hack/tools/scripts/llm-key-hunter/results/_cache/content/321208008_ai-translation-assistant.json

{"repo": "321208008/ai-translation-assistant", "files": {"app/api/translate/route.ts": {"3e1ae8f79238786fc174aaee13f5abc0e476fc3a": {"t": 1785745570.983372, "n": 5134, "h": "2865686c8f093188", "c": "import { NextResponse } from 'next/server';\nimport OpenAI from 'openai';\nimport { sign } from '@/lib/server/tencent-sign';\n\nexport async function POST(request: Request) {\n  try {\n    const { text, targetLanguage, service } = await request.json();\n\n    if (!text || !targetLanguage || !service) {\n      return NextResponse.json(\n        { error: '缺少必要参数' },\n        { status: 400 }\n      );\n    }\n\n    let result: string;\n\n    switch (service) {\n      case 'deepseek':\n        result = await translateWithDeepSeek(text, targetLanguage);\n        break;\n      case 'qwen':\n        result = await translateWithQwen(text, targetLanguage);\n        break;\n      case 'zhipu':\n        result = await translateWithZhipu(text, targetLanguage);\n        break;\n      case '4o-mini':\n        result = await translateWith4oMini(text, targetLanguage);\n        break;\n      case 'hunyuan':\n        result = await translateWithHunyuan(text, targetLanguage);\n        break;\n      default:\n        throw new Error('不支持的翻译服务');\n    }\n\n    return NextResponse.json({ text: result });\n  } catch (error: any) {\n    console.error('Translation error:', error);\n    return NextResponse.json(\n      { error: error.message || '翻译失败' },\n      { status: 500 }\n    );\n  }\n}\n\nasync function translateWithDeepSeek(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_DEEPSEEK_API_KEY;\n  if (!apiKey) {\n    throw new Error('DeepSeek API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.deepseek.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'deepseek-chat',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithQwen(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_QWEN_API_KEY;\n  if (!apiKey) {\n    throw new Error('Qwen API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'qwen-max',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithZhipu(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_ZHIPU_API_KEY;\n  if (!apiKey) {\n    throw new Error('Zhipu API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://open.bigmodel.cn/api/paas/v4'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'glm-4',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWith4oMini(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_OPENAI_API_KEY;\n  if (!apiKey) {\n    throw new Error('OpenAI API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.openai.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'gpt-4o-mini',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithHunyuan(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_TENCENT_API_KEY;\n  if (!apiKey) {\n    throw new Error('Tencent API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.hunyuan.cloud.tencent.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'hunyuan-turbo',\n    messages: [\n      {\n        role: 'system',\n        content: `你是一个专业的翻译助手，请直接翻译文本，不要添加任何解释。`\n      },\n      {\n        role: 'user',\n        content: `将以下文本翻译成${targetLanguage}：\\n\\n${text}`\n      }\n    ],\n    temperature: 0.1,\n    top_p: 0.7,\n    // @ts-expect-error key is not yet public\n    enable_enhancement: true\n  });\n\n  return response.choices[0].message.content || '';\n} "}, "8adb090f331995dee5709606bbfe1b47b116d040": {"t": 1785754353.3770957, "n": 5134, "h": "2865686c8f093188", "c": "import { NextResponse } from 'next/server';\nimport OpenAI from 'openai';\nimport { sign } from '@/lib/server/tencent-sign';\n\nexport async function POST(request: Request) {\n  try {\n    const { text, targetLanguage, service } = await request.json();\n\n    if (!text || !targetLanguage || !service) {\n      return NextResponse.json(\n        { error: '缺少必要参数' },\n        { status: 400 }\n      );\n    }\n\n    let result: string;\n\n    switch (service) {\n      case 'deepseek':\n        result = await translateWithDeepSeek(text, targetLanguage);\n        break;\n      case 'qwen':\n        result = await translateWithQwen(text, targetLanguage);\n        break;\n      case 'zhipu':\n        result = await translateWithZhipu(text, targetLanguage);\n        break;\n      case '4o-mini':\n        result = await translateWith4oMini(text, targetLanguage);\n        break;\n      case 'hunyuan':\n        result = await translateWithHunyuan(text, targetLanguage);\n        break;\n      default:\n        throw new Error('不支持的翻译服务');\n    }\n\n    return NextResponse.json({ text: result });\n  } catch (error: any) {\n    console.error('Translation error:', error);\n    return NextResponse.json(\n      { error: error.message || '翻译失败' },\n      { status: 500 }\n    );\n  }\n}\n\nasync function translateWithDeepSeek(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_DEEPSEEK_API_KEY;\n  if (!apiKey) {\n    throw new Error('DeepSeek API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.deepseek.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'deepseek-chat',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithQwen(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_QWEN_API_KEY;\n  if (!apiKey) {\n    throw new Error('Qwen API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'qwen-max',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithZhipu(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_ZHIPU_API_KEY;\n  if (!apiKey) {\n    throw new Error('Zhipu API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://open.bigmodel.cn/api/paas/v4'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'glm-4',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWith4oMini(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_OPENAI_API_KEY;\n  if (!apiKey) {\n    throw new Error('OpenAI API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.openai.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'gpt-4o-mini',\n    messages: [\n      {\n        role: 'system',\n        content: `You are a professional translator. Translate the following text to ${targetLanguage}. Only return the translated text, no explanations.`\n      },\n      {\n        role: 'user',\n        content: text\n      }\n    ],\n    temperature: 0.3,\n    max_tokens: 2000\n  });\n\n  return response.choices[0].message.content || '';\n}\n\nasync function translateWithHunyuan(text: string, targetLanguage: string) {\n  const apiKey = process.env.NEXT_PUBLIC_TENCENT_API_KEY;\n  if (!apiKey) {\n    throw new Error('Tencent API key not found');\n  }\n\n  const openai = new OpenAI({\n    apiKey: apiKey,\n    baseURL: 'https://api.hunyuan.cloud.tencent.com/v1'\n  });\n\n  const response = await openai.chat.completions.create({\n    model: 'hunyuan-turbo',\n    messages: [\n      {\n        role: 'system',\n        content: `你是一个专业的翻译助手，请直接翻译文本，不要添加任何解释。`\n      },\n      {\n        role: 'user',\n        content: `将以下文本翻译成${targetLanguage}：\\n\\n${text}`\n      }\n    ],\n    temperature: 0.1,\n    top_p: 0.7,\n    // @ts-expect-error key is not yet public\n    enable_enhancement: true\n  });\n\n  return response.choices[0].message.content || '';\n} "}, "562a87c85475ee6caca2f26456b3bd8ab5bd0400": {"t": 1785754354.8863933, "n": 978, "h": "70f4863dca06c571", "c": "import { NextResponse } from 'next/server';\nimport { translateWithZhipu } from '@/lib/zhipu';\n\nexport async function POST(request: Request) {\n  try {\n    const { text, targetLanguage, service } = await request.json();\n\n    if (!text) {\n      return NextResponse.json(\n        { success: false, message: '未提供文本' },\n        { status: 400 }\n      );\n    }\n\n    if (!targetLanguage) {\n      return NextResponse.json(\n        { success: false, message: '未提供目标语言' },\n        { status: 400 }\n      );\n    }\n\n    let result: string;\n\n    switch (service) {\n      case 'zhipu':\n        result = await translateWithZhipu(text, targetLanguage);\n        break;\n      default:\n        result = await translateWithZhipu(text, targetLanguage);\n    }\n\n    return NextResponse.json({ success: true, result });\n  } catch (error: any) {\n    console.error('翻译错误:', error);\n    return NextResponse.json(\n      { success: false, message: error.message || '翻译失败' },\n      { status: 500 }\n    );\n  }\n} "}}}}