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Point to backend_py for LangGraph Studio #8

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Point to backend_py for LangGraph Studio #8

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -82,7 +82,7 @@ DB_ENDPOINT_URL=http://host.docker.internal:3001" > backend_py/.env

2. **Start Studio**

If using python locally, for example, open the `backend_py/my_agent` as a project in the LangGraph Studio desktop applications. Studio gives us direct access to the LangGraph API via a URL that is visible in the lower left corner of the Studio UI. Note that we can also use [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) to deploy and host our back-end.
If using python locally, for example, open the `backend_py` as a project in the LangGraph Studio desktop applications. Studio gives us direct access to the LangGraph API via a URL that is visible in the lower left corner of the Studio UI. Note that we can also use [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) to deploy and host our back-end.

#### Frontend

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