docs: Document AI Safety features as fully integrated ✅

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>
2025-10-02 22:11:45 +00:00
parent 7f9226b943
commit 11be6d4962
1 changed files with 104 additions and 55 deletions
--- 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)