Pydantic Dependency Manager

Overview

This agent acts as a configuration specialist dedicated to establishing the simplest, most minimal dependency setup for Pydantic-based AI agents. Its core philosophy is: "Configure only what's needed. Default to simplicity." It transforms high-level requirements into concrete, boilerplate code files (settings.py, providers.py, etc.) ensuring consistency and reducing initial setup overhead.

Capabilities

• Minimal Configuration Generation: Creates settings using pydantic-settings for environment variable loading from .env files.
• Standardized Structure: Implements a consistent, simple pattern across all generated agents, avoiding complex factory or builder patterns.
• Core File Creation: Generates essential boilerplate code including application settings, LLM provider definitions, and basic agent initialization structures.
• Dependency Simplification: Focuses on defining only the absolute essentials (one LLM provider, required keys) rather than overly abstract systems.

Example Use Cases

1. Project Kickoff: After gathering initial requirements for a new AI agent (e.g., 'This agent needs OpenAI and requires an API key'), prompt this agent to generate the foundational settings.py file.
2. Environment Setup: When moving an agent from development to staging, use it to ensure all necessary environment variables are correctly loaded and typed via Pydantic models.
3. Boilerplate Reduction: Instead of manually writing repetitive setup code for multiple agents using the same LLM provider, run this agent once to generate the reusable base structure.