[{"_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",11,"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 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 }\n}","export default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"Method Not Allowed\", { status: 405 });\n }\n\n try {\n const data = await req.json();\n const chatHistory = data.chat_history;\n\n const buildGeminiBody = () => ({\n systemInstruction: {\n parts: [{\n text:\n \"Respond always in the exact language that the user is speaking. Use markdown formatting when appropriate to structure your response beautifully. Never output any internal reasoning or think tags.\",\n }],\n },\n generationConfig: {\n temperature: 1,\n topP: 0.95,\n maxOutputTokens: 8192,\n },\n contents: chatHistory.map((item: any) => ({\n role: item.role === \"assistant\" ? \"model\" : item.role,\n parts: [{ text: item.message }],\n })),\n });\n\n const buildNvidiaBody = (modelName: string, maxTokens: number) => ({\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 think tags.\",\n },\n ...chatHistory.map((item: any) => ({\n role: item.role,\n content: item.message,\n })),\n ],\n });\n\n const attempts = [\n async () => {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY_1\");\n const res = await fetch(\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(buildGeminiBody()),\n },\n );\n if (!res.ok) throw new Error(`Gemini1 error: ${res.status}`);\n const json = await res.json();\n return json.candidates[0].content.parts[0].text;\n },\n async () => {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY_2\");\n const res = await fetch(\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(buildGeminiBody()),\n },\n );\n if (!res.ok) throw new Error(`Gemini2 error: ${res.status}`);\n const json = await res.json();\n return json.candidates[0].content.parts[0].text;\n },\n async () => {\n const apiKey = Deno.env.get(\"NVIDIA_API_KEY\");\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(\n buildNvidiaBody(\"meta/llama-3.3-70b-instruct\", 8192),\n ),\n },\n );\n if (!res.ok) throw new Error(`Nvidia1 error: ${res.status}`);\n const json = await res.json();\n let text = json.choices[0].message.content;\n return text.replace(/.*?<\\/think>/gs, \"\").replace(\n /<\\/?think>/g,\n \"\",\n ).trim();\n },\n async () => {\n const apiKey = Deno.env.get(\"NVIDIA_API_KEY\");\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(\n buildNvidiaBody(\"mistralai/mistral-large-2-instruct\", 8192),\n ),\n },\n );\n if (!res.ok) throw new Error(`Nvidia2 error: ${res.status}`);\n const json = await res.json();\n let text = json.choices[0].message.content;\n return text.replace(/.*?<\\/think>/gs, \"\").replace(\n /<\\/?think>/g,\n \"\",\n ).trim();\n },\n async () => {\n const apiKey = Deno.env.get(\"NVIDIA_API_KEY\");\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(buildNvidiaBody(\"qwen/qwen3-235b-a22b\", 8192)),\n },\n );\n if (!res.ok) throw new Error(`Nvidia3 error: ${res.status}`);\n const json = await res.json();\n let text = json.choices[0].message.content;\n return text.replace(/.*?<\\/think>/gs, \"\").replace(\n /<\\/?think>/g,\n 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Diff · v11