RC Valuator AI

Visually identify and appraise your RC gear.

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1. Upload a Clear Photo

\n \n Click to upload image\n $\"Image$ \n \n \n

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2. Core Details (We'll verify this)

\n Brand (Optional)\n \n

\n Model (Optional)\n \n

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3. What's the condition?

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Good (Used Regularly)

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\n \n Ready-to-Run\n

\n \n Roller/Kit\n

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4. Upgrades & Extras

\n List any upgrades, included accessories (batteries, charger, spare parts), or notable damage.\n \n

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\n\n\n`;\n}\n\n// --- MAIN SERVER LOGIC ---\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n\n if (req.method === \"POST\" && action === \"appraise\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n\n if (!body.imageDataUrl) {\n throw new Error(\"Image data is required for a visual appraisal.\");\n }\n\n const userInputText = `\n User-provided Brand: ${body.brand || \"Not provided\"}\n User-provided Model: ${body.model || \"Not provided\"}\n Condition: ${body[\"condition-text\"]}\n Completeness: ${body.completeness}\n Upgrades/Extras/Notes: ${body.upgrades || \"None specified.\"}\n `;\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text:\n `${APPRAISER_PERSONA_GUIDE}\\n\\nAnalyze the following image and user-provided text:`,\n },\n {\n type: \"image_url\",\n image_url: { url: body.imageDataUrl, detail: \"high\" },\n },\n { type: \"text\", text: userInputText },\n ],\n },\n ],\n temperature: 0.2, // Lower temperature for more factual responses\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n\n let parsedContent;\n try {\n parsedContent = JSON.parse(content);\n } catch {\n // AI response was not valid JSON\n console.error(\"AI returned malformed JSON:\", content);\n throw new Error(\n \"The AI appraiser returned an invalid response. Please try again.\",\n );\n }\n\n if (\n typeof parsedContent.priceLow !== \"number\" ||\n typeof parsedContent.priceHigh !== \"number\" ||\n typeof parsedContent.justification !== \"string\"\n ) {\n console.error(\"AI returned incomplete JSON structure:\", parsedContent);\n throw new Error(\n \"The AI appraiser's response was incomplete. Please try again.\",\n );\n }\n\n return new Response(JSON.stringify(parsedContent), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Appraisal Error:\", error);\n return new Response(\n JSON.stringify({\n error: error.message || \"An unknown error occurred.\",\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n}","deleted","label",[99],"permalink","https://www.val.town/x/realtime/rc-appraise/code/main.ts","extension","actionData","errors"]