DeepSeek v4-pro reasoning model rejects tool_choice parameter. All 4 endpoints now use system prompts with JSON schema instructions and parse content as JSON instead of tool_calls. Co-Authored-By: Claude <noreply@anthropic.com>
116 lines
4.7 KiB
TypeScript
116 lines
4.7 KiB
TypeScript
export const dynamic = 'force-dynamic'
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import { NextRequest, NextResponse } from 'next/server'
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import { getSession } from '@/lib/auth/get-session'
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import { withUser, asAdmin } from '@/lib/db/with-user'
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import { writeAuditLog } from '@/lib/db/audit'
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import { incidents, auditLog, sites, zones } from '@/lib/db/schema'
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import { eq, and, gte, sql } from 'drizzle-orm'
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import { createDeepSeekClient } from '@/lib/claude/client'
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import { getApiKey } from '@/lib/settings'
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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 session = await getSession()
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if (!session) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
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if (!['hse', 'admin'].includes(session.role))
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return NextResponse.json({ error: 'Forbidden' }, { status: 403 })
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// Rate limit
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const since = new Date(Date.now() - 60_000)
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const [rateRow] = await asAdmin(db =>
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db.select({ cnt: sql<number>`count(*)` }).from(auditLog)
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.where(and(
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eq(auditLog.changedBy, session.sub),
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eq(auditLog.action, 'ai_rca_draft'),
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gte(auditLog.changedAt, since),
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))
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)
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if (Number(rateRow?.cnt ?? 0) > 0)
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return NextResponse.json({ error: 'Rate limited — please wait 60 seconds' }, { status: 429 })
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const deepseekKey = await getApiKey('DEEPSEEK_API_KEY')
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const client = createDeepSeekClient(deepseekKey)
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const [incident] = await withUser(session.sub, async tx =>
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tx.select({
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incidentType: incidents.incidentType,
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description: incidents.description,
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severity: incidents.severity,
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injuryInvolved: incidents.injuryInvolved,
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medicalStatus: incidents.medicalStatus,
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isFatality: incidents.isFatality,
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isSeriousBodilyInjury: incidents.isSeriousBodilyInjury,
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triageNotes: incidents.triageNotes,
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siteName: sites.name,
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zoneName: zones.name,
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})
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.from(incidents)
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.leftJoin(sites, eq(incidents.siteId, sites.id))
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.leftJoin(zones, eq(incidents.zoneId, zones.id))
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.where(eq(incidents.id, id))
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.limit(1)
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)
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if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })
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let res: Awaited<ReturnType<typeof client.chat.completions.create>>
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try {
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res = await client.chat.completions.create({
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model: 'deepseek-v4-pro',
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max_tokens: 2048,
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messages: [
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{
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role: 'system',
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content: `You are an experienced HSE investigator for a Malaysian 3PL warehouse. Draft a 5-Why root cause analysis for incidents. You must respond with valid JSON only — no markdown, no explanation outside the JSON object.
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Output exactly this JSON structure:
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{
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"five_why_steps": [
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{ "why": "<the why question>", "answer": "<the finding or answer>" }
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],
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"root_cause_summary": "<one-sentence root cause statement>",
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"capa_suggestions": ["<up to 3 corrective/preventive actions>"]
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}
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Provide 3–5 Why steps drilling from immediate cause to root cause. Frame CAPA suggestions appropriate for a Malaysian warehouse context.`,
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},
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{
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role: 'user',
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content: `Draft a 5-Why root cause analysis for this incident. Respond with JSON only.\n\nSite: ${incident.siteName ?? 'Unknown'}\nZone: ${incident.zoneName ?? 'Unknown'}\nIncident type: ${incident.incidentType}\nDescription: ${incident.description}\nSeverity: ${incident.severity ?? 'not yet assigned'}/5\nInjury involved: ${incident.injuryInvolved ? `yes — ${incident.medicalStatus}` : 'no'}\nFatality: ${incident.isFatality ? 'yes' : 'no'}\nSerious bodily injury: ${incident.isSeriousBodilyInjury ? 'yes' : 'no'}\nTriage notes: ${incident.triageNotes ?? 'none'}`,
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},
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],
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})
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} catch {
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return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
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}
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const raw = res.choices[0]?.message?.content
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if (!raw) return NextResponse.json({ error: 'AI returned empty response' }, { status: 500 })
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const json = raw.replace(/^```(?:json)?\s*/i, '').replace(/\s*```$/i, '').trim()
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let draft: { five_why_steps?: unknown; root_cause_summary?: unknown; capa_suggestions?: unknown }
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try { draft = JSON.parse(json) }
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catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
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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 withUser(session.sub, async tx => {
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await writeAuditLog(tx, 'incidents', id, 'ai_rca_draft', {
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root_cause_summary: draft.root_cause_summary as string,
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model: 'deepseek-v4-pro',
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})
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})
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return NextResponse.json(draft)
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}
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