Studio troubleshooting

Safari Connection Issues

Safari blocks plain-HTTP traffic on localhost. When running Studio with langgraph dev, you may see “Failed to load assistants” errors.

Solution 1: Use Cloudflare Tunnel

Python

pip install -U langgraph-cli>=0.2.6
langgraph dev --tunnel

The command outputs a URL in this format:

https://smith.langchain.com/studio/?baseUrl=https://hamilton-praise-heart-costumes.trycloudflare.com

Use this URL in Safari to load Studio. Here, the baseUrl parameter specifies your agent server endpoint.

Solution 2: Use Chromium browser

Chrome and other Chromium browsers allow HTTP on localhost. Use langgraph dev without additional configuration.

Chrome connection issues

Starting with Chrome version 142, you may experience “Failed to initialize Studio” errors with “TypeError: Failed to fetch” when trying to connect LangSmith Studio to your local development server via langgraph dev. This occurs even when the API server at http://127.0.0.1:2024/docs loads successfully.

Root Cause: Chrome 142 fully enforces the Private Network Access (PNA) specification with no fallback, which blocks HTTPS sites (like https://smith.langchain.com) from accessing HTTP localhost servers by default.

Symptoms

• Running langgraph dev starts the server successfully.
• Navigating to http://127.0.0.1:2024/docs shows the API documentation correctly.
• LangSmith Studio at https://smith.langchain.com shows: “Failed to initialize Studio - Please verify if the API server is running or accessible from the browser. TypeError: Failed to fetch”.
• Browser console shows errors like: Permission was denied for this request to access the 'unknown' address space.

Solution: Allow local network access in Chrome

1. Open LangSmith Studio at https://smith.langchain.com in Chrome.
2. Click the lock icon (or site information icon) to the left of the address bar.
3. Look for the “Local network access” option in the dropdown.
4. Change the setting from “Ask (default)” or “Block” to “Allow”.
5. Reload the page.

Studio should now connect to your local development server successfully.

Additional troubleshooting

Check for browser extension conflicts

Browser extensions (especially Ollama Chrome extension or AI model extensions) can interfere with localhost connections:

1. Disable all browser extensions temporarily.
2. Restart Chrome.
3. Try connecting to Studio again.
4. If it works, re-enable extensions one by one to identify the culprit.

Verify dependencies are up to date

pip install -U "langgraph-cli[inmem]"

Clear browser cache and site data

1. In Chrome, go to Settings > Privacy and Security > Site Settings.
2. Find https://smith.langchain.com in the list.
3. Click Clear data.
4. Restart Chrome and try again.

Brave Connection Issues

Brave blocks plain-HTTP traffic on localhost when Brave Shields are enabled. When running Studio with langgraph dev, you may see “Failed to load assistants” errors.

Solution 1: Disable Brave Shields

Disable Brave Shields for LangSmith using the Brave icon in the URL bar.

Solution 2: Use Cloudflare Tunnel

Python

pip install -U langgraph-cli>=0.2.6
langgraph dev --tunnel

The command outputs a URL in this format:

https://smith.langchain.com/studio/?baseUrl=https://hamilton-praise-heart-costumes.trycloudflare.com

Use this URL in Brave to load Studio. Here, the baseUrl parameter specifies your agent server endpoint.

Graph Edge Issues

Undefined conditional edges may show unexpected connections in your graph. This is because without proper definition, Studio assumes the conditional edge could access all other nodes. To address this, explicitly define the routing paths using one of these methods:

Solution 1: Path map

Define a mapping between router outputs and target nodes:

Python

graph.add_conditional_edges("node_a", routing_function, {True: "node_b", False: "node_c"})

Solution 2: Router type definition

Specify possible routing destinations using Python’s Literal type:

def routing_function(state: GraphState) -> Literal["node_b","node_c"]:
    if state['some_condition'] == True:
        return "node_b"
    else:
        return "node_c"

Experiment troubleshooting in Studio

Run experiment button is disabled

Check the following:

• Deployed application: If your application is deployed on LangSmith, you may need to create a new revision to enable this feature.
• Local development server: If you are running your application locally, make sure you have upgraded to the latest version of the langgraph-cli (pip install -U langgraph-cli). Additionally, ensure you have tracing enabled by setting the LANGSMITH_API_KEY in your project’s .env file.

Evaluator results are missing

When you run an experiment, any attached evaluators are scheduled for execution in a queue. If you don’t see results immediately, it likely means they are still pending.

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