AI Model: ${selectedModel}

Generating content for ${path}...

Using ${selectedModel}

\n`;\n\n controller.enqueue(new TextEncoder().encode(initialHtml));\n\n // Create a prompt that generates HTML content based on the path\n const prompt = `Generate HTML content for the path \"${path}\". \n\nRequirements:\n- Create relevant content based on the path\n- Include proper HTML structure for the BODY content only (no DOCTYPE, html, head tags)\n- Add inline CSS styles within style tags if needed. Add necessary global CSS styles and resets\n- Include navigation links to related pages (use realistic paths that would make sense) \n- Include some interactive elements if relevant\n- If something can possibly be a link, make it so\n- Everythinf in argentinian spanish.\n\nThe path \"${path}\" should inspire the theme and content of the page.\n\nReturn only the HTML body content, no explanations. Do not include DOCTYPE, html, head, or body tags.`;\n\n const response = await fetch(`${OPENROUTER_BASE_URL}/chat/completions`, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${OPENROUTER_API_KEY}`,\n \"Content-Type\": \"application/json\",\n \"HTTP-Referer\": \"https://val.town\",\n \"X-Title\": \"AI Website Generator\",\n },\n body: JSON.stringify({\n model: selectedModel,\n messages: [\n {\n role: \"system\",\n content: \"You are a web developer creating HTML content. Generate engaging body content with inline CSS.\",\n },\n { role: \"user\", content: prompt },\n ],\n max_tokens: 10000,\n temperature: 1,\n provider: { sort: \"latency\", max_price: { completion: 1 } },\n stream: true, // Enable streaming\n }),\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`OpenRouter API error: ${response.status} - ${errorText}`);\n }\n\n const reader = response.body?.getReader();\n if (!reader) {\n throw new Error(\"No response body reader available\");\n }\n\n let buffer = \"\";\n let contentStarted = false;\n\n try {\n while (true) {\n const { done, value } = await reader.read();\n if (done) break;\n\n const chunk = new TextDecoder().decode(value);\n buffer += chunk;\n\n // Process complete lines\n const lines = buffer.split(\"\\n\");\n buffer = lines.pop() || \"\"; // Keep incomplete line in buffer\n\n for (const line of lines) {\n if (line.startsWith(\"data: \")) {\n const data = line.slice(6);\n if (data === \"[DONE]\") continue;\n\n try {\n const parsed = JSON.parse(data);\n const content = parsed.choices?.[0]?.delta?.content;\n\n if (content) {\n if (!contentStarted) {\n // Hide loading spinner and show content\n const hideLoadingScript = `\n \n `;\n controller.enqueue(new TextEncoder().encode(hideLoadingScript));\n contentStarted = true;\n }\n\n // Stream the content chunk\n controller.enqueue(new TextEncoder().encode(content));\n }\n } catch (e) {\n // Skip invalid JSON lines\n continue;\n }\n }\n }\n }\n } finally {\n reader.releaseLock();\n }\n\n // Close the HTML structure\n const closingHtml = `\n

\n \n\n`;\n\n controller.enqueue(new TextEncoder().encode(closingHtml));\n}\n\nfunction generateErrorPage(path: string): string {\n return `\n\n\n \n \n Error - ${path}\n \n\n\n

🚧 Oops! Something went wrong

We couldn't generate content for ${path} right now.

This might be due to high demand or a temporary issue. Please try again in a moment!

\n \n

\n 🏠 Home\n ℹ️ About\n 🔍 Explore\n 🎲 Random\n

\n\n`;\n}","deleted","label",[98],"permalink","https://www.val.town/x/nulo/delirio/code/index.ts","extension","actionData","errors"]