Give your JS App some Backbone with Models, Views, Collections, and Events.

An open-source machine learning framework.

OpenCode plugin for auto-discovery of OpenAI-compatible models with dynamic provider configuration

Mintlify models

Token-Oriented Object Notation (TOON) – compact, human-readable serialization of JSON data for LLM prompts

A lightweight layer for working with JSON:API data.

The **Cerebras provider** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.

Converts loopback models into a json schema model file

Attach cloud and local files in Rails applications

The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Groq chat and completion APIs, transcription support, and browser search tool.

Generate AI summaries of test results using a wide range of AI models like OpenAI, Anthropic, Gemini, Mistral, Grok, DeepSeek, Azure, Perplexity, OpenRouter, and custom OpenAI-compatible APIs


MistralAI integration for LangChain.js

Core LangChain.js abstractions and schemas

TypeScript definitions & runtime schemas for the **Agent-User Interaction (AG-UI) Protocol**.

MediaPipe Vision Tasks. See the privacy notice at https://goo.gle/mediapipe-privacy.

Tool for generation samples based on JSON Schema Draft 7

Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

Unified LLM API with automatic model discovery and provider configuration