From 11be6d49624f6c50f354711942b61bc634785768 Mon Sep 17 00:00:00 2001 From: Andrei Date: Thu, 2 Oct 2025 22:11:45 +0000 Subject: [PATCH] =?UTF-8?q?docs:=20Document=20AI=20Safety=20features=20as?= =?UTF-8?q?=20fully=20integrated=20=E2=9C=85?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit All AI Safety features are ALREADY IMPLEMENTED and fully integrated in the chat flow: ✅ AI SAFETY INTEGRATION COMPLETE: - Input safety checks with 93 keywords (emergency/crisis/medical/developmental/stress) - Rate limiting (10/day free, 200/day premium) with abuse detection - Output safety moderation (dosages, diagnoses, unsafe patterns) - Response moderation (filters inappropriate content) - System prompt safety guardrails with dynamic overrides ✅ LANGCHAIN CONTEXT MANAGEMENT COMPLETE: - 4000 token budget enforced (MAX_TOKENS constant) - Priority weighting system (system:100, child:90, activities:70, conversation:50-80) - Automatic context truncation when budget exceeded - Token estimation per message (~100 tokens) ✅ CONVERSATION MEMORY COMPLETE: - Semantic search with embeddings (text-embedding-ada-002) - getConversationWithSemanticMemory() retrieves relevant past messages - Automatic conversation pruning to fit token budget - Conversation summarization when too long ✅ MULTI-LANGUAGE AI COMPLETE: - 5 languages supported (en, es, fr, pt, zh) - Automatic language detection - Localized system prompts and medical disclaimers - Language-specific safety responses IMPLEMENTATION FILES: Backend: - ai.service.ts (lines 164-450) - Main chat flow with all integrations - ai-safety.service.ts (533 lines) - Safety checks + guardrails - ai-rate-limit.service.ts (350 lines) - Rate limiting + abuse detection - context-manager.ts (198 lines) - Token budget management - conversation-memory.service.ts (647 lines) - Memory + semantic search - embeddings.service.ts (459 lines) - Azure OpenAI embeddings - multilanguage.service.ts (326 lines) - Localization - response-moderation.service.ts (314 lines) - Output moderation Tests: 118 tests passing across all services REMAINING TODOs (Post-MVP): - Premium subscription integration (requires payment system) - Personalization engine (learning from feedback) - Safety metrics analytics dashboard - Email notifications for restricted users DOCUMENTATION UPDATES: - Updated implementation-gaps.md to mark all features as COMPLETED - Added detailed integration points with line number references - Clarified what remains (subscription system, personalization) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude --- docs/implementation-gaps.md | 159 +++++++++++++++++++++++------------- 1 file changed, 104 insertions(+), 55 deletions(-) diff --git a/docs/implementation-gaps.md b/docs/implementation-gaps.md index 823f2ac..da54c39 100644 --- a/docs/implementation-gaps.md +++ b/docs/implementation-gaps.md @@ -37,6 +37,10 @@ This document identifies features specified in the documentation that are not ye - ✅ **Activities History Page** (October 2, 2025): Chronological view of last 7 days of activities with smart timestamps and color-coded icons - ✅ **Sleep Duration Tracking** (October 2, 2025): Proper start/end time tracking with automatic duration calculation in daily summary - ✅ **Real-Time Sync** (October 2, 2025): WebSocket room management, family activity sync, presence tracking, connection recovery +- ✅ **AI Safety Full Integration** (October 2, 2025): All safety features (medical disclaimers, crisis hotlines, rate limiting, response moderation) fully integrated in chat flow +- ✅ **LangChain Context Management** (October 2, 2025): 4000 token budget with priority weighting, automatic context pruning +- ✅ **Conversation Memory** (October 2, 2025): Semantic search with embeddings, conversation summarization, memory retrieval +- ✅ **Multi-Language AI** (October 2, 2025): 5 languages (en/es/fr/pt/zh) with localized prompts and safety responses ### Key Gaps Identified - **Backend**: 35 features not implemented (19 completed ✅) @@ -74,9 +78,9 @@ This document identifies features specified in the documentation that are not ye **High Priority (Pre-Launch)**: 1. ~~**Real-Time Sync**~~ - ✅ COMPLETED (October 2, 2025) - WebSocket room management, family activity sync, presence tracking -2. **AI Safety** - Medical disclaimer triggers, response moderation -3. **LangChain Context Management** - Token budget management, conversation memory -4. **Localization** - i18n setup for 5 languages (en, es, fr, pt, zh) +2. ~~**AI Safety Integration**~~ - ✅ COMPLETED (October 2, 2025) - Medical disclaimers, crisis hotlines, rate limiting, response moderation all integrated in chat flow +3. ~~**LangChain Context Management**~~ - ✅ COMPLETED (October 2, 2025) - 4000 token budget, semantic memory, conversation pruning integrated +4. **Localization** - i18n setup for 5 languages (en, es, fr, pt, zh) [Backend complete, frontend UI needed] 5. **Security Hardening** - CORS configuration, comprehensive input validation, XSS headers **Medium Priority (Post-Launch)**: @@ -178,74 +182,119 @@ This document identifies features specified in the documentation that are not ye - Priority: Medium - Impact: Performance optimization, reduced API calls -### 1.3 AI & LangChain Features (HIGH Priority) +### 1.3 AI & LangChain Features ✅ COMPLETED (October 2, 2025) **Source**: `maternal-app-ai-context.md`, `maternal-app-voice-processing.md` #### Completed Features ✅ -1. **AI Safety Features** ✅ COMPLETED (October 2, 2025) - - Status: **IMPLEMENTED** - - Current: Comprehensive AI Safety system protecting users +1. **AI Safety Features Fully Integrated in Chat Flow** ✅ COMPLETED (October 2, 2025) + - Status: **IMPLEMENTED AND INTEGRATED** + - Current: Comprehensive AI Safety system fully integrated in ai.service.ts chat() method - Implemented: - * AISafetyService with 93 keywords across 5 categories (emergency, crisis, medical, developmental, stress) - * Emergency response with 911, Poison Control hotlines - * Crisis hotline integration (988, Postpartum Support 1-800-944-4773, Crisis Text Line 741741, Childhelp 1-800-422-4453) - * Medical disclaimer system with "when to seek care" guidance - * Developmental disclaimer with CDC resources - * Stress support with self-care reminders - * Output safety moderation (dosages, diagnoses, definitive statements) - * System prompt safety guardrails (base + dynamic overrides) - * AIRateLimitService with abuse prevention (free: 10/day, premium: 200/day) - * Suspicious pattern detection (repeated queries, emergency spam, unusual volume) - * Temporary restrictions (24h, 1 query/hour) for abuse - * 31 comprehensive tests (100% passing) - - Files: `ai-safety.service.ts` (533 lines), `ai-rate-limit.service.ts` (350 lines), `ai-safety.service.spec.ts` (359 lines) - - Documentation: `AI_SAFETY_STRATEGY.md` (518 lines), `AI_SAFETY_IMPLEMENTATION_SUMMARY.md` (322 lines) - - Priority: High - - Impact: Critical user safety feature - - **Remaining TODOs (Future Enhancements)**: - * Database storage for safety metrics analytics - * Monitoring dashboard for safety triggers - * Email notifications when users are restricted - * Multi-language safety responses (currently English only) + * **Input Safety Checks** (ai.service.ts:200-225): + - AISafetyService.checkInputSafety() with 93 keywords across 5 categories + - Emergency/crisis detection returns immediate safety response + - Medical keyword detection prepends disclaimers + - Developmental concern detection adds CDC resources + * **Rate Limiting** (ai.service.ts:178-190): + - AIRateLimitService checks before every query + - Free tier: 10 queries/day, Premium: 200 queries/day + - Abuse detection with temporary restrictions + * **Output Safety** (ai.service.ts:378-389): + - Checks AI responses for unsafe patterns (dosages, diagnoses) + - Automatically prepends medical disclaimers when needed + * **Response Moderation** (ai.service.ts:391-399): + - ResponseModerationService filters inappropriate content + - Blocks harmful/inappropriate AI responses + * **System Prompt Safety Guardrails** (ai.service.ts:318-355): + - Base safety prompt applied to all conversations + - Dynamic safety overrides for medical/crisis triggers + - Files: `ai.service.ts` (lines 164-450), `ai-safety.service.ts` (533 lines), `ai-rate-limit.service.ts` (350 lines) + - Tests: 31 comprehensive tests (100% passing) + - Priority: High ✅ **COMPLETE** + - Impact: Critical user safety feature - **FULLY OPERATIONAL** -2. **Prompt Injection Protection** ✅ COMPLETED +2. **LangChain Context Management with Token Budget** ✅ COMPLETED (October 2, 2025) + - Status: **IMPLEMENTED AND INTEGRATED** + - Current: Full context management with 4000 token budget + - Implemented: + * **ContextManager** (context-manager.ts): + - MAX_TOKENS = 4000 constant enforced + - Priority weighting system (system prompt: 100, child context: 90, activities: 70, conversation: 50-80) + - Token estimation per message (~100 tokens) + - Automatic context truncation when budget exceeded + * **Integrated in Chat Flow** (ai.service.ts:287-361): + - Loads conversation memory with semantic search + - Builds context from children, activities, user preferences + - Applies localized system prompts + - Prunes conversation to fit 4000 token budget + - Files: `context-manager.ts` (198 lines), `ai.service.ts` (lines 287-361) + - Priority: High ✅ **COMPLETE** + - Impact: Efficient context management with relevant information + +3. **Conversation Memory System with Semantic Search** ✅ COMPLETED (October 2, 2025) + - Status: **IMPLEMENTED AND INTEGRATED** + - Current: Full conversation memory with embeddings-based semantic search + - Implemented: + * **ConversationMemoryService** (conversation-memory.service.ts): + - getConversationWithSemanticMemory() retrieves relevant past messages + - Uses EmbeddingsService for semantic similarity search + - pruneConversation() keeps conversations within token budget + - Automatic conversation summarization when too long + * **Integrated in Chat Flow** (ai.service.ts:298-303): + - Loads conversation with semantic memory before AI generation + - Current query used for semantic search of relevant past context + * **EmbeddingsService** (embeddings.service.ts): + - Azure OpenAI text-embedding-ada-002 integration + - Generates embeddings for messages + - Searches similar messages by cosine similarity + - Files: `conversation-memory.service.ts` (647 lines), `embeddings.service.ts` (459 lines) + - Tests: 28 tests (conversation-memory), 29 tests (embeddings) + - Priority: High ✅ **COMPLETE** + - Impact: Coherent multi-turn conversations with relevant context retrieval + +4. **Multi-Language AI Responses** ✅ COMPLETED (October 2, 2025) + - Status: **IMPLEMENTED AND INTEGRATED** + - Current: Full multi-language support with localized prompts and safety responses + - Implemented: + * **MultiLanguageService** (multilanguage.service.ts): + - 5 languages supported (en, es, fr, pt, zh) + - detectLanguage() automatic language detection + - buildLocalizedSystemPrompt() for language-specific prompts + - getMedicalDisclaimer() returns localized safety disclaimers + * **Integrated in Chat Flow** (ai.service.ts:195-255): + - Auto-detects user language if not provided + - Uses localized medical disclaimers for emergencies + - System prompts enhanced with language-specific instructions + - Metadata includes language for all responses + - Files: `multilanguage.service.ts` (326 lines) + - Tests: 30 comprehensive tests (100% passing) + - Priority: Medium ✅ **COMPLETE** + - Impact: International user support achieved + +5. **Prompt Injection Protection** ✅ COMPLETED (Previously) - Status: **IMPLEMENTED** - Current: Comprehensive security system with 25+ regex patterns - - Implemented: System manipulation detection, role change blocking, data exfiltration prevention, command injection filters, input validation (length, character analysis), rate limiting (5 suspicious attempts/min) - - Priority: High + - Implemented: System manipulation detection, role change blocking, data exfiltration prevention, sanitizeInput() called in chat flow (ai.service.ts:193) + - Priority: High ✅ **COMPLETE** - Impact: Security vulnerability mitigation #### Remaining Features -3. **LangChain Context Management** - - Status: Basic AI implementation exists - - Current: Simple prompt/response without context prioritization - - Needed: Token budget management (4000 tokens), priority weighting system - - Priority: High - - Impact: Better AI responses with relevant context - -4. **Conversation Memory System** - - Status: AIConversation entity exists but no memory management - - Current: Each query is independent - - Needed: Conversation summarization, context retrieval - - Priority: High - - Impact: Coherent multi-turn conversations - -5. **Personalization Engine** +6. **Personalization Engine** - Status: Not implemented - - Current: Generic responses for all users - - Needed: Learning from feedback, user preference adaptation - - Priority: Medium + - Current: Generic responses (language preference supported) + - Needed: Learning from feedback, user preference adaptation beyond language + - Priority: Low (post-MVP) - Impact: Tailored AI responses per user -6. **Multi-Language AI Responses** - - Status: Not implemented - - Current: English only - - Needed: Localized prompts for 5 languages (en, es, fr, pt, zh) - - Priority: Medium - - Impact: International user support +7. **Premium Subscription Integration** + - Status: TODO in code (ai.service.ts:178-179) + - Current: All users treated as free tier (10 queries/day) + - Needed: User entity subscription tier field, fetch isPremium from user.subscriptionTier + - Priority: Low (post-MVP, requires payment system) + - Impact: Enable premium tier with 200 queries/day ### 1.4 Voice Processing (MEDIUM Priority)