respan-instrumentation-pydantic-ai

Respan instrumentation plugin for PydanticAI.

This package enables PydanticAI's native OpenTelemetry emission and maps the resulting PydanticAI attributes directly into the Respan/Traceloop conventions used by the OTLP pipeline.

Install

pip install respan-instrumentation-pydantic-ai

Quickstart

import os

from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIModel
from pydantic_ai.providers.openai import OpenAIProvider
from respan import Respan
from respan_instrumentation_pydantic_ai import PydanticAIInstrumentor

respan = Respan(
    api_key=os.environ["RESPAN_API_KEY"],
    instrumentations=[PydanticAIInstrumentor()],
)

agent = Agent(
    OpenAIModel("gpt-4o-mini", provider=OpenAIProvider(api_key=os.environ["OPENAI_API_KEY"]))
)

result = agent.run_sync("Write a one-line haiku about tracing.")
print(result.output)

respan.flush()

Notes

  • By default the instrumentor enables global PydanticAI instrumentation via Agent.instrument_all(...).
  • Pass agent=... to PydanticAIInstrumentor(...) if you only want to instrument one agent instance.
  • The plugin uses explicit InstrumentationSettings(version=5) to keep emitted spans on the current Pydantic AI v2 GenAI semantic conventions.
  • This package does not depend on OpenInference at runtime; it consumes native PydanticAI telemetry directly.

Key dates

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  • Released:
Latest release

Owner

PyPI data
Data sourced directly from PyPI's database.

Credits

Author: Respan

License

Other/Proprietary License (Apache 2.0)

Requires

Python <3.14, >=3.11

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