Metadata-Version: 2.4
Name: ai-init
Version: 0.1.2
Summary: A CLI tool to scaffold production-ready AI Agent projects in seconds.
Author-email: mpraes <renan.de.moraes777@gmail.com>
License: MIT License
        
        Copyright (c) 2026 mpraes
        
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License-File: LICENSE
Requires-Python: >=3.10
Requires-Dist: pydantic>=2.0.0
Requires-Dist: questionary>=2.0.0
Requires-Dist: rich>=13.7.0
Requires-Dist: typer>=0.12.0
Provides-Extra: dev
Requires-Dist: black>=24.0.0; extra == 'dev'
Requires-Dist: pytest-cov>=4.1.0; extra == 'dev'
Requires-Dist: pytest>=8.0.0; extra == 'dev'
Requires-Dist: ruff>=0.3.0; extra == 'dev'
Description-Content-Type: text/markdown

# 🚀 ainit

> The fastest way to scaffold ready AI Agent projects.

`ainit` is an interactive CLI tool that bootstraps modular Python projects tailored for AI Agents using **`uv`**, pre-configured for modern LLM frameworks, vector stores, and observability tooling.

## Quick Start

```bash
pipx install ai-init
# or: uv tool install ai-init
ainit my_project

## ✨ Features

- **⚡ Blazing Fast Setup**: Uses [`uv`](https://github.com/astral-sh/uv) under the hood.
- **🤖 Framework Choice**: LangGraph, CrewAI, PydanticAI, AutoGen, or Custom SDKs.
- **⚡ LLM Providers**: OpenAI, Anthropic, Groq, DeepSeek, and Multi-Provider.
- **🗄️ Storage & Vector DBs**: Qdrant, PGVector, Redis, ChromaDB, Neo4j.
- **📊 Observability**: LangSmith, Phoenix, Loguru, OpenTelemetry.
- **🧪 Built-in Smoke Tests**: Included `pytest` suite ready out of the box.

## 📄 License

MIT © mpraes