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

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1. Get your Credentials

  1. Sign in to your Highlight.io account
  2. Navigate to Project Settings:
    • Go to your project dashboard
    • Click on Settings → Project Settings
  3. Get your Project ID:
    • Copy your Project ID from the settings page
    • This will be used in the OTLP endpoint URL
  4. Generate API Key (if needed):
    • Navigate to API Keys section
    • Generate a new API key for OpenTelemetry ingestion
    • Copy the API key for authentication

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2. Instrument your application

For Kubernetes deployments with zero-code instrumentation: 
apiVersion: openlit.io/v1alpha1
kind: AutoInstrumentation
metadata:
  name: highlight-instrumentation
  namespace: default
spec:
  selector:
    matchLabels:
      instrument: "true"
  python:
    instrumentation:
      provider: "openlit"
      version: "latest"
  otlp:
    endpoint: "https://otel.highlight.io:4318/v1/traces"
    headers: "x-highlight-project=YOUR_PROJECT_ID"
    timeout: 30
  resource:
    environment: "production"
    serviceName: "my-ai-service"
Replace:
  1. YOUR_PROJECT_ID with your Highlight.io Project ID from Step 1.
    • Example: x-highlight-project=1jdkoe52
Refer to the OpenLIT Operator Documentation for more advanced configurations and use cases.

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3. Visualize in Highlight.io

Once your LLM application is instrumented, you can explore the telemetry data in Highlight.io:
  1. Navigate to Traces: Go to your Highlight.io project dashboard and click on Traces
  2. 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)
  3. Session Monitoring: Link traces to user sessions for full-stack observability
  4. Error Tracking: Monitor and debug AI application errors and exceptions
  5. Performance Analysis: Analyze latency, throughput, and resource usage
Your OpenLIT-instrumented AI applications will appear automatically in Highlight.io with comprehensive observability including LLM costs, token usage, model performance, and integration with your existing application monitoring.