HiAPI
HiAPI
HiAPI provides a unified async API to generate images, video, audio, and text with one endpoint, job tracking, and persistent artifact links.

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About tool
HiAPI is a production-focused AI API gateway that helps you generate images, video, and audio through a single, consistent interface. You submit a job, track its status, and retrieve results as durable artifact links, so you don’t need to build custom storage for each provider.
Run everything through the same task lifecycle: choose a model by passing its base model name, provide the model-specific input parameters, and submit to the async tasks endpoint. You can poll for completion or provide a callback URL to be notified when generation finishes.
HiAPI is also agent-friendly, with standardized integration paths via MCP, Skills, and an llms.txt prompt so AI agents can discover models and call the API using consistent workflows. Model pricing and parameters are visible up front, helping you size usage before you ship.
What does HiAPI unify under one API?
HiAPI provides a unified API interface for generating images, video, audio, and text across models. You use the same task-based workflow regardless of the generation type.
How do I use HiAPI’s async task workflow?
Create a job with a POST to the /v1/tasks endpoint to receive a task id. Then either poll for completion or use a callback, and finally retrieve results as artifact links once the task finishes.
What are persistent artifact links in HiAPI?
Persistent artifacts return durable links to your generated outputs. This lets you pass results onward without building or maintaining provider-specific storage.
Can I get notified when a task is done without polling?
Yes. Provide a callback URL when you submit the task so you’re notified on completion rather than repeatedly checking task status.
How do I route requests like default vs beta/ext?
Use the optional route field (for example, default, beta, or ext). Omit it for the default route, while keeping the same overall task API flow.
Where can I see pricing before integrating?
Each model lists pricing details and parameters up front. Review model-specific cost before sending generation jobs in production.