aiagent/backend/data/snapshots/1379c0de-6569-466c-a79f-6364019b2f33.json

{"session_id": "1379c0de-6569-466c-a79f-6364019b2f33", "saved_at": 1781286580.9931254, "message_count": 24, "messages": [{"role": "system", "content": "你是一个有用的AI助手。请使用可用工具来帮助用户完成任务。\n\n## 历史经验参考（基于过往执行记录）\n- [文件操作] 对于此类任务，历史经验推荐工具序列: file_read → system_info (成功9/9次, 评分0.92)\n\n## 记忆类型\n\n你可以将信息保存为以下 4 种类型的记忆文件（`.md` 格式，带 YAML frontmatter）：\n\n<type>\n  <name>user</name>\n  <description>用户角色、目标、职责和知识。好的 user 记忆帮助你为特定用户定制行为。</description>\n  <example>用户是资深 Go 开发者，刚接触此项目的 React 前端</example>\n</type>\n\n<type>\n  <name>feedback</name>\n  <description>用户给出的行为指导 —— 什么该做、什么不该做。</description>\n  <body_structure>\n    以规则本身开头，然后是 **Why:** 行（原因）和 **How to apply:** 行（适用范围）。\n  </body_structure>\n  <example>集成测试必须使用真实数据库，不要 mock。Why: 上次 mock 通过但生产迁移失败。How to apply: 所有涉及 ORM 的测试。</example>\n</type>\n\n<type>\n  <name>project</name>\n  <description>项目上下文 —— 谁在做什么、为什么、截止时间。项目记忆衰减快，需要保持更新。</description>\n  <body_structure>\n    以事实或决策开头，然后是 **Why:** 行（约束、截止日期、需求方）和 **How to apply:** 行（如何影响建议）。\n  </body_structure>\n  <example>周四后冻结所有非关键合并 (2026-03-05)。Why: 移动端发布分支切出。How to apply: 标记该日期后的 PR 工作。</example>\n</type>\n\n<type>\n  <name>reference</name>\n  <description>外部系统信息指针 —— Bug 追踪、文档、监控面板的位置。</description>\n  <example>流水线 Bug 追踪在 Linear 项目 \"INGEST\" 中</example>\n</type>\n\n## 什么不应该保存为记忆\n- 代码模式、约定、架构 —— 可通过阅读项目代码得出\n- Git 历史、最近变更 —— `git log` / `git blame` 是权威来源\n- 调试方案、修复思路 —— 修复已在代码中，commit message 有上下文\n- CLAUDE.md 已记录的内容\n- 临时任务细节：进行中的工作、当前对话状态\n\n**这些排除规则即使在用户明确要求保存时也适用。** 如果用户要求保存以上内容，先询问其中什么是*意外的*或*非显而易见的*部分。\n\n## 何时访问记忆\n- 当记忆与当前任务可能相关时\n- 用户提及之前的对话或工作\n- 用户明确要求检查、回忆或记住时\n\n## 信任但验证\n- 命名特定函数/文件/标志的记忆是该信息*写入时*存在的主张\n- 在据此推荐之前：检查文件是否存在、grep 函数是否存在\n- 当前代码 > 过时记忆\n\n## 如何保存记忆\n\n保存记忆是两步操作：\n\n**第 1 步** — 将记忆写入独立文件，使用以下 frontmatter 格式：\n\n```markdown\n---\nname: {{简短标题}}\ndescription: {{一行描述 — 用于未来判断相关性，尽量具体}}\ntype: {{user / feedback / project / reference}}\n---\n\n{{记忆内容}}\n```\n\n文件命名使用语义化英文 slug（如 `user_golang_expert.md`）。\n\n**第 2 步** — 在 MEMORY.md 中添加索引行。MEMORY.md 是索引，每条一行约 150 字符以内：\n`- [标题](文件名.md) — 一行摘要`\n\n- MEMORY.md 超过 200 行后会被截断，请保持索引简洁\n- 按主题组织，不按时间\n- 更新或删除错误的记忆\n- 写入前先检查是否已有类似记忆可以更新\n\n## 记忆加载\n\n会话启动时会自动加载 MEMORY.md 索引和相关记忆文件。你可以使用文件读取工具查看具体的记忆文件内容。\n\n如果用户说 *忽略* 或 *不使用记忆*：当作 MEMORY.md 不存在。不要提及或引用记忆内容。\n\n记忆会随时间的推移而变陈旧。如果一个记忆与当前观察（代码、文件系统）冲突，以当前观察为准，并更新过时的记忆。\n\n记忆目录: `D:\\aaa\\aiagent\\backend\\.claude\\memory`\n（目录已存在，请直接使用）"}, {"role": "user", "content": "请读取 compaction.py 前3行，再搜索 compaction_config.py 中的 enabled 字段，再读取 token_counter.py 前2行"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_vHvbiUfHxIvRtLp3hhNB3365", "type": "function", "function": {"name": "system_info", "arguments": "{}"}}, {"id": "call_01_io5WOE6s1bBPTie2RebX1949", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"compaction.py\"}"}}, {"id": "call_02_O7dRbiiQe1UH9czZl9156837", "type": "function", "function": {"name": "grep_search", "arguments": "{\"pattern\": \"enabled\", \"file_pattern\": \"compaction_config.py\"}"}}, {"id": "call_03_VoatY9Dz0mLiRt9ps2qN9863", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"token_counter.py\"}"}}], "reasoning_content": "用户让我做三件事：\n1. 读取 compaction.py 前3行\n2. 搜索 compaction_config.py 中的 enabled 字段\n3. 读取 token_counter.py 前2行\n\n这些文件应该在项目目录下。先看看项目结构，然后并行执行这些操作。\n\n我先用 system_info 获取工作区路径，同时尝试读取和搜索。"}, {"role": "tool", "tool_call_id": "call_00_vHvbiUfHxIvRtLp3hhNB3365", "content": "{\"platform\": \"Windows\", \"platform_version\": \"10.0.26200\", \"architecture\": \"AMD64\", \"processor\": \"Intel64 Family 6 Model 154 Stepping 3, GenuineIntel\", \"python_version\": \"3.12.7 (tags/v3.12.7:0b05ead, Oct  1 2024, 03:06:41) [MSC v.1941 64 bit (AMD64)]\", \"python_version_info\": {\"major\": 3, \"minor\": 12, \"micro\": 7}, \"local_file_workspace_root\": \"D:\\\\aaa\\\\aiagent\"}", "name": "system_info"}, {"role": "tool", "tool_call_id": "call_01_io5WOE6s1bBPTie2RebX1949", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\compaction.py\"}", "name": "file_read"}, {"role": "tool", "tool_call_id": "call_02_O7dRbiiQe1UH9czZl9156837", "content": "{\"error\": \"代码执行失败: __import__ not found\", \"traceback\": \"Traceback (most recent call last):\\n  File \\\"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\tool_registry.py\\\", line 302, in _execute_code_tool\\n    result = run_func(args)\\n             ^^^^^^^^^^^^^^\\n  File \\\"<string>\\\", line 2, in run\\nImportError: __import__ not found\\n\"}", "name": "grep_search"}, {"role": "tool", "tool_call_id": "call_03_VoatY9Dz0mLiRt9ps2qN9863", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\token_counter.py\"}", "name": "file_read"}, {"role": "assistant", "content": "文件在根目录没找到，让我在项目子目录中搜索。", "tool_calls": [{"id": "call_00_0dgEL7GE9PjCoDLB2qeC9173", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\", \"max_depth\": 2}"}}, {"id": "call_01_5WcTduhJogt7GxUlMAwC9831", "type": "function", "function": {"name": "grep_search", "arguments": "{\"pattern\": \"enabled\", \"file_pattern\": \"*compaction_config*\", \"max_results\": 20}"}}], "reasoning_content": "文件在工作区根目录 D:\\aaa\\aiagent 下找不到。让我看看项目结构，这些文件可能在 backend 或其他子目录中。"}, {"role": "tool", "tool_call_id": "call_00_0dgEL7GE9PjCoDLB2qeC9173", "content": "{\"error\": \"代码执行失败: __import__ not found\", \"traceback\": \"Traceback (most recent call last):\\n  File \\\"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\tool_registry.py\\\", line 302, in _execute_code_tool\\n    result = run_func(args)\\n             ^^^^^^^^^^^^^^\\n  File \\\"<string>\\\", line 2, in run\\nImportError: __import__ not found\\n\"}", "name": "list_files"}, {"role": "tool", "tool_call_id": "call_01_5WcTduhJogt7GxUlMAwC9831", "content": "{\"error\": \"代码执行失败: __import__ not found\", \"traceback\": \"Traceback (most recent call last):\\n  File \\\"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\tool_registry.py\\\", line 302, in _execute_code_tool\\n    result = run_func(args)\\n             ^^^^^^^^^^^^^^\\n  File \\\"<string>\\\", line 2, in run\\nImportError: __import__ not found\\n\"}", "name": "grep_search"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_9P5QXOynkaWpvrDLMaAj2213", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"backend/compaction.py\"}"}}, {"id": "call_01_1IKagflQSPiVjI4vvtk26268", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"backend/token_counter.py\"}"}}, {"id": "call_02_XH7IA0qXKo8vzfD9cX5l6569", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"backend/compaction_config.py\"}"}}], "reasoning_content": "看起来 list_files 和 grep_search 都报错了。让我手动尝试用不同的路径来查找这些文件。工作区根目录是 D:\\aaa\\aiagent，这些 Python 文件可能在 backend 子目录下。"}, {"role": "tool", "tool_call_id": "call_00_9P5QXOynkaWpvrDLMaAj2213", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\backend\\\\compaction.py\"}", "name": "file_read"}, {"role": "tool", "tool_call_id": "call_01_1IKagflQSPiVjI4vvtk26268", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\backend\\\\token_counter.py\"}", "name": "file_read"}, {"role": "tool", "tool_call_id": "call_02_XH7IA0qXKo8vzfD9cX5l6569", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\backend\\\\compaction_config.py\"}", "name": "file_read"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_15PWL8DMAWit3tFYfTpF8162", "type": "function", "function": {"name": "grep_search", "arguments": "{\"pattern\": \"compaction\", \"file_pattern\": \"*.py\", \"max_results\": 10}"}}], "reasoning_content": "这些文件不在 backend 根目录。让我搜索一下整个项目看看这些文件在哪里。"}, {"role": "tool", "tool_call_id": "call_00_15PWL8DMAWit3tFYfTpF8162", "content": "{\"error\": \"代码执行失败: __import__ not found\", \"traceback\": \"Traceback (most recent call last):\\n  File \\\"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\tool_registry.py\\\", line 302, in _execute_code_tool\\n    result = run_func(args)\\n             ^^^^^^^^^^^^^^\\n  File \\\"<string>\\\", line 2, in run\\nImportError: __import__ not found\\n\"}", "name": "grep_search"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_Jt68NH92IWjLVI0qx9wJ2272", "type": "function", "function": {"name": "git_operation", "arguments": "{\"operation\": \"log\", \"revision\": \"HEAD\"}"}}], "reasoning_content": "grep_search seems to be broken due to a tool implementation issue. Let me try using the `git_operation` to see what files are in the repo, or try different approaches."}, {"role": "tool", "tool_call_id": "call_00_Jt68NH92IWjLVI0qx9wJ2272", "content": "{\"stdout\": \"ab15899 fix: 修复35个安全与功能缺陷，补全知识进化/数字孪生/行为采集模块\\nf79dc0b fix: 无start节点时第一个节点收不到初始input_data导致执行失败\\na75c509 docs: add digital employee factory demo script\\n8867714 fix: wrap DigitalEmployeeFactory and GoalDetail with MainLayout\\n9454dee feat: complete remaining plan items — all 4 phases fully implemented\\ndca6020 feat: add Digital Employee Factory frontend, Goal scheduling, and Phase 4 UI\\nd0b55f2 feat: expose graph orchestration mode, fix pipeline multi-agent, add Feishu tools (Phase 3)\\n926ec6c feat: add Main Agent core service, tools, and Celery tasks (Phase 2)\\n02d7cf8 feat: add Goal/Task data models, service layer, and API routes (Phase 1)\\n10ee7ee refactor: rename platform from 低代码智能体平台 to 天工智能体平台\\n355cb66 fix: add 🤔 emoji to \\\"thinking\\\" reply in 灵犀/人参果/人参果1号/甜甜 handlers\\nc5659c4 feat: multi-backend web_search with Bing API + DuckDuckGo fallback\\nbc06bc1 fix: trim_messages prevents orphaned tool messages after history truncation\\n0220be2 fix: workflow engine reads node config from both \\\"data\\\" and \\\"config\\\" keys\\nf30997c fix: schedule_delete 外键约束导致无法删除定时任务\\nded3ba2 feat: Agent技能市场 — 公开/发布/分类/精选/评分\\n66d52ad feat: 人参果/人参果1号 飞书图片解析支持\\n5b5eb84 fix: #33 内置多模态工具现在在工具市场 /api/v1/tools 中可见\\n9054f42 feat: Agent间知识共享 — 全局知识池（去重+置信度+过期）\\n1f7c136 feat: #33 多模态Agent — 图片识别/视觉理解/语音转文字/文字转语音\\n3c102ed feat: #27 插件系统 — 第三方节点扩展\\n1b5f9de feat: #36 主控台/应用商店 — 模板一键执行与模板市场一键安装\\nfa13ffe fix: 修复人参果agent主动消息循环+创建人参果1号\\neabf90c feat: add AI学习助手 agent (KG+RAG ideal) and renshenguo feishu bot\\nf33bc46 fix: resolve Feishu cross-app notification routing bug\\n3dd0984 fix: compute_next_run naive datetime treated as local time instead of UTC\\n0606137 fix: schedule timezone bug + missing notifications + celery beat startup\\n592bca4 feat: Phase 4 - LLM/Agent fallback chain, cross-agent knowledge sharing, async agent execution\\n7e00b02 feat: Phase 3 - parallel execution, progress reporting, result caching + AgentChat bug fixes\\nf3cb35c feat: Phase 2 - Orchestrator workflow node + tool-level human approval\\nd895922 fix: inject agent_id into system prompt for all WS handlers + enhance schedule_delete\\nb8b0125 feat: Phase 1 - output quality verification + node-level auto-retry\\n244ed31 feat: add 10 new tools + agent self-evolution system (31 tools total)\\nde415ca feat: add Prompt template library, agent_call inter-agent tool, and RAG memory\\n1c83b62 feat: add 灵犀 Feishu bot + fix agent schedule system + default all tools\\nd3a00eb feat: add 甜甜 Feishu bot for 苏瑶3号 knowledge-graph agent\\na924486 feat: add Suyao Feishu bot and per-agent memory config support\\n68fbada feat: add 8 builtin tools, AgentSchedules management page, Celery Beat integration\\nb608267 feat: add auto-start scripts and project overview document\\n7ee80c7 feat: 集成飞书通知和机器人对话系统\\n0bbf68d feat: 实现 Agent 定时任务系统 — 按 cron 表达式周期执行 Agent\\ne3802ef feat: 实现 Agent 自主学习 — 从历史执行中优化工具选择\\nc28cf40 feat: 添加更多场景专用 Agent 种子脚本\\n5a52dac feat: 添加 5 个场景专用 Agent 种子脚本\\n5423aca feat: 新增 Pipeline 流水线编排模式 (Planner→Executor→Reviewer)\\n7aba0f9 fix: 修复 Agent 流式对话无响应和工具 schema 兼容性问题\\n342f3fc chore: 添加工具市场种子脚本\\n4c1b5b2 fix: 工具市场 categories 路由被 /{tool_id} 拦截\\n30dad00 fix: 工具市场页面缺少 MainLayout 导入，导航栏不显示\\n9400cf9 refactor: 优化工具市场 UI — 卡片视图、统计概览、分步表单\\n\", \"stderr\": \"\", \"returncode\": 0}", "name": "git_operation"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_a3fvcSaC9eJAhmnCDrhm0908", "type": "function", "function": {"name": "git_operation", "arguments": "{\"operation\": \"log\", \"file_path\": \"compaction.py\"}"}}, {"id": "call_01_2WNoVpqkQpuTEFoeyebs0249", "type": "function", "function": {"name": "git_operation", "arguments": "{\"operation\": \"log\", \"file_path\": \"token_counter.py\"}"}}], "reasoning_content": "Let me check the files using git to find where these files are."}, {"role": "tool", "tool_call_id": "call_00_a3fvcSaC9eJAhmnCDrhm0908", "content": "{\"stdout\": \"\", \"stderr\": \"\", \"returncode\": 0}", "name": "git_operation"}, {"role": "tool", "tool_call_id": "call_01_2WNoVpqkQpuTEFoeyebs0249", "content": "{\"stdout\": \"\", \"stderr\": \"\", \"returncode\": 0}", "name": "git_operation"}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_00_RN0i0pfn5FM3pTozzbsE0640", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\compaction.py\"}"}}, {"id": "call_01_xVObaBqGvnNTsLhk0pKc6706", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\token_counter.py\"}"}}, {"id": "call_02_k3ThPC6CT1zlDfMnQ5LI9960", "type": "function", "function": {"name": "file_read", "arguments": "{\"file_path\": \"D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\compaction_config.py\"}"}}], "reasoning_content": "These files don't seem to exist in the git repo. Let me search for them more broadly in the project."}, {"role": "tool", "tool_call_id": "call_00_RN0i0pfn5FM3pTozzbsE0640", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\compaction.py\"}", "name": "file_read"}, {"role": "tool", "tool_call_id": "call_01_xVObaBqGvnNTsLhk0pKc6706", "content": "{\"error\": \"文件不存在或不是普通文件: D:\\\\aaa\\\\aiagent\\\\backend\\\\app\\\\services\\\\token_counter.py\"}", "name": "file_read"}], "extra": {"agent_name": "bare_agent", "iteration": 7, "tool_calls_made": 15}}