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Pydantic
@pydantic
Sep 23
One Jev request, three scores: a policy label, a rubric level, and the probability the reply asks for a password, all recorded in Logfire. Modeled cost of 1M evaluated replies: $62, vs $4,542 with Braintrust before data charges. Blogpost
Cheap AI scoring with Jev and Pydantic Evals
From pydantic.dev
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Pydantic
@pydantic
Oct 10
Pydantic AI now turns on prompt caching with one capability. Anthropic and Bedrock cache nothing unless the request asks. The Caching capability asks for you: tool definitions, instructions and the conversation, one setting instead of each provider's. pydantic.io/uJC8d
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Pydantic
@pydantic
Oct 8
Pydantic team is cooking 🏁
Adrian
@adriangb01
Oct 8
We've made queries 3x faster since July, and we didn't even need to come up with 2 fancy new names for a Tantivy index!
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Pydantic
@pydantic
Oct 8
I have no idea. think of something cool.
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Pydantic
@pydantic
Oct 8
🚀 Pydantic Validation v2.14 is out, with Python 3.15 support. Stabilized MISSING, lazy imports, TypeForm for TypeAdapter, frozendict, more types validating natively in pydantic-core, and create_model namespace. 👉️ Full details on what changed:
Pydantic v2.14: Python 3.15 Support, Lazy Imports, TypeForm & More
From pydantic.dev

Pydantic