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66 lines
4.9 KiB
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66 lines
4.9 KiB
Plaintext
# LangGraph
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> LangGraph is a framework for building stateful, multi-actor applications with LLMs. Gain control with LangGraph to design agents that reliably handle complex tasks.
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LangGraph documentation has moved to https://docs.langchain.com/oss/python/langgraph/overview.
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## Docs
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- [LangGraph overview](https://docs.langchain.com/oss/python/langgraph/overview): Gain control with LangGraph to design agents that reliably handle complex tasks
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- [Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart): Build your first LangGraph agent
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- [Install LangGraph](https://docs.langchain.com/oss/python/langgraph/install): Install the LangGraph package
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- [Thinking in LangGraph](https://docs.langchain.com/oss/python/langgraph/thinking-in-langgraph): Learn how to think about building agents with LangGraph
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- [Workflows and agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Understand the difference between workflows and agents in LangGraph
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## APIs
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- [Graph API overview](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn about the Graph API for building stateful applications
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- [Use the graph API](https://docs.langchain.com/oss/python/langgraph/use-graph-api): Build agents using the Graph API
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- [Functional API overview](https://docs.langchain.com/oss/python/langgraph/functional-api): Learn about the Functional API for building agents
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- [Use the functional API](https://docs.langchain.com/oss/python/langgraph/use-functional-api): Build agents using the Functional API
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- [Choosing between Graph and Functional APIs](https://docs.langchain.com/oss/python/langgraph/choosing-apis): Decide which API to use for your use case
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## Core Concepts
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- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Save and restore graph state
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- [Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Add memory to your agents
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- [Memory overview](https://docs.langchain.com/oss/python/langgraph/memory): Understand memory concepts in LangGraph
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- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graphs
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- [Interrupts](https://docs.langchain.com/oss/python/langgraph/interrupts): Pause and resume graph execution for human-in-the-loop workflows
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- [Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs with subgraphs
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- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build resilient agents with durable execution
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- [Use time-travel](https://docs.langchain.com/oss/python/langgraph/use-time-travel): Debug and replay agent execution
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## Architecture
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- [Application structure](https://docs.langchain.com/oss/python/langgraph/application-structure): Structure your LangGraph applications
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- [LangGraph runtime](https://docs.langchain.com/oss/python/langgraph/pregel): Understand the LangGraph runtime
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## Deployment & Operations
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- [LangSmith Deployment](https://docs.langchain.com/oss/python/langgraph/deploy): Deploy LangGraph applications to LangSmith
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- [Run a local server](https://docs.langchain.com/oss/python/langgraph/local-server): Run a LangGraph server locally
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- [LangSmith Observability](https://docs.langchain.com/oss/python/langgraph/observability): Monitor and trace LangGraph applications
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- [LangSmith Studio](https://docs.langchain.com/oss/python/langgraph/studio): Debug and visualize LangGraph applications
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- [Agent Chat UI](https://docs.langchain.com/oss/python/langgraph/ui): Build chat interfaces for your agents
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- [Test](https://docs.langchain.com/oss/python/langgraph/test): Test your LangGraph applications
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## Tutorials
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- [Build a custom RAG agent with LangGraph](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build a retrieval-augmented generation agent
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- [Build a custom SQL agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Build an agent that queries databases
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## Reference
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- [Case studies](https://docs.langchain.com/oss/python/langgraph/case-studies): Real-world LangGraph implementations
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- [Changelog](https://docs.langchain.com/oss/python/langgraph/changelog-py): Python package changelog
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## Errors
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- [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/errors/GRAPH_RECURSION_LIMIT): Graph exceeded maximum recursion depth
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- [INVALID_CHAT_HISTORY](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CHAT_HISTORY): Invalid chat history format
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- [INVALID_CONCURRENT_GRAPH_UPDATE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CONCURRENT_GRAPH_UPDATE): Concurrent graph update conflict
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- [INVALID_GRAPH_NODE_RETURN_VALUE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_GRAPH_NODE_RETURN_VALUE): Invalid return value from graph node
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- [MISSING_CHECKPOINTER](https://docs.langchain.com/oss/python/langgraph/errors/MISSING_CHECKPOINTER): Checkpointer required but not configured
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- [MULTIPLE_SUBGRAPHS](https://docs.langchain.com/oss/python/langgraph/errors/MULTIPLE_SUBGRAPHS): Multiple subgraphs error
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