Safety net for upcoming refactors:
- 26 Playwright smoke tests via @playwright/test 1.50.0 in an official
Playwright container (no host Node needed). Covers every Bedside sub-pill,
the age→weight estimator, dose calculators (seizure/sepsis/anaphylaxis/
burns/airway), and interactive widgets (lightbox, vent SVG).
- `npm run e2e` wrapper runs tests inside mcr.microsoft.com/playwright:v1.50.0-noble
on the ped-ai_default Docker network so no host port mapping is needed.
- public/e2e-harness.html + public/js/e2e-bootstrap.js load the calculators
component without the SPA auth wall (scripts external to satisfy CSP).
Server:
- server.js now re-reads public/index.html on mtime change instead of
caching at boot. Fixes the "edit HTML, restart container" friction.
- CSP upgradeInsecureRequests disabled in helmet config; Caddy still
enforces HTTPS at the reverse-proxy layer in production.
Calculators:
- Bedside tab consolidating emergency protocols (Neonatal+Apgar+NRP, Airway/RSI,
Cardiac Arrest/PALS, Respiratory, O2 & Ventilation, Status Epilepticus,
Sepsis & Fever with PECARN/Aronson/Rochester/Step-by-Step, Anaphylaxis,
Procedural Sedation, Agitation, Antiemetics, Antimicrobials, Burns with
Lund-Browder body-parts TBSA + Parkland, Toxicology, Trauma).
- Global age→weight estimator at top of Calculators tab (APLS + Best Guess).
- Pressure-time waveform SVG teaching graphic for Ventilation.
- Algorithm image lightbox (fullscreen, Esc/tap-to-close).
- Every weight-based dose shows mg/kg inline for clinician verification.
- Drug tables wrapped in overflow-x:auto for mobile.
Infrastructure:
- Pure dose math extracted to public/js/calc-math.js (dual-export Node+browser).
- 36 unit tests in test/calc-math.test.js via node:test (zero new deps).
- "npm test" added to package.json.
- Add neonatal assessment calculator: GA classification (extremely preterm through
post term), weight-for-GA percentile (AGA/SGA/LGA) using Fenton 2013 LMS data,
birth weight category (ELBW/VLBW/LBW/normal/macrosomia)
- Add DOCX support via mammoth, PPTX/ODT/EPUB via jszip in Learning Hub content
generator file upload
- Add gatewayUrl() helper for consistent API URL construction — handles
LITELLM_API_BASE with or without /v1 suffix, works with any OpenAI-compatible
gateway (LiteLLM, Bifrost, etc.)
- Fix TTS model/voice separation: discovery now tags items as MODEL or VOICE,
auto-detects provider from voice name (Vertex, ElevenLabs, OpenAI)
- Fix STT discovery to include ElevenLabs Scribe and Chirp models
- Fix TTS discovery to include ElevenLabs and Vertex voices alongside models
- Fix admin model test to bypass allowlist check (skipAllowlistCheck) so
discovered models can be tested before adding
- Fix Nextcloud token decryption in learningAI.js WebDAV browse and file import
- Fix admin embedding test to show DB model name instead of hardcoded default
- Fix admin STT test to use correct endpoint for Whisper models
- Add AI gateway migration guide to configuration docs
- Add Grafana dashboard JSON for Loki log visualization
Infrastructure only — no existing data or tables modified.
src/db/migrate.js — programmatic runner, fires at boot after
the existing idempotent initDatabase()
migrations/1744600000000... — intentionally empty example, documents
the file shape. Registered in the new
pgmigrations tracking table so it won't
rerun.
.node-pg-migraterc.json — CLI config (migrations-dir, utc naming)
docs/migrations.md — workflow + conventions
package.json — migrate:up/down/new/status npm scripts
(status is a direct pgmigrations query
since node-pg-migrate v7 lacks a status
subcommand)
src/utils/sessions.js:
- parseUserAgent now recognizes the Capacitor wrapper (UA suffix
"PedScribe-Android" / "PedScribe-iOS") and labels sessions
"PedScribe (Android)" instead of "Chrome on Android".
Going forward: schema changes go in /migrations as versioned files
with up() + down(); the inline init in database.js is the implicit
baseline for everything already in production.
Adds `npm run maint:check` (health report) and `npm run maint:reindex`
(REINDEX DATABASE + REFRESH COLLATION VERSION + ANALYZE) for post-
upgrade maintenance, modelled after Nextcloud's occ maintenance.
Documented in README.
Also relaxes postgres image from digest pin back to tag-pin
(pgvector/pgvector:pg16) — the auto-REINDEX-on-drift check in
database.js and the COLLATE "C" protection on critical indexes
make the digest pin redundant while blocking ordinary `compose
pull` updates.
- App-layer AES-256-GCM crypto helper (src/utils/crypto.js)
- Nextcloud tokens encrypted at rest; transparent migration on next use
- Audio backups encrypted at rest (version byte 0x01 envelope); legacy
rows still decrypt as-is until overwritten
- argon2id password hashing via src/utils/passwords.js with bcrypt
fallback; bcrypt hashes rehashed to argon2id on next successful login.
argon2 package is optional — server keeps running with bcrypt only
until npm install adds the native dep
- PHI redactor for audit log details (src/utils/redact.js) — strips SSN,
phone, email, DoB, long IDs; caps at 500 chars; detects note bodies
- DOMPurify (cdnjs, SRI-pinned) replaces custom regex sanitizer in
Learning Hub content rendering
- SRI integrity hashes added for Font Awesome CSS and Chart.js
- Magic-byte file-type verification on document uploads
(src/utils/fileType.js)
- Generic 500 error responses via src/utils/errors.js applied to
nextcloud and audioBackups; full detail still logged server-side
- DATA_ENCRYPTION_KEY env documented in .env.example
Deploy: requires rebuild of the container image to pick up the new
files and `npm install` (adds argon2). Existing users keep working
because bcrypt stays available and crypto helpers pass through
plaintext when the key is not yet set in dev.
- Add FAQ tab with accordion sections: Getting Started, AI & Models,
Voice & Transcription, Saving & Export, Privacy & Security,
Well Visit & Sick Visit, Learning Hub, Troubleshooting
- Documents how AI learns from physician edits (correction tracker)
- Fix FAQ accordion (CSP was blocking inline script, moved to app.js)
- Patch all 5 npm vulnerabilities: nodemailer 8.0.5, xmldom, basic-ftp,
path-to-regexp (npm audit now reports 0 vulnerabilities)
- Remove model category grouping from dropdown (flat list, no optgroups)
- Fix model dropdown dark background on options (white bg, dark text)
- Update FAQ model guidance to reflect admin-managed model selection
- Fix model search for all providers: Bedrock now falls back to built-in
list (with live ListFoundationModels attempt), Azure returns built-in list
- Add Test button on every model row (built-in, discovered, custom) that
sends a live prompt and shows response + latency in a toast
- Add TTS management section: search voices from provider API (Google TTS
voices.list, LiteLLM /v1/models, ElevenLabs /v1/voices), Set as Default
writes tts.voice/tts.model to DB, runtime respects DB override
- Add STT management section: search models from provider (Gemini, Whisper,
LiteLLM, OpenAI, local), Set as Default writes stt.model to DB, runtime
respects DB override in transcribe.js
- Add Embedding models section: search from provider (LiteLLM, Vertex,
OpenAI), Set as Default writes embeddings.model+dimensions to DB,
embeddings.js respects DB override
- Add record-and-transcribe STT test (browser MediaRecorder)
- Add TTS synthesize-and-play test (returns base64 audio)
- Add embedding generate test (shows dims + vector sample)
- Expand PUT /config/:key(*) whitelist to include tts., stt., embeddings.
- Add @aws-sdk/client-bedrock as optional dependency for live Bedrock discovery
BREAKING FIX: Browser Whisper now fully self-contained
Previous issue:
- Loaded transformers.js from cdn.jsdelivr.net
- Downloaded models from cdn-lfs.huggingface.co
- Failed in corporate/clinical networks with firewall
- Stuck at "Initializing..." with no progress
Solution:
- Bundle transformers.js library (~876KB)
- Bundle Whisper tiny.en model (~42MB)
- Serve everything from local server
- Works in ANY network environment
Changes:
- whisperWorker.js: Load transformers from /models/ instead of CDN
- Dockerfile: Download models during Docker build
- Add download script for local dev
- Add comprehensive setup documentation
Docker image size: +~42MB (one-time cost, runtime benefit)
Tested: Works on unrestricted and firewalled networks
- Raise express.json limit from 1MB to 10MB — handles large chart reviews
with many notes (50 full clinic notes ≈ 600KB, well within new limit)
- Client-side: warn user if payload >8MB, friendly toast if >30 notes
- Bump to v13.0.0
- Add Vertex AI provider (Gemini models via @google-cloud/vertexai SDK)
- Add LiteLLM proxy support (OpenAI-compatible, routes to any provider)
- Admin panel: model search/discover from provider API, enable/disable, custom models, set default
- New endpoints: /config/models/discover, /config/models/add-discovered, /config/models/default
- Updated models.js with VERTEX_MODELS and LITELLM_MODELS lists
- Updated health endpoint with vertex + litellm status
