renjianbo
eabf90c496
feat: add AI学习助手 agent (KG+RAG ideal) and renshenguo feishu bot
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- Add AI学习助手 agent creation script with all 39 tools, 3-layer KG+RAG memory
- Add renshenguo (人参果) feishu bot integration (app_service + ws_handler)
- Register renshenguo WS client in main.py startup
- Add RENSHENGUO_APP_ID / RENSHENGUO_APP_SECRET / RENSHENGUO_AGENT_ID config
- Reorganize docs from root into docs/ subdirectories
- Move startup scripts to scripts/startup/
- Various backend optimizations and tool improvements
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-06 01:37:13 +08:00
renjianbo
b8b01254ca
feat: Phase 1 - output quality verification + node-level auto-retry
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- Add enterprise_review tool (35th builtin) for LLM-based quality assessment
- Add evaluator workflow node type for quality gating in DAG
- Add AgentRuntime built-in self-review with auto-correction loop
- Rewrite error_handler node from stub to real retry mechanism
- Add engine-level per-node retry with configurable max_retries/delay/on_exhausted
- Add AgentExtension model for extension tracking
- Enhance validation in agent_create_tool and tool_register_tool
- Update 全能助手 system prompt with self-evolution workflow
- Docs: 缺失能力.md and 解决缺失能力计划.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-04 22:05:28 +08:00
renjianbo
244ed31274
feat: add 10 new tools + agent self-evolution system (31 tools total)
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New tools (10):
- code_execute: Python/JS sandbox execution
- git_operation: Git read-only operations (log/diff/blame/status)
- web_search: DuckDuckGo web search
- pdf_generate: Markdown to PDF/HTML report generation
- project_scaffold: Project template generator (fastapi/vue/react)
- task_plan: Task decomposition and progress tracking
- excel_process: Excel read/write with chart support
- browser_use: Headless browser control (playwright)
- docker_manage: Docker container management (read-only)
- deploy_push: File deployment (copy/rsync)
Self-evolution tools:
- agent_create: Dynamically create specialized sub-agents at runtime
- tool_register: Dynamically register HTTP tools at runtime
Documentation:
- Add 使用文档.md with full tool reference and project examples
- Update 创建agent.md (19→31 tools, add self-evolution chapter)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-03 22:29:28 +08:00
renjianbo
de415ca310
feat: add Prompt template library, agent_call inter-agent tool, and RAG memory
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- New PromptTemplatePicker component for browsing 13 preset prompt templates
- AgentConfig.vue: "Load from library" button for system prompt
- Agents.vue: "Create from Prompt template" entry with agent node + RAG memory
- seed_prompt_templates.py: 13 preset templates (客服/研发/教育/内容/分析/创意/健康医疗)
- agent_call tool: agents can delegate tasks to other agents (19th builtin tool)
- Created 全能助手 (general orchestrator) and 家庭医生助手 agents
- Switch template-created agents from type:llm to type:agent for full ReAct + RAG
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-03 21:57:30 +08:00
renjianbo
1c83b6284f
feat: add 灵犀 Feishu bot + fix agent schedule system + default all tools
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- Add 灵犀学习助手 Feishu bot (lingxi_app_service + lingxi_ws_handler)
- Fix agent_schedule_service missing AgentSchedule import (Celery Beat)
- Fix scene_templates default enable_tools=False → True
- Fix workflow_engine LLM node: empty tools list now = all tools (consistent with agent node)
- Add 创建agent.md guide document
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-03 00:20:29 +08:00
renjianbo
d3a00ebae5
feat: add 甜甜 Feishu bot for 苏瑶3号 knowledge-graph agent
...
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-02 21:53:36 +08:00
renjianbo
a924486f26
feat: add Suyao Feishu bot and per-agent memory config support
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- Create suyao_app_service.py and suyao_ws_handler.py for 苏瑶 Feishu bot
- Add SUYAO_APP_ID/SUYAO_APP_SECRET/SUYAO_AGENT_ID config fields
- Fix node config extraction bug (n.get("config") → n.get("data")) in all WS handlers
- Add _build_memory_config_from_node() to support per-agent memory settings
(max_history_messages, vector_memory_top_k, persist_to_db, etc.)
- Create 苏瑶1号 (Plan A: long context), 苏瑶2号 (Plan B: emotion tracking),
苏瑶3号 (Plan C: knowledge graph + RAG) agents with different memory strategies
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-02 21:44:47 +08:00
renjianbo
68fbadae76
feat: add 8 builtin tools, AgentSchedules management page, Celery Beat integration
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- Add 3 schedule tools (create/list/delete) and 5 utility tools (crypto, random, email, URL, regex)
- Add frontend AgentSchedules.vue page with full CRUD, cron presets, manual trigger
- Integrate Celery Beat for automatic schedule execution
- Update startup scripts with Celery Beat launch
- Fix schedule list API to show all schedules for admin users
- Add celrybeat-schedule.* to .gitignore
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-02 19:14:25 +08:00
renjianbo
7ee80c74b2
feat: 集成飞书通知和机器人对话系统
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- 新增通知系统 (notifications 表、服务、API)
- 新增飞书定时任务结果推送 (webhook + 应用消息)
- 新增飞书应用消息发送服务 (feishu_app_service)
- 新增飞书 WebSocket 长连接事件监听 (苹果应用)
- 新增飞书账号绑定/解绑 API
- 新增橙子飞书机器人 (独立 WS 连接,固定路由到橙子助手 Agent)
- 执行记录添加 schedule_id,用户添加飞书绑定字段
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-02 16:17:49 +08:00
renjianbo
0bbf68d5bb
feat: 实现 Agent 定时任务系统 — 按 cron 表达式周期执行 Agent
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- 新增 AgentSchedule 模型、CRUD API、调度服务
- 集成 Celery Beat 每分钟检查到期任务并自动触发执行
- 支持手动触发、cron 表达式解析、执行状态跟踪
- 依赖: croniter (cron 表达式解析)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-02 12:14:37 +08:00
renjianbo
e3802eff60
feat: 实现 Agent 自主学习 — 从历史执行中优化工具选择
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- 新增 AgentLearningPattern 模型和 agent_learning_service 服务
- 执行前注入历史学习模式到 system prompt 作为工具选择建议
- 执行后自动提取工具序列并保存/累计学习模式
- 支持任务分类(11类)、关键词提取、工具序列合并、有效性评分
- 集成到 AgentRuntime.run()/run_stream(),支持 bare chat 和 Agent 模式
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-02 12:04:00 +08:00
renjianbo
7b9e0826de
feat: 向量记忆 RAG、工具市场、SSE 流式响应、前端集成与测试覆盖
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- 新增 embedding_service(语义检索)、knowledge_service(RAG)、text_chunker、document_parser
- 新增 tool_registry(自定义工具注册表)并完善工具市场 API(CRUD + code/http 执行)
- 新增 agent_vector_memory / knowledge_base 模型及对应数据库表
- 实现 SSE 流式响应与 Agent 预算控制
- AgentChat.vue 集成 MainLayout 导航布局
- 完善测试体系:7 个新测试文件共 110 个测试覆盖
- 修复 conftest.py SQLite 内存数据库连接隔离问题
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-01 22:30:46 +08:00
renjianbo
036f533881
feat: Agent 监控与编排、仪表盘/配置页及文档更新
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- agent_runtime: orchestrator、core/memory/schemas 调整
- agent_monitoring API、service、agent_llm_log 模型与 database 注册
- 前端 AgentDashboard、AgentConfig、Agents/MainLayout/路由与 AgentChat
- 文档:(红头)项目核心文档汇总、自主AI Agent改造完成情况、AI agent改造计划
Made-with: Cursor
2026-05-01 19:32:59 +08:00
renjianbo
cadeb2dc32
fix: 修复热点摘要超长上下文并统一 Windows 启动文档
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为 http_request 增加响应体截断与头部精简,避免门户首页触发 LLM 上下文超限;同时新增政务/媒体及教育批量 Agent 脚本,并将 Windows 启停说明合并为唯一指南,补充本次超时故障复盘与标准重启流程。
Made-with: Cursor
2026-04-30 00:10:19 +08:00
renjianbo
df4fab1e6e
feat: Agent 批量测试、作业助手与上传预览;Windows 启动脚本与文档- 新增 run_agent_test_cases 与示例 JSON、(红头)agent测试用例文档
...
- 扩展 test_agent_execution(--homework、UTF-8 控制台)
- 后端:uploads 预览、file_read、工作流与对话落盘等
- 前端:AgentChatPreview 与设计器相关调整
- 忽略 redis二进制、agent_workspaces、uploads、tessdata 等本机产物
Made-with: Cursor
2026-04-13 20:17:18 +08:00
renjianbo
0608161c82
feat: 完善企业场景多线路由与执行稳定性
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补齐平台模板与场景 DSL、预算控制、执行看板和企业场景脚本,增强 Windows 启动/迁移与前端代理和聊天会话记忆,修复执行创建阶段 500 与异步链路排障体验。
Made-with: Cursor
2026-04-09 21:58:53 +08:00
renjianbo
bd3f8be781
feat: 工作流记忆与内置工具、知你客服脚本、Agent管理技能展示与能力配置、文档与Windows启动脚本;忽略 redis_temp 二进制目录
...
Made-with: Cursor
2026-04-08 11:44:24 +08:00
f7702f4e72
ss
2026-01-22 09:59:02 +08:00
6674060f2f
第一次提交
2026-01-19 00:09:36 +08:00