HiAPI

HiAPI is a developer-first AI API platform designed to streamline the integration of generative AI models for image, video, and audio generation into any application or workflow. At its core, HiAPI provides a unified gateway that abstracts away the complexity of dealing with multiple AI model providers, allowing developers to access a curated selection of leading models through a single API key and a consistent, OpenAI-compatible request schema. The platform is purpose-built for production-grade applications, offering features like persistent artifact storage, asynchronous task management with callbacks, and availability-first routing to ensure reliability under real-world load. HiAPI targets a broad range of users, including individual developers building AI-powered features, teams integrating generative media into SaaS products, and AI agents that require programmatic access to model capabilities. The main value proposition is eliminating the operational overhead of managing multiple API integrations, separate billing accounts, and custom storage solutions for generated outputs. With a pay-as-you-go pricing model and transparent per-model costs, HiAPI enables predictable budgeting and rapid prototyping. The platform supports a diverse model lineup, including OpenAI's GPT Image 2 for text rendering, ByteDance's Seedream 5.0 Pro for flagship image generation, and MiniMax Music 2.6 for audio creation. By providing a single task API lifecycle for submission, status checking, and artifact retrieval, HiAPI simplifies the entire generative workflow from prompt to persistent output.

Unified Task API

HiAPI provides a single, asynchronous task-based API endpoint that handles the entire lifecycle of a generative AI request. Developers submit a job by specifying the model name, input parameters, and optional configurations like storage and callback URLs. The API returns a unique task ID, allowing for idempotent retries without duplicate task creation. This unified approach means that generating an image, creating a video, or producing music all follow the same programming pattern, reducing integration complexity and enabling consistent error handling and monitoring across different model types.

Persistent Artifact Storage

A standout feature of HiAPI is its built-in persistent storage for generated outputs. When a task is submitted with the storage parameter set to "persistent," the platform automatically stores the generated image, video, or audio file and returns a durable, low-cost artifact link. This eliminates the need for developers to build and maintain their own storage infrastructure for AI-generated media. The persistent links are ideal for use in production applications where generated content needs to be served to end users or referenced over time without additional storage management overhead.

AI Agent Friendly Integration

HiAPI is designed to be natively compatible with AI agents and autonomous systems. The platform supports multiple integration pathways including Remote MCP (Model Context Protocol) tools, reusable Skills for common workflows, and an llms.txt documentation index that agents can parse to understand the API's capabilities. This allows agents like Claude, Cursor, and Codex to discover, call, and compose HiAPI's models without manual configuration. Developers can paste the llms.txt prompt into their agent to enable automatic model selection and API setup, making HiAPI a drop-in solution for agent-driven generative tasks.

Production-Grade Reliability

The platform is engineered for high availability and reliability in production environments. Key features include availability-first routing that directs requests to the most responsive model endpoints, callback notifications that alert systems upon task completion instead of requiring polling, and 24/7 support for handling real-time load. This infrastructure ensures that generative AI workflows remain operational under scale, with built-in mechanisms for retries, idempotency, and status tracking. The combination of these features makes HiAPI suitable for mission-critical applications where uptime and consistent performance are paramount.

Automated Social Media Content Generation

Marketing teams and content creators can use HiAPI to programmatically generate images and videos for social media posts. By calling the unified API with specific prompts and parameters, developers can create a pipeline that produces branded visuals, short video clips, or audio snippets on a schedule or in response to triggers. The persistent storage feature ensures that generated assets are immediately available with shareable links, while the callback mechanism can notify publishing systems when content is ready for distribution.

Dynamic Product Imagery for E-Commerce

E-commerce platforms can leverage HiAPI's image generation models to create product visuals on demand. For example, using Seedream 5.0 Pro or FLUX 1.1 Pro, developers can generate product images in different styles, backgrounds, or configurations based on user preferences or inventory data. The unified API allows for seamless integration with existing product management systems, and the transparent pricing model enables accurate cost forecasting for large-scale image generation campaigns.

AI-Powered Creative Tools and Applications

Developers building creative applications such as design tools, video editors, or music production software can integrate HiAPI to offer generative AI features to their users. The platform's consistent task lifecycle and support for multiple model types allow for features like text-to-image generation, image editing, video creation with multi-shot consistency, and music composition from prompts. The MCP and Skills integration pathways also enable these tools to incorporate agent-driven workflows where users can describe complex creative tasks in natural language.

Content Moderation and Preview Systems

Platforms that need to generate and review AI content before publication can use HiAPI's asynchronous task model to build moderation pipelines. Submitted generation tasks can be routed to a review queue, with callbacks notifying moderators when outputs are ready. The persistent artifact links allow moderators to preview content without downloading files, and the idempotency key feature ensures that retries do not create duplicate entries in the moderation system. This use case benefits from the platform's production-grade reliability and transparent cost structure.

How does the unified task API work and what is the typical lifecycle?

The unified task API operates on a simple lifecycle: submit a job to the POST /v1/tasks endpoint with the model name, input parameters, and optional configurations like storage and callback. The API returns a unique task ID immediately. You can then check the task status via the task ID, or if you provided a callback URL, the platform will send a POST request to that URL when the task completes. The idempotency key ensures that retrying the same submission does not create duplicate tasks, making the system safe for network retries and automated workflows.

What models are currently available on HiAPI and how do I access them?

HiAPI offers a curated selection of leading generative AI models. For image generation, available models include GPT Image 2 for text rendering, Seedream 5.0 Pro for flagship image generation and editing, FLUX 1.1 Pro for high-fidelity images, and Nano Banana 2 for fast generation with character consistency. For video, Seedance 2.0 provides cinematic video with native audio. For audio, MiniMax Music 2.6 generates complete songs from prompts. To access a model, simply pass its base name in the model parameter of the API request, along with the specific route (e.g., "gpt-image-2/text-to-image").

How does persistent artifact storage work and what are the costs?

When you set the storage parameter to "persistent" in your task submission, HiAPI automatically saves the generated output and returns a durable link. This link remains accessible for retrieval without you needing to build any separate storage infrastructure. The cost for persistent storage is included in the per-task pricing, which is listed transparently for each model. The platform also supports non-persistent storage if you only need temporary access. Check the model details page for specific pricing information on storage and generation.

Is HiAPI compatible with existing AI development tools and agents?

Yes, HiAPI is designed for broad compatibility. It supports OpenAI-compatible request formats, making it easy to integrate with existing codebases that use OpenAI's API. For AI agents, the platform provides Remote MCP tools, reusable Skills for common workflows, and an llms.txt documentation index. Developers can paste the llms.txt prompt into agents like Claude, Cursor, or Codex to enable automatic discovery and setup. This means agents can autonomously select the appropriate model and integration path (Skills, MCP, or direct API) based on the task requirements.