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Embeddings existed here for Learning Hub semantic search — the card said so itself. Learning Hub was removed, and nothing took its place: the clinical corpus is embedded by the indexing service, not by this app. What was left was a settings page that configured a model, tested it, reported its dimensions, and fed nothing. src/utils/embeddings.js had exactly one importer, src/routes/adminConfig .js, which used it for the three routes this deletes. Outside those, the only mentions of embedding in the server were a comment and a settings prefix. Gone: the module, its three admin routes, the dimension probe, the Discover & test kind and its two panels, the admin.js block behind them, the embeddings. prefix from both the writable-settings allowlist and the lockdown list (it can no longer be written at all, so locking it says nothing), and docs/embeddings-setup.md, which documented Learning Hub search end to end. 'embedding' stays in NON_CHAT_MODES — that is the filter keeping embedding models out of the chat-model list, and the gateway still serves them. Docs still describe nine /api/learning endpoints that no longer exist, left from the Learning Hub removal. Not touched here; that is its own subject. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
265 lines
12 KiB
Markdown
265 lines
12 KiB
Markdown
# Architecture
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Self-hosted clinical documentation platform. Dockerized Node.js server, PostgreSQL, Redis, and vanilla-JS SPA. No build step on the frontend.
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## Stack
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| Layer | Technology |
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|---|---|
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| Runtime | Node.js 24 (Alpine, digest-pinned) + Express 4 |
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| Database | PostgreSQL 16 via the digest-pinned `pgvector/pgvector:pg16` image |
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| Cache / state | Redis for operational cache, prompt suggestions, and queue groundwork |
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| Frontend | Vanilla JavaScript SPA, service-worker cache |
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| Mobile | Capacitor 6 wrapper (Android + iOS) |
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| Container | Docker Compose (app + db + Redis) |
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| Observability | Prometheus metrics at `/metrics`; structured app logs in files, Postgres, and optional Loki |
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| Reverse proxy | External (Caddy, Nginx, Traefik — any) |
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## Repository layout
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```
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server.js # Express entry
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Dockerfile # node:24-alpine base, plus pandoc, python3/python-pptx/python-docx, poppler
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docker-compose.yml # app + postgres
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migrations/ # node-pg-migrate files (versioned)
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scripts/
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maintenance.js # REINDEX / collation-drift CLI
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release.sh # semver bump + tag + push
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src/
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db/
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database.js # pg pool, idempotent baseline init, helpers
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migrate.js # programmatic node-pg-migrate runner
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middleware/
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auth.js # JWT + session-table validation, sliding idle
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logging.js # request log
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utils/
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ai.js # callAI() multi-provider router
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models.js # model registry + server-side whitelist
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prompts.js # prompt templates (DB-overridable)
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crypto.js # AES-256-GCM (PHI at rest)
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passwords.js # argon2id with bcrypt fallback + rehash
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sessions.js # token hashing, UA parser, session-id gen
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platform.js # isMobileClient() detection
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redact.js # PHI redactor for audit details
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auditQueue.js # batched audit/api/access log writer
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fileType.js # magic-byte upload verification
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promptSafe.js # <UNTRUSTED_*> LLM prompt wrapper
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logger.js # audit/api/access + Loki shipper
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errors.js # generic 500 responder
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sttProvider.js, ttsProvider.js # speech-to-text and text-to-speech routing
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documentExport.js # pptx/docx/pdf export
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slideSpec.js, docSpec.js # markdown -> typed spec for the renderers
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deckSchema.js, deckBuild.js # the deck a presentation is designed as
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deckReview.js # optional vision pass over a rendered deck
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routes/ # Express routers (auth, hpi, soap, patient education, …)
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public/ # SPA
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index.html # shell, loads components on demand
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sw.js # service worker (cache shell, network-first API)
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js/ # vanilla JS modules, no build step
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components/ # per-tab HTML fragments
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css/styles.css
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mobile/ # Capacitor wrapper
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capacitor.config.json # appId com.pedshub.scribe
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src/ # launcher (server-URL picker)
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android/ # generated AS project + native Java
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.forgejo/workflows/
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android-apk.yml # signed APK on tag push; optional Play upload
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docker-build.yml # Forgejo registry Docker image build
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.github/workflows/
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auto-version.yml # conventional-commits → semver bump → tag
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android-release.yml # legacy GitHub tag APK release path
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docker-publish.yml # multi-arch image on tag push
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version-bump.yml # manual dispatch override
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build-apk.yml # legacy TWA APK
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```
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## Request pipeline
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```
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request
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→ helmet (CSP, HSTS, X-Content-Type-Options, …)
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→ CORS (APP_URL + CORS_ORIGINS whitelist, fail-closed in prod)
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→ cookieParser
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→ express.json (10 MB cap)
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→ rate limiters (general 200 req/min, per-endpoint tighter on auth)
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→ static (public/ with no-cache on HTML, 1h on JS/CSS; ?v=BUILD_ID busts cache per deploy)
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→ route (feature routers under /api/*)
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→ authMiddleware (on protected routes: JWT, DB session check, 24h idle, last_activity update)
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→ handler
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→ response
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```
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On boot, `server.js`:
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- Validates `JWT_SECRET` and `DATA_ENCRYPTION_KEY` — refuses to start in production without them.
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- Runs `initDatabase()` (idempotent baseline) then `node-pg-migrate` (versioned delta).
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- Checks `pg_database` collation version; auto-REINDEXes + refreshes on drift.
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- Reads git HEAD for `BUILD_ID`; injects `?v=BUILD_ID` into every local `/js/*.js` and `/css/*.css` reference in `index.html`.
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- Registers SIGTERM/SIGINT handlers that drain the audit queue and close the pool before exit.
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## Auth model
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Hybrid, runtime-selected by User-Agent and `X-Client` header:
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| Client | Token transport | Persistence | Idle policy |
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| Web browser | `ped_auth` httpOnly cookie, `sameSite=lax` | 30 d maxAge (sliding) | 24 h from last write request |
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| Capacitor app (`PedScribe-Android` / `Capacitor` UA) | `Authorization: Bearer <jwt>` | iOS Keychain / Android EncryptedSharedPreferences via `capacitor-secure-storage-plugin` | No server-side idle check (persistent) |
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Sessions are validated against `user_sessions.token_hash` on every request. Any
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logout / password-change / admin-revoke drops the row and the next request gets
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401. The service worker clears its caches on logout so a stale shell never
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shows PHI on a shared workstation.
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Conventional-commits auto-tag workflow can push a new semver tag using a
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`RELEASE_PAT` PAT secret so downstream release workflows fire on the tag push
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(the default `GITHUB_TOKEN` is blocked from triggering other workflows by
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design).
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## Frontend
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Single HTML document with `#auth-screen` and `#main-app` sections. Tabs are
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per-feature HTML fragments under `public/components/` fetched on demand. JS
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modules talk via `window` globals and `CustomEvent` on `document` — no
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bundler, no framework. Loader order is fixed in `index.html`.
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Post-note helpers such as billing suggestions, don't-miss review, and patient
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education handouts are reusable browser-side actions backed by authenticated
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JSON APIs. The patient education helper generates a parent-facing plain-text
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draft from the edited note and keeps the clinician in the review loop before
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copying or sharing.
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`authFetch.js` installs a global `fetch` interceptor that treats any 401 on an
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authenticated request as a signal to clear local session state and redirect to
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login. A `BroadcastChannel('pedscribe-auth')` pushes that signal to sibling
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tabs so logging out in one tab drops UI in every open tab.
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## Docker topology
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| Container | Image | Internal port | External |
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| `pediatric-ai-scribe` | `ped-ai-local:latest` (built from repo) | 3000 | 127.0.0.1:3552 |
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| `pedscribe-db` | `pgvector/pgvector:pg16` | 5432 | not exposed |
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| `ped-ai-redis` | Redis | 6379 | not exposed |
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Named volumes: `pgdata` (database), `scribe-logs` (filesystem audit logs), and Redis data if persistence is enabled by compose.
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Application health-check polls `GET /api/health`.
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A reverse proxy terminates TLS and forwards to `127.0.0.1:3552`. The app is
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never bound to a public interface directly.
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## Service worker
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`sw.js` implements two strategies:
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- **Shell assets** (`/`, `/js/*`, `/css/*`, `/components/*`) — cache-first.
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- **`/api/*`** — network-first with cached fallback. Ensures fresh data online,
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last-known-good when offline.
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Precached on install: `index.html`, core JS, main stylesheet, login component.
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Cleared on logout (`caches.keys() → caches.delete()`).
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## Clinical Assistant And MCP
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The clinical assistant can call an external MCP-backed retrieval service. Ped-AI remains responsible for the user workflow, provider selection, prompts, and display. MCP remains responsible for Nextcloud access, indexing, retrieval, and vector search. Clinical answer response caching is intentionally disabled; Redis is used for operational metadata and prompt suggestions, not answer reuse.
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## Speech
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Browser Whisper and browser-local Whisper model downloads are removed from runtime. Speech-to-text routes through LiteLLM; upstream provider choice belongs in LiteLLM config. Browser-native Web Speech remains available only when explicitly enabled by user settings and browser support.
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## Operational map
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The sections above describe the code. These describe the running system: who
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owns what, what crosses each boundary, and where the truth lives when two
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places disagree.
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### Ownership
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Ped-AI is a self-hosted Express application with a browser frontend, PostgreSQL storage, Redis operational state, LiteLLM model routing, and optional MCP-backed clinical retrieval.
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| Area | Owner | Notes |
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| Web app | Ped-AI | Auth, UI, clinical workflows, admin settings, notes, Learning Hub, bedside tools |
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| Database | PostgreSQL | Users, sessions, settings, saved app data, audit/API/access logs |
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| Operational cache | Redis | Prompt suggestions, lightweight state, queue groundwork; not clinical answer caching |
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| Model gateway | LiteLLM | Text, speech and image model discovery and routing |
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| Clinical retrieval | MCP service | Nextcloud access, indexing, search, rerank, source metadata |
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| Reverse proxy | Caddy or equivalent | TLS and public routing |
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### Request Flow
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Normal app request:
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```txt
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browser
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-> reverse proxy
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-> Express middleware
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-> auth/session check when protected
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-> route handler
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-> PostgreSQL/Redis/provider calls as needed
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-> JSON or HTML fragment response
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```
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Clinical Assistant request:
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```txt
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browser
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-> Ped-AI clinical assistant route
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-> MCP semantic search for indexed clinical sources
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-> Ped-AI builds grounded answer prompt
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-> LiteLLM chat model
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-> Ped-AI returns answer plus source metadata
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-> browser renders markdown, citations, and source cards
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```
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Ped-AI owns the user workflow and rendering. MCP owns retrieval and indexed source metadata. LiteLLM owns model routing.
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### Runtime Boundaries
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| Boundary | Main Risk | Current Direction |
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| Browser to Ped-AI | XSS, stale shell, session handling | Sanitized rendering, httpOnly cookie for web, cache busting |
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| Ped-AI to PostgreSQL | schema drift, slow queries | migrations, maintenance checks, indexes where needed |
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| Ped-AI to Redis | unavailable operational state | Redis is useful but should not hold required clinical answers |
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| Ped-AI to LiteLLM | provider downtime, wrong model mode | metadata-based model discovery and timeouts |
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| Ped-AI to MCP | retrieval latency/failure | explicit MCP client layer and graceful fallback messages |
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| MCP to Nextcloud | stale indexed metadata | scanner/indexer updates source metadata over time |
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### Source Of Truth
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| Data | Source Of Truth |
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| User accounts and sessions | Ped-AI PostgreSQL |
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| Admin app settings | Ped-AI PostgreSQL `app_settings` |
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| Clinical source documents | Nextcloud and MCP index |
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| Clinical source title/path shown to users | MCP result metadata, especially indexed `file_path` |
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| Clinical answer text | Generated per request; intentionally not cached |
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| Model availability | LiteLLM metadata and configured fallbacks |
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### Deployment Shape
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Production usually runs:
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```txt
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Caddy/TLS
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-> pediatric-ai-scribe container
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-> pedscribe-db container
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-> ped-ai-redis container
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-> LiteLLM endpoint
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-> MCP endpoint
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```
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The app should stay private behind the reverse proxy. Do not expose PostgreSQL, Redis, MCP internals, or provider keys publicly.
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### Design Principles
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- Keep Ped-AI stateless enough to run more than one app container.
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- Keep clinical answer generation live and source-grounded; do not cache final clinical answers.
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- Prefer model capability metadata over model-name regexes.
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- Prefer indexed file names and paths over embedded PDF metadata for source titles.
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- Keep renderer fixes narrow and tested because LLM markdown is messy.
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- Keep old frontend globals working until the affected feature is intentionally converted to ESM.
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