adminandClaude Sonnet 4.6
c07bdb77ad
- Add new migration 20260711000013_match_incidents_auth_guard.sql that replaces match_incidents with an inline auth guard: callers without hse/admin role receive PGRST301 Forbidden, closing the SECURITY DEFINER RLS bypass. - Wrap anthropic.messages.create() in try/catch returning 503 in all four AI routes: quality-check, triage-suggest, rca-draft, similar. - Wrap JSON.parse(inc.embedding) and embedText() in similar/route.ts in a shared try/catch returning 503 Embedding service unavailable. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FFDuBhMKvoWjrWT3ZnGmmr
82 lines
3.0 KiB
TypeScript
82 lines
3.0 KiB
TypeScript
export const dynamic = 'force-dynamic'
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import { NextRequest, NextResponse } from 'next/server'
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import { createClient } from '@/lib/supabase/server'
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import { anthropic } from '@/lib/claude/client'
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export async function POST(request: NextRequest) {
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const supabase = await createClient()
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const { data: { user }, error: authError } = await supabase.auth.getUser()
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if (authError || !user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
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let body: { description?: string; incident_type?: string }
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try {
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body = await request.json()
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} catch {
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return NextResponse.json({ error: 'Invalid JSON body' }, { status: 400 })
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}
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if (!body.description || !body.incident_type) {
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return NextResponse.json({ error: 'description and incident_type required' }, { status: 422 })
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}
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let message: Awaited<ReturnType<typeof anthropic.messages.create>>
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try {
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message = await anthropic.messages.create({
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model: 'claude-opus-4-8',
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thinking: { type: 'adaptive' },
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max_tokens: 1024,
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tools: [{
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name: 'assess_quality',
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description: 'Assess HSE incident report description quality',
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input_schema: {
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type: 'object' as const,
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properties: {
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score: { type: 'number', description: '1-10 quality score' },
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passes: { type: 'boolean', description: 'True when score is 6 or above' },
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feedback: { type: 'string', description: 'One-sentence quality summary' },
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suggestions: {
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type: 'array',
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items: { type: 'string' },
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description: 'Up to 3 concrete suggestions to improve the description',
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},
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},
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required: ['score', 'passes', 'feedback', 'suggestions'],
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},
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}],
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tool_choice: { type: 'tool', name: 'assess_quality' },
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messages: [{
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role: 'user',
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content: `You are an HSE reporting assistant for a Malaysian 3PL warehouse. Assess this incident report description.
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Incident type: ${body.incident_type}
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Description: ${body.description}
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Score 1–10 based on: specificity (location, time, persons involved), completeness (what happened + immediate actions), and clarity. Score 6 or above passes. If score is below 6, give up to 3 actionable suggestions.`,
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}],
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})
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} catch {
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return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
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}
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const toolBlock = message.content.find(b => b.type === 'tool_use')
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if (!toolBlock || toolBlock.type !== 'tool_use') {
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return NextResponse.json({ error: 'AI assessment failed' }, { status: 500 })
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}
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const input = toolBlock.input as {
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score?: unknown
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passes?: unknown
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feedback?: unknown
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suggestions?: unknown
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}
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if (
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typeof input.score !== 'number' ||
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typeof input.passes !== 'boolean' ||
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typeof input.feedback !== 'string' ||
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!Array.isArray(input.suggestions)
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) {
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return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 })
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}
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return NextResponse.json(input)
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}
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