elizaos-plugin-elizacloud

Python implementation of the elizaOS Cloud plugin for multi-model AI generation.

Installation

pip install elizaos-plugin-elizacloud

Usage

import asyncio
from elizaos_plugin_elizacloud import (
    ElizaCloudClient,
    ElizaCloudConfig,
    TextGenerationParams,
    TextEmbeddingParams,
    ImageGenerationParams,
)

async def main():
    # Configure the client
    config = ElizaCloudConfig(
        api_key="eliza_xxxxx",  # Get from https://www.elizacloud.ai/dashboard/api-keys
        base_url="https://www.elizacloud.ai/api/v1",
    )

    async with ElizaCloudClient(config) as client:
        # Text generation
        text = await client.generate_text(
            TextGenerationParams(prompt="What is the meaning of life?"),
            model_size="large",
        )
        print(f"Generated text: {text}")

        # Embeddings
        embedding = await client.generate_embedding(
            TextEmbeddingParams(text="Hello, world!")
        )
        print(f"Embedding dimension: {len(embedding)}")

        # Batch embeddings
        embeddings = await client.generate_embedding(
            TextEmbeddingParams(texts=["Hello", "World", "!"])
        )
        print(f"Batch embeddings: {len(embeddings)}")

        # Image generation
        images = await client.generate_image(
            ImageGenerationParams(
                prompt="A beautiful sunset over the ocean",
                count=1,
                size="1024x1024",
            )
        )
        print(f"Generated image URL: {images[0]}")

asyncio.run(main())

Features

• Text Generation: Small (fast) and large (powerful) model support
• Embeddings: Single and batch text embedding with rate limit handling
• Image Generation: DALL-E style image generation
• Image Description: Vision model for describing images
• Text-to-Speech: Multiple voice options
• Transcription: Whisper-based audio transcription

Configuration

License

MIT