feat: switch AI provider from Anthropic to DeepSeek

- 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

app/api/dashboard/ai/risk-flags/route.ts

@@ -2,7 +2,7 @@ export const dynamic = 'force-dynamic'
 
 import { 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'
 
 type ZoneAggregate = {
@@ -92,20 +92,21 @@ export async function POST() {
     return NextResponse.json({ error: 'Rate limit: wait 60 seconds between AI requests' }, { status: 429 })
   }
 
-  const anthropicKey = await getApiKey(supabase, 'ANTHROPIC_API_KEY')
+  const deepseekKey = await getApiKey(supabase, 'DEEPSEEK_API_KEY')
-  const anthropic = createAnthropicClient(anthropicKey)
+  const client = createDeepSeekClient(deepseekKey)
 
-  let message: Awaited<ReturnType<typeof anthropic.messages.create>>
+  let res: Awaited<ReturnType<typeof client.chat.completions.create>>
   try {
-    message = await anthropic.messages.create({
+    res = await client.chat.completions.create({
-      model: 'claude-opus-4-8',
+      model: 'deepseek-chat',
-      thinking: { type: 'adaptive' },
       max_tokens: 2048,
       tools: [{
+        type: 'function',
+        function: {
           name: 'flag_rising_risk',
           description: 'Flag warehouse zones showing rising safety risk from 90-day incident aggregates',
-        input_schema: {
+          parameters: {
-          type: 'object' as const,
+            type: 'object',
             properties: {
               flags: {
                 type: 'array',
@@ -125,8 +126,9 @@ export async function POST() {
             },
             required: ['flags', 'summary'],
           },
+        },
       }],
-      tool_choice: { type: 'tool', name: 'flag_rising_risk' },
+      tool_choice: { type: 'function', function: { name: 'flag_rising_risk' } },
       messages: [{
         role: 'user',
         content: `You are an HSE risk analyst for a Malaysian 3PL warehouse operator. Below are 90-day incident aggregates per zone. "first_half" is incidents in days 90-46, "second_half" is days 45-0 — a rising second_half means worsening trend. Near-miss and hazard reports are leading indicators; injuries are lagging.
@@ -142,11 +144,13 @@ ${JSON.stringify(aggregates, null, 2)}
     return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
   }
 
-  const toolBlock = message.content.find(b => b.type === 'tool_use')
+  const call = res.choices[0]?.message?.tool_calls?.[0]
-  if (!toolBlock || toolBlock.type !== 'tool_use')
+  if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
-    return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
+
+  let input: { flags?: unknown; summary?: unknown }
+  try { input = JSON.parse(call.function.arguments) }
+  catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
 
-  const input = toolBlock.input as { flags?: unknown; summary?: unknown }
   if (!Array.isArray(input.flags) || typeof input.summary !== 'string')
     return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 })
 
@@ -164,7 +168,7 @@ ${JSON.stringify(aggregates, null, 2)}
     p_table_name: 'incidents',
     p_record_id: user.id,
     p_action: 'ai_risk_flags',
-    p_new_value: { flags, summary: input.summary, model: 'claude-opus-4-8' } as never,
+    p_new_value: { flags, summary: input.summary, model: 'deepseek-chat' } as never,
   })
 
   return NextResponse.json({ flags, summary: input.summary })

app/api/incidents/[id]/ai/rca-draft/route.ts

@@ -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 deepseekKey = await getApiKey(supabase, 'DEEPSEEK_API_KEY')
-  const anthropic = createAnthropicClient(anthropicKey)
+  const client = createDeepSeekClient(deepseekKey)
 
   const { data: incident } = await supabase
     .from('incidents')
@@ -55,17 +55,18 @@ export async function POST(
   const siteName = (incident.sites as unknown as { name: string } | null)?.name ?? 'Unknown'
   const zoneName = (incident.zones as unknown as { name: string } | null)?.name ?? 'Unknown'
 
-  let message: Awaited<ReturnType<typeof anthropic.messages.create>>
+  let res: Awaited<ReturnType<typeof client.chat.completions.create>>
   try {
-    message = await anthropic.messages.create({
+    res = await client.chat.completions.create({
-      model: 'claude-opus-4-8',
+      model: 'deepseek-chat',
-      thinking: { type: 'adaptive' },
       max_tokens: 2048,
       tools: [{
+        type: 'function',
+        function: {
           name: 'draft_rca',
           description: 'Draft a 5-Why root cause analysis and CAPA suggestions for an HSE incident',
-        input_schema: {
+          parameters: {
-          type: 'object' as const,
+            type: 'object',
             properties: {
               five_why_steps: {
                 type: 'array',
@@ -91,8 +92,9 @@ export async function POST(
             },
             required: ['five_why_steps', 'root_cause_summary', 'capa_suggestions'],
           },
+        },
       }],
-      tool_choice: { type: 'tool', name: 'draft_rca' },
+      tool_choice: { type: 'function', function: { name: 'draft_rca' } },
       messages: [{
         role: 'user',
         content: `You are an experienced HSE investigator for a Malaysian 3PL warehouse. Draft a 5-Why root cause analysis for this incident.
@@ -114,15 +116,12 @@ Provide 3–5 Why steps drilling from immediate cause to root cause. Give a one-
     return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
   }
 
-  const toolBlock = message.content.find(b => b.type === 'tool_use')
+  const call = res.choices[0]?.message?.tool_calls?.[0]
-  if (!toolBlock || toolBlock.type !== 'tool_use')
+  if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI draft failed' }, { status: 500 })
-    return NextResponse.json({ error: 'AI draft failed' }, { status: 500 })
 
-  const draft = toolBlock.input as {
+  let draft: { five_why_steps?: unknown; root_cause_summary?: unknown; capa_suggestions?: unknown }
-    five_why_steps?: unknown
+  try { draft = JSON.parse(call.function.arguments) }
-    root_cause_summary?: unknown
+  catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
-    capa_suggestions?: unknown
-  }
 
   if (
     !Array.isArray(draft.five_why_steps) ||
@@ -138,7 +137,7 @@ Provide 3–5 Why steps drilling from immediate cause to root cause. Give a one-
     p_action: 'ai_rca_draft',
     p_new_value: {
       root_cause_summary: draft.root_cause_summary,
-      model: 'claude-opus-4-8',
+      model: 'deepseek-chat',
     } as never,
   })
 

app/api/incidents/[id]/ai/triage-suggest/route.ts

@@ -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 deepseekKey = await getApiKey(supabase, 'DEEPSEEK_API_KEY')
-  const anthropic = createAnthropicClient(anthropicKey)
+  const client = createDeepSeekClient(deepseekKey)
 
   const { data: incident } = await supabase
     .from('incidents')
@@ -46,17 +46,18 @@ 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({
+    res = await client.chat.completions.create({
-      model: 'claude-opus-4-8',
+      model: 'deepseek-chat',
-      thinking: { type: 'adaptive' },
       max_tokens: 1024,
       tools: [{
+        type: 'function',
+        function: {
           name: 'suggest_triage',
           description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident',
-        input_schema: {
+          parameters: {
-          type: 'object' as const,
+            type: 'object',
             properties: {
               severity: { type: 'number', description: '1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality' },
               is_fatality: { type: 'boolean' },
@@ -70,8 +71,9 @@ export async function POST(
               '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')
+  const call = res.choices[0]?.message?.tool_calls?.[0]
-  if (!toolBlock || toolBlock.type !== 'tool_use')
+  if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
-    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)
 }

app/api/incidents/ai/quality-check/route.ts

@@ -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(request: NextRequest) {
@@ -20,8 +20,8 @@ export async function POST(request: NextRequest) {
   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 deepseekKey = await getApiKey(supabase, 'DEEPSEEK_API_KEY')
-  const anthropic = createAnthropicClient(anthropicKey)
+  const client = createDeepSeekClient(deepseekKey)
 
   let body: { description?: string; incident_type?: string }
   try {
@@ -33,17 +33,18 @@ export async function POST(request: NextRequest) {
     return NextResponse.json({ error: 'description and incident_type required' }, { status: 422 })
   }
 
-  let message: Awaited<ReturnType<typeof anthropic.messages.create>>
+  let res: Awaited<ReturnType<typeof client.chat.completions.create>>
   try {
-    message = await anthropic.messages.create({
+    res = await client.chat.completions.create({
-      model: 'claude-opus-4-8',
+      model: 'deepseek-chat',
-      thinking: { type: 'adaptive' },
       max_tokens: 1024,
       tools: [{
+        type: 'function',
+        function: {
           name: 'assess_quality',
           description: 'Assess HSE incident report description quality',
-        input_schema: {
+          parameters: {
-          type: 'object' as const,
+            type: 'object',
             properties: {
               score: { type: 'number', description: '1-10 quality score' },
               passes: { type: 'boolean', description: 'True when score is 6 or above' },
@@ -56,8 +57,9 @@ export async function POST(request: NextRequest) {
             },
             required: ['score', 'passes', 'feedback', 'suggestions'],
           },
+        },
       }],
-      tool_choice: { type: 'tool', name: 'assess_quality' },
+      tool_choice: { type: 'function', function: { name: 'assess_quality' } },
       messages: [{
         role: 'user',
         content: `You are an HSE reporting assistant for a Malaysian 3PL warehouse. Assess this incident report description.
@@ -72,17 +74,13 @@ Score 1–10 based on: specificity (location, time, persons involved), completen
     return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 })
   }
 
-  const toolBlock = message.content.find(b => b.type === 'tool_use')
+  const call = res.choices[0]?.message?.tool_calls?.[0]
-  if (!toolBlock || toolBlock.type !== 'tool_use') {
+  if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI assessment failed' }, { status: 500 })
-    return NextResponse.json({ error: 'AI assessment failed' }, { status: 500 })
+
-  }
+  let input: { score?: unknown; passes?: unknown; feedback?: unknown; suggestions?: unknown }
+  try { input = JSON.parse(call.function.arguments) }
+  catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) }
 
-  const input = toolBlock.input as {
-    score?: unknown
-    passes?: unknown
-    feedback?: unknown
-    suggestions?: unknown
-  }
   if (
     typeof input.score !== 'number' ||
     typeof input.passes !== 'boolean' ||
@@ -96,7 +94,7 @@ Score 1–10 based on: specificity (location, time, persons involved), completen
     p_table_name: 'incidents',
     p_record_id: user.id,
     p_action: 'ai_quality_check',
-    p_new_value: { score: input.score, passes: input.passes, model: 'claude-opus-4-8' } as never,
+    p_new_value: { score: input.score, passes: input.passes, model: 'deepseek-chat' } as never,
   })
 
   return NextResponse.json(input)

app/api/settings/route.ts

@@ -5,6 +5,7 @@ import { createClient } from '@/lib/supabase/server'
 
 const ALLOWED_KEYS = [
   'ANTHROPIC_API_KEY',
+  'DEEPSEEK_API_KEY',
   'VOYAGE_API_KEY',
   'META_WHATSAPP_PHONE_NUMBER_ID',
   'META_WHATSAPP_ACCESS_TOKEN',

lib/claude/client.ts

@@ -1,5 +1,5 @@
-import Anthropic from '@anthropic-ai/sdk'
+import OpenAI from 'openai'
 
-export function createAnthropicClient(apiKey: string): Anthropic {
+export function createDeepSeekClient(apiKey: string): OpenAI {
-  return new Anthropic({ apiKey })
+  return new OpenAI({ apiKey, baseURL: 'https://api.deepseek.com' })
 }

package-lock.json

@@ -13,6 +13,7 @@
         "@supabase/supabase-js": "^2.110.2",
         "idb": "^8.0.3",
         "next": "^15.5.20",
+        "openai": "^6.46.0",
         "pdf-lib": "^1.17.1",
         "react": "^19.2.7",
         "react-dom": "^19.2.7",
@@ -7287,6 +7288,36 @@
         "node": ">=12.20.0"
       }
     },
+    "node_modules/openai": {
+      "version": "6.46.0",
+      "resolved": "https://registry.npmjs.org/openai/-/openai-6.46.0.tgz",
+      "integrity": "sha512-DFg6jEPT2RO+oAyXtddeUJU8zkGy1OQ1AjGzNIJUMQG03TTqvCpy9tBpQ+2VVVnvrl3E56F8GEin2JYtWpITtA==",
+      "license": "Apache-2.0",
+      "peerDependencies": {
+        "@aws-sdk/credential-provider-node": ">=3.972.0 <4",
+        "@smithy/hash-node": ">=4.3.0 <5",
+        "@smithy/signature-v4": ">=5.4.0 <6",
+        "ws": "^8.18.0",
+        "zod": "^3.25 || ^4.0"
+      },
+      "peerDependenciesMeta": {
+        "@aws-sdk/credential-provider-node": {
+          "optional": true
+        },
+        "@smithy/hash-node": {
+          "optional": true
+        },
+        "@smithy/signature-v4": {
+          "optional": true
+        },
+        "ws": {
+          "optional": true
+        },
+        "zod": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/optionator": {
       "version": "0.9.4",
       "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",

package.json

@@ -17,6 +17,7 @@
     "@supabase/supabase-js": "^2.110.2",
     "idb": "^8.0.3",
     "next": "^15.5.20",
+    "openai": "^6.46.0",
     "pdf-lib": "^1.17.1",
     "react": "^19.2.7",
     "react-dom": "^19.2.7",

supabase/migrations/20260712000020_deepseek_api_key.sql

@@ -0,0 +1,4 @@
+-- Add DEEPSEEK_API_KEY placeholder to app_settings
+insert into app_settings (key, value) values
+  ('DEEPSEEK_API_KEY', '')
+on conflict (key) do nothing;

tests/api/incidents/quality-check.test.ts

@@ -1,24 +1,40 @@
 import { describe, it, expect, vi } from 'vitest'
 
+const qualityOutput = { score: 8, passes: true, feedback: 'Clear description.', suggestions: [] }
+
 vi.mock('@/lib/supabase/server', () => ({
   createClient: vi.fn().mockResolvedValue({
     auth: {
       getUser: vi.fn().mockResolvedValue({ data: { user: { id: 'user-1' } }, error: null }),
     },
+    from: vi.fn().mockReturnValue({
+      select: vi.fn().mockReturnThis(),
+      eq: vi.fn().mockReturnThis(),
+      gte: vi.fn().mockResolvedValue({ count: 0 }),
+    }),
+    rpc: vi.fn().mockResolvedValue({ error: null }),
   }),
 }))
 
 vi.mock('@/lib/claude/client', () => ({
-  createAnthropicClient: vi.fn().mockReturnValue({
+  createDeepSeekClient: vi.fn().mockReturnValue({
-    messages: {
+    chat: {
+      completions: {
         create: vi.fn().mockResolvedValue({
-        content: [{
+          choices: [{
-          type: 'tool_use',
+            message: {
+              tool_calls: [{
+                type: 'function',
+                function: {
                   name: 'assess_quality',
-          input: { score: 8, passes: true, feedback: 'Clear description.', suggestions: [] },
+                  arguments: JSON.stringify(qualityOutput),
+                },
+              }],
+            },
           }],
         }),
       },
+    },
   }),
 }))
 
@@ -38,7 +54,7 @@ describe('POST /api/incidents/ai/quality-check', () => {
     expect(res.status).toBe(422)
   })
 
-  it('returns quality assessment from Claude', async () => {
+  it('returns quality assessment from DeepSeek', async () => {
     const { POST } = await import('@/app/api/incidents/ai/quality-check/route')
     const req = new Request('http://localhost/api/incidents/ai/quality-check', {
       method: 'POST',

tests/api/incidents/rca-draft.test.ts

@@ -14,30 +14,7 @@ const mockIncident = {
   zones: { name: 'Zone B' },
 }
 
-vi.mock('@/lib/supabase/server', () => ({
+const rcaOutput = {
-  createClient: vi.fn().mockResolvedValue({
-    auth: {
-      getUser: vi.fn().mockResolvedValue({ data: { user: { id: 'user-1' } }, error: null }),
-    },
-    from: vi.fn().mockReturnValue({
-      select: vi.fn().mockReturnThis(),
-      eq: vi.fn().mockReturnThis(),
-      single: vi.fn()
-        .mockResolvedValueOnce({ data: { role: 'hse' } })  // profile
-        .mockResolvedValueOnce({ data: mockIncident }),      // incident
-    }),
-    rpc: vi.fn().mockResolvedValue({ error: null }),
-  }),
-}))
-
-vi.mock('@/lib/claude/client', () => ({
-  createAnthropicClient: vi.fn().mockReturnValue({
-    messages: {
-      create: vi.fn().mockResolvedValue({
-        content: [{
-          type: 'tool_use',
-          name: 'draft_rca',
-          input: {
   five_why_steps: [
     { why: 'Why did the incident happen?', answer: 'Forklift entered zone B without checking for pedestrians.' },
     { why: 'Why was there no check?', answer: 'No pedestrian exclusion zone marked at zone B entrance.' },
@@ -49,10 +26,44 @@ vi.mock('@/lib/claude/client', () => ({
     'Update site hazard assessment to include forklift routes in all zones.',
     'Conduct forklift safety refresher for all operators within 30 days.',
   ],
+}
+
+vi.mock('@/lib/supabase/server', () => ({
+  createClient: vi.fn().mockResolvedValue({
+    auth: {
+      getUser: vi.fn().mockResolvedValue({ data: { user: { id: 'user-1' } }, error: null }),
+    },
+    from: vi.fn().mockReturnValue({
+      select: vi.fn().mockReturnThis(),
+      eq: vi.fn().mockReturnThis(),
+      gte: vi.fn().mockResolvedValue({ count: 0 }),
+      single: vi.fn()
+        .mockResolvedValueOnce({ data: { role: 'hse' } })  // profile
+        .mockResolvedValueOnce({ data: mockIncident }),      // incident
+    }),
+    rpc: vi.fn().mockResolvedValue({ error: null }),
+  }),
+}))
+
+vi.mock('@/lib/claude/client', () => ({
+  createDeepSeekClient: vi.fn().mockReturnValue({
+    chat: {
+      completions: {
+        create: vi.fn().mockResolvedValue({
+          choices: [{
+            message: {
+              tool_calls: [{
+                type: 'function',
+                function: {
+                  name: 'draft_rca',
+                  arguments: JSON.stringify(rcaOutput),
+                },
+              }],
             },
           }],
         }),
       },
+    },
   }),
 }))
 

tests/api/incidents/triage-suggest.test.ts

@@ -9,6 +9,15 @@ const mockIncident = {
   medical_status: 'medical_treatment',
 }
 
+const triageOutput = {
+  severity: 3,
+  is_fatality: false,
+  is_serious_bodily_injury: true,
+  is_dangerous_occurrence: false,
+  is_occupational_disease: false,
+  rationale: 'Fracture constitutes serious bodily injury under NADOPOD 2004.',
+}
+
 vi.mock('@/lib/supabase/server', () => ({
   createClient: vi.fn().mockResolvedValue({
     auth: {
@@ -17,6 +26,7 @@ vi.mock('@/lib/supabase/server', () => ({
     from: vi.fn().mockReturnValue({
       select: vi.fn().mockReturnThis(),
       eq: vi.fn().mockReturnThis(),
+      gte: vi.fn().mockResolvedValue({ count: 0 }),
       single: vi.fn()
         .mockResolvedValueOnce({ data: { role: 'hse' } }) // profile
         .mockResolvedValueOnce({ data: mockIncident }),    // incident
@@ -26,23 +36,24 @@ vi.mock('@/lib/supabase/server', () => ({
 }))
 
 vi.mock('@/lib/claude/client', () => ({
-  createAnthropicClient: vi.fn().mockReturnValue({
+  createDeepSeekClient: vi.fn().mockReturnValue({
-    messages: {
+    chat: {
+      completions: {
         create: vi.fn().mockResolvedValue({
-        content: [{
+          choices: [{
-          type: 'tool_use',
+            message: {
+              tool_calls: [{
+                type: 'function',
+                function: {
                   name: 'suggest_triage',
-          input: {
+                  arguments: JSON.stringify(triageOutput),
-            severity: 3,
+                },
-            is_fatality: false,
+              }],
-            is_serious_bodily_injury: true,
-            is_dangerous_occurrence: false,
-            is_occupational_disease: false,
-            rationale: 'Fracture constitutes serious bodily injury under NADOPOD 2004.',
             },
           }],
         }),
       },
+    },
   }),
 }))