---
name: "Constrain agent outputs with Outlines structured generation"
slug: "constrain-agent-outputs-with-outlines-structured-generation"
description: "Force LLM outputs into typed schemas, enums, JSON-like structures, and routing records during generation instead of repairing malformed text afterward."
github_stars: 13923
verification: "security_reviewed"
source: "https://github.com/dottxt-ai/outlines"
author: ".txt"
publisher_type: "organization"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "dottxt-ai/outlines"
  github_stars: 13923
---

# Constrain agent outputs with Outlines structured generation

Force LLM outputs into typed schemas, enums, JSON-like structures, and routing records during generation instead of repairing malformed text afterward.

## Prerequisites

Python, Outlines, supported LLM runtime or provider, schema definitions

## Installation

Use the upstream install or setup path that matches your environment:
- pip install outlines

Requirements and caveats from upstream:
- Outlines follows a simple pattern that mirrors Python's own type system. Simply specify the desired output type, and Outlines will ensure your data matches that structure exactly:
- python
- | **Custome types** | Intuitive interface to build complex types | [Python Types Guide →](https://dottxt-ai.github.io/outlines/latest/features/core/output_types/#basic-python-types) |

Basic usage or getting-started notes:
- import outlines
- from transformers import AutoTokenizer, AutoModelForCausalLM
- MODEL_NAME = "microsoft/Phi-3-mini-4k-instruct"

- Source: https://github.com/dottxt-ai/outlines
- Extracted from upstream docs: https://raw.githubusercontent.com/dottxt-ai/outlines/HEAD/README.md

## Documentation

- https://dottxt-ai.github.io/outlines/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/constrain-agent-outputs-with-outlines-structured-generation/)