wraipperz 0.1.7

Simple wrappers for various AI APIs including LLMs, ASR, and TTS

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

LLM

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
)

TTS

from wraipperz.api.tts import create_tts_manager

tts_manager = create_tts_manager()

# Generate speech using OpenAI Realtime TTS
response = tts_manager.generate_speech(
    "openai_realtime",
    text="This is a demonstration of my voice capabilities!",
    output_path="realtime_output.mp3",
    voice="ballad",
    context="Speak in a extremelly calm, soft, and relaxed voice.",
    return_alignment=True,
    speed=1.1,
)

# Convert speech using ElevenLabs
# TODO add example

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.