LLM models for tune, from openai, anthropic, openrouter etc
Calculate the token consumption and amount of openai gpt message
Azure AI Projects client library.
TUF metadata models
Editor.js Block Tune allows applying one of defined text variant: **Call-out**, **Citation**, and **Details** to any block.
Rename files in bulk
Tree-shakeable static models.dev catalog split by provider for TokenLens.
hocuspocus throttle extension
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK. For each model there is a TypeScript interface, and a validation function to ensure and object is valid.
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.
Unified LLM API with automatic model discovery and provider configuration
An open-source machine learning framework.
Attach cloud and local files in Rails applications
A Javascript library for running ONNX models on browsers
Mintlify models
A native Capacitor plugin that embeds llama.cpp directly into mobile apps, enabling offline AI inference with chat-first API design. Complete iOS and Android support: text generation, chat, multimodal, TTS, LoRA, embeddings, and more.
cli for mastra
Core LangChain.js abstractions and schemas
The CDK Construct Library for AWS::SageMaker
chat with llm in a text file. core package
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.
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.
OpenAI integrations for LangChain.js
A Ruby-native interface for fine-tuning machine learning models, starting with image classification using SigLIP2
Map query params to model scopes, pairing one or more keys to a scope. Parameters can be required, or whitelisted providing fine tuned control over how scopes are run.
A Ruby port of mlx-lm providing large language model inference, quantization, LoRA fine-tuning, and an OpenAI-compatible server built on the mlx gem. Supports Llama, Gemma, Qwen2, Phi3, Mixtral, DeepSeek, and many more architectures.
Contentful API wrapper library exposing an ActiveRecord-like interface
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