls: list[str],
+    test_entry: Dict[str, Any],
+    current_turn: int,
+) -> Dict[str, Any]:
+    """
+    Handle tool calls from assistant.
+
+    Args:
+        tool_calls: List of tool calls in OpenAI format
+        decoded_calls: List of decoded function calls
+        test_entry: Test entry containing environment data
+        current_turn: Current turn number
+
+    Returns:
+        Response containing tool execution results
+    """
+    execution_results, _ = execute_multi_turn_func_call(
+        func_call_list=decoded_calls,
+        initial_config=test_entry["initial_config"],
+        involved_classes=test_entry["involved_classes"],
+        model_name="env_handler",
+        test_entry_id=test_entry["id"],
+        long_context=("long_context" in test_entry["id"] or "composite" in test_entry["id"]),
+        is_evaL_run=False,
+    )
+    # print('execution_results in handler_tool_calls:', execution_results)
+
+    return create_tool_response(tool_calls, execution_results)
+
+
+def compile_tools(test_entry: dict) -> list:
+    """
+    Compile functions into tools format.
+
+    Args:
+        test_entry: Test entry containing functions
+
+    Returns:
+        List of tools in OpenAI format
+    """
+    functions: list = test_entry["function"]
+    test_category: str = test_entry["id"].rsplit("_", 1)[0]
+
+    functions = func_doc_language_specific_pre_processing(functions, test_category)
+    tools = convert_to_tool(functions, GORILLA_TO_OPENAPI, ModelStyle.OpenAI_Completions)
+
+    return tools
+
+
+def create_tool_response(
+    tool_calls: List[Dict[str, Any]],
+    execution_results: List[str],
+) -> Dict[str, Any]:
+    """
+    Create response for tool calls.
+
+    Args:
+        tool_calls: List of tool calls
+        execution_results: List of execution results
+
+    Returns:
+        Response containing tool execution results
+    """
+    tool_messages = []
+    for i, (tool_call, result) in enumerate(zip(tool_calls, execution_results)):
+        tool_messages.append(
+            {
+                "role": "tool",
+                "content": result,
+                "tool_call_id": tool_call.get("id", f"call_{i}"),
+            },
+        )
+
+    return {"messages": tool_messages}
+
+
+def create_user_response(
+    question_turn: List[Dict[str, Any]],
+    tools: List[Dict[str, Any]],
+) -> Dict[str, Any]:
+    """
+    Create response containing user message.
+
+    Args:
+        question_turn: List of messages for current turn
+        tools: List of available tools
+
+    Returns:
+        Response containing user message and tools
+    """
+    user_content = ""
+    for msg in question_turn:
+        if msg["role"] == "user":
+            user_content = msg["content"]
+            break
+
+    return {"messages": [{"role": "user", "content": user_content}], "tools": tools}
+
+
+def create_completion_response() -> Dict[str, Any]:
+    """
+    Create response indicating conversation completion.
+
+    Returns:
+        Response with completion message
+    """
+    return {"messages": [{"role": "env", "content": "[CONVERSATION_COMPLETED]"}]}
+
+
+def create_error_response(error_message: str) -> Dict[str, Any]:
+    """
+    Create response for error conditions.
+
+    Args:
+        error_message: Error message to include
+
+    Returns:
+        Response containing error message
+    """
+    return {"messages": [{"role": "env", "content": f"[ERROR] {error_message}"}]}
+
+
+def decode_execute(result):
+    """
+    Decode execute results for compatibility with evaluation framework.
+
+    Args:
+        result: Result to decode
+
+    Returns:
+        List of decoded function calls
+    """
+    return default_decode_execute_prompting(result)
+
+
+def extract_single_turn_response(messages: List[Dict[str, Any]]) -> str:
+    """
+    Extract single-turn response from conversation messages.
+
+    Args:
+        messages: List of conversation messages
+
+    Returns:
+        String representation of the response
+    """
+    for message in reversed(messages):
+        if message["role"] == "assistant":
+            if "tool_calls" in message and message["tool_calls"]:
+                formatted_calls = []
+                for tool_call in message["tool_calls"]:
+                    formatted_call = format_single_tool_call_for_eval(
+                        tool_call,
+                    )
+                    if formatted_call:
+                        formatted_calls.append(formatted_call)
+                return "\n".join(formatted_calls) if formatted_calls else ""
+            elif message.get("content"):
+                return message["content"]
+
+    return ""
+
+
+def extract_multi_turn_responses(
+    messages: List[Dict[str, Any]],
+) -> List[List[str]]:
+    """
+    Extract multi-turn responses from conversation messages.
+
+    Args:
+        messages: List of conversation messages
+
+    Returns:
+        List of turns, each turn is a list of function call strings
+    """
+    turns_data = []
+    current_turn_responses = []
+
+    i = 0
+    while i < len(messages):
+        message = messages[i]
+
+        if message["role"] == "user":
+            if current_turn_responses:
+                turns_data.append(current_turn_responses)
+                current_turn_responses = []
+
+            i += 1
+            while i < len(messages) and messages[i]["role"] == "assistant":
+                assistant_msg = messages[i]
+
+                if "tool_calls" in assistant_msg and assistant_msg["tool_calls"]:
+                    for tool_call in assistant_msg["tool_calls"]:
+                        formatted_call = format_single_tool_call_for_eval(
+                            tool_call,
+                        )
+                        if formatted_call:
+                            current_turn_responses.append(formatted_call)
+
+                i += 1
+
+                while i < len(messages) and messages[i]["role"] == "tool":
+                    i += 1
+        else:
+            i += 1
+
+    if current_turn_responses:
+        turns_data.append(current_turn_responses)
+
+    return turns_data
+
+
+def format_single_tool_call_for_eval(tool_call: Dict[str, Any]) -> str:
+    """
+    Format a single tool call into string representation for evaluation.
+
+    Args:
+        tool_call: Single tool call in OpenAI format
+
+    Returns:
+        Formatted string representation
+    """
+    function = tool_call.get("function", {})
+    function_name = function.get("name", "")
+
+    try:
+        arguments = function.get("arguments", "{}")
+        if isinstance(arguments, str):
+            args_dict = json.loads(arguments)
+        else:
+            args_dict = arguments
+
+        args_str = ", ".join([f"{k}={repr(v)}" for k, v in args_dict.items()])
+        return f"{function_name}({args_str})"
+
+    except Exception:
+        return f"{function_name}()"
+
+
+def capture_and_print_score_files(
+    score_dir: Path,
+    model_name: str,
+    test_category: str,
+    eval_type: str,
+):
+    """
+    Capture and print contents of score files written to score_dir.
+
+    Args:
+        score_dir: Directory containing score files
+        model_name: Name of the model
+        test_category: Category of the test
+        eval_type: Type of evaluation (relevance/multi_turn/single_turn)
+    """
+    try:
+        print(f"\n=== {eval_type.upper()} Evaluation Result Files ===")
+        print(f"Model: {model_name}")
+        print(f"Test Category: {test_category}")
+        print(f"Evaluation Type: {eval_type}")
+
+        for file_path in score_dir.rglob("*"):
+            if file_path.is_file():
+                relative_path = file_path.relative_to(score_dir)
+                print(f"\n--- File: {relative_path} ---")
+
+                try:
+                    with open(file_path, "r", encoding="utf-8") as f:
+                        content = f.read()
+
+                    if (
+                        file_path.suffix == ".json"
+                        or content.strip().startswith("{")
+                        or content.strip().startswith("[")
+                    ):
+                        try:
+                            lines = content.strip().split("\n")
+                            formatted_lines = []
+                            for line in lines:
+                                if line.strip():
+                                    parsed = json.loads(line)
+                                    formatted_lines.append(
+                                        json.dumps(
+                                            parsed,
+                                            ensure_ascii=False,
+                                            indent=2,
+                                        ),
+                                    )
+                            content = "\n".join(formatted_lines)
+                        except json.JSONDecodeError:
+                            pass
+
+                    print(content)
+
+                except UnicodeDecodeError:
+                    print(f"[Binary file, size: {file_path.stat().st_size} bytes]")
+                except Exception as e:
+                    print(f"[Error reading file: {str(e)}]")
+
+        print(f"=== {eval_type.upper()} Evaluation Result Files End ===\n")
+
+    except Exception as e:
+        print(f"Error capturing evaluation result files: {str(e)}")
+
+
+def extract_tool_schema(tools):
+    """Reformat tool schema"""
+    for i in range(len(tools)):  # pylint: disable=C0200
+        tools[i]["function"].pop("response")
+    return tools

benchmark/bfcl/init_task_memory_pool.py

@@ -0,0 +1,246 @@
+# pylint: disable=W0621,W1514
+"""Init task memory pool"""
+import argparse
+import json
+from collections import defaultdict
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from pathlib import Path
+from typing import List, Dict, Any
+
+import requests
+
+
+def load_task_case(data_path: str, task_id: str | None) -> Dict[str, Any]:
+    """
+    load training cases by id
+    """
+    if not Path(data_path).exists():
+        raise FileNotFoundError(f"BFCL data file '{data_path}' not found")
+
+    if task_id is None:
+        raise ValueError("task_id is required")
+
+    with open(data_path, "r", encoding="utf-8") as f:
+        if str(task_id).isdigit():  # pylint: disable=R1720
+            idx = int(task_id)
+            for line_no, line in enumerate(f):
+                if line_no == idx:
+                    return json.loads(line)
+            raise ValueError(f"Task case index {idx} not found in {data_path}")
+        else:
+            for line in f:
+                data = json.loads(line)
+                if data.get("id") == task_id:
+                    return data
+            raise ValueError(f"Task case id '{task_id}' not found in {data_path}")
+
+
+def get_tool_prompt(tools):
+    """Construct prompt with provided tools"""
+    tool_prompt = (
+        "\n\n# Tools\n\nYou may call one or more functions to assist with the user query."
+        "\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>"
+    )
+    for tool in tools:
+        tool_prompt += "\n" + json.dumps(tool)
+    tool_prompt += (
+        "\n</tools>\n\nFor each function call, return a json object with function name"
+        " and arguments within <tool_call></tool_call> XML tags:"
+        '\n<tool_call>\n{"name": <function-name>, "arguments": <args-json-object>}\n</tool_call>'
+    )
+    return tool_prompt
+
+
+def group_trajectories_by_task_id(jsonl_entries: List[Dict[str, Any]]) -> List[List[Any]]:
+    """
+    group trajectories by task_id
+
+    Args:
+        jsonl_entries: JSONL entry list
+
+    Returns:
+        List[List[Any]]: trajectory list grouped by task_id
+    """
+    grouped = defaultdict(list)
+
+    for entry in jsonl_entries:
+        task_id = entry.get("task_id", "")
+        taks_case = load_task_case("data/multiturn_data_base.jsonl", task_id)
+        tools = taks_case.get("tools", [{}])
+        from bfcl_utils import extract_tool_schema
+
+        tool_schema = extract_tool_schema(tools)
+        entry["task_history"][0]["content"] += get_tool_prompt(tool_schema)
+        grouped[task_id].append(entry)
+
+    # retain only the two with the highest and lowest rewards
+    filtered_groups = []
+    for _, trajectories in grouped.items():
+        if len(trajectories) == 1:
+            # when only one trajectory, retain it
+            filtered_groups.append(trajectories)
+        elif len(trajectories) == 2:
+            # when there are two trajectories, retain them
+            filtered_groups.append(trajectories)
+        else:
+            # when there are more than two trajectories, choose the two with the highest and lowest rewards
+            trajectories.sort(key=lambda t: t["reward"])
+            min_reward_traj = trajectories[0]  # highest reward
+            max_reward_traj = trajectories[-1]  # lowest reward
+            filtered_groups.append([min_reward_traj, max_reward_traj])
+
+    return filtered_groups
+
+
+def post_to_summarizer(trajectories: List[Any], service_url: str) -> Dict[str, Any]:
+    """
+    post trajectories to summarizer service
+
+    Args:
+        trajectories: trajectory list
+        service_url: summarizer service URL
+
+    Returns:
+        response json
+    """
+    trajectory_dicts = [
+        {
+            "task_id": traj["task_id"],
+            "messages": traj["task_history"],
+            "score": traj["reward"],
+        }
+        for traj in trajectories
+    ]
+
+    request_data = {
+        "trajectories": trajectory_dicts,
+    }
+
+    try:
+        response = requests.post(f"{service_url}/summary_task_memory", json=request_data)
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        return {"error": str(e), "trajectories_count": len(trajectories)}
+
+
+def process_trajectories_with_threads(
+    grouped_trajectories: List[List[Any]],
+    service_url: str,
+    n_threads: int = 4,
+) -> List[Dict[str, Any]]:
+    """
+    use threads to process trajectories
+
+    Args:
+        grouped_trajectories: group trajectory list by task_id
+        service_url: memory summarizer service URL
+        n_threads: number of threads
+
+    Returns:
+        all results
+    """
+    results = []
+
+    with ThreadPoolExecutor(max_workers=n_threads) as executor:
+        future_to_group = {
+            executor.submit(post_to_summarizer, group, service_url): i for i, group in enumerate(grouped_trajectories)
+        }
+
+        for future in as_completed(future_to_group):
+            group_index = future_to_group[future]
+            try:
+                result = future.result()
+                result["group_index"] = group_index
+                result["group_size"] = len(grouped_trajectories[group_index])
+                results.append(result)
+                if "memory_list" in result["metadata"]:
+                    print(f'✅ Group {group_index} processed: {result["metadata"].get("memory_list", 0)}')
+                else:
+                    print(f"❌ Group {group_index} processed: error")
+            except Exception as e:
+                error_result = {
+                    "group_index": group_index,
+                    "group_size": len(grouped_trajectories[group_index]),
+                    "error": str(e),
+                }
+                results.append(error_result)
+                print(f"❌ Group {group_index} failed: {e}")
+
+    return results
+
+
+def main():
+    """Main function to convert JSONL to memories using ReMe service."""
+    parser = argparse.ArgumentParser(description="Convert JSONL to memories using ReMe service")
+    parser.add_argument("--jsonl_file", type=str, required=True, help="Path to the JSONL file")
+    parser.add_argument("--service_url", type=str, default="http://localhost:8001", help="ReMe service URL")
+    parser.add_argument("--output_file", type=str, help="Output file to save results (optional)")
+    parser.add_argument("--n_threads", type=int, default=4, help="Number of threads for processing")
+
+    args = parser.parse_args()
+
+    print(f"Processing JSONL file: {args.jsonl_file}")
+    print(f"Service URL: {args.service_url}")
+    print(f"Threads: {args.n_threads}")
+
+    with open(args.jsonl_file, "r") as f:
+        data = [json.loads(line) for line in f]
+    print(f"Loaded {len(data)} entries from JSONL file")
+
+    grouped_trajectories = group_trajectories_by_task_id(data)
+    print(f"Total groups: {len(grouped_trajectories)}")
+
+    results = process_trajectories_with_threads(
+        grouped_trajectories,
+        args.service_url,
+        n_threads=args.n_threads,
+    )
+
+    print(f"Processed {len(results)} groups")
+
+    success_count = sum(1 for r in results if "error" not in r)
+    error_count = len(results) - success_count
+    total_memories = sum(len(r["metadata"].get("memory_list", [])) for r in results if "memory_list" in r["metadata"])
+
+    print(f"✅ Success: {success_count}")
+    print(f"❌ Errors: {error_count}")
+    print(f"📊 Total task memories created: {total_memories}")
+
+    if args.output_file:
+        try:
+            summary = {
+                "jsonl_file": args.jsonl_file,
+                "total_groups": len(grouped_trajectories),
+                "success_count": success_count,
+                "error_count": error_count,
+                "total_task_memories": total_memories,
+                "results": results,
+            }
+
+            with open(args.output_file, "w") as f:
+                json.dump(summary, f, indent=2)
+            print(f"Results saved to: {args.output_file}")
+        except Exception as e:
+            print(f"Error saving results: {e}")
+
+
+if __name__ == "__main__":
+    import sys
+
+    if len(sys.argv) > 1:
+        main()
+    else:
+        print("Running in compatibility mode...")
+        with open("exp_result/qwen3-8b/with_think/bfcl-multi-turn-base-train_wo-exp.jsonl", "r") as f:
+            data = [json.loads(line) for line in f]
+
+        grouped_trajectories = group_trajectories_by_task_id(data)
+        print(f"Total groups: {len(grouped_trajectories)}")
+
+        results = process_trajectories_with_threads(
+            grouped_trajectories,
+            "http://localhost:8001",
+            n_threads=4,
+        )
+        print(f"Processed {len(results)} groups")

benchmark/bfcl/local_file_to_library.py

@@ -0,0 +1,30 @@
+"""Load the library data and convert them to the new format"""
+
+import json
+
+with open("../../file_vector_store/bfcl_test.jsonl", "r", encoding="utf-8") as f:
+    bfcl = [json.loads(line) for line in f]
+
+new_bfcl = []
+for exp in bfcl:
+    new_exp = {}
+    new_exp["workspace_id"] = exp["workspace_id"]
+    new_exp["memory_id"] = exp["unique_id"]
+    new_exp["memory_type"] = exp["metadata"]["memory_type"]
+
+    new_exp["when_to_use"] = exp["content"]
+    new_exp["content"] = exp["metadata"]["content"]
+    new_exp["score"] = exp["metadata"]["score"]
+
+    new_exp["time_created"] = exp["metadata"]["time_created"]
+    new_exp["time_modified"] = exp["metadata"]["time_modified"]
+    new_exp["author"] = exp["metadata"]["author"]
+
+    new_exp["metadata"] = exp["metadata"]["metadata"]
+    new_exp["metadata"]["utility"] = 0
+    new_exp["metadata"]["freq"] = 0
+
+    new_bfcl.append(new_exp)
+
+with open("../../library/bfcl_test.jsonl", "w", encoding="utf-8") as f:
+    f.writelines(json.dumps(item, ensure_ascii=False) + "\n" for item in new_bfcl)

benchmark/bfcl/preprocess.py

@@ -0,0 +1,73 @@
+# pylint: disable=W0621
+"""Preprocess multi-turn test cases"""
+
+import json
+
+
+from pathlib import Path
+from bfcl_eval.model_handler.model_style import ModelStyle
+from bfcl_eval.eval_checker.eval_runner_helper import load_file
+from bfcl_eval.constants.type_mappings import GORILLA_TO_OPENAPI
+from bfcl_eval.constants.eval_config import MULTI_TURN_FUNC_DOC_PATH
+from bfcl_eval.constants.category_mapping import MULTI_TURN_FUNC_DOC_FILE_MAPPING
+from bfcl_eval.model_handler.utils import (
+    convert_to_tool,
+    func_doc_language_specific_pre_processing,
+)
+
+
+def process_multi_turn_test_case(file_path, output_path):
+    """
+    Multi-turn test cases don't have the function doc in the prompt. We need to add them here.
+    """
+    test_cases = []
+    with open(output_path, "w", encoding="utf-8") as outf:
+        with open(file_path, encoding="utf-8") as f:
+            file = f.readlines()
+            for line in file:
+                entry = json.loads(line)
+                if "multi_turn" not in entry["id"]:
+                    continue
+                test_category: str = entry["id"].rsplit("_", 1)[0]
+                involved_classes = entry["involved_classes"]
+                entry["function"] = []
+                for func_collection in involved_classes:
+                    # func_doc is a list of dict
+                    func_doc = load_file(
+                        MULTI_TURN_FUNC_DOC_PATH / MULTI_TURN_FUNC_DOC_FILE_MAPPING[func_collection],
+                    )
+                    entry["function"].extend(func_doc)
+
+                # Handle Miss Func category; we need to remove the holdout function doc
+                if "missed_function" in entry:
+                    for turn_index, missed_func_names in entry["missed_function"].items():
+                        entry["missed_function"][turn_index] = []
+                        for missed_func_name in missed_func_names:
+                            for i, func_doc in enumerate(entry["function"]):
+                                if func_doc["name"] == missed_func_name:
+                                    # Add the missed function doc to the missed_function list
+                                    entry["missed_function"][turn_index].append(func_doc)
+                                    # Remove it from the function list
+                                    entry["function"].pop(i)
+                                    break
+
+                functions = func_doc_language_specific_pre_processing(entry["function"], test_category)
+                tools = convert_to_tool(functions, GORILLA_TO_OPENAPI, ModelStyle.OpenAI_Completions)
+
+                test_cases.append(
+                    {
+                        "id": entry["id"],
+                        "messages": entry["question"][0],
+                        "tools": tools,
+                        "extra": entry,
+                    },
+                )
+                outf.write(json.dumps(test_cases[-1], ensure_ascii=False) + "\n")
+
+    return test_cases
+
+
+if __name__ == "__main__":
+    file_path = Path("./gorilla/berkeley-function-call-leaderboard/bfcl_eval/data/BFCL_v3_multi_turn_base.json")
+    output_path = "data/multiturn_data_base.jsonl"
+    preprocessed_test_cases = process_multi_turn_test_case(file_path, output_path)

benchmark/bfcl/requirements.txt

@@ -0,0 +1,5 @@
+jinja2
+loguru
+openai
+ray
+pandas

benchmark/bfcl/run_bfcl.py

@@ -0,0 +1,151 @@
+"""Run evaluation on BFCL-V3-Multi-Turn-Base dataset."""
+
+import time
+import json
+from pathlib import Path
+
+import ray
+import requests
+from loguru import logger
+from dotenv import load_dotenv
+from bfcl_agent import BFCLAgent
+
+load_dotenv("../../.env")
+
+
+def run_agent(
+    max_workers: int,
+    dataset_name: str,
+    experiment_suffix: str,
+    model_name: str = "qwen3-8b",
+    enable_thinking: bool = False,
+    data_path: str = "data/multiturn_data_base_val.jsonl",
+    answer_path: Path = Path("data/possible_answer"),
+    num_trials: int = 1,
+    use_memory: bool = False,
+    memory_base_url: str = "http://0.0.0.0:8002/",
+    use_memory_addition: bool = True,
+    use_memory_deletion: bool = False,
+    delete_freq: int = 10,
+    freq_threshold: int = 5,
+    utility_threshold: float = 0.5,
+):
+    """Run the agent"""
+    experiment_name = dataset_name + "_" + experiment_suffix
+    path: Path = Path(
+        f"./exp_result/{model_name}/with_think" if enable_thinking else f"./exp_result/{model_name}/no_think",
+    )
+    path.mkdir(parents=True, exist_ok=True)
+
+    with open(data_path, "r", encoding="utf-8") as f:
+        task_ids = [json.loads(line)["id"] for line in f]
+
+    result: list = []
+
+    def dump_file():
+        with open(path / f"{experiment_name}.jsonl", "a", encoding="utf-8") as f:
+            for x in result:
+                f.write(json.dumps(x) + "\n")
+
+    future_list: list = []
+    for i in range(max_workers):
+        actor = BFCLAgent.remote(
+            index=i,
+            model_name=model_name,
+            task_ids=task_ids[i::max_workers],
+            experiment_name=experiment_name,
+            data_path=data_path,
+            answer_path=answer_path,
+            num_trials=num_trials,
+            use_memory=use_memory,
+            memory_base_url=memory_base_url,
+            use_memory_addition=use_memory_addition,
+            use_memory_deletion=use_memory_deletion,
+            delete_freq=delete_freq,
+            freq_threshold=freq_threshold,
+            utility_threshold=utility_threshold,
+            enable_thinking=enable_thinking,
+        )
+        future = actor.execute.remote()
+        future_list.append(future)
+        time.sleep(1)
+    logger.info("submit complete")
+
+    for i, future in enumerate(future_list):
+        t_result = ray.get(future)
+        if t_result:
+            if isinstance(t_result, list):
+                result.extend(t_result)
+            else:
+                result.append(t_result)
+
+        logger.info(f"{i + 1}/{len(task_ids)} complete")
+    dump_file()
+
+
+def handle_api_response(response: requests.Response):
+    """Handle API response with proper error checking"""
+    if response.status_code != 200:
+        print(f"Error: {response.status_code}")
+        print(response.text)
+        return None
+
+    return response.json()
+
+
+def load_memory(path: str = "docs/library", api_url: str = "http://0.0.0.0:8002/"):
+    """Load memories from disk into the vector store"""
+    response = requests.post(
+        url=f"{api_url}load_memory",
+        json={
+            "load_file_path": path,
+            "clear_existing": True,
+        },
+    )
+
+    result = handle_api_response(response)
+    if result:
+        print(f"Memory loaded from {path}")
+
+
+def main():
+    """Main function"""
+    max_workers = 4
+    if max_workers > 1:
+        ray.init(num_cpus=max_workers)
+
+    num_runs = 4
+    num_trials = 1
+    model_name = "qwen3-8b"
+    enable_thinking = True
+    use_memory = True
+    use_memory_addition = False
+    use_memory_deletion = False
+    memory_base_url = "http://0.0.0.0:8003/"
+
+    if use_memory:
+        load_file_path = "docs/library/paper_data/task/bfcl_qwen3_8b.jsonl"
+        load_memory(load_file_path, memory_base_url)
+
+    for _ in range(num_runs):
+        run_agent(
+            max_workers=max_workers,
+            model_name=model_name,
+            dataset_name="bfcl-multi-turn-base",
+            experiment_suffix="w-fixed-memory",
+            data_path="data/multiturn_data_base_val.jsonl",
+            answer_path=Path("data/possible_answer"),
+            enable_thinking=enable_thinking,
+            num_trials=num_trials,
+            use_memory=use_memory,
+            memory_base_url=memory_base_url,
+            use_memory_addition=use_memory_addition,
+            use_memory_deletion=use_memory_deletion,
+            delete_freq=5,
+            freq_threshold=5,
+            utility_threshold=0.5,
+        )
+
+
+if __name__ == "__main__":
+    main()

benchmark/bfcl/run_exp_statistic.py

@@ -0,0 +1,163 @@
+"""Run the experiment statistic."""
+
+import json
+from collections import defaultdict
+from pathlib import Path
+
+import pandas as pd
+from loguru import logger
+
+
+def calculate_best_at_k(scores: list, k: int) -> float:
+    """
+    Calculate best@k
+    Divide scores into groups of size k, take the maximum value in each group,
+    then average these maximum values
+
+    Args:
+        scores: List of after_score values for all runs of a task
+        k: Group size
+
+    Returns:
+        best@k value
+    """
+    if len(scores) % k != 0:
+        raise ValueError(f"Length of scores ({len(scores)}) must be divisible by k ({k})")
+
+    group_maxs = []
+    for i in range(0, len(scores), k):
+        group = scores[i : i + k]
+        group_maxs.append(max(group))
+
+    return sum(group_maxs) / len(group_maxs)
+
+
+def calculate_pass_at_k(scores: list, k: int) -> float:
+    """Calculate pass@k."""
+    if len(scores) % k != 0:
+        raise ValueError(f"Length of scores ({len(scores)}) must be divisible by k ({k})")
+
+    group_maxs = []
+    for i in range(0, len(scores), k):
+        group = scores[i : i + k]
+        is_pass = 1.0 if max(group) >= 1.0 else 0.0
+        group_maxs.append(is_pass)
+
+    return sum(group_maxs) / len(group_maxs)
+
+
+def get_possible_k_values(total_runs: int) -> list:
+    """
+    Get all possible k values (factors of total_runs)
+
+    Args:
+        total_runs: Total number of runs
+
+    Returns:
+        List of k values in descending order
+    """
+    k_values = []
+    for k in range(1, total_runs + 1):
+        if total_runs % k == 0:
+            k_values.append(k)
+    return sorted(k_values, reverse=True)  # Sort from large to small
+
+
+def run_exp_statistic():
+    """Run the experiment statistic."""
+    path: Path = Path("./exp_result/qwen3-8b/with_think")
+
+    # Store results for all experiments
+    all_results = {}
+    for file in path.glob("*.jsonl"):
+        # Group results by task_id
+        task_results = defaultdict(list)
+        print(file)
+        with open(file, "r", encoding="utf-8") as f:
+            for line in f:
+                if not line.strip():
+                    continue
+                data = json.loads(line)
+
+                if isinstance(data, list):
+                    for part_data in data:
+                        task_id = part_data["task_id"]
+                        after_score = part_data["reward"]
+                        task_results[task_id].append(after_score)
+                else:
+                    task_id = data["task_id"]
+                    after_score = data["reward"]
+                    task_results[task_id].append(after_score)
+
+        if not task_results:
+            logger.warning(f"No valid data found in file {file}")
+            continue
+
+        # Check if each task has consistent number of runs
+        run_counts = [len(scores) for scores in task_results.values()]
+        if len(set(run_counts)) > 1:
+            logger.warning(f"Inconsistent number of runs for different tasks in file {file}: {set(run_counts)}")
+            continue
+
+        num_runs = run_counts[0]
+        logger.info(f"File {file}: {len(task_results)} tasks, {num_runs} runs per task")
+
+        # Get all possible k values
+        k_values = get_possible_k_values(num_runs)
+        logger.info(f"Calculable best@k values: {k_values}")
+
+        # Calculate various best@k values
+        file_results = {"file": file.name}
+
+        for k in k_values:
+            best_at_k_scores = []
+            pass_at_k_scores = []
+            for task_id, scores in task_results.items():
+                try:
+                    best_k_score = calculate_best_at_k(scores, k)
+                    pass_at_k_score = calculate_pass_at_k(scores, k)
+                    pass_at_k_scores.append(pass_at_k_score)
+                    best_at_k_scores.append(best_k_score)
+                except ValueError as e:
+                    logger.error(f"Error calculating best@{k} for task {task_id}: {e}")
+                    continue
+
+            if best_at_k_scores:
+                avg_best_at_k = sum(best_at_k_scores) / len(best_at_k_scores)
+                file_results[f"best@{k}"] = avg_best_at_k
+                logger.info(f"file={file.name} best@{k}={avg_best_at_k:.4f}")
+
+            if pass_at_k_scores:
+                avg_pass_at_k = sum(pass_at_k_scores) / len(pass_at_k_scores)
+                file_results[f"pass@{k}"] = avg_pass_at_k
+                logger.info(f"file={file.name} pass@{k}={avg_pass_at_k:.4f}")
+
+        all_results[file.name] = file_results
+
+    # Create and display table
+    if all_results:
+        df = pd.DataFrame(list(all_results.values()))
+        df = df.set_index("file")
+
+        # Sort columns by the number in column name (best@8, best@4, best@2, best@1)
+        # best_columns = [col for col in df.columns if col.startswith('best@')]
+        best_columns = df.columns
+        best_columns.sort(key=lambda x: x, reverse=False)
+        df = df[best_columns]
+
+        print("\n" + "=" * 80)
+        print("Experiment Results Summary Table")
+        print("=" * 80)
+        print(df.round(4))
+        print("=" * 80)
+
+        # Save table to CSV
+        output_path = path / "experiment_summary.csv"
+        df.to_csv(output_path)
+        logger.info(f"Results table saved to: {output_path}")
+    else:
+        logger.warning("No valid experiment results found")
+
+
+if __name__ == "__main__":
+    run_exp_statistic()

benchmark/bfcl/split_into_trainval.py

@@ -0,0 +1,34 @@
+"""Split the JSONL file into train and validation sets."""
+
+import argparse
+import json
+import random
+
+
+def split_jsonl(input_file, train_file, val_file, ratio=0.8):
+    """Split the JSONL file into train and validation sets."""
+    with open(input_file, "r", encoding="utf-8") as f:
+        data = [json.loads(line) for line in f]
+    random.shuffle(data)
+
+    split_idx = int(len(data) * ratio)
+    train_data = data[:split_idx]
+    val_data = data[split_idx:]
+
+    with open(train_file, "w", encoding="utf-8") as f:
+        for item in train_data:
+            f.write(json.dumps(item, ensure_ascii=False) + "\n")
+    with open(val_file, "w", encoding="utf-8") as f:
+        for item in val_data:
+            f.write(json.dumps(item, ensure_ascii=False) + "\n")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Split JSONL file into train and validation sets.")
+    parser.add_argument("--input", required=True, help="Path to input JSONL file")
+    parser.add_argument("--train", required=True, help="Path to output train file")
+    parser.add_argument("--val", required=True, help="Path to output validation file")
+    parser.add_argument("--ratio", type=float, default=0.5, help="Train ratio (default: 0.8)")
+
+    args = parser.parse_args()
+    split_jsonl(args.input, args.train, args.val, args.ratio)

docs/library/paper_data/task/appworld_qwen3_14b.jsonl

@@ -1,218 +1,218 @@
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "a32ce8aa186d49e78afbd8f8f300f513", "memory_type": "task", "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", "extra_info": {"tags": ["playlist", "aggregation", "like_count", "spotify", "data_collection"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access token", "secure API calls", "Spotify"], "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": "task", "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", "extra_info": {"tags": ["api_schema", "data_availability", "metrics", "spotify"], "generalized_query": "Understanding data availability constraints in API responses"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "be3cd80e272440ecaeae1b2482c1e6b3", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "ratings", "API constraints", "review system", "user library"], "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": "task", "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", "extra_info": {"tags": ["access token", "API authentication", "token expiration", "error handling"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API", "pagination", "data scope", "subset bias"], "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": "task", "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", "extra_info": {"tags": ["spotify", "play_count", "library", "song", "data_source"], "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": "task", "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", "extra_info": {"tags": ["api_response", "data_validation", "spotify", "play_count"], "generalized_query": "Process structured data from music streaming service APIs"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "fa2c6fb6b6e6408b9b74db6dea5bc0bf", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "ratings", "uniqueness", "error handling", "user reviews"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API", "authentication", "duplicate", "reviews"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "ratings", "reviews", "pagination", "conflict resolution"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "token_management", "error_handling", "targeted_interactions"], "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": "task", "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", "extra_info": {"tags": ["data extraction", "list comprehension", "boolean error", "Venmo API"], "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": "task", "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", "extra_info": {"tags": ["api_pagination", "data_uniqueness", "file_system_integration", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["API", "file_system", "validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["data_processing", "error_handling", "dictionary_access"], "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": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "access_token", "API", "export"], "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": "task", "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", "extra_info": {"tags": ["multi-app workflow", "authentication management", "task sequencing"], "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": "task", "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", "extra_info": {"tags": ["venmo", "like_transaction", "state_check", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["type_error", "list_comprehension", "boolean_subscript"], "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": "task", "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", "extra_info": {"tags": ["file_system", "API", "authentication", "export", "Spotify"], "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": "task", "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", "extra_info": {"tags": ["data persistence", "execution context", "sequential workflow", "variable scope"], "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": "task", "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", "extra_info": {"tags": ["data_aggregation", "csv_export", "duplicate_elimination", "cross_service_integration"], "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": "task", "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", "extra_info": {"tags": ["sms_delivery", "pagination", "multi_app_authentication", "contact_resolution"], "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": "task", "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", "extra_info": {"tags": ["modular steps", "error handling", "task chaining", "data transformation"], "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": "task", "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", "extra_info": {"tags": ["contact validation", "message delivery", "error handling"], "generalized_query": "Deliver content to a contact via messaging systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "e80cceb736e245f5a1e995be2c0646fa", "memory_type": "task", "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", "extra_info": {"tags": ["note-taking", "content validation", "API usage"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "token", "data retrieval"], "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": "task", "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", "extra_info": {"tags": ["401", "authentication", "token", "endpoint", "permissions"], "generalized_query": "Accessing protected API endpoints after authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "2c9a8999b2684d6582db56470c9e5a9b", "memory_type": "task", "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", "extra_info": {"tags": ["api_dependency", "cross-referencing", "efficiency", "filtering"], "generalized_query": "Cross-referencing data between multiple APIs"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "8d63960d030d4ea6a5f565e68c1c006a", "memory_type": "task", "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", "extra_info": {"tags": ["password extraction", "error handling", "API data retrieval"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data completeness", "API pagination handling"], "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": "task", "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", "extra_info": {"tags": ["api security", "authentication", "password management", "supervisor tool"], "generalized_query": "Authenticate to financial/social apps using retrieved credentials"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "9e0a0193912f4f339e021e83b0e4e65d", "memory_type": "task", "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", "extra_info": {"tags": ["bulk_operations", "api_call_validation", "transaction_liking", "comment_creation"], "generalized_query": "Perform batch operations on multiple API resources"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "d8cee3d6e7c949fa8823f18bd2317542", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "API integration", "data parsing", "error handling"], "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": "task", "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", "extra_info": {"tags": ["message validation", "422", "payload", "text message", "formatting"], "generalized_query": "Validating message content before transmission"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "b2a433b8a42540fdad882feb05d15c45", "memory_type": "task", "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", "extra_info": {"tags": ["list_comprehension", "data_retrieval", "error_handling", "Venmo", "password_extraction"], "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": "task", "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", "extra_info": {"tags": ["API_workflow", "error_prevention", "token_management", "Venmo", "comments"], "generalized_query": "Execute sequential API operations with dependent parameters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "619e8d5acf6d413896406058fb6ed154", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credential_retrieval", "supervisor_api", "venmo_login"], "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": "task", "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", "extra_info": {"tags": ["list filtering", "boolean trap", "data retrieval", "API interaction"], "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": "task", "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", "extra_info": {"tags": ["date filtering", "API parameters", "transaction direction", "temporal queries"], "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": "task", "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", "extra_info": {"tags": ["bulk operations", "error isolation", "API reliability", "transactional integrity"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "authentication", "recommendations", "supervisor", "API chaining"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_aggregation", "frequency_analysis", "api_recommendations"], "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": "task", "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", "extra_info": {"tags": ["API authentication", "credential retrieval", "Spotify recommendations"], "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": "task", "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", "extra_info": {"tags": ["API pagination", "data coverage", "frequency analysis", "recommendation systems"], "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": "task", "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", "extra_info": {"tags": ["credential retrieval", "supervisor app", "API authentication", "Spotify integration"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "libraries", "playlists", "data sources", "incomplete check"], "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": "task", "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", "extra_info": {"tags": ["spotify", "libraries", "cross-reference", "validation", "song"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access token", "API security"], "generalized_query": "Access user-specific data requiring authentication tokens."}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "b1754afcc1bd4e55b2aee5ac5066faf5", "memory_type": "task", "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", "extra_info": {"tags": ["api-integration", "authentication", "data-parsing", "payment-automation"], "generalized_query": "Automate cross-platform financial transactions using API integrations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "649e06289ef4469a96c2259d0f2380e7", "memory_type": "task", "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", "extra_info": {"tags": ["security", "authentication", "credential-management", "api-access"], "generalized_query": "Accessing stored credentials for multi-service API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "e857e21281a34437bd1907f377a50d00", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "timestamp", "chronological", "API", "data interpretation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token management", "security", "Spotify API"], "generalized_query": "Accessing user-specific data requiring authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "6865407377bd48f5a953d7b1efc576bb", "memory_type": "task", "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", "extra_info": {"tags": ["api", "response", "validation", "keyerror", "data-extraction"], "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": "task", "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", "extra_info": {"tags": ["data-parsing", "string-conversion", "financial-data", "formatting"], "generalized_query": "Extract numerical values from formatted text content"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "6c7e58f4f8844fab8733dd1aacec38fc", "memory_type": "task", "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", "extra_info": {"tags": ["contact-verification", "payment-processing", "error-handling", "user-validation"], "generalized_query": "Execute financial transactions based on contact information"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "f73a8858b0394c3b9b776d34448a017f", "memory_type": "task", "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", "extra_info": {"tags": ["credential_extraction", "data_structure_errors", "validation"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "token_expiration", "financial_transactions"], "generalized_query": "Maintain valid authentication tokens for financial transaction APIs"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "549a0d6c4ffe41b398698e596fae245b", "memory_type": "task", "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", "extra_info": {"tags": ["contact_validation", "payment_recipients", "data_integrity"], "generalized_query": "Verify recipient contact information before initiating financial transactions"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "8099f6e3d9cd4332b86403a3bfdf99bb", "memory_type": "task", "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", "extra_info": {"tags": ["cross-app", "relationship-verification", "transaction-filtering"], "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": "task", "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", "extra_info": {"tags": ["date-filtering", "api-parameters", "financial-aggregation"], "generalized_query": "Aggregate financial transactions within specific temporal boundaries"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "4ecaad63525147e4aa91ebcf6e031760", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "API filtering", "data aggregation"], "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": "task", "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", "extra_info": {"tags": ["venmo", "transactions", "filtering", "coworkers", "api"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "error_handling", "credential_management"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "artist follow", "genre filtering", "playlist processing"], "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": "task", "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", "extra_info": {"tags": ["user preferences", "social connections", "task automation"], "generalized_query": "Automate social connections based on user content preferences"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "49a9cebcbbbc49a7b6885f182f9c00ff", "memory_type": "task", "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", "extra_info": {"tags": ["api_schema", "data_extraction", "keyerror", "field_validation"], "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": "task", "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", "extra_info": {"tags": ["password", "retrieval", "list", "comprehension", "type", "error"], "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": "task", "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", "extra_info": {"tags": ["api", "authentication", "validation", "error", "handling", "workflow"], "generalized_query": "Authenticating and querying financial data from secure platforms"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "a21704576994421d88da1b793775c9b8", "memory_type": "task", "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", "extra_info": {"tags": ["data", "validation", "api", "type", "error"], "generalized_query": "Executing task completion with data type validation requirements"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "c0a07b20a3ba49c8a560228f540e02af", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "artist follow", "playlist analysis", "genre filtering"], "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": "task", "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", "extra_info": {"tags": ["authentication", "bulk operations", "token management"], "generalized_query": "Perform authenticated bulk actions on social media platforms"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "68d562d85dac4b5c9c7672397110e92a", "memory_type": "task", "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", "extra_info": {"tags": ["file parsing", "data extraction", "bill calculation"], "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": "task", "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", "extra_info": {"tags": ["directory traversal", "API pagination", "file listing"], "generalized_query": "Retrieving file listings from a file system API"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "10a5fdc559dd43d4ad77e0030f796bfd", "memory_type": "task", "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", "extra_info": {"tags": ["numerical parsing", "currency symbols", "text processing", "data extraction"], "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": "task", "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", "extra_info": {"tags": ["list comprehension", "generator expression", "single-value retrieval", "boolean error"], "generalized_query": "Retrieving specific items from collections using conditional logic"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "04352eeb7cac4b58aa2ddbd34d11bed2", "memory_type": "task", "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", "extra_info": {"tags": ["file type detection", "binary data handling", "content validation", "directory processing"], "generalized_query": "Processing mixed file types in directory listings"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "3d74bfd77c1e48928e5de871bccc8829", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "genre-filtering", "artist-follow", "api-calls"], "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": "task", "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", "extra_info": {"tags": ["syntax-error", "api-execution", "string-formatting"], "generalized_query": "Execute API operations with properly formatted string parameters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "448b84d0991d4a98b6c3b60e0e346a9c", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "access_token", "year_filtering", "authentication"], "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": "task", "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", "extra_info": {"tags": ["text_parsing", "financial_data", "file_content", "format_assumptions"], "generalized_query": "Extracting numerical values from semi-structured text documents"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "3f8443edfac34d6f9cbc302e0eebb2cf", "memory_type": "task", "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", "extra_info": {"tags": ["task_completion", "supervisor_api", "answer_format", "validation"], "generalized_query": "Submitting task results through supervisor API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "a04cffae310141fea7122ebd57bcdc9c", "memory_type": "task", "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", "extra_info": {"tags": ["API parameters", "validation errors", "file organization"], "generalized_query": "Organizing files into subdirectories based on metadata criteria"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "a73cda1e1f0a4b28895c5d63c58e0eb0", "memory_type": "task", "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", "extra_info": {"tags": ["file existence check", "directory structure", "bulk operations"], "generalized_query": "Relocating files to new directory structures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "81c96cb84e0c4bf6b7f4750cb4bddbce", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "supervisor", "credentials", "file_system"], "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": "task", "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", "extra_info": {"tags": ["metadata", "categorization", "timestamp", "file_organization"], "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": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "access_token", "API"], "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": "task", "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", "extra_info": {"tags": ["file_metadata", "date_parsing", "API_data"], "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": "task", "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", "extra_info": {"tags": ["file_organization", "api_authentication", "metadata_parsing", "directory_management"], "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": "task", "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", "extra_info": {"tags": ["directory_creation", "recursive_parameter", "path_validation", "422_error"], "generalized_query": "Creating nested directory structures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "61023a4aa2854422af183a5f831a21bb", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "api_parameters", "error_resolution", "token_management"], "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": "task", "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", "extra_info": {"tags": ["release_date", "metadata_accuracy", "library_cleanup", "api_call"], "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": "task", "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", "extra_info": {"tags": ["API documentation", "redundant calls", "Spotify API", "efficiency"], "generalized_query": "Access and utilize API documentation effectively"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "f29d0bfe5e804de79eeba76ac4daccd2", "memory_type": "task", "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", "extra_info": {"tags": ["data_modification", "cross_component_operations", "consistency_check"], "generalized_query": "Perform coordinated data modifications across related system components"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "3d7fed358b2a4da48ac9e55305fa348e", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "401_error", "API_security"], "generalized_query": "Accessing protected resources through API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "141c33587fcf4657af3bccd6882077c3", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "playlist", "authentication", "api-optimization", "existing-resources"], "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": "task", "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", "extra_info": {"tags": ["date filtering", "Spotify API", "song metadata"], "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": "task", "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", "extra_info": {"tags": ["code syntax", "API execution", "error prevention"], "generalized_query": "Execute API calls to modify music library contents"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "f4d3d9af9f8c4a67a1fda2c258d00f24", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "API-calls", "data-validation", "Spotify", "collection-modification"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token", "supervisor", "api-access"], "generalized_query": "Accessing user-specific data across apps requiring authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "1949b411b2a243edad4e0d5517aeb4bc", "memory_type": "task", "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", "extra_info": {"tags": ["API", "data structure", "error handling", "Spotify"], "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": "task", "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", "extra_info": {"tags": ["playlist", "duplicate check", "Spotify", "error prevention"], "generalized_query": "Avoiding duplicate content in playlist management"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "c380a0d3efa640f485475f0813e4d73f", "memory_type": "task", "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", "extra_info": {"tags": ["API schema validation", "date filtering", "playlist management"], "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": "task", "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", "extra_info": {"tags": ["workflow validation", "temporal filtering", "data consistency"], "generalized_query": "Execute coordinated data modifications across related system components"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "c533dc6c4a1042c9831fc9bdd9bd5c5a", "memory_type": "task", "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", "extra_info": {"tags": ["data-type-validation", "nested-conditions", "api-pagination", "set-operations"], "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": "task", "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", "extra_info": {"tags": ["bulk-operations", "conditional-deletion", "pagination-handling", "data-completeness"], "generalized_query": "Conditional bulk deletion with cross-entity validation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "6234bcb8f8144a31a6da2f819d0005aa", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "API", "Spotify", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential_retrieval", "token_based_auth"], "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": "task", "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", "extra_info": {"tags": ["resource_filtering", "validity_check", "content_availability"], "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": "task", "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", "extra_info": {"tags": ["api_validation", "parameter_formatting", "spotify_integration"], "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": "task", "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", "extra_info": {"tags": ["Spotify API", "library cleanup", "set operations", "nested filtering", "album validation"], "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": "task", "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", "extra_info": {"tags": ["library cleanup", "set operations", "api pagination", "composite filtering"], "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": "task", "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", "extra_info": {"tags": ["authorization", "scopes", "access_token", "library_modification", "Spotify_API"], "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": "task", "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", "extra_info": {"tags": ["password", "retrieval", "list", "comprehension", "error", "handling"], "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": "task", "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", "extra_info": {"tags": ["compression", "file", "format", "api", "specification"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "file_system", "API", "security"], "generalized_query": "Perform file system operations requiring API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "6a7ac66400d4473fbf17b7af1fc09469", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "directory_validation", "authentication", "path_handling"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "error_handling", "token_management"], "generalized_query": "Handle API authentication requirements in file system operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "1ddb7a2cbba74c9db2ce3c1041998948", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "access_token", "API"], "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": "task", "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", "extra_info": {"tags": ["directory_parsing", "path_validation", "file_filtering"], "generalized_query": "Extract meaningful directory names from file system listings"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "d8e90798599549ad9f92f68f26351ac7", "memory_type": "task", "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", "extra_info": {"tags": ["data_cleanup", "operation_ordering", "risk_management"], "generalized_query": "Perform post-processing cleanup after data transformation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "7b89b20fa909480a8e0b03914fbd8769", "memory_type": "task", "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", "extra_info": {"tags": ["recommendations", "genre_filtering", "date_validation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token_validation", "data_manipulation", "task_verification"], "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": "task", "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", "extra_info": {"tags": ["genre filtering", "string matching", "metadata validation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access token", "API security", "login flow"], "generalized_query": "Secure API access credentials through authentication flow"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "1b99cc2a263145e6aad5f98fc7055041", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "API pagination", "data completeness", "looping"], "generalized_query": "Handle paginated API responses with dynamic page indexing"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "8839a1e64eb3427182fd7927e767586a", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "API", "Spotify", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["queue_operations", "state_verification", "duplicate_actions", "media_preferences"], "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": "task", "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", "extra_info": {"tags": ["API validation", "data filtering", "task alignment"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api", "credentials", "error handling", "spotify"], "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": "task", "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", "extra_info": {"tags": ["Venmo", "payment reversal", "API integration", "transaction history"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential management", "API security"], "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": "task", "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", "extra_info": {"tags": ["API", "parameter", "validation", "Venmo", "create_transaction"], "generalized_query": "Executing a transaction via API with required parameters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "3f2905c64ebe438883dde74e97277170", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token", "api", "error handling"], "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": "task", "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", "extra_info": {"tags": ["music_queue", "song_liking", "api_validation", "queue_items"], "generalized_query": "Manipulate music player queue items via API"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "254fca1c753e4ef49489b66fcf26fa8c", "memory_type": "task", "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", "extra_info": {"tags": ["task_completion", "api_call", "batch_processing"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "user_search", "payment_refund", "data_filtering"], "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": "task", "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", "extra_info": {"tags": ["password", "list", "comprehension", "boolean", "subscriptable"], "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": "task", "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", "extra_info": {"tags": ["api", "parameter", "validation", "error", "422"], "generalized_query": "Calling API methods with parameter name mismatches"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "55651cdcb93b4efba2670ee12ff06979", "memory_type": "task", "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", "extra_info": {"tags": ["credential_retrieval", "api_authentication", "secure_storage"], "generalized_query": "Reverse an unintended financial transaction using stored credentials"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "8c1290c78fb84a2f8cc80f6fb8ae2d7a", "memory_type": "task", "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", "extra_info": {"tags": ["transaction_filtering", "timestamp_sorting", "payment_reversal"], "generalized_query": "Identify and reverse specific inter-user transactions"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "21fabf9c0bef4cf3908266e9b56c9abc", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "complete_deletion", "api_limitations", "data_retrieval"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "list_comprehension", "error_handling", "password_retrieval"], "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": "task", "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", "extra_info": {"tags": ["password", "retrieval", "generator", "error", "avoidance"], "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": "task", "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", "extra_info": {"tags": ["pagination", "deletion", "completeness", "API", "looping"], "generalized_query": "Ensuring complete deletion of paginated data results"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "7f5528b906124ffc856827ec36612961", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token", "validation", "API", "security"], "generalized_query": "Secure API operation execution with proper authentication handling"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "a6a66abda2b4468bbb906720822656ac", "memory_type": "task", "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", "extra_info": {"tags": ["api_pagination", "error_handling", "message_deletion", "task_completeness"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "boolean_error", "list_comprehension", "password_retrieval"], "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": "task", "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", "extra_info": {"tags": ["API authentication", "credential management", "supervisor integration"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "supervisor", "spotify", "api"], "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": "task", "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", "extra_info": {"tags": ["pagination", "api_search", "filters", "data_collection", "spotify"], "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": "task", "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", "extra_info": {"tags": ["error_handling", "401_handling", "auth_retry", "api_resilience", "session_management"], "generalized_query": "Implement error handling for authentication-related API failures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "6126dbbf7fc147bab45014c9806e89ac", "memory_type": "task", "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", "extra_info": {"tags": ["api_authentication", "pagination", "parameter_formatting", "token_management"], "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": "task", "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", "extra_info": {"tags": ["access_token", "api_client", "authentication_flow", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "supervisor", "password", "Spotify", "token"], "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": "task", "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", "extra_info": {"tags": ["API", "filtering", "parameters", "reggae", "followers"], "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": "task", "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", "extra_info": {"tags": ["token", "401", "authentication", "error", "refresh"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token_management", "api_security"], "generalized_query": "Executing financial transactions via API requiring authentication tokens"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "76c6dc42c2174c9bb1d295e1d1a21444", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "path_validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "list_handling", "python_best_practices"], "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": "task", "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", "extra_info": {"tags": ["math_operations", "cost_distribution", "assumption_clarity"], "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": "task", "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", "extra_info": {"tags": ["authentication", "data-parsing", "roommate-identification", "api-integration"], "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": "task", "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", "extra_info": {"tags": ["API", "parameter", "validation", "Venmo", "payment"], "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": "task", "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", "extra_info": {"tags": ["authentication", "file_system", "token_management"], "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": "task", "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", "extra_info": {"tags": ["user_input", "task_dependencies", "venmo"], "generalized_query": "Managing incomplete task information requiring user clarification"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "e992d06c76724d6c9ddf445ecc711012", "memory_type": "task", "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", "extra_info": {"tags": ["api_parameters", "venmo", "payment_request", "error_handling"], "generalized_query": "Creating payment requests in a social payment application"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "37bea09a1f7a45a6845286e7ee4b8bf0", "memory_type": "task", "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", "extra_info": {"tags": ["api_authentication", "token_management", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["markdown_editing", "note_modification", "checklist_management"], "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": "task", "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", "extra_info": {"tags": ["API authentication", "401 error", "note update", "token validation"], "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": "task", "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", "extra_info": {"tags": ["data extraction", "type error", "password retrieval", "list comprehension"], "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": "task", "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", "extra_info": {"tags": ["note-editing", "checklist-management", "content-modification"], "generalized_query": "Update checklist items in structured note content"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "914f1a32fbf44e5784b2bd340b89c89f", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token", "api_call", "dependency_check"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "list_comprehension", "boolean_logic", "iteration"], "generalized_query": "Extract specific data from nested API response formats"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "9097cab111254504ac48df1d0c214af8", "memory_type": "task", "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", "extra_info": {"tags": ["device_settings", "assumption_validation", "user_intent", "alarm_management"], "generalized_query": "Modify device settings based on inferred user intent"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "fb71d2a9d17245e28c02e7ead8ebc1ad", "memory_type": "task", "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", "extra_info": {"tags": ["data retrieval", "list filtering", "boolean handling"], "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": "task", "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", "extra_info": {"tags": ["data uniqueness", "label ambiguity", "system modification"], "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": "task", "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", "extra_info": {"tags": ["system coordination", "transactional updates", "error recovery"], "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": "task", "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", "extra_info": {"tags": ["API authentication", "access token", "authorization failure"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api-token", "note-update", "partial-match"], "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": "task", "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", "extra_info": {"tags": ["password retrieval", "list comprehension", "type error", "data extraction"], "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": "task", "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", "extra_info": {"tags": ["API response handling", "data validation", "alarm management", "conditional updates"], "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": "task", "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", "extra_info": {"tags": ["system_configuration", "state_verification", "alarm_management", "user_intent", "operation_safety"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API", "duration calculation", "error handling"], "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": "task", "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", "extra_info": {"tags": ["API authentication", "variable scope", "error handling"], "generalized_query": "Accessing secured user data through API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "e5a806619cea450894082b485ddaad6e", "memory_type": "task", "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", "extra_info": {"tags": ["duration", "playlist", "api", "approximation", "calculation"], "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": "task", "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", "extra_info": {"tags": ["pagination", "api", "data", "incompleteness", "playlists"], "generalized_query": "Processing paginated API responses for complete dataset"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "91b571599fc74ae5956865c490e93289", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "playlist duration", "API structure", "error handling", "nested API calls"], "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": "task", "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", "extra_info": {"tags": ["api", "data", "validation", "nesting", "playlist"], "generalized_query": "Extracting specific metrics from hierarchical API data"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "b0d78e29e29b43ffb7b5726ed39fe5cc", "memory_type": "task", "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", "extra_info": {"tags": ["API authentication", "token management", "variable scope"], "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": "task", "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", "extra_info": {"tags": ["data filtering", "search results", "user identification"], "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": "task", "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", "extra_info": {"tags": ["media metrics", "API response handling", "data validation"], "generalized_query": "Analyze media content metrics to identify popular items"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "28e9eec9a3b84d0db036d63e73215868", "memory_type": "task", "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", "extra_info": {"tags": ["data_validation", "parameter_types", "error_handling", "song_id"], "generalized_query": "Interacting with APIs that enforce parameter type validation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "3ee7d66701a745739979ea7b42ae8492", "memory_type": "task", "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", "extra_info": {"tags": ["API authentication", "token propagation", "efficiency", "data processing"], "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": "task", "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", "extra_info": {"tags": ["401", "token", "lifecycle", "API", "authentication"], "generalized_query": "Maintain valid authentication state across sequential API operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "5c0fdaa75e81480b878056cc0a45aa4f", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "authentication", "token", "api", "authorization"], "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": "task", "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", "extra_info": {"tags": ["data_interpretation", "user_intent", "metric_assumptions", "API_data_validation", "song_popularity"], "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": "task", "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", "extra_info": {"tags": ["Venmo", "payment requests", "state verification", "API errors"], "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": "task", "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", "extra_info": {"tags": ["API parsing", "data extraction", "type errors", "credential retrieval"], "generalized_query": "Retrieve credentials from stored account information"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "cb428e270bb64f1e85192d0a11d4a155", "memory_type": "task", "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", "extra_info": {"tags": ["Venmo", "API", "data extraction", "list comprehension", "error handling"], "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": "task", "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", "extra_info": {"tags": ["credentials", "list_comprehension", "type_error", "data_retrieval"], "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": "task", "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", "extra_info": {"tags": ["list", "comprehension", "filtering", "boolean", "subscriptable", "error"], "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": "task", "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", "extra_info": {"tags": ["pagination", "api", "looping", "edge", "cases"], "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": "task", "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", "extra_info": {"tags": ["most played song", "artist search", "play count sorting", "Spotify API"], "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": "task", "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", "extra_info": {"tags": ["API", "data extraction", "type error", "list comprehension"], "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": "task", "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", "extra_info": {"tags": ["API search", "data completeness", "play count analysis", "pagination"], "generalized_query": "Identifying minimum/maximum values from API-generated datasets"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "c8269750ff7b4ddc9d7f2ca2e7c3211f", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credential management", "security", "API calls"], "generalized_query": "Cross-app authentication and credential management"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "ce4c506faa4d457c8653dd50ea3df80d", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "password retrieval", "login", "token", "security"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data retrieval", "looping", "API limits"], "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": "task", "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", "extra_info": {"tags": ["conditional logic", "state check", "error prevention", "follow"], "generalized_query": "Perform actions only when prerequisite conditions are unmet"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "01b71723d17446d5958874b4ce313e67", "memory_type": "task", "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", "extra_info": {"tags": ["data-filtering", "set-operations", "uniqueness", "bulk-processing"], "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": "task", "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", "extra_info": {"tags": ["pagination", "maximization", "api-limits", "data-completeness"], "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": "task", "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", "extra_info": {"tags": ["artist-filter", "search-accuracy", "data-validation"], "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": "task", "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", "extra_info": {"tags": ["API", "profile", "authentication", "identifier", "error handling"], "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": "task", "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", "extra_info": {"tags": ["error handling", "HTTP status codes", "parameter validation", "API documentation"], "generalized_query": "Handling API errors during data retrieval operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_14b", "memory_id": "4d508c561a894830b7d2d02e2cec6723", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "unfollow", "pagination", "set operations", "api fields"], "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": "task", "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", "extra_info": {"tags": ["API keys", "data extraction", "error handling"], "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": "task", "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", "extra_info": {"tags": ["spotify", "follow", "idempotency", "error-handling", "user-preferences"], "generalized_query": "Automatically follow entities (e.g., artists, creators) linked to user-liked content while avoiding duplicate actions."}, "utility": 0, "freq": 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}}

docs/library/paper_data/task/appworld_qwen3_32b.jsonl

@@ -1,184 +1,184 @@
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "83bc064d7004416e9b58b868b206f0a9", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "ratings", "pagination", "api-exception-handling", "user-specific-data"], "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": "task", "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", "extra_info": {"tags": ["API", "nested data", "KeyError", "Spotify", "ratings"], "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": "task", "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", "extra_info": {"tags": ["spotify", "authentication", "pagination", "media-library", "play-count", "aggregation"], "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": "task", "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", "extra_info": {"tags": ["spotify", "play-count", "api-validation", "data-accuracy"], "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": "task", "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", "extra_info": {"tags": ["api-parameters", "constraint-validation", "error-prevention"], "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": "task", "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", "extra_info": {"tags": ["pagination handling", "dataset completeness", "API iteration", "counting strategy"], "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": "task", "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", "extra_info": {"tags": ["secure authentication", "credential management", "API login", "supervisor integration"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "like-count", "API-usage", "data-validation", "media-library"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data-aggregation", "API-iteration", "dataset-completeness"], "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": "task", "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", "extra_info": {"tags": ["api-usage", "data-structure", "rating-system", "error-handling"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data-completeness", "API", "Spotify", "dataset-retrieval"], "generalized_query": "Process complete datasets from paginated API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "2a4a0d14ae8d4353a29afae52aef3010", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "api", "login", "credentials", "venmo", "phone"], "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": "task", "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", "extra_info": {"tags": ["data-matching", "relationship-filtering", "temporal-validation", "api-pagination"], "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": "task", "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", "extra_info": {"tags": ["rating", "review", "user-specific", "api-conflict-resolution", "pagination"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data-completeness", "loop-logic"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "phone", "login", "401", "invalid"], "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": "task", "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", "extra_info": {"tags": ["pagination", "date_filtering", "transaction_processing", "social_feed"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "token_management", "contact_data", "variable_definition"], "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": "task", "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", "extra_info": {"tags": ["date filtering", "transaction processing", "datetime handling"], "generalized_query": "Apply temporal filters to transactional data streams"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "6aebfa25044448c79b8815ed7549b3b0", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "access_token", "create_file", "CSV export"], "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": "task", "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", "extra_info": {"tags": ["data deduplication", "multi-source aggregation", "unique IDs"], "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": "task", "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", "extra_info": {"tags": ["file system", "CSV export", "API restrictions", "data formatting"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data aggregation", "uniqueness", "API traversal"], "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": "task", "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", "extra_info": {"tags": ["credential-security", "api-authentication", "supervisor-app", "sensitive-data"], "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": "task", "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", "extra_info": {"tags": ["API parameters", "data structures", "pagination", "file export"], "generalized_query": "Exporting data from paginated APIs into structured files"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "dca8840734304b8cbe27d7a91ed3c2b7", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token management", "account termination"], "generalized_query": "Performing irreversible actions after multi-service operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "7bafdc2c45e24498805b1f70d907b536", "memory_type": "task", "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", "extra_info": {"tags": ["data-aggregation", "pagination", "deduplication", "api-iteration"], "generalized_query": "Compile comprehensive dataset from multiple paginated API resources"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "f26b9f209b0e46eeb820d49bf2b04904", "memory_type": "task", "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", "extra_info": {"tags": ["file-storage", "csv-generation", "authentication", "data-integrity"], "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": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "api-spec-validation", "cross-app-integration", "data-parsing"], "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": "task", "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", "extra_info": {"tags": ["data-refinement", "text-parsing", "multi-stage-filtering", "output-formatting"], "generalized_query": "Content filtering from structured text data"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "988dd378630d4dfd86ea7496987d4a9f", "memory_type": "task", "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", "extra_info": {"tags": ["API authentication", "data extraction", "error handling", "note filtering"], "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": "task", "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", "extra_info": {"tags": ["api-validation", "authentication", "data-extraction", "pagination", "sms-communication"], "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": "task", "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", "extra_info": {"tags": ["authentication retry", "error escalation", "alternative communication"], "generalized_query": "Handling persistent authentication failures in chained API workflows"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ca01a5043d043c29610f0aa54fc61d7", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "401 error", "phone app", "Venmo"], "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": "task", "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", "extra_info": {"tags": ["api debugging", "parameter validation", "venmo", "transaction actions"], "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": "task", "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", "extra_info": {"tags": ["venmo", "friend-verification", "transaction-filtering", "api-pagination", "cross-app-validation"], "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": "task", "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", "extra_info": {"tags": ["pagination", "recommendations", "artist", "Spotify", "API"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential management", "secure access", "API workflow"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_parsing", "api_response", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["spotify", "recommendations", "artist", "pagination", "frequency-analysis"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "password_reset", "gmail_api", "phone_api"], "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": "task", "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", "extra_info": {"tags": ["api_parsing", "data_structure", "gmail_api", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["batch-processing", "api-parameters", "error-resolution", "comment-creation", "liking"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "recommendations", "artist", "data aggregation", "API usage"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "security", "supervisor-api"], "generalized_query": "Access account credentials for third-party service authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "235b9863b2c34d07b2e6366ce05bb328", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "song library", "album library", "playlist library", "newest release", "pagination", "data aggregation"], "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": "task", "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", "extra_info": {"tags": ["timestamp parsing", "datetime comparison", "data normalization", "date formatting"], "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": "task", "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", "extra_info": {"tags": ["API response validation", "field name consistency", "data structure verification"], "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": "task", "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", "extra_info": {"tags": ["data-validation", "api-calls", "type-casting", "error-handling", "media-libraries"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token-based-auth", "credential-retrieval", "api-chaining"], "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": "task", "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", "extra_info": {"tags": ["spotify", "nested-data", "release-date", "paginated-apis", "metadata"], "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": "task", "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", "extra_info": {"tags": ["data-aggregation", "null-check", "validation", "cross-source-comparison"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "pagination", "data_retrieval"], "generalized_query": "Retrieving paginated data from an authenticated API"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "fe5870b2bcb14675bfc09b2915cf21ce", "memory_type": "task", "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", "extra_info": {"tags": ["user_verification", "payment_processing", "api_integration"], "generalized_query": "Cross-referencing contact information with financial transaction systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "24a09a389f0f4af79f5f0953f77781df", "memory_type": "task", "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", "extra_info": {"tags": ["api_validation", "authentication_flow", "data_parsing", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "password_reset", "error_handling"], "generalized_query": "Resolve authentication failures when accessing account-sensitive APIs"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "25c8acaa481a49078007c61224ccd679", "memory_type": "task", "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", "extra_info": {"tags": ["venmo", "pagination", "api-validation", "roommate-filtering", "authentication"], "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": "task", "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", "extra_info": {"tags": ["venmo", "payment-requests", "api-validation", "parameter-handling"], "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": "task", "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", "extra_info": {"tags": ["note-parsing", "data-cleaning", "currency-formatting", "simple_note"], "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": "task", "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", "extra_info": {"tags": ["supervisor", "credentials", "authentication", "password"], "generalized_query": "Retrieving account-specific credentials for API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "d27ca8a1cc0f449a9fa1d2b53a75b93b", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "transactions", "date-filter", "aggregation"], "generalized_query": "Aggregating financial data from paginated API responses"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "8157d1ec485d47b19a154115d1ae9f6e", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "fallback", "manual_input"], "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": "task", "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", "extra_info": {"tags": ["date_filtering", "transaction_analysis", "relationship_validation"], "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": "task", "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", "extra_info": {"tags": ["api-pagination", "data-extraction", "genre-filtering", "artist-following"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access token", "api specs", "spotify", "security"], "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": "task", "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", "extra_info": {"tags": ["music metadata", "genre filtering", "API schema validation", "pagination"], "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": "task", "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", "extra_info": {"tags": ["api-structure", "error-handling", "metadata-extraction", "paginated-apis"], "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": "task", "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", "extra_info": {"tags": ["bulk-operations", "idempotency", "deduplication", "atomic-actions"], "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": "task", "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", "extra_info": {"tags": ["file_system", "text_parsing", "financial_data", "error_handling", "directory_search"], "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": "task", "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", "extra_info": {"tags": ["api response handling", "dictionary parsing", "type errors"], "generalized_query": "Extracting specific fields from API response dictionaries"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "a22dc069efb14c888118aa21a8768685", "memory_type": "task", "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", "extra_info": {"tags": ["text parsing", "file processing", "format discovery", "string extraction"], "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": "task", "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", "extra_info": {"tags": ["file_system", "API parameters", "validation error", "parameter naming"], "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": "task", "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", "extra_info": {"tags": ["data parsing", "text extraction", "defensive programming"], "generalized_query": "Extracting numerical values from semi-structured text content"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "ecd487b51bcc41ff9b895c8136144fc3", "memory_type": "task", "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", "extra_info": {"tags": ["api-authentication", "credential-management", "token-based-auth", "file-system-access"], "generalized_query": "Access protected file systems requiring multi-stage authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "da6ffe3f7e81419692653a29d6d564e3", "memory_type": "task", "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", "extra_info": {"tags": ["API parameters", "authentication token", "file system", "validation error"], "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": "task", "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", "extra_info": {"tags": ["metadata_extraction", "file_organization", "conditional_directory_creation", "timestamp_parsing"], "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": "task", "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", "extra_info": {"tags": ["api_pagination", "authentication", "file_organization", "metadata_filtering"], "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": "task", "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", "extra_info": {"tags": ["directory_filtering", "path_validation", "file_organization"], "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": "task", "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", "extra_info": {"tags": ["API debugging", "parameter validation", "error handling", "move operation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "file_system", "API", "error_401"], "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": "task", "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", "extra_info": {"tags": ["file_path", "overwrite", "move_file", "error_422", "directory_conflict"], "generalized_query": "Move files between directories with possible duplicate filenames"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "2ba625bf62064b2f82ca204d9c38c153", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "incremental_validation", "api_rate_limiting", "data_completeness"], "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": "task", "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", "extra_info": {"tags": ["data-validation", "api-error-handling", "missing-fields", "robustness"], "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": "task", "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", "extra_info": {"tags": ["pagination", "batch-processing", "bulk-operations", "api-rate-limiting"], "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": "task", "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", "extra_info": {"tags": ["date parsing", "temporal filters", "API response format", "Spotify", "release year"], "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": "task", "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", "extra_info": {"tags": ["metadata", "api-structure", "data-validation", "filtering", "spotify"], "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": "task", "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", "extra_info": {"tags": ["error-handling", "api-debugging", "null-safety", "data-structures"], "generalized_query": "Debugging API response structures when field access fails"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "f9c6ab42faa84185844d4cbeb0692a22", "memory_type": "task", "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", "extra_info": {"tags": ["nested-collections", "error-recovery", "validation", "spotify"], "generalized_query": "Modify items in nested collections while validating existence"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "0e12490ad52344ef92949527b2674588", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "api", "token", "authentication", "pagination", "bulk-removal"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data-collection", "filtering", "completeness", "spotify"], "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": "task", "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", "extra_info": {"tags": ["api_integration", "data_parsing", "error_handling", "conditional_logic"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data-collection", "api-iteration", "playlist-count"], "generalized_query": "Retrieve complete dataset from paginated API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "afab1338be71405291aa3ccc31509de9", "memory_type": "task", "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", "extra_info": {"tags": ["syntax-error", "code-formatting", "debugging"], "generalized_query": "Execute code blocks requiring strict syntax compliance"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "91e7563395bc44c9a6f52f0c5e9004f9", "memory_type": "task", "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", "extra_info": {"tags": ["cross-app", "api-discovery", "authentication", "error-handling", "workflow"], "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": "task", "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", "extra_info": {"tags": ["api-integration", "data-parsing", "pagination", "filtering", "error-handling"], "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": "task", "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", "extra_info": {"tags": ["cleanup", "removal", "api-execution", "data-validation", "irreversible-action"], "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": "task", "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", "extra_info": {"tags": ["nested-validation", "complexity-reduction", "set-logic", "album-songs", "dependency-checks"], "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": "task", "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", "extra_info": {"tags": ["media_library_cleanup", "api_pagination", "data_intersection", "batch_processing"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token management", "credential security", "OAuth"], "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": "task", "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", "extra_info": {"tags": ["api-pagination", "data-structure-validation", "error-handling", "media-library-cleanup"], "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": "task", "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", "extra_info": {"tags": ["code formatting", "execution environment", "syntax validation"], "generalized_query": "Executing multi-step code workflows in restricted environments"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "111222e51f56456cb75c2e8da7bbe67c", "memory_type": "task", "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", "extra_info": {"tags": ["file_system", "compress_directory", "parameter-validation", "422-error"], "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": "task", "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", "extra_info": {"tags": ["directory-parsing", "string-manipulation", "data-extraction"], "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": "task", "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", "extra_info": {"tags": ["file_system", "directory", "compression", "path_manipulation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api_login", "token_management"], "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": "task", "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", "extra_info": {"tags": ["data_preservation", "directory_operations", "compression", "file_system"], "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": "task", "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", "extra_info": {"tags": ["file_system", "compress_directory", "API parameters", "directory deletion", "parameter validation"], "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": "task", "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", "extra_info": {"tags": ["supervisor API", "credential retrieval", "account passwords", "state management"], "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": "task", "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", "extra_info": {"tags": ["api_response_validation", "data_filtering", "schema_analysis"], "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": "task", "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", "extra_info": {"tags": ["auth-management", "token-refresh", "api-calls", "workflow-continuity"], "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": "task", "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", "extra_info": {"tags": ["API documentation", "error handling", "batch processing", "duplicate prevention"], "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": "task", "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", "extra_info": {"tags": ["pagination", "authentication", "access token", "data retrieval"], "generalized_query": "Access paginated resources requiring access tokens after authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "93921bc6b3ee45639bdeb218d2fe7bf1", "memory_type": "task", "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", "extra_info": {"tags": ["music filtering", "metadata retrieval", "genre classification", "release date filtering"], "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": "task", "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", "extra_info": {"tags": ["code-submission", "syntax-validation", "environment-constraints"], "generalized_query": "Executing multi-step code in constrained environments"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "7fb3246e410d4c239a67dc8a0fc3ed5e", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "genre-filtering", "api-metadata", "query-parameters", "data-validation"], "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": "task", "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", "extra_info": {"tags": ["api-method-missing", "documentation-check", "parameter-verification"], "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": "task", "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", "extra_info": {"tags": ["api-optimization", "error-handling", "state-validation", "batch-processing", "spotify"], "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": "task", "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", "extra_info": {"tags": ["data-freshness", "real-time-updates", "stale-data-prevention", "music-queue", "state-synchronization"], "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": "task", "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", "extra_info": {"tags": ["api-validation", "pagination", "sequential-workflow", "error-prevention"], "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": "task", "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", "extra_info": {"tags": ["venmo", "pagination", "payment", "api", "data-retrieval"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential-retrieval", "supervisor", "security"], "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": "task", "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", "extra_info": {"tags": ["api_debugging", "venmo", "parameter_validation", "transaction_errors"], "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": "task", "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", "extra_info": {"tags": ["venmo", "payment_refund", "api_schema", "user_search", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["venmo", "pagination", "payment verification", "transaction history"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "NameError", "Venmo", "payment_request"], "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": "task", "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", "extra_info": {"tags": ["authentication", "password_reset", "credential_validation", "api_failure"], "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": "task", "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", "extra_info": {"tags": ["message-deletion", "pagination", "phone", "spam", "bulk-operations"], "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": "task", "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", "extra_info": {"tags": ["authentication", "password_reset", "login_failure", "api_credentials"], "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": "task", "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", "extra_info": {"tags": ["pagination", "access_token", "message_deletion", "api_call"], "generalized_query": "Processing paginated results for bulk message deletion operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "27b43762c4374695a7d4404c3ead242e", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "phone", "messages", "api"], "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": "task", "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", "extra_info": {"tags": ["password_reset", "non_interactive", "input", "security"], "generalized_query": "Reset account passwords programmatically without user input"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "069d679022cb42ac9663442a4d121b16", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "artist search", "genre query", "follower count", "API validation"], "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": "task", "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", "extra_info": {"tags": ["pagination", "page_index", "API constraints", "data retrieval"], "generalized_query": "Retrieve complete dataset from paginated API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "f6b285fe06f14233891e126d9b5995ce", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credential-security", "supervisor-api", "token-based-auth"], "generalized_query": "Authenticate to music platforms using supervisor-managed credentials"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "335c17476dd14c99b57ff7bb523323fa", "memory_type": "task", "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", "extra_info": {"tags": ["API parameters", "filtering", "pagination", "Spotify", "genre"], "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": "task", "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", "extra_info": {"tags": ["file-access", "api-authentication", "payment-requests", "parameter-validation"], "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": "task", "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", "extra_info": {"tags": ["data-extraction", "file-parsing", "string-manipulation"], "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": "task", "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", "extra_info": {"tags": ["api_search", "pagination", "filtering", "edm", "follower_count"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access-token", "api-security", "credential-management"], "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": "task", "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", "extra_info": {"tags": ["state-verification", "idempotent-operations", "transient-failures", "follow-logic"], "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": "task", "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", "extra_info": {"tags": ["venmo", "payment-requests", "api-parameters", "user-identification", "bill-splitting"], "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": "task", "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", "extra_info": {"tags": ["file-system", "data-extraction", "bill-parsing", "directory-traversal"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials management", "supervisor API", "password retrieval"], "generalized_query": "Accessing account credentials for API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "6e32c04e1ff843b8885e4363f7e7f5ab", "memory_type": "task", "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", "extra_info": {"tags": ["api-optimization", "error-handling", "parameter-validation", "file-system-navigation"], "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": "task", "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", "extra_info": {"tags": ["phone", "contacts", "relationship", "data_validation"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access_token", "note-taking", "api_credentials"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api-pagination", "credential-retrieval", "alarm-management"], "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": "task", "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", "extra_info": {"tags": ["note-search", "api-limitations", "partial-matching", "note-creation", "simple-note"], "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": "task", "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", "extra_info": {"tags": ["authentication", "access-token", "api-calls", "token-management"], "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": "task", "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", "extra_info": {"tags": ["note-update", "string-replacement", "checklist", "content-integrity"], "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": "task", "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", "extra_info": {"tags": ["pagination", "loop-safety", "api-rate-limiting"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "error_handling", "adaptation"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_retrieval", "iteration", "api_constraints"], "generalized_query": "Process paginated alarm data for modification"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "8f7bfc1a8dac483ab58ae40d711f9aee", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "supervisor", "phone", "login"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "pagination", "token_management"], "generalized_query": "Paginated API access requiring authentication tokens"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "76f45a8df5d54e26b10455d56d6db822", "memory_type": "task", "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", "extra_info": {"tags": ["alarm", "time adjustment", "disable", "recurring tasks"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "playlist duration", "song metadata", "API query", "duration calculation"], "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": "task", "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", "extra_info": {"tags": ["duration-calculation", "metadata-accuracy", "api-optimization"], "generalized_query": "Calculating media content duration from itemized metadata"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "979519a73bc642e094be952be05d53eb", "memory_type": "task", "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", "extra_info": {"tags": ["pagination", "data completeness", "api responses", "playlist retrieval"], "generalized_query": "Handling paginated API responses for complete dataset retrieval"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "6303d922cf1c493e900a2589ef351f52", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "media-duration", "api-chaining", "Spotify"], "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": "task", "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", "extra_info": {"tags": ["api_documentation", "endpoint_verification", "method_name", "spotify"], "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": "task", "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", "extra_info": {"tags": ["dictionary", "key-value", "id-mapping", "data-structure"], "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": "task", "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", "extra_info": {"tags": ["api-response", "data-validation", "pagination", "debugging"], "generalized_query": "Process nested API responses requiring multiple transformation steps"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "64e7e6b1694349d4888506177b1be000", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "api-validation", "metadata-retrieval", "parameter-validation"], "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": "task", "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", "extra_info": {"tags": ["parameter-validation", "api-documentation", "id-mapping"], "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": "task", "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", "extra_info": {"tags": ["spotify", "authentication", "private-api", "listen-counts", "authorization"], "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": "task", "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", "extra_info": {"tags": ["data-validation", "metadata-mapping", "edge-cases", "album-filtering"], "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": "task", "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", "extra_info": {"tags": ["venmo", "payment-approval", "balance-validation", "transaction-handling"], "generalized_query": "Approve pending payment requests with account balance constraints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "1991dba0c9c04ede9cfe43c4ad64146a", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "supervisor", "venmo", "password"], "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": "task", "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", "extra_info": {"tags": ["pagination", "api", "venmo", "payment", "loop"], "generalized_query": "Processing paginated results from an API endpoint"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "9739ea14422f44748e136c27d75d784b", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "search_songs", "sort_by", "play_count", "artist", "most_played"], "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": "task", "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", "extra_info": {"tags": ["authentication", "supervisor_api", "credential_management", "access_token"], "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": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "token", "Venmo", "API", "denial", "requests"], "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": "task", "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", "extra_info": {"tags": ["transaction-safety", "irreversible-operations", "confirmation-checks", "venmo"], "generalized_query": "Bulk denial/approval of transaction requests"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "f389577d64c440e7950caff9fcca12f4", "memory_type": "task", "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", "extra_info": {"tags": ["spotify", "artist filtering", "pagination", "data completeness", "api validation"], "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": "task", "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", "extra_info": {"tags": ["spotify", "authentication", "cross-account", "data-access", "privacy"], "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": "task", "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", "extra_info": {"tags": ["spotify", "play-count", "analytics", "endpoint-selection"], "generalized_query": "Extracting consumption analytics from music streaming services"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_32b", "memory_id": "025cf4813c1e46668426c8c3c27aa535", "memory_type": "task", "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", "extra_info": {"tags": ["artist filtering", "metadata validation", "multi-artist tracks", "Spotify API"], "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": "task", "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", "extra_info": {"tags": ["API pagination", "extreme value detection", "performance optimization"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "artist follow", "pagination", "API structure", "set operations"], "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": "task", "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", "extra_info": {"tags": ["api_data_parsing", "nested_data_structure", "music_platform", "artist_relationships"], "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": "task", "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", "extra_info": {"tags": ["set_operations", "user_following", "engagement_analysis", "social_platform"], "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": "task", "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", "extra_info": {"tags": ["api-pagination", "duplicate-avoidance", "batch-processing", "artist-following"], "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": "task", "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", "extra_info": {"tags": ["API design", "bulk operations", "individual processing", "API documentation"], "generalized_query": "Process multiple entities (e.g., artists, songs) via an API when only individual operations are available"}, "utility": 0, "freq": 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}}

docs/library/paper_data/task/appworld_qwen3_8b.jsonl

@@ -1,207 +1,207 @@
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "2de0b70ef0534b2ab26995db825b13f0", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "API", "Authentication", "Rating Automation", "Error Handling"], "generalized_query": "Automate rating updates for liked songs across playlists"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "ce2afda727db46238cfd4f06ebeb6c77", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token management", "authorization"], "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": "task", "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", "extra_info": {"tags": ["API interaction", "data retrieval", "error handling", "music service", "playlist analysis"], "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": "task", "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", "extra_info": {"tags": ["user_metrics", "system_metrics", "Spotify_likes", "data_interpretation"], "generalized_query": "Determine user-specific favorites from platform-wide data"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "c71f54edf3404221b9425ef487e5b42b", "memory_type": "task", "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", "extra_info": {"tags": ["playback statistics", "Spotify API", "data availability", "metric confusion"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_aggregation", "Spotify_API", "error_prevention"], "generalized_query": "Analyze aggregated data across multiple API pages"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "4d92ea442b2c40d49d737fc31b274946", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify API", "data retrieval", "API validation", "error handling"], "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": "task", "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", "extra_info": {"tags": ["pagination", "API limits", "data completeness", "error prevention"], "generalized_query": "Process paginated API responses effectively"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "fe787f6521be4a07abe5b51563c5aa73", "memory_type": "task", "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", "extra_info": {"tags": ["API", "Spotify", "Rating", "Review", "Duplicate"], "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": "task", "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", "extra_info": {"tags": ["API", "error-handling", "data-access", "Spotify"], "generalized_query": "Access nested data fields in API responses"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "433755c9b7bf460894d005e4a5a04bed", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "data_validation", "api_calls"], "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": "task", "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", "extra_info": {"tags": ["data_filtering", "relationship_matching", "set_operations"], "generalized_query": "Filter transactions involving specific relationships"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "877675b56bee4b8abda189095acd6bf2", "memory_type": "task", "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", "extra_info": {"tags": ["supervisor", "task", "formatting", "response", "validation"], "generalized_query": "Complete supervisor-assigned transaction analysis tasks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "da599fb4190245978fc493ebe2680d9b", "memory_type": "task", "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", "extra_info": {"tags": ["contact", "search", "phone", "venmo", "relationships"], "generalized_query": "Identify cross-app contact relationships"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "9942fec0a79a423aa2225c8337650619", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "api", "validation", "cross-service"], "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": "task", "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", "extra_info": {"tags": ["error_handling", "idempotency", "social_media", "Venmo_API"], "generalized_query": "Perform bulk operations on social media transactions"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "d671b3d3eeda4ad69fde790bc6fdb9c4", "memory_type": "task", "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", "extra_info": {"tags": ["API_authentication", "error_handling", "platform_specific", "relationship_filtering"], "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": "task", "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", "extra_info": {"tags": ["review_check", "pagination", "duplicate_prevention", "rating_update", "spotify_api"], "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": "task", "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", "extra_info": {"tags": ["state", "checks", "Spotify", "API", "conflicts"], "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": "task", "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", "extra_info": {"tags": ["authentication", "passwords", "dynamic_variables", "spotify_login"], "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": "task", "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", "extra_info": {"tags": ["pagination", "album_library", "liked_songs", "spotify_api"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "CSV export", "pagination", "error handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "data-aggregation", "error-handling", "api-calls"], "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": "task", "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", "extra_info": {"tags": ["API_integration", "error_handling", "multi_step_operations"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "access_token", "authorization", "file_operations"], "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": "task", "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", "extra_info": {"tags": ["file_permissions", "directory_access", "file_system", "security"], "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": "task", "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", "extra_info": {"tags": ["account_management", "termination", "security", "post_task_actions"], "generalized_query": "Terminate an account after completing a task"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "59a771f8401f48f0b2609d749893f31b", "memory_type": "task", "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", "extra_info": {"tags": ["data_processing", "CSV", "nested_data", "formatting"], "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": "task", "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", "extra_info": {"tags": ["Venmo", "transactions", "API_parameters", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential_management", "token_validation"], "generalized_query": "Access restricted services requiring authentication tokens"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "0f02352e6c6342659fa967aee3f33520", "memory_type": "task", "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", "extra_info": {"tags": ["output-formatting", "schema-validation", "supervisory-systems"], "generalized_query": "Provide structured output for automated processing systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "61fd52b288b8405d9b1623b4aff52e0f", "memory_type": "task", "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", "extra_info": {"tags": ["API", "authentication", "data parsing", "error handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api-exploration", "data-mapping", "token-management"], "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": "task", "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", "extra_info": {"tags": ["data-extraction", "text-parsing", "note-processing", "movie-recommendations", "structured-data"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "password", "validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["authentication", "error-handling", "fallback-strategies", "API-calls"], "generalized_query": "Handle cross-service authentication with fallback strategies"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "0a9599adc5b24c97860055fe17c47a67", "memory_type": "task", "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", "extra_info": {"tags": ["Venmo", "API", "transaction", "authorization", "commenting"], "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": "task", "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", "extra_info": {"tags": ["error-handling", "api-reliability", "transaction-processing"], "generalized_query": "Execute sequential API operations with error handling"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "66f085efdc124195b9052efe3bbb2f7e", "memory_type": "task", "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", "extra_info": {"tags": ["API", "authentication", "data_validation", "Venmo", "transaction_actions"], "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": "task", "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", "extra_info": {"tags": ["pagination", "date_filtering", "Venmo", "API_operations"], "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": "task", "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", "extra_info": {"tags": ["password retrieval", "data structure validation", "type safety", "supervisor API"], "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": "task", "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", "extra_info": {"tags": ["recommendation_system", "api_pagination", "data_aggregation", "frequency_analysis", "spotify_api"], "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": "task", "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", "extra_info": {"tags": ["oauth_authentication", "api_authorization", "credential_management", "spotify_api"], "generalized_query": "Access protected API resources requiring authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "d7234329fd134c37b5153f024d2109e5", "memory_type": "task", "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", "extra_info": {"tags": ["recommendation_engine", "data_aggregation", "algorithm_design"], "generalized_query": "Aggregate recommendation scores across different data sources"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "a4ee25adbb4c46e3b1ba82ad98f83968", "memory_type": "task", "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", "extra_info": {"tags": ["API", "authentication", "pagination", "time-filtering", "bulk-operations"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential-management", "third-party-APIs", "Venmo"], "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": "task", "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", "extra_info": {"tags": ["API verification", "data structure", "Spotify API", "error handling"], "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": "task", "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", "extra_info": {"tags": ["recommendation-bias", "exposure-metrics", "statistical-analysis", "algorithm-audit"], "generalized_query": "Analyze recommendation algorithm bias through artist exposure metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "d59b555ce7bf45d19999a17f6e5dd1b9", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "data_aggregation", "api_interaction", "recommendations"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "playlist data", "key access", "API response structure", "error handling"], "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": "task", "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", "extra_info": {"tags": ["error handling", "dictionary access", "data validation", "debugging"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential_retrieval", "data_aggregation", "pagination", "deduplication"], "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": "task", "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", "extra_info": {"tags": ["time_based_filtering", "metadata_analysis", "date_comparison"], "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": "task", "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", "extra_info": {"tags": ["authentication", "dependency_check", "error_handling"], "generalized_query": "Authenticate and access protected resources across multiple systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "3938016562394e89a694aa245ea1cb04", "memory_type": "task", "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", "extra_info": {"tags": ["payment requests", "authentication", "API endpoints", "expense tracking", "Venmo"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api-rate-limiting", "token-management"], "generalized_query": "Access protected resources across multiple API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "efc8878e5f104841b05e1b39322d78a0", "memory_type": "task", "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", "extra_info": {"tags": ["data validation", "variable existence", "nested properties", "task interpretation"], "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": "task", "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", "extra_info": {"tags": ["query ambiguity", "entity filtering", "data categorization", "task clarification"], "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": "task", "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", "extra_info": {"tags": ["collection_processing", "edge_case_handling", "spotify_api", "robustness"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API", "song", "oldest", "library"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API", "song", "oldest", "library"], "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": "task", "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", "extra_info": {"tags": ["data validation", "date handling", "metadata aggregation", "error prevention"], "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": "task", "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", "extra_info": {"tags": ["function definition", "code reuse", "dependency management", "modular design"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api_usage", "data_cleaning", "expense_tracking", "venmo_integration"], "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": "task", "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", "extra_info": {"tags": ["API", "method", "documentation", "validation"], "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": "task", "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", "extra_info": {"tags": ["credentials", "password", "security", "supervisor"], "generalized_query": "Access account credentials for third-party services"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "5453ffef1f1b41e9a1cda9a60f932f1a", "memory_type": "task", "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", "extra_info": {"tags": ["note_processing", "text_parsing", "structured_data", "expense_splitting"], "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": "task", "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", "extra_info": {"tags": ["authentication", "user-validation", "payment-requests", "venmo", "notes"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api-access", "token-validation", "simple_note", "security"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api_calls", "pagination", "credential_validation"], "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": "task", "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", "extra_info": {"tags": ["credential_extraction", "password_handling", "list_comprehension"], "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": "task", "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", "extra_info": {"tags": ["filtering", "transaction", "venmo", "date-range", "recipient"], "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": "task", "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", "extra_info": {"tags": ["pagination", "api", "loop", "data-aggregation"], "generalized_query": "Aggregate data across paginated API responses"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "b5d9afc98e8d4641a92a34b42bf42125", "memory_type": "task", "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", "extra_info": {"tags": ["security", "credentials", "passwords", "validation"], "generalized_query": "Access application credentials securely"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "070298d07dac4d1a8e225d6d44b107d4", "memory_type": "task", "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", "extra_info": {"tags": ["API constraints", "credential management", "Venmo", "transaction history"], "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": "task", "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", "extra_info": {"tags": ["transaction_analysis", "api_parameters", "date_filtering", "recipient_filtering"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "list_comprehension", "error_handling"], "generalized_query": "Extract specific values from structured data formats"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "1ddc1130a25548b18ce604b7df5a378f", "memory_type": "task", "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", "extra_info": {"tags": ["API", "data-structure", "error-handling", "Spotify", "JSON"], "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": "task", "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", "extra_info": {"tags": ["serialization", "API", "data-types", "Spotify", "error-handling"], "generalized_query": "Serialize data for API submission while maintaining compatibility"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "b1def4bd99e7418d9b4df3bad76916bc", "memory_type": "task", "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", "extra_info": {"tags": ["API validation", "endpoint verification", "Spotify API"], "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": "task", "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", "extra_info": {"tags": ["authentication", "token management", "bulk operations"], "generalized_query": "Execute multiple API requests requiring continuous authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "337d70f779c5487386fce78a1521bd5a", "memory_type": "task", "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", "extra_info": {"tags": ["output_formatting", "data_serialization", "task_completion"], "generalized_query": "Provide curated artist lists from music metadata"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "962a5c416fe1487b942a65e2c1f67096", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify API", "genre filtering", "token management", "data serialization", "error handling"], "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": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "API_validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["file_system", "authentication", "data_validation", "api_usage"], "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": "task", "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", "extra_info": {"tags": ["api_validation", "spotify_integration", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["output_validation", "data_formatting", "task_completion"], "generalized_query": "Format outputs according to system-specific validation rules"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "e16d854af6e245a9bab8f1b6652c044e", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "data-aggregation", "genre-filtering", "bulk-action", "spotify-api"], "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": "task", "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", "extra_info": {"tags": ["file_access", "authentication", "api_usage", "directory_operations"], "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": "task", "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", "extra_info": {"tags": ["credential_retrieval", "syntax_errors", "password_management"], "generalized_query": "Retrieve stored credentials for API authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "bd39c4333f1744bc844f7d599d9a97c2", "memory_type": "task", "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", "extra_info": {"tags": ["text_analysis", "numerical_extraction", "data_parsing", "string_manipulation"], "generalized_query": "Summarize numerical data from text files"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "7678a54803a4489794a62f982db0265d", "memory_type": "task", "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", "extra_info": {"tags": ["file_operations", "API_parameters", "authentication", "directory_management"], "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": "task", "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", "extra_info": {"tags": ["file_movement", "filename_preservation", "error_handling"], "generalized_query": "Transfer files between directories while preserving filename integrity"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "655bf6a4df4d4d049a8cd4f59c994bda", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "api_usage", "file_organization"], "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": "task", "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", "extra_info": {"tags": ["file_organization", "metadata_validation", "move_operations", "directory_management"], "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": "task", "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", "extra_info": {"tags": ["restricted_apis", "module_usage", "file_system_api", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["file_organization", "metadata_analysis", "authentication_flow", "date_mapping", "api_operations"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "error_handling", "credential_management", "token_validation"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "data-validation", "API-usage", "release-year-filtering", "error-handling"], "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": "task", "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", "extra_info": {"tags": ["task_completion", "syntax_validation", "api_usage"], "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": "task", "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", "extra_info": {"tags": ["date_filtering", "string_operations", "data_validation"], "generalized_query": "Filter and remove elements based on temporal criteria"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "33039a9992a54edbb4beea770b6c17a2", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "API", "release_date", "song_filtering", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["API_evolution", "schema_validation", "dynamic_data", "error_recovery"], "generalized_query": "Process API data with evolving schema requirements"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "dcb67fe761154690871b251ff102a539", "memory_type": "task", "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", "extra_info": {"tags": ["task-completion", "workflow-execution", "error-prevention"], "generalized_query": "Execute final task completion in automated processes"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "5399d03889f049d08e60235f92156f0c", "memory_type": "task", "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", "extra_info": {"tags": ["music library", "metadata filtering", "API validation", "nested data handling", "pagination"], "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": "task", "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", "extra_info": {"tags": ["pagination", "bulk processing", "error handling"], "generalized_query": "Process paginated API responses for bulk operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "bb3028b4f08a4ae58014b657e12458f9", "memory_type": "task", "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", "extra_info": {"tags": ["API validation", "data structure", "error handling", "external service integration"], "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": "task", "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", "extra_info": {"tags": ["security", "credential management", "supervisor app", "token authentication"], "generalized_query": "Access application credentials across multiple services for automation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "e1057cb423b644f88968ad00e9c10435", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "API_integration", "token_validation", "error_handling", "automation"], "generalized_query": "Automate playlist playback based on external workout data"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "285461208d764bc79c2bd16c7ca9a803", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "api-validation", "spotify", "simple_note", "token"], "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": "task", "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", "extra_info": {"tags": ["API_validation", "authentication", "parameter_checking", "external_services"], "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": "task", "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", "extra_info": {"tags": ["filtering", "set_operations", "efficiency", "edge_case_handling", "library_cleanup"], "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": "task", "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", "extra_info": {"tags": ["conditional_removal", "api_operations", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["file_system", "API_authentication", "path_formatting"], "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": "task", "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", "extra_info": {"tags": ["directory_traversal", "zip_archiving", "data_integrity", "batch_processing", "error_resilience"], "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": "task", "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", "extra_info": {"tags": ["library cleanup", "user interaction", "data validation", "set operations", "nested filtering"], "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": "task", "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", "extra_info": {"tags": ["api validation", "type safety", "spotify data", "error prevention"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "library_cleanup", "song_library", "album_library", "like", "download"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API_usage", "file_system"], "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": "task", "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", "extra_info": {"tags": ["directory_filtering", "batch_processing", "file_system"], "generalized_query": "Process hierarchical directory structures for batch operations."}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "ae4c479ea57c46278c230f3eeac4072c", "memory_type": "task", "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", "extra_info": {"tags": ["playlist creation", "API authentication", "recommendation systems", "genre filtering", "release date filtering"], "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": "task", "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", "extra_info": {"tags": ["API workflow", "authentication", "error handling", "sequential operations"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "authentication", "directory_management", "compression", "cleanup"], "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": "task", "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", "extra_info": {"tags": ["api_authentication", "parameter_placement", "documentation_compliance", "security_best_practices"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API validation", "error handling", "parameter tuning", "automation"], "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": "task", "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", "extra_info": {"tags": ["password handling", "string formatting", "security", "API requests"], "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": "task", "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", "extra_info": {"tags": ["API", "Authentication", "OAuth2", "Endpoint Validation"], "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": "task", "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", "extra_info": {"tags": ["API parameter validation", "resource creation", "authentication injection"], "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": "task", "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", "extra_info": {"tags": ["idempotent_operations", "song_liking", "spotify_api", "duplicate_checking"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "API_discovery", "queue_management", "task_alignment", "authentication"], "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": "task", "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", "extra_info": {"tags": ["security", "credential_management", "authentication_flow", "supervisor_api"], "generalized_query": "Perform authenticated operations on music streaming platform"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "4507ec0f23b545a6901750c95ef484a9", "memory_type": "task", "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", "extra_info": {"tags": ["like songs", "queue", "current song", "spotify", "playlist"], "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": "task", "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", "extra_info": {"tags": ["payment", "request", "authorization", "refund"], "generalized_query": "Revoke or reverse an approved payment request"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "d6ceefd91cab420ab95cf32551ba8bb1", "memory_type": "task", "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", "extra_info": {"tags": ["communication", "phone", "contact", "authentication"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "Venmo", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["user_search", "data_scraping", "contact_recovery"], "generalized_query": "Locate user information using limited identifying details"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "1787a85b3f1244a5a36d44b650e459f3", "memory_type": "task", "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", "extra_info": {"tags": ["payment request status", "API endpoints", "state management", "Venmo"], "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": "task", "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", "extra_info": {"tags": ["authentication", "API", "token", "error_handling", "authorization"], "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": "task", "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", "extra_info": {"tags": ["password", "authorization", "supervisor", "security", "account"], "generalized_query": "Access account-specific data across multiple systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "893a7a172ec24cf0a78d049d40aa378d", "memory_type": "task", "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", "extra_info": {"tags": ["data-extraction", "syntax-validation", "list-comprehension"], "generalized_query": "Retrieve and process data from account management systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "1275add4f6a342b0ada2b9bb6e967f41", "memory_type": "task", "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", "extra_info": {"tags": ["refund", "authentication", "payment_request", "transaction_validation", "venmo"], "generalized_query": "Refund an accidental payment to a specific recipient"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "ad48a9a41d4543d4a01bf75a05aad740", "memory_type": "task", "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", "extra_info": {"tags": ["password_retrieval", "data_extraction", "error_handling"], "generalized_query": "Access credential stores for authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "06e99694ce6045e78a5a28949f77c38a", "memory_type": "task", "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", "extra_info": {"tags": ["api_errors", "validation", "authorization"], "generalized_query": "Modify Venmo payment requests"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "689a5cddef254d0799231b4ef87bba85", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "pagination", "systematic_deletion", "api_documentation", "spam_cleanup"], "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": "task", "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", "extra_info": {"tags": ["authentication", "username_validation", "password_scope", "api_requirements"], "generalized_query": "Authenticate to a service using username/password credentials"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "b6ec6ca2ba1d4be8b2b5347498c57b41", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token_management", "api_authentication", "spam_cleanup"], "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": "task", "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", "extra_info": {"tags": ["API", "authentication", "check_availability", "phone_messages"], "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": "task", "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", "extra_info": {"tags": ["API_authentication", "data_pagination", "multi_criteria_filtering", "secure_credentials", "spotify_API"], "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": "task", "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", "extra_info": {"tags": ["data mapping", "identifier resolution", "Spotify data model"], "generalized_query": "Resolve identifier-to-entity mappings in data pipelines"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "e874a95042044336b062aa93257ca297", "memory_type": "task", "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", "extra_info": {"tags": ["API exploration", "parameterized filtering", "iterative actions", "Spotify API", "follower count filtering"], "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": "task", "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", "extra_info": {"tags": ["Spotify", "follow", "reggae", "follower_count", "playlist_likes"], "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": "task", "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", "extra_info": {"tags": ["API_pagination", "infinite_loop", "Spotify", "data_processing"], "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": "task", "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", "extra_info": {"tags": ["file_access", "authentication", "api_validation", "file_existence_check"], "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": "task", "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", "extra_info": {"tags": ["data_parsing", "financial_processing", "text_cleaning"], "generalized_query": "Parse numerical values from text-based financial documents"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "ad5e5e10a6084b8092b17c0dccffbfce", "memory_type": "task", "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", "extra_info": {"tags": ["contact_management", "roommate_tracking", "authentication"], "generalized_query": "Retrieve contact information for shared living arrangements"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "c0053c13c01a48c684ec0e18b8e64ac4", "memory_type": "task", "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", "extra_info": {"tags": ["note management", "task completion", "existence check", "API usage", "error handling"], "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": "task", "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", "extra_info": {"tags": ["API validation", "method existence", "documentation review", "error prevention"], "generalized_query": "Perform actions requiring API interactions with external systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "241c6d4aa5004fc6a98a43d658a115d4", "memory_type": "task", "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", "extra_info": {"tags": ["file_access", "authentication", "error_handling", "file_verification"], "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": "task", "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", "extra_info": {"tags": ["payment_distribution", "workflow_validation", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["authentication", "file_system", "API_access", "authorization", "security"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "directory_management", "error_handling", "file_search"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credential_management", "security"], "generalized_query": "Authenticate to multiple services with credential management"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "3b42598a917b4e798050a6b26050f503", "memory_type": "task", "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", "extra_info": {"tags": ["expense_splitting", "contact_management", "financial_tracking"], "generalized_query": "Identify shared expense participants using available data sources"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "5c3249aa220e4bfaa58c69d3cfa228e0", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "API", "note-update", "credential-management", "string-replacement"], "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": "task", "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", "extra_info": {"tags": ["authentication", "notes-system", "content-modification", "api-operations"], "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": "task", "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", "extra_info": {"tags": ["security", "token_validation", "api_security", "note_management"], "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": "task", "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", "extra_info": {"tags": ["authentication", "data_validation", "api_operations"], "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": "task", "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", "extra_info": {"tags": ["authentication", "api_access", "authorization"], "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": "task", "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", "extra_info": {"tags": ["time_calculation", "alarm_modification", "bulk_operations", "access_token"], "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": "task", "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", "extra_info": {"tags": ["assumption", "data_accuracy", "time_calculation", "spotify_api"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_retrieval", "api_limitations", "spotify_api"], "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": "task", "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", "extra_info": {"tags": ["numerical_precision", "rounding", "error_handling", "math_operations"], "generalized_query": "Perform mathematical rounding operations on calculated metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "c519ba530e4e4ad48ab398d4745adc6c", "memory_type": "task", "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", "extra_info": {"tags": ["longest", "playlist", "duration", "misinterpretation", "aggregation"], "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": "task", "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", "extra_info": {"tags": ["unit conversion", "time calculation", "precision rounding"], "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": "task", "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", "extra_info": {"tags": ["authentication", "credentials", "API", "token", "validation"], "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": "task", "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", "extra_info": {"tags": ["syntax", "execution", "code", "environment", "error"], "generalized_query": "Execute code sequences with strict syntax requirements"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "45ffb3b8df7846c2a240e75e754a6aa2", "memory_type": "task", "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", "extra_info": {"tags": ["alarm-management", "label-search", "device-operations", "string-matching"], "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": "task", "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", "extra_info": {"tags": ["API_validation", "data_schema", "error_handling", "music_metadata", "playlist_analysis"], "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": "task", "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", "extra_info": {"tags": ["security", "authentication", "credential_management", "best_practices"], "generalized_query": "Access protected resources via authenticated API endpoints"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "6389de26c7274de6a2233c189542420a", "memory_type": "task", "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", "extra_info": {"tags": ["resource_verification", "playlist_search", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["syntax_errors", "code_execution", "output_formatting"], "generalized_query": "Generate diagnostic outputs during task execution"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "9b1ccd40eb70453394f2835403e4a832", "memory_type": "task", "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", "extra_info": {"tags": ["API", "validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["API", "data-validation", "key-error", "playlist", "song-metadata"], "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": "task", "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", "extra_info": {"tags": ["song-metadata", "metric-names", "playlist-analysis", "data-fetching"], "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": "task", "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", "extra_info": {"tags": ["error_handling", "api_usage", "authentication", "data_fields"], "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": "task", "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", "extra_info": {"tags": ["error-handling", "authorization", "user-context"], "generalized_query": "Execute actions requiring user authentication and data retrieval"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "c0b39a2f10364aafb1ec13ca225873a1", "memory_type": "task", "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", "extra_info": {"tags": ["financial_verification", "payment_processing", "error_handling"], "generalized_query": "Approve pending payment requests from specified contacts"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "9e7849a09da54be29741a8ae10dc1807", "memory_type": "task", "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", "extra_info": {"tags": ["credentials", "data_validation", "password_management", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["access_token", "expiration", "Venmo", "API_authentication", "payment_approval"], "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": "task", "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", "extra_info": {"tags": ["Venmo", "API", "authentication", "pagination", "authorization"], "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": "task", "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", "extra_info": {"tags": ["data_extraction", "Python", "API_response", "Venmo", "passwords"], "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": "task", "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", "extra_info": {"tags": ["Spotify API", "song title", "data accuracy", "playlist metadata"], "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": "task", "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", "extra_info": {"tags": ["API debugging", "documentation lookup", "error handling", "method validation"], "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": "task", "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", "extra_info": {"tags": ["nested_data", "api_validation", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["data_aggregation", "debugging", "step_validation"], "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": "task", "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", "extra_info": {"tags": ["API-pagination", "music-data", "play-count-metric", "artist-filtering", "iterative-processing"], "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": "task", "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", "extra_info": {"tags": ["Spotify API", "Artist Follow", "Data Parsing", "State Checking"], "generalized_query": "Modify follow relationships based on content interaction history"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "ebee42e7da0748e1abeee2dd595a5869", "memory_type": "task", "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", "extra_info": {"tags": ["API Response Parsing", "Nested Data", "Field Validation"], "generalized_query": "Extract relational data from nested API responses"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "79a65af8eabf4042a33074a5f8439e0d", "memory_type": "task", "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", "extra_info": {"tags": ["Idempotency", "State Management", "Conflict Handling"], "generalized_query": "Modify external service states based on criteria"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "9e6996dcf5bd4fc5bfde7a04d6135a7e", "memory_type": "task", "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", "extra_info": {"tags": ["API_authentication", "parameter_validation", "data_filtering", "music_database", "play_count_analysis"], "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": "task", "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", "extra_info": {"tags": ["data_validation", "nested_data", "error_handling", "Spotify"], "generalized_query": "Extract specific attributes from nested JSON data structures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "4967313832284e3fa7d6a5a0ba583da4", "memory_type": "task", "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", "extra_info": {"tags": ["output_formatting", "syntax", "error_handling", "Spotify"], "generalized_query": "Present results from data processing tasks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "522c2a60fa484d189e777fc7f92d0639", "memory_type": "task", "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", "extra_info": {"tags": ["Spotify", "artist-follow", "API-response-parsing", "error-handling", "idempotent-operations"], "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": "task", "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", "extra_info": {"tags": ["data parsing", "nested structures", "API response", "Spotify"], "generalized_query": "Extract relationships from hierarchical data structures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "6bbce6ebdbcf43e89741a87fd3ce21f5", "memory_type": "task", "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", "extra_info": {"tags": ["output formatting", "serialization", "task completion", "Spotify"], "generalized_query": "Format outputs for automated task verification systems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "appworld_qwen3_8b", "memory_id": "3edfd84bbf104863a882cef381656f8b", "memory_type": "task", "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", "extra_info": {"tags": ["error_handling", "api_debugging", "data_deduplication", "spotify_api", "automation"], "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": "task", "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", "extra_info": {"tags": ["pagination", "data_retrieval", "user_data", "Spotify_API"], "generalized_query": "Retrieve and process user-generated data from paginated endpoints"}, "utility": 0, "freq": 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}}

docs/library/paper_data/task/bfcl_qwen3_14b.jsonl

@@ -1,110 +1,110 @@
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "1e350e4a5eb34f15b0538373c89ddfb4", "memory_type": "task", "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", "extra_info": {"tags": ["stock", "symbol", "lookup", "get_symbol_by_name", "get_stock_info"], "generalized_query": "Requesting financial data about a company by name"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "719b716f42fe48638bc4756c1a5146dd", "memory_type": "task", "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", "extra_info": {"tags": ["state_management", "user_feedback", "configuration_updates"], "generalized_query": "Update user-specific monitoring configurations for financial assets"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d401023d95994303a917a23a182ff712", "memory_type": "task", "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", "extra_info": {"tags": ["market", "status", "real-time", "update"], "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": "task", "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", "extra_info": {"tags": ["stock", "analysis", "watchlist", "conditional"], "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": "task", "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", "extra_info": {"tags": ["engine", "start", "brake", "prerequisites", "vehicle", "systems"], "generalized_query": "Executing vehicle engine start with safety prerequisites"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "11c4cb12e0df48d08991609584ea575b", "memory_type": "task", "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", "extra_info": {"tags": ["trip", "feasibility", "navigation", "vehicle", "readiness", "long-distance"], "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": "task", "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", "extra_info": {"tags": ["unit_conversion", "fuel_measurement", "decimal_precision"], "generalized_query": "Accurate unit conversion and fuel measurement"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "067cc47dac5541a198e6b794a826c307", "memory_type": "task", "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", "extra_info": {"tags": ["engine start", "safety checks", "error handling"], "generalized_query": "Execute vehicle ignition while satisfying safety precondition checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c2433974ebc44b3f8d3fae9ca5de799c", "memory_type": "task", "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", "extra_info": {"tags": ["statistical calculation", "sensor data", "math functions"], "generalized_query": "Calculate statistical averages from multiple sensor readings"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "08fd146498e74a4fa006e883c6873087", "memory_type": "task", "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", "extra_info": {"tags": ["credit", "card", "registration", "insurance", "purchase"], "generalized_query": "Purchasing insurance using a credit card after registration"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f57a2bb7fec04f9abf6b7226c01e5dbc", "memory_type": "task", "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", "extra_info": {"tags": ["invoice", "booking", "documentation", "financial", "records"], "generalized_query": "Requesting documentation for travel transactions"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "868f2889b76445b7bf39543fb1c0d6d5", "memory_type": "task", "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", "extra_info": {"tags": ["API parameter validation", "booking workflow", "error recovery"], "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": "task", "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", "extra_info": {"tags": ["create_ticket", "date_discrepancy", "ticket_description", "validation"], "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": "task", "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", "extra_info": {"tags": ["account", "security", "authentication", "card", "masking"], "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": "task", "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", "extra_info": {"tags": ["flight", "booking", "api", "error", "parameter"], "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": "task", "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", "extra_info": {"tags": ["vehicle", "startup", "safety", "checks", "ignition"], "generalized_query": "Executing vehicle engine startup with prerequisite safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "240bda18801041cd8160b91935b33bfb", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle-diagnostics", "external-apis", "formatting", "integration"], "generalized_query": "Integrating vehicle diagnostics with external communication platforms"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "6d0e18aa68524b4b9383e46338345253", "memory_type": "task", "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", "extra_info": {"tags": ["order", "details", "missing", "parameter", "cancellation"], "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": "task", "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", "extra_info": {"tags": ["stock", "info", "watchlist", "add", "SYNX", "performance"], "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": "task", "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", "extra_info": {"tags": ["traveler verification", "identity confirmation", "passport check"], "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": "task", "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", "extra_info": {"tags": ["booking", "cancellation", "dependency", "task-completion"], "generalized_query": "Handling follow-up actions for incomplete bookings"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a366cf687b5648d08513b3ff08c30209", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle", "startup", "safety", "sequence", "doors", "engine"], "generalized_query": "Executing vehicle startup sequence with safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "5717b0d02e2f4b5997b39afb16d53b5d", "memory_type": "task", "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", "extra_info": {"tags": ["fuel", "distance", "trip", "feasibility", "calculation", "efficiency"], "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": "task", "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", "extra_info": {"tags": ["unit", "conversion", "fuel", "planning", "rounding", "safety"], "generalized_query": "Unit conversion for travel resource planning"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c82a52a687a842febaa08a99c44e11fe", "memory_type": "task", "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", "extra_info": {"tags": ["file search", "directory navigation", "find command"], "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": "task", "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", "extra_info": {"tags": ["data analysis", "text processing", "statistical computation"], "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": "task", "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", "extra_info": {"tags": ["market", "status", "trade", "verification"], "generalized_query": "Requesting market status verification before executing a trade"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "004bfd6f6f344e8f95b035f1db2c8952", "memory_type": "task", "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", "extra_info": {"tags": ["account", "error", "ticketing", "support"], "generalized_query": "Reporting account information synchronization problems"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a2026c158684462fb4d88cbd7c302843", "memory_type": "task", "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", "extra_info": {"tags": ["distance calculation", "location mapping", "travel planning"], "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": "task", "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", "extra_info": {"tags": ["content amplification", "social media strategy", "engagement tactics"], "generalized_query": "Retweet content to increase visibility and community engagement"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "feb96841e8844344b7d4edc2e78d54aa", "memory_type": "task", "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", "extra_info": {"tags": ["twitter", "authentication", "error_handling", "credential_validation"], "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": "task", "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", "extra_info": {"tags": ["unit_conversion", "fuel_measurement", "vehicle_systems"], "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": "task", "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", "extra_info": {"tags": ["vehicle_safety", "system_dependencies", "error_handling"], "generalized_query": "Execute vehicle systems operations with prerequisite safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "284bc44972104717bcad0b6977d24c37", "memory_type": "task", "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", "extra_info": {"tags": ["social_media", "content_amplification", "twitter_engagement"], "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": "task", "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", "extra_info": {"tags": ["stock", "information", "retrieval", "symbol", "market", "data"], "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": "task", "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", "extra_info": {"tags": ["order", "execution", "cancellation", "trade", "management"], "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": "task", "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", "extra_info": {"tags": ["account", "verification", "balance", "security", "payment"], "generalized_query": "Retrieve account balance and payment method verification"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c0b1c5896ba64f0988c78a5f7f291b1d", "memory_type": "task", "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", "extra_info": {"tags": ["market", "status", "time", "update", "trading"], "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": "task", "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", "extra_info": {"tags": ["file", "management", "directory", "navigation", "error", "handling"], "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": "task", "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", "extra_info": {"tags": ["social", "media", "engagement", "twitter", "workflow"], "generalized_query": "Enhance social media engagement through post-publication interaction"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f049fee63fbc452c93a99ddb136be998", "memory_type": "task", "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", "extra_info": {"tags": ["file", "preprocessing", "sorting", "visualization", "workflow"], "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": "task", "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", "extra_info": {"tags": ["file", "copy", "path", "existence", "validation"], "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": "task", "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", "extra_info": {"tags": ["file", "listing", "hidden", "directories", "ls"], "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": "task", "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", "extra_info": {"tags": ["message", "authentication", "send", "login"], "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": "task", "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", "extra_info": {"tags": ["fuel", "tank", "capacity", "refueling", "error"], "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": "task", "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", "extra_info": {"tags": ["engine", "start", "doors", "brake", "safety"], "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": "task", "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", "extra_info": {"tags": ["tire", "pressure", "threshold", "service", "alert"], "generalized_query": "Interpreting tire pressure thresholds and triggering maintenance alerts"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f076536b80414f9e9e35633e1cabae29", "memory_type": "task", "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", "extra_info": {"tags": ["message", "authentication", "login", "prerequisite", "error"], "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": "task", "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", "extra_info": {"tags": ["tire", "pressure", "status", "threshold", "validation"], "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": "task", "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", "extra_info": {"tags": ["doors", "lock", "security", "vehicle", "verification"], "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": "task", "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", "extra_info": {"tags": ["engine", "ignition", "brake", "safety", "prerequisites"], "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": "task", "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", "extra_info": {"tags": ["file retrieval", "directory navigation", "hidden files"], "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": "task", "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", "extra_info": {"tags": ["contact management", "message sending", "communication verification"], "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": "task", "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", "extra_info": {"tags": ["message_composition", "data_substitution", "communication_logging"], "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": "task", "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", "extra_info": {"tags": ["vehicle startup", "cruise control activation", "prerequisites check", "error prevention"], "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": "task", "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", "extra_info": {"tags": ["fuel", "feasibility", "tool", "automation"], "generalized_query": "Assessing vehicle fuel feasibility for a journey"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "08bd55472ab046629da909f0bc7affa2", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle", "engine", "start", "safety", "checks"], "generalized_query": "Initiating vehicle engine startup sequence"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "d8e70426b69241da91d4df332ba80911", "memory_type": "task", "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", "extra_info": {"tags": ["file", "ticket", "priority", "character", "count"], "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": "task", "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", "extra_info": {"tags": ["distance", "zipcode", "geolocation"], "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": "task", "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", "extra_info": {"tags": ["fuel", "unit conversion", "vehicle status"], "generalized_query": "Convert vehicle fuel measurements between gallons and liters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "dfd119d776de4013afe2fde322421eb2", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle ignition", "safety protocol", "brake check"], "generalized_query": "Execute vehicle engine start sequence with safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "8c99cff95e6a4f58a87d7e4d7a6348c5", "memory_type": "task", "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", "extra_info": {"tags": ["error handling", "parameter validation", "tool debugging"], "generalized_query": "Identifying and resolving recurring tool execution errors"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "62cf46f6e520498e9dd9b70359dce0f9", "memory_type": "task", "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", "extra_info": {"tags": ["flight", "cost", "estimation", "business", "class", "airport", "code"], "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": "task", "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", "extra_info": {"tags": ["authentication", "financial", "management", "travel", "system", "security"], "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": "task", "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", "extra_info": {"tags": ["authentication", "travel-api", "client-credentials", "read-write-access"], "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": "task", "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", "extra_info": {"tags": ["API error handling", "parameter validation", "flight booking"], "generalized_query": "Handling API errors during flight booking operations"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f439e4bc501b48cdabb2754790471246", "memory_type": "task", "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", "extra_info": {"tags": ["message verification", "user feedback", "communication tracking"], "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": "task", "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", "extra_info": {"tags": ["file", "content", "retrieval", "tail", "tool_selection"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "stock retrieval", "user preferences"], "generalized_query": "Retrieve and display user-specific stock watchlist contents"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "337ee8fdb9204afcbc4c14ae4cc81acd", "memory_type": "task", "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", "extra_info": {"tags": ["ticket creation", "authentication flow", "error handling"], "generalized_query": "Create a support ticket for transaction-related issues"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "8df51def059d4b749fb146033f9765c6", "memory_type": "task", "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", "extra_info": {"tags": ["data_masking", "account_summary", "security_practices"], "generalized_query": "Requesting account balance and transaction information verification"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "c5d5cb4949034b1daebe246520eba50e", "memory_type": "task", "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", "extra_info": {"tags": ["file_creation", "content_population", "touch", "echo"], "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": "task", "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", "extra_info": {"tags": ["disk_usage", "human_readable", "du", "system_monitoring"], "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": "task", "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", "extra_info": {"tags": ["ticket_resolution", "provisional_closure", "resolve_ticket", "workflow_management"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "add", "retrieve", "verification"], "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": "task", "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", "extra_info": {"tags": ["technical_analysis", "moving_averages", "price_trends", "market_context"], "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": "task", "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", "extra_info": {"tags": ["average", "sum_values", "math", "calculation", "efficiency"], "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": "task", "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", "extra_info": {"tags": ["wc", "file metadata", "data validation", "statistics"], "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": "task", "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", "extra_info": {"tags": ["CSV formatting", "echo", "data ingestion", "newline"], "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": "task", "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", "extra_info": {"tags": ["market", "status", "time", "check"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "remove", "stock", "confirmation"], "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": "task", "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", "extra_info": {"tags": ["order", "cancellation", "confirmation", "reversal"], "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": "task", "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", "extra_info": {"tags": ["vehicle preparation", "safety protocols", "multi-step execution"], "generalized_query": "Executing vehicle pre-trip safety and maintenance protocols"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "a5eacc2b43564dc2addbdb8cabfcd5fa", "memory_type": "task", "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", "extra_info": {"tags": ["fuel conversion", "rounding", "unit conversion"], "generalized_query": "Fuel volume conversion and rounding compliance"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "985f7ba0ef0547a8b51d931436c29ecf", "memory_type": "task", "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", "extra_info": {"tags": ["file_creation", "existence_check", "prevent_overwrite"], "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": "task", "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", "extra_info": {"tags": ["text_search", "grep_usage", "pattern_matching"], "generalized_query": "Search for specific text patterns within a file"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "f734578c5c864b74a41e3a6ade21bf9d", "memory_type": "task", "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", "extra_info": {"tags": ["tool", "constraints", "parameters", "file", "operation"], "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": "task", "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", "extra_info": {"tags": ["engine", "start", "safety", "checks", "doors", "brake"], "generalized_query": "Executing vehicle engine start procedures with safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "32d59626f9b1473e9a0f86151f0c9510", "memory_type": "task", "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", "extra_info": {"tags": ["unit_conversion", "decimal_precision", "user_instructions"], "generalized_query": "Accurate unit conversion with strict decimal precision requirements"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "70a32873c5ca4f178ff80b1720b8f14a", "memory_type": "task", "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", "extra_info": {"tags": ["diagnostic_check", "actionable_feedback", "system_monitoring"], "generalized_query": "Request for diagnostic system checks with actionable insights"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "191e5b6f3f054867869f0cae9d42b262", "memory_type": "task", "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", "extra_info": {"tags": ["unit_validation", "data_compatibility", "math_operations", "financial_metrics"], "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": "task", "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", "extra_info": {"tags": ["workflow_design", "intermediate_validation", "tool_chain"], "generalized_query": "Executing multi-step processes requiring sequential tool calls"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "63b0a5e77a9449029a32585857eaca1a", "memory_type": "task", "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", "extra_info": {"tags": ["market", "status", "time", "synchronization"], "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": "task", "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", "extra_info": {"tags": ["stock", "purchase", "price", "validation", "execution"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "retrieve", "stocks", "get_watchlist"], "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": "task", "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", "extra_info": {"tags": ["booking_id", "missing_parameters", "system_error"], "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": "task", "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", "extra_info": {"tags": ["file comparison", "filename verification", "diff tool"], "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": "task", "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", "extra_info": {"tags": ["file", "navigation", "verification", "directory", "access"], "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": "task", "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", "extra_info": {"tags": ["social", "media", "authentication", "tweet", "sharing"], "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": "task", "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", "extra_info": {"tags": ["tire_pressure", "tool_response_validation", "threshold_checking"], "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": "task", "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", "extra_info": {"tags": ["twitter_authentication", "pre_action_verification", "session_management"], "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": "task", "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", "extra_info": {"tags": ["market_price", "order_placement", "price_verification"], "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": "task", "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", "extra_info": {"tags": ["order_management", "status_verification", "cancellation"], "generalized_query": "Managing order lifecycle actions (cancel, modify, check status)"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_14b", "memory_id": "427c51e9ddf941c6b14263f0aabaa273", "memory_type": "task", "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", "extra_info": {"tags": ["flight", "booking", "error", "resolution", "API", "parameters"], "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": "task", "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", "extra_info": {"tags": ["messaging", "collaboration", "notification", "workflow"], "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": "task", "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", "extra_info": {"tags": ["API", "parameter", "validation", "tool_definition", "booking"], "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": "task", "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", "extra_info": {"tags": ["rounding", "numerical_values", "file_operations", "tool_usage"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "content_formatting", "tool_usage"], "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": "task", "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", "extra_info": {"tags": ["fuel", "tank", "capacity", "vehicle", "preparation"], "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": "task", "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", "extra_info": {"tags": ["prerequisite", "checks", "engine", "start", "safety"], "generalized_query": "Execution of vehicle operations requiring prerequisite condition checks."}, "utility": 0, "freq": 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}}

docs/library/paper_data/task/bfcl_qwen3_32b.jsonl

@@ -1,99 +1,99 @@
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "43cb31dcaa6746fa8c6cee9a27c45758", "memory_type": "task", "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", "extra_info": {"tags": ["stock_price", "watchlist_management", "symbol_resolution", "data_fetching", "trading_system"], "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": "task", "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", "extra_info": {"tags": ["message_audit", "user_activity_tracking", "communication_verification"], "generalized_query": "Retrieve historical messages sent by the current user"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "96b2afcfd2b241739420ecc81a0f645d", "memory_type": "task", "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", "extra_info": {"tags": ["market-status", "time-based-verification", "trading-readiness"], "generalized_query": "Check current market status for trading readiness"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "50d083a8b2ef43b29852054b7a4586fb", "memory_type": "task", "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", "extra_info": {"tags": ["stock-analysis", "price-monitoring", "watchlist-curation"], "generalized_query": "Analyze stock fundamentals and price behavior"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "63d041f00a3c46ba9e6867029b7d1714", "memory_type": "task", "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", "extra_info": {"tags": ["trip_feasibility", "fuel_check", "engine_start", "safety_procedures"], "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": "task", "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", "extra_info": {"tags": ["navigation_update", "route_feasibility", "trip_modification"], "generalized_query": "Modify navigation destination mid-trajectory"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7a5982596a2b4199bd860dd50b79c4bc", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle_maintenance", "unit_conversion", "system_checks", "error_handling", "workflow_completeness"], "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": "task", "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", "extra_info": {"tags": ["flight cancellation", "support ticket", "priority 5", "parameter validation", "immediate action"], "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": "task", "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", "extra_info": {"tags": ["ticket-priority", "support-ticket", "urgent-issues", "contextual-details"], "generalized_query": "Create an urgent support ticket for flight cancellation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3bb366892196487eaec0214728091a60", "memory_type": "task", "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", "extra_info": {"tags": ["parameter-validation", "invoice-retrieval", "travel-insurance"], "generalized_query": "Retrieve transaction documentation for a travel insurance purchase"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e9147771f72d4ea18190c41c49c44132", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "message_delivery", "user_id", "login_status", "account_info"], "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": "task", "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", "extra_info": {"tags": ["security", "credentials", "messaging", "authentication"], "generalized_query": "Initiating secure messaging with user authentication"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "c3ef2374552b4cbdb0a5091ad81e1c26", "memory_type": "task", "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", "extra_info": {"tags": ["flight_booking", "invoice_retrieval", "customer_support", "parameter_validation"], "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": "task", "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", "extra_info": {"tags": ["book_flight", "parameters", "travel_cost", "function_definition", "parameter_mapping"], "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": "task", "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", "extra_info": {"tags": ["market_status", "time_check", "pre_trading_routine", "contextual_analysis"], "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": "task", "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", "extra_info": {"tags": ["stock_analysis", "watchlist_management", "data_organization", "user_experience"], "generalized_query": "Retrieve stock metrics and manage watchlist updates"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "88251723336e4d529844e38709cc58aa", "memory_type": "task", "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", "extra_info": {"tags": ["order_review", "cancellation", "order_history", "clarification"], "generalized_query": "Reviewing an order to assess cancellation necessity"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7ec92afb1f1642bfb382070cd0253227", "memory_type": "task", "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", "extra_info": {"tags": ["unit_conversion", "vehicle_preparation", "error_handling", "sequential_operations"], "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": "task", "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", "extra_info": {"tags": ["file_search", "find", "ls", "filename_mismatch", "directory_navigation"], "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": "task", "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", "extra_info": {"tags": ["data_analysis", "mean", "standard_deviation", "file_content_validation", "text_file_format"], "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": "task", "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", "extra_info": {"tags": ["statistical_analysis", "round_number", "precision", "standard_deviation", "decimal_places"], "generalized_query": "Compute statistical measures with specified decimal precision"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "699e19bdb4024b049be6d0f13a75fb0a", "memory_type": "task", "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", "extra_info": {"tags": ["twitter", "authentication", "social_media", "vehicle_check"], "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": "task", "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", "extra_info": {"tags": ["vehicle_ignition", "fuel_management", "safety_checks", "preparation"], "generalized_query": "Prepare vehicle for ignition with fuel addition"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "305a08887ed341dd99bb400dc91ebf38", "memory_type": "task", "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", "extra_info": {"tags": ["account_info", "sync_failure", "support_ticket", "verification", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["market_status", "pre_trade_check", "time_synchronization", "trading_hours"], "generalized_query": "Check market status and conditions for trade suitability"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b4420afba2454eb4957a59bf52ab5679", "memory_type": "task", "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", "extra_info": {"tags": ["location", "distance", "trip_planning", "vehicle_control", "genealogy"], "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": "task", "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", "extra_info": {"tags": ["social_media", "engagement", "content_creation", "genealogy"], "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": "task", "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", "extra_info": {"tags": ["twitter", "retweet", "comment", "tweet_id", "authentication"], "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": "task", "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", "extra_info": {"tags": ["unit-conversion", "fuel-system", "precision", "vehicle-control"], "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": "task", "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", "extra_info": {"tags": ["safety-protocol", "engine-start", "vehicle-systems", "pre-check"], "generalized_query": "Initialize vehicle engine with safety protocol"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "49b33d12e6c041e1b4b6e065f79790e9", "memory_type": "task", "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", "extra_info": {"tags": ["safety protocols", "iterative problem solving", "system dependencies", "engine operation", "error resolution"], "generalized_query": "Perform critical system operations with prerequisite condition validation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9b14e2b0ae4f4e439847577c1075f366", "memory_type": "task", "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", "extra_info": {"tags": ["market_status", "time_check", "trading_decision", "pre_trade_verification"], "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": "task", "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", "extra_info": {"tags": ["stock_research", "pre_purchase_verification", "data_accuracy"], "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": "task", "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", "extra_info": {"tags": ["order_confirmation", "account_validation", "risk_mitigation"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "path_correctness", "error_handling", "directory_navigation"], "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": "task", "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", "extra_info": {"tags": ["ls", "hidden-files", "directory-listing", "file-management"], "generalized_query": "List all files and directories, including hidden ones"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a919c0e065d94c8c8161df5f327ec564", "memory_type": "task", "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", "extra_info": {"tags": ["message-sending", "authentication", "user-roles", "secure-communication"], "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": "task", "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", "extra_info": {"tags": ["file_access", "existence_check", "tail"], "generalized_query": "View the end of a document file"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "cf00fd42027c4da19d0bef8976e6d917", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle_security", "state_verification", "safety_protocol", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["message-sending", "authentication", "user-verification", "workspace-interaction"], "generalized_query": "Send messages to specific users in a workspace"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a04adc58ae0e448fba592f2ef7312b6c", "memory_type": "task", "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", "extra_info": {"tags": ["file_management", "directory_navigation", "error_handling", "data_archiving"], "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": "task", "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", "extra_info": {"tags": ["social_media", "hashtag_optimization", "engagement_strategies", "tweet_promotion"], "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": "task", "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", "extra_info": {"tags": ["text_processing", "file_display", "alphabetical_sorting", "data_review"], "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": "task", "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", "extra_info": {"tags": ["twitter_api", "authentication", "content_posting", "security"], "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": "task", "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", "extra_info": {"tags": ["start engine", "pre-checks", "vehicle safety", "fueling"], "generalized_query": "Refueling and pre-start vehicle checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "9c2df7675ac7487492bc1e73dce3a917", "memory_type": "task", "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", "extra_info": {"tags": ["tire pressure", "emergency response", "location services"], "generalized_query": "Tire pressure monitoring and emergency response"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "dc1fc026b48b41838a56e0436b1141cf", "memory_type": "task", "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", "extra_info": {"tags": ["message", "contact", "verification", "send_message", "view_messages_sent"], "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": "task", "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", "extra_info": {"tags": ["directory", "ls", "hidden_files", "inventory"], "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": "task", "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", "extra_info": {"tags": ["vehicle_operations", "safety_checks", "sequential_execution", "error_resilience", "preparation_steps"], "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": "task", "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", "extra_info": {"tags": ["distance-estimation", "zipcode-validation", "data-verification"], "generalized_query": "Estimate distance between two cities using geographic identifiers"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "abb257b251cd47d69e8e487ed09124c1", "memory_type": "task", "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", "extra_info": {"tags": ["fuel-management", "tank-capacity", "pre-condition-check"], "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": "task", "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", "extra_info": {"tags": ["budget", "flight-cost", "tool-sequence", "pre-booking", "financial-planning"], "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": "task", "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", "extra_info": {"tags": ["file-analysis", "conditional-updates", "ticket-priority", "data-metrics", "system-integration"], "generalized_query": "Update ticket priority based on file content metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b8eb2a3d09a141a69953bb66d949df12", "memory_type": "task", "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", "extra_info": {"tags": ["directory-search", "naming-patterns", "recursive-search", "file-discovery"], "generalized_query": "Search nested directories for files matching name patterns"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "128c54dbbeda4057ab210bb6940f7cb2", "memory_type": "task", "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", "extra_info": {"tags": ["distance_calculation", "travel_planning", "zipcode_based", "location_analysis"], "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": "task", "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", "extra_info": {"tags": ["safety_protocol", "ignition_sequence", "pre_trip_checks", "vehicle_operations"], "generalized_query": "Execute vehicle ignition sequence with safety protocol verification"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "a593e61d930b4b0caa55254db204ed76", "memory_type": "task", "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", "extra_info": {"tags": ["fuel_efficiency", "mathematical_analysis", "logarithmic_functions", "data_modelling"], "generalized_query": "Apply mathematical operations to analyze fuel efficiency metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "11b76417555f40ff911bcfe20e2c6ba9", "memory_type": "task", "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", "extra_info": {"tags": ["math", "logarithm", "precision", "parameters"], "generalized_query": "Perform logarithmic calculations with defined base and precision"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4df7eb7efc334d0fb034317bb54cd7cc", "memory_type": "task", "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", "extra_info": {"tags": ["booking", "parameter-validation", "error-handling", "flight-booking", "api-calls"], "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": "task", "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", "extra_info": {"tags": ["messaging", "notification", "message_tracking", "user_id"], "generalized_query": "Message notification to a specified user"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "7fc611fbaa944e45b27ad1be530208c7", "memory_type": "task", "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", "extra_info": {"tags": ["authentication", "token", "grant_type", "expiration"], "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": "task", "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", "extra_info": {"tags": ["security", "support_ticket", "authentication", "credential_protection"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "stock", "trade", "visibility", "decision-making"], "generalized_query": "Retrieve user's current stock watchlist"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3fbb3e368cec4dce95e4c1c66e0b6a54", "memory_type": "task", "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", "extra_info": {"tags": ["order_management", "cancellation", "account_verification", "contextual_awareness"], "generalized_query": "User requests order cancellation and confirmation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "232f957292e84e75bc99b02e4b9b16d0", "memory_type": "task", "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", "extra_info": {"tags": ["file_comparison", "diff", "content_analysis", "file_diff", "text_comparison"], "generalized_query": "Compare two files for content differences"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "3e95481f992343cd885268cb129d8f38", "memory_type": "task", "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", "extra_info": {"tags": ["average", "data analysis", "metadata", "misinterpretation", "wc"], "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": "task", "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", "extra_info": {"tags": ["csv", "data entry", "pipe delimiter", "formatting", "echo"], "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": "task", "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", "extra_info": {"tags": ["watchlist_management", "stock_information_retrieval", "function_chaining", "user_request_satisfaction"], "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": "task", "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", "extra_info": {"tags": ["ticketing", "resolution", "user-instruction", "validation"], "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": "task", "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", "extra_info": {"tags": ["file-system", "directory-context", "disk-usage"], "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": "task", "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", "extra_info": {"tags": ["financial", "transaction", "order-management", "account-check", "error-prevention"], "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": "task", "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", "extra_info": {"tags": ["vehicle-preparation", "fueling", "safety-checks", "engine-start", "error-handling"], "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": "task", "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", "extra_info": {"tags": ["funding", "tool_selection", "account_management", "deposit", "efficiency"], "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": "task", "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", "extra_info": {"tags": ["order_details", "status_reporting", "user_clarity", "calculation", "communication"], "generalized_query": "Retrieve detailed information about an active order"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "78b1079adffb448786646ea3547f7cd8", "memory_type": "task", "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", "extra_info": {"tags": ["market_status", "pre_trade_check", "time_based_validation"], "generalized_query": "Determine market status based on current time"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "b7851e9958094158b232292f34cc95d3", "memory_type": "task", "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", "extra_info": {"tags": ["file_creation", "directory_navigation", "error_handling", "archiving", "touch", "cp"], "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": "task", "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", "extra_info": {"tags": ["text_search", "grep", "error_handling", "user_feedback", "pattern_matching"], "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": "task", "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", "extra_info": {"tags": ["time-sensitive", "sector-filtering", "market-data", "initial-analysis"], "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": "task", "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", "extra_info": {"tags": ["market-intervention", "order-cancellation", "urgency"], "generalized_query": "Cancel an active order immediately"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e1608d235d584b7fa4639180720c3b75", "memory_type": "task", "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", "extra_info": {"tags": ["financial_analysis", "data_validation", "average_calculation", "stock_metrics", "unit_consistency"], "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": "task", "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", "extra_info": {"tags": ["market_status", "time_based_trading", "temporal_data", "status_update"], "generalized_query": "Determine the current market status based on time"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "e01371f991bc46a680d5b61904f87223", "memory_type": "task", "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", "extra_info": {"tags": ["unit_conversion", "fuel_refueling", "vehicle_systems", "precision_calculation"], "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": "task", "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", "extra_info": {"tags": ["safety_procedures", "engine_startup", "error_handling", "vehicle_controls"], "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": "task", "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", "extra_info": {"tags": ["vehicle", "vibration", "tire", "diagnostics", "maintenance"], "generalized_query": "Investigate vehicle vibration by checking tire pressure"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "4ec1e2ace9114eb2bc7a2ad3927b9c37", "memory_type": "task", "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", "extra_info": {"tags": ["place_order", "get_stock_info", "transaction_execution", "order_confirmation"], "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": "task", "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", "extra_info": {"tags": ["booking_id", "placeholder", "validation", "travel_insurance", "credit_card"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "directory_navigation", "error_handling", "robust_workflows"], "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": "task", "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", "extra_info": {"tags": ["social-media", "team-communication", "tweet-formatting", "hashtag-strategy", "mention-optimization"], "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": "task", "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", "extra_info": {"tags": ["file existence check", "diff", "file operations", "pre-check"], "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": "task", "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", "extra_info": {"tags": ["ticket resolution", "get_ticket", "resolve_ticket", "status check"], "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": "task", "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", "extra_info": {"tags": ["flight booking", "API debugging", "credit card integration", "error handling"], "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": "task", "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", "extra_info": {"tags": ["technical support", "error documentation", "API troubleshooting"], "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": "task", "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", "extra_info": {"tags": ["vehicle", "maintenance", "tire_pressure", "tool_validation"], "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": "task", "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", "extra_info": {"tags": ["Twitter", "Authentication", "PostTweet", "Authorization"], "generalized_query": "Post a tweet with specific content and hashtags"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_32b", "memory_id": "5adc2944e6464b5da1e0610e5d3d49c6", "memory_type": "task", "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", "extra_info": {"tags": ["trade-execution", "account-validation", "insufficient-funds", "actionable-insights", "user-guidance"], "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": "task", "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", "extra_info": {"tags": ["file-operations", "directory-context", "path-verification", "file-creation"], "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": "task", "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", "extra_info": {"tags": ["data-parsing", "numerical-calculation", "text-processing"], "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": "task", "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", "extra_info": {"tags": ["vehicle_preparation", "system_checks", "error_handling", "navigation", "road_trip"], "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": "task", "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", "extra_info": {"tags": ["vehicle_preparation", "fuel_level_check", "tank_capacity", "road_trip", "error_prevention"], "generalized_query": "Ensure vehicle fuel level is maximized before a road trip to avoid refueling stops."}, "utility": 0, "freq": 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}}

docs/library/paper_data/task/bfcl_qwen3_8b.jsonl

@@ -1,96 +1,96 @@
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "3bd4929d874a4750b0d4ab78c0246299", "memory_type": "task", "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", "extra_info": {"tags": ["stock_lookup", "watchlist_management", "messaging", "data_verification", "sequence_flow"], "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": "task", "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", "extra_info": {"tags": ["safety_check", "engine_start", "door_locks", "parking_brake"], "generalized_query": "Initiate vehicle engine start with safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "1479882d641c4c4989c8d3f0246cb4ea", "memory_type": "task", "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", "extra_info": {"tags": ["trip_feasibility", "mileage", "fuel_capacity", "distance_estimation"], "generalized_query": "Evaluate trip feasibility based on vehicle parameters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "34cdf7e2ecb64cce849913f70c20d196", "memory_type": "task", "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", "extra_info": {"tags": ["stock analysis", "watchlist", "price criteria", "proactive suggestions", "technical indicators"], "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": "task", "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", "extra_info": {"tags": ["order retrieval", "ambiguous requests", "efficiency", "user experience"], "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": "task", "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", "extra_info": {"tags": ["market_status", "time_based_check", "trading_eligibility", "sequence_dependency"], "generalized_query": "Check current market status for trading eligibility"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "10ea702092534d089059fe40ce558dcc", "memory_type": "task", "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", "extra_info": {"tags": ["fuel", "unit_conversion", "vehicle_operations", "refill"], "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": "task", "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", "extra_info": {"tags": ["safety_checks", "engine_start", "vehicle_operations"], "generalized_query": "Start vehicle engine after safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b4de97c12b94476c9b71063eb431c45f", "memory_type": "task", "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", "extra_info": {"tags": ["tire_inspection", "data_analysis", "vehicle_maintenance"], "generalized_query": "Assess tire pressure and calculate average"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "bbba0ee9cf1f42ef8279ce45c8218b54", "memory_type": "task", "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", "extra_info": {"tags": ["flight booking", "immediate cancellation", "high-priority ticket", "parameter validation", "ticket creation"], "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": "task", "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", "extra_info": {"tags": ["account", "notification", "login", "dependency", "sequence"], "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": "task", "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", "extra_info": {"tags": ["stock-addition", "symbol-lookup", "watchlist-management"], "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": "task", "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", "extra_info": {"tags": ["retrieve_invoice", "booking_id", "insurance", "flight", "validation"], "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": "task", "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", "extra_info": {"tags": ["parameter_validation", "flight_booking", "cost_verification"], "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": "task", "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", "extra_info": {"tags": ["flight booking", "airport codes", "parameter validation", "traveler verification"], "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": "task", "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", "extra_info": {"tags": ["order review", "missing parameters", "user interaction", "cancellation decision"], "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": "task", "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", "extra_info": {"tags": ["market_status", "time_based_analysis", "pre_trading_check", "status_update"], "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": "task", "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", "extra_info": {"tags": ["stock_analysis", "watchlist_management", "performance_metrics", "data_driven_decisions"], "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": "task", "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", "extra_info": {"tags": ["vehicle_safety", "preconditions", "engine_start", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["social_media", "content_validation", "tweet_formatting", "interaction_sequence"], "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": "task", "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", "extra_info": {"tags": ["travel_planning", "fuel_efficiency", "distance_calculation", "pre_trip_check"], "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": "task", "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", "extra_info": {"tags": ["vehicle_safety", "engine_start", "brake_pedal", "pre_start_checks"], "generalized_query": "Start vehicle engine with required safety prerequisites"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6ee9bf5958cf4942a89e121f50ae833c", "memory_type": "task", "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", "extra_info": {"tags": ["statistical-analysis", "file-processing", "tool-chaining", "math-api"], "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": "task", "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", "extra_info": {"tags": ["account_info", "support_ticket", "verification", "synchronization", "user_report"], "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": "task", "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", "extra_info": {"tags": ["trade_order", "verification", "order_execution", "risk_management"], "generalized_query": "Execute trade orders with precise parameters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "97fb126a89ee4079a93117f9c625b489", "memory_type": "task", "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", "extra_info": {"tags": ["location-based", "distance-calculation", "social-media", "trip-planning", "genealogy"], "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": "task", "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", "extra_info": {"tags": ["market status", "time synchronization", "trading preparation", "context awareness"], "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": "task", "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", "extra_info": {"tags": ["vehicle", "safety", "pre-start", "engine", "checks"], "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": "task", "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", "extra_info": {"tags": ["twitter", "authentication", "retweet", "comment", "engagement"], "generalized_query": "Enhance tweet visibility through social media engagement actions"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "6c86455e09114ad59f78f5622fceeb1e", "memory_type": "task", "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", "extra_info": {"tags": ["unit", "conversion", "fuel", "precision", "measurement"], "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": "task", "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", "extra_info": {"tags": ["stock info", "symbol lookup", "market data", "data retrieval"], "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": "task", "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", "extra_info": {"tags": ["account verification", "balance check", "payment confirmation"], "generalized_query": "Confirm account details and payment method alignment"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "1dc795523f644d77bc6eb9342b0c5242", "memory_type": "task", "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", "extra_info": {"tags": ["order_execution", "transaction_verification", "buy_order"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "path_validation", "copy_move"], "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": "task", "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", "extra_info": {"tags": ["file_listing", "hidden_files", "directory_traversal"], "generalized_query": "List all files and directories including hidden ones"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "aa4c2ff14d724b06a09d9ad20c21168c", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle_security", "pre_drive_check", "system_status_check"], "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": "task", "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", "extra_info": {"tags": ["messaging", "authentication", "user_notification"], "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": "task", "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", "extra_info": {"tags": ["file", "move", "directory", "path", "validation"], "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": "task", "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", "extra_info": {"tags": ["social-media", "tweet-posting", "comment-engagement", "hashtag-strategy"], "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": "task", "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", "extra_info": {"tags": ["file-review", "alphabetical-sorting", "data-organization"], "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": "task", "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", "extra_info": {"tags": ["search", "file_operations", "partial_match"], "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": "task", "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", "extra_info": {"tags": ["message_history", "authentication", "user_context"], "generalized_query": "Retrieve historical message records for a user"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "95008f787f634dcf85095605b0a739c8", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle_operation", "engine_start", "door_lock", "pre_start_checks"], "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": "task", "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", "extra_info": {"tags": ["vehicle_operations", "safety_procedures", "error_handling", "sequential_execution"], "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": "task", "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", "extra_info": {"tags": ["vehicle", "engine", "safety", "preconditions", "doors"], "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": "task", "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", "extra_info": {"tags": ["fuel", "efficiency", "range", "estimation", "vehicle"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "ticket_management", "conditional_logic", "error_handling"], "generalized_query": "Update ticket priority based on file content metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "39570362a62546a29646fe25458cfa93", "memory_type": "task", "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", "extra_info": {"tags": ["file_verification", "naming_conventions", "user_intent", "error_prevention"], "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": "task", "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", "extra_info": {"tags": ["ls", "cd", "file_search", "directory_navigation"], "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": "task", "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", "extra_info": {"tags": ["flight_cost", "parameterization", "real_time_data", "specific_route"], "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": "task", "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", "extra_info": {"tags": ["budget_management", "authorization", "financial_constraints", "access_token"], "generalized_query": "Set a budget limit for travel expenditures"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "f2ee0b879b8647e8a7b43e72464904d5", "memory_type": "task", "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", "extra_info": {"tags": ["flight booking", "parameter validation", "API accuracy", "cost calculation"], "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": "task", "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", "extra_info": {"tags": ["message sending", "recipient validation", "workspace communication"], "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": "task", "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", "extra_info": {"tags": ["credit_card", "registration", "token_dependency", "validation"], "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": "task", "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", "extra_info": {"tags": ["location", "distance", "zip codes", "trip planning"], "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": "task", "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", "extra_info": {"tags": ["fuel management", "unit conversion", "vehicle status"], "generalized_query": "Convert vehicle fuel level from gallons to liters"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "f5d798bba835456aa5721160b45b8f2a", "memory_type": "task", "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", "extra_info": {"tags": ["safety checks", "vehicle preparation", "ignition protocol"], "generalized_query": "Execute pre-start vehicle safety protocols"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "05b16a709cd943f0bbaf61e67b2166ea", "memory_type": "task", "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", "extra_info": {"tags": ["mathematics", "logarithm", "precision", "unit_conversion"], "generalized_query": "Calculating logarithm with specified base and precision"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "e334ef25bd454c2d83fbf463a50f786a", "memory_type": "task", "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", "extra_info": {"tags": ["file_operations", "tail", "diff", "directory_navigation", "content_comparison"], "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": "task", "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", "extra_info": {"tags": ["edge_case_handling", "directory_state_check", "file_access"], "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": "task", "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", "extra_info": {"tags": ["security", "ticketing", "authentication", "sensitive-data", "support-ticket"], "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": "task", "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", "extra_info": {"tags": ["watchlist", "stock_monitoring", "account_management", "trading_system"], "generalized_query": "Retrieve user's current watchlist of monitored stocks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d1a62fe69c1245d69d73ab6aca57ddc7", "memory_type": "task", "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", "extra_info": {"tags": ["data_analysis", "average_calculation", "csv_processing", "error_checking"], "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": "task", "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", "extra_info": {"tags": ["add_to_watchlist", "get_stock_info", "watchlist", "stock_details", "verification"], "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": "task", "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", "extra_info": {"tags": ["file-creation", "echo-tool", "content-writing", "error-handling"], "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": "task", "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", "extra_info": {"tags": ["disk-usage", "du-tool", "human-readable", "file-system"], "generalized_query": "Request human-readable disk usage for a directory"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "2903e8cca801490788de7550c7ecc4c8", "memory_type": "task", "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", "extra_info": {"tags": ["ticket-resolution", "resolve-ticket", "optional-fields", "efficiency"], "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": "task", "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", "extra_info": {"tags": ["watchlist_management", "order_processing", "user_adjustments", "state_aware_modifications"], "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": "task", "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", "extra_info": {"tags": ["market-status", "function-call", "accuracy", "pre-trade-validation"], "generalized_query": "Determine market status based on current time"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "d47b1f15fdb54305b640a5cef0109cd6", "memory_type": "task", "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", "extra_info": {"tags": ["order-confirmation", "validation", "post-action-check"], "generalized_query": "Retrieve and confirm order execution status"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "827425590da348dd9efd4e8716ef0b93", "memory_type": "task", "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", "extra_info": {"tags": ["vehicle_preparation", "safety_checks", "engine_start", "door_lock_verification"], "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": "task", "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", "extra_info": {"tags": ["tire_pressure", "safety_check", "service_center_locator"], "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": "task", "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", "extra_info": {"tags": ["file_operations", "directory_verification", "mv", "cp"], "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": "task", "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", "extra_info": {"tags": ["unit_conversion", "fuel_fill", "vehicle_prep", "gallon_liter"], "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": "task", "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", "extra_info": {"tags": ["engine_start", "safety_checks", "brake_pedal", "door_lock"], "generalized_query": "Start the vehicle engine with safety checks"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "109222fd1e4f46009f9b74ccda6b158c", "memory_type": "task", "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", "extra_info": {"tags": ["trade execution", "order placement", "market data retrieval", "order cancellation", "stock trading"], "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": "task", "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", "extra_info": {"tags": ["order_status", "user_notification", "real_time_data"], "generalized_query": "Obtain real-time status of an active order"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "e8629c83dd9a46eabd075b6b62500ef4", "memory_type": "task", "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", "extra_info": {"tags": ["market_status", "time_dependency", "trading_system"], "generalized_query": "Determine market status using current time data"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "59eadbebc514403ebe8af264a4a38ed2", "memory_type": "task", "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", "extra_info": {"tags": ["financial_analysis", "mean_calculation", "metrics_aggregation"], "generalized_query": "Compute the mean of numerical financial metrics"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "58e509d2954d4d9a952f1fa99348b80b", "memory_type": "task", "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", "extra_info": {"tags": ["watchlist", "stock_management", "trade_execution", "get_stock_info", "place_order"], "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": "task", "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", "extra_info": {"tags": ["order_confirmation", "get_order_details", "transaction_tracking", "order_status"], "generalized_query": "Retrieve order details by order ID"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "b47a2718b8d641b1872cdaffc72095ae", "memory_type": "task", "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", "extra_info": {"tags": ["booking_id", "credit_card", "validation", "transaction", "error_handling"], "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": "task", "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", "extra_info": {"tags": ["file-comparison", "social-media", "team-communication", "version-tracking"], "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": "task", "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", "extra_info": {"tags": ["file-management", "version-control", "directory-operations"], "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": "task", "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", "extra_info": {"tags": ["twitter_api", "authentication", "post_tweet"], "generalized_query": "Post a tweet with mentions and hashtags"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5a52d5a789804c249ec7d0d790a62cdb", "memory_type": "task", "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", "extra_info": {"tags": ["file_operations", "diff_tool", "filename_validation", "ticketing_system"], "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": "task", "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", "extra_info": {"tags": ["ticket_resolution", "resolve_ticket_tool", "support_tickets"], "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": "task", "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", "extra_info": {"tags": ["social_media", "authentication", "tweet_posting", "precondition_check"], "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": "task", "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", "extra_info": {"tags": ["vehicle_maintenance", "safety_checks", "location_services", "threshold_verification"], "generalized_query": "Check vehicle safety metrics and locate service providers"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "799e6732195445c6931de65e6e6d3f14", "memory_type": "task", "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", "extra_info": {"tags": ["account_verification", "order_placement", "order_cancellation", "stock_price_check", "trade_execution"], "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": "task", "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", "extra_info": {"tags": ["flight booking", "credit card integration", "invoice retrieval", "API error handling", "parameter validation"], "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": "task", "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", "extra_info": {"tags": ["error resolution", "customer support", "technical communication", "booking anomaly"], "generalized_query": "Resolve booking anomalies through customer support escalation"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "5b6ad6f974d241668bf99da5ea648200", "memory_type": "task", "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", "extra_info": {"tags": ["team communication", "messaging API", "sender authentication", "status updates"], "generalized_query": "Notify stakeholders about travel status changes"}, "utility": 0, "freq": 0}}
-{"workspace_id": "bfcl_qwen3_8b", "memory_id": "0b280570e3ca4ef6b9b0d05e90a970e1", "memory_type": "task", "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", "extra_info": {"tags": ["file_operations", "validation", "directory_navigation"], "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": "task", "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", "extra_info": {"tags": ["data_processing", "numerical_analysis", "text_parsing"], "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": "task", "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", "extra_info": {"tags": ["fuel", "vehicle_check", "pre_trip", "incremental_action"], "generalized_query": "Verify and optimize vehicle fuel level for long-distance travel"}, "utility": 0, "freq": 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}}

reme/config/service.yaml

@@ -14,6 +14,147 @@ http:
   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: true)."
+        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"

reme/config/vector.yaml

@@ -42,4 +42,3 @@ token_counters:
     backend: hf
     model_name: Qwen/Qwen3-Coder-30B-A3B-Instruct
     use_mirror: true
-

reme/core/schema/memory_node.py

@@ -123,6 +123,15 @@ class MemoryNode(BaseModel):
         Returns:
             VectorNode: Vector node representation of this memory.
         """
+        safe_metadata: dict[str, str | bool | int | float] = {}
+        for key, value in self.metadata.items():
+            if isinstance(value, (str, bool, int, float)):
+                safe_metadata[key] = value
+            elif isinstance(value, (list, tuple, set)):
+                safe_metadata[key] = ",".join(str(v) for v in value)
+            else:
+                safe_metadata[key] = str(value)
+
         # Build base metadata (shared fields)
         metadata: dict[str, Any] = {
             "memory_type": self.memory_type.value,
@@ -133,7 +142,7 @@ class MemoryNode(BaseModel):
             "time_modified": self.time_modified,
             "author": self.author,
             "score": self.score,
-            **self.metadata,
+            **safe_metadata,
         }
 
         if self.when_to_use:

reme/memory/vector_based/procedural/procedural_retriever.py

@@ -1,10 +1,35 @@
 """Procedural memory retriever agent implementation."""
 
 from ..base_memory_agent import BaseMemoryAgent
-from ....core.enumeration import MemoryType
-
+from ....core.enumeration import Role, MemoryType
+from ....core.schema import Message
+from ....core.utils import format_messages
 
 class ProceduralRetriever(BaseMemoryAgent):
     """Agent responsible for retrieving procedural memories."""
 
     memory_type: MemoryType = MemoryType.PROCEDURAL
+    
+    async def build_messages(self) -> list[Message]:
+        """Build messages with system prompt and user message."""
+        if self.context.get("query"):
+            context = self.context.query
+        elif self.context.get("messages"):
+            context = format_messages(self.context.messages)
+        else:
+            raise ValueError("input must have either `query` or `messages`")
+
+        return [
+            Message(
+                role=Role.SYSTEM, 
+                content=self.prompt_format(
+                    prompt_name="system_prompt",
+                    meta_memory_info=await self._read_meta_memories(),
+                    context=context,
+                )
+            ),
+            Message(
+                role=Role.USER, 
+                content=self.get_prompt("user_message")
+            ),
+        ]

reme/memory/vector_based/procedural/procedural_summarizer.py

@@ -1,10 +1,46 @@
 """Procedural memory summarizer agent implementation."""
 
 from ..base_memory_agent import BaseMemoryAgent
-from ....core.enumeration import MemoryType
-
+from ....core.enumeration import Role, MemoryType
+from ....core.schema import Message
+from ....core.utils import format_messages
 
 class ProceduralSummarizer(BaseMemoryAgent):
     """Agent responsible for summarizing procedural memories."""
 
     memory_type: MemoryType = MemoryType.PROCEDURAL
+
+    async def build_messages(self) -> list[Message]:
+        return [
+            Message(
+                role=Role.SYSTEM, 
+                content=self.prompt_format(
+                    prompt_name="system_prompt",
+                    context=self.description + "\n" + format_messages(self.get_messages()),
+                    outcome="successful task completion" if self.success else "task failure",
+                    memory_type=self.memory_type.value,
+                    memory_target=self.memory_target,
+                )
+            ),
+            Message(
+                role=Role.USER, 
+                content=self.get_prompt("user_message")
+            ),
+        ]
+
+    async def _reasoning_step(self, messages: list[Message], step: int, **kwargs) -> tuple[Message, bool]:
+        return await super()._reasoning_step(messages, step, **kwargs)
+
+    async def _acting_step(self, assistant_message: Message, step: int, **kwargs) -> list[Message]:
+        """Execute tool calls with memory_target, memory_type, and author context."""
+        messages: list[Message] = await super()._acting_step(
+            assistant_message,
+            step,
+            memory_type=self.memory_type.value,
+            memory_target=self.memory_target,
+            ref_memory_id=self.ref_memory_id,
+            author=self.author,
+            **kwargs,
+        )
+
+        return messages

reme/workflow/procedural_memory/__init__.py

@@ -1,46 +1,47 @@
-# summary retriever vector store 的 op
+"""Procedural memory workflow."""
 
-# 1. BaseAsyncOp -> reme.core.op.BaseOp
-# 2. @C.register_op() -> R.op.register()(MergeMemoryOp)
-# for name in __all__:
-#     tool_class = globals()[name]
-#     R.op.register()(tool_class)
-# 3. class name 不一定叫 op
-# 4. async def async_execute(self): —》async def execute(self):
-# 5. self.llm.chat
-# 6.     file_path: str = __file__ 不需要
-# 7. self.op_params.get("enable_llm_rerank", True) 都改成 self.context.get("enable_llm_rerank", True)
-#
-#
-# # 跑起来 reme = "reme_ai.main:main" -> reme = "reme.reme_app:main"
-#
-# app = ReMeApp()
-#
-#
-# def test_search():
-#     """Test search tool operations.
-#
-#     Tests DashscopeSearch, MockSearch, and TavilySearch operations
-#     with a sample query to verify they work correctly.
-#     """
-#     from reme.tool.search import DashscopeSearch, MockSearch, TavilySearch
-#
-#     query = "今天杭州的天气如何？"
-#
-#     for op in [
-#         DashscopeSearch(),
-#         MockSearch(),
-#         TavilySearch(),
-#     ]:
-#         print("\n" + "=" * 60)
-#         print(f"Testing {op.__class__.__name__}")
-#         print("=" * 60)
-#         print(f"Query: {query}")
-#         output = asyncio.run(op.call(query=query, service_context=app.service_context))
-#
-# self.context.query
-# app.service_context 保证了 self.llm emb vectorstore
+from ...core import R
 
-# examples
-# bench 里的llm ，辛苦改成 app = ReMeApp() app.default_llm
-# clear && pre-commit run --all-files
+from .dump_memory import DumpMemory
+from .load_memory import LoadMemory
+
+from .summary.trajectory_preprocess import TrajectoryPreprocess
+from .summary.trajectory_segmentation import TrajectorySegmentation
+from .summary.success_extraction import SuccessExtraction
+from .summary.failure_extraction import FailureExtraction
+from .summary.comparative_extraction import ComparativeExtraction
+from .summary.memory_validation import MemoryValidation
+from .summary.memory_deduplication import MemoryDeduplication
+from .summary.memory_addition import MemoryAddition
+
+from .retrieve.build_query import BuildQuery
+from .retrieve.memory_deletion import MemoryDeletion
+from .retrieve.memory_retrieval import MemoryRetrieval
+from .retrieve.merge_memory import MergeMemory
+from .retrieve.rerank_memory import RerankMemory
+from .retrieve.rewrite_memory import RewriteMemory
+from .retrieve.update_memory_metadata import UpdateMemoryMetadata
+
+__all__ = [
+    "DumpMemory",
+    "LoadMemory",
+    "TrajectoryPreprocess",
+    "TrajectorySegmentation",
+    "SuccessExtraction",
+    "FailureExtraction",
+    "ComparativeExtraction",
+    "MemoryValidation",
+    "MemoryDeduplication",
+    "MemoryAddition",
+    "BuildQuery",
+    "MemoryDeletion",
+    "MemoryRetrieval",
+    "MergeMemory",
+    "RerankMemory",
+    "RewriteMemory",
+    "UpdateMemoryMetadata",
+]
+
+for name in __all__:
+    tool_class = globals()[name]
+    R.ops.register()(tool_class)

reme/workflow/procedural_memory/dump_memory.py

@@ -0,0 +1,63 @@
+"""Operation for dumping memories from vector store to JSONL file."""
+
+import json
+from pathlib import Path
+from typing import List
+
+from loguru import logger
+
+from ...core.op import BaseOp
+from ...core.schema.memory_node import MemoryNode
+from ...core.schema.vector_node import VectorNode
+
+
+class DumpMemory(BaseOp):
+    """Operation that dumps memories from vector store to a JSONL file.
+
+    This operation retrieves all memories from the vector store, converts them
+    to MemoryNode objects, and writes them to a JSONL file (one JSON object
+    per line) for backup or export purposes.
+    """
+
+    async def execute(self):
+        """Execute the memory dump operation.
+
+        Dumps all memories from the vector store to a JSONL file:
+        1. Retrieves all VectorNodes from the vector store
+        2. Converts them to MemoryNode objects
+        3. Writes each MemoryNode as a JSON line to the output file
+
+        Expected context attributes:
+            dump_file_path: Path to the output JSONL file.
+
+        Sets context attributes:
+            dumped_count: Number of memories dumped to the file.
+        """
+        # Support both dump_file_path and path for backward compatibility
+        dump_file_path: str = self.context.dump_file_path
+        if not dump_file_path:
+            logger.error("dump_file_path is required in context")
+            return
+
+        file_path = Path(dump_file_path)
+        file_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Retrieve all nodes from vector store
+        vector_nodes: List[VectorNode] = await self.vector_store.list()
+        logger.info(f"Retrieved {len(vector_nodes)} nodes from vector store")
+
+        # Convert to MemoryNodes and write to JSONL file
+        dumped_count = 0
+        with open(file_path, "w", encoding="utf-8") as f:
+            for node in vector_nodes:
+                try:
+                    memory = MemoryNode.from_vector_node(node)
+                    # Write as JSON line (one JSON object per line)
+                    json_line = json.dumps(memory.model_dump(exclude_none=True), ensure_ascii=False)
+                    f.write(json_line + "\n")
+                    dumped_count += 1
+                except Exception as e:
+                    logger.warning(f"Failed to convert and dump node {node.vector_id}: {e}")
+                    continue
+
+        logger.info(f"Dumped {dumped_count} memories to {dump_file_path}")

reme/workflow/procedural_memory/load_memory.py

@@ -0,0 +1,82 @@
+"""Operation for loading memories from JSONL file to vector store."""
+
+import json
+import asyncio
+from pathlib import Path
+from typing import List
+
+from loguru import logger
+
+from ...core.op import BaseOp
+from ...core.schema.memory_node import MemoryNode
+from ...core.schema.vector_node import VectorNode
+
+
+class LoadMemory(BaseOp):
+    """Operation that loads memories from a JSONL file to vector store.
+
+    This operation reads MemoryNode objects from a JSONL file (one JSON object
+    per line), converts them to VectorNode objects, and inserts them into the
+    vector store.
+    """
+
+    async def execute(self):
+        """Execute the memory load operation.
+
+        Loads memories from a JSONL file to the vector store:
+        1. Reads each line from the JSONL file
+        2. Parses JSON and creates MemoryNode objects
+        3. Converts MemoryNodes to VectorNodes
+        4. Inserts them into the vector store
+
+        Expected context attributes:
+            load_file_path: Path to the input JSONL file.
+            clear_existing: Optional. If True, clears existing memories before loading (default: False).
+
+        Sets context attributes:
+            loaded_count: Number of memories loaded from the file.
+        """
+        load_file_path: str = self.context.load_file_path
+        if not load_file_path:
+            logger.error("load_file_path is required in context")
+            return
+
+        file_path = Path(load_file_path)
+        if not file_path.exists():
+            logger.error(f"File not found: {load_file_path}")
+            return
+
+        try:
+            # Attempt to retrieve the event loop associated with the current thread
+            loop = asyncio.get_running_loop()
+            print(f"Running event loop found: {loop}")
+        except RuntimeError:
+            # Start a new event loop to run the coroutine to completion
+            print("No running event loop found, starting a new one")
+
+        clear_existing: bool = self.context.get("clear_existing", False)
+        if clear_existing:
+            await self.vector_store.delete_all()
+            logger.info("Cleared existing memories from vector store")
+
+        # Read and parse JSONL file
+        memory_nodes: List[MemoryNode] = []
+        with open(file_path, "r", encoding="utf-8") as f:
+            for line_num, line in enumerate(f, 1):
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    data = json.loads(line)
+                    memory = MemoryNode.model_validate(data)
+                    memory_nodes.append(memory)
+                except Exception as e:
+                    logger.warning(f"Failed to parse line {line_num} in {load_file_path}: {e}")
+                    continue
+        logger.info(f"Parsed {len(memory_nodes)} memories from {load_file_path}")
+
+        # Convert to VectorNodes and insert into vector store
+        if memory_nodes:
+            vector_nodes: List[VectorNode] = [memory.to_vector_node() for memory in memory_nodes]
+            await self.vector_store.insert(nodes=vector_nodes)
+            logger.info(f"Loaded {len(memory_nodes)} memories into vector store")

reme/workflow/procedural_memory/retrieve/build_query.py

@@ -0,0 +1,58 @@
+"""Query building operation module.
+
+This module provides functionality to build retrieval queries from either
+explicit query strings or conversation messages, optionally using LLM to
+generate optimized queries.
+"""
+
+from loguru import logger
+
+from ....core.enumeration import Role
+from ....core.op import BaseOp
+from ....core.schema.message import Message
+from ..utils import merge_messages_content
+
+
+class BuildQuery(BaseOp):
+    """Build retrieval query from context or messages.
+
+    This operation constructs a query string for memory retrieval. It can use
+    an explicit query from context, or generate one from conversation messages
+    using either LLM-based generation or simple message concatenation.
+    """
+
+    async def execute(self):
+        """Execute the query building operation.
+
+        Builds a query string from either:
+        1. An explicit query in the context
+        2. Conversation messages (using LLM or simple concatenation)
+
+        Stores the built query in context.query.
+        """
+        if "query" in self.context:
+            query = self.context.query
+
+        elif "messages" in self.context:
+            if self.context.get("enable_llm_build", True):
+                execution_process = merge_messages_content(self.context.messages)
+                prompt = self.prompt_format(prompt_name="query_build", execution_process=execution_process)
+                message = await self.llm.chat(messages=[Message(role=Role.USER, content=prompt)])
+                query = message.content
+
+            else:
+                context_parts = []
+                message_summaries = []
+                for message in self.context.messages[-3:]:  # Last 3 messages
+                    content = message.content[:200] + "..." if len(message.content) > 200 else message.content
+                    message_summaries.append(f"- {message.role.value}: {content}")
+                if message_summaries:
+                    context_parts.append("Recent messages:\n" + "\n".join(message_summaries))
+
+                query = "\n\n".join(context_parts)
+
+        else:
+            raise RuntimeError("query or messages is required!")
+
+        logger.info(f"build.query={query}")
+        self.context.query = query

reme/workflow/procedural_memory/retrieve/build_query.yaml

@@ -0,0 +1,6 @@
+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.

reme/workflow/procedural_memory/retrieve/memory_deletion.py

@@ -0,0 +1,54 @@
+"""Operation for deleting memories from the vector store."""
+
+import json
+from typing import List
+
+from loguru import logger
+
+from ....core.op import BaseOp
+from ....core.schema.vector_node import VectorNode
+
+
+class MemoryDeletion(BaseOp):
+    """Operation that deletes memories from the vector store.
+
+    This operation identifies memories to delete based on frequency and utility
+    thresholds, then deletes them. Memories with frequency >= freq_threshold
+    and utility/frequency ratio < utility_threshold are deleted.
+    """
+
+    async def execute(self):
+        """Execute the memory deletion operation.
+
+        Identifies and deletes memories from the vector store:
+        1. Lists all nodes from the vector store
+        2. Identifies memories that meet deletion criteria based on thresholds
+        3. Deletes identified memories from the vector store
+        4. Stores deletion count in response.metadata["result"]
+
+        The deletion criteria:
+        - Memory frequency must be >= freq_threshold
+        - Memory utility/frequency ratio must be < utility_threshold
+
+        Expected context attributes:
+            freq_threshold: Minimum frequency threshold for consideration.
+            utility_threshold: Maximum utility/frequency ratio threshold.
+        """
+
+        # Step 1: Identify memories to delete based on thresholds
+        freq_threshold: int = self.context.freq_threshold
+        utility_threshold: float = self.context.utility_threshold
+        nodes: List[VectorNode] = await self.vector_store.list()
+
+        deleted_memory_ids = []
+        for node in nodes:
+            freq = node.metadata.get("freq", 0)
+            utility = node.metadata.get("utility", 0)
+            if freq >= freq_threshold:
+                if freq > 0 and utility * 1.0 / freq < utility_threshold:
+                    deleted_memory_ids.append(node.vector_id)
+
+        # Step 2: Execute deletion if there are any IDs to delete
+        if deleted_memory_ids:
+            await self.vector_store.delete(vector_ids=deleted_memory_ids)
+            logger.info(f"Deleted {len(deleted_memory_ids)} memories: {json.dumps(deleted_memory_ids, indent=2)}")

reme/workflow/procedural_memory/retrieve/memory_retrieval.py

@@ -0,0 +1,68 @@
+"""Operation for recalling memories from the vector store based on a query."""
+
+from typing import List
+
+from loguru import logger
+
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+from ....core.schema.vector_node import VectorNode
+
+
+class MemoryRetrieval(BaseOp):
+    """Operation that retrieves relevant memories from the vector store.
+
+    This operation performs a semantic search on the vector store to find
+    memories relevant to a given query. It supports optional score filtering
+    and deduplication based on memory content.
+    """
+
+    async def execute(self):
+        """Execute the memory recall operation.
+
+        Performs a semantic search in the vector store using the provided query,
+        retrieves the top-k most relevant memories, and optionally filters them
+        by a score threshold. Duplicate memories (based on content) are removed.
+
+        Expected context attributes:
+            query: The search query string.
+            top_k: Number of top results to retrieve (default: 3).
+
+        Expected context attributes (optional):
+            threshold_score: Optional minimum score threshold for filtering.
+
+        Sets response.metadata:
+            memory_list: List of retrieved MemoryNode objects.
+        """
+        top_k: int = self.context.get("top_k", 5)
+
+        query: str = self.context.get("query", "")
+        assert query, "query should be not empty!"
+
+        # Perform semantic search
+        nodes: List[VectorNode] = await self.vector_store.search(
+            query=query,
+            limit=top_k,
+            filters=None,
+        )
+
+        # Convert VectorNodes to MemoryNodes and deduplicate by content
+        memory_list: List[MemoryNode] = []
+        memory_content_set: set[str] = set()  # for deduplication
+        for node in nodes:
+            try:
+                memory = MemoryNode.from_vector_node(node)
+                if memory.content not in memory_content_set:
+                    memory_list.append(memory)
+                    memory_content_set.add(memory.content)
+            except Exception as e:
+                logger.warning(f"Failed to convert VectorNode to MemoryNode: {e}")
+                continue
+        logger.info(f"Retrieved memory.size={len(memory_list)}")
+
+        threshold_score: float | None = self.context.get("threshold_score", None)
+        if threshold_score is not None:
+            memory_list = [mem for mem in memory_list if mem.score >= threshold_score]
+            logger.info(f"After threshold filter: {len(memory_list)} memories retained")
+
+        self.context.response.metadata["memory_list"] = memory_list

reme/workflow/procedural_memory/retrieve/merge_memory.py

@@ -0,0 +1,45 @@
+"""Memory merging operation module.
+
+This module provides functionality to merge multiple retrieved memories
+into a single formatted context string for use in LLM responses.
+"""
+
+from typing import List
+
+from loguru import logger
+
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+
+
+class MergeMemory(BaseOp):
+    """Merge multiple memories into a single formatted context.
+
+    This operation takes a list of retrieved memories and formats them into
+    a single context string that can be used to guide LLM responses. It includes
+    instructions for the LLM to consider the helpful parts from these memories.
+    """
+
+    async def execute(self):
+        """Execute the memory merging operation.
+
+        Merges memories from context metadata into a formatted string with
+        instructions for the LLM. Stores the merged result in response.answer.
+        """
+        memory_list: List[MemoryNode] = self.context.response.metadata["memory_list"]
+
+        if not memory_list:
+            return
+
+        content_collector = ["Previous Memory"]
+        for memory in memory_list:
+            if not memory.content:
+                continue
+
+            content_collector.append(f"- {memory.when_to_use} {memory.content}\n")
+        content_collector.append(
+            "Please consider the helpful parts from these in answering the question, "
+            "to make the response more comprehensive and substantial.",
+        )
+        self.context.response.answer = "\n".join(content_collector)
+        logger.info(f"response.answer={self.context.response.answer}")

reme/workflow/procedural_memory/retrieve/rerank_memory.py

@@ -0,0 +1,186 @@
+"""Memory reranking operation module.
+
+This module provides functionality to rerank and filter retrieved memories
+using LLM-based reranking and score-based filtering to select the most relevant
+memories for the current task.
+"""
+
+import json
+import re
+from typing import List
+
+from loguru import logger
+
+from ....core.enumeration import Role
+from ....core.op import BaseOp
+from ....core.schema.message import Message
+from ....core.schema.memory_node import MemoryNode
+
+
+class RerankMemory(BaseOp):
+    """Rerank and filter recalled experiences using LLM and score-based filtering.
+
+    This operation takes recalled memories and applies multiple filtering and
+    ranking strategies to select the most relevant memories for the current task.
+    It supports LLM-based reranking and score-based filtering.
+    """
+
+    async def execute(self):
+        """Execute the memory reranking operation.
+
+        Applies LLM-based reranking (optional) and score-based filtering (optional)
+        to rerank retrieved memories. Stores the reranked results
+        in the context response metadata.
+        """
+        memory_list: List[MemoryNode] = self.context.response.metadata["memory_list"]
+        retrieval_query: str = self.context.query
+        enable_llm_rerank = self.context.get("enable_llm_rerank", False)
+        enable_score_filter = self.context.get("enable_score_filter", False)
+        min_score_threshold = self.context.get("min_score_threshold", 0.3)
+
+        if not memory_list:
+            logger.info("No recalled memory_list to rerank")
+            return
+
+        logger.info(f"Reranking {len(memory_list)} memories")
+
+        # Step 1: LLM reranking (optional)
+        if enable_llm_rerank:
+            memory_list = await self._llm_rerank(retrieval_query, memory_list)
+            logger.info(f"After LLM reranking: {len(memory_list)} memories")
+
+        # Step 2: Score-based filtering (optional)
+        if enable_score_filter:
+            memory_list = self._score_based_filter(memory_list, min_score_threshold)
+            logger.info(f"After score filtering: {len(memory_list)} memories")
+
+        # Store results in context
+        self.context.response.metadata["memory_list"] = memory_list
+
+    async def _llm_rerank(self, query: str, candidates: List[MemoryNode]) -> List[MemoryNode]:
+        """LLM-based reranking of candidate experiences.
+
+        Args:
+            query: The retrieval query used to rank candidates.
+            candidates: List of memory candidates to rerank.
+
+        Returns:
+            List of memories reranked by relevance to the query.
+        """
+        if not candidates:
+            return candidates
+
+        # Format candidates for LLM evaluation
+        candidates_text = self._format_candidates_for_rerank(candidates)
+
+        prompt = self.prompt_format(
+            prompt_name="memory_rerank_prompt",
+            query=query,
+            candidates=candidates_text,
+            num_candidates=len(candidates),
+        )
+
+        response = await self.llm.chat(messages=[Message(role=Role.USER, content=prompt)])
+
+        # Parse reranking results
+        reranked_indices = self._parse_rerank_response(response.content)
+
+        # Reorder candidates based on LLM ranking
+        if reranked_indices:
+            reranked_candidates = []
+            for idx in reranked_indices:
+                if 0 <= idx < len(candidates):
+                    reranked_candidates.append(candidates[idx])
+
+            # Add any remaining candidates that weren't explicitly ranked
+            ranked_indices_set = set(reranked_indices)
+            for i, candidate in enumerate(candidates):
+                if i not in ranked_indices_set:
+                    reranked_candidates.append(candidate)
+
+            return reranked_candidates
+
+        return candidates
+
+    @staticmethod
+    def _score_based_filter(memories: List[MemoryNode], min_score: float) -> List[MemoryNode]:
+        """Filter memories based on quality scores.
+
+        Args:
+            memories: List of memories to filter.
+            min_score: Minimum combined score threshold for filtering.
+
+        Returns:
+            List of memories that meet the minimum score threshold.
+        """
+        filtered_memories = []
+
+        for memory in memories:
+            # Get confidence score from metadata
+            confidence = memory.metadata.get("confidence", 0.5)
+            validation_score = memory.score or 0.5
+
+            # Calculate combined score
+            combined_score = (confidence + validation_score) / 2
+
+            if combined_score >= min_score:
+                filtered_memories.append(memory)
+            else:
+                logger.debug(f"Filtered out memory with score {combined_score:.2f}")
+
+        logger.info(f"Score filtering: {len(filtered_memories)}/{len(memories)} memories retained")
+        return filtered_memories
+
+    @staticmethod
+    def _format_candidates_for_rerank(candidates: List[MemoryNode]) -> str:
+        """Format candidates for LLM reranking.
+
+        Args:
+            candidates: List of memory candidates to format.
+
+        Returns:
+            Formatted string representation of candidates for LLM evaluation.
+        """
+        formatted_candidates = []
+
+        for i, candidate in enumerate(candidates):
+            condition = candidate.when_to_use
+            content = candidate.content
+
+            candidate_text = f"Candidate {i}:\n"
+            candidate_text += f"Condition: {condition}\n"
+            candidate_text += f"Experience: {content}\n"
+
+            formatted_candidates.append(candidate_text)
+
+        return "\n---\n".join(formatted_candidates)
+
+    @staticmethod
+    def _parse_rerank_response(response: str) -> List[int]:
+        """Parse LLM reranking response to extract ranked indices.
+
+        Args:
+            response: The LLM response containing ranked indices.
+
+        Returns:
+            List of indices representing the reranked order.
+        """
+        try:
+            # Try to extract JSON format
+            json_pattern = r"```json\s*([\s\S]*?)\s*```"
+            json_blocks = re.findall(json_pattern, response)
+
+            if json_blocks:
+                parsed = json.loads(json_blocks[0])
+                if isinstance(parsed, dict) and "ranked_indices" in parsed:
+                    return parsed["ranked_indices"]
+                elif isinstance(parsed, list):
+                    return parsed
+
+            # Try to extract numbers from text
+            numbers = re.findall(r"\b\d+\b", response)
+            return [int(num) for num in numbers if int(num) < 100]  # Reasonable upper bound
+
+        except Exception as e:
+            logger.error(f"Error parsing rerank response: {e}")
+            return []

reme/workflow/procedural_memory/retrieve/rerank_memory.yaml

@@ -0,0 +1,25 @@
+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.

reme/workflow/procedural_memory/retrieve/rewrite_memory.py

@@ -0,0 +1,201 @@
+"""Memory rewriting operation module.
+
+This module provides functionality to rewrite and format retrieved memories
+into context messages that can be used by LLMs for task completion.
+"""
+
+import json
+import re
+from typing import List
+
+from loguru import logger
+
+from ....core.enumeration import Role
+from ....core.op import BaseOp
+from ....core.schema.message import Message
+from ....core.schema.memory_node import MemoryNode
+
+
+class RewriteMemory(BaseOp):
+    """Generate and rewrite context messages from reranked experiences.
+
+    This operation takes reranked memories and formats them into context messages
+    that can be used by LLMs. It optionally uses LLM-based rewriting to make
+    the context more relevant and actionable for the current task.
+    """
+
+    async def execute(self):
+        """Execute the memory rewrite operation.
+
+        Retrieves memories from context metadata, formats them, and optionally
+        rewrites them using LLM to make them more relevant for the current query.
+        Stores the rewritten context in the response answer field.
+        """
+        memory_list: List[MemoryNode] = self.context.response.metadata["memory_list"]
+        query: str = self.context.query
+        messages: List[Message] = [Message(**x) if isinstance(x, dict) else x for x in self.context.get("messages", [])]
+
+        if not memory_list:
+            logger.info("No reranked memories to rewrite")
+            self.context.response.answer = ""
+            return
+
+        logger.info(f"Generating context from {len(memory_list)} memories")
+
+        # Generate initial context message
+        rewritten_memory = await self._generate_context_message(query, messages, memory_list)
+
+        # Store results in context
+        self.context.response.answer = rewritten_memory
+        self.context.response.metadata["memory_list"] = [memory.model_dump() for memory in memory_list]
+
+    async def _generate_context_message(self, query: str, messages: List[Message], memories: List[MemoryNode]) -> str:
+        """Generate context message from retrieved memories.
+
+        Args:
+            query: The current query string.
+            messages: List of conversation messages for context.
+            memories: List of retrieved memories to format.
+
+        Returns:
+            Formatted context string, optionally rewritten by LLM.
+        """
+        if not memories:
+            return ""
+
+        try:
+            logger.info("memories")
+            # Format retrieved memories
+            formatted_memories = self._format_memories_for_context(memories)
+
+            if self.context.get("enable_llm_rewrite", False):
+                context_content = await self._rewrite_context(query, formatted_memories, messages)
+            else:
+                context_content = formatted_memories
+
+            return context_content
+
+        except Exception as e:
+            logger.error(f"Error generating context message: {e}")
+            return self._format_memories_for_context(memories)
+
+    async def _rewrite_context(self, query: str, context_content: str, messages: List[Message]) -> str:
+        """LLM-based context rewriting to make experiences more relevant and actionable.
+
+        Args:
+            query: The current query string.
+            context_content: The formatted context content to rewrite.
+            messages: List of conversation messages for additional context.
+
+        Returns:
+            Rewritten context string optimized for the current task.
+        """
+        if not context_content:
+            return context_content
+
+        try:
+            # Extract current context
+            current_context = self._extract_context(messages)
+
+            prompt = self.prompt_format(
+                prompt_name="memory_rewrite_prompt",
+                current_query=query,
+                current_context=current_context,
+                original_context=context_content,
+            )
+
+            response = await self.llm.chat(messages=[Message(role=Role.USER, content=prompt)])
+
+            # Extract rewritten context
+            rewritten_context = self._parse_json_response(response.content, "rewritten_context")
+
+            if rewritten_context and rewritten_context.strip():
+                logger.info("Context successfully rewritten for current task")
+                return rewritten_context.strip()
+
+            return context_content
+
+        except Exception as e:
+            logger.error(f"Error in context rewriting: {e}")
+            return context_content
+
+    @staticmethod
+    def _format_memories_for_context(memories: List[MemoryNode]) -> str:
+        """Format memories for context generation.
+
+        Args:
+            memories: List of memories to format.
+
+        Returns:
+            Formatted string containing all memories with their conditions and content.
+        """
+        formatted_memories = []
+
+        for i, memory in enumerate(memories, 1):
+            condition = memory.when_to_use
+            memory_content = memory.content
+            memory_text = f"Memory {i} :\n When to use: {condition}\n Content: {memory_content}\n"
+
+            formatted_memories.append(memory_text)
+
+        return "\n".join(formatted_memories)
+
+    @staticmethod
+    def _extract_context(messages: List[Message]) -> str:
+        """Extract relevant context from messages.
+
+        Args:
+            messages: List of conversation messages.
+
+        Returns:
+            Formatted string containing recent conversation context.
+        """
+        if not messages:
+            return ""
+
+        context_parts = []
+
+        # Add recent messages if available
+        recent_messages = messages[-3:]  # Last 3 messages
+        message_summaries = []
+        for message in recent_messages:
+            content = message.content[:300] + "..." if len(message.content) > 300 else message.content
+            message_summaries.append(f"- {message.role.value}: {content}")
+
+        if message_summaries:
+            context_parts.append("Recent conversation:\n" + "\n".join(message_summaries))
+
+        return "\n\n".join(context_parts)
+
+    @staticmethod
+    def _parse_json_response(response: str, key: str) -> str:
+        """Parse JSON response to extract specific key.
+
+        Args:
+            response: The response string that may contain JSON.
+            key: The key to extract from the JSON object.
+
+        Returns:
+            The value associated with the key, or the response string if parsing fails.
+        """
+        try:
+            # Try to extract JSON blocks
+            json_pattern = r"```json\s*([\s\S]*?)\s*```"
+            json_blocks = re.findall(json_pattern, response)
+
+            if json_blocks:
+                parsed = json.loads(json_blocks[0])
+                if isinstance(parsed, dict) and key in parsed:
+                    return parsed[key]
+
+            # Fallback: try to parse the entire response as JSON
+            parsed = json.loads(response)
+            if isinstance(parsed, dict) and key in parsed:
+                return parsed[key]
+
+        except json.JSONDecodeError:
+            logger.warning(f"Failed to parse JSON response for key '{key}', using raw response")
+            # If JSON parsing fails, return the response as-is for fallback
+            return response.strip()
+
+        return ""

reme/workflow/procedural_memory/retrieve/rewrite_memory.yaml

@@ -0,0 +1,34 @@
+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

reme/workflow/procedural_memory/retrieve/update_memory_metadata.py

@@ -0,0 +1,51 @@
+"""Operation for updating memory metadata (frequency and utility).
+
+This module provides a unified operation to update frequency counters and
+optionally utility scores for recalled memories, directly updating the
+vector store.
+"""
+
+from typing import List
+
+from loguru import logger
+
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+from ....core.schema.vector_node import VectorNode
+
+
+class UpdateMemoryMetadata(BaseOp):
+    """Update memory metadata: frequency and optionally utility.
+
+    This operation (1) increments each memory's frequency counter;
+    (2) optionally increments utility when update_utility is True;
+    (3) directly updates the VectorNode in the vector store using the update method.
+
+    Expected context attributes:
+        memory_list: List of MemoryNode objects to update (already loaded from
+            previous operations like rerank_memory).
+        update_utility: Boolean flag. If True, also increment utility for each memory.
+    """
+
+    async def execute(self):
+        """Run frequency update, optional utility update, and directly update vector store."""
+        memory_list: List[MemoryNode] = [MemoryNode(**node) for node in self.context.memory_list]
+        update_utility = self.context.update_utility
+
+        if not memory_list:
+            logger.info("No memories to update metadata")
+            return
+
+        updated_nodes: List[VectorNode] = []
+        for memory in memory_list:
+            meta = memory.metadata
+            meta["freq"] = meta.get("freq", 0) + 1
+            if update_utility:
+                meta["utility"] = meta.get("utility", 0) + 1
+            memory.metadata = meta
+            vector_node = memory.to_vector_node()
+            updated_nodes.append(vector_node)
+
+        if updated_nodes:
+            await self.vector_store.update(nodes=updated_nodes)
+            logger.info(f"Updated metadata for {len(updated_nodes)} memories in vector store")

reme/workflow/procedural_memory/summarizer/__init__.py

@@ -1,15 +0,0 @@
-"""Summarizer operators for procedural memory workflow.
-
-This package exposes and registers summarization-related operators such as
-`TrajectoryPreprocess` and `SuccessExtraction` to the global operator registry.
-"""
-
-from .success_extraction import SuccessExtraction
-from .trajectory_preprocess import TrajectoryPreprocess
-from ....core import R
-
-__all__ = ["TrajectoryPreprocess", "SuccessExtraction"]
-
-for name in __all__:
-    tool_class = globals()[name]
-    R.ops.register(tool_class)

reme/workflow/procedural_memory/summary/comparative_extraction.py

@@ -0,0 +1,274 @@
+"""Comparative extraction operation for task memory generation.
+
+This module provides operations to extract comparative task memories by comparing
+different trajectories with varying scores or success/failure outcomes.
+"""
+
+from typing import List, Tuple, Optional
+
+from loguru import logger
+
+from ....core.enumeration import MemoryType, Role
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+from ....core.schema.message import Message, Trajectory
+from ..utils import (
+    merge_messages_content,
+    parse_json_experience_response,
+)
+
+
+class ComparativeExtraction(BaseOp):
+    """Extract comparative task memories by comparing different scoring trajectories.
+
+    This operation performs two types of comparisons:
+    1. Soft comparison: Compares highest vs lowest scoring trajectories
+    2. Hard comparison: Compares similar success vs failure step sequences
+
+    The extracted memories help identify what makes some trajectories more successful
+    than others.
+    """
+
+    async def execute(self):
+        """Extract comparative task memories by comparing different scoring trajectories"""
+        all_trajectories: List[Trajectory] = self.context.get("all_trajectories", [])
+        success_trajectories: List[Trajectory] = self.context.get("success_trajectories", [])
+        failure_trajectories: List[Trajectory] = self.context.get("failure_trajectories", [])
+
+        comparative_task_memories = []
+
+        # Soft comparison: highest score vs lowest score
+        if self.context.get("enable_soft_comparison", True) and len(all_trajectories) >= 2:
+            highest_traj, lowest_traj = self._find_highest_lowest_scoring_trajectories(all_trajectories)
+            if highest_traj and lowest_traj and highest_traj.score > lowest_traj.score:
+                logger.info(
+                    f"Extracting soft comparative task memories: "
+                    f"highest ({highest_traj.score:.2f}) vs lowest ({lowest_traj.score:.2f})",
+                )
+                soft_task_memories = await self._extract_soft_comparative_task_memory(highest_traj, lowest_traj)
+                comparative_task_memories.extend(soft_task_memories)
+
+        # Hard comparison: success vs failure (if similarity search is enabled)
+        if self.context.get("enable_similarity_comparison", True) and success_trajectories and failure_trajectories:
+            similar_pairs = self._find_similar_step_sequences(success_trajectories, failure_trajectories)
+            logger.info(f"Found {len(similar_pairs)} similar pairs for hard comparison")
+
+            for success_steps, failure_steps, similarity_score in similar_pairs:
+                hard_task_memories = await self._extract_hard_comparative_task_memory(
+                    success_steps,
+                    failure_steps,
+                    similarity_score,
+                )
+                comparative_task_memories.extend(hard_task_memories)
+
+        logger.info(f"Extracted {len(comparative_task_memories)} comparative task memories")
+
+        # Add task memories to context
+        self.context.comparative_task_memories = comparative_task_memories
+
+    @staticmethod
+    def _find_highest_lowest_scoring_trajectories(trajectories: List[Trajectory]) -> Tuple[
+        Optional[Trajectory],
+        Optional[Trajectory],
+    ]:
+        """Find the highest and lowest scoring trajectories"""
+        if len(trajectories) < 2:
+            return None, None
+
+        # Filter trajectories with valid scores
+        valid_trajectories = [traj for traj in trajectories if traj.score is not None]
+
+        if len(valid_trajectories) < 2:
+            logger.warning("Not enough trajectories with valid scores for comparison")
+            return None, None
+
+        # Sort by score
+        sorted_trajectories = sorted(valid_trajectories, key=lambda x: x.score, reverse=True)
+
+        highest_traj = sorted_trajectories[0]
+        lowest_traj = sorted_trajectories[-1]
+
+        return highest_traj, lowest_traj
+
+    @staticmethod
+    def _get_trajectory_score(trajectory: Trajectory) -> Optional[float]:
+        """Get trajectory score"""
+        return trajectory.score
+
+    async def _extract_soft_comparative_task_memory(
+        self,
+        higher_traj: Trajectory,
+        lower_traj: Trajectory,
+    ) -> List[MemoryNode]:
+        """Extract soft comparative task memory (high score vs low score)"""
+        higher_steps = self._get_trajectory_steps(higher_traj)
+        lower_steps = self._get_trajectory_steps(lower_traj)
+        higher_score = self._get_trajectory_score(higher_traj)
+        lower_score = self._get_trajectory_score(lower_traj)
+
+        prompt = self.prompt_format(
+            prompt_name="soft_comparative_step_task_memory_prompt",
+            higher_steps=merge_messages_content(higher_steps),
+            lower_steps=merge_messages_content(lower_steps),
+            higher_score=f"{higher_score:.2f}",
+            lower_score=f"{lower_score:.2f}",
+        )
+
+        def parse_task_memories(message: Message) -> List[MemoryNode]:
+            task_memories_data = parse_json_experience_response(message.content)
+            task_memories = []
+
+            for tm_data in task_memories_data:
+                task_memory = MemoryNode(
+                    memory_type=MemoryType.PROCEDURAL,
+                    when_to_use=tm_data.get("when_to_use", tm_data.get("condition", "")),
+                    content=tm_data.get("experience", ""),
+                    author=getattr(self.llm, "model_name", "system"),
+                    metadata=tm_data,
+                )
+                task_memories.append(task_memory)
+
+            return task_memories
+
+        return await self.llm.chat(
+            messages=[Message(role=Role.USER, content=prompt)],
+            callback_fn=parse_task_memories,
+        )
+
+    async def _extract_hard_comparative_task_memory(
+        self,
+        success_steps: List[Message],
+        failure_steps: List[Message],
+        similarity_score: float,
+    ) -> List[MemoryNode]:
+        """Extract hard comparative task memory (success vs failure)"""
+        prompt = self.prompt_format(
+            prompt_name="hard_comparative_step_task_memory_prompt",
+            success_steps=merge_messages_content(success_steps),
+            failure_steps=merge_messages_content(failure_steps),
+            similarity_score=similarity_score,
+        )
+
+        def parse_task_memories(message: Message) -> List[MemoryNode]:
+            task_memories_data = parse_json_experience_response(message.content)
+            task_memories = []
+
+            for tm_data in task_memories_data:
+                task_memory = MemoryNode(
+                    memory_type=MemoryType.PROCEDURAL,
+                    when_to_use=tm_data.get("when_to_use", tm_data.get("condition", "")),
+                    content=tm_data.get("experience", ""),
+                    author=getattr(self.llm, "model_name", "system"),
+                    metadata=tm_data,
+                )
+                task_memories.append(task_memory)
+
+            return task_memories
+
+        return await self.llm.chat(
+            messages=[Message(role=Role.USER, content=prompt)],
+            callback_fn=parse_task_memories,
+        )
+
+    @staticmethod
+    def _get_trajectory_steps(trajectory: Trajectory) -> List[Message]:
+        """Get trajectory steps, prioritizing segmented steps"""
+        if hasattr(trajectory, "segments") and trajectory.segments:
+            # If there are segments, merge all segments
+            all_steps = []
+            for segment in trajectory.segments:
+                all_steps.extend(segment)
+            return all_steps
+        else:
+            return trajectory.messages
+
+    def _find_similar_step_sequences(
+        self,
+        success_trajectories: List[Trajectory],
+        failure_trajectories: List[Trajectory],
+    ) -> List[Tuple[List[Message], List[Message], float]]:
+        """Find similar step sequences for comparison"""
+        try:
+            similar_pairs = []
+
+            # Get step sequences
+            success_step_sequences = []
+            for traj in success_trajectories:
+                if hasattr(traj.metadata, "segments") and traj.metadata["segments"]:
+                    success_step_sequences.extend(traj.metadata["segments"])
+                else:
+                    success_step_sequences.append(traj.messages)
+
+            failure_step_sequences = []
+            for traj in failure_trajectories:
+                if hasattr(traj.metadata, "segments") and traj.metadata["segments"]:
+                    failure_step_sequences.extend(traj.metadata["segments"])
+                else:
+                    failure_step_sequences.append(traj.messages)
+
+            # Limit comparison count to avoid computational overload
+            max_sequences = self.context.get("max_similarity_sequences", 5)
+            success_step_sequences = success_step_sequences[:max_sequences]
+            failure_step_sequences = failure_step_sequences[:max_sequences]
+
+            if not success_step_sequences or not failure_step_sequences:
+                return []
+
+            # Generate text representation for embedding
+            success_texts = [merge_messages_content(seq) for seq in success_step_sequences]
+            failure_texts = [merge_messages_content(seq) for seq in failure_step_sequences]
+
+            # Get embedding vectors
+            if (
+                hasattr(self, "vector_store")
+                and self.vector_store
+                and hasattr(
+                    self.vector_store,
+                    "embedding_model",
+                )
+            ):
+                success_embeddings = self.vector_store.embedding_model.get_embeddings(success_texts)
+                failure_embeddings = self.vector_store.embedding_model.get_embeddings(failure_texts)
+
+                # Calculate similarity and find most similar pairs
+                similarity_threshold = self.context.get("similarity_threshold", 0.5)
+
+                for i, s_emb in enumerate(success_embeddings):
+                    for j, f_emb in enumerate(failure_embeddings):
+                        similarity = self._calculate_cosine_similarity(s_emb, f_emb)
+
+                        if similarity > similarity_threshold:
+                            similar_pairs.append(
+                                (
+                                    success_step_sequences[i],
+                                    failure_step_sequences[j],
+                                    similarity,
+                                ),
+                            )
+
+                # Return top most similar pairs
+                max_pairs = self.context.get("max_similarity_pairs", 3)
+                return sorted(similar_pairs, key=lambda x: x[2], reverse=True)[:max_pairs]
+
+        except Exception as e:
+            logger.error(f"Error finding similar step sequences: {e}")
+
+        return []
+
+    @staticmethod
+    def _calculate_cosine_similarity(embedding1: List[float], embedding2: List[float]) -> float:
+        """Calculate cosine similarity"""
+        import numpy as np
+
+        vec1 = np.array(embedding1)
+        vec2 = np.array(embedding2)
+
+        # Calculate cosine similarity
+        dot_product = np.dot(vec1, vec2)
+        norm1 = np.linalg.norm(vec1)
+        norm2 = np.linalg.norm(vec2)
+
+        if norm1 == 0 or norm2 == 0:
+            return 0.0
+
+        return dot_product / (norm1 * norm2)

reme/workflow/procedural_memory/summary/comparative_extraction.yaml

@@ -0,0 +1,79 @@
+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"
+    }}
+  ]
+  ```

reme/workflow/procedural_memory/summary/failure_extraction.py

@@ -0,0 +1,95 @@
+"""Failure extraction operation for task memory generation.
+
+This module provides operations to extract task memories from failed trajectories,
+identifying mistakes, pitfalls, and lessons learned from failures.
+"""
+
+from typing import List
+
+from loguru import logger
+
+from ....core.enumeration import MemoryType, Role
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+from ....core.schema.message import Message, Trajectory
+from ..utils import (
+    get_trajectory_context,
+    merge_messages_content,
+    parse_json_experience_response,
+)
+
+
+class FailureExtraction(BaseOp):
+    """Extract task memories from failed trajectories.
+
+    This operation analyzes failed trajectories (or their segments) to extract
+    lessons learned, common mistakes, and anti-patterns that should be avoided
+    in similar future tasks.
+    """
+
+    async def execute(self):
+        """Extract task memories from failed trajectories"""
+        failure_trajectories: List[Trajectory] = self.context.get("failure_trajectories", [])
+
+        if not failure_trajectories:
+            logger.info("No failure trajectories found for extraction")
+            return
+
+        logger.info(f"Extracting task memories from {len(failure_trajectories)} failed trajectories")
+
+        failure_task_memories = []
+
+        # Process trajectories
+        for trajectory in failure_trajectories:
+            if "segments" in trajectory.metadata:
+                # Process segmented step sequences
+                for segment in trajectory.metadata["segments"]:
+                    task_memories = await self._extract_failure_task_memory_from_steps(segment, trajectory)
+                    failure_task_memories.extend(task_memories)
+            else:
+                # Process entire trajectory
+                task_memories = await self._extract_failure_task_memory_from_steps(trajectory.messages, trajectory)
+                failure_task_memories.extend(task_memories)
+
+        logger.info(f"Extracted {len(failure_task_memories)} failure task memories")
+
+        # Add task memories to context
+        self.context.failure_task_memories = failure_task_memories
+
+    async def _extract_failure_task_memory_from_steps(
+        self,
+        steps: List[Message],
+        trajectory: Trajectory,
+    ) -> List[MemoryNode]:
+        """Extract task memory from failed step sequences"""
+        step_content = merge_messages_content(steps)
+        context = get_trajectory_context(trajectory, steps)
+
+        prompt = self.prompt_format(
+            prompt_name="failure_step_task_memory_prompt",
+            query=trajectory.metadata.get("query", ""),
+            step_sequence=step_content,
+            context=context,
+            outcome="failed",
+        )
+
+        def parse_task_memories(message: Message) -> List[MemoryNode]:
+            task_memories_data = parse_json_experience_response(message.content)
+            task_memories = []
+
+            for tm_data in task_memories_data:
+                task_memory = MemoryNode(
+                    memory_type=MemoryType.PROCEDURAL,
+                    when_to_use=tm_data.get("when_to_use", tm_data.get("condition", "")),
+                    content=tm_data.get("experience", ""),
+                    author=getattr(self.llm, "model_name", "system"),
+                    metadata=tm_data,
+                )
+                task_memories.append(task_memory)
+
+            return task_memories
+
+        return await self.llm.chat(
+            messages=[Message(role=Role.USER, content=prompt)],
+            callback_fn=parse_task_memories,
+        )

reme/workflow/procedural_memory/summary/failure_extraction.yaml

@@ -0,0 +1,42 @@
+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"]
+    }}
+  ]
+  ```

reme/workflow/procedural_memory/summary/memory_addition.py

@@ -0,0 +1,32 @@
+"""Operation for adding memories to the vector store."""
+
+from typing import List
+from loguru import logger
+from ....core.op import BaseOp
+from ....core.schema.vector_node import VectorNode
+from ....core.schema.memory_node import MemoryNode
+
+
+class MemoryAddition(BaseOp):
+    """Operation that adds new or updated memories to the vector store.
+
+    This operation inserts memories into the vector store. It reads the list
+    of memories to insert from response.metadata and performs the actual
+    database insertion operations.
+    """
+
+    async def execute(self):
+        """Execute the memory insertion operation.
+
+        Inserts new or updated memories into the vector store:
+        1. Reads memory_list from context (can be dicts or MemoryNode)
+        2. Converts raw items to MemoryNode objects
+        3. Converts MemoryNode objects to VectorNode objects
+        4. Inserts them into the vector store
+        """
+        raw_memory_list = self.context.memory_list
+        insert_memory_list: List[MemoryNode] = [MemoryNode(**x) if isinstance(x, dict) else x for x in raw_memory_list]
+        if insert_memory_list:
+            insert_nodes: List[VectorNode] = [x.to_vector_node() for x in insert_memory_list]
+            await self.vector_store.insert(nodes=insert_nodes)
+            logger.info(f"insert insert_node.size={len(insert_nodes)}")

reme/workflow/procedural_memory/summary/memory_deduplication.py

@@ -0,0 +1,183 @@
+"""Memory deduplication operation for task memory management.
+
+This module provides operations to remove duplicate or highly similar task
+memories by comparing embeddings and calculating similarity scores.
+"""
+
+from typing import List
+
+from loguru import logger
+
+from ....core.op import BaseOp
+from ....core.schema.memory_node import MemoryNode
+
+
+class MemoryDeduplication(BaseOp):
+    """Remove duplicate task memories using embedding similarity.
+
+    This operation identifies and removes duplicate or highly similar task
+    memories by comparing their embeddings against both existing memories
+    in the vector store and other memories in the current batch.
+    """
+
+    async def execute(self):
+        """Remove duplicate task memories"""
+        # Get task memories to deduplicate
+        task_memories: List[MemoryNode] = self.context.response.metadata.get("memory_list", [])
+
+        if not task_memories:
+            logger.info("No task memories found for deduplication")
+            return
+
+        logger.info(f"Starting deduplication for {len(task_memories)} task memories")
+
+        # Perform deduplication
+        deduplicated_task_memories = await self._deduplicate_task_memories(task_memories)
+
+        logger.info(
+            f"Deduplication complete: {len(deduplicated_task_memories)} deduplicated "
+            f"task memories out of {len(task_memories)}",
+        )
+
+        # Update context
+        self.context.response.metadata["memory_list"] = deduplicated_task_memories
+
+    async def _deduplicate_task_memories(self, task_memories: List[MemoryNode]) -> List[MemoryNode]:
+        """Remove duplicate task memories"""
+        if not task_memories:
+            return task_memories
+
+        similarity_threshold = self.context.get("similarity_threshold", 0.5)
+
+        unique_task_memories = []
+
+        # Get existing task memory embeddings
+        existing_embeddings = await self._get_existing_task_memory_embeddings()
+
+        for task_memory in task_memories:
+            # Generate embedding for current task memory
+            current_embedding = await self._get_task_memory_embedding(task_memory)
+
+            if current_embedding is None:
+                logger.warning(f"Failed to generate embedding for task memory: {str(task_memory.when_to_use)[:50]}...")
+                continue
+
+            # Check similarity with existing task memories
+            if self._is_similar_to_existing_task_memories(current_embedding, existing_embeddings, similarity_threshold):
+                logger.debug(f"Skipping similar task memory: {str(task_memory.when_to_use)[:50]}...")
+                continue
+
+            # Check similarity with current batch task memories
+            if await self._is_similar_to_current_task_memories(
+                current_embedding,
+                unique_task_memories,
+                similarity_threshold,
+            ):
+                logger.debug(f"Skipping duplicate in current batch: {str(task_memory.when_to_use)[:50]}...")
+                continue
+
+            # Add to unique task memories list
+            unique_task_memories.append(task_memory)
+            logger.debug(f"Added unique task memory: {str(task_memory.when_to_use)[:50]}...")
+
+        return unique_task_memories
+
+    async def _get_existing_task_memory_embeddings(self) -> List[List[float]]:
+        """Get embeddings of existing task memories"""
+        try:
+            if not hasattr(self, "vector_store") or not self.vector_store:
+                return []
+
+            # List all existing task memory nodes
+            existing_nodes = await self.vector_store.list(
+                filters=None,  # No filters to get all nodes
+                limit=self.context.get("max_existing_task_memories", 1000),
+            )
+
+            # Extract embeddings
+            existing_embeddings = []
+            for node in existing_nodes:
+                if node.vector:
+                    existing_embeddings.append(node.vector)
+
+            logger.debug(
+                f"Retrieved {len(existing_embeddings)} existing task memory embeddings",
+            )
+            return existing_embeddings
+
+        except Exception as e:
+            logger.warning(f"Failed to retrieve existing task memory embeddings: {e}")
+            return []
+
+    async def _get_task_memory_embedding(self, task_memory: MemoryNode) -> List[float] | None:
+        """Generate embedding for task memory"""
+        try:
+
+            # Combine task memory description and content for embedding
+            text_for_embedding = f"{task_memory.when_to_use} {task_memory.content}"
+            embeddings = await self.vector_store.get_embeddings([text_for_embedding])
+
+            if embeddings and len(embeddings) > 0:
+                return embeddings[0]
+            else:
+                logger.warning("Empty embedding generated for task memory")
+                return None
+
+        except Exception as e:
+            logger.error(f"Error generating embedding for task memory: {e}")
+            return None
+
+    def _is_similar_to_existing_task_memories(
+        self,
+        current_embedding: List[float],
+        existing_embeddings: List[List[float]],
+        threshold: float,
+    ) -> bool:
+        """Check if current embedding is similar to existing embeddings"""
+        for existing_embedding in existing_embeddings:
+            similarity = self._calculate_cosine_similarity(current_embedding, existing_embedding)
+            if similarity > threshold:
+                logger.debug(f"Found similar existing task memory with similarity: {similarity:.3f}")
+                return True
+        return False
+
+    async def _is_similar_to_current_task_memories(
+        self,
+        current_embedding: List[float],
+        current_task_memories: List[MemoryNode],
+        threshold: float,
+    ) -> bool:
+        """Check if current embedding is similar to other memories in current batch."""
+        for existing_task_memory in current_task_memories:
+            existing_embedding = await self._get_task_memory_embedding(existing_task_memory)
+            if existing_embedding is None:
+                continue
+
+            similarity = self._calculate_cosine_similarity(current_embedding, existing_embedding)
+            if similarity > threshold:
+                logger.debug(f"Found similar task memory in current batch with similarity: {similarity:.3f}")
+                return True
+        return False
+
+    @staticmethod
+    def _calculate_cosine_similarity(embedding1: List[float], embedding2: List[float]) -> float:
+        """Calculate cosine similarity"""
+        try:
+            import numpy as np
+
+            vec1 = np.array(embedding1)
+            vec2 = np.array(embedding2)
+
+            # Calculate cosine similarity
+            dot_product = np.dot(vec1, vec2)
+            norm1 = np.linalg.norm(vec1)
+            norm2 = np.linalg.norm(vec2)
+
+            if norm1 == 0 or norm2 == 0:
+                return 0.0
+
+            return dot_product / (norm1 * norm2)
+
+        except Exception as e:
+            logger.error(f"Error calculating cosine similarity: {e}")
+            return 0.0

reme/workflow/procedural_memory/summary/memory_validation.py

@@ -0,0 +1,139 @@
+"""Memory validation operation for task memory quality control.
+
+This module provides operations to validate the quality of extracted task
+memories using LLM-based evaluation, ensuring only high-quality memories
+are stored.
+"""
+
+import json
+import re
+from typing import List, Dict, Any
+
+from loguru import logger
+
+from ....core.enumeration import Role
+from ....core.op import BaseOp
+from ....core.schema.message import Message
+from ....core.schema.memory_node import MemoryNode
+
+
+class MemoryValidation(BaseOp):
+    """Validate quality of extracted task memories.
+
+    This operation uses LLM-based evaluation to assess the quality of extracted
+    task memories, filtering out low-quality or invalid memories based on
+    validation scores and criteria.
+    """
+
+    async def execute(self):
+        """Validate quality of extracted task memories"""
+
+        task_memories: List[MemoryNode] = []
+        task_memories.extend(self.context.get("success_task_memories", []))
+        task_memories.extend(self.context.get("failure_task_memories", []))
+        task_memories.extend(self.context.get("comparative_task_memories", []))
+
+        if not task_memories:
+            logger.info("No task memories found for validation")
+            return
+
+        logger.info(f"Validating {len(task_memories)} extracted task memories")
+
+        # Validate task memories
+        validated_task_memories = []
+
+        for task_memory in task_memories:
+            validation_result = await self._validate_single_task_memory(task_memory)
+            if validation_result and validation_result.get("is_valid", False):
+                task_memory.score = validation_result.get("score", 0.0)
+                validated_task_memories.append(task_memory)
+            else:
+                reason = validation_result.get("reason", "Unknown reason") if validation_result else "Validation failed"
+                logger.warning(f"Task memory validation failed: {reason}")
+
+        logger.info(f"Validated {len(validated_task_memories)} out of {len(task_memories)} task memories")
+
+        # Update context
+        self.context.response.answer = json.dumps([x.model_dump() for x in validated_task_memories])
+        self.context.response.metadata["memory_list"] = validated_task_memories
+
+    async def _validate_single_task_memory(self, task_memory: MemoryNode) -> Dict[str, Any]:
+        """Validate single task memory"""
+        validation_info = await self._llm_validate_task_memory(task_memory)
+        logger.info(f"Validating: {validation_info}")
+        return validation_info
+
+    async def _llm_validate_task_memory(self, task_memory: MemoryNode) -> Dict[str, Any]:
+        """Validate task memory using LLM"""
+        try:
+            prompt = self.prompt_format(
+                prompt_name="task_memory_validation_prompt",
+                condition=task_memory.when_to_use,
+                task_memory_content=task_memory.content,
+            )
+
+            def parse_validation(message: Message) -> Dict[str, Any]:
+                try:
+                    response_content = message.content
+
+                    # Parse validation result
+                    # Extract JSON blocks
+                    json_pattern = r"```json\s*([\s\S]*?)\s*```"
+                    json_blocks = re.findall(json_pattern, response_content)
+
+                    parsed: Dict[str, Any] = {}
+                    if json_blocks:
+                        raw_json = json_blocks[0]
+                        try:
+                            parsed = json.loads(raw_json)
+                        except json.JSONDecodeError as json_err:
+                            logger.warning(
+                                f"JSONDecodeError in task_memory_validation, fallback to regex parse: {json_err}",
+                            )
+                            is_valid_match = re.search(r'"is_valid"\s*:\s*(true|false)', raw_json, re.IGNORECASE)
+                            score_match = re.search(r'"score"\s*:\s*([0-9]+(?:\.[0-9]+)?)', raw_json)
+
+                            if is_valid_match:
+                                parsed["is_valid"] = is_valid_match.group(1).lower() == "true"
+                            if score_match:
+                                parsed["score"] = float(score_match.group(1))
+
+                    is_valid = parsed.get("is_valid", True)
+                    score = parsed.get("score", 0.5)
+
+                    # Set validation threshold
+                    validation_threshold = self.context.get("validation_threshold", 0.5)
+
+                    return {
+                        "is_valid": is_valid and score >= validation_threshold,
+                        "score": score,
+                        "feedback": response_content,
+                        "reason": (
+                            ""
+                            if (is_valid and score >= validation_threshold)
+                            else f"Low validation score ({score:.2f}) or marked as invalid"
+                        ),
+                    }
+
+                except Exception as e_inner:
+                    logger.exception(f"Error parsing validation response: {e_inner}")
+                    return {
+                        "is_valid": False,
+                        "score": 0.0,
+                        "feedback": "",
+                        "reason": f"Parse error: {str(e_inner)}",
+                    }
+
+            return await self.llm.chat(
+                messages=[Message(role=Role.USER, content=prompt)],
+                callback_fn=parse_validation,
+            )
+
+        except Exception as e:
+            logger.error(f"LLM validation failed: {e}")
+            return {
+                "is_valid": False,
+                "score": 0.0,
+                "feedback": "",
+                "reason": f"LLM validation error: {str(e)}",
+            }

reme/workflow/procedural_memory/summary/memory_validation.yaml

@@ -0,0 +1,29 @@
+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.

reme/workflow/procedural_memory/summary/success_extraction.py

@@ -12,7 +12,7 @@ from ....core.enumeration import MemoryType, Role
 from ....core.op import BaseOp
 from ....core.schema.memory_node import MemoryNode
 from ....core.schema.message import Message, Trajectory
-from ....core.utils.llm_utils import (
+from ..utils import (
     get_trajectory_context,
     merge_messages_content,
     parse_json_experience_response,

reme/workflow/procedural_memory/summary/trajectory_segmentation.py

@@ -0,0 +1,139 @@
+"""Trajectory segmentation operation for task memory generation.
+
+This module provides operations to segment trajectories into meaningful step
+sequences that can be used for more granular memory extraction.
+"""
+
+import json
+import re
+from typing import List
+
+from loguru import logger
+
+from ....core.enumeration import Role
+from ....core.op import BaseOp
+from ....core.schema.message import Message, Trajectory
+
+
+class TrajectorySegmentation(BaseOp):
+    """Segment trajectories into meaningful step sequences.
+
+    This operation uses LLM to identify natural breakpoints in trajectories,
+    allowing for more granular analysis and memory extraction from specific
+    segments rather than entire trajectories.
+    """
+
+    async def execute(self):
+        """Segment trajectories into meaningful steps"""
+        # Get trajectories from context
+        all_trajectories: List[Trajectory] = self.context.get("all_trajectories", [])
+        success_trajectories: List[Trajectory] = self.context.get("success_trajectories", [])
+        failure_trajectories: List[Trajectory] = self.context.get("failure_trajectories", [])
+
+        if not all_trajectories:
+            logger.warning("No trajectories found in context")
+            return
+
+        # Determine which trajectories to segment
+        target_trajectories = self._get_target_trajectories(
+            all_trajectories,
+            success_trajectories,
+            failure_trajectories,
+        )
+
+        # Add segmentation info to trajectories
+        segmented_count = 0
+        for trajectory in target_trajectories:
+            segments = await self._llm_segment_trajectory(trajectory)
+            trajectory.metadata["segments"] = segments
+            segmented_count += 1
+
+        logger.info(f"Segmented {segmented_count} trajectories")
+
+        # Update context with segmented trajectories
+
+    def _get_target_trajectories(
+        self,
+        all_trajectories: List[Trajectory],
+        success_trajectories: List[Trajectory],
+        failure_trajectories: List[Trajectory],
+    ) -> List[Trajectory]:
+        """Determine which trajectories to segment based on configuration"""
+        segment_target = self.context.get("segment_target", "all")
+
+        if segment_target == "success":
+            return success_trajectories
+        elif segment_target == "failure":
+            return failure_trajectories
+        else:
+            return all_trajectories
+
+    async def _llm_segment_trajectory(self, trajectory: Trajectory) -> List[List[Message]]:
+        """Use LLM for trajectory segmentation"""
+        trajectory_content = self._format_trajectory_content(trajectory)
+
+        prompt = self.prompt_format(
+            prompt_name="step_segmentation_prompt",
+            query=trajectory.metadata.get("query", ""),
+            trajectory_content=trajectory_content,
+            total_steps=len(trajectory.messages),
+        )
+
+        def parse_segmentation(message: Message) -> List[List[Message]]:
+            content = message.content
+            segment_points = self._parse_segmentation_response(content)
+
+            # Segment trajectory based on segmentation points
+            segments = []
+            start_idx = 0
+
+            for end_idx in segment_points:
+                if start_idx < end_idx <= len(trajectory.messages):
+                    segments.append(trajectory.messages[start_idx:end_idx])
+                    start_idx = end_idx
+
+            # Add remaining steps
+            if start_idx < len(trajectory.messages):
+                segments.append(trajectory.messages[start_idx:])
+
+            return segments if segments else [trajectory.messages]
+
+        return await self.llm.chat(
+            messages=[Message(role=Role.USER, content=prompt)],
+            callback_fn=parse_segmentation,
+            default_value=[trajectory.messages],
+        )
+
+    @staticmethod
+    def _format_trajectory_content(trajectory: Trajectory) -> str:
+        """Format trajectory content for LLM processing"""
+        content = ""
+        for i, step in enumerate(trajectory.messages):
+            content += f"Step {i + 1} ({step.role.value}):\n{step.content}\n\n"
+        return content
+
+    @staticmethod
+    def _parse_segmentation_response(response: str) -> List[int]:
+        """Parse segmentation response from LLM"""
+        segment_points = []
+
+        # Try to extract JSON format
+        json_pattern = r"```json\s*([\s\S]*?)\s*```"
+        json_blocks = re.findall(json_pattern, response)
+
+        if json_blocks:
+            try:
+                parsed = json.loads(json_blocks[0])
+                if isinstance(parsed, dict) and "segment_points" in parsed:
+                    segment_points = parsed["segment_points"]
+                elif isinstance(parsed, list):
+                    segment_points = parsed
+            except json.JSONDecodeError:
+                pass
+
+        # Fallback: extract numbers
+        if not segment_points:
+            numbers = re.findall(r"\b\d+\b", response)
+            segment_points = [int(num) for num in numbers if int(num) > 0]
+
+        return sorted(list(set(segment_points)))

reme/workflow/procedural_memory/summary/trajectory_segmentation.yaml

@@ -0,0 +1,31 @@
+step_segmentation_prompt: |
+  You are an expert AI analyst tasked with segmenting a trajectory into meaningful step sequences.
+
+  Your task is to identify natural breakpoints in the execution where one logical unit of work ends and another begins.
+  Consider factors like: task completion, context switches, tool changes, reasoning phases, and logical groupings.
+
+  SEGMENTATION CRITERIA:
+  ● LOGICAL COMPLETION: Steps that complete a specific sub-task or reasoning phase
+  ● CONTEXT SWITCHES: Points where the agent shifts focus or approach
+  ● TOOL BOUNDARIES: Natural breaks around tool usage patterns
+  ● REASONING PHASES: Distinct phases of analysis, planning, or execution
+
+  # Original Query
+  {query}
+
+  # Full Trajectory (Total steps: {total_steps})
+  {trajectory_content}
+
+  OUTPUT FORMAT:
+  Provide segmentation points as a JSON array of step indices where splits should occur:
+  ```json
+  {{
+    "segment_points": [3, 7, 12, 18],
+    "reasoning": "Brief explanation of segmentation logic"
+  }}
+  ```
+
+  Note: Segment points indicate the END of each segment. For example, [3, 7] means:
+  - Segment 1: steps 0-3
+  - Segment 2: steps 4-7
+  - Segment 3: steps 8-end

reme/workflow/procedural_memory/utils.py

@@ -0,0 +1,142 @@
+"""Utility functions for processing and formatting LLM-related message data."""
+
+import json
+import re
+from loguru import logger
+
+from ...core.enumeration import Role
+from ...core.schema.message import Message, Trajectory
+
+
+def merge_messages_content(messages: list[Message | dict]) -> str:
+    """Merge messages content into a formatted string representation.
+
+    This function processes a list of messages (either Message objects or dicts)
+    and formats them into a structured string. Different message roles are
+    formatted differently:
+    - ASSISTANT: Includes reasoning content, main content, and tool calls
+    - USER: Includes the user content
+    - TOOL: Includes tool call results
+
+    Each message is prefixed with a step number (starting from 0) to indicate
+    its position in the conversation sequence.
+
+    Args:
+        messages: List of Message objects or dictionaries to merge. If a dict
+            is provided, it will be converted to a Message object.
+
+    Returns:
+        Formatted string representation of all messages with step numbers.
+        Each message is separated by newlines and includes role information.
+
+    Example:
+        ```python
+        messages = [
+            Message(role=Role.USER, content="What's the weather?"),
+            Message(role=Role.ASSISTANT, content="Let me check",
+                    tool_calls=[ToolCall(name="get_weather", arguments={})])
+        ]
+        result = merge_messages_content(messages)
+        # Returns formatted string with step numbers and role information
+        ```
+    """
+    content_collector = []
+    for i, message in enumerate(messages):
+        if isinstance(message, dict):
+            message = Message(**message)
+
+        if message.role is Role.ASSISTANT:
+            line = (
+                f"### step.{i} role={message.role.value} content=\n{message.reasoning_content}\n\n{message.content}\n"
+            )
+            if message.tool_calls:
+                for tool_call in message.tool_calls:
+                    line += f" - tool call={tool_call.name}\n   params={tool_call.arguments}\n"
+            content_collector.append(line)
+
+        elif message.role is Role.USER:
+            line = f"### step.{i} role={message.role.value} content=\n{message.content}\n"
+            content_collector.append(line)
+
+        elif message.role is Role.TOOL:
+            line = f"### step.{i} role={message.role.value} tool call result=\n{message.content}\n"
+            content_collector.append(line)
+
+    return "\n".join(content_collector)
+
+
+def parse_json_experience_response(response: str) -> list[dict]:
+    """Parse JSON formatted experience response"""
+    try:
+        # Extract JSON blocks
+        json_pattern = r"```json\s*([\s\S]*?)\s*```"
+        json_blocks = re.findall(json_pattern, response)
+
+        if json_blocks:
+            parsed = json.loads(json_blocks[0])
+
+            # Handle array format
+            if isinstance(parsed, list):
+                experiences = []
+                for exp_data in parsed:
+                    if isinstance(exp_data, dict) and (
+                        ("when_to_use" in exp_data and "experience" in exp_data)
+                        or ("condition" in exp_data and "experience" in exp_data)
+                    ):
+                        experiences.append(exp_data)
+
+                return experiences
+
+            # Handle single object
+            elif isinstance(parsed, dict) and (
+                ("when_to_use" in parsed and "experience" in parsed)
+                or ("condition" in parsed and "experience" in parsed)
+            ):
+                return [parsed]
+
+        # Fallback: try to parse entire response
+        parsed = json.loads(response)
+        if isinstance(parsed, list):
+            return parsed
+        elif isinstance(parsed, dict):
+            return [parsed]
+
+    except json.JSONDecodeError as e:
+        logger.warning(f"Failed to parse JSON experience response: {e}")
+
+    return []
+
+
+def get_trajectory_context(trajectory: Trajectory, step_sequence: list[Message]) -> str:
+    """Get context of step sequence within trajectory"""
+    try:
+        # Find position of step sequence in trajectory
+        start_idx = 0
+        for i, step in enumerate(trajectory.messages):
+            if step == step_sequence[0]:
+                start_idx = i
+                break
+
+        # Extract before and after context
+        context_before = trajectory.messages[max(0, start_idx - 2) : start_idx]
+        context_after = trajectory.messages[start_idx + len(step_sequence) : start_idx + len(step_sequence) + 2]
+
+        context = f"Query: {trajectory.metadata.get('query', 'N/A')}\n"
+
+        if context_before:
+            context += (
+                "Previous steps:\n"
+                + "\n".join(
+                    [f"- {step.content[:100]}..." for step in context_before],
+                )
+                + "\n"
+            )
+
+        if context_after:
+            context += "Following steps:\n" + "\n".join([f"- {step.content[:100]}..." for step in context_after])
+
+        return context
+
+    except Exception as e:
+        logger.error(f"Error getting trajectory context: {e}")
+        return f"Query: {trajectory.metadata.get('query', 'N/A')}"