How to Get Structured Output from LLMs Applications Using Pydantic and Instrutor

This project demonstrates how to obtain consistent, structured output from Large Language Models (LLMs) using Pydantic and Instructor libraries. The example provided extracts key details from a software engineer's resume in PDF format and outputs the data in a structured JSON format.

Installation

Prerequisites

• Python 3.x
• API Key for Anthropic API

Setup

1. Clone the repository:

git clone https://github.com/paquino11/output-structure-llm
cd output-structure-llm

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate

3. Install the required packages:

pip install -r requirements.txt

4. Set up the environment variables:

• Create a .env file and add the following:

ANTHROPIC_API_KEY=your_anthropic_api_key

Usage

1. Ensure you have a resume.pdf file in the root directory of the project.
2. Run the script:

python3 output_structure.py

3. Check the output in the resume.json file.