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- 统一设置项目根目录和脚本目录的路径常量- 简化 sys.path 的添加逻辑，提高代码可读性 - 将 custom_instructions 移动到 prompts.py 文件中，便于维护 - 延迟导入 memobase_client 和 MemOSAPI 等模块，减少启动时间 - 调整参数默认值，降低并发工作线程数量以优化性能- 移除未使用的 uuid 模块和 string_to_uuid 函数 - 格式化代码结构，提升代码整洁度和一致性
- 添加 memory process model 和 response model 的环境变量配置 - 优化客户端初始化逻辑，按需导入依赖模块 - 移除冗余的模块导入和未使用的代码 - 更新 memobase 和 memos 客户端初始化方式 - 调整 longmemeval 和 locomo 的客户端获取逻辑 - 清理 memobase_utils 中的测试代码和无用导入
…h_memory_detail 改为 memory_detail_list - 更新结果文件路径从 locomo 目录到 lme 目录 - 增加默认 top_k 值从20 到30 - 添加 longmemeval 数据集准备说明到 README - 更新 longmemeval_s 数据集的下载和保存指引
## Description <!-- Please include a summary of the changes below; Fill in the issue number that this PR addresses (if applicable); Fill in the related MemOS-Docs repository issue or PR link (if applicable); Mention the person who will review this PR (if you know who it is); Replace (summary), (issue), (docs-issue-or-pr-link), and (reviewer) with the appropriate information. 请在下方填写更改的摘要； 填写此 PR 解决的问题编号（如果适用）； 填写相关的 MemOS-Docs 仓库 issue 或 PR 链接（如果适用）； 提及将审查此 PR 的人（如果您知道是谁）； 替换 (summary)、(issue)、(docs-issue-or-pr-link) 和 (reviewer) 为适当的信息。 --> Summary: Added OpenTelemetry support (MemTensor#298, MemTensor#307). Introduced OpenTelemetry to enhance observability and monitoring for the system, helping to trace requests and measure system performance. Chatbot API and reranker filter, fixed Pydantic bug (MemTensor#294, MemTensor#303). Added a new chatbot API and incorporated a reranker filter to improve the response quality. Also, fixed issues related to Pydantic validation errors. Updated Nebula to version 5.1.1 (MemTensor#311). Updated to the latest version of Nebula (5.1.1), addressing any known bugs and ensuring better performance with the new features. Parallelized recall and searcher processes (MemTensor#337). Improved the performance of recall and search operations by parallelizing them, allowing for faster query handling. Added API client feature (MemTensor#334). Introduced a new API client to facilitate easier interactions with the system's API, likely for external integrations. Fix: Fixed bugs in retriever, and added new auth info for Neo4j DB (MemTensor#313). Addressed bugs in the retriever and improved authentication handling for the Neo4j database, ensuring more reliable connections and data retrieval. Docs Issue/PR: (docs-issue-or-pr-link) Reviewer: @(reviewer) ## Checklist: - [x] I have performed a self-review of my own code | 我已自行检查了自己的代码 - [x] I have commented my code in hard-to-understand areas | 我已在难以理解的地方对代码进行了注释 - [ ] I have added tests that prove my fix is effective or that my feature works | 我已添加测试以证明我的修复有效或功能正常 - [ ] I have created related documentation issue/PR in [MemOS-Docs](https://github.com/MemTensor/MemOS-Docs) (if applicable) | 我已在 [MemOS-Docs](https://github.com/MemTensor/MemOS-Docs) 中创建了相关的文档 issue/PR（如果适用） - [ ] I have linked the issue to this PR (if applicable) | 我已将 issue 链接到此 PR（如果适用） - [ ] I have mentioned the person who will review this PR | 我已提及将审查此 PR 的人
Co-authored-by: harvey_xiang <harvey_xiang22@163.com>
* docker start * docker start * update config * 代码检测 * test_start_api * test_start_api * test_start_api * fix docker start * update start_api * update start_api * update start_api * 代码检测 --------- Co-authored-by: yjy <yuanjinyun@defencedriver.com>
Co-authored-by: harvey_xiang <harvey_xiang22@163.com>
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Description
refine locomo/lme eval scripts, add memos-api, memobase, mirix evaluation
Checklist: