Pydantic

Pydantic Performance: 4 Tips about Easy methods to Validate Large Amounts of Data Efficiently

are really easy to make use of that it’s also easy to make use of them the fallacious way, like holding a hammer by the pinnacle. The identical is true for Pydantic, a...

Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

exploring features within the OpenAI Agents SDK framework, there’s one capability that deserves a better look: input and output guardrails. In previous articles, we built our first agent with an API-calling tool after which...

Applied Python Chronicles: A Gentle Intro to Pydantic

What about default values and argument extractions?from pydantic import validate_call@validate_call(validate_return=True)def add(*args: int, a: int, b: int = 4) -> int:return str(sum(args) + a + b)# ----add(4,3,4)> ValidationError: 1 validation error for addaMissing required keyword...

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