gemini-ai-sdk/dist/index.mjs.map

The simpler Google Gemini SDK

{"version":3,"sources":["../src/index.ts","../src/constants.ts"],"sourcesContent":["import {\n  GenerateContentResult,\n  GenerateContentStreamResult,\n  GenerationConfig,\n  GoogleGenerativeAI,\n  HarmBlockThreshold,\n  HarmCategory,\n  Part,\n  SafetySetting,\n  Content,\n  FileDataPart,\n  InlineDataPart,\n  Tool,\n} from \"@google/generative-ai\";\n\nimport { FileTypeResult, fileTypeFromBuffer } from \"file-type\";\nimport mime from \"mime-lite\";\n\n/**\n * Represents a file to be uploaded.\n */\nexport type FileUpload = { buffer: ArrayBuffer; filePath: string };\n\n/**\n * Checks if the given data is a FileUpload object.\n * @param data - The data to check.\n * @returns True if the data is a FileUpload, false otherwise.\n */\nexport function isFileUpload(data: any): data is FileUpload {\n  return data && data.buffer && data.filePath;\n}\n\n/**\n * Supported file formats for Gemini.\n */\nconst supportedFileFormats = [\n  \"image/png\",\n  \"image/jpeg\",\n  \"image/webp\",\n  \"image/heic\",\n  \"image/heif\",\n  \"audio/wav\",\n  \"audio/mp3\",\n  \"audio/mpeg\",\n  \"audio/aiff\",\n  \"audio/aac\",\n  \"audio/ogg\",\n  \"audio/flac\",\n  \"video/mp4\",\n  \"video/mpeg\",\n  \"video/mov\",\n  \"video/avi\",\n  \"video/x-flv\",\n  \"video/mpg\",\n  \"video/webm\",\n  \"video/wmv\",\n  \"video/3gpp\",\n  \"text/plain\",\n  \"text/html\",\n  \"text/css\",\n  \"text/javascript\",\n  \"application/x-javascript\",\n  \"text/x-typescript\",\n  \"application/x-typescript\",\n  \"text/csv\",\n  \"text/markdown\",\n  \"text/x-python\",\n  \"application/x-python-code\",\n  \"application/json\",\n  \"text/xml\",\n  \"application/rtf\",\n  \"text/rtf\",\n  \"application/pdf\",\n];\n\n/**\n * Maps some file types to others for compatibility.\n */\nconst formatMap: { [key: string]: string } = {\n  \"audio/mpeg\": \"audio/mp3\",\n  \"video/quicktime\": \"video/mov\",\n};\n\n/**\n * Determines the file type of a buffer.\n * @param buffer - The buffer to analyze.\n * @param filePath - Optional file path for fallback.\n * @param options - Options for strict checking.\n * @returns The detected file type.\n */\nexport const getFileType = async (\n  buffer: Uint8Array | ArrayBuffer,\n  filePath: string | undefined = undefined,\n  { strict = false } = {},\n): Promise<string> => {\n  const fileType: FileTypeResult | undefined = await fileTypeFromBuffer(buffer);\n\n  let format = formatMap[fileType?.mime as string] || fileType?.mime;\n  let valid = supportedFileFormats.includes(format);\n\n  if (!valid && filePath) {\n    format = mime.getType(filePath);\n    format = formatMap[format] || format;\n    valid = supportedFileFormats.includes(format);\n  }\n\n  if (!valid) {\n    if (strict) {\n      throw new Error(\n        \"Please provide a valid file format that is accepted by Gemini. Learn more about valid formats here: https://ai.google.dev/gemini-api/docs/prompting_with_media?lang=node#supported_file_formats\",\n      );\n    } else {\n      format = \"text/plain\";\n    }\n  }\n\n  return format;\n};\n\n/**\n * Options for initializing a Gemini instance.\n */\nexport interface GeminiOptions {\n  apiVersion?: string;\n  fetch?: typeof fetch;\n}\n\n/**\n * Options for the `ask` method, as well as the `Chat` class.\n */\nexport interface AskOptions {\n  stream?: boolean;\n  model?: string;\n  history?: Content[];\n  generationConfig?: GenerationConfig;\n  safetySettings?: SafetySetting[];\n  systemInstruction?: Content;\n  tools?: Tool[];\n}\n\n/**\n * Types for various methods.\n */\nexport type GenerateResult = GenerateContentResult | GenerateContentStreamResult;\n\n/**\n * Represents a chat session with Gemini.\n */\nexport class Chat {\n  private gemini: Gemini;\n  private history: Content[];\n  private options: AskOptions;\n\n  /**\n   * Creates a new Chat instance.\n   * @param gemini - The Gemini instance to use.\n   * @param options - Optional parameters for the chat.\n   */\n  constructor(gemini: Gemini, options: Partial<AskOptions> = {}) {\n    this.gemini = gemini;\n    this.history = options.history || [];\n    this.options = options;\n  }\n\n  /**\n   * Appends a message to the chat history.\n   * @param message - The message to append.\n   */\n  public appendMessage(message: Content) {\n    this.history.push(message);\n  }\n\n  /**\n   * Sends a message to Gemini and returns the response.\n   * @param message - The message to send.\n   * @param options - Optional parameters for the request.\n   * @returns The response from Gemini. If options.stream = false, returns a single object.\n   * Otherwise, returns an AsyncGenerator of results.\n   */\n  public async ask(message: string | Part[], options: Partial<AskOptions> = {}): Promise<GenerateResult> {\n    const mergedOptions = { ...this.options, ...options };\n    return this.gemini.ask(message, {\n      history: this.history,\n      ...mergedOptions,\n    });\n  }\n}\n\n/**\n * Main class for interacting with the Gemini API.\n */\nexport class Gemini {\n  private genAI: GoogleGenerativeAI;\n  private options: GeminiOptions;\n\n  /**\n   * Creates a new Gemini instance.\n   * @param apiKey - Your API key for the Gemini API.\n   * @param options - Optional parameters for initializing the instance.\n   */\n  constructor(apiKey: string, options: Partial<GeminiOptions> = {}) {\n    this.genAI = new GoogleGenerativeAI(apiKey);\n    this.options = {\n      apiVersion: \"v1beta\",\n      ...options,\n    };\n  }\n\n  /**\n   * Uploads a file to the Gemini API.\n   * @param options - Options for the file upload.\n   * @returns The URI of the uploaded file.\n   */\n  private async uploadFile({ file, mimeType }: { file: Uint8Array | ArrayBuffer; mimeType: string }): Promise<string> {\n    const gemini = this.genAI;\n\n    function generateBoundary(): string {\n      let str = \"\";\n      for (let i = 0; i < 2; i++) {\n        str = str + Math.random().toString().slice(2);\n      }\n      return str;\n    }\n\n    const boundary = generateBoundary();\n    const apiVersion = this.options.apiVersion;\n    const apiKey = gemini.apiKey;\n\n    const generateBlob = (boundary: string, file: Uint8Array | ArrayBuffer, mime: string): Blob =>\n      new Blob([\n        `--${boundary}\\r\\nContent-Type: application/json; charset=utf-8\\r\\n\\r\\n${JSON.stringify({\n          file: {\n            mimeType: mime,\n          },\n        })}\\r\\n--${boundary}\\r\\nContent-Type: ${mime}\\r\\n\\r\\n`,\n        file,\n        `\\r\\n--${boundary}--`,\n      ]);\n\n    const fileSendDataRaw = await fetch(\n      `https://generativelanguage.googleapis.com/upload/${apiVersion}/files?key=${apiKey}`,\n      {\n        method: \"POST\",\n        headers: {\n          \"Content-Type\": `multipart/related; boundary=${boundary}`,\n          \"X-Goog-Upload-Protocol\": \"multipart\",\n        },\n        body: generateBlob(boundary, file, mimeType),\n      },\n    ).then((res: Response) => res.json());\n\n    const fileSendData = fileSendDataRaw.file;\n\n    let waitTime = 250; // Initial wait time in milliseconds\n    const MAX_BACKOFF = 5000; // Maximum backoff time in milliseconds\n\n    // Keep polling until the file state is \"ACTIVE\"\n    while (true) {\n      try {\n        const url = `https://generativelanguage.googleapis.com/${apiVersion}/${fileSendData.name}?key=${apiKey}`;\n\n        const response = await fetch(url, { method: \"GET\" });\n        const data = await response.json();\n\n        if (data.error) {\n          throw new Error(`Google's File API responded with an error: ${data.error.message}`);\n        }\n\n        if (data.state === \"ACTIVE\") break;\n\n        await new Promise((resolve) => setTimeout(resolve, waitTime));\n\n        waitTime = Math.min(waitTime * 1.5, MAX_BACKOFF);\n      } catch (error) {\n        throw new Error(`An error occurred while uploading to Google's File API: ${error.message}`);\n      }\n    }\n\n    return fileSendData.uri;\n  }\n\n  /**\n   * Converts a list of messages or files to Gemini API parts.\n   * @param messages - The messages or files to convert.\n   * @returns An array of Gemini API parts.\n   */\n  public async messageToParts(messages: (string | Uint8Array | ArrayBuffer | FileUpload)[]): Promise<Part[]> {\n    const parts: Part[] = [];\n    let totalBytes = 0;\n\n    for (const msg of messages) {\n      if (typeof msg === \"string\") {\n        parts.push({ text: msg });\n      } else if (msg instanceof ArrayBuffer || msg instanceof Uint8Array || isFileUpload(msg)) {\n        const is_file_upload = isFileUpload(msg);\n        const buffer = is_file_upload ? msg.buffer : msg;\n        const filePath = is_file_upload ? msg.filePath : undefined;\n\n        totalBytes += Buffer.from(buffer).byteLength;\n        const mimeType = await getFileType(buffer, filePath);\n\n        if (!mimeType.startsWith(\"video\")) {\n          const part: InlineDataPart = {\n            inlineData: {\n              mimeType: mimeType,\n              data: Buffer.from(buffer).toString(\"base64\"),\n            },\n          };\n          parts.push(part);\n        } else {\n          const fileURI = await this.uploadFile({\n            file: buffer,\n            mimeType: mimeType,\n          });\n\n          const part: FileDataPart = {\n            fileData: {\n              mimeType: mimeType,\n              fileUri: fileURI,\n            },\n          };\n          parts.push(part);\n        }\n      }\n    }\n\n    if (totalBytes > 20 * 1024 * 1024) {\n      for (const idx in parts) {\n        const part = parts[idx];\n        if (part.inlineData) {\n          const fileURI = await this.uploadFile({\n            file: Buffer.from(part.inlineData.data, \"base64\"),\n            mimeType: part.inlineData.mimeType,\n          });\n          const newPart: FileDataPart = {\n            fileData: {\n              mimeType: part.inlineData.mimeType,\n              fileUri: fileURI,\n            },\n          };\n          parts[idx] = newPart;\n        }\n      }\n    }\n\n    return parts;\n  }\n\n  /**\n   * Sends a request to the Gemini API and returns the response.\n   * @param message - The message to send.\n   * @param options - Optional parameters for the request.\n   * @returns The response from the Gemini API. If options.stream = false, returns a single object.\n   * Otherwise, returns an AsyncGenerator of results.\n   */\n  public async ask(message: string | Part[], options: Partial<AskOptions> = {}): Promise<GenerateResult> {\n    const model = this.genAI.getGenerativeModel(\n      { model: options.model, tools: options.tools },\n      { apiVersion: this.options.apiVersion },\n    );\n    const parts = typeof message === \"string\" ? [{ text: message }] : message;\n\n    const { generationConfig, safetySettings, systemInstruction, history } = options;\n\n    const chat = model.startChat({\n      history: history || [],\n      generationConfig,\n      safetySettings,\n      systemInstruction,\n    });\n\n    if (options.stream) {\n      return chat.sendMessageStream(parts);\n    } else {\n      return chat.sendMessage(parts);\n    }\n  }\n\n  /**\n   * Creates a new chat session.\n   * @param options - Optional parameters for the chat.\n   * @returns A new Chat instance.\n   */\n  public createChat(options: Partial<AskOptions> = {}): Chat {\n    return new Chat(this, options);\n  }\n}\n\nexport default Gemini;\n\n// export constants\nimport * as constants from \"./constants\";\nexport { constants };\n","import { HarmCategory, HarmBlockThreshold, DynamicRetrievalMode } from \"@google/generative-ai\";\n\nexport const safetyDisabledSettings = [\n  { category: HarmCategory.HARM_CATEGORY_HATE_SPEECH, threshold: HarmBlockThreshold.BLOCK_NONE },\n  { category: HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT, threshold: HarmBlockThreshold.BLOCK_NONE },\n  { category: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT, threshold: HarmBlockThreshold.BLOCK_NONE },\n  { category: HarmCategory.HARM_CATEGORY_HARASSMENT, threshold: HarmBlockThreshold.BLOCK_NONE },\n];\n\nexport const defaultTools = {\n  webSearch: {\n    googleSearchRetrieval: {\n      dynamicRetrievalConfig: {\n        mode: DynamicRetrievalMode.MODE_DYNAMIC,\n        dynamicThreshold: 0.7,\n      },\n    },\n  },\n  codeExecution: {\n    codeExecution: {},\n  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