Pending Badge Stuck on Setup Tracing Step

[c0pper]

Hello team,

I'm experiencing an issue with the Setup Tracing step in my Langfuse project. After following all steps and setting up my keys in my codebase, the "pending" badge remains visible, even though I’ve installed Langfuse and configured it with the correct API keys.

The traces are not appearing in the ui. This is what I'm trying:

def rag_question(question: str, k=5) -> RagResponse:
    trace = langfuse.trace(
		name = "docs-retrieval",
		user_id = "user__935d7d1d-8625-4ef4-8651-544613e7bd22",
		metadata = {
			"email": "[email protected]",
		},
		tags = ["production"]
	)
    langfuse.flush()

Steps I followed:

Installed Langfuse with pip install langfuse.
Set up my project with the provided API keys:
    Secret Key: [obscured for security]
    Public Key: [obscured for security]
Configured the host as specified.

Expected Behavior: I expected the "pending" badge to change or disappear after completing these steps.

Actual Behavior: The "pending" badge remains displayed, and it’s unclear if additional steps are required.

Additional Information:

Langfuse version: 2.84.1
Python version: 3.10
Screenshot of the issue is attached.

Could you please clarify if there’s anything additional I need to do, or if this is a bug?

Thank you!

[dosubot[bot]]

To resolve the issue with the "pending" badge stuck on the Setup Tracing step in your Langfuse project, consider the following steps:

1. Verify Integration: Double-check that your application is correctly integrated with Langfuse. Ensure that the API keys are correctly set in your environment or code.

2. Inspect Tracing Configuration: Make sure your tracing configuration is correct. Verify that the LANGFUSE_HOST is set to the correct endpoint if you're self-hosting or using a specific data region.

3. Review Logs: Check your application logs for any errors related to Langfuse. Enable debug logging if necessary to get more detailed information.

4. Manual Flushing: Since you're using langfuse.flush(), ensure that this is called at the appropriate time in your application lifecycle, especially if it's a short-lived process.

5. Network Issues: Ensure there are no network issues preventing data from being sent to Langfuse. Check your firewall or network settings.

6. Batching Configuration: If your application has high throughput, adjust the batching configuration to ensure timely event sending. Modify flushAt and flushInterval settings if needed.

By following these steps, you should be able to identify and resolve the issue. If the problem persists, it might be worth checking for any updates or known issues with the Langfuse version you are using ^[1][2].

To continue talking to Dosu, mention @dosu.

[marcklingen]

@yarikoptic glad that this apparently resolved the question. What specifically was the issue here?