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Overview
Pydantic is the AI engineering stack for teams building with AI. Observe with Logfire, evaluate with Evals, build type-safe agents with Pydantic AI, and track costs with AI Gateway.
News
Hack Monty Round 3 & Round 2 results
Remember that prison break movie where they don't escape? Nope, me neither - it doesn't exist. Escape dramas with no escapes are boring. Hack Monty Round 2 was very boring: no one escaped the sandbox or found any vulnerabilities (although a few people pro
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Snowflake + Pydantic AI: governed agents on your data
This is a guest post written by Priya Joseph, Sr. Data Cloud Architect at Snowflake. Co-authored by Douwe Maan, lead developer of Pydantic AI. Pydantic AI now has a native Snowflake provider, with the addition of SnowflakeModel and SnowflakeProvider. User
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Monty, rebuilt as a Bazel remote build. No fork.
Bazelizing pydantic/monty (a Python interpreter in Rust) without a fork: pinned upstream archive, rules_rust overlay, and a measured remote-cache proof - 121.1s cold, 15.7s fully cached, all 432 executable actions served from cache.
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GitHub - pydantic/httpx2: A next generation HTTP client for Python.
A next generation HTTP client for Python. . Contribute to pydantic/httpx2 development by creating an account on GitHub.
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Treat the Context Window as a Data Assembly Problem - Pydantic-resolve
LLM context assembly is a data assembly problem, not a prompt-engineering problem. pydantic-resolve
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