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>
113 lines
4.5 KiB
TypeScript
113 lines
4.5 KiB
TypeScript
export const dynamic = 'force-dynamic'
|
|
|
|
import { NextRequest, NextResponse } from 'next/server'
|
|
import { getSession } from '@/lib/auth/get-session'
|
|
import { withUser, asAdmin } from '@/lib/db/with-user'
|
|
import { writeAuditLog } from '@/lib/db/audit'
|
|
import { incidents, auditLog } from '@/lib/db/schema'
|
|
import { eq, and, gte, sql } from 'drizzle-orm'
|
|
import { createDeepSeekClient } from '@/lib/claude/client'
|
|
import { getApiKey } from '@/lib/settings'
|
|
|
|
export async function POST(
|
|
_request: NextRequest,
|
|
{ params }: { params: Promise<{ id: string }> }
|
|
) {
|
|
const { id } = await params
|
|
const session = await getSession()
|
|
if (!session) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
|
|
if (!['hse', 'admin'].includes(session.role))
|
|
return NextResponse.json({ error: 'Forbidden' }, { status: 403 })
|
|
|
|
// Rate limit
|
|
const since = new Date(Date.now() - 60_000)
|
|
const [rateRow] = await asAdmin(db =>
|
|
db.select({ cnt: sql<number>`count(*)` }).from(auditLog)
|
|
.where(and(
|
|
eq(auditLog.changedBy, session.sub),
|
|
eq(auditLog.action, 'ai_triage_suggest'),
|
|
gte(auditLog.changedAt, since),
|
|
))
|
|
)
|
|
if (Number(rateRow?.cnt ?? 0) > 0)
|
|
return NextResponse.json({ error: 'Rate limited — please wait 60 seconds' }, { status: 429 })
|
|
|
|
const deepseekKey = await getApiKey('DEEPSEEK_API_KEY')
|
|
const client = createDeepSeekClient(deepseekKey)
|
|
|
|
const [incident] = await withUser(session.sub, async tx =>
|
|
tx.select({
|
|
incidentType: incidents.incidentType,
|
|
description: incidents.description,
|
|
injuryInvolved: incidents.injuryInvolved,
|
|
assetInvolved: incidents.assetInvolved,
|
|
medicalStatus: incidents.medicalStatus,
|
|
})
|
|
.from(incidents).where(eq(incidents.id, id)).limit(1)
|
|
)
|
|
if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })
|
|
|
|
let res: Awaited<ReturnType<typeof client.chat.completions.create>>
|
|
try {
|
|
res = await client.chat.completions.create({
|
|
model: 'deepseek-v4-pro',
|
|
max_tokens: 1024,
|
|
messages: [
|
|
{
|
|
role: 'system',
|
|
content: `You are an HSE triage specialist for a Malaysian 3PL warehouse. Assess incidents under NADOPOD 2004. You must respond with valid JSON only — no markdown, no explanation outside the JSON object.
|
|
|
|
Output exactly this JSON structure:
|
|
{
|
|
"severity": <number 1-5, where 1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality>,
|
|
"is_fatality": <boolean>,
|
|
"is_serious_bodily_injury": <boolean, true for fracture, amputation, blindness, serious burn, or similar>,
|
|
"is_dangerous_occurrence": <boolean, true for structural collapse, explosion, fire, scaffold collapse, etc.>,
|
|
"is_occupational_disease": <boolean, true for disease arising from workplace exposure>,
|
|
"rationale": "<one-sentence rationale citing NADOPOD 2004 where applicable>"
|
|
}`,
|
|
},
|
|
{
|
|
role: 'user',
|
|
content: `Assess this incident under NADOPOD 2004. Respond with JSON only.\n\nIncident type: ${incident.incidentType}\nDescription: ${incident.description}\nInjury involved: ${incident.injuryInvolved ? 'yes' : 'no'}\nMedical status: ${incident.medicalStatus ?? 'N/A'}\nAsset/equipment involved: ${incident.assetInvolved ? 'yes' : 'no'}`,
|
|
},
|
|
],
|
|
})
|
|
} catch {
|
|
return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
|
|
}
|
|
|
|
const raw = res.choices[0]?.message?.content
|
|
if (!raw) return NextResponse.json({ error: 'AI returned empty response' }, { status: 500 })
|
|
|
|
const json = raw.replace(/^```(?:json)?\s*/i, '').replace(/\s*```$/i, '').trim()
|
|
|
|
let input: {
|
|
severity?: unknown
|
|
is_fatality?: unknown
|
|
is_serious_bodily_injury?: unknown
|
|
is_dangerous_occurrence?: unknown
|
|
is_occupational_disease?: unknown
|
|
rationale?: unknown
|
|
}
|
|
try { input = JSON.parse(json) }
|
|
catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
|
|
|
|
if (
|
|
typeof input.severity !== 'number' ||
|
|
typeof input.is_fatality !== 'boolean' ||
|
|
typeof input.is_serious_bodily_injury !== 'boolean' ||
|
|
typeof input.is_dangerous_occurrence !== 'boolean' ||
|
|
typeof input.is_occupational_disease !== 'boolean' ||
|
|
typeof input.rationale !== 'string'
|
|
) {
|
|
return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 })
|
|
}
|
|
|
|
await withUser(session.sub, async tx => {
|
|
await writeAuditLog(tx, 'incidents', id, 'ai_triage_suggest', { suggestion: input, model: 'deepseek-v4-pro' })
|
|
})
|
|
|
|
return NextResponse.json(input)
|
|
}
|