💭 一个可二次开发 Chat Bot 单轮对话 Web 端 MVP 原型模板, 基于 Vue 3, Vite7, TypeScript, Naive UI, Pinia(v3), UnoCSS 等主流技术构建, 🧤简单集成大模型 API, 采用单轮 AI 问答对话模式, 每次提问独立响应, 无需上下文, 支持 SSE 打字机效果流式输出, 集成 markdown-it Mermaid/KaTex/LaTex 公式高亮预览, 星火, 智谱, 硅基流动, Deepseek V3/R1 深度思考推理模型预览, 兼容 <think> 标签, 💼 易于定制和快速搭建 Chat 类大语言模型产品 (附示例截图)

Chat example app using Server Sent Events plus REST calls. Scala, Play Framework 2.3, AngularJS or React (alternatively).

🏄‍♂️ Next.js 16 web UI for OpenCode - real-time chat with streaming, SSE sync, and React Server Components

⚡️ tRPC with Server-Sent Events

CarrotAI is a cutting-edge AI agent application that delivers real-time streaming chat via Server-Sent Events (SSE) with built-in Model Control Protocol (MCP) integration. It supports concurrent connections to multiple SSE MCP servers and provides user interfaces in English, Chinese, and Japanese.

uniapp，sse封装，兼容app、浏览器、微信小程序、v2、v3

Chat app written in Go with HTMX and SSE

Smart OpenAI‑compatible proxy for llama.cpp: manages slots, saves/restores KV cache to disk, routes requests by prefix similarity, and protects hot slots from being overwritten. Accelerates long prompts (30–60k tokens) via instant reuse or fast on‑demand restore; supports SSE streaming and non‑stream JSON over /v1/chat/completions.

ChatGPT web端看不到响应数据的原理及例子

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Chat App with notifications system and several server updates client side technologies, Using Websocket , SSE, Short and Long - Polling Connections

A little example chat script, which uses server sent events instead of polling.

Chat Example Application Using SvelteJS and Chat

A beginner-friendly client for the MCP (Model Context Protocol). Connect to SSE, NPX, and UV servers, and integrate with OpenAI for dynamic tool interactions. Perfect for exploring server connections and chat enhancements.

Simple chat based on EventSource SSE

Unified web dashboard for scraping Douyin, TikTok, Reddit, X and YouTube — FastAPI + Vue 3, real-time SSE logs, AI chat analysis

🤖 **核心技术：** 无状态匿名代理、实时SSE流式转换、OpenAI格式兼容 (v1/chat/completions)、多LLM模型支持 (Grok/Gemini/DeepSeek)、生产级CORS/TraceID/错误处理。**[无需Cookie，无需无头浏览器，专注于协议转换与兼容性]**

使用Spring Boot作为后端，Vue作为前端，采用SSE技术实现类似GPT官网的打字机效果和语言交互。

Extensible SSE chat rendering framework for React

A lightweight AI chat system powered by Doubao API, featuring RAG pipeline, SSE streaming, Agent tool-calling, and multi-session context control.

FastAPI 异步高并发架构、OpenAI 接口完全兼容 ( /v1/chat/completions )、Puter.js 逆向桥接、多账号自动轮询负载均衡、SSE 流式响应转换、请求头伪装 (Referer/Origin Spoofing) 与反检测、本地 SQLite 数据持久化、无需浏览器 (Pure HTTP Client)、支持 GPT-4o/Claude-3.5/Flux 等全模型。

Chat application demo with server sent events in spring boot

Basic Chat demonstration with server-sent events (SSE)

自动 Session 刷新（每次请求生成全新 16 位 Session ID，绕过 Typli 1000 词额度限制）| 指纹伪装（硬编码 Chrome 142 User-Agent/Headers，实现高级匿名与反检测）| 协议转换（将上游 Typli 的自定义 SSE 和图片 API 完美转换为标准 OpenAI v1/chat/completions 流式接口）| 智能路由（统一接口智能区分聊天/文生图模型，无需单独配置）| 完全无状态（无需自备或持久化 Cookie / Token / 密钥）

Cloudflare Worker for converting Japanese text to Hiragana, Katakana, or Romaji using Kuroshiro, with a simple REST API and OpenAI‑compatible chat completions (optional SSE streaming).

An attempt to do server push with server sent events and zeromq.

py4web app with socketio, simple chat server, python-socketio example, py4web sockjs example, server sent events, sse

A simple Chat example only using NodeJS (Express+BodyParser) and SSE

The MCP-RAG project is an AI agent framework based on the Multi-Context Protocol that connects various data sources (MySQL, documents, RAG search) with LLMs. It supports HTTP API, SSE chat, an MCP router, batch workers, and a React + Tailwind frontend.

A deep-dive reference tracing every layer of the stack when you send a prompt to an LLM chat, from keystroke to streamed token. Covers tokenization, KV cache, prefill/decode, sampling, SSE streaming, and more.