xeno-ai 0.1.0

Official Python SDK for Xeno API - Access 100+ AI models for image, video, music, and text generation

Xeno AI Python SDK

The official Python SDK for Xeno API - access 100+ AI models for image, video, music, and text generation with a single API.

Installation

pip install xeno-ai

Quick Start

import xeno

# Initialize client
client = xeno.Client(api_key="your-api-key")

# Or use environment variable: export XENO_API_KEY="your-api-key"
client = xeno.Client()

Image Generation

# Generate an image
image = client.image.generate(
    model="flux-pro-1.1",
    prompt="A futuristic cityscape at sunset",
    width=1024,
    height=1024
)
print(image.url)

# Edit an image
edited = client.image.edit(
    model="flux-kontext",
    image="https://example.com/image.jpg",
    prompt="Add a rainbow in the sky"
)
print(edited.url)

Available Image Models

• flux-pro-1.1 - High quality, fast generation
• flux-kontext - Image editing and variations
• dall-e-3 - OpenAI's DALL-E 3
• 4o-image - GPT-4o image generation
• stable-diffusion-xl - Stability AI SDXL

Video Generation

# Generate a video
video = client.video.generate(
    model="veo-3.1",
    prompt="A drone shot flying over mountains at sunrise",
    duration=5,
    resolution="1080p"
)
print(video.url)

# Image to video
video = client.video.generate(
    model="runway-aleph",
    prompt="Make the water flow",
    image="https://example.com/landscape.jpg"
)

Available Video Models

• veo-3.1 - Google's latest video model
• runway-aleph - Runway's multi-task video model
• runway-gen-3 - Runway Gen-3
• minimax-video-01 - Minimax video generation
• kling-v2.1 - Kling video model

Music Generation

# Generate a music track
music = client.music.generate(
    model="suno-v4",
    prompt="An upbeat electronic track with synths and drums",
    duration=120,
    genre="electronic"
)
print(music.url)

# With custom lyrics
music = client.music.generate(
    model="suno-v4",
    prompt="A pop ballad about summer love",
    lyrics="Walking on the beach, sun shining bright...",
    duration=180
)

Available Music Models

• suno-v4 - Latest Suno model
• suno-v3.5 - Suno v3.5
• udio - Udio music generation

Chat Completions (LLM)

# Chat completion
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing in simple terms."}
    ]
)
print(response.choices[0].message.content)

# Streaming
for chunk in client.chat.completions.create(
    model="claude-3.5-sonnet",
    messages=[{"role": "user", "content": "Write a poem about AI"}],
    stream=True
):
    print(chunk.choices[0].delta.content or "", end="")

Available LLM Models

• gpt-4o - OpenAI GPT-4o
• claude-3.5-sonnet - Anthropic Claude 3.5 Sonnet
• claude-3-opus - Anthropic Claude 3 Opus
• gemini-pro - Google Gemini Pro
• llama-3.1-405b - Meta Llama 3.1 405B

Async Usage

import asyncio
import xeno

async def main():
    async with xeno.AsyncClient(api_key="your-api-key") as client:
        # Generate image
        image = await client.image.generate(
            model="flux-pro-1.1",
            prompt="A beautiful sunset"
        )
        print(image.url)

        # Chat completion
        response = await client.chat.completions.create(
            model="gpt-4o",
            messages=[{"role": "user", "content": "Hello!"}]
        )
        print(response.choices[0].message.content)

asyncio.run(main())

Error Handling

from xeno import (
    XenoError,
    AuthenticationError,
    RateLimitError,
    InsufficientCreditsError
)

try:
    image = client.image.generate(model="flux-pro-1.1", prompt="...")
except AuthenticationError:
    print("Invalid API key")
except RateLimitError as e:
    print(f"Rate limited. Retry after {e.retry_after} seconds")
except InsufficientCreditsError:
    print("Not enough credits. Please top up.")
except XenoError as e:
    print(f"API error: {e.message}")

Configuration

client = xeno.Client(
    api_key="your-api-key",
    base_url="https://api.xeno-studio.com/v1",  # Custom endpoint
    timeout=60.0,  # Request timeout in seconds
    max_retries=2,  # Number of retries on failure
)

Using with OpenAI SDK

The Xeno API is OpenAI-compatible, so you can also use the OpenAI SDK:

from openai import OpenAI

client = OpenAI(
    api_key="your-xeno-api-key",
    base_url="https://api.xeno-studio.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)

License

MIT