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guidesMarch 8, 2026· 4 min read

Cache Pydantic AI in your SQL generation tool with Crowkis

Building SQL generation tools on Pydantic AI? Add a semantic cache so the same schema questions and query shapes stop costing full price.

SQL generation tools built on Pydantic AI share one problem: the same schema questions and query shapes. Each repeat is a full-price Pydantic AI call for an answer you already have.

Put a semantic cache in front. Point Pydantic AI's base URL at the Crowkis OpenAI-compatible gateway, or wrap the call in get-or-compute, and reworded repeats are served from cache, no rewrite of your SQL generation tools logic.

Pydantic AI + Crowkis
base_url = "http://127.0.0.1:6380/v1"   # Crowkis gateway, semantic cache in front
In plain words: The SQL generation tools keep working exactly as before; the repeats just stop hitting the model.

On repetitive traffic this cuts costs up to 60-70% on repetitive workloads, and every hit carries a confidence score so reuse stays safe. It's one self-hosted binary, Redis-compatible, free to run.