GenAI API
The Unified Generative AI API enables developers and product managers to access AI capabilities from multiple platforms through a single, standardized interface. Work with AI models, generate embeddings, and manage prompts across OpenAI, Anthropic, Google AI, and other major AI platforms - all with one API.
What is the Unified Generative AI API?
AI platforms like OpenAI, Anthropic, and Google AI each have unique APIs with different authentication methods and data models. The Unified Generative AI API normalizes these differences, allowing you to build once and support all major AI platforms without maintaining separate integrations.
Generative AI Data Objects
The Generative AI API provides access to the following standardized objects:
- Embeddings: Text embeddings and vector representations
- Models: AI models, capabilities, and model information
- Prompts: Prompt templates, configurations, and prompt management
Common Use Cases
Multi-Model AI Applications
Build AI applications that work with multiple AI providers. Switch between OpenAI, Anthropic, or other models without rewriting integration code, enabling fallback strategies and cost optimization.
AI Model Comparison
Create tools that compare outputs from different AI models. Test the same prompt across multiple providers to evaluate quality, cost, and performance.
Embedding Generation
Generate text embeddings using different AI platforms. Build vector search, semantic similarity, or RAG (Retrieval Augmented Generation) applications that work with any embedding provider.
Prompt Management Tools
Develop prompt management and testing tools that work across AI platforms. Store, version, and test prompts with different models to optimize AI application performance.
AI Cost Optimization
Build tools that route AI requests to different providers based on cost, availability, or performance. Implement intelligent load balancing across multiple AI platforms.
