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@@ -6,13 +6,10 @@ _Pythonic Structured Outputs powered by LLM function calling and tool calling AP
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[Star us on Github!](https://www.github.com/jxnl/instructor)
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[](https://pydantic.dev)
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[](https://pypi.python.org/pypi/instructor)
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[](https://github.com/jxnl/instructor/stargazers)
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[](https://jxnl.github.io/instructor)
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[](https://twitter.com/jxnlco)
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[](https://pypi.python.org/pypi/instructor)
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[](https://jxnl.github.io/instructor)
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[](https://coveralls.io/github/jxnl/instructor?branch=add-coveralls)
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[](https://jxnl.github.io/instructor/blog/)
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[](https://discord.gg/CV8sPM5k5Y)
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Dive into the world of Python-based structured extraction, empowered by OpenAI's cutting-edge function calling API. Instructor stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and its results insightful.
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