@aihubmix/ai-sdk-provider/dist/index.mjs.map

> **🎉 10% discount!** Added app-code; this way, requesting all models through ai-sdk offers a 10% discount.

{"version":3,"sources":["../src/aihubmix-provider.ts","../src/aihubmix-tools.ts"],"sourcesContent":["import {\n  OpenAIChatLanguageModel,\n  OpenAICompletionLanguageModel,\n  OpenAIEmbeddingModel,\n  OpenAIImageModel,\n  OpenAIResponsesLanguageModel,\n  OpenAITranscriptionModel,\n  OpenAISpeechModel,\n} from '@ai-sdk/openai/internal';\nimport { AnthropicMessagesLanguageModel } from '@ai-sdk/anthropic/internal';\nimport { GoogleGenerativeAILanguageModel } from '@ai-sdk/google/internal';\nimport {\n  EmbeddingModelV2,\n  LanguageModelV2,\n  ProviderV2,\n  ImageModelV2,\n  TranscriptionModelV2,\n  SpeechModelV2,\n  TranscriptionModelV2CallOptions,\n} from '@ai-sdk/provider';\nimport { FetchFunction, loadApiKey } from '@ai-sdk/provider-utils';\nimport { aihubmixTools } from './aihubmix-tools';\n\n// 导入设置类型\nimport type { OpenAIProviderSettings } from '@ai-sdk/openai';\n\n\nexport interface AihubmixProvider extends ProviderV2 {\n  (deploymentId: string, settings?: OpenAIProviderSettings): LanguageModelV2;\n\n  languageModel(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): LanguageModelV2;\n\n  chat(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): LanguageModelV2;\n\n  responses(deploymentId: string): LanguageModelV2;\n\n  completion(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): LanguageModelV2;\n\n  embedding(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): EmbeddingModelV2<string>;\n\n  image(deploymentId: string, settings?: OpenAIProviderSettings): ImageModelV2;\n\n  imageModel(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): ImageModelV2;\n\n  textEmbedding(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): EmbeddingModelV2<string>;\n\n  textEmbeddingModel(\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ): EmbeddingModelV2<string>;\n\n  transcription(deploymentId: string): TranscriptionModelV2;\n\n  speech(deploymentId: string): SpeechModelV2;\n\n  speechModel(deploymentId: string): SpeechModelV2;\n\n  tools: typeof aihubmixTools;\n}\n\nexport interface AihubmixProviderSettings {\n  apiKey?: string;\n  fetch?: FetchFunction;\n  compatibility?: 'strict' | 'compatible';\n}\n\nclass AihubmixTranscriptionModel extends OpenAITranscriptionModel {\n  async doGenerate(options: TranscriptionModelV2CallOptions) {\n    // 根据MIME类型设置正确的文件扩展名\n    if (options.mediaType) {\n      const mimeTypeMap: Record<string, string> = {\n        'audio/mpeg': 'mp3',\n        'audio/mp3': 'mp3',\n        'audio/wav': 'wav',\n        'audio/flac': 'flac',\n        'audio/m4a': 'm4a',\n        'audio/mp4': 'mp4',\n        'audio/ogg': 'ogg',\n        'audio/webm': 'webm',\n        'audio/oga': 'oga',\n        'audio/mpga': 'mpga',\n      };\n      \n      const extension = mimeTypeMap[options.mediaType];\n      if (extension) {\n        // 重写getArgs方法来设置正确的文件名\n        const originalGetArgs = (this as any).getArgs;\n        (this as any).getArgs = async function(args: any) {\n          const result = await originalGetArgs.call(this, args);\n          if (result.formData) {\n            // 找到file字段并修改文件名\n            const fileEntry = result.formData.get('file');\n            if (fileEntry && typeof fileEntry === 'object' && 'name' in fileEntry) {\n              // 创建新的 File 对象，设置正确的文件名\n              try {\n                const newFile = new File([fileEntry], `audio.${extension}`, { \n                  type: options.mediaType \n                });\n                result.formData.set('file', newFile);\n              } catch (error) {\n                console.log('Failed to create new File object:', error);\n                // 如果创建新 File 对象失败，尝试其他方法\n                // 在 Node.js 环境中，可能需要使用 Buffer 或其他方式\n                if (fileEntry && typeof fileEntry === 'object' && 'arrayBuffer' in fileEntry) {\n                  try {\n                    const arrayBuffer = await (fileEntry as any).arrayBuffer();\n                    const newFile = new File([arrayBuffer], `audio.${extension}`, { \n                      type: options.mediaType \n                    });\n                    result.formData.set('file', newFile);\n                    console.log('Created new file from arrayBuffer with name:', `audio.${extension}`);\n                  } catch (bufferError) {\n                    console.log('Failed to create file from arrayBuffer:', bufferError);\n                  }\n                }\n              }\n            }\n          }\n          return result;\n        };\n      }\n    }\n    \n    return super.doGenerate(options);\n  }\n}\n\nexport function createAihubmix(\n  options: AihubmixProviderSettings = {},\n): AihubmixProvider {\n  const getHeaders = () => ({\n    Authorization: `Bearer ${loadApiKey({\n      apiKey: options.apiKey,\n      environmentVariableName: 'AIHUBMIX_API_KEY',\n      description: 'Aihubmix',\n    })}`,\n    'APP-Code': 'WHVL9885',\n    'Content-Type': 'application/json',\n  });\n\n  const getTranscriptionHeaders = () => ({\n    Authorization: `Bearer ${loadApiKey({\n      apiKey: options.apiKey,\n      environmentVariableName: 'AIHUBMIX_API_KEY',\n      description: 'Aihubmix',\n    })}`,\n    'APP-Code': 'WHVL9885',\n  });\n\n  const url = ({ path, modelId }: { path: string; modelId: string }) => {\n    const baseURL = 'https://aihubmix.com/v1';\n    return `${baseURL}${path}`;\n  };\n\n  const createChatModel = (\n    deploymentName: string,\n    settings: OpenAIProviderSettings = {},\n  ) => {\n    const headers = getHeaders();\n    if (deploymentName.startsWith('claude-')) {\n      return new AnthropicMessagesLanguageModel(deploymentName, {\n        provider: 'aihubmix.chat',\n        baseURL: url({ path: '', modelId: deploymentName }),\n        headers: {\n          ...headers,\n          'x-api-key': headers['Authorization'].split(' ')[1],\n        },\n        supportedUrls: () => ({\n          'image/*': [/^https?:\\/\\/.*$/],\n        }),\n      });\n    }\n    if (\n      (deploymentName.startsWith('gemini') ||\n        deploymentName.startsWith('imagen')) &&\n      !deploymentName.endsWith('-nothink') &&\n      !deploymentName.endsWith('-search')\n    ) {\n      return new GoogleGenerativeAILanguageModel(\n        deploymentName,\n        {\n          provider: 'aihubmix.chat',\n          baseURL: 'https://aihubmix.com/gemini/v1beta',\n          headers: {\n            ...headers,\n            'x-goog-api-key': headers['Authorization'].split(' ')[1],\n          },\n          generateId: () => `aihubmix-${Date.now()}`,\n          supportedUrls: () => ({}),\n        },\n      );\n    }\n\n    return new OpenAIChatLanguageModel(deploymentName, {\n      provider: 'aihubmix.chat',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n  };\n\n  const createCompletionModel = (\n    modelId: string,\n    settings: any = {},\n  ) =>\n    new OpenAICompletionLanguageModel(modelId, {\n      provider: 'aihubmix.completion',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (\n    modelId: string,\n    settings: any = {},\n  ) => {\n    return new OpenAIEmbeddingModel(modelId, {\n      provider: 'aihubmix.embeddings',\n      headers: getHeaders,\n      url,\n      fetch: options.fetch,\n    });\n  };\n\n  const createResponsesModel = (modelId: string) =>\n    new OpenAIResponsesLanguageModel(modelId, {\n      provider: 'aihubmix.responses',\n      url,\n      headers: getHeaders,\n    });\n\n  const createImageModel = (\n    modelId: string,\n    settings: any = {},\n  ) => {\n    return new OpenAIImageModel(modelId, {\n      provider: 'aihubmix.image',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n  };\n\n  const createTranscriptionModel = (modelId: string) =>\n    new AihubmixTranscriptionModel(modelId, {\n      provider: 'aihubmix.transcription',\n      url,\n      headers: getTranscriptionHeaders,\n      fetch: options.fetch,\n    });\n  const createSpeechModel = (modelId: string) =>\n    new OpenAISpeechModel(modelId, {\n      provider: 'aihubmix.speech',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n  const provider = function (\n    deploymentId: string,\n    settings?: OpenAIProviderSettings,\n  ) {\n    if (new.target) {\n      throw new Error(\n        'The Aihubmix model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createChatModel(deploymentId, settings);\n  };\n\n  provider.languageModel = createChatModel;\n  provider.chat = createChatModel;\n  provider.completion = createCompletionModel;\n  provider.responses = createResponsesModel;\n  provider.embedding = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n\n  provider.transcription = createTranscriptionModel;\n  provider.transcriptionModel = createTranscriptionModel;\n\n  provider.speech = createSpeechModel;\n  provider.speechModel = createSpeechModel;\n\n  provider.tools = aihubmixTools;\n\n  return provider as AihubmixProvider;\n}\n\nexport const aihubmix = createAihubmix();\n","import { z } from 'zod';\n\nconst WebSearchPreviewParameters = z.object({});\n\nfunction webSearchPreviewTool({\n  searchContextSize,\n  userLocation,\n}: {\n  searchContextSize?: 'low' | 'medium' | 'high';\n  userLocation?: {\n    type?: 'approximate';\n    city?: string;\n    region?: string;\n    country?: string;\n    timezone?: string;\n  };\n} = {}): {\n  type: 'provider-defined';\n  id: 'aihubmix.web_search_preview';\n  args: {};\n  parameters: typeof WebSearchPreviewParameters;\n} {\n  return {\n    type: 'provider-defined',\n    id: 'aihubmix.web_search_preview',\n    args: {\n      searchContextSize,\n      userLocation,\n    },\n    parameters: WebSearchPreviewParameters,\n  };\n}\n\nexport const aihubmixTools = {\n  webSearchPreview: 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