npm audit reports 0 vulnerabilities. It reported 2 high and 2 moderate this
morning.
@google-cloud/vertexai was the last source of findings — gaxios and a uuid with
a missing buffer bounds check, neither reachable in this deployment because
GOOGLE_VERTEX_PROJECT is unset and the require sits inside that check. Dormant
is not the same as gone, and the provider is available through the gateway
anyway, so the direct path has been removed rather than left to rot:
- the SDK client and callVertex, which without the package could never run
- the dispatch and discovery branches that reached them
- VERTEX_MODELS, a list of ids nothing could route any more, and the two
places in adminConfig that concatenated it into the built-in set
- the health endpoint's vertex line, and the env vars documented for it
AI_PROVIDER=vertex now says where to configure the model instead of quietly
becoming something else. The Google STT and TTS paths keyed off the same
variable are untouched; neither ever used this SDK.
Verified after deploy: provider litellm, the assistant answers with 8 sources,
/api/models returns 10, and @aws-sdk/s3-request-presigner — which documents.js
needs for presigned MinIO URLs — is still declared and resolvable.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
- 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
