opentelemetry-instrumentation-openai-agents

import os from agents import Agent, Runner, function_tool from opentelemetry import trace from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor def configure_otel() -> None: # Configure an OpenTelemetry TracerProvider provider = TracerProvider() processor = BatchSpanProcessor(OTLPSpanExporter()) provider.add_span_processor(processor) trace.set_tracer_provider(provider) # Instrument OpenAI Agents OpenAIAgentsInstrumentor().instrument(tracer_provider=provider) @function_tool def get_weather(city: str) -> str: """Provides the weather for a given city.""" return f"The forecast for {city} is sunny with pleasant temperatures." if __name__ == "__main__": # Ensure OTLP collector is running, e.g., with Docker: # docker run -d -p 4317:4317 -p 4318:4318 otel/opentelemetry-collector-contrib # Configure OpenTelemetry configure_otel() # Example OpenAI Agent usage assistant = Agent( name="Travel Concierge", instructions="You are a concise travel concierge.", tools=[get_weather], ) print("Running agent...") # Provide dummy API key if required by 'openai-agents', though it might be configured via env vars. # For real use, ensure OpenAI API key is set via environment variable, e.g., OPENAI_API_KEY os.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY', 'sk-dummy-key-for-example') result = Runner.run_sync(assistant, "I'm visiting Barcelona this weekend. How should I pack?") print(f"Agent final output: {result.final_output}") print("Traces should now be visible in your configured OpenTelemetry backend.")