Metadata-Version: 2.4
Name: langgraph-sdk
Version: 0.3.0
Summary: SDK for interacting with LangGraph API
Project-URL: Source, https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-py
Project-URL: Twitter, https://x.com/LangChainAI
Project-URL: Slack, https://www.langchain.com/join-community
Project-URL: Reddit, https://www.reddit.com/r/LangChain/
License-Expression: MIT
License-File: LICENSE
Requires-Python: >=3.10
Requires-Dist: httpx>=0.25.2
Requires-Dist: orjson>=3.10.1
Description-Content-Type: text/markdown

# 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)
```