Reverse Dependencies of litellm

The following projects have a declared dependency on litellm:

• agent-dingo — A microframework for creating simple AI agents.
• agentkit — A simple framework for creating distributed llm agent swarms
• ai-agents — An Open-source Framework for Autonomous Language Agents
• aiconsole — Run and expand your personal AI tools
• aider-chat — aider is GPT powered coding in your terminal
• aiflows — aiFlows implements the abstraction of Flows proposed in "Flows: Building Blocks of Reasoning and Collaborating AI" and greatly simplifies the design and implementation of complex (work)Flows involving humans, AI systems, and tools.
• applang — A Prompt Programming Language
• arize-phoenix — AI Observability and Evaluation
• arize-phoenix-evals — LLM Evaluations
• AutoGPT-Forge — no summary
• autollm — Ship RAG based LLM Web API's, in seconds.
• banks — A prompt programming language
• 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.
• bellek — My digital memory
• bolna — no summary
• chartgpt — ChartGPT is a library for generating charts from text
• ChatDBG — AI-assisted debugging. Uses AI to answer 'why'.
• cosmoai — The future of AI.
• CoverUp — LLM-powered test coverage improver
• cwhy — Explains and proposes fixes for compile-time errors for many programming languages.
• datadreamer.dev — Prompt. Generate Synthetic Data. Train & Align Models.
• datasci-agents — Datasci Agents
• devrevteamthirtyone — Submission for team31
• devrevthirtyone — no summary
• distilabel — AI Feedback (AIF) framework
• doc-comments-ai — no summary
• dreamai — 🔂
• dreamai-gen — no summary
• elia-chat — A powerful terminal user interface for interacting with large language models.
• fastrepl — Fast Run-Eval-Polish Loop for LLM App
• fastrepl-client — no summary
• fmbench — Benchmark performance of **any model** deployed on **Amazon SageMaker** or available on **Amazon Bedrock** or deployed by you on an AWS service of choice (such as Amazon EKS or Amazon EC2) a.k.a **Bring your own endpoint**.
• funcflow — no summary
• garak — LLM vulnerability scanner
• goodai-ltm — A text memory meant to be used with conversational language models.
• guardrails-ai — Adding guardrails to large language models.
• hadronic — no summary
• headjack-keymaker — The most powerful, flexible and extensible way to control the output of large language models.
• helixbio — no summary
• instructor — structured outputs for llm
• jailbreakbench — An Open Robustness Benchmark for Jailbreaking Language Models
• jsonLiteLLM — no summary
• kaizen-cloudcode — An intelligent coding companion that accelerates your development workflow by providing efficient assistance, enabling you to craft high-quality code more rapidly.
• kbve — ATLAS
• langevals-custom — Custom evaluators you can build using other LLMs to do the eval, semantic matching or simple regexes or string matching.
• langevals-langevals — LangEvals house-made classification.
• langevals-ragas — LangEvals Ragas evaluator
• langflow — A Python package with a built-in web application
• langroid — Harness LLMs with Multi-Agent Programming
• langstream — Build robust LLM applications with true composability
• litellm-types — no summary
• llama-index-llms-litellm — llama-index llms litellm integration
• llamabot — A Pythonic interface to LLMs.
• llmbanter — LLM Banter: See 2 large language models (LLMs) banter, debate and chat with each other.
• llmdocgen — Automate documentation generation using the LLM of your choice!
• llmgraph — Create knowledge graphs with LLMs
• llmsh — Command-line tool to use Large Language Models in your shell,including OpenAI, Anthropic, PalM, Mistral, Cohere, and more.
• llmvsllm — LLM vs. LLM: Simulates a rap battle or debate between two Large Language Models (LLMs)
• log10-io — Unified LLM data management
• lyzr — no summary
• magentic — Seamlessly integrate LLMs as Python functions
• miniautogen — Lightweight and flexible library for creating multi-agent agents and conversations.
• mllm — Multimodal Large Language Models
• my-interpreter — Let language models run code locally.
• notdiamond — Not Diamond Python Library
• oak-data — no summary
• okareo — Python SDK for interacting with Okareo Cloud APIs
• open-interpreter — Let language models run code
• openplugin — no summary
• oxyparser — no summary
• piah — automatically parse PDF's and texts to dataclasses
• plexiglass — A Python Machine Learning Security Toolbox for Adversarial Attacks.
• pluto-data — no summary
• pr-agent — CodiumAI PR-Agent aims to help efficiently review and handle pull requests, by providing AI feedbacks and suggestions.
• prompt2model — A library for distilling models from prompts.
• promptmodel — Prompt & model versioning on the cloud, built for developers.
• promptulate — A powerful LLM Application development framework.
• python-commentator — An automatic commenter and type inference tool for Python code.
• r2r — SciPhi R2R
• raga-llm-eval — Package for LLM Evaluation
• ragstack-ai-langflow — RAGStack Langflow
• ragtime — Ragtime 🎹 is an LLMOps framework to automatically evaluate Retrieval Augmented Generation (RAG) systems and compare different RAGs / LLMs
• rawdog-ai — An AI command-line assistant
• rerankers — A unified API for various document re-ranking models.
• rigging — LLM Interaction Framework
• salesgpt — SalesGPT - Your Context-Aware AI Sales Assistant
• shell-gpt — A command-line productivity tool powered by large language models, will help you accomplish your tasks faster and more efficiently.
• simple-ai-agents — no summary
• speck — Speck - Development and observability toolkit for LLM apps.
• streaming-assistants — Streaming enabled Assistants API
• suql — Structured and Unstructured Query Language (SUQL) Python API
• surfkit — A toolkit to build GUI surfing AI agents
• tinyllm — Development and management infrastructure for LLM applications
• tonic-validate — RAG evaluation metrics.
• toucans — no summary
• txtai — All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
• typedllm — A Pydantic LLM Interface that sparks Joy
• uptrain — UpTrain - tool to evaluate LLM applications on aspects like factual accuracy, response quality, retrieval quality, tonality, etc.
• uptrain-haystack — An integration of UpTrain LLM evaluation framework with Haystack
• vdf-io — This library uses a universal format for vector datasets to easily export and import data from all vector databases.