eyai 1.0.3

A simple and intuitive wrapper around OpenAI Compatible APIs with tool support

EYAI

A simple and intuitive wrapper around OpenAI compatible APIs with built-in tool support.

Features

• Easy-to-use AI assistant with conversation memory
• Simple tool/function calling with decorators
• Automatic conversation history management
• Save and load conversations
• Support for multiple AI providers (OpenAI, Groq, etc.)
• Configurable model parameters

Installation

pip install eyai

Quick Start

from eyai import Assistant

assistant = Assistant(api_key="your-api-key-here")

# Simple chat
response = assistant.chat("Hello! What's the weather like?")
print(response)

# With tools
@assistant.tool("Get the current weather for a city")
def get_weather(city: str) -> str:
    # Your weather API logic here
    return f"The weather in {city} is sunny and 72°F"

# The AI can now call your function
response = assistant.chat("What's the weather in New York?")
print(response)  # AI will call get_weather("New York") and respond

Advanced Usage

Using with Groq

from eyai import Assistant

assistant = Assistant(
    api_key="your-groq-api-key",
    base_url="https://api.groq.com/openai/v1",
    model="llama-3.3-70b-versatile"
)

Multiple Tools

@assistant.tool("Calculate the sum of two numbers")
def add(x: int, y: int) -> int:
    return x + y

@assistant.tool("Get user information from database")
def get_user(user_id: str) -> dict:
    # Your database logic here
    return {"id": user_id, "name": "John Doe"}

response = assistant.chat("Add 5 and 3, then get user info for user123")

Conversation Management

# Get conversation history
history = assistant.get_conversation_history()

# Clear conversation (keeps system prompt)
assistant.clear_conversation()

# Save conversation
assistant.save_conversation("chat_history.json")

# Load conversation
assistant.load_conversation("chat_history.json")

API Reference

Assistant

Assistant(
    api_key: str,
    base_url: str,
    model: str,
    system_prompt: str = "You are a helpful AI assistant.",
    temperature: float = 0.7,
    max_tokens: Optional[int] = None
)

Methods

• chat(message: str) -> str: Send a message and get a response
• tool(description: str = ""): Decorator to register functions as tools
• get_conversation_history() -> List[Dict[str, Any]]: Get conversation history
• clear_conversation(): Clear conversation history
• save_conversation(filename: str): Save conversation to JSON file
• load_conversation(filename: str): Load conversation from JSON file

Requirements

• Python 3.8+

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.