OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.
-
Updated
Feb 19, 2026 - Python
OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.
This is an opensource project allowing you to compare two LLM's head to head with a given prompt, this section will be regarding the backend of this project, allowing for llm api's to be incorporated and used in the front-end
A unified REST API that wraps web-based LLM sessions (ChatGPT, Claude, Google AI Studio) into a standard interface using headless automation. Access your web-tier subscriptions programmatically without per-token API costs.
API REST para entrenamiento y predicción de modelos de Machine Learning
A modular, plugin-based framework for verifying the true identity of models behind LLM APIs. / 模块化的 LLM 指纹识别与 API 模型身份验证框架。
Automated GitHub Action using LLMs API for code review, security auditing, and intelligent issue generation from commits and PRs.
Analyze and explore Kaltura videos using Large Language Models (LLMs) for real-time insights and interactive chat experiences.
Multi-provider LLM abstraction layer with automatic fallbacks and cost tracking
API server for `llm` CLI tool
A technical implementation guide for Google's Gemini 3 Pro API with Python examples and agentic workflows.
NITW Chatbot is a Retrieval-Augmented Generation (RAG) based AI system that answers queries using official institutional documents. It scrapes PDFs, generates embeddings, stores them in a FAISS vector index, and retrieves relevant context for LLM-based response generation, ensuring grounded and accurate answers.
Request-handling component for integrating LLMs into the test framework via Strawberry API. Aims to improve test clarity and address coverage stalls.
LLM Rosetta Stone: translate between LLM provider APIs (OpenAI, Anthropic, Google, Ollama) via a unified intermediate representation
Add a description, image, and links to the llm-api topic page so that developers can more easily learn about it.
To associate your repository with the llm-api topic, visit your repo's landing page and select "manage topics."