langchain-contextlisted

# LangChain context navigator ## Overview This navigator covers the **LangChain Python ecosystem** in depth, plus a thin orientation pointer for the JS port: - **Primary**: the [langchain-ai/langchain](https://github.com/langchain-ai/langchain) Python monorepo — `langchain-core`, the new `langchain` package (v1; built from `libs/langchain_v1/`), the legacy `langchain-classic` package (built from `libs/langchain/`), in-tree partner integrations, and the auxiliary libs (text-splitters, model-profiles, standard-tests). - **Python companion repos**: LangGraph (`langchain-ai/langgraph`), LangSmith SDK (`langchain-ai/langsmith-sdk`), Deep Agents (`langchain-ai/deepagents`), and the out-of-tree partner monorepos `langchain-ai/langchain-google` and `langchain-ai/langchain-aws`. Plus the docs source at `langchain-ai/docs`. - **JS port (thin coverage only)**: `langchain-ai/langchainjs` is included as a pointer reference for orienting JS questions — full JS depth is out of scope; follow source links into the JS repo for non-trivial questions. When asked a question this navigator's domain covers: 1. Scan the **Catalog** below for the matching topic. 2. Follow the link to read the reference file. 3. If the question spans multiple references, consult the **Cross-reference map**. 4. If a reference points at a source URL for deeper detail, follow it only if the reference itself didn't answer the question. For first-time orientation — what packages exist, how `langchain` vs `langchain-c