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https://github.com/langchain-ai/langgraph.git
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Sam CrowderandGitHub
9b46cba1fb
some of these changes were obvious, and some were less obvious. In a few spots, it felt like a judgement call if we should be saying LangSmith Deployment of LangGraph Server. But hopefully either works.
36 lines
1.1 KiB
Markdown
36 lines
1.1 KiB
Markdown
# LangGraph Python SDK
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This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
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## Quick Start
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To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/)
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```bash
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pip install -U langgraph-sdk
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```
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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
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you would need to specify the server URL when creating a client.
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```python
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from langgraph_sdk import get_client
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# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)`
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client = get_client()
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# List all assistants
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assistants = await client.assistants.search()
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# We auto-create an assistant for each graph you register in config.
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agent = assistants[0]
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# Start a new thread
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thread = await client.threads.create()
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# Start a streaming run
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input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
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async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
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print(chunk)
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```
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