splunk-otel-instrumentation-openai-agents 0.1.1

Splunk OpenTelemetry OpenAI Agents instrumentation

This library provides the official OpenTelemetry instrumentation for the openai-agents SDK. It converts the rich trace data emitted by the Agents runtime into the GenAI semantic conventions, enriches spans with request/response payload metadata, and records duration/token usage metrics.

Features

• Generates spans for agents, tools, generations, guardrails, and handoffs using the OpenTelemetry GenAI semantic conventions.

• Captures prompts, responses, tool arguments, and system instructions when content capture is enabled.

• Publishes duration and token metrics for every operation.

• Supports environment overrides so you can configure agent metadata or disable telemetry without code changes.

Installation

If your application is already configured with OpenTelemetry, install the package and its optional instruments:

pip install opentelemetry-instrumentation-openai-agents-v2
pip install openai-agents

Usage

Instrumentation automatically wires the Agents tracing processor into the SDK. Configure OpenTelemetry as usual, then call OpenAIAgentsInstrumentor.

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:
    provider = TracerProvider()
    provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
    trace.set_tracer_provider(provider)

    OpenAIAgentsInstrumentor().instrument(tracer_provider=provider)


@function_tool
def get_weather(city: str) -> str:
    return f"The forecast for {city} is sunny with pleasant temperatures."


assistant = Agent(
    name="Travel Concierge",
    instructions="You are a concise travel concierge.",
    tools=[get_weather],
)

result = Runner.run_sync(assistant, "I'm visiting Barcelona this weekend. How should I pack?")
print(result.final_output)

Configuration

The instrumentor exposes runtime toggles through keyword arguments and environment variables:

• OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT or OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT – controls how much message content is captured. Valid values map to opentelemetry.instrumentation.openai_agents.ContentCaptureMode (span_only, event_only, span_and_event, no_content).

• OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS – set to false to disable duration/token metrics.

• OTEL_INSTRUMENTATION_OPENAI_AGENTS_SYSTEM – overrides the gen_ai.system attribute when your deployment is not the default OpenAI platform.

You can also override agent metadata directly when calling OpenAIAgentsInstrumentor().instrument(...) using agent_name, agent_id, agent_description, base_url, server_address, and server_port.

Examples

The examples directory contains runnable scenarios, including:

• examples/manual – manual OpenTelemetry configuration for a single agent run.

• examples/content-capture – demonstrates span and event content capture.

• examples/zero-code – end-to-end setup using environment configuration only.

References

• OpenTelemetry Python Contrib

• OpenTelemetry GenAI semantic conventions

• OpenAI Agents SDK