ChainHub provides a unified API interface for accessing multiple AI models through a single integration point. This documentation covers setup, available modalities, and integration procedures.
Overview#
ChainHub aggregates 500+ AI models across multiple providers (OpenAI, Anthropic, Google, etc.) into a standardized API interface. Key features:Unified API: Single endpoint structure for multiple providers
Model Coverage: Text generation, image synthesis, video generation, and audio processing
Provider Switching: Change models without modifying integration code
Credit System: Single balance for all API calls across providers
Getting Started#
1. Dashboard Access#
Monitor usage metrics (token consumption, request success rates, costs)
2. Billing#
Pay-per-use credit system
Throughput limits scale with usage
Free credits provided for new accounts
API Modalities#
Text Generation#
Endpoint: /v1/chat/completionsSupported providers: OpenAI, Anthropic, Google, DeepSeek, LlamaImage Generation#
Generate and edit images using Midjourney v6, DALL-E 3, and Flux Pro.Optional: Use X-ChainHub-Enhance-Prompt header for automated prompt optimization.Video Generation#
Access video generation models including Kling and Sora.Audio Processing#
Text-to-speech (multiple providers)
Integration#
ChainHub implements OpenAI-compatible API format. Existing OpenAI SDK integrations require only base URL and API key changes.Python Example#
Production Recommendations#
High Availability#
Implement fallback logic to switch between models if a provider experiences downtime:Security#
Store API keys in environment variables
Use separate keys for development, staging, and production environments
Version Management#
Use model aliases (e.g., gpt-4-latest) to automatically receive updated model versions without code changes. Modified at 2026-02-09 07:38:43