Metadata-Version: 2.4
Name: omnigenai
Version: 0.1.1
Summary: A comprehensive, zero-dependency framework for Generative AI and Agentic AI
Home-page: https://github.com/pearlraja30/omnigenai
Author: OmniGenAI Team
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: rag
Requires-Dist: sentence-transformers; extra == "rag"
Provides-Extra: vision
Requires-Dist: pillow; extra == "vision"
Provides-Extra: all
Requires-Dist: sentence-transformers; extra == "all"
Requires-Dist: pillow; extra == "all"
Requires-Dist: numpy; extra == "all"
Requires-Dist: torch; extra == "all"
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: provides-extra
Dynamic: requires-python
Dynamic: summary

# OmniGenAI

A lightweight, provider-agnostic Python framework for Generative AI and Agentic AI.

- **Zero-dependency core**
- **Tool calling and memory management**
- **Provider adapters for OpenAI, Anthropic, Groq, Ollama**
- **RAG and workflow support**

## Install
```bash
pip install omnigenai
```

## Quick start
```python
import os
from omnigenai import OmniAgent, tool, OpenAIProvider
from openai import OpenAI

@tool
def get_weather(location: str) -> str:
    return f"Weather in {location} is 72°F and sunny."

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
provider = OpenAIProvider(client)
agent = OmniAgent(provider=provider, model="gpt-4", tools=[get_weather])
print(agent.run("What is the weather in Tokyo?"))
```
