A modern AI product often needs more than chat completions. It may need a text model for reasoning, an embedding model for retrieval, an image model for assets, a video model for generation, an audio model for voice, and a rerank model for search quality.

ModAPI acts as a multimodal AI gateway for these workflows. The goal is simple: give developers one place to access multiple model families and multiple modalities without turning every feature into a separate provider integration.

More than text generation

Multimodal AI access usually includes:

  • Text and reasoning.
  • Image generation and editing.
  • Video generation and task-based creative APIs.
  • Audio, speech, and transcription workflows.
  • Embeddings for retrieval and semantic search.
  • Reranking for better search results.
  • Realtime endpoints for interactive experiences.

Why task-based APIs matter

Image, video, music, and creative generation APIs often work differently from normal chat APIs. They may create asynchronous tasks, require polling, return generated media later, or expose provider-specific workflow actions.

That is why a gateway built only around chat completions is not enough for many multimodal products. ModAPI is designed to support both familiar LLM workflows and task-style APIs used by creative and media models.

Developer benefit

For developers, the advantage is less glue code. A team can explore more model types, keep a consistent account and key-management flow, and build multimodal features without treating every provider as a new infrastructure project.