Telemetry
Langfuse integration for AI call tracing
Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /organizations/langfuse-credentials | Get current Langfuse configuration |
| POST | /organizations/langfuse-credentials | Save Langfuse credentials |
| DELETE | /organizations/langfuse-credentials | Remove Langfuse credentials |
What's Captured Per Call
- Full conversation transcript as Langfuse spans
- LLM provider, model, prompt, completion, and token counts per turn
- Tool call inputs and outputs
- Node path traversed
- Call duration and termination reason
- Extracted data fields
Setup
Step 1: Create a Langfuse project
Sign up at https://cloud.langfuse.com or deploy self-hosted. Go to Settings → API Keys.
Step 2: Save credentials to Sysevo
bash
curl -X POST https://api.sysevo.io/api/v1/organizations/langfuse-credentials \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"host": "https://cloud.langfuse.com",
"public_key": "pk-lf-xxxxxxxxxxxxxxxx",
"secret_key": "sk-lf-xxxxxxxxxxxxxxxx"
}'Or in the portal: Developers → Telemetry.
Step 3: Verify
Place a test call. Within 30 seconds the trace should appear in your Langfuse dashboard under the project.
Remove Credentials
DELETE
/organizations/langfuse-credentialsDisables tracing immediately — subsequent calls are not exported.
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