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process from \"node:process\";\nimport { OpenAI } from \"npm:openai\";\n\nconst IMAGE_COST = 15;\nconst TEXT_COST = 1;\nconst FILE_ANALYSIS_COST = 5;\nconst SEARCH_COST = 3;\nconst VIDEO_COST = 25;\nconst MUSIC_COST = 10;\nconst TOKENS_PER_POINT = 1000;\n\nconst BOT_ACCESS_KEY = process.env.BOT_ACCESS_KEY;\n\nconst POE_MODELS = {\n imageGeneration: [\"Image-Photo\", \"Image-2-Image\"],\n textGeneration: [\n \"Write-Academic-GPT\",\n \"DeepSeek-V3.2-Omni\",\n \"Phi-4-DI\",\n \"Solar-Pro-2\",\n ],\n coding: [\"App-Generator-Pro\", \"App-Generator\", \"Autonomous-Coder\"],\n fileAnalysis: [\n \"DeepSeek-V3.2-Omni\",\n \"GLM-4.5-Omni\",\n \"GPT-OSS-120B-Omni\",\n ],\n imageAnalysis: [\"Aya-Vision\"],\n search: [\n \"Deep-AI-Search\",\n \"Gemini-2.0-flash-lite\",\n \"Gemini-2.0-flash\",\n ],\n deepResearch: [\n \"Deep-AI-Search\",\n \"Web-Search-AI\",\n \"Gemini-2.0-flash-lite\",\n \"Gemini-2.0-flash\",\n ],\n videoGeneration: [\n \"LTX-2-Audio\",\n \"Real-Video-Generator\",\n \"Video-Generator-Pro\",\n ],\n musicGeneration: [\"Hailuo-Music-v1.5\", \"Lyria\"],\n soundGeneration: [\"Stable-Audio-2.5\", \"Stable-Audio-2.0\"],\n};\n\nconst POE_API_KEYS = [\n process.env.POE_API_KEY,\n].filter((k): k is string => Boolean(k));\n\ntype SendEventFn = (event: string, data: any) => void;\n\nfunction authenticateRequest(\n req: Request,\n): { isValid: boolean; error?: string } {\n if (!BOT_ACCESS_KEY) {\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: \"Missing BOT_ACCESS_KEY\",\n };\n }\n\n if (providedKey !== BOT_ACCESS_KEY) {\n return {\n isValid: false,\n error: \"Invalid BOT_ACCESS_KEY\",\n };\n }\n\n return { isValid: true };\n}\n\nfunction createPoeClient(apiKey: string): OpenAI {\n return new OpenAI({\n apiKey,\n baseURL: \"https://api.poe.com/v1\",\n });\n}\n\nfunction estimateTokens(text: string): number {\n return Math.ceil(text.length / 4);\n}\n\nfunction selectOptimalTokens(\n contentLength: number,\n taskType: string,\n): number {\n if (\n taskType === \"Image Generation\" ||\n taskType === \"Video Generation\" ||\n taskType === \"Music Generation\"\n ) return 1024;\n\n if (contentLength < 500) return 2048;\n return 4096;\n}\n\nfunction getBaseCostForTask(taskType: string): number {\n switch (taskType) {\n case \"Image Generation\":\n return IMAGE_COST;\n case \"Video Generation\":\n return VIDEO_COST;\n case \"Music Generation\":\n return MUSIC_COST;\n case \"File Analysis\":\n case \"HTML Analysis\":\n case \"Image Analysis\":\n return FILE_ANALYSIS_COST;\n case \"Web Search\":\n return SEARCH_COST;\n case \"Deep Research\":\n return SEARCH_COST * 2;\n default:\n return TEXT_COST;\n }\n}\n\nasync function callSinglePoeModel(\n model: string,\n prompt: string,\n apiKeyIndex: number,\n taskType: string,\n): Promise {\n try {\n const apiKey = POE_API_KEYS[apiKeyIndex];\n if (!apiKey) return null;\n\n const client = createPoeClient(apiKey);\n\n const maxTokens = selectOptimalTokens(\n prompt.length,\n taskType,\n );\n\n const chat = await client.chat.completions.create({\n model,\n messages: [\n {\n role: \"user\",\n content: prompt,\n },\n ],\n max_tokens: maxTokens,\n });\n\n const content = chat.choices[0]?.message?.content;\n\n if (!content) return null;\n\n return content.trim();\n } catch (error: any) {\n console.error(\n `Model failed: ${model}`,\n error?.message || error,\n );\n return null;\n }\n}\n\nasync function callModelsWithFallback(\n models: string[],\n prompt: string,\n taskType: string,\n): Promise {\n for (const model of models) {\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 );\n\n if (result) return result;\n }\n }\n\n return null;\n}\n\nasync function fetchHtmlContent(url: string): Promise {\n const controller = new AbortController();\n const id = setTimeout(() => controller.abort(), 10000);\n\n const res = await fetch(url, {\n signal: controller.signal,\n headers: {\n \"User-Agent\": \"Mozilla/5.0\",\n },\n });\n\n clearTimeout(id);\n\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n\n return await res.text();\n}\n\nfunction parseHtmlStructure(html: string): string {\n const title = html.match(/]*>(.*?)<\\/title>/is)?.[1] ??\n \"No title\";\n\n const headings = (html.match(/]*>.*?<\\/h[1-6]>/gi) ||\n [])\n .map((h) => h.replace(/<[^>]+>/g, \"\"))\n .slice(0, 10);\n\n return `\nTitle: ${title}\n\nHeadings:\n${headings.join(\"\\n\")}\n`;\n}\n\nasync function generateText(prompt: string): Promise {\n const result = await callModelsWithFallback(\n POE_MODELS.textGeneration,\n prompt,\n \"Text Generation\",\n );\n\n if (!result) {\n throw new Error(\"All text models failed\");\n }\n\n return result;\n}\n\nasync function analyzeFile(\n content: string,\n filename: string,\n): Promise {\n const prompt = `Analyze this file (${filename}) and summarize:\n\n${content.slice(0, 6000)}\n`;\n\n const result = await callModelsWithFallback(\n POE_MODELS.fileAnalysis,\n prompt,\n \"File Analysis\",\n );\n\n if (!result) {\n throw new Error(\"File analysis failed\");\n }\n\n return result;\n}\n\nexport default async function handler(\n req: Request,\n): Promise {\n const auth = authenticateRequest(req);\n\n if (!auth.isValid) {\n return new Response(\n JSON.stringify({ error: auth.error }),\n { status: 401 },\n );\n }\n\n try {\n const body = await req.json();\n\n const prompt = body.prompt || \"Hello\";\n const task = body.task || \"text\";\n\n let result = \"\";\n\n if (task === \"text\") {\n result = await generateText(prompt);\n }\n\n if (task === \"file\") {\n result = await analyzeFile(\n body.fileContent || \"\",\n body.fileName || \"file\",\n );\n }\n\n if (task === \"html\") {\n const html = await fetchHtmlContent(body.url);\n result = parseHtmlStructure(html);\n }\n\n return new Response(\n JSON.stringify({\n success: true,\n result,\n }),\n {\n headers: {\n \"Content-Type\": \"application/json\",\n },\n },\n );\n } catch (error: any) {\n return new Response(\n JSON.stringify({\n success: false,\n error: error?.message || \"Internal error\",\n }),\n { status: 500 },\n );\n }\n}","deleted","label",[100],"permalink","https://www.val.town/x/aibotcommander/Deep-Seek-V3-2-Omni/code/main.tsx","extension","actionData","errors"]