zhipu-ai-provider/dist/index.mjs.map

Vercel AI SDK Custom Provider for Services from Zhipu (Z.ai)

{"version":3,"sources":["../src/zhipu-provider.ts","../src/zhipu-chat-language-model.ts","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/external.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/index.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/core.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/util.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/errors.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/parse.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/regexes.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/checks.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/doc.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/versions.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/schemas.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/index.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ar.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/az.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/be.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/bg.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ca.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/cs.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/da.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/de.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/en.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/eo.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/es.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/fa.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/fi.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/fr.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/fr-CA.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/he.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/hu.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/hy.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/id.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/is.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/it.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ja.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ka.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/km.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/kh.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ko.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/lt.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/mk.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ms.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/nl.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/no.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ota.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ps.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/pl.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/pt.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ru.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/sl.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/sv.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ta.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/th.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/tr.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/uk.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ua.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/ur.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/uz.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/vi.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/zh-CN.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/zh-TW.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/locales/yo.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/registries.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/api.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/to-json-schema.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/json-schema-processors.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/json-schema-generator.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/core/json-schema.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/schemas.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/checks.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/iso.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/errors.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/parse.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/compat.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/from-json-schema.js","../node_modules/.pnpm/zod@4.3.5/node_modules/zod/v4/classic/coerce.js","../src/convert-to-zhipu-chat-messages.ts","../src/get-response-metadata.ts","../src/map-zhipu-finish-reason.ts","../src/zhipu-error.ts","../src/zhipu-embedding-model.ts","../src/zhipu-image-model.ts","../src/zhipu-image-options.ts"],"sourcesContent":["import {\n  EmbeddingModelV3,\n  ImageModelV3,\n  LanguageModelV3,\n  ProviderV3,\n} from \"@ai-sdk/provider\";\nimport {\n  FetchFunction,\n  loadApiKey,\n  withoutTrailingSlash,\n} from \"@ai-sdk/provider-utils\";\nimport { ZhipuChatLanguageModel } from \"./zhipu-chat-language-model\";\nimport { ZhipuChatModelId, ZhipuChatSettings } from \"./zhipu-chat-settings\";\nimport { ZhipuEmbeddingModel } from \"./zhipu-embedding-model\";\nimport {\n  ZhipuEmbeddingModelId,\n  ZhipuEmbeddingSettings,\n} from \"./zhipu-embedding-settings\";\nimport { ZhipuImageModel } from \"./zhipu-image-model\";\nimport { ZhipuImageModelId } from \"./zhipu-image-options\";\n\nexport interface ZhipuProvider extends ProviderV3 {\n  (modelId: ZhipuChatModelId, settings?: ZhipuChatSettings): LanguageModelV3;\n\n  languageModel(\n    modelId: ZhipuChatModelId,\n    settings?: ZhipuChatSettings,\n  ): LanguageModelV3;\n\n  chat(\n    modelId: ZhipuChatModelId,\n    settings?: ZhipuChatSettings,\n  ): LanguageModelV3;\n\n  /** @deprecated Use embedding or embeddingModel instead */\n  textEmbeddingModel(\n    modelId: ZhipuEmbeddingModelId,\n    settings?: ZhipuEmbeddingSettings,\n  ): EmbeddingModelV3;\n\n  embedding(\n    modelId: ZhipuEmbeddingModelId,\n    settings?: ZhipuEmbeddingSettings,\n  ): EmbeddingModelV3;\n\n  embeddingModel(\n    modelId: ZhipuEmbeddingModelId,\n    settings?: ZhipuEmbeddingSettings,\n  ): EmbeddingModelV3;\n\n  image(modelId: ZhipuImageModelId): ImageModelV3;\n\n  imageModel(modelId: ZhipuImageModelId): ImageModelV3;\n}\n\nexport interface ZhipuProviderSettings {\n  baseURL?: string;\n  apiKey?: string;\n  headers?: Record<string, string>;\n  fetch?: FetchFunction;\n}\n\nexport function createZhipu(\n  options: ZhipuProviderSettings = {},\n): ZhipuProvider {\n  const baseURL =\n    withoutTrailingSlash(options.baseURL) ??\n    \"https://open.bigmodel.cn/api/paas/v4\";\n\n  const getHeaders = () => ({\n    Authorization: `Bearer ${loadApiKey({\n      apiKey: options.apiKey,\n      environmentVariableName: \"ZHIPU_API_KEY\",\n      description: \"ZHIPU API key\",\n    })}`,\n    ...options.headers,\n  });\n\n  const createChatModel = (\n    modelId: ZhipuChatModelId,\n    settings: ZhipuChatSettings = {},\n  ) =>\n    new ZhipuChatLanguageModel(modelId, settings, {\n      provider: \"zhipu.chat\",\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (\n    modelId: ZhipuEmbeddingModelId,\n    settings: ZhipuEmbeddingSettings = {},\n  ) =>\n    new ZhipuEmbeddingModel(modelId, settings, {\n      provider: \"zhipu.embedding\",\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createImageModel = (modelId: ZhipuImageModelId) =>\n    new ZhipuImageModel(modelId, {\n      provider: \"zhipu.image\",\n      url: ({ path }) => `${baseURL}${path}`,\n      headers: getHeaders,\n      fetch: options.fetch,\n      _internal: {\n        currentDate: () => new Date(),\n      },\n    });\n\n  const provider = Object.assign(\n    function (modelId: ZhipuChatModelId, settings?: ZhipuChatSettings) {\n      if (new.target) {\n        throw new Error(\n          \"The Zhipu model function cannot be called with the new keyword.\",\n        );\n      }\n\n      return createChatModel(modelId, settings);\n    } as unknown as ZhipuProvider,\n    {\n      specificationVersion: \"v3\" as const,\n      languageModel: createChatModel,\n      chat: createChatModel,\n      /** @deprecated Use embedding or embeddingModel instead */\n      textEmbeddingModel: createEmbeddingModel,\n      embedding: createEmbeddingModel,\n      embeddingModel: createEmbeddingModel,\n      image: createImageModel,\n      imageModel: createImageModel,\n    },\n  );\n\n  return provider;\n}\n\nexport const zhipu = createZhipu();\nexport const zai = createZhipu({ baseURL: \"https://api.z.ai/api/paas/v4\" });\n","import {\n  InvalidResponseDataError,\n  LanguageModelV3,\n  LanguageModelV3Content,\n  LanguageModelV3FinishReason,\n  LanguageModelV3StreamPart,\n  LanguageModelV3Usage,\n  SharedV3Warning,\n} from \"@ai-sdk/provider\";\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  FetchFunction,\n  generateId,\n  isParsableJson,\n  ParseResult,\n  postJsonToApi,\n} from \"@ai-sdk/provider-utils\";\nimport { z } from \"zod\";\nimport { convertToZhipuChatMessages } from \"./convert-to-zhipu-chat-messages\";\nimport { getResponseMetadata } from \"./get-response-metadata\";\nimport { mapZhipuFinishReason } from \"./map-zhipu-finish-reason\";\nimport { ZhipuChatModelId, ZhipuChatSettings } from \"./zhipu-chat-settings\";\nimport { zhipuFailedResponseHandler } from \"./zhipu-error\";\n\ntype ZhipuChatConfig = {\n  provider: string;\n  baseURL: string;\n  isMultiModel?: boolean;\n  isReasoningModel?: boolean;\n  headers: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n};\n\ntype ZhipuWebSearchResult = z.infer<typeof zhipuWebSearchItemSchema>;\n\nexport class ZhipuChatLanguageModel implements LanguageModelV3 {\n  readonly specificationVersion = \"v3\" as const;\n  readonly supportedUrls: Record<string, RegExp[]> = {\n    \"image/*\": [/^data:image\\/[a-zA-Z]+;base64,/, /^https?:\\/\\/.+$/i],\n    \"video/*\": [/^https?:\\/\\/.+\\.(mp4|webm|ogg)$/i],\n  };\n\n  readonly modelId: ZhipuChatModelId;\n  readonly settings: ZhipuChatSettings;\n\n  private readonly config: ZhipuChatConfig;\n\n  constructor(\n    modelId: ZhipuChatModelId,\n    settings: ZhipuChatSettings,\n    config: ZhipuChatConfig,\n  ) {\n    this.modelId = modelId.toLocaleLowerCase();\n    this.settings = settings;\n    this.config = config;\n    this.config.isMultiModel = this.modelId.includes(\"v\");\n    this.config.isReasoningModel =\n      this.modelId.includes(\"z\") ||\n      this.modelId.includes(\"thinking\") ||\n      settings.thinking?.type === \"enabled\";\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private unsupported(\n    feature: string,\n    details?: string,\n  ): Extract<SharedV3Warning, { type: \"unsupported\" }> {\n    return { type: \"unsupported\", feature, details };\n  }\n\n  private getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences,\n    responseFormat,\n    seed,\n    tools,\n    toolChoice,\n  }: Parameters<LanguageModelV3[\"doGenerate\"]>[0]) {\n    const warnings: SharedV3Warning[] = [];\n\n    if (\n      !this.config.isMultiModel &&\n      prompt.every(\n        (msg) =>\n          msg.role === \"user\" &&\n          !msg.content.every((part) => part.type === \"text\"),\n      )\n    ) {\n      warnings.push({\n        type: \"other\",\n        message: \"Non-vision models does not support message parts\",\n      });\n    }\n\n    if (topK != null) {\n      warnings.push(this.unsupported(\"topK\"));\n    }\n\n    if (frequencyPenalty != null) {\n      warnings.push(this.unsupported(\"frequencyPenalty\"));\n    }\n\n    if (presencePenalty != null) {\n      warnings.push(this.unsupported(\"presencePenalty\"));\n    }\n\n    if (stopSequences != null && this.config.isMultiModel) {\n      warnings.push(\n        this.unsupported(\n          \"stopSequences\",\n          \"Stop sequences are not supported for vision model\",\n        ),\n      );\n    }\n\n    if (stopSequences != null && stopSequences.length > 1) {\n      warnings.push(\n        this.unsupported(\"stopSequences\", \"Only supports one stop sequence\"),\n      );\n    }\n\n    if (seed != null) {\n      warnings.push(this.unsupported(\"seed\"));\n    }\n\n    if (\n      responseFormat &&\n      responseFormat.type === \"json\" &&\n      (this.config.isMultiModel || this.config.isReasoningModel)\n    ) {\n      warnings.push(\n        this.unsupported(\n          \"responseFormat\",\n          \"JSON response format is not supported with vision and reasoning models.\",\n        ),\n      );\n    }\n\n    if (tools && tools.length > 0 && this.config.isMultiModel) {\n      warnings.push(\n        this.unsupported(\n          \"tools\",\n          \"Tools are not supported with vision models.\",\n        ),\n      );\n    }\n\n    if (\n      tools &&\n      tools.length > 0 &&\n      tools.some((tool) => tool.type !== \"function\")\n    ) {\n      warnings.push(\n        this.unsupported(\"tools\", \"Provider-defined tools are not implemented\"),\n      );\n    }\n\n    if (\n      responseFormat &&\n      responseFormat.type === \"json\" &&\n      responseFormat.schema\n    ) {\n      warnings.push(\n        this.unsupported(\n          \"responseFormat\",\n          \"Structured output with schema is not supported, use json response format instead.\",\n        ),\n      );\n    }\n\n    if (toolChoice?.type != null && toolChoice.type !== \"auto\") {\n      warnings.push(\n        this.unsupported(\"toolChoice\", \"Only 'auto' tool choice is supported\"),\n      );\n    }\n\n    const baseArgs = {\n      model: this.modelId,\n      user_id: this.settings.userId,\n      do_sample: this.settings.doSample,\n      request_id: this.settings.requestId,\n      thinking: this.settings.thinking\n        ? {\n            type: this.settings.thinking.type,\n            ...(this.settings.thinking.clearThinking !== undefined && {\n              clear_thinking: this.settings.thinking.clearThinking,\n            }),\n          }\n        : undefined,\n      max_tokens: maxOutputTokens,\n      temperature,\n      top_p: topP,\n      response_format:\n        responseFormat?.type === \"json\" ? { type: \"json_object\" } : undefined,\n      messages: convertToZhipuChatMessages(prompt),\n      tool_choice: \"auto\",\n      tools:\n        tools\n          ?.filter((tool) => tool.type === \"function\")\n          .map((tool) => ({\n            type: \"function\" as const,\n            function: {\n              name: tool.name,\n              description: tool.description ?? undefined,\n              parameters: tool.inputSchema,\n            },\n          })) ?? undefined,\n    };\n\n    return { args: baseArgs, warnings };\n  }\n\n  private mapUsage(\n    usage:\n      | {\n          prompt_tokens: number;\n          completion_tokens?: number | null;\n          total_tokens?: number | null;\n        }\n      | null\n      | undefined,\n  ): LanguageModelV3Usage {\n    return {\n      inputTokens: {\n        total: usage?.prompt_tokens,\n        noCache: undefined,\n        cacheRead: undefined,\n        cacheWrite: undefined,\n      },\n      outputTokens: {\n        total: usage?.completion_tokens ?? undefined,\n        text: usage?.completion_tokens ?? undefined,\n        reasoning: undefined,\n      },\n      raw: usage\n        ? {\n            prompt_tokens: usage.prompt_tokens,\n            completion_tokens: usage.completion_tokens ?? undefined,\n            total_tokens: usage.total_tokens ?? undefined,\n          }\n        : undefined,\n    };\n  }\n\n  private buildSourceContent(\n    webSearch: ZhipuWebSearchResult[] | ZhipuWebSearchResult | null | undefined,\n  ): LanguageModelV3Content[] {\n    const items =\n      webSearch == null\n        ? []\n        : Array.isArray(webSearch)\n          ? webSearch\n          : [webSearch];\n\n    return items.map((item, index) => ({\n      type: \"source\",\n      sourceType: \"url\",\n      id: item.link || `source-${index}`,\n      url: item.link,\n      title: item.title || undefined,\n      providerMetadata: {\n        zhipu: {\n          icon: item.icon,\n          media: item.media,\n          content: item.content,\n        },\n      },\n    }));\n  }\n\n  async doGenerate(\n    options: Parameters<LanguageModelV3[\"doGenerate\"]>[0],\n  ): Promise<Awaited<ReturnType<LanguageModelV3[\"doGenerate\"]>>> {\n    const { args, warnings } = this.getArgs(options);\n    const providerOptions = options.providerOptions || {};\n    const zhipuOptions = providerOptions.zhipu || {};\n    const fullArgs = { ...args, ...zhipuOptions };\n\n    const {\n      value: response,\n      rawValue: rawResponse,\n      responseHeaders,\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: fullArgs,\n      failedResponseHandler: zhipuFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        zhipuChatResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const responseData = response as z.infer<typeof zhipuChatResponseSchema>;\n    const choice = responseData.choices[0];\n    const content: LanguageModelV3Content[] = [];\n    const responseText = choice.message.content;\n    const responseReasoningText = choice.message.reasoning_content;\n\n    if (responseReasoningText) {\n      content.push({\n        type: \"reasoning\",\n        text: responseReasoningText,\n      });\n    }\n\n    if (responseText) {\n      if (this.config.isReasoningModel && responseText.includes(\"<think>\")) {\n        const reasoningText = responseText\n          .split(\"<think>\")[1]\n          ?.split(\"</think>\")[0];\n        const text = responseText.split(\"</think>\")[1];\n\n        if (reasoningText) {\n          content.push({ type: \"reasoning\", text: reasoningText });\n        }\n\n        if (text) {\n          content.push({ type: \"text\", text });\n        }\n      } else {\n        content.push({\n          type: \"text\",\n          text: responseText,\n        });\n      }\n    }\n\n    if (choice.message.tool_calls) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: \"tool-call\",\n          toolCallId: toolCall.id,\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments,\n          providerExecuted: false,\n        });\n      }\n    }\n\n    content.push(...this.buildSourceContent(responseData.web_search));\n\n    return {\n      content,\n      finishReason: mapZhipuFinishReason(choice.finish_reason),\n      usage: this.mapUsage(responseData.usage),\n      request: { body: fullArgs },\n      response: {\n        ...getResponseMetadata(responseData),\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n      warnings,\n    };\n  }\n\n  async doStream(\n    options: Parameters<LanguageModelV3[\"doStream\"]>[0],\n  ): Promise<Awaited<ReturnType<LanguageModelV3[\"doStream\"]>>> {\n    const { args, warnings } = this.getArgs(options);\n    const providerOptions = options.providerOptions || {};\n    const zhipuOptions = providerOptions.zhipu || {};\n    const body = { ...args, ...zhipuOptions, stream: true };\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body,\n      failedResponseHandler: zhipuFailedResponseHandler,\n      successfulResponseHandler:\n        createEventSourceResponseHandler(zhipuChatChunkSchema),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const toolCalls: Array<{\n      id: string;\n      toolName: string;\n      input: string;\n      hasFinished: boolean;\n    }> = [];\n\n    let finishReason: LanguageModelV3FinishReason = {\n      unified: \"other\",\n      raw: undefined,\n    };\n    let usage: LanguageModelV3Usage = this.mapUsage(undefined);\n    let isFirstChunk = true;\n    let isActiveReasoning = false;\n    let isActiveText = false;\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<z.infer<typeof zhipuChatChunkSchema>>,\n          LanguageModelV3StreamPart\n        >({\n          transform(chunk, controller) {\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: \"raw\", rawValue: chunk.rawValue });\n            }\n\n            if (!chunk.success) {\n              finishReason = { unified: \"error\", raw: \"parse_error\" };\n              controller.enqueue({ type: \"error\", error: chunk.error });\n              return;\n            }\n\n            const value = chunk.value;\n\n            if (isFirstChunk) {\n              isFirstChunk = false;\n              controller.enqueue({\n                type: \"stream-start\",\n                warnings,\n              });\n              controller.enqueue({\n                type: \"response-metadata\",\n                ...getResponseMetadata(value),\n              });\n            }\n\n            if (\"error\" in value) {\n              finishReason = { unified: \"error\", raw: \"provider_error\" };\n              controller.enqueue({ type: \"error\", error: value.error });\n              return;\n            }\n\n            if (value.usage != null) {\n              usage = {\n                inputTokens: {\n                  total: value.usage.prompt_tokens ?? undefined,\n                  noCache: undefined,\n                  cacheRead: undefined,\n                  cacheWrite: undefined,\n                },\n                outputTokens: {\n                  total: value.usage.completion_tokens ?? undefined,\n                  text: value.usage.completion_tokens ?? undefined,\n                  reasoning: undefined,\n                },\n                raw: {\n                  prompt_tokens: value.usage.prompt_tokens,\n                  completion_tokens: value.usage.completion_tokens ?? undefined,\n                  total_tokens: value.usage.total_tokens ?? undefined,\n                },\n              };\n            }\n\n            const choice = value.choices[0];\n\n            if (choice?.finish_reason != null) {\n              if (choice.finish_reason === \"network_error\") {\n                finishReason = { unified: \"error\", raw: choice.finish_reason };\n                controller.enqueue({\n                  type: \"error\",\n                  error: new Error(\"Error: Network Error\"),\n                });\n                return;\n              }\n\n              finishReason = mapZhipuFinishReason(choice.finish_reason);\n            }\n\n            if (choice?.delta == null) {\n              return;\n            }\n\n            const delta = choice.delta;\n\n            if (delta.reasoning_content != null) {\n              if (!isActiveReasoning) {\n                controller.enqueue({\n                  type: \"reasoning-start\",\n                  id: \"reasoning-0\",\n                });\n                isActiveReasoning = true;\n              }\n\n              controller.enqueue({\n                id: \"reasoning-0\",\n                type: \"reasoning-delta\",\n                delta: delta.reasoning_content,\n              });\n            }\n\n            if (delta.content != null) {\n              if (!isActiveText) {\n                controller.enqueue({ type: \"text-start\", id: \"txt-0\" });\n                isActiveText = true;\n              }\n\n              controller.enqueue({\n                id: \"txt-0\",\n                type: \"text-delta\",\n                delta: delta.content,\n              });\n            }\n\n            if (delta.tool_calls != null) {\n              for (const toolCallDelta of delta.tool_calls) {\n                const index = toolCallDelta.index;\n\n                if (toolCalls[index] == null) {\n                  if (toolCallDelta.id == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'id' to be a string.`,\n                    });\n                  }\n\n                  if (toolCallDelta.function?.name == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function.name' to be a string.`,\n                    });\n                  }\n\n                  toolCalls[index] = {\n                    id: toolCallDelta.id,\n                    toolName: toolCallDelta.function.name,\n                    input: toolCallDelta.function.arguments ?? \"\",\n                    hasFinished: false,\n                  };\n\n                  controller.enqueue({\n                    type: \"tool-input-start\",\n                    id: toolCallDelta.id,\n                    toolName: toolCallDelta.function.name,\n                    providerExecuted: false,\n                  });\n\n                  if (toolCallDelta.function.arguments) {\n                    controller.enqueue({\n                      type: \"tool-input-delta\",\n                      id: toolCallDelta.id,\n                      delta: toolCallDelta.function.arguments,\n                    });\n                  }\n\n                  if (isParsableJson(toolCalls[index].input)) {\n                    controller.enqueue({\n                      type: \"tool-input-end\",\n                      id: toolCalls[index].id,\n                    });\n                    controller.enqueue({\n                      type: \"tool-call\",\n                      toolCallId: toolCalls[index].id ?? generateId(),\n                      toolName: toolCalls[index].toolName,\n                      input: toolCalls[index].input,\n                    });\n                    toolCalls[index].hasFinished = true;\n                  }\n\n                  continue;\n                }\n\n                const toolCall = toolCalls[index];\n\n                if (toolCall.hasFinished) {\n                  continue;\n                }\n\n                if (toolCallDelta.function?.arguments != null) {\n                  toolCall.input += toolCallDelta.function.arguments;\n                }\n\n                controller.enqueue({\n                  type: \"tool-input-delta\",\n                  id: toolCall.id,\n                  delta: toolCallDelta.function?.arguments ?? \"\",\n                });\n\n                if (isParsableJson(toolCall.input)) {\n                  controller.enqueue({\n                    type: \"tool-input-end\",\n                    id: toolCall.id,\n                  });\n                  controller.enqueue({\n                    type: \"tool-call\",\n                    toolCallId: toolCall.id ?? generateId(),\n                    toolName: toolCall.toolName,\n                    input: toolCall.input,\n                  });\n                  toolCall.hasFinished = true;\n                }\n              }\n            }\n\n            const sources = Array.isArray(value.web_search)\n              ? value.web_search\n              : value.web_search != null\n                ? [value.web_search]\n                : [];\n\n            for (const [index, source] of sources.entries()) {\n              controller.enqueue({\n                type: \"source\",\n                sourceType: \"url\",\n                id: source.link || `source-${index}`,\n                url: source.link,\n                title: source.title || undefined,\n                providerMetadata: {\n                  zhipu: {\n                    icon: source.icon,\n                    media: source.media,\n                    content: source.content,\n                  },\n                },\n              });\n            }\n          },\n          flush(controller) {\n            if (isActiveReasoning) {\n              controller.enqueue({\n                type: \"reasoning-end\",\n                id: \"reasoning-0\",\n              });\n            }\n\n            if (isActiveText) {\n              controller.enqueue({\n                type: \"text-end\",\n                id: \"txt-0\",\n              });\n            }\n\n            controller.enqueue({\n              type: \"finish\",\n              finishReason,\n              usage,\n            });\n          },\n        }),\n      ),\n      request: { body },\n      response: { headers: responseHeaders },\n    };\n  }\n}\n\nconst zhipuWebSearchItemSchema = z.object({\n  icon: z.string().catch(\"\"),\n  title: z.string().catch(\"\"),\n  link: z.string().catch(\"\"),\n  media: z.string().catch(\"\"),\n  content: z.string().catch(\"\"),\n});\n\nconst zhipuChatResponseSchema = z.object({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      message: z.object({\n        role: z.literal(\"assistant\"),\n        content: z.string().nullish(),\n        reasoning_content: z.string().nullish(),\n        tool_calls: z\n          .array(\n            z.object({\n              id: z.string(),\n              index: z.number().nullish(),\n              type: z.literal(\"function\"),\n              function: z.object({ name: z.string(), arguments: z.string() }),\n            }),\n          )\n          .nullish(),\n      }),\n      index: z.number(),\n      finish_reason: z.string().nullish(),\n    }),\n  ),\n  usage: z.object({\n    prompt_tokens: z.number(),\n    completion_tokens: z.number().nullish(),\n    total_tokens: z.number().nullish(),\n  }),\n  web_search: z\n    .union([zhipuWebSearchItemSchema, z.array(zhipuWebSearchItemSchema)])\n    .nullish(),\n});\n\nconst zhipuChatChunkSchema = z.object({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      delta: z.object({\n        role: z.enum([\"assistant\"]).optional(),\n        content: z.string().nullish(),\n        reasoning_content: z.string().nullish(),\n        tool_calls: z\n          .array(\n            z.object({\n              id: z.string().optional(),\n              index: z.number(),\n              type: z.literal(\"function\").optional(),\n              function: z\n                .object({\n                  name: z.string().optional(),\n                  arguments: z.string().optional(),\n                })\n                .optional(),\n            }),\n          )\n          .nullish(),\n      }),\n      finish_reason: z.string().nullish(),\n      index: z.number(),\n    }),\n  ),\n  usage: z\n    .object({\n      prompt_tokens: z.number(),\n      completion_tokens: z.number().nullish(),\n      total_tokens: z.number().nullish(),\n    })\n    .nullish(),\n  web_search: z\n    .union([zhipuWebSearchItemSchema, z.array(zhipuWebSearchItemSchema)])\n    .nullish(),\n});\n","export * as core from \"../core/index.js\";\nexport * from \"./schemas.js\";\nexport * from \"./checks.js\";\nexport * from \"./errors.js\";\nexport * from \"./parse.js\";\nexport * from \"./compat.js\";\n// zod-specified\nimport { config } from \"../core/index.js\";\nimport en from \"../locales/en.js\";\nconfig(en());\nexport { globalRegistry, registry, config, $output, $input, $brand, clone, regexes, treeifyError, prettifyError, formatError, flattenError, TimePrecision, util, NEVER, } from \"../core/index.js\";\nexport { toJSONSchema } from \"../core/json-schema-processors.js\";\nexport { fromJSONSchema } from \"./from-json-schema.js\";\nexport * as locales from \"../locales/index.js\";\n// iso\n// must be exported from top-level\n// https://github.com/colinhacks/zod/issues/4491\nexport { ZodISODateTime, ZodISODate, ZodISOTime, ZodISODuration } from \"./iso.js\";\nexport * as iso from \"./iso.js\";\nexport * as coerce from \"./coerce.js\";\n","export * from \"./core.js\";\nexport * from \"./parse.js\";\nexport * from \"./errors.js\";\nexport * from \"./schemas.js\";\nexport * from \"./checks.js\";\nexport * from \"./versions.js\";\nexport * as util from \"./util.js\";\nexport * as regexes from \"./regexes.js\";\nexport * as locales from \"../locales/index.js\";\nexport * from \"./registries.js\";\nexport * from \"./doc.js\";\nexport * from \"./api.js\";\nexport * from \"./to-json-schema.js\";\nexport { toJSONSchema } from \"./json-schema-processors.js\";\nexport { JSONSchemaGenerator } from \"./json-schema-generator.js\";\nexport * as JSONSchema from \"./json-schema.js\";\n","/** A special constant with type `never` */\nexport const NEVER = Object.freeze({\n    status: \"aborted\",\n});\nexport /*@__NO_SIDE_EFFECTS__*/ function $constructor(name, initializer, params) {\n    function init(inst, def) {\n        if (!inst._zod) {\n            Object.defineProperty(inst, \"_zod\", {\n                value: {\n                    def,\n                    constr: _,\n                    traits: new Set(),\n                },\n                enumerable: false,\n            });\n        }\n        if (inst._zod.traits.has(name)) {\n            return;\n        }\n        inst._zod.traits.add(name);\n        initializer(inst, def);\n        // support prototype modifications\n        const proto = _.prototype;\n        const keys = Object.keys(proto);\n        for (let i = 0; i < keys.length; i++) {\n            const k = keys[i];\n            if (!(k in inst)) {\n                inst[k] = proto[k].bind(inst);\n            }\n        }\n    }\n    // doesn't work if Parent has a constructor with arguments\n    const Parent = params?.Parent ?? Object;\n    class Definition extends Parent {\n    }\n    Object.defineProperty(Definition, \"name\", { value: name });\n    function _(def) {\n        var _a;\n        const inst = params?.Parent ? new Definition() : this;\n        init(inst, def);\n        (_a = inst._zod).deferred ?? (_a.deferred = []);\n        for (const fn of inst._zod.deferred) {\n            fn();\n        }\n        return inst;\n    }\n    Object.defineProperty(_, \"init\", { value: init });\n    Object.defineProperty(_, Symbol.hasInstance, {\n        value: (inst) => {\n            if (params?.Parent && inst instanceof params.Parent)\n                return true;\n            return inst?._zod?.traits?.has(name);\n        },\n    });\n    Object.defineProperty(_, \"name\", { value: name });\n    return _;\n}\n//////////////////////////////   UTILITIES   ///////////////////////////////////////\nexport const $brand = Symbol(\"zod_brand\");\nexport class $ZodAsyncError extends Error {\n    constructor() {\n        super(`Encountered Promise during synchronous parse. Use .parseAsync() instead.`);\n    }\n}\nexport class $ZodEncodeError extends Error {\n    constructor(name) {\n        super(`Encountered unidirectional transform during encode: ${name}`);\n        this.name = \"ZodEncodeError\";\n    }\n}\nexport const globalConfig = {};\nexport function config(newConfig) {\n    if (newConfig)\n        Object.assign(globalConfig, newConfig);\n    return globalConfig;\n}\n","// functions\nexport function assertEqual(val) {\n    return val;\n}\nexport function assertNotEqual(val) {\n    return val;\n}\nexport function assertIs(_arg) { }\nexport function assertNever(_x) {\n    throw new Error(\"Unexpected value in exhaustive check\");\n}\nexport function assert(_) { }\nexport function getEnumValues(entries) {\n    const numericValues = Object.values(entries).filter((v) => typeof v === \"number\");\n    const values = Object.entries(entries)\n        .filter(([k, _]) => numericValues.indexOf(+k) === -1)\n        .map(([_, v]) => v);\n    return values;\n}\nexport function joinValues(array, separator = \"|\") {\n    return array.map((val) => stringifyPrimitive(val)).join(separator);\n}\nexport function jsonStringifyReplacer(_, value) {\n    if (typeof value === \"bigint\")\n        return value.toString();\n    return value;\n}\nexport function cached(getter) {\n    const set = false;\n    return {\n        get value() {\n            if (!set) {\n                const value = getter();\n                Object.defineProperty(this, \"value\", { value });\n                return value;\n            }\n            throw new Error(\"cached value already set\");\n        },\n    };\n}\nexport function nullish(input) {\n    return input === null || input === undefined;\n}\nexport function cleanRegex(source) {\n    const start = source.startsWith(\"^\") ? 1 : 0;\n    const end = source.endsWith(\"$\") ? source.length - 1 : source.length;\n    return source.slice(start, end);\n}\nexport function floatSafeRemainder(val, step) {\n    const valDecCount = (val.toString().split(\".\")[1] || \"\").length;\n    const stepString = step.toString();\n    let stepDecCount = (stepString.split(\".\")[1] || \"\").length;\n    if (stepDecCount === 0 && /\\d?e-\\d?/.test(stepString)) {\n        const match = stepString.match(/\\d?e-(\\d?)/);\n        if (match?.[1]) {\n            stepDecCount = Number.parseInt(match[1]);\n        }\n    }\n    const decCount = valDecCount > stepDecCount ? valDecCount : stepDecCount;\n    const valInt = Number.parseInt(val.toFixed(decCount).replace(\".\", \"\"));\n    const stepInt = Number.parseInt(step.toFixed(decCount).replace(\".\", \"\"));\n    return (valInt % stepInt) / 10 ** decCount;\n}\nconst EVALUATING = Symbol(\"evaluating\");\nexport function defineLazy(object, key, getter) {\n    let value = undefined;\n    Object.defineProperty(object, key, {\n        get() {\n            if (value === EVALUATING) {\n                // Circular reference detected, return undefined to break the cycle\n                return undefined;\n            }\n            if (value === undefined) {\n                value = EVALUATING;\n                value = getter();\n            }\n            return value;\n        },\n        set(v) {\n            Object.defineProperty(object, key, {\n                value: v,\n                // configurable: true,\n            });\n            // object[key] = v;\n        },\n        configurable: true,\n    });\n}\nexport function objectClone(obj) {\n    return Object.create(Object.getPrototypeOf(obj), Object.getOwnPropertyDescriptors(obj));\n}\nexport function assignProp(target, prop, value) {\n    Object.defineProperty(target, prop, {\n        value,\n        writable: true,\n        enumerable: true,\n        configurable: true,\n    });\n}\nexport function mergeDefs(...defs) {\n    const mergedDescriptors = {};\n    for (const def of defs) {\n        const descriptors = Object.getOwnPropertyDescriptors(def);\n        Object.assign(mergedDescriptors, descriptors);\n    }\n    return Object.defineProperties({}, mergedDescriptors);\n}\nexport function cloneDef(schema) {\n    return mergeDefs(schema._zod.def);\n}\nexport function getElementAtPath(obj, path) {\n    if (!path)\n        return obj;\n    return path.reduce((acc, key) => acc?.[key], obj);\n}\nexport function promiseAllObject(promisesObj) {\n    const keys = Object.keys(promisesObj);\n    const promises = keys.map((key) => promisesObj[key]);\n    return Promise.all(promises).then((results) => {\n        const resolvedObj = {};\n        for (let i = 0; i < keys.length; i++) {\n            resolvedObj[keys[i]] = results[i];\n        }\n        return resolvedObj;\n    });\n}\nexport function randomString(length = 10) {\n    const chars = \"abcdefghijklmnopqrstuvwxyz\";\n    let str = \"\";\n    for (let i = 0; i < length; i++) {\n        str += chars[Math.floor(Math.random() * chars.length)];\n    }\n    return str;\n}\nexport function esc(str) {\n    return JSON.stringify(str);\n}\nexport function slugify(input) {\n    return input\n        .toLowerCase()\n        .trim()\n        .replace(/[^\\w\\s-]/g, \"\")\n        .replace(/[\\s_-]+/g, \"-\")\n        .replace(/^-+|-+$/g, \"\");\n}\nexport const captureStackTrace = (\"captureStackTrace\" in Error ? Error.captureStackTrace : (..._args) => { });\nexport function isObject(data) {\n    return typeof data === \"object\" && data !== null && !Array.isArray(data);\n}\nexport const allowsEval = cached(() => {\n    // @ts-ignore\n    if (typeof navigator !== \"undefined\" && navigator?.userAgent?.includes(\"Cloudflare\")) {\n        return false;\n    }\n    try {\n        const F = Function;\n        new F(\"\");\n        return true;\n    }\n    catch (_) {\n        return false;\n    }\n});\nexport function isPlainObject(o) {\n    if (isObject(o) === false)\n        return false;\n    // modified constructor\n    const ctor = o.constructor;\n    if (ctor === undefined)\n        return true;\n    if (typeof ctor !== \"function\")\n        return true;\n    // modified prototype\n    const prot = ctor.prototype;\n    if (isObject(prot) === false)\n        return false;\n    // ctor doesn't have static `isPrototypeOf`\n    if (Object.prototype.hasOwnProperty.call(prot, \"isPrototypeOf\") === false) {\n        return false;\n    }\n    return true;\n}\nexport function shallowClone(o) {\n    if (isPlainObject(o))\n        return { ...o };\n    if (Array.isArray(o))\n        return [...o];\n    return o;\n}\nexport function numKeys(data) {\n    let keyCount = 0;\n    for (const key in data) {\n        if (Object.prototype.hasOwnProperty.call(data, key)) {\n            keyCount++;\n        }\n    }\n    return keyCount;\n}\nexport const getParsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"undefined\":\n            return \"undefined\";\n        case \"string\":\n            return \"string\";\n        case \"number\":\n            return Number.isNaN(data) ? \"nan\" : \"number\";\n        case \"boolean\":\n            return \"boolean\";\n        case \"function\":\n            return \"function\";\n        case \"bigint\":\n            return \"bigint\";\n        case \"symbol\":\n            return \"symbol\";\n        case \"object\":\n            if (Array.isArray(data)) {\n                return \"array\";\n            }\n            if (data === null) {\n                return \"null\";\n            }\n            if (data.then && typeof data.then === \"function\" && data.catch && typeof data.catch === \"function\") {\n                return \"promise\";\n            }\n            if (typeof Map !== \"undefined\" && data instanceof Map) {\n                return \"map\";\n            }\n            if (typeof Set !== \"undefined\" && data instanceof Set) {\n                return \"set\";\n            }\n            if (typeof Date !== \"undefined\" && data instanceof Date) {\n                return \"date\";\n            }\n            // @ts-ignore\n            if (typeof File !== \"undefined\" && data instanceof File) {\n                return \"file\";\n            }\n            return \"object\";\n        default:\n            throw new Error(`Unknown data type: ${t}`);\n    }\n};\nexport const propertyKeyTypes = new Set([\"string\", \"number\", \"symbol\"]);\nexport const primitiveTypes = new Set([\"string\", \"number\", \"bigint\", \"boolean\", \"symbol\", \"undefined\"]);\nexport function escapeRegex(str) {\n    return str.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n}\n// zod-specific utils\nexport function clone(inst, def, params) {\n    const cl = new inst._zod.constr(def ?? inst._zod.def);\n    if (!def || params?.parent)\n        cl._zod.parent = inst;\n    return cl;\n}\nexport function normalizeParams(_params) {\n    const params = _params;\n    if (!params)\n        return {};\n    if (typeof params === \"string\")\n        return { error: () => params };\n    if (params?.message !== undefined) {\n        if (params?.error !== undefined)\n            throw new Error(\"Cannot specify both `message` and `error` params\");\n        params.error = params.message;\n    }\n    delete params.message;\n    if (typeof params.error === \"string\")\n        return { ...params, error: () => params.error };\n    return params;\n}\nexport function createTransparentProxy(getter) {\n    let target;\n    return new Proxy({}, {\n        get(_, prop, receiver) {\n            target ?? (target = getter());\n            return Reflect.get(target, prop, receiver);\n        },\n        set(_, prop, value, receiver) {\n            target ?? (target = getter());\n            return Reflect.set(target, prop, value, receiver);\n        },\n        has(_, prop) {\n            target ?? (target = getter());\n            return Reflect.has(target, prop);\n        },\n        deleteProperty(_, prop) {\n            target ?? (target = getter());\n            return Reflect.deleteProperty(target, prop);\n        },\n        ownKeys(_) {\n            target ?? (target = getter());\n            return Reflect.ownKeys(target);\n        },\n        getOwnPropertyDescriptor(_, prop) {\n            target ?? (target = getter());\n            return Reflect.getOwnPropertyDescriptor(target, prop);\n        },\n        defineProperty(_, prop, descriptor) {\n            target ?? (target = getter());\n            return Reflect.defineProperty(target, prop, descriptor);\n        },\n    });\n}\nexport function stringifyPrimitive(value) {\n    if (typeof value === \"bigint\")\n        return value.toString() + \"n\";\n    if (typeof value === \"string\")\n        return `\"${value}\"`;\n    return `${value}`;\n}\nexport function optionalKeys(shape) {\n    return Object.keys(shape).filter((k) => {\n        return shape[k]._zod.optin === \"optional\" && shape[k]._zod.optout === \"optional\";\n    });\n}\nexport const NUMBER_FORMAT_RANGES = {\n    safeint: [Number.MIN_SAFE_INTEGER, Number.MAX_SAFE_INTEGER],\n    int32: [-2147483648, 2147483647],\n    uint32: [0, 4294967295],\n    float32: [-3.4028234663852886e38, 3.4028234663852886e38],\n    float64: [-Number.MAX_VALUE, Number.MAX_VALUE],\n};\nexport const BIGINT_FORMAT_RANGES = {\n    int64: [/* @__PURE__*/ BigInt(\"-9223372036854775808\"), /* @__PURE__*/ BigInt(\"9223372036854775807\")],\n    uint64: [/* @__PURE__*/ BigInt(0), /* @__PURE__*/ BigInt(\"18446744073709551615\")],\n};\nexport function pick(schema, mask) {\n    const currDef = schema._zod.def;\n    const checks = currDef.checks;\n    const hasChecks = checks && checks.length > 0;\n    if (hasChecks) {\n        throw new Error(\".pick() cannot be used on object schemas containing refinements\");\n    }\n    const def = mergeDefs(schema._zod.def, {\n        get shape() {\n            const newShape = {};\n            for (const key in mask) {\n                if (!(key in currDef.shape)) {\n                    throw new Error(`Unrecognized key: \"${key}\"`);\n                }\n                if (!mask[key])\n                    continue;\n                newShape[key] = currDef.shape[key];\n            }\n            assignProp(this, \"shape\", newShape); // self-caching\n            return newShape;\n        },\n        checks: [],\n    });\n    return clone(schema, def);\n}\nexport function omit(schema, mask) {\n    const currDef = schema._zod.def;\n    const checks = currDef.checks;\n    const hasChecks = checks && checks.length > 0;\n    if (hasChecks) {\n        throw new Error(\".omit() cannot be used on object schemas containing refinements\");\n    }\n    const def = mergeDefs(schema._zod.def, {\n        get shape() {\n            const newShape = { ...schema._zod.def.shape };\n            for (const key in mask) {\n                if (!(key in currDef.shape)) {\n                    throw new Error(`Unrecognized key: \"${key}\"`);\n                }\n                if (!mask[key])\n                    continue;\n                delete newShape[key];\n            }\n            assignProp(this, \"shape\", newShape); // self-caching\n            return newShape;\n        },\n        checks: [],\n    });\n    return clone(schema, def);\n}\nexport function extend(schema, shape) {\n    if (!isPlainObject(shape)) {\n        throw new Error(\"Invalid input to extend: expected a plain object\");\n    }\n    const checks = schema._zod.def.checks;\n    const hasChecks = checks && checks.length > 0;\n    if (hasChecks) {\n        // Only throw if new shape overlaps with existing shape\n        // Use getOwnPropertyDescriptor to check key existence without accessing values\n        const existingShape = schema._zod.def.shape;\n        for (const key in shape) {\n            if (Object.getOwnPropertyDescriptor(existingShape, key) !== undefined) {\n                throw new Error(\"Cannot overwrite keys on object schemas containing refinements. Use `.safeExtend()` instead.\");\n            }\n        }\n    }\n    const def = mergeDefs(schema._zod.def, {\n        get shape() {\n            const _shape = { ...schema._zod.def.shape, ...shape };\n            assignProp(this, \"sha