Exam: Structured Output with Pydantic

This repository contains a small CLI tool that demonstrates how to extract structured data from raw text using LangChain and Pydantic.

Features

• Two Pydantic models: PersonInfo and MeetingNotes.
• Automatic schema selection based on input type.
• One‑shot extraction via LangChain’s PydanticOutputParser.
• Simple command line interface with example texts.

Usage

python -m cli --text "Анна, 28 лет, Python-разработчик. Навыки: FastAPI, Docker."

or

python -m cli --text "Встреча 2026-05-30: Участники: А., Б.; Темы: проект X; Решения: продлить срок." 

Requirements

• Python 3.10+
• langchain-core, langchain-openai (or langchain-ollama) and pydantic.

pip install -r requirements.txt