mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-08-28 05:25:04 +00:00
72eabfa858
Some checks failed
Pre-commit / run (ubuntu-latest) (push) Has been cancelled
* feat(reme): 添加配置选项以启用或禁用个人资料功能 - 在 ReMe 初始化方法中添加 enable_profile 参数，默认值为 True - 根据 enable_profile 设置决定是否创建 profile 目录和设置 profile_dir - 在 PersonalSummarizer 中根据 enable_profile 条件性地添加个人资料相关工具 - 在 PersonalRetriever 中根据 enable_profile 条件性地添加 ReadAllProfiles 工具 - 修改 profile_path 属性以在禁用个人资料时返回 None - 修改 get_profile_handler 方法以在禁用个人资料时返回 None - 为 enable_profile 参数添加文档说明其用于云向量存储场景 * refactor(benchmark): 重构LongMemEval基准测试中的ReMe实例管理 - 移除未使用的shutil导入 - 将固定的ReMe实例改为每个问题创建独立实例以实现隔离 - 更新LLM配置名称从qwen3-max-think到qwen-max-t - 修改模型调用逻辑使用正确的model_name参数 - 添加qwen-flash和GPT-4o-mini等新模型配置 - 统一使用"User"作为用户名，通过集合名实现隔离 - 调整并发处理数从4降至1，批处理大小从10增至30 - 每个问题类型采样数从2增至4 - 添加异步上下文管理确保资源正确释放 * reformat 2 files * refactor(benchmark): 重构长记忆评估中的模型配置 - 将原有的 eval_model_name 替换为专门的 retrieve_model_name 用于检索操作 - 添加对 qwen-max 模型配置的支持 - 更新参数解析器以支持新的检索模型参数 - 修改最大并发数默认值从 1 提升到 4 - 调整样本数量默认值从 4 减少到 1 - 统一模型参数命名规范，区分摘要、检索和评估模型 - 优化内存处理器初始化逻辑，支持独立的检索模型配置 * fix(benchmark): 移除数据路径默认值并设为必填参数 - 将LongMemEval评估脚本中的data_path参数改为必需参数 - 将HaluMem评估脚本中的data_path参数改为必需参数 - 删除了硬编码的默认文件路径配置 - 强制用户显式指定数据集文件路径以避免路径错误 * Update __init__.py * Update __init__.py * fix(benchmark): 修复ReMe评估中的模型配置和空值处理问题 - 移除了retrieve_memory调用中不需要的llm_config_name参数 - 修复了长字符串打印的换行格式问题 - 添加了eval_result为空时的初始化处理 - 在accuracy评估中加入了eval_model_name参数传递 * style(benchmark): 格式化模型名称打印输出 - 移除了多行字符串中的换行符和多余空格 - 将模型名称信息合并为单行连续显示 - 保持了原有的打印格式和信息完整性 * docs(readme): 更新文档添加实验结果表格 - 在英文版 README 中添加 🧪 Experiments 章节 - 添加 LoCoMo 和 HaluMem 两个基准测试的结果表格 - 在中文版 README_ZH 中添加 🧪 实验 章节 - 添加 LoCoMo 和 HaluMem 测试集的实验配置说明 - 添加完整的实验数据对比表格和评估协议说明 * docs(readme): 更新文档中的内存系统链接 - 为基于文件的记忆系统添加锚点链接 - 为基于向量库的记忆系统添加锚点链接 - 修复英文文档中的链接格式 - 修复中文文档中的链接格式和空行问题 * docs(readme): update experimental results section in documentation - Remove outdated experimental data placeholder "Coming soon..." - Add complete evaluation results for LoCoMo and HaluMem benchmarks - Include detailed performance metrics tables for all memory methods - Update experimental settings description with ReMe backbone details - Align evaluation protocol information with LLM-as-a-Judge approach - Maintain consistent formatting between English and Chinese documentation * docs(benchmark): add quick start guides for halumem and longmemeval experiments - Created HaluMem experiment quick start guide with ReMe integration setup - Added detailed steps for installing ReMe environment using conda - Included repository cloning instructions for HaluMem benchmark - Provided complete command examples for running HaluMem experiments - Created LongMeMEval quick start guide with data download procedures - Added wget commands for downloading cleaned dataset files - Included evaluation script instructions for computing experiment statistics - Documented parameter configurations for different model types and batch sizes * docs(longmemeval): update quickstart guide documentation - Changed project name from Halumem to Longmemeval in title - Updated description to reference Longmemeval experiments instead of Halumem - Maintained existing ReMe integration instructions unchanged * chore(logger): add test comment to logger configuration - Added test comment in logger utility function - Removed duplicate log handling by keeping the remove() call * chore(logger): add test comment to logger configuration - Added test comment in logger utility function - Removed duplicate log handling by keeping the remove() call * feat(core): add file logging capability to application - Added log_to_file parameter to Application class constructor - Integrated log_to_file option in logger initialization - Updated ServiceContext to support file logging configuration - Modified init_logger function to conditionally enable file logging - Added log_to_file field to ServiceConfig schema - Updated ReMe class to include file logging option - Wrapped file logging setup in conditional check to prevent unnecessary operations * docs(benchmark): update HaluMem quickstart guide with dataset download instructions - Replace repository cloning with direct dataset download using curl - Add commands to download HaluMem-Medium.jsonl and HaluMem-Long.jsonl files - Include both official Hugging Face and mirror download sources - Update data path reference from nested directory to local data folder - Add dataset page link and mirror usage instructions for mainland China access * feat(memory): add profile retrieval tool and refactor profile management - Introduce RetrieveProfile tool for fetching specific user profiles - Refactor ProfileHandler to support both filesystem and vector backends - Add async methods to ProfileHandler with synchronous fallbacks - Update PersonalRetriever to support two-stage profile and memory retrieval - Enhance PersonalSummarizer with improved tool partitioning logic - Add profile_backend, profile_store_name, and profile_max_capacity configuration options - Replace direct ProfileHandler imports with get_profile_handler method - Implement profile search functionality with dedicated prompts and workflows - Add FileProfileBackend and VectorProfileBackend implementations - Update base memory tool with new profile configuration parameters * feat(profile): add custom profile collection name support - Add profile_collection_name parameter to Application constructor - Allow custom database collection name for vector profiles instead of default suffix - Update profile vector store configuration logic to use custom collection name - Modify _ensure_profile_vector_store_config to handle custom collection names - Update docstring with detailed parameter descriptions for profile configuration options * test(history): add single history id acceptance test for multiple mode - Add test case to verify multiple-mode history lookup accepts a single history_id string - Create FakeVectorStore stub with minimal implementation for ReadHistory tests - Return requested history node from vector store mock - Initialize ReadHistory tool with multiple mode enabled - Add pylint disable comment for protected access to vector store property * refactor(memory): update profile handler and vector tools with improved formatting and error handling - Add module docstring to profiles/__init__.py - Add pylint disable comments for no-name-in-module and missing-function-docstring - Format long error message in ProfileHandler.sync_run method for better readability - Reformat parameters in ProfileHandler.aadd method to separate lines - Update model_copy call in reme.py to span multiple lines for better readability - Format aadd_batch call in update_profile.py to span multiple lines * feat(profiles): add profile management system with file and vector storage backends - Add FileProfileBackend for filesystem-based profile persistence - Add VectorProfileBackend for vector store-based profile management - Create abstract BaseProfileBackend interface for profile operations - Implement ProfileVectorHandler for vector-backed profile storage - Add RetrieveProfile tool for semantic profile retrieval - Update eval_reme.py to use user_message_s2 for retriever prompt - Modify eval_reme.yaml to use {profiles} instead of {user_profile} - Implement complete CRUD operations for profile management - Add batch operations for efficient profile handling - Include search functionality with semantic matching capabilities - Add capacity limits and automatic cleanup for profile storage * docs(profiles): add comprehensive docstrings for profile backend and handler methods - Added documentation for get_all_sync, get_by_sync, delete_sync, delete_all_sync methods - Documented add_sync and add_batch_sync functionality with deduping behavior - Added docstrings for update_sync and search_sync operations - Updated ProfileHandler.format_node method with proper documentation - Refactored private _format_node to public format_node method - Added comprehensive documentation for profile vector handler operations - Documented _vector_profile_matches, _get_by_profile_id, _get_by_profile_key helper methods - Added docstrings for retrieve_profile functionality and formatting methods |
||
|---|---|---|
| .. | ||
| appworld | ||
| bfcl | ||
| halumem | ||
| locomo | ||
| longmemeval | ||