langchain
https://github.com/langchain-ai/langchain
Python
⚡ Building applications with LLMs through composability ⚡
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- Issues
- core: `InMemoryRecordManager.list_keys(limit=0)` returns all keys instead of an empty list
- feat(typesafe): experimental classifier based `SkillsMiddleware`
- core: `finalize_tool_call_chunk` coerces `id=None` to `""`, collapsing parallel id-less tool calls
- feat(typesafe): agent middleware powered by TypeSafe classifiers
- refactor(typesafe): mirror SDK request and client configuration
- core: `AsyncBaseTracer` drops `name` in `on_tool_start` and `response` in `on_llm_error`, diverging from `BaseTracer`
- core: `InMemoryVectorStore` raises `NotImplementedError` for relevance-score search and the `similarity_score_threshold` retriever
- MCP ResourceLink/EmbeddedResource metadata dropped when converting to LangChain content blocks (langchain.mcp)
- langchain: preserve result-level MCP `_meta` in tool results
- langchain 1.4.0: any after_model middleware using documented `jump_to="tools"` bypasses the HITL pending_tool_calls gate and re-executes rejected tool calls
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