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{"parentUuid":"327661dc-2877-414d-ba17-9f4a66cff32c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"callback"},"parentToolUseID":"toolu_013bWBYieGkitv6eLzE8Vrgf","toolUseID":"toolu_013bWBYieGkitv6eLzE8Vrgf","timestamp":"2026-03-25T07:09:12.388Z","uuid":"944f4110-900b-4b2c-99ed-b86c084d4ca9"} {"parentUuid":"327661dc-2877-414d-ba17-9f4a66cff32c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013bWBYieGkitv6eLzE8Vrgf","type":"tool_result","content":"No files found"}]},"uuid":"9bc4212e-4ea0-499b-bad2-b524adcfcf83","timestamp":"2026-03-25T07:09:12.387Z","sourceToolAssistantUUID":"327661dc-2877-414d-ba17-9f4a66cff32c"} {"parentUuid":"9bc4212e-4ea0-499b-bad2-b524adcfcf83","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01XvKhzLSYW4PZ8WTu821exB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LUj9KC5VnbLQRCtJmy7ivr","name":"Grep","input":{"pattern":"transcribe-voice|voice-to-job|parse-profile-voice|voice-complete","path":"/home/ccuser/the-50-dollar-app/src","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5232,"cache_read_input_tokens":12786,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5232},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNvLKQVUyTxmWfxqiyd","type":"assistant","uuid":"943a85bc-beed-4312-bef1-5735d01a097f","timestamp":"2026-03-25T07:09:13.743Z"} {"parentUuid":"943a85bc-beed-4312-bef1-5735d01a097f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01LUj9KC5VnbLQRCtJmy7ivr","toolUseID":"toolu_01LUj9KC5VnbLQRCtJmy7ivr","timestamp":"2026-03-25T07:09:13.760Z","uuid":"c19b17e7-b8b8-446b-8a03-a649eb11ad08"} {"parentUuid":"943a85bc-beed-4312-bef1-5735d01a097f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LUj9KC5VnbLQRCtJmy7ivr","type":"tool_result","content":"Found 6 files\nsrc/app/(authenticated)/contractor/post-job/page.tsx\nsrc/app/(authenticated)/worker/signup/hooks/useVoiceProcessing.ts\nsrc/app/api/ai/transcribe-voice/route.ts\nsrc/app/api/ai/parse-profile-voice/route.ts\nsrc/app/api/ai/voice-complete/route.ts\nsrc/app/(authenticated)/worker/profile/build/page.tsx"}]},"uuid":"35d4e403-3132-48bd-ae2b-5775eba6d723","timestamp":"2026-03-25T07:09:13.760Z","sourceToolAssistantUUID":"943a85bc-beed-4312-bef1-5735d01a097f"} {"parentUuid":"35d4e403-3132-48bd-ae2b-5775eba6d723","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01XvKhzLSYW4PZ8WTu821exB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018FuJna5aRZD5ZBRnxY8ns7","name":"Grep","input":{"pattern":"recordVoice|recording|MediaRecorder","path":"/home/ccuser/the-50-dollar-app/src","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5232,"cache_read_input_tokens":12786,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5232},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNvLKQVUyTxmWfxqiyd","type":"assistant","uuid":"d81f2440-fa3c-47bf-b19c-e80296d90742","timestamp":"2026-03-25T07:09:14.571Z"} {"parentUuid":"d81f2440-fa3c-47bf-b19c-e80296d90742","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_018FuJna5aRZD5ZBRnxY8ns7","toolUseID":"toolu_018FuJna5aRZD5ZBRnxY8ns7","timestamp":"2026-03-25T07:09:14.590Z","uuid":"f7e4ce37-0f2f-4b70-a109-3ccd7460add8"} {"parentUuid":"d81f2440-fa3c-47bf-b19c-e80296d90742","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018FuJna5aRZD5ZBRnxY8ns7","type":"tool_result","content":"Found 7 files\nsrc/app/privacy/page.tsx\nsrc/app/(authenticated)/worker/signup/page.tsx\nsrc/app/(authenticated)/contractor/post-job/page.tsx\nsrc/app/(authenticated)/worker/signup/hooks/useVoiceProcessing.ts\nsrc/app/(authenticated)/worker/profile/build/page.tsx\nsrc/components/VoiceRecorder.tsx\nsrc/app/legal/privacy-policy/page.tsx"}]},"uuid":"e1cc88dd-1389-45e9-a78c-b20c942b59ab","timestamp":"2026-03-25T07:09:14.590Z","sourceToolAssistantUUID":"d81f2440-fa3c-47bf-b19c-e80296d90742"} {"parentUuid":"e1cc88dd-1389-45e9-a78c-b20c942b59ab","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent! Now let me read all these key files to get the complete picture."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"4c6fc41c-4f4f-4ba9-b5bb-0521f1e6afdb","timestamp":"2026-03-25T07:09:16.711Z"} {"parentUuid":"4c6fc41c-4f4f-4ba9-b5bb-0521f1e6afdb","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QVWNnPkPZZ9hNq9cRSGehs","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/components/VoiceRecorder.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"f13c1016-8632-429b-8010-2963d1d066c8","timestamp":"2026-03-25T07:09:16.935Z"} {"parentUuid":"f13c1016-8632-429b-8010-2963d1d066c8","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QVWNnPkPZZ9hNq9cRSGehs","toolUseID":"toolu_01QVWNnPkPZZ9hNq9cRSGehs","timestamp":"2026-03-25T07:09:16.939Z","uuid":"5ede5c47-350e-44cf-bfe3-d603496c5056"} {"parentUuid":"f13c1016-8632-429b-8010-2963d1d066c8","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QVWNnPkPZZ9hNq9cRSGehs","type":"tool_result","content":" 1→\"use client\";\n 2→\n 3→import { useState, useRef, useCallback } from \"react\";\n 4→import { Mic, Square, Loader2 } from \"lucide-react\";\n 5→\n 6→interface VoiceRecorderProps {\n 7→ onRecordingComplete: (blob: Blob) => void;\n 8→ disabled?: boolean;\n 9→}\n 10→\n 11→export default function VoiceRecorder({ onRecordingComplete, disabled }: VoiceRecorderProps) {\n 12→ const [recording, setRecording] = useState(false);\n 13→ const [starting, setStarting] = useState(false);\n 14→ const [error, setError] = useState(null);\n 15→ const mediaRecorderRef = useRef(null);\n 16→ const chunksRef = useRef([]);\n 17→\n 18→ const startRecording = useCallback(async () => {\n 19→ setError(null);\n 20→ setStarting(true);\n 21→ try {\n 22→ const stream = await navigator.mediaDevices.getUserMedia({ audio: true });\n 23→ const mediaRecorder = new MediaRecorder(stream, {\n 24→ mimeType: MediaRecorder.isTypeSupported(\"audio/webm\")\n 25→ ? \"audio/webm\"\n 26→ : \"audio/mp4\",\n 27→ });\n 28→ mediaRecorderRef.current = mediaRecorder;\n 29→ chunksRef.current = [];\n 30→\n 31→ mediaRecorder.ondataavailable = (e) => {\n 32→ if (e.data.size > 0) {\n 33→ chunksRef.current.push(e.data);\n 34→ }\n 35→ };\n 36→\n 37→ mediaRecorder.onstop = () => {\n 38→ const blob = new Blob(chunksRef.current, { type: mediaRecorder.mimeType });\n 39→ onRecordingComplete(blob);\n 40→ stream.getTracks().forEach((track) => track.stop());\n 41→ };\n 42→\n 43→ mediaRecorder.start();\n 44→ setRecording(true);\n 45→ } catch (err) {\n 46→ if (err instanceof DOMException) {\n 47→ switch (err.name) {\n 48→ case \"NotAllowedError\":\n 49→ setError(\"Microphone access denied. Please allow microphone access in your browser settings.\");\n 50→ break;\n 51→ case \"NotFoundError\":\n 52→ setError(\"No microphone found. Please connect a microphone and try again.\");\n 53→ break;\n 54→ case \"AbortError\":\n 55→ // User cancelled, no need to show error\n 56→ break;\n 57→ case \"SecurityError\":\n 58→ setError(\"Microphone access requires a secure connection (HTTPS).\");\n 59→ break;\n 60→ default:\n 61→ setError(\"Could not access microphone. Please try again.\");\n 62→ }\n 63→ } else {\n 64→ setError(\"Could not access microphone. Please try again.\");\n 65→ }\n 66→ } finally {\n 67→ setStarting(false);\n 68→ }\n 69→ }, [onRecordingComplete]);\n 70→\n 71→ const stopRecording = useCallback(() => {\n 72→ if (mediaRecorderRef.current && mediaRecorderRef.current.state === \"recording\") {\n 73→ mediaRecorderRef.current.stop();\n 74→ setRecording(false);\n 75→ }\n 76→ }, []);\n 77→\n 78→ return (\n 79→
\n 80→ \n 91→ {starting ? (\n 92→ \n 93→ ) : recording ? (\n 94→ \n 95→ ) : (\n 96→ \n 97→ )}\n 98→ \n 99→

\n 100→ {starting ? \"Starting...\" : recording ? \"Tap to stop\" : \"Tap to speak\"}\n 101→

\n 102→ {error && (\n 103→

{error}

\n 104→ )}\n 105→
\n 106→ );\n 107→}\n 108→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"ba622a5e-2b3e-4373-a2b0-7b345af130c7","timestamp":"2026-03-25T07:09:16.938Z","sourceToolAssistantUUID":"f13c1016-8632-429b-8010-2963d1d066c8"} {"parentUuid":"ba622a5e-2b3e-4373-a2b0-7b345af130c7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P41fCa9uV7G5ZZ6YuArPzw","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/(authenticated)/worker/signup/hooks/useVoiceProcessing.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"c48b8d39-5cb3-4047-89e2-9b5bf2af1f41","timestamp":"2026-03-25T07:09:17.197Z"} {"parentUuid":"c48b8d39-5cb3-4047-89e2-9b5bf2af1f41","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01P41fCa9uV7G5ZZ6YuArPzw","toolUseID":"toolu_01P41fCa9uV7G5ZZ6YuArPzw","timestamp":"2026-03-25T07:09:17.201Z","uuid":"6a5f8e05-6479-40d7-9c93-c0487727f70f"} {"parentUuid":"c48b8d39-5cb3-4047-89e2-9b5bf2af1f41","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P41fCa9uV7G5ZZ6YuArPzw","type":"tool_result","content":" 1→\"use client\";\n 2→\n 3→import { useState } from \"react\";\n 4→import toast from \"react-hot-toast\";\n 5→import { csrfFetch, addCSRFTokenToFormData, getCSRFCookie, initializeCSRF } from \"@/lib/csrf-client\";\n 6→import { TRADES } from \"@/lib/constants\";\n 7→import type { Step, WorkerData } from \"../types\";\n 8→import { EXPERIENCE_OPTIONS } from \"../types\";\n 9→\n 10→interface VoiceProcessingState {\n 11→ processing: boolean;\n 12→ status: string;\n 13→ error: string | null;\n 14→ transcript: string | null;\n 15→}\n 16→\n 17→export function useVoiceProcessing(\n 18→ setSelectedTrades: (trades: string[]) => void,\n 19→ setExperience: (exp: number) => void,\n 20→ setSuburb: (suburb: string) => void,\n 21→ setAvailability: (availability: WorkerData[\"availability\"]) => void,\n 22→ setStep: (step: Step) => void\n 23→) {\n 24→ const [voiceState, setVoiceState] = useState({\n 25→ processing: false,\n 26→ status: \"\",\n 27→ error: null,\n 28→ transcript: null,\n 29→ });\n 30→\n 31→ async function handleVoiceComplete(blob: Blob) {\n 32→ setVoiceState({\n 33→ processing: true,\n 34→ status: \"Transcribing your voice...\",\n 35→ error: null,\n 36→ transcript: null,\n 37→ });\n 38→\n 39→ try {\n 40→ // Ensure CSRF token exists before making requests\n 41→ if (!getCSRFCookie()) {\n 42→ await initializeCSRF();\n 43→ }\n 44→\n 45→ // Step 1: Transcribe (FormData with CSRF token)\n 46→ const formData = new FormData();\n 47→ formData.append(\"audio\", blob, \"recording.webm\");\n 48→ addCSRFTokenToFormData(formData);\n 49→\n 50→ const transcribeRes = await csrfFetch(\"/api/ai/transcribe-voice\", {\n 51→ method: \"POST\",\n 52→ body: formData,\n 53→ });\n 54→\n 55→ if (!transcribeRes.ok) {\n 56→ if (transcribeRes.status === 429) {\n 57→ throw new Error(\"Too many requests. Please wait a few minutes.\");\n 58→ }\n 59→ const errData = await transcribeRes.json().catch(() => ({}));\n 60→ throw new Error(errData.error || \"Failed to transcribe audio\");\n 61→ }\n 62→\n 63→ const { text } = await transcribeRes.json();\n 64→ if (!text) throw new Error(\"No speech detected. Please try again.\");\n 65→\n 66→ // Store the raw transcript for the bio generator\n 67→ setVoiceState(prev => ({ ...prev, transcript: text, status: \"Understanding your details...\" }));\n 68→\n 69→ // Step 2: Parse profile fields (JSON with CSRF header)\n 70→ const parseRes = await csrfFetch(\"/api/ai/parse-profile-voice\", {\n 71→ method: \"POST\",\n 72→ headers: { \"Content-Type\": \"application/json\" },\n 73→ body: JSON.stringify({ transcript: text }),\n 74→ });\n 75→\n 76→ if (!parseRes.ok) {\n 77→ const errData = await parseRes.json().catch(() => ({}));\n 78→ throw new Error(errData.error || \"Failed to parse your details\");\n 79→ }\n 80→\n 81→ const parsed = await parseRes.json();\n 82→\n 83→ // Pre-fill fields — handle multiple trades\n 84→ if (parsed.trades && parsed.trades.length > 0) {\n 85→ setSelectedTrades(parsed.trades);\n 86→ } else if (parsed.trade) {\n 87→ setSelectedTrades([parsed.trade]);\n 88→ }\n 89→ if (parsed.experience_years !== null && parsed.experience_years !== undefined) {\n 90→ // Find closest experience option\n 91→ const closest = EXPERIENCE_OPTIONS.reduce((prev, curr) =>\n 92→ Math.abs(curr.value - parsed.experience_years) < Math.abs(prev.value - parsed.experience_years) ? curr : prev\n 93→ );\n 94→ setExperience(closest.value);\n 95→ }\n 96→ if (parsed.location) setSuburb(parsed.location);\n 97→ if (parsed.availability) setAvailability(parsed.availability);\n 98→\n 99→ // Check what we got and move to the right step\n 100→ setVoiceState(prev => ({ ...prev, status: \"\" }));\n 101→\n 102→ const hasTrade = parsed.trades && parsed.trades.length > 0;\n 103→ const hasExp = parsed.experience_years !== null && parsed.experience_years !== undefined;\n 104→ const hasLoc = !!parsed.location;\n 105→ const hasAvail = !!parsed.availability;\n 106→\n 107→ if (hasTrade && hasExp && hasLoc && hasAvail) {\n 108→ // All fields filled — go straight to review\n 109→ setStep(\"review\");\n 110→ } else if (!hasTrade) {\n 111→ setStep(\"trade\");\n 112→ } else if (!hasExp) {\n 113→ setStep(\"experience\");\n 114→ } else if (!hasLoc) {\n 115→ setStep(\"location\");\n 116→ } else {\n 117→ setStep(\"availability\");\n 118→ }\n 119→ } catch (error) {\n 120→ setVoiceState(prev => ({\n 121→ ...prev,\n 122→ error: error instanceof Error ? error.message : \"Something went wrong. Please try again.\",\n 123→ status: \"\",\n 124→ }));\n 125→ } finally {\n 126→ setVoiceState(prev => ({ ...prev, processing: false }));\n 127→ }\n 128→ }\n 129→\n 130→ return {\n 131→ voiceState,\n 132→ handleVoiceComplete,\n 133→ };\n 134→}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"8bd62a49-ecd7-47d5-95f9-5fe14fe26491","timestamp":"2026-03-25T07:09:17.200Z","sourceToolAssistantUUID":"c48b8d39-5cb3-4047-89e2-9b5bf2af1f41"} {"parentUuid":"8bd62a49-ecd7-47d5-95f9-5fe14fe26491","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q7mSDEG1sFxWACNQsq4oEc","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/api/ai/transcribe-voice/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"6c613f5d-2b23-4ce5-b80b-28cdfcb7e295","timestamp":"2026-03-25T07:09:17.384Z"} {"parentUuid":"6c613f5d-2b23-4ce5-b80b-28cdfcb7e295","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Q7mSDEG1sFxWACNQsq4oEc","toolUseID":"toolu_01Q7mSDEG1sFxWACNQsq4oEc","timestamp":"2026-03-25T07:09:17.387Z","uuid":"9240a076-08e1-4458-8f33-f6d473325eda"} {"parentUuid":"6c613f5d-2b23-4ce5-b80b-28cdfcb7e295","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q7mSDEG1sFxWACNQsq4oEc","type":"tool_result","content":" 1→/**\n 2→ * Voice Transcription Endpoint\n 3→ * \n 4→ * DEPRECATED: This endpoint is maintained for backward compatibility.\n 5→ * For new implementations, use /api/ai/voice-complete which provides\n 6→ * consolidated transcription + parsing + generation for better performance.\n 7→ * \n 8→ * Performance: Use voice-complete for 30-50% faster processing\n 9→ */\n 10→\n 11→import { NextRequest, NextResponse } from \"next/server\";\n 12→import { logger } from \"@/lib/logger\";\n 13→import OpenAI from \"openai\";\n 14→import { createClient } from \"@/lib/supabase/server\";\n 15→import { checkRateLimit, getClientIP, createRateLimitResponse } from \"@/lib/rate-limit\";\n 16→import { withErrorHandler, APIError, ErrorCodes } from \"@/lib/api-errors\";\n 17→import { validateCSRFToken, isSameOrigin } from \"@/lib/csrf\";\n 18→import { \n 19→ AI_RATE_LIMIT, \n 20→ AI_WINDOW_MS \n 21→} from \"@/lib/constants\";\n 22→\n 23→if (!process.env.OPENAI_API_KEY) {\n 24→ throw new Error(\"OPENAI_API_KEY environment variable is not set\");\n 25→}\n 26→\n 27→const openai = new OpenAI({\n 28→ apiKey: process.env.OPENAI_API_KEY,\n 29→});\n 30→\n 31→// Rate limit: 10 requests per 15 minutes per user\n 32→\n 33→async function handler(request: Request) {\n 34→ // CSRF protection: validate same-origin and token\n 35→ if (!isSameOrigin(request)) {\n 36→ return NextResponse.json({ error: 'Cross-origin request not allowed' }, { status: 403 });\n 37→ }\n 38→ const csrfValid = await validateCSRFToken(request);\n 39→ if (!csrfValid) {\n 40→ return NextResponse.json({ error: 'Invalid or missing CSRF token' }, { status: 403 });\n 41→ }\n 42→ \n 43→ // Auth check\n 44→ const supabase = await createClient();\n 45→ const { data: { user } } = await supabase.auth.getUser();\n 46→ if (!user) {\n 47→ throw new APIError(\"Unauthorized\", 401, ErrorCodes.UNAUTHORIZED);\n 48→ }\n 49→\n 50→ // Rate limit\n 51→ const clientIP = getClientIP(request);\n 52→ const rateLimit = await checkRateLimit(`transcribe:${clientIP}`, AI_RATE_LIMIT, AI_WINDOW_MS);\n 53→ if (!rateLimit.allowed) {\n 54→ const retryAfter = Math.ceil((rateLimit.resetTime - Date.now()) / 1000);\n 55→ return createRateLimitResponse(clientIP, retryAfter);\n 56→ }\n 57→\n 58→ const formData = await request.formData();\n 59→ const audioFile = formData.get(\"audio\") as File | null;\n 60→\n 61→ if (!audioFile) {\n 62→ throw new APIError(\"No audio file provided\", 400, ErrorCodes.INVALID_INPUT);\n 63→ }\n 64→\n 65→ try {\n 66→ const transcription = await openai.audio.transcriptions.create({\n 67→ file: audioFile,\n 68→ model: \"whisper-1\",\n 69→ language: \"en\",\n 70→ });\n 71→\n 72→ return Response.json({ text: transcription.text });\n 73→ } catch (error) {\n 74→ logger.error(\"OpenAI transcription error:\", error);\n 75→ throw new APIError(\n 76→ \"Failed to transcribe audio\",\n 77→ 500,\n 78→ ErrorCodes.EXTERNAL_SERVICE_ERROR\n 79→ );\n 80→ }\n 81→}\n 82→\n 83→export const POST = withErrorHandler(handler);\n 84→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"e7cfd0ca-4009-4502-9e0d-23c03de48ad0","timestamp":"2026-03-25T07:09:17.387Z","sourceToolAssistantUUID":"6c613f5d-2b23-4ce5-b80b-28cdfcb7e295"} {"parentUuid":"e7cfd0ca-4009-4502-9e0d-23c03de48ad0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DJQ6WqyXGGNT5zVVviDJAn","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/api/ai/parse-profile-voice/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"f29f4890-0c1a-4154-8df9-3ed0324c46b0","timestamp":"2026-03-25T07:09:17.630Z"} {"parentUuid":"f29f4890-0c1a-4154-8df9-3ed0324c46b0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01DJQ6WqyXGGNT5zVVviDJAn","toolUseID":"toolu_01DJQ6WqyXGGNT5zVVviDJAn","timestamp":"2026-03-25T07:09:17.635Z","uuid":"8f258c00-c516-4beb-b071-ce7f156b812d"} {"parentUuid":"f29f4890-0c1a-4154-8df9-3ed0324c46b0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DJQ6WqyXGGNT5zVVviDJAn","type":"tool_result","content":" 1→/**\n 2→ * Voice Profile Parsing Endpoint\n 3→ * \n 4→ * DEPRECATED: This endpoint is maintained for backward compatibility.\n 5→ * For new implementations, use /api/ai/voice-complete which provides\n 6→ * consolidated transcription + parsing + generation for better performance.\n 7→ * \n 8→ * Performance: Use voice-complete for 30-50% faster processing\n 9→ */\n 10→\n 11→import { NextRequest, NextResponse } from \"next/server\";\n 12→import { logger } from \"@/lib/logger\";\n 13→import OpenAI from \"openai\";\n 14→import { createClient } from \"@/lib/supabase/server\";\n 15→import { checkRateLimit, getClientIP, createRateLimitResponse } from \"@/lib/rate-limit\";\n 16→import { withErrorHandler, APIError, ErrorCodes } from \"@/lib/api-errors\";\n 17→import { sanitizeInput } from \"@/lib/sanitize\";\n 18→import { validateCSRFToken, isSameOrigin } from \"@/lib/csrf\";\n 19→import { TRADES } from \"@/lib/constants\";\n 20→import { \n 21→ AI_RATE_LIMIT, \n 22→ RATE_LIMIT_WINDOW_MS as AI_WINDOW_MS,\n 23→ MAX_LENGTH_TRANSCRIPT \n 24→} from \"@/lib/constants\";\n 25→\n 26→// Cast helper to use NextRequest methods while satisfying withErrorHandler signature\n 27→type Handler = (request: Request) => Promise;\n 28→\n 29→if (!process.env.OPENAI_API_KEY) {\n 30→ throw new Error(\"OPENAI_API_KEY environment variable is not set\");\n 31→}\n 32→\n 33→const openai = new OpenAI({\n 34→ apiKey: process.env.OPENAI_API_KEY,\n 35→});\n 36→\n 37→// Rate limit: 10 requests per 15 minutes per user\n 38→\n 39→const VALID_AVAILABILITY = [\"full-time\", \"casual\", \"weekends\", \"flexible\"];\n 40→\n 41→async function handler(request: Request) {\n 42→ const nextRequest = request as NextRequest;\n 43→ // CSRF protection: validate same-origin and token\n 44→ if (!isSameOrigin(request)) {\n 45→ return NextResponse.json({ error: 'Cross-origin request not allowed' }, { status: 403 });\n 46→ }\n 47→ const csrfValid = await validateCSRFToken(request);\n 48→ if (!csrfValid) {\n 49→ return NextResponse.json({ error: 'Invalid or missing CSRF token' }, { status: 403 });\n 50→ }\n 51→ \n 52→ // Auth check\n 53→ const supabase = await createClient();\n 54→ const { data: { user } } = await supabase.auth.getUser();\n 55→ if (!user) {\n 56→ throw new APIError(\"Unauthorized\", 401, ErrorCodes.UNAUTHORIZED);\n 57→ }\n 58→\n 59→ // Rate limit\n 60→ const clientIP = getClientIP(request);\n 61→ const rateLimit = await checkRateLimit(`parse-voice:${clientIP}`, AI_RATE_LIMIT, AI_WINDOW_MS);\n 62→ if (!rateLimit.allowed) {\n 63→ const retryAfter = Math.ceil((rateLimit.resetTime - Date.now()) / 1000);\n 64→ return createRateLimitResponse(clientIP, retryAfter);\n 65→ }\n 66→\n 67→ const body = await request.json();\n 68→ const { transcript } = body;\n 69→\n 70→ if (!transcript || typeof transcript !== \"string\") {\n 71→ throw new APIError(\"Missing transcript\", 400, ErrorCodes.INVALID_INPUT);\n 72→ }\n 73→\n 74→ // Sanitize transcript to prevent prompt injection\n 75→ const sanitizedTranscript = sanitizeInput(transcript, { maxLength: MAX_LENGTH_TRANSCRIPT });\n 76→\n 77→ try {\n 78→ const completion = await openai.chat.completions.create({\n 79→ model: \"gpt-4o-mini\",\n 80→ messages: [\n 81→ {\n 82→ role: \"system\",\n 83→ content: `You are a profile parser for an Australian construction hiring app. Extract structured data from a worker's spoken description.\n 84→\n 85→Valid trades: ${TRADES.join(\", \")}\n 86→Valid availability: ${VALID_AVAILABILITY.join(\", \")}\n 87→\n 88→Return ONLY valid JSON in this exact format:\n 89→{\n 90→ \"trades\": [\"array of valid trades mentioned, or empty array\"],\n 91→ \"trade\": \"primary trade (first one mentioned) or null\",\n 92→ \"experience_years\": number or null,\n 93→ \"location\": \"suburb/area string or null\",\n 94→ \"availability\": \"one of the valid availability options or null\",\n 95→ \"additional_details\": \"any other details mentioned — specific skills, years per trade, preferences, work history, specialties. Capture everything not covered by the structured fields above. null if nothing extra.\"\n 96→}\n 97→\n 98→Match trades loosely — e.g. \"sparky\" = \"Electrician\", \"chippie\" = \"Carpenter\", \"bricky\" = \"Bricklayer\", \"steel fixer\"/\"steelfixer\"/\"reo\" = \"Steel Fixer\", \"formworker\"/\"formwork\"/\"shuttering\"/\"shutter hand\" = \"Formworker\".\n 99→IMPORTANT: Extract ALL trades mentioned, not just one. If someone says \"steel fixing and shuttering\", return both \"Steel Fixer\" and \"Formworker\".\n 100→For experience, extract the number of years mentioned (use the highest if multiple are given for different trades).\n 101→For location, extract any suburb, city, or area name mentioned.\n 102→For availability, match to the closest option.\n 103→If a field is not mentioned, set it to null (or empty array for trades).`,\n 104→ },\n 105→ {\n 106→ role: \"user\",\n 107→ content: sanitizedTranscript,\n 108→ },\n 109→ ],\n 110→ temperature: 0.3,\n 111→ response_format: { type: \"json_object\" },\n 112→ });\n 113→\n 114→ const content = completion.choices[0]?.message?.content;\n 115→ if (!content) {\n 116→ throw new APIError(\"No response from AI\", 500, ErrorCodes.EXTERNAL_SERVICE_ERROR);\n 117→ }\n 118→\n 119→ const parsed = JSON.parse(content);\n 120→\n 121→ // Validate trades array\n 122→ if (Array.isArray(parsed.trades)) {\n 123→ parsed.trades = parsed.trades.filter((t: string) => (TRADES as readonly string[]).includes(t));\n 124→ } else {\n 125→ parsed.trades = [];\n 126→ }\n 127→\n 128→ // Validate primary trade (use first from trades array if invalid)\n 129→ if (parsed.trade && !(TRADES as readonly string[]).includes(parsed.trade)) {\n 130→ parsed.trade = parsed.trades[0] || null;\n 131→ } else if (!parsed.trade && parsed.trades.length > 0) {\n 132→ parsed.trade = parsed.trades[0];\n 133→ }\n 134→\n 135→ // Validate availability\n 136→ if (parsed.availability && !VALID_AVAILABILITY.includes(parsed.availability)) {\n 137→ parsed.availability = null;\n 138→ }\n 139→\n 140→ // Validate experience_years\n 141→ if (parsed.experience_years !== null && (typeof parsed.experience_years !== \"number\" || parsed.experience_years < 0)) {\n 142→ parsed.experience_years = null;\n 143→ }\n 144→\n 145→ return Response.json(parsed);\n 146→ } catch (error) {\n 147→ logger.error(\"OpenAI parsing error:\", error);\n 148→ if (error instanceof APIError) {\n 149→ throw error;\n 150→ }\n 151→ throw new APIError(\n 152→ \"Failed to parse voice input\",\n 153→ 500,\n 154→ ErrorCodes.EXTERNAL_SERVICE_ERROR\n 155→ );\n 156→ }\n 157→}\n 158→\n 159→export const POST = withErrorHandler(handler);\n 160→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"430b1c1b-5fa2-4fcf-ad6f-93b640508187","timestamp":"2026-03-25T07:09:17.634Z","sourceToolAssistantUUID":"f29f4890-0c1a-4154-8df9-3ed0324c46b0"} {"parentUuid":"430b1c1b-5fa2-4fcf-ad6f-93b640508187","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PmJUnoADLwnBH8daGbinnm","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-complete/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"f84a0014-3939-44d7-b3fe-3b74df53ac18","timestamp":"2026-03-25T07:09:17.827Z"} {"parentUuid":"f84a0014-3939-44d7-b3fe-3b74df53ac18","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PmJUnoADLwnBH8daGbinnm","toolUseID":"toolu_01PmJUnoADLwnBH8daGbinnm","timestamp":"2026-03-25T07:09:17.830Z","uuid":"eecfcf0f-6e86-4fc3-beb1-438f7f172560"} {"parentUuid":"f84a0014-3939-44d7-b3fe-3b74df53ac18","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PmJUnoADLwnBH8daGbinnm","type":"tool_result","content":" 1→/**\n 2→ * Voice Processing Optimization - Consolidated Endpoint\n 3→ * \n 4→ * This endpoint replaces the previous 3-step sequential process:\n 5→ * 1. /api/ai/transcribe-voice (Whisper)\n 6→ * 2. /api/ai/parse-profile-voice (GPT-4o-mini parsing)\n 7→ * 3. /api/ai/generate-profile (GPT-4o-mini generation)\n 8→ * \n 9→ * New optimized flow:\n 10→ * - Single endpoint handles transcription (if audio provided) + parsing + generation\n 11→ * - Reduces network overhead and total processing time by ~30-50%\n 12→ * - Provides fallback to manual completion if AI processing fails\n 13→ * - Preserves transcript data across failures for better UX\n 14→ * \n 15→ * Performance improvement: ~5-12 seconds → ~3-7 seconds\n 16→ */\n 17→\n 18→import { NextRequest, NextResponse } from \"next/server\";\n 19→import { logger } from \"@/lib/logger\";\n 20→import OpenAI from \"openai\";\n 21→import { createClient } from \"@/lib/supabase/server\";\n 22→import { checkRateLimit, getClientIP, createRateLimitResponse } from \"@/lib/rate-limit\";\n 23→import { sanitizeInput } from \"@/lib/sanitize\";\n 24→import { withCSRFProtection } from \"@/lib/csrf\";\n 25→import { TRADES } from \"@/lib/constants\";\n 26→import { \n 27→ AI_RATE_LIMIT, \n 28→ AI_WINDOW_MS,\n 29→ MAX_LENGTH_TRADE,\n 30→ MAX_LENGTH_LOCATION,\n 31→ MAX_LENGTH_AVAILABILITY,\n 32→ MAX_LENGTH_VOICE_TRANSCRIPT,\n 33→ MAX_LENGTH_TRANSCRIPT\n 34→} from \"@/lib/constants\";\n 35→\n 36→if (!process.env.OPENAI_API_KEY) {\n 37→ throw new Error(\"OPENAI_API_KEY environment variable is not set\");\n 38→}\n 39→\n 40→const openai = new OpenAI({\n 41→ apiKey: process.env.OPENAI_API_KEY,\n 42→});\n 43→\n 44→// Rate limit: 5 requests per 15 minutes per IP (expensive AI call)\n 45→const VALID_AVAILABILITY = [\"full-time\", \"casual\", \"weekends\", \"flexible\"];\n 46→\n 47→const handler = async (request: NextRequest) => {\n 48→ try {\n 49→ // --- Rate limiting ---\n 50→ const clientIP = getClientIP(request);\n 51→ const rateLimit = await checkRateLimit(`ai-voice-complete:${clientIP}`, AI_RATE_LIMIT, AI_WINDOW_MS);\n 52→\n 53→ if (!rateLimit.allowed) {\n 54→ const retryAfter = Math.ceil((rateLimit.resetTime - Date.now()) / 1000);\n 55→ return createRateLimitResponse(clientIP, retryAfter);\n 56→ }\n 57→\n 58→ // --- Auth check ---\n 59→ const supabase = await createClient();\n 60→ const { data: { user }, error: authError } = await supabase.auth.getUser();\n 61→ if (authError || !user) {\n 62→ return NextResponse.json({ error: \"Unauthorized\" }, { status: 401 });\n 63→ }\n 64→\n 65→ // Parse request based on content type\n 66→ let audioFile: File | null = null;\n 67→ let existingTranscript: string | null = null;\n 68→ \n 69→ const contentType = request.headers.get(\"content-type\") || \"\";\n 70→ \n 71→ if (contentType.includes(\"multipart/form-data\")) {\n 72→ // Handle audio file upload\n 73→ const formData = await request.formData();\n 74→ audioFile = formData.get(\"audio\") as File | null;\n 75→ existingTranscript = formData.get(\"transcript\") as string | null;\n 76→ \n 77→ if (!audioFile && !existingTranscript) {\n 78→ return NextResponse.json(\n 79→ { error: \"No audio file or transcript provided\" },\n 80→ { status: 400 }\n 81→ );\n 82→ }\n 83→ } else {\n 84→ // Handle JSON with existing transcript\n 85→ const body = await request.json();\n 86→ existingTranscript = body.transcript;\n 87→ \n 88→ if (!existingTranscript) {\n 89→ return NextResponse.json(\n 90→ { error: \"No transcript provided\" },\n 91→ { status: 400 }\n 92→ );\n 93→ }\n 94→ }\n 95→\n 96→ let transcript: string;\n 97→ \n 98→ // Step 1: Transcribe audio if needed\n 99→ if (audioFile) {\n 100→ try {\n 101→ const transcription = await openai.audio.transcriptions.create({\n 102→ file: audioFile,\n 103→ model: \"whisper-1\",\n 104→ language: \"en\",\n 105→ });\n 106→ transcript = transcription.text;\n 107→ } catch (error) {\n 108→ logger.error(\"OpenAI transcription error:\", error);\n 109→ return NextResponse.json(\n 110→ { error: \"Failed to transcribe audio\" },\n 111→ { status: 500 }\n 112→ );\n 113→ }\n 114→ } else {\n 115→ transcript = existingTranscript!;\n 116→ }\n 117→\n 118→ if (!transcript.trim()) {\n 119→ return NextResponse.json(\n 120→ { error: \"No speech detected in audio\" },\n 121→ { status: 400 }\n 122→ );\n 123→ }\n 124→\n 125→ // Sanitize transcript\n 126→ const sanitizedTranscript = sanitizeInput(transcript, { maxLength: MAX_LENGTH_TRANSCRIPT });\n 127→\n 128→ // Step 2: Parse profile and generate complete profile in single GPT call\n 129→ try {\n 130→ const completion = await openai.chat.completions.create({\n 131→ model: \"gpt-4o-mini\",\n 132→ messages: [\n 133→ {\n 134→ role: \"system\",\n 135→ content: `You are a profile parser and generator for an Australian construction hiring app. \n 136→\n 137→First, extract structured data from the worker's spoken description, then generate a complete profile.\n 138→\n 139→Valid trades: ${TRADES.join(\", \")}\n 140→Valid availability: ${VALID_AVAILABILITY.join(\", \")}\n 141→\n 142→Return ONLY valid JSON in this exact format:\n 143→{\n 144→ \"parsed_data\": {\n 145→ \"trades\": [\"array of valid trades mentioned, or empty array\"],\n 146→ \"trade\": \"primary trade (first one mentioned) or null\", \n 147→ \"experience_years\": number or null,\n 148→ \"location\": \"suburb/area string or null\",\n 149→ \"availability\": \"one of the valid availability options or null\",\n 150→ \"additional_details\": \"any other details mentioned — specific skills, years per trade, preferences, work history, specialties. Capture everything not covered by the structured fields above. null if nothing extra.\"\n 151→ },\n 152→ \"generated_profile\": {\n 153→ \"bio\": \"professional 2-3 sentence bio (50-80 words) written in FIRST PERSON\",\n 154→ \"skills\": [\"array of 6-10 relevant technical skills\"],\n 155→ \"certifications\": [\"array of 3-5 common/recommended certifications\"]\n 156→ }\n 157→}\n 158→\n 159→Match trades loosely — e.g. \"sparky\" = \"Electrician\", \"chippie\" = \"Carpenter\", \"bricky\" = \"Bricklayer\", \"steel fixer\"/\"steelfixer\"/\"reo\" = \"Steel Fixer\", \"formworker\"/\"formwork\"/\"shuttering\"/\"shutter hand\" = \"Formworker\".\n 160→IMPORTANT: Extract ALL trades mentioned, not just one. If someone says \"steel fixing and shuttering\", return both \"Steel Fixer\" and \"Formworker\".\n 161→For experience, extract the number of years mentioned (use the highest if multiple are given for different trades).\n 162→For location, extract any suburb, city, or area name mentioned.\n 163→For availability, match to the closest option.\n 164→\n 165→For the bio: Make it sound professional but approachable. Focus on practical skills and experience. Write in FIRST PERSON (\"I\", \"my\", \"me\"). Incorporate specific details from the transcript to make it personal and unique. If multiple trades are mentioned, reference them appropriately.`,\n 166→ },\n 167→ {\n 168→ role: \"user\", \n 169→ content: sanitizedTranscript,\n 170→ },\n 171→ ],\n 172→ temperature: 0.3,\n 173→ response_format: { type: \"json_object\" },\n 174→ });\n 175→\n 176→ const content = completion.choices[0]?.message?.content;\n 177→ if (!content) {\n 178→ throw new Error(\"No response from AI\");\n 179→ }\n 180→\n 181→ const result = JSON.parse(content);\n 182→ \n 183→ // Validate and clean parsed data\n 184→ const parsedData = result.parsed_data || {};\n 185→ const generatedProfile = result.generated_profile || {};\n 186→ \n 187→ // Validate trades array\n 188→ if (Array.isArray(parsedData.trades)) {\n 189→ parsedData.trades = parsedData.trades.filter((t: string) => (TRADES as readonly string[]).includes(t));\n 190→ } else {\n 191→ parsedData.trades = [];\n 192→ }\n 193→\n 194→ // Validate primary trade\n 195→ if (parsedData.trade && !(TRADES as readonly string[]).includes(parsedData.trade)) {\n 196→ parsedData.trade = parsedData.trades[0] || null;\n 197→ } else if (!parsedData.trade && parsedData.trades.length > 0) {\n 198→ parsedData.trade = parsedData.trades[0];\n 199→ }\n 200→\n 201→ // Validate availability\n 202→ if (parsedData.availability && !VALID_AVAILABILITY.includes(parsedData.availability)) {\n 203→ parsedData.availability = null;\n 204→ }\n 205→\n 206→ // Validate experience_years\n 207→ if (parsedData.experience_years !== null && (typeof parsedData.experience_years !== \"number\" || parsedData.experience_years < 0)) {\n 208→ parsedData.experience_years = null;\n 209→ }\n 210→\n 211→ return NextResponse.json({\n 212→ transcript: sanitizedTranscript,\n 213→ parsed_data: parsedData,\n 214→ generated_profile: {\n 215→ bio: generatedProfile.bio || \"\",\n 216→ skills: generatedProfile.skills || [],\n 217→ certifications: generatedProfile.certifications || [],\n 218→ },\n 219→ // Include timing for performance monitoring\n 220→ timing: {\n 221→ had_audio: !!audioFile,\n 222→ processing_complete: true,\n 223→ }\n 224→ });\n 225→\n 226→ } catch (error) {\n 227→ logger.error(\"OpenAI processing error:\", error);\n 228→ \n 229→ // If AI parsing fails, return the transcript so user can complete manually\n 230→ return NextResponse.json({\n 231→ transcript: sanitizedTranscript,\n 232→ parsed_data: {\n 233→ trades: [],\n 234→ trade: null,\n 235→ experience_years: null,\n 236→ location: null,\n 237→ availability: null,\n 238→ additional_details: null,\n 239→ },\n 240→ generated_profile: {\n 241→ bio: \"\",\n 242→ skills: [],\n 243→ certifications: [],\n 244→ },\n 245→ error: \"AI processing failed. Please complete your profile manually.\",\n 246→ fallback: true,\n 247→ timing: {\n 248→ had_audio: !!audioFile,\n 249→ processing_complete: false,\n 250→ }\n 251→ });\n 252→ }\n 253→\n 254→ } catch (error) {\n 255→ logger.error(\"Voice complete error:\", error);\n 256→ \n 257→ if (error instanceof Error) {\n 258→ if (error.message.includes(\"API key\")) {\n 259→ return NextResponse.json(\n 260→ { error: \"AI service configuration error\" },\n 261→ { status: 503 }\n 262→ );\n 263→ }\n 264→ if (error.message.includes(\"rate limit\") || error.message.includes(\"429\")) {\n 265→ return NextResponse.json(\n 266→ { error: \"AI service is busy. Please try again in a moment.\" },\n 267→ { status: 429 }\n 268→ );\n 269→ }\n 270→ }\n 271→\n 272→ return NextResponse.json(\n 273→ { error: \"Failed to process voice input. Please try again.\" },\n 274→ { status: 500 }\n 275→ );\n 276→ }\n 277→};\n 278→\n 279→// Apply CSRF protection to the handler\n 280→export const POST = withCSRFProtection(handler);\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"a182273f-7300-45e0-bd19-d469894c434d","timestamp":"2026-03-25T07:09:17.830Z","sourceToolAssistantUUID":"f84a0014-3939-44d7-b3fe-3b74df53ac18"} {"parentUuid":"a182273f-7300-45e0-bd19-d469894c434d","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FyEYi35AUBBFp8qSAtSmVJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011NJT9Pj6qYABxzwgvVgLqK","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/(authenticated)/contractor/post-job/page.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":804,"cache_read_input_tokens":18018,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":804},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNveFfVzDePfCWpZpQQ","type":"assistant","uuid":"02f78710-f258-4f07-aed3-04ea3168bc96","timestamp":"2026-03-25T07:09:18.000Z"} {"parentUuid":"02f78710-f258-4f07-aed3-04ea3168bc96","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011NJT9Pj6qYABxzwgvVgLqK","toolUseID":"toolu_011NJT9Pj6qYABxzwgvVgLqK","timestamp":"2026-03-25T07:09:18.306Z","uuid":"73a396a9-6cd6-4de8-9ef8-541290334d9f"} {"parentUuid":"02f78710-f258-4f07-aed3-04ea3168bc96","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011NJT9Pj6qYABxzwgvVgLqK","type":"tool_result","content":" 1→\"use client\";\n 2→\n 3→import { useState, useRef, useCallback, useEffect } from \"react\";\n 4→import { useRouter } from \"next/navigation\";\n 5→import { logger } from \"@/lib/logger\";\n 6→import Link from \"next/link\";\n 7→import toast from \"react-hot-toast\";\n 8→import { createClient } from \"@/lib/supabase/client\";\n 9→import { Button } from \"@/components/ui/button\";\n 10→import { Card, CardContent } from \"@/components/ui/card\";\n 11→import { Input } from \"@/components/ui/input\";\n 12→import { Label } from \"@/components/ui/label\";\n 13→import { Badge } from \"@/components/ui/badge\";\n 14→import {\n 15→ ArrowLeft,\n 16→ ArrowRight,\n 17→ Loader2,\n 18→ Sparkles,\n 19→ Check,\n 20→ MapPin,\n 21→ Calendar,\n 22→ Users,\n 23→ DollarSign,\n 24→ HardHat,\n 25→ Wrench,\n 26→ Hammer,\n 27→ Blocks,\n 28→ Fence,\n 29→ CircleDot,\n 30→ Shovel,\n 31→ Mic,\n 32→ Square,\n 33→} from \"lucide-react\";\n 34→import { jsonToPostgresPoint } from \"@/lib/location-utils\";\n 35→import { csrfFetch, withCSRFToken, getCSRFCookie, initializeCSRF, addCSRFTokenToFormData } from \"@/lib/csrf-client\";\n 36→import { stripContactInfo } from \"@/lib/sanitize\";\n 37→\n 38→const TRADE_CATEGORIES = [\n 39→ { id: \"steel-fixer\", label: \"Steel Fixer\", icon: Wrench, color: \"bg-blue-500/10 border-blue-500/30 text-blue-700\" },\n 40→ { id: \"formworker\", label: \"Formworker\", icon: Blocks, color: \"bg-amber-500/10 border-amber-500/30 text-amber-700\" },\n 41→ { id: \"labourer\", label: \"Labourer\", icon: Shovel, color: \"bg-green-500/10 border-green-500/30 text-green-700\" },\n 42→ { id: \"concreter\", label: \"Concreter\", icon: CircleDot, color: \"bg-gray-500/10 border-gray-500/30 text-gray-700\" },\n 43→ { id: \"carpenter\", label: \"Carpenter\", icon: Hammer, color: \"bg-orange-500/10 border-orange-500/30 text-orange-700\" },\n 44→ { id: \"scaffolder\", label: \"Scaffolder\", icon: Fence, color: \"bg-purple-500/10 border-purple-500/30 text-purple-700\" },\n 45→ { id: \"other\", label: \"Other\", icon: HardHat, color: \"bg-muted border-border text-foreground\" },\n 46→];\n 47→\n 48→const AI_SUGGESTIONS: Record = {\n 49→ \"steel-fixer\": {\n 50→ title: \"Steel Fixer Needed\",\n 51→ description: \"Experienced steel fixer required for commercial construction project. Must be able to read drawings, tie rebar, and work with mesh. PPE required on site at all times. Early starts — 6:30am.\",\n 52→ certs: [\"White Card\", \"Working at Heights\"],\n 53→ rateMin: 45,\n 54→ rateMax: 65,\n 55→ rateType: \"hourly\",\n 56→ },\n 57→ \"formworker\": {\n 58→ title: \"Formworker Required\",\n 59→ description: \"Skilled formworker needed for concrete pours on a residential build. Experience with timber and steel formwork systems. Must be comfortable with early starts and physical work.\",\n 60→ certs: [\"White Card\"],\n 61→ rateMin: 42,\n 62→ rateMax: 58,\n 63→ rateType: \"hourly\",\n 64→ },\n 65→ \"labourer\": {\n 66→ title: \"General Labourer Needed\",\n 67→ description: \"Reliable labourer needed for site clean-up, material handling, and general duties. No specific trade experience needed but must be fit and punctual. PPE and boots required.\",\n 68→ certs: [\"White Card\"],\n 69→ rateMin: 32,\n 70→ rateMax: 42,\n 71→ rateType: \"hourly\",\n 72→ },\n 73→ \"concreter\": {\n 74→ title: \"Concreter Required\",\n 75→ description: \"Experienced concreter needed for slab pours and finishing work. Must know how to screed, float, and finish concrete to a high standard. Early morning pours expected.\",\n 76→ certs: [\"White Card\"],\n 77→ rateMin: 45,\n 78→ rateMax: 65,\n 79→ rateType: \"hourly\",\n 80→ },\n 81→ \"carpenter\": {\n 82→ title: \"Carpenter Needed\",\n 83→ description: \"Qualified carpenter required for framing and fit-out work. Must have own basic tools. Experience with residential or commercial builds preferred.\",\n 84→ certs: [\"White Card\", \"Trade Certificate\"],\n 85→ rateMin: 45,\n 86→ rateMax: 65,\n 87→ rateType: \"hourly\",\n 88→ },\n 89→ \"scaffolder\": {\n 90→ title: \"Scaffolder Required\",\n 91→ description: \"Licensed scaffolder needed for erection and dismantling of scaffolding systems. Must hold current scaffolding licence. Safety-first attitude essential.\",\n 92→ certs: [\"White Card\", \"Scaffolding Licence\", \"Working at Heights\"],\n 93→ rateMin: 48,\n 94→ rateMax: 68,\n 95→ rateType: \"hourly\",\n 96→ },\n 97→ \"other\": {\n 98→ title: \"Construction Worker Needed\",\n 99→ description: \"Worker needed for construction project. Please specify the role and requirements in the description.\",\n 100→ certs: [\"White Card\"],\n 101→ rateMin: 35,\n 102→ rateMax: 55,\n 103→ rateType: \"hourly\",\n 104→ },\n 105→};\n 106→\n 107→export default function PostJobPage() {\n 108→ const router = useRouter();\n 109→ const supabase = createClient();\n 110→\n 111→ // Ensure CSRF token is available (defensive — may have been missed during signup)\n 112→ useEffect(() => {\n 113→ if (!getCSRFCookie()) {\n 114→ initializeCSRF();\n 115→ }\n 116→ }, []);\n 117→\n 118→ const [step, setStep] = useState(1);\n 119→ const [loading, setLoading] = useState(false);\n 120→ const [aiLoading, setAiLoading] = useState(false);\n 121→ const [aiLoadingMessage, setAiLoadingMessage] = useState(\"\");\n 122→\n 123→ // Voice recording state\n 124→ const [voiceRecording, setVoiceRecording] = useState(false);\n 125→ const [voiceStarting, setVoiceStarting] = useState(false);\n 126→ const [voiceError, setVoiceError] = useState(null);\n 127→ const mediaRecorderRef = useRef(null);\n 128→ const chunksRef = useRef([]);\n 129→\n 130→ // Step 1: Trade\n 131→ const [selectedTrade, setSelectedTrade] = useState(\"\");\n 132→\n 133→ // Step 2: AI-filled job details + location/date/workers (COMBINED)\n 134→ const [title, setTitle] = useState(\"\");\n 135→ const [description, setDescription] = useState(\"\");\n 136→ const [certs, setCerts] = useState([]);\n 137→ const [rateMin, setRateMin] = useState(\"\");\n 138→ const [rateMax, setRateMax] = useState(\"\");\n 139→ const [rateType, setRateType] = useState<\"hourly\" | \"daily\">(\"hourly\");\n 140→ const [suburb, setSuburb] = useState(\"\");\n 141→ const [siteAddress, setSiteAddress] = useState(\"\");\n 142→ const [startDate, setStartDate] = useState(\"\");\n 143→ const [duration, setDuration] = useState(\"\");\n 144→ const [workersNeeded, setWorkersNeeded] = useState(\"1\");\n 145→\n 146→ // Voice recording handlers\n 147→ const startVoiceRecording = useCallback(async () => {\n 148→ setVoiceError(null);\n 149→ setVoiceStarting(true);\n 150→ try {\n 151→ const stream = await navigator.mediaDevices.getUserMedia({ audio: true });\n 152→ const mediaRecorder = new MediaRecorder(stream, {\n 153→ mimeType: MediaRecorder.isTypeSupported(\"audio/webm\")\n 154→ ? \"audio/webm\"\n 155→ : \"audio/mp4\",\n 156→ });\n 157→ mediaRecorderRef.current = mediaRecorder;\n 158→ chunksRef.current = [];\n 159→\n 160→ mediaRecorder.ondataavailable = (e) => {\n 161→ if (e.data.size > 0) {\n 162→ chunksRef.current.push(e.data);\n 163→ }\n 164→ };\n 165→\n 166→ mediaRecorder.onstop = () => {\n 167→ const blob = new Blob(chunksRef.current, { type: mediaRecorder.mimeType });\n 168→ stream.getTracks().forEach((track) => track.stop());\n 169→ handleVoiceBlob(blob);\n 170→ };\n 171→\n 172→ mediaRecorder.start();\n 173→ setVoiceRecording(true);\n 174→ } catch (err) {\n 175→ if (err instanceof DOMException) {\n 176→ switch (err.name) {\n 177→ case \"NotAllowedError\":\n 178→ setVoiceError(\"Microphone access denied. Please allow microphone access in your browser settings.\");\n 179→ break;\n 180→ case \"NotFoundError\":\n 181→ setVoiceError(\"No microphone found. Please connect a microphone and try again.\");\n 182→ break;\n 183→ case \"AbortError\":\n 184→ break;\n 185→ case \"SecurityError\":\n 186→ setVoiceError(\"Microphone access requires a secure connection (HTTPS).\");\n 187→ break;\n 188→ default:\n 189→ setVoiceError(\"Could not access microphone. Please try again.\");\n 190→ }\n 191→ } else {\n 192→ setVoiceError(\"Could not access microphone. Please try again.\");\n 193→ }\n 194→ } finally {\n 195→ setVoiceStarting(false);\n 196→ }\n 197→ }, []);\n 198→\n 199→ const stopVoiceRecording = useCallback(() => {\n 200→ if (mediaRecorderRef.current && mediaRecorderRef.current.state === \"recording\") {\n 201→ mediaRecorderRef.current.stop();\n 202→ setVoiceRecording(false);\n 203→ }\n 204→ }, []);\n 205→\n 206→ async function handleVoiceBlob(blob: Blob) {\n 207→ setAiLoading(true);\n 208→ setAiLoadingMessage(\"Listening to your voice...\");\n 209→ setStep(2);\n 210→\n 211→ try {\n 212→ const formData = new FormData();\n 213→ formData.append(\"audio\", blob, \"recording.webm\");\n 214→ addCSRFTokenToFormData(formData);\n 215→\n 216→ setAiLoadingMessage(\"AI writing your job post...\");\n 217→\n 218→ const res = await fetch(\"/api/ai/voice-to-job\", withCSRFToken({\n 219→ method: \"POST\",\n 220→ body: formData,\n 221→ }));\n 222→\n 223→ if (!res.ok) {\n 224→ const errData = await res.json().catch(() => ({}));\n 225→ throw new Error(errData.error || \"Failed to process voice\");\n 226→ }\n 227→\n 228→ const data = await res.json();\n 229→\n 230→ if (data.fallback) {\n 231→ toast.error(\"AI couldn\\u2019t fully process your voice. Please fill in the details.\");\n 232→ }\n 233→\n 234→ // Auto-fill all form fields from voice\n 235→ if (data.trade) setSelectedTrade(data.trade);\n 236→ if (data.title) setTitle(data.title);\n 237→ if (data.description) setDescription(data.description);\n 238→ if (data.certifications) setCerts(data.certifications);\n 239→ if (data.rateMin != null) {\n 240→ setRateMin(String(data.rateMin));\n 241→ // Default max to min unless AI explicitly gave a different max\n 242→ setRateMax(String(data.rateMax ?? data.rateMin));\n 243→ }\n 244→ if (data.rateType) setRateType(data.rateType);\n 245→ if (data.suburb) setSuburb(data.suburb);\n 246→ if (data.siteAddress) setSiteAddress(data.siteAddress);\n 247→ if (data.startDate) setStartDate(data.startDate);\n 248→ if (data.duration) setDuration(data.duration);\n 249→ if (data.workersNeeded) setWorkersNeeded(String(data.workersNeeded));\n 250→ } catch (error) {\n 251→ logger.error(\"Voice-to-job error:\", error);\n 252→ toast.error(\"Voice processing failed. Try again or type your job details.\");\n 253→ setStep(1);\n 254→ } finally {\n 255→ setAiLoading(false);\n 256→ setAiLoadingMessage(\"\");\n 257→ }\n 258→ }\n 259→\n 260→ async function handleTradeSelect(tradeId: string) {\n 261→ setSelectedTrade(tradeId);\n 262→ setAiLoading(true);\n 263→ setStep(2);\n 264→\n 265→ // Try real AI generation, fall back to hardcoded suggestions\n 266→ try {\n 267→ const res = await csrfFetch(\"/api/ai/generate-job\", {\n 268→ method: \"POST\",\n 269→ headers: { \"Content-Type\": \"application/json\" },\n 270→ body: JSON.stringify({ trade: tradeId }),\n 271→ });\n 272→\n 273→ if (res.ok) {\n 274→ const data = await res.json();\n 275→ setTitle(data.title);\n 276→ setDescription(data.description);\n 277→ setCerts(data.certifications);\n 278→ setRateMin(String(data.rateMin));\n 279→ setRateMax(String(data.rateMax));\n 280→ setRateType(data.rateType);\n 281→ setAiLoading(false);\n 282→ return;\n 283→ }\n 284→ } catch {\n 285→ // Fall through to hardcoded fallback\n 286→ }\n 287→\n 288→ // Fallback: use hardcoded suggestions\n 289→ const suggestion = AI_SUGGESTIONS[tradeId];\n 290→ if (suggestion) {\n 291→ setTitle(suggestion.title);\n 292→ setDescription(suggestion.description);\n 293→ setCerts(suggestion.certs);\n 294→ setRateMin(String(suggestion.rateMin));\n 295→ setRateMax(String(suggestion.rateMax));\n 296→ setRateType(suggestion.rateType);\n 297→ }\n 298→ setAiLoading(false);\n 299→ }\n 300→\n 301→ async function handlePost() {\n 302→ // Validate required fields\n 303→ if (!title || !suburb || !description.trim()) {\n 304→ toast.error(\"Please fill in the title, description, and suburb.\");\n 305→ return;\n 306→ }\n 307→\n 308→ const rateMinNum = parseFloat(rateMin);\n 309→ const rateMaxNum = parseFloat(rateMax);\n 310→\n 311→ // Validate rates are positive\n 312→ if (rateMin && rateMinNum <= 0) {\n 313→ toast.error(\"Minimum rate must be greater than $0.\");\n 314→ return;\n 315→ }\n 316→ if (rateMax && rateMaxNum <= 0) {\n 317→ toast.error(\"Maximum rate must be greater than $0.\");\n 318→ return;\n 319→ }\n 320→\n 321→ // Validate rateMin <= rateMax\n 322→ if (rateMin && rateMax && rateMinNum > rateMaxNum) {\n 323→ toast.error(\"Minimum rate cannot be greater than maximum rate.\");\n 324→ return;\n 325→ }\n 326→\n 327→ setLoading(true);\n 328→\n 329→ try {\n 330→ const { data: { user } } = await supabase.auth.getUser();\n 331→ if (!user) {\n 332→ toast.error(\"Session expired. Please log in again.\");\n 333→ router.push(\"/auth/login\");\n 334→ return;\n 335→ }\n 336→\n 337→ // Get contractor's company\n 338→ const { data: company } = await supabase\n 339→ .from(\"companies\")\n 340→ .select(\"id\")\n 341→ .eq(\"profile_id\", user.id)\n 342→ .single();\n 343→\n 344→ if (!company) {\n 345→ toast.error(\"Please complete your company profile first.\");\n 346→ setLoading(false);\n 347→ return;\n 348→ }\n 349→\n 350→ // Geocode the suburb to get lat/lng coordinates\n 351→ let location: string | null = null;\n 352→ if (suburb) {\n 353→ try {\n 354→ const geocodeRes = await csrfFetch(\"/api/geocode\", {\n 355→ method: \"POST\",\n 356→ headers: { \"Content-Type\": \"application/json\" },\n 357→ body: JSON.stringify({ suburb }),\n 358→ });\n 359→\n 360→ if (geocodeRes.ok) {\n 361→ const geocodeData = await geocodeRes.json();\n 362→ if (geocodeData.location) {\n 363→ location = jsonToPostgresPoint(geocodeData.location);\n 364→ }\n 365→ }\n 366→ } catch (geoError) {\n 367→ // Continue without location - suburb text will still be saved\n 368→ }\n 369→ }\n 370→\n 371→ // Strip phone numbers and emails to prevent platform bypass\n 372→ const sanitizedTitle = stripContactInfo(title);\n 373→ const sanitizedDescription = stripContactInfo(description);\n 374→\n 375→ const { error: insertError } = await supabase.from(\"jobs\").insert({\n 376→ company_id: company.id,\n 377→ title: sanitizedTitle,\n 378→ description: sanitizedDescription,\n 379→ trade: selectedTrade,\n 380→ suburb,\n 381→ location,\n 382→ site_address: siteAddress,\n 383→ rate_min: parseFloat(rateMin) || null,\n 384→ rate_max: parseFloat(rateMax) || parseFloat(rateMin) || null,\n 385→ rate_type: rateType,\n 386→ start_date: startDate || null,\n 387→ duration: duration || null,\n 388→ workers_needed: parseInt(workersNeeded) || 1,\n 389→ certifications_required: certs,\n 390→ status: \"active\",\n 391→ ai_generated: true,\n 392→ });\n 393→\n 394→ if (insertError) {\n 395→ toast.error(`Failed to post job: ${insertError.message}`);\n 396→ setLoading(false);\n 397→ return;\n 398→ }\n 399→\n 400→ // Record first_job_posted milestone (fire-and-forget)\n 401→ fetch('/api/success-tracking/record', {\n 402→ method: 'POST',\n 403→ headers: { 'Content-Type': 'application/json' },\n 404→ body: JSON.stringify({ milestone_type: 'first_job_posted' }),\n 405→ }).catch(() => {});\n 406→\n 407→ setStep(3); // Success (was step 5, now step 3)\n 408→ } catch (error) {\n 409→ logger.error(\"Job post error:\", error);\n 410→ toast.error(\"Something went wrong. Please try again.\");\n 411→ setLoading(false);\n 412→ }\n 413→ }\n 414→\n 415→ return (\n 416→
\n 417→
\n 418→ {/* STEP 1: Select Trade or Voice */}\n 419→ {step === 1 && (\n 420→
\n 421→ {/* Voice Input — Primary CTA */}\n 422→
\n 423→

Post a Job

\n 424→

\n 425→ Tap the mic and describe what you need\n 426→

\n 427→\n 428→ \n 439→ {voiceStarting ? (\n 440→ \n 441→ ) : voiceRecording ? (\n 442→ \n 443→ ) : (\n 444→ \n 445→ )}\n 446→ \n 447→\n 448→

\n 449→ {voiceStarting\n 450→ ? \"Starting...\"\n 451→ : voiceRecording\n 452→ ? \"Listening... tap to stop\"\n 453→ : \"\\\"I need two steelfixers in Parramatta, 45 an hour\\\"\"}\n 454→

\n 455→\n 456→ {voiceError && (\n 457→

{voiceError}

\n 458→ )}\n 459→
\n 460→\n 461→ {/* Divider */}\n 462→
\n 463→
\n 464→ or pick a trade\n 465→
\n 466→
\n 467→\n 468→ {/* Trade Selection Grid */}\n 469→
\n 470→ {TRADE_CATEGORIES.map((trade) => {\n 471→ const Icon = trade.icon;\n 472→ return (\n 473→ handleTradeSelect(trade.id)}\n 476→ className={`flex flex-col items-center justify-center gap-3 rounded-2xl border-2 p-6 min-h-[120px] text-center transition-all active:scale-95 ${trade.color}`}\n 477→ >\n 478→ \n 479→ {trade.label}\n 480→ \n 481→ );\n 482→ })}\n 483→
\n 484→
\n 485→ )}\n 486→\n 487→ {/* STEP 2: AI-filled Job Details + Location/Date/Workers (COMBINED) */}\n 488→ {step === 2 && (\n 489→
\n 490→ {aiLoading ? (\n 491→
\n 492→
\n 493→ \n 494→
\n 495→

\n 496→ {aiLoadingMessage || \"AI writing your job post...\"}\n 497→

\n 498→

\n 499→ Based on what you said and market rates\n 500→

\n 501→
\n 502→ ) : (\n 503→
\n 504→
\n 505→ \n 506→

Job Details

\n 507→
\n 508→

\n 509→ AI pre-filled these. Edit anything you like.\n 510→

\n 511→\n 512→
\n 513→ {/* Job Details Section */}\n 514→
\n 515→ \n 516→ setTitle(e.target.value)}\n 520→ className=\"mt-2 h-14 text-base\"\n 521→ />\n 522→
\n 523→\n 524→
\n 525→ \n 526→ setDescription(e.target.value)}\n 530→ rows={5}\n 531→ maxLength={5000}\n 532→ className=\"mt-2 flex w-full rounded-md border border-input bg-background px-4 py-3 text-base ring-offset-background placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50\"\n 533→ />\n 534→
\n 535→\n 536→
\n 537→ \n 538→
\n 539→
\n 540→ \n 541→ {\n 545→ setRateMin(e.target.value);\n 546→ // Keep max in sync unless user explicitly set a range\n 547→ if (!rateMax || rateMax === rateMin) {\n 548→ setRateMax(e.target.value);\n 549→ }\n 550→ }}\n 551→ placeholder=\"e.g. 60\"\n 552→ className=\"h-14 pl-10 text-base\"\n 553→ />\n 554→
\n 555→ {rateMin && rateMax && rateMin !== rateMax && (\n 556→
\n 557→ to\n 558→
\n 559→ \n 560→ setRateMax(e.target.value)}\n 564→ placeholder=\"Max\"\n 565→ className=\"h-14 pl-10 text-base\"\n 566→ />\n 567→
\n 568→ setRateMax(rateMin)}\n 573→ className=\"text-xs text-muted-foreground shrink-0\"\n 574→ >\n 575→ Use exact rate\n 576→ \n 577→
\n 578→ )}\n 579→
\n 580→
\n 581→ setRateType(\"hourly\")}\n 585→ className=\"h-12 text-base font-semibold\"\n 586→ >\n 587→ Per Hour\n 588→ \n 589→ setRateType(\"daily\")}\n 593→ className=\"h-12 text-base font-semibold\"\n 594→ >\n 595→ Per Day\n 596→ \n 597→
\n 598→
\n 599→\n 600→ {/* Location Section */}\n 601→
\n 602→

\n 603→ \n 604→ Location\n 605→

\n 606→ \n 607→
\n 608→
\n 609→ \n 610→ setSiteAddress(e.target.value)}\n 614→ placeholder=\"e.g. 123 George St, Sydney\"\n 615→ className=\"mt-2 h-14 text-base\"\n 616→ />\n 617→
\n 618→\n 619→
\n 620→ \n 621→ setSuburb(e.target.value)}\n 625→ placeholder=\"e.g. Parramatta\"\n 626→ className=\"mt-2 h-14 text-base\"\n 627→ />\n 628→
\n 629→
\n 630→
\n 631→\n 632→ {/* Date & Workers Section */}\n 633→
\n 634→

\n 635→ \n 636→ Schedule\n 637→

\n 638→ \n 639→
\n 640→
\n 641→ \n 642→ setStartDate(e.target.value)}\n 647→ className=\"mt-2 h-14 text-base\"\n 648→ />\n 649→
\n 650→\n 651→
\n 652→ \n 653→ setDuration(e.target.value)}\n 657→ placeholder=\"e.g. 2 weeks, ongoing\"\n 658→ className=\"mt-2 h-14 text-base\"\n 659→ />\n 660→
\n 661→\n 662→
\n 663→ \n 667→
\n 668→ \n 672→ setWorkersNeeded(String(Math.max(1, parseInt(workersNeeded) - 1)))\n 673→ }\n 674→ className=\"h-14 w-14 text-2xl font-bold\"\n 675→ >\n 676→ -\n 677→ \n 678→ \n 679→ {workersNeeded}\n 680→ \n 681→ \n 685→ setWorkersNeeded(String(parseInt(workersNeeded) + 1))\n 686→ }\n 687→ className=\"h-14 w-14 text-2xl font-bold\"\n 688→ >\n 689→ +\n 690→ \n 691→
\n 692→
\n 693→
\n 694→
\n 695→\n 696→ {/* Required Certifications */}\n 697→ {certs.length > 0 && (\n 698→
\n 699→ \n 700→
\n 701→ {certs.map((cert) => (\n 702→ \n 703→ {cert}\n 704→ setCerts(certs.filter((c) => c !== cert))}\n 706→ className=\"ml-2 text-muted-foreground hover:text-foreground\"\n 707→ >\n 708→ ×\n 709→ \n 710→ \n 711→ ))}\n 712→
\n 713→
\n 714→ )}\n 715→
\n 716→
\n 717→ )}\n 718→
\n 719→ )}\n 720→\n 721→ {/* STEP 3: Success */}\n 722→ {step === 3 && (\n 723→ \n 724→ \n 725→
\n 726→ \n 727→
\n 728→

Job Posted!

\n 729→

\n 730→ We're matching you with the best workers now.\n 731→ You'll get notified when we find matches.\n 732→

\n 733→
\n 734→ router.push(\"/contractor/matches\")}\n 736→ className=\"w-full h-12 text-base font-semibold\"\n 737→ >\n 738→ View Matches\n 739→ \n 740→ router.push(\"/dashboard\")}\n 742→ variant=\"outline\"\n 743→ className=\"w-full h-12 text-base\"\n 744→ >\n 745→ Back to Dashboard\n 746→ \n 747→
\n 748→ \n 749→ \n 750→ )}\n 751→
\n 752→\n 753→ {/* Sticky Bottom CTA (Step 2 only) */}\n 754→ {step === 2 && !aiLoading && (\n 755→
\n 756→
\n 757→ \n 762→ {loading ? (\n 763→ <>\n 764→ \n 765→ Posting...\n 766→ \n 767→ ) : (\n 768→ <>\n 769→ Post Job Now\n 770→ \n 771→ \n 772→ )}\n 773→ \n 774→

\n 775→ Free to post. You only pay $50 when you hire someone.\n 776→

\n 777→
\n 778→
\n 779→ )}\n 780→
\n 781→ );\n 782→}\n 783→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"c3e21fc0-88de-4894-9a5a-dd853bad9eef","timestamp":"2026-03-25T07:09:18.306Z","sourceToolAssistantUUID":"02f78710-f258-4f07-aed3-04ea3168bc96"} {"parentUuid":"c3e21fc0-88de-4894-9a5a-dd853bad9eef","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UVEwGEmvWr1sneWhTjtLTh","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check for any additional voice-related files and the voice-to-job API route:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":22038,"cache_read_input_tokens":18822,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":22038},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNvuwyqxJLNWY3FjKmz","type":"assistant","uuid":"da96fa92-4bc2-46aa-a6a9-2b49033c73a7","timestamp":"2026-03-25T07:09:20.039Z"} {"parentUuid":"da96fa92-4bc2-46aa-a6a9-2b49033c73a7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UVEwGEmvWr1sneWhTjtLTh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VLcLcEe5Nck9y7qbt4i2rf","name":"Glob","input":{"pattern":"src/app/api/ai/*voice*"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":22038,"cache_read_input_tokens":18822,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":22038},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNvuwyqxJLNWY3FjKmz","type":"assistant","uuid":"df72b2b1-7862-4ff1-b131-77759118ddef","timestamp":"2026-03-25T07:09:20.253Z"} {"parentUuid":"df72b2b1-7862-4ff1-b131-77759118ddef","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"callback"},"parentToolUseID":"toolu_01VLcLcEe5Nck9y7qbt4i2rf","toolUseID":"toolu_01VLcLcEe5Nck9y7qbt4i2rf","timestamp":"2026-03-25T07:09:20.379Z","uuid":"2bc442f4-3e33-4eac-94e8-8a7e84eecf59"} {"parentUuid":"df72b2b1-7862-4ff1-b131-77759118ddef","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VLcLcEe5Nck9y7qbt4i2rf","type":"tool_result","content":"No files found"}]},"uuid":"3d342989-ec8c-4f33-a0ea-cf05254a534c","timestamp":"2026-03-25T07:09:20.378Z","sourceToolAssistantUUID":"df72b2b1-7862-4ff1-b131-77759118ddef"} {"parentUuid":"3d342989-ec8c-4f33-a0ea-cf05254a534c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UVEwGEmvWr1sneWhTjtLTh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NGCKK5BkHwceJtf5D2P41t","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/(authenticated)/worker/profile/build/page.tsx","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":22038,"cache_read_input_tokens":18822,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":22038},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNvuwyqxJLNWY3FjKmz","type":"assistant","uuid":"8f0147d6-2f7a-4566-a26f-5e41826f18bd","timestamp":"2026-03-25T07:09:20.676Z"} {"parentUuid":"8f0147d6-2f7a-4566-a26f-5e41826f18bd","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NGCKK5BkHwceJtf5D2P41t","toolUseID":"toolu_01NGCKK5BkHwceJtf5D2P41t","timestamp":"2026-03-25T07:09:20.680Z","uuid":"f4bf8c45-e3f6-4d7b-bdc0-a7cb78c3b1a3"} {"parentUuid":"8f0147d6-2f7a-4566-a26f-5e41826f18bd","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NGCKK5BkHwceJtf5D2P41t","type":"tool_result","content":" 1→\"use client\";\n 2→\n 3→import { logger } from \"@/lib/logger\";\n 4→\n 5→// Voice Processing Optimization: \n 6→// This component now uses the consolidated /api/ai/voice-complete endpoint\n 7→// which combines transcription, parsing, and profile generation into a single call.\n 8→// This reduces the voice processing time from ~5-12 seconds to ~3-7 seconds.\n 9→// Previous flow: Whisper → Parse → Generate (3 sequential calls)\n 10→// New flow: [Whisper] + Parse/Generate (1-2 calls, parallel where possible)\n 11→\n 12→import { useState, useEffect, useCallback } from \"react\";\n 13→import { useRouter } from \"next/navigation\";\n 14→import Link from \"next/link\";\n 15→import toast from \"react-hot-toast\";\n 16→import { createClient } from \"@/lib/supabase/client\";\n 17→import { Button } from \"@/components/ui/button\";\n 18→import { Input } from \"@/components/ui/input\";\n 19→import { Label } from \"@/components/ui/label\";\n 20→import { Card, CardContent } from \"@/components/ui/card\";\n 21→import VoiceRecorder from \"@/components/VoiceRecorder\";\n 22→import { csrfFetch, addCSRFTokenToFormData, initializeCSRF } from \"@/lib/csrf-client\";\n 23→import {\n 24→ HardHat,\n 25→ ArrowLeft,\n 26→ ArrowRight,\n 27→ Loader2,\n 28→ CheckCircle2,\n 29→ Sparkles,\n 30→ MapPin,\n 31→ Clock,\n 32→ Shield,\n 33→ Edit3,\n 34→ Wrench,\n 35→ Calendar,\n 36→ Zap,\n 37→ Mic,\n 38→} from \"lucide-react\";\n 39→import { TRADES } from \"@/lib/constants\";\n 40→\n 41→type Step = \"trade\" | \"experience\" | \"location\" | \"availability\" | \"generating\" | \"review\";\n 42→\n 43→const EXPERIENCE_OPTIONS = [\n 44→ { label: \"Less than 1 year\", value: 0 },\n 45→ { label: \"1-3 years\", value: 2 },\n 46→ { label: \"3-5 years\", value: 4 },\n 47→ { label: \"5-10 years\", value: 7 },\n 48→ { label: \"10+ years\", value: 12 },\n 49→];\n 50→\n 51→const AVAILABILITY_OPTIONS = [\n 52→ { label: \"Full-time\", value: \"full-time\" as const, desc: \"Mon-Fri, regular hours\" },\n 53→ { label: \"Casual\", value: \"casual\" as const, desc: \"As needed, flexible\" },\n 54→ { label: \"Weekends\", value: \"weekends\" as const, desc: \"Saturday & Sunday\" },\n 55→ { label: \"Flexible\", value: \"flexible\" as const, desc: \"Any time, any days\" },\n 56→];\n 57→\n 58→interface ProfileData {\n 59→ trade: string;\n 60→ experience: number;\n 61→ location: string;\n 62→ availability: \"full-time\" | \"casual\" | \"weekends\" | \"flexible\";\n 63→}\n 64→\n 65→interface GeneratedProfile {\n 66→ bio: string;\n 67→ skills: string[];\n 68→ certifications: string[];\n 69→}\n 70→\n 71→function closestExperience(years: number): number {\n 72→ const values = EXPERIENCE_OPTIONS.map((o) => o.value);\n 73→ return values.reduce((prev, curr) =>\n 74→ Math.abs(curr - years) < Math.abs(prev - years) ? curr : prev\n 75→ );\n 76→}\n 77→\n 78→export default function ProfileBuildPage() {\n 79→ const [step, setStep] = useState(\"trade\");\n 80→ const [loading, setLoading] = useState(true);\n 81→ const [generating, setGenerating] = useState(false);\n 82→ const [saving, setSaving] = useState(false);\n 83→\n 84→ // Form data\n 85→ const [trade, setTrade] = useState(\"\");\n 86→ const [experience, setExperience] = useState(null);\n 87→ const [location, setLocation] = useState(\"\");\n 88→ const [availability, setAvailability] = useState(null);\n 89→\n 90→ // Generated data\n 91→ const [generatedBio, setGeneratedBio] = useState(\"\");\n 92→ const [generatedSkills, setGeneratedSkills] = useState([]);\n 93→ const [generatedCerts, setGeneratedCerts] = useState([]);\n 94→\n 95→ // Editable states\n 96→ const [editedBio, setEditedBio] = useState(\"\");\n 97→ const [editedSkills, setEditedSkills] = useState([]);\n 98→ const [editedCerts, setEditedCerts] = useState([]);\n 99→\n 100→ // Voice flow\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"64b70ab1-3ce7-4e1d-aed4-359eaf37880c","timestamp":"2026-03-25T07:09:20.680Z","sourceToolAssistantUUID":"8f0147d6-2f7a-4566-a26f-5e41826f18bd"} 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{"parentUuid":"f135ca67-c183-47a4-978a-90bb44628639","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01FR9ts4UHPYyHUoTpbBBH4V","toolUseID":"toolu_01FR9ts4UHPYyHUoTpbBBH4V","timestamp":"2026-03-25T07:09:21.353Z","uuid":"befcb656-7046-4342-94aa-b7446bdfe28f"} {"parentUuid":"f135ca67-c183-47a4-978a-90bb44628639","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FR9ts4UHPYyHUoTpbBBH4V","type":"tool_result","content":"Found 1 file\nsrc/app/(authenticated)/contractor/post-job/page.tsx"}]},"uuid":"ba8fd270-e42b-4ab0-8b20-ff7928e01c16","timestamp":"2026-03-25T07:09:21.352Z","sourceToolAssistantUUID":"f135ca67-c183-47a4-978a-90bb44628639"} {"parentUuid":"ba8fd270-e42b-4ab0-8b20-ff7928e01c16","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AFxQFF4A4jyFuqFoQwxM6i","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check if the voice-to-job route exists:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1985,"cache_read_input_tokens":40860,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1985},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNw9FvPQ28YyaU6gBvQ","type":"assistant","uuid":"c0011ce8-e0f5-4cb9-a28e-d4a1cee77fe3","timestamp":"2026-03-25T07:09:22.939Z"} {"parentUuid":"c0011ce8-e0f5-4cb9-a28e-d4a1cee77fe3","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AFxQFF4A4jyFuqFoQwxM6i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FmeNAS8VE1KobME2ahFsYh","name":"Bash","input":{"command":"find /home/ccuser/the-50-dollar-app/src/app/api -type f -name \"*.ts\" -o -name \"*.tsx\" | grep -i voice"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1985,"cache_read_input_tokens":40860,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1985},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNw9FvPQ28YyaU6gBvQ","type":"assistant","uuid":"1343a54e-d561-49b8-b8fc-fd86757b43f9","timestamp":"2026-03-25T07:09:23.571Z"} {"parentUuid":"1343a54e-d561-49b8-b8fc-fd86757b43f9","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FmeNAS8VE1KobME2ahFsYh","type":"tool_result","content":"/home/ccuser/the-50-dollar-app/src/app/api/ai/transcribe-voice/route.ts\n/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-to-job/route.ts\n/home/ccuser/the-50-dollar-app/src/app/api/ai/parse-profile-voice/route.ts\n/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-complete/route.ts","is_error":false}]},"uuid":"19e08646-658d-4fdd-9343-eb7a08b8d9dd","timestamp":"2026-03-25T07:09:23.683Z","sourceToolAssistantUUID":"1343a54e-d561-49b8-b8fc-fd86757b43f9"} {"parentUuid":"19e08646-658d-4fdd-9343-eb7a08b8d9dd","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AFxQFF4A4jyFuqFoQwxM6i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018qssj6s7mXdKPKbxNyeNwA","name":"Grep","input":{"pattern":"/api/ai/voice-to-job","path":"/home/ccuser/the-50-dollar-app/src","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1985,"cache_read_input_tokens":40860,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1985},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNw9FvPQ28YyaU6gBvQ","type":"assistant","uuid":"43ffebcf-7c2a-4533-84fd-71587d103768","timestamp":"2026-03-25T07:09:24.137Z"} {"parentUuid":"43ffebcf-7c2a-4533-84fd-71587d103768","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_018qssj6s7mXdKPKbxNyeNwA","toolUseID":"toolu_018qssj6s7mXdKPKbxNyeNwA","timestamp":"2026-03-25T07:09:24.155Z","uuid":"2154d147-3eb4-4691-89e5-17cd4da63bee"} {"parentUuid":"43ffebcf-7c2a-4533-84fd-71587d103768","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018qssj6s7mXdKPKbxNyeNwA","type":"tool_result","content":"Found 1 file\nsrc/app/(authenticated)/contractor/post-job/page.tsx"}]},"uuid":"abcd6979-cc19-478f-ba6d-c6d99ab8bcf2","timestamp":"2026-03-25T07:09:24.155Z","sourceToolAssistantUUID":"43ffebcf-7c2a-4533-84fd-71587d103768"} {"parentUuid":"abcd6979-cc19-478f-ba6d-c6d99ab8bcf2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DbsMeSBzdMxMaHH2TQQNzj","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now let me read the voice-to-job route:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":445,"cache_read_input_tokens":42845,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":445},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwLwPkXJeHPdBiUdhP","type":"assistant","uuid":"6d3f0dd8-39dc-4001-b32f-5d50a21d95c0","timestamp":"2026-03-25T07:09:25.629Z"} {"parentUuid":"6d3f0dd8-39dc-4001-b32f-5d50a21d95c0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DbsMeSBzdMxMaHH2TQQNzj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYndQKTegYv2VqUinKqxXJ","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-to-job/route.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":445,"cache_read_input_tokens":42845,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":445},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwLwPkXJeHPdBiUdhP","type":"assistant","uuid":"763ab1fb-c836-4200-b1bd-798d65b187a1","timestamp":"2026-03-25T07:09:25.668Z"} {"parentUuid":"763ab1fb-c836-4200-b1bd-798d65b187a1","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GYndQKTegYv2VqUinKqxXJ","toolUseID":"toolu_01GYndQKTegYv2VqUinKqxXJ","timestamp":"2026-03-25T07:09:25.671Z","uuid":"6fc3bd39-272c-41a8-8c36-0f7ff86615f0"} {"parentUuid":"763ab1fb-c836-4200-b1bd-798d65b187a1","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYndQKTegYv2VqUinKqxXJ","type":"tool_result","content":" 1→/**\n 2→ * Voice-to-Job Endpoint\n 3→ *\n 4→ * Consolidated endpoint for voice-based job posting:\n 5→ * 1. Whisper transcribes audio\n 6→ * 2. GPT-4o-mini extracts structured job fields from transcript\n 7→ *\n 8→ * Returns all fields needed to auto-fill the post-job form.\n 9→ */\n 10→\n 11→import { NextRequest, NextResponse } from \"next/server\";\n 12→import { logger } from \"@/lib/logger\";\n 13→import OpenAI from \"openai\";\n 14→import { createClient } from \"@/lib/supabase/server\";\n 15→import { checkRateLimit, getClientIP, createRateLimitResponse } from \"@/lib/rate-limit\";\n 16→import { sanitizeInput, stripContactInfo } from \"@/lib/sanitize\";\n 17→import { withCSRFProtection } from \"@/lib/csrf\";\n 18→import {\n 19→ AI_RATE_LIMIT,\n 20→ AI_WINDOW_MS,\n 21→ MAX_LENGTH_TRANSCRIPT,\n 22→} from \"@/lib/constants\";\n 23→\n 24→if (!process.env.OPENAI_API_KEY) {\n 25→ throw new Error(\"OPENAI_API_KEY environment variable is not set\");\n 26→}\n 27→\n 28→const openai = new OpenAI({\n 29→ apiKey: process.env.OPENAI_API_KEY,\n 30→});\n 31→\n 32→const VALID_TRADES = [\n 33→ \"steel-fixer\",\n 34→ \"formworker\",\n 35→ \"labourer\",\n 36→ \"concreter\",\n 37→ \"carpenter\",\n 38→ \"scaffolder\",\n 39→ \"other\",\n 40→];\n 41→\n 42→const handler = async (request: NextRequest) => {\n 43→ try {\n 44→ const clientIP = getClientIP(request);\n 45→ const rateLimit = await checkRateLimit(`ai-voice-job:${clientIP}`, AI_RATE_LIMIT, AI_WINDOW_MS);\n 46→\n 47→ if (!rateLimit.allowed) {\n 48→ const retryAfter = Math.ceil((rateLimit.resetTime - Date.now()) / 1000);\n 49→ return createRateLimitResponse(clientIP, retryAfter);\n 50→ }\n 51→\n 52→ const supabase = await createClient();\n 53→ const { data: { user }, error: authError } = await supabase.auth.getUser();\n 54→ if (authError || !user) {\n 55→ return NextResponse.json({ error: \"Unauthorized\" }, { status: 401 });\n 56→ }\n 57→\n 58→ // Parse multipart form data with audio file\n 59→ const contentType = request.headers.get(\"content-type\") || \"\";\n 60→\n 61→ let audioFile: File | null = null;\n 62→ let existingTranscript: string | null = null;\n 63→\n 64→ if (contentType.includes(\"multipart/form-data\")) {\n 65→ const formData = await request.formData();\n 66→ audioFile = formData.get(\"audio\") as File | null;\n 67→ existingTranscript = formData.get(\"transcript\") as string | null;\n 68→ } else {\n 69→ const body = await request.json();\n 70→ existingTranscript = body.transcript;\n 71→ }\n 72→\n 73→ if (!audioFile && !existingTranscript) {\n 74→ return NextResponse.json(\n 75→ { error: \"No audio file or transcript provided\" },\n 76→ { status: 400 }\n 77→ );\n 78→ }\n 79→\n 80→ // Step 1: Transcribe audio\n 81→ let transcript: string;\n 82→\n 83→ if (audioFile) {\n 84→ try {\n 85→ const transcription = await openai.audio.transcriptions.create({\n 86→ file: audioFile,\n 87→ model: \"whisper-1\",\n 88→ language: \"en\",\n 89→ });\n 90→ transcript = transcription.text;\n 91→ } catch (error) {\n 92→ logger.error(\"Voice-to-job transcription error:\", error);\n 93→ return NextResponse.json(\n 94→ { error: \"Failed to transcribe audio\" },\n 95→ { status: 500 }\n 96→ );\n 97→ }\n 98→ } else {\n 99→ transcript = existingTranscript!;\n 100→ }\n 101→\n 102→ if (!transcript.trim()) {\n 103→ return NextResponse.json(\n 104→ { error: \"No speech detected in audio\" },\n 105→ { status: 400 }\n 106→ );\n 107→ }\n 108→\n 109→ const sanitizedTranscript = sanitizeInput(transcript, { maxLength: MAX_LENGTH_TRANSCRIPT });\n 110→\n 111→ // Step 2: Extract structured job data from transcript\n 112→ try {\n 113→ const completion = await openai.chat.completions.create({\n 114→ model: \"gpt-4o-mini\",\n 115→ messages: [\n 116→ {\n 117→ role: \"system\",\n 118→ content: `You are an Australian construction industry expert helping contractors post jobs quickly from voice input.\n 119→\n 120→Extract structured job posting data from the contractor's spoken description. Use Australian English.\n 121→\n 122→Valid trade IDs: ${VALID_TRADES.join(\", \")}\n 123→\n 124→Trade matching guide:\n 125→- \"steelfixer\" / \"steel fixer\" / \"reo\" / \"rebar\" → \"steel-fixer\"\n 126→- \"formworker\" / \"formwork\" / \"shuttering\" / \"shutter hand\" → \"formworker\"\n 127→- \"labourer\" / \"laborer\" / \"general hand\" / \"offsider\" → \"labourer\"\n 128→- \"concreter\" / \"concrete\" / \"slab\" → \"concreter\"\n 129→- \"carpenter\" / \"chippie\" / \"chippy\" → \"carpenter\"\n 130→- \"scaffolder\" / \"scaffold\" → \"scaffolder\"\n 131→- Anything else → \"other\"\n 132→\n 133→Return ONLY valid JSON in this exact format:\n 134→{\n 135→ \"trade\": \"one of the valid trade IDs\",\n 136→ \"title\": \"concise job title (e.g. 'Steel Fixers Needed for High-Rise')\",\n 137→ \"description\": \"3-4 sentence professional job description incorporating details from the voice input. Mention key duties, site expectations, PPE requirements. Use Australian English.\",\n 138→ \"certifications\": [\"array of required certs — always include 'White Card', add others as appropriate\"],\n 139→ \"rateMin\": number or null (minimum hourly/daily rate in AUD if mentioned),\n 140→ \"rateMax\": number or null (maximum hourly/daily rate in AUD if mentioned),\n 141→ \"rateType\": \"hourly\" or \"daily\" (default \"hourly\"),\n 142→ \"suburb\": \"suburb or area name if mentioned, or null\",\n 143→ \"siteAddress\": \"full site address if mentioned, or null\",\n 144→ \"startDate\": \"ISO date string (YYYY-MM-DD) if a start date is mentioned, or null. Convert relative dates like 'next Monday' based on today being ${new Date().toISOString().split(\"T\")[0]}.\",\n 145→ \"duration\": \"duration string if mentioned (e.g. '2 weeks', 'ongoing'), or null\",\n 146→ \"workersNeeded\": number (default 1, extract from voice if mentioned)\n 147→}\n 148→\n 149→Important:\n 150→- If a rate like \"45 bucks an hour\" is mentioned, set rateMin to that value and rateMax to rateMin + 10.\n 151→- If a daily rate is mentioned (e.g. \"$400 a day\"), set rateType to \"daily\".\n 152→- Always generate a professional title and description even if the voice input is casual.\n 153→- Capture ALL details mentioned — location, timing, number of workers, rates, specific requirements.`,\n 154→ },\n 155→ {\n 156→ role: \"user\",\n 157→ content: sanitizedTranscript,\n 158→ },\n 159→ ],\n 160→ temperature: 0.3,\n 161→ response_format: { type: \"json_object\" },\n 162→ });\n 163→\n 164→ const content = completion.choices[0]?.message?.content;\n 165→ if (!content) {\n 166→ throw new Error(\"No response from AI\");\n 167→ }\n 168→\n 169→ const generated = JSON.parse(content);\n 170→\n 171→ // Validate trade\n 172→ const trade = VALID_TRADES.includes(generated.trade) ? generated.trade : \"other\";\n 173→\n 174→ // Validate and clamp rates\n 175→ const MIN_RATE = 25;\n 176→ const MAX_RATE = 500;\n 177→ let rateMin = typeof generated.rateMin === \"number\" ? generated.rateMin : null;\n 178→ let rateMax = typeof generated.rateMax === \"number\" ? generated.rateMax : null;\n 179→\n 180→ if (rateMin !== null) {\n 181→ rateMin = Math.max(MIN_RATE, Math.min(rateMin, MAX_RATE));\n 182→ }\n 183→ if (rateMax !== null) {\n 184→ rateMax = Math.max(MIN_RATE, Math.min(rateMax, MAX_RATE));\n 185→ }\n 186→ if (rateMin !== null && rateMax !== null && rateMax < rateMin) {\n 187→ [rateMin, rateMax] = [rateMax, rateMin];\n 188→ }\n 189→\n 190→ // Validate workersNeeded\n 191→ const workersNeeded = typeof generated.workersNeeded === \"number\" && generated.workersNeeded >= 1\n 192→ ? Math.min(Math.round(generated.workersNeeded), 50)\n 193→ : 1;\n 194→\n 195→ return NextResponse.json({\n 196→ transcript: sanitizedTranscript,\n 197→ trade,\n 198→ title: stripContactInfo(generated.title || \"\"),\n 199→ description: stripContactInfo(generated.description || \"\"),\n 200→ certifications: Array.isArray(generated.certifications) ? generated.certifications : [\"White Card\"],\n 201→ rateMin,\n 202→ rateMax,\n 203→ rateType: generated.rateType === \"daily\" ? \"daily\" : \"hourly\",\n 204→ suburb: generated.suburb || null,\n 205→ siteAddress: generated.siteAddress || null,\n 206→ startDate: generated.startDate || null,\n 207→ duration: generated.duration || null,\n 208→ workersNeeded,\n 209→ });\n 210→ } catch (error) {\n 211→ logger.error(\"Voice-to-job AI processing error:\", error);\n 212→\n 213→ // Return transcript so user can still use manual entry\n 214→ return NextResponse.json({\n 215→ transcript: sanitizedTranscript,\n 216→ error: \"AI processing failed. Please fill in the details manually.\",\n 217→ fallback: true,\n 218→ });\n 219→ }\n 220→ } catch (error) {\n 221→ logger.error(\"Voice-to-job error:\", error);\n 222→\n 223→ if (error instanceof Error) {\n 224→ if (error.message.includes(\"API key\")) {\n 225→ return NextResponse.json({ error: \"AI service configuration error\" }, { status: 503 });\n 226→ }\n 227→ if (error.message.includes(\"rate limit\") || error.message.includes(\"429\")) {\n 228→ return NextResponse.json({ error: \"AI service is busy. Please try again.\" }, { status: 429 });\n 229→ }\n 230→ }\n 231→\n 232→ return NextResponse.json(\n 233→ { error: \"Failed to process voice input. Please try again.\" },\n 234→ { status: 500 }\n 235→ );\n 236→ }\n 237→};\n 238→\n 239→export const POST = withCSRFProtection(handler);\n 240→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"884a098b-9aba-43d2-b282-29942da4feed","timestamp":"2026-03-25T07:09:25.671Z","sourceToolAssistantUUID":"763ab1fb-c836-4200-b1bd-798d65b187a1"} {"parentUuid":"884a098b-9aba-43d2-b282-29942da4feed","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014uYMuawxMvcTn4DuxBfvGm","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Let me now check the analysis files that were mentioned in the glob results:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3537,"cache_read_input_tokens":43290,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3537},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwTVXyk8zEGSUiNeNS","type":"assistant","uuid":"e4a3a8e9-a5e8-44c9-880f-23e8e6a44de3","timestamp":"2026-03-25T07:09:27.238Z"} {"parentUuid":"e4a3a8e9-a5e8-44c9-880f-23e8e6a44de3","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014uYMuawxMvcTn4DuxBfvGm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RNCE7nsD4qx3zcqZypwwM2","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/voice-processing-analysis.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3537,"cache_read_input_tokens":43290,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3537},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwTVXyk8zEGSUiNeNS","type":"assistant","uuid":"6b828f56-f208-44dd-9e23-7ffd7fe7ce81","timestamp":"2026-03-25T07:09:27.718Z"} {"parentUuid":"6b828f56-f208-44dd-9e23-7ffd7fe7ce81","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RNCE7nsD4qx3zcqZypwwM2","toolUseID":"toolu_01RNCE7nsD4qx3zcqZypwwM2","timestamp":"2026-03-25T07:09:27.721Z","uuid":"bcc6f1db-046d-44bc-ab3b-7fd70985e92e"} {"parentUuid":"6b828f56-f208-44dd-9e23-7ffd7fe7ce81","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RNCE7nsD4qx3zcqZypwwM2","type":"tool_result","content":" 1→# Voice Processing Flow Analysis - RateRight App\n 2→\n 3→## Current Flow Analysis\n 4→\n 5→### Sequential API Call Chain\n 6→The voice processing flow currently makes **3 sequential API calls**:\n 7→\n 8→1. **Transcription** (`/api/ai/transcribe-voice`)\n 9→ - Uses OpenAI Whisper API\n 10→ - Takes audio blob → returns text transcript\n 11→ - Network + Whisper processing time: ~2-5 seconds\n 12→\n 13→2. **Profile Parsing** (`/api/ai/parse-profile-voice`) \n 14→ - Uses OpenAI GPT-4o-mini\n 15→ - Takes transcript → returns structured profile data\n 16→ - Network + GPT processing time: ~1-3 seconds\n 17→\n 18→3. **Profile Generation** (`/api/ai/generate-profile`)\n 19→ - Uses OpenAI GPT-4o-mini \n 20→ - Takes structured data + transcript → returns bio/skills/certs\n 21→ - Network + GPT processing time: ~2-4 seconds\n 22→\n 23→**Total sequential time: ~5-12 seconds** (plus network overhead)\n 24→\n 25→### Code Flow Location\n 26→The sequential calls happen in:\n 27→- File: `/src/app/(authenticated)/worker/profile/build/page.tsx`\n 28→- Function: `handleVoiceComplete()` (lines 158-250)\n 29→- Current implementation: Each call waits for the previous to complete\n 30→\n 31→## Identified Issues\n 32→\n 33→### 1. Sequential Dependencies\n 34→- Profile parsing must wait for transcription\n 35→- Profile generation must wait for parsing\n 36→- No parallelization possible due to data dependencies\n 37→\n 38→### 2. Redundant Processing\n 39→- The transcript is sent to both parsing AND generation endpoints\n 40→- Generation endpoint re-processes the same transcript data\n 41→\n 42→### 3. Network Overhead\n 43→- 3 separate HTTP requests with associated latency\n 44→- JSON serialization/deserialization overhead\n 45→\n 46→### 4. Error Handling Gaps\n 47→- If parsing fails, user loses all voice data\n 48→- No retry mechanism for failed calls\n 49→- Transcript is lost if subsequent calls fail\n 50→\n 51→## Optimization Opportunities\n 52→\n 53→### 1. API Consolidation (High Impact)\n 54→**Combine parsing + generation into single call**\n 55→- Merge `/api/ai/parse-profile-voice` + `/api/ai/generate-profile`\n 56→- Single GPT call can handle both parsing and generation\n 57→- **Estimated improvement: ~30-50% faster**\n 58→\n 59→### 2. Streaming Response (Medium Impact)\n 60→**Implement streaming for real-time feedback**\n 61→- Stream transcription progress\n 62→- Stream generation progress \n 63→- Better UX with perceived performance\n 64→\n 65→### 3. Intelligent Caching (Medium Impact)\n 66→**Cache successful transcription results**\n 67→- Store transcript hash → parsed data mapping\n 68→- Avoid re-parsing similar voice inputs\n 69→- Redis/memory cache for 24 hours\n 70→\n 71→### 4. Async Queue Processing (Low-Medium Impact)\n 72→**Queue expensive generation operations**\n 73→- Return immediately with \"processing\" status\n 74→- WebSocket/polling for completion\n 75→- Better for poor network conditions\n 76→\n 77→### 5. Fallback Strategy (High Impact)\n 78→**Graceful degradation on failures**\n 79→- If generation fails, allow manual form completion with transcript\n 80→- If parsing fails, show transcript for manual entry\n 81→- Preserve user data across failures\n 82→\n 83→## Recommended Implementation Plan\n 84→\n 85→### Phase 1: API Consolidation (Immediate)\n 86→1. Create new endpoint: `/api/ai/voice-complete`\n 87→2. Merge parsing + generation logic\n 88→3. Update frontend to use new endpoint\n 89→4. Maintain backward compatibility\n 90→\n 91→### Phase 2: Enhanced Error Handling (Immediate)\n 92→1. Add transcript preservation on failures\n 93→2. Implement fallback to manual entry\n 94→3. Add retry mechanisms with exponential backoff\n 95→\n 96→### Phase 3: Performance Monitoring (Short-term)\n 97→1. Add timing metrics to each step\n 98→2. Implement performance logging\n 99→3. Set up alerts for slow operations\n 100→\n 101→### Phase 4: Streaming Implementation (Medium-term)\n 102→1. Implement SSE (Server-Sent Events) for progress updates\n 103→2. Add streaming support to OpenAI calls\n 104→3. Update UI for real-time feedback\n 105→\n 106→## Expected Performance Improvements\n 107→\n 108→- **Phase 1**: 30-50% reduction in total time (~3.5-7 seconds)\n 109→- **Phase 2**: Better user experience, reduced abandonment\n 110→- **Phase 3**: Data-driven optimization opportunities\n 111→- **Phase 4**: Perceived performance improvement, better UX\n 112→\n 113→## Risk Assessment\n 114→\n 115→### Low Risk\n 116→- API consolidation (maintains same logic)\n 117→- Error handling improvements\n 118→- Performance monitoring\n 119→\n 120→### Medium Risk \n 121→- Streaming implementation (requires UI changes)\n 122→- Caching layer (requires infrastructure)\n 123→\n 124→### High Risk\n 125→- Major architectural changes (async queues)\n 126→\n 127→## Next Steps\n 128→\n 129→1. Implement Phase 1 (API consolidation) - can be done immediately\n 130→2. Add comprehensive error handling\n 131→3. Deploy and measure performance improvements\n 132→4. Plan Phase 2+ based on results and user feedback\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"0bb137f3-0723-45af-9008-d04ab54c6e20","timestamp":"2026-03-25T07:09:27.721Z","sourceToolAssistantUUID":"6b828f56-f208-44dd-9e23-7ffd7fe7ce81"} {"parentUuid":"0bb137f3-0723-45af-9008-d04ab54c6e20","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014uYMuawxMvcTn4DuxBfvGm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RQCxN9neF6ofYEy9kPq6V9","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/voice-optimization-summary.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3537,"cache_read_input_tokens":43290,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3537},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwTVXyk8zEGSUiNeNS","type":"assistant","uuid":"5b9e452c-ab0c-41b4-bded-9abffc57e040","timestamp":"2026-03-25T07:09:27.767Z"} {"parentUuid":"5b9e452c-ab0c-41b4-bded-9abffc57e040","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RQCxN9neF6ofYEy9kPq6V9","toolUseID":"toolu_01RQCxN9neF6ofYEy9kPq6V9","timestamp":"2026-03-25T07:09:27.774Z","uuid":"8716b8e4-4168-4668-815c-d7daa0b21d2e"} {"parentUuid":"5b9e452c-ab0c-41b4-bded-9abffc57e040","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RQCxN9neF6ofYEy9kPq6V9","type":"tool_result","content":" 1→# Voice Processing Optimization - Implementation Summary\n 2→\n 3→## Changes Made\n 4→\n 5→### 1. New Consolidated API Endpoint\n 6→**File:** `/src/app/api/ai/voice-complete/route.ts`\n 7→\n 8→**Features:**\n 9→- Single endpoint that handles transcription + parsing + profile generation\n 10→- Supports both audio file upload and existing transcript input\n 11→- Comprehensive error handling with fallback to manual completion\n 12→- Performance monitoring with timing data\n 13→- Maintains CSRF protection and rate limiting\n 14→\n 15→**Key Optimizations:**\n 16→- Merged 2 GPT-4o-mini calls into 1 (parsing + generation)\n 17→- Reduced network overhead from 3 HTTP requests to 1\n 18→- Parallel processing where possible (transcription + AI processing)\n 19→\n 20→### 2. Frontend Updates\n 21→**File:** `/src/app/(authenticated)/worker/profile/build/page.tsx`\n 22→\n 23→**Changes:**\n 24→- Updated `handleVoiceComplete()` to use new consolidated endpoint\n 25→- Added support for receiving generated profile data directly\n 26→- Enhanced error handling with fallback to manual entry\n 27→- Added progress indicators and user feedback\n 28→- Preserves transcript data across failures\n 29→\n 30→### 3. Performance Improvements\n 31→\n 32→**Before Optimization:**\n 33→```\n 34→Sequential Flow: 5-12 seconds total\n 35→├── Transcription (Whisper): 2-5 seconds\n 36→├── Parsing (GPT-4o-mini): 1-3 seconds \n 37→└── Generation (GPT-4o-mini): 2-4 seconds\n 38→```\n 39→\n 40→**After Optimization:**\n 41→```\n 42→Consolidated Flow: 3-7 seconds total\n 43→├── [Transcription (Whisper)]: 2-5 seconds (if audio provided)\n 44→└── Parse+Generate (GPT-4o-mini): 1-2 seconds\n 45→```\n 46→\n 47→**Expected Improvement: 30-50% faster processing**\n 48→\n 49→## Enhanced Error Handling\n 50→\n 51→### Fallback Mechanisms\n 52→1. **AI Processing Failure**: Returns transcript for manual completion\n 53→2. **Network Issues**: Preserves user data for retry\n 54→3. **Rate Limiting**: Clear error messages with retry guidance\n 55→4. **Audio Issues**: Specific error messages for different failure modes\n 56→\n 57→### User Experience Improvements\n 58→- Better progress indicators during processing\n 59→- Clear error messages with actionable next steps\n 60→- Option to complete profile manually if AI fails\n 61→- Preserved voice data across failures\n 62→\n 63→## API Changes\n 64→\n 65→### New Endpoint\n 66→```\n 67→POST /api/ai/voice-complete\n 68→Content-Type: multipart/form-data or application/json\n 69→\n 70→Request (FormData):\n 71→- audio: File (optional if transcript provided)\n 72→- transcript: string (optional if audio provided)\n 73→\n 74→Request (JSON):\n 75→{\n 76→ \"transcript\": \"I'm a chippie with 8 years experience...\"\n 77→}\n 78→\n 79→Response:\n 80→{\n 81→ \"transcript\": \"processed text\",\n 82→ \"parsed_data\": { /* structured profile data */ },\n 83→ \"generated_profile\": { /* bio, skills, certifications */ },\n 84→ \"error?\": \"error message if failed\",\n 85→ \"fallback?\": true if AI processing failed,\n 86→ \"timing\": { \"had_audio\": boolean, \"processing_complete\": boolean }\n 87→}\n 88→```\n 89→\n 90→### Backward Compatibility\n 91→- Existing endpoints remain functional\n 92→- Gradual migration path for other parts of the app\n 93→- No breaking changes to existing APIs\n 94→\n 95→## Testing Strategy\n 96→\n 97→### Manual Testing Checklist\n 98→- [ ] Audio file upload with complete profile data\n 99→- [ ] Transcript-only processing\n 100→- [ ] Partial data extraction (missing fields)\n 101→- [ ] AI processing failure fallback\n 102→- [ ] Rate limiting behavior\n 103→- [ ] Network error handling\n 104→- [ ] Large audio file handling\n 105→\n 106→### Performance Monitoring\n 107→- Added timing data to response for performance tracking\n 108→- Error logging for failure analysis\n 109→- Rate limit tracking per endpoint\n 110→\n 111→## Next Steps\n 112→\n 113→### Immediate\n 114→1. Deploy the new endpoint\n 115→2. Monitor performance metrics\n 116→3. Collect user feedback on speed improvements\n 117→\n 118→### Future Enhancements\n 119→1. **Streaming Response**: Implement SSE for real-time progress updates\n 120→2. **Caching Layer**: Cache successful parsing results for similar transcripts\n 121→3. **Audio Optimization**: Compress audio before upload to reduce upload time\n 122→4. **Smart Retry**: Implement exponential backoff for failed requests\n 123→\n 124→### Monitoring\n 125→- Track average processing times\n 126→- Monitor error rates and types\n 127→- Measure user completion rates\n 128→- Analyze fallback usage\n 129→\n 130→## Risk Mitigation\n 131→\n 132→### Low Risk Changes\n 133→- ✅ New endpoint doesn't affect existing functionality\n 134→- ✅ Comprehensive error handling with fallbacks\n 135→- ✅ Maintains all security measures (CSRF, rate limiting)\n 136→\n 137→### Monitoring Points\n 138→- OpenAI API usage and costs\n 139→- Error rates on new endpoint\n 140→- User completion rates vs. old flow\n 141→- Performance metrics comparison\n 142→\n 143→## Conclusion\n 144→\n 145→This optimization successfully addresses the sequential API call bottleneck by:\n 146→1. Consolidating 3 API calls into 1-2 calls\n 147→2. Reducing total processing time by 30-50%\n 148→3. Improving error handling and user experience\n 149→4. Maintaining backward compatibility\n 150→\n 151→The implementation provides a solid foundation for future voice processing enhancements while delivering immediate performance improvements to users.\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"48d72559-78a8-4f98-a509-a4c714902db5","timestamp":"2026-03-25T07:09:27.774Z","sourceToolAssistantUUID":"5b9e452c-ab0c-41b4-bded-9abffc57e040"} {"parentUuid":"48d72559-78a8-4f98-a509-a4c714902db5","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AcsQ4B9x7FagQKjhLXgiQn","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now let me verify the error handling for the \"Voice processing failed\" toast by checking the exact message used:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3580,"cache_read_input_tokens":46827,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3580},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwcR4Tc3zrCGxyoZGW","type":"assistant","uuid":"688b1360-526c-4741-9ada-2881b962816c","timestamp":"2026-03-25T07:09:29.697Z"} {"parentUuid":"688b1360-526c-4741-9ada-2881b962816c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AcsQ4B9x7FagQKjhLXgiQn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M6ak3La3hc88KGDQUmJXN3","name":"Grep","input":{"pattern":"Voice processing failed","path":"/home/ccuser/the-50-dollar-app/src","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":3580,"cache_read_input_tokens":46827,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3580},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwcR4Tc3zrCGxyoZGW","type":"assistant","uuid":"3baae2df-7bff-4423-9973-9c0f8efc4a1c","timestamp":"2026-03-25T07:09:30.055Z"} {"parentUuid":"3baae2df-7bff-4423-9973-9c0f8efc4a1c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01M6ak3La3hc88KGDQUmJXN3","toolUseID":"toolu_01M6ak3La3hc88KGDQUmJXN3","timestamp":"2026-03-25T07:09:30.073Z","uuid":"238c34ac-47ad-421f-95f9-a130f54b23e5"} {"parentUuid":"3baae2df-7bff-4423-9973-9c0f8efc4a1c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M6ak3La3hc88KGDQUmJXN3","type":"tool_result","content":"src/app/(authenticated)/contractor/post-job/page.tsx:252: toast.error(\"Voice processing failed. Try again or type your job details.\");"}]},"uuid":"f2f8660d-636f-4285-98cf-19a15d2b44d0","timestamp":"2026-03-25T07:09:30.073Z","sourceToolAssistantUUID":"3baae2df-7bff-4423-9973-9c0f8efc4a1c"} {"parentUuid":"f2f8660d-636f-4285-98cf-19a15d2b44d0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CmK4xqLPbrdrhxJrZ64xAA","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent! Now let me create a comprehensive summary. Let me also check the service worker for any voice-related code:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":317,"cache_read_input_tokens":50407,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":317},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwnCvE9pWJkXSBVJi2","type":"assistant","uuid":"f389b348-988e-4bac-a493-8b72d5635348","timestamp":"2026-03-25T07:09:31.335Z"} {"parentUuid":"f389b348-988e-4bac-a493-8b72d5635348","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CmK4xqLPbrdrhxJrZ64xAA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QeUFpZUZX4wAeUn6ge2gzk","name":"Bash","input":{"command":"find /home/ccuser/the-50-dollar-app/public -name \"*sw*\" -o -name \"*worker*\" -o -name \"*service*\" 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":317,"cache_read_input_tokens":50407,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":317},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwnCvE9pWJkXSBVJi2","type":"assistant","uuid":"2d449969-e4aa-4920-9491-47a936cb1556","timestamp":"2026-03-25T07:09:31.772Z"} {"parentUuid":"2d449969-e4aa-4920-9491-47a936cb1556","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CmK4xqLPbrdrhxJrZ64xAA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HzvCeGKvjYXHzsr2ahNuvM","name":"Bash","input":{"command":"ls -la /home/ccuser/the-50-dollar-app/public/"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":317,"cache_read_input_tokens":50407,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":317},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwnCvE9pWJkXSBVJi2","type":"assistant","uuid":"5c3e1925-b6f6-4820-a865-f373c34bcd30","timestamp":"2026-03-25T07:09:31.898Z"} {"parentUuid":"5c3e1925-b6f6-4820-a865-f373c34bcd30","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HzvCeGKvjYXHzsr2ahNuvM","type":"tool_result","content":"total 1420\ndrwxrwxr-x 4 ccuser ccuser 4096 Feb 26 05:35 .\ndrwxrwxr-x 15 ccuser ccuser 4096 Mar 12 08:16 ..\n-rw-r--r-- 1 ccuser ccuser 10984 Feb 16 08:14 apple-touch-icon.png\n-rw-rw-r-- 1 ccuser ccuser 297 Feb 8 11:18 apple-touch-icon.svg\n-rw-rw-r-- 1 ccuser ccuser 714 Feb 16 08:14 favicon-16x16.png\n-rw-rw-r-- 1 ccuser ccuser 1823 Feb 16 08:14 favicon-32x32.png\n-rw-rw-r-- 1 ccuser ccuser 1823 Feb 16 08:14 favicon.ico\n-rw-rw-r-- 1 ccuser ccuser 391 Feb 8 11:18 file.svg\n-rw-rw-r-- 1 ccuser ccuser 1035 Feb 8 11:18 globe.svg\n-rw-rw-r-- 1 ccuser ccuser 888627 Feb 8 11:18 hero-image.png\n-rw-rw-r-- 1 ccuser ccuser 8777 Feb 16 08:14 icon-144x144.png\n-rw-r--r-- 1 root root 714 Feb 16 08:14 icon-16x16.png\n-rw-r--r-- 1 ccuser ccuser 42069 Feb 9 03:29 icon-192.png\n-rw-r--r-- 1 root root 11957 Feb 16 08:14 icon-192x192.png\n-rw-rw-r-- 1 ccuser ccuser 297 Feb 8 11:18 icon-192x192.svg\n-rw-r--r-- 1 root root 1823 Feb 16 08:14 icon-32x32.png\n-rw-r--r-- 1 ccuser ccuser 2837 Feb 16 08:14 icon-48x48.png\n-rw-r--r-- 1 ccuser ccuser 289643 Feb 9 03:29 icon-512.png\n-rw-r--r-- 1 root root 34706 Feb 16 08:14 icon-512x512.png\n-rw-rw-r-- 1 ccuser ccuser 299 Feb 8 11:18 icon-512x512.svg\n-rw-r--r-- 1 ccuser ccuser 4249 Feb 16 08:14 icon-72x72.png\n-rw-r--r-- 1 ccuser ccuser 5730 Feb 16 08:14 icon-96x96.png\n-rw-r--r-- 1 ccuser ccuser 32374 Feb 16 08:14 icon-maskable.png\n-rw-rw-r-- 1 ccuser ccuser 6195 Feb 8 11:18 logo_black.svg\n-rw-rw-r-- 1 ccuser ccuser 6351 Feb 8 11:18 logo_white.svg\ndrwxr-xr-x 2 root root 4096 Feb 15 20:35 logos\n-rw-rw-r-- 1 ccuser ccuser 1045 Feb 16 08:14 manifest.json\n-rw-rw-r-- 1 ccuser ccuser 1375 Feb 8 11:18 next.svg\n-rw-rw-r-- 1 ccuser ccuser 3637 Feb 8 11:18 pwa-test.html\ndrwxr-xr-x 2 root root 4096 Feb 26 05:35 qr\n-rw-rw-r-- 1 ccuser ccuser 187 Feb 9 04:01 register-sw.js\n-rw-rw-r-- 1 ccuser ccuser 2629 Feb 14 14:38 sw.js\n-rw-rw-r-- 1 ccuser ccuser 128 Feb 8 11:18 vercel.svg\n-rw-rw-r-- 1 ccuser ccuser 385 Feb 8 11:18 window.svg","is_error":false}]},"uuid":"45cfcaec-0b5d-41e2-b0af-231240563fcc","timestamp":"2026-03-25T07:09:31.937Z","sourceToolAssistantUUID":"5c3e1925-b6f6-4820-a865-f373c34bcd30"} {"parentUuid":"2d449969-e4aa-4920-9491-47a936cb1556","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QeUFpZUZX4wAeUn6ge2gzk","type":"tool_result","content":"/home/ccuser/the-50-dollar-app/public/sw.js\n/home/ccuser/the-50-dollar-app/public/qr/hostel-jolly-swagman-backpackers-sydney.png\n/home/ccuser/the-50-dollar-app/public/register-sw.js","is_error":false}]},"uuid":"049d5f13-556b-4149-a7ac-afc5e9b01437","timestamp":"2026-03-25T07:09:32.710Z","sourceToolAssistantUUID":"2d449969-e4aa-4920-9491-47a936cb1556"} {"parentUuid":"049d5f13-556b-4149-a7ac-afc5e9b01437","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JfcooCiBw94XyVp6SZLFhx","type":"message","role":"assistant","content":[{"type":"text","text":"Let me quickly check the service workers:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1163,"cache_creation_input_tokens":326,"cache_read_input_tokens":50724,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":326},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwyVpxJQNzQfjG2U9v","type":"assistant","uuid":"4f84c01f-7e55-47c2-8b0a-cea88dd60d91","timestamp":"2026-03-25T07:09:33.705Z"} {"parentUuid":"4f84c01f-7e55-47c2-8b0a-cea88dd60d91","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JfcooCiBw94XyVp6SZLFhx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017nzh6yHgTh5jfJivVXkE6o","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/public/sw.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1163,"cache_creation_input_tokens":326,"cache_read_input_tokens":50724,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":326},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwyVpxJQNzQfjG2U9v","type":"assistant","uuid":"08a54673-546a-40ad-b300-aba35f93ce43","timestamp":"2026-03-25T07:09:34.142Z"} {"parentUuid":"08a54673-546a-40ad-b300-aba35f93ce43","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_017nzh6yHgTh5jfJivVXkE6o","toolUseID":"toolu_017nzh6yHgTh5jfJivVXkE6o","timestamp":"2026-03-25T07:09:34.146Z","uuid":"a057c281-b299-4248-9308-940f6ef47bfc"} {"parentUuid":"08a54673-546a-40ad-b300-aba35f93ce43","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017nzh6yHgTh5jfJivVXkE6o","type":"tool_result","content":" 1→// RateRight PWA Service Worker\n 2→// Network-first for pages/API, cache-first only for static assets\n 3→\n 4→const CACHE_NAME = 'rateright-v2';\n 5→const STATIC_CACHE = 'rateright-static-v2';\n 6→\n 7→const STATIC_ASSETS = [\n 8→ '/offline',\n 9→ '/logo_black.svg',\n 10→ '/favicon.ico',\n 11→];\n 12→\n 13→// Install — cache only truly static assets, take over immediately\n 14→self.addEventListener('install', (event) => {\n 15→ event.waitUntil(\n 16→ caches.open(STATIC_CACHE)\n 17→ .then((cache) => cache.addAll(STATIC_ASSETS))\n 18→ .then(() => self.skipWaiting())\n 19→ );\n 20→});\n 21→\n 22→// Activate — purge ALL old caches, claim clients immediately\n 23→self.addEventListener('activate', (event) => {\n 24→ event.waitUntil(\n 25→ caches.keys().then((cacheNames) => {\n 26→ return Promise.all(\n 27→ cacheNames.map((name) => {\n 28→ if (name !== CACHE_NAME && name !== STATIC_CACHE) {\n 29→ return caches.delete(name);\n 30→ }\n 31→ })\n 32→ );\n 33→ }).then(() => self.clients.claim())\n 34→ );\n 35→});\n 36→\n 37→// Fetch — network-first for everything except static assets\n 38→self.addEventListener('fetch', (event) => {\n 39→ const url = new URL(event.request.url);\n 40→\n 41→ // Skip non-GET requests\n 42→ if (event.request.method !== 'GET') return;\n 43→\n 44→ // Skip API calls, auth callbacks, and _next/webpack — let them go straight to network\n 45→ if (url.pathname.startsWith('/api/') || \n 46→ url.pathname.startsWith('/auth/') ||\n 47→ url.pathname.includes('_next/webpack')) {\n 48→ return;\n 49→ }\n 50→\n 51→ // Static assets (images, fonts) — cache-first\n 52→ if (url.pathname.match(/\\.(svg|png|jpg|jpeg|gif|webp|ico|woff2?)$/)) {\n 53→ event.respondWith(\n 54→ caches.match(event.request).then((cached) => {\n 55→ return cached || fetch(event.request).then((response) => {\n 56→ if (response.ok) {\n 57→ const clone = response.clone();\n 58→ caches.open(STATIC_CACHE).then((cache) => cache.put(event.request, clone));\n 59→ }\n 60→ return response;\n 61→ });\n 62→ })\n 63→ );\n 64→ return;\n 65→ }\n 66→\n 67→ // Everything else (pages, JS chunks) — NETWORK FIRST, fall back to cache\n 68→ event.respondWith(\n 69→ fetch(event.request)\n 70→ .then((response) => {\n 71→ if (response.ok) {\n 72→ const clone = response.clone();\n 73→ caches.open(CACHE_NAME).then((cache) => cache.put(event.request, clone));\n 74→ }\n 75→ return response;\n 76→ })\n 77→ .catch(() => {\n 78→ return caches.match(event.request).then((cached) => {\n 79→ if (cached) return cached;\n 80→ // Offline fallback for navigation\n 81→ if (event.request.mode === 'navigate') {\n 82→ return caches.match('/offline');\n 83→ }\n 84→ return new Response('Offline', { status: 503 });\n 85→ });\n 86→ })\n 87→ );\n 88→});\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"fdf06970-bd4c-4687-99dd-53da273f03cf","timestamp":"2026-03-25T07:09:34.145Z","sourceToolAssistantUUID":"08a54673-546a-40ad-b300-aba35f93ce43"} {"parentUuid":"fdf06970-bd4c-4687-99dd-53da273f03cf","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JfcooCiBw94XyVp6SZLFhx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ANF6d6PfcBZ8hUeznQfYLq","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/public/register-sw.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1163,"cache_creation_input_tokens":326,"cache_read_input_tokens":50724,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":326},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNwyVpxJQNzQfjG2U9v","type":"assistant","uuid":"9686c654-79f3-4ba5-b7bf-b75c293e59e2","timestamp":"2026-03-25T07:09:34.193Z"} {"parentUuid":"9686c654-79f3-4ba5-b7bf-b75c293e59e2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ANF6d6PfcBZ8hUeznQfYLq","toolUseID":"toolu_01ANF6d6PfcBZ8hUeznQfYLq","timestamp":"2026-03-25T07:09:34.196Z","uuid":"2706997d-38c1-497b-a100-0d3c80c2b83a"} {"parentUuid":"9686c654-79f3-4ba5-b7bf-b75c293e59e2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ANF6d6PfcBZ8hUeznQfYLq","type":"tool_result","content":" 1→// Service Worker registration script\n 2→if ('serviceWorker' in navigator) {\n 3→ window.addEventListener('load', () => {\n 4→ navigator.serviceWorker.register('/sw.js').catch(() => {});\n 5→ });\n 6→}\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"d9c3f445-fc30-43e2-a063-673aceb06898","timestamp":"2026-03-25T07:09:34.196Z","sourceToolAssistantUUID":"9686c654-79f3-4ba5-b7bf-b75c293e59e2"} {"parentUuid":"d9c3f445-fc30-43e2-a063-673aceb06898","isSidechain":true,"userType":"external","cwd":"/home/ccuser/the-50-dollar-app","sessionId":"1e031c6a-b160-4217-8255-7833b4d34d68","version":"2.1.37","gitBranch":"main","agentId":"aaa6159","slug":"purring-dreaming-perlis","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NPYUnyyMeo2f2bohrvF2KN","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me generate the comprehensive report.\n\n## Voice Processing Search Results\n\nI've thoroughly searched the codebase and found all voice processing, speech recognition, and transcription-related files. Here's the complete inventory:\n\n### 1. API Routes for Voice Processing\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/api/ai/transcribe-voice/route.ts`\n- Uses OpenAI Whisper API for audio transcription\n- Takes audio blob → returns text transcript\n- Includes CSRF protection, rate limiting, and auth checks\n- Deprecated in favor of `/api/ai/voice-complete` for better performance\n- Code snippet: Uses `openai.audio.transcriptions.create()` with whisper-1 model\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/api/ai/parse-profile-voice/route.ts`\n- Parses transcribed text using GPT-4o-mini\n- Extracts structured profile data (trades, experience, location, availability)\n- Uses prompt injection sanitization\n- Deprecated in favor of consolidated endpoint\n- Validates against TRADES constant and VALID_AVAILABILITY options\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-complete/route.ts` (Optimized)\n- Consolidated endpoint replacing the above two endpoints\n- Handles transcription + parsing + profile generation in single call\n- Supports both audio file upload and existing transcript input\n- Enhanced error handling with fallback to manual completion\n- Reduces processing time by 30-50% (from 5-12 seconds to 3-7 seconds)\n- Key optimization: Merges 2 GPT-4o-mini calls into 1\n- Includes performance timing data and fallback mode\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/api/ai/voice-to-job/route.ts`\n- Voice-to-job posting for contractors\n- Transcribes audio and extracts structured job fields\n- Returns all fields needed to auto-fill job posting form\n- Validates trade IDs and applies intelligent defaults\n- Includes rate clamping (MIN_RATE: $25, MAX_RATE: $500)\n- Strips contact info from generated content to prevent platform bypass\n\n---\n\n### 2. Frontend Components and Hooks\n\n**File:** `/home/ccuser/the-50-dollar-app/src/components/VoiceRecorder.tsx`\n- Standalone reusable voice recording component\n- Uses MediaRecorder API (`navigator.mediaDevices.getUserMedia`)\n- Supports audio/webm or audio/mp4 MIME types\n- Error handling for: NotAllowedError, NotFoundError, SecurityError, AbortError\n- Shows visual feedback: mic icon, recording pulse animation, stop button\n- Returns audio blob to parent component\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/(authenticated)/worker/signup/hooks/useVoiceProcessing.ts`\n- Custom hook for worker profile voice processing\n- Multi-step voice completion: transcribe → parse → navigate to next form step\n- Integrates with `/api/ai/transcribe-voice` and `/api/ai/parse-profile-voice`\n- Smart step navigation based on parsed fields\n- CSRF token management (`initializeCSRF()`, `getCSRFCookie()`)\n- Error state management with user-facing messages\n- Supports pre-filling multiple trades, experience, location, availability\n\n---\n\n### 3. Page Components with Voice Integration\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/(authenticated)/contractor/post-job/page.tsx`\n- Voice input for job posting (primary CTA)\n- Large 24x24 px mic button for voice recording\n- States: starting, recording, stop\n- Uses `/api/ai/voice-to-job` endpoint\n- Auto-fills all form fields from voice: trade, title, description, rates, certifications, location, date, workers needed\n- **Error toast message:** `\"Voice processing failed. Try again or type your job details.\"` (line 252)\n- Fallback messaging: `\"AI couldn't fully process your voice. Please fill in the details.\"` when fallback flag is set\n- Loading state shows: \"Listening to your voice...\" → \"AI writing your job post...\"\n\n**File:** `/home/ccuser/the-50-dollar-app/src/app/(authenticated)/worker/profile/build/page.tsx`\n- Voice input for worker profile building\n- Comments indicate optimization: \"reduces voice processing time from ~5-12 seconds to ~3-7 seconds\"\n- Uses consolidated `/api/ai/voice-complete` endpoint (mentioned in comments)\n- Multi-step form with voice-to-profile conversion\n- Generates bio, skills, and certifications from voice input\n\n---\n\n### 4. Service Worker Files\n\n**File:** `/home/ccuser/the-50-dollar-app/public/sw.js`\n- PWA service worker with network-first strategy for pages/API\n- Caches static assets (images, SVG, fonts)\n- Network-first fetch for API calls (all `/api/` requests bypass cache and go straight to network)\n- Important: API calls including voice processing routes are not cached\n\n**File:** `/home/ccuser/the-50-dollar-app/public/register-sw.js`\n- Simple service worker registration script\n- Registered on page load event\n\n---\n\n### 5. Documentation Files\n\n**File:** `/home/ccuser/the-50-dollar-app/voice-processing-analysis.md`\n- Comprehensive analysis of voice processing flow\n- Identifies sequential API call bottleneck (3 calls: transcribe → parse → generate)\n- Details optimization opportunities\n- Performance baseline: 5-12 seconds total\n\n**File:** `/home/ccuser/the-50-dollar-app/voice-optimization-summary.md`\n- Implementation summary of voice processing optimization\n- Phase-based approach: API consolidation → error handling → performance monitoring → streaming\n- Expected improvements: 30-50% faster (3-7 seconds)\n- Testing strategy and risk assessment included\n\n---\n\n### 6. Summary of Voice Processing Features\n\n**Recording:**\n- Uses Web Audio API (`MediaRecorder`, `getUserMedia`)\n- Captures audio in webm or mp4 format\n- Blob-based transmission to API\n\n**Transcription:**\n- OpenAI Whisper API (whisper-1 model)\n- Language: English\n- Sanitization for injection prevention\n\n**AI Processing:**\n- GPT-4o-mini for parsing and generation\n- Extracts structured data (trades, experience, location, availability)\n- Generates professional bios, skills, certifications\n- Temperature: 0.3 (deterministic output)\n\n**Error Handling:**\n- Toast messages: `\"Voice processing failed. Try again or type your job details.\"` (contractor job posting)\n- Fallback mode when AI processing fails\n- Transcript preservation for manual completion\n- Specific error messages for different failure modes\n\n**Security:**\n- CSRF protection on all voice endpoints\n- Rate limiting: 10 requests per 15 minutes per user (with some endpoints at 5 per 15 minutes)\n- Input sanitization (`sanitizeInput`, `stripContactInfo`)\n- Auth check on all endpoints\n- Contact info stripping from generated content\n\n**Performance:**\n- Consolidated endpoint reduces calls from 3 to 1-2\n- Processing time: 3-7 seconds (optimized from 5-12 seconds)\n- No caching in service worker for API calls\n- Network-first strategy for dynamic content"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2683,"cache_read_input_tokens":51050,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2683},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZPNx5rZQR26AMHAT4cE3","type":"assistant","uuid":"0324037b-708c-4e99-82d1-4b7a0e6f4ee8","timestamp":"2026-03-25T07:09:52.842Z"}