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SQL Generation

Example demonstrating how to use Pydantic AI to generate SQL queries based on user input.

Demonstrates:

Running the Example

The resulting SQL is validated by running it as an EXPLAIN query on PostgreSQL. To run the example, you first need to run PostgreSQL, e.g. via Docker:

docker run --rm -e POSTGRES_PASSWORD=postgres -p 54320:5432 postgres

(we run postgres on port 54320 to avoid conflicts with any other postgres instances you may have running)

With dependencies installed and environment variables set, run:

python/uv-run -m pydantic_ai_examples.sql_gen

or to use a custom prompt:

python/uv-run -m pydantic_ai_examples.sql_gen "find me errors"

This model uses gemini-3-flash-preview by default since Gemini is good at single shot queries of this kind.

Example Code

snippet {path="/examples/pydantic_ai_examples/sql_gen.py"}