feat: AI RCA draft assistant in investigation form
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FFDuBhMKvoWjrWT3ZnGmmr
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@@ -0,0 +1,127 @@
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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(
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_request: NextRequest,
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{ params }: { params: Promise<{ id: string }> }
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) {
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const { id } = await params
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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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const { data: profile } = await supabase.from('users').select('role').eq('id', user.id).single()
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if (!profile || !['hse', 'admin'].includes(profile.role))
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return NextResponse.json({ error: 'Forbidden' }, { status: 403 })
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const { data: incident } = await supabase
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.from('incidents')
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.select(`
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id, incident_type, description, severity, injury_involved, medical_status,
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is_fatality, is_serious_bodily_injury, triage_notes,
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sites (name), zones (name)
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`)
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.eq('id', id)
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.single()
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if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })
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const inc = incident as {
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incident_type: string
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description: string
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severity: number | null
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injury_involved: boolean
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medical_status: string | null
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is_fatality: boolean
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is_serious_bodily_injury: boolean
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triage_notes: string | null
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}
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const siteName = (incident.sites as unknown as { name: string } | null)?.name ?? 'Unknown'
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const zoneName = (incident.zones as unknown as { name: string } | null)?.name ?? 'Unknown'
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const 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: 2048,
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tools: [{
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name: 'draft_rca',
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description: 'Draft a 5-Why root cause analysis and CAPA suggestions for an HSE incident',
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input_schema: {
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type: 'object' as const,
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properties: {
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five_why_steps: {
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type: 'array',
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items: {
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type: 'object',
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properties: {
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why: { type: 'string', description: 'The why question' },
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answer: { type: 'string', description: 'The finding or answer' },
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},
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required: ['why', 'answer'],
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},
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description: '3 to 5 why steps',
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},
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root_cause_summary: {
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type: 'string',
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description: 'One-sentence root cause statement',
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},
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capa_suggestions: {
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type: 'array',
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items: { type: 'string' },
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description: 'Up to 3 corrective/preventive action suggestions',
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},
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},
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required: ['five_why_steps', 'root_cause_summary', 'capa_suggestions'],
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},
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}],
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tool_choice: { type: 'tool', name: 'draft_rca' },
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messages: [{
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role: 'user',
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content: `You are an experienced HSE investigator for a Malaysian 3PL warehouse. Draft a 5-Why root cause analysis for this incident.
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Site: ${siteName}
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Zone: ${zoneName}
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Incident type: ${inc.incident_type}
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Description: ${inc.description}
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Severity: ${inc.severity ?? 'not yet assigned'}/5
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Injury involved: ${inc.injury_involved ? `yes — ${inc.medical_status}` : 'no'}
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Fatality: ${inc.is_fatality ? 'yes' : 'no'}
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Serious bodily injury: ${inc.is_serious_bodily_injury ? 'yes' : 'no'}
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Triage notes: ${inc.triage_notes ?? 'none'}
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Provide 3–5 Why steps drilling from immediate cause to root cause. Give a one-sentence root cause statement. Suggest 3 corrective/preventive actions appropriate for a Malaysian warehouse context.`,
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}],
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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 draft failed' }, { status: 500 })
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const draft = toolBlock.input as {
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five_why_steps?: unknown
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root_cause_summary?: unknown
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capa_suggestions?: unknown
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}
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if (
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!Array.isArray(draft.five_why_steps) ||
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typeof draft.root_cause_summary !== 'string' ||
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!Array.isArray(draft.capa_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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await supabase.rpc('write_audit_log', {
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p_table_name: 'incidents',
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p_record_id: id,
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p_action: 'ai_rca_draft',
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p_new_value: {
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root_cause_summary: draft.root_cause_summary,
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model: 'claude-opus-4-8',
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} as never,
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})
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return NextResponse.json(draft)
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}
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@@ -40,6 +40,7 @@ export function InvestigationForm({ incidentId, existingInvestigationId }: Props
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const [complete, setComplete] = useState(false)
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const [saving, setSaving] = useState(false)
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const [error, setError] = useState<string | null>(null)
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const [aiDraftLoading, setAiDraftLoading] = useState(false)
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function addWhyStep() {
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if (fiveWhy.length >= 5) return
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@@ -57,6 +58,31 @@ export function InvestigationForm({ incidentId, existingInvestigationId }: Props
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setFishbone(fishbone.map((c, i) => i === catIdx ? { ...c, causes: [...c.causes, ''] } : c))
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}
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async function getAiDraft() {
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setAiDraftLoading(true)
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try {
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const res = await fetch(`/api/incidents/${incidentId}/ai/rca-draft`, { method: 'POST' })
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if (!res.ok) return
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const draft = await res.json() as {
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five_why_steps: Array<{ why: string; answer: string }>
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root_cause_summary: string
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capa_suggestions: string[]
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}
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if (draft.five_why_steps?.length > 0) {
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setMethod('five_why')
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setFiveWhy(draft.five_why_steps)
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}
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if (draft.root_cause_summary) setRootCause(draft.root_cause_summary)
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if (draft.capa_suggestions?.length > 0) {
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setFindingsText(draft.capa_suggestions.map((s, i) => `${i + 1}. ${s}`).join('\n'))
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}
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} catch {
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// Non-blocking — investigator can fill manually
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} finally {
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setAiDraftLoading(false)
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}
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}
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async function handleSubmit(e: React.FormEvent) {
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e.preventDefault()
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setSaving(true)
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@@ -99,6 +125,16 @@ export function InvestigationForm({ incidentId, existingInvestigationId }: Props
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return (
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<form onSubmit={handleSubmit} className="space-y-6">
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<div className="flex justify-end">
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<button
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type="button"
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onClick={getAiDraft}
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disabled={aiDraftLoading}
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className="bg-purple-50 text-purple-700 border border-purple-300 rounded-lg px-3 py-1.5 text-xs font-semibold disabled:opacity-50 hover:bg-purple-100"
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>
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{aiDraftLoading ? 'Drafting…' : 'Get AI Draft'}
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</button>
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</div>
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<div>
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<label className="block text-sm font-medium text-gray-700 mb-1">RCA Method</label>
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<div className="flex gap-3">
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