Examples
Examples of how to use PydanticAI and what it can do.
Usage
These examples are distributed with pydantic-ai
so you can run them either by cloning the pydantic-ai repo or by simply installing pydantic-ai
from PyPI with pip
or uv
.
Installing required dependencies
Either way you'll need to install extra dependencies to run some examples, you just need to install the examples
optional dependency group.
If you've installed pydantic-ai
via pip/uv, you can install the extra dependencies with:
pip install 'pydantic-ai[examples]'
uv add 'pydantic-ai[examples]'
If you clone the repo, you should instead use uv sync --extra examples
to install extra dependencies.
Setting model environment variables
These examples will need you to set up authentication with one or more of the LLMs, see the model configuration docs for details on how to do this.
TL;DR: in most cases you'll need to set one of the following environment variables:
export OPENAI_API_KEY=your-api-key
export GEMINI_API_KEY=your-api-key
Running Examples
To run the examples (this will work whether you installed pydantic_ai
, or cloned the repo), run:
python -m pydantic_ai_examples.<example_module_name>
uv run -m pydantic_ai_examples.<example_module_name>
For examples, to run the very simple pydantic_model
example:
python -m pydantic_ai_examples.pydantic_model
uv run -m pydantic_ai_examples.pydantic_model
If you like one-liners and you're using uv, you can run a pydantic-ai example with zero setup:
OPENAI_API_KEY='your-api-key' \
uv run --with 'pydantic-ai[examples]' \
-m pydantic_ai_examples.pydantic_model
You'll probably want to edit examples in addition to just running them. You can copy the examples to a new directory with:
python -m pydantic_ai_examples --copy-to examples/
uv run -m pydantic_ai_examples --copy-to examples/