elizaos-plugin-vercel-ai-gateway 2.0.0a4

elizaOS Vercel AI Gateway Plugin - AI Gateway integration for text, embeddings, and images

elizaOS Vercel AI Gateway Plugin (Python)

Python implementation of the Vercel AI Gateway plugin for elizaOS.

Features

• Text Generation: TEXT_SMALL, TEXT_LARGE chat completions
• Embeddings: Vector embeddings generation
• Images: Image generation and description
• Structured Output: JSON object generation
• Streaming: Real-time streaming support

Installation

pip install elizaos-plugin-gateway

Quick Start

import asyncio
from elizaos_plugin_gateway import GatewayPlugin

async def main():
    async with GatewayPlugin() as plugin:
        # Text generation
        response = await plugin.generate_text_large("What is quantum computing?")
        print(response)

        # Embeddings
        embedding = await plugin.create_embedding("Hello, world!")
        print(f"Embedding dimensions: {len(embedding)}")

asyncio.run(main())

Configuration

Set environment variables:

# Required - one of:
export AI_GATEWAY_API_KEY="your-api-key"
export AIGATEWAY_API_KEY="your-api-key"
export VERCEL_OIDC_TOKEN="your-oidc-token"

# Optional
export AI_GATEWAY_BASE_URL="https://ai-gateway.vercel.sh/v1"
export AI_GATEWAY_SMALL_MODEL="gpt-5-mini"
export AI_GATEWAY_LARGE_MODEL="gpt-5"
export AI_GATEWAY_EMBEDDING_MODEL="text-embedding-3-small"

elizaOS Integration

from elizaos_plugin_gateway import get_gateway_plugin

# Get the singleton plugin instance
plugin = get_gateway_plugin()

# Use with AgentRuntime
runtime = AgentRuntime(plugins=[plugin])

API Reference

GatewayPlugin

Text Generation

await plugin.generate_text_small(prompt, system=None, max_tokens=None)
await plugin.generate_text_large(prompt, system=None, max_tokens=None)
await plugin.stream_text(prompt, model=None, system=None)

Embeddings

await plugin.create_embedding(text)

Images

await plugin.generate_image(prompt, n=1, size="1024x1024", quality="standard", style="vivid")
await plugin.describe_image(image_url, prompt=None, max_tokens=8192)

Structured Output

await plugin.generate_object(prompt, model=None, temperature=None)

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Type checking
mypy elizaos_plugin_gateway

# Linting
ruff check .
ruff format .

License

MIT