Monitoring LLM API Calls in Python: Latency, Token Usage, and Cost Tracking With OpenTelemetry

1. 1Install OpenTelemetry using pip with 'pip install opentelemetry-api'
2. 2Configure OpenTelemetry to track LLM API calls by creating a tracer with 'tracer = opentelemetry.trace.get_tracer(__name__)'
3. 3Use the tracer to track latency and token usage with 'tracer.start_span'
4. 4Implement cost tracking by integrating with the LLM API's cost estimation API
5. 5Visualize the tracked data using a dashboard like Prometheus or Grafana

Developers and DevOps teams can benefit from monitoring LLM API calls to optimize application performance and reduce costs

💡 Monitoring LLM API calls is crucial for optimizing application performance and reducing costs

Monitor LLM API calls in Python with OpenTelemetry to track latency, token usage, and cost #LLM #OpenTelemetry #Python