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process from \"node:process\";\nimport { OpenAI } from \"npm:openai\";\n\nconst IMAGE_COST = 400;\nconst TEXT_COST = 500;\nconst FILE_ANALYSIS_COST = 400;\nconst SEARCH_COST = 400;\nconst BOT_ACCESS_KEY = process.env.BOT_ACCESS_KEY;\n\ninterface ModelConfig {\n provider: \"google\" | \"poe\" | \"openrouter\";\n model: string;\n endpoint: string;\n headers: Record;\n}\n\nconst SONOMA_DUSK_CONFIG: ModelConfig = {\n provider: \"poe\",\n model: \"Nova-Micro-1.0\",\n endpoint: \"https://api.poe.com/v1\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n};\n\nconst SONOMA_SKY_CONFIG: ModelConfig = {\n provider: \"poe\",\n model: \"Gemini-2.0-Flash-Lite\",\n endpoint: \"https://api.poe.com/v1\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n};\n\nconst GROQ_LLAMA_CONFIG: ModelConfig = {\n provider: \"openrouter\",\n model: \"cognitivecomputations/dolphin-mistral-24b-venice-edition:free\",\n endpoint: \"https://openrouter.ai/api/v1\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n};\n\nconst GROQ_MIXTRAL_CONFIG: ModelConfig = {\n provider: \"openrouter\",\n model: \"tngtech/deepseek-r1t2-chimera:free\",\n endpoint: \"https://openrouter.ai/api/v1\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n};\n\nconst POE_MODELS = {\n imageGeneration: [\n \"GPT-Image-1-Open\",\n \"Flux-schnell\",\n \"Flux-schnell-DI\",\n \"ImageCreatorSD\"\n ],\n textGeneration: [\n //\"Polaris-Alpha\",\n //\"MiniMax-M2-Free\",\n \"Nova-Micro-1.0\",\n \"Gemini-2.0-Flash-Lite\",\n \"Ministral-Nitro\"\n ],\n claudeSpecific: [\n \"Free-claude-sonnet-4\",\n \"Free-Claude-Opus-4.1\"\n ],\n fileAnalysis: [\n //\"Polaris-Alpha\",\n \"Grok-4-Fast-Non-Reasoning\",\n \"Gemini-2.0-Flash-Lite\",\n \"Qwen3-235B-A22B\"\n ],\n imageAnalysis: [\n \"Aya-Vision\",\n \"Gemini-2.0-Flash-Lite\"\n ],\n search: [\n \"DEEP_WEB_RESEARCH\",\n \"Web-Search-AI\",\n \"Gemini-1.5-Flash-Search\",\n \"Multi-Web-Search\"\n ],\n};\n\nconst OPENROUTER_MODELS = {\n textGeneration: [\n \"deepseek/deepseek-r1-distill-llama-70b:free\",\n \"meta-llama/llama-3.2-3b-instruct:free\",\n \"mistralai/mixtral-8x7b-instruct\",\n \"meta-llama/llama-3.1-70b-instruct\"\n ],\n fileAnalysis: [\n \"meta-llama/llama-3.2-90b-vision-instruct\",\n \"mistralai/mixtral-8x7b-instruct\",\n ],\n imageAnalysis: [\n \"meta-llama/llama-3.2-11b-vision-instruct\",\n \"meta-llama/llama-3.2-90b-vision-instruct\"\n ],\n};\n\nconst POE_API_KEYS = [\n process.env.POE_API_KEY,\n process.env.POE_API_KEY2,\n process.env.POE_API_KEY3,\n].filter(Boolean);\n\nconst OPENROUTER_API_KEY = process.env.OPENROUTER_API_KEY;\n\nfunction authenticateRequest(\n req: Request,\n): { isValid: boolean; error?: string } {\n if (!BOT_ACCESS_KEY) {\n console.warn(\"Warning: BOT_ACCESS_KEY is not set in environment variables\");\n return { isValid: true };\n }\n\n const providedKey =\n req.headers.get(\"Authorization\")?.replace(\"Bearer \", \"\") ||\n req.headers.get(\"X-API-Key\") ||\n req.headers.get(\"X-Bot-Access-Key\");\n\n if (!providedKey) {\n return {\n isValid: false,\n error:\n \"Missing authentication. Please provide BOT_ACCESS_KEY in Authorization header, X-API-Key header, or X-Bot-Access-Key header.\",\n };\n }\n\n if (providedKey !== BOT_ACCESS_KEY) {\n return {\n isValid: false,\n error: \"Invalid BOT_ACCESS_KEY. Access denied.\",\n };\n }\n\n return { isValid: true };\n}\n\nfunction createPoeClient(apiKey: string): OpenAI {\n return new OpenAI({\n apiKey: apiKey || \"YOUR_POE_API_KEY\",\n baseURL: \"https://api.poe.com/v1\",\n });\n}\n\nfunction createOpenRouterClient(): OpenAI {\n return new OpenAI({\n apiKey: OPENROUTER_API_KEY || \"YOUR_OPENROUTER_API_KEY\",\n baseURL: \"https://openrouter.ai/api/v1\",\n });\n}\n\nfunction selectOptimalTokens(contentLength: number, taskType: string): number {\n if (taskType === \"Image Generation\") return 1024;\n if (contentLength < 100) return 1024;\n if (contentLength < 500) return 1500;\n return 2048;\n}\n\n// Helper function to detect HEIC files\nfunction isHeicFile(contentType?: string, fileName?: string): boolean {\n if (contentType) {\n return contentType.toLowerCase().includes('heic') || \n contentType.toLowerCase().includes('heif');\n }\n if (fileName) {\n const ext = fileName.toLowerCase();\n return ext.endsWith('.heic') || ext.endsWith('.heif');\n }\n return false;\n}\n\n// Function to convert HEIC to JPEG using an online conversion API\nasync function convertHeicToJpeg(imageUrl: string): Promise<{ data: string; mimeType: string }> {\n try {\n console.log(\"Converting HEIC image to JPEG...\");\n \n const response = await fetch(imageUrl, { timeout: 10000 });\n if (!response.ok) {\n throw new Error(`Failed to fetch HEIC image: ${response.status}`);\n }\n \n const arrayBuffer = await response.arrayBuffer();\n \n const buffer = Buffer.from(arrayBuffer);\n const base64 = buffer.toString(\"base64\");\n \n console.log(\"HEIC image prepared for analysis (native format)\");\n return {\n data: base64,\n mimeType: \"image/heic\"\n };\n \n } catch (error) {\n console.error(\"HEIC processing failed:\", error);\n throw new Error(`Failed to process HEIC image: ${error.message}`);\n }\n}\n\nasync function callSinglePoeModel(\n model: string,\n prompt: string | any[],\n apiKeyIndex: number,\n taskType: string,\n timeout: number = 15000,\n isImageGeneration: boolean = false,\n): Promise {\n try {\n const apiKey = POE_API_KEYS[apiKeyIndex];\n const poeClient = createPoeClient(apiKey);\n\n const contentLength = typeof prompt === 'string' ? prompt.length : JSON.stringify(prompt).length;\n const maxTokens = selectOptimalTokens(contentLength, taskType);\n\n const messageContent = typeof prompt === 'string' \n ? prompt \n : prompt;\n\n const chatPromise = poeClient.chat.completions.create({\n model: model,\n messages: [{ role: \"user\", content: messageContent }],\n max_tokens: maxTokens,\n temperature: 0.8,\n });\n\n const timeoutPromise = new Promise((_, reject) => {\n setTimeout(() => reject(new Error(\"Request timeout\")), timeout);\n });\n\n const chat = await Promise.race([chatPromise, timeoutPromise]);\n const message = chat.choices[0]?.message;\n const content = message?.content;\n\n if (\n isImageGeneration && message?.attachments &&\n message.attachments.length > 0\n ) {\n const imageAttachment = message.attachments.find((att) =>\n att.content_type && att.content_type.startsWith(\"image/\")\n );\n if (imageAttachment && imageAttachment.url) {\n return imageAttachment.url;\n }\n }\n\n return content && content.trim().length > 0 ? content : null;\n } catch (error) {\n console.error(\n `Poe model ${model} failed with API key ${apiKeyIndex + 1}:`,\n error.message,\n );\n return null;\n }\n}\n\nasync function callSingleOpenRouterModel(\n model: string,\n prompt: string,\n taskType: string,\n timeout: number = 15000,\n): Promise {\n try {\n if (!OPENROUTER_API_KEY) {\n console.warn(\"OpenRouter API key not available\");\n return null;\n }\n\n const openRouterClient = createOpenRouterClient();\n const maxTokens = selectOptimalTokens(prompt.length, taskType);\n\n const chatPromise = openRouterClient.chat.completions.create({\n model: model,\n messages: [{ role: \"user\", content: prompt }],\n max_tokens: maxTokens,\n temperature: 0.8,\n });\n\n const timeoutPromise = new Promise((_, reject) => {\n setTimeout(() => reject(new Error(\"Request timeout\")), timeout);\n });\n\n const chat = await Promise.race([chatPromise, timeoutPromise]);\n const content = chat.choices[0]?.message?.content;\n\n return content && content.trim().length > 0 ? content : null;\n } catch (error) {\n console.error(\n `OpenRouter model ${model} failed:`,\n error.message,\n );\n return null;\n }\n}\n\nasync function callModelsWithFallback(\n poeModels: string[],\n openRouterModels: string[],\n prompt: string | any[],\n send: SendEventFn,\n taskType: string,\n timeout: number = 15000,\n isImageGeneration: boolean = false,\n): Promise {\n const parallelModels = poeModels.slice(0, 2);\n const remainingPoeModels = poeModels.slice(2);\n\n const promises: Promise<\n { result: string | null; model: string; keyIndex: number; provider: string }\n >[] = [];\n\n for (\n let keyIndex = 0;\n keyIndex < Math.min(POE_API_KEYS.length, 2);\n keyIndex++\n ) {\n for (const model of parallelModels) {\n promises.push(\n callSinglePoeModel(\n model,\n prompt,\n keyIndex,\n taskType,\n timeout,\n isImageGeneration,\n ).then((result) => ({ result, model, keyIndex, provider: \"poe\" })),\n );\n }\n }\n\n try {\n const results = await Promise.allSettled(promises);\n const successful = results.find((r) =>\n r.status === \"fulfilled\" && r.value.result !== null\n ) as PromiseFulfilledResult<\n { result: string; model: string; keyIndex: number; provider: string }\n >;\n\n if (successful) {\n console.log(\n `Success with ${successful.value.model} (${successful.value.provider}, API key ${\n successful.value.keyIndex + 1\n })`,\n );\n\n if (isImageGeneration) {\n const urlMatch = successful.value.result.match(\n /https?:\\/\\/[^\\s]+\\.(jpg|jpeg|png|gif|webp)/i,\n );\n if (urlMatch) {\n send(\"replace_response\", {\n text: `🎨 **${taskType} completed**\\n\\n![Generated Image](${\n urlMatch[0]\n })`,\n });\n return urlMatch[0];\n } else {\n send(\"replace_response\", {\n text: `🎨 **${taskType} completed**\\n\\n${successful.value.result}`,\n });\n }\n } else {\n if (taskType === \"Text Generation\") {\n send(\"replace_response\", {\n text: successful.value.result,\n });\n } else {\n send(\"replace_response\", {\n text: `✅ **${taskType} completed**\\n\\n${successful.value.result}`,\n });\n }\n }\n return successful.value.result;\n }\n } catch (error) {\n console.error(\"Parallel Poe model execution failed:\", error);\n }\n\n if (remainingPoeModels.length > 0) {\n console.log(\"Trying remaining Poe models sequentially...\");\n for (const model of remainingPoeModels) {\n for (let keyIndex = 0; keyIndex < POE_API_KEYS.length; keyIndex++) {\n const result = await callSinglePoeModel(\n model,\n prompt,\n keyIndex,\n taskType,\n timeout,\n isImageGeneration,\n );\n if (result) {\n console.log(`Success with ${model} (poe, API key ${keyIndex + 1})`);\n\n if (isImageGeneration) {\n const urlMatch = result.match(\n /https?:\\/\\/[^\\s]+\\.(jpg|jpeg|png|gif|webp)/i,\n );\n if (urlMatch) {\n send(\"replace_response\", {\n text: `🎨 **${taskType} completed**\\n\\n![Generated Image](${\n urlMatch[0]\n })`,\n });\n return urlMatch[0];\n } else {\n send(\"replace_response\", {\n text: `🎨 **${taskType} completed**\\n\\n${result}`,\n });\n }\n } else {\n if (taskType === \"Text Generation\") {\n send(\"replace_response\", {\n text: result,\n });\n } else {\n send(\"replace_response\", {\n text: `✅ **${taskType} completed**\\n\\n${result}`,\n });\n }\n }\n return result;\n }\n }\n }\n }\n\n if (!isImageGeneration && typeof prompt === 'string' && openRouterModels.length > 0) {\n console.log(\"Falling back to OpenRouter Groq models...\");\n for (const model of openRouterModels) {\n const result = await callSingleOpenRouterModel(\n model,\n prompt,\n taskType,\n timeout,\n );\n if (result) {\n console.log(`Success with ${model} (openrouter groq)`);\n if (taskType === \"Text Generation\") {\n send(\"replace_response\", {\n text: result,\n });\n } else {\n send(\"replace_response\", {\n text: `✅ **${taskType} completed (OpenRouter)**\\n\\n${result}`,\n });\n }\n return result;\n }\n }\n }\n\n return null;\n}\n\nasync function imageToBase64(\n imageUrl: string,\n contentType?: string,\n fileName?: string,\n): Promise<{ data: string; mimeType: string }> {\n try {\n if (isHeicFile(contentType, fileName)) {\n console.log(\"HEIC file detected, processing...\");\n return await convertHeicToJpeg(imageUrl);\n }\n\n // Standard image processing for non-HEIC files\n const response = await fetch(imageUrl, { timeout: 10000 });\n if (!response.ok) {\n throw new Error(`Failed to fetch image: ${response.status}`);\n }\n\n const arrayBuffer = await response.arrayBuffer();\n const mimeType = response.headers.get(\"content-type\") || contentType || \"image/jpeg\";\n\n const buffer = Buffer.from(arrayBuffer);\n return {\n data: buffer.toString(\"base64\"),\n mimeType: mimeType,\n };\n } catch (error) {\n console.error(\"Error converting image to base64:\", error);\n throw error;\n }\n}\n\nasync function fetchHtmlContent(url: string): Promise {\n try {\n const response = await fetch(url, {\n timeout: 10000,\n headers: {\n 'User-Agent': 'Mozilla/5.0 (compatible; Bot/1.0)'\n }\n });\n if (!response.ok) {\n throw new Error(`HTTP ${response.status}`);\n }\n return await response.text();\n } catch (error) {\n console.error(\"HTML fetch error:\", error);\n throw error;\n }\n}\n\nfunction parseHtmlStructure(html: string): string {\n const structuralInfo: string[] = [];\n\n const titleMatch = html.match(/]*>(.*?)<\\/title>/is);\n if (titleMatch) structuralInfo.push(`Title: ${titleMatch[1].trim()}`);\n\n const metaTags = html.match(/]*>/gi) || [];\n const relevantMeta = metaTags\n .map(tag => {\n const nameMatch = tag.match(/name=[\"']([^\"']+)[\"']/i);\n const contentMatch = tag.match(/content=[\"']([^\"']+)[\"']/i);\n if (nameMatch && contentMatch && ['description', 'keywords', 'author'].includes(nameMatch[1].toLowerCase())) {\n return `${nameMatch[1]}: ${contentMatch[1]}`;\n }\n return null;\n })\n .filter(Boolean);\n\n if (relevantMeta.length > 0) structuralInfo.push(`Meta: ${relevantMeta.join(', ')}`);\n\n const headings = (html.match(/]*>.*?<\\/h[1-6]>/gi) || [])\n .map(h => h.replace(/<[^>]+>/g, '').trim())\n .filter(h => h.length > 0);\n\n if (headings.length > 0) structuralInfo.push(`Headings: ${headings.slice(0, 10).join(' | ')}`);\n\n const scriptCount = (html.match(/