mirror of
https://gitee.com/wanwujie/deer-flow
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75b7302000
* feat: add IM channels system for Feishu, Slack, and Telegram integration Bridge external messaging platforms to DeerFlow via LangGraph Server with async message bus, thread management, and per-channel configuration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address review comments on IM channels system Fix topic_id handling in store remove/list_entries and manager commands, correct Telegram reply threading, remove unused imports/variables, update docstrings and docs to match implementation, and prevent config mutation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * update skill creator * fix im reply text * fix comments --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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1.7 KiB
TODO List
Completed Features
- Launch the sandbox only after the first file system or bash tool is called
- Add Clarification Process for the whole process
- Implement Context Summarization Mechanism to avoid context explosion
- Integrate MCP (Model Context Protocol) for extensible tools
- Add file upload support with automatic document conversion
- Implement automatic thread title generation
- Add Plan Mode with TodoList middleware
- Add vision model support with ViewImageMiddleware
- Skills system with SKILL.md format
Planned Features
- Pooling the sandbox resources to reduce the number of sandbox containers
- Add authentication/authorization layer
- Implement rate limiting
- Add metrics and monitoring
- Support for more document formats in upload
- Skill marketplace / remote skill installation
- Optimize async concurrency in agent hot path (IM channels multi-task scenario)
- Replace
time.sleep(5)withasyncio.sleep()insrc/tools/builtins/task_tool.py(subagent polling) - Replace
subprocess.run()withasyncio.create_subprocess_shell()insrc/sandbox/local/local_sandbox.py - Replace sync
requestswithhttpx.AsyncClientin community tools (tavily, jina_ai, firecrawl, infoquest, image_search) - Replace sync
model.invoke()with asyncmodel.ainvoke()in title_middleware and memory updater - Consider
asyncio.to_thread()wrapper for remaining blocking file I/O - For production: use
langgraph up(multi-worker) instead oflanggraph dev(single-worker)
- Replace
Resolved Issues
- Make sure that no duplicated files in
state.artifacts - Long thinking but with empty content (answer inside thinking process)