174 lines
11 KiB
JSON
174 lines
11 KiB
JSON
{
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"id": "conv_20251010_220154_402",
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"title": "搜索并提去一个网页，然后创建一个文件，想其中写入一些内容",
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"created_at": "2025-10-10T22:01:54.402070",
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"updated_at": "2025-10-10T22:02:33.985530",
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"messages": [
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{
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"role": "user",
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"content": "搜索并提去一个网页，然后创建一个文件，想其中写入一些内容",
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"timestamp": "2025-10-10T22:00:21.701491"
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},
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{
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"role": "assistant",
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"content": "我来帮您搜索网页并创建文件。让我先搜索一个相关的网页，然后创建文件并写入内容。",
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"timestamp": "2025-10-10T22:00:24.395446"
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},
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{
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"role": "assistant",
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"content": "",
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"timestamp": "2025-10-10T22:00:24.404225",
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"tool_calls": [
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{
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"id": "web_search:0",
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"index": 0,
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"type": "function",
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"function": {
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"name": "web_search",
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"arguments": "{\"query\": \"Python编程最佳实践 2025\", \"max_results\": 5}"
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}
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}
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]
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"summary\": \"🔍 搜索查询: Python编程最佳实践 2025\\n📅 搜索时间: 2025-10-10T22:00:30.235754\\n\\n📝 AI摘要:\\nIn 2025, Python focuses on AI, cloud-native, and asynchronous development. FastAPI is popular for web services, and Python remains widely used for web and data science. Developers increasingly use tools like uv for package management.\\n\\n---\\n\\n📊 搜索结果:\\n\\n1. 2025年Python后端开发指南：从基础到云原生实践原创 - CSDN博客\\n 🔗 https://blog.csdn.net/m0_74513557/article/details/146080486\\n 📄 2025年Python后端开发指南：从基础到云原生实践\\n\\n在2025年，Python后端开发已全面进入云原生与智能化时代。开发者不仅需要掌握传统后端技术栈，还需融合容器化、AI辅助编程等新兴技术。本文基于行业最新趋势与最佳实践，系统梳理Python后端开发的核心要点与进阶方向，涵盖开发环境、架构设计、性能优化等关键领域。\\n\\n一、开发环境与工具链\\n\\n1. 环境配置标准化\\n\\nPython版本：推荐Py...\\n\\n2. Python 潮流周刊#105：Dify突破10万星、2025全栈开发的最佳实践\\n 🔗 https://www.cnblogs.com/pythonista/p/18917077\\n 📄 博客园\\n 首页\\n 新随笔\\n 联系\\n 订阅)\\n 管理\\n\\n# Python 潮流周刊#105：Dify突破10万星、2025全栈开发的最佳实践\\n\\n本周刊由 Python猫 出品，精心筛选国内外的 400+ 信息源，为你挑选最值得分享的文章、教程、开源项目、软件工具、播客和视频、热门话题等内容。愿景：帮助所有读者精进 Python 技术，并增长职业和副业的收入。\\n\\n温馨提示： 在微信关注 Python猫...\\n\\n3. Python实战项目列表，2025年原创 - CSDN博客\\n 🔗 https://blog.csdn.net/ruzhila/article/details/145196927\\n 📄 8-30\\n\\n[列表复制,采用切片更好 #列表复制,如此操作后续对新增值的处理是不一样的,如果只是简单的把名字给了等号左边,#后续两列表再添加不同的值得到的结果还会是一样的mycheng=square[:]print(mycheng) AI生成项目python 运行 1 2 3 4 sorted对列表临时排序 #sorted对列表临时排序fornameinsorted(dict.keys()):pr...\\n\\n4. 精通Python 爬虫：2025 年最佳实践全教程 - Thunderbit\\n 🔗 https://thunderbit.com/zh-Hans/blog/python-scraping-best-practices-tutorial\\n 📄 ## 进阶项目实战：Python 网页爬虫能力提升\\n\\n想把这些最佳实践用起来？可以试试这些真实项目：\\n\\n### 1. 电商价格监控仪表盘\\n\\n抓取 Amazon、eBay、Walmart 的价格和库存，处理反爬虫和动态内容，每天导出到 Google Sheets 做趋势分析。用 快速上手。\\n\\n### 2. 招聘信息聚合器\\n\\n汇总 Indeed 及垂直招聘网站的职位，解析职位、公司、地点、发布时间，处...\\n\\n5. 2025 年Python 现状| The PyCharm Blog\\n 🔗 https://blog.jetbrains.com/zh-hans/pycharm/2025/09/the-state-of-python-2025/\\n 📄 Note: 2025 年 Python 现状 \\n基于 30,000 多名 Python 开发者的调查回复。 \\n \\n\\\\ 50% 的 Python 开发者拥有不到 2 年的专业经验 \\n\\\\ 51% 使用 Python 进行数据探索和处理 \\n\\\\ 46% 使用 Python 进行 Web 开发 \\n\\\\ FastAPI 的使用率在一年内从 29% 增长到 38% \\n\\\\ 83% 仍在运行旧版 Pyt...\"}",
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"timestamp": "2025-10-10T22:00:30.244689",
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"tool_call_id": "web_search:0",
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"name": "web_search"
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},
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{
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"role": "assistant",
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"content": "现在让我提取一个详细的网页内容，我选择第5个结果 - JetBrains的2025年Python现状报告，这是一个权威的来源：",
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"timestamp": "2025-10-10T22:00:32.917427"
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},
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{
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"role": "assistant",
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"content": "",
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"timestamp": "2025-10-10T22:00:32.924434",
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"tool_calls": [
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{
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"id": "extract_webpage:1",
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"index": 0,
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"type": "function",
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"function": {
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"name": "extract_webpage",
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"arguments": "{\"url\": \"https://blog.jetbrains.com/zh-hans/pycharm/2025/09/the-state-of-python-2025/\"}"
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}
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}
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]
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"url\": \"https://blog.jetbrains.com/zh-hans/pycharm/2025/09/the-state-of-python-2025/\", \"content\": \"由于当前对话记录已经被压缩，此处的网页提取的内容不可见，如需查看内容，请再次提取或查看保存的文件（如果当时进行了保存）\"}",
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"timestamp": "2025-10-10T22:00:34.897413",
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"tool_call_id": "extract_webpage:1",
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"name": "extract_webpage"
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},
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{
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"role": "assistant",
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"content": "很好！现在让我创建一个文件，并将这个网页的一些关键内容写入其中：",
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"timestamp": "2025-10-10T22:00:39.192776"
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},
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{
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"role": "assistant",
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"content": "",
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"timestamp": "2025-10-10T22:00:39.200223",
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"tool_calls": [
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{
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"id": "create_file:2",
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"index": 0,
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"type": "function",
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"function": {
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"name": "create_file",
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"arguments": "{\"path\": \"python_trends_2025_summary.md\", \"file_type\": \"md\", \"annotation\": \"2025年Python发展趋势总结文件\"}"
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}
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}
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]
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"path\": \"python_trends_2025_summary.md\", \"size\": 0, \"message\": \"已创建空文件: python_trends_2025_summary.md。请使用 append_to_file 追加正文内容，或使用 modify_file 进行小范围替换。\"}",
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"timestamp": "2025-10-10T22:00:41.019420",
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"tool_call_id": "create_file:2",
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"name": "create_file"
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},
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{
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"role": "assistant",
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"content": "",
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"timestamp": "2025-10-10T22:00:42.644280",
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"tool_calls": [
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{
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"id": "append_to_file:3",
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"index": 0,
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"type": "function",
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"function": {
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"name": "append_to_file",
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"arguments": "{\"path\": \"python_trends_2025_summary.md\"}"
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}
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}
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]
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"awaiting_content\": true, \"path\": \"python_trends_2025_summary.md\", \"message\": \"\\n请按照以下格式输出需要追加到文件的完整内容，禁止输出任何解释性文字：\\n<<<APPEND:python_trends_2025_summary.md>>>\\n(在此行之后紧接着写入要追加的全部内容，可包含多行代码)\\n<<<END_APPEND>>>\\n⚠️ 注意：<<<APPEND>>> 与 <<<END_APPEND>>> 必须成对出现，内容之间不能包含解释或额外标记。\\n\"}",
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"timestamp": "2025-10-10T22:00:44.457429",
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"tool_call_id": "append_to_file:3",
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"name": "append_to_file"
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},
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{
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"role": "assistant",
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"content": "由于当前对话记录已经被压缩，此处的输出的内容不可见，如需查看内容，请直接查看创建的文件",
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"timestamp": "2025-10-10T22:01:15.723977",
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"metadata": {
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"append_payload": {
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"path": "python_trends_2025_summary.md",
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"tool_call_id": "append_to_file:3",
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"forced": false,
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"has_end_marker": true,
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"lines": 106,
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"bytes": 3598,
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"success": true
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}
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}
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"path\": \"python_trends_2025_summary.md\", \"lines\": 106, \"bytes\": 3598, \"forced\": false, \"message\": \"已向 python_trends_2025_summary.md 追加 106 行（3598 字节）\", \"finish_reason\": null}",
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"timestamp": "2025-10-10T22:01:15.734675",
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"tool_call_id": "append_to_file:3",
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"name": "append_to_file"
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},
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{
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"role": "assistant",
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"content": "完成！我已经成功：\n\n1. **搜索了网页**：找到了JetBrains PyCharm博客发布的《2025年Python现状》报告\n2. **提取了网页内容**：获取了这份权威的Python发展趋势报告\n3. **创建了文件**：创建了`python_trends_2025_summary.md`文件\n4. **写入了内容**：将报告的关键信息整理成结构化的总结文档\n\n## 文件内容亮点：\n\n**关键统计数据：**\n- 50%的Python开发者经验不足2年\n- 51%使用Python进行数据处理\n- 83%仍在使用旧版Python\n\n**重要趋势：**\n- FastAPI使用率增长30%，成为最受欢迎的Web框架\n- AI编码工具快速普及，69%开发者计划尝试\n- PostgreSQL成为首选数据库\n- Rust在Python生态系统中地位上升\n\n**实用建议：**\n- 升级到Python 3.13可获得11%性能提升\n- 学习uv包管理工具和异步编程\n- 关注即将推出的自由线程Python\n\n这个总结文档为Python开发者提供了2025年的技术发展方向和实用建议，基于权威的调查数据，具有很强的参考价值。",
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"timestamp": "2025-10-10T22:01:25.558357"
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},
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{
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"role": "system",
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"content": "系统提示：对话已压缩，之前的对话记录中的以下内容被替换为占位文本：文件追加输出、网页提取内容。其他内容不受影响，如需查看原文，请查看对应文件或重新执行相关工具。",
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"timestamp": "2025-10-10T22:01:54.401892",
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"metadata": {
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"compression": {
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"source_conversation_id": "conv_20251010_220000_081",
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"types": [
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"append_to_file",
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"extract_webpage"
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]
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}
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}
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}
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],
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"metadata": {
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"project_path": "/Users/jojo/Desktop/agents/正在修复中/agent_kimi_源码备份_标记有bug版本/project",
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"thinking_mode": true,
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"total_messages": 16,
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"total_tools": 9,
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"status": "active"
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},
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"token_statistics": {
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"total_input_tokens": 0,
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"total_output_tokens": 0,
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"updated_at": "2025-10-10T22:02:33.985576"
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}
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} |