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Build AI Apps Fast

Project description

CyberChipped

PyPI - Version GitHub Workflow Status (with event) Codecov

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Introduction

CyberChipped enables building powerful AI apps fast by providing three core abstractions.

These abstractions are the OpenAI Assistant, AI Function, and AI Model.

The key selling point of this library is to build an OpenAI Assistant in two lines of code!

CyberChipped powers the most feature-rich AI Companion - CometHeart!

Install

pip install cyberchipped

Setup

Create a .env file in your project root with this key in it:

OPENAI_API_KEY=YOUR_OPENAI_API_KEY

Abstractions

OpenAI Assistant

from cyberchipped.assistants import Assistant


with Assistant() as ai:
    print(ai.say("Hello World!"))
    # prints: "Hello there! How can I assist you today?"

AI Function

from cyberchipped import ai_fn

@ai_fn
def echo(text: str) -> str:
    """You return `text`."""

print(echo("Hello World!"))
# prints: "Hello World!"

AI Model

from cyberchipped import ai_model
from pydantic import BaseModel, Field

@ai_model
class Planet(BaseModel):
    """Planet Attributes"""
    name: str = Field(..., description="The name of the planet.")

planet = Planet("Mars is a great place to visit!")
print(planet.name)
# prints: "Mars"

Database

CyberChipped requires a database to track and manage OpenAI Assistant threads across runs.

SQLite (default)

Will be saved in your local working directory (where you code is located) and be called cyberchipped.db. Unless you use MongoDB.

MongoDB

Set the following env vars in your .env file:

MONGO_URL=YOUR_MONGO_URL
MONGO_DB=YOUR_DATABASE_NAME
MONGO_COLLECTION=YOUR_COLLECTION_NAME

Source

This is a hard fork of Marvin pre-release

Platform Support

Mac and Linux

Requirements

Python >= 3.11

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