Reverse Dependencies of tiktoken

The following projects have a declared dependency on tiktoken:

• assert-llm-tools — Automated Summary Scoring & Evaluation of Retained Text
• asset-sentiment-analyzer — A sentiment analyzer package for financial assets and securities utilizing GPT models.
• astsnowballsplitter — A package for smartly splitting code into chunks
• async-llm-handler — An asynchronous handler for multiple LLM APIs
• async-openai — Unofficial Async Python client library for the OpenAI API
• AtCoderStudyBooster — A tool to download and manage AtCoder problems.
• athena-ai — Athena, an AI agent built on GPT-4 architecture, is designed for continuous learning and self-reliance. Inspired by the Greek goddess of wisdom, Athena assists users with valuable insights across various subjects. Focused on knowledge acquisition, capability improvement, and security, this AI agent leverages natural language processing and a supportive human community to grow and become a trusted, versatile companion.
• athenah-ai — no summary
• athina — Python SDK to configure and run evaluations for your LLM-based application
• athina-evals — Python SDK to configure and run evaluations for your LLM-based application
• athina-logger — no summary
• atksh-utils — atksh's utils
• audiomind — no summary
• AudioSummariser — Summarises the text generated from the audio files for quicker resolution. The audio files are typically the customer support recordings for now but the usecase can be extended to more dimensions. Sentiment is analysed and depicted visually.
• auk-scrapegraphai — A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines.
• auto-ams — no summary
• auto-coder — AutoCoder: AutoCoder
• auto-learn-gpt — autoML for training and inference Deep Learning model
• auto-retrieval-plugin — Create and host retrieval plugins for ChatGPT in one click
• autobiasdetector — tools for detecting bias patterns of LLMs
• autogen — A programming framework for agentic AI
• autogen-agentchat — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• autogen-agentchat-um — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• autograms — A framework for programming stateful LLM based chatbots.
• automated-interpretability — OpenAI's implementation of automated-interpretability, with some updates. Not officially affiliated with OpenAI.
• autonomous-agent — 数字风控智能体(神荼), 主要负责对用户提交资料进行KYC
• autopipeline — no summary
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autoresearcher — Automating scientic workflows with AI
• autotiktokenizer — 🧰 The AutoTokenizer that TikToken always needed -- Load any tokenizer with TikToken now! ✨
• autotrain-advanced — no summary
• autoxx — LLM-based autonomous agent
• ava-mosaic-ai — no summary
• azure-ai-generative — Microsoft Azure Machine Learning Client Library for Python
• azureChatGPT — ChatGPT is a reverse engineering of Azure ChatGPT API
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• azureml-rai-utils — Azure Machine Learning Responsible AI Utils SDK
• bambooai — A lightweight library for working with pandas dataframes using natural language queries
• BanterBot — BanterBot: An OpenAI ChatGPT-powered chatbot with Azure Neural Voices. Supports speech-to-text and text-to-speech interactions with emotional tone selection. Features real-time monitoring and Tkinter frontend.
• basilsweepercrawler — no summary
• bbook-maker — The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist users in creating multi-language versions of epub/txt files and books.
• bcligpt — Better CLI for GPT
• beaker-bunsen — Quickly generate new Beaker contexts for new domains and libraries.
• beam-ds — Beam Datascience package
• benchllm — Tool for testing LLMs
• berri-ai — no summary
• berrydb — The database for unstructured data and AI apps
• bespokelabs-curator — Bespoke Labs Curator
• besser-bot-framework — BESSER Bot Framework (BBF)
• beyondllm — Beyond LLM is an toolkit to Build Experiment Evaluate and Observe RAG pipelines
• bida — bida， 简单、易用、稳定、高效，便于扩展和集成的，大语言模型工程化开发框架
• biochatter — Backend library for conversational AI in biomedicine
• biorxivist — Tools to access prepublications from BioRxiv and integrate LLM tools.
• bisheng-pyautogen — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• bisheng-pybackend-libs — libraries for bisheng rt pybackend
• bisheng-ragas — no summary
• Blauwal3-Prototypes — 用于原型开发的蓝鲸小组件--适合勇敢的人。
• blockflow — prompt management for llms
• boilerplate-x — Create project boilerplate for any programming language in minutes, with just an idea.
• bolift — BayesOPT with LIFT
• bolna — no summary
• bondai — An AI-powered console assistant with a versatile API for seamless integration into applications.
• bookworm_genai — Bookworm - A LLM-powered bookmark search engine
• booookscore — Official package for our ICLR 2024 paper, "BooookScore: A systematic exploration of book-length summarization in the era of LLMs".
• bpeasy — Fast bare-bones BPE for modern tokenizer training
• brainchain — Brainchain API client
• brdata-rag-tools — Improve development of retrieval augmented generation (RAG) applications at the BR AI + Automation Lab.
• brevia — Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs
• browser-gpt-api — Add your description here
• browsergym-experiments — Experimentation tools for BrowserGym
• bunkatopics — Bunkatopics is a Topic Modeling package and Exploration Module
• buster-doctalk — Buster 🤖: A chatbot for retrieval-augmented generation
• bytes32 — Byte-sized text games for code generation tasks on virtual environments.
• byzerllm — ByzerLLM: Byzer LLM
• cactus-commit — A tool for streamlined commit messaging using AI
• cadenai — no summary
• camel-ai — Communicative Agents for AI Society Study
• canopy-sdk — Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
• capabilities — Build trusted, faster, and more powerful applications with the Blazon Capabilities API.
• cappr — Completion After Prompt Probability. Make your LLM make a choice
• carbonia — Using AI to make a match between an input dataframe and a target dataframe. Useful for data matching, specially when the target data is a carbon database (ecoinvent, L1P5 etc)
• catenator — A Python tool for concatenating code.
• catprompt — Combine prompts for chatgpt.
• catshand — Tools for Podcast editing
• ccontext — collect-context: Makes the process of collecting and sending context to an LLM like ChatGPT-4o as easy as possible.
• chainfactory-py — Structured LLM Inference with Easy Parallelism
• chalkpy — Python SDK for Chalk
• chap — Interact with the OpenAI ChatGPT API (and other text generators)
• chat-agent — A Simple Chat Agent, For OpenAI ChatGPT
• chat-cli — Command line interaction with ChatGPT with chat history saved locally
• chat-cli-anything — Chat with anything on cli.
• chat-completion-utils — no summary
• chat-flock — Driving Dynamic Multi-Participant Chat Interactions for AI and Human Discourse
• chat_llm_cli — Simple yet effective command line client for chatting with big LLMs using the llm_lite wrapper or ollama models
• chat-research — Use ChatGPT to accelerator your research.
• chat-with-functions — no summary
• chat-with-mlx — A Retrieval-augmented Generation (RAG) chat interface with support for multiple open-source models, designed to run natively on MacOS and Apple Silicon with MLX.
• chatapi-toolkit — A short wrapper of the Chatapi Toolkit.
• chatcli — Streaming CLI interface for OpenAI's Chat API
• chatcli-gpt — A command line interface for interacting with GPT-3. It's orientated around an append only chat log so you get a complete history of your conversations.