ModelFusion is a library for building AI apps, chatbots, and agents. It provides abstractions for AI models, vector indices, and tools.

- Type inference and validation: ModelFusion uses TypeScript and Zod to infer types wherever possible and to validate model responses.

- Flexibility and control: AI application development can be complex and unique to each project. With ModelFusion, you have complete control over the prompts and model settings, and you can access the raw responses from the models quickly to build what you need.

- No chains and predefined prompts: Use the concepts provided by JavaScript (variables, functions, etc.) and explicit prompts to build applications you can easily understand and control. Not black magic.

- More than LLMs: ModelFusion supports other models, e.g., text-to-image and voice-to-text, to help you build rich AI applications that go beyond just text.

- Integrated support features: Essential features like logging, retries, throttling, tracing, and error handling are built-in, helping you focus more on building your application.

This would be great, and feels like the direction things will quickly head next. How can I break down larger jobs to tasks, with specific portions going to the public LLMs, and the more sensitive private data tasks going to perhaps a self hosted model, all while being able to monitor accuracy. Love it!