valibot VS modelfusion

I'll use Valibot library, which is a pretty new and cool library for schema validation, similar to Zod.

The ModelFusion zodSchema function wraps the Zod object definition. This is necessary because ModelFusion supports Zod and unchecked JSON schemas and is adaptable to other schema validation libraries such as Valibot.

There was already existing validation in place for the question form page using Valibot, so I only needed to change two lines of code. I imported includes in addition to the other Valibot functions, and I also added an a new line of validation using the includes function to ensure the string has at least one space (If it does not the corresponding error message will be displayed). I had never used Valibot before, but it was easy to learn by looking at the web documentation as well as the existing code. See screenshots of my fix in my PR.

Valibot (good for types and constraints)

Valibot: A lightweight schema declaration and validation library. Its bundle size is less than 1kb

ModelFusion is an AI integration library that I am developing. It enables you to integrate AI models into your JavaScript and TypeScript applications. You can install it with the following command:

ModelFusion is an open-source library I'm developing to integrate AI models seamlessly into TypeScript projects. It provides an Ollama client and a generateStructure function.

ModelFusion: ModelFusion is a library for building multi-modal AI applications that I've been working on. It provides a streamText function that calls AI models and returns a streaming response. ModelFusion also contains an Ollama integration that we will use to access the OpenHermes 2.5 Mistral model.

You can find the complete code for the chatbot here: github/com/lgrammel/modelfusion/examples/pdf-chat-terminal

I’m working on ModelFusion, a TypeScript library for working with AI models (llm, image, etc.)

https://github.com/lgrammel/modelfusion

It is only getting limited traction so I’m wondering if I’m missing something fundamental with the approach that I’m taking.

If you work with JS or TS, check out this alternative that I've been working on:

https://github.com/lgrammel/modelfusion

It lets you stay in full control over the prompts and control flow while make a lot of things easier and more convenient.

The response also contains additional information such as the metadata and the full response. The ModelFusion documentation contains many examples and demo apps.