MCP Cloudflare DNS Server

{"version":3,"sources":["../ai-state.tsx","../../util/create-resolvable-promise.ts","../../util/is-function.ts","../provider.tsx","../stream-ui/stream-ui.tsx","../../util/download-error.ts","../../util/download.ts","../../core/util/detect-mimetype.ts","../../core/prompt/data-content.ts","../../core/prompt/invalid-data-content-error.ts","../../core/prompt/invalid-message-role-error.ts","../../core/prompt/split-data-url.ts","../../core/prompt/convert-to-language-model-prompt.ts","../../errors/invalid-argument-error.ts","../../core/prompt/prepare-call-settings.ts","../../util/retry-with-exponential-backoff.ts","../../util/retry-error.ts","../../core/prompt/prepare-retries.ts","../../core/prompt/prepare-tools-and-tool-choice.ts","../../core/util/is-non-empty-object.ts","../../core/prompt/standardize-prompt.ts","../../core/prompt/attachments-to-parts.ts","../../core/prompt/message-conversion-error.ts","../../core/prompt/convert-to-core-messages.ts","../../core/prompt/message.ts","../../core/types/provider-metadata.ts","../../core/types/json-value.ts","../../core/prompt/content-part.ts","../../core/prompt/tool-result-content.ts","../../core/types/usage.ts","../../errors/invalid-tool-arguments-error.ts","../../errors/no-such-tool-error.ts","../../util/is-async-generator.ts","../../util/is-generator.ts","../../util/constants.ts","../streamable-ui/create-suspended-chunk.tsx","../streamable-ui/create-streamable-ui.tsx","../streamable-value/streamable-value.ts","../streamable-value/create-streamable-value.ts"],"sourcesContent":["import * as jsondiffpatch from 'jsondiffpatch';\nimport { AsyncLocalStorage } from 'node:async_hooks';\nimport { createResolvablePromise } from '../util/create-resolvable-promise';\nimport { isFunction } from '../util/is-function';\nimport type {\n AIProvider,\n InferAIState,\n InternalAIStateStorageOptions,\n MutableAIState,\n ValueOrUpdater,\n} from './types';\n\n// It is possible that multiple AI requests get in concurrently, for different\n// AI instances. So ALS is necessary here for a simpler API.\nconst asyncAIStateStorage = new AsyncLocalStorage<{\n currentState: any;\n originalState: any;\n sealed: boolean;\n options: InternalAIStateStorageOptions;\n mutationDeltaPromise?: Promise<any>;\n mutationDeltaResolve?: (v: any) => void;\n}>();\n\nfunction getAIStateStoreOrThrow(message: string) {\n const store = asyncAIStateStorage.getStore();\n if (!store) {\n throw new Error(message);\n }\n return store;\n}\n\nexport function withAIState<S, T>(\n { state, options }: { state: S; options: InternalAIStateStorageOptions },\n fn: () => T,\n): T {\n return asyncAIStateStorage.run(\n {\n currentState: JSON.parse(JSON.stringify(state)), // deep clone object\n originalState: state,\n sealed: false,\n options,\n },\n fn,\n );\n}\n\nexport function getAIStateDeltaPromise() {\n const store = getAIStateStoreOrThrow('Internal error occurred.');\n return store.mutationDeltaPromise;\n}\n\n// Internal method. This will be called after the AI Action has been returned\n// and you can no longer call `getMutableAIState()` inside any async callbacks\n// created by that Action.\nexport function sealMutableAIState() {\n const store = getAIStateStoreOrThrow('Internal error occurred.');\n store.sealed = true;\n}\n\n/**\n * Get the current AI state.\n * If `key` is provided, it will return the value of the specified key in the\n * AI state, if it's an object. If it's not an object, it will throw an error.\n *\n * @example const state = getAIState() // Get the entire AI state\n * @example const field = getAIState('key') // Get the value of the key\n */\nfunction getAIState<AI extends AIProvider = any>(): Readonly<\n InferAIState<AI, any>\n>;\nfunction getAIState<AI extends AIProvider = any>(\n key: keyof InferAIState<AI, any>,\n): Readonly<InferAIState<AI, any>[typeof key]>;\nfunction getAIState<AI extends AIProvider = any>(\n ...args: [] | [key: keyof InferAIState<AI, any>]\n) {\n const store = getAIStateStoreOrThrow(\n '`getAIState` must be called within an AI Action.',\n );\n\n if (args.length > 0) {\n const key = args[0];\n if (typeof store.currentState !== 'object') {\n throw new Error(\n `You can't get the \"${String(\n key,\n )}\" field from the AI state because it's not an object.`,\n );\n }\n return store.currentState[key as keyof typeof store.currentState];\n }\n\n return store.currentState;\n}\n\n/**\n * Get the mutable AI state. Note that you must call `.done()` when finishing\n * updating the AI state.\n *\n * @example\n * ```tsx\n * const state = getMutableAIState()\n * state.update({ ...state.get(), key: 'value' })\n * state.update((currentState) => ({ ...currentState, key: 'value' }))\n * state.done()\n * ```\n *\n * @example\n * ```tsx\n * const state = getMutableAIState()\n * state.done({ ...state.get(), key: 'value' }) // Done with a new state\n * ```\n */\nfunction getMutableAIState<AI extends AIProvider = any>(): MutableAIState<\n InferAIState<AI, any>\n>;\nfunction getMutableAIState<AI extends AIProvider = any>(\n key: keyof InferAIState<AI, any>,\n): MutableAIState<InferAIState<AI, any>[typeof key]>;\nfunction getMutableAIState<AI extends AIProvider = any>(\n ...args: [] | [key: keyof InferAIState<AI, any>]\n) {\n type AIState = InferAIState<AI, any>;\n type AIStateWithKey = typeof args extends [key: keyof AIState]\n ? AIState[(typeof args)[0]]\n : AIState;\n type NewStateOrUpdater = ValueOrUpdater<AIStateWithKey>;\n\n const store = getAIStateStoreOrThrow(\n '`getMutableAIState` must be called within an AI Action.',\n );\n\n if (store.sealed) {\n throw new Error(\n \"`getMutableAIState` must be called before returning from an AI Action. Please move it to the top level of the Action's function body.\",\n );\n }\n\n if (!store.mutationDeltaPromise) {\n const { promise, resolve } = createResolvablePromise();\n store.mutationDeltaPromise = promise;\n store.mutationDeltaResolve = resolve;\n }\n\n function doUpdate(newState: NewStateOrUpdater, done: boolean) {\n if (args.length > 0) {\n if (typeof store.currentState !== 'object') {\n const key = args[0];\n throw new Error(\n `You can't modify the \"${String(\n key,\n )}\" field of the AI state because it's not an object.`,\n );\n }\n }\n\n if (isFunction(newState)) {\n if (args.length > 0) {\n store.currentState[args[0]] = newState(store.currentState[args[0]]);\n } else {\n store.currentState = newState(store.currentState);\n }\n } else {\n if (args.length > 0) {\n store.currentState[args[0]] = newState;\n } else {\n store.currentState = newState;\n }\n }\n\n store.options.onSetAIState?.({\n key: args.length > 0 ? args[0] : undefined,\n state: store.currentState,\n done,\n });\n }\n\n const mutableState = {\n get: () => {\n if (args.length > 0) {\n const key = args[0];\n if (typeof store.currentState !== 'object') {\n throw new Error(\n `You can't get the \"${String(\n key,\n )}\" field from the AI state because it's not an object.`,\n );\n }\n return store.currentState[key] as Readonly<AIStateWithKey>;\n }\n\n return store.currentState as Readonly<AIState>;\n },\n update: function update(newAIState: NewStateOrUpdater) {\n doUpdate(newAIState, false);\n },\n done: function done(...doneArgs: [] | [NewStateOrUpdater]) {\n if (doneArgs.length > 0) {\n doUpdate(doneArgs[0] as NewStateOrUpdater, true);\n }\n\n const delta = jsondiffpatch.diff(store.originalState, store.currentState);\n store.mutationDeltaResolve!(delta);\n },\n };\n\n return mutableState;\n}\n\nexport { getAIState, getMutableAIState };\n","/**\n * Creates a Promise with externally accessible resolve and reject functions.\n *\n * @template T - The type of the value that the Promise will resolve to.\n * @returns An object containing:\n * - promise: A Promise that can be resolved or rejected externally.\n * - resolve: A function to resolve the Promise with a value of type T.\n * - reject: A function to reject the Promise with an error.\n */\nexport function createResolvablePromise<T = any>(): {\n promise: Promise<T>;\n resolve: (value: T) => void;\n reject: (error: unknown) => void;\n} {\n let resolve: (value: T) => void;\n let reject: (error: unknown) => void;\n\n const promise = new Promise<T>((res, rej) => {\n resolve = res;\n reject = rej;\n });\n\n return {\n promise,\n resolve: resolve!,\n reject: reject!,\n };\n}\n","/**\n * Checks if the given value is a function.\n *\n * @param {unknown} value - The value to check.\n * @returns {boolean} True if the value is a function, false otherwise.\n */\nexport const isFunction = (value: unknown): value is Function =>\n typeof value === 'function';\n","// This file provides the AI context to all AI Actions via AsyncLocalStorage.\n\nimport * as React from 'react';\nimport { InternalAIProvider } from './rsc-shared.mjs';\nimport {\n withAIState,\n getAIStateDeltaPromise,\n sealMutableAIState,\n} from './ai-state';\nimport type {\n ServerWrappedActions,\n AIAction,\n AIActions,\n AIProvider,\n InternalAIStateStorageOptions,\n OnSetAIState,\n OnGetUIState,\n} from './types';\n\nasync function innerAction<T>(\n {\n action,\n options,\n }: { action: AIAction; options: InternalAIStateStorageOptions },\n state: T,\n ...args: unknown[]\n) {\n 'use server';\n return await withAIState(\n {\n state,\n options,\n },\n async () => {\n const result = await action(...args);\n sealMutableAIState();\n return [getAIStateDeltaPromise() as Promise<T>, result];\n },\n );\n}\n\nfunction wrapAction<T = unknown>(\n action: AIAction,\n options: InternalAIStateStorageOptions,\n) {\n return innerAction.bind(null, { action, options }) as AIAction<T>;\n}\n\nexport function createAI<\n AIState = any,\n UIState = any,\n Actions extends AIActions = {},\n>({\n actions,\n initialAIState,\n initialUIState,\n\n onSetAIState,\n onGetUIState,\n}: {\n actions: Actions;\n initialAIState?: AIState;\n initialUIState?: UIState;\n\n /**\n * This function is called whenever the AI state is updated by an Action.\n * You can use this to persist the AI state to a database, or to send it to a\n * logging service.\n */\n onSetAIState?: OnSetAIState<AIState>;\n\n /**\n * This function is used to retrieve the UI state based on the AI state.\n * For example, to render the initial UI state based on a given AI state, or\n * to sync the UI state when the application is already loaded.\n *\n * If returning `undefined`, the client side UI state will not be updated.\n *\n * This function must be annotated with the `\"use server\"` directive.\n *\n * @example\n * ```tsx\n * onGetUIState: async () => {\n * 'use server';\n *\n * const currentAIState = getAIState();\n * const externalAIState = await loadAIStateFromDatabase();\n *\n * if (currentAIState === externalAIState) return undefined;\n *\n * // Update current AI state and return the new UI state\n * const state = getMutableAIState()\n * state.done(externalAIState)\n *\n * return <div>...</div>;\n * }\n * ```\n */\n onGetUIState?: OnGetUIState<UIState>;\n}) {\n // Wrap all actions with our HoC.\n const wrappedActions: ServerWrappedActions = {};\n for (const name in actions) {\n wrappedActions[name] = wrapAction(actions[name], {\n onSetAIState,\n });\n }\n\n const wrappedSyncUIState = onGetUIState\n ? wrapAction(onGetUIState, {})\n : undefined;\n\n const AI: AIProvider<AIState, UIState, Actions> = async props => {\n if ('useState' in React) {\n // This file must be running on the React Server layer.\n // Ideally we should be using `import \"server-only\"` here but we can have a\n // more customized error message with this implementation.\n throw new Error(\n 'This component can only be used inside Server Components.',\n );\n }\n\n let uiState = props.initialUIState ?? initialUIState;\n let aiState = props.initialAIState ?? initialAIState;\n let aiStateDelta = undefined;\n\n if (wrappedSyncUIState) {\n const [newAIStateDelta, newUIState] = await wrappedSyncUIState(aiState);\n if (newUIState !== undefined) {\n aiStateDelta = newAIStateDelta;\n uiState = newUIState;\n }\n }\n\n return (\n <InternalAIProvider\n wrappedActions={wrappedActions}\n wrappedSyncUIState={wrappedSyncUIState}\n initialUIState={uiState}\n initialAIState={aiState}\n initialAIStatePatch={aiStateDelta}\n >\n {props.children}\n </InternalAIProvider>\n );\n };\n\n return AI;\n}\n","import { LanguageModelV1 } from '@ai-sdk/provider';\nimport { safeParseJSON } from '@ai-sdk/provider-utils';\nimport { ReactNode } from 'react';\nimport { z } from 'zod';\nimport { CallSettings } from '../../core/prompt/call-settings';\nimport { convertToLanguageModelPrompt } from '../../core/prompt/convert-to-language-model-prompt';\nimport { prepareCallSettings } from '../../core/prompt/prepare-call-settings';\nimport { prepareRetries } from '../../core/prompt/prepare-retries';\nimport { prepareToolsAndToolChoice } from '../../core/prompt/prepare-tools-and-tool-choice';\nimport { Prompt } from '../../core/prompt/prompt';\nimport { standardizePrompt } from '../../core/prompt/standardize-prompt';\nimport {\n CallWarning,\n FinishReason,\n ProviderMetadata,\n ToolChoice,\n} from '../../core/types';\nimport { ProviderOptions } from '../../core/types/provider-metadata';\nimport {\n LanguageModelUsage,\n calculateLanguageModelUsage,\n} from '../../core/types/usage';\nimport { InvalidToolArgumentsError } from '../../errors/invalid-tool-arguments-error';\nimport { NoSuchToolError } from '../../errors/no-such-tool-error';\nimport { createResolvablePromise } from '../../util/create-resolvable-promise';\nimport { isAsyncGenerator } from '../../util/is-async-generator';\nimport { isGenerator } from '../../util/is-generator';\nimport { createStreamableUI } from '../streamable-ui/create-streamable-ui';\n\ntype Streamable = ReactNode | Promise<ReactNode>;\n\ntype Renderer<T extends Array<any>> = (\n ...args: T\n) =>\n | Streamable\n | Generator<Streamable, Streamable, void>\n | AsyncGenerator<Streamable, Streamable, void>;\n\ntype RenderTool<PARAMETERS extends z.ZodTypeAny = any> = {\n description?: string;\n parameters: PARAMETERS;\n generate?: Renderer<\n [\n z.infer<PARAMETERS>,\n {\n toolName: string;\n toolCallId: string;\n },\n ]\n >;\n};\n\ntype RenderText = Renderer<\n [\n {\n /**\n * The full text content from the model so far.\n */\n content: string;\n\n /**\n * The new appended text content from the model since the last `text` call.\n */\n delta: string;\n\n /**\n * Whether the model is done generating text.\n * If `true`, the `content` will be the final output and this call will be the last.\n */\n done: boolean;\n },\n ]\n>;\n\ntype RenderResult = {\n value: ReactNode;\n} & Awaited<ReturnType<LanguageModelV1['doStream']>>;\n\nconst defaultTextRenderer: RenderText = ({ content }: { content: string }) =>\n content;\n\n/**\n * `streamUI` is a helper function to create a streamable UI from LLMs.\n */\nexport async function streamUI<\n TOOLS extends { [name: string]: z.ZodTypeAny } = {},\n>({\n model,\n tools,\n toolChoice,\n system,\n prompt,\n messages,\n maxRetries,\n abortSignal,\n headers,\n initial,\n text,\n experimental_providerMetadata,\n providerOptions = experimental_providerMetadata,\n onFinish,\n ...settings\n}: CallSettings &\n Prompt & {\n /**\n * The language model to use.\n */\n model: LanguageModelV1;\n\n /**\n * The tools that the model can call. The model needs to support calling tools.\n */\n tools?: {\n [name in keyof TOOLS]: RenderTool<TOOLS[name]>;\n };\n\n /**\n * The tool choice strategy. Default: 'auto'.\n */\n toolChoice?: ToolChoice<TOOLS>;\n\n text?: RenderText;\n initial?: ReactNode;\n\n /**\nAdditional provider-specific options. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n*/\n experimental_providerMetadata?: ProviderMetadata;\n\n /**\n * Callback that is called when the LLM response and the final object validation are finished.\n */\n onFinish?: (event: {\n /**\n * The reason why the generation finished.\n */\n finishReason: FinishReason;\n /**\n * The token usage of the generated response.\n */\n usage: LanguageModelUsage;\n /**\n * The final ui node that was generated.\n */\n value: ReactNode;\n /**\n * Warnings from the model provider (e.g. unsupported settings)\n */\n warnings?: CallWarning[];\n /**\n * Optional raw response data.\n */\n rawResponse?: {\n /**\n * Response headers.\n */\n headers?: Record<string, string>;\n };\n }) => Promise<void> | void;\n }): Promise<RenderResult> {\n // TODO: Remove these errors after the experimental phase.\n if (typeof model === 'string') {\n throw new Error(\n '`model` cannot be a string in `streamUI`. Use the actual model instance instead.',\n );\n }\n if ('functions' in settings) {\n throw new Error(\n '`functions` is not supported in `streamUI`, use `tools` instead.',\n );\n }\n if ('provider' in settings) {\n throw new Error(\n '`provider` is no longer needed in `streamUI`. Use `model` instead.',\n );\n }\n if (tools) {\n for (const [name, tool] of Object.entries(tools)) {\n if ('render' in tool) {\n throw new Error(\n 'Tool definition in `streamUI` should not have `render` property. Use `generate` instead. Found in tool: ' +\n name,\n );\n }\n }\n }\n\n const ui = createStreamableUI(initial);\n\n // The default text renderer just returns the content as string.\n const textRender = text || defaultTextRenderer;\n\n let finished: Promise<void> | undefined;\n\n let finishEvent: {\n finishReason: FinishReason;\n usage: LanguageModelUsage;\n warnings?: CallWarning[];\n rawResponse?: {\n headers?: Record<string, string>;\n };\n } | null = null;\n\n async function render({\n args,\n renderer,\n streamableUI,\n isLastCall = false,\n }: {\n renderer: undefined | Renderer<any>;\n args: [payload: any] | [payload: any, options: any];\n streamableUI: ReturnType<typeof createStreamableUI>;\n isLastCall?: boolean;\n }) {\n if (!renderer) return;\n\n // create a promise that will be resolved when the render call is finished.\n // it is appended to the `finished` promise chain to ensure the render call\n // is finished before the next render call starts.\n const renderFinished = createResolvablePromise<void>();\n finished = finished\n ? finished.then(() => renderFinished.promise)\n : renderFinished.promise;\n\n const rendererResult = renderer(...args);\n\n if (isAsyncGenerator(rendererResult) || isGenerator(rendererResult)) {\n while (true) {\n const { done, value } = await rendererResult.next();\n const node = await value;\n\n if (isLastCall && done) {\n streamableUI.done(node);\n } else {\n streamableUI.update(node);\n }\n\n if (done) break;\n }\n } else {\n const node = await rendererResult;\n\n if (isLastCall) {\n streamableUI.done(node);\n } else {\n streamableUI.update(node);\n }\n }\n\n // resolve the promise to signal that the render call is finished\n renderFinished.resolve(undefined);\n }\n\n const { retry } = prepareRetries({ maxRetries });\n\n const validatedPrompt = standardizePrompt({\n prompt: { system, prompt, messages },\n tools: undefined, // streamUI tools don't support multi-modal tool result conversion\n });\n const result = await retry(async () =>\n model.doStream({\n mode: {\n type: 'regular',\n ...prepareToolsAndToolChoice({\n tools,\n toolChoice,\n activeTools: undefined,\n }),\n },\n ...prepareCallSettings(settings),\n inputFormat: validatedPrompt.type,\n prompt: await convertToLanguageModelPrompt({\n prompt: validatedPrompt,\n modelSupportsImageUrls: model.supportsImageUrls,\n modelSupportsUrl: model.supportsUrl?.bind(model), // support 'this' context\n }),\n providerMetadata: providerOptions,\n abortSignal,\n headers,\n }),\n );\n\n // For the stream and consume it asynchronously:\n const [stream, forkedStream] = result.stream.tee();\n (async () => {\n try {\n let content = '';\n let hasToolCall = false;\n\n const reader = forkedStream.getReader();\n while (true) {\n const { done, value } = await reader.read();\n if (done) break;\n\n switch (value.type) {\n case 'text-delta': {\n content += value.textDelta;\n render({\n renderer: textRender,\n args: [{ content, done: false, delta: value.textDelta }],\n streamableUI: ui,\n });\n break;\n }\n\n case 'tool-call-delta': {\n hasToolCall = true;\n break;\n }\n\n case 'tool-call': {\n const toolName = value.toolName as keyof TOOLS & string;\n\n if (!tools) {\n throw new NoSuchToolError({ toolName });\n }\n\n const tool = tools[toolName];\n if (!tool) {\n throw new NoSuchToolError({\n toolName,\n availableTools: Object.keys(tools),\n });\n }\n\n hasToolCall = true;\n const parseResult = safeParseJSON({\n text: value.args,\n schema: tool.parameters,\n });\n\n if (parseResult.success === false) {\n throw new InvalidToolArgumentsError({\n toolName,\n toolArgs: value.args,\n cause: parseResult.error,\n });\n }\n\n render({\n renderer: tool.generate,\n args: [\n parseResult.value,\n {\n toolName,\n toolCallId: value.toolCallId,\n },\n ],\n streamableUI: ui,\n isLastCall: true,\n });\n\n break;\n }\n\n case 'error': {\n throw value.error;\n }\n\n case 'finish': {\n finishEvent = {\n finishReason: value.finishReason,\n usage: calculateLanguageModelUsage(value.usage),\n warnings: result.warnings,\n rawResponse: result.rawResponse,\n };\n break;\n }\n }\n }\n\n if (!hasToolCall) {\n render({\n renderer: textRender,\n args: [{ content, done: true }],\n streamableUI: ui,\n isLastCall: true,\n });\n }\n\n await finished;\n\n if (finishEvent && onFinish) {\n await onFinish({\n ...finishEvent,\n value: ui.value,\n });\n }\n } catch (error) {\n // During the stream rendering, we don't want to throw the error to the\n // parent scope but only let the React's error boundary to catch it.\n ui.error(error);\n }\n })();\n\n return {\n ...result,\n stream,\n value: ui.value,\n };\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_DownloadError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class DownloadError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly url: string;\n readonly statusCode?: number;\n readonly statusText?: string;\n\n constructor({\n url,\n statusCode,\n statusText,\n cause,\n message = cause == null\n ? `Failed to download ${url}: ${statusCode} ${statusText}`\n : `Failed to download ${url}: ${cause}`,\n }: {\n url: string;\n statusCode?: number;\n statusText?: string;\n message?: string;\n cause?: unknown;\n }) {\n super({ name, message, cause });\n\n this.url = url;\n this.statusCode = statusCode;\n this.statusText = statusText;\n }\n\n static isInstance(error: unknown): error is DownloadError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import { DownloadError } from './download-error';\n\nexport async function download({ url }: { url: URL }): Promise<{\n data: Uint8Array;\n mimeType: string | undefined;\n}> {\n const urlText = url.toString();\n try {\n const response = await fetch(urlText);\n\n if (!response.ok) {\n throw new DownloadError({\n url: urlText,\n statusCode: response.status,\n statusText: response.statusText,\n });\n }\n\n return {\n data: new Uint8Array(await response.arrayBuffer()),\n mimeType: response.headers.get('content-type') ?? undefined,\n };\n } catch (error) {\n if (DownloadError.isInstance(error)) {\n throw error;\n }\n\n throw new DownloadError({ url: urlText, cause: error });\n }\n}\n","import { convertBase64ToUint8Array } from '@ai-sdk/provider-utils';\n\nexport const imageMimeTypeSignatures = [\n {\n mimeType: 'image/gif' as const,\n bytesPrefix: [0x47, 0x49, 0x46],\n base64Prefix: 'R0lG',\n },\n {\n mimeType: 'image/png' as const,\n bytesPrefix: [0x89, 0x50, 0x4e, 0x47],\n base64Prefix: 'iVBORw',\n },\n {\n mimeType: 'image/jpeg' as const,\n bytesPrefix: [0xff, 0xd8],\n base64Prefix: '/9j/',\n },\n {\n mimeType: 'image/webp' as const,\n bytesPrefix: [0x52, 0x49, 0x46, 0x46],\n base64Prefix: 'UklGRg',\n },\n {\n mimeType: 'image/bmp' as const,\n bytesPrefix: [0x42, 0x4d],\n base64Prefix: 'Qk',\n },\n {\n mimeType: 'image/tiff' as const,\n bytesPrefix: [0x49, 0x49, 0x2a, 0x00],\n base64Prefix: 'SUkqAA',\n },\n {\n mimeType: 'image/tiff' as const,\n bytesPrefix: [0x4d, 0x4d, 0x00, 0x2a],\n base64Prefix: 'TU0AKg',\n },\n {\n mimeType: 'image/avif' as const,\n bytesPrefix: [\n 0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x61, 0x76, 0x69, 0x66,\n ],\n base64Prefix: 'AAAAIGZ0eXBhdmlm',\n },\n {\n mimeType: 'image/heic' as const,\n bytesPrefix: [\n 0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x68, 0x65, 0x69, 0x63,\n ],\n base64Prefix: 'AAAAIGZ0eXBoZWlj',\n },\n] as const;\n\nexport const audioMimeTypeSignatures = [\n {\n mimeType: 'audio/mpeg' as const,\n bytesPrefix: [0xff, 0xfb],\n base64Prefix: '//s=',\n },\n {\n mimeType: 'audio/wav' as const,\n bytesPrefix: [0x52, 0x49, 0x46, 0x46],\n base64Prefix: 'UklGR',\n },\n {\n mimeType: 'audio/ogg' as const,\n bytesPrefix: [0x4f, 0x67, 0x67, 0x53],\n base64Prefix: 'T2dnUw',\n },\n {\n mimeType: 'audio/flac' as const,\n bytesPrefix: [0x66, 0x4c, 0x61, 0x43],\n base64Prefix: 'ZkxhQw',\n },\n {\n mimeType: 'audio/aac' as const,\n bytesPrefix: [0x40, 0x15, 0x00, 0x00],\n base64Prefix: 'QBUA',\n },\n {\n mimeType: 'audio/mp4' as const,\n bytesPrefix: [0x66, 0x74, 0x79, 0x70],\n base64Prefix: 'ZnR5cA',\n },\n] as const;\n\nconst stripID3 = (data: Uint8Array | string) => {\n const bytes =\n typeof data === 'string' ? convertBase64ToUint8Array(data) : data;\n const id3Size =\n ((bytes[6] & 0x7f) << 21) |\n ((bytes[7] & 0x7f) << 14) |\n ((bytes[8] & 0x7f) << 7) |\n (bytes[9] & 0x7f);\n\n // The raw MP3 starts here\n return bytes.slice(id3Size + 10);\n};\n\nfunction stripID3TagsIfPresent(data: Uint8Array | string): Uint8Array | string {\n const hasId3 =\n (typeof data === 'string' && data.startsWith('SUQz')) ||\n (typeof data !== 'string' &&\n data.length > 10 &&\n data[0] === 0x49 && // 'I'\n data[1] === 0x44 && // 'D'\n data[2] === 0x33); // '3'\n\n return hasId3 ? stripID3(data) : data;\n}\n\nexport function detectMimeType({\n data,\n signatures,\n}: {\n data: Uint8Array | string;\n signatures: typeof audioMimeTypeSignatures | typeof imageMimeTypeSignatures;\n}): (typeof signatures)[number]['mimeType'] | undefined {\n const processedData = stripID3TagsIfPresent(data);\n\n for (const signature of signatures) {\n if (\n typeof processedData === 'string'\n ? processedData.startsWith(signature.base64Prefix)\n : processedData.length >= signature.bytesPrefix.length &&\n signature.bytesPrefix.every(\n (byte, index) => processedData[index] === byte,\n )\n ) {\n return signature.mimeType;\n }\n }\n\n return undefined;\n}\n","import {\n convertBase64ToUint8Array,\n convertUint8ArrayToBase64,\n} from '@ai-sdk/provider-utils';\nimport { InvalidDataContentError } from './invalid-data-content-error';\nimport { z } from 'zod';\n\n/**\nData content. Can either be a base64-encoded string, a Uint8Array, an ArrayBuffer, or a Buffer.\n */\nexport type DataContent = string | Uint8Array | ArrayBuffer | Buffer;\n\n/**\n@internal\n */\nexport const dataContentSchema: z.ZodType<DataContent> = z.union([\n z.string(),\n z.instanceof(Uint8Array),\n z.instanceof(ArrayBuffer),\n z.custom(\n // Buffer might not be available in some environments such as CloudFlare:\n (value: unknown): value is Buffer =>\n globalThis.Buffer?.isBuffer(value) ?? false,\n { message: 'Must be a Buffer' },\n ),\n]);\n\n/**\nConverts data content to a base64-encoded string.\n\n@param content - Data content to convert.\n@returns Base64-encoded string.\n*/\nexport function convertDataContentToBase64String(content: DataContent): string {\n if (typeof content === 'string') {\n return content;\n }\n\n if (content instanceof ArrayBuffer) {\n return convertUint8ArrayToBase64(new Uint8Array(content));\n }\n\n return convertUint8ArrayToBase64(content);\n}\n\n/**\nConverts data content to a Uint8Array.\n\n@param content - Data content to convert.\n@returns Uint8Array.\n */\nexport function convertDataContentToUint8Array(\n content: DataContent,\n): Uint8Array {\n if (content instanceof Uint8Array) {\n return content;\n }\n\n if (typeof content === 'string') {\n try {\n return convertBase64ToUint8Array(content);\n } catch (error) {\n throw new InvalidDataContentError({\n message:\n 'Invalid data content. Content string is not a base64-encoded media.',\n content,\n cause: error,\n });\n }\n }\n\n if (content instanceof ArrayBuffer) {\n return new Uint8Array(content);\n }\n\n throw new InvalidDataContentError({ content });\n}\n\n/**\n * Converts a Uint8Array to a string of text.\n *\n * @param uint8Array - The Uint8Array to convert.\n * @returns The converted string.\n */\nexport function convertUint8ArrayToText(uint8Array: Uint8Array): string {\n try {\n return new TextDecoder().decode(uint8Array);\n } catch (error) {\n throw new Error('Error decoding Uint8Array to text');\n }\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidDataContentError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidDataContentError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly content: unknown;\n\n constructor({\n content,\n cause,\n message = `Invalid data content. Expected a base64 string, Uint8Array, ArrayBuffer, or Buffer, but got ${typeof content}.`,\n }: {\n content: unknown;\n cause?: unknown;\n message?: string;\n }) {\n super({ name, message, cause });\n\n this.content = content;\n }\n\n static isInstance(error: unknown): error is InvalidDataContentError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidMessageRoleError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidMessageRoleError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly role: string;\n\n constructor({\n role,\n message = `Invalid message role: '${role}'. Must be one of: \"system\", \"user\", \"assistant\", \"tool\".`,\n }: {\n role: string;\n message?: string;\n }) {\n super({ name, message });\n\n this.role = role;\n }\n\n static isInstance(error: unknown): error is InvalidMessageRoleError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","export function splitDataUrl(dataUrl: string): {\n mimeType: string | undefined;\n base64Content: string | undefined;\n} {\n try {\n const [header, base64Content] = dataUrl.split(',');\n return {\n mimeType: header.split(';')[0].split(':')[1],\n base64Content,\n };\n } catch (error) {\n return {\n mimeType: undefined,\n base64Content: undefined,\n };\n }\n}\n","import {\n LanguageModelV1FilePart,\n LanguageModelV1ImagePart,\n LanguageModelV1Message,\n LanguageModelV1Prompt,\n LanguageModelV1TextPart,\n} from '@ai-sdk/provider';\nimport { download } from '../../util/download';\nimport { CoreMessage } from '../prompt/message';\nimport {\n detectMimeType,\n imageMimeTypeSignatures,\n} from '../util/detect-mimetype';\nimport { FilePart, ImagePart, TextPart } from './content-part';\nimport {\n convertDataContentToBase64String,\n convertDataContentToUint8Array,\n DataContent,\n} from './data-content';\nimport { InvalidMessageRoleError } from './invalid-message-role-error';\nimport { splitDataUrl } from './split-data-url';\nimport { StandardizedPrompt } from './standardize-prompt';\n\nexport async function convertToLanguageModelPrompt({\n prompt,\n modelSupportsImageUrls = true,\n modelSupportsUrl = () => false,\n downloadImplementation = download,\n}: {\n prompt: StandardizedPrompt;\n modelSupportsImageUrls: boolean | undefined;\n modelSupportsUrl: undefined | ((url: URL) => boolean);\n downloadImplementation?: typeof download;\n}): Promise<LanguageModelV1Prompt> {\n const downloadedAssets = await downloadAssets(\n prompt.messages,\n downloadImplementation,\n modelSupportsImageUrls,\n modelSupportsUrl,\n );\n\n return [\n ...(prompt.system != null\n ? [{ role: 'system' as const, content: prompt.system }]\n : []),\n ...prompt.messages.map(message =>\n convertToLanguageModelMessage(message, downloadedAssets),\n ),\n ];\n}\n\n/**\n * Convert a CoreMessage to a LanguageModelV1Message.\n *\n * @param message The CoreMessage to convert.\n * @param downloadedAssets A map of URLs to their downloaded data. Only\n * available if the model does not support URLs, null otherwise.\n */\nexport function convertToLanguageModelMessage(\n message: CoreMessage,\n downloadedAssets: Record<\n string,\n { mimeType: string | undefined; data: Uint8Array }\n >,\n): LanguageModelV1Message {\n const role = message.role;\n switch (role) {\n case 'system': {\n return {\n role: 'system',\n content: message.content,\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n case 'user': {\n if (typeof message.content === 'string') {\n return {\n role: 'user',\n content: [{ type: 'text', text: message.content }],\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n return {\n role: 'user',\n content: message.content\n .map(part => convertPartToLanguageModelPart(part, downloadedAssets))\n // remove empty text parts:\n .filter(part => part.type !== 'text' || part.text !== ''),\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n case 'assistant': {\n if (typeof message.content === 'string') {\n return {\n role: 'assistant',\n content: [{ type: 'text', text: message.content }],\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n return {\n role: 'assistant',\n content: message.content\n .filter(\n // remove empty text parts:\n part => part.type !== 'text' || part.text !== '',\n )\n .map(part => {\n const providerOptions =\n part.providerOptions ?? part.experimental_providerMetadata;\n\n switch (part.type) {\n case 'file': {\n return {\n type: 'file',\n data:\n part.data instanceof URL\n ? part.data\n : convertDataContentToBase64String(part.data),\n filename: part.filename,\n mimeType: part.mimeType,\n providerMetadata: providerOptions,\n };\n }\n case 'reasoning': {\n return {\n type: 'reasoning',\n text: part.text,\n signature: part.signature,\n providerMetadata: providerOptions,\n };\n }\n case 'redacted-reasoning': {\n return {\n type: 'redacted-reasoning',\n data: part.data,\n providerMetadata: providerOptions,\n };\n }\n case 'text': {\n return {\n type: 'text' as const,\n text: part.text,\n providerMetadata: providerOptions,\n };\n }\n case 'tool-call': {\n return {\n type: 'tool-call' as const,\n toolCallId: part.toolCallId,\n toolName: part.toolName,\n args: part.args,\n providerMetadata: providerOptions,\n };\n }\n }\n }),\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n case 'tool': {\n return {\n role: 'tool',\n content: message.content.map(part => ({\n type: 'tool-result',\n toolCallId: part.toolCallId,\n toolName: part.toolName,\n result: part.result,\n content: part.experimental_content,\n isError: part.isError,\n providerMetadata:\n part.providerOptions ?? part.experimental_providerMetadata,\n })),\n providerMetadata:\n message.providerOptions ?? message.experimental_providerMetadata,\n };\n }\n\n default: {\n const _exhaustiveCheck: never = role;\n throw new InvalidMessageRoleError({ role: _exhaustiveCheck });\n }\n }\n}\n\n/**\n * Downloads images and files from URLs in the messages.\n */\nasync function downloadAssets(\n messages: CoreMessage[],\n downloadImplementation: typeof download,\n modelSupportsImageUrls: boolean | undefined,\n modelSupportsUrl: (url: URL) => boolean,\n): Promise<Record<string, { mimeType: string | undefined; data: Uint8Array }>> {\n const urls = messages\n .filter(message => message.role === 'user')\n .map(message => message.content)\n .filter((content): content is Array<TextPart | ImagePart | FilePart> =>\n Array.isArray(content),\n )\n .flat()\n .filter(\n (part): part is ImagePart | FilePart =>\n part.type === 'image' || part.type === 'file',\n )\n /**\n * Filter out image parts if the model supports image URLs, before letting it\n * decide if it supports a particular URL.\n */\n .filter(\n (part): part is ImagePart | FilePart =>\n !(part.type === 'image' && modelSupportsImageUrls === true),\n )\n .map(part => (part.type === 'image' ? part.image : part.data))\n .map(part =>\n // support string urls:\n typeof part === 'string' &&\n (part.startsWith('http:') || part.startsWith('https:'))\n ? new URL(part)\n : part,\n )\n .filter((image): image is URL => image instanceof URL)\n /**\n * Filter out URLs that the model supports natively, so we don't download them.\n */\n .filter(url => !modelSupportsUrl(url));\n\n // download in parallel:\n const downloadedImages = await Promise.all(\n urls.map(async url => ({\n url,\n data: await downloadImplementation({ url }),\n })),\n );\n\n return Object.fromEntries(\n downloadedImages.map(({ url, data }) => [url.toString(), data]),\n );\n}\n\n/**\n * Convert part of a message to a LanguageModelV1Part.\n * @param part The part to convert.\n * @param downloadedAssets A map of URLs to their downloaded data. Only\n * available if the model does not support URLs, null otherwise.\n *\n * @returns The converted part.\n */\nfunction convertPartToLanguageModelPart(\n part: TextPart | ImagePart | FilePart,\n downloadedAssets: Record<\n string,\n { mimeType: string | undefined; data: Uint8Array }\n >,\n):\n | LanguageModelV1TextPart\n | LanguageModelV1ImagePart\n | LanguageModelV1FilePart {\n if (part.type === 'text') {\n return {\n type: 'text',\n text: part.text,\n providerMetadata:\n part.providerOptions ?? part.experimental_providerMetadata,\n };\n }\n\n let mimeType: string | undefined = part.mimeType;\n let data: DataContent | URL;\n let content: URL | ArrayBuffer | string;\n let normalizedData: Uint8Array | URL;\n\n const type = part.type;\n switch (type) {\n case 'image':\n data = part.image;\n break;\n case 'file':\n data = part.data;\n break;\n default:\n throw new Error(`Unsupported part type: ${type}`);\n }\n\n // Attempt to create a URL from the data. If it fails, we can assume the data\n // is not a URL and likely some other sort of data.\n try {\n content = typeof data === 'string' ? new URL(data) : data;\n } catch (error) {\n content = data;\n }\n\n // If we successfully created a URL, we can use that to normalize the data\n // either by passing it through or converting normalizing the base64 content\n // to a Uint8Array.\n if (content instanceof URL) {\n // If the content is a data URL, we want to convert that to a Uint8Array\n if (content.protocol === 'data:') {\n const { mimeType: dataUrlMimeType, base64Content } = splitDataUrl(\n content.toString(),\n );\n\n if (dataUrlMimeType == null || base64Content == null) {\n throw new Error(`Invalid data URL format in part ${type}`);\n }\n\n mimeType = dataUrlMimeType;\n normalizedData = convertDataContentToUint8Array(base64Content);\n } else {\n /**\n * If the content is a URL, we should first see if it was downloaded. And if not,\n * we can let the model decide if it wants to support the URL. This also allows\n * for non-HTTP URLs to be passed through (e.g. gs://).\n */\n const downloadedFile = downloadedAssets[content.toString()];\n if (downloadedFile) {\n normalizedData = downloadedFile.data;\n mimeType ??= downloadedFile.mimeType;\n } else {\n normalizedData = content;\n }\n }\n } else {\n // Since we know now the content is not a URL, we can attempt to normalize\n // the data assuming it is some sort of data.\n normalizedData = convertDataContentToUint8Array(content);\n }\n\n // Now that we have the normalized data either as a URL or a Uint8Array,\n // we can create the LanguageModelV1Part.\n switch (type) {\n case 'image': {\n // When possible, try to detect the mimetype automatically\n // to deal with incorrect mimetype inputs.\n // When detection fails, use provided mimetype.\n\n if (normalizedData instanceof Uint8Array) {\n mimeType =\n detectMimeType({\n data: normalizedData,\n signatures: imageMimeTypeSignatures,\n }) ?? mimeType;\n }\n return {\n type: 'image',\n image: normalizedData,\n mimeType,\n providerMetadata:\n part.providerOptions ?? part.experimental_providerMetadata,\n };\n }\n\n case 'file': {\n // We should have a mimeType at this point, if not, throw an error.\n if (mimeType == null) {\n throw new Error(`Mime type is missing for file part`);\n }\n\n return {\n type: 'file',\n data:\n normalizedData instanceof Uint8Array\n ? convertDataContentToBase64String(normalizedData)\n : normalizedData,\n filename: part.filename,\n mimeType,\n providerMetadata:\n part.providerOptions ?? part.experimental_providerMetadata,\n };\n }\n }\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidArgumentError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidArgumentError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly parameter: string;\n readonly value: unknown;\n\n constructor({\n parameter,\n value,\n message,\n }: {\n parameter: string;\n value: unknown;\n message: string;\n }) {\n super({\n name,\n message: `Invalid argument for parameter ${parameter}: ${message}`,\n });\n\n this.parameter = parameter;\n this.value = value;\n }\n\n static isInstance(error: unknown): error is InvalidArgumentError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import { InvalidArgumentError } from '../../errors/invalid-argument-error';\nimport { CallSettings } from './call-settings';\n\n/**\n * Validates call settings and sets default values.\n */\nexport function prepareCallSettings({\n maxTokens,\n temperature,\n topP,\n topK,\n presencePenalty,\n frequencyPenalty,\n stopSequences,\n seed,\n}: Omit<CallSettings, 'abortSignal' | 'headers' | 'maxRetries'>): Omit<\n CallSettings,\n 'abortSignal' | 'headers' | 'maxRetries'\n> {\n if (maxTokens != null) {\n if (!Number.isInteger(maxTokens)) {\n throw new InvalidArgumentError({\n parameter: 'maxTokens',\n value: maxTokens,\n message: 'maxTokens must be an integer',\n });\n }\n\n if (maxTokens < 1) {\n throw new InvalidArgumentError({\n parameter: 'maxTokens',\n value: maxTokens,\n message: 'maxTokens must be >= 1',\n });\n }\n }\n\n if (temperature != null) {\n if (typeof temperature !== 'number') {\n throw new InvalidArgumentError({\n parameter: 'temperature',\n value: temperature,\n message: 'temperature must be a number',\n });\n }\n }\n\n if (topP != null) {\n if (typeof topP !== 'number') {\n throw new InvalidArgumentError({\n parameter: 'topP',\n value: topP,\n message: 'topP must be a number',\n });\n }\n }\n\n if (topK != null) {\n if (typeof topK !== 'number') {\n throw new InvalidArgumentError({\n parameter: 'topK',\n value: topK,\n message: 'topK must be a number',\n });\n }\n }\n\n if (presencePenalty != null) {\n if (typeof presencePenalty !== 'number') {\n throw new InvalidArgumentError({\n parameter: 'presencePenalty',\n value: presencePenalty,\n message: 'presencePenalty must be a number',\n });\n }\n }\n\n if (frequencyPenalty != null) {\n if (typeof frequencyPenalty !== 'number') {\n throw new InvalidArgumentError({\n parameter: 'frequencyPenalty',\n value: frequencyPenalty,\n message: 'frequencyPenalty must be a number',\n });\n }\n }\n\n if (seed != null) {\n if (!Number.isInteger(seed)) {\n throw new InvalidArgumentError({\n parameter: 'seed',\n value: seed,\n message: 'seed must be an integer',\n });\n }\n }\n\n return {\n maxTokens,\n // TODO v5 remove default 0 for temperature\n temperature: temperature ?? 0,\n topP,\n topK,\n presencePenalty,\n frequencyPenalty,\n stopSequences:\n stopSequences != null && stopSequences.length > 0\n ? stopSequences\n : undefined,\n seed,\n };\n}\n","import { APICallError } from '@ai-sdk/provider';\nimport { delay, getErrorMessage, isAbortError } from '@ai-sdk/provider-utils';\nimport { RetryError } from './retry-error';\n\nexport type RetryFunction = <OUTPUT>(\n fn: () => PromiseLike<OUTPUT>,\n) => PromiseLike<OUTPUT>;\n\n/**\nThe `retryWithExponentialBackoff` strategy retries a failed API call with an exponential backoff.\nYou can configure the maximum number of retries, the initial delay, and the backoff factor.\n */\nexport const retryWithExponentialBackoff =\n ({\n maxRetries = 2,\n initialDelayInMs = 2000,\n backoffFactor = 2,\n } = {}): RetryFunction =>\n async <OUTPUT>(f: () => PromiseLike<OUTPUT>) =>\n _retryWithExponentialBackoff(f, {\n maxRetries,\n delayInMs: initialDelayInMs,\n backoffFactor,\n });\n\nasync function _retryWithExponentialBackoff<OUTPUT>(\n f: () => PromiseLike<OUTPUT>,\n {\n maxRetries,\n delayInMs,\n backoffFactor,\n }: { maxRetries: number; delayInMs: number; backoffFactor: number },\n errors: unknown[] = [],\n): Promise<OUTPUT> {\n try {\n return await f();\n } catch (error) {\n if (isAbortError(error)) {\n throw error; // don't retry when the request was aborted\n }\n\n if (maxRetries === 0) {\n throw error; // don't wrap the error when retries are disabled\n }\n\n const errorMessage = getErrorMessage(error);\n const newErrors = [...errors, error];\n const tryNumber = newErrors.length;\n\n if (tryNumber > maxRetries) {\n throw new RetryError({\n message: `Failed after ${tryNumber} attempts. Last error: ${errorMessage}`,\n reason: 'maxRetriesExceeded',\n errors: newErrors,\n });\n }\n\n if (\n error instanceof Error &&\n APICallError.isInstance(error) &&\n error.isRetryable === true &&\n tryNumber <= maxRetries\n ) {\n await delay(delayInMs);\n return _retryWithExponentialBackoff(\n f,\n { maxRetries, delayInMs: backoffFactor * delayInMs, backoffFactor },\n newErrors,\n );\n }\n\n if (tryNumber === 1) {\n throw error; // don't wrap the error when a non-retryable error occurs on the first try\n }\n\n throw new RetryError({\n message: `Failed after ${tryNumber} attempts with non-retryable error: '${errorMessage}'`,\n reason: 'errorNotRetryable',\n errors: newErrors,\n });\n }\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_RetryError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport type RetryErrorReason =\n | 'maxRetriesExceeded'\n | 'errorNotRetryable'\n | 'abort';\n\nexport class RetryError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n // note: property order determines debugging output\n readonly reason: RetryErrorReason;\n readonly lastError: unknown;\n readonly errors: Array<unknown>;\n\n constructor({\n message,\n reason,\n errors,\n }: {\n message: string;\n reason: RetryErrorReason;\n errors: Array<unknown>;\n }) {\n super({ name, message });\n\n this.reason = reason;\n this.errors = errors;\n\n // separate our last error to make debugging via log easier:\n this.lastError = errors[errors.length - 1];\n }\n\n static isInstance(error: unknown): error is RetryError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import { InvalidArgumentError } from '../../errors/invalid-argument-error';\nimport {\n RetryFunction,\n retryWithExponentialBackoff,\n} from '../../util/retry-with-exponential-backoff';\n\n/**\n * Validate and prepare retries.\n */\nexport function prepareRetries({\n maxRetries,\n}: {\n maxRetries: number | undefined;\n}): {\n maxRetries: number;\n retry: RetryFunction;\n} {\n if (maxRetries != null) {\n if (!Number.isInteger(maxRetries)) {\n throw new InvalidArgumentError({\n parameter: 'maxRetries',\n value: maxRetries,\n message: 'maxRetries must be an integer',\n });\n }\n\n if (maxRetries < 0) {\n throw new InvalidArgumentError({\n parameter: 'maxRetries',\n value: maxRetries,\n message: 'maxRetries must be >= 0',\n });\n }\n }\n\n const maxRetriesResult = maxRetries ?? 2;\n\n return {\n maxRetries: maxRetriesResult,\n retry: retryWithExponentialBackoff({ maxRetries: maxRetriesResult }),\n };\n}\n","import {\n LanguageModelV1FunctionTool,\n LanguageModelV1ProviderDefinedTool,\n LanguageModelV1ToolChoice,\n} from '@ai-sdk/provider';\nimport { asSchema } from '@ai-sdk/ui-utils';\nimport { ToolSet } from '../generate-text';\nimport { ToolChoice } from '../types/language-model';\nimport { isNonEmptyObject } from '../util/is-non-empty-object';\n\nexport function prepareToolsAndToolChoice<TOOLS extends ToolSet>({\n tools,\n toolChoice,\n activeTools,\n}: {\n tools: TOOLS | undefined;\n toolChoice: ToolChoice<TOOLS> | undefined;\n activeTools: Array<keyof TOOLS> | undefined;\n}): {\n tools:\n | Array<LanguageModelV1FunctionTool | LanguageModelV1ProviderDefinedTool>\n | undefined;\n toolChoice: LanguageModelV1ToolChoice | undefined;\n} {\n if (!isNonEmptyObject(tools)) {\n return {\n tools: undefined,\n toolChoice: undefined,\n };\n }\n\n // when activeTools is provided, we only include the tools that are in the list:\n const filteredTools =\n activeTools != null\n ? Object.entries(tools).filter(([name]) =>\n activeTools.includes(name as keyof TOOLS),\n )\n : Object.entries(tools);\n\n return {\n tools: filteredTools.map(([name, tool]) => {\n const toolType = tool.type;\n switch (toolType) {\n case undefined:\n case 'function':\n return {\n type: 'function' as const,\n name,\n description: tool.description,\n parameters: asSchema(tool.parameters).jsonSchema,\n };\n case 'provider-defined':\n return {\n type: 'provider-defined' as const,\n name,\n id: tool.id,\n args: tool.args,\n };\n default: {\n const exhaustiveCheck: never = toolType;\n throw new Error(`Unsupported tool type: ${exhaustiveCheck}`);\n }\n }\n }),\n toolChoice:\n toolChoice == null\n ? { type: 'auto' }\n : typeof toolChoice === 'string'\n ? { type: toolChoice }\n : { type: 'tool' as const, toolName: toolChoice.toolName as string },\n };\n}\n","export function isNonEmptyObject(\n object: Record<string, unknown> | undefined | null,\n): object is Record<string, unknown> {\n return object != null && Object.keys(object).length > 0;\n}\n","import { InvalidPromptError } from '@ai-sdk/provider';\nimport { safeValidateTypes } from '@ai-sdk/provider-utils';\nimport { Message } from '@ai-sdk/ui-utils';\nimport { z } from 'zod';\nimport { ToolSet } from '../generate-text/tool-set';\nimport { convertToCoreMessages } from './convert-to-core-messages';\nimport { CoreMessage, coreMessageSchema } from './message';\nimport { Prompt } from './prompt';\n\nexport type StandardizedPrompt = {\n /**\n * Original prompt type. This is forwarded to the providers and can be used\n * to write send raw text to providers that support it.\n */\n type: 'prompt' | 'messages';\n\n /**\n * System message.\n */\n system?: string;\n\n /**\n * Messages.\n */\n messages: CoreMessage[];\n};\n\nexport function standardizePrompt<TOOLS extends ToolSet>({\n prompt,\n tools,\n}: {\n prompt: Prompt;\n tools: undefined | TOOLS;\n}): StandardizedPrompt {\n if (prompt.prompt == null && prompt.messages == null) {\n throw new InvalidPromptError({\n prompt,\n message: 'prompt or messages must be defined',\n });\n }\n\n if (prompt.prompt != null && prompt.messages != null) {\n throw new InvalidPromptError({\n prompt,\n message: 'prompt and messages cannot be defined at the same time',\n });\n }\n\n // validate that system is a string\n if (prompt.system != null && typeof prompt.system !== 'string') {\n throw new InvalidPromptError({\n prompt,\n message: 'system must be a string',\n });\n }\n\n // type: prompt\n if (prompt.prompt != null) {\n // validate that prompt is a string\n if (typeof prompt.prompt !== 'string') {\n throw new InvalidPromptError({\n prompt,\n message: 'prompt must be a string',\n });\n }\n\n return {\n type: 'prompt',\n system: prompt.system,\n messages: [\n {\n role: 'user',\n content: prompt.prompt,\n },\n ],\n };\n }\n\n // type: messages\n if (prompt.messages != null) {\n const promptType = detectPromptType(prompt.messages);\n\n const messages: CoreMessage[] =\n promptType === 'ui-messages'\n ? convertToCoreMessages(prompt.messages as Omit<Message, 'id'>[], {\n tools,\n })\n : (prompt.messages as CoreMessage[]);\n\n if (messages.length === 0) {\n throw new InvalidPromptError({\n prompt,\n message: 'messages must not be empty',\n });\n }\n\n const validationResult = safeValidateTypes({\n value: messages,\n schema: z.array(coreMessageSchema),\n });\n\n if (!validationResult.success) {\n throw new InvalidPromptError({\n prompt,\n message: [\n 'message must be a CoreMessage or a UI message',\n `Validation error: ${validationResult.error.message}`,\n ].join('\\n'),\n cause: validationResult.error,\n });\n }\n\n return {\n type: 'messages',\n messages,\n system: prompt.system,\n };\n }\n\n throw new Error('unreachable');\n}\n\nfunction detectPromptType(\n prompt: Array<any>,\n): 'ui-messages' | 'messages' | 'other' {\n if (!Array.isArray(prompt)) {\n throw new InvalidPromptError({\n prompt,\n message: [\n 'messages must be an array of CoreMessage or UIMessage',\n `Received non-array value: ${JSON.stringify(prompt)}`,\n ].join('\\n'),\n cause: prompt,\n });\n }\n\n if (prompt.length === 0) {\n return 'messages';\n }\n\n const characteristics = prompt.map(detectSingleMessageCharacteristics);\n\n if (characteristics.some(c => c === 'has-ui-specific-parts')) {\n return 'ui-messages';\n }\n\n const nonMessageIndex = characteristics.findIndex(\n c => c !== 'has-core-specific-parts' && c !== 'message',\n );\n\n if (nonMessageIndex === -1) {\n return 'messages';\n }\n\n throw new InvalidPromptError({\n prompt,\n message: [\n 'messages must be an array of CoreMessage or UIMessage',\n `Received message of type: \"${characteristics[nonMessageIndex]}\" at index ${nonMessageIndex}`,\n `messages[${nonMessageIndex}]: ${JSON.stringify(prompt[nonMessageIndex])}`,\n ].join('\\n'),\n cause: prompt,\n });\n}\n\nfunction detectSingleMessageCharacteristics(\n message: any,\n): 'has-ui-specific-parts' | 'has-core-specific-parts' | 'message' | 'other' {\n if (\n typeof message === 'object' &&\n message !== null &&\n (message.role === 'function' || // UI-only role\n message.role === 'data' || // UI-only role\n 'toolInvocations' in message || // UI-specific field\n 'parts' in message || // UI-specific field\n 'experimental_attachments' in message)\n ) {\n return 'has-ui-specific-parts';\n } else if (\n typeof message === 'object' &&\n message !== null &&\n 'content' in message &&\n (Array.isArray(message.content) || // Core messages can have array content\n 'experimental_providerMetadata' in message ||\n 'providerOptions' in message)\n ) {\n return 'has-core-specific-parts';\n } else if (\n typeof message === 'object' &&\n message !== null &&\n 'role' in message &&\n 'content' in message &&\n typeof message.content === 'string' &&\n ['system', 'user', 'assistant', 'tool'].includes(message.role)\n ) {\n return 'message';\n } else {\n return 'other';\n }\n}\n","import { Attachment } from '@ai-sdk/ui-utils';\nimport { FilePart, ImagePart, TextPart } from './content-part';\nimport {\n convertDataContentToUint8Array,\n convertUint8ArrayToText,\n} from './data-content';\n\ntype ContentPart = TextPart | ImagePart | FilePart;\n\n/**\n * Converts a list of attachments to a list of content parts\n * for consumption by `ai/core` functions.\n * Currently only supports images and text attachments.\n */\nexport function attachmentsToParts(attachments: Attachment[]): ContentPart[] {\n const parts: ContentPart[] = [];\n\n for (const attachment of attachments) {\n let url;\n\n try {\n url = new URL(attachment.url);\n } catch (error) {\n throw new Error(`Invalid URL: ${attachment.url}`);\n }\n\n switch (url.protocol) {\n case 'http:':\n case 'https:': {\n if (attachment.contentType?.startsWith('image/')) {\n parts.push({ type: 'image', image: url });\n } else {\n if (!attachment.contentType) {\n throw new Error(\n 'If the attachment is not an image, it must specify a content type',\n );\n }\n\n parts.push({\n type: 'file',\n data: url,\n mimeType: attachment.contentType,\n });\n }\n break;\n }\n\n case 'data:': {\n let header;\n let base64Content;\n let mimeType;\n\n try {\n [header, base64Content] = attachment.url.split(',');\n mimeType = header.split(';')[0].split(':')[1];\n } catch (error) {\n throw new Error(`Error processing data URL: ${attachment.url}`);\n }\n\n if (mimeType == null || base64Content == null) {\n throw new Error(`Invalid data URL format: ${attachment.url}`);\n }\n\n if (attachment.contentType?.startsWith('image/')) {\n parts.push({\n type: 'image',\n image: convertDataContentToUint8Array(base64Content),\n });\n } else if (attachment.contentType?.startsWith('text/')) {\n parts.push({\n type: 'text',\n text: convertUint8ArrayToText(\n convertDataContentToUint8Array(base64Content),\n ),\n });\n } else {\n if (!attachment.contentType) {\n throw new Error(\n 'If the attachment is not an image or text, it must specify a content type',\n );\n }\n\n parts.push({\n type: 'file',\n data: base64Content,\n mimeType: attachment.contentType,\n });\n }\n\n break;\n }\n\n default: {\n throw new Error(`Unsupported URL protocol: ${url.protocol}`);\n }\n }\n }\n\n return parts;\n}\n","import { AISDKError } from '@ai-sdk/provider';\nimport { Message } from '@ai-sdk/ui-utils';\n\nconst name = 'AI_MessageConversionError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class MessageConversionError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly originalMessage: Omit<Message, 'id'>;\n\n constructor({\n originalMessage,\n message,\n }: {\n originalMessage: Omit<Message, 'id'>;\n message: string;\n }) {\n super({ name, message });\n\n this.originalMessage = originalMessage;\n }\n\n static isInstance(error: unknown): error is MessageConversionError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import {\n FileUIPart,\n Message,\n ReasoningUIPart,\n TextUIPart,\n ToolInvocationUIPart,\n} from '@ai-sdk/ui-utils';\nimport { ToolSet } from '../generate-text/tool-set';\nimport {\n AssistantContent,\n CoreMessage,\n ToolCallPart,\n ToolResultPart,\n} from '../prompt';\nimport { attachmentsToParts } from './attachments-to-parts';\nimport { MessageConversionError } from './message-conversion-error';\n\n/**\nConverts an array of messages from useChat into an array of CoreMessages that can be used\nwith the AI core functions (e.g. `streamText`).\n */\nexport function convertToCoreMessages<TOOLS extends ToolSet = never>(\n messages: Array<Omit<Message, 'id'>>,\n options?: { tools?: TOOLS },\n) {\n const tools = options?.tools ?? ({} as TOOLS);\n const coreMessages: CoreMessage[] = [];\n\n for (let i = 0; i < messages.length; i++) {\n const message = messages[i];\n const isLastMessage = i === messages.length - 1;\n const { role, content, experimental_attachments } = message;\n\n switch (role) {\n case 'system': {\n coreMessages.push({\n role: 'system',\n content,\n });\n break;\n }\n\n case 'user': {\n if (message.parts == null) {\n coreMessages.push({\n role: 'user',\n content: experimental_attachments\n ? [\n { type: 'text', text: content },\n ...attachmentsToParts(experimental_attachments),\n ]\n : content,\n });\n } else {\n const textParts = message.parts\n .filter(part => part.type === 'text')\n .map(part => ({\n type: 'text' as const,\n text: part.text,\n }));\n\n coreMessages.push({\n role: 'user',\n content: experimental_attachments\n ? [...textParts, ...attachmentsToParts(experimental_attachments)]\n : textParts,\n });\n }\n break;\n }\n\n case 'assistant': {\n if (message.parts != null) {\n let currentStep = 0;\n let blockHasToolInvocations = false;\n let block: Array<\n TextUIPart | ToolInvocationUIPart | ReasoningUIPart | FileUIPart\n > = [];\n\n function processBlock() {\n const content: AssistantContent = [];\n\n for (const part of block) {\n switch (part.type) {\n case 'file':\n case 'text': {\n content.push(part);\n break;\n }\n case 'reasoning': {\n for (const detail of part.details) {\n switch (detail.type) {\n case 'text':\n content.push({\n type: 'reasoning' as const,\n text: detail.text,\n signature: detail.signature,\n });\n break;\n case 'redacted':\n content.push({\n type: 'redacted-reasoning' as const,\n data: detail.data,\n });\n break;\n }\n }\n break;\n }\n case 'tool-invocation':\n content.push({\n type: 'tool-call' as const,\n toolCallId: part.toolInvocation.toolCallId,\n toolName: part.toolInvocation.toolName,\n args: part.toolInvocation.args,\n });\n break;\n default: {\n const _exhaustiveCheck: never = part;\n throw new Error(`Unsupported part: ${_exhaustiveCheck}`);\n }\n }\n }\n\n coreMessages.push({\n role: 'assistant',\n content,\n });\n\n // check if there are tool invocations with results in the block\n const stepInvocations = block\n .filter(\n (\n part:\n | TextUIPart\n | ToolInvocationUIPart\n | ReasoningUIPart\n | FileUIPart,\n ): part is ToolInvocationUIPart =>\n part.type === 'tool-invocation',\n )\n .map(part => part.toolInvocation);\n\n // tool message with tool results\n if (stepInvocations.length > 0) {\n coreMessages.push({\n role: 'tool',\n content: stepInvocations.map(\n (toolInvocation): ToolResultPart => {\n if (!('result' in toolInvocation)) {\n throw new MessageConversionError({\n originalMessage: message,\n message:\n 'ToolInvocation must have a result: ' +\n JSON.stringify(toolInvocation),\n });\n }\n\n const { toolCallId, toolName, result } = toolInvocation;\n\n const tool = tools[toolName];\n return tool?.experimental_toToolResultContent != null\n ? {\n type: 'tool-result',\n toolCallId,\n toolName,\n result: tool.experimental_toToolResultContent(result),\n experimental_content:\n tool.experimental_toToolResultContent(result),\n }\n : {\n type: 'tool-result',\n toolCallId,\n toolName,\n result,\n };\n },\n ),\n });\n }\n\n // updates for next block\n block = [];\n blockHasToolInvocations = false;\n currentStep++;\n }\n\n for (const part of message.parts) {\n switch (part.type) {\n case 'text': {\n if (blockHasToolInvocations) {\n processBlock(); // text must come before tool invocations\n }\n block.push(part);\n break;\n }\n case 'file':\n case 'reasoning': {\n block.push(part);\n break;\n }\n case 'tool-invocation': {\n if ((part.toolInvocation.step ?? 0) !== currentStep) {\n processBlock();\n }\n block.push(part);\n blockHasToolInvocations = true;\n break;\n }\n }\n }\n\n processBlock();\n\n break;\n }\n\n const toolInvocations = message.toolInvocations;\n\n if (toolInvocations == null || toolInvocations.length === 0) {\n coreMessages.push({ role: 'assistant', content });\n break;\n }\n\n const maxStep = toolInvocations.reduce((max, toolInvocation) => {\n return Math.max(max, toolInvocation.step ?? 0);\n }, 0);\n\n for (let i = 0; i <= maxStep; i++) {\n const stepInvocations = toolInvocations.filter(\n toolInvocation => (toolInvocation.step ?? 0) === i,\n );\n\n if (stepInvocations.length === 0) {\n continue;\n }\n\n // assistant message with tool calls\n coreMessages.push({\n role: 'assistant',\n content: [\n ...(isLastMessage && content && i === 0\n ? [{ type: 'text' as const, text: content }]\n : []),\n ...stepInvocations.map(\n ({ toolCallId, toolName, args }): ToolCallPart => ({\n type: 'tool-call' as const,\n toolCallId,\n toolName,\n args,\n }),\n ),\n ],\n });\n\n // tool message with tool results\n coreMessages.push({\n role: 'tool',\n content: stepInvocations.map((toolInvocation): ToolResultPart => {\n if (!('result' in toolInvocation)) {\n throw new MessageConversionError({\n originalMessage: message,\n message:\n 'ToolInvocation must have a result: ' +\n JSON.stringify(toolInvocation),\n });\n }\n\n const { toolCallId, toolName, result } = toolInvocation;\n\n const tool = tools[toolName];\n return tool?.experimental_toToolResultContent != null\n ? {\n type: 'tool-result',\n toolCallId,\n toolName,\n result: tool.experimental_toToolResultContent(result),\n experimental_content:\n tool.experimental_toToolResultContent(result),\n }\n : {\n type: 'tool-result',\n toolCallId,\n toolName,\n result,\n };\n }),\n });\n }\n\n if (content && !isLastMessage) {\n coreMessages.push({ role: 'assistant', content });\n }\n\n break;\n }\n\n case 'data': {\n // ignore\n break;\n }\n\n default: {\n const _exhaustiveCheck: never = role;\n throw new MessageConversionError({\n originalMessage: message,\n message: `Unsupported role: ${_exhaustiveCheck}`,\n });\n }\n }\n }\n\n return coreMessages;\n}\n","import { z } from 'zod';\nimport { ProviderMetadata } from '../types';\nimport {\n providerMetadataSchema,\n ProviderOptions,\n} from '../types/provider-metadata';\nimport {\n FilePart,\n filePartSchema,\n ImagePart,\n imagePartSchema,\n ReasoningPart,\n reasoningPartSchema,\n RedactedReasoningPart,\n redactedReasoningPartSchema,\n TextPart,\n textPartSchema,\n ToolCallPart,\n toolCallPartSchema,\n ToolResultPart,\n toolResultPartSchema,\n} from './content-part';\n\n/**\n A system message. It can contain system information.\n\n Note: using the \"system\" part of the prompt is strongly preferred\n to increase the resilience against prompt injection attacks,\n and because not all providers support several system messages.\n */\nexport type CoreSystemMessage = {\n role: 'system';\n content: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n};\n\nexport const coreSystemMessageSchema: z.ZodType<CoreSystemMessage> = z.object({\n role: z.literal('system'),\n content: z.string(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nA user message. It can contain text or a combination of text and images.\n */\nexport type CoreUserMessage = {\n role: 'user';\n content: UserContent;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n*/\n experimental_providerMetadata?: ProviderMetadata;\n};\n\nexport const coreUserMessageSchema: z.ZodType<CoreUserMessage> = z.object({\n role: z.literal('user'),\n content: z.union([\n z.string(),\n z.array(z.union([textPartSchema, imagePartSchema, filePartSchema])),\n ]),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nContent of a user message. It can be a string or an array of text and image parts.\n */\nexport type UserContent = string | Array<TextPart | ImagePart | FilePart>;\n\n/**\nAn assistant message. It can contain text, tool calls, or a combination of text and tool calls.\n */\nexport type CoreAssistantMessage = {\n role: 'assistant';\n content: AssistantContent;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n*/\n experimental_providerMetadata?: ProviderMetadata;\n};\n\nexport const coreAssistantMessageSchema: z.ZodType<CoreAssistantMessage> =\n z.object({\n role: z.literal('assistant'),\n content: z.union([\n z.string(),\n z.array(\n z.union([\n textPartSchema,\n filePartSchema,\n reasoningPartSchema,\n redactedReasoningPartSchema,\n toolCallPartSchema,\n ]),\n ),\n ]),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n });\n\n/**\nContent of an assistant message.\nIt can be a string or an array of text, image, reasoning, redacted reasoning, and tool call parts.\n */\nexport type AssistantContent =\n | string\n | Array<\n TextPart | FilePart | ReasoningPart | RedactedReasoningPart | ToolCallPart\n >;\n\n/**\nA tool message. It contains the result of one or more tool calls.\n */\nexport type CoreToolMessage = {\n role: 'tool';\n content: ToolContent;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n*/\n experimental_providerMetadata?: ProviderMetadata;\n};\n\nexport const coreToolMessageSchema: z.ZodType<CoreToolMessage> = z.object({\n role: z.literal('tool'),\n content: z.array(toolResultPartSchema),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nContent of a tool message. It is an array of tool result parts.\n */\nexport type ToolContent = Array<ToolResultPart>;\n\n/**\nA message that can be used in the `messages` field of a prompt.\nIt can be a user message, an assistant message, or a tool message.\n */\nexport type CoreMessage =\n | CoreSystemMessage\n | CoreUserMessage\n | CoreAssistantMessage\n | CoreToolMessage;\n\nexport const coreMessageSchema: z.ZodType<CoreMessage> = z.union([\n coreSystemMessageSchema,\n coreUserMessageSchema,\n coreAssistantMessageSchema,\n coreToolMessageSchema,\n]);\n","import { LanguageModelV1ProviderMetadata } from '@ai-sdk/provider';\nimport { z } from 'zod';\nimport { jsonValueSchema } from './json-value';\n\n/**\nAdditional provider-specific metadata that is returned from the provider.\n\nThis is needed to enable provider-specific functionality that can be\nfully encapsulated in the provider.\n */\nexport type ProviderMetadata = LanguageModelV1ProviderMetadata;\n\n/**\nAdditional provider-specific options.\n\nThey are passed through to the provider from the AI SDK and enable\nprovider-specific functionality that can be fully encapsulated in the provider.\n */\n// TODO change to LanguageModelV2ProviderOptions in language model v2\nexport type ProviderOptions = LanguageModelV1ProviderMetadata;\n\nexport const providerMetadataSchema: z.ZodType<ProviderMetadata> = z.record(\n z.string(),\n z.record(z.string(), jsonValueSchema),\n);\n","import { JSONValue } from '@ai-sdk/provider';\nimport { z } from 'zod';\n\nexport const jsonValueSchema: z.ZodType<JSONValue> = z.lazy(() =>\n z.union([\n z.null(),\n z.string(),\n z.number(),\n z.boolean(),\n z.record(z.string(), jsonValueSchema),\n z.array(jsonValueSchema),\n ]),\n);\n","import { z } from 'zod';\nimport {\n ProviderMetadata,\n providerMetadataSchema,\n ProviderOptions,\n} from '../types/provider-metadata';\nimport { DataContent, dataContentSchema } from './data-content';\nimport {\n ToolResultContent,\n toolResultContentSchema,\n} from './tool-result-content';\n\n/**\nText content part of a prompt. It contains a string of text.\n */\nexport interface TextPart {\n type: 'text';\n\n /**\nThe text content.\n */\n text: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const textPartSchema: z.ZodType<TextPart> = z.object({\n type: z.literal('text'),\n text: z.string(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nImage content part of a prompt. It contains an image.\n */\nexport interface ImagePart {\n type: 'image';\n\n /**\nImage data. Can either be:\n\n- data: a base64-encoded string, a Uint8Array, an ArrayBuffer, or a Buffer\n- URL: a URL that points to the image\n */\n image: DataContent | URL;\n\n /**\nOptional mime type of the image.\n */\n mimeType?: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const imagePartSchema: z.ZodType<ImagePart> = z.object({\n type: z.literal('image'),\n image: z.union([dataContentSchema, z.instanceof(URL)]),\n mimeType: z.string().optional(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nFile content part of a prompt. It contains a file.\n */\nexport interface FilePart {\n type: 'file';\n\n /**\nFile data. Can either be:\n\n- data: a base64-encoded string, a Uint8Array, an ArrayBuffer, or a Buffer\n- URL: a URL that points to the image\n */\n data: DataContent | URL;\n\n /**\nOptional filename of the file.\n */\n filename?: string;\n\n /**\nMime type of the file.\n */\n mimeType: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const filePartSchema: z.ZodType<FilePart> = z.object({\n type: z.literal('file'),\n data: z.union([dataContentSchema, z.instanceof(URL)]),\n filename: z.string().optional(),\n mimeType: z.string(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\n * Reasoning content part of a prompt. It contains a reasoning.\n */\nexport interface ReasoningPart {\n type: 'reasoning';\n\n /**\nThe reasoning text.\n */\n text: string;\n\n /**\nAn optional signature for verifying that the reasoning originated from the model.\n */\n signature?: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const reasoningPartSchema: z.ZodType<ReasoningPart> = z.object({\n type: z.literal('reasoning'),\n text: z.string(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n});\n\n/**\nRedacted reasoning content part of a prompt.\n */\nexport interface RedactedReasoningPart {\n type: 'redacted-reasoning';\n\n /**\nRedacted reasoning data.\n */\n data: string;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const redactedReasoningPartSchema: z.ZodType<RedactedReasoningPart> =\n z.object({\n type: z.literal('redacted-reasoning'),\n data: z.string(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n });\n\n/**\nTool call content part of a prompt. It contains a tool call (usually generated by the AI model).\n */\nexport interface ToolCallPart {\n type: 'tool-call';\n\n /**\nID of the tool call. This ID is used to match the tool call with the tool result.\n */\n toolCallId: string;\n\n /**\nName of the tool that is being called.\n */\n toolName: string;\n\n /**\nArguments of the tool call. This is a JSON-serializable object that matches the tool's input schema.\n */\n args: unknown;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const toolCallPartSchema: z.ZodType<ToolCallPart> = z.object({\n type: z.literal('tool-call'),\n toolCallId: z.string(),\n toolName: z.string(),\n args: z.unknown(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n}) as z.ZodType<ToolCallPart>; // necessary bc args is optional on Zod type\n\n/**\nTool result content part of a prompt. It contains the result of the tool call with the matching ID.\n */\nexport interface ToolResultPart {\n type: 'tool-result';\n\n /**\nID of the tool call that this result is associated with.\n */\n toolCallId: string;\n\n /**\nName of the tool that generated this result.\n */\n toolName: string;\n\n /**\nResult of the tool call. This is a JSON-serializable object.\n */\n result: unknown;\n\n /**\nMulti-part content of the tool result. Only for tools that support multipart results.\n */\n experimental_content?: ToolResultContent;\n\n /**\nOptional flag if the result is an error or an error message.\n */\n isError?: boolean;\n\n /**\nAdditional provider-specific metadata. They are passed through\nto the provider from the AI SDK and enable provider-specific\nfunctionality that can be fully encapsulated in the provider.\n */\n providerOptions?: ProviderOptions;\n\n /**\n@deprecated Use `providerOptions` instead.\n */\n experimental_providerMetadata?: ProviderMetadata;\n}\n\n/**\n@internal\n */\nexport const toolResultPartSchema: z.ZodType<ToolResultPart> = z.object({\n type: z.literal('tool-result'),\n toolCallId: z.string(),\n toolName: z.string(),\n result: z.unknown(),\n content: toolResultContentSchema.optional(),\n isError: z.boolean().optional(),\n providerOptions: providerMetadataSchema.optional(),\n experimental_providerMetadata: providerMetadataSchema.optional(),\n}) as z.ZodType<ToolResultPart>; // necessary bc result is optional on Zod type\n","import { z } from 'zod';\n\nexport type ToolResultContent = Array<\n | {\n type: 'text';\n text: string;\n }\n | {\n type: 'image';\n data: string; // base64 encoded png image, e.g. screenshot\n mimeType?: string; // e.g. 'image/png';\n }\n>;\n\nexport const toolResultContentSchema: z.ZodType<ToolResultContent> = z.array(\n z.union([\n z.object({ type: z.literal('text'), text: z.string() }),\n z.object({\n type: z.literal('image'),\n data: z.string(),\n mimeType: z.string().optional(),\n }),\n ]),\n);\n\nexport function isToolResultContent(\n value: unknown,\n): value is ToolResultContent {\n if (!Array.isArray(value) || value.length === 0) {\n return false;\n }\n\n return value.every(part => {\n if (typeof part !== 'object' || part === null) {\n return false;\n }\n\n if (part.type === 'text') {\n return typeof part.text === 'string';\n }\n\n if (part.type === 'image') {\n return (\n typeof part.data === 'string' &&\n (part.mimeType === undefined || typeof part.mimeType === 'string')\n );\n }\n\n return false;\n });\n}\n","/**\nRepresents the number of tokens used in a prompt and completion.\n */\nexport type LanguageModelUsage = {\n /**\nThe number of tokens used in the prompt.\n */\n promptTokens: number;\n\n /**\nThe number of tokens used in the completion.\n */\n completionTokens: number;\n\n /**\nThe total number of tokens used (promptTokens + completionTokens).\n */\n totalTokens: number;\n};\n\n/**\nRepresents the number of tokens used in an embedding.\n */\nexport type EmbeddingModelUsage = {\n /**\nThe number of tokens used in the embedding.\n */\n tokens: number;\n};\n\nexport function calculateLanguageModelUsage({\n promptTokens,\n completionTokens,\n}: {\n promptTokens: number;\n completionTokens: number;\n}): LanguageModelUsage {\n return {\n promptTokens,\n completionTokens,\n totalTokens: promptTokens + completionTokens,\n };\n}\n\nexport function addLanguageModelUsage(\n usage1: LanguageModelUsage,\n usage2: LanguageModelUsage,\n): LanguageModelUsage {\n return {\n promptTokens: usage1.promptTokens + usage2.promptTokens,\n completionTokens: usage1.completionTokens + usage2.completionTokens,\n totalTokens: usage1.totalTokens + usage2.totalTokens,\n };\n}\n","import { AISDKError, getErrorMessage } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidToolArgumentsError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidToolArgumentsError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly toolName: string;\n readonly toolArgs: string;\n\n constructor({\n toolArgs,\n toolName,\n cause,\n message = `Invalid arguments for tool ${toolName}: ${getErrorMessage(\n cause,\n )}`,\n }: {\n message?: string;\n toolArgs: string;\n toolName: string;\n cause: unknown;\n }) {\n super({ name, message, cause });\n\n this.toolArgs = toolArgs;\n this.toolName = toolName;\n }\n\n static isInstance(error: unknown): error is InvalidToolArgumentsError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_NoSuchToolError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class NoSuchToolError extends AISDKError {\n private readonly [symbol] = true; // used in isInstance\n\n readonly toolName: string;\n readonly availableTools: string[] | undefined;\n\n constructor({\n toolName,\n availableTools = undefined,\n message = `Model tried to call unavailable tool '${toolName}'. ${\n availableTools === undefined\n ? 'No tools are available.'\n : `Available tools: ${availableTools.join(', ')}.`\n }`,\n }: {\n toolName: string;\n availableTools?: string[] | undefined;\n message?: string;\n }) {\n super({ name, message });\n\n this.toolName = toolName;\n this.availableTools = availableTools;\n }\n\n static isInstance(error: unknown): error is NoSuchToolError {\n return AISDKError.hasMarker(error, marker);\n }\n}\n","export function isAsyncGenerator<T, TReturn, TNext>(\n value: unknown,\n): value is AsyncGenerator<T, TReturn, TNext> {\n return (\n value != null && typeof value === 'object' && Symbol.asyncIterator in value\n );\n}\n","export function isGenerator<T, TReturn, TNext>(\n value: unknown,\n): value is Generator<T, TReturn, TNext> {\n return value != null && typeof value === 'object' && Symbol.iterator in value;\n}\n","/**\n * Warning time for notifying developers that a stream is hanging in dev mode\n * using a console.warn.\n */\nexport const HANGING_STREAM_WARNING_TIME_MS = 15 * 1000;\n","import React, { Suspense } from 'react';\nimport { createResolvablePromise } from '../../util/create-resolvable-promise';\n\n// Recursive type for the chunk.\ntype ChunkType =\n | {\n done: false;\n value: React.ReactNode;\n next: Promise<ChunkType>;\n append?: boolean;\n }\n | {\n done: true;\n value: React.ReactNode;\n };\n\n// Use single letter names for the variables to reduce the size of the RSC payload.\n// `R` for `Row`, `c` for `current`, `n` for `next`.\n// Note: Array construction is needed to access the name R.\nconst R = [\n (async ({\n c: current,\n n: next,\n }: {\n c: React.ReactNode;\n n: Promise<ChunkType>;\n }) => {\n const chunk = await next;\n\n if (chunk.done) {\n return chunk.value;\n }\n\n if (chunk.append) {\n return (\n <>\n {current}\n <Suspense fallback={chunk.value}>\n <R c={chunk.value} n={chunk.next} />\n </Suspense>\n </>\n );\n }\n\n return (\n <Suspense fallback={chunk.value}>\n <R c={chunk.value} n={chunk.next} />\n </Suspense>\n );\n }) as unknown as React.FC<{\n c: React.ReactNode;\n n: Promise<ChunkType>;\n }>,\n][0];\n\n/**\n * Creates a suspended chunk for React Server Components.\n *\n * This function generates a suspenseful React component that can be dynamically updated.\n * It's useful for streaming updates to the client in a React Server Components context.\n *\n * @param {React.ReactNode} initialValue - The initial value to render while the promise is pending.\n * @returns {Object} An object containing:\n * - row: A React node that renders the suspenseful content.\n * - resolve: A function to resolve the promise with a new value.\n * - reject: A function to reject the promise with an error.\n */\nexport function createSuspendedChunk(initialValue: React.ReactNode): {\n row: React.ReactNode;\n resolve: (value: ChunkType) => void;\n reject: (error: unknown) => void;\n} {\n const { promise, resolve, reject } = createResolvablePromise<ChunkType>();\n\n return {\n row: (\n <Suspense fallback={initialValue}>\n <R c={initialValue} n={promise} />\n </Suspense>\n ),\n resolve,\n reject,\n };\n}\n","import { HANGING_STREAM_WARNING_TIME_MS } from '../../util/constants';\nimport { createResolvablePromise } from '../../util/create-resolvable-promise';\nimport { createSuspendedChunk } from './create-suspended-chunk';\n\n// It's necessary to define the type manually here, otherwise TypeScript compiler\n// will not be able to infer the correct return type as it's circular.\ntype StreamableUIWrapper = {\n /**\n * The value of the streamable UI. This can be returned from a Server Action and received by the client.\n */\n readonly value: React.ReactNode;\n\n /**\n * This method updates the current UI node. It takes a new UI node and replaces the old one.\n */\n update(value: React.ReactNode): StreamableUIWrapper;\n\n /**\n * This method is used to append a new UI node to the end of the old one.\n * Once appended a new UI node, the previous UI node cannot be updated anymore.\n *\n * @example\n * ```jsx\n * const ui = createStreamableUI(<div>hello</div>)\n * ui.append(<div>world</div>)\n *\n * // The UI node will be:\n * // <>\n * // <div>hello</div>\n * // <div>world</div>\n * // </>\n * ```\n */\n append(value: React.ReactNode): StreamableUIWrapper;\n\n /**\n * This method is used to signal that there is an error in the UI stream.\n * It will be thrown on the client side and caught by the nearest error boundary component.\n */\n error(error: any): StreamableUIWrapper;\n\n /**\n * This method marks the UI node as finalized. You can either call it without any parameters or with a new UI node as the final state.\n * Once called, the UI node cannot be updated or appended anymore.\n *\n * This method is always **required** to be called, otherwise the response will be stuck in a loading state.\n */\n done(...args: [React.ReactNode] | []): StreamableUIWrapper;\n};\n\n/**\n * Create a piece of changeable UI that can be streamed to the client.\n * On the client side, it can be rendered as a normal React node.\n */\nfunction createStreamableUI(initialValue?: React.ReactNode) {\n let currentValue = initialValue;\n let closed = false;\n let { row, resolve, reject } = createSuspendedChunk(initialValue);\n\n function assertStream(method: string) {\n if (closed) {\n throw new Error(method + ': UI stream is already closed.');\n }\n }\n\n let warningTimeout: NodeJS.Timeout | undefined;\n function warnUnclosedStream() {\n if (process.env.NODE_ENV === 'development') {\n if (warningTimeout) {\n clearTimeout(warningTimeout);\n }\n warningTimeout = setTimeout(() => {\n console.warn(\n 'The streamable UI has been slow to update. This may be a bug or a performance issue or you forgot to call `.done()`.',\n );\n }, HANGING_STREAM_WARNING_TIME_MS);\n }\n }\n warnUnclosedStream();\n\n const streamable: StreamableUIWrapper = {\n value: row,\n update(value: React.ReactNode) {\n assertStream('.update()');\n\n // There is no need to update the value if it's referentially equal.\n if (value === currentValue) {\n warnUnclosedStream();\n return streamable;\n }\n\n const resolvable = createResolvablePromise();\n currentValue = value;\n\n resolve({ value: currentValue, done: false, next: resolvable.promise });\n resolve = resolvable.resolve;\n reject = resolvable.reject;\n\n warnUnclosedStream();\n\n return streamable;\n },\n append(value: React.ReactNode) {\n assertStream('.append()');\n\n const resolvable = createResolvablePromise();\n currentValue = value;\n\n resolve({ value, done: false, append: true, next: resolvable.promise });\n resolve = resolvable.resolve;\n reject = resolvable.reject;\n\n warnUnclosedStream();\n\n return streamable;\n },\n error(error: any) {\n assertStream('.error()');\n\n if (warningTimeout) {\n clearTimeout(warningTimeout);\n }\n closed = true;\n reject(error);\n\n return streamable;\n },\n done(...args: [] | [React.ReactNode]) {\n assertStream('.done()');\n\n if (warningTimeout) {\n clearTimeout(warningTimeout);\n }\n closed = true;\n if (args.length) {\n resolve({ value: args[0], done: true });\n return streamable;\n }\n resolve({ value: currentValue, done: true });\n\n return streamable;\n },\n };\n\n return streamable;\n}\n\nexport { createStreamableUI };\n","export const STREAMABLE_VALUE_TYPE = Symbol.for('ui.streamable.value');\n\nexport type StreamablePatch = undefined | [0, string]; 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This can be returned from a Server Action and\n * received by the client. To read the streamed values, use the\n * `readStreamableValue` or `useStreamableValue` APIs.\n */\n readonly value: StreamableValue<T, E>;\n\n /**\n * This method updates the current value with a new one.\n */\n update(value: T): StreamableValueWrapper<T, E>;\n\n /**\n * This method is used to append a delta string to the current value. 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