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A framework for AI engineering

Project description

Aixen: AI x Engineering

PyPI version

An open-source toolkit for the rapid development of AI-powered applications.

Features:

  • Clean Pipelines: Write AI pipelines as simple Python functions for readability and easy team collaboration.
  • Declarative: Use type annotations and Pydantic for function signatures, enabling auto-checks and code generation.
  • Tracking: Track and debug AI runs with statistics, performance evaluation, and API cost tracking. Gather fine-tuning samples.
  • Learnable Functions: (Coming soon) Optimize functions with hyperparameters automatically.

Quick Start

Install using pip:

pip install aixen

Add API keys to the environment or .env file in your working directory:

OPENAI_API_KEY=sk-xxx

A simple pipeline:

import aixen as ai
from pydantic import BaseModel

@ai.fn
def add(a: int, b: int) -> int:
    """
    Adds two numbers
    """
    return a + b


@ai.chat_fn
def factorial(n: int) -> int:
    """
    Calculates the factorial of a number
    """


class GreetingCard(BaseModel):
    text: str
    image_description: str


@ai.chat_fn
def greet(name: str) -> GreetingCard:
    """
    Creates a greeting media message for a person specified by the user.
    """


with ai.Context() as context:
    result = add(a=1, b=2)
    fact5 = factorial(5)
    card = greet(name="Lev")

    print(f"Greeting card: {card}")
    print(f"Used: ${context.usage_cost_usd}")

See the examples folder.

Community and Support

Join our community to stay updated and get support:

If you encounter any issues, please open an issue on GitHub.

Contributing

We welcome contributions from the community!

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