GPT model implemented with Tensorflow.js
Simple unix style utility adding gpt model interaction to the command line
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
A lightweight tokenizer for OpenAI's GPT model series. Uses OpenAI's tiktoken python package
Tree-shakeable static models.dev catalog split by provider for TokenLens.
Core types and registry utilities for TokenLens (model metadata).
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.
Javascript BPE Encoder Decoder for GPT-2 / GPT-3
Telegram bridge bot to run local Codex/Claude CLIs
A pure JavaScript implementation of a BPE tokenizer (Encoder/Decoder) for GPT-2 / GPT-3 / GPT-4 and other OpenAI models
OpenClaw Codex app-server harness and model provider plugin with a Codex-managed GPT catalog.
BotGPT is cli bot based on Open AI GPT model. It is using gpt-3.5-turbo gpt model. It is based on ChatCompletion method with steam output like chat GPT
Typed client for models.dev to fetch model catalogs with friendly errors.
A simple AI chatbot using OpenAI's GPT model.
A utility for generating human-readable changelogs from git commit differences using OpenAI's GPT model.
Shared AI types and model definitions for Directus AI
Count the number of OpenAI tokens in a string. Supports all OpenAI Text models including GPT-5, GPT-4, GPT-3.5-turbo, and specialized models
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
A faster than tiktoken tokenizer with first-class support for Vercel's AI SDK.
Helpers for context windows, usage normalization, compaction, and cost estimation.
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
CLI wrapper around OpenAI Responses API with GPT-5.5 Pro, GPT-5.5, GPT-5.4, GPT-5.2, GPT-5.1, and GPT-5.1 Codex high reasoning modes.
Calculate the token consumption and amount of openai gpt message
Core LangChain.js abstractions and schemas
OpenAI ChatGPT API is a light-weight Ruby wrapper for the Rubyists. [`gpt-4`, `gpt-4-0314`, `gpt-4-32k`, `gpt-4-32k-0314`, `gpt-3.5-turbo`, `gpt-3.5-turbo-0301`]. You can use this gem to generate text using OpenAI's ChatGPT chat responses API.
A proof-of-concept Ruby gem that sorts number arrays by leveraging the OpenAI Chat Completions API. Demonstrates how AI can be used for computational tasks.
This fastlane plugin provides an easy way to use the OpenAI GPT language model to translate strings in your iOS application.
Train and run GPT models in Ruby using torch.rb. A minimal, educational implementation of GPT-2 style models.
Uses the power of OpenAI's GPT large language AI models to generate translations for your application.
A command-line tool that translates natural language to shell commands using OpenAI's GPT model.
A Ruby gem providing a consistent interface for various AI/ML tokenizers including OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, Qwen, and embedding models like BERT, BGE, and multilingual-E5. Features caching, truncation, token counting, and error handling across different tokenization libraries.
Lightweight Ruby client for OpenAI image generation and edits (/v1/images/generations, /v1/images/edits). Defaults to GPT Image models; stdlib-only (Net::HTTP + JSON). Ruby 3.1+.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
RubyAI is a wrapper for the OpenAI API that allows you to interact with GPT-4 within Ruby/Rails applications. It provides simple methods for integrating language model capabilities into your Ruby projects.
LLM Conductor provides a clean, unified interface for working with multiple Language Model providers including OpenAI GPT, Anthropic Claude, Google Gemini, Groq, OpenRouter, and Ollama. Features include prompt templating, token counting, and extensible client architecture.
RailsChatbot is a Rails engine that provides an intelligent chatbot system with knowledge base integration. It can answer questions about your application by indexing your models and content, using OpenAI's GPT models for intelligent responses.
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