feat: implement Priority 4 backend - Media Triage AI Service
Add AI-powered media inquiry triage with Tractatus governance: - MediaTriage.service.js: Comprehensive AI analysis service - Urgency classification (high/medium/low) with reasoning - Topic sensitivity detection - BoundaryEnforcer checks for values-sensitive topics - Talking points generation - Draft response generation (always requires human approval) - Triage statistics for transparency - Enhanced media.controller.js: - triageInquiry(): Run AI triage on specific inquiry - getTriageStats(): Public transparency endpoint - Full governance logging for audit trail - Updated media.routes.js: - POST /api/media/inquiries/:id/triage (admin only) - GET /api/media/triage-stats (public transparency) GOVERNANCE PRINCIPLES DEMONSTRATED: - AI analyzes and suggests, humans decide - 100% human review required before any response - All AI reasoning transparent and visible - BoundaryEnforcer escalates values-sensitive topics - No auto-responses without human approval Reference: docs/FEATURE_RICH_UI_IMPLEMENTATION_PLAN.md lines 123-164 Priority: 4 of 10 (10-12 hours estimated, backend complete) Status: Backend complete, frontend UI pending 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
TheFlow
parent
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commit
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3 changed files with 636 additions and 1 deletions
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@ -7,6 +7,7 @@ const MediaInquiry = require('../models/MediaInquiry.model');
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const ModerationQueue = require('../models/ModerationQueue.model');
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const GovernanceLog = require('../models/GovernanceLog.model');
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const BoundaryEnforcer = require('../services/BoundaryEnforcer.service');
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const MediaTriageService = require('../services/MediaTriage.service');
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const logger = require('../utils/logger.util');
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/**
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@ -303,6 +304,136 @@ async function deleteInquiry(req, res) {
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}
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}
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/**
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* Run AI triage on inquiry (admin)
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* POST /api/media/inquiries/:id/triage
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*
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* Demonstrates Tractatus dogfooding: AI assists, human decides
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*/
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async function triageInquiry(req, res) {
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try {
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const { id } = req.params;
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const inquiry = await MediaInquiry.findById(id);
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if (!inquiry) {
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return res.status(404).json({
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error: 'Not Found',
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message: 'Media inquiry not found'
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});
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}
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logger.info(`Running AI triage on inquiry ${id}`);
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// Run AI triage (MediaTriage service handles all analysis)
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const triageResult = await MediaTriageService.triageInquiry(inquiry);
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// Update inquiry with triage results
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await MediaInquiry.update(id, {
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'ai_triage.urgency': triageResult.urgency,
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'ai_triage.urgency_score': triageResult.urgency_score,
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'ai_triage.urgency_reasoning': triageResult.urgency_reasoning,
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'ai_triage.topic_sensitivity': triageResult.topic_sensitivity,
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'ai_triage.sensitivity_reasoning': triageResult.sensitivity_reasoning,
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'ai_triage.involves_values': triageResult.involves_values,
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'ai_triage.values_reasoning': triageResult.values_reasoning,
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'ai_triage.boundary_enforcement': triageResult.boundary_enforcement,
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'ai_triage.suggested_response_time': triageResult.suggested_response_time,
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'ai_triage.suggested_talking_points': triageResult.suggested_talking_points,
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'ai_triage.draft_response': triageResult.draft_response,
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'ai_triage.draft_response_reasoning': triageResult.draft_response_reasoning,
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'ai_triage.triaged_at': triageResult.triaged_at,
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'ai_triage.ai_model': triageResult.ai_model,
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status: 'triaged'
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});
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// Log governance action
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await GovernanceLog.create({
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action: 'AI_TRIAGE',
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entity_type: 'media_inquiry',
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entity_id: id,
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actor: req.user.email,
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quadrant: triageResult.involves_values ? 'STRATEGIC' : 'OPERATIONAL',
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tractatus_component: 'BoundaryEnforcer',
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reasoning: triageResult.values_reasoning,
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outcome: 'success',
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metadata: {
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urgency: triageResult.urgency,
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urgency_score: triageResult.urgency_score,
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involves_values: triageResult.involves_values,
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boundary_enforced: triageResult.involves_values,
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human_approval_required: true
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}
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});
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logger.info(`AI triage complete for inquiry ${id}: urgency=${triageResult.urgency}, values=${triageResult.involves_values}`);
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res.json({
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success: true,
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message: 'AI triage completed',
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triage: triageResult,
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governance: {
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human_approval_required: true,
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boundary_enforcer_active: triageResult.involves_values,
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transparency_note: 'All AI reasoning is visible for human review'
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}
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});
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} catch (error) {
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logger.error('Triage inquiry error:', error);
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res.status(500).json({
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error: 'Internal Server Error',
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message: 'AI triage failed',
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details: error.message
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});
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}
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}
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/**
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* Get triage statistics for public transparency
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* GET /api/media/triage-stats
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*/
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async function getTriageStats(req, res) {
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try {
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// Get all triaged inquiries (public stats, no sensitive data)
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const { getCollection } = require('../utils/db.util');
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const collection = await getCollection('media_inquiries');
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const inquiries = await collection.find({
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'ai_triage.triaged_at': { $exists: true }
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}).toArray();
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const stats = await MediaTriageService.getTriageStats(inquiries);
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// Add transparency metrics
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const transparencyMetrics = {
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...stats,
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human_review_rate: '100%', // All inquiries require human review
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ai_auto_response_rate: '0%', // No auto-responses allowed
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boundary_enforcement_active: stats.boundary_enforcements > 0,
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framework_compliance: {
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human_approval_required: true,
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ai_reasoning_transparent: true,
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values_decisions_escalated: true
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}
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};
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res.json({
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success: true,
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period: 'all_time',
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statistics: transparencyMetrics,
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note: 'All media inquiries require human review before response. AI assists with triage only.'
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});
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} catch (error) {
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logger.error('Get triage stats error:', error);
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res.status(500).json({
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error: 'Internal Server Error',
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message: 'Failed to retrieve statistics'
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});
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}
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}
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module.exports = {
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submitInquiry,
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listInquiries,
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@ -310,5 +441,7 @@ module.exports = {
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getInquiry,
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assignInquiry,
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respondToInquiry,
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deleteInquiry
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deleteInquiry,
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triageInquiry,
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getTriageStats
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};
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@ -22,6 +22,11 @@ router.post('/inquiries',
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asyncHandler(mediaController.submitInquiry)
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);
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// GET /api/media/triage-stats - Get triage statistics (public, transparency)
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router.get('/triage-stats',
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asyncHandler(mediaController.getTriageStats)
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);
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/**
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* Admin routes
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*/
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@ -56,6 +61,14 @@ router.post('/inquiries/:id/assign',
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asyncHandler(mediaController.assignInquiry)
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);
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// POST /api/media/inquiries/:id/triage - Run AI triage (admin)
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router.post('/inquiries/:id/triage',
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authenticateToken,
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requireRole('admin', 'moderator'),
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validateObjectId('id'),
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asyncHandler(mediaController.triageInquiry)
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);
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// POST /api/media/inquiries/:id/respond - Mark as responded (admin)
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router.post('/inquiries/:id/respond',
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authenticateToken,
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489
src/services/MediaTriage.service.js
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489
src/services/MediaTriage.service.js
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@ -0,0 +1,489 @@
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/**
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* Media Triage Service
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* AI-powered media inquiry triage with Tractatus governance
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*
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* GOVERNANCE PRINCIPLES:
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* - AI analyzes and suggests, humans decide
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* - All reasoning must be transparent
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* - Values decisions require human approval
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* - No auto-responses without human review
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* - Boundary enforcement for sensitive topics
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*/
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const Anthropic = require('@anthropic-ai/sdk');
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const logger = require('../utils/logger.util');
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class MediaTriageService {
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constructor() {
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// Initialize Anthropic client
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this.client = new Anthropic({
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apiKey: process.env.ANTHROPIC_API_KEY
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});
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// Topic sensitivity keywords (triggers boundary enforcement)
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this.SENSITIVE_TOPICS = [
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'values', 'ethics', 'strategic direction', 'partnerships',
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'te tiriti', 'māori', 'indigenous', 'governance philosophy',
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'framework limitations', 'criticism', 'controversy'
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];
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// Urgency indicators
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this.URGENCY_INDICATORS = {
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high: ['urgent', 'asap', 'immediate', 'breaking', 'deadline today', 'deadline tomorrow'],
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medium: ['deadline this week', 'timely', 'soon'],
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low: ['no deadline', 'general inquiry', 'background']
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};
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}
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/**
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* Perform AI triage on media inquiry
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* Returns structured analysis for human review
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*/
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async triageInquiry(inquiry) {
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try {
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logger.info(`AI triaging inquiry: ${inquiry._id}`);
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// Step 1: Analyze urgency
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const urgencyAnalysis = await this.analyzeUrgency(inquiry);
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// Step 2: Detect topic sensitivity
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const sensitivityAnalysis = await this.analyzeTopicSensitivity(inquiry);
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// Step 3: Check if involves values (BoundaryEnforcer)
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const valuesCheck = this.checkInvolvesValues(inquiry, sensitivityAnalysis);
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// Step 4: Generate suggested talking points
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const talkingPoints = await this.generateTalkingPoints(inquiry, sensitivityAnalysis);
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// Step 5: Draft response (ALWAYS requires human approval)
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const draftResponse = await this.generateDraftResponse(inquiry, talkingPoints, valuesCheck);
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// Step 6: Calculate suggested response time
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const suggestedResponseTime = this.calculateResponseTime(urgencyAnalysis, inquiry);
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// Compile triage result with full transparency
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const triageResult = {
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urgency: urgencyAnalysis.level,
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urgency_score: urgencyAnalysis.score,
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urgency_reasoning: urgencyAnalysis.reasoning,
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topic_sensitivity: sensitivityAnalysis.level,
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sensitivity_reasoning: sensitivityAnalysis.reasoning,
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involves_values: valuesCheck.involves_values,
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values_reasoning: valuesCheck.reasoning,
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boundary_enforcement: valuesCheck.boundary_enforcement,
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suggested_response_time: suggestedResponseTime,
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suggested_talking_points: talkingPoints,
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draft_response: draftResponse.content,
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draft_response_reasoning: draftResponse.reasoning,
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draft_requires_human_approval: true, // ALWAYS
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triaged_at: new Date(),
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ai_model: 'claude-3-5-sonnet-20241022',
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framework_compliance: {
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boundary_enforcer_checked: true,
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human_approval_required: true,
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reasoning_transparent: true
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}
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};
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logger.info(`Triage complete for inquiry ${inquiry._id}: urgency=${urgencyAnalysis.level}, values=${valuesCheck.involves_values}`);
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return triageResult;
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} catch (error) {
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logger.error('Media triage error:', error);
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throw new Error(`Triage failed: ${error.message}`);
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}
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}
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/**
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* Analyze urgency level of inquiry
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*/
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async analyzeUrgency(inquiry) {
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const prompt = `Analyze the urgency of this media inquiry and provide a structured assessment.
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INQUIRY DETAILS:
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Subject: ${inquiry.inquiry.subject}
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Message: ${inquiry.inquiry.message}
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Deadline: ${inquiry.inquiry.deadline || 'Not specified'}
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Outlet: ${inquiry.contact.outlet}
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TASK:
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1. Determine urgency level: HIGH, MEDIUM, or LOW
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2. Provide urgency score (0-100)
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3. Explain your reasoning
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URGENCY GUIDELINES:
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- HIGH (80-100): Breaking news, same-day deadline, crisis response
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- MEDIUM (40-79): This week deadline, feature story, ongoing coverage
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- LOW (0-39): No deadline, background research, general inquiry
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Respond in JSON format:
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{
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"level": "HIGH|MEDIUM|LOW",
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"score": 0-100,
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"reasoning": "2-3 sentence explanation"
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}`;
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try {
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const message = await this.client.messages.create({
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model: 'claude-3-5-sonnet-20241022',
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max_tokens: 500,
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messages: [{
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role: 'user',
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content: prompt
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}]
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});
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const responseText = message.content[0].text;
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const analysis = JSON.parse(responseText);
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return {
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level: analysis.level.toLowerCase(),
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score: analysis.score,
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reasoning: analysis.reasoning
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};
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} catch (error) {
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logger.error('Urgency analysis error:', error);
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// Fallback to basic analysis
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return this.basicUrgencyAnalysis(inquiry);
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}
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}
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/**
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* Analyze topic sensitivity
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*/
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async analyzeTopicSensitivity(inquiry) {
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const prompt = `Analyze the topic sensitivity of this media inquiry for an AI safety framework organization.
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INQUIRY DETAILS:
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Subject: ${inquiry.inquiry.subject}
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Message: ${inquiry.inquiry.message}
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Topics: ${inquiry.inquiry.topic_areas?.join(', ') || 'Not specified'}
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TASK:
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Determine if this inquiry touches on sensitive topics such as:
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- Framework values or ethics
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- Strategic partnerships
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- Indigenous data sovereignty (Te Tiriti o Waitangi)
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- Framework limitations or criticisms
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- Controversial AI safety debates
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Provide sensitivity level: HIGH, MEDIUM, or LOW
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Respond in JSON format:
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{
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"level": "HIGH|MEDIUM|LOW",
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"reasoning": "2-3 sentence explanation of why this topic is sensitive or not"
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}`;
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try {
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const message = await this.client.messages.create({
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model: 'claude-3-5-sonnet-20241022',
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max_tokens: 500,
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messages: [{
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role: 'user',
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content: prompt
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}]
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});
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const responseText = message.content[0].text;
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const analysis = JSON.parse(responseText);
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return {
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level: analysis.level.toLowerCase(),
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reasoning: analysis.reasoning
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};
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} catch (error) {
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logger.error('Sensitivity analysis error:', error);
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// Fallback to keyword-based analysis
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return this.basicSensitivityAnalysis(inquiry);
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}
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}
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/**
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* Check if inquiry involves framework values (BoundaryEnforcer)
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*/
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checkInvolvesValues(inquiry, sensitivityAnalysis) {
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// Keywords that indicate values territory
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const valuesKeywords = [
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'values', 'ethics', 'mission', 'principles', 'philosophy',
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'te tiriti', 'indigenous', 'sovereignty', 'partnership',
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'governance', 'strategy', 'direction', 'why tractatus'
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];
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const combinedText = `${inquiry.inquiry.subject} ${inquiry.inquiry.message}`.toLowerCase();
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const hasValuesKeyword = valuesKeywords.some(keyword => combinedText.includes(keyword));
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const isHighSensitivity = sensitivityAnalysis.level === 'high';
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const involves_values = hasValuesKeyword || isHighSensitivity;
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return {
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involves_values,
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reasoning: involves_values
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? 'This inquiry touches on framework values, strategic direction, or sensitive topics. Human approval required for any response (BoundaryEnforcer).'
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: 'This inquiry is operational/technical in nature. Standard response workflow applies.',
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boundary_enforcement: involves_values
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? 'ENFORCED: Response must be reviewed and approved by John Stroh before sending.'
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: 'NOT_REQUIRED: Standard review process applies.',
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escalation_required: involves_values,
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escalation_reason: involves_values
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? 'Values-sensitive topic detected by BoundaryEnforcer'
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: null
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};
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}
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/**
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* Generate suggested talking points
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*/
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async generateTalkingPoints(inquiry, sensitivityAnalysis) {
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const prompt = `Generate 3-5 concise talking points for responding to this media inquiry about an AI safety framework.
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INQUIRY DETAILS:
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Subject: ${inquiry.inquiry.subject}
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Message: ${inquiry.inquiry.message}
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Sensitivity: ${sensitivityAnalysis.level}
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GUIDELINES:
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- Focus on factual, verifiable information
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- Avoid speculation or aspirational claims
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- Stay within established framework documentation
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- Be honest about limitations
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- NO fabricated statistics
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- NO absolute guarantees
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Respond with JSON array of talking points:
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["Point 1", "Point 2", "Point 3", ...]`;
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try {
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const message = await this.client.messages.create({
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model: 'claude-3-5-sonnet-20241022',
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max_tokens: 800,
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messages: [{
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role: 'user',
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content: prompt
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}]
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});
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const responseText = message.content[0].text;
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const points = JSON.parse(responseText);
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return Array.isArray(points) ? points : [];
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} catch (error) {
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logger.error('Talking points generation error:', error);
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return [
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'Tractatus is a development-stage AI safety framework',
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'Focus on architectural safety guarantees and human oversight',
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'Open source and transparent governance'
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];
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}
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}
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/**
|
||||
* Generate draft response (ALWAYS requires human approval)
|
||||
*/
|
||||
async generateDraftResponse(inquiry, talkingPoints, valuesCheck) {
|
||||
const prompt = `Draft a professional response to this media inquiry. This draft will be reviewed and edited by humans before sending.
|
||||
|
||||
INQUIRY DETAILS:
|
||||
From: ${inquiry.contact.name} (${inquiry.contact.outlet})
|
||||
Subject: ${inquiry.inquiry.subject}
|
||||
Message: ${inquiry.inquiry.message}
|
||||
|
||||
TALKING POINTS TO INCLUDE:
|
||||
${talkingPoints.map((p, i) => `${i + 1}. ${p}`).join('\n')}
|
||||
|
||||
VALUES CHECK:
|
||||
${valuesCheck.involves_values ? '⚠️ This touches on framework values - response requires strategic approval' : 'Standard operational inquiry'}
|
||||
|
||||
GUIDELINES:
|
||||
- Professional and helpful tone
|
||||
- 2-3 paragraphs maximum
|
||||
- Include contact info for follow-up
|
||||
- Offer to provide additional resources
|
||||
- Be honest about framework status (development stage)
|
||||
- NO fabricated statistics or guarantees
|
||||
|
||||
Draft the response:`;
|
||||
|
||||
try {
|
||||
const message = await this.client.messages.create({
|
||||
model: 'claude-3-5-sonnet-20241022',
|
||||
max_tokens: 1000,
|
||||
messages: [{
|
||||
role: 'user',
|
||||
content: prompt
|
||||
}]
|
||||
});
|
||||
|
||||
const draftContent = message.content[0].text;
|
||||
|
||||
return {
|
||||
content: draftContent,
|
||||
reasoning: 'AI-generated draft based on talking points. MUST be reviewed and approved by human before sending.',
|
||||
requires_approval: true,
|
||||
approval_level: valuesCheck.involves_values ? 'STRATEGIC' : 'OPERATIONAL'
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
logger.error('Draft response generation error:', error);
|
||||
return {
|
||||
content: `[DRAFT GENERATION FAILED - Manual response required]\n\nHi ${inquiry.contact.name},\n\nThank you for your inquiry about Tractatus. We'll get back to you shortly with a detailed response.\n\nBest regards,\nTractatus Team`,
|
||||
reasoning: 'Fallback template due to AI generation error',
|
||||
requires_approval: true,
|
||||
approval_level: 'OPERATIONAL'
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate suggested response time in hours
|
||||
*/
|
||||
calculateResponseTime(urgencyAnalysis, inquiry) {
|
||||
if (inquiry.inquiry.deadline) {
|
||||
const deadline = new Date(inquiry.inquiry.deadline);
|
||||
const now = new Date();
|
||||
const hoursUntilDeadline = (deadline - now) / (1000 * 60 * 60);
|
||||
return Math.max(1, Math.floor(hoursUntilDeadline * 0.5)); // Aim for 50% of time to deadline
|
||||
}
|
||||
|
||||
// Based on urgency score
|
||||
if (urgencyAnalysis.level === 'high') {
|
||||
return 4; // 4 hours
|
||||
} else if (urgencyAnalysis.level === 'medium') {
|
||||
return 24; // 1 day
|
||||
} else {
|
||||
return 72; // 3 days
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Basic urgency analysis (fallback)
|
||||
*/
|
||||
basicUrgencyAnalysis(inquiry) {
|
||||
const text = `${inquiry.inquiry.subject} ${inquiry.inquiry.message}`.toLowerCase();
|
||||
let score = 30; // Default low
|
||||
let level = 'low';
|
||||
|
||||
// Check for urgency keywords
|
||||
for (const [urgencyLevel, keywords] of Object.entries(this.URGENCY_INDICATORS)) {
|
||||
for (const keyword of keywords) {
|
||||
if (text.includes(keyword)) {
|
||||
if (urgencyLevel === 'high') {
|
||||
score = 85;
|
||||
level = 'high';
|
||||
} else if (urgencyLevel === 'medium' && score < 60) {
|
||||
score = 60;
|
||||
level = 'medium';
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Check deadline
|
||||
if (inquiry.inquiry.deadline) {
|
||||
const deadline = new Date(inquiry.inquiry.deadline);
|
||||
const now = new Date();
|
||||
const hoursUntilDeadline = (deadline - now) / (1000 * 60 * 60);
|
||||
|
||||
if (hoursUntilDeadline < 24) {
|
||||
score = 90;
|
||||
level = 'high';
|
||||
} else if (hoursUntilDeadline < 72) {
|
||||
score = 65;
|
||||
level = 'medium';
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
level,
|
||||
score,
|
||||
reasoning: `Basic analysis based on keywords and deadline. Urgency level: ${level}.`
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Basic sensitivity analysis (fallback)
|
||||
*/
|
||||
basicSensitivityAnalysis(inquiry) {
|
||||
const text = `${inquiry.inquiry.subject} ${inquiry.inquiry.message}`.toLowerCase();
|
||||
let level = 'low';
|
||||
|
||||
for (const keyword of this.SENSITIVE_TOPICS) {
|
||||
if (text.includes(keyword)) {
|
||||
level = 'high';
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
level,
|
||||
reasoning: level === 'high'
|
||||
? 'Topic involves potentially sensitive framework areas'
|
||||
: 'Standard operational inquiry'
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get triage statistics for transparency
|
||||
*/
|
||||
async getTriageStats(inquiries) {
|
||||
const stats = {
|
||||
total_triaged: inquiries.length,
|
||||
by_urgency: {
|
||||
high: 0,
|
||||
medium: 0,
|
||||
low: 0
|
||||
},
|
||||
by_sensitivity: {
|
||||
high: 0,
|
||||
medium: 0,
|
||||
low: 0
|
||||
},
|
||||
involves_values_count: 0,
|
||||
boundary_enforcements: 0,
|
||||
avg_response_time_hours: 0,
|
||||
human_overrides: 0
|
||||
};
|
||||
|
||||
for (const inquiry of inquiries) {
|
||||
if (inquiry.ai_triage) {
|
||||
// Count by urgency
|
||||
if (inquiry.ai_triage.urgency) {
|
||||
stats.by_urgency[inquiry.ai_triage.urgency]++;
|
||||
}
|
||||
|
||||
// Count by sensitivity
|
||||
if (inquiry.ai_triage.topic_sensitivity) {
|
||||
stats.by_sensitivity[inquiry.ai_triage.topic_sensitivity]++;
|
||||
}
|
||||
|
||||
// Count values involvements
|
||||
if (inquiry.ai_triage.involves_values) {
|
||||
stats.involves_values_count++;
|
||||
stats.boundary_enforcements++;
|
||||
}
|
||||
|
||||
// Average response time
|
||||
if (inquiry.ai_triage.suggested_response_time) {
|
||||
stats.avg_response_time_hours += inquiry.ai_triage.suggested_response_time;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (stats.total_triaged > 0) {
|
||||
stats.avg_response_time_hours = Math.round(stats.avg_response_time_hours / stats.total_triaged);
|
||||
}
|
||||
|
||||
return stats;
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = new MediaTriageService();
|
||||
Loading…
Add table
Reference in a new issue