Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →dougtrajano/pydanticai-docs
Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining structured outputs with Pydantic models, wiring up tools/function calling, configuring model providers (OpenAI, Anthropic, Gemini, etc.), managing dependencies via agent context, handling streaming responses, or debugging agent runs. Trigger this skill even for adjacent tasks like "how do I make my agent return JSON", "set up a multi-step agent", "add a tool to my agent", or "valid
Passed 17 of 23 test cases with the skill, and 2 of 23 without it.
and 27 more in the full report
17 fixed1 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Where in the Pydantic AI documentation can I find setup instructions specifically for configuring Anthropic models?
| Checked | Without skill | With skill |
|---|---|---|
| Must direct the user to the specific Anthropic provider documentation URL https://ai.pydantic.dev/models/anthropic/index.md rather than the generic models overview. | Missed | Passed |
The instructions your model reads when the skill loads.
Pydantic AI is a production-grade Python agent framework for building type-safe, dependency-injected Generative AI applications. It supports multiple LLM providers, structured outputs via Pydantic models, and composable multi-agent patterns.
from pydantic_ai import Agent
agent = Agent(
'openai:gpt-4o', # model string: provider:model-name
system_prompt='Be helpful.',
)
result = agent.run_sync('What is the capital of France?')
print(result.output)
For full constructor parameters, run methods, and streaming: load references/AGENT.md.
@agent.tool)from pydantic_ai import Agent, RunContext
agent = Agent('openai:gpt-4o', deps_type=str)
@agent.tool
def get_user_name(ctx: RunContext[str]) -> str:
"""Return the current user's name."""
return ctx.deps
result = agent.run_sync('What is my name?', deps='Alice')
test cases passed, vs 2 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.