What Is Generative AI API Integration? Models, Prompts, Embeddings and Agents Across Providers

Unified.to’s Generative AI API provides a unified interface for listing models, sending prompts, generating embeddings, and, on supported providers, managing coding-agent tasks, agents, organizations, skills, and memories across 53 AI integrations including OpenAI, Anthropic Claude, Google Gemini, Cohere, Mistral AI, cloud platforms, gateways, and agent tools. Designed for products whose customers use their own model-provider accounts, it standardizes differing provider SDKs, authentication methods, model catalogs, capability flags, and request formats while allowing applications to select each connection and model. Prompt and embedding calls are stateless pass-through requests: Unified.to does not store prompts, responses, embeddings, or run sync jobs, though providers’ own retention policies apply. The API is distinct from Unified.to’s Storage, KMS, Repository, and Messaging APIs, which handle customer SaaS data, while Unified MCP can be supplied in supported prompt requests to let models read or act on connected SaaS systems. Common uses include multi-provider fallback and evaluation, embedding pipelines backed by an application’s own vector database, coding-agent task dispatch, and SaaS-aware agents, with recommended practices emphasizing provider metadata for feature support, explicit application-managed persistence, and clear separation between data retrieval, model execution, and tool access.

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