To send OpenTelemetry traces generated by OpenLIT from your AI Application to Murnitur.ai, follow the below steps.

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1. Get your Credentials

  1. Visit Murnitur.ai: Go to Murnitur.ai to create your account
  2. Generate API Key: Navigate to your dashboard and generate your API key
  3. Save your credentials:
    • API Key: Your Murnitur trace token for authentication
    • Endpoint: https://middleware.murnitur.ai
Murnitur.ai is optimized for trace data. The integration automatically disables metrics to focus on trace observability.

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2. Instrument your application

For Kubernetes deployments with zero-code instrumentation: 
apiVersion: openlit.io/v1alpha1
kind: AutoInstrumentation
metadata:
  name: murnitur-instrumentation
  namespace: default
spec:
  selector:
    matchLabels:
      instrument: "true"
  python:
    instrumentation:
      provider: "openlit"
      version: "latest"
  otlp:
    endpoint: "https://middleware.murnitur.ai"
    headers: "x-murnix-trace-token=YOUR_MURNITUR_API_KEY"
    timeout: 30
  resource:
    environment: "production"
    serviceName: "my-ai-service"
  # Murnitur focuses on trace data, metrics are disabled
  disableMetrics: true
Replace:
  1. YOUR_MURNITUR_API_KEY with your Murnitur API key from Step 1.
Refer to the OpenLIT Operator Documentation for more advanced configurations and use cases.

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3. Visualize in Murnitur.ai

Once your LLM application is instrumented, you can explore the telemetry data in Murnitur.ai:
  1. Navigate to Murnitur.ai: Go to your Murnitur.ai Dashboard
  2. Explore Traces: View your AI application traces including:
    • LLM request traces with detailed timing and execution flow
    • Model performance analytics and latency metrics
    • Request/response data for debugging and optimization
    • Token usage and cost tracking information
    • Complete trace hierarchy showing the full request lifecycle
  3. Trace Analytics: Analyze patterns, performance bottlenecks, and usage trends
  4. Performance Monitoring: Monitor latency, throughput, and error rates
  5. Debugging Tools: Use detailed trace data to debug and optimize your AI applications
Your OpenLIT-instrumented AI applications will appear automatically in Murnitur.ai with comprehensive trace observability focused on LLM performance, execution flow, and detailed debugging capabilities optimized for AI workloads.