A framework for AI engineering
Project description
Aixen: AI x Engineering
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!
Project details
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