pydantic

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by @customware-ai

Instructor：声明 Pydantic BaseModel 即可从 20 个 LLM provider 拿到类型化实例。核心是 monkey-patch（instructor.patch / from_*）拦截 create()，注入 schema-aware kwargs，tenacity 重试 + In...

by @clawhub

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

by @davila7

DSPy：把 LLM 程序写成可组合 Module + 声明式 Signature 的 Python 框架。通过 14 个 teleprompter（optimizer）从 train + dev 集自动编译 prompt 与 few-shot demo。 DSPy: a Python framework for...

by @clawhub