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feat: switch memory updater to async LLM calls (#2138)
* docs: mark memory updater async migration as completed - Update TODO.md to mark the replacement of sync model.invoke() with async model.ainvoke() in title_middleware and memory updater as completed using [x] format Addresses #2131 * feat: switch memory updater to async LLM calls - Add async aupdate_memory() method using await model.ainvoke() - Convert sync update_memory() to use async wrapper - Add _run_async_update_sync() for nested loop context handling - Maintain backward compatibility with existing sync API - Add ThreadPoolExecutor for async execution from sync contexts Addresses #2131 * test: add tests for async memory updater - Add test_async_update_memory_uses_ainvoke() to verify async path - Convert existing tests to use AsyncMock and ainvoke assertions - Add test_sync_update_memory_wrapper_works_in_running_loop() - Update all model mocks to use async await patterns Addresses #2131 * fix: apply ruff formatting to memory updater - Format multi-line expressions to single line - Ensure code style consistency with project standards - Fix lint issues caught by GitHub Actions * test: add comprehensive tests for async memory updater - Add test_async_update_memory_uses_ainvoke() to verify async path - Convert existing tests to use AsyncMock and ainvoke assertions - Add test_sync_update_memory_wrapper_works_in_running_loop() - Update all model mocks to use async await patterns - Ensure backward compatibility with sync API * fix: satisfy ruff formatting in memory updater test --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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@@ -24,7 +24,7 @@
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- [ ] Optimize async concurrency in agent hot path (IM channels multi-task scenario)
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- [ ] Replace `subprocess.run()` with `asyncio.create_subprocess_shell()` in `packages/harness/deerflow/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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- [x] 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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