Simple wrappers for various AI APIs including LLMs, ASR, and TTS
Project description
wraipperz (WIP - agent generated)
Simple wrappers for various AI APIs including LLMs, ASR, and TTS.
Installation
pip install wraipperz
uv add wraipperz
Features
- LLM API Wrappers: Unified interface for OpenAI, Anthropic, Google, and other LLM providers
- ASR (Automatic Speech Recognition): Convert speech to text
- TTS (Text-to-Speech): Convert text to speech
- Async Support: Asynchronous API calls for improved performance
Quick Start
import os
from wraipperz import call_ai, MessageBuilder
os.environ["OPENAI_API_KEY"] = "your_openai_key" # if not defined in environment variables
messages = MessageBuilder().add_system("You are a helpful assistant.").add_user("What's 1+1?")
# Call an LLM with a simple interface
response, cost = call_ai(
model="openai/gpt-4o",
messages=messages
)
Environment Variables
Set up your API keys in environment variables to enable providers.
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key
GOOGLE_API_KEY=your_google_key
# ... todo add all
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Project details
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