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HappyHorse API Python SDK for RunAPI

The HappyHorse Python SDK is the language-specific package for HappyHorse on RunAPI. Use this package for video generation, animation, and video editing workflows when your application needs request bodies, task status lookup, and consistent RunAPI errors in Python.

Install

pip install runapi-happyhorse

Quick start

from runapi.happyhorse import HappyHorseClient

client = HappyHorseClient()  # reads RUNAPI_API_KEY, or pass api_key="sk-..."

video = client.text_to_video.run(
    model="happyhorse-text-to-video",
    prompt="A horse galloping along a beach at sunset, cinematic",
    aspect_ratio="16:9",
    output_resolution="1080p",
    duration_seconds=5,
)
print(video.videos[0].url)

For image-to-video, call client.image_to_video.run with model="happyhorse-image-to-video" and a first_frame_image_url. For edit-video, call client.edit_video.run with model="happyhorse-edit-video". Use create to submit a task and return quickly, get to fetch the latest task state, and run to create and poll until completion. In web request handlers, prefer create plus webhook or later get polling so a worker is not held open.

RunAPI-generated file URLs are temporary. Download and store generated images, videos, audio, or other files in your own durable storage within 7 days; do not treat returned URLs as long-term assets.

Language notes

Pass parameters as keyword arguments and catch the runapi.happyhorse error classes when building video jobs or scripts. The available resources are text_to_video, image_to_video, and edit_video. Keep RUNAPI_API_KEY in the environment or your secret manager; never commit API keys or callback secrets.

Links

License

Licensed under the Apache License, Version 2.0.

Release files for runapi-happyhorse 0.2.1

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