Skip to main content

Give Your AI the Docs.

Start Building. Share the llms.md integration guide with your AI coding assistant and give it the context it needs to integrate the GENGEN API. GENGEN provides a unified API for generative video, image, and multimodal models. Use the same API key, workspace, and task lifecycle across supported providers.

Quickstart

Create your first asynchronous video task and retrieve its result.

Authentication

Create and secure a GENGEN API key.

API reference

Review endpoints, parameters, and response schemas.

OpenAI-compatible LLMs

Use the OpenAI Python or JavaScript SDK with GENGEN chat models.

Base URL

All requests use HTTPS and bearer-token authentication.
For OpenAI-compatible LLM clients, set the SDK base URL to https://gengen.farm/v1. This compatibility URL currently supports Chat Completions. See OpenAI-compatible LLMs for Python and JavaScript examples.

A consistent generation schema

New integrations should use the normalized request shape:
Generation results use id, model, status, and outputs as their primary fields. Read generated video URLs from outputs.videos and generated image URLs from outputs.images.
Moving the documentation to Mintlify does not change API URLs, API keys, request bodies, billing, or task IDs. Existing API clients continue to call gengen.farm.

Choose your next step