To send OpenTelemetry metrics and traces generated by OpenLIT from your AI Application to SigLens, follow the below steps.

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1. Get your SigLens Endpoint

  1. Ensure SigLens is running: Make sure your SigLens instance is deployed and accessible
  2. Get the OTLP endpoint: SigLens accepts OTLP data on port 4318
    • Local deployment: http://localhost:4318/v1/traces
    • Remote deployment: http://<your-siglens-host>:4318/v1/traces
    • Replace <your-siglens-host> with your SigLens server address
SigLens supports direct OTLP ingestion without additional authentication for basic setups.

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2. Instrument your application

For direct integration into your Python applications:
import openlit

openlit.init(
  otlp_endpoint="YOUR_SIGLENS_HTTP_ENDPOINT"
)
Replace:
  1. YOUR_SIGLENS_HTTP_ENDPOINT with your SigLens OTLP endpoint from Step 1.
    • Example (Local): http://localhost:4318/v1/traces
    • Example (Remote): http://siglens.company.com:4318/v1/traces
Refer to the OpenLIT Python SDK repository for more advanced configurations and use cases.

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3. Visualize in SigLens

Once your LLM application is instrumented, you can explore the telemetry data in SigLens:
  1. Access SigLens Interface: Log into your SigLens instance dashboard
  2. Navigate to Tracing: Click Tracing in the side navigation menu
  3. Explore AI Operations: View your AI application traces including:
    • LLM request traces with detailed timing
    • Token usage and cost information
    • Vector database operations
    • Model performance analytics
    • Request/response payloads (if enabled)
  4. Trace Details: Click on any trace to see detailed span information and execution flow
  5. Search and Filter: Use SigLens’ powerful search capabilities to filter traces by service, operation, or custom attributes
  6. Performance Analysis: Analyze latency patterns and identify performance bottlenecks