mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-13 18:24:45 +08:00
* 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>
35 lines
1.7 KiB
Markdown
35 lines
1.7 KiB
Markdown
# TODO List
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## Completed Features
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- [x] Launch the sandbox only after the first file system or bash tool is called
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- [x] Add Clarification Process for the whole process
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- [x] Implement Context Summarization Mechanism to avoid context explosion
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- [x] Integrate MCP (Model Context Protocol) for extensible tools
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- [x] Add file upload support with automatic document conversion
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- [x] Implement automatic thread title generation
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- [x] Add Plan Mode with TodoList middleware
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- [x] Add vision model support with ViewImageMiddleware
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- [x] Skills system with SKILL.md format
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## Planned Features
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- [ ] Pooling the sandbox resources to reduce the number of sandbox containers
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- [ ] Add authentication/authorization layer
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- [ ] Implement rate limiting
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- [ ] Add metrics and monitoring
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- [ ] Support for more document formats in upload
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- [ ] Skill marketplace / remote skill installation
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- [ ] Optimize async concurrency in agent hot path (IM channels multi-task scenario)
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- Replace `time.sleep(5)` with `asyncio.sleep()` in `src/tools/builtins/task_tool.py` (subagent polling)
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- Replace `subprocess.run()` with `asyncio.create_subprocess_shell()` in `src/sandbox/local/local_sandbox.py`
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- Replace sync `requests` with `httpx.AsyncClient` in community tools (tavily, jina_ai, firecrawl, infoquest, image_search)
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- Replace sync `model.invoke()` with async `model.ainvoke()` in title_middleware and memory updater
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- Consider `asyncio.to_thread()` wrapper for remaining blocking file I/O
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- For production: use `langgraph up` (multi-worker) instead of `langgraph dev` (single-worker)
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## Resolved Issues
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- [x] Make sure that no duplicated files in `state.artifacts`
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- [x] Long thinking but with empty content (answer inside thinking process)
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