OpenAI Agents SDK

The OpenAI Agents SDK instrumentation traces every agent run, model call, tool call and handoff.

New to Oodle?

Oodle is a managed observability platform for metrics, logs, traces and agent traces. It ingests OpenTelemetry natively, so the snippet on this page is the complete setup.

Each trace shows the full transcript, the token counts and cost of every call, the agent structure (runs, steps and tool calls) and Signals: labels for loops, rate limits, refusals and tool failures, detected as the trace arrives.

Sign up for free to get an instance ID and an API key, or see the Agent Observability overview first.

You will need:

• OODLE_INSTANCE: your Oodle instance ID (ap1, us1)
• OODLE_API_KEY: an Oodle API key (ap1, us1)
• OTLP_ENDPOINT: your OTLP collector domain, shown on the tile

Open the OpenAI Agents SDK tile on the ap1, us1 page to get these filled in for you, or let an agent do the setup with /oodle-onboarding set up the llm_observability_openai_agents integration.

Install

Install the OpenAI Agents SDK OTel instrumentation:

pip install openai-agents \
  opentelemetry-instrumentation-openai-agents \
  opentelemetry-exporter-otlp-proto-http \
  opentelemetry-sdk

Instrument

Initialize OpenTelemetry and activate the Agents SDK instrumentor. Every agent run, model call, tool call and handoff is then traced:

import asyncio

from agents import Agent, Runner, function_tool
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.trace import set_tracer_provider


def setup_opentelemetry():
    resource = Resource.create({"service.name": "my-llm-app"})

    tracer_provider = TracerProvider(resource=resource)
    tracer_provider.add_span_processor(
        BatchSpanProcessor(OTLPSpanExporter())
    )
    set_tracer_provider(tracer_provider)


setup_opentelemetry()

# Traces agent runs, model calls, tool calls and handoffs.
OpenAIAgentsInstrumentor().instrument()


@function_tool
def get_weather(city: str) -> str:
    """Return the weather for a city."""
    return f"Sunny in {city}"


agent = Agent(
    name="weather-agent",
    instructions="Use tools when asked about the weather.",
    model="gpt-4o-mini",
    tools=[get_weather],
)

result = asyncio.run(Runner.run(agent, "What is the weather in Paris?"))
print(result.final_output)

Environment

Point the application at Oodle:

# OTLP endpoint (points straight at Oodle)
export OTEL_EXPORTER_OTLP_ENDPOINT=https://<OTLP_ENDPOINT>

export OTEL_EXPORTER_OTLP_HEADERS="X-API-KEY=<OODLE_API_KEY>,X-OODLE-INSTANCE=<OODLE_INSTANCE>"

# Compress the export: prompt payloads are large
export OTEL_EXPORTER_OTLP_COMPRESSION=gzip

Verify

Run your application, then open ap1, us1. Spans carry gen_ai.* attributes: the model, token counts, and the prompt and response content. Click a trace for the Transcript, the waterfall, and the cost breakdown.

If nothing arrives, check that the exporter can reach https://<OTLP_ENDPOINT> and that the instance and key are set: the OTLP gateway answers 401 without them.