---
id: langgraph-sdk
version: "0.4.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# langgraph-sdk — SDK for interacting with LangGraph API

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

## Install

pip install langgraph-sdk
uv add langgraph-sdk
poetry add langgraph-sdk

## Description

# LangGraph Python SDK

This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.

## Quick Start

To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/)

```bash
pip install -U langgraph-sdk
```

You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise
you would need to specify the server URL when creating a client.

```python
from langgraph_sdk import get_client

# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)`
client = get_client()

# List all assistants
assistants = await client.assistants.search()

# We auto-create an assistant for each graph you register in config.
agent = assistants[0]

# Start a new thread
thread = await client.threads.create()

# Start a streaming run
input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
    print(chunk)
```

## Known Limitations

- **WebSocket transport** requires `websockets>=14`...

## AI interpretation — verify before relying

Python SDK for interacting with the LangGraph API, providing async-first client access to assistants, threads, and streaming run execution.

Verdict: Well-maintained, permissively licensed SDK with low install friction and no known vulnerabilities. Suitable for agentic workflows if you have a LangGraph API deployment available.

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