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@agent-ai-sdk/chat-ui

v1.0.5

Published

Minimal React chat window UI for `ai-chat-kit` backends (streaming SSE).

Readme

@agent-ai-sdk/chat-ui

Minimal React chat window UI for ai-chat-kit backends (streaming SSE).

UI Component Preview

| Chat | History | | --- | --- | | Chat UI - Chat tab | Chat UI - History tab | | Chat UI - Assistant tab | Chat UI - Spec tab |

Features

  • Streaming chat (SSE): token-by-token assistant rendering with Stop + Reset controls.
  • Conversation history: list/refresh conversations, load a conversation into chat, delete conversation, and clear all history.
    • Falls back to legacy GET /chat/history?userId=... if newer conversation endpoints aren’t available.
  • Model picker: configurable model options; sends { model, conversationId } in params.
  • Chat modes: Agent / Plan / Debug / Ask (adds a lightweight prompt prefix to guide responses).
  • Message rendering: lightweight “markdown-ish” UI with headings, lists, blockquotes, inline code, and fenced code blocks (with Copy).
  • Attachments: attach files (name/type/size are appended into the prompt; files are not uploaded).
  • Keyboard UX: Enter to send, Shift+Enter for a newline.
  • Layout customization: title, width, maxWidth, bodyHeight, and per-tab subtitles.

Install

npm i @agent-ai-sdk/chat-ui

Peer dependencies

  • react (>= 18)
  • react-dom (>= 18)

Usage (Vite + React)

import { ChatWindow } from "@agent-ai-sdk/chat-ui";

export default function App() {
  return (
    <div style={{ padding: 24 }}>
      <ChatWindow
        userId="demo-user"
        endpoint="http://localhost:8000/chat/stream"
      />
    </div>
  );
}

Backend requirement (Python / FastAPI)

This UI expects an ai-chat-kit compatible backend that supports SSE streaming at:

  • POST /chat/stream (returns text/event-stream)

If you’re using this repo’s backend library (Backend/fastapi-ai-chat), install it from PyPI:

python -m pip install "fastapi-ai-chat"

Minimal FastAPI app using the backend library (import example):

from fastapi_ai_chat import create_app

app = create_app(
      gemini_api_key='your_key'
        openai_api_key='your_key',
        anthropic_api_key='your_key',
    # Optionally pass keys directly, or set env vars like OPENAI_API_KEY / ANTHROPIC_API_KEY  
)

Author