Reverse Dependencies of tiktoken

The following projects have a declared dependency on tiktoken:

• keble-chains — Keble ai model toolkit
• keywordsai-eval — An evaluation package for LLM input output
• khoj — Your Second Brain
• knowledge-base-guardian — An LLM application to safeguard the consistency of documents in a knowledge base
• knowledgegpt — A package for extracting and querying knowledge using GPT models
• kogi — Kogi Programming Assistant AI Dog
• KosmosX — Transformers at zeta scales
• kube-agent — A Kubernetes copilot agent powered by OpenAI
• kube-copilot — Kubernetes Copilot
• l2mac — The LLM Automatic Computer Framework
• lagent — A lightweight framework for building LLM-based agents
• lamatic-airbyte-cdk — A framework for writing Airbyte Connectors.
• lanarky — The web framework for building LLM microservices
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain_dashscope — 将阿里云灵积模型（通义千问等）集成到LangChain
• langchain-g4f — LangChain gpt4free is an open-source project that assists in building applications using LLM (Large Language Models) and provides free access to GPT4/3.5.
• langchain-ibis — Building applications with LLMs through composability
• langchain-llm — langchain llm wrapper
• langchain-moonshot — An integration package connecting Moonshot AI and LangChain
• langchain-openai — An integration package connecting OpenAI and LangChain
• langchain-openai-limiter — Wrapper for Langchain & OpenAI api calls which use OpenAI headers to deal with TPM & RPM.
• langchain-plantuml — Subscribe to events using a callback and store them in PlantUML format. You can easily subscribe to events and keep them in a form that is easy to visualize and analyze.
• langchain-prefect — Orchestrate and observe tools built with langchain.
• langchain-qa-with-references — This is a temporary project while I wait for my langchain [pull-request](https://github.com/langchain-ai/langchain/pull/7278) to be validated.
• langchain-utils — Utilities built upon the langchain library
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchain_zhipu — 将智谱AI集成到LangChain
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability
• langfair — LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
• langgraph-studio — no summary
• langpack — A library to pakcage and deploy langugage model apps
• langplus — Building applications with LLMs through composability
• langrila — useful tool to use API-based LLM
• langroid — Harness LLMs with Multi-Agent Programming
• langroid-slim — Harness LLMs with Multi-Agent Programming
• langsearch — Easily create semantic search based LLM applications on your own data
• LangTorch — Framework for intuitive LLM application development with tensors.
• langtrace-python-sdk — Python SDK for LangTrace
• languageassistant — An LLM-powered language learning assistant
• langup — 社交网络机器人
• languru — The general purpose LLM app stacks.
• lanno — Let Large Language Models Serve As Data Annotators.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• lazycodr — A CLI tool to help lazy coders get the work done with AI (commit messages, pull requests ...)
• lazyllm — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lazyllm-beta — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lazyllm-llamafactory — Easy-to-use LLM fine-tuning framework
• ldp — Agent framework for constructing language model agents and training on constructive tasks.
• learnbyvideo-whisper — Robust Speech Recognition via Large-Scale Weak Supervision
• lemon-rag — no summary
• letta — Create LLM agents with long-term memory and custom tools
• letta-nightly — Create LLM agents with long-term memory and custom tools
• lexi — Lexi is a local LLM-based solution - includes Chat UI, RAG, LLM Proxy, and Document importing
• liah — Insert a Lie in a Haystack and evaluate the model's ability to detect it.
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• libwebarena — This is an unofficial, use-at-your-own risks port of the webarena benchmark, for use as a standalone library package.
• lighteval — A lightweight and configurable evaluation package
• lightning-gpt — GPT training in Lightning
• lightning-whisper-mlx — no summary
• lightrag — The Lightning Library for LLM Applications.
• lilac — Organize unstructured data
• lime-green — A cli based micro-framework for LLM evals
• linkedin-ai — Automate searching for jobs and submitting applications on LinkedIn using OpenAI
• linkml-store — linkml-store
• lion-service — no summary
• litellm — Library to easily interface with LLM API providers
• litemultiagent — no summary
• litenai — Python library for Liten AI Data platform
• live_illustrate — Live-ish illustration for your role-playing campaign
• llama-agentic-system — Llama Agentic System
• llama-cmdline — Llama CLI
• llama-index-core — Interface between LLMs and your data
• llama-index-g — Interface between LLMs and your data
• llama-index-legacy — Interface between LLMs and your data
• llama-models — Llama models
• llama-tokens — A Quick Library with Llama 3.1/3.2 Tokenization - source https://github.com/jeffxtang/llama-tokens
• llamafactory — Easy-to-use LLM fine-tuning framework
• llamafactory-songlab — Easy-to-use LLM fine-tuning framework
• llano — Let Large Language Models Serve As Data Annotators.
• llm-app — LLM-App is a library for creating responsive AI applications leveraging OpenAI/Hugging Face APIs to provide responses to user queries based on live data sources. Build your own LLM application in 30 lines of code, no vector database required.
• llm-bot — Python library for developing LLM bots
• llm-checks-common-functions — common functions, utilities using multiple DB and LLM options.
• llm-client — SDK for using LLM
• llm-commons — A Python wrapper for managing OpenAI API and other LLM models.
• llm-cost-estimation — A Python library for estimating the cost of LLM API calls
• llm-docstring-generator — Code to generate docstrings for Python code using GPT-4 etc.
• llm-error-handler — A simple decorator for AI error handling in Python.
• llm-explorer — A Lakehouse LLM Explorer. Wrapper for spark, databricks and langchain processes
• llm-foundry — LLM Foundry
• llm-guard — LLM-Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM-Guard ensures that your interactions with LLMs remain safe and secure.
• llm-handler — A unified handler for LLM API calls across OpenAI, Anthropic, and Google
• llm-math-education — Retrieval-backed LLMs for math education
• llm-messages-token-helper — A helper library for estimating tokens used by messages.
• llm-monitor — 📈 Monitor your LLM integration with Galileo's LLM Monitor!
• llm-os — An open-source chatgpt tool ecosystem where you can combine tools with chatgpt and use natural language to do anything.
• llm-pdf-chat — Talk to your PDFs using an LLM.
• LLM-Performance-Benchmark — Benchmark the performance (output speed, latency) of OpenAI compatible endpoints