hiapi - One API, All AI Models

What

HiAPI is a unified API gateway for AI image, video, and audio generation models. It is aimed at developers and AI-agent builders who want one task-based interface, persistent output links, and model access across multiple providers without building separate storage and workflow handling for each model. The product appears positioned as infrastructure for production generation workloads and agent-friendly automation.

Features

• Unified task API: One endpoint and one general request lifecycle cover image, video, and audio generation, which reduces model-specific orchestration work.
• Persistent artifact storage: Outputs can be returned as durable links when storage is set to persistent, avoiding separate storage setup for generated files.
• Async job handling with callbacks: Tasks support status checks and completion callbacks, which is useful for long-running media generation workflows.
• Model access through a single schema pattern: Developers pass a model name and validated input through the same API shape, simplifying multi-model experimentation and routing.
• Agent-oriented access paths: MCP, Skills, and llms.txt are provided to help AI agents discover and use HiAPI workflows in a standardized way.

Helpful Tips

• Check model-specific parameter differences before standardizing workflows; the site notes a unified API, but some models still require different payload structures.
• Use persistent storage and callbacks for video or other long-running jobs to reduce polling overhead and simplify downstream asset handling.
• Compare routes such as default, beta, and ext carefully because routing is presented as a way to balance availability and cost.
• Validate pricing on each model page before launch; HiAPI emphasizes transparent per-model pricing, but costs vary meaningfully by model and output type.

OpenClaw Skills

HiAPI is a strong fit for OpenClaw workflows that need a single media-generation backend for agents. Likely use cases include an OpenClaw skill for prompt-to-image or prompt-to-video generation, a review-and-approve workflow that waits on callbacks and then routes persistent asset links to downstream steps, and a model-selection agent that chooses among image, video, or audio options based on job type and budget. The page mentions agent-friendly interfaces such as MCP, Skills, and llms.txt, but does not confirm a native OpenClaw integration, so this is best treated as a plausible orchestration layer for creative automation, media ops, or AI product teams.