Metadata-Version: 2.1
Name: langgraph-sdk
Version: 0.1.51
Summary: SDK for interacting with LangGraph API
Home-page: https://www.github.com/langchain-ai/langgraph
License: MIT
Requires-Python: >=3.9.0,<4.0.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: httpx (>=0.25.2)
Requires-Dist: orjson (>=3.10.1)
Project-URL: Repository, https://www.github.com/langchain-ai/langgraph
Description-Content-Type: text/markdown

# LangGraph Python SDK

This repository contains the Python SDK for interacting with the LangGraph Cloud 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)
```