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LangChain & LangGraph · all subjects

langgraph graphs

5 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

LangGraph documentation topics

LangGraph documentation appears under Build > LangGraph tab with groups: Get started, Capabilities, Production, Frontend, and LangGraph APIs (Graph API, Functional API).

langgraph-docs skill purpose and scope

The langgraph-docs skill fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use this skill when users ask about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or need LangGraph implementation guidance.

langgraph-docs skill workflow step 1: fetch documentation index

The first step in the langgraph-docs skill workflow is to use fetch_url to read https://docs.langchain.com/llms.txt, which returns a structured list of all available documentation with descriptions.

langgraph-docs skill workflow step 2: select relevant documentation

From the documentation index, identify 2-4 most relevant URLs, prioritizing implementation questions (specific how-to guides), conceptual questions (core concept pages), end-to-end examples (tutorials), and API details (reference docs).

langgraph-docs skill workflow step 3: fetch and apply documentation

Use fetch_url on the selected URLs, then complete the user's request using the documentation content. If fetch_url fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.

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