Pydantic AI

Automatically capture agent runs, LLM calls, and tool invocations within the Pydantic AI framework via its native OpenTelemetry instrumentation.

Setup

Python

import traceroot
from traceroot import Integration

traceroot.initialize(integrations=[Integration.PYDANTIC_AI])

Usage

Once initialized, all Pydantic AI agent runs and tool invocations are captured automatically:

import traceroot
from traceroot import Integration
from pydantic_ai import Agent

traceroot.initialize(integrations=[Integration.PYDANTIC_AI])

agent = Agent(
    "openai:gpt-4o-mini",
    system_prompt="You are a helpful assistant.",
)

result = agent.run_sync("What is the capital of France?")
print(result.output)

traceroot.flush()

What Gets Captured

Attribute	Description
Agent runs	Each `agent.run()` / `agent.run_sync()` / `agent.run_stream()` invocation
Tool calls	Each tool invocation with input arguments and results
LLM calls	Raw completion requests with input messages, output messages, and model name
Tokens & Cost	Input and output token counts per LLM call; cost calculated from model pricing
Cache tokens	Cache read and write token counts when reported by the provider
Latency	Duration per agent run and per span

Run the example

Clone the repo and run a complete agent end-to-end.

Python

Run the Python example

OpenAI Agents SDK Vercel AI SDK

⌘I

Overview

Native

Frameworks

Model Providers

Internal Model Providers

Setup

Usage

What Gets Captured

Run the example

Python

​Setup

​Usage

​What Gets Captured

​Run the example

Python

Setup

Usage

What Gets Captured

Run the example