Reverse Dependencies of openai

The following projects have a declared dependency on openai:

• structgenie — LLM Generation Framework for structured outputs with type validation
• structure-llm — Data structuring with LLM
• structured-logprobs — Logprobs for OpenAI Structured Outputs
• studiolab-ml — STUDIOLAB ML inference Package
• subtransAI — Python project using AI for subtitle translation.
• sudogpt — Let openai into your computer
• sum-pai — A Python library for cataloging and searching python files.
• summ — Summ provides intelligent question-answering and search capabilities across user interview transcripts.
• summaraize — Analyze event video recordings with cloud hosted AI.
• Summarize-Repo — The quickest solution for repository analysis
• summawise — Summarize information from vectorized files using OpenAI's powerful models, and explore data further with an interactive prompt for deep dives into content.
• summed — SumMed empowers patients and caregivers to better understand medical information
• summedia — SumMedia library is a powerful Python package used for extracting and parsing newspaper articles. It simplifies the process of web scraping, article downloading and working with openai API. The plugin enables various functionalities related to news content personalization and categorization.
• summony — Collection of tools and UIs for chatting and experimenting with multiple LLMs (via their APIs) at the same time.
• sumtex — My package description
• sunsuku — LLMAI API Wrapper
• super-json-mode — A framework for faster structured output generation using LLMs.
• super-rag — Super-performant RAG pipelines for AI apps
• super-search-gpt — SuperSearch is a powerful Python package for advanced search and data extraction. It leverages the GPT-4 AI model, Google search, and web scraping to efficiently obtain information on various topics. Ideal for developers needing quick, accurate responses to complex queries and data extraction, analysis, and summarization from multiple web sources. Easy to integrate, SuperSearch enhances functionality and user experience, saving time on manual research and enabling smarter, more effective solutions.
• superagentx — The Ultimate Modular Autonomous Multi AI Agent Framework.
• superagentx-handlers — no summary
• superai — super.AI API
• supercontrast — supercontrast is a package for unifying machine learning models across providers
• superduper-openai — Superduper allows users to work with openai API models.
• superlaser — An MLOps library for LLM deployment w/ the vLLM engine on RunPod's infra.
• superopenai — Logging and caching superpowers for the openai sdk
• superpipe-py — build unstructured to structured data transformation pipelines
• supersed — An LLM powered super CLI
• supersullytools — This is a Python package that brings together a suite of utilities and helpers across several domains of software development.
• SuperTelBot — Easier way to create Telegram Bots
• supertts — A super TTS package supporting multiple providers.
• superu — A package that helps optimize your chatbot response
• surfaice-assistant — no summary
• surprisal — A package to conveniently compute surprisals for text sequences and subsequences
• suru — Add your description here
• surveyanalyzer — A simple Comment Classification Tools
• svlearn-bootcamp — Base dependency for all the llm bootcamp projects at SupportVectors AI Lab
• swagchain — Swagchain is a python micro-framework to work with Large Language Models
• swamix — swamix.com official library, by your techie Nikhil Swami
• swanki — An example package
• Swarm-Plus — Swarm-Plus is a Python framework developed by Vishnu Durairaj. for developing AI agents equipped with specialized roles and tools to handle complex user requests efficiently.
• swarmauri-experimental — This repository includes experimental components.
• swarmstar — no summary
• swarmx — A lightweight, stateless multi-agent orchestration framework.
• sweagent — The official SWE-agent package - an open source Agent Computer Interface for running language models as software engineers
• swebench — The official SWE-bench package - a benchmark for evaluating LMs on software engineering
• sweep-sdk — Python library for building LLM agents
• swibin — Smart error insights for Python
• swiftannotate — Auto annotation tool for Text, Images, and Videos.
• SwiftLLM — A python package to access most common foundation models easily.
• SwitchAI — A unified library for interacting with various AI APIs through a standardized interface.
• symbolicai — A Neuro-Symbolic Framework for Large Language Models
• symposium — Interaction of multiple language models
• synago — A framework for building LLM based multi-agent system.
• synapsense — SynapSense (Python In-Context Learning) is a Python library designed to facilitate the implementation of In-Context Learning (ICL) with Large Language Models (LLMs).
• synavate — Synavate Utility Library
• synna-instructor — Helper functions that allow us to improve openai's function_call ergonomics fork from jxnl/instructor
• synonym-custom — no summary
• SyntaxMatrix — SyntaxMUI: A customizable UI framework for Python AI assistants projects.
• synth_machine — no summary
• synthora — Synthora is a lightweight and extensible framework for LLM-driven Agents and ALM research. It provides essential components to build, test and evaluate agents. At its core, Synthora aims to assemble an agent with a single config, thus minimizing your effort in building, tuning, and sharing agents.
• syphus — Syphus: Automatic Instruction-Response Generation Pipeline
• sysaidmin — A GPT-powered sysadmin.
• systemics — AI system for general agents
• sz-researcher — sz-researcher是一款为中文研究而设计的自主智能体，适用于多种任务。
• t2ebm — A Natural Language Interface to Explainable Boosting Machines
• t2v-metrics — Evaluating Text-to-Visual Generation with Image-to-Text Generation.
• tabledai — no summary
• tableqallmagent — no summary
• tabmemcheck — Testing Language Models for Memorization of Tabular Data
• tackleberry — Tackleberry (or TB) is helping you tackle the access to AI
• tags-generator — A library to generate tags list from a text using OpenAI
• tahoma-gpt — This is a very easy API for controlling Somfy Tahoma's devices written in Python3, thanks to the pyoverkiz API. You just need a three-word input to control a device
• taifun — Function mapper for Open AI Chat
• tail-test — A Toolkit for automatic LLM Evaluation.
• talk-codebase — talk-codebase is a powerful tool for querying and analyzing codebases.
• talk-summarizer — Python library to summarize talks
• talk2pdf — no summary
• talkgpt — Talk to chatgpt
• talksheet — Interact with flat files using natural languages
• talktosql — Query your DB using natural language instead of SQL queries
• talkwave — TalkWave is an AI chatbot for developers written in Python.
• tamilai — An AI assistant that responds in Tamil
• tangbao — Framework for building LLM-based apps in Boehringer Ingelheim
• tanuki.py — The easiest way to build scalable LLM-powered applications, which gets cheaper and faster over time.
• TapeAgents — TapeAgents framework for building, tuning and evaluating LLM Agents
• tarot_cmoney — no summary
• TaskDetailsExtractor — Extract detailed tasks for software project modification using GPT from OpenAI.
• TaskFeasibilityAnalyzer — A Python package to determine the feasibility of coding tasks using GPT-3.
• taskflowai — TaskFlowAI is a lightweight, open-source python framework for building LLM based pipelines and multi-agent teams
• taskgen-ai — A Task-based agentic framework building on StrictJSON outputs by LLM agents
• taskpath — Webapp that breaks down tasks into smaller pieces and provides a checklist.
• taxonomy-connector — Taxonomy connector
• taxonomy-synthesis — An AI-driven framework for synthesizing adaptive taxonomies, enabling automated data categorization and classification within dynamic hierarchical structures.
• tcalls — LLMs tool calling made easy
• teams-ai — SDK focused on building AI based applications for Microsoft Teams.
• teams-ai-azml — SDK focused on building AI based applications for Microsoft Teams.
• teams-ai-azml-model — SDK focused on building AI based applications for Microsoft Teams.
• TeaRoute — Trainable, efficient, autonomous routing.
• techv.ai — Techvantage AI Developer Toolkit