- Add logger.audit/access calls to auth route (login, login_failed,
login_blocked, register, password_changed, 2fa_backup_code_used,
2fa_backup_codes_regenerated) — these previously only wrote to DB
via raw SQL, bypassing Loki shipper
- Replace logger.info with logger.apiCall in callAI() so every AI call
ships to Loki with model, tokens, cost, duration
- Add device identifier (parsed user agent) to audit and access logs
- Fix TTS voice/model provider mismatch: auto-detect Vertex voices
(Puck, Charon, Kore, etc.) and ElevenLabs voice IDs, override model
to match provider regardless of what model was previously set
- Fix TTS discovery: model IDs saved to tts.voice are detected and
redirected to tts.model (regex for openai-tts, elevenlabs, vertex-tts)
- Fix STT transcription route: add scribe/elevenlabs/transcri to the
isTranscriptionModel regex so ElevenLabs Scribe uses /audio/transcriptions
endpoint instead of chat completions
- Remove OpenObserve/SigNoz code from logger (reverted to Loki-only)
- 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
Age parser (src/routes/billing.js):
- Now sums year + month + week + day matches so "4 yr 11 mo"
(59 months) correctly maps to the 5-11y billing bracket instead
of being billed as 1-4y. Added bounds sanity check.
Graceful SIGTERM shutdown (server.js):
- Closes the HTTP listener first, then drains batched audit queues,
then ends the Postgres pool. 9-second hard deadline to beat
Docker's 10-second SIGKILL. Previously an in-flight note save
during a container restart could truncate the write.
Explicit LLM fallback opt-in (src/utils/ai.js):
- The OpenRouter / LiteLLM silent fallback now requires admin
setting `ai.allow_model_fallback = true` (default: false). If
primary fails and fallback is disabled, the error is surfaced
to the caller. Prevents silent spillover from a BAA-covered
primary to a non-covered fallback.
Prompt injection delimiters (src/utils/promptSafe.js):
- Wraps user transcripts, dictations, refine-instructions, and
pasted documents in <UNTRUSTED_*>...</UNTRUSTED_*> tags and
appends an explicit system instruction telling the model to
treat the wrapped content as data rather than commands.
- Applied to soap.js, hpi.js, refine.js. Extend to other AI
routes incrementally.
Cross-tab logout sync (public/js/authFetch.js, auth.js):
- BroadcastChannel('pedscribe-auth') — logout in one tab posts
a message; all sibling tabs clear state and reload, dropping
any PHI-containing UI immediately.
Backup code race-free consumption (src/routes/auth.js):
- tryConsumeBackupCode() now uses a Postgres transaction with
SELECT ... FOR UPDATE so concurrent login attempts using the
same code serialize. First wins, second sees the already-
shortened array.
Optimistic encounter locking (migrations/...add-encounter-version):
- saved_encounters.version INTEGER NOT NULL DEFAULT 1
- POST /api/encounters/saved accepts an expected_version and
rejects with 409 if the row has advanced. Falls back to
last-write-wins if the client doesn't pass one (backward compat).
Audit log batching (src/utils/auditQueue.js):
- Audit / api_log / access_log writes are buffered in memory and
flushed every 1s or every 50 entries via one multi-row INSERT.
Under load this reduces DB pressure by ~50x. On SIGTERM the
shutdown path drains the queue before exiting.
Two findings from review:
1. callAI() previously accepted any model string from the client.
POST /api/hpi with { model: "openai/o1" } would call the reasoning
model regardless of whether the operator enabled it. Added
getAllowedModelIds() in src/utils/models.js (60s TTL DB-backed
cache) and a guard at the top of callAI() that rejects with
"model_not_permitted" when the requested ID isn't in the active
roster. No model supplied → silent fallback to DEFAULT_MODEL.
2. Middleware was updating user_sessions.last_activity on every
request, including GETs. Client-side polling (/api/auth/me
heartbeats, dashboard refreshes, log tail calls) kept sessions
alive indefinitely, defeating the 24h sliding idle policy. Now
only POST/PUT/DELETE/PATCH count as "user activity". GETs are
read-only and often automated — they no longer extend the
session. Idle enforcement still runs on every method, so a
24h-idle user still gets kicked on their next GET.
- 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
- 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
- ALL models that need inference profiles now use us. prefix IDs:
Anthropic (all 8), Nova (3), Meta Llama (3), DeepSeek R1, Writer
- Models with low max output tokens (Cohere 4096, Jamba 4096) now
have maxOut field; callBedrock clamps maxTokens automatically
- Removed Qwen3 235B (no us-east-1 support, no inference profile)
- Added better debug logging for response block structure
Opus 4.6, Opus 4.5, Sonnet 4.6, Haiku 4.5 do NOT support direct
on-demand invocation — they require cross-region inference profile IDs
(us.anthropic.* prefix). Updated all affected bedrockIds. Also fixed
isAnthropic check to handle us.anthropic.* prefix.
Sonnet 4.5, Sonnet 4, 3.5 Haiku also updated to use profiles for
consistency (profiles work everywhere, direct IDs are limited).
- Opus 4.6 returns multiple content blocks (thinking + text); was only
reading content[0] which was the thinking block (just '{')
- Now iterates all blocks and extracts only type:'text' blocks
- Added debug logging for Bedrock response structure
- Re-added Nova Pro, Nova Lite, Nova Micro with correct region metadata
- Bedrock: Add 14 non-vendor model models (Amazon Nova, Meta Llama 4, DeepSeek R1/V3,
Mistral Large 3, Cohere Command R+, AI21 Jamba) with verified AWS model IDs
- Bedrock: Implement Converse API for non-Anthropic models (unified cross-model API),
keep native Messages API for vendor model models (best performance)
- Milestones: Add Newborn / 1 month developmental milestones (Gross Motor, Fine Motor,
Language, Social/Emotional, Cognitive) — previously started at 2 months
- Bump version to 3.0.0, docker-compose tag to v3.0
