BrandForge AI

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\n\n\n`;\n}\n\n// Backend function remains largely the same, handling the API call.\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 === \"generateBrand\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n const concept = body.concept;\n\n if (\n !concept || typeof concept !== \"string\" || concept.trim().length < 10\n ) {\n throw new Error(\"A sufficiently descriptive concept is required.\");\n }\n\n const prompt = getBrandGeneratorPrompt(concept);\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: prompt }],\n temperature: 0.6,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n\n if (!content) {\n throw new Error(\"AI returned an empty response.\");\n }\n const parsedContent = JSON.parse(content);\n if (!parsedContent.logomark || !parsedContent.colorPalette) {\n throw new Error(\"AI returned an incomplete brand guide structure.\");\n }\n\n return new Response(content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"BrandForge AI 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 // Serve HTML for GET requests\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/volt/brand/code/main.ts","extension","actionData","errors"]