Prerequisites
LangGraph Studio supports connecting to two types of graphs: LangGraph Studio is accessed from the LangSmith UI, within the LangGraph Platform Deployments tab. For applications that are deployed on LangGraph Platform, you can access Studio as part of that deployment. To do so, navigate to the deployment in LangGraph Platform within the LangSmith UI and click the “LangGraph Studio” button. This will load the Studio UI connected to your live deployment, allowing you to create, read, and update the threads, assistants, and memory in that deployment.

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Local development server

To test your locally running application using LangGraph Studio, ensure your application is set up following this guide.
LangSmith Tracing For local development, if you do not wish to have data traced to LangSmith, set LANGSMITH_TRACING=false in your application’s .env file. With tracing disabled, no data will leave your local server.
Next, install the LangGraph CLI: 
pip install -U "langgraph-cli[inmem]"
and run: 
langgraph dev
Browser Compatibility Safari blocks localhost connections to Studio. To work around this, run the above command with --tunnel to access Studio via a secure tunnel.
This will start the LangGraph Server locally, running in-memory. The server will run in watch mode, listening for and automatically restarting on code changes. Read this reference to learn about all the options for starting the API server. If successful, you will see the following logs:
Ready!
Once running, you will automatically be directed to LangGraph Studio. For an already running server, access Studio by either:
  1. Directly navigate to the following URL: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024.
  2. Within LangSmith, navigate to the LangGraph Platform Deployments tab, click the “LangGraph Studio” button, enter http://127.0.0.1:2024 and click “Connect”.
If running your server at a different host or port, simply update the baseUrl to match.

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(Optional) Attach a debugger

For step-by-step debugging with breakpoints and variable inspection: 
# Install debugpy package
pip install debugpy

# Start server with debugging enabled
langgraph dev --debug-port 5678
Then attach your preferred debugger:
Add this configuration to launch.json:
{
    "name": "Attach to LangGraph",
    "type": "debugpy",
    "request": "attach",
    "connect": {
      "host": "0.0.0.0",
      "port": 5678
    }
}

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Troubleshooting

For issues getting started, please see this troubleshooting guide.

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Next steps

See the following guides for more information on how to use Studio: