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\n \n \n\n`;\n\n return Response.json({\n success: true,\n files: generatedContent.files,\n html: htmlWrapper,\n description: generatedContent.description,\n dependencies: generatedContent.dependencies,\n title: generatedContent.title,\n });\n\n } catch (error) {\n console.error('AI generation error:', error);\n return Response.json({ \n error: 'Internal server error during code generation' \n }, { status: 500 });\n }\n}","deleted","label","children",[],[151],{"_103":171,"_95":99,"_152":172,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":173,"_100":32,"_161":162,"_163":174,"_165":22,"_166":-5,"_167":175,"_98":176},"cfdc2820-b338-11f0-ba51-0224a6c84d84","cfdc28b6-b338-11f0-ba51-0224a6c84d84",["D",1761571703506],"export default async function(req: Request): Promise {\n // Read secrets from x-secrets header\n const __secrets = JSON.parse(req.headers.get('x-secrets') || '{}');\n\n try {\n const { code, errorDescription } = await req.json();\n\n if (!code) {\n return Response.json({ error: 'Code is required for debugging' }, { status: 400 });\n }\n\n const openaiApiKey = __secrets['OPENAI_API_KEY'];\n if (!openaiApiKey) {\n return Response.json({ error: 'OpenAI API key not configured' }, { status: 500 });\n }\n\n // Prepare the debugging prompt\n const systemPrompt = `You are an expert web developer and debugging specialist. 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Check security vulnerabilities\n\nOUTPUT FORMAT:\nReturn ONLY a JSON object with:\n{\n \"issues\": [\n {\n \"type\": \"error\" | \"warning\" | \"suggestion\",\n \"line\": number,\n \"description\": \"What's wrong\",\n \"solution\": \"How to fix it\",\n \"code\": \"Fixed code snippet\"\n }\n ],\n \"fixedCode\": \"Complete fixed code\",\n \"summary\": \"Brief summary of issues found and fixed\",\n \"improvements\": [\"List of suggested improvements\"]\n}\n\nFocus on providing actionable fixes and explanations.`;\n\n // Call OpenAI API for debugging\n const response = await fetch('https://api.openai.com/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Authorization': `Bearer ${openaiApiKey}`,\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n model: 'gpt-4o-mini',\n messages: [\n { role: 'system', content: systemPrompt },\n { \n role: 'user', \n content: `Debug and fix this web application code:\n\n${errorDescription ? `User reported issue: ${errorDescription}\\n\\n` : ''}\n\nCode:\n${code}` \n }\n ],\n temperature: 0.3,\n max_tokens: 3000,\n }),\n });\n\n if (!response.ok) {\n const error = await response.text();\n console.error('OpenAI API error:', error);\n return Response.json({ error: 'Failed to debug code' }, { status: 500 });\n }\n\n const data = await response.json();\n const content = data.choices[0]?.message?.content;\n\n if (!content) {\n return Response.json({ error: 'No debugging analysis generated' }, { status: 500 });\n }\n\n let debugResult;\n try {\n debugResult = JSON.parse(content);\n } catch (e) {\n // If JSON parsing fails, create a simple response\n debugResult = {\n issues: [],\n fixedCode: code,\n summary: content,\n improvements: []\n };\n }\n\n return Response.json({\n success: true,\n ...debugResult\n });\n\n } catch (error) {\n console.error('Debugging error:', error);\n return Response.json({ \n error: 'Internal server error during debugging' \n }, { status: 500 });\n }\n}",[],[99],"files",[149,170],"counts",{"_181":32,"_182":157,"_183":32,"_184":185},"pulls","branches","forks","envVars",{"_186":32,"_187":32},"count","emptyCount","contents",[],"file",{"_103":171,"_95":99,"_152":172,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":192,"_100":32,"_161":162,"_163":174,"_165":22,"_166":-5,"_98":193},["D",1761571703506],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.code.$",{"_93":94,"_95":96,"_97":43,"_100":-7,"_98":99,"_101":202,"_147":207,"_177":214,"_190":215,"_188":218,"_219":-5,"_220":-5,"_221":-5,"_222":-5,"_223":224},{"_103":104,"_95":96,"_105":203,"_107":-5,"_108":22,"_109":110,"_111":-5,"_112":-5,"_14":113,"_114":-5,"_115":22,"_116":-5,"_117":32,"_16":118,"_119":120,"_121":120,"_122":123,"_124":123,"_125":123,"_126":120,"_127":120,"_23":204,"_131":205,"_134":206,"_146":22},["D",1761571575306],{"_93":94,"_129":130},{"_93":94,"_133":130,"_14":113},{"_100":136,"_95":43,"_103":137,"_138":104,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":96,"_145":94},[208,211],{"_103":150,"_95":151,"_152":153,"_154":-5,"_155":137,"_156":157,"_158":159,"_105":160,"_100":32,"_161":162,"_163":164,"_165":22,"_166":-5,"_167":209,"_98":210},[],[151],{"_103":171,"_95":99,"_152":172,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":173,"_100":32,"_161":162,"_163":174,"_165":22,"_166":-5,"_167":212,"_98":213},[],[99],[208,211],{"_103":171,"_155":137,"_152":172,"_95":99,"_163":174,"_161":162,"_100":32,"_154":-5,"_105":216,"_156":136,"_166":-5,"_98":217},["D",1761571703506],[99],[],"upstream","pull","ahead","behind","templates",[],"actionData","errors"]

kliv

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