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You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags under any circumstances).\" }]\n },\n contents: data.chat_history.map((item: any) => {\n let role = item.role;\n if (role === \"assistant\") { role = \"model\"; }\n return {\n role: role,\n parts: [{ text: item.message }]\n };\n })\n })\n });\n const json = await res.json();\n const text = json.candidates[0].content.parts[0].text;\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n if (model === \"minimax\" || model === \"deepseek\" || model === \"laguna\") {\n let apiKey = Deno.env.get(\"MINIMAX_API_KEY\");\n let modelName = \"minimaxai/minimax-m3\";\n let maxTokens = 8192;\n if (model === \"deepseek\") {\n apiKey = Deno.env.get(\"DEEPSEEK_API_KEY\");\n modelName = \"deepseek-ai/deepseek-v4-flash\";\n maxTokens = 16384;\n } else if (model === \"laguna\") {\n apiKey = Deno.env.get(\"POOLSIDE_API_KEY\");\n modelName = \"poolside/laguna-xs-2.1\";\n maxTokens = 8192;\n }\n const payload: any = {\n model: modelName,\n temperature: 1,\n top_p: 0.95,\n max_tokens: maxTokens,\n stream: false,\n messages: [\n {\n role: \"system\",\n content: \"You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags under any circumstances). Always respond in the exact language the user is speaking.\"\n },\n ...data.chat_history.map((item: any) => ({\n role: item.role,\n content: item.message\n }))\n ]\n };\n if (model === \"deepseek\") {\n payload.chat_template_kwargs = { thinking: true, reasoning_effort: \"high\" };\n }\n const res = await fetch(\"https://integrate.api.nvidia.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${apiKey}`\n },\n body: JSON.stringify(payload)\n });\n const json = await res.json();\n let text = json.choices[0].message.content;\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n if (model === \"modules\") {\n const apiKey = Deno.env.get(\"POOLSIDE_API_KEY\");\n const modRes = await fetch(\"https://gexcysanchez--f49624927b2211f1b1b81607ee4eb77e.web.val.run/modules\", {\n headers: { \"User-Agent\": \"Mozilla/5.0\" }\n });\n const modJson = await modRes.json();\n let modulesText = \"\";\n if (Array.isArray(modJson)) {\n modulesText = modJson.map((item, i) => {\n let details = `Module #${i + 1}:\\n`;\n for (const [key, value] of Object.entries(item)) {\n details += `- ${key}: ${value}\\n`;\n }\n return details;\n }).join(\"\\n\");\n } else {\n modulesText = JSON.stringify(modJson);\n }\n const finalPrompt = `List the 3 best modules for my device (${data.brand}) ONLY from the provided list of modules below. Do not suggest any external modules.\\n\\nYou must create exactly 3 lists with exactly 3 modules each (9 modules in total). Categorize them strictly based on their descriptions according to these rules:\\n1. Performance: Select 3 modules whose descriptions explicitly mention increasing performance, FPS, CPU, or speed.\\n2. Balanced: Select 3 modules whose descriptions mention a balance of saving battery and providing good performance.\\n3. Battery Saving: Select 3 modules whose descriptions explicitly mention battery saving, reducing drain, or extending battery life.\\n\\nImportant instructions:\\n- Analyze the descriptions carefully to categorize them correctly.\\n- Only output the names of the modules under their respective category.\\n- Format your response beautifully with clear spacing, double line breaks between categories, and ensure the text is not clumped together.\\n- Do not output any tags or internal reasoning.\\n\\nProvided Modules:\\n${modulesText}`;\n const res = await fetch(\"https://integrate.api.nvidia.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${apiKey}`\n },\n body: JSON.stringify({\n model: \"poolside/laguna-xs-2.1\",\n temperature: 1,\n top_p: 0.95,\n max_tokens: 8192,\n stream: false,\n messages: [\n {\n role: \"system\",\n content: \"You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags under any circumstances). Always respond in the exact language the user is speaking. Start your response with the title: Recommended Modules. Format the response beautifully with clear spacing and double line breaks between sections to prevent the text from being clumped together. Never output any internal reasoning or tags.\"\n },\n {\n role: \"user\",\n content: finalPrompt\n }\n ]\n })\n });\n const json = await res.json();\n let text = json.choices[0].message.content;\n text = text.replace(/(?s).*?<\\/think>/, \"\").replace(\"\", \"\").replace(\"\", \"\").trim();\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n return new Response(\"Invalid Model\", { status: 400 });\n } catch (e: any) {\n return new Response(e.message, { status: 500 });\n }\n}","export default async function(req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"Method Not Allowed\", { status: 405 });\n }\n try {\n const data = await req.json();\n const model = data.model;\n if (model === \"gemini\") {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY\");\n const res = await fetch(`https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-lite:generateContent?key=${apiKey}`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: {\n parts: [{ text: \"Respond always in the exact language that the user is speaking. You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags under any circumstances).\" }]\n },\n contents: data.chat_history.map((item: any) => {\n let role = item.role;\n if (role === \"assistant\") { role = \"model\"; }\n return {\n role: role,\n parts: [{ text: item.message }]\n };\n })\n })\n });\n const json = await res.json();\n const text = json.candidates[0].content.parts[0].text;\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n if (model === \"minimax\" || model === \"deepseek\" || model === \"laguna\") {\n let apiKey = Deno.env.get(\"MINIMAX_API_KEY\");\n let modelName = \"minimaxai/minimax-m3\";\n let maxTokens = 8192;\n if (model === \"deepseek\") {\n apiKey = Deno.env.get(\"DEEPSEEK_API_KEY\");\n modelName = \"deepseek-ai/deepseek-v4-flash\";\n maxTokens = 16384;\n } else if (model === \"laguna\") {\n apiKey = Deno.env.get(\"POOLSIDE_API_KEY\");\n modelName = \"poolside/laguna-xs-2.1\";\n maxTokens = 8192;\n }\n const payload: any = {\n model: modelName,\n temperature: 1,\n top_p: 0.95,\n max_tokens: maxTokens,\n stream: false,\n messages: [\n {\n role: \"system\",\n content: \"You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags under any circumstances). Always respond in the exact language the user is speaking. Start your response with the title: Recommended Modules. Format the response beautifully with clear spacing and double line breaks between sections to prevent the text from being clumped together. Never output any internal reasoning or tags.\"\n },\n ...data.chat_history.map((item: any) => ({\n role: item.role,\n content: item.message\n }))\n ]\n };\n if (model === \"deepseek\") {\n payload.chat_template_kwargs = { thinking: true, reasoning_effort: \"high\" };\n }\n const res = await fetch(\"https://integrate.api.nvidia.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${apiKey}`\n },\n body: JSON.stringify(payload)\n });\n const json = await res.json();\n let text = json.choices[0].message.content;\n text = text.replace(/.*?<\\/think>/gs, \"\").replace(\"\", \"\").replace(\"\", \"\").trim();\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n return new Response(\"Invalid Model\", { status: 400 });\n } catch (e: any) {\n return new Response(e.message, { status: 500 });\n 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Diff · v5