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Galileo supports logging traces from Pydantic AI applications using OpenTelemetry.

Set up OpenTelemetry

To log Pydantic AI applications using Galileo, the first step is to set up OpenTelemetry.
1

Install the required packages

Add the Galileo Python SDK and Pydantic AI to your Python environment.
2

Create environment variables for your Galileo settings

Set environment variables for your Galileo settings, for example in a .env file:
3

Get your endpoint

The OTel endpoint is different from Galileo’s regular API endpoint and is specifically designed to receive telemetry data in the OTLP format.If you are using:
  • Galileo Cloud at app.galileo.ai, then you don’t need to provide a custom OTel endpoint. The default endpoint https://api.galileo.ai/otel/traces will be used automatically.
  • A self-hosted Galileo deployment, replace the https://api.galileo.ai/otel/traces endpoint with your deployment URL. The format of this URL is based on your console URL, replacing console with api and appending /otel/traces.
For example:
  • if your console URL is https://console.galileo.example.com, the OTel endpoint would be https://api.galileo.example.com/otel/traces
  • if your console URL is https://console-galileo.apps.mycompany.com, the OTel endpoint would be https://api-galileo.apps.mycompany.com/otel/traces
4

Configure the OpenTelemetry tracer provider

Use the following code to configure OpenTelemetry with Galileo. This sets up the tracer provider and enables instrumentation for all Pydantic AI agents.
Python

What gets logged

Pydantic AI spans are automatically detected and normalized by Galileo’s OpenTelemetry extension. The following span types are supported:
  • Agent runs: Complete agent executions with input/output messages
  • Chat completions: LLM calls with messages and responses
  • Tool executions: Individual tool invocations with arguments and results
  • Tool workflows: Parent spans that group multiple tool executions
For a complete working example, see the Galileo SDK examples repository.