To send OpenTelemetry traces generated by OpenLIT from your AI Application to Murnitur.ai, follow the below steps.
1. Get your Credentials
- Visit Murnitur.ai: Go to Murnitur.ai to create your account
- Generate API Key: Navigate to your dashboard and generate your API key
- 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.
2. Instrument your application
For direct integration into your Python applications: Function Arguments
Environment Variables
import openlit
openlit.init(
otlp_endpoint="https://middleware.murnitur.ai",
otlp_headers="x-murnix-trace-token=YOUR_MURNITUR_API_KEY",
disable_metrics=True # Murnitur focuses on trace data
)
YOUR_MURNITUR_API_KEY with your Murnitur API key from Step 1.
import openlit
openlit.init()
export OTEL_EXPORTER_OTLP_ENDPOINT="https://middleware.murnitur.ai"
export OTEL_EXPORTER_OTLP_HEADERS="x-murnix-trace-token=YOUR_MURNITUR_API_KEY"
export OTEL_SERVICE_NAME="my-ai-service"
export OTEL_DEPLOYMENT_ENVIRONMENT="production"
export OPENLIT_DISABLE_METRICS="true"
YOUR_MURNITUR_API_KEY with your Murnitur API key from Step 1.
For zero-code auto-instrumentation via command line: CLI Arguments
Environment Variables
# Using CLI arguments
openlit-instrument \
--otlp-endpoint "https://middleware.murnitur.ai" \
--otlp-headers "x-murnix-trace-token=YOUR_MURNITUR_API_KEY" \
--service-name "my-ai-service" \
--deployment-environment "production" \
--disable-metrics \
python app.py
YOUR_MURNITUR_API_KEY with your Murnitur API key from Step 1.
# Set environment variables (takes precedence over CLI args)
export OTEL_EXPORTER_OTLP_ENDPOINT="https://middleware.murnitur.ai"
export OTEL_EXPORTER_OTLP_HEADERS="x-murnix-trace-token=YOUR_MURNITUR_API_KEY"
export OTEL_SERVICE_NAME="my-ai-service"
export OTEL_DEPLOYMENT_ENVIRONMENT="production"
export OPENLIT_DISABLE_METRICS="true"
# Run your application
openlit-instrument python app.py
YOUR_MURNITUR_API_KEY with your Murnitur API key from Step 1.
3. Visualize in Murnitur.ai
Once your LLM application is instrumented, you can explore the telemetry data in Murnitur.ai:
- Navigate to Murnitur.ai: Go to your Murnitur.ai Dashboard
- 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
- Trace Analytics: Analyze patterns, performance bottlenecks, and usage trends
- Performance Monitoring: Monitor latency, throughput, and error rates
- 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. 
