AI Defect Analyzer

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Analysis Failed

Definition

Potential Causes

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\n\n\n\n`;\n}\n\n// --- BACKEND LOGIC ---\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"POST\") {\n try {\n const openai = new OpenAI();\n const { image } = await req.json();\n\n if (!image || !image.startsWith(\"data:image/\")) {\n return new Response(JSON.stringify({ error: \"A valid base64 image string is required.\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"system\",\n content: AI_SYSTEM_PROMPT.replace(\"INSPECTION_GUIDE_KNOWLEDGE_BASE\", INSPECTION_GUIDE_KNOWLEDGE_BASE),\n },\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: \"Analyze the provided image and respond according to the system prompt's strict JSON format.\",\n },\n {\n type: \"image_url\",\n image_url: {\n url: image,\n detail: \"low\",\n },\n },\n ],\n },\n ],\n max_tokens: 500,\n temperature: 0.2,\n response_format: { type: \"json_object\" },\n });\n\n const messageContent = completion.choices[0].message.content;\n\n // AI responses are untrusted input; validate the structure before returning.\n let parsedContent;\n try {\n parsedContent = JSON.parse(messageContent);\n } catch (e) {\n console.error(\"OpenAI returned non-JSON response:\", messageContent);\n throw new Error(\"AI failed to generate a valid analysis structure.\");\n }\n\n if (parsedContent.error) {\n return new Response(JSON.stringify({ error: parsedContent.error }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n if (\n !parsedContent.defectName || !parsedContent.definition || !Array.isArray(parsedContent.potentialCauses)\n || !Array.isArray(parsedContent.recommendedActions)\n ) {\n console.error(\"OpenAI returned improperly structured JSON:\", parsedContent);\n throw new Error(\"AI analysis returned an incomplete data structure.\");\n }\n\n return new Response(messageContent, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"AI Analyzer Error:\", error);\n return new Response(JSON.stringify({ error: error.message || \"An unexpected server error occurred.\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Serve the HTML for GET requests\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), { headers: { \"Content-Type\": \"text/html; charset=utf-8\" } });\n}","deleted","label",[98],"permalink","https://www.val.town/x/real/Mold/code/main.tsx","extension","actionData","errors"]