---
id: langgraph-prebuilt
version: "1.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# langgraph-prebuilt — Library with high-level APIs for creating and executing LangGraph agents and tools.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install langgraph-prebuilt
uv add langgraph-prebuilt
poetry add langgraph-prebuilt

## Description

# LangGraph Prebuilt

This library defines high-level APIs for creating and executing LangGraph agents and tools.

> [!IMPORTANT]
> This library is meant to be bundled with `langgraph`, don't install it directly

## Agents

`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent) of a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent - `create_react_agent`:

```bash
pip install langchain-anthropic
```

```python
from langchain_anthropic import ChatAnthropic
from langgraph.prebuilt import create_react_agent

# Define the tools for the agent to use
def search(query: str):
    """Call to surf the web."""
    # This is a placeholder, but don't tell the LLM that...
    if "sf" in query.lower() or "san francisco" in query.lower():
        return "It's 60 degrees and foggy."
    return "It's 90 degrees and sunny."

tools = [search]
model = ChatAnthropic(model="claude-3-7-sonnet-latest")

app = create_react_agent(model, tools)
# run the agent
app.invoke(
    {"messages": [{"role": "user", "content":...

## AI interpretation — verify before relying

Provides high-level APIs for building LangGraph agents and tools, including a ReAct-style agent implementation, tool execution nodes, and validation nodes for agentic workflows.

Verdict: A production-ready, actively maintained library for building agentic workflows with LangGraph. Low dependency overhead, permissive MIT license, and no known vulnerabilities make it a solid choice for agent development—though the bundling note suggests verifying compatibility with your langgraph version.

[View on SkillFed](https://skillfed.io/packages/langgraph-prebuilt) · [View on PyPI](https://pypi.org/project/langgraph-prebuilt/)