FastAPI wrapper for Meta AI with chat, image generation & video generation. Easy deployment with cookie-based auth. 🚀
This project seamlessly integrates a web-based interface with advanced AI to enable natural language interactions with a relational database. Utilizing Python, Streamlit for the frontend, and OpenAI for intelligent responses, it connects to a Postgres database for efficient data retrieval and features conversation history saving for easy reference.
Unified LLM API client library for Python. Simple API for Chat, Embedding, Rerank, and Tokenizer. OpenAI-compatible with streaming support and unified usage tracking.
'Open Chat': Open-Source Modularized Chat-Interface and API for (AI-)Chat users and developers
🖼️ Enhance images effortlessly by adding or removing objects with the Qwen-Image-Edit-Object-Manipulator, ensuring realism and background detail.
Server-side Python SDK for JuggleIM — users, messages, groups, chatrooms, conversations, history, moderation, and bots.
This project implements Advanced Python Scheduler (APScheduler) with Flask and stores the jobs in MongoDB jobstore
Accelerate Qwen3.5 KVCache with TurboQuant MLX-LM tools for prompt caching, quantized attention, and research-ready evals
Deploy a local Qwen3.5-9B multimodal AI with GPU inference supporting web search, image queries, file reading, and an OpenAI-compatible API.
Nexconn Server SDK for Python — integrate the Chat API from your backend with typed client models.
An async, provider-neutral Python library for Chat, native strict structured output, named-entity recognition (NER), and embeddings.
🌉 Lightweight Multi-Model LLM API Unified Gateway - 轻量级多模型LLM API统一网关
A FastAPI-based example application that provides a chat interface using OpenAI's models with streaming support. Features include the ability to start and abort chat generation using three approaches for managing state: In-Memory, PostgreSQL, and Redis. Scalable and suitable for diverse use cases.
Flask implementation of chat application backend (User API)
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