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feat: switch AI provider from Anthropic to DeepSeek

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- lib/claude/client.ts: replace Anthropic SDK with openai package pointed at DeepSeek baseURL
- 4 AI routes: port tool definitions, tool_choice, and output parsing to OpenAI function-calling format
- Drop thinking:{type:'adaptive'} (no DeepSeek equivalent); model string → deepseek-chat
- settings/route.ts: add DEEPSEEK_API_KEY to ALLOWED_KEYS
- migration: seed DEEPSEEK_API_KEY placeholder row in app_settings
- tests: update 3 AI route tests to mock createDeepSeekClient + OpenAI response shape

Voyage AI embedding path untouched (DeepSeek has no embeddings endpoint).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CPf5Rc8QPx6V8KLEEgfKEQ
This commit is contained in:
admin
2026-07-12 21:51:15 +08:00
co-authored by Claude Sonnet 4.6
parent 8fe036bc1a
commit b2891a433d
12 changed files with 262 additions and 183 deletions
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app/api/incidents/[id]/ai/triage-suggest/route.ts
+32 -29
View File
@@ -2,7 +2,7 @@ export const dynamic = 'force-dynamic'
import { NextRequest, NextResponse } from 'next/server'
import { createClient } from '@/lib/supabase/server'
import { createAnthropicClient } from '@/lib/claude/client'
import { createDeepSeekClient } from '@/lib/claude/client'
import { getApiKey } from '@/lib/settings'
export async function POST(
@@ -28,8 +28,8 @@ export async function POST(
if ((recentCount ?? 0) > 0)
return NextResponse.json({ error: 'Rate limited — please wait 60 seconds' }, { status: 429 })
const anthropicKey = await getApiKey(supabase, 'ANTHROPIC_API_KEY')
const anthropic = createAnthropicClient(anthropicKey)
const deepseekKey = await getApiKey(supabase, 'DEEPSEEK_API_KEY')
const client = createDeepSeekClient(deepseekKey)
const { data: incident } = await supabase
.from('incidents')
@@ -46,32 +46,34 @@ export async function POST(
medical_status: string | null
}
let message: Awaited<ReturnType<typeof anthropic.messages.create>>
let res: Awaited<ReturnType<typeof client.chat.completions.create>>
try {
message = await anthropic.messages.create({
model: 'claude-opus-4-8',
thinking: { type: 'adaptive' },
res = await client.chat.completions.create({
model: 'deepseek-chat',
max_tokens: 1024,
tools: [{
name: 'suggest_triage',
description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident',
input_schema: {
type: 'object' as const,
properties: {
severity: { type: 'number', description: '1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality' },
is_fatality: { type: 'boolean' },
is_serious_bodily_injury: { type: 'boolean', description: 'Fracture, amputation, blindness, serious burn, or similar' },
is_dangerous_occurrence: { type: 'boolean', description: 'Structural collapse, explosion, fire, scaffold collapse, etc.' },
is_occupational_disease: { type: 'boolean', description: 'Disease arising from workplace exposure' },
rationale: { type: 'string', description: 'One-sentence rationale citing NADOPOD 2004 where applicable' },
type: 'function',
function: {
name: 'suggest_triage',
description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident',
parameters: {
type: 'object',
properties: {
severity: { type: 'number', description: '1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality' },
is_fatality: { type: 'boolean' },
is_serious_bodily_injury: { type: 'boolean', description: 'Fracture, amputation, blindness, serious burn, or similar' },
is_dangerous_occurrence: { type: 'boolean', description: 'Structural collapse, explosion, fire, scaffold collapse, etc.' },
is_occupational_disease: { type: 'boolean', description: 'Disease arising from workplace exposure' },
rationale: { type: 'string', description: 'One-sentence rationale citing NADOPOD 2004 where applicable' },
},
required: [
'severity', 'is_fatality', 'is_serious_bodily_injury',
'is_dangerous_occurrence', 'is_occupational_disease', 'rationale',
],
},
required: [
'severity', 'is_fatality', 'is_serious_bodily_injury',
'is_dangerous_occurrence', 'is_occupational_disease', 'rationale',
],
},
}],
tool_choice: { type: 'tool', name: 'suggest_triage' },
tool_choice: { type: 'function', function: { name: 'suggest_triage' } },
messages: [{
role: 'user',
content: `You are an HSE triage specialist for a Malaysian 3PL warehouse. Assess this incident under NADOPOD 2004.
@@ -89,11 +91,10 @@ Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one
return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
}
const toolBlock = message.content.find(b => b.type === 'tool_use')
if (!toolBlock || toolBlock.type !== 'tool_use')
return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
const call = res.choices[0]?.message?.tool_calls?.[0]
if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
const input = toolBlock.input as {
let input: {
severity?: unknown
is_fatality?: unknown
is_serious_bodily_injury?: unknown
@@ -101,6 +102,8 @@ Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one
is_occupational_disease?: unknown
rationale?: unknown
}
try { input = JSON.parse(call.function.arguments) }
catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
if (
typeof input.severity !== 'number' ||
@@ -117,8 +120,8 @@ Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one
p_table_name: 'incidents',
p_record_id: id,
p_action: 'ai_triage_suggest',
p_new_value: { suggestion: toolBlock.input, model: 'claude-opus-4-8' } as never,
p_new_value: { suggestion: input, model: 'deepseek-chat' } as never,
})
return NextResponse.json(toolBlock.input)
return NextResponse.json(input)
}