LangGraph v1 migration guide

This guide outlines changes in LangGraph v1 and how to migrate from previous versions. For a high-level overview of changes, see the what’s new page.

To upgrade:

pip

pip install -U langgraph langchain-core

Summary of changes

LangGraph v1 is largely backwards compatible with previous versions. The main change is the deprecation of create_react_agent in favor of LangChain’s new create_agent function.

Deprecations

The following table lists all items deprecated in LangGraph v1:

Deprecated item	Alternative
create_react_agent	langchain.agents.create_agent
AgentState	langchain.agents.AgentState
AgentStatePydantic	langchain.agents.AgentState (no more pydantic state)
AgentStateWithStructuredResponse	langchain.agents.AgentState
AgentStateWithStructuredResponsePydantic	langchain.agents.AgentState (no more pydantic state)
HumanInterruptConfig	langchain.agents.middleware.human_in_the_loop.InterruptOnConfig
ActionRequest	langchain.agents.middleware.human_in_the_loop.InterruptOnConfig
HumanInterrupt	langchain.agents.middleware.human_in_the_loop.HITLRequest
ValidationNode	Tools automatically validate input with create_agent
MessageGraph	StateGraph with a messages key, like create_agent provides

create_react_agent → create_agent

LangGraph v1 deprecates the create_react_agent prebuilt. Use LangChain’s create_agent, which runs on LangGraph and adds a flexible middleware system.

See the LangChain v1 docs for details:

• Release notes
• Migration guide

v1 (new)

from langchain.agents import create_agent

agent = create_agent(  
    model,
    tools,
    system_prompt="You are a helpful assistant.",
)

Breaking changes

Dropped Python 3.9 support

All LangChain packages now require Python 3.10 or higher. Python 3.9 reached end of life in October 2025.

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