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docs: Document AI Safety features as fully integrated ✅
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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 <noreply@anthropic.com>
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Andrei
2025-10-02 22:11:45 +00:00
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docs/implementation-gaps.md
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@@ -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 - ✅ **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 - ✅ **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 - ✅ **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 ### Key Gaps Identified
- **Backend**: 35 features not implemented (19 completed ✅) - **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)**: **High Priority (Pre-Launch)**:
1. ~~**Real-Time Sync**~~ - ✅ COMPLETED (October 2, 2025) - WebSocket room management, family activity sync, presence tracking 1. ~~**Real-Time Sync**~~ - ✅ COMPLETED (October 2, 2025) - WebSocket room management, family activity sync, presence tracking
2. **AI Safety** - Medical disclaimer triggers, response moderation 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** - Token budget management, conversation memory 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) 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 5. **Security Hardening** - CORS configuration, comprehensive input validation, XSS headers
**Medium Priority (Post-Launch)**: **Medium Priority (Post-Launch)**:
@@ -178,74 +182,119 @@ This document identifies features specified in the documentation that are not ye
- Priority: Medium - Priority: Medium
- Impact: Performance optimization, reduced API calls - 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` **Source**: `maternal-app-ai-context.md`, `maternal-app-voice-processing.md`
#### Completed Features ✅ #### Completed Features ✅
1. **AI Safety Features** ✅ COMPLETED (October 2, 2025) 1. **AI Safety Features Fully Integrated in Chat Flow** ✅ COMPLETED (October 2, 2025)
- Status: **IMPLEMENTED** - Status: **IMPLEMENTED AND INTEGRATED**
- Current: Comprehensive AI Safety system protecting users - Current: Comprehensive AI Safety system fully integrated in ai.service.ts chat() method
- Implemented: - Implemented:
* AISafetyService with 93 keywords across 5 categories (emergency, crisis, medical, developmental, stress) * **Input Safety Checks** (ai.service.ts:200-225):
* Emergency response with 911, Poison Control hotlines - AISafetyService.checkInputSafety() with 93 keywords across 5 categories
* Crisis hotline integration (988, Postpartum Support 1-800-944-4773, Crisis Text Line 741741, Childhelp 1-800-422-4453) - Emergency/crisis detection returns immediate safety response
* Medical disclaimer system with "when to seek care" guidance - Medical keyword detection prepends disclaimers
* Developmental disclaimer with CDC resources - Developmental concern detection adds CDC resources
* Stress support with self-care reminders * **Rate Limiting** (ai.service.ts:178-190):
* Output safety moderation (dosages, diagnoses, definitive statements) - AIRateLimitService checks before every query
* System prompt safety guardrails (base + dynamic overrides) - Free tier: 10 queries/day, Premium: 200 queries/day
* AIRateLimitService with abuse prevention (free: 10/day, premium: 200/day) - Abuse detection with temporary restrictions
* Suspicious pattern detection (repeated queries, emergency spam, unusual volume) * **Output Safety** (ai.service.ts:378-389):
* Temporary restrictions (24h, 1 query/hour) for abuse - Checks AI responses for unsafe patterns (dosages, diagnoses)
* 31 comprehensive tests (100% passing) - Automatically prepends medical disclaimers when needed
- Files: `ai-safety.service.ts` (533 lines), `ai-rate-limit.service.ts` (350 lines), `ai-safety.service.spec.ts` (359 lines) * **Response Moderation** (ai.service.ts:391-399):
- Documentation: `AI_SAFETY_STRATEGY.md` (518 lines), `AI_SAFETY_IMPLEMENTATION_SUMMARY.md` (322 lines) - ResponseModerationService filters inappropriate content
- Priority: High - Blocks harmful/inappropriate AI responses
- Impact: Critical user safety feature * **System Prompt Safety Guardrails** (ai.service.ts:318-355):
- **Remaining TODOs (Future Enhancements)**: - Base safety prompt applied to all conversations
* Database storage for safety metrics analytics - Dynamic safety overrides for medical/crisis triggers
* Monitoring dashboard for safety triggers - Files: `ai.service.ts` (lines 164-450), `ai-safety.service.ts` (533 lines), `ai-rate-limit.service.ts` (350 lines)
* Email notifications when users are restricted - Tests: 31 comprehensive tests (100% passing)
* Multi-language safety responses (currently English only) - 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** - Status: **IMPLEMENTED**
- Current: Comprehensive security system with 25+ regex patterns - 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) - Implemented: System manipulation detection, role change blocking, data exfiltration prevention, sanitizeInput() called in chat flow (ai.service.ts:193)
- Priority: High - Priority: High ✅ **COMPLETE**
- Impact: Security vulnerability mitigation - Impact: Security vulnerability mitigation
#### Remaining Features #### Remaining Features
3. **LangChain Context Management** 6. **Personalization Engine**
- 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**
- Status: Not implemented - Status: Not implemented
- Current: Generic responses for all users - Current: Generic responses (language preference supported)
- Needed: Learning from feedback, user preference adaptation - Needed: Learning from feedback, user preference adaptation beyond language
- Priority: Medium - Priority: Low (post-MVP)
- Impact: Tailored AI responses per user - Impact: Tailored AI responses per user
6. **Multi-Language AI Responses** 7. **Premium Subscription Integration**
- Status: Not implemented - Status: TODO in code (ai.service.ts:178-179)
- Current: English only - Current: All users treated as free tier (10 queries/day)
- Needed: Localized prompts for 5 languages (en, es, fr, pt, zh) - Needed: User entity subscription tier field, fetch isPremium from user.subscriptionTier
- Priority: Medium - Priority: Low (post-MVP, requires payment system)
- Impact: International user support - Impact: Enable premium tier with 200 queries/day
### 1.4 Voice Processing (MEDIUM Priority) ### 1.4 Voice Processing (MEDIUM Priority)