arize-phoenix-otel

import os from phoenix.otel import register from opentelemetry import trace # Configure Phoenix collector endpoint and API key via environment variables # PHOENIX_COLLECTOR_ENDPOINT defaults to http://localhost:4317 (gRPC) or http://localhost:6006/v1/traces (HTTP) # PHOENIX_API_KEY for authentication if required by your Phoenix instance # Example usage with explicit project name and auto-instrumentation # For production, set PHOENIX_COLLECTOR_ENDPOINT and PHOENIX_API_KEY environment variables. # If running locally without env vars, it defaults to localhost. tracer_provider = register( project_name=os.environ.get('PHOENIX_PROJECT_NAME', 'my-llm-app'), auto_instrument=True, # Automatically instruments supported AI/ML libraries like OpenAI, LangChain batch=True # Enable batch processing for better performance, requires shutdown call ) # Get a tracer tracer = trace.get_tracer(__name__) # Example of creating a span manually (if auto_instrument=False or for custom logic) with tracer.start_as_current_span("my-manual-operation") as span: span.set_attribute("input", "test data") print("Performing a traced operation...") span.set_attribute("output", "result data") # Important: If batch=True, ensure all spans are flushed before the process exits tracer_provider.shutdown()