[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_159":160,"_161":162},"routes/_app.x.$handle.$name",{"_99":98,"_32":45,"_108":89,"_27":53,"_13":14,"_109":-5,"_11":110,"_111":112,"_113":114,"_115":116,"_117":118,"_20":-5,"_119":-5,"_120":-5,"_121":25,"_122":123,"_124":58,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":25},"version",10,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","6a72092c-84e4-11f1-8aee-1607ee4eb77e","name","fileType","http","content","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(\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-lite:generateContent?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: {\n parts: [{\n text:\n \"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 },\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 );\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:\n \"You must strictly output only plain text. Never use markdown formatting (such as asterisks, double asterisks, hashtags, backticks, bold, or italic markdown tags). Always respond in the exact language the user is speaking. Use normal newlines, spacing, and standard characters to structure your response beautifully so it is easy to read and never 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 = {\n thinking: true,\n reasoning_effort: \"high\",\n };\n }\n const res = await fetch(\n \"https://integrate.api.nvidia.com/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${apiKey}`,\n },\n body: JSON.stringify(payload),\n },\n );\n const json = await res.json();\n let text = json.choices[0].message.content;\n text = text.replace(/.*?<\\/think>/gs, \"\").replace(\"\", \"\")\n .replace(\"\", \"\").trim();\n return new Response(text, { headers: { \"Content-Type\": \"text/plain\" } });\n }\n return new Response(\"Invalid Model\", { status: 400 });\n } catch (e: any) {\n return new Response(e.message, { status: 500 });\n }\n}","export default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"Method Not Allowed\", { status: 405 });\n }\n try {\n const data = await req.json();\n const model = data.model;\n if (model === \"gemini\") {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY\");\n const res = await fetch(\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-lite:generateContent?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: {\n parts: [{\n text:\n \"Respond always in the exact language that the user is speaking. You can use markdown formatting when appropriate to structure your response beautifully.\",\n }],\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 );\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:\n \"Always respond in the exact language the user is speaking. Use normal newlines, spacing, and markdown formatting when appropriate to structure your response beautifully so it is easy to read. 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 = {\n thinking: true,\n reasoning_effort: \"high\",\n };\n }\n const res = await fetch(\n \"https://integrate.api.nvidia.com/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": `Bearer ${apiKey}`,\n },\n body: JSON.stringify(payload),\n },\n );\n const json = await res.json();\n let text = json.choices[0].message.content;\n text = text.replace(/.*?<\\/think>/gs, \"\").replace(\"\", \"\")\n .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 · v10