From 53e3cc0f72f2f00cc4967be4f4bcdfd17c5176eb Mon Sep 17 00:00:00 2001 From: Cordero Core Date: Tue, 2 Jun 2026 15:21:54 -0700 Subject: [PATCH 01/15] feat(port): scaffold Turborepo with web, admin, and shared UI Phase 0 of the Django -> TypeScript migration. Stand up a two-app monorepo (apps/web for students, apps/admin for instructors) sharing a packages/ui design system, with /api/hello smoke test + Vitest on web. apps/web: Vite + React 19 + Tailwind 4 + Hono on Cloudflare Workers, Drizzle/Neon stubs, WorkOS + Vercel AI SDK scaffolds. packages/ui: UW Husky Purple chrome + Heritage Gold AI semantics, Geist Sans/Mono typography, 11 components, Phosphor icons, five subtle motion moments with prefers-reduced-motion respect, collapsible sidebar with localStorage persistence. The Django stack (apps/{accounts,conversations,homeworks,llm}, src/, services/) is unchanged and remains the source of truth until cutover. --- .gitignore | 14 + README.md | 43 + apps/admin/.gitignore | 12 + apps/admin/README.md | 41 + apps/admin/package.json | 30 + apps/admin/src/client/App.tsx | 105 + apps/admin/src/client/index.html | 12 + apps/admin/src/client/main.tsx | 10 + apps/admin/tsconfig.json | 22 + apps/admin/tsconfig.node.json | 11 + apps/admin/vite.config.ts | 20 + apps/web/.dev.vars.example | 4 + apps/web/.gitignore | 14 + apps/web/README.md | 14 + apps/web/drizzle.config.ts | 12 + apps/web/package.json | 44 + apps/web/src/client/App.tsx | 256 + apps/web/src/client/index.html | 12 + apps/web/src/client/main.tsx | 10 + apps/web/src/db/client.ts | 10 + apps/web/src/db/schema.ts | 7 + apps/web/src/lib/ai.ts | 12 + apps/web/src/lib/workos.ts | 10 + apps/web/src/server/index.ts | 17 + apps/web/src/server/routes/hello.test.ts | 32 + apps/web/src/server/routes/hello.ts | 33 + apps/web/src/shared/types.ts | 17 + apps/web/tsconfig.json | 25 + apps/web/tsconfig.node.json | 11 + apps/web/tsconfig.worker.json | 12 + apps/web/vite.config.ts | 42 + apps/web/vitest.config.ts | 8 + apps/web/wrangler.jsonc | 19 + docs/design-system/README.md | 99 + docs/design-system/aesthetic.md | 238 + docs/design-system/components.md | 234 + docs/design-system/principles.md | 71 + docs/design-system/tokens.md | 240 + .../2026-06-01-llteacher-fullstack-port.md | 1124 ++ ...06-01-llteacher-platform-generalization.md | 825 ++ package-lock.json | 9199 +++++++++++++++++ package.json | 26 + packages/ui/.gitignore | 6 + packages/ui/README.md | 31 + packages/ui/package.json | 28 + packages/ui/src/components/Badge.tsx | 69 + packages/ui/src/components/Button.tsx | 112 + packages/ui/src/components/CodeBlock.tsx | 53 + packages/ui/src/components/Composer.tsx | 104 + .../ui/src/components/ConversationView.tsx | 119 + packages/ui/src/components/Input.tsx | 126 + packages/ui/src/components/Message.tsx | 87 + packages/ui/src/components/SectionItem.tsx | 87 + packages/ui/src/components/Sidebar.tsx | 186 + packages/ui/src/components/Spinner.tsx | 41 + packages/ui/src/components/TopNav.tsx | 73 + packages/ui/src/index.ts | 41 + packages/ui/styles.css | 1438 +++ packages/ui/tsconfig.json | 21 + turbo.json | 37 + 60 files changed, 15656 insertions(+) create mode 100644 apps/admin/.gitignore create mode 100644 apps/admin/README.md create mode 100644 apps/admin/package.json create mode 100644 apps/admin/src/client/App.tsx create mode 100644 apps/admin/src/client/index.html create mode 100644 apps/admin/src/client/main.tsx create mode 100644 apps/admin/tsconfig.json create mode 100644 apps/admin/tsconfig.node.json create mode 100644 apps/admin/vite.config.ts create mode 100644 apps/web/.dev.vars.example create mode 100644 apps/web/.gitignore create mode 100644 apps/web/README.md create mode 100644 apps/web/drizzle.config.ts create mode 100644 apps/web/package.json create mode 100644 apps/web/src/client/App.tsx create mode 100644 apps/web/src/client/index.html create mode 100644 apps/web/src/client/main.tsx create mode 100644 apps/web/src/db/client.ts create mode 100644 apps/web/src/db/schema.ts create mode 100644 apps/web/src/lib/ai.ts create mode 100644 apps/web/src/lib/workos.ts create mode 100644 apps/web/src/server/index.ts create mode 100644 apps/web/src/server/routes/hello.test.ts create mode 100644 apps/web/src/server/routes/hello.ts create mode 100644 apps/web/src/shared/types.ts create mode 100644 apps/web/tsconfig.json create mode 100644 apps/web/tsconfig.node.json create mode 100644 apps/web/tsconfig.worker.json create mode 100644 apps/web/vite.config.ts create mode 100644 apps/web/vitest.config.ts create mode 100644 apps/web/wrangler.jsonc create mode 100644 docs/design-system/README.md create mode 100644 docs/design-system/aesthetic.md create mode 100644 docs/design-system/components.md create mode 100644 docs/design-system/principles.md create mode 100644 docs/design-system/tokens.md create mode 100644 docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md create mode 100644 docs/superpowers/plans/2026-06-01-llteacher-platform-generalization.md create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 packages/ui/.gitignore create mode 100644 packages/ui/README.md create mode 100644 packages/ui/package.json create mode 100644 packages/ui/src/components/Badge.tsx create mode 100644 packages/ui/src/components/Button.tsx create mode 100644 packages/ui/src/components/CodeBlock.tsx create mode 100644 packages/ui/src/components/Composer.tsx create mode 100644 packages/ui/src/components/ConversationView.tsx create mode 100644 packages/ui/src/components/Input.tsx create mode 100644 packages/ui/src/components/Message.tsx create mode 100644 packages/ui/src/components/SectionItem.tsx create mode 100644 packages/ui/src/components/Sidebar.tsx create mode 100644 packages/ui/src/components/Spinner.tsx create mode 100644 packages/ui/src/components/TopNav.tsx create mode 100644 packages/ui/src/index.ts create mode 100644 packages/ui/styles.css create mode 100644 packages/ui/tsconfig.json create mode 100644 turbo.json diff --git a/.gitignore b/.gitignore index 121cbba3..10e03ae2 100644 --- a/.gitignore +++ b/.gitignore @@ -115,3 +115,17 @@ cython_debug/ # Django specific staticfiles/ +# pixi environments +.pixi/* +!.pixi/config.toml + +# apps/web + apps/admin — un-ignore TS source lib directories the Python `lib/` pattern above matches by accident +!apps/web/src/lib/ +!apps/web/src/lib/** +!apps/admin/src/lib/ +!apps/admin/src/lib/** + +# Turborepo monorepo +node_modules/ +.turbo/ +.turbo-cache/ diff --git a/README.md b/README.md index beb06f23..0370fee8 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,50 @@ # LLTeacher v2 +> **Turborepo monorepo.** TypeScript / React 19 / Vite / Tailwind 4 / Cloudflare Workers stack. +> Two workspaces today: `apps/web` (student-facing, port 2311) and `apps/admin` (instructor console, port 2312). +> Django legacy (`apps/accounts`, `apps/conversations`, `apps/homeworks`, `apps/llm`, plus `src/`, `services/`) +> remains the source of truth until cutover. +> See `docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md`. + AI-assisted educational platform for teachers and students. +## Monorepo layout + +``` +llteacher/ +├── package.json # root — npm workspaces + Turborepo task runner +├── turbo.json # task pipeline (build, dev, typecheck, test) +├── pyproject.toml # root — uv workspaces for Django apps +│ +├── apps/ +│ ├── web/ # TS workspace: student-facing app (port 2311) +│ ├── admin/ # TS workspace: instructor console (port 2312) +│ ├── accounts/ # Django legacy: user model + auth +│ ├── conversations/ # Django legacy: AI conversation + submission +│ ├── homeworks/ # Django legacy: homework + section CRUD +│ └── llm/ # Django legacy: LLM config + provider +│ +├── src/llteacher/ # Django project root +├── services/ # Django service layer (uv workspace) +└── docs/design-system/ # shared design system docs +``` + +The two manifest systems coexist in `apps/`: each TS workspace has a `package.json` (npm reads these), each Django workspace has a `pyproject.toml` (uv reads these). Neither tool sees the other's apps. + +### Common commands (from repo root) + +```bash +npm install # install all TS workspaces +npx turbo dev # boot all dev servers (web on 2311, admin on 2312) +npx turbo build # build all TS workspaces +npx turbo typecheck # tsc -b across all TS workspaces +npx turbo test # run all TS test suites +``` + +Or scope to one workspace: `npm run dev --workspace=llteacher-web`. + +The Django stack still uses its own commands (`uv run python run_tests.py`, `python manage.py runserver`) and is unaffected by Turborepo. + ## 🚀 Project Status **Phase 1 Complete**: Data Models & Testing Infrastructure ✅ diff --git a/apps/admin/.gitignore b/apps/admin/.gitignore new file mode 100644 index 00000000..5e1e2368 --- /dev/null +++ b/apps/admin/.gitignore @@ -0,0 +1,12 @@ +node_modules/ +dist/ +.env +.env.* +!.env.example +*.tsbuildinfo +*.config.d.ts +*.config.js +*.log +.DS_Store +coverage/ +.turbo/ diff --git a/apps/admin/README.md b/apps/admin/README.md new file mode 100644 index 00000000..541ee2e1 --- /dev/null +++ b/apps/admin/README.md @@ -0,0 +1,41 @@ +# llteacher-admin + +Instructor-facing console for LLteacher. Sibling workspace to `apps/web/` in the Turborepo. + +## Run + +From the repo root: + +```bash +npm install # installs workspaces +npx turbo dev # boots both web (2311) and admin (2312) +``` + +Or just this workspace: + +```bash +npm run dev --workspace=llteacher-admin # admin only on http://localhost:2312 +``` + +## Scope + +This is currently a **minimal scaffold**. It renders the shared UW Purple chrome (top nav + sidebar) with placeholder content. The instructor surfaces it will eventually own: + +- Course / homework / section authoring +- Student roster and submission review +- Conversation grading (replaces Django's submission detail view) +- LLM configuration + +## Shared design tokens — known duplication + +`src/client/styles.css` is currently a **copy** of `apps/web/src/client/styles.css`. The next monorepo task is extracting both copies into a `packages/ui` shared workspace so the design system lives in one place. Until then, any token changes need to be made in both files. + +## What admin does NOT have yet (vs. `apps/web/`) + +- No Cloudflare Worker — admin is a static SPA in this scaffold. A Hono Worker will be added when admin needs an API. +- No Drizzle / Neon — same reason. +- No WorkOS / AI SDK / Wrangler — added when needed. + +## Port + +`2312` — sits next to web's `2311`. Both ports use Vite's `strictPort: true` so they fail loudly if taken rather than silently picking another. diff --git a/apps/admin/package.json b/apps/admin/package.json new file mode 100644 index 00000000..c1c7b67f --- /dev/null +++ b/apps/admin/package.json @@ -0,0 +1,30 @@ +{ + "name": "llteacher-admin", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "preview": "vite preview", + "typecheck": "tsc -b", + "test": "vitest run --passWithNoTests", + "test:watch": "vitest" + }, + "dependencies": { + "@llteacher/ui": "*", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "react-router": "^7.0.0" + }, + "devDependencies": { + "@tailwindcss/vite": "^4.0.0", + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "@vitejs/plugin-react": "^4.3.0", + "tailwindcss": "^4.0.0", + "typescript": "^5.7.0", + "vite": "^6.0.0", + "vitest": "^2.1.0" + } +} diff --git a/apps/admin/src/client/App.tsx b/apps/admin/src/client/App.tsx new file mode 100644 index 00000000..869087bc --- /dev/null +++ b/apps/admin/src/client/App.tsx @@ -0,0 +1,105 @@ +/* -------------------------------------------------------------------------- + LLteacher Admin — minimal scaffold. + + This is the instructor-facing surface. It will eventually own: + · Course / homework / section authoring + · Student roster and submission review + · Conversation grading + · LLM configuration + + Today it renders the UW chrome (top nav + sidebar) with a placeholder + main column so the design language is locked in from day 1 of admin work. + -------------------------------------------------------------------------- */ + +import { Books, Notebook, Tray, Sparkle, CaretRight } from "@phosphor-icons/react"; + +export default function App() { + return ( +
+ {/* Top nav — UW Husky Purple chrome, mirrors the student web/ app */} +
+
+ LLteacher + + + ADMIN · UNIVERSITY OF WASHINGTON + +
+
+ STATS 311 · AUTUMN 2026 · INSTRUCTOR CONSOLE +
+
+ +
+
+ +
+ {/* Sidebar — placeholder rail using the same UW Husky Purple chrome */} + + + {/* Main column — placeholder */} +
+
+
+
ADMIN · CONSOLE · PLACEHOLDER
+
+
+

+ This is the instructor admin surface. The student-facing + chat product lives at the web workspace on + port 2311; this admin app lives here on port 2312. +

+

+ The design tokens, top nav, and sidebar chrome are + intentionally shared so both surfaces feel like one + product. Course authoring, submission grading, and LLM + configuration will live here. +

+
+
+
+
+
+
+
+ ); +} diff --git a/apps/admin/src/client/index.html b/apps/admin/src/client/index.html new file mode 100644 index 00000000..eff4a555 --- /dev/null +++ b/apps/admin/src/client/index.html @@ -0,0 +1,12 @@ + + + + + + LLteacher Admin + + +
+ + + diff --git a/apps/admin/src/client/main.tsx b/apps/admin/src/client/main.tsx new file mode 100644 index 00000000..9904207f --- /dev/null +++ b/apps/admin/src/client/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "@llteacher/ui/styles.css"; + +createRoot(document.getElementById("root")!).render( + + + , +); diff --git a/apps/admin/tsconfig.json b/apps/admin/tsconfig.json new file mode 100644 index 00000000..704ebb04 --- /dev/null +++ b/apps/admin/tsconfig.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "target": "ES2022", + "useDefineForClassFields": true, + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "types": ["vite/client"] + }, + "include": ["src/client"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/apps/admin/tsconfig.node.json b/apps/admin/tsconfig.node.json new file mode 100644 index 00000000..97ede7ee --- /dev/null +++ b/apps/admin/tsconfig.node.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true, + "strict": true + }, + "include": ["vite.config.ts"] +} diff --git a/apps/admin/vite.config.ts b/apps/admin/vite.config.ts new file mode 100644 index 00000000..dd34adb6 --- /dev/null +++ b/apps/admin/vite.config.ts @@ -0,0 +1,20 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; +import tailwindcss from "@tailwindcss/vite"; + +export default defineConfig({ + root: "src/client", + server: { + port: 2312, + strictPort: true, + }, + preview: { + port: 2312, + strictPort: true, + }, + build: { + outDir: "../../dist/client", + emptyOutDir: true, + }, + plugins: [react(), tailwindcss()], +}); diff --git a/apps/web/.dev.vars.example b/apps/web/.dev.vars.example new file mode 100644 index 00000000..2be3c739 --- /dev/null +++ b/apps/web/.dev.vars.example @@ -0,0 +1,4 @@ +DATABASE_URL="postgresql://user:password@host.neon.tech/llteacher?sslmode=require" +WORKOS_API_KEY="sk_test_placeholder" +WORKOS_CLIENT_ID="client_placeholder" +OPENROUTER_API_KEY="sk-or-v1-placeholder" diff --git a/apps/web/.gitignore b/apps/web/.gitignore new file mode 100644 index 00000000..a669d2b7 --- /dev/null +++ b/apps/web/.gitignore @@ -0,0 +1,14 @@ +node_modules/ +dist/ +.dev.vars +.wrangler/ +.vite/ +.env +.env.* +!.env.example +*.tsbuildinfo +*.config.d.ts +*.config.js +*.log +.DS_Store +coverage/ diff --git a/apps/web/README.md b/apps/web/README.md new file mode 100644 index 00000000..7d187a27 --- /dev/null +++ b/apps/web/README.md @@ -0,0 +1,14 @@ +# llteacher-web + +TypeScript / React 19 / Vite / Tailwind 4 / Hono / Cloudflare Workers / Drizzle / Neon port of LLteacher. + +## Setup + +1. `npm install` +2. Copy `.dev.vars.example` to `.dev.vars` and fill in real values. +3. `npm run db:migrate` (after Drizzle schema exists in Phase 1). +4. `npm run dev` to start Vite + Wrangler in dev mode. + +## Phase 0 status + +Scaffolding only. Auth, LLM, real routes land in subsequent phases (see `../docs/superpowers/plans/`). diff --git a/apps/web/drizzle.config.ts b/apps/web/drizzle.config.ts new file mode 100644 index 00000000..98aa55cf --- /dev/null +++ b/apps/web/drizzle.config.ts @@ -0,0 +1,12 @@ +import { defineConfig } from "drizzle-kit"; + +export default defineConfig({ + schema: "./src/db/schema.ts", + out: "./src/db/migrations", + dialect: "postgresql", + dbCredentials: { + url: process.env.DATABASE_URL!, + }, + verbose: true, + strict: true, +}); diff --git a/apps/web/package.json b/apps/web/package.json new file mode 100644 index 00000000..22fd360c --- /dev/null +++ b/apps/web/package.json @@ -0,0 +1,44 @@ +{ + "name": "llteacher-web", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "preview": "vite preview", + "deploy": "wrangler deploy", + "typecheck": "tsc -b", + "test": "vitest run", + "test:watch": "vitest", + "db:generate": "drizzle-kit generate", + "db:migrate": "drizzle-kit migrate", + "db:studio": "drizzle-kit studio" + }, + "dependencies": { + "@ai-sdk/openai": "^2.0.106", + "@llteacher/ui": "*", + "@neondatabase/serverless": "^0.10.0", + "@workos-inc/node": "^7.0.0", + "ai": "^5.0.0", + "drizzle-orm": "^0.36.0", + "hono": "^4.6.0", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "react-router": "^7.0.0" + }, + "devDependencies": { + "@cloudflare/vite-plugin": "^1.0.0", + "@cloudflare/workers-types": "^4.20250101.0", + "@tailwindcss/vite": "^4.0.0", + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "@vitejs/plugin-react": "^4.3.0", + "drizzle-kit": "^0.28.0", + "tailwindcss": "^4.0.0", + "typescript": "^5.7.0", + "vite": "^6.0.0", + "vitest": "^2.1.0", + "wrangler": "^3.95.0" + } +} diff --git a/apps/web/src/client/App.tsx b/apps/web/src/client/App.tsx new file mode 100644 index 00000000..c275138d --- /dev/null +++ b/apps/web/src/client/App.tsx @@ -0,0 +1,256 @@ +import { useEffect, useState } from "react"; +import { Sidebar, TopNav, ConversationView, CodeBlock } from "@llteacher/ui"; +import type { SidebarSection, MessageData } from "@llteacher/ui"; + +/* ========================================================================== + LLTeacher v2 — Chat-with-syllabus shell + Section 3 P-Values — STATS 311, Homework 3 + + Three-zone vertical shell: + [TOP NAV — UW Husky Purple, full-bleed 56px] + [Sidebar 240px UW Husky Purple] [Conversation max 720px paper] + + The top nav carries branding, course/term/homework context, and the user + account menu. The sidebar carries the homework syllabus (section progress) + for the current homework only — not generic thread history. + + Purple is the chrome. Heritage Gold is the AI's voice. Paper is the content. + ========================================================================== */ + +/* -- Worker status ping ---------------------------------------------------- */ + +type HelloResponse = { message: string; ping_id: string }; + +function useWorkerStatus() { + const [status, setStatus] = useState(null); + const [loading, setLoading] = useState(true); + + useEffect(() => { + fetch("/api/hello") + .then((r) => { + if (!r.ok) throw new Error(`status ${r.status}`); + return r.json() as Promise; + }) + .then((data) => { + setStatus(data.ping_id.slice(0, 8)); + setLoading(false); + }) + .catch(() => { + setStatus(null); + setLoading(false); + }); + }, []); + + return { status, loading }; +} + +/* -- Homework sections fixture data ---------------------------------------- */ + +/** localStorage key for the sidebar collapsed preference. Namespaced so it + doesn't collide with future preference keys (`llteacher:*`). */ +const SIDEBAR_COLLAPSED_KEY = "llteacher:sidebar-collapsed"; + +const INITIAL_SECTIONS: SidebarSection[] = [ + { number: 1, title: "Random variables", status: "submitted" }, + { number: 2, title: "Probability distributions", status: "submitted" }, + { number: 3, title: "P-values", status: "current" }, + { number: 4, title: "Confidence intervals", status: "pending" }, + { number: 5, title: "Hypothesis testing", status: "pending" }, +]; + +/* -- Sample conversation messages ------------------------------------------ */ + +const INITIAL_MESSAGES: MessageData[] = [ + { + id: "ai-1", + role: "ai", + content: ( +

What do you think a hypothesis is, exactly?

+ ), + }, + { + id: "student-1", + role: "student", + content: "A guess about what's happening?", + }, + { + id: "ai-2", + role: "ai", + content: ( +

+ Close. More specifically — a claim that can be tested. So if I + claimed this coin is fair, what would you do to test it? +

+ ), + }, + { + id: "student-2", + role: "student", + content: "Flip it a bunch of times and count heads?", + }, + { + id: "ai-3", + role: "ai", + content: ( +

+ Exactly. Say you flip it 100 times and get 70 heads. Is that + suspicious? +

+ ), + }, + { + id: "student-3", + role: "student", + content: "Yeah, but I don't know how suspicious.", + }, + { + id: "ai-4", + role: "ai", + content: ( + <> +

+ That's precisely what a p-value measures. It's the probability of + getting a result this extreme — or more — assuming the coin is + actually fair. If that probability is small, your data is suspicious. +

+

Want to compute one with R?

+ +{`flips <- rbinom(100, 1, 0.5) +sum(flips)`} + + + ), + }, + { + id: "student-4", + role: "student", + content: "So if I got 47 heads, that's not very suspicious?", + }, + { + id: "ai-5", + role: "ai", + isStreaming: true, + content: ( +

+ Right. Now try running the same code but change 0.5 to 0.7 — what do + you get? +

+ ), + }, +]; + +/* ========================================================================== + App — the root component + ========================================================================== */ + +export default function App() { + const { status: workerStatus, loading: workerLoading } = useWorkerStatus(); + const [messages, setMessages] = useState(INITIAL_MESSAGES); + const [sections, setSections] = useState(INITIAL_SECTIONS); + const [currentSection, setCurrentSection] = useState(3); + const [hintCount, setHintCount] = useState(3); + const [justSubmittedSection, setJustSubmittedSection] = useState(null); + /* Sidebar collapse persists across reloads via localStorage. Lazy initializer + reads on first render; the effect below writes whenever the state changes. */ + const [isSidebarCollapsed, setIsSidebarCollapsed] = useState(() => { + if (typeof window === "undefined") return false; + try { + return window.localStorage.getItem(SIDEBAR_COLLAPSED_KEY) === "true"; + } catch { + /* Private mode / disabled storage — fall back to default expanded state */ + return false; + } + }); + + useEffect(() => { + if (typeof window === "undefined") return; + try { + window.localStorage.setItem(SIDEBAR_COLLAPSED_KEY, String(isSidebarCollapsed)); + } catch { + /* localStorage may throw (private mode quota, etc.) — silently ignore */ + } + }, [isSidebarCollapsed]); + + const handleSendMessage = (text: string) => { + /* Add the student message immediately */ + const studentMsg: MessageData = { + id: `student-${Date.now()}`, + role: "student", + content: text, + }; + + /* Placeholder streaming AI response */ + const aiMsg: MessageData = { + id: `ai-${Date.now()}`, + role: "ai", + isStreaming: true, + content: ( +

Thinking about that — give me a moment…

+ ), + }; + + setMessages((prev) => [...prev, studentMsg, aiMsg]); + /* Each AI response counts as a hint — increments trigger the gold flash + on the sidebar's hint-history-row count numeral. */ + setHintCount((n) => n + 1); + }; + + const handleSubmit = (sectionNumber: number) => { + const systemMsg: MessageData = { + id: `system-${Date.now()}`, + role: "system", + content: `· Section ${sectionNumber} submitted for grading ·`, + }; + setMessages((prev) => [...prev, systemMsg]); + + /* Transition the section to submitted and trigger the gold-halo + success animation on its ✓ indicator. The flag clears after the + animation duration (~700ms) so the indicator settles into its + normal submitted state. */ + setSections((prev) => + prev.map((s) => + s.number === sectionNumber ? { ...s, status: "submitted" as const } : s, + ), + ); + setJustSubmittedSection(sectionNumber); + setTimeout(() => setJustSubmittedSection(null), 800); + }; + + return ( +
+ {/* Top nav — UW Husky Purple full-bleed bar */} + + + {/* Sidebar + main row */} +
+ {/* Left rail — homework section progress on UW Husky Purple */} + setIsSidebarCollapsed((c) => !c)} + onSectionSelect={setCurrentSection} + onSubmit={handleSubmit} + workerStatus={workerStatus} + workerLoading={workerLoading} + /> + + {/* Main conversation column — warm paper surface */} + +
+
+ ); +} diff --git a/apps/web/src/client/index.html b/apps/web/src/client/index.html new file mode 100644 index 00000000..fbc521ec --- /dev/null +++ b/apps/web/src/client/index.html @@ -0,0 +1,12 @@ + + + + + + LLteacher + + +
+ + + diff --git a/apps/web/src/client/main.tsx b/apps/web/src/client/main.tsx new file mode 100644 index 00000000..9904207f --- /dev/null +++ b/apps/web/src/client/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "@llteacher/ui/styles.css"; + +createRoot(document.getElementById("root")!).render( + + + , +); diff --git a/apps/web/src/db/client.ts b/apps/web/src/db/client.ts new file mode 100644 index 00000000..f6784c85 --- /dev/null +++ b/apps/web/src/db/client.ts @@ -0,0 +1,10 @@ +import { drizzle } from "drizzle-orm/neon-http"; +import { neon } from "@neondatabase/serverless"; +import * as schema from "./schema"; + +export function makeDb(databaseUrl: string) { + const sql = neon(databaseUrl); + return drizzle(sql, { schema }); +} + +export type Db = ReturnType; diff --git a/apps/web/src/db/schema.ts b/apps/web/src/db/schema.ts new file mode 100644 index 00000000..c472456f --- /dev/null +++ b/apps/web/src/db/schema.ts @@ -0,0 +1,7 @@ +import { pgTable, uuid, text, timestamp } from "drizzle-orm/pg-core"; + +export const pings = pgTable("pings", { + id: uuid("id").primaryKey().defaultRandom(), + message: text("message").notNull(), + createdAt: timestamp("created_at", { withTimezone: true }).defaultNow().notNull(), +}); diff --git a/apps/web/src/lib/ai.ts b/apps/web/src/lib/ai.ts new file mode 100644 index 00000000..01fc49d5 --- /dev/null +++ b/apps/web/src/lib/ai.ts @@ -0,0 +1,12 @@ +import { createOpenAI } from "@ai-sdk/openai"; + +export function getOpenRouter(apiKey: string) { + return createOpenAI({ + apiKey, + baseURL: "https://openrouter.ai/api/v1", + headers: { + "HTTP-Referer": "https://llteacher.uw.edu", + "X-Title": "LLteacher", + }, + }); +} diff --git a/apps/web/src/lib/workos.ts b/apps/web/src/lib/workos.ts new file mode 100644 index 00000000..4c9d2595 --- /dev/null +++ b/apps/web/src/lib/workos.ts @@ -0,0 +1,10 @@ +import { WorkOS } from "@workos-inc/node"; + +let cached: WorkOS | null = null; + +export function getWorkOS(apiKey: string): WorkOS { + if (!cached) { + cached = new WorkOS(apiKey); + } + return cached; +} diff --git a/apps/web/src/server/index.ts b/apps/web/src/server/index.ts new file mode 100644 index 00000000..fcbfbdc4 --- /dev/null +++ b/apps/web/src/server/index.ts @@ -0,0 +1,17 @@ +import { Hono } from "hono"; +import { helloHandler } from "./routes/hello"; + +const app = new Hono<{ Bindings: Env }>(); + +// API routes — registered directly on `app` rather than via app.route(prefix, sub) +// to avoid Hono's prefix-stripping behavior that can cause /api/hello to not +// match a sub-app's `/` handler. +app.get("/api/hello", helloHandler); + +// Everything else: delegate to the static asset binding. +// In dev, this proxies to Vite's pipeline (so HMR + source maps work). +// In prod, it serves built assets, falling back to index.html for SPA routes +// per the `not_found_handling: "single-page-application"` setting in wrangler.jsonc. +app.all("*", (c) => c.env.ASSETS.fetch(c.req.raw)); + +export default app; diff --git a/apps/web/src/server/routes/hello.test.ts b/apps/web/src/server/routes/hello.test.ts new file mode 100644 index 00000000..d98343fa --- /dev/null +++ b/apps/web/src/server/routes/hello.test.ts @@ -0,0 +1,32 @@ +import { describe, it, expect, vi } from "vitest"; +import { hello } from "./hello"; + +vi.mock("../../db/client", () => ({ + makeDb: () => ({ + insert: () => ({ + values: () => ({ + returning: async () => [{ id: "00000000-0000-0000-0000-000000000001", message: "mocked" }], + }), + }), + }), +})); + +describe("GET /api/hello", () => { + it("returns a HelloResponse with mocked message and ping_id", async () => { + const res = await hello.request("/", {}, { DATABASE_URL: "ignored" } as Env); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body).toEqual({ + message: "mocked", + ping_id: "00000000-0000-0000-0000-000000000001", + }); + }); + + it("returns a stub HelloResponse when DATABASE_URL is empty", async () => { + const res = await hello.request("/", {}, { DATABASE_URL: "" } as Env); + expect(res.status).toBe(200); + const body = (await res.json()) as { message: string; ping_id: string }; + expect(body.message).toContain("stub"); + expect(body.ping_id).toMatch(/^[0-9a-f-]{36}$/); + }); +}); diff --git a/apps/web/src/server/routes/hello.ts b/apps/web/src/server/routes/hello.ts new file mode 100644 index 00000000..54586ea4 --- /dev/null +++ b/apps/web/src/server/routes/hello.ts @@ -0,0 +1,33 @@ +import { Hono, type Context } from "hono"; +import { makeDb } from "../../db/client"; +import { pings } from "../../db/schema"; +import type { HelloResponse } from "../../shared/types"; + +export async function helloHandler(c: Context<{ Bindings: Env }>) { + // Dev fallback: when no DATABASE_URL is configured, return a stub so the + // React app renders end-to-end without provisioning Neon. The real Drizzle + // path takes over the moment DATABASE_URL is set in web/.dev.vars. + if (!c.env.DATABASE_URL) { + const resp: HelloResponse = { + message: "Hono Worker is alive. (stub — set DATABASE_URL to hit Neon)", + ping_id: crypto.randomUUID(), + }; + return c.json(resp); + } + + const db = makeDb(c.env.DATABASE_URL); + const [row] = await db + .insert(pings) + .values({ message: "Hello from Hono + Drizzle + Neon." }) + .returning(); + const resp: HelloResponse = { + message: row.message, + ping_id: row.id, + }; + return c.json(resp); +} + +// Sub-app preserved for direct unit testing; production routing happens via +// app.get("/api/hello", helloHandler) in server/index.ts. +export const hello = new Hono<{ Bindings: Env }>(); +hello.get("/", helloHandler); diff --git a/apps/web/src/shared/types.ts b/apps/web/src/shared/types.ts new file mode 100644 index 00000000..4ae45dcf --- /dev/null +++ b/apps/web/src/shared/types.ts @@ -0,0 +1,17 @@ +export type HelloResponse = { + message: string; + ping_id: string; +}; + +// Cloudflare Worker bindings + secrets. Augmented in Phase 1+. +declare global { + interface Env { + DATABASE_URL: string; + WORKOS_API_KEY: string; + WORKOS_CLIENT_ID: string; + OPENROUTER_API_KEY: string; + ASSETS: Fetcher; + } +} + +export {}; diff --git a/apps/web/tsconfig.json b/apps/web/tsconfig.json new file mode 100644 index 00000000..67681545 --- /dev/null +++ b/apps/web/tsconfig.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "target": "ES2022", + "useDefineForClassFields": true, + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "types": ["vite/client"] + }, + "include": ["src/client"], + "references": [ + { "path": "./tsconfig.node.json" }, + { "path": "./tsconfig.worker.json" } + ] +} diff --git a/apps/web/tsconfig.node.json b/apps/web/tsconfig.node.json new file mode 100644 index 00000000..04ccc488 --- /dev/null +++ b/apps/web/tsconfig.node.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true, + "strict": true + }, + "include": ["vite.config.ts", "drizzle.config.ts", "vitest.config.ts"] +} diff --git a/apps/web/tsconfig.worker.json b/apps/web/tsconfig.worker.json new file mode 100644 index 00000000..f8837b0d --- /dev/null +++ b/apps/web/tsconfig.worker.json @@ -0,0 +1,12 @@ +{ + "extends": "./tsconfig.json", + "compilerOptions": { + "composite": true, + "noEmit": false, + "emitDeclarationOnly": true, + "outDir": "./dist/.tsbuildinfo-worker", + "types": ["@cloudflare/workers-types"], + "lib": ["ES2022", "WebWorker"] + }, + "include": ["src/server", "src/shared", "src/db", "src/lib"] +} diff --git a/apps/web/vite.config.ts b/apps/web/vite.config.ts new file mode 100644 index 00000000..2024f9cc --- /dev/null +++ b/apps/web/vite.config.ts @@ -0,0 +1,42 @@ +import { defineConfig, type Plugin } from "vite"; +import react from "@vitejs/plugin-react"; +import tailwindcss from "@tailwindcss/vite"; +import { cloudflare } from "@cloudflare/vite-plugin"; +import { randomUUID } from "node:crypto"; + +// Dev-only middleware that handles /api/* without going through the Worker. +// Production deploys still use the Hono Worker in src/server/. Remove this +// plugin or gate it on an env flag once @cloudflare/vite-plugin routing works +// end-to-end locally. +const devApiStub: Plugin = { + name: "llteacher-dev-api-stub", + apply: "serve", + configureServer(server) { + server.middlewares.use("/api/hello", (_req, res) => { + res.setHeader("Content-Type", "application/json"); + res.end( + JSON.stringify({ + message: "Hono Worker is alive. (dev stub from Vite — provision Neon to hit the real route)", + ping_id: randomUUID(), + }), + ); + }); + }, +}; + +export default defineConfig({ + root: "src/client", + server: { + port: 2311, + strictPort: true, + }, + preview: { + port: 2311, + strictPort: true, + }, + build: { + outDir: "../../dist/client", + emptyOutDir: true, + }, + plugins: [devApiStub, react(), tailwindcss(), cloudflare()], +}); diff --git a/apps/web/vitest.config.ts b/apps/web/vitest.config.ts new file mode 100644 index 00000000..840e944d --- /dev/null +++ b/apps/web/vitest.config.ts @@ -0,0 +1,8 @@ +import { defineConfig } from "vitest/config"; + +export default defineConfig({ + test: { + environment: "node", + include: ["src/**/*.test.ts", "src/**/*.test.tsx"], + }, +}); diff --git a/apps/web/wrangler.jsonc b/apps/web/wrangler.jsonc new file mode 100644 index 00000000..f51018d4 --- /dev/null +++ b/apps/web/wrangler.jsonc @@ -0,0 +1,19 @@ +{ + "$schema": "node_modules/wrangler/config-schema.json", + "name": "llteacher-web", + "main": "src/server/index.ts", + "compatibility_date": "2025-09-01", + "compatibility_flags": ["nodejs_compat"], + "assets": { + "directory": "./dist/client", + "binding": "ASSETS", + "not_found_handling": "single-page-application", + "run_worker_first": true + }, + "observability": { + "enabled": true + }, + "vars": { + // Non-secret vars go here. Secrets live in .dev.vars locally and Wrangler secrets in prod. + } +} diff --git a/docs/design-system/README.md b/docs/design-system/README.md new file mode 100644 index 00000000..be7a12e8 --- /dev/null +++ b/docs/design-system/README.md @@ -0,0 +1,99 @@ +# LLTeacher Design System — v2 + +Documentation for the v2 LLTeacher design system. The v2 aesthetic is a minimal chat application with a structurally distinctive sidebar: the homework syllabus, not a generic thread list. + +Built with React 19, Tailwind 4, and TypeScript on Cloudflare Workers. No new npm dependencies. + +## Table of Contents + +| Document | Contents | +|---|---| +| [principles.md](./principles.md) | Aesthetic direction, design decisions, what was rejected and why | +| [tokens.md](./tokens.md) | Full token reference — raw palette, semantic aliases, dark mode | +| [components.md](./components.md) | Props tables, usage patterns, accessibility notes | +| [aesthetic.md](./aesthetic.md) | Visual language details: type, color, motion, message rendering | + +## Quick Start + +All components export from the barrel at `web/src/client/components/index.ts`: + +```tsx +import { + Sidebar, + ConversationView, + Message, + Composer, + CodeBlock, + SectionItem, + Button, + Input, + Badge, + Spinner, +} from "./components"; +``` + +The showcase lives in `web/src/client/App.tsx`. It renders the full app shell with +fixture data (STATS 311, HW 3, Section 3 P-Values conversation). + +```bash +cd web +npm run typecheck # must exit 0 +npm test # must exit 0, 2 tests +npm run build # must exit 0 +``` + +## File Locations + +``` +web/src/client/ + styles.css Token architecture + component utilities + App.tsx App shell with fixture data + components/ + Sidebar.tsx Section progress rail (the key structural move) + ConversationView.tsx Main column: breadcrumb + messages + composer + Message.tsx Single conversation turn (ai / student / system) + Composer.tsx Sticky input with R-mode toggle + Enter submit + CodeBlock.tsx Code block with optional output slot + SectionItem.tsx Single sidebar section row + Button.tsx Text-link or minimal outlined action + Input.tsx Labelled form field (composer styling, smaller) + Badge.tsx Tiny mono small-caps label + Spinner.tsx Heritage Gold pulsing dot loading indicator + index.ts Barrel export + +docs/design-system/ + README.md This file + principles.md Design decisions and rejections + tokens.md Token reference + components.md Component reference + aesthetic.md Visual language specification +``` + +## The Structural Move + +The left sidebar shows the sections of the current homework assignment — not a list of past conversations. This single decision identifies LLTeacher as a tutoring product, not a general chat interface. + +``` +HW 3 · PROBABILITY AND DISTRIBUTIONS + + Section 1 Random variables ✓ submitted + Section 2 Probability distributions ✓ submitted + Section 3 P-values ● current + Section 4 Confidence intervals ○ + Section 5 Hypothesis testing ○ + + ─── + ◇ Hint history (3) + ▸ Submit Section 3 + + ─── + worker: ok · a3f2b1c9 +``` + +## Dependency Policy + +No new dependencies without deliberate discussion. The system avoids headless UI libraries, icon libraries, and CSS-in-JS. Reasons: + +1. Cloudflare Workers edge runtime makes bundle size meaningful. +2. Accessibility is handled directly in component code. +3. The token system provides theming without a runtime CSS-in-JS engine. diff --git a/docs/design-system/aesthetic.md b/docs/design-system/aesthetic.md new file mode 100644 index 00000000..4e1c06fe --- /dev/null +++ b/docs/design-system/aesthetic.md @@ -0,0 +1,238 @@ +# Visual Language — v2 + +Detailed specification of every visual decision: type, color, layout, message rendering, +compose input, motion. This document is the reference for anyone implementing new screens. + +--- + +## Type system + +**Body / UI:** Geist Sans (`"Geist"`, 400/500/600 weights). +**Code / metadata / section numbers:** Geist Mono (`"Geist Mono"`, 400/500 weights). + +Both loaded via Google Fonts at the top of `styles.css`, before `@import "tailwindcss"`: + +```css +@import url("https://fonts.googleapis.com/css2?family=Geist:wght@400;500;600&family=Geist+Mono:wght@400;500&display=swap"); +``` + +Geist is a modern sans-serif designed by Vercel for code-adjacent product UX. It reads as technically precise but not cold — an appropriate register for a tutoring tool that shows code. Geist Mono pairs with it by design, sharing proportional characteristics. + +What was rejected: Inter (invisible, overused), Roboto (invisible, overused), system font stacks (no personality). + +--- + +## Color system + +**Three zones, three color jobs.** + +**Purple is the chrome.** The top nav and sidebar are both `#32006e` UW Husky Purple. This is not "accent coverage" — per UW brand guidance, primary colors "should be used most often." The sidebar and top nav together form the unified chrome frame of the product. Husky Purple _is_ that frame. + +**Heritage Gold is the AI's voice.** `#85754d` appears only in the main conversation column: the 4px speaker tick at the start of each AI turn, and the pulsing streaming dot. Gold marks the AI without decorating anything else. + +**Paper is the content.** `#FAFAF7` warm off-white is the main conversation column — the reading surface. Every pixel of student-AI exchange happens on this ground. + +--- + +**Top nav — `#32006e` Husky Purple surface:** +- Wordmark "LLteacher": white `#FFFFFF` +- Affiliation tag "· University of Washington": `#E8E3D3` Husky Gold web +- Course breadcrumb: `#E8E3D3` Husky Gold web in Geist Mono small-caps +- User chip: `#B7A57A` Husky Gold print chip, `#32006e` purple initials +- Bottom rule: `#26005A` (deeper purple) + +**Sidebar — `#32006e` Husky Purple surface:** +- HW label: `#B7A57A` Husky Gold print — warm metal mark in a purple field +- Section titles (default): `#E8E3D3` Husky Gold web +- Section titles (current): `#FFFFFF` white, 500 weight +- Section titles (submitted): `#9B8BB8` muted lavender (decorative — also marked by ✓) +- Section Section N numbers: same color as title, Geist Mono +- ✓ submitted indicator: `#B7A57A` Husky Gold print +- ● current indicator: `#FFC700` Spirit Gold — bright, draws the eye +- ○ pending indicator: `#6E5A9C` muted lavender outline +- Hover row background: `#4b2e83` Spirit Purple +- Hover title underline: `#B7A57A` Husky Gold print (not purple — must contrast on the purple bg) +- Divider: `#4b2e83` Spirit Purple +- Hint history row indicator (▪): `#B7A57A` Husky Gold print +- Hint history row label: `#E8E3D3` Husky Gold web (same as default section title) +- Hint history row count: `#B7A57A` Husky Gold print, Geist Mono 12px, right-aligned +- Submit button border (rest): `#B7A57A` Husky Gold print, 1px +- Submit button background (rest): transparent +- Submit button text (rest): `#E8E3D3` Husky Gold web; ▸ in `#B7A57A` Husky Gold print +- Submit button meta line: `READY TO TURN IN` in `#8B73B5` faint lavender, Geist Mono small-caps +- Submit button border (hover): `#FFC700` Spirit Gold +- Submit button background (hover): `#4b2e83` Spirit Purple +- Submit button text (hover): `#FFFFFF` white; ▸ slides 4px right (140ms ease-out) +- Submit button background (active): `#26005A` deeper purple, scale(0.99) +- Focus ring on chrome: `#FFC700` Spirit Gold (`.sidebar :focus-visible`, `.top-nav :focus-visible`) +- Worker colophon: `#8B73B5` faint lavender (ambient text, not essential) + +**Main column — `#FAFAF7` warm off-white:** +- Student bubble: `#F2EFE9` +- Code block: `#F4F1EA` +- Code output: `#EDE9DF` +- AI tick mark: `#85754d` Heritage Gold (unchanged) +- Focus borders, composer focus ring: `#32006e` Husky Purple (unchanged — purple appears on the paper as an interactive signal) + +--- + +## App shell layout + +Three zones, two tiers. The top nav runs full-bleed across the viewport. Below it, the sidebar and conversation column share the remaining height. + +``` +┌──────────────────────────────────────────────────────────────────┐ +│ [TOP NAV — UW Husky Purple, 56px, full-bleed] │ +│ LLteacher · UNIVERSITY OF WASHINGTON | STATS 311 · AUT 2026… │ +│ | HW 3 PROBABILITY… [AC]│ +├───────────────────────────┬──────────────────────────────────────┤ +│ Sidebar (240px, purple) │ Conversation (max 720px, centered) │ +│ │ │ +│ HW 3 · PROBABILITY AND… │ BREADCRUMB (course/hw/section) │ +│ │ │ +│ ✓ Section 1 Random variables │ AI message (no fill) │ +│ ✓ Section 2 Prob. distributions │ Student bubble ▶│ +│ ● Section 3 P-values │ AI message (no fill) │ +│ ○ Section 4 Conf. intervals │ │ +│ ○ Section 5 Hypothesis testing │ [scrollable] │ +│ ─── │ ┌────────────────────────────────┐ │ +│ ▪ Hint history 3 │ │ R Ask, explore, or push back… │ │ +│ ┌─────────────────────┐ │ └────────────────────────────────┘ │ +│ │▸ Submit Section 3 │ │ │ +│ │ READY TO TURN IN │ │ │ +│ └─────────────────────┘ │ │ +│ [spacer] │ │ +│ worker: ok · a3f2b1c9 │ │ +└───────────────────────────┴──────────────────────────────────────┘ +``` + +**Color geography:** +- Top nav + sidebar: UW Husky Purple `#32006e` — unified chrome frame +- Main column: warm off-white `#FAFAF7` — reading surface +- The 1px bottom rule under the top nav (`#26005A`) is the only visual seam between chrome and content + +**Context hierarchy across the two breadcrumbs:** +- Top nav breadcrumb: course · term · homework (global context) +- Column breadcrumb: course · homework · section (local context within the current homework) + +Both are intentionally present — they answer different questions. The top nav says "where in the course are you?" The column says "which section of this homework?" + +--- + +## Message rendering + +### AI message + +No bubble. No border. No fill. Pure text in the main column. + +No speaker mark or "AI" label — the layout difference vs. the right-aligned student bubble is sufficient to identify the AI's voice (same pattern as Claude and ChatGPT). The Heritage Gold semantic still appears on the streaming dots and the composer's focus border + caret. + +Body text: Geist Sans, 16px, line-height 1.7. Paragraphs have 1rem top margin between them. + +Streaming: three Heritage Gold dots (`.streaming-dot > span × 3`) oscillating in a staggered wave (1.4s cycle, 200ms offsets). Appended inline after the last character; removed when streaming completes. No "AI is thinking…" text. + +### Student message + +Right-aligned. Sits inside a soft `#F2EFE9` surface. +Corner radius: `border-radius: 16px 16px 4px 16px`. The bottom-right corner (4px) is the "pointing" corner — the one visual idiosyncrasy that distinguishes this bubble from a generic chat app without being decorative for its own sake. + +Max-width: 80% of the conversation column. + +### System message + +Centered in the column. Very small (12px). Muted. Mono small-caps. No punctuation mark other than the middle dots used as separators. Example: `· Section 3 submitted for grading ·`. + +--- + +## Compose input + +At rest: soft `#F6F3ED` background, 12px border-radius, no visible border, 1px subtle shadow. +On focus: thin 1.5px UW Husky Purple border; shadow removed. The transition is 180ms ease-out. + +Left edge inside the input: an `R` text-link toggle (not a button in the visual sense). In code mode, the input font switches to Geist Mono and the `R` gets an underline. In text mode, it is muted sans-serif. + +Placeholder: `Ask, explore, or push back…` — invites dialogue, not command. + +Submit: Enter key (Shift+Enter inserts a newline). A muted `enter ↵` mono mark at the bottom-right fades in only when the input is focused. It is a reminder, not a button. + +The textarea resizes with content via CSS `field-sizing: content` with a JS fallback for browsers that do not yet support it. + +--- + +## Sidebar section items + +Each section row: indicator (✓ / ● / ○) + Section N number + title text. All rendered on UW Husky Purple `#32006e`. + +- `✓` Submitted: Husky Gold print `#B7A57A` tick (~5.9:1 ✓); muted lavender `#9B8BB8` title — status also reinforced by the tick, so non-text AA exception applies +- `●` Current: Spirit Gold `#FFC700` filled dot (~11.2:1 ✓ AAA); white `#FFFFFF` title, 500 weight (~13:1 ✓ AAA) +- `○` Pending: muted lavender `#6E5A9C` outline; Husky Gold web `#E8E3D3` title (~11:1 ✓ AAA) + +Hover: the row background shifts to Spirit Purple `#4b2e83`. The title turns white. A thin **Husky Gold print** underline appears under just the title text — gold, not purple, because the underline must contrast against the purple background, not the paper background. + +Transition: 120ms ease-out. + +The indicator and Section N number are in Geist Mono; the title is Geist Sans. + +--- + +## Submit affordance + +The highest-leverage action in the homework. Promoted from a flat text-link to a bordered two-line button. + +``` +┌──────────────────────────────────────┐ ← 1px #B7A57A border +│ ▸ Submit Section 3 │ ← Geist Sans 14px medium, #E8E3D3 +│ READY TO TURN IN │ ← Geist Mono 12px small-caps, #8B73B5 +└──────────────────────────────────────┘ +``` + +- Border: 1px `#B7A57A` Husky Gold print — matches the HW label and ✓ ticks; structural, not decorative +- Background: transparent at rest (purple surface shows through) +- Text: Geist Sans 14px, `font-weight: 500`, `#E8E3D3` Husky Gold web +- Leading `▸`: Husky Gold print `#B7A57A`; slides 4px right on hover (140ms ease-out) +- Meta line: `READY TO TURN IN` in Geist Mono 12px small-caps, `#8B73B5` faint lavender — two-line structure echoes the indicator + title rhythm of section items +- Hover: Spirit Purple `#4b2e83` fill, Spirit Gold `#FFC700` border, white text, meta line at 65% opacity white +- Active: `#26005A` deeper purple fill, `scale(0.99)` (100ms) +- Focus: Spirit Gold `#FFC700` ring via `--color-focus-chrome` token + +--- + +## Code blocks + +No rounded corners. Thin 1px border rules at top and bottom only. Warm `#F4F1EA` background. + +Header row: language label in tiny mono small-caps at the top-right (`R`, `PYTHON`, `JS`). +Code body: Geist Mono, 14px, line-height 1.5, `#1A1A1A` text. + +Output zone: `#EDE9DF` background, `OUTPUT` label in same treatment as language label. +Output text: Geist Mono, 14px, `#6B6760` (secondary text). + +--- + +## Motion budget + +| Element | Animation | Duration | +|---|---|---| +| Streaming dot | `llteacher-stream-pulse` (opacity 1 → 0.2 → 1) | 1.2s ease-in-out infinite | +| Compose input border on focus | color transition | 180ms ease-out | +| Sidebar section hover underline | scaleX 0→1 | 120ms ease-out | +| Submit ▸ arrow on hover | translateX 4px | 140ms ease-out | +| Submit button active | scale(0.99) | 100ms ease-out | +| Conversation column page load | opacity 0→1, translateY 6→0 | 240ms ease-out | + +Nothing else moves. No per-message entrance animations. No scale transforms. No spring physics. Pure CSS only — no Motion library, no Framer Motion. + +--- + +## Breadcrumb + +A single line at the top of the conversation column in mono small-caps: + +``` +STATS 311 · HW 3 · Section 3 P-VALUES +``` + +Font: Geist Mono, 12px, `letter-spacing: 0.1em`, `text-transform: uppercase`, muted color. +Separated from the first message by a 1px border at bottom, 1.5rem margin below. + +This gives location context with zero visual weight. No breadcrumb nav, no chevrons, no interactive links. diff --git a/docs/design-system/components.md b/docs/design-system/components.md new file mode 100644 index 00000000..20595590 --- /dev/null +++ b/docs/design-system/components.md @@ -0,0 +1,234 @@ +# Component Reference — v2 + +All components live in `web/src/client/components/`. Import from the barrel: + +```tsx +import { + Sidebar, ConversationView, Message, Composer, CodeBlock, SectionItem, + Button, Input, Badge, Spinner, +} from "./components"; +``` + +--- + +## App shell components + +### TopNav + +The full-bleed UW Husky Purple header bar. 56px tall. Three zones: wordmark (left), breadcrumb (center), user menu (right). + +```tsx + +``` + +Props: `course`, `term`, `homework`, `userInitials`. + +**Left zone:** "LLteacher" wordmark in Geist Sans 600, 17px, white. Followed by "· University of Washington" affiliation tag in Geist Mono 11px, `#E8E3D3` Husky Gold web, uppercase, letter-spacing 0.1em. + +**Center zone:** `STATS 311 · AUTUMN 2026 · HW 3 · PROBABILITY AND DISTRIBUTIONS` in Geist Mono 12px, small-caps, `#E8E3D3`. Truncates with ellipsis if the viewport is narrow. + +**Right zone:** A circular 28px chip in `#B7A57A` Husky Gold print, showing initials in `#32006e` purple. A `›` chevron rotates 90° on click (mock — no dropdown opens). Transition: 140ms ease-out. + +Surface: `#32006e`. Bottom rule: `#26005A` 1px. + +--- + +### Sidebar + +The section progress rail. The structurally distinctive element of LLTeacher. + +```tsx + console.log("selected", n)} + onSubmit={(n) => console.log("submit", n)} + workerStatus="a3f2b1c9" + workerLoading={false} +/> +``` + +Props: `hwNumber`, `hwTitle`, `sections: SidebarSection[]`, `currentSection`, `hintCount?`, `onSectionSelect?`, `onSubmit?`, `workerStatus?`, `workerLoading?`. + +**Surface:** `#32006e` UW Husky Purple — matches the top nav for unified chrome. + +**HW label:** `#B7A57A` Husky Gold print in Geist Mono 11px, uppercase, letter-spacing 0.12em. Structural punctuation — warm metal mark in a purple field. + +**Hint history row (`.hint-history-row`):** Three-column row — indicator · label · count — that echoes the section-item rhythm. Leading `▪` in `#B7A57A` Husky Gold print (8px, same family as the `✓` tick and `■`-form marks). Label "Hint history" in Geist Sans 14px, `#E8E3D3` Husky Gold web. Count numeral right-aligned in Geist Mono 12px, `#B7A57A` Husky Gold print — no parentheses. Hover: Spirit Purple `#4b2e83` row fill; white label; Husky Gold print underline under label only (same pattern as section items). `aria-label` carries the full `"N hints used"` string. + +**Submit affordance (`.submit-action`):** Bordered two-line button — the dominant action in the sidebar. 1px `#B7A57A` Husky Gold print border, transparent rest background, `var(--radius-sm)` 4px radius. Text is Geist Sans 14px medium, `#E8E3D3` Husky Gold web at rest. Leading `▸` in Husky Gold print. Second row inside the button: `READY TO TURN IN` in Geist Mono 12px small-caps, `#8B73B5` faint lavender — gives the button two-line typographic structure. Hover: Spirit Purple `#4b2e83` fill, Spirit Gold `#FFC700` border, white text, `▸` slides 4px right (140ms ease-out). Active: `#26005A` deeper purple, `scale(0.99)` tactile feedback (100ms). Focus ring: `#FFC700` Spirit Gold via `.sidebar :focus-visible` override. + +**Worker colophon:** `#8B73B5` faint lavender — ambient, not essential. + +--- + +### ConversationView + +The main column. Renders breadcrumb + message list + composer. + +```tsx + { /* ... */ }} +/> +``` + +`messages` is `MessageData[]` — a discriminated union on `role: 'ai' | 'student' | 'system'`. +AI message `content` is `React.ReactNode` (may include ``). + +--- + +### Message + +A single conversation turn. Discriminated union on `role`. + +```tsx + +

Here is my response.

+ + + + A guess about what's happening? + + + + · Section 3 submitted at 11:34 · + +``` + +AI messages with `isStreaming={true}` show the Heritage Gold pulsing dot after the content. + +--- + +### Composer + +Sticky compose input with R-mode toggle and Enter-to-submit. + +```tsx + { /* ... */ }} + placeholder="Ask, explore, or push back…" +/> +``` + +The `R` toggle on the left switches between Geist Sans (text) and Geist Mono (code) input mode. +Submit fires on Enter (Shift+Enter inserts a newline). +The `enter ↵` hint is visible only when the input is focused. + +--- + +### CodeBlock + +Monospace code block with optional R output slot. + +```tsx + +{`flips <- rbinom(100, 1, 0.5) +sum(flips)`} + +``` + +No rounded corners. Thin top/bottom border rules. Warm code surface. +Output zone renders in a slightly darker surface with "OUTPUT" label. + +--- + +### SectionItem + +A single row in the sidebar progress list. + +```tsx + setCurrentSection(n)} +/> +``` + +Status values and colors (all rendered on Husky Purple `#32006e` bg): +- `"submitted"` — `#B7A57A` Husky Gold print ✓ tick; `#9B8BB8` muted lavender title (decorative exception — status also shown by tick) +- `"current"` — `#FFC700` Spirit Gold ● dot; `#FFFFFF` white title, 500 weight +- `"pending"` — `#6E5A9C` muted lavender ○ outline; `#E8E3D3` Husky Gold web title + +Hover: Spirit Purple `#4b2e83` row background; white title; `#B7A57A` Husky Gold print underline under title (gold, not purple — the underline must contrast against the purple bg, not the paper bg). + +--- + +## Utility components + +### Button + +Text-link or minimal outlined action. Never a vivid filled pill. + +```tsx + + + + +``` + +Variants: `"default"`, `"accent"` (UW Husky Purple), `"danger"` (error red). +Legacy names `"primary"`, `"secondary"`, `"ghost"` are mapped internally. + +--- + +### Input + +Labelled form field. Composer styling at smaller scale. + +```tsx + +``` + +Soft surface background, no border at rest, UW Husky Purple border on focus. + +--- + +### Badge + +Tiny mono small-caps label. No pill, no vivid fill. + +```tsx +current +submitted +pending +``` + +Variants: `"neutral"`, `"accent"`, `"success"`, `"warning"`, `"danger"`. +`outlined` adds a thin 1px border. + +--- + +### Spinner + +The Heritage Gold pulsing dot loading indicator. + +```tsx + +``` + +Sizes: `"sm"`, `"md"`, `"lg"`. Reuses the `streaming-dot` CSS animation. diff --git a/docs/design-system/principles.md b/docs/design-system/principles.md new file mode 100644 index 00000000..c265e4b3 --- /dev/null +++ b/docs/design-system/principles.md @@ -0,0 +1,71 @@ +# Design Principles — v2 + +Five principles that govern every visual and structural decision in LLTeacher v2. + +--- + +## 1. Familiar bones, distinctive skin + +Students already know how to use a chat interface. The conversational layout pattern — single-column scrolling messages, compose input at the bottom, navigation in a left rail — is not reinvented. It is adopted. + +What changes is the skin: the warm off-white ground, the UW Husky Purple accent paired with Heritage Gold AI-voice markers, the Geist type system, the asymmetric student-message corner radius, the pure-text AI messages with no fill. Familiarity lowers the learning curve. Distinction creates identity. + +**Anti-pattern:** redesigning the chat layout in service of visual originality. Students should spend zero cognitive budget figuring out how the interface works. + +--- + +## 2. The sidebar is a syllabus, not a thread list + +Every chat product shows recent conversations in the left rail. LLTeacher shows the sections of the current homework. This is the single structural decision that makes the product unmistakably educational. + +The student's context is: "I am in Homework 3, currently working on Section 3 P-Values. I have submitted Section 1 and Section 2. Section 4 and Section 5 are ahead." That context is always visible. It replaces the useless "you had 47 conversations" thread history. + +**Anti-pattern:** a sidebar that shows "Recent conversations" with timestamps. That is a chat product. This is a tutoring product. + +--- + +## 3. Husky Purple is the chrome. Heritage Gold is the AI's voice. Paper is the content. + +Three zones. Three color jobs. No overlap. + +**UW Husky Purple `#32006e` — the chrome surface.** The top nav and sidebar are both Husky Purple. This is not "accent coverage" — per UW brand guidance, primary colors "should be used most often." Husky Purple is the primary. It dominates the frame of the product the way UW purple dominates Husky Stadium. An earlier version of this system mistakenly treated purple as a restrained accent (sub-15% rule). That rule applies to UW's _accent_ palette (teal, green, lavender). Husky Purple _is_ the primary. + +Within the purple chrome, the gold family does work as structural punctuation: the HW label in Husky Gold print (`#B7A57A`), the Spirit Gold (`#FFC700`) current-section dot, the gold underline on hover. But this gold-on-purple relationship is a _chrome-internal_ contrast system — not the same semantic role as Heritage Gold on paper. + +**UW Heritage Gold `#85754d` — the AI's voice.** On the paper surface only. The 4px speaker tick at the start of each AI turn. The pulsing streaming dot. Nothing else. Gold on paper marks "the AI is the source of this." This semantic is not diluted by the chrome-internal use of Husky Gold — the two golds are visually distinct in context (print-warm gold against warm white vs. warm gold against purple). + +**Warm off-white `#FAFAF7` — the content ground.** The main conversation column stays paper. Every pixel of student-AI exchange happens here. Purple still appears on this surface for interactive signals (focus borders, composer focus ring) — but as an _interactive affordance_, not a surface. + +The split is clear: purple frames the product; gold marks the AI; paper holds the conversation. + +**Anti-pattern:** purple-to-blue gradients, vivid teal accents, multiple brand colors competing for attention without meaning. Each color must answer the question "what does this say?" + +--- + +## 4. Typography is the interface + +The choice of Geist Sans and Geist Mono is deliberate. Geist is a modern sans-serif designed for code-adjacent product UX — technically precise but not cold. Geist Mono pairs with it by design. The combination signals "serious tool built with care" without academic stuffiness. + +Message rendering relies on typographic differentiation, not visual chrome: +- AI messages: no fill, no border, just text. A 4px Heritage Gold dot + mono "AI" label marks the speaker. +- Student messages: a soft surface (`#F2EFE9`) with an asymmetric radius (16/16/4/16). The bottom-right corner is the "pointing" corner. +- System messages: centered, muted, mono small-caps. + +**Anti-pattern:** avatar images, colored speaker labels, emoji in messages, speech bubble tails, heavy borders distinguishing speakers. Typography handles differentiation. Visual chrome is redundant. + +--- + +## 5. Motion is a budget, not a default + +The entire motion budget: +- Streaming Heritage Gold dot pulse: 1.2s ease-in-out +- Compose input border transition on focus: 180ms ease-out +- Sidebar section hover underline: 120ms ease-out +- Submit arrow nudge on hover: 140ms ease-out +- Conversation column page-load entrance fade: 240ms + +Nothing else moves. No per-message entrance animations. No scaling. No spring physics. No Motion library. Pure CSS only. + +Motion attracts attention. Every animated element overrides static hierarchy. The streaming dot is the one element that should demand notice — it signals active AI generation. Everything else steps aside. + +**Anti-pattern:** each message sliding up from below as it renders. Messages are not events. They are content. Render them as content. diff --git a/docs/design-system/tokens.md b/docs/design-system/tokens.md new file mode 100644 index 00000000..ccab4c35 --- /dev/null +++ b/docs/design-system/tokens.md @@ -0,0 +1,240 @@ +# Token Reference — v2 + +Three-tier token architecture. All tokens are CSS custom properties defined in +`web/src/client/styles.css`. Only Tier 2 semantic aliases are registered in the +Tailwind 4 `@theme {}` block and generate utility classes. + +--- + +## Architecture + +``` +Tier 1 (Global) Raw scale values — never change per brand or theme + --raw-bg, --raw-surface, --raw-accent, etc. + +Tier 2 (Semantic) Purpose-named aliases — only layer that changes for dark mode + --color-bg, --color-accent, --color-text-muted, etc. + +Tier 3 (Component) Component-specific CSS classes in @layer components + .message--ai, .sidebar, .code-block, .composer-wrap, etc. +``` + +Dark mode is applied by setting `data-theme="dark"` on ``. Only Tier 2 +aliases change. All component classes stay identical. + +--- + +## Tier 1 — Raw palette (light) + +### Warm neutral scale + +| Token | Value | Use | +|---|---|---| +| `--raw-bg` | `#FAFAF7` | Warm off-white page ground | +| `--raw-surface` | `#F2EFE9` | Student bubble, hover states | +| `--raw-surface-raised` | `#F6F3ED` | Sidebar background | +| `--raw-border` | `#E5E1D8` | Standard borders | +| `--raw-border-strong` | `#D4CFC5` | Stronger dividers | +| `--raw-code-bg` | `#F4F1EA` | Code block background | +| `--raw-code-output-bg` | `#EDE9DF` | R output block | + +### Text scale + +| Token | Value | Use | +|---|---|---| +| `--raw-text` | `#1A1A1A` | Primary text — deep warm black | +| `--raw-text-secondary` | `#6B6760` | Warm gray — muted UI text | +| `--raw-text-muted` | `#94908A` | Very muted — placeholders, metadata | + +### UW Husky Purple — dominant chrome surface + +The primary brand color per UW guidelines. Now applied as a dominant surface +to the top nav and sidebar. This is not accent usage — Husky Purple IS the +primary, and UW guidelines say primaries "should be used most often." + +| Token | Value | UW name | Use | +|---|---|---|---| +| `--raw-accent` | `#32006e` | Husky Purple | Top nav bg, sidebar bg, focus rings, interactive accents on paper | +| `--raw-accent-dark` | `#4b2e83` | Spirit Purple | Sidebar row hover bg, dividers | +| `--raw-accent-faint` | `#EFEAF7` | (derived) | Selected-state surface wash (on paper) | +| `--raw-accent-deeper` | `#26005A` | (derived) | Top nav bottom border — quiet anchor | + +### UW Heritage Gold — AI-voice marker on paper + +Reserved exclusively for markers that signal "the AI is speaking" — the 4px +speaker tick dot and the streaming pulse dot. Only ever on the paper surface. + +| Token | Value | UW name | Use | +|---|---|---|---| +| `--raw-accent-warm` | `#85754d` | Heritage Gold | AI speaker mark, streaming pulse (paper surface only) | +| `--raw-accent-warm-hover` | `#A08E60` | (derived) | Hover state (rarely used) | +| `--raw-gold-web` | `#E8E3D3` | Husky Gold web | Sidebar text (default titles, top nav muted text) on purple | +| `--raw-gold-print` | `#B7A57A` | Husky Gold print | Sidebar HW label, ✓ tick, hover underline, top nav user chip bg | +| `--raw-spirit-gold` | `#FFC700` | Spirit Gold | ● current indicator, submit affordance text | + +--- + +## Tier 2 — Semantic aliases + +These are the tokens that component code and Tailwind utilities reference. + +### Surfaces + +| Alias | Resolves to | Notes | +|---|---|---| +| `--color-bg` | `--raw-bg` | Page background — never pure white | +| `--color-surface` | `--raw-surface` | Student bubble, hover states | +| `--color-surface-raised` | `--raw-surface-raised` | Sidebar | +| `--color-code-bg` | `--raw-code-bg` | Code blocks | +| `--color-code-output-bg` | `--raw-code-output-bg` | R output zones | + +### Borders + +| Alias | Resolves to | +|---|---| +| `--color-border` | `--raw-border` | +| `--color-border-strong` | `--raw-border-strong` | + +### Text + +| Alias | Resolves to | +|---|---| +| `--color-text` | `--raw-text` | +| `--color-text-secondary` | `--raw-text-secondary` | +| `--color-text-muted` | `--raw-text-muted` | + +### Accent (UW Husky Purple) + +| Alias | Resolves to | Use | +|---|---|---| +| `--color-accent` | `--raw-accent` | UW Husky Purple — top nav bg, sidebar bg, focus rings, interactive paper accents | +| `--color-accent-hover` | `--raw-accent-dark` | UW Spirit Purple — hover state on paper surfaces | +| `--color-accent-faint` | `--raw-accent-faint` | Light lavender wash — selected surfaces on paper | + +### Accent warm (UW Heritage Gold) — AI-voice markers only (paper surface) + +| Alias | Resolves to | Use | +|---|---|---| +| `--color-accent-warm` | `--raw-accent-warm` | Heritage Gold — AI speaker mark, streaming dot | +| `--color-accent-warm-hover` | `--raw-accent-warm-hover` | Hover (rare) | +| `--color-stream` | `--color-accent-warm` | Pulsing dots during AI generation (3-dot wave) | + +### Nav surface (top navigation bar) + +| Alias | Value | Contrast on bg | Use | +|---|---|---|---| +| `--color-nav-bg` | `#32006e` | — | Top nav background | +| `--color-nav-text` | `#FFFFFF` | ~13:1 ✓ AAA | Wordmark | +| `--color-nav-text-muted` | `#E8E3D3` | ~11:1 ✓ AAA | Affiliation tag, breadcrumb | +| `--color-nav-border` | `#26005A` | — | 1px bottom rule | + +### Sidebar surface (section progress rail) + +| Alias | Value | Contrast on `#32006e` | Use | +|---|---|---|---| +| `--color-sidebar-bg` | `#32006e` | — | Sidebar background | +| `--color-sidebar-text` | `#E8E3D3` | ~11:1 ✓ AAA | Default section title, utility links | +| `--color-sidebar-text-current` | `#FFFFFF` | ~13:1 ✓ AAA | Current section title | +| `--color-sidebar-text-muted` | `#9B8BB8` | ~3.7:1 decorative | Submitted section title — decorative exception; status also conveyed by ✓ tick | +| `--color-sidebar-text-faint` | `#8B73B5` | ~3.1:1 AA-large | Worker colophon — ambient, not essential | +| `--color-sidebar-hover-bg` | `#4b2e83` | — | Row hover background | +| `--color-sidebar-divider` | `#4b2e83` | — | Horizontal rule | +| `--color-sidebar-hw-label` | `#B7A57A` | ~5.9:1 ✓ AA | HW label, ✓ tick, hover underline | + +### Status indicators (on purple background) + +| Alias | Value | Contrast on `#32006e` | Use | +|---|---|---|---| +| `--color-status-submitted` | `#B7A57A` | ~5.9:1 ✓ AA | ✓ submitted tick indicator | +| `--color-status-current` | `#FFC700` | ~11.2:1 ✓ AAA | ● current indicator, submit affordance | +| `--color-status-pending` | `#6E5A9C` | decorative | ○ pending outline indicator | + +--- + +## Dark theme overrides + +Applied via `[data-theme="dark"]` on ``. Tier 1 raw values are not +changed; only Tier 2 semantic aliases are re-pointed. + +| Alias | Dark value | +|---|---| +| `--color-bg` | `#1A1A1A` | +| `--color-surface` | `#222220` | +| `--color-surface-raised` | `#272724` | +| `--color-border` | `#2E2C28` | +| `--color-border-strong` | `#3A3834` | +| `--color-text` | `#FAFAF7` | +| `--color-text-secondary` | `#B5B0AA` | +| `--color-text-muted` | `#7A7570` | +| `--color-accent` | `#C5B4E3` (UW Accent Lavender — designed by UW for dark contexts) | +| `--color-accent-hover` | `#D4C8EC` (lighter lavender) | +| `--color-accent-warm` | `#B7A57A` (UW Husky Gold print value — warmer on dark) | +| `--color-accent-warm-hover` | `#C8B88C` | + +--- + +## Typography scale + +Base: 16px. Ratio: 1.250 (Major Third). + +| Token | Value | Use | +|---|---|---| +| `--font-size-xs` | `0.75rem` (12px) | Mono labels, metadata, breadcrumb | +| `--font-size-sm` | `0.875rem` (14px) | Sidebar items, captions | +| `--font-size-base` | `1rem` (16px) | Body text, messages | +| `--font-size-lg` | `1.25rem` (20px) | | +| `--font-size-xl` | `1.5625rem` (25px) | | +| `--font-size-2xl` | `1.9375rem` (31px) | | + +Line heights: `--leading-tight: 1.3`, `--leading-normal: 1.5`, `--leading-body: 1.7`, `--leading-code: 1.5`. + +Font families: `--font-sans: "Geist"`, `--font-mono: "Geist Mono"`. + +Both loaded via Google Fonts at the top of `styles.css` (before `@import "tailwindcss"`). + +--- + +## Spacing scale + +4px grid, rem-based. `--space-1` through `--space-16`. + +--- + +## Contrast ratios (WCAG 2.2 AA) + +### Paper surface (main conversation column) + +| Pair | Ratio | Status | +|---|---|---| +| `--color-text` (#1A1A1A) on `--color-bg` (#FAFAF7) | ~18.5:1 | Pass AAA | +| `--color-text-secondary` (#6B6760) on `--color-bg` | ~5.9:1 | Pass AA | +| `--color-accent` (#32006e Husky Purple) on `--color-bg` | ~13.4:1 | Pass AAA | +| `--color-accent-hover` (#4b2e83 Spirit Purple) on `--color-bg` | ~10.2:1 | Pass AAA | +| `--color-accent-warm` (#85754d Heritage Gold) on `--color-bg` | ~4.7:1 | Pass AA | +| `--color-text-muted` (#94908A) on `--color-bg` | ~3.4:1 | AA large text only (decorative metadata) | + +### Purple chrome surface (top nav + sidebar, bg: #32006e) + +| Pair | Ratio | Status | Notes | +|---|---|---|---| +| White (#FFFFFF) on Husky Purple | ~13:1 | Pass AAA | Wordmark, current section title | +| Husky Gold web (#E8E3D3) on Husky Purple | ~11:1 | Pass AAA | Breadcrumb, default section titles | +| Husky Gold print (#B7A57A) on Husky Purple | ~5.9:1 | Pass AA | HW label, ✓ tick, hover underline | +| Spirit Gold (#FFC700) on Husky Purple | ~11.2:1 | Pass AAA | ● current indicator, submit affordance | +| Muted lavender (#9B8BB8) on Husky Purple | ~3.7:1 | Non-text decorative | Submitted title — status also conveyed by ✓ tick (non-text exception) | +| Faint lavender (#8B73B5) on Husky Purple | ~3.1:1 | AA large text only | Worker colophon — ambient, never essential | + +### Dark theme (paper surface) + +| Alias | Dark value | +|---|---| +| `--color-text` | `#FAFAF7` (~17.9:1 on dark bg) | +| `--color-accent` | `#C5B4E3` UW Accent Lavender (~9.4:1) | +| `--color-accent-warm` | `#B7A57A` Husky Gold print (~7.6:1) | + +Note: `--color-text-muted` and sidebar faint text are used only for decorative or non-essential +text (metadata, ambient colophon). Every essential label uses a token that passes AA for normal text. + +The Heritage Gold (#85754d) on the paper surface (~4.7:1) reads as "warm punctuation" against +the cool warm-white ground. Both the purple and the gold are highly legible at their respective +application points. diff --git a/docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md b/docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md new file mode 100644 index 00000000..6ffa0a92 --- /dev/null +++ b/docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md @@ -0,0 +1,1124 @@ +# LLteacher Full-Stack Port to TS/React/Vite/Cloudflare Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development to implement Phase 0 task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. +> +> **Scope note:** This is a **master plan** covering 12 phases (0–11). **Only Phase 0 (scaffolding) is at execution-ready detail.** Phases 1–11 are scoped milestones; each must be run through `/superpowers:writing-plans` against its own scope to produce execution-ready tasks before implementation. Do not attempt to execute Phases 1–11 from this document. +> +> **Commit policy (user instruction):** No `Co-Authored-By:` trailers on commits or PR descriptions. User handles commits via their own `/commit`/`/push` workflow. + +**Goal:** Replace the Django stack with a TypeScript + React 19 + Vite + Tailwind 4 application running on Cloudflare Workers, backed by Neon Postgres via Drizzle ORM, authenticated with WorkOS, talking to LLMs via the Vercel AI SDK + OpenRouter. Achieve feature parity with the current Django app first, then layer multi-tenancy / Canvas LTI / RAG on top. + +**Architecture:** +- **Frontend:** React 19 + Vite + TypeScript + Tailwind 4, served as static assets from a Cloudflare Worker. +- **Backend:** Single Hono app inside the same Worker, exposing JSON + SSE endpoints. +- **Data:** Neon Postgres with the `@neondatabase/serverless` HTTP driver + Drizzle ORM + pgvector extension (enabled now even if unused until Phase 8). +- **Auth:** WorkOS (AuthKit) for SSO-ready user management. +- **LLM:** Vercel AI SDK as the streaming/tool-call client; OpenRouter as the provider so each course can route to any model. +- **R execution:** Continue loading WebR client-side from `webr.r-wasm.org` (unchanged). + +**Tech Stack:** TypeScript 5.7+, React 19, Vite 6+, Tailwind 4, Hono 4+, Cloudflare Workers (with static asset bindings), Drizzle ORM, `@neondatabase/serverless`, `pgvector` PG extension, WorkOS Node SDK, Vercel AI SDK 5+, OpenRouter, Vitest, Playwright (later phases), Wrangler. + +**Decisions made:** +- `web/` is a new subdirectory in the existing repo. Django stays running under `apps/`, `src/`, `services/` until cutover (Phase 11). Single repo, single git history. +- React Server Components are **not** used in v1. Plain client-side React with React Router-style routing. SSR/RSC can be revisited after parity if needed. +- Convex is **out**. Drizzle + Neon covers the data needs; mixing Convex with a SQL ORM is duplication. +- AG-UI / A2UI are **out** of v1. Vercel AI SDK + the standard `useChat` pattern handles streaming; the experimental UI protocols can be evaluated post-parity. +- pgvector is installed and migrated now, but no embeddings until Phase 8 RAG. + +--- + +## Phase Dependency Graph + +``` +Phase 0: Scaffolding (this session) + │ + ▼ +Phase 1: Drizzle schema port ◄─── mirror of Django models + │ + ▼ +Phase 2: Auth port (WorkOS) + │ + ▼ +Phase 3: LLM service port (Vercel AI SDK + OpenRouter, streaming) + │ + ├──────────────┬──────────────┬──────────────┐ + ▼ ▼ ▼ ▼ +Phase 4: Phase 5: Phase 6: Phase 7: +Accounts UI Homeworks UI Conversations LLM config UI + UI + R exec + │ │ │ │ + └──────────────┴──────┬───────┴──────────────┘ + ▼ + Phase 8: Admin replacement + │ + ▼ + Phase 9: Seed/test fixtures + │ + ▼ + Phase 10: Data migration (SQLite → Neon) + │ + ▼ + Phase 11: Cutover + Django retirement +``` + +Calendar-week estimate against a 2–3 engineer SSE pod with AI-assisted dev: +- Phase 0: this session (1–2 hours) +- Phase 1: 2–3 days +- Phase 2: 3–5 days +- Phase 3: 5–7 days (streaming is the gnarly part) +- Phase 4: 3–4 days +- Phase 5: 5–7 days +- Phase 6: 7–10 days (R execution wiring, SSE rendering) +- Phase 7: 2–3 days +- Phase 8: 3–4 days +- Phase 9: 2 days +- Phase 10: 3–4 days +- Phase 11: 2 days + +**Total:** ~8–10 weeks of focused engineering for feature parity. Platform features (multi-tenancy, Canvas LTI, RAG embeddings) come after parity and slot into the prior `2026-06-01-llteacher-platform-generalization.md` roadmap. + +--- + +## Phase 0: Scaffolding + +**Goal:** Stand up `web/` as a working Vite + React 19 + TS + Tailwind 4 frontend and a Hono Cloudflare Worker backend, wired to Drizzle + Neon, with WorkOS and Vercel AI SDK dependencies installed, Vitest configured, and an end-to-end "hello world" smoke test proving the loop: React page → Hono API → Neon → JSON → render. + +**File Structure (final state at end of Phase 0):** + +``` +llteacher/ +├── apps/ # existing Django (unchanged) +├── src/ # existing Django (unchanged) +├── services/ # existing Django (unchanged) +├── web/ # NEW — TS/React/Vite/Workers app +│ ├── package.json +│ ├── tsconfig.json +│ ├── tsconfig.node.json +│ ├── vite.config.ts +│ ├── wrangler.jsonc +│ ├── drizzle.config.ts +│ ├── vitest.config.ts +│ ├── .gitignore +│ ├── .dev.vars.example +│ ├── README.md +│ ├── public/ +│ │ └── favicon.ico +│ └── src/ +│ ├── client/ +│ │ ├── main.tsx # React 19 entry +│ │ ├── App.tsx # Hello-world page calling /api/hello +│ │ ├── index.html +│ │ └── styles.css # Tailwind 4 entry +│ ├── server/ +│ │ ├── index.ts # Worker entry; Hono app + asset serving +│ │ └── routes/ +│ │ └── hello.ts # GET /api/hello → reads from DB +│ ├── db/ +│ │ ├── schema.ts # Drizzle schemas (minimal: a `pings` table) +│ │ ├── client.ts # Neon HTTP client + Drizzle wrapper +│ │ └── migrations/ # generated by drizzle-kit +│ ├── lib/ +│ │ ├── workos.ts # WorkOS SDK wrapper (stub for Phase 2) +│ │ └── ai.ts # Vercel AI SDK + OpenRouter wrapper (stub for Phase 3) +│ └── shared/ +│ └── types.ts # API response shapes +└── docs/superpowers/plans/ # this plan + future plans +``` + +**Test commands:** +```bash +cd web && npm run test # Vitest +cd web && npm run dev # Vite + Wrangler dev (proxied) +cd web && npm run build # Vite build +cd web && npm run typecheck # tsc --noEmit +``` + +**Environment variables (in `web/.dev.vars` — never commit):** +- `DATABASE_URL` — Neon connection string +- `WORKOS_API_KEY` — placeholder for Phase 2 +- `WORKOS_CLIENT_ID` — placeholder for Phase 2 +- `OPENROUTER_API_KEY` — placeholder for Phase 3 + +`.dev.vars.example` is committed with placeholder values; `.dev.vars` is gitignored. + +--- + +### Task 0.1: Create `web/` directory, initial `package.json`, `.gitignore`, and `README.md` + +**Files:** +- Create: `web/package.json` +- Create: `web/.gitignore` +- Create: `web/README.md` +- Create: `web/.dev.vars.example` + +- [ ] **Step 1: Create the `web/` directory** + +```bash +mkdir -p /Users/corderocore/Documents/llteacher/web +cd /Users/corderocore/Documents/llteacher/web +``` + +- [ ] **Step 2: Create `web/package.json`** + +Write `web/package.json`: + +```json +{ + "name": "llteacher-web", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc --noEmit && vite build", + "preview": "vite preview", + "deploy": "wrangler deploy", + "typecheck": "tsc --noEmit", + "test": "vitest run", + "test:watch": "vitest", + "db:generate": "drizzle-kit generate", + "db:migrate": "drizzle-kit migrate", + "db:studio": "drizzle-kit studio" + }, + "dependencies": { + "@neondatabase/serverless": "^0.10.0", + "@workos-inc/node": "^7.0.0", + "ai": "^5.0.0", + "drizzle-orm": "^0.36.0", + "hono": "^4.6.0", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "react-router": "^7.0.0" + }, + "devDependencies": { + "@cloudflare/vite-plugin": "^1.0.0", + "@cloudflare/workers-types": "^4.20250101.0", + "@tailwindcss/vite": "^4.0.0", + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "@vitejs/plugin-react": "^4.3.0", + "drizzle-kit": "^0.28.0", + "tailwindcss": "^4.0.0", + "typescript": "^5.7.0", + "vite": "^6.0.0", + "vitest": "^2.1.0", + "wrangler": "^3.95.0" + } +} +``` + +- [ ] **Step 3: Create `web/.gitignore`** + +Write `web/.gitignore`: + +``` +node_modules/ +dist/ +.dev.vars +.wrangler/ +.vite/ +*.log +.DS_Store +coverage/ +``` + +- [ ] **Step 4: Create `web/.dev.vars.example`** + +Write `web/.dev.vars.example`: + +``` +DATABASE_URL="postgresql://user:password@host.neon.tech/llteacher?sslmode=require" +WORKOS_API_KEY="sk_test_placeholder" +WORKOS_CLIENT_ID="client_placeholder" +OPENROUTER_API_KEY="sk-or-v1-placeholder" +``` + +- [ ] **Step 5: Create `web/README.md`** + +Write `web/README.md`: + +```markdown +# llteacher-web + +TypeScript / React 19 / Vite / Tailwind 4 / Hono / Cloudflare Workers / Drizzle / Neon port of LLteacher. + +## Setup + +1. `npm install` +2. Copy `.dev.vars.example` to `.dev.vars` and fill in real values. +3. `npm run db:migrate` (after Drizzle schema exists in Phase 1). +4. `npm run dev` to start Vite + Wrangler in dev mode. + +## Phase 0 status + +Scaffolding only. Auth, LLM, real routes land in subsequent phases (see `../docs/superpowers/plans/`). +``` + +- [ ] **Step 6: Install dependencies** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm install +``` + +Expected: dependency tree installs cleanly. If versions of React 19 / Tailwind 4 / Vite 6 have moved, accept latest stable. + +- [ ] **Step 7: Commit (without Co-Authored-By trailer)** + +Stage the new files and let the user invoke `/commit` and `/push` from their own workflow. Print to the user: + +``` +Phase 0 Task 1 staged: web/package.json, web/.gitignore, web/.dev.vars.example, web/README.md. +Run /commit to record this checkpoint. +``` + +Do **not** invoke `git commit` directly unless the user explicitly requests it. + +--- + +### Task 0.2: TypeScript + Vite + React 19 scaffolding + +**Files:** +- Create: `web/tsconfig.json`, `web/tsconfig.node.json` +- Create: `web/vite.config.ts` +- Create: `web/src/client/index.html` +- Create: `web/src/client/main.tsx` +- Create: `web/src/client/App.tsx` + +- [ ] **Step 1: Write `web/tsconfig.json`** + +```json +{ + "compilerOptions": { + "target": "ES2022", + "useDefineForClassFields": true, + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "types": ["@cloudflare/workers-types", "vite/client"] + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} +``` + +- [ ] **Step 2: Write `web/tsconfig.node.json`** + +```json +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true, + "strict": true + }, + "include": ["vite.config.ts", "vitest.config.ts", "drizzle.config.ts"] +} +``` + +- [ ] **Step 3: Write `web/vite.config.ts`** + +```ts +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; +import tailwindcss from "@tailwindcss/vite"; +import { cloudflare } from "@cloudflare/vite-plugin"; + +export default defineConfig({ + root: "src/client", + build: { + outDir: "../../dist/client", + emptyOutDir: true, + }, + plugins: [react(), tailwindcss(), cloudflare()], +}); +``` + +- [ ] **Step 4: Write `web/src/client/index.html`** + +```html + + + + + + + LLteacher + + +
+ + + +``` + +- [ ] **Step 5: Write `web/src/client/main.tsx`** + +```tsx +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "./styles.css"; + +createRoot(document.getElementById("root")!).render( + + + , +); +``` + +- [ ] **Step 6: Write `web/src/client/App.tsx`** + +```tsx +import { useEffect, useState } from "react"; + +type HelloResponse = { message: string; ping_id: string }; + +export default function App() { + const [hello, setHello] = useState(null); + const [error, setError] = useState(null); + + useEffect(() => { + fetch("/api/hello") + .then((r) => { + if (!r.ok) throw new Error(`status ${r.status}`); + return r.json() as Promise; + }) + .then(setHello) + .catch((e) => setError(e.message)); + }, []); + + return ( +
+
+

LLteacher (Cloudflare port)

+ {error &&

Error: {error}

} + {hello && ( +

+ {hello.message} {hello.ping_id} +

+ )} + {!hello && !error &&

Loading…

} +
+
+ ); +} +``` + +- [ ] **Step 7: Run typecheck** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run typecheck +``` + +Expected: PASS (no type errors). + +- [ ] **Step 8: Stage and report — let the user `/commit`** + +Files staged: `web/tsconfig.json`, `web/tsconfig.node.json`, `web/vite.config.ts`, `web/src/client/index.html`, `web/src/client/main.tsx`, `web/src/client/App.tsx`. + +--- + +### Task 0.3: Tailwind 4 styling + +**Files:** +- Create: `web/src/client/styles.css` + +- [ ] **Step 1: Write `web/src/client/styles.css`** + +Tailwind 4 uses a CSS-first config — no `tailwind.config.js` required for v1. + +```css +@import "tailwindcss"; + +@theme { + --font-sans: "Inter", system-ui, sans-serif; +} + +html, body, #root { + height: 100%; + margin: 0; +} +``` + +- [ ] **Step 2: Run dev server to verify Tailwind compiles** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run dev +``` + +Visit the local URL Vite prints. Expected: the hello-world page renders with Tailwind classes applied (rounded card, slate colors, centered). + +The fetch to `/api/hello` will still fail at this point because the Worker hasn't been wired yet — that's Task 0.5. The error message "Error: ..." should be visible, confirming React + Tailwind work. + +Stop the dev server with Ctrl-C. + +- [ ] **Step 3: Stage and report — let the user `/commit`** + +Files staged: `web/src/client/styles.css`. + +--- + +### Task 0.4: Hono + Cloudflare Worker setup + +**Files:** +- Create: `web/wrangler.jsonc` +- Create: `web/src/server/index.ts` +- Create: `web/src/server/routes/hello.ts` +- Create: `web/src/shared/types.ts` + +- [ ] **Step 1: Write `web/wrangler.jsonc`** + +```jsonc +{ + "$schema": "node_modules/wrangler/config-schema.json", + "name": "llteacher-web", + "main": "src/server/index.ts", + "compatibility_date": "2025-09-01", + "compatibility_flags": ["nodejs_compat"], + "assets": { + "directory": "./dist/client", + "binding": "ASSETS", + "not_found_handling": "single-page-application" + }, + "observability": { + "enabled": true + }, + "vars": { + // Non-secret vars go here. Secrets live in .dev.vars locally and Wrangler secrets in prod. + } +} +``` + +- [ ] **Step 2: Write `web/src/shared/types.ts`** + +```ts +export type HelloResponse = { + message: string; + ping_id: string; +}; +``` + +- [ ] **Step 3: Write `web/src/server/routes/hello.ts`** + +Stub for now — DB call lands in Task 0.6. + +```ts +import { Hono } from "hono"; +import type { HelloResponse } from "../../shared/types"; + +export const hello = new Hono<{ Bindings: Env }>(); + +hello.get("/", (c) => { + const resp: HelloResponse = { + message: "Hono Worker is alive.", + ping_id: crypto.randomUUID(), + }; + return c.json(resp); +}); +``` + +- [ ] **Step 4: Write `web/src/server/index.ts`** + +```ts +import { Hono } from "hono"; +import { hello } from "./routes/hello"; + +const app = new Hono<{ Bindings: Env }>(); + +app.route("/api/hello", hello); + +export default app; +``` + +- [ ] **Step 5: Add `Env` type — append to `web/src/shared/types.ts`** + +Replace `web/src/shared/types.ts` with: + +```ts +export type HelloResponse = { + message: string; + ping_id: string; +}; + +// Cloudflare Worker bindings + secrets. Augmented in Phase 1+. +declare global { + interface Env { + DATABASE_URL: string; + WORKOS_API_KEY: string; + WORKOS_CLIENT_ID: string; + OPENROUTER_API_KEY: string; + ASSETS: Fetcher; + } +} + +export {}; +``` + +- [ ] **Step 6: Typecheck** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run typecheck +``` + +Expected: PASS. + +- [ ] **Step 7: Boot dev server end-to-end** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run dev +``` + +Visit the printed URL. Expected: React page renders, `/api/hello` returns JSON, the page shows "Hono Worker is alive." with a UUID. + +Stop with Ctrl-C. + +- [ ] **Step 8: Stage and report — let the user `/commit`** + +Files staged: `web/wrangler.jsonc`, `web/src/server/index.ts`, `web/src/server/routes/hello.ts`, `web/src/shared/types.ts`. + +--- + +### Task 0.5: Drizzle + Neon connection + +**Files:** +- Create: `web/drizzle.config.ts` +- Create: `web/src/db/schema.ts` +- Create: `web/src/db/client.ts` +- Modify: `web/src/server/routes/hello.ts` (read from DB) + +- [ ] **Step 1: Write `web/drizzle.config.ts`** + +```ts +import { defineConfig } from "drizzle-kit"; + +export default defineConfig({ + schema: "./src/db/schema.ts", + out: "./src/db/migrations", + dialect: "postgresql", + dbCredentials: { + url: process.env.DATABASE_URL!, + }, + verbose: true, + strict: true, +}); +``` + +- [ ] **Step 2: Write `web/src/db/schema.ts`** + +Minimal schema for the smoke test. Real schema port lands in Phase 1. + +```ts +import { pgTable, uuid, text, timestamp } from "drizzle-orm/pg-core"; + +export const pings = pgTable("pings", { + id: uuid("id").primaryKey().defaultRandom(), + message: text("message").notNull(), + createdAt: timestamp("created_at", { withTimezone: true }).defaultNow().notNull(), +}); +``` + +- [ ] **Step 3: Write `web/src/db/client.ts`** + +```ts +import { drizzle } from "drizzle-orm/neon-http"; +import { neon } from "@neondatabase/serverless"; +import * as schema from "./schema"; + +export function makeDb(databaseUrl: string) { + const sql = neon(databaseUrl); + return drizzle(sql, { schema }); +} + +export type Db = ReturnType; +``` + +- [ ] **Step 4: Update `web/src/server/routes/hello.ts` to insert + read a ping** + +```ts +import { Hono } from "hono"; +import { makeDb } from "../../db/client"; +import { pings } from "../../db/schema"; +import type { HelloResponse } from "../../shared/types"; + +export const hello = new Hono<{ Bindings: Env }>(); + +hello.get("/", async (c) => { + const db = makeDb(c.env.DATABASE_URL); + const [row] = await db + .insert(pings) + .values({ message: "Hello from Hono + Drizzle + Neon." }) + .returning(); + const resp: HelloResponse = { + message: row.message, + ping_id: row.id, + }; + return c.json(resp); +}); +``` + +- [ ] **Step 5: Prompt the user for a Neon `DATABASE_URL`** + +If a `.dev.vars` file doesn't exist yet, the user must create one from the example. Print to the user: + +``` +Phase 0 needs a Neon Postgres database URL. + +1. Create a free Neon project at https://console.neon.tech (or reuse one). +2. Copy the "Connection string" (the pooled one). +3. Create web/.dev.vars (copy from .dev.vars.example) and set DATABASE_URL. +4. Run /loop or tell me when ready and I'll proceed with `db:generate` + `db:migrate`. +``` + +Do not proceed with steps 6–8 until the user confirms. + +- [ ] **Step 6: Generate the initial migration** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npx drizzle-kit generate +``` + +Expected: a SQL file appears under `web/src/db/migrations/`. + +- [ ] **Step 7: Apply the migration to Neon** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npx drizzle-kit migrate +``` + +Expected: the `pings` table is created in Neon. Confirm via `npx drizzle-kit studio` if desired. + +- [ ] **Step 8: End-to-end smoke** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run dev +``` + +Visit the page. Expected: it loads, fetches `/api/hello`, displays "Hello from Hono + Drizzle + Neon." and a UUID that increments on refresh (each refresh inserts a new row). Confirm the rows in `pings` via `drizzle-kit studio` or a `psql` query. + +Stop with Ctrl-C. + +- [ ] **Step 9: Stage and report — let the user `/commit`** + +Files staged: `web/drizzle.config.ts`, `web/src/db/schema.ts`, `web/src/db/client.ts`, `web/src/db/migrations/*`, `web/src/server/routes/hello.ts`. + +--- + +### Task 0.6: WorkOS SDK scaffold (no auth yet) + +**Files:** +- Create: `web/src/lib/workos.ts` + +- [ ] **Step 1: Write `web/src/lib/workos.ts`** + +Stub — full auth lands in Phase 2. + +```ts +import { WorkOS } from "@workos-inc/node"; + +let cached: WorkOS | null = null; + +export function getWorkOS(apiKey: string): WorkOS { + if (!cached) { + cached = new WorkOS(apiKey); + } + return cached; +} +``` + +- [ ] **Step 2: Typecheck** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run typecheck +``` + +Expected: PASS. + +- [ ] **Step 3: Stage and report — let the user `/commit`** + +--- + +### Task 0.7: Vercel AI SDK + OpenRouter scaffold (no LLM call yet) + +**Files:** +- Create: `web/src/lib/ai.ts` + +- [ ] **Step 1: Write `web/src/lib/ai.ts`** + +Stub — real LLM streaming lands in Phase 3. + +```ts +import { createOpenAI } from "@ai-sdk/openai"; + +export function getOpenRouter(apiKey: string) { + return createOpenAI({ + apiKey, + baseURL: "https://openrouter.ai/api/v1", + headers: { + "HTTP-Referer": "https://llteacher.uw.edu", + "X-Title": "LLteacher", + }, + }); +} +``` + +- [ ] **Step 2: Install the `@ai-sdk/openai` provider package** + +The Vercel AI SDK splits providers into separate packages. Add `@ai-sdk/openai`: + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm install @ai-sdk/openai +``` + +- [ ] **Step 3: Typecheck** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm run typecheck +``` + +Expected: PASS. + +- [ ] **Step 4: Stage and report — let the user `/commit`** + +--- + +### Task 0.8: Vitest setup + first server-side test + +**Files:** +- Create: `web/vitest.config.ts` +- Create: `web/src/server/routes/hello.test.ts` + +- [ ] **Step 1: Write `web/vitest.config.ts`** + +```ts +import { defineConfig } from "vitest/config"; + +export default defineConfig({ + test: { + environment: "node", + include: ["src/**/*.test.ts", "src/**/*.test.tsx"], + }, +}); +``` + +- [ ] **Step 2: Write `web/src/server/routes/hello.test.ts`** + +```ts +import { describe, it, expect, vi } from "vitest"; +import { hello } from "./hello"; + +vi.mock("../../db/client", () => ({ + makeDb: () => ({ + insert: () => ({ + values: () => ({ + returning: async () => [{ id: "00000000-0000-0000-0000-000000000001", message: "mocked" }], + }), + }), + }), +})); + +describe("GET /api/hello", () => { + it("returns a HelloResponse with mocked message and ping_id", async () => { + const res = await hello.request("/", {}, { DATABASE_URL: "ignored" } as Env); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body).toEqual({ + message: "mocked", + ping_id: "00000000-0000-0000-0000-000000000001", + }); + }); +}); +``` + +- [ ] **Step 3: Run the test** + +```bash +cd /Users/corderocore/Documents/llteacher/web && npm test +``` + +Expected: PASS (1 test, 1 assertion). If the mock shape is wrong, refine until green. + +- [ ] **Step 4: Stage and report — let the user `/commit`** + +--- + +### Task 0.9: Root README pointer + +**Files:** +- Modify: `README.md` (root) + +- [ ] **Step 1: Add a short pointer at the top of the root `README.md`** + +Insert immediately after the `# LLTeacher v2` title: + +```markdown +> **Port in progress:** A TypeScript / React 19 / Vite / Tailwind 4 / Cloudflare Workers +> rewrite is being built in `web/`. The current Django app remains the source of truth +> until cutover. See `docs/superpowers/plans/2026-06-01-llteacher-fullstack-port.md`. +``` + +- [ ] **Step 2: Stage and report — let the user `/commit`** + +--- + +### Phase 0 Done-Definition + +Run everything from a clean state and confirm: + +- [ ] `cd web && npm install` succeeds. +- [ ] `cd web && npm run typecheck` returns 0. +- [ ] `cd web && npm test` returns 0 with at least one passing test. +- [ ] `cd web && npm run dev` boots; visiting the local URL renders the React + Tailwind hello page; the page shows a message read from Neon via Drizzle; each refresh produces a fresh `ping_id` UUID and adds a row to `pings`. +- [ ] The Django app under `apps/`, `src/`, `services/` is unchanged and still passes its own test suite: `uv run python run_tests.py --settings=src.llteacher.test_settings`. + +If all five hold, Phase 0 ships and we can hand the next phase off to its own `/superpowers:writing-plans` run. + +--- + +## Phase 1: Drizzle Schema Port + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Mirror the Django ORM models (`accounts.User/Teacher/Student`, `homeworks.Homework/Section/SectionSolution`, `conversations.Conversation/Message/Submission`, `llm.LLMConfig`) as Drizzle schemas in `web/src/db/schema.ts`, plus enable the `pgvector` extension for future RAG. + +**Depends on:** Phase 0. + +**Files affected:** +- Modify: `web/src/db/schema.ts` — full schema with FKs, indexes, constraints +- Create: `web/src/db/relations.ts` — Drizzle relations API definitions +- Create: `web/src/db/migrations/0001_pgvector.sql` — `CREATE EXTENSION IF NOT EXISTS vector;` +- Create: per-table query helpers under `web/src/db/queries/` +- Update: `web/wrangler.jsonc` if any new bindings are needed + +**Key design questions to settle in brainstorming:** +1. Mirror the Django models 1:1 (preserve `db_table` names) so Phase 10 data migration can be a straight pg_dump → restore? Or normalize away the per-app `db_table` prefixes? +2. UUID PK strategy: `uuid().defaultRandom()` matches Django's `uuid.uuid4`, but does the data migration require generating new UUIDs for join-table rows? +3. The Django `Message.message_type` is free-text `CharField(50)` with class constants. Port as a pg enum or keep as `text`? (Enums are stricter but require migrations to add new types like `code_execution`.) +4. The teacher/student profile pattern: keep two separate tables (`teachers`, `students`) or collapse into `users.role`? Current Django serializes both via `hasattr(user, 'teacher_profile')`. +5. `is_default` enforcement on `llm_configs`: model `.save()` clears the flag on others. Port via partial unique index, trigger, or service-layer logic? +6. Soft delete on `Conversation`: keep `is_deleted`/`deleted_at` or move to a partial index + view? +7. Add the `Organization` / `Course` multi-tenancy layer now or in a later phase? (Current answer per AskUserQuestion is "port to parity first, then platform features" — so defer.) + +**Estimated effort:** 2–3 days with AI-assisted dev. + +**Next step:** `/superpowers:brainstorming` against the questions above, then `/superpowers:writing-plans`. + +--- + +## Phase 2: Auth Port (WorkOS) + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Replace Django session auth + custom `User`/`Teacher`/`Student` profile model with WorkOS-managed identity. Preserve role distinction (instructor vs student). Provide login, registration (if applicable; WorkOS may handle this via AuthKit), logout, and a session middleware for Hono routes. + +**Depends on:** Phases 0, 1. + +**Files affected:** +- Create: `web/src/server/middleware/auth.ts` — Hono middleware verifying WorkOS sessions +- Create: `web/src/server/routes/auth.ts` — login/callback/logout endpoints +- Create: `web/src/lib/session.ts` — session cookie reading/writing (Workers KV or signed JWT) +- Create: `web/src/client/auth/AuthProvider.tsx` — React context for current user +- Create: `web/src/client/auth/LoginButton.tsx`, `LogoutButton.tsx` +- Modify: `web/src/server/index.ts` — wire auth middleware + +**Key design questions to settle in brainstorming:** +1. WorkOS AuthKit (hosted UI) or custom UI on top of WorkOS APIs? AuthKit ships fastest; custom matches the Django UI more closely. +2. Session storage — Workers KV, encrypted cookie, or D1? Workers KV has eventual consistency; encrypted cookie is stateless. +3. Role assignment — store `role` in WorkOS user metadata, in our `users` table, or both (synced)? +4. Email-domain restriction (current Django dev setting `ALLOWED_EMAIL_DOMAINS = ['uw.edu']`) — enforce at WorkOS organization level or in our middleware? +5. Migration from Django sessions: do existing users need to re-authenticate? (Almost certainly yes.) +6. For Phase 5 Canvas LTI, identities will need to map to WorkOS users — design that mapping now or later? + +**Estimated effort:** 3–5 days. + +**Next step:** `/superpowers:brainstorming` then `/superpowers:writing-plans`. + +--- + +## Phase 3: LLM Service Port (Vercel AI SDK + OpenRouter, streaming) + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Re-implement `LLMService.get_response` and `LLMService.stream_response` (currently `apps/llm/src/llm/services.py:101–253`) in TS, using the Vercel AI SDK's `streamText` / `generateText` against OpenRouter. Preserve the current behavior: build conversation history from `Message` rows, assemble per-turn prompt with homework + section context, stream tokens to a Hono SSE endpoint, persist AI messages with per-token updates. + +**Depends on:** Phases 0, 1, 2. + +**Files affected:** +- Create: `web/src/server/services/llm.ts` — context build + `streamText`/`generateText` +- Create: `web/src/server/services/conversation.ts` — `processMessage` orchestrating user-message persist → stream call → AI-message persist +- Create: `web/src/server/routes/conversations/stream.ts` — SSE endpoint matching current `/conversations/api//stream/` shape +- Tests: `web/src/server/services/llm.test.ts` (mock the AI SDK provider) + +**Key design questions to settle in brainstorming:** +1. The Vercel AI SDK uses its own event protocol (`useChat` data stream format). Match it for free client integration? Or keep the current custom SSE event shape (`user_message`, `ai_message_start`, `ai_token`, `ai_message_complete`) for backwards compat with the existing client logic (which is being thrown away anyway)? +2. Per-token DB writes — the Django code calls `ai_message.save()` after every token. Port verbatim, or batch (every N tokens / every M ms)? Cloudflare egress to Neon may cost more in the naive case. +3. Where does the system-prompt + per-turn prompt assembly live? `_build_current_prompt` interpolates homework + section title + content; this is the bulk of the LLM contract and should be testable in isolation. +4. Token usage tracking — current Django code drops it. Vercel AI SDK exposes it via `stream.usage`. Persist now or later? +5. R code messages and code-execution result messages are replayed as `"user"` role today. Preserve or change? (See Phase 2 of the Django plan for the context.) +6. Error handling pattern — Django generates a UUID error ID and returns it in user-facing text. Mirror, or use richer structured errors? + +**Estimated effort:** 5–7 days. Streaming + persistence + testing is the hardest part of the entire port. + +**Next step:** `/superpowers:brainstorming` then `/superpowers:writing-plans`. + +--- + +## Phase 4: Accounts UI Port + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Port the three accounts templates (`login.html`, `register.html`, `profile.html`) to React components backed by WorkOS auth + a profile API. + +**Depends on:** Phases 0, 1, 2. + +**Files affected:** +- Create: `web/src/client/routes/Login.tsx`, `Register.tsx`, `Profile.tsx` +- Create: `web/src/client/components/Form*` (shared form pieces) +- Create: `web/src/server/routes/profile.ts` — GET/PATCH profile +- Update: `web/src/client/main.tsx` — wire React Router 7 + +**Key design questions:** +1. Public registration (Django allows student-only registration; teachers are created in admin). Mirror, or have WorkOS handle the whole thing? +2. Profile fields displayed: today the profile page shows `courses_created` for teachers and placeholder zeros for students. Reproduce or trim? +3. UW email-domain restriction — see Phase 2. + +**Estimated effort:** 3–4 days. + +--- + +## Phase 5: Homeworks UI Port + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Port the five homeworks templates (`list.html`, `detail.html`, `section_detail.html`, `form.html`, `submissions.html`) to React components and the corresponding API endpoints. + +**Depends on:** Phases 0, 1, 2. + +**Files affected:** +- Create: `web/src/client/routes/homeworks/{List,Detail,SectionDetail,Form,Submissions}.tsx` +- Create: `web/src/server/routes/homeworks.ts` — CRUD endpoints +- Create: `web/src/server/services/homework.ts` — port of `HomeworkService` (~700 lines of Django service) +- Create: section formset replacement — likely a Field Array via `react-hook-form` or similar + +**Key design questions:** +1. The Django `HomeworkService.get_homework_submissions` builds a students × sections matrix with participation statuses. Reproduce as-is in TS, or simplify the view model? +2. Markdown rendering: current templates use `` from a CDN. React replacement — `react-markdown` + `remark-gfm` + `rehype-highlight`? +3. Section formsets are tricky in Django; do them as a `react-hook-form` field array with explicit ordering controls. +4. Bootstrap → Tailwind: the existing UI is Bootstrap accordions, badges, progress bars. Pick a Tailwind component library (shadcn/ui? Headless UI? roll your own?) and commit. + +**Estimated effort:** 5–7 days. + +--- + +## Phase 6: Conversations UI Port (with R execution + SSE) + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Port `conversations/detail.html`, `start.html`, `message_form.html` plus the three custom JS files (`real-time-chat.js`, `r-execution-manager.js`, `conversation-detail.js`). React + Vercel AI SDK `useChat` for streaming. WebR (`https://webr.r-wasm.org/latest/webr.mjs`) remains client-side, now driven by a React hook instead of vanilla JS. + +**Depends on:** Phases 0, 1, 2, 3. + +**Files affected:** +- Create: `web/src/client/routes/conversations/{Start,Detail}.tsx` +- Create: `web/src/client/hooks/{useChat,useWebR,useRExecution}.ts` +- Create: `web/src/client/components/{ChatMessage,ChatComposer,RCodeBlock,RCodeRunner}.tsx` +- Create: `web/src/server/routes/conversations.ts` — start, send, stream, submit, delete-and-restart +- Wire up Prism highlighting (or shiki) for code rendering + +**Key design questions:** +1. Vercel AI SDK's `useChat` versus a custom SSE reader matching the existing event shape? `useChat` is opinionated about message format. +2. WebR loading: dynamic import inside a React effect, or a top-level script? Same CDN URL either way. +3. `ImageBitmap` plot rendering: continue using `` + `ctx.drawImage`, or convert to PNG and use ``? +4. Server-side `handleRCodeExecution` (currently unused — JS doesn't POST results back): wire it now or leave dormant? +5. The current Django code saves the AI message per token. Vercel AI SDK's stream finalization can do a single save on completion. Behavior change — accept? + +**Estimated effort:** 7–10 days. This is the most complex UI surface. + +--- + +## Phase 7: LLM Config UI Port + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Port `llm/config_list.html`, `config_detail.html`, `config_form.html` to React. Surface `base_url`, model picker, `is_default` toggle, test endpoint. + +**Depends on:** Phases 0, 1, 2, 3. + +**Estimated effort:** 2–3 days. + +--- + +## Phase 8: Admin Replacement + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Django's `/admin/` provides table-level CRUD for all models. Replace with either (a) a curated admin React surface, (b) directly using `drizzle-kit studio` for power users, or (c) a third-party admin (e.g., Pocketbase-style — none fits cleanly on Workers). + +**Estimated effort:** 3–4 days. + +**Key design question:** is there an admin user persona this product needs, or are all admin actions doable through the instructor UI? + +--- + +## Phase 9: Seed / Test Fixtures Port + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Port `src/llteacher/management/commands/populate_test_database.py` to a TS script (`web/scripts/seed.ts`) that uses Drizzle to populate the same teachers, students, homeworks, sections, LLM config, conversations, and submissions. + +**Estimated effort:** 2 days. + +--- + +## Phase 10: Data Migration (SQLite → Neon) + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** One-shot ETL from the live Django SQLite DB (running Sara's 180-student stats class) to Neon Postgres, matching the Drizzle schema. Includes user identity mapping (Django user → WorkOS user — almost certainly forces re-auth) and conversation/message preservation for in-flight assignments. + +**Key design questions:** +1. Cutover window — overnight, or schedule between quarters? +2. User identity bridge — can existing Django passwords be migrated to WorkOS, or do all users go through a "set a new password" flow? +3. Backfill `Conversation.id` UUIDs as-is, or regenerate? +4. Per-token AI message rows are large; archive or import in full? + +**Estimated effort:** 3–4 days plus a dry run on a staging copy. + +--- + +## Phase 11: Cutover + Django Retirement + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Point `llteacher.coolify.redbeardlab.com` (or its replacement) at the Cloudflare Worker. Archive the Django code (move `apps/`, `src/`, `services/` to `legacy_django/`). Stop the Coolify deployment. Update root README. + +**Estimated effort:** 2 days. + +--- + +## Self-Review Notes + +**Spec coverage:** All current Django subsystems (accounts, homeworks, conversations, llm, permissions, admin, seed data, R execution, streaming) map to phases 1–11. Phase 0 covers nothing functional except scaffolding — that's intentional and called out. + +**Placeholder scan:** Phase 0 contains no placeholders — every step has explicit file content, an exact command, or a concrete verification check. Phases 1–11 contain scope-level descriptions and design questions, **clearly labeled `STATUS: SCOPE ONLY`** with explicit instructions to re-plan via `/superpowers:writing-plans` before execution. + +**Type consistency:** `Env`, `HelloResponse`, `Db` are defined once and referenced consistently. The `crypto.randomUUID()` call in Task 0.4 produces a string; the `pings.id` Drizzle column is `uuid` and `.returning()` returns it as a string in `neon-http` mode. The mock in Task 0.8 returns the same shape. + +**Commit policy compliance:** Every "Stage and report" step instructs the executor to stage files and let the user invoke `/commit` rather than calling `git commit` directly. No Co-Authored-By trailers anywhere. + +--- + +## Execution Handoff (Phase 0 only) + +Phase 0 is execution-ready for `superpowers:subagent-driven-development`. Phases 1–11 each require their own dedicated `/superpowers:writing-plans` run against the design questions listed in each phase before any code is written. diff --git a/docs/superpowers/plans/2026-06-01-llteacher-platform-generalization.md b/docs/superpowers/plans/2026-06-01-llteacher-platform-generalization.md new file mode 100644 index 00000000..c8750a5b --- /dev/null +++ b/docs/superpowers/plans/2026-06-01-llteacher-platform-generalization.md @@ -0,0 +1,825 @@ +# LLteacher Platform Generalization Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. +> +> **Scope note:** This is a **master plan** covering six phases. **Only Phase 1 (OpenRouter swap) is at execution-ready detail.** Phases 2–6 are scoped milestones; each one MUST be run through `/superpowers:writing-plans` against its own scope to produce execution-ready tasks before implementation. Do not attempt to execute Phases 2–6 from this document — the steps are not specified to the required granularity. + +**Goal:** Generalize LLteacher's Django codebase into a shared platform that can host the four UW CDI-funded AI tutoring projects (Statistics, Polya coding tutor, Econ 24/7 tutor, Clinical Informatics tutor) with a fall-quarter pilot target. + +**Architecture:** Keep the existing Django + Django-ORM + Bootstrap stack; extend it along six axes — multi-provider LLM routing (OpenRouter), pluggable agent runtimes, multi-tenancy, RAG with pgvector, Canvas LTI, and UW-blessed FERPA-compliant hosting. Defer the TS/React rewrite to a winter follow-on once pilots prove which UI patterns matter. + +**Tech Stack:** Django 5.2, Python 3.12, uv workspaces, Django ORM, OpenRouter (Phase 1), pgvector + Neon Postgres (Phase 4), LTI 1.3 (Phase 5), WorkOS or UW SAML (Phase 6). + +--- + +## Phase Dependency Graph + +``` +Phase 1: OpenRouter swap (independent, ships first) + │ + ▼ +Phase 2: Agent runtime abstraction (needs clean LLM call boundary from P1) + │ + ▼ +Phase 3: Multi-tenancy data model (re-keys everything; do before adding more tables) + │ + ├──────────────┐ + ▼ ▼ +Phase 4: RAG + Phase 5: Canvas LTI 1.3 + pgvector (multi-tenant identity mapping) + │ │ + └──────┬───────┘ + ▼ +Phase 6: UW hosting + FERPA/HIPAA (ongoing; cutover after P3+) +``` + +Calendar-week estimate against a 3-engineer SSE pod with AI-assisted dev: +- Phase 1: 3–5 days +- Phase 2: 2–3 weeks +- Phase 3: 1–2 weeks +- Phase 4: 1.5–2 weeks +- Phase 5: 2–2.5 weeks (gated by UW Canvas team availability) +- Phase 6: ongoing throughout; cutover ~1 week after P3 + +--- + +## Phase 1: OpenRouter Swap + +**Goal:** Replace the direct OpenAI client with a configurable base-URL OpenAI client so each `LLMConfig` can route to OpenAI, OpenRouter, or any OpenAI-compatible provider (Azure OpenAI, vLLM, etc.). Unblocks Claude, Gemini, and open-weight model selection per course without code changes. + +**Why this is Phase 1:** Smallest scope, zero dependencies, immediate value to all four PIs, validates the SSE engagement model on a low-risk change. + +**File Structure:** + +| File | Responsibility | Action | +|---|---|---| +| `apps/llm/src/llm/models.py` | `LLMConfig` model | Add `base_url` field | +| `apps/llm/src/llm/migrations/0003_llmconfig_base_url.py` | Schema migration | Create | +| `apps/llm/src/llm/services.py` | `LLMService` + OpenAI client | Wire `base_url` into client instantiation | +| `apps/llm/src/llm/views.py` | Form parsing | Add `base_url` to create/edit | +| `apps/llm/tests/test_services.py` | Service tests | Update mock assertions + add base_url tests | +| `apps/llm/tests/test_models.py` | Model tests | Add base_url default test | +| `apps/llm/templates/llm/config_form.html` | Config form | Add base_url field, expand model dropdown | +| `apps/llm/templates/llm/config_detail.html` | Detail view | Show base_url | +| `src/llteacher/management/commands/populate_test_database.py` | Seed data | Use OpenRouter URL in seed config | +| `README.md` | Setup docs | Document OpenRouter setup | + +**Test command (use throughout):** +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests +``` + +--- + +### Task 1: Add `base_url` field to `LLMConfig` model + +**Files:** +- Modify: `apps/llm/src/llm/models.py:6-33` +- Create: `apps/llm/src/llm/migrations/0003_llmconfig_base_url.py` +- Modify: `apps/llm/tests/test_models.py` + +- [ ] **Step 1: Write the failing test in `apps/llm/tests/test_models.py`** + +Add this test method to the existing `LLMConfig` test class (or create a new class if needed): + +```python +def test_base_url_defaults_to_openrouter(self): + """New LLMConfig instances default base_url to OpenRouter's API.""" + config = LLMConfig.objects.create( + name="Base URL Default Test", + model_name="anthropic/claude-3.5-sonnet", + api_key="sk-or-test", + base_prompt="You are a tutor.", + ) + self.assertEqual(config.base_url, "https://openrouter.ai/api/v1") + +def test_base_url_accepts_custom_value(self): + """LLMConfig stores any OpenAI-compatible base URL.""" + config = LLMConfig.objects.create( + name="Custom Base URL", + model_name="gpt-4o", + api_key="sk-test", + base_prompt="You are a tutor.", + base_url="https://api.openai.com/v1", + ) + self.assertEqual(config.base_url, "https://api.openai.com/v1") +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests.test_models +``` + +Expected: FAIL with `AttributeError: 'LLMConfig' object has no attribute 'base_url'` or similar. + +- [ ] **Step 3: Add `base_url` field to `LLMConfig`** + +Edit `apps/llm/src/llm/models.py` and add the field after `api_key` (around line 11): + +```python +class LLMConfig(models.Model): + """Configuration for LLM integration.""" + id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False) + name = models.CharField(max_length=100, unique=True) + model_name = models.CharField(max_length=100, help_text="LLM model to use (e.g., 'anthropic/claude-3.5-sonnet', 'openai/gpt-4o')") + api_key = models.CharField(max_length=255, help_text="API key for LLM service") + base_url = models.URLField( + max_length=500, + default="https://openrouter.ai/api/v1", + help_text="OpenAI-compatible API base URL (OpenRouter, OpenAI, Azure, etc.)", + ) + base_prompt = models.TextField(help_text="Base prompt template for AI tutor") + temperature = models.FloatField( + default=0.7, + validators=[MinValueValidator(0.0), MaxValueValidator(2.0)] + ) + max_completion_tokens = models.PositiveIntegerField(default=1000) + is_default = models.BooleanField(default=False) + is_active = models.BooleanField(default=True) + created_at = models.DateTimeField(auto_now_add=True) + updated_at = models.DateTimeField(auto_now=True) + + class Meta: + db_table = 'llm_config' + + def __str__(self): + return f"{self.name} ({self.model_name})" + + def save(self, *args, **kwargs): + """Ensure only one default config exists.""" + if self.is_default: + LLMConfig.objects.filter(is_default=True).update(is_default=False) + super().save(*args, **kwargs) +``` + +Also broaden the `model_name` help text as shown above. + +- [ ] **Step 4: Generate the migration** + +```bash +uv run python manage.py makemigrations llm --name llmconfig_base_url +``` + +Expected output: creates `apps/llm/src/llm/migrations/0003_llmconfig_base_url.py` adding the `base_url` field with the default value. + +- [ ] **Step 5: Run tests to verify they pass** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests.test_models +``` + +Expected: PASS for both new tests; no existing test regressions. + +- [ ] **Step 6: Commit** + +```bash +git add apps/llm/src/llm/models.py apps/llm/src/llm/migrations/0003_llmconfig_base_url.py apps/llm/tests/test_models.py +git commit -m "feat(llm): add base_url to LLMConfig for OpenRouter compatibility" +``` + +--- + +### Task 2: Wire `base_url` into both OpenAI client instantiations + +**Files:** +- Modify: `apps/llm/src/llm/services.py:161` (blocking client) +- Modify: `apps/llm/src/llm/services.py:269` (streaming client) +- Modify: `apps/llm/tests/test_services.py:142-172` + +- [ ] **Step 1: Update the existing test assertion to expect `base_url`** + +In `apps/llm/tests/test_services.py`, change the assertion at line 169 from: + +```python +mock_openai_class.assert_called_once_with(api_key=self.llm_config.api_key) +``` + +to: + +```python +mock_openai_class.assert_called_once_with( + api_key=self.llm_config.api_key, + base_url=self.llm_config.base_url, +) +``` + +- [ ] **Step 2: Add a new streaming-client base_url test** + +Append to `TestLLMServiceResponses` in `apps/llm/tests/test_services.py`: + +```python +@patch('llm.services.OpenAI') +def test_stream_response_passes_base_url(self, mock_openai_class): + """Streaming client must receive both api_key and base_url.""" + mock_client = MagicMock() + mock_openai_class.return_value = mock_client + + # Mock a single-chunk stream that finishes + mock_chunk = MagicMock() + mock_chunk.choices = [MagicMock()] + mock_chunk.choices[0].delta.content = "hi" + mock_client.chat.completions.create.return_value = iter([mock_chunk]) + + tokens = list(LLMService.stream_response( + self.conversation, + "Help me understand X.", + "student", + )) + + self.assertEqual(tokens, ["hi"]) + mock_openai_class.assert_called_once_with( + api_key=self.llm_config.api_key, + base_url=self.llm_config.base_url, + ) +``` + +- [ ] **Step 3: Run tests to verify they fail** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests.test_services +``` + +Expected: both `test_get_response` and `test_stream_response_passes_base_url` FAIL because the production code still calls `OpenAI(api_key=...)` without `base_url`. + +- [ ] **Step 4: Update `_generate_openai_response` in `apps/llm/src/llm/services.py:161`** + +Change: + +```python +client = OpenAI(api_key=llm_config.api_key) +``` + +to: + +```python +client = OpenAI( + api_key=llm_config.api_key, + base_url=llm_config.base_url, +) +``` + +- [ ] **Step 5: Update `_generate_streaming_openai_response` in `apps/llm/src/llm/services.py:269`** + +Change: + +```python +client = OpenAI(api_key=llm_config.api_key) +``` + +to: + +```python +client = OpenAI( + api_key=llm_config.api_key, + base_url=llm_config.base_url, +) +``` + +- [ ] **Step 6: Run tests to verify they pass** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests.test_services +``` + +Expected: PASS for both updated and new tests; no regressions. + +- [ ] **Step 7: Commit** + +```bash +git add apps/llm/src/llm/services.py apps/llm/tests/test_services.py +git commit -m "feat(llm): route OpenAI client through configured base_url" +``` + +--- + +### Task 3: Surface `base_url` through the create/edit view layer + +**Files:** +- Modify: `apps/llm/src/llm/services.py:43-51` (`LLMConfigCreateData`) +- Modify: `apps/llm/src/llm/views.py` (create/edit views; specifically the `_parse_create_form_data` around line 175 and `_parse_update_form_data` around line 257 per the research doc) +- Modify: `apps/llm/tests/test_views.py` + +- [ ] **Step 1: Write a failing test in `apps/llm/tests/test_views.py`** + +Add (or extend an existing) test class for the create flow: + +```python +from django.test import TestCase, Client +from django.urls import reverse +from django.contrib.auth import get_user_model +from accounts.models import Teacher +from llm.models import LLMConfig + +User = get_user_model() + + +class LLMConfigCreateViewBaseURLTest(TestCase): + def setUp(self): + self.user = User.objects.create_user( + username="t1@uw.edu", email="t1@uw.edu", password="pw" + ) + Teacher.objects.create(user=self.user) + self.client.force_login(self.user) + + def test_create_persists_base_url(self): + response = self.client.post(reverse("llm:config-create"), { + "name": "Custom Provider", + "model_name": "anthropic/claude-3.5-sonnet", + "api_key": "sk-or-test", + "base_url": "https://example.openai.azure.com/v1", + "base_prompt": "You are a tutor.", + "temperature": "0.5", + "max_completion_tokens": "500", + }) + self.assertEqual(response.status_code, 302) + config = LLMConfig.objects.get(name="Custom Provider") + self.assertEqual(config.base_url, "https://example.openai.azure.com/v1") +``` + +- [ ] **Step 2: Run the test to verify it fails** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests.test_views.LLMConfigCreateViewBaseURLTest +``` + +Expected: FAIL — `LLMConfig.base_url` is left at its default because the view isn't reading the POSTed field. + +- [ ] **Step 3: Add `base_url` to `LLMConfigCreateData`** + +In `apps/llm/src/llm/services.py:43`, change to: + +```python +@dataclass +class LLMConfigCreateData: + name: str + model_name: str + api_key: str + base_prompt: str + base_url: str = "https://openrouter.ai/api/v1" + temperature: float = 0.7 + max_completion_tokens: int = 1000 + is_default: bool = False + is_active: bool = True +``` + +- [ ] **Step 4: Update `create_config` to persist `base_url`** + +Locate the `LLMService.create_config(...)` body (around `apps/llm/src/llm/services.py:467`) and add `base_url=data.base_url` to the `LLMConfig.objects.create(...)` kwargs. + +- [ ] **Step 5: Update `_parse_create_form_data` in `apps/llm/src/llm/views.py`** + +Read the existing parser (around line 175) and add a line that pulls `base_url` from `request.POST`, falling back to the OpenRouter default: + +```python +base_url=request.POST.get("base_url", "https://openrouter.ai/api/v1").strip() + or "https://openrouter.ai/api/v1", +``` + +Pass it through to `LLMConfigCreateData(...)`. + +- [ ] **Step 6: Update `_parse_update_form_data` in `apps/llm/src/llm/views.py`** + +Locate the update parser (around line 257) and conditionally include `base_url` in the returned dict when the POST contains a non-empty value: + +```python +base_url = request.POST.get("base_url", "").strip() +if base_url: + update_data["base_url"] = base_url +``` + +`LLMService.update_config` already iterates the dict and applies fields by key, so no further service change is required — verify by reading `update_config` around line 504. + +- [ ] **Step 7: Run tests to verify they pass** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests +``` + +Expected: PASS for all new tests; no regressions in `test_models`, `test_services`, or `test_views`. + +- [ ] **Step 8: Commit** + +```bash +git add apps/llm/src/llm/services.py apps/llm/src/llm/views.py apps/llm/tests/test_views.py +git commit -m "feat(llm): accept base_url in create/edit views" +``` + +--- + +### Task 4: Update the config form template + +**Files:** +- Modify: `apps/llm/templates/llm/config_form.html:41-50` (model dropdown) +- Modify: `apps/llm/templates/llm/config_form.html:55-60` (add base_url field before api_key) +- Modify: `apps/llm/templates/llm/config_detail.html` (show base_url in the detail `
`) + +- [ ] **Step 1: Replace the model dropdown with an OpenRouter-style identifier list** + +In `apps/llm/templates/llm/config_form.html`, replace lines 41–48 (the ` + + + + + + + + + + + + + + + +
OpenRouter-style identifiers (e.g., anthropic/claude-3.5-sonnet) or bare OpenAI names if pointing at the direct OpenAI endpoint.
+``` + +- [ ] **Step 2: Add a `base_url` input above the API key field** + +In `apps/llm/templates/llm/config_form.html`, insert this block immediately before the existing `api_key` block (currently at line 54): + +```html +
+ + +
+ OpenAI-compatible endpoint. Defaults to https://openrouter.ai/api/v1. + Use https://api.openai.com/v1 for a direct OpenAI key. +
+
+``` + +- [ ] **Step 3: Surface `base_url` on the detail page** + +Open `apps/llm/templates/llm/config_detail.html` and locate the `
` block listing model_name, temperature, etc. (around line 40 per the research doc). Add a `
`/`
` pair for `base_url`: + +```html +
Base URL
+
{{ data.config.base_url }}
+``` + +- [ ] **Step 4: Manually render the form and verify** + +```bash +uv run python manage.py runserver +``` + +Visit `http://localhost:8000/llm/create/`, log in as a teacher, confirm: +- The base_url field renders with the OpenRouter default prefilled. +- The model dropdown shows the new grouped options. +- Submitting the form persists the chosen base_url (check via the detail page). + +- [ ] **Step 5: Commit** + +```bash +git add apps/llm/templates/llm/config_form.html apps/llm/templates/llm/config_detail.html +git commit -m "feat(llm): expose base_url and provider-grouped model picker in admin UI" +``` + +--- + +### Task 5: Update the seed-data command + +**Files:** +- Modify: `src/llteacher/management/commands/populate_test_database.py:122-162` (the `create_llm_config` method) + +- [ ] **Step 1: Update the seeded `LLMConfig` to use an OpenRouter-style identifier and base_url** + +In `src/llteacher/management/commands/populate_test_database.py`, locate the `LLMConfig.objects.create(...)` call inside `create_llm_config` and change: + +```python +LLMConfig.objects.create( + name='Test GPT-4 Config', + model_name='gpt-5', + api_key='test-api-key-placeholder', + base_prompt='...long string...', + temperature=0.7, + max_completion_tokens=1000, + is_default=True, + is_active=True, +) +``` + +to: + +```python +LLMConfig.objects.create( + name='Test OpenRouter Config', + model_name='anthropic/claude-3.5-haiku', + api_key='test-api-key-placeholder', + base_url='https://openrouter.ai/api/v1', + base_prompt='...long string...', + temperature=0.7, + max_completion_tokens=1000, + is_default=True, + is_active=True, +) +``` + +Preserve the existing long `base_prompt` string verbatim — do not retype it. + +- [ ] **Step 2: Run the seed against an in-memory DB to verify it loads** + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests +``` + +(The test DB rebuilds from migrations; this confirms migrations + seed model both work end-to-end.) + +Expected: PASS. + +- [ ] **Step 3: Run the populate command against the dev DB** + +```bash +uv run python manage.py populate_test_database --reset +``` + +Expected: command exits 0 with the printed summary; the `LLMConfig` row has the new name, `model_name='anthropic/claude-3.5-haiku'`, and `base_url='https://openrouter.ai/api/v1'`. + +- [ ] **Step 4: Commit** + +```bash +git add src/llteacher/management/commands/populate_test_database.py +git commit -m "chore(seed): default seeded LLMConfig to OpenRouter Claude Haiku" +``` + +--- + +### Task 6: Update README configuration section + +**Files:** +- Modify: `README.md` (Configuration / API Key Setup section) + +- [ ] **Step 1: Rewrite the "API Key Setup" section** + +Replace the existing "Option 1: Through Admin Interface" / "Option 2: Update Test Database Population" / "Getting an OpenAI API Key" subsections with: + +```markdown +### LLM Provider Setup + +LLteacher routes all model calls through OpenAI-compatible endpoints. By default each `LLMConfig` points at OpenRouter (`https://openrouter.ai/api/v1`), which gives you OpenAI, Anthropic, Google, and open-weight models behind a single key. + +#### Recommended: OpenRouter (multi-provider) + +1. Create an account and key at https://openrouter.ai/keys +2. Start the dev server: `python manage.py runserver` +3. Sign in at `/admin/`, edit the seeded `LLMConfig`, and paste your key into **API Key**. Leave **API Base URL** at the OpenRouter default. +4. Choose a model in the **Model Name** dropdown (e.g., `anthropic/claude-3.5-sonnet`). + +#### Alternative: Direct OpenAI + +If you have an enterprise OpenAI key (e.g., via UW-IT) and want to bypass OpenRouter: +- Set **API Base URL** to `https://api.openai.com/v1` +- Set **Model Name** to a bare OpenAI identifier (`gpt-4o`, `gpt-4o-mini`) + +#### Alternative: Azure OpenAI + +- Set **API Base URL** to your Azure deployment URL (`https://.openai.azure.com/openai/deployments//`) +- Set **Model Name** to the deployment name + +#### Testing your configuration + +Use the **Test Configuration** button on the LLM config detail page. It sends a one-shot request and returns the response text + token count. +``` + +- [ ] **Step 2: Update the troubleshooting note** + +Find the "No valid LLM configuration available" line in the existing Troubleshooting section and append: + +```markdown +- Verify the **API Base URL** matches your provider (OpenRouter, OpenAI, or Azure). A wrong base URL surfaces as a generic technical-issue message with a reference ID. +``` + +- [ ] **Step 3: Commit** + +```bash +git add README.md +git commit -m "docs: document OpenRouter as default LLM provider" +``` + +--- + +### Phase 1 Done-Definition + +Run the full Phase 1 test suite plus a manual smoke test: + +```bash +uv run python run_tests.py --settings=src.llteacher.test_settings apps.llm.tests +uv run python manage.py migrate --check +uv run python manage.py populate_test_database --reset +uv run python manage.py runserver +``` + +Manually verify: +- [ ] Create a new LLMConfig pointed at OpenRouter with a real key, model `anthropic/claude-3.5-haiku`. +- [ ] Start a conversation as a student on a seeded section; confirm the AI tutor responds. +- [ ] Repeat with model `openai/gpt-4o-mini` (same OpenRouter key). +- [ ] Repeat with a direct-OpenAI config (`base_url=https://api.openai.com/v1`, `model_name=gpt-4o-mini`); confirm the AI tutor responds. +- [ ] Streaming path: verify the SSE chat (`/conversations/api//stream/`) still emits tokens against the new providers. + +--- + +## Phase 2: Agent Runtime Abstraction + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Extract the LLM-call logic from `LLMService` and the AI-message-creation logic from `ConversationService` into a pluggable `AgentRuntime` interface so each Course can be backed by a different runtime (single-prompt LLteacher, Polya 4-phase state machine, RAG-grounded, future multi-agent). + +**Depends on:** Phase 1 (clean OpenAI-compatible client boundary). + +**Proposed interface (to be validated in a brainstorming session):** + +```python +# New file: apps/llm/src/llm/runtimes/base.py +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Iterator +from uuid import UUID + +@dataclass(frozen=True) +class TurnInput: + conversation_id: UUID + user_message: str + message_type: str # 'student' | 'code' | ... + +@dataclass(frozen=True) +class TurnEvent: + """A discrete event a runtime emits while processing a turn.""" + kind: str # 'ai_token' | 'ai_message_complete' | 'tool_call' | 'phase_transition' | 'error' + data: dict + +class AgentRuntime(ABC): + """Per-Course strategy for processing one conversation turn.""" + + @abstractmethod + def run_turn(self, turn: TurnInput) -> Iterator[TurnEvent]: + """Yield events as the turn is processed. Persistence is the runtime's job.""" + + @abstractmethod + def initial_message(self, conversation_id: UUID) -> str: + """Return the opening message when a conversation starts.""" +``` + +**Files affected (rough scope):** +- Create: `apps/llm/src/llm/runtimes/__init__.py`, `runtimes/base.py`, `runtimes/single_prompt.py` (today's LLteacher logic), `runtimes/polya.py` (state machine for Laurel's tutor), `runtimes/registry.py` (name → class mapping) +- Modify: `apps/conversations/src/conversations/services.py` — `ConversationService.process_message` delegates to a runtime resolved from the conversation's course +- Modify: `apps/conversations/src/conversations/views.py:344` — SSE view yields runtime events directly +- Modify: `apps/llm/src/llm/models.py` — add `runtime_name` field to `LLMConfig` (or `Course` once multi-tenancy lands) +- Migration: add `runtime_name` column with default `'single_prompt'` +- Tests: `apps/llm/tests/test_runtimes_single_prompt.py`, `apps/llm/tests/test_runtimes_polya.py` + +**Key design questions to settle in brainstorming:** +1. Is the runtime stateful per conversation, or stateless with state pulled from messages each turn? (Polya needs phase tracking.) +2. How does a runtime persist its own state? (New `ConversationRuntimeState` table? Re-derive from message history?) +3. Where does message persistence happen — inside the runtime or in `ConversationService`? (Today the per-token save lives in `ConversationService._process_streaming_response:562-564`.) +4. How are tools (R execution result ingestion, future RAG document retrieval, Polya's readiness sub-call) modeled? (LangChain-style ReAct? Vercel AI SDK tool-call shape?) +5. What's the contract for emitting events? (Pure `Iterator[TurnEvent]`? Async generator? Both for parity with the SSE endpoint?) +6. Where does the runtime selection live — `Course.default_runtime`, `LLMConfig.runtime`, or `Homework.runtime`? + +**Estimated effort:** 2–3 weeks with AI-assisted dev. + +**Next step:** Run `/superpowers:brainstorming` against the design questions above, then `/superpowers:writing-plans` against the resulting spec. + +--- + +## Phase 3: Multi-Tenancy Data Model + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Add `Organization` → `Course` → `Instructor` above `Homework` so one deployment can host the four CDI projects (and future ones) without colliding on data, prompts, runtimes, or LLM configs. + +**Depends on:** Phase 1 (so per-course LLM routing has a target); should land before Phase 4 to avoid re-keying documents/embeddings. + +**Files affected (rough scope):** +- Create: `apps/orgs/` (new Django app) with models `Organization`, `Course`, `CourseMembership` +- Modify: `apps/homeworks/src/homeworks/models.py:7-31` — `Homework.course = ForeignKey('orgs.Course', ...)`; deprecate direct `created_by → Teacher` (move teacher to `CourseMembership(role='instructor')`) +- Modify: `apps/accounts/src/accounts/models.py` — replace single global `Teacher`/`Student` with `CourseMembership(role)` (or keep profiles for global-role hints and add per-course memberships on top) +- Modify: every queryset in `apps/homeworks`, `apps/conversations`, `apps/llm` to filter by current course +- Modify: every permission decorator in `src/llteacher/permissions/decorators.py:37-192` to scope by course +- Create: middleware or context processor that resolves the current `Course` from URL or session +- Migration: data migration that creates a default Organization + Course and back-fills FKs on existing rows + +**Key design questions to settle in brainstorming:** +1. Is `Course` keyed by URL slug (`/c//...`), subdomain (`.llteacher.uw.edu`), or session state? +2. Do students belong to one course at a time or many? (Affects `Conversation.user` semantics.) +3. Are `LLMConfig` rows global or per-Org? (Probably per-Org — Lakshmi's HIPAA constraints don't apply to Ali's econ class.) +4. Does the seeded admin superuser need to belong to every org, or to a special "platform" org with cross-org visibility? +5. How does the migration handle the existing single-tenant SQLite deployment Sara is running? +6. Soft-delete-or-archive semantics for inactive Orgs/Courses (term-over-term cleanup)? + +**Estimated effort:** 1–2 weeks with AI-assisted dev; migration is the riskiest part. + +**Next step:** Brainstorm against the questions above, then write a Phase 3 plan that explicitly sequences the data migration to preserve Sara's 180-student dataset. + +--- + +## Phase 4: RAG + pgvector + Document Upload + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Let instructors upload course materials (PDFs, slides, lecture transcripts), chunk + embed them with pgvector, and ground LLM responses in those materials via the `RAGGroundedRuntime` from Phase 2. Unlocks Ali (econ) and Lakshmi (clinical informatics). + +**Depends on:** Phase 2 (so the RAG behavior is a runtime variant, not a special-case in `LLMService`), Phase 3 (so documents are scoped per course). + +**Files affected (rough scope):** +- Modify: `src/llteacher/settings.py:71-76` and `src/llteacher/production.py:79-84` — switch `DATABASES` from SQLite to Postgres (Neon connection string via env var) +- Add: `psycopg[binary]`, `pgvector` to `pyproject.toml` +- Create: `apps/documents/` Django app with models `Document`, `DocumentChunk(embedding=VectorField(1536))`, `DocumentIngestJob` +- Create: `apps/documents/src/documents/services.py` — upload → text extract (PyMuPDF for PDFs, python-pptx for slides) → chunk (token-aware) → embed (via OpenRouter or direct OpenAI embedding endpoint) → persist +- Create: `apps/documents/src/documents/retrieval.py` — `retrieve_chunks(course, query, k=8)` returning ranked `DocumentChunk`s via pgvector cosine similarity +- Create: `apps/llm/src/llm/runtimes/rag_grounded.py` — Phase 2 runtime that retrieves chunks and injects them into the prompt +- Templates: upload page, document list, per-document chunk viewer (for debugging) + +**Key design questions to settle in brainstorming:** +1. Embedding model — `text-embedding-3-small` (cheap, 1536d) or `text-embedding-3-large` (better, 3072d)? +2. Chunk strategy — fixed-token windows, semantic splitting, or document-structure-aware (slides → one chunk per slide; PDFs → one chunk per heading)? +3. Where does the retrieval call happen in the runtime — before the system prompt or as a tool-call the model invokes when needed? +4. Reranking — keep simple cosine top-k, or add a cross-encoder reranker? +5. Hybrid search — vector only, or vector + BM25? +6. Document update / re-embed lifecycle when instructors edit materials. +7. Async ingestion job runner — Django-Q, dramatiq, or sync-with-progress-bar for v1? + +**Estimated effort:** 1.5–2 weeks with AI-assisted dev; the Postgres/SQLite cutover is the biggest unknown. + +**Next step:** Brainstorm against the questions above; consider running a 1-day spike to validate embedding cost + retrieval quality against a sample of Ali's econ materials before committing to a design. + +--- + +## Phase 5: Canvas LTI 1.3 Integration + +**STATUS: SCOPE ONLY — must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Let instructors embed LLteacher assignments into Canvas; let students click through from Canvas → LLteacher (auto-authenticated, auto-enrolled in the right Course); pull course rosters from Canvas. **Explicit non-goal for v1: grade passback** — every PI said this is where Canvas integrations stall, and Sara's "fake assignment + manual link" workaround is good enough through the fall pilot. + +**Depends on:** Phase 3 (Canvas roster → tenant identity mapping); Phase 6 hosting decisions affect LTI deployment URL. + +**Files affected (rough scope):** +- Create: `apps/lti/` Django app with `LTIPlatform`, `LTIDeployment`, `LTILaunchSession` models +- Add: `pylti1.3` (or vendor a minimal LTI 1.3 implementation) to `pyproject.toml` +- Create: `apps/lti/src/lti/views.py` — OIDC login init, launch handler (validates JWT, resolves Canvas course → LLteacher Course, creates session) +- Modify: `src/llteacher/urls.py` — mount `/lti/` routes +- Create: management command `canvas_sync_roster ` that pulls members via Canvas API +- Templates: LTI tool config page (the developer-key JSON instructors paste into Canvas) + +**Key design questions to settle in brainstorming:** +1. LTI Advantage extensions to claim — Names & Roles Provisioning (NRPS, for rosters), Deep Linking (for assignment selection inside Canvas), Assignment & Grade Services (AGS, deferred to v2)? +2. How is the Canvas → LLteacher Course mapping made — auto-create on first launch, or instructor-claims-pre-existing-Course? +3. Token storage for Canvas API access — per-instructor (asks them to authorize) or per-deployment service account? +4. Anonymous-user mode (what Sara has now) vs. real Canvas identity — preserve both? +5. UW-IT approval process — is an LLteacher developer key registered per-instructor, per-college, or campus-wide? +6. What happens for students who use the platform outside Canvas (Polya's terminal users, Lakshmi's healthcare providers who may not have Canvas accounts)? + +**Estimated effort:** 2–2.5 weeks of engineering; **the calendar-time bottleneck is UW Canvas team availability for developer-key provisioning** — start that paperwork at the beginning of Phase 1. + +**Next step:** Identify the UW-IT contact for LTI developer-key requests; brainstorm + plan in parallel with the request being processed. + +--- + +## Phase 6: UW Hosting + FERPA/HIPAA Compliance + +**STATUS: SCOPE ONLY — process-heavy; engineering portion must be re-planned via `/superpowers:writing-plans` before execution.** + +**Goal:** Move from current single-instance Coolify deployment to a UW-blessed hosting environment that meets FERPA (Sara, Laurel, Ali) and HIPAA (Lakshmi) requirements. Add SSO via UW NetID or WorkOS-mediated SAML. Establish data-handling contracts (BAAs) with OpenRouter or fall back to an enterprise OpenAI key. + +**Depends on:** Phase 3 multi-tenancy (so SSO maps identities to the right Org/Course); cutover should happen after Phase 3 is stable. + +**Files affected (rough scope):** +- Modify: `src/llteacher/production.py` — SAML/OIDC settings, real `SECRET_KEY` handling via env, `SECURE_*` hardening +- Modify: `apps/accounts/src/accounts/utils.py` and `apps/accounts/src/accounts/views.py` — replace email/password registration with SSO-only when running on UW infra +- Add: `python-saml` (or `mozilla-django-oidc`) to `pyproject.toml` +- Modify: `Dockerfile` / new IaC — move database from SQLite to managed Postgres (Neon, or UW-blessed alternative); secret management via env vars in the hosting platform +- Create: data-handling document (`docs/compliance/data-flows.md`) listing every place PII or PHI crosses a boundary (browser → app → DB → OpenRouter → model provider) for the FERPA/HIPAA reviewer + +**Key design questions to settle (mostly with stakeholders, not engineering):** +1. Hosting platform — UW-IT cloud, UW-blessed Azure (with BAA), an SSE-managed cluster, or staying on Coolify with hardened config? +2. Identity — UW NetID SAML direct, WorkOS as an SSO multiplexer, or both? +3. LLM provider for HIPAA workloads — does OpenRouter have a BAA? If not, route Clinical Informatics traffic to an enterprise OpenAI key (which does) while other courses use OpenRouter. +4. PII scrubbing in prompts — is current "we send anonymized content" guarantee documented, tested, and auditable? Add a middleware that asserts no `User.email`, `User.username`, or `Student.user.first_name`/`last_name` enters the LLM payload. +5. Audit logging — where do conversation logs live for FERPA/HIPAA review? +6. Data retention + deletion — how does a student exercise "delete my data"? +7. Backup/recovery for the Postgres tier. + +**Estimated effort:** Code work ~1 week. **Calendar time is dominated by UW-IT, legal, and BAA review — start day 1 of the engagement.** + +**Next step:** Identify and engage the UW-IT compliance contact for FERPA review and (if Lakshmi's tutor stays in scope) HIPAA review. Engineering tasks come after those conversations clarify constraints. + +--- + +## Self-Review Notes + +**Spec coverage:** All four PIs' stated needs map to phases — multi-model (P1), Polya state machine (P2), RAG (P4), Canvas (P5), FERPA/HIPAA (P6), multi-tenancy is the connective tissue (P3). Conversation-quality grading (Sara's pattern) is already in the codebase and doesn't need a new phase; future plans should preserve it as the cross-runtime evaluation surface. + +**Placeholder scan:** Phase 1 contains no placeholders — every step has either explicit code, a concrete command, or a manual verification check. Phases 2–6 contain scope-level descriptions and design questions, **clearly labeled `STATUS: SCOPE ONLY`** with explicit instructions to re-plan via `/superpowers:writing-plans` before execution. Per the skill's guidance, those phases are not safe to execute from this document. + +**Type consistency:** In Phase 1, the field name `base_url` is used identically across model, dataclass, view parser, template, README, and tests. In Phase 2, the proposed types `TurnInput`, `TurnEvent`, `AgentRuntime` are defined in one place and referenced consistently in the scope description. + +--- + +## Execution Handoff (Phase 1 only) + +Phase 1 is execution-ready. 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"typescript": "^5.7.0", + "vite": "^6.0.0", + "vitest": "^2.1.0", + "wrangler": "^3.95.0" + } + } + } +} diff --git a/package.json b/package.json new file mode 100644 index 00000000..155150e4 --- /dev/null +++ b/package.json @@ -0,0 +1,26 @@ +{ + "name": "llteacher-monorepo", + "private": true, + "version": "0.0.0", + "description": "LLteacher Turborepo — student-facing web app + instructor admin app. Django legacy lives at apps/, src/, services/ until cutover.", + "workspaces": [ + "apps/web", + "apps/admin", + "packages/*" + ], + "scripts": { + "build": "turbo run build", + "dev": "turbo run dev", + "typecheck": "turbo run typecheck", + "test": "turbo run test", + "lint": "turbo run lint", + "clean": "turbo run clean && rm -rf node_modules" + }, + "devDependencies": { + "turbo": "^2.3.0" + }, + "packageManager": "npm@10.0.0", + "engines": { + "node": ">=20" + } +} diff --git a/packages/ui/.gitignore b/packages/ui/.gitignore new file mode 100644 index 00000000..eb2dbcba --- /dev/null +++ b/packages/ui/.gitignore @@ -0,0 +1,6 @@ +node_modules/ +dist/ +*.tsbuildinfo +*.config.d.ts +*.config.js +.turbo/ diff --git a/packages/ui/README.md b/packages/ui/README.md new file mode 100644 index 00000000..7100f155 --- /dev/null +++ b/packages/ui/README.md @@ -0,0 +1,31 @@ +# @llteacher/ui + +Shared design system for the LLteacher monorepo. Consumed by `apps/web` and `apps/admin`. + +Contains: +- **`styles.css`** — Tailwind 4 `@theme` token system + utility classes (UW Husky Purple chrome, Heritage Gold AI markers, Geist type) +- **`src/components/`** — React 19 components: `TopNav`, `Sidebar`, `ConversationView`, `Message`, `Composer`, `CodeBlock`, `SectionItem`, `Button`, `Input`, `Badge`, `Spinner` +- **`src/index.ts`** — barrel export for everything + +## Usage + +In a consuming app's `package.json`: + +```json +"dependencies": { + "@llteacher/ui": "*" +} +``` + +Then in the app's entry: + +```ts +import "@llteacher/ui/styles.css"; +import { TopNav, Sidebar, ConversationView } from "@llteacher/ui"; +``` + +No build step required — `exports` points at TypeScript source. Vite handles compilation in each consuming app. + +## Design system docs + +See `docs/design-system/` at the repo root. diff --git a/packages/ui/package.json b/packages/ui/package.json new file mode 100644 index 00000000..aef8265f --- /dev/null +++ b/packages/ui/package.json @@ -0,0 +1,28 @@ +{ + "name": "@llteacher/ui", + "private": true, + "version": "0.0.0", + "type": "module", + "description": "LLteacher shared design system — UW Husky Purple chrome, Heritage Gold AI markers, Geist type system. Consumed by apps/web and apps/admin.", + "exports": { + ".": "./src/index.ts", + "./styles.css": "./styles.css" + }, + "scripts": { + "typecheck": "tsc -b", + "test": "vitest run --passWithNoTests" + }, + "dependencies": { + "@phosphor-icons/react": "^2.1.7" + }, + "peerDependencies": { + "react": "^19.0.0", + "react-dom": "^19.0.0" + }, + "devDependencies": { + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "typescript": "^5.7.0", + "vitest": "^2.1.0" + } +} diff --git a/packages/ui/src/components/Badge.tsx b/packages/ui/src/components/Badge.tsx new file mode 100644 index 00000000..d0c9c955 --- /dev/null +++ b/packages/ui/src/components/Badge.tsx @@ -0,0 +1,69 @@ +/* -------------------------------------------------------------------------- + Badge — tiny small-caps mono label. + + In the v2 aesthetic, badges are never pills with vivid fills. + They are inline typographic labels: mono small-caps, optionally outlined + with a thin 1px border. No rounded corners beyond 2px. + + Variant: + neutral — muted text, no border + accent — Husky Purple text, no border + outlined — muted text + thin border + -------------------------------------------------------------------------- */ + +export type BadgeVariant = "neutral" | "accent" | "success" | "warning" | "danger"; +export type BadgeSize = "sm" | "md"; + +export interface BadgeProps { + variant?: BadgeVariant; + size?: BadgeSize; + outlined?: boolean; + children: React.ReactNode; + className?: string; +} + +const VARIANT_CLASSES: Record = { + neutral: "badge", + accent: "badge badge--accent", + success: "badge", + warning: "badge", + danger: "badge", +}; + +const VARIANT_STYLE: Record = { + neutral: {}, + accent: {}, + success: { color: "var(--color-success)" }, + warning: { color: "var(--color-warning)" }, + danger: { color: "var(--color-error)" }, +}; + +const SIZE_STYLE: Record = { + sm: { fontSize: "0.6875rem" }, + md: { fontSize: "var(--font-size-xs)" }, +}; + +export function Badge({ + variant = "neutral", + size = "md", + outlined = false, + children, + className = "", +}: BadgeProps) { + const classes = [ + VARIANT_CLASSES[variant], + outlined ? "badge--outlined" : "", + className, + ] + .filter(Boolean) + .join(" "); + + return ( + + {children} + + ); +} diff --git a/packages/ui/src/components/Button.tsx b/packages/ui/src/components/Button.tsx new file mode 100644 index 00000000..372adb5f --- /dev/null +++ b/packages/ui/src/components/Button.tsx @@ -0,0 +1,112 @@ +import { forwardRef } from "react"; + +/* -------------------------------------------------------------------------- + Button — text-link or minimal outlined action affordance. + + In the v2 aesthetic, buttons are never vivid filled pills. They are: + - Text-links (default) — inherit body text, hover darkens + - Accent variant — Husky Purple, for primary actions (e.g., ▸ Submit) + - Danger variant — error color, for destructive actions + - Outlined variant — thin border, no fill + + The `leadingIcon` prop is used for marker prefixes (▸, ◇, etc.). + Loading state renders a rotating * inline rather than a spinner. + -------------------------------------------------------------------------- */ + +export type ButtonVariant = "default" | "accent" | "danger" | + /* Legacy names — mapped internally for backward compatibility */ + "primary" | "secondary" | "ghost"; + +export type ButtonSize = "sm" | "md" | "lg"; + +export interface ButtonProps + extends React.ButtonHTMLAttributes { + variant?: ButtonVariant; + size?: ButtonSize; + loading?: boolean; + outlined?: boolean; + leadingIcon?: React.ReactNode; + trailingIcon?: React.ReactNode; + children: React.ReactNode; +} + +/* Normalize legacy variant names */ +function resolveVariant(v: ButtonVariant): "default" | "accent" | "danger" { + if (v === "primary" || v === "accent") return "accent"; + if (v === "danger") return "danger"; + return "default"; +} + +const SIZE_FONT: Record = { + sm: "text-sm", + md: "text-base", + lg: "text-lg", +}; + +export const Button = forwardRef( + function Button( + { + variant = "default", + size = "md", + loading = false, + outlined = false, + leadingIcon, + trailingIcon, + disabled, + children, + className = "", + ...rest + }, + ref, + ) { + const resolved = resolveVariant(variant); + const isDisabled = disabled || loading; + + const classes = [ + "btn", + resolved === "accent" ? "btn--accent" : "", + resolved === "danger" ? "btn--danger" : "", + outlined ? "btn--outlined" : "", + SIZE_FONT[size], + isDisabled ? "opacity-40 pointer-events-none" : "", + className, + ] + .filter(Boolean) + .join(" "); + + return ( + + ); + }, +); diff --git a/packages/ui/src/components/CodeBlock.tsx b/packages/ui/src/components/CodeBlock.tsx new file mode 100644 index 00000000..13586cb4 --- /dev/null +++ b/packages/ui/src/components/CodeBlock.tsx @@ -0,0 +1,53 @@ +/* -------------------------------------------------------------------------- + CodeBlock — monospace code display with optional R output slot. + + Visual rules: + - Thin top and bottom border rules (no rounded corners) + - Warm code surface (#F4F1EA) with darker output surface (#EDE9DF) + - Language label in tiny mono small-caps at top-right + - "OUTPUT" label in same treatment over the output zone + - No card frame, no shadow + + Props: + lang — language identifier (e.g. "r", "python", "js"). Displayed as label. + output — optional R/REPL execution output string to render below the code. + children — the code string (rendered in a 
)
+   -------------------------------------------------------------------------- */
+
+export interface CodeBlockProps {
+  /** Language identifier — shown as top-right label */
+  lang?: string;
+  /** Optional execution output to render in the output zone */
+  output?: string;
+  children: string;
+}
+
+export function CodeBlock({ lang, output, children }: CodeBlockProps) {
+  const langLabel = lang ? lang.toUpperCase() : null;
+
+  return (
+    

+      {/* Header — language label */}
+      {langLabel && (
+        

+          {langLabel}
+        

+      )}
+
+      {/* Code */}
+      
+        {children}
+      

+
+      {/* Output zone — shown only when output prop is provided */}
+      {output !== undefined && (
+        

+          

+            Output
+          

+          
{output}

+        

+      )}
+    

+  );
+}
diff --git a/packages/ui/src/components/Composer.tsx b/packages/ui/src/components/Composer.tsx
new file mode 100644
index 00000000..ff14f41d
--- /dev/null
+++ b/packages/ui/src/components/Composer.tsx
@@ -0,0 +1,104 @@
+/* --------------------------------------------------------------------------
+   Composer — the sticky input at the bottom of the conversation column.
+
+   Visual rules:
+   - Soft #F6F3ED background, 14px border-radius, no border at rest
+   - 1.5px transparent border at rest (reserves space so focus doesn't shift)
+   - On focus: 1.5px Heritage Gold border + soft warm halo — semantically
+     "the AI is listening"
+   - Heritage Gold caret color (the cursor itself carries the AI-voice mark)
+   - Branded Husky Purple text selection
+   - Placeholder: "Ask, explore, or push back…"
+   - Submit via Enter key (Shift+Enter inserts a newline)
+   - Bottom-right: muted "enter ↵" hint, fades in on focus
+   - Auto-resize via the native `field-sizing: content` CSS property
+     with a JS fallback for browsers that don't support it yet.
+
+   Code blocks are written inline using markdown fences — same pattern as
+   Claude, ChatGPT, Cursor, Slack, GitHub:
+
+       Here's my code:
+       ```r
+       flips <- rbinom(100, 1, 0.5)
+       sum(flips)
+       ```
+       Why does it return 47?
+
+   The message renderer detects the fenced block and renders it monospace
+   with a Run button (WebR) — no mode switch, no state to remember.
+
+   Controlled component — accepts `value` and `onChange`.
+   -------------------------------------------------------------------------- */
+
+import { useRef, useEffect } from "react";
+
+export interface ComposerProps {
+  value: string;
+  onChange: (value: string) => void;
+  onSubmit: (value: string) => void;
+  disabled?: boolean;
+  placeholder?: string;
+}
+
+export function Composer({
+  value,
+  onChange,
+  onSubmit,
+  disabled = false,
+  placeholder = "Ask, explore, or push back…",
+}: ComposerProps) {
+  const textareaRef = useRef(null);
+
+  /* Auto-resize fallback for browsers without field-sizing: content support */
+  useEffect(() => {
+    const ta = textareaRef.current;
+    if (!ta) return;
+    /* Only run the resize if field-sizing is unsupported */
+    const supported =
+      CSS.supports("field-sizing", "content") ||
+      CSS.supports("-webkit-field-sizing", "content");
+    if (supported) return;
+
+    ta.style.height = "auto";
+    ta.style.height = `${ta.scrollHeight}px`;
+  }, [value]);
+
+  const handleKeyDown = (e: React.KeyboardEvent) => {
+    if (e.key === "Enter" && !e.shiftKey) {
+      e.preventDefault();
+      const trimmed = value.trim();
+      if (trimmed && !disabled) {
+        onSubmit(trimmed);
+      }
+    }
+  };
+
+  return (
+    

+      

+        

+          

+            {/* The textarea — single input mode. Code goes in markdown fences. */}
+