jccp_a/vuepress/node_modules/ai/dist/index.mjs

var __defProp = Object.defineProperty;
var __export = (target, all) => {
  for (var name17 in all)
    __defProp(target, name17, { get: all[name17], enumerable: true });
};

// src/index.ts
import { gateway as gateway2, createGateway } from "@ai-sdk/gateway";
import {
  asSchema as asSchema5,
  createIdGenerator as createIdGenerator5,
  dynamicTool as dynamicTool2,
  generateId as generateId2,
  jsonSchema as jsonSchema2,
  parseJsonEventStream as parseJsonEventStream3,
  tool as tool2,
  zodSchema as zodSchema3
} from "@ai-sdk/provider-utils";

// src/generate-text/generate-text.ts
import {
  createIdGenerator,
  executeTool,
  getErrorMessage as getErrorMessage5,
  withUserAgentSuffix as withUserAgentSuffix2
} from "@ai-sdk/provider-utils";

// src/error/no-output-specified-error.ts
import { AISDKError } from "@ai-sdk/provider";
var name = "AI_NoOutputSpecifiedError";
var marker = `vercel.ai.error.${name}`;
var symbol = Symbol.for(marker);
var _a;
var NoOutputSpecifiedError = class extends AISDKError {
  // used in isInstance
  constructor({ message = "No output specified." } = {}) {
    super({ name, message });
    this[_a] = true;
  }
  static isInstance(error) {
    return AISDKError.hasMarker(error, marker);
  }
};
_a = symbol;

// src/logger/log-warnings.ts
function formatWarning(warning) {
  const prefix = "AI SDK Warning:";
  switch (warning.type) {
    case "unsupported-setting": {
      let message = `${prefix} The "${warning.setting}" setting is not supported by this model`;
      if (warning.details) {
        message += ` - ${warning.details}`;
      }
      return message;
    }
    case "unsupported-tool": {
      const toolName = "name" in warning.tool ? warning.tool.name : "unknown tool";
      let message = `${prefix} The tool "${toolName}" is not supported by this model`;
      if (warning.details) {
        message += ` - ${warning.details}`;
      }
      return message;
    }
    case "other": {
      return `${prefix} ${warning.message}`;
    }
    default: {
      return `${prefix} ${JSON.stringify(warning, null, 2)}`;
    }
  }
}
var FIRST_WARNING_INFO_MESSAGE = "AI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.";
var hasLoggedBefore = false;
var logWarnings = (warnings) => {
  if (warnings.length === 0) {
    return;
  }
  const logger = globalThis.AI_SDK_LOG_WARNINGS;
  if (logger === false) {
    return;
  }
  if (typeof logger === "function") {
    logger(warnings);
    return;
  }
  if (!hasLoggedBefore) {
    hasLoggedBefore = true;
    console.info(FIRST_WARNING_INFO_MESSAGE);
  }
  for (const warning of warnings) {
    console.warn(formatWarning(warning));
  }
};

// src/model/resolve-model.ts
import { gateway } from "@ai-sdk/gateway";

// src/error/index.ts
import {
  AISDKError as AISDKError18,
  APICallError,
  EmptyResponseBodyError,
  InvalidPromptError,
  InvalidResponseDataError,
  JSONParseError,
  LoadAPIKeyError,
  LoadSettingError,
  NoContentGeneratedError,
  NoSuchModelError,
  TooManyEmbeddingValuesForCallError,
  TypeValidationError,
  UnsupportedFunctionalityError
} from "@ai-sdk/provider";

// src/error/invalid-argument-error.ts
import { AISDKError as AISDKError2 } from "@ai-sdk/provider";
var name2 = "AI_InvalidArgumentError";
var marker2 = `vercel.ai.error.${name2}`;
var symbol2 = Symbol.for(marker2);
var _a2;
var InvalidArgumentError = class extends AISDKError2 {
  constructor({
    parameter,
    value,
    message
  }) {
    super({
      name: name2,
      message: `Invalid argument for parameter ${parameter}: ${message}`
    });
    this[_a2] = true;
    this.parameter = parameter;
    this.value = value;
  }
  static isInstance(error) {
    return AISDKError2.hasMarker(error, marker2);
  }
};
_a2 = symbol2;

// src/error/invalid-stream-part-error.ts
import { AISDKError as AISDKError3 } from "@ai-sdk/provider";
var name3 = "AI_InvalidStreamPartError";
var marker3 = `vercel.ai.error.${name3}`;
var symbol3 = Symbol.for(marker3);
var _a3;
var InvalidStreamPartError = class extends AISDKError3 {
  constructor({
    chunk,
    message
  }) {
    super({ name: name3, message });
    this[_a3] = true;
    this.chunk = chunk;
  }
  static isInstance(error) {
    return AISDKError3.hasMarker(error, marker3);
  }
};
_a3 = symbol3;

// src/error/invalid-tool-input-error.ts
import { AISDKError as AISDKError4, getErrorMessage } from "@ai-sdk/provider";
var name4 = "AI_InvalidToolInputError";
var marker4 = `vercel.ai.error.${name4}`;
var symbol4 = Symbol.for(marker4);
var _a4;
var InvalidToolInputError = class extends AISDKError4 {
  constructor({
    toolInput,
    toolName,
    cause,
    message = `Invalid input for tool ${toolName}: ${getErrorMessage(cause)}`
  }) {
    super({ name: name4, message, cause });
    this[_a4] = true;
    this.toolInput = toolInput;
    this.toolName = toolName;
  }
  static isInstance(error) {
    return AISDKError4.hasMarker(error, marker4);
  }
};
_a4 = symbol4;

// src/error/mcp-client-error.ts
import { AISDKError as AISDKError5 } from "@ai-sdk/provider";
var name5 = "AI_MCPClientError";
var marker5 = `vercel.ai.error.${name5}`;
var symbol5 = Symbol.for(marker5);
var _a5;
var MCPClientError = class extends AISDKError5 {
  constructor({
    name: name17 = "MCPClientError",
    message,
    cause,
    data,
    code
  }) {
    super({ name: name17, message, cause });
    this[_a5] = true;
    this.data = data;
    this.code = code;
  }
  static isInstance(error) {
    return AISDKError5.hasMarker(error, marker5);
  }
};
_a5 = symbol5;

// src/error/no-image-generated-error.ts
import { AISDKError as AISDKError6 } from "@ai-sdk/provider";
var name6 = "AI_NoImageGeneratedError";
var marker6 = `vercel.ai.error.${name6}`;
var symbol6 = Symbol.for(marker6);
var _a6;
var NoImageGeneratedError = class extends AISDKError6 {
  constructor({
    message = "No image generated.",
    cause,
    responses
  }) {
    super({ name: name6, message, cause });
    this[_a6] = true;
    this.responses = responses;
  }
  static isInstance(error) {
    return AISDKError6.hasMarker(error, marker6);
  }
};
_a6 = symbol6;

// src/error/no-object-generated-error.ts
import { AISDKError as AISDKError7 } from "@ai-sdk/provider";
var name7 = "AI_NoObjectGeneratedError";
var marker7 = `vercel.ai.error.${name7}`;
var symbol7 = Symbol.for(marker7);
var _a7;
var NoObjectGeneratedError = class extends AISDKError7 {
  constructor({
    message = "No object generated.",
    cause,
    text: text2,
    response,
    usage,
    finishReason
  }) {
    super({ name: name7, message, cause });
    this[_a7] = true;
    this.text = text2;
    this.response = response;
    this.usage = usage;
    this.finishReason = finishReason;
  }
  static isInstance(error) {
    return AISDKError7.hasMarker(error, marker7);
  }
};
_a7 = symbol7;

// src/error/no-output-generated-error.ts
import { AISDKError as AISDKError8 } from "@ai-sdk/provider";
var name8 = "AI_NoOutputGeneratedError";
var marker8 = `vercel.ai.error.${name8}`;
var symbol8 = Symbol.for(marker8);
var _a8;
var NoOutputGeneratedError = class extends AISDKError8 {
  // used in isInstance
  constructor({
    message = "No output generated.",
    cause
  } = {}) {
    super({ name: name8, message, cause });
    this[_a8] = true;
  }
  static isInstance(error) {
    return AISDKError8.hasMarker(error, marker8);
  }
};
_a8 = symbol8;

// src/error/no-speech-generated-error.ts
import { AISDKError as AISDKError9 } from "@ai-sdk/provider";
var NoSpeechGeneratedError = class extends AISDKError9 {
  constructor(options) {
    super({
      name: "AI_NoSpeechGeneratedError",
      message: "No speech audio generated."
    });
    this.responses = options.responses;
  }
};

// src/error/no-such-tool-error.ts
import { AISDKError as AISDKError10 } from "@ai-sdk/provider";
var name9 = "AI_NoSuchToolError";
var marker9 = `vercel.ai.error.${name9}`;
var symbol9 = Symbol.for(marker9);
var _a9;
var NoSuchToolError = class extends AISDKError10 {
  constructor({
    toolName,
    availableTools = void 0,
    message = `Model tried to call unavailable tool '${toolName}'. ${availableTools === void 0 ? "No tools are available." : `Available tools: ${availableTools.join(", ")}.`}`
  }) {
    super({ name: name9, message });
    this[_a9] = true;
    this.toolName = toolName;
    this.availableTools = availableTools;
  }
  static isInstance(error) {
    return AISDKError10.hasMarker(error, marker9);
  }
};
_a9 = symbol9;

// src/error/tool-call-repair-error.ts
import { AISDKError as AISDKError11, getErrorMessage as getErrorMessage2 } from "@ai-sdk/provider";
var name10 = "AI_ToolCallRepairError";
var marker10 = `vercel.ai.error.${name10}`;
var symbol10 = Symbol.for(marker10);
var _a10;
var ToolCallRepairError = class extends AISDKError11 {
  constructor({
    cause,
    originalError,
    message = `Error repairing tool call: ${getErrorMessage2(cause)}`
  }) {
    super({ name: name10, message, cause });
    this[_a10] = true;
    this.originalError = originalError;
  }
  static isInstance(error) {
    return AISDKError11.hasMarker(error, marker10);
  }
};
_a10 = symbol10;

// src/error/unsupported-model-version-error.ts
import { AISDKError as AISDKError12 } from "@ai-sdk/provider";
var UnsupportedModelVersionError = class extends AISDKError12 {
  constructor(options) {
    super({
      name: "AI_UnsupportedModelVersionError",
      message: `Unsupported model version ${options.version} for provider "${options.provider}" and model "${options.modelId}". AI SDK 5 only supports models that implement specification version "v2".`
    });
    this.version = options.version;
    this.provider = options.provider;
    this.modelId = options.modelId;
  }
};

// src/prompt/invalid-data-content-error.ts
import { AISDKError as AISDKError13 } from "@ai-sdk/provider";
var name11 = "AI_InvalidDataContentError";
var marker11 = `vercel.ai.error.${name11}`;
var symbol11 = Symbol.for(marker11);
var _a11;
var InvalidDataContentError = class extends AISDKError13 {
  constructor({
    content,
    cause,
    message = `Invalid data content. Expected a base64 string, Uint8Array, ArrayBuffer, or Buffer, but got ${typeof content}.`
  }) {
    super({ name: name11, message, cause });
    this[_a11] = true;
    this.content = content;
  }
  static isInstance(error) {
    return AISDKError13.hasMarker(error, marker11);
  }
};
_a11 = symbol11;

// src/prompt/invalid-message-role-error.ts
import { AISDKError as AISDKError14 } from "@ai-sdk/provider";
var name12 = "AI_InvalidMessageRoleError";
var marker12 = `vercel.ai.error.${name12}`;
var symbol12 = Symbol.for(marker12);
var _a12;
var InvalidMessageRoleError = class extends AISDKError14 {
  constructor({
    role,
    message = `Invalid message role: '${role}'. Must be one of: "system", "user", "assistant", "tool".`
  }) {
    super({ name: name12, message });
    this[_a12] = true;
    this.role = role;
  }
  static isInstance(error) {
    return AISDKError14.hasMarker(error, marker12);
  }
};
_a12 = symbol12;

// src/prompt/message-conversion-error.ts
import { AISDKError as AISDKError15 } from "@ai-sdk/provider";
var name13 = "AI_MessageConversionError";
var marker13 = `vercel.ai.error.${name13}`;
var symbol13 = Symbol.for(marker13);
var _a13;
var MessageConversionError = class extends AISDKError15 {
  constructor({
    originalMessage,
    message
  }) {
    super({ name: name13, message });
    this[_a13] = true;
    this.originalMessage = originalMessage;
  }
  static isInstance(error) {
    return AISDKError15.hasMarker(error, marker13);
  }
};
_a13 = symbol13;

// src/util/download/download-error.ts
import { AISDKError as AISDKError16 } from "@ai-sdk/provider";
var name14 = "AI_DownloadError";
var marker14 = `vercel.ai.error.${name14}`;
var symbol14 = Symbol.for(marker14);
var _a14;
var DownloadError = class extends AISDKError16 {
  constructor({
    url,
    statusCode,
    statusText,
    cause,
    message = cause == null ? `Failed to download ${url}: ${statusCode} ${statusText}` : `Failed to download ${url}: ${cause}`
  }) {
    super({ name: name14, message, cause });
    this[_a14] = true;
    this.url = url;
    this.statusCode = statusCode;
    this.statusText = statusText;
  }
  static isInstance(error) {
    return AISDKError16.hasMarker(error, marker14);
  }
};
_a14 = symbol14;

// src/util/retry-error.ts
import { AISDKError as AISDKError17 } from "@ai-sdk/provider";
var name15 = "AI_RetryError";
var marker15 = `vercel.ai.error.${name15}`;
var symbol15 = Symbol.for(marker15);
var _a15;
var RetryError = class extends AISDKError17 {
  constructor({
    message,
    reason,
    errors
  }) {
    super({ name: name15, message });
    this[_a15] = true;
    this.reason = reason;
    this.errors = errors;
    this.lastError = errors[errors.length - 1];
  }
  static isInstance(error) {
    return AISDKError17.hasMarker(error, marker15);
  }
};
_a15 = symbol15;

// src/model/resolve-model.ts
function resolveLanguageModel(model) {
  if (typeof model !== "string") {
    if (model.specificationVersion !== "v2") {
      throw new UnsupportedModelVersionError({
        version: model.specificationVersion,
        provider: model.provider,
        modelId: model.modelId
      });
    }
    return model;
  }
  return getGlobalProvider().languageModel(model);
}
function resolveEmbeddingModel(model) {
  if (typeof model !== "string") {
    if (model.specificationVersion !== "v2") {
      throw new UnsupportedModelVersionError({
        version: model.specificationVersion,
        provider: model.provider,
        modelId: model.modelId
      });
    }
    return model;
  }
  return getGlobalProvider().textEmbeddingModel(
    model
  );
}
function getGlobalProvider() {
  var _a17;
  return (_a17 = globalThis.AI_SDK_DEFAULT_PROVIDER) != null ? _a17 : gateway;
}

// src/prompt/convert-to-language-model-prompt.ts
import {
  isUrlSupported
} from "@ai-sdk/provider-utils";

// src/util/detect-media-type.ts
import { convertBase64ToUint8Array } from "@ai-sdk/provider-utils";
var imageMediaTypeSignatures = [
  {
    mediaType: "image/gif",
    bytesPrefix: [71, 73, 70]
    // GIF
  },
  {
    mediaType: "image/png",
    bytesPrefix: [137, 80, 78, 71]
    // PNG
  },
  {
    mediaType: "image/jpeg",
    bytesPrefix: [255, 216]
    // JPEG
  },
  {
    mediaType: "image/webp",
    bytesPrefix: [
      82,
      73,
      70,
      70,
      // "RIFF"
      null,
      null,
      null,
      null,
      // file size (variable)
      87,
      69,
      66,
      80
      // "WEBP"
    ]
  },
  {
    mediaType: "image/bmp",
    bytesPrefix: [66, 77]
  },
  {
    mediaType: "image/tiff",
    bytesPrefix: [73, 73, 42, 0]
  },
  {
    mediaType: "image/tiff",
    bytesPrefix: [77, 77, 0, 42]
  },
  {
    mediaType: "image/avif",
    bytesPrefix: [
      0,
      0,
      0,
      32,
      102,
      116,
      121,
      112,
      97,
      118,
      105,
      102
    ]
  },
  {
    mediaType: "image/heic",
    bytesPrefix: [
      0,
      0,
      0,
      32,
      102,
      116,
      121,
      112,
      104,
      101,
      105,
      99
    ]
  }
];
var audioMediaTypeSignatures = [
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 251]
  },
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 250]
  },
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 243]
  },
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 242]
  },
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 227]
  },
  {
    mediaType: "audio/mpeg",
    bytesPrefix: [255, 226]
  },
  {
    mediaType: "audio/wav",
    bytesPrefix: [
      82,
      // R
      73,
      // I
      70,
      // F
      70,
      // F
      null,
      null,
      null,
      null,
      87,
      // W
      65,
      // A
      86,
      // V
      69
      // E
    ]
  },
  {
    mediaType: "audio/ogg",
    bytesPrefix: [79, 103, 103, 83]
  },
  {
    mediaType: "audio/flac",
    bytesPrefix: [102, 76, 97, 67]
  },
  {
    mediaType: "audio/aac",
    bytesPrefix: [64, 21, 0, 0]
  },
  {
    mediaType: "audio/mp4",
    bytesPrefix: [102, 116, 121, 112]
  },
  {
    mediaType: "audio/webm",
    bytesPrefix: [26, 69, 223, 163]
  }
];
var stripID3 = (data) => {
  const bytes = typeof data === "string" ? convertBase64ToUint8Array(data) : data;
  const id3Size = (bytes[6] & 127) << 21 | (bytes[7] & 127) << 14 | (bytes[8] & 127) << 7 | bytes[9] & 127;
  return bytes.slice(id3Size + 10);
};
function stripID3TagsIfPresent(data) {
  const hasId3 = typeof data === "string" && data.startsWith("SUQz") || typeof data !== "string" && data.length > 10 && data[0] === 73 && // 'I'
  data[1] === 68 && // 'D'
  data[2] === 51;
  return hasId3 ? stripID3(data) : data;
}
function detectMediaType({
  data,
  signatures
}) {
  const processedData = stripID3TagsIfPresent(data);
  const bytes = typeof processedData === "string" ? convertBase64ToUint8Array(
    processedData.substring(0, Math.min(processedData.length, 24))
  ) : processedData;
  for (const signature of signatures) {
    if (bytes.length >= signature.bytesPrefix.length && signature.bytesPrefix.every(
      (byte, index) => byte === null || bytes[index] === byte
    )) {
      return signature.mediaType;
    }
  }
  return void 0;
}

// src/util/download/download.ts
import {
  withUserAgentSuffix,
  getRuntimeEnvironmentUserAgent
} from "@ai-sdk/provider-utils";

// src/version.ts
var VERSION = true ? "5.0.76" : "0.0.0-test";

// src/util/download/download.ts
var download = async ({ url }) => {
  var _a17;
  const urlText = url.toString();
  try {
    const response = await fetch(urlText, {
      headers: withUserAgentSuffix(
        {},
        `ai-sdk/${VERSION}`,
        getRuntimeEnvironmentUserAgent()
      )
    });
    if (!response.ok) {
      throw new DownloadError({
        url: urlText,
        statusCode: response.status,
        statusText: response.statusText
      });
    }
    return {
      data: new Uint8Array(await response.arrayBuffer()),
      mediaType: (_a17 = response.headers.get("content-type")) != null ? _a17 : void 0
    };
  } catch (error) {
    if (DownloadError.isInstance(error)) {
      throw error;
    }
    throw new DownloadError({ url: urlText, cause: error });
  }
};

// src/util/download/download-function.ts
var createDefaultDownloadFunction = (download2 = download) => (requestedDownloads) => Promise.all(
  requestedDownloads.map(
    async (requestedDownload) => requestedDownload.isUrlSupportedByModel ? null : download2(requestedDownload)
  )
);

// src/prompt/data-content.ts
import { AISDKError as AISDKError19 } from "@ai-sdk/provider";
import {
  convertBase64ToUint8Array as convertBase64ToUint8Array2,
  convertUint8ArrayToBase64
} from "@ai-sdk/provider-utils";
import { z } from "zod/v4";

// src/prompt/split-data-url.ts
function splitDataUrl(dataUrl) {
  try {
    const [header, base64Content] = dataUrl.split(",");
    return {
      mediaType: header.split(";")[0].split(":")[1],
      base64Content
    };
  } catch (error) {
    return {
      mediaType: void 0,
      base64Content: void 0
    };
  }
}

// src/prompt/data-content.ts
var dataContentSchema = z.union([
  z.string(),
  z.instanceof(Uint8Array),
  z.instanceof(ArrayBuffer),
  z.custom(
    // Buffer might not be available in some environments such as CloudFlare:
    (value) => {
      var _a17, _b;
      return (_b = (_a17 = globalThis.Buffer) == null ? void 0 : _a17.isBuffer(value)) != null ? _b : false;
    },
    { message: "Must be a Buffer" }
  )
]);
function convertToLanguageModelV2DataContent(content) {
  if (content instanceof Uint8Array) {
    return { data: content, mediaType: void 0 };
  }
  if (content instanceof ArrayBuffer) {
    return { data: new Uint8Array(content), mediaType: void 0 };
  }
  if (typeof content === "string") {
    try {
      content = new URL(content);
    } catch (error) {
    }
  }
  if (content instanceof URL && content.protocol === "data:") {
    const { mediaType: dataUrlMediaType, base64Content } = splitDataUrl(
      content.toString()
    );
    if (dataUrlMediaType == null || base64Content == null) {
      throw new AISDKError19({
        name: "InvalidDataContentError",
        message: `Invalid data URL format in content ${content.toString()}`
      });
    }
    return { data: base64Content, mediaType: dataUrlMediaType };
  }
  return { data: content, mediaType: void 0 };
}
function convertDataContentToBase64String(content) {
  if (typeof content === "string") {
    return content;
  }
  if (content instanceof ArrayBuffer) {
    return convertUint8ArrayToBase64(new Uint8Array(content));
  }
  return convertUint8ArrayToBase64(content);
}
function convertDataContentToUint8Array(content) {
  if (content instanceof Uint8Array) {
    return content;
  }
  if (typeof content === "string") {
    try {
      return convertBase64ToUint8Array2(content);
    } catch (error) {
      throw new InvalidDataContentError({
        message: "Invalid data content. Content string is not a base64-encoded media.",
        content,
        cause: error
      });
    }
  }
  if (content instanceof ArrayBuffer) {
    return new Uint8Array(content);
  }
  throw new InvalidDataContentError({ content });
}

// src/prompt/convert-to-language-model-prompt.ts
async function convertToLanguageModelPrompt({
  prompt,
  supportedUrls,
  download: download2 = createDefaultDownloadFunction()
}) {
  const downloadedAssets = await downloadAssets(
    prompt.messages,
    download2,
    supportedUrls
  );
  return [
    ...prompt.system != null ? [{ role: "system", content: prompt.system }] : [],
    ...prompt.messages.map(
      (message) => convertToLanguageModelMessage({ message, downloadedAssets })
    )
  ];
}
function convertToLanguageModelMessage({
  message,
  downloadedAssets
}) {
  const role = message.role;
  switch (role) {
    case "system": {
      return {
        role: "system",
        content: message.content,
        providerOptions: message.providerOptions
      };
    }
    case "user": {
      if (typeof message.content === "string") {
        return {
          role: "user",
          content: [{ type: "text", text: message.content }],
          providerOptions: message.providerOptions
        };
      }
      return {
        role: "user",
        content: message.content.map((part) => convertPartToLanguageModelPart(part, downloadedAssets)).filter((part) => part.type !== "text" || part.text !== ""),
        providerOptions: message.providerOptions
      };
    }
    case "assistant": {
      if (typeof message.content === "string") {
        return {
          role: "assistant",
          content: [{ type: "text", text: message.content }],
          providerOptions: message.providerOptions
        };
      }
      return {
        role: "assistant",
        content: message.content.filter(
          // remove empty text parts (no text, and no provider options):
          (part) => part.type !== "text" || part.text !== "" || part.providerOptions != null
        ).map((part) => {
          const providerOptions = part.providerOptions;
          switch (part.type) {
            case "file": {
              const { data, mediaType } = convertToLanguageModelV2DataContent(
                part.data
              );
              return {
                type: "file",
                data,
                filename: part.filename,
                mediaType: mediaType != null ? mediaType : part.mediaType,
                providerOptions
              };
            }
            case "reasoning": {
              return {
                type: "reasoning",
                text: part.text,
                providerOptions
              };
            }
            case "text": {
              return {
                type: "text",
                text: part.text,
                providerOptions
              };
            }
            case "tool-call": {
              return {
                type: "tool-call",
                toolCallId: part.toolCallId,
                toolName: part.toolName,
                input: part.input,
                providerExecuted: part.providerExecuted,
                providerOptions
              };
            }
            case "tool-result": {
              return {
                type: "tool-result",
                toolCallId: part.toolCallId,
                toolName: part.toolName,
                output: part.output,
                providerOptions
              };
            }
          }
        }),
        providerOptions: message.providerOptions
      };
    }
    case "tool": {
      return {
        role: "tool",
        content: message.content.map((part) => ({
          type: "tool-result",
          toolCallId: part.toolCallId,
          toolName: part.toolName,
          output: part.output,
          providerOptions: part.providerOptions
        })),
        providerOptions: message.providerOptions
      };
    }
    default: {
      const _exhaustiveCheck = role;
      throw new InvalidMessageRoleError({ role: _exhaustiveCheck });
    }
  }
}
async function downloadAssets(messages, download2, supportedUrls) {
  const plannedDownloads = messages.filter((message) => message.role === "user").map((message) => message.content).filter(
    (content) => Array.isArray(content)
  ).flat().filter(
    (part) => part.type === "image" || part.type === "file"
  ).map((part) => {
    var _a17;
    const mediaType = (_a17 = part.mediaType) != null ? _a17 : part.type === "image" ? "image/*" : void 0;
    let data = part.type === "image" ? part.image : part.data;
    if (typeof data === "string") {
      try {
        data = new URL(data);
      } catch (ignored) {
      }
    }
    return { mediaType, data };
  }).filter(
    (part) => part.data instanceof URL
  ).map((part) => ({
    url: part.data,
    isUrlSupportedByModel: part.mediaType != null && isUrlSupported({
      url: part.data.toString(),
      mediaType: part.mediaType,
      supportedUrls
    })
  }));
  const downloadedFiles = await download2(plannedDownloads);
  return Object.fromEntries(
    downloadedFiles.map(
      (file, index) => file == null ? null : [
        plannedDownloads[index].url.toString(),
        { data: file.data, mediaType: file.mediaType }
      ]
    ).filter((file) => file != null)
  );
}
function convertPartToLanguageModelPart(part, downloadedAssets) {
  var _a17;
  if (part.type === "text") {
    return {
      type: "text",
      text: part.text,
      providerOptions: part.providerOptions
    };
  }
  let originalData;
  const type = part.type;
  switch (type) {
    case "image":
      originalData = part.image;
      break;
    case "file":
      originalData = part.data;
      break;
    default:
      throw new Error(`Unsupported part type: ${type}`);
  }
  const { data: convertedData, mediaType: convertedMediaType } = convertToLanguageModelV2DataContent(originalData);
  let mediaType = convertedMediaType != null ? convertedMediaType : part.mediaType;
  let data = convertedData;
  if (data instanceof URL) {
    const downloadedFile = downloadedAssets[data.toString()];
    if (downloadedFile) {
      data = downloadedFile.data;
      mediaType != null ? mediaType : mediaType = downloadedFile.mediaType;
    }
  }
  switch (type) {
    case "image": {
      if (data instanceof Uint8Array || typeof data === "string") {
        mediaType = (_a17 = detectMediaType({ data, signatures: imageMediaTypeSignatures })) != null ? _a17 : mediaType;
      }
      return {
        type: "file",
        mediaType: mediaType != null ? mediaType : "image/*",
        // any image
        filename: void 0,
        data,
        providerOptions: part.providerOptions
      };
    }
    case "file": {
      if (mediaType == null) {
        throw new Error(`Media type is missing for file part`);
      }
      return {
        type: "file",
        mediaType,
        filename: part.filename,
        data,
        providerOptions: part.providerOptions
      };
    }
  }
}

// src/prompt/prepare-call-settings.ts
function prepareCallSettings({
  maxOutputTokens,
  temperature,
  topP,
  topK,
  presencePenalty,
  frequencyPenalty,
  seed,
  stopSequences
}) {
  if (maxOutputTokens != null) {
    if (!Number.isInteger(maxOutputTokens)) {
      throw new InvalidArgumentError({
        parameter: "maxOutputTokens",
        value: maxOutputTokens,
        message: "maxOutputTokens must be an integer"
      });
    }
    if (maxOutputTokens < 1) {
      throw new InvalidArgumentError({
        parameter: "maxOutputTokens",
        value: maxOutputTokens,
        message: "maxOutputTokens must be >= 1"
      });
    }
  }
  if (temperature != null) {
    if (typeof temperature !== "number") {
      throw new InvalidArgumentError({
        parameter: "temperature",
        value: temperature,
        message: "temperature must be a number"
      });
    }
  }
  if (topP != null) {
    if (typeof topP !== "number") {
      throw new InvalidArgumentError({
        parameter: "topP",
        value: topP,
        message: "topP must be a number"
      });
    }
  }
  if (topK != null) {
    if (typeof topK !== "number") {
      throw new InvalidArgumentError({
        parameter: "topK",
        value: topK,
        message: "topK must be a number"
      });
    }
  }
  if (presencePenalty != null) {
    if (typeof presencePenalty !== "number") {
      throw new InvalidArgumentError({
        parameter: "presencePenalty",
        value: presencePenalty,
        message: "presencePenalty must be a number"
      });
    }
  }
  if (frequencyPenalty != null) {
    if (typeof frequencyPenalty !== "number") {
      throw new InvalidArgumentError({
        parameter: "frequencyPenalty",
        value: frequencyPenalty,
        message: "frequencyPenalty must be a number"
      });
    }
  }
  if (seed != null) {
    if (!Number.isInteger(seed)) {
      throw new InvalidArgumentError({
        parameter: "seed",
        value: seed,
        message: "seed must be an integer"
      });
    }
  }
  return {
    maxOutputTokens,
    temperature,
    topP,
    topK,
    presencePenalty,
    frequencyPenalty,
    stopSequences,
    seed
  };
}

// src/prompt/prepare-tools-and-tool-choice.ts
import { asSchema } from "@ai-sdk/provider-utils";

// src/util/is-non-empty-object.ts
function isNonEmptyObject(object2) {
  return object2 != null && Object.keys(object2).length > 0;
}

// src/prompt/prepare-tools-and-tool-choice.ts
function prepareToolsAndToolChoice({
  tools,
  toolChoice,
  activeTools
}) {
  if (!isNonEmptyObject(tools)) {
    return {
      tools: void 0,
      toolChoice: void 0
    };
  }
  const filteredTools = activeTools != null ? Object.entries(tools).filter(
    ([name17]) => activeTools.includes(name17)
  ) : Object.entries(tools);
  return {
    tools: filteredTools.map(([name17, tool3]) => {
      const toolType = tool3.type;
      switch (toolType) {
        case void 0:
        case "dynamic":
        case "function":
          return {
            type: "function",
            name: name17,
            description: tool3.description,
            inputSchema: asSchema(tool3.inputSchema).jsonSchema,
            providerOptions: tool3.providerOptions
          };
        case "provider-defined":
          return {
            type: "provider-defined",
            name: name17,
            id: tool3.id,
            args: tool3.args
          };
        default: {
          const exhaustiveCheck = toolType;
          throw new Error(`Unsupported tool type: ${exhaustiveCheck}`);
        }
      }
    }),
    toolChoice: toolChoice == null ? { type: "auto" } : typeof toolChoice === "string" ? { type: toolChoice } : { type: "tool", toolName: toolChoice.toolName }
  };
}

// src/prompt/standardize-prompt.ts
import { InvalidPromptError as InvalidPromptError2 } from "@ai-sdk/provider";
import { safeValidateTypes } from "@ai-sdk/provider-utils";
import { z as z6 } from "zod/v4";

// src/prompt/message.ts
import { z as z5 } from "zod/v4";

// src/types/provider-metadata.ts
import { z as z3 } from "zod/v4";

// src/types/json-value.ts
import { z as z2 } from "zod/v4";
var jsonValueSchema = z2.lazy(
  () => z2.union([
    z2.null(),
    z2.string(),
    z2.number(),
    z2.boolean(),
    z2.record(z2.string(), jsonValueSchema),
    z2.array(jsonValueSchema)
  ])
);

// src/types/provider-metadata.ts
var providerMetadataSchema = z3.record(
  z3.string(),
  z3.record(z3.string(), jsonValueSchema)
);

// src/prompt/content-part.ts
import { z as z4 } from "zod/v4";
var textPartSchema = z4.object({
  type: z4.literal("text"),
  text: z4.string(),
  providerOptions: providerMetadataSchema.optional()
});
var imagePartSchema = z4.object({
  type: z4.literal("image"),
  image: z4.union([dataContentSchema, z4.instanceof(URL)]),
  mediaType: z4.string().optional(),
  providerOptions: providerMetadataSchema.optional()
});
var filePartSchema = z4.object({
  type: z4.literal("file"),
  data: z4.union([dataContentSchema, z4.instanceof(URL)]),
  filename: z4.string().optional(),
  mediaType: z4.string(),
  providerOptions: providerMetadataSchema.optional()
});
var reasoningPartSchema = z4.object({
  type: z4.literal("reasoning"),
  text: z4.string(),
  providerOptions: providerMetadataSchema.optional()
});
var toolCallPartSchema = z4.object({
  type: z4.literal("tool-call"),
  toolCallId: z4.string(),
  toolName: z4.string(),
  input: z4.unknown(),
  providerOptions: providerMetadataSchema.optional(),
  providerExecuted: z4.boolean().optional()
});
var outputSchema = z4.discriminatedUnion("type", [
  z4.object({
    type: z4.literal("text"),
    value: z4.string()
  }),
  z4.object({
    type: z4.literal("json"),
    value: jsonValueSchema
  }),
  z4.object({
    type: z4.literal("error-text"),
    value: z4.string()
  }),
  z4.object({
    type: z4.literal("error-json"),
    value: jsonValueSchema
  }),
  z4.object({
    type: z4.literal("content"),
    value: z4.array(
      z4.union([
        z4.object({
          type: z4.literal("text"),
          text: z4.string()
        }),
        z4.object({
          type: z4.literal("media"),
          data: z4.string(),
          mediaType: z4.string()
        })
      ])
    )
  })
]);
var toolResultPartSchema = z4.object({
  type: z4.literal("tool-result"),
  toolCallId: z4.string(),
  toolName: z4.string(),
  output: outputSchema,
  providerOptions: providerMetadataSchema.optional()
});

// src/prompt/message.ts
var systemModelMessageSchema = z5.object(
  {
    role: z5.literal("system"),
    content: z5.string(),
    providerOptions: providerMetadataSchema.optional()
  }
);
var coreSystemMessageSchema = systemModelMessageSchema;
var userModelMessageSchema = z5.object({
  role: z5.literal("user"),
  content: z5.union([
    z5.string(),
    z5.array(z5.union([textPartSchema, imagePartSchema, filePartSchema]))
  ]),
  providerOptions: providerMetadataSchema.optional()
});
var coreUserMessageSchema = userModelMessageSchema;
var assistantModelMessageSchema = z5.object({
  role: z5.literal("assistant"),
  content: z5.union([
    z5.string(),
    z5.array(
      z5.union([
        textPartSchema,
        filePartSchema,
        reasoningPartSchema,
        toolCallPartSchema,
        toolResultPartSchema
      ])
    )
  ]),
  providerOptions: providerMetadataSchema.optional()
});
var coreAssistantMessageSchema = assistantModelMessageSchema;
var toolModelMessageSchema = z5.object({
  role: z5.literal("tool"),
  content: z5.array(toolResultPartSchema),
  providerOptions: providerMetadataSchema.optional()
});
var coreToolMessageSchema = toolModelMessageSchema;
var modelMessageSchema = z5.union([
  systemModelMessageSchema,
  userModelMessageSchema,
  assistantModelMessageSchema,
  toolModelMessageSchema
]);
var coreMessageSchema = modelMessageSchema;

// src/prompt/standardize-prompt.ts
async function standardizePrompt(prompt) {
  if (prompt.prompt == null && prompt.messages == null) {
    throw new InvalidPromptError2({
      prompt,
      message: "prompt or messages must be defined"
    });
  }
  if (prompt.prompt != null && prompt.messages != null) {
    throw new InvalidPromptError2({
      prompt,
      message: "prompt and messages cannot be defined at the same time"
    });
  }
  if (prompt.system != null && typeof prompt.system !== "string") {
    throw new InvalidPromptError2({
      prompt,
      message: "system must be a string"
    });
  }
  let messages;
  if (prompt.prompt != null && typeof prompt.prompt === "string") {
    messages = [{ role: "user", content: prompt.prompt }];
  } else if (prompt.prompt != null && Array.isArray(prompt.prompt)) {
    messages = prompt.prompt;
  } else if (prompt.messages != null) {
    messages = prompt.messages;
  } else {
    throw new InvalidPromptError2({
      prompt,
      message: "prompt or messages must be defined"
    });
  }
  if (messages.length === 0) {
    throw new InvalidPromptError2({
      prompt,
      message: "messages must not be empty"
    });
  }
  const validationResult = await safeValidateTypes({
    value: messages,
    schema: z6.array(modelMessageSchema)
  });
  if (!validationResult.success) {
    throw new InvalidPromptError2({
      prompt,
      message: "The messages must be a ModelMessage[]. If you have passed a UIMessage[], you can use convertToModelMessages to convert them.",
      cause: validationResult.error
    });
  }
  return {
    messages,
    system: prompt.system
  };
}

// src/prompt/wrap-gateway-error.ts
import {
  GatewayAuthenticationError,
  GatewayModelNotFoundError
} from "@ai-sdk/gateway";
import { AISDKError as AISDKError20 } from "@ai-sdk/provider";
function wrapGatewayError(error) {
  if (GatewayAuthenticationError.isInstance(error) || GatewayModelNotFoundError.isInstance(error)) {
    return new AISDKError20({
      name: "GatewayError",
      message: "Vercel AI Gateway access failed. If you want to use AI SDK providers directly, use the providers, e.g. @ai-sdk/openai, or register a different global default provider.",
      cause: error
    });
  }
  return error;
}

// src/telemetry/assemble-operation-name.ts
function assembleOperationName({
  operationId,
  telemetry
}) {
  return {
    // standardized operation and resource name:
    "operation.name": `${operationId}${(telemetry == null ? void 0 : telemetry.functionId) != null ? ` ${telemetry.functionId}` : ""}`,
    "resource.name": telemetry == null ? void 0 : telemetry.functionId,
    // detailed, AI SDK specific data:
    "ai.operationId": operationId,
    "ai.telemetry.functionId": telemetry == null ? void 0 : telemetry.functionId
  };
}

// src/telemetry/get-base-telemetry-attributes.ts
function getBaseTelemetryAttributes({
  model,
  settings,
  telemetry,
  headers
}) {
  var _a17;
  return {
    "ai.model.provider": model.provider,
    "ai.model.id": model.modelId,
    // settings:
    ...Object.entries(settings).reduce((attributes, [key, value]) => {
      attributes[`ai.settings.${key}`] = value;
      return attributes;
    }, {}),
    // add metadata as attributes:
    ...Object.entries((_a17 = telemetry == null ? void 0 : telemetry.metadata) != null ? _a17 : {}).reduce(
      (attributes, [key, value]) => {
        attributes[`ai.telemetry.metadata.${key}`] = value;
        return attributes;
      },
      {}
    ),
    // request headers
    ...Object.entries(headers != null ? headers : {}).reduce((attributes, [key, value]) => {
      if (value !== void 0) {
        attributes[`ai.request.headers.${key}`] = value;
      }
      return attributes;
    }, {})
  };
}

// src/telemetry/get-tracer.ts
import { trace } from "@opentelemetry/api";

// src/telemetry/noop-tracer.ts
var noopTracer = {
  startSpan() {
    return noopSpan;
  },
  startActiveSpan(name17, arg1, arg2, arg3) {
    if (typeof arg1 === "function") {
      return arg1(noopSpan);
    }
    if (typeof arg2 === "function") {
      return arg2(noopSpan);
    }
    if (typeof arg3 === "function") {
      return arg3(noopSpan);
    }
  }
};
var noopSpan = {
  spanContext() {
    return noopSpanContext;
  },
  setAttribute() {
    return this;
  },
  setAttributes() {
    return this;
  },
  addEvent() {
    return this;
  },
  addLink() {
    return this;
  },
  addLinks() {
    return this;
  },
  setStatus() {
    return this;
  },
  updateName() {
    return this;
  },
  end() {
    return this;
  },
  isRecording() {
    return false;
  },
  recordException() {
    return this;
  }
};
var noopSpanContext = {
  traceId: "",
  spanId: "",
  traceFlags: 0
};

// src/telemetry/get-tracer.ts
function getTracer({
  isEnabled = false,
  tracer
} = {}) {
  if (!isEnabled) {
    return noopTracer;
  }
  if (tracer) {
    return tracer;
  }
  return trace.getTracer("ai");
}

// src/telemetry/record-span.ts
import { SpanStatusCode } from "@opentelemetry/api";
function recordSpan({
  name: name17,
  tracer,
  attributes,
  fn,
  endWhenDone = true
}) {
  return tracer.startActiveSpan(name17, { attributes }, async (span) => {
    try {
      const result = await fn(span);
      if (endWhenDone) {
        span.end();
      }
      return result;
    } catch (error) {
      try {
        recordErrorOnSpan(span, error);
      } finally {
        span.end();
      }
      throw error;
    }
  });
}
function recordErrorOnSpan(span, error) {
  if (error instanceof Error) {
    span.recordException({
      name: error.name,
      message: error.message,
      stack: error.stack
    });
    span.setStatus({
      code: SpanStatusCode.ERROR,
      message: error.message
    });
  } else {
    span.setStatus({ code: SpanStatusCode.ERROR });
  }
}

// src/telemetry/select-telemetry-attributes.ts
function selectTelemetryAttributes({
  telemetry,
  attributes
}) {
  if ((telemetry == null ? void 0 : telemetry.isEnabled) !== true) {
    return {};
  }
  return Object.entries(attributes).reduce((attributes2, [key, value]) => {
    if (value == null) {
      return attributes2;
    }
    if (typeof value === "object" && "input" in value && typeof value.input === "function") {
      if ((telemetry == null ? void 0 : telemetry.recordInputs) === false) {
        return attributes2;
      }
      const result = value.input();
      return result == null ? attributes2 : { ...attributes2, [key]: result };
    }
    if (typeof value === "object" && "output" in value && typeof value.output === "function") {
      if ((telemetry == null ? void 0 : telemetry.recordOutputs) === false) {
        return attributes2;
      }
      const result = value.output();
      return result == null ? attributes2 : { ...attributes2, [key]: result };
    }
    return { ...attributes2, [key]: value };
  }, {});
}

// src/telemetry/stringify-for-telemetry.ts
function stringifyForTelemetry(prompt) {
  return JSON.stringify(
    prompt.map((message) => ({
      ...message,
      content: typeof message.content === "string" ? message.content : message.content.map(
        (part) => part.type === "file" ? {
          ...part,
          data: part.data instanceof Uint8Array ? convertDataContentToBase64String(part.data) : part.data
        } : part
      )
    }))
  );
}

// src/types/usage.ts
function addLanguageModelUsage(usage1, usage2) {
  return {
    inputTokens: addTokenCounts(usage1.inputTokens, usage2.inputTokens),
    outputTokens: addTokenCounts(usage1.outputTokens, usage2.outputTokens),
    totalTokens: addTokenCounts(usage1.totalTokens, usage2.totalTokens),
    reasoningTokens: addTokenCounts(
      usage1.reasoningTokens,
      usage2.reasoningTokens
    ),
    cachedInputTokens: addTokenCounts(
      usage1.cachedInputTokens,
      usage2.cachedInputTokens
    )
  };
}
function addTokenCounts(tokenCount1, tokenCount2) {
  return tokenCount1 == null && tokenCount2 == null ? void 0 : (tokenCount1 != null ? tokenCount1 : 0) + (tokenCount2 != null ? tokenCount2 : 0);
}

// src/util/as-array.ts
function asArray(value) {
  return value === void 0 ? [] : Array.isArray(value) ? value : [value];
}

// src/util/retry-with-exponential-backoff.ts
import { APICallError as APICallError2 } from "@ai-sdk/provider";
import { delay, getErrorMessage as getErrorMessage3, isAbortError } from "@ai-sdk/provider-utils";
function getRetryDelayInMs({
  error,
  exponentialBackoffDelay
}) {
  const headers = error.responseHeaders;
  if (!headers)
    return exponentialBackoffDelay;
  let ms;
  const retryAfterMs = headers["retry-after-ms"];
  if (retryAfterMs) {
    const timeoutMs = parseFloat(retryAfterMs);
    if (!Number.isNaN(timeoutMs)) {
      ms = timeoutMs;
    }
  }
  const retryAfter = headers["retry-after"];
  if (retryAfter && ms === void 0) {
    const timeoutSeconds = parseFloat(retryAfter);
    if (!Number.isNaN(timeoutSeconds)) {
      ms = timeoutSeconds * 1e3;
    } else {
      ms = Date.parse(retryAfter) - Date.now();
    }
  }
  if (ms != null && !Number.isNaN(ms) && 0 <= ms && (ms < 60 * 1e3 || ms < exponentialBackoffDelay)) {
    return ms;
  }
  return exponentialBackoffDelay;
}
var retryWithExponentialBackoffRespectingRetryHeaders = ({
  maxRetries = 2,
  initialDelayInMs = 2e3,
  backoffFactor = 2,
  abortSignal
} = {}) => async (f) => _retryWithExponentialBackoff(f, {
  maxRetries,
  delayInMs: initialDelayInMs,
  backoffFactor,
  abortSignal
});
async function _retryWithExponentialBackoff(f, {
  maxRetries,
  delayInMs,
  backoffFactor,
  abortSignal
}, errors = []) {
  try {
    return await f();
  } catch (error) {
    if (isAbortError(error)) {
      throw error;
    }
    if (maxRetries === 0) {
      throw error;
    }
    const errorMessage = getErrorMessage3(error);
    const newErrors = [...errors, error];
    const tryNumber = newErrors.length;
    if (tryNumber > maxRetries) {
      throw new RetryError({
        message: `Failed after ${tryNumber} attempts. Last error: ${errorMessage}`,
        reason: "maxRetriesExceeded",
        errors: newErrors
      });
    }
    if (error instanceof Error && APICallError2.isInstance(error) && error.isRetryable === true && tryNumber <= maxRetries) {
      await delay(
        getRetryDelayInMs({
          error,
          exponentialBackoffDelay: delayInMs
        }),
        { abortSignal }
      );
      return _retryWithExponentialBackoff(
        f,
        {
          maxRetries,
          delayInMs: backoffFactor * delayInMs,
          backoffFactor,
          abortSignal
        },
        newErrors
      );
    }
    if (tryNumber === 1) {
      throw error;
    }
    throw new RetryError({
      message: `Failed after ${tryNumber} attempts with non-retryable error: '${errorMessage}'`,
      reason: "errorNotRetryable",
      errors: newErrors
    });
  }
}

// src/util/prepare-retries.ts
function prepareRetries({
  maxRetries,
  abortSignal
}) {
  if (maxRetries != null) {
    if (!Number.isInteger(maxRetries)) {
      throw new InvalidArgumentError({
        parameter: "maxRetries",
        value: maxRetries,
        message: "maxRetries must be an integer"
      });
    }
    if (maxRetries < 0) {
      throw new InvalidArgumentError({
        parameter: "maxRetries",
        value: maxRetries,
        message: "maxRetries must be >= 0"
      });
    }
  }
  const maxRetriesResult = maxRetries != null ? maxRetries : 2;
  return {
    maxRetries: maxRetriesResult,
    retry: retryWithExponentialBackoffRespectingRetryHeaders({
      maxRetries: maxRetriesResult,
      abortSignal
    })
  };
}

// src/generate-text/extract-text-content.ts
function extractTextContent(content) {
  const parts = content.filter(
    (content2) => content2.type === "text"
  );
  if (parts.length === 0) {
    return void 0;
  }
  return parts.map((content2) => content2.text).join("");
}

// src/generate-text/generated-file.ts
import {
  convertBase64ToUint8Array as convertBase64ToUint8Array3,
  convertUint8ArrayToBase64 as convertUint8ArrayToBase642
} from "@ai-sdk/provider-utils";
var DefaultGeneratedFile = class {
  constructor({
    data,
    mediaType
  }) {
    const isUint8Array = data instanceof Uint8Array;
    this.base64Data = isUint8Array ? void 0 : data;
    this.uint8ArrayData = isUint8Array ? data : void 0;
    this.mediaType = mediaType;
  }
  // lazy conversion with caching to avoid unnecessary conversion overhead:
  get base64() {
    if (this.base64Data == null) {
      this.base64Data = convertUint8ArrayToBase642(this.uint8ArrayData);
    }
    return this.base64Data;
  }
  // lazy conversion with caching to avoid unnecessary conversion overhead:
  get uint8Array() {
    if (this.uint8ArrayData == null) {
      this.uint8ArrayData = convertBase64ToUint8Array3(this.base64Data);
    }
    return this.uint8ArrayData;
  }
};
var DefaultGeneratedFileWithType = class extends DefaultGeneratedFile {
  constructor(options) {
    super(options);
    this.type = "file";
  }
};

// src/generate-text/parse-tool-call.ts
import {
  asSchema as asSchema2,
  safeParseJSON,
  safeValidateTypes as safeValidateTypes2
} from "@ai-sdk/provider-utils";
async function parseToolCall({
  toolCall,
  tools,
  repairToolCall,
  system,
  messages
}) {
  try {
    if (tools == null) {
      throw new NoSuchToolError({ toolName: toolCall.toolName });
    }
    try {
      return await doParseToolCall({ toolCall, tools });
    } catch (error) {
      if (repairToolCall == null || !(NoSuchToolError.isInstance(error) || InvalidToolInputError.isInstance(error))) {
        throw error;
      }
      let repairedToolCall = null;
      try {
        repairedToolCall = await repairToolCall({
          toolCall,
          tools,
          inputSchema: ({ toolName }) => {
            const { inputSchema } = tools[toolName];
            return asSchema2(inputSchema).jsonSchema;
          },
          system,
          messages,
          error
        });
      } catch (repairError) {
        throw new ToolCallRepairError({
          cause: repairError,
          originalError: error
        });
      }
      if (repairedToolCall == null) {
        throw error;
      }
      return await doParseToolCall({ toolCall: repairedToolCall, tools });
    }
  } catch (error) {
    const parsedInput = await safeParseJSON({ text: toolCall.input });
    const input = parsedInput.success ? parsedInput.value : toolCall.input;
    return {
      type: "tool-call",
      toolCallId: toolCall.toolCallId,
      toolName: toolCall.toolName,
      input,
      dynamic: true,
      invalid: true,
      error
    };
  }
}
async function doParseToolCall({
  toolCall,
  tools
}) {
  const toolName = toolCall.toolName;
  const tool3 = tools[toolName];
  if (tool3 == null) {
    throw new NoSuchToolError({
      toolName: toolCall.toolName,
      availableTools: Object.keys(tools)
    });
  }
  const schema = asSchema2(tool3.inputSchema);
  const parseResult = toolCall.input.trim() === "" ? await safeValidateTypes2({ value: {}, schema }) : await safeParseJSON({ text: toolCall.input, schema });
  if (parseResult.success === false) {
    throw new InvalidToolInputError({
      toolName,
      toolInput: toolCall.input,
      cause: parseResult.error
    });
  }
  return tool3.type === "dynamic" ? {
    type: "tool-call",
    toolCallId: toolCall.toolCallId,
    toolName: toolCall.toolName,
    input: parseResult.value,
    providerExecuted: toolCall.providerExecuted,
    providerMetadata: toolCall.providerMetadata,
    dynamic: true
  } : {
    type: "tool-call",
    toolCallId: toolCall.toolCallId,
    toolName,
    input: parseResult.value,
    providerExecuted: toolCall.providerExecuted,
    providerMetadata: toolCall.providerMetadata
  };
}

// src/generate-text/step-result.ts
var DefaultStepResult = class {
  constructor({
    content,
    finishReason,
    usage,
    warnings,
    request,
    response,
    providerMetadata
  }) {
    this.content = content;
    this.finishReason = finishReason;
    this.usage = usage;
    this.warnings = warnings;
    this.request = request;
    this.response = response;
    this.providerMetadata = providerMetadata;
  }
  get text() {
    return this.content.filter((part) => part.type === "text").map((part) => part.text).join("");
  }
  get reasoning() {
    return this.content.filter((part) => part.type === "reasoning");
  }
  get reasoningText() {
    return this.reasoning.length === 0 ? void 0 : this.reasoning.map((part) => part.text).join("");
  }
  get files() {
    return this.content.filter((part) => part.type === "file").map((part) => part.file);
  }
  get sources() {
    return this.content.filter((part) => part.type === "source");
  }
  get toolCalls() {
    return this.content.filter((part) => part.type === "tool-call");
  }
  get staticToolCalls() {
    return this.toolCalls.filter(
      (toolCall) => toolCall.dynamic !== true
    );
  }
  get dynamicToolCalls() {
    return this.toolCalls.filter(
      (toolCall) => toolCall.dynamic === true
    );
  }
  get toolResults() {
    return this.content.filter((part) => part.type === "tool-result");
  }
  get staticToolResults() {
    return this.toolResults.filter(
      (toolResult) => toolResult.dynamic !== true
    );
  }
  get dynamicToolResults() {
    return this.toolResults.filter(
      (toolResult) => toolResult.dynamic === true
    );
  }
};

// src/generate-text/stop-condition.ts
function stepCountIs(stepCount) {
  return ({ steps }) => steps.length === stepCount;
}
function hasToolCall(toolName) {
  return ({ steps }) => {
    var _a17, _b, _c;
    return (_c = (_b = (_a17 = steps[steps.length - 1]) == null ? void 0 : _a17.toolCalls) == null ? void 0 : _b.some(
      (toolCall) => toolCall.toolName === toolName
    )) != null ? _c : false;
  };
}
async function isStopConditionMet({
  stopConditions,
  steps
}) {
  return (await Promise.all(stopConditions.map((condition) => condition({ steps })))).some((result) => result);
}

// src/prompt/create-tool-model-output.ts
import {
  getErrorMessage as getErrorMessage4
} from "@ai-sdk/provider";
function createToolModelOutput({
  output,
  tool: tool3,
  errorMode
}) {
  if (errorMode === "text") {
    return { type: "error-text", value: getErrorMessage4(output) };
  } else if (errorMode === "json") {
    return { type: "error-json", value: toJSONValue(output) };
  }
  if (tool3 == null ? void 0 : tool3.toModelOutput) {
    return tool3.toModelOutput(output);
  }
  return typeof output === "string" ? { type: "text", value: output } : { type: "json", value: toJSONValue(output) };
}
function toJSONValue(value) {
  return value === void 0 ? null : value;
}

// src/generate-text/to-response-messages.ts
function toResponseMessages({
  content: inputContent,
  tools
}) {
  const responseMessages = [];
  const content = inputContent.filter((part) => part.type !== "source").filter(
    (part) => (part.type !== "tool-result" || part.providerExecuted) && (part.type !== "tool-error" || part.providerExecuted)
  ).filter((part) => part.type !== "text" || part.text.length > 0).map((part) => {
    switch (part.type) {
      case "text":
        return {
          type: "text",
          text: part.text,
          providerOptions: part.providerMetadata
        };
      case "reasoning":
        return {
          type: "reasoning",
          text: part.text,
          providerOptions: part.providerMetadata
        };
      case "file":
        return {
          type: "file",
          data: part.file.base64,
          mediaType: part.file.mediaType,
          providerOptions: part.providerMetadata
        };
      case "tool-call":
        return {
          type: "tool-call",
          toolCallId: part.toolCallId,
          toolName: part.toolName,
          input: part.input,
          providerExecuted: part.providerExecuted,
          providerOptions: part.providerMetadata
        };
      case "tool-result":
        return {
          type: "tool-result",
          toolCallId: part.toolCallId,
          toolName: part.toolName,
          output: createToolModelOutput({
            tool: tools == null ? void 0 : tools[part.toolName],
            output: part.output,
            errorMode: "none"
          }),
          providerExecuted: true,
          providerOptions: part.providerMetadata
        };
      case "tool-error":
        return {
          type: "tool-result",
          toolCallId: part.toolCallId,
          toolName: part.toolName,
          output: createToolModelOutput({
            tool: tools == null ? void 0 : tools[part.toolName],
            output: part.error,
            errorMode: "json"
          }),
          providerOptions: part.providerMetadata
        };
    }
  });
  if (content.length > 0) {
    responseMessages.push({
      role: "assistant",
      content
    });
  }
  const toolResultContent = inputContent.filter((part) => part.type === "tool-result" || part.type === "tool-error").filter((part) => !part.providerExecuted).map((toolResult) => ({
    type: "tool-result",
    toolCallId: toolResult.toolCallId,
    toolName: toolResult.toolName,
    output: createToolModelOutput({
      tool: tools == null ? void 0 : tools[toolResult.toolName],
      output: toolResult.type === "tool-result" ? toolResult.output : toolResult.error,
      errorMode: toolResult.type === "tool-error" ? "text" : "none"
    })
  }));
  if (toolResultContent.length > 0) {
    responseMessages.push({
      role: "tool",
      content: toolResultContent
    });
  }
  return responseMessages;
}

// src/generate-text/generate-text.ts
var originalGenerateId = createIdGenerator({
  prefix: "aitxt",
  size: 24
});
async function generateText({
  model: modelArg,
  tools,
  toolChoice,
  system,
  prompt,
  messages,
  maxRetries: maxRetriesArg,
  abortSignal,
  headers,
  stopWhen = stepCountIs(1),
  experimental_output: output,
  experimental_telemetry: telemetry,
  providerOptions,
  experimental_activeTools,
  activeTools = experimental_activeTools,
  experimental_prepareStep,
  prepareStep = experimental_prepareStep,
  experimental_repairToolCall: repairToolCall,
  experimental_download: download2,
  experimental_context,
  _internal: {
    generateId: generateId3 = originalGenerateId,
    currentDate = () => /* @__PURE__ */ new Date()
  } = {},
  onStepFinish,
  ...settings
}) {
  const model = resolveLanguageModel(modelArg);
  const stopConditions = asArray(stopWhen);
  const { maxRetries, retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const callSettings = prepareCallSettings(settings);
  const headersWithUserAgent = withUserAgentSuffix2(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const baseTelemetryAttributes = getBaseTelemetryAttributes({
    model,
    telemetry,
    headers: headersWithUserAgent,
    settings: { ...callSettings, maxRetries }
  });
  const initialPrompt = await standardizePrompt({
    system,
    prompt,
    messages
  });
  const tracer = getTracer(telemetry);
  try {
    return await recordSpan({
      name: "ai.generateText",
      attributes: selectTelemetryAttributes({
        telemetry,
        attributes: {
          ...assembleOperationName({
            operationId: "ai.generateText",
            telemetry
          }),
          ...baseTelemetryAttributes,
          // model:
          "ai.model.provider": model.provider,
          "ai.model.id": model.modelId,
          // specific settings that only make sense on the outer level:
          "ai.prompt": {
            input: () => JSON.stringify({ system, prompt, messages })
          }
        }
      }),
      tracer,
      fn: async (span) => {
        var _a17, _b, _c, _d, _e, _f, _g;
        const callSettings2 = prepareCallSettings(settings);
        let currentModelResponse;
        let clientToolCalls = [];
        let clientToolOutputs = [];
        const responseMessages = [];
        const steps = [];
        do {
          const stepInputMessages = [
            ...initialPrompt.messages,
            ...responseMessages
          ];
          const prepareStepResult = await (prepareStep == null ? void 0 : prepareStep({
            model,
            steps,
            stepNumber: steps.length,
            messages: stepInputMessages
          }));
          const stepModel = resolveLanguageModel(
            (_a17 = prepareStepResult == null ? void 0 : prepareStepResult.model) != null ? _a17 : model
          );
          const promptMessages = await convertToLanguageModelPrompt({
            prompt: {
              system: (_b = prepareStepResult == null ? void 0 : prepareStepResult.system) != null ? _b : initialPrompt.system,
              messages: (_c = prepareStepResult == null ? void 0 : prepareStepResult.messages) != null ? _c : stepInputMessages
            },
            supportedUrls: await stepModel.supportedUrls,
            download: download2
          });
          const { toolChoice: stepToolChoice, tools: stepTools } = prepareToolsAndToolChoice({
            tools,
            toolChoice: (_d = prepareStepResult == null ? void 0 : prepareStepResult.toolChoice) != null ? _d : toolChoice,
            activeTools: (_e = prepareStepResult == null ? void 0 : prepareStepResult.activeTools) != null ? _e : activeTools
          });
          currentModelResponse = await retry(
            () => {
              var _a18;
              return recordSpan({
                name: "ai.generateText.doGenerate",
                attributes: selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    ...assembleOperationName({
                      operationId: "ai.generateText.doGenerate",
                      telemetry
                    }),
                    ...baseTelemetryAttributes,
                    // model:
                    "ai.model.provider": stepModel.provider,
                    "ai.model.id": stepModel.modelId,
                    // prompt:
                    "ai.prompt.messages": {
                      input: () => stringifyForTelemetry(promptMessages)
                    },
                    "ai.prompt.tools": {
                      // convert the language model level tools:
                      input: () => stepTools == null ? void 0 : stepTools.map((tool3) => JSON.stringify(tool3))
                    },
                    "ai.prompt.toolChoice": {
                      input: () => stepToolChoice != null ? JSON.stringify(stepToolChoice) : void 0
                    },
                    // standardized gen-ai llm span attributes:
                    "gen_ai.system": stepModel.provider,
                    "gen_ai.request.model": stepModel.modelId,
                    "gen_ai.request.frequency_penalty": settings.frequencyPenalty,
                    "gen_ai.request.max_tokens": settings.maxOutputTokens,
                    "gen_ai.request.presence_penalty": settings.presencePenalty,
                    "gen_ai.request.stop_sequences": settings.stopSequences,
                    "gen_ai.request.temperature": (_a18 = settings.temperature) != null ? _a18 : void 0,
                    "gen_ai.request.top_k": settings.topK,
                    "gen_ai.request.top_p": settings.topP
                  }
                }),
                tracer,
                fn: async (span2) => {
                  var _a19, _b2, _c2, _d2, _e2, _f2, _g2, _h;
                  const result = await stepModel.doGenerate({
                    ...callSettings2,
                    tools: stepTools,
                    toolChoice: stepToolChoice,
                    responseFormat: output == null ? void 0 : output.responseFormat,
                    prompt: promptMessages,
                    providerOptions,
                    abortSignal,
                    headers: headersWithUserAgent
                  });
                  const responseData = {
                    id: (_b2 = (_a19 = result.response) == null ? void 0 : _a19.id) != null ? _b2 : generateId3(),
                    timestamp: (_d2 = (_c2 = result.response) == null ? void 0 : _c2.timestamp) != null ? _d2 : currentDate(),
                    modelId: (_f2 = (_e2 = result.response) == null ? void 0 : _e2.modelId) != null ? _f2 : stepModel.modelId,
                    headers: (_g2 = result.response) == null ? void 0 : _g2.headers,
                    body: (_h = result.response) == null ? void 0 : _h.body
                  };
                  span2.setAttributes(
                    selectTelemetryAttributes({
                      telemetry,
                      attributes: {
                        "ai.response.finishReason": result.finishReason,
                        "ai.response.text": {
                          output: () => extractTextContent(result.content)
                        },
                        "ai.response.toolCalls": {
                          output: () => {
                            const toolCalls = asToolCalls(result.content);
                            return toolCalls == null ? void 0 : JSON.stringify(toolCalls);
                          }
                        },
                        "ai.response.id": responseData.id,
                        "ai.response.model": responseData.modelId,
                        "ai.response.timestamp": responseData.timestamp.toISOString(),
                        "ai.response.providerMetadata": JSON.stringify(
                          result.providerMetadata
                        ),
                        // TODO rename telemetry attributes to inputTokens and outputTokens
                        "ai.usage.promptTokens": result.usage.inputTokens,
                        "ai.usage.completionTokens": result.usage.outputTokens,
                        // standardized gen-ai llm span attributes:
                        "gen_ai.response.finish_reasons": [result.finishReason],
                        "gen_ai.response.id": responseData.id,
                        "gen_ai.response.model": responseData.modelId,
                        "gen_ai.usage.input_tokens": result.usage.inputTokens,
                        "gen_ai.usage.output_tokens": result.usage.outputTokens
                      }
                    })
                  );
                  return { ...result, response: responseData };
                }
              });
            }
          );
          const stepToolCalls = await Promise.all(
            currentModelResponse.content.filter(
              (part) => part.type === "tool-call"
            ).map(
              (toolCall) => parseToolCall({
                toolCall,
                tools,
                repairToolCall,
                system,
                messages: stepInputMessages
              })
            )
          );
          for (const toolCall of stepToolCalls) {
            if (toolCall.invalid) {
              continue;
            }
            const tool3 = tools[toolCall.toolName];
            if ((tool3 == null ? void 0 : tool3.onInputAvailable) != null) {
              await tool3.onInputAvailable({
                input: toolCall.input,
                toolCallId: toolCall.toolCallId,
                messages: stepInputMessages,
                abortSignal,
                experimental_context
              });
            }
          }
          const invalidToolCalls = stepToolCalls.filter(
            (toolCall) => toolCall.invalid && toolCall.dynamic
          );
          clientToolOutputs = [];
          for (const toolCall of invalidToolCalls) {
            clientToolOutputs.push({
              type: "tool-error",
              toolCallId: toolCall.toolCallId,
              toolName: toolCall.toolName,
              input: toolCall.input,
              error: getErrorMessage5(toolCall.error),
              dynamic: true
            });
          }
          clientToolCalls = stepToolCalls.filter(
            (toolCall) => !toolCall.providerExecuted
          );
          if (tools != null) {
            clientToolOutputs.push(
              ...await executeTools({
                toolCalls: clientToolCalls.filter(
                  (toolCall) => !toolCall.invalid
                ),
                tools,
                tracer,
                telemetry,
                messages: stepInputMessages,
                abortSignal,
                experimental_context
              })
            );
          }
          const stepContent = asContent({
            content: currentModelResponse.content,
            toolCalls: stepToolCalls,
            toolOutputs: clientToolOutputs
          });
          responseMessages.push(
            ...toResponseMessages({
              content: stepContent,
              tools
            })
          );
          const currentStepResult = new DefaultStepResult({
            content: stepContent,
            finishReason: currentModelResponse.finishReason,
            usage: currentModelResponse.usage,
            warnings: currentModelResponse.warnings,
            providerMetadata: currentModelResponse.providerMetadata,
            request: (_f = currentModelResponse.request) != null ? _f : {},
            response: {
              ...currentModelResponse.response,
              // deep clone msgs to avoid mutating past messages in multi-step:
              messages: structuredClone(responseMessages)
            }
          });
          logWarnings((_g = currentModelResponse.warnings) != null ? _g : []);
          steps.push(currentStepResult);
          await (onStepFinish == null ? void 0 : onStepFinish(currentStepResult));
        } while (
          // there are tool calls:
          clientToolCalls.length > 0 && // all current tool calls have outputs (incl. execution errors):
          clientToolOutputs.length === clientToolCalls.length && // continue until a stop condition is met:
          !await isStopConditionMet({ stopConditions, steps })
        );
        span.setAttributes(
          selectTelemetryAttributes({
            telemetry,
            attributes: {
              "ai.response.finishReason": currentModelResponse.finishReason,
              "ai.response.text": {
                output: () => extractTextContent(currentModelResponse.content)
              },
              "ai.response.toolCalls": {
                output: () => {
                  const toolCalls = asToolCalls(currentModelResponse.content);
                  return toolCalls == null ? void 0 : JSON.stringify(toolCalls);
                }
              },
              "ai.response.providerMetadata": JSON.stringify(
                currentModelResponse.providerMetadata
              ),
              // TODO rename telemetry attributes to inputTokens and outputTokens
              "ai.usage.promptTokens": currentModelResponse.usage.inputTokens,
              "ai.usage.completionTokens": currentModelResponse.usage.outputTokens
            }
          })
        );
        const lastStep = steps[steps.length - 1];
        let resolvedOutput;
        if (lastStep.finishReason === "stop") {
          resolvedOutput = await (output == null ? void 0 : output.parseOutput(
            { text: lastStep.text },
            {
              response: lastStep.response,
              usage: lastStep.usage,
              finishReason: lastStep.finishReason
            }
          ));
        }
        return new DefaultGenerateTextResult({
          steps,
          resolvedOutput
        });
      }
    });
  } catch (error) {
    throw wrapGatewayError(error);
  }
}
async function executeTools({
  toolCalls,
  tools,
  tracer,
  telemetry,
  messages,
  abortSignal,
  experimental_context
}) {
  const toolOutputs = await Promise.all(
    toolCalls.map(async ({ toolCallId, toolName, input }) => {
      const tool3 = tools[toolName];
      if ((tool3 == null ? void 0 : tool3.execute) == null) {
        return void 0;
      }
      return recordSpan({
        name: "ai.toolCall",
        attributes: selectTelemetryAttributes({
          telemetry,
          attributes: {
            ...assembleOperationName({
              operationId: "ai.toolCall",
              telemetry
            }),
            "ai.toolCall.name": toolName,
            "ai.toolCall.id": toolCallId,
            "ai.toolCall.args": {
              output: () => JSON.stringify(input)
            }
          }
        }),
        tracer,
        fn: async (span) => {
          try {
            const stream = executeTool({
              execute: tool3.execute.bind(tool3),
              input,
              options: {
                toolCallId,
                messages,
                abortSignal,
                experimental_context
              }
            });
            let output;
            for await (const part of stream) {
              if (part.type === "final") {
                output = part.output;
              }
            }
            try {
              span.setAttributes(
                selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    "ai.toolCall.result": {
                      output: () => JSON.stringify(output)
                    }
                  }
                })
              );
            } catch (ignored) {
            }
            return {
              type: "tool-result",
              toolCallId,
              toolName,
              input,
              output,
              dynamic: tool3.type === "dynamic"
            };
          } catch (error) {
            recordErrorOnSpan(span, error);
            return {
              type: "tool-error",
              toolCallId,
              toolName,
              input,
              error,
              dynamic: tool3.type === "dynamic"
            };
          }
        }
      });
    })
  );
  return toolOutputs.filter(
    (output) => output != null
  );
}
var DefaultGenerateTextResult = class {
  constructor(options) {
    this.steps = options.steps;
    this.resolvedOutput = options.resolvedOutput;
  }
  get finalStep() {
    return this.steps[this.steps.length - 1];
  }
  get content() {
    return this.finalStep.content;
  }
  get text() {
    return this.finalStep.text;
  }
  get files() {
    return this.finalStep.files;
  }
  get reasoningText() {
    return this.finalStep.reasoningText;
  }
  get reasoning() {
    return this.finalStep.reasoning;
  }
  get toolCalls() {
    return this.finalStep.toolCalls;
  }
  get staticToolCalls() {
    return this.finalStep.staticToolCalls;
  }
  get dynamicToolCalls() {
    return this.finalStep.dynamicToolCalls;
  }
  get toolResults() {
    return this.finalStep.toolResults;
  }
  get staticToolResults() {
    return this.finalStep.staticToolResults;
  }
  get dynamicToolResults() {
    return this.finalStep.dynamicToolResults;
  }
  get sources() {
    return this.finalStep.sources;
  }
  get finishReason() {
    return this.finalStep.finishReason;
  }
  get warnings() {
    return this.finalStep.warnings;
  }
  get providerMetadata() {
    return this.finalStep.providerMetadata;
  }
  get response() {
    return this.finalStep.response;
  }
  get request() {
    return this.finalStep.request;
  }
  get usage() {
    return this.finalStep.usage;
  }
  get totalUsage() {
    return this.steps.reduce(
      (totalUsage, step) => {
        return addLanguageModelUsage(totalUsage, step.usage);
      },
      {
        inputTokens: void 0,
        outputTokens: void 0,
        totalTokens: void 0,
        reasoningTokens: void 0,
        cachedInputTokens: void 0
      }
    );
  }
  get experimental_output() {
    if (this.resolvedOutput == null) {
      throw new NoOutputSpecifiedError();
    }
    return this.resolvedOutput;
  }
};
function asToolCalls(content) {
  const parts = content.filter(
    (part) => part.type === "tool-call"
  );
  if (parts.length === 0) {
    return void 0;
  }
  return parts.map((toolCall) => ({
    toolCallId: toolCall.toolCallId,
    toolName: toolCall.toolName,
    input: toolCall.input
  }));
}
function asContent({
  content,
  toolCalls,
  toolOutputs
}) {
  return [
    ...content.map((part) => {
      switch (part.type) {
        case "text":
        case "reasoning":
        case "source":
          return part;
        case "file": {
          return {
            type: "file",
            file: new DefaultGeneratedFile(part)
          };
        }
        case "tool-call": {
          return toolCalls.find(
            (toolCall) => toolCall.toolCallId === part.toolCallId
          );
        }
        case "tool-result": {
          const toolCall = toolCalls.find(
            (toolCall2) => toolCall2.toolCallId === part.toolCallId
          );
          if (toolCall == null) {
            throw new Error(`Tool call ${part.toolCallId} not found.`);
          }
          if (part.isError) {
            return {
              type: "tool-error",
              toolCallId: part.toolCallId,
              toolName: part.toolName,
              input: toolCall.input,
              error: part.result,
              providerExecuted: true,
              dynamic: toolCall.dynamic
            };
          }
          return {
            type: "tool-result",
            toolCallId: part.toolCallId,
            toolName: part.toolName,
            input: toolCall.input,
            output: part.result,
            providerExecuted: true,
            dynamic: toolCall.dynamic
          };
        }
      }
    }),
    ...toolOutputs
  ];
}

// src/generate-text/stream-text.ts
import {
  getErrorMessage as getErrorMessage7
} from "@ai-sdk/provider";
import {
  createIdGenerator as createIdGenerator2,
  isAbortError as isAbortError2
} from "@ai-sdk/provider-utils";

// src/util/prepare-headers.ts
function prepareHeaders(headers, defaultHeaders) {
  const responseHeaders = new Headers(headers != null ? headers : {});
  for (const [key, value] of Object.entries(defaultHeaders)) {
    if (!responseHeaders.has(key)) {
      responseHeaders.set(key, value);
    }
  }
  return responseHeaders;
}

// src/text-stream/create-text-stream-response.ts
function createTextStreamResponse({
  status,
  statusText,
  headers,
  textStream
}) {
  return new Response(textStream.pipeThrough(new TextEncoderStream()), {
    status: status != null ? status : 200,
    statusText,
    headers: prepareHeaders(headers, {
      "content-type": "text/plain; charset=utf-8"
    })
  });
}

// src/util/write-to-server-response.ts
function writeToServerResponse({
  response,
  status,
  statusText,
  headers,
  stream
}) {
  response.writeHead(status != null ? status : 200, statusText, headers);
  const reader = stream.getReader();
  const read = async () => {
    try {
      while (true) {
        const { done, value } = await reader.read();
        if (done)
          break;
        const canContinue = response.write(value);
        if (!canContinue) {
          await new Promise((resolve2) => {
            response.once("drain", resolve2);
          });
        }
      }
    } catch (error) {
      throw error;
    } finally {
      response.end();
    }
  };
  read();
}

// src/text-stream/pipe-text-stream-to-response.ts
function pipeTextStreamToResponse({
  response,
  status,
  statusText,
  headers,
  textStream
}) {
  writeToServerResponse({
    response,
    status,
    statusText,
    headers: Object.fromEntries(
      prepareHeaders(headers, {
        "content-type": "text/plain; charset=utf-8"
      }).entries()
    ),
    stream: textStream.pipeThrough(new TextEncoderStream())
  });
}

// src/ui-message-stream/json-to-sse-transform-stream.ts
var JsonToSseTransformStream = class extends TransformStream {
  constructor() {
    super({
      transform(part, controller) {
        controller.enqueue(`data: ${JSON.stringify(part)}

`);
      },
      flush(controller) {
        controller.enqueue("data: [DONE]\n\n");
      }
    });
  }
};

// src/ui-message-stream/ui-message-stream-headers.ts
var UI_MESSAGE_STREAM_HEADERS = {
  "content-type": "text/event-stream",
  "cache-control": "no-cache",
  connection: "keep-alive",
  "x-vercel-ai-ui-message-stream": "v1",
  "x-accel-buffering": "no"
  // disable nginx buffering
};

// src/ui-message-stream/create-ui-message-stream-response.ts
function createUIMessageStreamResponse({
  status,
  statusText,
  headers,
  stream,
  consumeSseStream
}) {
  let sseStream = stream.pipeThrough(new JsonToSseTransformStream());
  if (consumeSseStream) {
    const [stream1, stream2] = sseStream.tee();
    sseStream = stream1;
    consumeSseStream({ stream: stream2 });
  }
  return new Response(sseStream.pipeThrough(new TextEncoderStream()), {
    status,
    statusText,
    headers: prepareHeaders(headers, UI_MESSAGE_STREAM_HEADERS)
  });
}

// src/ui-message-stream/get-response-ui-message-id.ts
function getResponseUIMessageId({
  originalMessages,
  responseMessageId
}) {
  if (originalMessages == null) {
    return void 0;
  }
  const lastMessage = originalMessages[originalMessages.length - 1];
  return (lastMessage == null ? void 0 : lastMessage.role) === "assistant" ? lastMessage.id : typeof responseMessageId === "function" ? responseMessageId() : responseMessageId;
}

// src/ui/process-ui-message-stream.ts
import {
  validateTypes
} from "@ai-sdk/provider-utils";

// src/ui-message-stream/ui-message-chunks.ts
import { z as z7 } from "zod/v4";
import { lazyValidator, zodSchema } from "@ai-sdk/provider-utils";
var uiMessageChunkSchema = lazyValidator(
  () => zodSchema(
    z7.union([
      z7.strictObject({
        type: z7.literal("text-start"),
        id: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("text-delta"),
        id: z7.string(),
        delta: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("text-end"),
        id: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("error"),
        errorText: z7.string()
      }),
      z7.strictObject({
        type: z7.literal("tool-input-start"),
        toolCallId: z7.string(),
        toolName: z7.string(),
        providerExecuted: z7.boolean().optional(),
        dynamic: z7.boolean().optional()
      }),
      z7.strictObject({
        type: z7.literal("tool-input-delta"),
        toolCallId: z7.string(),
        inputTextDelta: z7.string()
      }),
      z7.strictObject({
        type: z7.literal("tool-input-available"),
        toolCallId: z7.string(),
        toolName: z7.string(),
        input: z7.unknown(),
        providerExecuted: z7.boolean().optional(),
        providerMetadata: providerMetadataSchema.optional(),
        dynamic: z7.boolean().optional()
      }),
      z7.strictObject({
        type: z7.literal("tool-input-error"),
        toolCallId: z7.string(),
        toolName: z7.string(),
        input: z7.unknown(),
        providerExecuted: z7.boolean().optional(),
        providerMetadata: providerMetadataSchema.optional(),
        dynamic: z7.boolean().optional(),
        errorText: z7.string()
      }),
      z7.strictObject({
        type: z7.literal("tool-output-available"),
        toolCallId: z7.string(),
        output: z7.unknown(),
        providerExecuted: z7.boolean().optional(),
        dynamic: z7.boolean().optional(),
        preliminary: z7.boolean().optional()
      }),
      z7.strictObject({
        type: z7.literal("tool-output-error"),
        toolCallId: z7.string(),
        errorText: z7.string(),
        providerExecuted: z7.boolean().optional(),
        dynamic: z7.boolean().optional()
      }),
      z7.strictObject({
        type: z7.literal("reasoning-start"),
        id: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("reasoning-delta"),
        id: z7.string(),
        delta: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("reasoning-end"),
        id: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("source-url"),
        sourceId: z7.string(),
        url: z7.string(),
        title: z7.string().optional(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("source-document"),
        sourceId: z7.string(),
        mediaType: z7.string(),
        title: z7.string(),
        filename: z7.string().optional(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.literal("file"),
        url: z7.string(),
        mediaType: z7.string(),
        providerMetadata: providerMetadataSchema.optional()
      }),
      z7.strictObject({
        type: z7.custom(
          (value) => typeof value === "string" && value.startsWith("data-"),
          { message: 'Type must start with "data-"' }
        ),
        id: z7.string().optional(),
        data: z7.unknown(),
        transient: z7.boolean().optional()
      }),
      z7.strictObject({
        type: z7.literal("start-step")
      }),
      z7.strictObject({
        type: z7.literal("finish-step")
      }),
      z7.strictObject({
        type: z7.literal("start"),
        messageId: z7.string().optional(),
        messageMetadata: z7.unknown().optional()
      }),
      z7.strictObject({
        type: z7.literal("finish"),
        messageMetadata: z7.unknown().optional()
      }),
      z7.strictObject({
        type: z7.literal("abort")
      }),
      z7.strictObject({
        type: z7.literal("message-metadata"),
        messageMetadata: z7.unknown()
      })
    ])
  )
);
function isDataUIMessageChunk(chunk) {
  return chunk.type.startsWith("data-");
}

// src/util/merge-objects.ts
function mergeObjects(base, overrides) {
  if (base === void 0 && overrides === void 0) {
    return void 0;
  }
  if (base === void 0) {
    return overrides;
  }
  if (overrides === void 0) {
    return base;
  }
  const result = { ...base };
  for (const key in overrides) {
    if (Object.prototype.hasOwnProperty.call(overrides, key)) {
      const overridesValue = overrides[key];
      if (overridesValue === void 0)
        continue;
      const baseValue = key in base ? base[key] : void 0;
      const isSourceObject = overridesValue !== null && typeof overridesValue === "object" && !Array.isArray(overridesValue) && !(overridesValue instanceof Date) && !(overridesValue instanceof RegExp);
      const isTargetObject = baseValue !== null && baseValue !== void 0 && typeof baseValue === "object" && !Array.isArray(baseValue) && !(baseValue instanceof Date) && !(baseValue instanceof RegExp);
      if (isSourceObject && isTargetObject) {
        result[key] = mergeObjects(
          baseValue,
          overridesValue
        );
      } else {
        result[key] = overridesValue;
      }
    }
  }
  return result;
}

// src/util/parse-partial-json.ts
import { safeParseJSON as safeParseJSON2 } from "@ai-sdk/provider-utils";

// src/util/fix-json.ts
function fixJson(input) {
  const stack = ["ROOT"];
  let lastValidIndex = -1;
  let literalStart = null;
  function processValueStart(char, i, swapState) {
    {
      switch (char) {
        case '"': {
          lastValidIndex = i;
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_STRING");
          break;
        }
        case "f":
        case "t":
        case "n": {
          lastValidIndex = i;
          literalStart = i;
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_LITERAL");
          break;
        }
        case "-": {
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_NUMBER");
          break;
        }
        case "0":
        case "1":
        case "2":
        case "3":
        case "4":
        case "5":
        case "6":
        case "7":
        case "8":
        case "9": {
          lastValidIndex = i;
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_NUMBER");
          break;
        }
        case "{": {
          lastValidIndex = i;
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_OBJECT_START");
          break;
        }
        case "[": {
          lastValidIndex = i;
          stack.pop();
          stack.push(swapState);
          stack.push("INSIDE_ARRAY_START");
          break;
        }
      }
    }
  }
  function processAfterObjectValue(char, i) {
    switch (char) {
      case ",": {
        stack.pop();
        stack.push("INSIDE_OBJECT_AFTER_COMMA");
        break;
      }
      case "}": {
        lastValidIndex = i;
        stack.pop();
        break;
      }
    }
  }
  function processAfterArrayValue(char, i) {
    switch (char) {
      case ",": {
        stack.pop();
        stack.push("INSIDE_ARRAY_AFTER_COMMA");
        break;
      }
      case "]": {
        lastValidIndex = i;
        stack.pop();
        break;
      }
    }
  }
  for (let i = 0; i < input.length; i++) {
    const char = input[i];
    const currentState = stack[stack.length - 1];
    switch (currentState) {
      case "ROOT":
        processValueStart(char, i, "FINISH");
        break;
      case "INSIDE_OBJECT_START": {
        switch (char) {
          case '"': {
            stack.pop();
            stack.push("INSIDE_OBJECT_KEY");
            break;
          }
          case "}": {
            lastValidIndex = i;
            stack.pop();
            break;
          }
        }
        break;
      }
      case "INSIDE_OBJECT_AFTER_COMMA": {
        switch (char) {
          case '"': {
            stack.pop();
            stack.push("INSIDE_OBJECT_KEY");
            break;
          }
        }
        break;
      }
      case "INSIDE_OBJECT_KEY": {
        switch (char) {
          case '"': {
            stack.pop();
            stack.push("INSIDE_OBJECT_AFTER_KEY");
            break;
          }
        }
        break;
      }
      case "INSIDE_OBJECT_AFTER_KEY": {
        switch (char) {
          case ":": {
            stack.pop();
            stack.push("INSIDE_OBJECT_BEFORE_VALUE");
            break;
          }
        }
        break;
      }
      case "INSIDE_OBJECT_BEFORE_VALUE": {
        processValueStart(char, i, "INSIDE_OBJECT_AFTER_VALUE");
        break;
      }
      case "INSIDE_OBJECT_AFTER_VALUE": {
        processAfterObjectValue(char, i);
        break;
      }
      case "INSIDE_STRING": {
        switch (char) {
          case '"': {
            stack.pop();
            lastValidIndex = i;
            break;
          }
          case "\\": {
            stack.push("INSIDE_STRING_ESCAPE");
            break;
          }
          default: {
            lastValidIndex = i;
          }
        }
        break;
      }
      case "INSIDE_ARRAY_START": {
        switch (char) {
          case "]": {
            lastValidIndex = i;
            stack.pop();
            break;
          }
          default: {
            lastValidIndex = i;
            processValueStart(char, i, "INSIDE_ARRAY_AFTER_VALUE");
            break;
          }
        }
        break;
      }
      case "INSIDE_ARRAY_AFTER_VALUE": {
        switch (char) {
          case ",": {
            stack.pop();
            stack.push("INSIDE_ARRAY_AFTER_COMMA");
            break;
          }
          case "]": {
            lastValidIndex = i;
            stack.pop();
            break;
          }
          default: {
            lastValidIndex = i;
            break;
          }
        }
        break;
      }
      case "INSIDE_ARRAY_AFTER_COMMA": {
        processValueStart(char, i, "INSIDE_ARRAY_AFTER_VALUE");
        break;
      }
      case "INSIDE_STRING_ESCAPE": {
        stack.pop();
        lastValidIndex = i;
        break;
      }
      case "INSIDE_NUMBER": {
        switch (char) {
          case "0":
          case "1":
          case "2":
          case "3":
          case "4":
          case "5":
          case "6":
          case "7":
          case "8":
          case "9": {
            lastValidIndex = i;
            break;
          }
          case "e":
          case "E":
          case "-":
          case ".": {
            break;
          }
          case ",": {
            stack.pop();
            if (stack[stack.length - 1] === "INSIDE_ARRAY_AFTER_VALUE") {
              processAfterArrayValue(char, i);
            }
            if (stack[stack.length - 1] === "INSIDE_OBJECT_AFTER_VALUE") {
              processAfterObjectValue(char, i);
            }
            break;
          }
          case "}": {
            stack.pop();
            if (stack[stack.length - 1] === "INSIDE_OBJECT_AFTER_VALUE") {
              processAfterObjectValue(char, i);
            }
            break;
          }
          case "]": {
            stack.pop();
            if (stack[stack.length - 1] === "INSIDE_ARRAY_AFTER_VALUE") {
              processAfterArrayValue(char, i);
            }
            break;
          }
          default: {
            stack.pop();
            break;
          }
        }
        break;
      }
      case "INSIDE_LITERAL": {
        const partialLiteral = input.substring(literalStart, i + 1);
        if (!"false".startsWith(partialLiteral) && !"true".startsWith(partialLiteral) && !"null".startsWith(partialLiteral)) {
          stack.pop();
          if (stack[stack.length - 1] === "INSIDE_OBJECT_AFTER_VALUE") {
            processAfterObjectValue(char, i);
          } else if (stack[stack.length - 1] === "INSIDE_ARRAY_AFTER_VALUE") {
            processAfterArrayValue(char, i);
          }
        } else {
          lastValidIndex = i;
        }
        break;
      }
    }
  }
  let result = input.slice(0, lastValidIndex + 1);
  for (let i = stack.length - 1; i >= 0; i--) {
    const state = stack[i];
    switch (state) {
      case "INSIDE_STRING": {
        result += '"';
        break;
      }
      case "INSIDE_OBJECT_KEY":
      case "INSIDE_OBJECT_AFTER_KEY":
      case "INSIDE_OBJECT_AFTER_COMMA":
      case "INSIDE_OBJECT_START":
      case "INSIDE_OBJECT_BEFORE_VALUE":
      case "INSIDE_OBJECT_AFTER_VALUE": {
        result += "}";
        break;
      }
      case "INSIDE_ARRAY_START":
      case "INSIDE_ARRAY_AFTER_COMMA":
      case "INSIDE_ARRAY_AFTER_VALUE": {
        result += "]";
        break;
      }
      case "INSIDE_LITERAL": {
        const partialLiteral = input.substring(literalStart, input.length);
        if ("true".startsWith(partialLiteral)) {
          result += "true".slice(partialLiteral.length);
        } else if ("false".startsWith(partialLiteral)) {
          result += "false".slice(partialLiteral.length);
        } else if ("null".startsWith(partialLiteral)) {
          result += "null".slice(partialLiteral.length);
        }
      }
    }
  }
  return result;
}

// src/util/parse-partial-json.ts
async function parsePartialJson(jsonText) {
  if (jsonText === void 0) {
    return { value: void 0, state: "undefined-input" };
  }
  let result = await safeParseJSON2({ text: jsonText });
  if (result.success) {
    return { value: result.value, state: "successful-parse" };
  }
  result = await safeParseJSON2({ text: fixJson(jsonText) });
  if (result.success) {
    return { value: result.value, state: "repaired-parse" };
  }
  return { value: void 0, state: "failed-parse" };
}

// src/ui/ui-messages.ts
function isDataUIPart(part) {
  return part.type.startsWith("data-");
}
function isToolUIPart(part) {
  return part.type.startsWith("tool-");
}
function isDynamicToolUIPart(part) {
  return part.type === "dynamic-tool";
}
function isToolOrDynamicToolUIPart(part) {
  return isToolUIPart(part) || isDynamicToolUIPart(part);
}
function getToolName(part) {
  return part.type.split("-").slice(1).join("-");
}
function getToolOrDynamicToolName(part) {
  return isDynamicToolUIPart(part) ? part.toolName : getToolName(part);
}

// src/ui/process-ui-message-stream.ts
function createStreamingUIMessageState({
  lastMessage,
  messageId
}) {
  return {
    message: (lastMessage == null ? void 0 : lastMessage.role) === "assistant" ? lastMessage : {
      id: messageId,
      metadata: void 0,
      role: "assistant",
      parts: []
    },
    activeTextParts: {},
    activeReasoningParts: {},
    partialToolCalls: {}
  };
}
function processUIMessageStream({
  stream,
  messageMetadataSchema,
  dataPartSchemas,
  runUpdateMessageJob,
  onError,
  onToolCall,
  onData
}) {
  return stream.pipeThrough(
    new TransformStream({
      async transform(chunk, controller) {
        await runUpdateMessageJob(async ({ state, write }) => {
          var _a17, _b, _c, _d;
          function getToolInvocation(toolCallId) {
            const toolInvocations = state.message.parts.filter(isToolUIPart);
            const toolInvocation = toolInvocations.find(
              (invocation) => invocation.toolCallId === toolCallId
            );
            if (toolInvocation == null) {
              throw new Error(
                "tool-output-error must be preceded by a tool-input-available"
              );
            }
            return toolInvocation;
          }
          function getDynamicToolInvocation(toolCallId) {
            const toolInvocations = state.message.parts.filter(
              (part) => part.type === "dynamic-tool"
            );
            const toolInvocation = toolInvocations.find(
              (invocation) => invocation.toolCallId === toolCallId
            );
            if (toolInvocation == null) {
              throw new Error(
                "tool-output-error must be preceded by a tool-input-available"
              );
            }
            return toolInvocation;
          }
          function updateToolPart(options) {
            var _a18;
            const part = state.message.parts.find(
              (part2) => isToolUIPart(part2) && part2.toolCallId === options.toolCallId
            );
            const anyOptions = options;
            const anyPart = part;
            if (part != null) {
              part.state = options.state;
              anyPart.input = anyOptions.input;
              anyPart.output = anyOptions.output;
              anyPart.errorText = anyOptions.errorText;
              anyPart.rawInput = anyOptions.rawInput;
              anyPart.preliminary = anyOptions.preliminary;
              anyPart.providerExecuted = (_a18 = anyOptions.providerExecuted) != null ? _a18 : part.providerExecuted;
              if (anyOptions.providerMetadata != null && part.state === "input-available") {
                part.callProviderMetadata = anyOptions.providerMetadata;
              }
            } else {
              state.message.parts.push({
                type: `tool-${options.toolName}`,
                toolCallId: options.toolCallId,
                state: options.state,
                input: anyOptions.input,
                output: anyOptions.output,
                rawInput: anyOptions.rawInput,
                errorText: anyOptions.errorText,
                providerExecuted: anyOptions.providerExecuted,
                preliminary: anyOptions.preliminary,
                ...anyOptions.providerMetadata != null ? { callProviderMetadata: anyOptions.providerMetadata } : {}
              });
            }
          }
          function updateDynamicToolPart(options) {
            var _a18;
            const part = state.message.parts.find(
              (part2) => part2.type === "dynamic-tool" && part2.toolCallId === options.toolCallId
            );
            const anyOptions = options;
            const anyPart = part;
            if (part != null) {
              part.state = options.state;
              anyPart.toolName = options.toolName;
              anyPart.input = anyOptions.input;
              anyPart.output = anyOptions.output;
              anyPart.errorText = anyOptions.errorText;
              anyPart.rawInput = (_a18 = anyOptions.rawInput) != null ? _a18 : anyPart.rawInput;
              anyPart.preliminary = anyOptions.preliminary;
              if (anyOptions.providerMetadata != null && part.state === "input-available") {
                part.callProviderMetadata = anyOptions.providerMetadata;
              }
            } else {
              state.message.parts.push({
                type: "dynamic-tool",
                toolName: options.toolName,
                toolCallId: options.toolCallId,
                state: options.state,
                input: anyOptions.input,
                output: anyOptions.output,
                errorText: anyOptions.errorText,
                preliminary: anyOptions.preliminary,
                ...anyOptions.providerMetadata != null ? { callProviderMetadata: anyOptions.providerMetadata } : {}
              });
            }
          }
          async function updateMessageMetadata(metadata) {
            if (metadata != null) {
              const mergedMetadata = state.message.metadata != null ? mergeObjects(state.message.metadata, metadata) : metadata;
              if (messageMetadataSchema != null) {
                await validateTypes({
                  value: mergedMetadata,
                  schema: messageMetadataSchema
                });
              }
              state.message.metadata = mergedMetadata;
            }
          }
          switch (chunk.type) {
            case "text-start": {
              const textPart = {
                type: "text",
                text: "",
                providerMetadata: chunk.providerMetadata,
                state: "streaming"
              };
              state.activeTextParts[chunk.id] = textPart;
              state.message.parts.push(textPart);
              write();
              break;
            }
            case "text-delta": {
              const textPart = state.activeTextParts[chunk.id];
              textPart.text += chunk.delta;
              textPart.providerMetadata = (_a17 = chunk.providerMetadata) != null ? _a17 : textPart.providerMetadata;
              write();
              break;
            }
            case "text-end": {
              const textPart = state.activeTextParts[chunk.id];
              textPart.state = "done";
              textPart.providerMetadata = (_b = chunk.providerMetadata) != null ? _b : textPart.providerMetadata;
              delete state.activeTextParts[chunk.id];
              write();
              break;
            }
            case "reasoning-start": {
              const reasoningPart = {
                type: "reasoning",
                text: "",
                providerMetadata: chunk.providerMetadata,
                state: "streaming"
              };
              state.activeReasoningParts[chunk.id] = reasoningPart;
              state.message.parts.push(reasoningPart);
              write();
              break;
            }
            case "reasoning-delta": {
              const reasoningPart = state.activeReasoningParts[chunk.id];
              reasoningPart.text += chunk.delta;
              reasoningPart.providerMetadata = (_c = chunk.providerMetadata) != null ? _c : reasoningPart.providerMetadata;
              write();
              break;
            }
            case "reasoning-end": {
              const reasoningPart = state.activeReasoningParts[chunk.id];
              reasoningPart.providerMetadata = (_d = chunk.providerMetadata) != null ? _d : reasoningPart.providerMetadata;
              reasoningPart.state = "done";
              delete state.activeReasoningParts[chunk.id];
              write();
              break;
            }
            case "file": {
              state.message.parts.push({
                type: "file",
                mediaType: chunk.mediaType,
                url: chunk.url
              });
              write();
              break;
            }
            case "source-url": {
              state.message.parts.push({
                type: "source-url",
                sourceId: chunk.sourceId,
                url: chunk.url,
                title: chunk.title,
                providerMetadata: chunk.providerMetadata
              });
              write();
              break;
            }
            case "source-document": {
              state.message.parts.push({
                type: "source-document",
                sourceId: chunk.sourceId,
                mediaType: chunk.mediaType,
                title: chunk.title,
                filename: chunk.filename,
                providerMetadata: chunk.providerMetadata
              });
              write();
              break;
            }
            case "tool-input-start": {
              const toolInvocations = state.message.parts.filter(isToolUIPart);
              state.partialToolCalls[chunk.toolCallId] = {
                text: "",
                toolName: chunk.toolName,
                index: toolInvocations.length,
                dynamic: chunk.dynamic
              };
              if (chunk.dynamic) {
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "input-streaming",
                  input: void 0
                });
              } else {
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "input-streaming",
                  input: void 0,
                  providerExecuted: chunk.providerExecuted
                });
              }
              write();
              break;
            }
            case "tool-input-delta": {
              const partialToolCall = state.partialToolCalls[chunk.toolCallId];
              partialToolCall.text += chunk.inputTextDelta;
              const { value: partialArgs } = await parsePartialJson(
                partialToolCall.text
              );
              if (partialToolCall.dynamic) {
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: partialToolCall.toolName,
                  state: "input-streaming",
                  input: partialArgs
                });
              } else {
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: partialToolCall.toolName,
                  state: "input-streaming",
                  input: partialArgs
                });
              }
              write();
              break;
            }
            case "tool-input-available": {
              if (chunk.dynamic) {
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "input-available",
                  input: chunk.input,
                  providerMetadata: chunk.providerMetadata
                });
              } else {
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "input-available",
                  input: chunk.input,
                  providerExecuted: chunk.providerExecuted,
                  providerMetadata: chunk.providerMetadata
                });
              }
              write();
              if (onToolCall && !chunk.providerExecuted) {
                await onToolCall({
                  toolCall: chunk
                });
              }
              break;
            }
            case "tool-input-error": {
              if (chunk.dynamic) {
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "output-error",
                  input: chunk.input,
                  errorText: chunk.errorText,
                  providerMetadata: chunk.providerMetadata
                });
              } else {
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: chunk.toolName,
                  state: "output-error",
                  input: void 0,
                  rawInput: chunk.input,
                  errorText: chunk.errorText,
                  providerExecuted: chunk.providerExecuted,
                  providerMetadata: chunk.providerMetadata
                });
              }
              write();
              break;
            }
            case "tool-output-available": {
              if (chunk.dynamic) {
                const toolInvocation = getDynamicToolInvocation(
                  chunk.toolCallId
                );
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: toolInvocation.toolName,
                  state: "output-available",
                  input: toolInvocation.input,
                  output: chunk.output,
                  preliminary: chunk.preliminary
                });
              } else {
                const toolInvocation = getToolInvocation(chunk.toolCallId);
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: getToolName(toolInvocation),
                  state: "output-available",
                  input: toolInvocation.input,
                  output: chunk.output,
                  providerExecuted: chunk.providerExecuted,
                  preliminary: chunk.preliminary
                });
              }
              write();
              break;
            }
            case "tool-output-error": {
              if (chunk.dynamic) {
                const toolInvocation = getDynamicToolInvocation(
                  chunk.toolCallId
                );
                updateDynamicToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: toolInvocation.toolName,
                  state: "output-error",
                  input: toolInvocation.input,
                  errorText: chunk.errorText
                });
              } else {
                const toolInvocation = getToolInvocation(chunk.toolCallId);
                updateToolPart({
                  toolCallId: chunk.toolCallId,
                  toolName: getToolName(toolInvocation),
                  state: "output-error",
                  input: toolInvocation.input,
                  rawInput: toolInvocation.rawInput,
                  errorText: chunk.errorText
                });
              }
              write();
              break;
            }
            case "start-step": {
              state.message.parts.push({ type: "step-start" });
              break;
            }
            case "finish-step": {
              state.activeTextParts = {};
              state.activeReasoningParts = {};
              break;
            }
            case "start": {
              if (chunk.messageId != null) {
                state.message.id = chunk.messageId;
              }
              await updateMessageMetadata(chunk.messageMetadata);
              if (chunk.messageId != null || chunk.messageMetadata != null) {
                write();
              }
              break;
            }
            case "finish": {
              await updateMessageMetadata(chunk.messageMetadata);
              if (chunk.messageMetadata != null) {
                write();
              }
              break;
            }
            case "message-metadata": {
              await updateMessageMetadata(chunk.messageMetadata);
              if (chunk.messageMetadata != null) {
                write();
              }
              break;
            }
            case "error": {
              onError == null ? void 0 : onError(new Error(chunk.errorText));
              break;
            }
            default: {
              if (isDataUIMessageChunk(chunk)) {
                if ((dataPartSchemas == null ? void 0 : dataPartSchemas[chunk.type]) != null) {
                  await validateTypes({
                    value: chunk.data,
                    schema: dataPartSchemas[chunk.type]
                  });
                }
                const dataChunk = chunk;
                if (dataChunk.transient) {
                  onData == null ? void 0 : onData(dataChunk);
                  break;
                }
                const existingUIPart = dataChunk.id != null ? state.message.parts.find(
                  (chunkArg) => dataChunk.type === chunkArg.type && dataChunk.id === chunkArg.id
                ) : void 0;
                if (existingUIPart != null) {
                  existingUIPart.data = dataChunk.data;
                } else {
                  state.message.parts.push(dataChunk);
                }
                onData == null ? void 0 : onData(dataChunk);
                write();
              }
            }
          }
          controller.enqueue(chunk);
        });
      }
    })
  );
}

// src/ui-message-stream/handle-ui-message-stream-finish.ts
function handleUIMessageStreamFinish({
  messageId,
  originalMessages = [],
  onFinish,
  onError,
  stream
}) {
  let lastMessage = originalMessages == null ? void 0 : originalMessages[originalMessages.length - 1];
  if ((lastMessage == null ? void 0 : lastMessage.role) !== "assistant") {
    lastMessage = void 0;
  } else {
    messageId = lastMessage.id;
  }
  let isAborted = false;
  const idInjectedStream = stream.pipeThrough(
    new TransformStream({
      transform(chunk, controller) {
        if (chunk.type === "start") {
          const startChunk = chunk;
          if (startChunk.messageId == null && messageId != null) {
            startChunk.messageId = messageId;
          }
        }
        if (chunk.type === "abort") {
          isAborted = true;
        }
        controller.enqueue(chunk);
      }
    })
  );
  if (onFinish == null) {
    return idInjectedStream;
  }
  const state = createStreamingUIMessageState({
    lastMessage: lastMessage ? structuredClone(lastMessage) : void 0,
    messageId: messageId != null ? messageId : ""
    // will be overridden by the stream
  });
  const runUpdateMessageJob = async (job) => {
    await job({ state, write: () => {
    } });
  };
  let finishCalled = false;
  const callOnFinish = async () => {
    if (finishCalled || !onFinish) {
      return;
    }
    finishCalled = true;
    const isContinuation = state.message.id === (lastMessage == null ? void 0 : lastMessage.id);
    await onFinish({
      isAborted,
      isContinuation,
      responseMessage: state.message,
      messages: [
        ...isContinuation ? originalMessages.slice(0, -1) : originalMessages,
        state.message
      ]
    });
  };
  return processUIMessageStream({
    stream: idInjectedStream,
    runUpdateMessageJob,
    onError
  }).pipeThrough(
    new TransformStream({
      transform(chunk, controller) {
        controller.enqueue(chunk);
      },
      // @ts-expect-error cancel is still new and missing from types https://developer.mozilla.org/en-US/docs/Web/API/TransformStream#browser_compatibility
      async cancel() {
        await callOnFinish();
      },
      async flush() {
        await callOnFinish();
      }
    })
  );
}

// src/ui-message-stream/pipe-ui-message-stream-to-response.ts
function pipeUIMessageStreamToResponse({
  response,
  status,
  statusText,
  headers,
  stream,
  consumeSseStream
}) {
  let sseStream = stream.pipeThrough(new JsonToSseTransformStream());
  if (consumeSseStream) {
    const [stream1, stream2] = sseStream.tee();
    sseStream = stream1;
    consumeSseStream({ stream: stream2 });
  }
  writeToServerResponse({
    response,
    status,
    statusText,
    headers: Object.fromEntries(
      prepareHeaders(headers, UI_MESSAGE_STREAM_HEADERS).entries()
    ),
    stream: sseStream.pipeThrough(new TextEncoderStream())
  });
}

// src/util/async-iterable-stream.ts
function createAsyncIterableStream(source) {
  const stream = source.pipeThrough(new TransformStream());
  stream[Symbol.asyncIterator] = function() {
    const reader = this.getReader();
    let finished = false;
    async function cleanup(cancelStream) {
      var _a17;
      finished = true;
      try {
        if (cancelStream) {
          await ((_a17 = reader.cancel) == null ? void 0 : _a17.call(reader));
        }
      } finally {
        try {
          reader.releaseLock();
        } catch (e) {
        }
      }
    }
    return {
      /**
       * Reads the next chunk from the stream.
       * @returns A promise resolving to the next IteratorResult.
       */
      async next() {
        if (finished) {
          return { done: true, value: void 0 };
        }
        const { done, value } = await reader.read();
        if (done) {
          await cleanup(true);
          return { done: true, value: void 0 };
        }
        return { done: false, value };
      },
      /**
       * Called on early exit (e.g., break from for-await).
       * Ensures the stream is cancelled and resources are released.
       * @returns A promise resolving to a completed IteratorResult.
       */
      async return() {
        await cleanup(true);
        return { done: true, value: void 0 };
      },
      /**
       * Called on early exit with error.
       * Ensures the stream is cancelled and resources are released, then rethrows the error.
       * @param err The error to throw.
       * @returns A promise that rejects with the provided error.
       */
      async throw(err) {
        await cleanup(true);
        throw err;
      }
    };
  };
  return stream;
}

// src/util/consume-stream.ts
async function consumeStream({
  stream,
  onError
}) {
  const reader = stream.getReader();
  try {
    while (true) {
      const { done } = await reader.read();
      if (done)
        break;
    }
  } catch (error) {
    onError == null ? void 0 : onError(error);
  } finally {
    reader.releaseLock();
  }
}

// src/util/create-resolvable-promise.ts
function createResolvablePromise() {
  let resolve2;
  let reject;
  const promise = new Promise((res, rej) => {
    resolve2 = res;
    reject = rej;
  });
  return {
    promise,
    resolve: resolve2,
    reject
  };
}

// src/util/create-stitchable-stream.ts
function createStitchableStream() {
  let innerStreamReaders = [];
  let controller = null;
  let isClosed = false;
  let waitForNewStream = createResolvablePromise();
  const terminate = () => {
    isClosed = true;
    waitForNewStream.resolve();
    innerStreamReaders.forEach((reader) => reader.cancel());
    innerStreamReaders = [];
    controller == null ? void 0 : controller.close();
  };
  const processPull = async () => {
    if (isClosed && innerStreamReaders.length === 0) {
      controller == null ? void 0 : controller.close();
      return;
    }
    if (innerStreamReaders.length === 0) {
      waitForNewStream = createResolvablePromise();
      await waitForNewStream.promise;
      return processPull();
    }
    try {
      const { value, done } = await innerStreamReaders[0].read();
      if (done) {
        innerStreamReaders.shift();
        if (innerStreamReaders.length > 0) {
          await processPull();
        } else if (isClosed) {
          controller == null ? void 0 : controller.close();
        }
      } else {
        controller == null ? void 0 : controller.enqueue(value);
      }
    } catch (error) {
      controller == null ? void 0 : controller.error(error);
      innerStreamReaders.shift();
      terminate();
    }
  };
  return {
    stream: new ReadableStream({
      start(controllerParam) {
        controller = controllerParam;
      },
      pull: processPull,
      async cancel() {
        for (const reader of innerStreamReaders) {
          await reader.cancel();
        }
        innerStreamReaders = [];
        isClosed = true;
      }
    }),
    addStream: (innerStream) => {
      if (isClosed) {
        throw new Error("Cannot add inner stream: outer stream is closed");
      }
      innerStreamReaders.push(innerStream.getReader());
      waitForNewStream.resolve();
    },
    /**
     * Gracefully close the outer stream. This will let the inner streams
     * finish processing and then close the outer stream.
     */
    close: () => {
      isClosed = true;
      waitForNewStream.resolve();
      if (innerStreamReaders.length === 0) {
        controller == null ? void 0 : controller.close();
      }
    },
    /**
     * Immediately close the outer stream. This will cancel all inner streams
     * and close the outer stream.
     */
    terminate
  };
}

// src/util/delayed-promise.ts
var DelayedPromise = class {
  constructor() {
    this.status = { type: "pending" };
    this._resolve = void 0;
    this._reject = void 0;
  }
  get promise() {
    if (this._promise) {
      return this._promise;
    }
    this._promise = new Promise((resolve2, reject) => {
      if (this.status.type === "resolved") {
        resolve2(this.status.value);
      } else if (this.status.type === "rejected") {
        reject(this.status.error);
      }
      this._resolve = resolve2;
      this._reject = reject;
    });
    return this._promise;
  }
  resolve(value) {
    var _a17;
    this.status = { type: "resolved", value };
    if (this._promise) {
      (_a17 = this._resolve) == null ? void 0 : _a17.call(this, value);
    }
  }
  reject(error) {
    var _a17;
    this.status = { type: "rejected", error };
    if (this._promise) {
      (_a17 = this._reject) == null ? void 0 : _a17.call(this, error);
    }
  }
};

// src/util/now.ts
function now() {
  var _a17, _b;
  return (_b = (_a17 = globalThis == null ? void 0 : globalThis.performance) == null ? void 0 : _a17.now()) != null ? _b : Date.now();
}

// src/generate-text/run-tools-transformation.ts
import {
  executeTool as executeTool2,
  generateId,
  getErrorMessage as getErrorMessage6
} from "@ai-sdk/provider-utils";
function runToolsTransformation({
  tools,
  generatorStream,
  tracer,
  telemetry,
  system,
  messages,
  abortSignal,
  repairToolCall,
  experimental_context
}) {
  let toolResultsStreamController = null;
  const toolResultsStream = new ReadableStream({
    start(controller) {
      toolResultsStreamController = controller;
    }
  });
  const outstandingToolResults = /* @__PURE__ */ new Set();
  const toolInputs = /* @__PURE__ */ new Map();
  let canClose = false;
  let finishChunk = void 0;
  function attemptClose() {
    if (canClose && outstandingToolResults.size === 0) {
      if (finishChunk != null) {
        toolResultsStreamController.enqueue(finishChunk);
      }
      toolResultsStreamController.close();
    }
  }
  const forwardStream = new TransformStream({
    async transform(chunk, controller) {
      const chunkType = chunk.type;
      switch (chunkType) {
        case "stream-start":
        case "text-start":
        case "text-delta":
        case "text-end":
        case "reasoning-start":
        case "reasoning-delta":
        case "reasoning-end":
        case "tool-input-start":
        case "tool-input-delta":
        case "tool-input-end":
        case "source":
        case "response-metadata":
        case "error":
        case "raw": {
          controller.enqueue(chunk);
          break;
        }
        case "file": {
          controller.enqueue({
            type: "file",
            file: new DefaultGeneratedFileWithType({
              data: chunk.data,
              mediaType: chunk.mediaType
            })
          });
          break;
        }
        case "finish": {
          finishChunk = {
            type: "finish",
            finishReason: chunk.finishReason,
            usage: chunk.usage,
            providerMetadata: chunk.providerMetadata
          };
          break;
        }
        case "tool-call": {
          try {
            const toolCall = await parseToolCall({
              toolCall: chunk,
              tools,
              repairToolCall,
              system,
              messages
            });
            controller.enqueue(toolCall);
            if (toolCall.invalid) {
              toolResultsStreamController.enqueue({
                type: "tool-error",
                toolCallId: toolCall.toolCallId,
                toolName: toolCall.toolName,
                input: toolCall.input,
                error: getErrorMessage6(toolCall.error),
                dynamic: true
              });
              break;
            }
            const tool3 = tools[toolCall.toolName];
            toolInputs.set(toolCall.toolCallId, toolCall.input);
            if (tool3.onInputAvailable != null) {
              await tool3.onInputAvailable({
                input: toolCall.input,
                toolCallId: toolCall.toolCallId,
                messages,
                abortSignal,
                experimental_context
              });
            }
            if (tool3.execute != null && toolCall.providerExecuted !== true) {
              const toolExecutionId = generateId();
              outstandingToolResults.add(toolExecutionId);
              recordSpan({
                name: "ai.toolCall",
                attributes: selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    ...assembleOperationName({
                      operationId: "ai.toolCall",
                      telemetry
                    }),
                    "ai.toolCall.name": toolCall.toolName,
                    "ai.toolCall.id": toolCall.toolCallId,
                    "ai.toolCall.args": {
                      output: () => JSON.stringify(toolCall.input)
                    }
                  }
                }),
                tracer,
                fn: async (span) => {
                  let output;
                  try {
                    const stream = executeTool2({
                      execute: tool3.execute.bind(tool3),
                      input: toolCall.input,
                      options: {
                        toolCallId: toolCall.toolCallId,
                        messages,
                        abortSignal,
                        experimental_context
                      }
                    });
                    for await (const part of stream) {
                      toolResultsStreamController.enqueue({
                        ...toolCall,
                        type: "tool-result",
                        output: part.output,
                        ...part.type === "preliminary" && {
                          preliminary: true
                        }
                      });
                      if (part.type === "final") {
                        output = part.output;
                      }
                    }
                  } catch (error) {
                    recordErrorOnSpan(span, error);
                    toolResultsStreamController.enqueue({
                      ...toolCall,
                      type: "tool-error",
                      error
                    });
                    outstandingToolResults.delete(toolExecutionId);
                    attemptClose();
                    return;
                  }
                  outstandingToolResults.delete(toolExecutionId);
                  attemptClose();
                  try {
                    span.setAttributes(
                      selectTelemetryAttributes({
                        telemetry,
                        attributes: {
                          "ai.toolCall.result": {
                            output: () => JSON.stringify(output)
                          }
                        }
                      })
                    );
                  } catch (ignored) {
                  }
                }
              });
            }
          } catch (error) {
            toolResultsStreamController.enqueue({ type: "error", error });
          }
          break;
        }
        case "tool-result": {
          const toolName = chunk.toolName;
          if (chunk.isError) {
            toolResultsStreamController.enqueue({
              type: "tool-error",
              toolCallId: chunk.toolCallId,
              toolName,
              input: toolInputs.get(chunk.toolCallId),
              providerExecuted: chunk.providerExecuted,
              error: chunk.result
            });
          } else {
            controller.enqueue({
              type: "tool-result",
              toolCallId: chunk.toolCallId,
              toolName,
              input: toolInputs.get(chunk.toolCallId),
              output: chunk.result,
              providerExecuted: chunk.providerExecuted
            });
          }
          break;
        }
        default: {
          const _exhaustiveCheck = chunkType;
          throw new Error(`Unhandled chunk type: ${_exhaustiveCheck}`);
        }
      }
    },
    flush() {
      canClose = true;
      attemptClose();
    }
  });
  return new ReadableStream({
    async start(controller) {
      return Promise.all([
        generatorStream.pipeThrough(forwardStream).pipeTo(
          new WritableStream({
            write(chunk) {
              controller.enqueue(chunk);
            },
            close() {
            }
          })
        ),
        toolResultsStream.pipeTo(
          new WritableStream({
            write(chunk) {
              controller.enqueue(chunk);
            },
            close() {
              controller.close();
            }
          })
        )
      ]);
    }
  });
}

// src/generate-text/stream-text.ts
var originalGenerateId2 = createIdGenerator2({
  prefix: "aitxt",
  size: 24
});
function streamText({
  model,
  tools,
  toolChoice,
  system,
  prompt,
  messages,
  maxRetries,
  abortSignal,
  headers,
  stopWhen = stepCountIs(1),
  experimental_output: output,
  experimental_telemetry: telemetry,
  prepareStep,
  providerOptions,
  experimental_activeTools,
  activeTools = experimental_activeTools,
  experimental_repairToolCall: repairToolCall,
  experimental_transform: transform,
  experimental_download: download2,
  includeRawChunks = false,
  onChunk,
  onError = ({ error }) => {
    console.error(error);
  },
  onFinish,
  onAbort,
  onStepFinish,
  experimental_context,
  _internal: {
    now: now2 = now,
    generateId: generateId3 = originalGenerateId2,
    currentDate = () => /* @__PURE__ */ new Date()
  } = {},
  ...settings
}) {
  return new DefaultStreamTextResult({
    model: resolveLanguageModel(model),
    telemetry,
    headers,
    settings,
    maxRetries,
    abortSignal,
    system,
    prompt,
    messages,
    tools,
    toolChoice,
    transforms: asArray(transform),
    activeTools,
    repairToolCall,
    stopConditions: asArray(stopWhen),
    output,
    providerOptions,
    prepareStep,
    includeRawChunks,
    onChunk,
    onError,
    onFinish,
    onAbort,
    onStepFinish,
    now: now2,
    currentDate,
    generateId: generateId3,
    experimental_context,
    download: download2
  });
}
function createOutputTransformStream(output) {
  if (!output) {
    return new TransformStream({
      transform(chunk, controller) {
        controller.enqueue({ part: chunk, partialOutput: void 0 });
      }
    });
  }
  let firstTextChunkId = void 0;
  let text2 = "";
  let textChunk = "";
  let lastPublishedJson = "";
  function publishTextChunk({
    controller,
    partialOutput = void 0
  }) {
    controller.enqueue({
      part: {
        type: "text-delta",
        id: firstTextChunkId,
        text: textChunk
      },
      partialOutput
    });
    textChunk = "";
  }
  return new TransformStream({
    async transform(chunk, controller) {
      if (chunk.type === "finish-step" && textChunk.length > 0) {
        publishTextChunk({ controller });
      }
      if (chunk.type !== "text-delta" && chunk.type !== "text-start" && chunk.type !== "text-end") {
        controller.enqueue({ part: chunk, partialOutput: void 0 });
        return;
      }
      if (firstTextChunkId == null) {
        firstTextChunkId = chunk.id;
      } else if (chunk.id !== firstTextChunkId) {
        controller.enqueue({ part: chunk, partialOutput: void 0 });
        return;
      }
      if (chunk.type === "text-start") {
        controller.enqueue({ part: chunk, partialOutput: void 0 });
        return;
      }
      if (chunk.type === "text-end") {
        if (textChunk.length > 0) {
          publishTextChunk({ controller });
        }
        controller.enqueue({ part: chunk, partialOutput: void 0 });
        return;
      }
      text2 += chunk.text;
      textChunk += chunk.text;
      const result = await output.parsePartial({ text: text2 });
      if (result != null) {
        const currentJson = JSON.stringify(result.partial);
        if (currentJson !== lastPublishedJson) {
          publishTextChunk({ controller, partialOutput: result.partial });
          lastPublishedJson = currentJson;
        }
      }
    }
  });
}
var DefaultStreamTextResult = class {
  constructor({
    model,
    telemetry,
    headers,
    settings,
    maxRetries: maxRetriesArg,
    abortSignal,
    system,
    prompt,
    messages,
    tools,
    toolChoice,
    transforms,
    activeTools,
    repairToolCall,
    stopConditions,
    output,
    providerOptions,
    prepareStep,
    includeRawChunks,
    now: now2,
    currentDate,
    generateId: generateId3,
    onChunk,
    onError,
    onFinish,
    onAbort,
    onStepFinish,
    experimental_context,
    download: download2
  }) {
    this._totalUsage = new DelayedPromise();
    this._finishReason = new DelayedPromise();
    this._steps = new DelayedPromise();
    this.output = output;
    this.includeRawChunks = includeRawChunks;
    this.tools = tools;
    let stepFinish;
    let recordedContent = [];
    const recordedResponseMessages = [];
    let recordedFinishReason = void 0;
    let recordedTotalUsage = void 0;
    let recordedRequest = {};
    let recordedWarnings = [];
    const recordedSteps = [];
    let rootSpan;
    let activeTextContent = {};
    let activeReasoningContent = {};
    const eventProcessor = new TransformStream({
      async transform(chunk, controller) {
        var _a17, _b, _c, _d;
        controller.enqueue(chunk);
        const { part } = chunk;
        if (part.type === "text-delta" || part.type === "reasoning-delta" || part.type === "source" || part.type === "tool-call" || part.type === "tool-result" || part.type === "tool-input-start" || part.type === "tool-input-delta" || part.type === "raw") {
          await (onChunk == null ? void 0 : onChunk({ chunk: part }));
        }
        if (part.type === "error") {
          await onError({ error: wrapGatewayError(part.error) });
        }
        if (part.type === "text-start") {
          activeTextContent[part.id] = {
            type: "text",
            text: "",
            providerMetadata: part.providerMetadata
          };
          recordedContent.push(activeTextContent[part.id]);
        }
        if (part.type === "text-delta") {
          const activeText = activeTextContent[part.id];
          if (activeText == null) {
            controller.enqueue({
              part: {
                type: "error",
                error: `text part ${part.id} not found`
              },
              partialOutput: void 0
            });
            return;
          }
          activeText.text += part.text;
          activeText.providerMetadata = (_a17 = part.providerMetadata) != null ? _a17 : activeText.providerMetadata;
        }
        if (part.type === "text-end") {
          const activeText = activeTextContent[part.id];
          if (activeText == null) {
            controller.enqueue({
              part: {
                type: "error",
                error: `text part ${part.id} not found`
              },
              partialOutput: void 0
            });
            return;
          }
          activeText.providerMetadata = (_b = part.providerMetadata) != null ? _b : activeText.providerMetadata;
          delete activeTextContent[part.id];
        }
        if (part.type === "reasoning-start") {
          activeReasoningContent[part.id] = {
            type: "reasoning",
            text: "",
            providerMetadata: part.providerMetadata
          };
          recordedContent.push(activeReasoningContent[part.id]);
        }
        if (part.type === "reasoning-delta") {
          const activeReasoning = activeReasoningContent[part.id];
          if (activeReasoning == null) {
            controller.enqueue({
              part: {
                type: "error",
                error: `reasoning part ${part.id} not found`
              },
              partialOutput: void 0
            });
            return;
          }
          activeReasoning.text += part.text;
          activeReasoning.providerMetadata = (_c = part.providerMetadata) != null ? _c : activeReasoning.providerMetadata;
        }
        if (part.type === "reasoning-end") {
          const activeReasoning = activeReasoningContent[part.id];
          if (activeReasoning == null) {
            controller.enqueue({
              part: {
                type: "error",
                error: `reasoning part ${part.id} not found`
              },
              partialOutput: void 0
            });
            return;
          }
          activeReasoning.providerMetadata = (_d = part.providerMetadata) != null ? _d : activeReasoning.providerMetadata;
          delete activeReasoningContent[part.id];
        }
        if (part.type === "file") {
          recordedContent.push({ type: "file", file: part.file });
        }
        if (part.type === "source") {
          recordedContent.push(part);
        }
        if (part.type === "tool-call") {
          recordedContent.push(part);
        }
        if (part.type === "tool-result" && !part.preliminary) {
          recordedContent.push(part);
        }
        if (part.type === "tool-error") {
          recordedContent.push(part);
        }
        if (part.type === "start-step") {
          recordedRequest = part.request;
          recordedWarnings = part.warnings;
        }
        if (part.type === "finish-step") {
          const stepMessages = toResponseMessages({
            content: recordedContent,
            tools
          });
          const currentStepResult = new DefaultStepResult({
            content: recordedContent,
            finishReason: part.finishReason,
            usage: part.usage,
            warnings: recordedWarnings,
            request: recordedRequest,
            response: {
              ...part.response,
              messages: [...recordedResponseMessages, ...stepMessages]
            },
            providerMetadata: part.providerMetadata
          });
          await (onStepFinish == null ? void 0 : onStepFinish(currentStepResult));
          logWarnings(recordedWarnings);
          recordedSteps.push(currentStepResult);
          recordedContent = [];
          activeReasoningContent = {};
          activeTextContent = {};
          recordedResponseMessages.push(...stepMessages);
          stepFinish.resolve();
        }
        if (part.type === "finish") {
          recordedTotalUsage = part.totalUsage;
          recordedFinishReason = part.finishReason;
        }
      },
      async flush(controller) {
        try {
          if (recordedSteps.length === 0) {
            const error = new NoOutputGeneratedError({
              message: "No output generated. Check the stream for errors."
            });
            self._finishReason.reject(error);
            self._totalUsage.reject(error);
            self._steps.reject(error);
            return;
          }
          const finishReason = recordedFinishReason != null ? recordedFinishReason : "unknown";
          const totalUsage = recordedTotalUsage != null ? recordedTotalUsage : {
            inputTokens: void 0,
            outputTokens: void 0,
            totalTokens: void 0
          };
          self._finishReason.resolve(finishReason);
          self._totalUsage.resolve(totalUsage);
          self._steps.resolve(recordedSteps);
          const finalStep = recordedSteps[recordedSteps.length - 1];
          await (onFinish == null ? void 0 : onFinish({
            finishReason,
            totalUsage,
            usage: finalStep.usage,
            content: finalStep.content,
            text: finalStep.text,
            reasoningText: finalStep.reasoningText,
            reasoning: finalStep.reasoning,
            files: finalStep.files,
            sources: finalStep.sources,
            toolCalls: finalStep.toolCalls,
            staticToolCalls: finalStep.staticToolCalls,
            dynamicToolCalls: finalStep.dynamicToolCalls,
            toolResults: finalStep.toolResults,
            staticToolResults: finalStep.staticToolResults,
            dynamicToolResults: finalStep.dynamicToolResults,
            request: finalStep.request,
            response: finalStep.response,
            warnings: finalStep.warnings,
            providerMetadata: finalStep.providerMetadata,
            steps: recordedSteps
          }));
          rootSpan.setAttributes(
            selectTelemetryAttributes({
              telemetry,
              attributes: {
                "ai.response.finishReason": finishReason,
                "ai.response.text": { output: () => finalStep.text },
                "ai.response.toolCalls": {
                  output: () => {
                    var _a17;
                    return ((_a17 = finalStep.toolCalls) == null ? void 0 : _a17.length) ? JSON.stringify(finalStep.toolCalls) : void 0;
                  }
                },
                "ai.response.providerMetadata": JSON.stringify(
                  finalStep.providerMetadata
                ),
                "ai.usage.inputTokens": totalUsage.inputTokens,
                "ai.usage.outputTokens": totalUsage.outputTokens,
                "ai.usage.totalTokens": totalUsage.totalTokens,
                "ai.usage.reasoningTokens": totalUsage.reasoningTokens,
                "ai.usage.cachedInputTokens": totalUsage.cachedInputTokens
              }
            })
          );
        } catch (error) {
          controller.error(error);
        } finally {
          rootSpan.end();
        }
      }
    });
    const stitchableStream = createStitchableStream();
    this.addStream = stitchableStream.addStream;
    this.closeStream = stitchableStream.close;
    const reader = stitchableStream.stream.getReader();
    let stream = new ReadableStream({
      async start(controller) {
        controller.enqueue({ type: "start" });
      },
      async pull(controller) {
        function abort() {
          onAbort == null ? void 0 : onAbort({ steps: recordedSteps });
          controller.enqueue({ type: "abort" });
          controller.close();
        }
        try {
          const { done, value } = await reader.read();
          if (done) {
            controller.close();
            return;
          }
          if (abortSignal == null ? void 0 : abortSignal.aborted) {
            abort();
            return;
          }
          controller.enqueue(value);
        } catch (error) {
          if (isAbortError2(error) && (abortSignal == null ? void 0 : abortSignal.aborted)) {
            abort();
          } else {
            controller.error(error);
          }
        }
      },
      cancel(reason) {
        return stitchableStream.stream.cancel(reason);
      }
    });
    for (const transform of transforms) {
      stream = stream.pipeThrough(
        transform({
          tools,
          stopStream() {
            stitchableStream.terminate();
          }
        })
      );
    }
    this.baseStream = stream.pipeThrough(createOutputTransformStream(output)).pipeThrough(eventProcessor);
    const { maxRetries, retry } = prepareRetries({
      maxRetries: maxRetriesArg,
      abortSignal
    });
    const tracer = getTracer(telemetry);
    const callSettings = prepareCallSettings(settings);
    const baseTelemetryAttributes = getBaseTelemetryAttributes({
      model,
      telemetry,
      headers,
      settings: { ...callSettings, maxRetries }
    });
    const self = this;
    recordSpan({
      name: "ai.streamText",
      attributes: selectTelemetryAttributes({
        telemetry,
        attributes: {
          ...assembleOperationName({ operationId: "ai.streamText", telemetry }),
          ...baseTelemetryAttributes,
          // specific settings that only make sense on the outer level:
          "ai.prompt": {
            input: () => JSON.stringify({ system, prompt, messages })
          }
        }
      }),
      tracer,
      endWhenDone: false,
      fn: async (rootSpanArg) => {
        rootSpan = rootSpanArg;
        async function streamStep({
          currentStep,
          responseMessages,
          usage
        }) {
          var _a17, _b, _c, _d, _e;
          const includeRawChunks2 = self.includeRawChunks;
          stepFinish = new DelayedPromise();
          const initialPrompt = await standardizePrompt({
            system,
            prompt,
            messages
          });
          const stepInputMessages = [
            ...initialPrompt.messages,
            ...responseMessages
          ];
          const prepareStepResult = await (prepareStep == null ? void 0 : prepareStep({
            model,
            steps: recordedSteps,
            stepNumber: recordedSteps.length,
            messages: stepInputMessages
          }));
          const stepModel = resolveLanguageModel(
            (_a17 = prepareStepResult == null ? void 0 : prepareStepResult.model) != null ? _a17 : model
          );
          const promptMessages = await convertToLanguageModelPrompt({
            prompt: {
              system: (_b = prepareStepResult == null ? void 0 : prepareStepResult.system) != null ? _b : initialPrompt.system,
              messages: (_c = prepareStepResult == null ? void 0 : prepareStepResult.messages) != null ? _c : stepInputMessages
            },
            supportedUrls: await stepModel.supportedUrls,
            download: download2
          });
          const { toolChoice: stepToolChoice, tools: stepTools } = prepareToolsAndToolChoice({
            tools,
            toolChoice: (_d = prepareStepResult == null ? void 0 : prepareStepResult.toolChoice) != null ? _d : toolChoice,
            activeTools: (_e = prepareStepResult == null ? void 0 : prepareStepResult.activeTools) != null ? _e : activeTools
          });
          const {
            result: { stream: stream2, response, request },
            doStreamSpan,
            startTimestampMs
          } = await retry(
            () => recordSpan({
              name: "ai.streamText.doStream",
              attributes: selectTelemetryAttributes({
                telemetry,
                attributes: {
                  ...assembleOperationName({
                    operationId: "ai.streamText.doStream",
                    telemetry
                  }),
                  ...baseTelemetryAttributes,
                  // model:
                  "ai.model.provider": stepModel.provider,
                  "ai.model.id": stepModel.modelId,
                  // prompt:
                  "ai.prompt.messages": {
                    input: () => stringifyForTelemetry(promptMessages)
                  },
                  "ai.prompt.tools": {
                    // convert the language model level tools:
                    input: () => stepTools == null ? void 0 : stepTools.map((tool3) => JSON.stringify(tool3))
                  },
                  "ai.prompt.toolChoice": {
                    input: () => stepToolChoice != null ? JSON.stringify(stepToolChoice) : void 0
                  },
                  // standardized gen-ai llm span attributes:
                  "gen_ai.system": stepModel.provider,
                  "gen_ai.request.model": stepModel.modelId,
                  "gen_ai.request.frequency_penalty": callSettings.frequencyPenalty,
                  "gen_ai.request.max_tokens": callSettings.maxOutputTokens,
                  "gen_ai.request.presence_penalty": callSettings.presencePenalty,
                  "gen_ai.request.stop_sequences": callSettings.stopSequences,
                  "gen_ai.request.temperature": callSettings.temperature,
                  "gen_ai.request.top_k": callSettings.topK,
                  "gen_ai.request.top_p": callSettings.topP
                }
              }),
              tracer,
              endWhenDone: false,
              fn: async (doStreamSpan2) => {
                return {
                  startTimestampMs: now2(),
                  // get before the call
                  doStreamSpan: doStreamSpan2,
                  result: await stepModel.doStream({
                    ...callSettings,
                    tools: stepTools,
                    toolChoice: stepToolChoice,
                    responseFormat: output == null ? void 0 : output.responseFormat,
                    prompt: promptMessages,
                    providerOptions,
                    abortSignal,
                    headers,
                    includeRawChunks: includeRawChunks2
                  })
                };
              }
            })
          );
          const streamWithToolResults = runToolsTransformation({
            tools,
            generatorStream: stream2,
            tracer,
            telemetry,
            system,
            messages: stepInputMessages,
            repairToolCall,
            abortSignal,
            experimental_context
          });
          const stepRequest = request != null ? request : {};
          const stepToolCalls = [];
          const stepToolOutputs = [];
          let warnings;
          const activeToolCallToolNames = {};
          let stepFinishReason = "unknown";
          let stepUsage = {
            inputTokens: void 0,
            outputTokens: void 0,
            totalTokens: void 0
          };
          let stepProviderMetadata;
          let stepFirstChunk = true;
          let stepResponse = {
            id: generateId3(),
            timestamp: currentDate(),
            modelId: model.modelId
          };
          let activeText = "";
          self.addStream(
            streamWithToolResults.pipeThrough(
              new TransformStream({
                async transform(chunk, controller) {
                  var _a18, _b2, _c2, _d2;
                  if (chunk.type === "stream-start") {
                    warnings = chunk.warnings;
                    return;
                  }
                  if (stepFirstChunk) {
                    const msToFirstChunk = now2() - startTimestampMs;
                    stepFirstChunk = false;
                    doStreamSpan.addEvent("ai.stream.firstChunk", {
                      "ai.response.msToFirstChunk": msToFirstChunk
                    });
                    doStreamSpan.setAttributes({
                      "ai.response.msToFirstChunk": msToFirstChunk
                    });
                    controller.enqueue({
                      type: "start-step",
                      request: stepRequest,
                      warnings: warnings != null ? warnings : []
                    });
                  }
                  const chunkType = chunk.type;
                  switch (chunkType) {
                    case "text-start":
                    case "text-end": {
                      controller.enqueue(chunk);
                      break;
                    }
                    case "text-delta": {
                      if (chunk.delta.length > 0) {
                        controller.enqueue({
                          type: "text-delta",
                          id: chunk.id,
                          text: chunk.delta,
                          providerMetadata: chunk.providerMetadata
                        });
                        activeText += chunk.delta;
                      }
                      break;
                    }
                    case "reasoning-start":
                    case "reasoning-end": {
                      controller.enqueue(chunk);
                      break;
                    }
                    case "reasoning-delta": {
                      controller.enqueue({
                        type: "reasoning-delta",
                        id: chunk.id,
                        text: chunk.delta,
                        providerMetadata: chunk.providerMetadata
                      });
                      break;
                    }
                    case "tool-call": {
                      controller.enqueue(chunk);
                      stepToolCalls.push(chunk);
                      break;
                    }
                    case "tool-result": {
                      controller.enqueue(chunk);
                      if (!chunk.preliminary) {
                        stepToolOutputs.push(chunk);
                      }
                      break;
                    }
                    case "tool-error": {
                      controller.enqueue(chunk);
                      stepToolOutputs.push(chunk);
                      break;
                    }
                    case "response-metadata": {
                      stepResponse = {
                        id: (_a18 = chunk.id) != null ? _a18 : stepResponse.id,
                        timestamp: (_b2 = chunk.timestamp) != null ? _b2 : stepResponse.timestamp,
                        modelId: (_c2 = chunk.modelId) != null ? _c2 : stepResponse.modelId
                      };
                      break;
                    }
                    case "finish": {
                      stepUsage = chunk.usage;
                      stepFinishReason = chunk.finishReason;
                      stepProviderMetadata = chunk.providerMetadata;
                      const msToFinish = now2() - startTimestampMs;
                      doStreamSpan.addEvent("ai.stream.finish");
                      doStreamSpan.setAttributes({
                        "ai.response.msToFinish": msToFinish,
                        "ai.response.avgOutputTokensPerSecond": 1e3 * ((_d2 = stepUsage.outputTokens) != null ? _d2 : 0) / msToFinish
                      });
                      break;
                    }
                    case "file": {
                      controller.enqueue(chunk);
                      break;
                    }
                    case "source": {
                      controller.enqueue(chunk);
                      break;
                    }
                    case "tool-input-start": {
                      activeToolCallToolNames[chunk.id] = chunk.toolName;
                      const tool3 = tools == null ? void 0 : tools[chunk.toolName];
                      if ((tool3 == null ? void 0 : tool3.onInputStart) != null) {
                        await tool3.onInputStart({
                          toolCallId: chunk.id,
                          messages: stepInputMessages,
                          abortSignal,
                          experimental_context
                        });
                      }
                      controller.enqueue({
                        ...chunk,
                        dynamic: (tool3 == null ? void 0 : tool3.type) === "dynamic"
                      });
                      break;
                    }
                    case "tool-input-end": {
                      delete activeToolCallToolNames[chunk.id];
                      controller.enqueue(chunk);
                      break;
                    }
                    case "tool-input-delta": {
                      const toolName = activeToolCallToolNames[chunk.id];
                      const tool3 = tools == null ? void 0 : tools[toolName];
                      if ((tool3 == null ? void 0 : tool3.onInputDelta) != null) {
                        await tool3.onInputDelta({
                          inputTextDelta: chunk.delta,
                          toolCallId: chunk.id,
                          messages: stepInputMessages,
                          abortSignal,
                          experimental_context
                        });
                      }
                      controller.enqueue(chunk);
                      break;
                    }
                    case "error": {
                      controller.enqueue(chunk);
                      stepFinishReason = "error";
                      break;
                    }
                    case "raw": {
                      if (includeRawChunks2) {
                        controller.enqueue(chunk);
                      }
                      break;
                    }
                    default: {
                      const exhaustiveCheck = chunkType;
                      throw new Error(`Unknown chunk type: ${exhaustiveCheck}`);
                    }
                  }
                },
                // invoke onFinish callback and resolve toolResults promise when the stream is about to close:
                async flush(controller) {
                  const stepToolCallsJson = stepToolCalls.length > 0 ? JSON.stringify(stepToolCalls) : void 0;
                  try {
                    doStreamSpan.setAttributes(
                      selectTelemetryAttributes({
                        telemetry,
                        attributes: {
                          "ai.response.finishReason": stepFinishReason,
                          "ai.response.text": {
                            output: () => activeText
                          },
                          "ai.response.toolCalls": {
                            output: () => stepToolCallsJson
                          },
                          "ai.response.id": stepResponse.id,
                          "ai.response.model": stepResponse.modelId,
                          "ai.response.timestamp": stepResponse.timestamp.toISOString(),
                          "ai.response.providerMetadata": JSON.stringify(stepProviderMetadata),
                          "ai.usage.inputTokens": stepUsage.inputTokens,
                          "ai.usage.outputTokens": stepUsage.outputTokens,
                          "ai.usage.totalTokens": stepUsage.totalTokens,
                          "ai.usage.reasoningTokens": stepUsage.reasoningTokens,
                          "ai.usage.cachedInputTokens": stepUsage.cachedInputTokens,
                          // standardized gen-ai llm span attributes:
                          "gen_ai.response.finish_reasons": [stepFinishReason],
                          "gen_ai.response.id": stepResponse.id,
                          "gen_ai.response.model": stepResponse.modelId,
                          "gen_ai.usage.input_tokens": stepUsage.inputTokens,
                          "gen_ai.usage.output_tokens": stepUsage.outputTokens
                        }
                      })
                    );
                  } catch (error) {
                  } finally {
                    doStreamSpan.end();
                  }
                  controller.enqueue({
                    type: "finish-step",
                    finishReason: stepFinishReason,
                    usage: stepUsage,
                    providerMetadata: stepProviderMetadata,
                    response: {
                      ...stepResponse,
                      headers: response == null ? void 0 : response.headers
                    }
                  });
                  const combinedUsage = addLanguageModelUsage(usage, stepUsage);
                  await stepFinish.promise;
                  const clientToolCalls = stepToolCalls.filter(
                    (toolCall) => toolCall.providerExecuted !== true
                  );
                  const clientToolOutputs = stepToolOutputs.filter(
                    (toolOutput) => toolOutput.providerExecuted !== true
                  );
                  if (clientToolCalls.length > 0 && // all current tool calls have outputs (incl. execution errors):
                  clientToolOutputs.length === clientToolCalls.length && // continue until a stop condition is met:
                  !await isStopConditionMet({
                    stopConditions,
                    steps: recordedSteps
                  })) {
                    responseMessages.push(
                      ...toResponseMessages({
                        content: (
                          // use transformed content to create the messages for the next step:
                          recordedSteps[recordedSteps.length - 1].content
                        ),
                        tools
                      })
                    );
                    try {
                      await streamStep({
                        currentStep: currentStep + 1,
                        responseMessages,
                        usage: combinedUsage
                      });
                    } catch (error) {
                      controller.enqueue({
                        type: "error",
                        error
                      });
                      self.closeStream();
                    }
                  } else {
                    controller.enqueue({
                      type: "finish",
                      finishReason: stepFinishReason,
                      totalUsage: combinedUsage
                    });
                    self.closeStream();
                  }
                }
              })
            )
          );
        }
        await streamStep({
          currentStep: 0,
          responseMessages: [],
          usage: {
            inputTokens: void 0,
            outputTokens: void 0,
            totalTokens: void 0
          }
        });
      }
    }).catch((error) => {
      self.addStream(
        new ReadableStream({
          start(controller) {
            controller.enqueue({ type: "error", error });
            controller.close();
          }
        })
      );
      self.closeStream();
    });
  }
  get steps() {
    this.consumeStream();
    return this._steps.promise;
  }
  get finalStep() {
    return this.steps.then((steps) => steps[steps.length - 1]);
  }
  get content() {
    return this.finalStep.then((step) => step.content);
  }
  get warnings() {
    return this.finalStep.then((step) => step.warnings);
  }
  get providerMetadata() {
    return this.finalStep.then((step) => step.providerMetadata);
  }
  get text() {
    return this.finalStep.then((step) => step.text);
  }
  get reasoningText() {
    return this.finalStep.then((step) => step.reasoningText);
  }
  get reasoning() {
    return this.finalStep.then((step) => step.reasoning);
  }
  get sources() {
    return this.finalStep.then((step) => step.sources);
  }
  get files() {
    return this.finalStep.then((step) => step.files);
  }
  get toolCalls() {
    return this.finalStep.then((step) => step.toolCalls);
  }
  get staticToolCalls() {
    return this.finalStep.then((step) => step.staticToolCalls);
  }
  get dynamicToolCalls() {
    return this.finalStep.then((step) => step.dynamicToolCalls);
  }
  get toolResults() {
    return this.finalStep.then((step) => step.toolResults);
  }
  get staticToolResults() {
    return this.finalStep.then((step) => step.staticToolResults);
  }
  get dynamicToolResults() {
    return this.finalStep.then((step) => step.dynamicToolResults);
  }
  get usage() {
    return this.finalStep.then((step) => step.usage);
  }
  get request() {
    return this.finalStep.then((step) => step.request);
  }
  get response() {
    return this.finalStep.then((step) => step.response);
  }
  get totalUsage() {
    this.consumeStream();
    return this._totalUsage.promise;
  }
  get finishReason() {
    this.consumeStream();
    return this._finishReason.promise;
  }
  /**
  Split out a new stream from the original stream.
  The original stream is replaced to allow for further splitting,
  since we do not know how many times the stream will be split.
  
  Note: this leads to buffering the stream content on the server.
  However, the LLM results are expected to be small enough to not cause issues.
     */
  teeStream() {
    const [stream1, stream2] = this.baseStream.tee();
    this.baseStream = stream2;
    return stream1;
  }
  get textStream() {
    return createAsyncIterableStream(
      this.teeStream().pipeThrough(
        new TransformStream({
          transform({ part }, controller) {
            if (part.type === "text-delta") {
              controller.enqueue(part.text);
            }
          }
        })
      )
    );
  }
  get fullStream() {
    return createAsyncIterableStream(
      this.teeStream().pipeThrough(
        new TransformStream({
          transform({ part }, controller) {
            controller.enqueue(part);
          }
        })
      )
    );
  }
  async consumeStream(options) {
    var _a17;
    try {
      await consumeStream({
        stream: this.fullStream,
        onError: options == null ? void 0 : options.onError
      });
    } catch (error) {
      (_a17 = options == null ? void 0 : options.onError) == null ? void 0 : _a17.call(options, error);
    }
  }
  get experimental_partialOutputStream() {
    if (this.output == null) {
      throw new NoOutputSpecifiedError();
    }
    return createAsyncIterableStream(
      this.teeStream().pipeThrough(
        new TransformStream({
          transform({ partialOutput }, controller) {
            if (partialOutput != null) {
              controller.enqueue(partialOutput);
            }
          }
        })
      )
    );
  }
  toUIMessageStream({
    originalMessages,
    generateMessageId,
    onFinish,
    messageMetadata,
    sendReasoning = true,
    sendSources = false,
    sendStart = true,
    sendFinish = true,
    onError = getErrorMessage7
  } = {}) {
    const responseMessageId = generateMessageId != null ? getResponseUIMessageId({
      originalMessages,
      responseMessageId: generateMessageId
    }) : void 0;
    const toolNamesByCallId = {};
    const isDynamic = (toolCallId) => {
      var _a17, _b;
      const toolName = toolNamesByCallId[toolCallId];
      const dynamic = ((_b = (_a17 = this.tools) == null ? void 0 : _a17[toolName]) == null ? void 0 : _b.type) === "dynamic";
      return dynamic ? true : void 0;
    };
    const baseStream = this.fullStream.pipeThrough(
      new TransformStream({
        transform: async (part, controller) => {
          const messageMetadataValue = messageMetadata == null ? void 0 : messageMetadata({ part });
          const partType = part.type;
          switch (partType) {
            case "text-start": {
              controller.enqueue({
                type: "text-start",
                id: part.id,
                ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
              });
              break;
            }
            case "text-delta": {
              controller.enqueue({
                type: "text-delta",
                id: part.id,
                delta: part.text,
                ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
              });
              break;
            }
            case "text-end": {
              controller.enqueue({
                type: "text-end",
                id: part.id,
                ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
              });
              break;
            }
            case "reasoning-start": {
              controller.enqueue({
                type: "reasoning-start",
                id: part.id,
                ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
              });
              break;
            }
            case "reasoning-delta": {
              if (sendReasoning) {
                controller.enqueue({
                  type: "reasoning-delta",
                  id: part.id,
                  delta: part.text,
                  ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
                });
              }
              break;
            }
            case "reasoning-end": {
              controller.enqueue({
                type: "reasoning-end",
                id: part.id,
                ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
              });
              break;
            }
            case "file": {
              controller.enqueue({
                type: "file",
                mediaType: part.file.mediaType,
                url: `data:${part.file.mediaType};base64,${part.file.base64}`
              });
              break;
            }
            case "source": {
              if (sendSources && part.sourceType === "url") {
                controller.enqueue({
                  type: "source-url",
                  sourceId: part.id,
                  url: part.url,
                  title: part.title,
                  ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
                });
              }
              if (sendSources && part.sourceType === "document") {
                controller.enqueue({
                  type: "source-document",
                  sourceId: part.id,
                  mediaType: part.mediaType,
                  title: part.title,
                  filename: part.filename,
                  ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {}
                });
              }
              break;
            }
            case "tool-input-start": {
              toolNamesByCallId[part.id] = part.toolName;
              const dynamic = isDynamic(part.id);
              controller.enqueue({
                type: "tool-input-start",
                toolCallId: part.id,
                toolName: part.toolName,
                ...part.providerExecuted != null ? { providerExecuted: part.providerExecuted } : {},
                ...dynamic != null ? { dynamic } : {}
              });
              break;
            }
            case "tool-input-delta": {
              controller.enqueue({
                type: "tool-input-delta",
                toolCallId: part.id,
                inputTextDelta: part.delta
              });
              break;
            }
            case "tool-call": {
              toolNamesByCallId[part.toolCallId] = part.toolName;
              const dynamic = isDynamic(part.toolCallId);
              if (part.invalid) {
                controller.enqueue({
                  type: "tool-input-error",
                  toolCallId: part.toolCallId,
                  toolName: part.toolName,
                  input: part.input,
                  ...part.providerExecuted != null ? { providerExecuted: part.providerExecuted } : {},
                  ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {},
                  ...dynamic != null ? { dynamic } : {},
                  errorText: onError(part.error)
                });
              } else {
                controller.enqueue({
                  type: "tool-input-available",
                  toolCallId: part.toolCallId,
                  toolName: part.toolName,
                  input: part.input,
                  ...part.providerExecuted != null ? { providerExecuted: part.providerExecuted } : {},
                  ...part.providerMetadata != null ? { providerMetadata: part.providerMetadata } : {},
                  ...dynamic != null ? { dynamic } : {}
                });
              }
              break;
            }
            case "tool-result": {
              const dynamic = isDynamic(part.toolCallId);
              controller.enqueue({
                type: "tool-output-available",
                toolCallId: part.toolCallId,
                output: part.output,
                ...part.providerExecuted != null ? { providerExecuted: part.providerExecuted } : {},
                ...part.preliminary != null ? { preliminary: part.preliminary } : {},
                ...dynamic != null ? { dynamic } : {}
              });
              break;
            }
            case "tool-error": {
              const dynamic = isDynamic(part.toolCallId);
              controller.enqueue({
                type: "tool-output-error",
                toolCallId: part.toolCallId,
                errorText: onError(part.error),
                ...part.providerExecuted != null ? { providerExecuted: part.providerExecuted } : {},
                ...dynamic != null ? { dynamic } : {}
              });
              break;
            }
            case "error": {
              controller.enqueue({
                type: "error",
                errorText: onError(part.error)
              });
              break;
            }
            case "start-step": {
              controller.enqueue({ type: "start-step" });
              break;
            }
            case "finish-step": {
              controller.enqueue({ type: "finish-step" });
              break;
            }
            case "start": {
              if (sendStart) {
                controller.enqueue({
                  type: "start",
                  ...messageMetadataValue != null ? { messageMetadata: messageMetadataValue } : {},
                  ...responseMessageId != null ? { messageId: responseMessageId } : {}
                });
              }
              break;
            }
            case "finish": {
              if (sendFinish) {
                controller.enqueue({
                  type: "finish",
                  ...messageMetadataValue != null ? { messageMetadata: messageMetadataValue } : {}
                });
              }
              break;
            }
            case "abort": {
              controller.enqueue(part);
              break;
            }
            case "tool-input-end": {
              break;
            }
            case "raw": {
              break;
            }
            default: {
              const exhaustiveCheck = partType;
              throw new Error(`Unknown chunk type: ${exhaustiveCheck}`);
            }
          }
          if (messageMetadataValue != null && partType !== "start" && partType !== "finish") {
            controller.enqueue({
              type: "message-metadata",
              messageMetadata: messageMetadataValue
            });
          }
        }
      })
    );
    return createAsyncIterableStream(
      handleUIMessageStreamFinish({
        stream: baseStream,
        messageId: responseMessageId != null ? responseMessageId : generateMessageId == null ? void 0 : generateMessageId(),
        originalMessages,
        onFinish,
        onError
      })
    );
  }
  pipeUIMessageStreamToResponse(response, {
    originalMessages,
    generateMessageId,
    onFinish,
    messageMetadata,
    sendReasoning,
    sendSources,
    sendFinish,
    sendStart,
    onError,
    ...init
  } = {}) {
    pipeUIMessageStreamToResponse({
      response,
      stream: this.toUIMessageStream({
        originalMessages,
        generateMessageId,
        onFinish,
        messageMetadata,
        sendReasoning,
        sendSources,
        sendFinish,
        sendStart,
        onError
      }),
      ...init
    });
  }
  pipeTextStreamToResponse(response, init) {
    pipeTextStreamToResponse({
      response,
      textStream: this.textStream,
      ...init
    });
  }
  toUIMessageStreamResponse({
    originalMessages,
    generateMessageId,
    onFinish,
    messageMetadata,
    sendReasoning,
    sendSources,
    sendFinish,
    sendStart,
    onError,
    ...init
  } = {}) {
    return createUIMessageStreamResponse({
      stream: this.toUIMessageStream({
        originalMessages,
        generateMessageId,
        onFinish,
        messageMetadata,
        sendReasoning,
        sendSources,
        sendFinish,
        sendStart,
        onError
      }),
      ...init
    });
  }
  toTextStreamResponse(init) {
    return createTextStreamResponse({
      textStream: this.textStream,
      ...init
    });
  }
};

// src/ui/convert-to-model-messages.ts
function convertToModelMessages(messages, options) {
  const modelMessages = [];
  if (options == null ? void 0 : options.ignoreIncompleteToolCalls) {
    messages = messages.map((message) => ({
      ...message,
      parts: message.parts.filter(
        (part) => !isToolOrDynamicToolUIPart(part) || part.state !== "input-streaming" && part.state !== "input-available"
      )
    }));
  }
  for (const message of messages) {
    switch (message.role) {
      case "system": {
        const textParts = message.parts.filter((part) => part.type === "text");
        const providerMetadata = textParts.reduce((acc, part) => {
          if (part.providerMetadata != null) {
            return { ...acc, ...part.providerMetadata };
          }
          return acc;
        }, {});
        modelMessages.push({
          role: "system",
          content: textParts.map((part) => part.text).join(""),
          ...Object.keys(providerMetadata).length > 0 ? { providerOptions: providerMetadata } : {}
        });
        break;
      }
      case "user": {
        modelMessages.push({
          role: "user",
          content: message.parts.filter(
            (part) => part.type === "text" || part.type === "file"
          ).map((part) => {
            switch (part.type) {
              case "text":
                return {
                  type: "text",
                  text: part.text,
                  ...part.providerMetadata != null ? { providerOptions: part.providerMetadata } : {}
                };
              case "file":
                return {
                  type: "file",
                  mediaType: part.mediaType,
                  filename: part.filename,
                  data: part.url,
                  ...part.providerMetadata != null ? { providerOptions: part.providerMetadata } : {}
                };
              default:
                return part;
            }
          })
        });
        break;
      }
      case "assistant": {
        if (message.parts != null) {
          let processBlock2 = function() {
            var _a17, _b;
            if (block.length === 0) {
              return;
            }
            const content = [];
            for (const part of block) {
              if (part.type === "text") {
                content.push({
                  type: "text",
                  text: part.text,
                  ...part.providerMetadata != null ? { providerOptions: part.providerMetadata } : {}
                });
              } else if (part.type === "file") {
                content.push({
                  type: "file",
                  mediaType: part.mediaType,
                  filename: part.filename,
                  data: part.url
                });
              } else if (part.type === "reasoning") {
                content.push({
                  type: "reasoning",
                  text: part.text,
                  providerOptions: part.providerMetadata
                });
              } else if (part.type === "dynamic-tool") {
                const toolName = part.toolName;
                if (part.state !== "input-streaming") {
                  content.push({
                    type: "tool-call",
                    toolCallId: part.toolCallId,
                    toolName,
                    input: part.input,
                    ...part.callProviderMetadata != null ? { providerOptions: part.callProviderMetadata } : {}
                  });
                }
              } else if (isToolUIPart(part)) {
                const toolName = getToolName(part);
                if (part.state !== "input-streaming") {
                  content.push({
                    type: "tool-call",
                    toolCallId: part.toolCallId,
                    toolName,
                    input: part.state === "output-error" ? (_a17 = part.input) != null ? _a17 : part.rawInput : part.input,
                    providerExecuted: part.providerExecuted,
                    ...part.callProviderMetadata != null ? { providerOptions: part.callProviderMetadata } : {}
                  });
                  if (part.providerExecuted === true && (part.state === "output-available" || part.state === "output-error")) {
                    content.push({
                      type: "tool-result",
                      toolCallId: part.toolCallId,
                      toolName,
                      output: createToolModelOutput({
                        output: part.state === "output-error" ? part.errorText : part.output,
                        tool: (_b = options == null ? void 0 : options.tools) == null ? void 0 : _b[toolName],
                        errorMode: part.state === "output-error" ? "json" : "none"
                      })
                    });
                  }
                }
              } else {
                const _exhaustiveCheck = part;
                throw new Error(`Unsupported part: ${_exhaustiveCheck}`);
              }
            }
            modelMessages.push({
              role: "assistant",
              content
            });
            const toolParts = block.filter(
              (part) => isToolUIPart(part) && part.providerExecuted !== true || part.type === "dynamic-tool"
            );
            if (toolParts.length > 0) {
              modelMessages.push({
                role: "tool",
                content: toolParts.map((toolPart) => {
                  var _a18;
                  switch (toolPart.state) {
                    case "output-error":
                    case "output-available": {
                      const toolName = toolPart.type === "dynamic-tool" ? toolPart.toolName : getToolName(toolPart);
                      return {
                        type: "tool-result",
                        toolCallId: toolPart.toolCallId,
                        toolName,
                        output: createToolModelOutput({
                          output: toolPart.state === "output-error" ? toolPart.errorText : toolPart.output,
                          tool: (_a18 = options == null ? void 0 : options.tools) == null ? void 0 : _a18[toolName],
                          errorMode: toolPart.state === "output-error" ? "text" : "none"
                        })
                      };
                    }
                    default: {
                      return null;
                    }
                  }
                }).filter(
                  (output) => output != null
                )
              });
            }
            block = [];
          };
          var processBlock = processBlock2;
          let block = [];
          for (const part of message.parts) {
            if (part.type === "text" || part.type === "reasoning" || part.type === "file" || part.type === "dynamic-tool" || isToolUIPart(part)) {
              block.push(part);
            } else if (part.type === "step-start") {
              processBlock2();
            }
          }
          processBlock2();
          break;
        }
        break;
      }
      default: {
        const _exhaustiveCheck = message.role;
        throw new MessageConversionError({
          originalMessage: message,
          message: `Unsupported role: ${_exhaustiveCheck}`
        });
      }
    }
  }
  return modelMessages;
}
var convertToCoreMessages = convertToModelMessages;

// src/agent/agent.ts
var Agent = class {
  constructor(settings) {
    this.settings = settings;
  }
  get tools() {
    return this.settings.tools;
  }
  async generate(options) {
    return generateText({ ...this.settings, ...options });
  }
  stream(options) {
    return streamText({ ...this.settings, ...options });
  }
  /**
   * Creates a response object that streams UI messages to the client.
   */
  respond(options) {
    return this.stream({
      prompt: convertToModelMessages(options.messages)
    }).toUIMessageStreamResponse();
  }
};

// src/embed/embed.ts
import { withUserAgentSuffix as withUserAgentSuffix3 } from "@ai-sdk/provider-utils";
async function embed({
  model: modelArg,
  value,
  providerOptions,
  maxRetries: maxRetriesArg,
  abortSignal,
  headers,
  experimental_telemetry: telemetry
}) {
  const model = resolveEmbeddingModel(modelArg);
  const { maxRetries, retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const headersWithUserAgent = withUserAgentSuffix3(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const baseTelemetryAttributes = getBaseTelemetryAttributes({
    model,
    telemetry,
    headers: headersWithUserAgent,
    settings: { maxRetries }
  });
  const tracer = getTracer(telemetry);
  return recordSpan({
    name: "ai.embed",
    attributes: selectTelemetryAttributes({
      telemetry,
      attributes: {
        ...assembleOperationName({ operationId: "ai.embed", telemetry }),
        ...baseTelemetryAttributes,
        "ai.value": { input: () => JSON.stringify(value) }
      }
    }),
    tracer,
    fn: async (span) => {
      const { embedding, usage, response, providerMetadata } = await retry(
        () => (
          // nested spans to align with the embedMany telemetry data:
          recordSpan({
            name: "ai.embed.doEmbed",
            attributes: selectTelemetryAttributes({
              telemetry,
              attributes: {
                ...assembleOperationName({
                  operationId: "ai.embed.doEmbed",
                  telemetry
                }),
                ...baseTelemetryAttributes,
                // specific settings that only make sense on the outer level:
                "ai.values": { input: () => [JSON.stringify(value)] }
              }
            }),
            tracer,
            fn: async (doEmbedSpan) => {
              var _a17;
              const modelResponse = await model.doEmbed({
                values: [value],
                abortSignal,
                headers: headersWithUserAgent,
                providerOptions
              });
              const embedding2 = modelResponse.embeddings[0];
              const usage2 = (_a17 = modelResponse.usage) != null ? _a17 : { tokens: NaN };
              doEmbedSpan.setAttributes(
                selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    "ai.embeddings": {
                      output: () => modelResponse.embeddings.map(
                        (embedding3) => JSON.stringify(embedding3)
                      )
                    },
                    "ai.usage.tokens": usage2.tokens
                  }
                })
              );
              return {
                embedding: embedding2,
                usage: usage2,
                providerMetadata: modelResponse.providerMetadata,
                response: modelResponse.response
              };
            }
          })
        )
      );
      span.setAttributes(
        selectTelemetryAttributes({
          telemetry,
          attributes: {
            "ai.embedding": { output: () => JSON.stringify(embedding) },
            "ai.usage.tokens": usage.tokens
          }
        })
      );
      return new DefaultEmbedResult({
        value,
        embedding,
        usage,
        providerMetadata,
        response
      });
    }
  });
}
var DefaultEmbedResult = class {
  constructor(options) {
    this.value = options.value;
    this.embedding = options.embedding;
    this.usage = options.usage;
    this.providerMetadata = options.providerMetadata;
    this.response = options.response;
  }
};

// src/embed/embed-many.ts
import { withUserAgentSuffix as withUserAgentSuffix4 } from "@ai-sdk/provider-utils";

// src/util/split-array.ts
function splitArray(array, chunkSize) {
  if (chunkSize <= 0) {
    throw new Error("chunkSize must be greater than 0");
  }
  const result = [];
  for (let i = 0; i < array.length; i += chunkSize) {
    result.push(array.slice(i, i + chunkSize));
  }
  return result;
}

// src/embed/embed-many.ts
async function embedMany({
  model: modelArg,
  values,
  maxParallelCalls = Infinity,
  maxRetries: maxRetriesArg,
  abortSignal,
  headers,
  providerOptions,
  experimental_telemetry: telemetry
}) {
  const model = resolveEmbeddingModel(modelArg);
  const { maxRetries, retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const headersWithUserAgent = withUserAgentSuffix4(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const baseTelemetryAttributes = getBaseTelemetryAttributes({
    model,
    telemetry,
    headers: headersWithUserAgent,
    settings: { maxRetries }
  });
  const tracer = getTracer(telemetry);
  return recordSpan({
    name: "ai.embedMany",
    attributes: selectTelemetryAttributes({
      telemetry,
      attributes: {
        ...assembleOperationName({ operationId: "ai.embedMany", telemetry }),
        ...baseTelemetryAttributes,
        // specific settings that only make sense on the outer level:
        "ai.values": {
          input: () => values.map((value) => JSON.stringify(value))
        }
      }
    }),
    tracer,
    fn: async (span) => {
      var _a17;
      const [maxEmbeddingsPerCall, supportsParallelCalls] = await Promise.all([
        model.maxEmbeddingsPerCall,
        model.supportsParallelCalls
      ]);
      if (maxEmbeddingsPerCall == null || maxEmbeddingsPerCall === Infinity) {
        const { embeddings: embeddings2, usage, response, providerMetadata: providerMetadata2 } = await retry(
          () => {
            return recordSpan({
              name: "ai.embedMany.doEmbed",
              attributes: selectTelemetryAttributes({
                telemetry,
                attributes: {
                  ...assembleOperationName({
                    operationId: "ai.embedMany.doEmbed",
                    telemetry
                  }),
                  ...baseTelemetryAttributes,
                  // specific settings that only make sense on the outer level:
                  "ai.values": {
                    input: () => values.map((value) => JSON.stringify(value))
                  }
                }
              }),
              tracer,
              fn: async (doEmbedSpan) => {
                var _a18;
                const modelResponse = await model.doEmbed({
                  values,
                  abortSignal,
                  headers: headersWithUserAgent,
                  providerOptions
                });
                const embeddings3 = modelResponse.embeddings;
                const usage2 = (_a18 = modelResponse.usage) != null ? _a18 : { tokens: NaN };
                doEmbedSpan.setAttributes(
                  selectTelemetryAttributes({
                    telemetry,
                    attributes: {
                      "ai.embeddings": {
                        output: () => embeddings3.map(
                          (embedding) => JSON.stringify(embedding)
                        )
                      },
                      "ai.usage.tokens": usage2.tokens
                    }
                  })
                );
                return {
                  embeddings: embeddings3,
                  usage: usage2,
                  providerMetadata: modelResponse.providerMetadata,
                  response: modelResponse.response
                };
              }
            });
          }
        );
        span.setAttributes(
          selectTelemetryAttributes({
            telemetry,
            attributes: {
              "ai.embeddings": {
                output: () => embeddings2.map((embedding) => JSON.stringify(embedding))
              },
              "ai.usage.tokens": usage.tokens
            }
          })
        );
        return new DefaultEmbedManyResult({
          values,
          embeddings: embeddings2,
          usage,
          providerMetadata: providerMetadata2,
          responses: [response]
        });
      }
      const valueChunks = splitArray(values, maxEmbeddingsPerCall);
      const embeddings = [];
      const responses = [];
      let tokens = 0;
      let providerMetadata;
      const parallelChunks = splitArray(
        valueChunks,
        supportsParallelCalls ? maxParallelCalls : 1
      );
      for (const parallelChunk of parallelChunks) {
        const results = await Promise.all(
          parallelChunk.map((chunk) => {
            return retry(() => {
              return recordSpan({
                name: "ai.embedMany.doEmbed",
                attributes: selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    ...assembleOperationName({
                      operationId: "ai.embedMany.doEmbed",
                      telemetry
                    }),
                    ...baseTelemetryAttributes,
                    // specific settings that only make sense on the outer level:
                    "ai.values": {
                      input: () => chunk.map((value) => JSON.stringify(value))
                    }
                  }
                }),
                tracer,
                fn: async (doEmbedSpan) => {
                  var _a18;
                  const modelResponse = await model.doEmbed({
                    values: chunk,
                    abortSignal,
                    headers: headersWithUserAgent,
                    providerOptions
                  });
                  const embeddings2 = modelResponse.embeddings;
                  const usage = (_a18 = modelResponse.usage) != null ? _a18 : { tokens: NaN };
                  doEmbedSpan.setAttributes(
                    selectTelemetryAttributes({
                      telemetry,
                      attributes: {
                        "ai.embeddings": {
                          output: () => embeddings2.map(
                            (embedding) => JSON.stringify(embedding)
                          )
                        },
                        "ai.usage.tokens": usage.tokens
                      }
                    })
                  );
                  return {
                    embeddings: embeddings2,
                    usage,
                    providerMetadata: modelResponse.providerMetadata,
                    response: modelResponse.response
                  };
                }
              });
            });
          })
        );
        for (const result of results) {
          embeddings.push(...result.embeddings);
          responses.push(result.response);
          tokens += result.usage.tokens;
          if (result.providerMetadata) {
            if (!providerMetadata) {
              providerMetadata = { ...result.providerMetadata };
            } else {
              for (const [providerName, metadata] of Object.entries(
                result.providerMetadata
              )) {
                providerMetadata[providerName] = {
                  ...(_a17 = providerMetadata[providerName]) != null ? _a17 : {},
                  ...metadata
                };
              }
            }
          }
        }
      }
      span.setAttributes(
        selectTelemetryAttributes({
          telemetry,
          attributes: {
            "ai.embeddings": {
              output: () => embeddings.map((embedding) => JSON.stringify(embedding))
            },
            "ai.usage.tokens": tokens
          }
        })
      );
      return new DefaultEmbedManyResult({
        values,
        embeddings,
        usage: { tokens },
        providerMetadata,
        responses
      });
    }
  });
}
var DefaultEmbedManyResult = class {
  constructor(options) {
    this.values = options.values;
    this.embeddings = options.embeddings;
    this.usage = options.usage;
    this.providerMetadata = options.providerMetadata;
    this.responses = options.responses;
  }
};

// src/generate-image/generate-image.ts
import { withUserAgentSuffix as withUserAgentSuffix5 } from "@ai-sdk/provider-utils";
async function generateImage({
  model,
  prompt,
  n = 1,
  maxImagesPerCall,
  size,
  aspectRatio,
  seed,
  providerOptions,
  maxRetries: maxRetriesArg,
  abortSignal,
  headers
}) {
  var _a17, _b;
  if (model.specificationVersion !== "v2") {
    throw new UnsupportedModelVersionError({
      version: model.specificationVersion,
      provider: model.provider,
      modelId: model.modelId
    });
  }
  const headersWithUserAgent = withUserAgentSuffix5(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const { retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const maxImagesPerCallWithDefault = (_a17 = maxImagesPerCall != null ? maxImagesPerCall : await invokeModelMaxImagesPerCall(model)) != null ? _a17 : 1;
  const callCount = Math.ceil(n / maxImagesPerCallWithDefault);
  const callImageCounts = Array.from({ length: callCount }, (_, i) => {
    if (i < callCount - 1) {
      return maxImagesPerCallWithDefault;
    }
    const remainder = n % maxImagesPerCallWithDefault;
    return remainder === 0 ? maxImagesPerCallWithDefault : remainder;
  });
  const results = await Promise.all(
    callImageCounts.map(
      async (callImageCount) => retry(
        () => model.doGenerate({
          prompt,
          n: callImageCount,
          abortSignal,
          headers: headersWithUserAgent,
          size,
          aspectRatio,
          seed,
          providerOptions: providerOptions != null ? providerOptions : {}
        })
      )
    )
  );
  const images = [];
  const warnings = [];
  const responses = [];
  const providerMetadata = {};
  for (const result of results) {
    images.push(
      ...result.images.map(
        (image) => {
          var _a18;
          return new DefaultGeneratedFile({
            data: image,
            mediaType: (_a18 = detectMediaType({
              data: image,
              signatures: imageMediaTypeSignatures
            })) != null ? _a18 : "image/png"
          });
        }
      )
    );
    warnings.push(...result.warnings);
    if (result.providerMetadata) {
      for (const [providerName, metadata] of Object.entries(result.providerMetadata)) {
        (_b = providerMetadata[providerName]) != null ? _b : providerMetadata[providerName] = { images: [] };
        providerMetadata[providerName].images.push(
          ...result.providerMetadata[providerName].images
        );
      }
    }
    responses.push(result.response);
  }
  logWarnings(warnings);
  if (!images.length) {
    throw new NoImageGeneratedError({ responses });
  }
  return new DefaultGenerateImageResult({
    images,
    warnings,
    responses,
    providerMetadata
  });
}
var DefaultGenerateImageResult = class {
  constructor(options) {
    this.images = options.images;
    this.warnings = options.warnings;
    this.responses = options.responses;
    this.providerMetadata = options.providerMetadata;
  }
  get image() {
    return this.images[0];
  }
};
async function invokeModelMaxImagesPerCall(model) {
  const isFunction = model.maxImagesPerCall instanceof Function;
  if (!isFunction) {
    return model.maxImagesPerCall;
  }
  return model.maxImagesPerCall({
    modelId: model.modelId
  });
}

// src/generate-object/generate-object.ts
import {
  createIdGenerator as createIdGenerator3,
  withUserAgentSuffix as withUserAgentSuffix6
} from "@ai-sdk/provider-utils";

// src/generate-text/extract-reasoning-content.ts
function extractReasoningContent(content) {
  const parts = content.filter(
    (content2) => content2.type === "reasoning"
  );
  return parts.length === 0 ? void 0 : parts.map((content2) => content2.text).join("\n");
}

// src/generate-object/output-strategy.ts
import {
  isJSONArray,
  isJSONObject,
  TypeValidationError as TypeValidationError2,
  UnsupportedFunctionalityError as UnsupportedFunctionalityError2
} from "@ai-sdk/provider";
import {
  asSchema as asSchema3,
  safeValidateTypes as safeValidateTypes3
} from "@ai-sdk/provider-utils";
var noSchemaOutputStrategy = {
  type: "no-schema",
  jsonSchema: void 0,
  async validatePartialResult({ value, textDelta }) {
    return { success: true, value: { partial: value, textDelta } };
  },
  async validateFinalResult(value, context) {
    return value === void 0 ? {
      success: false,
      error: new NoObjectGeneratedError({
        message: "No object generated: response did not match schema.",
        text: context.text,
        response: context.response,
        usage: context.usage,
        finishReason: context.finishReason
      })
    } : { success: true, value };
  },
  createElementStream() {
    throw new UnsupportedFunctionalityError2({
      functionality: "element streams in no-schema mode"
    });
  }
};
var objectOutputStrategy = (schema) => ({
  type: "object",
  jsonSchema: schema.jsonSchema,
  async validatePartialResult({ value, textDelta }) {
    return {
      success: true,
      value: {
        // Note: currently no validation of partial results:
        partial: value,
        textDelta
      }
    };
  },
  async validateFinalResult(value) {
    return safeValidateTypes3({ value, schema });
  },
  createElementStream() {
    throw new UnsupportedFunctionalityError2({
      functionality: "element streams in object mode"
    });
  }
});
var arrayOutputStrategy = (schema) => {
  const { $schema, ...itemSchema } = schema.jsonSchema;
  return {
    type: "enum",
    // wrap in object that contains array of elements, since most LLMs will not
    // be able to generate an array directly:
    // possible future optimization: use arrays directly when model supports grammar-guided generation
    jsonSchema: {
      $schema: "http://json-schema.org/draft-07/schema#",
      type: "object",
      properties: {
        elements: { type: "array", items: itemSchema }
      },
      required: ["elements"],
      additionalProperties: false
    },
    async validatePartialResult({
      value,
      latestObject,
      isFirstDelta,
      isFinalDelta
    }) {
      var _a17;
      if (!isJSONObject(value) || !isJSONArray(value.elements)) {
        return {
          success: false,
          error: new TypeValidationError2({
            value,
            cause: "value must be an object that contains an array of elements"
          })
        };
      }
      const inputArray = value.elements;
      const resultArray = [];
      for (let i = 0; i < inputArray.length; i++) {
        const element = inputArray[i];
        const result = await safeValidateTypes3({ value: element, schema });
        if (i === inputArray.length - 1 && !isFinalDelta) {
          continue;
        }
        if (!result.success) {
          return result;
        }
        resultArray.push(result.value);
      }
      const publishedElementCount = (_a17 = latestObject == null ? void 0 : latestObject.length) != null ? _a17 : 0;
      let textDelta = "";
      if (isFirstDelta) {
        textDelta += "[";
      }
      if (publishedElementCount > 0) {
        textDelta += ",";
      }
      textDelta += resultArray.slice(publishedElementCount).map((element) => JSON.stringify(element)).join(",");
      if (isFinalDelta) {
        textDelta += "]";
      }
      return {
        success: true,
        value: {
          partial: resultArray,
          textDelta
        }
      };
    },
    async validateFinalResult(value) {
      if (!isJSONObject(value) || !isJSONArray(value.elements)) {
        return {
          success: false,
          error: new TypeValidationError2({
            value,
            cause: "value must be an object that contains an array of elements"
          })
        };
      }
      const inputArray = value.elements;
      for (const element of inputArray) {
        const result = await safeValidateTypes3({ value: element, schema });
        if (!result.success) {
          return result;
        }
      }
      return { success: true, value: inputArray };
    },
    createElementStream(originalStream) {
      let publishedElements = 0;
      return createAsyncIterableStream(
        originalStream.pipeThrough(
          new TransformStream({
            transform(chunk, controller) {
              switch (chunk.type) {
                case "object": {
                  const array = chunk.object;
                  for (; publishedElements < array.length; publishedElements++) {
                    controller.enqueue(array[publishedElements]);
                  }
                  break;
                }
                case "text-delta":
                case "finish":
                case "error":
                  break;
                default: {
                  const _exhaustiveCheck = chunk;
                  throw new Error(
                    `Unsupported chunk type: ${_exhaustiveCheck}`
                  );
                }
              }
            }
          })
        )
      );
    }
  };
};
var enumOutputStrategy = (enumValues) => {
  return {
    type: "enum",
    // wrap in object that contains result, since most LLMs will not
    // be able to generate an enum value directly:
    // possible future optimization: use enums directly when model supports top-level enums
    jsonSchema: {
      $schema: "http://json-schema.org/draft-07/schema#",
      type: "object",
      properties: {
        result: { type: "string", enum: enumValues }
      },
      required: ["result"],
      additionalProperties: false
    },
    async validateFinalResult(value) {
      if (!isJSONObject(value) || typeof value.result !== "string") {
        return {
          success: false,
          error: new TypeValidationError2({
            value,
            cause: 'value must be an object that contains a string in the "result" property.'
          })
        };
      }
      const result = value.result;
      return enumValues.includes(result) ? { success: true, value: result } : {
        success: false,
        error: new TypeValidationError2({
          value,
          cause: "value must be a string in the enum"
        })
      };
    },
    async validatePartialResult({ value, textDelta }) {
      if (!isJSONObject(value) || typeof value.result !== "string") {
        return {
          success: false,
          error: new TypeValidationError2({
            value,
            cause: 'value must be an object that contains a string in the "result" property.'
          })
        };
      }
      const result = value.result;
      const possibleEnumValues = enumValues.filter(
        (enumValue) => enumValue.startsWith(result)
      );
      if (value.result.length === 0 || possibleEnumValues.length === 0) {
        return {
          success: false,
          error: new TypeValidationError2({
            value,
            cause: "value must be a string in the enum"
          })
        };
      }
      return {
        success: true,
        value: {
          partial: possibleEnumValues.length > 1 ? result : possibleEnumValues[0],
          textDelta
        }
      };
    },
    createElementStream() {
      throw new UnsupportedFunctionalityError2({
        functionality: "element streams in enum mode"
      });
    }
  };
};
function getOutputStrategy({
  output,
  schema,
  enumValues
}) {
  switch (output) {
    case "object":
      return objectOutputStrategy(asSchema3(schema));
    case "array":
      return arrayOutputStrategy(asSchema3(schema));
    case "enum":
      return enumOutputStrategy(enumValues);
    case "no-schema":
      return noSchemaOutputStrategy;
    default: {
      const _exhaustiveCheck = output;
      throw new Error(`Unsupported output: ${_exhaustiveCheck}`);
    }
  }
}

// src/generate-object/parse-and-validate-object-result.ts
import { JSONParseError as JSONParseError2, TypeValidationError as TypeValidationError3 } from "@ai-sdk/provider";
import { safeParseJSON as safeParseJSON3 } from "@ai-sdk/provider-utils";
async function parseAndValidateObjectResult(result, outputStrategy, context) {
  const parseResult = await safeParseJSON3({ text: result });
  if (!parseResult.success) {
    throw new NoObjectGeneratedError({
      message: "No object generated: could not parse the response.",
      cause: parseResult.error,
      text: result,
      response: context.response,
      usage: context.usage,
      finishReason: context.finishReason
    });
  }
  const validationResult = await outputStrategy.validateFinalResult(
    parseResult.value,
    {
      text: result,
      response: context.response,
      usage: context.usage
    }
  );
  if (!validationResult.success) {
    throw new NoObjectGeneratedError({
      message: "No object generated: response did not match schema.",
      cause: validationResult.error,
      text: result,
      response: context.response,
      usage: context.usage,
      finishReason: context.finishReason
    });
  }
  return validationResult.value;
}
async function parseAndValidateObjectResultWithRepair(result, outputStrategy, repairText, context) {
  try {
    return await parseAndValidateObjectResult(result, outputStrategy, context);
  } catch (error) {
    if (repairText != null && NoObjectGeneratedError.isInstance(error) && (JSONParseError2.isInstance(error.cause) || TypeValidationError3.isInstance(error.cause))) {
      const repairedText = await repairText({
        text: result,
        error: error.cause
      });
      if (repairedText === null) {
        throw error;
      }
      return await parseAndValidateObjectResult(
        repairedText,
        outputStrategy,
        context
      );
    }
    throw error;
  }
}

// src/generate-object/validate-object-generation-input.ts
function validateObjectGenerationInput({
  output,
  schema,
  schemaName,
  schemaDescription,
  enumValues
}) {
  if (output != null && output !== "object" && output !== "array" && output !== "enum" && output !== "no-schema") {
    throw new InvalidArgumentError({
      parameter: "output",
      value: output,
      message: "Invalid output type."
    });
  }
  if (output === "no-schema") {
    if (schema != null) {
      throw new InvalidArgumentError({
        parameter: "schema",
        value: schema,
        message: "Schema is not supported for no-schema output."
      });
    }
    if (schemaDescription != null) {
      throw new InvalidArgumentError({
        parameter: "schemaDescription",
        value: schemaDescription,
        message: "Schema description is not supported for no-schema output."
      });
    }
    if (schemaName != null) {
      throw new InvalidArgumentError({
        parameter: "schemaName",
        value: schemaName,
        message: "Schema name is not supported for no-schema output."
      });
    }
    if (enumValues != null) {
      throw new InvalidArgumentError({
        parameter: "enumValues",
        value: enumValues,
        message: "Enum values are not supported for no-schema output."
      });
    }
  }
  if (output === "object") {
    if (schema == null) {
      throw new InvalidArgumentError({
        parameter: "schema",
        value: schema,
        message: "Schema is required for object output."
      });
    }
    if (enumValues != null) {
      throw new InvalidArgumentError({
        parameter: "enumValues",
        value: enumValues,
        message: "Enum values are not supported for object output."
      });
    }
  }
  if (output === "array") {
    if (schema == null) {
      throw new InvalidArgumentError({
        parameter: "schema",
        value: schema,
        message: "Element schema is required for array output."
      });
    }
    if (enumValues != null) {
      throw new InvalidArgumentError({
        parameter: "enumValues",
        value: enumValues,
        message: "Enum values are not supported for array output."
      });
    }
  }
  if (output === "enum") {
    if (schema != null) {
      throw new InvalidArgumentError({
        parameter: "schema",
        value: schema,
        message: "Schema is not supported for enum output."
      });
    }
    if (schemaDescription != null) {
      throw new InvalidArgumentError({
        parameter: "schemaDescription",
        value: schemaDescription,
        message: "Schema description is not supported for enum output."
      });
    }
    if (schemaName != null) {
      throw new InvalidArgumentError({
        parameter: "schemaName",
        value: schemaName,
        message: "Schema name is not supported for enum output."
      });
    }
    if (enumValues == null) {
      throw new InvalidArgumentError({
        parameter: "enumValues",
        value: enumValues,
        message: "Enum values are required for enum output."
      });
    }
    for (const value of enumValues) {
      if (typeof value !== "string") {
        throw new InvalidArgumentError({
          parameter: "enumValues",
          value,
          message: "Enum values must be strings."
        });
      }
    }
  }
}

// src/generate-object/generate-object.ts
var originalGenerateId3 = createIdGenerator3({ prefix: "aiobj", size: 24 });
async function generateObject(options) {
  const {
    model: modelArg,
    output = "object",
    system,
    prompt,
    messages,
    maxRetries: maxRetriesArg,
    abortSignal,
    headers,
    experimental_repairText: repairText,
    experimental_telemetry: telemetry,
    experimental_download: download2,
    providerOptions,
    _internal: {
      generateId: generateId3 = originalGenerateId3,
      currentDate = () => /* @__PURE__ */ new Date()
    } = {},
    ...settings
  } = options;
  const model = resolveLanguageModel(modelArg);
  const enumValues = "enum" in options ? options.enum : void 0;
  const {
    schema: inputSchema,
    schemaDescription,
    schemaName
  } = "schema" in options ? options : {};
  validateObjectGenerationInput({
    output,
    schema: inputSchema,
    schemaName,
    schemaDescription,
    enumValues
  });
  const { maxRetries, retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const outputStrategy = getOutputStrategy({
    output,
    schema: inputSchema,
    enumValues
  });
  const callSettings = prepareCallSettings(settings);
  const headersWithUserAgent = withUserAgentSuffix6(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const baseTelemetryAttributes = getBaseTelemetryAttributes({
    model,
    telemetry,
    headers: headersWithUserAgent,
    settings: { ...callSettings, maxRetries }
  });
  const tracer = getTracer(telemetry);
  try {
    return await recordSpan({
      name: "ai.generateObject",
      attributes: selectTelemetryAttributes({
        telemetry,
        attributes: {
          ...assembleOperationName({
            operationId: "ai.generateObject",
            telemetry
          }),
          ...baseTelemetryAttributes,
          // specific settings that only make sense on the outer level:
          "ai.prompt": {
            input: () => JSON.stringify({ system, prompt, messages })
          },
          "ai.schema": outputStrategy.jsonSchema != null ? { input: () => JSON.stringify(outputStrategy.jsonSchema) } : void 0,
          "ai.schema.name": schemaName,
          "ai.schema.description": schemaDescription,
          "ai.settings.output": outputStrategy.type
        }
      }),
      tracer,
      fn: async (span) => {
        var _a17;
        let result;
        let finishReason;
        let usage;
        let warnings;
        let response;
        let request;
        let resultProviderMetadata;
        let reasoning;
        const standardizedPrompt = await standardizePrompt({
          system,
          prompt,
          messages
        });
        const promptMessages = await convertToLanguageModelPrompt({
          prompt: standardizedPrompt,
          supportedUrls: await model.supportedUrls,
          download: download2
        });
        const generateResult = await retry(
          () => recordSpan({
            name: "ai.generateObject.doGenerate",
            attributes: selectTelemetryAttributes({
              telemetry,
              attributes: {
                ...assembleOperationName({
                  operationId: "ai.generateObject.doGenerate",
                  telemetry
                }),
                ...baseTelemetryAttributes,
                "ai.prompt.messages": {
                  input: () => stringifyForTelemetry(promptMessages)
                },
                // standardized gen-ai llm span attributes:
                "gen_ai.system": model.provider,
                "gen_ai.request.model": model.modelId,
                "gen_ai.request.frequency_penalty": callSettings.frequencyPenalty,
                "gen_ai.request.max_tokens": callSettings.maxOutputTokens,
                "gen_ai.request.presence_penalty": callSettings.presencePenalty,
                "gen_ai.request.temperature": callSettings.temperature,
                "gen_ai.request.top_k": callSettings.topK,
                "gen_ai.request.top_p": callSettings.topP
              }
            }),
            tracer,
            fn: async (span2) => {
              var _a18, _b, _c, _d, _e, _f, _g, _h;
              const result2 = await model.doGenerate({
                responseFormat: {
                  type: "json",
                  schema: outputStrategy.jsonSchema,
                  name: schemaName,
                  description: schemaDescription
                },
                ...prepareCallSettings(settings),
                prompt: promptMessages,
                providerOptions,
                abortSignal,
                headers: headersWithUserAgent
              });
              const responseData = {
                id: (_b = (_a18 = result2.response) == null ? void 0 : _a18.id) != null ? _b : generateId3(),
                timestamp: (_d = (_c = result2.response) == null ? void 0 : _c.timestamp) != null ? _d : currentDate(),
                modelId: (_f = (_e = result2.response) == null ? void 0 : _e.modelId) != null ? _f : model.modelId,
                headers: (_g = result2.response) == null ? void 0 : _g.headers,
                body: (_h = result2.response) == null ? void 0 : _h.body
              };
              const text2 = extractTextContent(result2.content);
              const reasoning2 = extractReasoningContent(result2.content);
              if (text2 === void 0) {
                throw new NoObjectGeneratedError({
                  message: "No object generated: the model did not return a response.",
                  response: responseData,
                  usage: result2.usage,
                  finishReason: result2.finishReason
                });
              }
              span2.setAttributes(
                selectTelemetryAttributes({
                  telemetry,
                  attributes: {
                    "ai.response.finishReason": result2.finishReason,
                    "ai.response.object": { output: () => text2 },
                    "ai.response.id": responseData.id,
                    "ai.response.model": responseData.modelId,
                    "ai.response.timestamp": responseData.timestamp.toISOString(),
                    "ai.response.providerMetadata": JSON.stringify(
                      result2.providerMetadata
                    ),
                    // TODO rename telemetry attributes to inputTokens and outputTokens
                    "ai.usage.promptTokens": result2.usage.inputTokens,
                    "ai.usage.completionTokens": result2.usage.outputTokens,
                    // standardized gen-ai llm span attributes:
                    "gen_ai.response.finish_reasons": [result2.finishReason],
                    "gen_ai.response.id": responseData.id,
                    "gen_ai.response.model": responseData.modelId,
                    "gen_ai.usage.input_tokens": result2.usage.inputTokens,
                    "gen_ai.usage.output_tokens": result2.usage.outputTokens
                  }
                })
              );
              return {
                ...result2,
                objectText: text2,
                reasoning: reasoning2,
                responseData
              };
            }
          })
        );
        result = generateResult.objectText;
        finishReason = generateResult.finishReason;
        usage = generateResult.usage;
        warnings = generateResult.warnings;
        resultProviderMetadata = generateResult.providerMetadata;
        request = (_a17 = generateResult.request) != null ? _a17 : {};
        response = generateResult.responseData;
        reasoning = generateResult.reasoning;
        logWarnings(warnings);
        const object2 = await parseAndValidateObjectResultWithRepair(
          result,
          outputStrategy,
          repairText,
          {
            response,
            usage,
            finishReason
          }
        );
        span.setAttributes(
          selectTelemetryAttributes({
            telemetry,
            attributes: {
              "ai.response.finishReason": finishReason,
              "ai.response.object": {
                output: () => JSON.stringify(object2)
              },
              "ai.response.providerMetadata": JSON.stringify(
                resultProviderMetadata
              ),
              // TODO rename telemetry attributes to inputTokens and outputTokens
              "ai.usage.promptTokens": usage.inputTokens,
              "ai.usage.completionTokens": usage.outputTokens
            }
          })
        );
        return new DefaultGenerateObjectResult({
          object: object2,
          reasoning,
          finishReason,
          usage,
          warnings,
          request,
          response,
          providerMetadata: resultProviderMetadata
        });
      }
    });
  } catch (error) {
    throw wrapGatewayError(error);
  }
}
var DefaultGenerateObjectResult = class {
  constructor(options) {
    this.object = options.object;
    this.finishReason = options.finishReason;
    this.usage = options.usage;
    this.warnings = options.warnings;
    this.providerMetadata = options.providerMetadata;
    this.response = options.response;
    this.request = options.request;
    this.reasoning = options.reasoning;
  }
  toJsonResponse(init) {
    var _a17;
    return new Response(JSON.stringify(this.object), {
      status: (_a17 = init == null ? void 0 : init.status) != null ? _a17 : 200,
      headers: prepareHeaders(init == null ? void 0 : init.headers, {
        "content-type": "application/json; charset=utf-8"
      })
    });
  }
};

// src/generate-object/stream-object.ts
import {
  createIdGenerator as createIdGenerator4
} from "@ai-sdk/provider-utils";

// src/util/cosine-similarity.ts
function cosineSimilarity(vector1, vector2) {
  if (vector1.length !== vector2.length) {
    throw new InvalidArgumentError({
      parameter: "vector1,vector2",
      value: { vector1Length: vector1.length, vector2Length: vector2.length },
      message: `Vectors must have the same length`
    });
  }
  const n = vector1.length;
  if (n === 0) {
    return 0;
  }
  let magnitudeSquared1 = 0;
  let magnitudeSquared2 = 0;
  let dotProduct = 0;
  for (let i = 0; i < n; i++) {
    const value1 = vector1[i];
    const value2 = vector2[i];
    magnitudeSquared1 += value1 * value1;
    magnitudeSquared2 += value2 * value2;
    dotProduct += value1 * value2;
  }
  return magnitudeSquared1 === 0 || magnitudeSquared2 === 0 ? 0 : dotProduct / (Math.sqrt(magnitudeSquared1) * Math.sqrt(magnitudeSquared2));
}

// src/util/data-url.ts
function getTextFromDataUrl(dataUrl) {
  const [header, base64Content] = dataUrl.split(",");
  const mediaType = header.split(";")[0].split(":")[1];
  if (mediaType == null || base64Content == null) {
    throw new Error("Invalid data URL format");
  }
  try {
    return window.atob(base64Content);
  } catch (error) {
    throw new Error(`Error decoding data URL`);
  }
}

// src/util/is-deep-equal-data.ts
function isDeepEqualData(obj1, obj2) {
  if (obj1 === obj2)
    return true;
  if (obj1 == null || obj2 == null)
    return false;
  if (typeof obj1 !== "object" && typeof obj2 !== "object")
    return obj1 === obj2;
  if (obj1.constructor !== obj2.constructor)
    return false;
  if (obj1 instanceof Date && obj2 instanceof Date) {
    return obj1.getTime() === obj2.getTime();
  }
  if (Array.isArray(obj1)) {
    if (obj1.length !== obj2.length)
      return false;
    for (let i = 0; i < obj1.length; i++) {
      if (!isDeepEqualData(obj1[i], obj2[i]))
        return false;
    }
    return true;
  }
  const keys1 = Object.keys(obj1);
  const keys2 = Object.keys(obj2);
  if (keys1.length !== keys2.length)
    return false;
  for (const key of keys1) {
    if (!keys2.includes(key))
      return false;
    if (!isDeepEqualData(obj1[key], obj2[key]))
      return false;
  }
  return true;
}

// src/util/serial-job-executor.ts
var SerialJobExecutor = class {
  constructor() {
    this.queue = [];
    this.isProcessing = false;
  }
  async processQueue() {
    if (this.isProcessing) {
      return;
    }
    this.isProcessing = true;
    while (this.queue.length > 0) {
      await this.queue[0]();
      this.queue.shift();
    }
    this.isProcessing = false;
  }
  async run(job) {
    return new Promise((resolve2, reject) => {
      this.queue.push(async () => {
        try {
          await job();
          resolve2();
        } catch (error) {
          reject(error);
        }
      });
      void this.processQueue();
    });
  }
};

// src/util/simulate-readable-stream.ts
import { delay as delayFunction } from "@ai-sdk/provider-utils";
function simulateReadableStream({
  chunks,
  initialDelayInMs = 0,
  chunkDelayInMs = 0,
  _internal
}) {
  var _a17;
  const delay2 = (_a17 = _internal == null ? void 0 : _internal.delay) != null ? _a17 : delayFunction;
  let index = 0;
  return new ReadableStream({
    async pull(controller) {
      if (index < chunks.length) {
        await delay2(index === 0 ? initialDelayInMs : chunkDelayInMs);
        controller.enqueue(chunks[index++]);
      } else {
        controller.close();
      }
    }
  });
}

// src/generate-object/stream-object.ts
var originalGenerateId4 = createIdGenerator4({ prefix: "aiobj", size: 24 });
function streamObject(options) {
  const {
    model,
    output = "object",
    system,
    prompt,
    messages,
    maxRetries,
    abortSignal,
    headers,
    experimental_repairText: repairText,
    experimental_telemetry: telemetry,
    experimental_download: download2,
    providerOptions,
    onError = ({ error }) => {
      console.error(error);
    },
    onFinish,
    _internal: {
      generateId: generateId3 = originalGenerateId4,
      currentDate = () => /* @__PURE__ */ new Date(),
      now: now2 = now
    } = {},
    ...settings
  } = options;
  const enumValues = "enum" in options && options.enum ? options.enum : void 0;
  const {
    schema: inputSchema,
    schemaDescription,
    schemaName
  } = "schema" in options ? options : {};
  validateObjectGenerationInput({
    output,
    schema: inputSchema,
    schemaName,
    schemaDescription,
    enumValues
  });
  const outputStrategy = getOutputStrategy({
    output,
    schema: inputSchema,
    enumValues
  });
  return new DefaultStreamObjectResult({
    model,
    telemetry,
    headers,
    settings,
    maxRetries,
    abortSignal,
    outputStrategy,
    system,
    prompt,
    messages,
    schemaName,
    schemaDescription,
    providerOptions,
    repairText,
    onError,
    onFinish,
    download: download2,
    generateId: generateId3,
    currentDate,
    now: now2
  });
}
var DefaultStreamObjectResult = class {
  constructor({
    model: modelArg,
    headers,
    telemetry,
    settings,
    maxRetries: maxRetriesArg,
    abortSignal,
    outputStrategy,
    system,
    prompt,
    messages,
    schemaName,
    schemaDescription,
    providerOptions,
    repairText,
    onError,
    onFinish,
    download: download2,
    generateId: generateId3,
    currentDate,
    now: now2
  }) {
    this._object = new DelayedPromise();
    this._usage = new DelayedPromise();
    this._providerMetadata = new DelayedPromise();
    this._warnings = new DelayedPromise();
    this._request = new DelayedPromise();
    this._response = new DelayedPromise();
    this._finishReason = new DelayedPromise();
    const model = resolveLanguageModel(modelArg);
    const { maxRetries, retry } = prepareRetries({
      maxRetries: maxRetriesArg,
      abortSignal
    });
    const callSettings = prepareCallSettings(settings);
    const baseTelemetryAttributes = getBaseTelemetryAttributes({
      model,
      telemetry,
      headers,
      settings: { ...callSettings, maxRetries }
    });
    const tracer = getTracer(telemetry);
    const self = this;
    const stitchableStream = createStitchableStream();
    const eventProcessor = new TransformStream({
      transform(chunk, controller) {
        controller.enqueue(chunk);
        if (chunk.type === "error") {
          onError({ error: wrapGatewayError(chunk.error) });
        }
      }
    });
    this.baseStream = stitchableStream.stream.pipeThrough(eventProcessor);
    recordSpan({
      name: "ai.streamObject",
      attributes: selectTelemetryAttributes({
        telemetry,
        attributes: {
          ...assembleOperationName({
            operationId: "ai.streamObject",
            telemetry
          }),
          ...baseTelemetryAttributes,
          // specific settings that only make sense on the outer level:
          "ai.prompt": {
            input: () => JSON.stringify({ system, prompt, messages })
          },
          "ai.schema": outputStrategy.jsonSchema != null ? { input: () => JSON.stringify(outputStrategy.jsonSchema) } : void 0,
          "ai.schema.name": schemaName,
          "ai.schema.description": schemaDescription,
          "ai.settings.output": outputStrategy.type
        }
      }),
      tracer,
      endWhenDone: false,
      fn: async (rootSpan) => {
        const standardizedPrompt = await standardizePrompt({
          system,
          prompt,
          messages
        });
        const callOptions = {
          responseFormat: {
            type: "json",
            schema: outputStrategy.jsonSchema,
            name: schemaName,
            description: schemaDescription
          },
          ...prepareCallSettings(settings),
          prompt: await convertToLanguageModelPrompt({
            prompt: standardizedPrompt,
            supportedUrls: await model.supportedUrls,
            download: download2
          }),
          providerOptions,
          abortSignal,
          headers,
          includeRawChunks: false
        };
        const transformer = {
          transform: (chunk, controller) => {
            switch (chunk.type) {
              case "text-delta":
                controller.enqueue(chunk.delta);
                break;
              case "response-metadata":
              case "finish":
              case "error":
              case "stream-start":
                controller.enqueue(chunk);
                break;
            }
          }
        };
        const {
          result: { stream, response, request },
          doStreamSpan,
          startTimestampMs
        } = await retry(
          () => recordSpan({
            name: "ai.streamObject.doStream",
            attributes: selectTelemetryAttributes({
              telemetry,
              attributes: {
                ...assembleOperationName({
                  operationId: "ai.streamObject.doStream",
                  telemetry
                }),
                ...baseTelemetryAttributes,
                "ai.prompt.messages": {
                  input: () => stringifyForTelemetry(callOptions.prompt)
                },
                // standardized gen-ai llm span attributes:
                "gen_ai.system": model.provider,
                "gen_ai.request.model": model.modelId,
                "gen_ai.request.frequency_penalty": callSettings.frequencyPenalty,
                "gen_ai.request.max_tokens": callSettings.maxOutputTokens,
                "gen_ai.request.presence_penalty": callSettings.presencePenalty,
                "gen_ai.request.temperature": callSettings.temperature,
                "gen_ai.request.top_k": callSettings.topK,
                "gen_ai.request.top_p": callSettings.topP
              }
            }),
            tracer,
            endWhenDone: false,
            fn: async (doStreamSpan2) => ({
              startTimestampMs: now2(),
              doStreamSpan: doStreamSpan2,
              result: await model.doStream(callOptions)
            })
          })
        );
        self._request.resolve(request != null ? request : {});
        let warnings;
        let usage = {
          inputTokens: void 0,
          outputTokens: void 0,
          totalTokens: void 0
        };
        let finishReason;
        let providerMetadata;
        let object2;
        let error;
        let accumulatedText = "";
        let textDelta = "";
        let fullResponse = {
          id: generateId3(),
          timestamp: currentDate(),
          modelId: model.modelId
        };
        let latestObjectJson = void 0;
        let latestObject = void 0;
        let isFirstChunk = true;
        let isFirstDelta = true;
        const transformedStream = stream.pipeThrough(new TransformStream(transformer)).pipeThrough(
          new TransformStream({
            async transform(chunk, controller) {
              var _a17, _b, _c;
              if (typeof chunk === "object" && chunk.type === "stream-start") {
                warnings = chunk.warnings;
                return;
              }
              if (isFirstChunk) {
                const msToFirstChunk = now2() - startTimestampMs;
                isFirstChunk = false;
                doStreamSpan.addEvent("ai.stream.firstChunk", {
                  "ai.stream.msToFirstChunk": msToFirstChunk
                });
                doStreamSpan.setAttributes({
                  "ai.stream.msToFirstChunk": msToFirstChunk
                });
              }
              if (typeof chunk === "string") {
                accumulatedText += chunk;
                textDelta += chunk;
                const { value: currentObjectJson, state: parseState } = await parsePartialJson(accumulatedText);
                if (currentObjectJson !== void 0 && !isDeepEqualData(latestObjectJson, currentObjectJson)) {
                  const validationResult = await outputStrategy.validatePartialResult({
                    value: currentObjectJson,
                    textDelta,
                    latestObject,
                    isFirstDelta,
                    isFinalDelta: parseState === "successful-parse"
                  });
                  if (validationResult.success && !isDeepEqualData(
                    latestObject,
                    validationResult.value.partial
                  )) {
                    latestObjectJson = currentObjectJson;
                    latestObject = validationResult.value.partial;
                    controller.enqueue({
                      type: "object",
                      object: latestObject
                    });
                    controller.enqueue({
                      type: "text-delta",
                      textDelta: validationResult.value.textDelta
                    });
                    textDelta = "";
                    isFirstDelta = false;
                  }
                }
                return;
              }
              switch (chunk.type) {
                case "response-metadata": {
                  fullResponse = {
                    id: (_a17 = chunk.id) != null ? _a17 : fullResponse.id,
                    timestamp: (_b = chunk.timestamp) != null ? _b : fullResponse.timestamp,
                    modelId: (_c = chunk.modelId) != null ? _c : fullResponse.modelId
                  };
                  break;
                }
                case "finish": {
                  if (textDelta !== "") {
                    controller.enqueue({ type: "text-delta", textDelta });
                  }
                  finishReason = chunk.finishReason;
                  usage = chunk.usage;
                  providerMetadata = chunk.providerMetadata;
                  controller.enqueue({
                    ...chunk,
                    usage,
                    response: fullResponse
                  });
                  logWarnings(warnings != null ? warnings : []);
                  self._usage.resolve(usage);
                  self._providerMetadata.resolve(providerMetadata);
                  self._warnings.resolve(warnings);
                  self._response.resolve({
                    ...fullResponse,
                    headers: response == null ? void 0 : response.headers
                  });
                  self._finishReason.resolve(finishReason != null ? finishReason : "unknown");
                  try {
                    object2 = await parseAndValidateObjectResultWithRepair(
                      accumulatedText,
                      outputStrategy,
                      repairText,
                      {
                        response: fullResponse,
                        usage,
                        finishReason
                      }
                    );
                    self._object.resolve(object2);
                  } catch (e) {
                    error = e;
                    self._object.reject(e);
                  }
                  break;
                }
                default: {
                  controller.enqueue(chunk);
                  break;
                }
              }
            },
            // invoke onFinish callback and resolve toolResults promise when the stream is about to close:
            async flush(controller) {
              try {
                const finalUsage = usage != null ? usage : {
                  promptTokens: NaN,
                  completionTokens: NaN,
                  totalTokens: NaN
                };
                doStreamSpan.setAttributes(
                  selectTelemetryAttributes({
                    telemetry,
                    attributes: {
                      "ai.response.finishReason": finishReason,
                      "ai.response.object": {
                        output: () => JSON.stringify(object2)
                      },
                      "ai.response.id": fullResponse.id,
                      "ai.response.model": fullResponse.modelId,
                      "ai.response.timestamp": fullResponse.timestamp.toISOString(),
                      "ai.response.providerMetadata": JSON.stringify(providerMetadata),
                      "ai.usage.inputTokens": finalUsage.inputTokens,
                      "ai.usage.outputTokens": finalUsage.outputTokens,
                      "ai.usage.totalTokens": finalUsage.totalTokens,
                      "ai.usage.reasoningTokens": finalUsage.reasoningTokens,
                      "ai.usage.cachedInputTokens": finalUsage.cachedInputTokens,
                      // standardized gen-ai llm span attributes:
                      "gen_ai.response.finish_reasons": [finishReason],
                      "gen_ai.response.id": fullResponse.id,
                      "gen_ai.response.model": fullResponse.modelId,
                      "gen_ai.usage.input_tokens": finalUsage.inputTokens,
                      "gen_ai.usage.output_tokens": finalUsage.outputTokens
                    }
                  })
                );
                doStreamSpan.end();
                rootSpan.setAttributes(
                  selectTelemetryAttributes({
                    telemetry,
                    attributes: {
                      "ai.usage.inputTokens": finalUsage.inputTokens,
                      "ai.usage.outputTokens": finalUsage.outputTokens,
                      "ai.usage.totalTokens": finalUsage.totalTokens,
                      "ai.usage.reasoningTokens": finalUsage.reasoningTokens,
                      "ai.usage.cachedInputTokens": finalUsage.cachedInputTokens,
                      "ai.response.object": {
                        output: () => JSON.stringify(object2)
                      },
                      "ai.response.providerMetadata": JSON.stringify(providerMetadata)
                    }
                  })
                );
                await (onFinish == null ? void 0 : onFinish({
                  usage: finalUsage,
                  object: object2,
                  error,
                  response: {
                    ...fullResponse,
                    headers: response == null ? void 0 : response.headers
                  },
                  warnings,
                  providerMetadata
                }));
              } catch (error2) {
                controller.enqueue({ type: "error", error: error2 });
              } finally {
                rootSpan.end();
              }
            }
          })
        );
        stitchableStream.addStream(transformedStream);
      }
    }).catch((error) => {
      stitchableStream.addStream(
        new ReadableStream({
          start(controller) {
            controller.enqueue({ type: "error", error });
            controller.close();
          }
        })
      );
    }).finally(() => {
      stitchableStream.close();
    });
    this.outputStrategy = outputStrategy;
  }
  get object() {
    return this._object.promise;
  }
  get usage() {
    return this._usage.promise;
  }
  get providerMetadata() {
    return this._providerMetadata.promise;
  }
  get warnings() {
    return this._warnings.promise;
  }
  get request() {
    return this._request.promise;
  }
  get response() {
    return this._response.promise;
  }
  get finishReason() {
    return this._finishReason.promise;
  }
  get partialObjectStream() {
    return createAsyncIterableStream(
      this.baseStream.pipeThrough(
        new TransformStream({
          transform(chunk, controller) {
            switch (chunk.type) {
              case "object":
                controller.enqueue(chunk.object);
                break;
              case "text-delta":
              case "finish":
              case "error":
                break;
              default: {
                const _exhaustiveCheck = chunk;
                throw new Error(`Unsupported chunk type: ${_exhaustiveCheck}`);
              }
            }
          }
        })
      )
    );
  }
  get elementStream() {
    return this.outputStrategy.createElementStream(this.baseStream);
  }
  get textStream() {
    return createAsyncIterableStream(
      this.baseStream.pipeThrough(
        new TransformStream({
          transform(chunk, controller) {
            switch (chunk.type) {
              case "text-delta":
                controller.enqueue(chunk.textDelta);
                break;
              case "object":
              case "finish":
              case "error":
                break;
              default: {
                const _exhaustiveCheck = chunk;
                throw new Error(`Unsupported chunk type: ${_exhaustiveCheck}`);
              }
            }
          }
        })
      )
    );
  }
  get fullStream() {
    return createAsyncIterableStream(this.baseStream);
  }
  pipeTextStreamToResponse(response, init) {
    pipeTextStreamToResponse({
      response,
      textStream: this.textStream,
      ...init
    });
  }
  toTextStreamResponse(init) {
    return createTextStreamResponse({
      textStream: this.textStream,
      ...init
    });
  }
};

// src/generate-speech/generate-speech.ts
import { withUserAgentSuffix as withUserAgentSuffix7 } from "@ai-sdk/provider-utils";

// src/generate-speech/generated-audio-file.ts
var DefaultGeneratedAudioFile = class extends DefaultGeneratedFile {
  constructor({
    data,
    mediaType
  }) {
    super({ data, mediaType });
    let format = "mp3";
    if (mediaType) {
      const mediaTypeParts = mediaType.split("/");
      if (mediaTypeParts.length === 2) {
        if (mediaType !== "audio/mpeg") {
          format = mediaTypeParts[1];
        }
      }
    }
    if (!format) {
      throw new Error(
        "Audio format must be provided or determinable from media type"
      );
    }
    this.format = format;
  }
};

// src/generate-speech/generate-speech.ts
async function generateSpeech({
  model,
  text: text2,
  voice,
  outputFormat,
  instructions,
  speed,
  language,
  providerOptions = {},
  maxRetries: maxRetriesArg,
  abortSignal,
  headers
}) {
  var _a17;
  if (model.specificationVersion !== "v2") {
    throw new UnsupportedModelVersionError({
      version: model.specificationVersion,
      provider: model.provider,
      modelId: model.modelId
    });
  }
  const headersWithUserAgent = withUserAgentSuffix7(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const { retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const result = await retry(
    () => model.doGenerate({
      text: text2,
      voice,
      outputFormat,
      instructions,
      speed,
      language,
      abortSignal,
      headers: headersWithUserAgent,
      providerOptions
    })
  );
  if (!result.audio || result.audio.length === 0) {
    throw new NoSpeechGeneratedError({ responses: [result.response] });
  }
  logWarnings(result.warnings);
  return new DefaultSpeechResult({
    audio: new DefaultGeneratedAudioFile({
      data: result.audio,
      mediaType: (_a17 = detectMediaType({
        data: result.audio,
        signatures: audioMediaTypeSignatures
      })) != null ? _a17 : "audio/mp3"
    }),
    warnings: result.warnings,
    responses: [result.response],
    providerMetadata: result.providerMetadata
  });
}
var DefaultSpeechResult = class {
  constructor(options) {
    var _a17;
    this.audio = options.audio;
    this.warnings = options.warnings;
    this.responses = options.responses;
    this.providerMetadata = (_a17 = options.providerMetadata) != null ? _a17 : {};
  }
};

// src/generate-text/output.ts
var output_exports = {};
__export(output_exports, {
  object: () => object,
  text: () => text
});
import {
  asSchema as asSchema4,
  safeParseJSON as safeParseJSON4,
  safeValidateTypes as safeValidateTypes4
} from "@ai-sdk/provider-utils";
var text = () => ({
  type: "text",
  responseFormat: { type: "text" },
  async parsePartial({ text: text2 }) {
    return { partial: text2 };
  },
  async parseOutput({ text: text2 }) {
    return text2;
  }
});
var object = ({
  schema: inputSchema
}) => {
  const schema = asSchema4(inputSchema);
  return {
    type: "object",
    responseFormat: {
      type: "json",
      schema: schema.jsonSchema
    },
    async parsePartial({ text: text2 }) {
      const result = await parsePartialJson(text2);
      switch (result.state) {
        case "failed-parse":
        case "undefined-input":
          return void 0;
        case "repaired-parse":
        case "successful-parse":
          return {
            // Note: currently no validation of partial results:
            partial: result.value
          };
        default: {
          const _exhaustiveCheck = result.state;
          throw new Error(`Unsupported parse state: ${_exhaustiveCheck}`);
        }
      }
    },
    async parseOutput({ text: text2 }, context) {
      const parseResult = await safeParseJSON4({ text: text2 });
      if (!parseResult.success) {
        throw new NoObjectGeneratedError({
          message: "No object generated: could not parse the response.",
          cause: parseResult.error,
          text: text2,
          response: context.response,
          usage: context.usage,
          finishReason: context.finishReason
        });
      }
      const validationResult = await safeValidateTypes4({
        value: parseResult.value,
        schema
      });
      if (!validationResult.success) {
        throw new NoObjectGeneratedError({
          message: "No object generated: response did not match schema.",
          cause: validationResult.error,
          text: text2,
          response: context.response,
          usage: context.usage,
          finishReason: context.finishReason
        });
      }
      return validationResult.value;
    }
  };
};

// src/generate-text/prune-messages.ts
function pruneMessages({
  messages,
  reasoning = "none",
  toolCalls = [],
  emptyMessages = "remove"
}) {
  if (reasoning === "all" || reasoning === "before-last-message") {
    messages = messages.map((message, messageIndex) => {
      if (message.role !== "assistant" || typeof message.content === "string" || reasoning === "before-last-message" && messageIndex === messages.length - 1) {
        return message;
      }
      return {
        ...message,
        content: message.content.filter((part) => part.type !== "reasoning")
      };
    });
  }
  if (toolCalls === "none") {
    toolCalls = [];
  } else if (toolCalls === "all") {
    toolCalls = [{ type: "all" }];
  } else if (toolCalls === "before-last-message") {
    toolCalls = [{ type: "before-last-message" }];
  } else if (typeof toolCalls === "string") {
    toolCalls = [{ type: toolCalls }];
  }
  for (const toolCall of toolCalls) {
    const keepLastMessagesCount = toolCall.type === "all" ? void 0 : toolCall.type === "before-last-message" ? 1 : Number(
      toolCall.type.slice("before-last-".length).slice(0, -"-messages".length)
    );
    const keptToolCallIds = /* @__PURE__ */ new Set();
    const keptApprovalIds = /* @__PURE__ */ new Set();
    if (keepLastMessagesCount != null) {
      for (const message of messages.slice(0, -keepLastMessagesCount)) {
        if ((message.role === "assistant" || message.role === "tool") && typeof message.content !== "string") {
          for (const part of message.content) {
            if (part.type === "tool-call" || part.type === "tool-result") {
              keptToolCallIds.add(part.toolCallId);
            }
          }
        }
      }
    }
    messages = messages.map((message, messageIndex) => {
      if (message.role !== "assistant" && message.role !== "tool" || typeof message.content === "string" || keepLastMessagesCount && messageIndex >= messages.length - keepLastMessagesCount) {
        return message;
      }
      const toolCallIdToToolName = {};
      return {
        ...message,
        content: message.content.filter((part) => {
          if (part.type !== "tool-call" && part.type !== "tool-result") {
            return true;
          }
          if (part.type === "tool-call") {
            toolCallIdToToolName[part.toolCallId] = part.toolName;
          }
          if ((part.type === "tool-call" || part.type === "tool-result") && keptToolCallIds.has(part.toolCallId)) {
            return true;
          }
          return toolCall.tools != null && !toolCall.tools.includes(part.toolName);
        })
      };
    });
  }
  if (emptyMessages === "remove") {
    messages = messages.filter((message) => message.content.length > 0);
  }
  return messages;
}

// src/generate-text/smooth-stream.ts
import { delay as originalDelay } from "@ai-sdk/provider-utils";
import { InvalidArgumentError as InvalidArgumentError2 } from "@ai-sdk/provider";
var CHUNKING_REGEXPS = {
  word: /\S+\s+/m,
  line: /\n+/m
};
function smoothStream({
  delayInMs = 10,
  chunking = "word",
  _internal: { delay: delay2 = originalDelay } = {}
} = {}) {
  let detectChunk;
  if (typeof chunking === "function") {
    detectChunk = (buffer) => {
      const match = chunking(buffer);
      if (match == null) {
        return null;
      }
      if (!match.length) {
        throw new Error(`Chunking function must return a non-empty string.`);
      }
      if (!buffer.startsWith(match)) {
        throw new Error(
          `Chunking function must return a match that is a prefix of the buffer. Received: "${match}" expected to start with "${buffer}"`
        );
      }
      return match;
    };
  } else {
    const chunkingRegex = typeof chunking === "string" ? CHUNKING_REGEXPS[chunking] : chunking;
    if (chunkingRegex == null) {
      throw new InvalidArgumentError2({
        argument: "chunking",
        message: `Chunking must be "word" or "line" or a RegExp. Received: ${chunking}`
      });
    }
    detectChunk = (buffer) => {
      const match = chunkingRegex.exec(buffer);
      if (!match) {
        return null;
      }
      return buffer.slice(0, match.index) + (match == null ? void 0 : match[0]);
    };
  }
  return () => {
    let buffer = "";
    let id = "";
    return new TransformStream({
      async transform(chunk, controller) {
        if (chunk.type !== "text-delta") {
          if (buffer.length > 0) {
            controller.enqueue({ type: "text-delta", text: buffer, id });
            buffer = "";
          }
          controller.enqueue(chunk);
          return;
        }
        if (chunk.id !== id && buffer.length > 0) {
          controller.enqueue({ type: "text-delta", text: buffer, id });
          buffer = "";
        }
        buffer += chunk.text;
        id = chunk.id;
        let match;
        while ((match = detectChunk(buffer)) != null) {
          controller.enqueue({ type: "text-delta", text: match, id });
          buffer = buffer.slice(match.length);
          await delay2(delayInMs);
        }
      }
    });
  };
}

// src/middleware/default-settings-middleware.ts
function defaultSettingsMiddleware({
  settings
}) {
  return {
    middlewareVersion: "v2",
    transformParams: async ({ params }) => {
      return mergeObjects(settings, params);
    }
  };
}

// src/util/get-potential-start-index.ts
function getPotentialStartIndex(text2, searchedText) {
  if (searchedText.length === 0) {
    return null;
  }
  const directIndex = text2.indexOf(searchedText);
  if (directIndex !== -1) {
    return directIndex;
  }
  for (let i = text2.length - 1; i >= 0; i--) {
    const suffix = text2.substring(i);
    if (searchedText.startsWith(suffix)) {
      return i;
    }
  }
  return null;
}

// src/middleware/extract-reasoning-middleware.ts
function extractReasoningMiddleware({
  tagName,
  separator = "\n",
  startWithReasoning = false
}) {
  const openingTag = `<${tagName}>`;
  const closingTag = `</${tagName}>`;
  return {
    middlewareVersion: "v2",
    wrapGenerate: async ({ doGenerate }) => {
      const { content, ...rest } = await doGenerate();
      const transformedContent = [];
      for (const part of content) {
        if (part.type !== "text") {
          transformedContent.push(part);
          continue;
        }
        const text2 = startWithReasoning ? openingTag + part.text : part.text;
        const regexp = new RegExp(`${openingTag}(.*?)${closingTag}`, "gs");
        const matches = Array.from(text2.matchAll(regexp));
        if (!matches.length) {
          transformedContent.push(part);
          continue;
        }
        const reasoningText = matches.map((match) => match[1]).join(separator);
        let textWithoutReasoning = text2;
        for (let i = matches.length - 1; i >= 0; i--) {
          const match = matches[i];
          const beforeMatch = textWithoutReasoning.slice(0, match.index);
          const afterMatch = textWithoutReasoning.slice(
            match.index + match[0].length
          );
          textWithoutReasoning = beforeMatch + (beforeMatch.length > 0 && afterMatch.length > 0 ? separator : "") + afterMatch;
        }
        transformedContent.push({
          type: "reasoning",
          text: reasoningText
        });
        transformedContent.push({
          type: "text",
          text: textWithoutReasoning
        });
      }
      return { content: transformedContent, ...rest };
    },
    wrapStream: async ({ doStream }) => {
      const { stream, ...rest } = await doStream();
      const reasoningExtractions = {};
      let delayedTextStart;
      return {
        stream: stream.pipeThrough(
          new TransformStream({
            transform: (chunk, controller) => {
              if (chunk.type === "text-start") {
                delayedTextStart = chunk;
                return;
              }
              if (chunk.type === "text-end" && delayedTextStart) {
                controller.enqueue(delayedTextStart);
                delayedTextStart = void 0;
              }
              if (chunk.type !== "text-delta") {
                controller.enqueue(chunk);
                return;
              }
              if (reasoningExtractions[chunk.id] == null) {
                reasoningExtractions[chunk.id] = {
                  isFirstReasoning: true,
                  isFirstText: true,
                  afterSwitch: false,
                  isReasoning: startWithReasoning,
                  buffer: "",
                  idCounter: 0,
                  textId: chunk.id
                };
              }
              const activeExtraction = reasoningExtractions[chunk.id];
              activeExtraction.buffer += chunk.delta;
              function publish(text2) {
                if (text2.length > 0) {
                  const prefix = activeExtraction.afterSwitch && (activeExtraction.isReasoning ? !activeExtraction.isFirstReasoning : !activeExtraction.isFirstText) ? separator : "";
                  if (activeExtraction.isReasoning && (activeExtraction.afterSwitch || activeExtraction.isFirstReasoning)) {
                    controller.enqueue({
                      type: "reasoning-start",
                      id: `reasoning-${activeExtraction.idCounter}`
                    });
                  }
                  if (activeExtraction.isReasoning) {
                    controller.enqueue({
                      type: "reasoning-delta",
                      delta: prefix + text2,
                      id: `reasoning-${activeExtraction.idCounter}`
                    });
                  } else {
                    if (delayedTextStart) {
                      controller.enqueue(delayedTextStart);
                      delayedTextStart = void 0;
                    }
                    controller.enqueue({
                      type: "text-delta",
                      delta: prefix + text2,
                      id: activeExtraction.textId
                    });
                  }
                  activeExtraction.afterSwitch = false;
                  if (activeExtraction.isReasoning) {
                    activeExtraction.isFirstReasoning = false;
                  } else {
                    activeExtraction.isFirstText = false;
                  }
                }
              }
              do {
                const nextTag = activeExtraction.isReasoning ? closingTag : openingTag;
                const startIndex = getPotentialStartIndex(
                  activeExtraction.buffer,
                  nextTag
                );
                if (startIndex == null) {
                  publish(activeExtraction.buffer);
                  activeExtraction.buffer = "";
                  break;
                }
                publish(activeExtraction.buffer.slice(0, startIndex));
                const foundFullMatch = startIndex + nextTag.length <= activeExtraction.buffer.length;
                if (foundFullMatch) {
                  activeExtraction.buffer = activeExtraction.buffer.slice(
                    startIndex + nextTag.length
                  );
                  if (activeExtraction.isReasoning) {
                    controller.enqueue({
                      type: "reasoning-end",
                      id: `reasoning-${activeExtraction.idCounter++}`
                    });
                  }
                  activeExtraction.isReasoning = !activeExtraction.isReasoning;
                  activeExtraction.afterSwitch = true;
                } else {
                  activeExtraction.buffer = activeExtraction.buffer.slice(startIndex);
                  break;
                }
              } while (true);
            }
          })
        ),
        ...rest
      };
    }
  };
}

// src/middleware/simulate-streaming-middleware.ts
function simulateStreamingMiddleware() {
  return {
    middlewareVersion: "v2",
    wrapStream: async ({ doGenerate }) => {
      const result = await doGenerate();
      let id = 0;
      const simulatedStream = new ReadableStream({
        start(controller) {
          controller.enqueue({
            type: "stream-start",
            warnings: result.warnings
          });
          controller.enqueue({ type: "response-metadata", ...result.response });
          for (const part of result.content) {
            switch (part.type) {
              case "text": {
                if (part.text.length > 0) {
                  controller.enqueue({ type: "text-start", id: String(id) });
                  controller.enqueue({
                    type: "text-delta",
                    id: String(id),
                    delta: part.text
                  });
                  controller.enqueue({ type: "text-end", id: String(id) });
                  id++;
                }
                break;
              }
              case "reasoning": {
                controller.enqueue({
                  type: "reasoning-start",
                  id: String(id),
                  providerMetadata: part.providerMetadata
                });
                controller.enqueue({
                  type: "reasoning-delta",
                  id: String(id),
                  delta: part.text
                });
                controller.enqueue({ type: "reasoning-end", id: String(id) });
                id++;
                break;
              }
              default: {
                controller.enqueue(part);
                break;
              }
            }
          }
          controller.enqueue({
            type: "finish",
            finishReason: result.finishReason,
            usage: result.usage,
            providerMetadata: result.providerMetadata
          });
          controller.close();
        }
      });
      return {
        stream: simulatedStream,
        request: result.request,
        response: result.response
      };
    }
  };
}

// src/middleware/wrap-language-model.ts
var wrapLanguageModel = ({
  model,
  middleware: middlewareArg,
  modelId,
  providerId
}) => {
  return asArray(middlewareArg).reverse().reduce((wrappedModel, middleware) => {
    return doWrap({ model: wrappedModel, middleware, modelId, providerId });
  }, model);
};
var doWrap = ({
  model,
  middleware: {
    transformParams,
    wrapGenerate,
    wrapStream,
    overrideProvider,
    overrideModelId,
    overrideSupportedUrls
  },
  modelId,
  providerId
}) => {
  var _a17, _b, _c;
  async function doTransform({
    params,
    type
  }) {
    return transformParams ? await transformParams({ params, type, model }) : params;
  }
  return {
    specificationVersion: "v2",
    provider: (_a17 = providerId != null ? providerId : overrideProvider == null ? void 0 : overrideProvider({ model })) != null ? _a17 : model.provider,
    modelId: (_b = modelId != null ? modelId : overrideModelId == null ? void 0 : overrideModelId({ model })) != null ? _b : model.modelId,
    supportedUrls: (_c = overrideSupportedUrls == null ? void 0 : overrideSupportedUrls({ model })) != null ? _c : model.supportedUrls,
    async doGenerate(params) {
      const transformedParams = await doTransform({ params, type: "generate" });
      const doGenerate = async () => model.doGenerate(transformedParams);
      const doStream = async () => model.doStream(transformedParams);
      return wrapGenerate ? wrapGenerate({
        doGenerate,
        doStream,
        params: transformedParams,
        model
      }) : doGenerate();
    },
    async doStream(params) {
      const transformedParams = await doTransform({ params, type: "stream" });
      const doGenerate = async () => model.doGenerate(transformedParams);
      const doStream = async () => model.doStream(transformedParams);
      return wrapStream ? wrapStream({ doGenerate, doStream, params: transformedParams, model }) : doStream();
    }
  };
};

// src/middleware/wrap-provider.ts
function wrapProvider({
  provider,
  languageModelMiddleware
}) {
  const wrappedProvider = {
    languageModel(modelId) {
      let model = provider.languageModel(modelId);
      model = wrapLanguageModel({
        model,
        middleware: languageModelMiddleware
      });
      return model;
    },
    textEmbeddingModel: provider.textEmbeddingModel,
    imageModel: provider.imageModel,
    transcriptionModel: provider.transcriptionModel,
    speechModel: provider.speechModel
  };
  return wrappedProvider;
}

// src/registry/custom-provider.ts
import {
  NoSuchModelError as NoSuchModelError2
} from "@ai-sdk/provider";
function customProvider({
  languageModels,
  textEmbeddingModels,
  imageModels,
  transcriptionModels,
  speechModels,
  fallbackProvider
}) {
  return {
    languageModel(modelId) {
      if (languageModels != null && modelId in languageModels) {
        return languageModels[modelId];
      }
      if (fallbackProvider) {
        return fallbackProvider.languageModel(modelId);
      }
      throw new NoSuchModelError2({ modelId, modelType: "languageModel" });
    },
    textEmbeddingModel(modelId) {
      if (textEmbeddingModels != null && modelId in textEmbeddingModels) {
        return textEmbeddingModels[modelId];
      }
      if (fallbackProvider) {
        return fallbackProvider.textEmbeddingModel(modelId);
      }
      throw new NoSuchModelError2({ modelId, modelType: "textEmbeddingModel" });
    },
    imageModel(modelId) {
      if (imageModels != null && modelId in imageModels) {
        return imageModels[modelId];
      }
      if (fallbackProvider == null ? void 0 : fallbackProvider.imageModel) {
        return fallbackProvider.imageModel(modelId);
      }
      throw new NoSuchModelError2({ modelId, modelType: "imageModel" });
    },
    transcriptionModel(modelId) {
      if (transcriptionModels != null && modelId in transcriptionModels) {
        return transcriptionModels[modelId];
      }
      if (fallbackProvider == null ? void 0 : fallbackProvider.transcriptionModel) {
        return fallbackProvider.transcriptionModel(modelId);
      }
      throw new NoSuchModelError2({ modelId, modelType: "transcriptionModel" });
    },
    speechModel(modelId) {
      if (speechModels != null && modelId in speechModels) {
        return speechModels[modelId];
      }
      if (fallbackProvider == null ? void 0 : fallbackProvider.speechModel) {
        return fallbackProvider.speechModel(modelId);
      }
      throw new NoSuchModelError2({ modelId, modelType: "speechModel" });
    }
  };
}
var experimental_customProvider = customProvider;

// src/registry/no-such-provider-error.ts
import { AISDKError as AISDKError21, NoSuchModelError as NoSuchModelError3 } from "@ai-sdk/provider";
var name16 = "AI_NoSuchProviderError";
var marker16 = `vercel.ai.error.${name16}`;
var symbol16 = Symbol.for(marker16);
var _a16;
var NoSuchProviderError = class extends NoSuchModelError3 {
  constructor({
    modelId,
    modelType,
    providerId,
    availableProviders,
    message = `No such provider: ${providerId} (available providers: ${availableProviders.join()})`
  }) {
    super({ errorName: name16, modelId, modelType, message });
    this[_a16] = true;
    this.providerId = providerId;
    this.availableProviders = availableProviders;
  }
  static isInstance(error) {
    return AISDKError21.hasMarker(error, marker16);
  }
};
_a16 = symbol16;

// src/registry/provider-registry.ts
import {
  NoSuchModelError as NoSuchModelError4
} from "@ai-sdk/provider";
function createProviderRegistry(providers, {
  separator = ":",
  languageModelMiddleware
} = {}) {
  const registry = new DefaultProviderRegistry({
    separator,
    languageModelMiddleware
  });
  for (const [id, provider] of Object.entries(providers)) {
    registry.registerProvider({ id, provider });
  }
  return registry;
}
var experimental_createProviderRegistry = createProviderRegistry;
var DefaultProviderRegistry = class {
  constructor({
    separator,
    languageModelMiddleware
  }) {
    this.providers = {};
    this.separator = separator;
    this.languageModelMiddleware = languageModelMiddleware;
  }
  registerProvider({
    id,
    provider
  }) {
    this.providers[id] = provider;
  }
  getProvider(id, modelType) {
    const provider = this.providers[id];
    if (provider == null) {
      throw new NoSuchProviderError({
        modelId: id,
        modelType,
        providerId: id,
        availableProviders: Object.keys(this.providers)
      });
    }
    return provider;
  }
  splitId(id, modelType) {
    const index = id.indexOf(this.separator);
    if (index === -1) {
      throw new NoSuchModelError4({
        modelId: id,
        modelType,
        message: `Invalid ${modelType} id for registry: ${id} (must be in the format "providerId${this.separator}modelId")`
      });
    }
    return [id.slice(0, index), id.slice(index + this.separator.length)];
  }
  languageModel(id) {
    var _a17, _b;
    const [providerId, modelId] = this.splitId(id, "languageModel");
    let model = (_b = (_a17 = this.getProvider(providerId, "languageModel")).languageModel) == null ? void 0 : _b.call(
      _a17,
      modelId
    );
    if (model == null) {
      throw new NoSuchModelError4({ modelId: id, modelType: "languageModel" });
    }
    if (this.languageModelMiddleware != null) {
      model = wrapLanguageModel({
        model,
        middleware: this.languageModelMiddleware
      });
    }
    return model;
  }
  textEmbeddingModel(id) {
    var _a17;
    const [providerId, modelId] = this.splitId(id, "textEmbeddingModel");
    const provider = this.getProvider(providerId, "textEmbeddingModel");
    const model = (_a17 = provider.textEmbeddingModel) == null ? void 0 : _a17.call(provider, modelId);
    if (model == null) {
      throw new NoSuchModelError4({
        modelId: id,
        modelType: "textEmbeddingModel"
      });
    }
    return model;
  }
  imageModel(id) {
    var _a17;
    const [providerId, modelId] = this.splitId(id, "imageModel");
    const provider = this.getProvider(providerId, "imageModel");
    const model = (_a17 = provider.imageModel) == null ? void 0 : _a17.call(provider, modelId);
    if (model == null) {
      throw new NoSuchModelError4({ modelId: id, modelType: "imageModel" });
    }
    return model;
  }
  transcriptionModel(id) {
    var _a17;
    const [providerId, modelId] = this.splitId(id, "transcriptionModel");
    const provider = this.getProvider(providerId, "transcriptionModel");
    const model = (_a17 = provider.transcriptionModel) == null ? void 0 : _a17.call(provider, modelId);
    if (model == null) {
      throw new NoSuchModelError4({
        modelId: id,
        modelType: "transcriptionModel"
      });
    }
    return model;
  }
  speechModel(id) {
    var _a17;
    const [providerId, modelId] = this.splitId(id, "speechModel");
    const provider = this.getProvider(providerId, "speechModel");
    const model = (_a17 = provider.speechModel) == null ? void 0 : _a17.call(provider, modelId);
    if (model == null) {
      throw new NoSuchModelError4({ modelId: id, modelType: "speechModel" });
    }
    return model;
  }
};

// src/tool/mcp/mcp-client.ts
import {
  dynamicTool,
  jsonSchema,
  tool
} from "@ai-sdk/provider-utils";

// src/tool/mcp/mcp-sse-transport.ts
import {
  EventSourceParserStream,
  withUserAgentSuffix as withUserAgentSuffix8,
  getRuntimeEnvironmentUserAgent as getRuntimeEnvironmentUserAgent2
} from "@ai-sdk/provider-utils";

// src/tool/mcp/json-rpc-message.ts
import { z as z9 } from "zod/v4";

// src/tool/mcp/types.ts
import { z as z8 } from "zod/v4";
var LATEST_PROTOCOL_VERSION = "2025-06-18";
var SUPPORTED_PROTOCOL_VERSIONS = [
  LATEST_PROTOCOL_VERSION,
  "2025-03-26",
  "2024-11-05"
];
var ClientOrServerImplementationSchema = z8.looseObject({
  name: z8.string(),
  version: z8.string()
});
var BaseParamsSchema = z8.looseObject({
  _meta: z8.optional(z8.object({}).loose())
});
var ResultSchema = BaseParamsSchema;
var RequestSchema = z8.object({
  method: z8.string(),
  params: z8.optional(BaseParamsSchema)
});
var ServerCapabilitiesSchema = z8.looseObject({
  experimental: z8.optional(z8.object({}).loose()),
  logging: z8.optional(z8.object({}).loose()),
  prompts: z8.optional(
    z8.looseObject({
      listChanged: z8.optional(z8.boolean())
    })
  ),
  resources: z8.optional(
    z8.looseObject({
      subscribe: z8.optional(z8.boolean()),
      listChanged: z8.optional(z8.boolean())
    })
  ),
  tools: z8.optional(
    z8.looseObject({
      listChanged: z8.optional(z8.boolean())
    })
  )
});
var InitializeResultSchema = ResultSchema.extend({
  protocolVersion: z8.string(),
  capabilities: ServerCapabilitiesSchema,
  serverInfo: ClientOrServerImplementationSchema,
  instructions: z8.optional(z8.string())
});
var PaginatedResultSchema = ResultSchema.extend({
  nextCursor: z8.optional(z8.string())
});
var ToolSchema = z8.object({
  name: z8.string(),
  description: z8.optional(z8.string()),
  inputSchema: z8.object({
    type: z8.literal("object"),
    properties: z8.optional(z8.object({}).loose())
  }).loose()
}).loose();
var ListToolsResultSchema = PaginatedResultSchema.extend({
  tools: z8.array(ToolSchema)
});
var TextContentSchema = z8.object({
  type: z8.literal("text"),
  text: z8.string()
}).loose();
var ImageContentSchema = z8.object({
  type: z8.literal("image"),
  data: z8.base64(),
  mimeType: z8.string()
}).loose();
var ResourceContentsSchema = z8.object({
  /**
   * The URI of this resource.
   */
  uri: z8.string(),
  /**
   * The MIME type of this resource, if known.
   */
  mimeType: z8.optional(z8.string())
}).loose();
var TextResourceContentsSchema = ResourceContentsSchema.extend({
  text: z8.string()
});
var BlobResourceContentsSchema = ResourceContentsSchema.extend({
  blob: z8.base64()
});
var EmbeddedResourceSchema = z8.object({
  type: z8.literal("resource"),
  resource: z8.union([TextResourceContentsSchema, BlobResourceContentsSchema])
}).loose();
var CallToolResultSchema = ResultSchema.extend({
  content: z8.array(
    z8.union([TextContentSchema, ImageContentSchema, EmbeddedResourceSchema])
  ),
  isError: z8.boolean().default(false).optional()
}).or(
  ResultSchema.extend({
    toolResult: z8.unknown()
  })
);

// src/tool/mcp/json-rpc-message.ts
var JSONRPC_VERSION = "2.0";
var JSONRPCRequestSchema = z9.object({
  jsonrpc: z9.literal(JSONRPC_VERSION),
  id: z9.union([z9.string(), z9.number().int()])
}).merge(RequestSchema).strict();
var JSONRPCResponseSchema = z9.object({
  jsonrpc: z9.literal(JSONRPC_VERSION),
  id: z9.union([z9.string(), z9.number().int()]),
  result: ResultSchema
}).strict();
var JSONRPCErrorSchema = z9.object({
  jsonrpc: z9.literal(JSONRPC_VERSION),
  id: z9.union([z9.string(), z9.number().int()]),
  error: z9.object({
    code: z9.number().int(),
    message: z9.string(),
    data: z9.optional(z9.unknown())
  })
}).strict();
var JSONRPCNotificationSchema = z9.object({
  jsonrpc: z9.literal(JSONRPC_VERSION)
}).merge(
  z9.object({
    method: z9.string(),
    params: z9.optional(BaseParamsSchema)
  })
).strict();
var JSONRPCMessageSchema = z9.union([
  JSONRPCRequestSchema,
  JSONRPCNotificationSchema,
  JSONRPCResponseSchema,
  JSONRPCErrorSchema
]);

// src/tool/mcp/mcp-sse-transport.ts
var SseMCPTransport = class {
  constructor({
    url,
    headers
  }) {
    this.connected = false;
    this.url = new URL(url);
    this.headers = headers;
  }
  async start() {
    return new Promise((resolve2, reject) => {
      if (this.connected) {
        return resolve2();
      }
      this.abortController = new AbortController();
      const establishConnection = async () => {
        var _a17, _b, _c;
        try {
          const headers = withUserAgentSuffix8(
            {
              ...this.headers,
              Accept: "text/event-stream"
            },
            `ai-sdk/${VERSION}`,
            getRuntimeEnvironmentUserAgent2()
          );
          const response = await fetch(this.url.href, {
            headers,
            signal: (_a17 = this.abortController) == null ? void 0 : _a17.signal
          });
          if (!response.ok || !response.body) {
            const error = new MCPClientError({
              message: `MCP SSE Transport Error: ${response.status} ${response.statusText}`
            });
            (_b = this.onerror) == null ? void 0 : _b.call(this, error);
            return reject(error);
          }
          const stream = response.body.pipeThrough(new TextDecoderStream()).pipeThrough(new EventSourceParserStream());
          const reader = stream.getReader();
          const processEvents = async () => {
            var _a18, _b2, _c2;
            try {
              while (true) {
                const { done, value } = await reader.read();
                if (done) {
                  if (this.connected) {
                    this.connected = false;
                    throw new MCPClientError({
                      message: "MCP SSE Transport Error: Connection closed unexpectedly"
                    });
                  }
                  return;
                }
                const { event, data } = value;
                if (event === "endpoint") {
                  this.endpoint = new URL(data, this.url);
                  if (this.endpoint.origin !== this.url.origin) {
                    throw new MCPClientError({
                      message: `MCP SSE Transport Error: Endpoint origin does not match connection origin: ${this.endpoint.origin}`
                    });
                  }
                  this.connected = true;
                  resolve2();
                } else if (event === "message") {
                  try {
                    const message = JSONRPCMessageSchema.parse(
                      JSON.parse(data)
                    );
                    (_a18 = this.onmessage) == null ? void 0 : _a18.call(this, message);
                  } catch (error) {
                    const e = new MCPClientError({
                      message: "MCP SSE Transport Error: Failed to parse message",
                      cause: error
                    });
                    (_b2 = this.onerror) == null ? void 0 : _b2.call(this, e);
                  }
                }
              }
            } catch (error) {
              if (error instanceof Error && error.name === "AbortError") {
                return;
              }
              (_c2 = this.onerror) == null ? void 0 : _c2.call(this, error);
              reject(error);
            }
          };
          this.sseConnection = {
            close: () => reader.cancel()
          };
          processEvents();
        } catch (error) {
          if (error instanceof Error && error.name === "AbortError") {
            return;
          }
          (_c = this.onerror) == null ? void 0 : _c.call(this, error);
          reject(error);
        }
      };
      establishConnection();
    });
  }
  async close() {
    var _a17, _b, _c;
    this.connected = false;
    (_a17 = this.sseConnection) == null ? void 0 : _a17.close();
    (_b = this.abortController) == null ? void 0 : _b.abort();
    (_c = this.onclose) == null ? void 0 : _c.call(this);
  }
  async send(message) {
    var _a17, _b, _c;
    if (!this.endpoint || !this.connected) {
      throw new MCPClientError({
        message: "MCP SSE Transport Error: Not connected"
      });
    }
    try {
      const headers = withUserAgentSuffix8(
        {
          ...this.headers,
          "Content-Type": "application/json"
        },
        `ai-sdk/${VERSION}`,
        getRuntimeEnvironmentUserAgent2()
      );
      const init = {
        method: "POST",
        headers,
        body: JSON.stringify(message),
        signal: (_a17 = this.abortController) == null ? void 0 : _a17.signal
      };
      const response = await fetch(this.endpoint, init);
      if (!response.ok) {
        const text2 = await response.text().catch(() => null);
        const error = new MCPClientError({
          message: `MCP SSE Transport Error: POSTing to endpoint (HTTP ${response.status}): ${text2}`
        });
        (_b = this.onerror) == null ? void 0 : _b.call(this, error);
        return;
      }
    } catch (error) {
      (_c = this.onerror) == null ? void 0 : _c.call(this, error);
      return;
    }
  }
};

// src/tool/mcp/mcp-transport.ts
function createMcpTransport(config) {
  if (config.type !== "sse") {
    throw new MCPClientError({
      message: "Unsupported or invalid transport configuration. If you are using a custom transport, make sure it implements the MCPTransport interface."
    });
  }
  return new SseMCPTransport(config);
}
function isCustomMcpTransport(transport) {
  return "start" in transport && typeof transport.start === "function" && "send" in transport && typeof transport.send === "function" && "close" in transport && typeof transport.close === "function";
}

// src/tool/mcp/mcp-client.ts
var CLIENT_VERSION = "1.0.0";
async function createMCPClient(config) {
  const client = new DefaultMCPClient(config);
  await client.init();
  return client;
}
var DefaultMCPClient = class {
  constructor({
    transport: transportConfig,
    name: name17 = "ai-sdk-mcp-client",
    onUncaughtError
  }) {
    this.requestMessageId = 0;
    this.responseHandlers = /* @__PURE__ */ new Map();
    this.serverCapabilities = {};
    this.isClosed = true;
    this.onUncaughtError = onUncaughtError;
    if (isCustomMcpTransport(transportConfig)) {
      this.transport = transportConfig;
    } else {
      this.transport = createMcpTransport(transportConfig);
    }
    this.transport.onclose = () => this.onClose();
    this.transport.onerror = (error) => this.onError(error);
    this.transport.onmessage = (message) => {
      if ("method" in message) {
        this.onError(
          new MCPClientError({
            message: "Unsupported message type"
          })
        );
        return;
      }
      this.onResponse(message);
    };
    this.clientInfo = {
      name: name17,
      version: CLIENT_VERSION
    };
  }
  async init() {
    try {
      await this.transport.start();
      this.isClosed = false;
      const result = await this.request({
        request: {
          method: "initialize",
          params: {
            protocolVersion: LATEST_PROTOCOL_VERSION,
            capabilities: {},
            clientInfo: this.clientInfo
          }
        },
        resultSchema: InitializeResultSchema
      });
      if (result === void 0) {
        throw new MCPClientError({
          message: "Server sent invalid initialize result"
        });
      }
      if (!SUPPORTED_PROTOCOL_VERSIONS.includes(result.protocolVersion)) {
        throw new MCPClientError({
          message: `Server's protocol version is not supported: ${result.protocolVersion}`
        });
      }
      this.serverCapabilities = result.capabilities;
      await this.notification({
        method: "notifications/initialized"
      });
      return this;
    } catch (error) {
      await this.close();
      throw error;
    }
  }
  async close() {
    var _a17;
    if (this.isClosed)
      return;
    await ((_a17 = this.transport) == null ? void 0 : _a17.close());
    this.onClose();
  }
  assertCapability(method) {
    switch (method) {
      case "initialize":
        break;
      case "tools/list":
      case "tools/call":
        if (!this.serverCapabilities.tools) {
          throw new MCPClientError({
            message: `Server does not support tools`
          });
        }
        break;
      default:
        throw new MCPClientError({
          message: `Unsupported method: ${method}`
        });
    }
  }
  async request({
    request,
    resultSchema,
    options
  }) {
    return new Promise((resolve2, reject) => {
      if (this.isClosed) {
        return reject(
          new MCPClientError({
            message: "Attempted to send a request from a closed client"
          })
        );
      }
      this.assertCapability(request.method);
      const signal = options == null ? void 0 : options.signal;
      signal == null ? void 0 : signal.throwIfAborted();
      const messageId = this.requestMessageId++;
      const jsonrpcRequest = {
        ...request,
        jsonrpc: "2.0",
        id: messageId
      };
      const cleanup = () => {
        this.responseHandlers.delete(messageId);
      };
      this.responseHandlers.set(messageId, (response) => {
        if (signal == null ? void 0 : signal.aborted) {
          return reject(
            new MCPClientError({
              message: "Request was aborted",
              cause: signal.reason
            })
          );
        }
        if (response instanceof Error) {
          return reject(response);
        }
        try {
          const result = resultSchema.parse(response.result);
          resolve2(result);
        } catch (error) {
          const parseError = new MCPClientError({
            message: "Failed to parse server response",
            cause: error
          });
          reject(parseError);
        }
      });
      this.transport.send(jsonrpcRequest).catch((error) => {
        cleanup();
        reject(error);
      });
    });
  }
  async listTools({
    params,
    options
  } = {}) {
    try {
      return this.request({
        request: { method: "tools/list", params },
        resultSchema: ListToolsResultSchema,
        options
      });
    } catch (error) {
      throw error;
    }
  }
  async callTool({
    name: name17,
    args,
    options
  }) {
    try {
      return this.request({
        request: { method: "tools/call", params: { name: name17, arguments: args } },
        resultSchema: CallToolResultSchema,
        options: {
          signal: options == null ? void 0 : options.abortSignal
        }
      });
    } catch (error) {
      throw error;
    }
  }
  async notification(notification) {
    const jsonrpcNotification = {
      ...notification,
      jsonrpc: "2.0"
    };
    await this.transport.send(jsonrpcNotification);
  }
  /**
   * Returns a set of AI SDK tools from the MCP server
   * @returns A record of tool names to their implementations
   */
  async tools({
    schemas = "automatic"
  } = {}) {
    var _a17;
    const tools = {};
    try {
      const listToolsResult = await this.listTools();
      for (const { name: name17, description, inputSchema } of listToolsResult.tools) {
        if (schemas !== "automatic" && !(name17 in schemas)) {
          continue;
        }
        const self = this;
        const execute = async (args, options) => {
          var _a18;
          (_a18 = options == null ? void 0 : options.abortSignal) == null ? void 0 : _a18.throwIfAborted();
          return self.callTool({ name: name17, args, options });
        };
        const toolWithExecute = schemas === "automatic" ? dynamicTool({
          description,
          inputSchema: jsonSchema({
            ...inputSchema,
            properties: (_a17 = inputSchema.properties) != null ? _a17 : {},
            additionalProperties: false
          }),
          execute
        }) : tool({
          description,
          inputSchema: schemas[name17].inputSchema,
          execute
        });
        tools[name17] = toolWithExecute;
      }
      return tools;
    } catch (error) {
      throw error;
    }
  }
  onClose() {
    if (this.isClosed)
      return;
    this.isClosed = true;
    const error = new MCPClientError({
      message: "Connection closed"
    });
    for (const handler of this.responseHandlers.values()) {
      handler(error);
    }
    this.responseHandlers.clear();
  }
  onError(error) {
    if (this.onUncaughtError) {
      this.onUncaughtError(error);
    }
  }
  onResponse(response) {
    const messageId = Number(response.id);
    const handler = this.responseHandlers.get(messageId);
    if (handler === void 0) {
      throw new MCPClientError({
        message: `Protocol error: Received a response for an unknown message ID: ${JSON.stringify(
          response
        )}`
      });
    }
    this.responseHandlers.delete(messageId);
    handler(
      "result" in response ? response : new MCPClientError({
        message: response.error.message,
        code: response.error.code,
        data: response.error.data,
        cause: response.error
      })
    );
  }
};

// src/transcribe/transcribe.ts
import { withUserAgentSuffix as withUserAgentSuffix9 } from "@ai-sdk/provider-utils";

// src/error/no-transcript-generated-error.ts
import { AISDKError as AISDKError22 } from "@ai-sdk/provider";
var NoTranscriptGeneratedError = class extends AISDKError22 {
  constructor(options) {
    super({
      name: "AI_NoTranscriptGeneratedError",
      message: "No transcript generated."
    });
    this.responses = options.responses;
  }
};

// src/transcribe/transcribe.ts
async function transcribe({
  model,
  audio,
  providerOptions = {},
  maxRetries: maxRetriesArg,
  abortSignal,
  headers
}) {
  if (model.specificationVersion !== "v2") {
    throw new UnsupportedModelVersionError({
      version: model.specificationVersion,
      provider: model.provider,
      modelId: model.modelId
    });
  }
  const { retry } = prepareRetries({
    maxRetries: maxRetriesArg,
    abortSignal
  });
  const headersWithUserAgent = withUserAgentSuffix9(
    headers != null ? headers : {},
    `ai/${VERSION}`
  );
  const audioData = audio instanceof URL ? (await download({ url: audio })).data : convertDataContentToUint8Array(audio);
  const result = await retry(
    () => {
      var _a17;
      return model.doGenerate({
        audio: audioData,
        abortSignal,
        headers: headersWithUserAgent,
        providerOptions,
        mediaType: (_a17 = detectMediaType({
          data: audioData,
          signatures: audioMediaTypeSignatures
        })) != null ? _a17 : "audio/wav"
      });
    }
  );
  logWarnings(result.warnings);
  if (!result.text) {
    throw new NoTranscriptGeneratedError({ responses: [result.response] });
  }
  return new DefaultTranscriptionResult({
    text: result.text,
    segments: result.segments,
    language: result.language,
    durationInSeconds: result.durationInSeconds,
    warnings: result.warnings,
    responses: [result.response],
    providerMetadata: result.providerMetadata
  });
}
var DefaultTranscriptionResult = class {
  constructor(options) {
    var _a17;
    this.text = options.text;
    this.segments = options.segments;
    this.language = options.language;
    this.durationInSeconds = options.durationInSeconds;
    this.warnings = options.warnings;
    this.responses = options.responses;
    this.providerMetadata = (_a17 = options.providerMetadata) != null ? _a17 : {};
  }
};

// src/ui/call-completion-api.ts
import {
  parseJsonEventStream,
  withUserAgentSuffix as withUserAgentSuffix10,
  getRuntimeEnvironmentUserAgent as getRuntimeEnvironmentUserAgent3
} from "@ai-sdk/provider-utils";

// src/ui/process-text-stream.ts
async function processTextStream({
  stream,
  onTextPart
}) {
  const reader = stream.pipeThrough(new TextDecoderStream()).getReader();
  while (true) {
    const { done, value } = await reader.read();
    if (done) {
      break;
    }
    await onTextPart(value);
  }
}

// src/ui/call-completion-api.ts
var getOriginalFetch = () => fetch;
async function callCompletionApi({
  api,
  prompt,
  credentials,
  headers,
  body,
  streamProtocol = "data",
  setCompletion,
  setLoading,
  setError,
  setAbortController,
  onFinish,
  onError,
  fetch: fetch2 = getOriginalFetch()
}) {
  var _a17;
  try {
    setLoading(true);
    setError(void 0);
    const abortController = new AbortController();
    setAbortController(abortController);
    setCompletion("");
    const response = await fetch2(api, {
      method: "POST",
      body: JSON.stringify({
        prompt,
        ...body
      }),
      credentials,
      headers: withUserAgentSuffix10(
        {
          "Content-Type": "application/json",
          ...headers
        },
        `ai-sdk/${VERSION}`,
        getRuntimeEnvironmentUserAgent3()
      ),
      signal: abortController.signal
    }).catch((err) => {
      throw err;
    });
    if (!response.ok) {
      throw new Error(
        (_a17 = await response.text()) != null ? _a17 : "Failed to fetch the chat response."
      );
    }
    if (!response.body) {
      throw new Error("The response body is empty.");
    }
    let result = "";
    switch (streamProtocol) {
      case "text": {
        await processTextStream({
          stream: response.body,
          onTextPart: (chunk) => {
            result += chunk;
            setCompletion(result);
          }
        });
        break;
      }
      case "data": {
        await consumeStream({
          stream: parseJsonEventStream({
            stream: response.body,
            schema: uiMessageChunkSchema
          }).pipeThrough(
            new TransformStream({
              async transform(part) {
                if (!part.success) {
                  throw part.error;
                }
                const streamPart = part.value;
                if (streamPart.type === "text-delta") {
                  result += streamPart.delta;
                  setCompletion(result);
                } else if (streamPart.type === "error") {
                  throw new Error(streamPart.errorText);
                }
              }
            })
          ),
          onError: (error) => {
            throw error;
          }
        });
        break;
      }
      default: {
        const exhaustiveCheck = streamProtocol;
        throw new Error(`Unknown stream protocol: ${exhaustiveCheck}`);
      }
    }
    if (onFinish) {
      onFinish(prompt, result);
    }
    setAbortController(null);
    return result;
  } catch (err) {
    if (err.name === "AbortError") {
      setAbortController(null);
      return null;
    }
    if (err instanceof Error) {
      if (onError) {
        onError(err);
      }
    }
    setError(err);
  } finally {
    setLoading(false);
  }
}

// src/ui/chat.ts
import {
  generateId as generateIdFunc
} from "@ai-sdk/provider-utils";

// src/ui/convert-file-list-to-file-ui-parts.ts
async function convertFileListToFileUIParts(files) {
  if (files == null) {
    return [];
  }
  if (!globalThis.FileList || !(files instanceof globalThis.FileList)) {
    throw new Error("FileList is not supported in the current environment");
  }
  return Promise.all(
    Array.from(files).map(async (file) => {
      const { name: name17, type } = file;
      const dataUrl = await new Promise((resolve2, reject) => {
        const reader = new FileReader();
        reader.onload = (readerEvent) => {
          var _a17;
          resolve2((_a17 = readerEvent.target) == null ? void 0 : _a17.result);
        };
        reader.onerror = (error) => reject(error);
        reader.readAsDataURL(file);
      });
      return {
        type: "file",
        mediaType: type,
        filename: name17,
        url: dataUrl
      };
    })
  );
}

// src/ui/default-chat-transport.ts
import { parseJsonEventStream as parseJsonEventStream2 } from "@ai-sdk/provider-utils";

// src/ui/http-chat-transport.ts
import {
  resolve,
  withUserAgentSuffix as withUserAgentSuffix11,
  getRuntimeEnvironmentUserAgent as getRuntimeEnvironmentUserAgent4
} from "@ai-sdk/provider-utils";
var HttpChatTransport = class {
  constructor({
    api = "/api/chat",
    credentials,
    headers,
    body,
    fetch: fetch2,
    prepareSendMessagesRequest,
    prepareReconnectToStreamRequest
  }) {
    this.api = api;
    this.credentials = credentials;
    this.headers = headers;
    this.body = body;
    this.fetch = fetch2;
    this.prepareSendMessagesRequest = prepareSendMessagesRequest;
    this.prepareReconnectToStreamRequest = prepareReconnectToStreamRequest;
  }
  async sendMessages({
    abortSignal,
    ...options
  }) {
    var _a17, _b, _c, _d, _e;
    const resolvedBody = await resolve(this.body);
    const resolvedHeaders = await resolve(this.headers);
    const resolvedCredentials = await resolve(this.credentials);
    const preparedRequest = await ((_a17 = this.prepareSendMessagesRequest) == null ? void 0 : _a17.call(this, {
      api: this.api,
      id: options.chatId,
      messages: options.messages,
      body: { ...resolvedBody, ...options.body },
      headers: { ...resolvedHeaders, ...options.headers },
      credentials: resolvedCredentials,
      requestMetadata: options.metadata,
      trigger: options.trigger,
      messageId: options.messageId
    }));
    const api = (_b = preparedRequest == null ? void 0 : preparedRequest.api) != null ? _b : this.api;
    const headers = (preparedRequest == null ? void 0 : preparedRequest.headers) !== void 0 ? preparedRequest.headers : { ...resolvedHeaders, ...options.headers };
    const body = (preparedRequest == null ? void 0 : preparedRequest.body) !== void 0 ? preparedRequest.body : {
      ...resolvedBody,
      ...options.body,
      id: options.chatId,
      messages: options.messages,
      trigger: options.trigger,
      messageId: options.messageId
    };
    const credentials = (_c = preparedRequest == null ? void 0 : preparedRequest.credentials) != null ? _c : resolvedCredentials;
    const fetch2 = (_d = this.fetch) != null ? _d : globalThis.fetch;
    const response = await fetch2(api, {
      method: "POST",
      headers: withUserAgentSuffix11(
        {
          "Content-Type": "application/json",
          ...headers
        },
        `ai-sdk/${VERSION}`,
        getRuntimeEnvironmentUserAgent4()
      ),
      body: JSON.stringify(body),
      credentials,
      signal: abortSignal
    });
    if (!response.ok) {
      throw new Error(
        (_e = await response.text()) != null ? _e : "Failed to fetch the chat response."
      );
    }
    if (!response.body) {
      throw new Error("The response body is empty.");
    }
    return this.processResponseStream(response.body);
  }
  async reconnectToStream(options) {
    var _a17, _b, _c, _d, _e;
    const resolvedBody = await resolve(this.body);
    const resolvedHeaders = await resolve(this.headers);
    const resolvedCredentials = await resolve(this.credentials);
    const preparedRequest = await ((_a17 = this.prepareReconnectToStreamRequest) == null ? void 0 : _a17.call(this, {
      api: this.api,
      id: options.chatId,
      body: { ...resolvedBody, ...options.body },
      headers: { ...resolvedHeaders, ...options.headers },
      credentials: resolvedCredentials,
      requestMetadata: options.metadata
    }));
    const api = (_b = preparedRequest == null ? void 0 : preparedRequest.api) != null ? _b : `${this.api}/${options.chatId}/stream`;
    const headers = (preparedRequest == null ? void 0 : preparedRequest.headers) !== void 0 ? preparedRequest.headers : { ...resolvedHeaders, ...options.headers };
    const credentials = (_c = preparedRequest == null ? void 0 : preparedRequest.credentials) != null ? _c : resolvedCredentials;
    const fetch2 = (_d = this.fetch) != null ? _d : globalThis.fetch;
    const response = await fetch2(api, {
      method: "GET",
      headers: withUserAgentSuffix11(
        headers,
        `ai-sdk/${VERSION}`,
        getRuntimeEnvironmentUserAgent4()
      ),
      credentials
    });
    if (response.status === 204) {
      return null;
    }
    if (!response.ok) {
      throw new Error(
        (_e = await response.text()) != null ? _e : "Failed to fetch the chat response."
      );
    }
    if (!response.body) {
      throw new Error("The response body is empty.");
    }
    return this.processResponseStream(response.body);
  }
};

// src/ui/default-chat-transport.ts
var DefaultChatTransport = class extends HttpChatTransport {
  constructor(options = {}) {
    super(options);
  }
  processResponseStream(stream) {
    return parseJsonEventStream2({
      stream,
      schema: uiMessageChunkSchema
    }).pipeThrough(
      new TransformStream({
        async transform(chunk, controller) {
          if (!chunk.success) {
            throw chunk.error;
          }
          controller.enqueue(chunk.value);
        }
      })
    );
  }
};

// src/ui/chat.ts
var AbstractChat = class {
  constructor({
    generateId: generateId3 = generateIdFunc,
    id = generateId3(),
    transport = new DefaultChatTransport(),
    messageMetadataSchema,
    dataPartSchemas,
    state,
    onError,
    onToolCall,
    onFinish,
    onData,
    sendAutomaticallyWhen
  }) {
    this.activeResponse = void 0;
    this.jobExecutor = new SerialJobExecutor();
    /**
     * Appends or replaces a user message to the chat list. This triggers the API call to fetch
     * the assistant's response.
     *
     * If a messageId is provided, the message will be replaced.
     */
    this.sendMessage = async (message, options) => {
      var _a17, _b, _c, _d;
      if (message == null) {
        await this.makeRequest({
          trigger: "submit-message",
          messageId: (_a17 = this.lastMessage) == null ? void 0 : _a17.id,
          ...options
        });
        return;
      }
      let uiMessage;
      if ("text" in message || "files" in message) {
        const fileParts = Array.isArray(message.files) ? message.files : await convertFileListToFileUIParts(message.files);
        uiMessage = {
          parts: [
            ...fileParts,
            ..."text" in message && message.text != null ? [{ type: "text", text: message.text }] : []
          ]
        };
      } else {
        uiMessage = message;
      }
      if (message.messageId != null) {
        const messageIndex = this.state.messages.findIndex(
          (m) => m.id === message.messageId
        );
        if (messageIndex === -1) {
          throw new Error(`message with id ${message.messageId} not found`);
        }
        if (this.state.messages[messageIndex].role !== "user") {
          throw new Error(
            `message with id ${message.messageId} is not a user message`
          );
        }
        this.state.messages = this.state.messages.slice(0, messageIndex + 1);
        this.state.replaceMessage(messageIndex, {
          ...uiMessage,
          id: message.messageId,
          role: (_b = uiMessage.role) != null ? _b : "user",
          metadata: message.metadata
        });
      } else {
        this.state.pushMessage({
          ...uiMessage,
          id: (_c = uiMessage.id) != null ? _c : this.generateId(),
          role: (_d = uiMessage.role) != null ? _d : "user",
          metadata: message.metadata
        });
      }
      await this.makeRequest({
        trigger: "submit-message",
        messageId: message.messageId,
        ...options
      });
    };
    /**
     * Regenerate the assistant message with the provided message id.
     * If no message id is provided, the last assistant message will be regenerated.
     */
    this.regenerate = async ({
      messageId,
      ...options
    } = {}) => {
      const messageIndex = messageId == null ? this.state.messages.length - 1 : this.state.messages.findIndex((message) => message.id === messageId);
      if (messageIndex === -1) {
        throw new Error(`message ${messageId} not found`);
      }
      this.state.messages = this.state.messages.slice(
        0,
        // if the message is a user message, we need to include it in the request:
        this.messages[messageIndex].role === "assistant" ? messageIndex : messageIndex + 1
      );
      await this.makeRequest({
        trigger: "regenerate-message",
        messageId,
        ...options
      });
    };
    /**
     * Attempt to resume an ongoing streaming response.
     */
    this.resumeStream = async (options = {}) => {
      await this.makeRequest({ trigger: "resume-stream", ...options });
    };
    /**
     * Clear the error state and set the status to ready if the chat is in an error state.
     */
    this.clearError = () => {
      if (this.status === "error") {
        this.state.error = void 0;
        this.setStatus({ status: "ready" });
      }
    };
    this.addToolResult = async ({
      state = "output-available",
      tool: tool3,
      toolCallId,
      output,
      errorText
    }) => this.jobExecutor.run(async () => {
      var _a17, _b;
      const messages = this.state.messages;
      const lastMessage = messages[messages.length - 1];
      this.state.replaceMessage(messages.length - 1, {
        ...lastMessage,
        parts: lastMessage.parts.map(
          (part) => isToolOrDynamicToolUIPart(part) && part.toolCallId === toolCallId ? { ...part, state, output, errorText } : part
        )
      });
      if (this.activeResponse) {
        this.activeResponse.state.message.parts = this.activeResponse.state.message.parts.map(
          (part) => isToolOrDynamicToolUIPart(part) && part.toolCallId === toolCallId ? {
            ...part,
            state,
            output,
            errorText
          } : part
        );
      }
      if (this.status !== "streaming" && this.status !== "submitted" && ((_a17 = this.sendAutomaticallyWhen) == null ? void 0 : _a17.call(this, { messages: this.state.messages }))) {
        this.makeRequest({
          trigger: "submit-message",
          messageId: (_b = this.lastMessage) == null ? void 0 : _b.id
        });
      }
    });
    /**
     * Abort the current request immediately, keep the generated tokens if any.
     */
    this.stop = async () => {
      var _a17;
      if (this.status !== "streaming" && this.status !== "submitted")
        return;
      if ((_a17 = this.activeResponse) == null ? void 0 : _a17.abortController) {
        this.activeResponse.abortController.abort();
      }
    };
    this.id = id;
    this.transport = transport;
    this.generateId = generateId3;
    this.messageMetadataSchema = messageMetadataSchema;
    this.dataPartSchemas = dataPartSchemas;
    this.state = state;
    this.onError = onError;
    this.onToolCall = onToolCall;
    this.onFinish = onFinish;
    this.onData = onData;
    this.sendAutomaticallyWhen = sendAutomaticallyWhen;
  }
  /**
   * Hook status:
   *
   * - `submitted`: The message has been sent to the API and we're awaiting the start of the response stream.
   * - `streaming`: The response is actively streaming in from the API, receiving chunks of data.
   * - `ready`: The full response has been received and processed; a new user message can be submitted.
   * - `error`: An error occurred during the API request, preventing successful completion.
   */
  get status() {
    return this.state.status;
  }
  setStatus({
    status,
    error
  }) {
    if (this.status === status)
      return;
    this.state.status = status;
    this.state.error = error;
  }
  get error() {
    return this.state.error;
  }
  get messages() {
    return this.state.messages;
  }
  get lastMessage() {
    return this.state.messages[this.state.messages.length - 1];
  }
  set messages(messages) {
    this.state.messages = messages;
  }
  async makeRequest({
    trigger,
    metadata,
    headers,
    body,
    messageId
  }) {
    var _a17, _b, _c;
    this.setStatus({ status: "submitted", error: void 0 });
    const lastMessage = this.lastMessage;
    let isAbort = false;
    let isDisconnect = false;
    let isError = false;
    try {
      const activeResponse = {
        state: createStreamingUIMessageState({
          lastMessage: this.state.snapshot(lastMessage),
          messageId: this.generateId()
        }),
        abortController: new AbortController()
      };
      activeResponse.abortController.signal.addEventListener("abort", () => {
        isAbort = true;
      });
      this.activeResponse = activeResponse;
      let stream;
      if (trigger === "resume-stream") {
        const reconnect = await this.transport.reconnectToStream({
          chatId: this.id,
          metadata,
          headers,
          body
        });
        if (reconnect == null) {
          this.setStatus({ status: "ready" });
          return;
        }
        stream = reconnect;
      } else {
        stream = await this.transport.sendMessages({
          chatId: this.id,
          messages: this.state.messages,
          abortSignal: activeResponse.abortController.signal,
          metadata,
          headers,
          body,
          trigger,
          messageId
        });
      }
      const runUpdateMessageJob = (job) => (
        // serialize the job execution to avoid race conditions:
        this.jobExecutor.run(
          () => job({
            state: activeResponse.state,
            write: () => {
              var _a18;
              this.setStatus({ status: "streaming" });
              const replaceLastMessage = activeResponse.state.message.id === ((_a18 = this.lastMessage) == null ? void 0 : _a18.id);
              if (replaceLastMessage) {
                this.state.replaceMessage(
                  this.state.messages.length - 1,
                  activeResponse.state.message
                );
              } else {
                this.state.pushMessage(activeResponse.state.message);
              }
            }
          })
        )
      );
      await consumeStream({
        stream: processUIMessageStream({
          stream,
          onToolCall: this.onToolCall,
          onData: this.onData,
          messageMetadataSchema: this.messageMetadataSchema,
          dataPartSchemas: this.dataPartSchemas,
          runUpdateMessageJob,
          onError: (error) => {
            throw error;
          }
        }),
        onError: (error) => {
          throw error;
        }
      });
      this.setStatus({ status: "ready" });
    } catch (err) {
      if (isAbort || err.name === "AbortError") {
        isAbort = true;
        this.setStatus({ status: "ready" });
        return null;
      }
      isError = true;
      if (err instanceof TypeError && (err.message.toLowerCase().includes("fetch") || err.message.toLowerCase().includes("network"))) {
        isDisconnect = true;
      }
      if (this.onError && err instanceof Error) {
        this.onError(err);
      }
      this.setStatus({ status: "error", error: err });
    } finally {
      try {
        (_a17 = this.onFinish) == null ? void 0 : _a17.call(this, {
          message: this.activeResponse.state.message,
          messages: this.state.messages,
          isAbort,
          isDisconnect,
          isError
        });
      } catch (err) {
        console.error(err);
      }
      this.activeResponse = void 0;
    }
    if (((_b = this.sendAutomaticallyWhen) == null ? void 0 : _b.call(this, { messages: this.state.messages })) && !isError) {
      await this.makeRequest({
        trigger: "submit-message",
        messageId: (_c = this.lastMessage) == null ? void 0 : _c.id,
        metadata,
        headers,
        body
      });
    }
  }
};

// src/ui/last-assistant-message-is-complete-with-tool-calls.ts
function lastAssistantMessageIsCompleteWithToolCalls({
  messages
}) {
  const message = messages[messages.length - 1];
  if (!message) {
    return false;
  }
  if (message.role !== "assistant") {
    return false;
  }
  const lastStepStartIndex = message.parts.reduce((lastIndex, part, index) => {
    return part.type === "step-start" ? index : lastIndex;
  }, -1);
  const lastStepToolInvocations = message.parts.slice(lastStepStartIndex + 1).filter(isToolOrDynamicToolUIPart);
  return lastStepToolInvocations.length > 0 && lastStepToolInvocations.every(
    (part) => part.state === "output-available" || part.state === "output-error"
  );
}

// src/ui/transform-text-to-ui-message-stream.ts
function transformTextToUiMessageStream({
  stream
}) {
  return stream.pipeThrough(
    new TransformStream({
      start(controller) {
        controller.enqueue({ type: "start" });
        controller.enqueue({ type: "start-step" });
        controller.enqueue({ type: "text-start", id: "text-1" });
      },
      async transform(part, controller) {
        controller.enqueue({ type: "text-delta", id: "text-1", delta: part });
      },
      async flush(controller) {
        controller.enqueue({ type: "text-end", id: "text-1" });
        controller.enqueue({ type: "finish-step" });
        controller.enqueue({ type: "finish" });
      }
    })
  );
}

// src/ui/text-stream-chat-transport.ts
var TextStreamChatTransport = class extends HttpChatTransport {
  constructor(options = {}) {
    super(options);
  }
  processResponseStream(stream) {
    return transformTextToUiMessageStream({
      stream: stream.pipeThrough(new TextDecoderStream())
    });
  }
};

// src/ui/validate-ui-messages.ts
import { TypeValidationError as TypeValidationError4 } from "@ai-sdk/provider";
import {
  lazyValidator as lazyValidator2,
  validateTypes as validateTypes2,
  zodSchema as zodSchema2
} from "@ai-sdk/provider-utils";
import { z as z10 } from "zod/v4";
var uiMessagesSchema = lazyValidator2(
  () => zodSchema2(
    z10.array(
      z10.object({
        id: z10.string(),
        role: z10.enum(["system", "user", "assistant"]),
        metadata: z10.unknown().optional(),
        parts: z10.array(
          z10.union([
            z10.object({
              type: z10.literal("text"),
              text: z10.string(),
              state: z10.enum(["streaming", "done"]).optional(),
              providerMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("reasoning"),
              text: z10.string(),
              state: z10.enum(["streaming", "done"]).optional(),
              providerMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("source-url"),
              sourceId: z10.string(),
              url: z10.string(),
              title: z10.string().optional(),
              providerMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("source-document"),
              sourceId: z10.string(),
              mediaType: z10.string(),
              title: z10.string(),
              filename: z10.string().optional(),
              providerMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("file"),
              mediaType: z10.string(),
              filename: z10.string().optional(),
              url: z10.string(),
              providerMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("step-start")
            }),
            z10.object({
              type: z10.string().startsWith("data-"),
              id: z10.string().optional(),
              data: z10.unknown()
            }),
            z10.object({
              type: z10.literal("dynamic-tool"),
              toolName: z10.string(),
              toolCallId: z10.string(),
              state: z10.literal("input-streaming"),
              input: z10.unknown().optional(),
              output: z10.never().optional(),
              errorText: z10.never().optional()
            }),
            z10.object({
              type: z10.literal("dynamic-tool"),
              toolName: z10.string(),
              toolCallId: z10.string(),
              state: z10.literal("input-available"),
              input: z10.unknown(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.literal("dynamic-tool"),
              toolName: z10.string(),
              toolCallId: z10.string(),
              state: z10.literal("output-available"),
              input: z10.unknown(),
              output: z10.unknown(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              preliminary: z10.boolean().optional()
            }),
            z10.object({
              type: z10.literal("dynamic-tool"),
              toolName: z10.string(),
              toolCallId: z10.string(),
              state: z10.literal("output-error"),
              input: z10.unknown(),
              output: z10.never().optional(),
              errorText: z10.string(),
              callProviderMetadata: providerMetadataSchema.optional()
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("input-streaming"),
              providerExecuted: z10.boolean().optional(),
              input: z10.unknown().optional(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              approval: z10.never().optional()
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("input-available"),
              providerExecuted: z10.boolean().optional(),
              input: z10.unknown(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              approval: z10.never().optional()
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("approval-requested"),
              input: z10.unknown(),
              providerExecuted: z10.boolean().optional(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              approval: z10.object({
                id: z10.string(),
                approved: z10.never().optional(),
                reason: z10.never().optional()
              })
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("approval-responded"),
              input: z10.unknown(),
              providerExecuted: z10.boolean().optional(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              approval: z10.object({
                id: z10.string(),
                approved: z10.boolean(),
                reason: z10.string().optional()
              })
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("output-available"),
              providerExecuted: z10.boolean().optional(),
              input: z10.unknown(),
              output: z10.unknown(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              preliminary: z10.boolean().optional(),
              approval: z10.object({
                id: z10.string(),
                approved: z10.literal(true),
                reason: z10.string().optional()
              }).optional()
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("output-error"),
              providerExecuted: z10.boolean().optional(),
              input: z10.unknown(),
              output: z10.never().optional(),
              errorText: z10.string(),
              callProviderMetadata: providerMetadataSchema.optional(),
              approval: z10.object({
                id: z10.string(),
                approved: z10.literal(true),
                reason: z10.string().optional()
              }).optional()
            }),
            z10.object({
              type: z10.string().startsWith("tool-"),
              toolCallId: z10.string(),
              state: z10.literal("output-denied"),
              providerExecuted: z10.boolean().optional(),
              input: z10.unknown(),
              output: z10.never().optional(),
              errorText: z10.never().optional(),
              callProviderMetadata: providerMetadataSchema.optional(),
              approval: z10.object({
                id: z10.string(),
                approved: z10.literal(false),
                reason: z10.string().optional()
              })
            })
          ])
        )
      })
    )
  )
);
async function safeValidateUIMessages({
  messages,
  metadataSchema,
  dataSchemas,
  tools
}) {
  try {
    if (messages == null) {
      return {
        success: false,
        error: new InvalidArgumentError({
          parameter: "messages",
          value: messages,
          message: "messages parameter must be provided"
        })
      };
    }
    const validatedMessages = await validateTypes2({
      value: messages,
      schema: uiMessagesSchema
    });
    if (metadataSchema) {
      for (const message of validatedMessages) {
        await validateTypes2({
          value: message.metadata,
          schema: metadataSchema
        });
      }
    }
    if (dataSchemas) {
      for (const message of validatedMessages) {
        const dataParts = message.parts.filter(
          (part) => part.type.startsWith("data-")
        );
        for (const dataPart of dataParts) {
          const dataName = dataPart.type.slice(5);
          const dataSchema = dataSchemas[dataName];
          if (!dataSchema) {
            return {
              success: false,
              error: new TypeValidationError4({
                value: dataPart.data,
                cause: `No data schema found for data part ${dataName}`
              })
            };
          }
          await validateTypes2({
            value: dataPart.data,
            schema: dataSchema
          });
        }
      }
    }
    if (tools) {
      for (const message of validatedMessages) {
        const toolParts = message.parts.filter(
          (part) => part.type.startsWith("tool-")
        );
        for (const toolPart of toolParts) {
          const toolName = toolPart.type.slice(5);
          const tool3 = tools[toolName];
          if (!tool3) {
            return {
              success: false,
              error: new TypeValidationError4({
                value: toolPart.input,
                cause: `No tool schema found for tool part ${toolName}`
              })
            };
          }
          if (toolPart.state === "input-available" || toolPart.state === "output-available" || toolPart.state === "output-error") {
            await validateTypes2({
              value: toolPart.input,
              schema: tool3.inputSchema
            });
          }
          if (toolPart.state === "output-available" && tool3.outputSchema) {
            await validateTypes2({
              value: toolPart.output,
              schema: tool3.outputSchema
            });
          }
        }
      }
    }
    return {
      success: true,
      data: validatedMessages
    };
  } catch (error) {
    const err = error;
    return {
      success: false,
      error: err
    };
  }
}
async function validateUIMessages({
  messages,
  metadataSchema,
  dataSchemas,
  tools
}) {
  const response = await safeValidateUIMessages({
    messages,
    metadataSchema,
    dataSchemas,
    tools
  });
  if (!response.success)
    throw response.error;
  return response.data;
}

// src/ui-message-stream/create-ui-message-stream.ts
import {
  generateId as generateIdFunc2,
  getErrorMessage as getErrorMessage8
} from "@ai-sdk/provider-utils";
function createUIMessageStream({
  execute,
  onError = getErrorMessage8,
  originalMessages,
  onFinish,
  generateId: generateId3 = generateIdFunc2
}) {
  let controller;
  const ongoingStreamPromises = [];
  const stream = new ReadableStream({
    start(controllerArg) {
      controller = controllerArg;
    }
  });
  function safeEnqueue(data) {
    try {
      controller.enqueue(data);
    } catch (error) {
    }
  }
  try {
    const result = execute({
      writer: {
        write(part) {
          safeEnqueue(part);
        },
        merge(streamArg) {
          ongoingStreamPromises.push(
            (async () => {
              const reader = streamArg.getReader();
              while (true) {
                const { done, value } = await reader.read();
                if (done)
                  break;
                safeEnqueue(value);
              }
            })().catch((error) => {
              safeEnqueue({
                type: "error",
                errorText: onError(error)
              });
            })
          );
        },
        onError
      }
    });
    if (result) {
      ongoingStreamPromises.push(
        result.catch((error) => {
          safeEnqueue({
            type: "error",
            errorText: onError(error)
          });
        })
      );
    }
  } catch (error) {
    safeEnqueue({
      type: "error",
      errorText: onError(error)
    });
  }
  const waitForStreams = new Promise(async (resolve2) => {
    while (ongoingStreamPromises.length > 0) {
      await ongoingStreamPromises.shift();
    }
    resolve2();
  });
  waitForStreams.finally(() => {
    try {
      controller.close();
    } catch (error) {
    }
  });
  return handleUIMessageStreamFinish({
    stream,
    messageId: generateId3(),
    originalMessages,
    onFinish,
    onError
  });
}

// src/ui-message-stream/read-ui-message-stream.ts
function readUIMessageStream({
  message,
  stream,
  onError,
  terminateOnError = false
}) {
  var _a17;
  let controller;
  let hasErrored = false;
  const outputStream = new ReadableStream({
    start(controllerParam) {
      controller = controllerParam;
    }
  });
  const state = createStreamingUIMessageState({
    messageId: (_a17 = message == null ? void 0 : message.id) != null ? _a17 : "",
    lastMessage: message
  });
  const handleError = (error) => {
    onError == null ? void 0 : onError(error);
    if (!hasErrored && terminateOnError) {
      hasErrored = true;
      controller == null ? void 0 : controller.error(error);
    }
  };
  consumeStream({
    stream: processUIMessageStream({
      stream,
      runUpdateMessageJob(job) {
        return job({
          state,
          write: () => {
            controller == null ? void 0 : controller.enqueue(structuredClone(state.message));
          }
        });
      },
      onError: handleError
    }),
    onError: handleError
  }).finally(() => {
    if (!hasErrored) {
      controller == null ? void 0 : controller.close();
    }
  });
  return createAsyncIterableStream(outputStream);
}
export {
  AISDKError18 as AISDKError,
  APICallError,
  AbstractChat,
  DefaultChatTransport,
  DownloadError,
  EmptyResponseBodyError,
  Agent as Experimental_Agent,
  HttpChatTransport,
  InvalidArgumentError,
  InvalidDataContentError,
  InvalidMessageRoleError,
  InvalidPromptError,
  InvalidResponseDataError,
  InvalidStreamPartError,
  InvalidToolInputError,
  JSONParseError,
  JsonToSseTransformStream,
  LoadAPIKeyError,
  LoadSettingError,
  MCPClientError,
  MessageConversionError,
  NoContentGeneratedError,
  NoImageGeneratedError,
  NoObjectGeneratedError,
  NoOutputGeneratedError,
  NoOutputSpecifiedError,
  NoSpeechGeneratedError,
  NoSuchModelError,
  NoSuchProviderError,
  NoSuchToolError,
  output_exports as Output,
  RetryError,
  SerialJobExecutor,
  TextStreamChatTransport,
  TooManyEmbeddingValuesForCallError,
  ToolCallRepairError,
  TypeValidationError,
  UI_MESSAGE_STREAM_HEADERS,
  UnsupportedFunctionalityError,
  UnsupportedModelVersionError,
  asSchema5 as asSchema,
  assistantModelMessageSchema,
  callCompletionApi,
  consumeStream,
  convertFileListToFileUIParts,
  convertToCoreMessages,
  convertToModelMessages,
  coreAssistantMessageSchema,
  coreMessageSchema,
  coreSystemMessageSchema,
  coreToolMessageSchema,
  coreUserMessageSchema,
  cosineSimilarity,
  createGateway,
  createIdGenerator5 as createIdGenerator,
  createProviderRegistry,
  createTextStreamResponse,
  createUIMessageStream,
  createUIMessageStreamResponse,
  customProvider,
  defaultSettingsMiddleware,
  dynamicTool2 as dynamicTool,
  embed,
  embedMany,
  createMCPClient as experimental_createMCPClient,
  experimental_createProviderRegistry,
  experimental_customProvider,
  generateImage as experimental_generateImage,
  generateSpeech as experimental_generateSpeech,
  transcribe as experimental_transcribe,
  extractReasoningMiddleware,
  gateway2 as gateway,
  generateId2 as generateId,
  generateObject,
  generateText,
  getTextFromDataUrl,
  getToolName,
  getToolOrDynamicToolName,
  hasToolCall,
  isDataUIPart,
  isDeepEqualData,
  isToolOrDynamicToolUIPart,
  isToolUIPart,
  jsonSchema2 as jsonSchema,
  lastAssistantMessageIsCompleteWithToolCalls,
  modelMessageSchema,
  parseJsonEventStream3 as parseJsonEventStream,
  parsePartialJson,
  pipeTextStreamToResponse,
  pipeUIMessageStreamToResponse,
  pruneMessages,
  readUIMessageStream,
  safeValidateUIMessages,
  simulateReadableStream,
  simulateStreamingMiddleware,
  smoothStream,
  stepCountIs,
  streamObject,
  streamText,
  systemModelMessageSchema,
  tool2 as tool,
  toolModelMessageSchema,
  uiMessageChunkSchema,
  userModelMessageSchema,
  validateUIMessages,
  wrapLanguageModel,
  wrapProvider,
  zodSchema3 as zodSchema
};
//# sourceMappingURL=index.mjs.map