Video + AI shouldn't be hard, so we built @mux/ai
Blog post from Mux
@mux/ai is an open-source TypeScript toolkit designed to simplify the integration of large language models (LLMs) for video content processing, addressing common challenges faced by developers in user-generated content (UGC) applications. By offering pre-built workflows for tasks such as content moderation, video summarization, chapter generation, and translation, @mux/ai reduces the technical complexity and redundancy of coding solutions from scratch. These workflows handle intricate processes like API calls, error handling, and result structuring, allowing developers to focus on building custom features using the toolkit's primitives. The toolkit supports multiple AI providers, offering flexibility and control over data protection and cost management, with comprehensive evaluation coverage ensuring high-quality outputs across providers. Additionally, @mux/ai is compatible with Vercel's Workflow DevKit for reliable, long-running pipelines, making it easier to build durable video AI workflows. The toolkit is available in public beta on NPM, inviting contributions and feedback from the developer community to enhance its capabilities.