langgraph/docs/docs/reference/index.md

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Reference	API reference for LangGraph	boost 0.5

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Reference

Welcome to the LangGraph reference docs! These pages detail the core interfaces you will use when building with LangGraph. Each section covers a different part of the ecosystem.

!!! tip

If you are just getting started, see [LangGraph basics](../concepts/why-langgraph.md) for an introduction to the main concepts and usage patterns.

LangGraph

The core APIs for the LangGraph open source library.

• Graphs: Main graph abstraction and usage.
• Functional API: Functional programming interface for graphs.
• Pregel: Pregel-inspired computation model.
• Checkpointing: Saving and restoring graph state.
• Storage: Storage backends and options.
• Caching: Caching mechanisms for performance.
• Types: Type definitions for graph components.
• Config: Configuration options.
• Errors: Error types and handling.
• Constants: Global constants.
• Channels: Message passing and channels.

Prebuilt components

Higher-level abstractions for common workflows, agents, and other patterns.

• Agents: Built-in agent patterns.
• Supervisor: Orchestration and delegation.
• Swarm: Multi-agent collaboration.
• MCP Adapters: Integrations with external systems.

LangGraph Platform

Tools for deploying and connecting to the LangGraph Platform.

• CLI: Command-line interface for building and deploying LangGraph Platform applications.
• Server API: REST API for the LangGraph Server.
• SDK (Python): Python SDK for interacting with instances of the LangGraph Server.
• SDK (JS/TS): JavaScript/TypeScript SDK for interacting with instances of the LangGraph Server.
• RemoteGraph: Pregel abstraction for connecting to LangGraph Server instances.
• Environment variables: Supported configuration variables when deploying with the LangGraph Platform.