---
title: "Discussion on \"Taming LLM Responses: Dynamic Pydantic Models for Flexible Structured Output\" | Hashnode"
description: "Discussion on \"Taming LLM Responses: Dynamic Pydantic Models for Flexible Structured Output\". As developers working with Large Language Models (LLMs), we often grapple with the challenge of constraining their outputs to meet our specific needs. In this post, I will share a technique I developed to enforce structured responses from LLMs, parti..."
url: "https://hashnode.com/posts/taming-llm-responses-dynamic-pydantic-models-for-flexible-structured-output/66d25a08fac976b81f12d073"
---

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# [Taming LLM Responses: Dynamic Pydantic Models for Flexible Structured Output](https://engineering.fractional.ai/taming-llm-responses-dynamic-pydantic-models-for-flexible-structured-output?utm_source=hashnode&utm_medium=feed)

As developers working with Large Language Models (LLMs), we often grapple with the challenge of constraining their outputs to meet our specific needs. In this post, I will share a technique I developed to enforce structured responses from LLMs, parti...

Aug 30, 2024 · 3 min read · engineering.fractional.ai  
Updated Nov 5, 2024  
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[Dan Girellini](https://hashnode.com/@dangit)

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