DolphinDream

Book Browser Application — Architecture Document

Status: Architecture Complete, Ready for Implementation Created: 2026-03-21 Replaces: apps/cover-reviewer/ (to be retired)

---

Table of Contents

DolphinDream

Universal LLM Chatbot Module — Architecture Plan

Context

Problem: When building web apps (React Flow crash course, book library, financial adviser), you often want to chat with an LLM within the app itself — asking it to manipulate app state, query data, provide recommendations, etc. Currently this intelligence lives outside the app (in VS Code chat), disconnected from the running application.

Goal: Build a reusable chatbot module with two parts — a React widget (drop-in chat panel) and a FastAPI backend (LLM proxy + tool orchestration). Each host app provides an adapter that defines what the LLM can see and do within that specific app.

First integration: React Flow crash course — the LLM acts as a tutor that can add/remove/modify nodes on the canvas, navigate to lessons, explain concepts, and help design custom node layouts.

DolphinDream

{
  "export_version": "0.10",
  "framed_nodes": {},
  "groups": {},
  "nodes": {
    "List Statistics": {
      "bl_idname": "SvListStatisticsNode",
      "custom_socket_props": {},
      "height": 100.0,
      "hide": false,