51 lines
1.6 KiB
Plaintext
51 lines
1.6 KiB
Plaintext
Metadata-Version: 2.4
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Name: langgraph-sdk
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Version: 0.3.1
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Summary: SDK for interacting with LangGraph API
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Project-URL: Source, https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-py
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Project-URL: Twitter, https://x.com/LangChainAI
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Project-URL: Slack, https://www.langchain.com/join-community
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Project-URL: Reddit, https://www.reddit.com/r/LangChain/
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License-Expression: MIT
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License-File: LICENSE
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Requires-Python: >=3.10
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Requires-Dist: httpx>=0.25.2
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Requires-Dist: orjson>=3.10.1
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Description-Content-Type: text/markdown
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# 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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