@ai-sdk/react - npm Package Compare versions

Comparing version 2.0.0-alpha.9 to 2.0.0-alpha.10

CHANGELOG.md

 # @ai-sdk/react
 
+## 2.0.0-alpha.10
+
+### Major Changes
+
+- 98f25e5: chore (ui): remove managed chat inputs
+
+### Patch Changes
+
+- Updated dependencies [98f25e5]
+- Updated dependencies [7bb58d4]
+  - ai@5.0.0-alpha.10
+  - @ai-sdk/provider-utils@3.0.0-alpha.10
+
 ## 2.0.0-alpha.9
@@ -4,0 +17,0 @@

dist/index.d.mts

@@ -1,2 +0,2 @@
-import { UIDataPartSchemas, AbstractChat, BaseChatInit, UIMessage, InferUIDataParts, ChatRequestOptions, FileUIPart, CompletionRequestOptions, UseCompletionOptions, Schema, DeepPartial } from 'ai';
+import { UIDataPartSchemas, AbstractChat, ChatInit, UIMessage, InferUIDataParts, CompletionRequestOptions, UseCompletionOptions, Schema, DeepPartial } from 'ai';
 export { CreateUIMessage, UIMessage, UseCompletionOptions } from 'ai';
@@ -8,3 +8,3 @@ import { FetchFunction, InferSchema } from '@ai-sdk/provider-utils';
 declare class Chat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {
-    constructor({ messages, ...init }: BaseChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>);
+    constructor({ messages, ...init }: ChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>);
 }
@@ -23,25 +23,8 @@
     setMessages: (messages: UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[] | ((messages: UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]) => UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[])) => void;
-    /** The current value of the input */
-    input: string;
-    /** setState-powered method to update the input value */
-    setInput: React.Dispatch<React.SetStateAction<string>>;
-    /** An input/textarea-ready onChange handler to control the value of the input */
-    handleInputChange: (e: React.ChangeEvent<HTMLInputElement> | React.ChangeEvent<HTMLTextAreaElement>) => void;
-    /** Form submission handler to automatically reset input and append a user message */
-    handleSubmit: (event?: {
-        preventDefault?: () => void;
-    }, chatRequestOptions?: ChatRequestOptions & {
-        files?: FileList | FileUIPart[];
-    }) => void;
     error: Error | undefined;
-} & Pick<AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>, 'append' | 'reload' | 'stop' | 'experimental_resume' | 'addToolResult' | 'status' | 'messages'>;
+} & Pick<AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>, 'sendMessage' | 'reload' | 'stop' | 'experimental_resume' | 'addToolResult' | 'status' | 'messages'>;
 type UseChatOptions<MESSAGE_METADATA = unknown, DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas> = ({
     chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>;
-} | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>) & {
+} | ChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>) & {
     /**
-    /**
-     * Initial input of the chat.
-     */
-    initialInput?: string;
-    /**
   Custom throttle wait in ms for the chat messages and data updates.
@@ -52,3 +35,3 @@ Default is undefined, which disables throttling.
 };
-declare function useChat<MESSAGE_METADATA = unknown, DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas>({ initialInput, experimental_throttle: throttleWaitMs, ...options }?: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS>): UseChatHelpers<MESSAGE_METADATA, DATA_PART_SCHEMAS>;
+declare function useChat<MESSAGE_METADATA = unknown, DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas>({ experimental_throttle: throttleWaitMs, ...options }?: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS>): UseChatHelpers<MESSAGE_METADATA, DATA_PART_SCHEMAS>;
 
@@ -55,0 +38,0 @@ type UseCompletionHelpers = {

dist/index.d.ts

@@ -1,2 +0,2 @@
-import { UIDataPartSchemas, AbstractChat, BaseChatInit, UIMessage, InferUIDataParts, ChatRequestOptions, FileUIPart, CompletionRequestOptions, UseCompletionOptions, Schema, DeepPartial } from 'ai';
+import { UIDataPartSchemas, AbstractChat, ChatInit, UIMessage, InferUIDataParts, CompletionRequestOptions, UseCompletionOptions, Schema, DeepPartial } from 'ai';
 export { CreateUIMessage, UIMessage, UseCompletionOptions } from 'ai';
@@ -8,3 +8,3 @@ import { FetchFunction, InferSchema } from '@ai-sdk/provider-utils';
 declare class Chat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {
-    constructor({ messages, ...init }: BaseChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>);
+    constructor({ messages, ...init }: ChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>);
 }
@@ -23,25 +23,8 @@
     setMessages: (messages: UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[] | ((messages: UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]) => UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[])) => void;
-    /** The current value of the input */
-    input: string;
-    /** setState-powered method to update the input value */
-    setInput: React.Dispatch<React.SetStateAction<string>>;
-    /** An input/textarea-ready onChange handler to control the value of the input */
-    handleInputChange: (e: React.ChangeEvent<HTMLInputElement> | React.ChangeEvent<HTMLTextAreaElement>) => void;
-    /** Form submission handler to automatically reset input and append a user message */
-    handleSubmit: (event?: {
-        preventDefault?: () => void;
-    }, chatRequestOptions?: ChatRequestOptions & {
-        files?: FileList | FileUIPart[];
-    }) => void;
     error: Error | undefined;
-} & Pick<AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>, 'append' | 'reload' | 'stop' | 'experimental_resume' | 'addToolResult' | 'status' | 'messages'>;
+} & Pick<AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>, 'sendMessage' | 'reload' | 'stop' | 'experimental_resume' | 'addToolResult' | 'status' | 'messages'>;
 type UseChatOptions<MESSAGE_METADATA = unknown, DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas> = ({
     chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>;
-} | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>) & {
+} | ChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>) & {
     /**
-    /**
-     * Initial input of the chat.
-     */
-    initialInput?: string;
-    /**
   Custom throttle wait in ms for the chat messages and data updates.
@@ -52,3 +35,3 @@ Default is undefined, which disables throttling.
 };
-declare function useChat<MESSAGE_METADATA = unknown, DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas>({ initialInput, experimental_throttle: throttleWaitMs, ...options }?: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS>): UseChatHelpers<MESSAGE_METADATA, DATA_PART_SCHEMAS>;
+declare function useChat<MESSAGE_METADATA = unknown, DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas>({ experimental_throttle: throttleWaitMs, ...options }?: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS>): UseChatHelpers<MESSAGE_METADATA, DATA_PART_SCHEMAS>;
 
@@ -55,0 +38,0 @@ type UseCompletionHelpers = {

dist/index.js

@@ -59,3 +59,2 @@ "use strict";
 // src/use-chat.ts
-var import_ai2 = require("ai");
 var import_react = require("react");
@@ -112,3 +111,2 @@
 function useChat({
-  initialInput = "",
   experimental_throttle: throttleWaitMs,
@@ -166,29 +164,2 @@ ...options
   );
-  const [input, setInput] = (0, import_react.useState)(initialInput);
-  const handleSubmit = (0, import_react.useCallback)(
-    async (event, options2 = {}) => {
-      var _a;
-      (_a = event == null ? void 0 : event.preventDefault) == null ? void 0 : _a.call(event);
-      const fileParts = Array.isArray(options2 == null ? void 0 : options2.files) ? options2.files : await (0, import_ai2.convertFileListToFileUIParts)(options2 == null ? void 0 : options2.files);
-      if (!input && fileParts.length === 0)
-        return;
-      chatRef.current.append(
-        {
-          id: chatRef.current.generateId(),
-          role: "user",
-          metadata: void 0,
-          parts: [...fileParts, { type: "text", text: input }]
-        },
-        {
-          headers: options2.headers,
-          body: options2.body
-        }
-      );
-      setInput("");
-    },
-    [input, chatRef]
-  );
-  const handleInputChange = (e) => {
-    setInput(e.target.value);
-  };
   return {
@@ -198,3 +169,3 @@ id: chatRef.current.id,
     setMessages,
-    append: chatRef.current.append,
+    sendMessage: chatRef.current.sendMessage,
     reload: chatRef.current.reload,
@@ -204,6 +175,2 @@ stop: chatRef.current.stop,
     experimental_resume: chatRef.current.experimental_resume,
-    input,
-    setInput,
-    handleInputChange,
-    handleSubmit,
     status,
@@ -215,3 +182,3 @@ addToolResult
 // src/use-completion.ts
-var import_ai3 = require("ai");
+var import_ai2 = require("ai");
 var import_react2 = require("react");
@@ -258,3 +225,3 @@ var import_swr = __toESM(require("swr"));
   const triggerRequest = (0, import_react2.useCallback)(
-    async (prompt, options) => (0, import_ai3.callCompletionApi)({
+    async (prompt, options) => (0, import_ai2.callCompletionApi)({
       api,
@@ -344,3 +311,3 @@ prompt,
 var import_provider_utils = require("@ai-sdk/provider-utils");
-var import_ai4 = require("ai");
+var import_ai3 = require("ai");
 var import_react3 = require("react");
@@ -414,5 +381,5 @@ var import_swr2 = __toESM(require("swr"));
             accumulatedText += chunk;
-            const { value } = await (0, import_ai4.parsePartialJson)(accumulatedText);
+            const { value } = await (0, import_ai3.parsePartialJson)(accumulatedText);
             const currentObject = value;
-            if (!(0, import_ai4.isDeepEqualData)(latestObject, currentObject)) {
+            if (!(0, import_ai3.isDeepEqualData)(latestObject, currentObject)) {
               latestObject = currentObject;
@@ -428,3 +395,3 @@ mutate(currentObject);
                 value: latestObject,
-                schema: (0, import_ai4.asSchema)(schema)
+                schema: (0, import_ai3.asSchema)(schema)
               });
@@ -431,0 +398,0 @@ onFinish(

dist/index.js.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/index.ts","../src/use-chat.ts","../src/chat.react.ts","../src/throttle.ts","../src/use-completion.ts","../src/use-object.ts"],"sourcesContent":["export * from './use-chat';\nexport { Chat } from './chat.react';\nexport * from './use-completion';\nexport * from './use-object';\n","import {\n  AbstractChat,\n  BaseChatInit,\n  ChatEvent,\n  convertFileListToFileUIParts,\n  InferUIDataParts,\n  UIDataPartSchemas,\n  type ChatRequestOptions,\n  type CreateUIMessage,\n  type FileUIPart,\n  type UIMessage,\n} from 'ai';\nimport { useCallback, useRef, useState, useSyncExternalStore } from 'react';\nimport { Chat } from './chat.react';\nimport { throttle } from './throttle';\n\nexport type { CreateUIMessage, UIMessage };\n\nexport type UseChatHelpers<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = {\n  /**\n   * The id of the chat.\n   */\n  readonly id: string;\n\n  /**\n   * Update the `messages` state locally. This is useful when you want to\n   * edit the messages on the client, and then trigger the `reload` method\n   * manually to regenerate the AI response.\n   */\n  setMessages: (\n    messages:\n      | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n      | ((\n          messages: UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[],\n        ) => UIMessage<\n          MESSAGE_METADATA,\n          InferUIDataParts<DATA_PART_SCHEMAS>\n        >[]),\n  ) => void;\n\n  /** The current value of the input */\n  input: string;\n\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n\n  /** An input/textarea-ready onChange handler to control the value of the input */\n  handleInputChange: (\n    e:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /** Form submission handler to automatically reset input and append a user message */\n  handleSubmit: (\n    event?: { preventDefault?: () => void },\n    chatRequestOptions?: ChatRequestOptions & {\n      files?: FileList | FileUIPart[];\n    },\n  ) => void;\n\n  error: Error | undefined;\n} & Pick<\n  AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>,\n  | 'append'\n  | 'reload'\n  | 'stop'\n  | 'experimental_resume'\n  | 'addToolResult'\n  | 'status'\n  | 'messages'\n>;\n\nexport type UseChatOptions<\n  MESSAGE_METADATA = unknown,\n  DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = (\n  | { chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS> }\n  | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>\n) & {\n  /**\n  /**\n   * Initial input of the chat.\n   */\n  initialInput?: string;\n\n  /**\nCustom throttle wait in ms for the chat messages and data updates.\nDefault is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n};\n\nexport function useChat<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n>({\n  initialInput = '',\n  experimental_throttle: throttleWaitMs,\n  ...options\n}: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS> = {}): UseChatHelpers<\n  MESSAGE_METADATA,\n  DATA_PART_SCHEMAS\n> {\n  const chatRef = useRef('chat' in options ? options.chat : new Chat(options));\n\n  const subscribe = useCallback(\n    ({\n      onStoreChange,\n      eventType,\n    }: {\n      onStoreChange: () => void;\n      eventType: ChatEvent['type'];\n    }) =>\n      chatRef.current.subscribe({\n        onChange: event => {\n          if (event.type !== eventType) return;\n          onStoreChange();\n        },\n      }),\n    [chatRef],\n  );\n\n  const addToolResult = useCallback(\n    (\n      options: Parameters<\n        Chat<MESSAGE_METADATA, DATA_PART_SCHEMAS>['addToolResult']\n      >[0],\n    ) => chatRef.current.addToolResult(options),\n    [chatRef],\n  );\n\n  const status = useSyncExternalStore(\n    callback =>\n      subscribe({\n        onStoreChange: callback,\n        eventType: 'status-changed',\n      }),\n    () => chatRef.current.status,\n    () => chatRef.current.status,\n  );\n\n  const subscribeToChatStoreForMessages = useCallback(\n    (callback: () => void) => {\n      return subscribe({\n        onStoreChange: throttleWaitMs\n          ? throttle(callback, throttleWaitMs)\n          : callback,\n        eventType: 'messages-changed',\n      });\n    },\n    [subscribe, throttleWaitMs],\n  );\n\n  const messages = useSyncExternalStore(\n    callback => subscribeToChatStoreForMessages(callback),\n    () => chatRef.current.messages,\n    () => chatRef.current.messages,\n  );\n\n  const setMessages = useCallback(\n    (\n      messagesParam:\n        | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n        | ((\n            messages: UIMessage<\n              MESSAGE_METADATA,\n              InferUIDataParts<DATA_PART_SCHEMAS>\n            >[],\n          ) => UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[]),\n    ) => {\n      if (typeof messagesParam === 'function') {\n        messagesParam = messagesParam(messages);\n      }\n\n      chatRef.current.messages = messagesParam;\n    },\n    [chatRef, messages],\n  );\n\n  // Input state and handlers.\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    async (\n      event?: { preventDefault?: () => void },\n      options: ChatRequestOptions & {\n        files?: FileList | FileUIPart[];\n      } = {},\n    ) => {\n      event?.preventDefault?.();\n\n      const fileParts = Array.isArray(options?.files)\n        ? options.files\n        : await convertFileListToFileUIParts(options?.files);\n\n      if (!input && fileParts.length === 0) return;\n\n      chatRef.current.append(\n        {\n          id: chatRef.current.generateId(),\n          role: 'user',\n          metadata: undefined,\n          parts: [...fileParts, { type: 'text', text: input }],\n        },\n        {\n          headers: options.headers,\n          body: options.body,\n        },\n      );\n\n      setInput('');\n    },\n    [input, chatRef],\n  );\n\n  const handleInputChange = (e: any) => {\n    setInput(e.target.value);\n  };\n\n  return {\n    id: chatRef.current.id,\n    messages,\n    setMessages,\n    append: chatRef.current.append,\n    reload: chatRef.current.reload,\n    stop: chatRef.current.stop,\n    error: chatRef.current.error,\n    experimental_resume: chatRef.current.experimental_resume,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    status,\n    addToolResult,\n  };\n}\n","import {\n  AbstractChat,\n  BaseChatInit,\n  ChatState,\n  ChatStatus,\n  UIDataPartSchemas,\n  UIDataTypes,\n  UIMessage,\n} from 'ai';\n\nclass ReactChatState<MESSAGE_METADATA, DATA_TYPES extends UIDataTypes>\n  implements ChatState<MESSAGE_METADATA, DATA_TYPES>\n{\n  #messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[];\n  status: ChatStatus = 'ready';\n  error: Error | undefined = undefined;\n\n  constructor(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[] = []) {\n    this.#messages = messages;\n  }\n\n  get messages() {\n    return this.#messages;\n  }\n\n  set messages(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[]) {\n    this.#messages = [...messages];\n  }\n\n  pushMessage = (message: UIMessage<MESSAGE_METADATA, DATA_TYPES>) => {\n    this.#messages = this.messages.concat(message);\n  };\n\n  popMessage = () => {\n    this.#messages = this.messages.slice(0, -1);\n  };\n\n  replaceMessage = (\n    index: number,\n    message: UIMessage<MESSAGE_METADATA, DATA_TYPES>,\n  ) => {\n    this.#messages = [\n      ...this.#messages.slice(0, index),\n      message,\n      ...this.#messages.slice(index + 1),\n    ];\n  };\n\n  snapshot = <T>(value: T): T => structuredClone(value);\n}\n\nexport class Chat<\n  MESSAGE_METADATA,\n  UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {\n  constructor({\n    messages,\n    ...init\n  }: BaseChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>) {\n    super({ ...init, state: new ReactChatState(messages) });\n  }\n}\n","import throttleFunction from 'throttleit';\n\nexport function throttle<T extends (...args: any[]) => any>(\n  fn: T,\n  waitMs: number | undefined,\n): T {\n  return waitMs != null ? throttleFunction(fn, waitMs) : fn;\n}\n","import {\n  CompletionRequestOptions,\n  UseCompletionOptions,\n  callCompletionApi,\n} from 'ai';\nimport { useCallback, useEffect, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport { throttle } from './throttle';\n\nexport type { UseCompletionOptions };\n\nexport type UseCompletionHelpers = {\n  /** The current completion result */\n  completion: string;\n  /**\n   * Send a new prompt to the API endpoint and update the completion state.\n   */\n  complete: (\n    prompt: string,\n    options?: CompletionRequestOptions,\n  ) => Promise<string | null | undefined>;\n  /** The error object of the API request */\n  error: undefined | Error;\n  /**\n   * Abort the current API request but keep the generated tokens.\n   */\n  stop: () => void;\n  /**\n   * Update the `completion` state locally.\n   */\n  setCompletion: (completion: string) => void;\n  /** The current value of the input */\n  input: string;\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n  /**\n   * An input/textarea-ready onChange handler to control the value of the input\n   * @example\n   * ```jsx\n   * <input onChange={handleInputChange} value={input} />\n   * ```\n   */\n  handleInputChange: (\n    event:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /**\n   * Form submission handler to automatically reset input and append a user message\n   * @example\n   * ```jsx\n   * <form onSubmit={handleSubmit}>\n   *  <input onChange={handleInputChange} value={input} />\n   * </form>\n   * ```\n   */\n  handleSubmit: (event?: { preventDefault?: () => void }) => void;\n\n  /** Whether the API request is in progress */\n  isLoading: boolean;\n};\n\nexport function useCompletion({\n  api = '/api/completion',\n  id,\n  initialCompletion = '',\n  initialInput = '',\n  credentials,\n  headers,\n  body,\n  streamProtocol = 'data',\n  fetch,\n  onFinish,\n  onError,\n  experimental_throttle: throttleWaitMs,\n}: UseCompletionOptions & {\n  /**\n   * Custom throttle wait in ms for the completion and data updates.\n   * Default is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n} = {}): UseCompletionHelpers {\n  // Generate an unique id for the completion if not provided.\n  const hookId = useId();\n  const completionId = id || hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<string>([api, completionId], null, {\n    fallbackData: initialCompletion,\n  });\n\n  const { data: isLoading = false, mutate: mutateLoading } = useSWR<boolean>(\n    [completionId, 'loading'],\n    null,\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const completion = data!;\n\n  // Abort controller to cancel the current API call.\n  const [abortController, setAbortController] =\n    useState<AbortController | null>(null);\n\n  const extraMetadataRef = useRef({\n    credentials,\n    headers,\n    body,\n  });\n\n  useEffect(() => {\n    extraMetadataRef.current = {\n      credentials,\n      headers,\n      body,\n    };\n  }, [credentials, headers, body]);\n\n  const triggerRequest = useCallback(\n    async (prompt: string, options?: CompletionRequestOptions) =>\n      callCompletionApi({\n        api,\n        prompt,\n        credentials: extraMetadataRef.current.credentials,\n        headers: { ...extraMetadataRef.current.headers, ...options?.headers },\n        body: {\n          ...extraMetadataRef.current.body,\n          ...options?.body,\n        },\n        streamProtocol,\n        fetch,\n        // throttle streamed ui updates:\n        setCompletion: throttle(\n          (completion: string) => mutate(completion, false),\n          throttleWaitMs,\n        ),\n        setLoading: mutateLoading,\n        setError,\n        setAbortController,\n        onFinish,\n        onError,\n      }),\n    [\n      mutate,\n      mutateLoading,\n      api,\n      extraMetadataRef,\n      setAbortController,\n      onFinish,\n      onError,\n      setError,\n      streamProtocol,\n      fetch,\n      throttleWaitMs,\n    ],\n  );\n\n  const stop = useCallback(() => {\n    if (abortController) {\n      abortController.abort();\n      setAbortController(null);\n    }\n  }, [abortController]);\n\n  const setCompletion = useCallback(\n    (completion: string) => {\n      mutate(completion, false);\n    },\n    [mutate],\n  );\n\n  const complete = useCallback<UseCompletionHelpers['complete']>(\n    async (prompt, options) => {\n      return triggerRequest(prompt, options);\n    },\n    [triggerRequest],\n  );\n\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    (event?: { preventDefault?: () => void }) => {\n      event?.preventDefault?.();\n      return input ? complete(input) : undefined;\n    },\n    [input, complete],\n  );\n\n  const handleInputChange = useCallback(\n    (e: any) => {\n      setInput(e.target.value);\n    },\n    [setInput],\n  );\n\n  return {\n    completion,\n    complete,\n    error,\n    setCompletion,\n    stop,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    isLoading,\n  };\n}\n","import {\n  FetchFunction,\n  InferSchema,\n  isAbortError,\n  safeValidateTypes,\n} from '@ai-sdk/provider-utils';\nimport {\n  asSchema,\n  DeepPartial,\n  isDeepEqualData,\n  parsePartialJson,\n  Schema,\n} from 'ai';\nimport { useCallback, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport * as z3 from 'zod/v3';\nimport * as z4 from 'zod/v4/core';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => fetch;\n\nexport type Experimental_UseObjectOptions<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT,\n> = {\n  /**\n   * The API endpoint. It should stream JSON that matches the schema as chunked text.\n   */\n  api: string;\n\n  /**\n   * A Zod schema that defines the shape of the complete object.\n   */\n  schema: SCHEMA;\n\n  /**\n   * An unique identifier. If not provided, a random one will be\n   * generated. When provided, the `useObject` hook with the same `id` will\n   * have shared states across components.\n   */\n  id?: string;\n\n  /**\n   * An optional value for the initial object.\n   */\n  initialValue?: DeepPartial<RESULT>;\n\n  /**\nCustom fetch implementation. You can use it as a middleware to intercept requests,\nor to provide a custom fetch implementation for e.g. testing.\n    */\n  fetch?: FetchFunction;\n\n  /**\nCallback that is called when the stream has finished.\n     */\n  onFinish?: (event: {\n    /**\nThe generated object (typed according to the schema).\nCan be undefined if the final object does not match the schema.\n   */\n    object: RESULT | undefined;\n\n    /**\nOptional error object. This is e.g. a TypeValidationError when the final object does not match the schema.\n */\n    error: Error | undefined;\n  }) => Promise<void> | void;\n\n  /**\n   * Callback function to be called when an error is encountered.\n   */\n  onError?: (error: Error) => void;\n\n  /**\n   * Additional HTTP headers to be included in the request.\n   */\n  headers?: Record<string, string> | Headers;\n\n  /**\n   * The credentials mode to be used for the fetch request.\n   * Possible values are: 'omit', 'same-origin', 'include'.\n   * Defaults to 'same-origin'.\n   */\n  credentials?: RequestCredentials;\n};\n\nexport type Experimental_UseObjectHelpers<RESULT, INPUT> = {\n  /**\n   * Calls the API with the provided input as JSON body.\n   */\n  submit: (input: INPUT) => void;\n\n  /**\n   * The current value for the generated object. Updated as the API streams JSON chunks.\n   */\n  object: DeepPartial<RESULT> | undefined;\n\n  /**\n   * The error object of the API request if any.\n   */\n  error: Error | undefined;\n\n  /**\n   * Flag that indicates whether an API request is in progress.\n   */\n  isLoading: boolean;\n\n  /**\n   * Abort the current request immediately, keep the current partial object if any.\n   */\n  stop: () => void;\n};\n\nfunction useObject<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT = InferSchema<SCHEMA>,\n  INPUT = any,\n>({\n  api,\n  id,\n  schema, // required, in the future we will use it for validation\n  initialValue,\n  fetch,\n  onError,\n  onFinish,\n  headers,\n  credentials,\n}: Experimental_UseObjectOptions<\n  SCHEMA,\n  RESULT\n>): Experimental_UseObjectHelpers<RESULT, INPUT> {\n  // Generate an unique id if not provided.\n  const hookId = useId();\n  const completionId = id ?? hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<DeepPartial<RESULT>>(\n    [api, completionId],\n    null,\n    { fallbackData: initialValue },\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const [isLoading, setIsLoading] = useState(false);\n\n  // Abort controller to cancel the current API call.\n  const abortControllerRef = useRef<AbortController | null>(null);\n\n  const stop = useCallback(() => {\n    try {\n      abortControllerRef.current?.abort();\n    } catch (ignored) {\n    } finally {\n      setIsLoading(false);\n      abortControllerRef.current = null;\n    }\n  }, []);\n\n  const submit = async (input: INPUT) => {\n    try {\n      mutate(undefined); // reset the data\n      setIsLoading(true);\n      setError(undefined);\n\n      const abortController = new AbortController();\n      abortControllerRef.current = abortController;\n\n      const actualFetch = fetch ?? getOriginalFetch();\n      const response = await actualFetch(api, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...headers,\n        },\n        credentials,\n        signal: abortController.signal,\n        body: JSON.stringify(input),\n      });\n\n      if (!response.ok) {\n        throw new Error(\n          (await response.text()) ?? 'Failed to fetch the response.',\n        );\n      }\n\n      if (response.body == null) {\n        throw new Error('The response body is empty.');\n      }\n\n      let accumulatedText = '';\n      let latestObject: DeepPartial<RESULT> | undefined = undefined;\n\n      await response.body.pipeThrough(new TextDecoderStream()).pipeTo(\n        new WritableStream<string>({\n          async write(chunk) {\n            accumulatedText += chunk;\n\n            const { value } = await parsePartialJson(accumulatedText);\n            const currentObject = value as DeepPartial<RESULT>;\n\n            if (!isDeepEqualData(latestObject, currentObject)) {\n              latestObject = currentObject;\n\n              mutate(currentObject);\n            }\n          },\n\n          async close() {\n            setIsLoading(false);\n            abortControllerRef.current = null;\n\n            if (onFinish != null) {\n              const validationResult = await safeValidateTypes({\n                value: latestObject,\n                schema: asSchema(schema),\n              });\n\n              onFinish(\n                validationResult.success\n                  ? { object: validationResult.value, error: undefined }\n                  : { object: undefined, error: validationResult.error },\n              );\n            }\n          },\n        }),\n      );\n    } catch (error) {\n      if (isAbortError(error)) {\n        return;\n      }\n\n      if (onError && error instanceof Error) {\n        onError(error);\n      }\n\n      setIsLoading(false);\n      setError(error instanceof Error ? error : new Error(String(error)));\n    }\n  };\n\n  return {\n    submit,\n    object: data,\n    error,\n    isLoading,\n    stop,\n  };\n}\n\nexport const experimental_useObject = 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+{"version":3,"sources":["../src/index.ts","../src/use-chat.ts","../src/chat.react.ts","../src/throttle.ts","../src/use-completion.ts","../src/use-object.ts"],"sourcesContent":["export * from './use-chat';\nexport { Chat } from './chat.react';\nexport * from './use-completion';\nexport * from './use-object';\n","import {\n  AbstractChat,\n  ChatInit as BaseChatInit,\n  ChatEvent,\n  InferUIDataParts,\n  UIDataPartSchemas,\n  type CreateUIMessage,\n  type UIMessage,\n} from 'ai';\nimport { useCallback, useRef, useSyncExternalStore } from 'react';\nimport { Chat } from './chat.react';\nimport { throttle } from './throttle';\n\nexport type { CreateUIMessage, UIMessage };\n\nexport type UseChatHelpers<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = {\n  /**\n   * The id of the chat.\n   */\n  readonly id: string;\n\n  /**\n   * Update the `messages` state locally. This is useful when you want to\n   * edit the messages on the client, and then trigger the `reload` method\n   * manually to regenerate the AI response.\n   */\n  setMessages: (\n    messages:\n      | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n      | ((\n          messages: UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[],\n        ) => UIMessage<\n          MESSAGE_METADATA,\n          InferUIDataParts<DATA_PART_SCHEMAS>\n        >[]),\n  ) => void;\n\n  error: Error | undefined;\n} & Pick<\n  AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>,\n  | 'sendMessage'\n  | 'reload'\n  | 'stop'\n  | 'experimental_resume'\n  | 'addToolResult'\n  | 'status'\n  | 'messages'\n>;\n\nexport type UseChatOptions<\n  MESSAGE_METADATA = unknown,\n  DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = (\n  | { chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS> }\n  | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>\n) & {\n  /**\nCustom throttle wait in ms for the chat messages and data updates.\nDefault is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n};\n\nexport function useChat<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n>({\n  experimental_throttle: throttleWaitMs,\n  ...options\n}: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS> = {}): UseChatHelpers<\n  MESSAGE_METADATA,\n  DATA_PART_SCHEMAS\n> {\n  const chatRef = useRef('chat' in options ? options.chat : new Chat(options));\n\n  const subscribe = useCallback(\n    ({\n      onStoreChange,\n      eventType,\n    }: {\n      onStoreChange: () => void;\n      eventType: ChatEvent['type'];\n    }) =>\n      chatRef.current.subscribe({\n        onChange: event => {\n          if (event.type !== eventType) return;\n          onStoreChange();\n        },\n      }),\n    [chatRef],\n  );\n\n  const addToolResult = useCallback(\n    (\n      options: Parameters<\n        Chat<MESSAGE_METADATA, DATA_PART_SCHEMAS>['addToolResult']\n      >[0],\n    ) => chatRef.current.addToolResult(options),\n    [chatRef],\n  );\n\n  const status = useSyncExternalStore(\n    callback =>\n      subscribe({\n        onStoreChange: callback,\n        eventType: 'status-changed',\n      }),\n    () => chatRef.current.status,\n    () => chatRef.current.status,\n  );\n\n  const subscribeToChatStoreForMessages = useCallback(\n    (callback: () => void) => {\n      return subscribe({\n        onStoreChange: throttleWaitMs\n          ? throttle(callback, throttleWaitMs)\n          : callback,\n        eventType: 'messages-changed',\n      });\n    },\n    [subscribe, throttleWaitMs],\n  );\n\n  const messages = useSyncExternalStore(\n    callback => subscribeToChatStoreForMessages(callback),\n    () => chatRef.current.messages,\n    () => chatRef.current.messages,\n  );\n\n  const setMessages = useCallback(\n    (\n      messagesParam:\n        | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n        | ((\n            messages: UIMessage<\n              MESSAGE_METADATA,\n              InferUIDataParts<DATA_PART_SCHEMAS>\n            >[],\n          ) => UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[]),\n    ) => {\n      if (typeof messagesParam === 'function') {\n        messagesParam = messagesParam(messages);\n      }\n\n      chatRef.current.messages = messagesParam;\n    },\n    [chatRef, messages],\n  );\n\n  return {\n    id: chatRef.current.id,\n    messages,\n    setMessages,\n    sendMessage: chatRef.current.sendMessage,\n    reload: chatRef.current.reload,\n    stop: chatRef.current.stop,\n    error: chatRef.current.error,\n    experimental_resume: chatRef.current.experimental_resume,\n    status,\n    addToolResult,\n  };\n}\n","import {\n  AbstractChat,\n  ChatInit,\n  ChatState,\n  ChatStatus,\n  UIDataPartSchemas,\n  UIDataTypes,\n  UIMessage,\n} from 'ai';\n\nclass ReactChatState<MESSAGE_METADATA, DATA_TYPES extends UIDataTypes>\n  implements ChatState<MESSAGE_METADATA, DATA_TYPES>\n{\n  #messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[];\n  status: ChatStatus = 'ready';\n  error: Error | undefined = undefined;\n\n  constructor(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[] = []) {\n    this.#messages = messages;\n  }\n\n  get messages() {\n    return this.#messages;\n  }\n\n  set messages(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[]) {\n    this.#messages = [...messages];\n  }\n\n  pushMessage = (message: UIMessage<MESSAGE_METADATA, DATA_TYPES>) => {\n    this.#messages = this.messages.concat(message);\n  };\n\n  popMessage = () => {\n    this.#messages = this.messages.slice(0, -1);\n  };\n\n  replaceMessage = (\n    index: number,\n    message: UIMessage<MESSAGE_METADATA, DATA_TYPES>,\n  ) => {\n    this.#messages = [\n      ...this.#messages.slice(0, index),\n      message,\n      ...this.#messages.slice(index + 1),\n    ];\n  };\n\n  snapshot = <T>(value: T): T => structuredClone(value);\n}\n\nexport class Chat<\n  MESSAGE_METADATA,\n  UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {\n  constructor({\n    messages,\n    ...init\n  }: ChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>) {\n    super({ ...init, state: new ReactChatState(messages) });\n  }\n}\n","import throttleFunction from 'throttleit';\n\nexport function throttle<T extends (...args: any[]) => any>(\n  fn: T,\n  waitMs: number | undefined,\n): T {\n  return waitMs != null ? throttleFunction(fn, waitMs) : fn;\n}\n","import {\n  CompletionRequestOptions,\n  UseCompletionOptions,\n  callCompletionApi,\n} from 'ai';\nimport { useCallback, useEffect, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport { throttle } from './throttle';\n\nexport type { UseCompletionOptions };\n\nexport type UseCompletionHelpers = {\n  /** The current completion result */\n  completion: string;\n  /**\n   * Send a new prompt to the API endpoint and update the completion state.\n   */\n  complete: (\n    prompt: string,\n    options?: CompletionRequestOptions,\n  ) => Promise<string | null | undefined>;\n  /** The error object of the API request */\n  error: undefined | Error;\n  /**\n   * Abort the current API request but keep the generated tokens.\n   */\n  stop: () => void;\n  /**\n   * Update the `completion` state locally.\n   */\n  setCompletion: (completion: string) => void;\n  /** The current value of the input */\n  input: string;\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n  /**\n   * An input/textarea-ready onChange handler to control the value of the input\n   * @example\n   * ```jsx\n   * <input onChange={handleInputChange} value={input} />\n   * ```\n   */\n  handleInputChange: (\n    event:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /**\n   * Form submission handler to automatically reset input and append a user message\n   * @example\n   * ```jsx\n   * <form onSubmit={handleSubmit}>\n   *  <input onChange={handleInputChange} value={input} />\n   * </form>\n   * ```\n   */\n  handleSubmit: (event?: { preventDefault?: () => void }) => void;\n\n  /** Whether the API request is in progress */\n  isLoading: boolean;\n};\n\nexport function useCompletion({\n  api = '/api/completion',\n  id,\n  initialCompletion = '',\n  initialInput = '',\n  credentials,\n  headers,\n  body,\n  streamProtocol = 'data',\n  fetch,\n  onFinish,\n  onError,\n  experimental_throttle: throttleWaitMs,\n}: UseCompletionOptions & {\n  /**\n   * Custom throttle wait in ms for the completion and data updates.\n   * Default is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n} = {}): UseCompletionHelpers {\n  // Generate an unique id for the completion if not provided.\n  const hookId = useId();\n  const completionId = id || hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<string>([api, completionId], null, {\n    fallbackData: initialCompletion,\n  });\n\n  const { data: isLoading = false, mutate: mutateLoading } = useSWR<boolean>(\n    [completionId, 'loading'],\n    null,\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const completion = data!;\n\n  // Abort controller to cancel the current API call.\n  const [abortController, setAbortController] =\n    useState<AbortController | null>(null);\n\n  const extraMetadataRef = useRef({\n    credentials,\n    headers,\n    body,\n  });\n\n  useEffect(() => {\n    extraMetadataRef.current = {\n      credentials,\n      headers,\n      body,\n    };\n  }, [credentials, headers, body]);\n\n  const triggerRequest = useCallback(\n    async (prompt: string, options?: CompletionRequestOptions) =>\n      callCompletionApi({\n        api,\n        prompt,\n        credentials: extraMetadataRef.current.credentials,\n        headers: { ...extraMetadataRef.current.headers, ...options?.headers },\n        body: {\n          ...extraMetadataRef.current.body,\n          ...options?.body,\n        },\n        streamProtocol,\n        fetch,\n        // throttle streamed ui updates:\n        setCompletion: throttle(\n          (completion: string) => mutate(completion, false),\n          throttleWaitMs,\n        ),\n        setLoading: mutateLoading,\n        setError,\n        setAbortController,\n        onFinish,\n        onError,\n      }),\n    [\n      mutate,\n      mutateLoading,\n      api,\n      extraMetadataRef,\n      setAbortController,\n      onFinish,\n      onError,\n      setError,\n      streamProtocol,\n      fetch,\n      throttleWaitMs,\n    ],\n  );\n\n  const stop = useCallback(() => {\n    if (abortController) {\n      abortController.abort();\n      setAbortController(null);\n    }\n  }, [abortController]);\n\n  const setCompletion = useCallback(\n    (completion: string) => {\n      mutate(completion, false);\n    },\n    [mutate],\n  );\n\n  const complete = useCallback<UseCompletionHelpers['complete']>(\n    async (prompt, options) => {\n      return triggerRequest(prompt, options);\n    },\n    [triggerRequest],\n  );\n\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    (event?: { preventDefault?: () => void }) => {\n      event?.preventDefault?.();\n      return input ? complete(input) : undefined;\n    },\n    [input, complete],\n  );\n\n  const handleInputChange = useCallback(\n    (e: any) => {\n      setInput(e.target.value);\n    },\n    [setInput],\n  );\n\n  return {\n    completion,\n    complete,\n    error,\n    setCompletion,\n    stop,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    isLoading,\n  };\n}\n","import {\n  FetchFunction,\n  InferSchema,\n  isAbortError,\n  safeValidateTypes,\n} from '@ai-sdk/provider-utils';\nimport {\n  asSchema,\n  DeepPartial,\n  isDeepEqualData,\n  parsePartialJson,\n  Schema,\n} from 'ai';\nimport { useCallback, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport * as z3 from 'zod/v3';\nimport * as z4 from 'zod/v4/core';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => fetch;\n\nexport type Experimental_UseObjectOptions<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT,\n> = {\n  /**\n   * The API endpoint. It should stream JSON that matches the schema as chunked text.\n   */\n  api: string;\n\n  /**\n   * A Zod schema that defines the shape of the complete object.\n   */\n  schema: SCHEMA;\n\n  /**\n   * An unique identifier. If not provided, a random one will be\n   * generated. When provided, the `useObject` hook with the same `id` will\n   * have shared states across components.\n   */\n  id?: string;\n\n  /**\n   * An optional value for the initial object.\n   */\n  initialValue?: DeepPartial<RESULT>;\n\n  /**\nCustom fetch implementation. You can use it as a middleware to intercept requests,\nor to provide a custom fetch implementation for e.g. testing.\n    */\n  fetch?: FetchFunction;\n\n  /**\nCallback that is called when the stream has finished.\n     */\n  onFinish?: (event: {\n    /**\nThe generated object (typed according to the schema).\nCan be undefined if the final object does not match the schema.\n   */\n    object: RESULT | undefined;\n\n    /**\nOptional error object. This is e.g. a TypeValidationError when the final object does not match the schema.\n */\n    error: Error | undefined;\n  }) => Promise<void> | void;\n\n  /**\n   * Callback function to be called when an error is encountered.\n   */\n  onError?: (error: Error) => void;\n\n  /**\n   * Additional HTTP headers to be included in the request.\n   */\n  headers?: Record<string, string> | Headers;\n\n  /**\n   * The credentials mode to be used for the fetch request.\n   * Possible values are: 'omit', 'same-origin', 'include'.\n   * Defaults to 'same-origin'.\n   */\n  credentials?: RequestCredentials;\n};\n\nexport type Experimental_UseObjectHelpers<RESULT, INPUT> = {\n  /**\n   * Calls the API with the provided input as JSON body.\n   */\n  submit: (input: INPUT) => void;\n\n  /**\n   * The current value for the generated object. Updated as the API streams JSON chunks.\n   */\n  object: DeepPartial<RESULT> | undefined;\n\n  /**\n   * The error object of the API request if any.\n   */\n  error: Error | undefined;\n\n  /**\n   * Flag that indicates whether an API request is in progress.\n   */\n  isLoading: boolean;\n\n  /**\n   * Abort the current request immediately, keep the current partial object if any.\n   */\n  stop: () => void;\n};\n\nfunction useObject<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT = InferSchema<SCHEMA>,\n  INPUT = any,\n>({\n  api,\n  id,\n  schema, // required, in the future we will use it for validation\n  initialValue,\n  fetch,\n  onError,\n  onFinish,\n  headers,\n  credentials,\n}: Experimental_UseObjectOptions<\n  SCHEMA,\n  RESULT\n>): Experimental_UseObjectHelpers<RESULT, INPUT> {\n  // Generate an unique id if not provided.\n  const hookId = useId();\n  const completionId = id ?? hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<DeepPartial<RESULT>>(\n    [api, completionId],\n    null,\n    { fallbackData: initialValue },\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const [isLoading, setIsLoading] = useState(false);\n\n  // Abort controller to cancel the current API call.\n  const abortControllerRef = useRef<AbortController | null>(null);\n\n  const stop = useCallback(() => {\n    try {\n      abortControllerRef.current?.abort();\n    } catch (ignored) {\n    } finally {\n      setIsLoading(false);\n      abortControllerRef.current = null;\n    }\n  }, []);\n\n  const submit = async (input: INPUT) => {\n    try {\n      mutate(undefined); // reset the data\n      setIsLoading(true);\n      setError(undefined);\n\n      const abortController = new AbortController();\n      abortControllerRef.current = abortController;\n\n      const actualFetch = fetch ?? getOriginalFetch();\n      const response = await actualFetch(api, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...headers,\n        },\n        credentials,\n        signal: abortController.signal,\n        body: JSON.stringify(input),\n      });\n\n      if (!response.ok) {\n        throw new Error(\n          (await response.text()) ?? 'Failed to fetch the response.',\n        );\n      }\n\n      if (response.body == null) {\n        throw new Error('The response body is empty.');\n      }\n\n      let accumulatedText = '';\n      let latestObject: DeepPartial<RESULT> | undefined = undefined;\n\n      await response.body.pipeThrough(new TextDecoderStream()).pipeTo(\n        new WritableStream<string>({\n          async write(chunk) {\n            accumulatedText += chunk;\n\n            const { value } = await parsePartialJson(accumulatedText);\n            const currentObject = value as DeepPartial<RESULT>;\n\n            if (!isDeepEqualData(latestObject, currentObject)) {\n              latestObject = currentObject;\n\n              mutate(currentObject);\n            }\n          },\n\n          async close() {\n            setIsLoading(false);\n            abortControllerRef.current = null;\n\n            if (onFinish != null) {\n              const validationResult = await safeValidateTypes({\n                value: latestObject,\n                schema: asSchema(schema),\n              });\n\n              onFinish(\n                validationResult.success\n                  ? { object: validationResult.value, error: undefined }\n                  : { object: undefined, error: validationResult.error },\n              );\n            }\n          },\n        }),\n      );\n    } catch (error) {\n      if (isAbortError(error)) {\n        return;\n      }\n\n      if (onError && error instanceof Error) {\n        onError(error);\n      }\n\n      setIsLoading(false);\n      setError(error instanceof Error ? error : new Error(String(error)));\n    }\n  };\n\n  return {\n    submit,\n    object: data,\n    error,\n    isLoading,\n    stop,\n  };\n}\n\nexport const experimental_useObject = 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dist/index.mjs

@@ -21,6 +21,3 @@ var __accessCheck = (obj, member, msg) => {
 // src/use-chat.ts
-import {
-  convertFileListToFileUIParts
-} from "ai";
-import { useCallback, useRef, useState, useSyncExternalStore } from "react";
+import { useCallback, useRef, useSyncExternalStore } from "react";
 
@@ -78,3 +75,2 @@ // src/chat.react.ts
 function useChat({
-  initialInput = "",
   experimental_throttle: throttleWaitMs,
@@ -132,29 +128,2 @@ ...options
   );
-  const [input, setInput] = useState(initialInput);
-  const handleSubmit = useCallback(
-    async (event, options2 = {}) => {
-      var _a;
-      (_a = event == null ? void 0 : event.preventDefault) == null ? void 0 : _a.call(event);
-      const fileParts = Array.isArray(options2 == null ? void 0 : options2.files) ? options2.files : await convertFileListToFileUIParts(options2 == null ? void 0 : options2.files);
-      if (!input && fileParts.length === 0)
-        return;
-      chatRef.current.append(
-        {
-          id: chatRef.current.generateId(),
-          role: "user",
-          metadata: void 0,
-          parts: [...fileParts, { type: "text", text: input }]
-        },
-        {
-          headers: options2.headers,
-          body: options2.body
-        }
-      );
-      setInput("");
-    },
-    [input, chatRef]
-  );
-  const handleInputChange = (e) => {
-    setInput(e.target.value);
-  };
   return {
@@ -164,3 +133,3 @@ id: chatRef.current.id,
     setMessages,
-    append: chatRef.current.append,
+    sendMessage: chatRef.current.sendMessage,
     reload: chatRef.current.reload,
@@ -170,6 +139,2 @@ stop: chatRef.current.stop,
     experimental_resume: chatRef.current.experimental_resume,
-    input,
-    setInput,
-    handleInputChange,
-    handleSubmit,
     status,
@@ -184,3 +149,3 @@ addToolResult
 } from "ai";
-import { useCallback as useCallback2, useEffect, useId, useRef as useRef2, useState as useState2 } from "react";
+import { useCallback as useCallback2, useEffect, useId, useRef as useRef2, useState } from "react";
 import useSWR from "swr";
@@ -210,5 +175,5 @@ function useCompletion({
   );
-  const [error, setError] = useState2(void 0);
+  const [error, setError] = useState(void 0);
   const completion = data;
-  const [abortController, setAbortController] = useState2(null);
+  const [abortController, setAbortController] = useState(null);
   const extraMetadataRef = useRef2({
@@ -281,3 +246,3 @@ credentials,
   );
-  const [input, setInput] = useState2(initialInput);
+  const [input, setInput] = useState(initialInput);
   const handleSubmit = useCallback2(
@@ -321,3 +286,3 @@ (event) => {
 } from "ai";
-import { useCallback as useCallback3, useId as useId2, useRef as useRef3, useState as useState3 } from "react";
+import { useCallback as useCallback3, useId as useId2, useRef as useRef3, useState as useState2 } from "react";
 import useSWR2 from "swr";
@@ -344,4 +309,4 @@ var getOriginalFetch = () => fetch;
   );
-  const [error, setError] = useState3(void 0);
-  const [isLoading, setIsLoading] = useState3(false);
+  const [error, setError] = useState2(void 0);
+  const [isLoading, setIsLoading] = useState2(false);
   const abortControllerRef = useRef3(null);
@@ -348,0 +313,0 @@ const stop = useCallback3(() => {

dist/index.mjs.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/use-chat.ts","../src/chat.react.ts","../src/throttle.ts","../src/use-completion.ts","../src/use-object.ts"],"sourcesContent":["import {\n  AbstractChat,\n  BaseChatInit,\n  ChatEvent,\n  convertFileListToFileUIParts,\n  InferUIDataParts,\n  UIDataPartSchemas,\n  type ChatRequestOptions,\n  type CreateUIMessage,\n  type FileUIPart,\n  type UIMessage,\n} from 'ai';\nimport { useCallback, useRef, useState, useSyncExternalStore } from 'react';\nimport { Chat } from './chat.react';\nimport { throttle } from './throttle';\n\nexport type { CreateUIMessage, UIMessage };\n\nexport type UseChatHelpers<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = {\n  /**\n   * The id of the chat.\n   */\n  readonly id: string;\n\n  /**\n   * Update the `messages` state locally. This is useful when you want to\n   * edit the messages on the client, and then trigger the `reload` method\n   * manually to regenerate the AI response.\n   */\n  setMessages: (\n    messages:\n      | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n      | ((\n          messages: UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[],\n        ) => UIMessage<\n          MESSAGE_METADATA,\n          InferUIDataParts<DATA_PART_SCHEMAS>\n        >[]),\n  ) => void;\n\n  /** The current value of the input */\n  input: string;\n\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n\n  /** An input/textarea-ready onChange handler to control the value of the input */\n  handleInputChange: (\n    e:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /** Form submission handler to automatically reset input and append a user message */\n  handleSubmit: (\n    event?: { preventDefault?: () => void },\n    chatRequestOptions?: ChatRequestOptions & {\n      files?: FileList | FileUIPart[];\n    },\n  ) => void;\n\n  error: Error | undefined;\n} & Pick<\n  AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>,\n  | 'append'\n  | 'reload'\n  | 'stop'\n  | 'experimental_resume'\n  | 'addToolResult'\n  | 'status'\n  | 'messages'\n>;\n\nexport type UseChatOptions<\n  MESSAGE_METADATA = unknown,\n  DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = (\n  | { chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS> }\n  | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>\n) & {\n  /**\n  /**\n   * Initial input of the chat.\n   */\n  initialInput?: string;\n\n  /**\nCustom throttle wait in ms for the chat messages and data updates.\nDefault is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n};\n\nexport function useChat<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n>({\n  initialInput = '',\n  experimental_throttle: throttleWaitMs,\n  ...options\n}: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS> = {}): UseChatHelpers<\n  MESSAGE_METADATA,\n  DATA_PART_SCHEMAS\n> {\n  const chatRef = useRef('chat' in options ? options.chat : new Chat(options));\n\n  const subscribe = useCallback(\n    ({\n      onStoreChange,\n      eventType,\n    }: {\n      onStoreChange: () => void;\n      eventType: ChatEvent['type'];\n    }) =>\n      chatRef.current.subscribe({\n        onChange: event => {\n          if (event.type !== eventType) return;\n          onStoreChange();\n        },\n      }),\n    [chatRef],\n  );\n\n  const addToolResult = useCallback(\n    (\n      options: Parameters<\n        Chat<MESSAGE_METADATA, DATA_PART_SCHEMAS>['addToolResult']\n      >[0],\n    ) => chatRef.current.addToolResult(options),\n    [chatRef],\n  );\n\n  const status = useSyncExternalStore(\n    callback =>\n      subscribe({\n        onStoreChange: callback,\n        eventType: 'status-changed',\n      }),\n    () => chatRef.current.status,\n    () => chatRef.current.status,\n  );\n\n  const subscribeToChatStoreForMessages = useCallback(\n    (callback: () => void) => {\n      return subscribe({\n        onStoreChange: throttleWaitMs\n          ? throttle(callback, throttleWaitMs)\n          : callback,\n        eventType: 'messages-changed',\n      });\n    },\n    [subscribe, throttleWaitMs],\n  );\n\n  const messages = useSyncExternalStore(\n    callback => subscribeToChatStoreForMessages(callback),\n    () => chatRef.current.messages,\n    () => chatRef.current.messages,\n  );\n\n  const setMessages = useCallback(\n    (\n      messagesParam:\n        | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n        | ((\n            messages: UIMessage<\n              MESSAGE_METADATA,\n              InferUIDataParts<DATA_PART_SCHEMAS>\n            >[],\n          ) => UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[]),\n    ) => {\n      if (typeof messagesParam === 'function') {\n        messagesParam = messagesParam(messages);\n      }\n\n      chatRef.current.messages = messagesParam;\n    },\n    [chatRef, messages],\n  );\n\n  // Input state and handlers.\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    async (\n      event?: { preventDefault?: () => void },\n      options: ChatRequestOptions & {\n        files?: FileList | FileUIPart[];\n      } = {},\n    ) => {\n      event?.preventDefault?.();\n\n      const fileParts = Array.isArray(options?.files)\n        ? options.files\n        : await convertFileListToFileUIParts(options?.files);\n\n      if (!input && fileParts.length === 0) return;\n\n      chatRef.current.append(\n        {\n          id: chatRef.current.generateId(),\n          role: 'user',\n          metadata: undefined,\n          parts: [...fileParts, { type: 'text', text: input }],\n        },\n        {\n          headers: options.headers,\n          body: options.body,\n        },\n      );\n\n      setInput('');\n    },\n    [input, chatRef],\n  );\n\n  const handleInputChange = (e: any) => {\n    setInput(e.target.value);\n  };\n\n  return {\n    id: chatRef.current.id,\n    messages,\n    setMessages,\n    append: chatRef.current.append,\n    reload: chatRef.current.reload,\n    stop: chatRef.current.stop,\n    error: chatRef.current.error,\n    experimental_resume: chatRef.current.experimental_resume,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    status,\n    addToolResult,\n  };\n}\n","import {\n  AbstractChat,\n  BaseChatInit,\n  ChatState,\n  ChatStatus,\n  UIDataPartSchemas,\n  UIDataTypes,\n  UIMessage,\n} from 'ai';\n\nclass ReactChatState<MESSAGE_METADATA, DATA_TYPES extends UIDataTypes>\n  implements ChatState<MESSAGE_METADATA, DATA_TYPES>\n{\n  #messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[];\n  status: ChatStatus = 'ready';\n  error: Error | undefined = undefined;\n\n  constructor(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[] = []) {\n    this.#messages = messages;\n  }\n\n  get messages() {\n    return this.#messages;\n  }\n\n  set messages(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[]) {\n    this.#messages = [...messages];\n  }\n\n  pushMessage = (message: UIMessage<MESSAGE_METADATA, DATA_TYPES>) => {\n    this.#messages = this.messages.concat(message);\n  };\n\n  popMessage = () => {\n    this.#messages = this.messages.slice(0, -1);\n  };\n\n  replaceMessage = (\n    index: number,\n    message: UIMessage<MESSAGE_METADATA, DATA_TYPES>,\n  ) => {\n    this.#messages = [\n      ...this.#messages.slice(0, index),\n      message,\n      ...this.#messages.slice(index + 1),\n    ];\n  };\n\n  snapshot = <T>(value: T): T => structuredClone(value);\n}\n\nexport class Chat<\n  MESSAGE_METADATA,\n  UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {\n  constructor({\n    messages,\n    ...init\n  }: BaseChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>) {\n    super({ ...init, state: new ReactChatState(messages) });\n  }\n}\n","import throttleFunction from 'throttleit';\n\nexport function throttle<T extends (...args: any[]) => any>(\n  fn: T,\n  waitMs: number | undefined,\n): T {\n  return waitMs != null ? throttleFunction(fn, waitMs) : fn;\n}\n","import {\n  CompletionRequestOptions,\n  UseCompletionOptions,\n  callCompletionApi,\n} from 'ai';\nimport { useCallback, useEffect, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport { throttle } from './throttle';\n\nexport type { UseCompletionOptions };\n\nexport type UseCompletionHelpers = {\n  /** The current completion result */\n  completion: string;\n  /**\n   * Send a new prompt to the API endpoint and update the completion state.\n   */\n  complete: (\n    prompt: string,\n    options?: CompletionRequestOptions,\n  ) => Promise<string | null | undefined>;\n  /** The error object of the API request */\n  error: undefined | Error;\n  /**\n   * Abort the current API request but keep the generated tokens.\n   */\n  stop: () => void;\n  /**\n   * Update the `completion` state locally.\n   */\n  setCompletion: (completion: string) => void;\n  /** The current value of the input */\n  input: string;\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n  /**\n   * An input/textarea-ready onChange handler to control the value of the input\n   * @example\n   * ```jsx\n   * <input onChange={handleInputChange} value={input} />\n   * ```\n   */\n  handleInputChange: (\n    event:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /**\n   * Form submission handler to automatically reset input and append a user message\n   * @example\n   * ```jsx\n   * <form onSubmit={handleSubmit}>\n   *  <input onChange={handleInputChange} value={input} />\n   * </form>\n   * ```\n   */\n  handleSubmit: (event?: { preventDefault?: () => void }) => void;\n\n  /** Whether the API request is in progress */\n  isLoading: boolean;\n};\n\nexport function useCompletion({\n  api = '/api/completion',\n  id,\n  initialCompletion = '',\n  initialInput = '',\n  credentials,\n  headers,\n  body,\n  streamProtocol = 'data',\n  fetch,\n  onFinish,\n  onError,\n  experimental_throttle: throttleWaitMs,\n}: UseCompletionOptions & {\n  /**\n   * Custom throttle wait in ms for the completion and data updates.\n   * Default is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n} = {}): UseCompletionHelpers {\n  // Generate an unique id for the completion if not provided.\n  const hookId = useId();\n  const completionId = id || hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<string>([api, completionId], null, {\n    fallbackData: initialCompletion,\n  });\n\n  const { data: isLoading = false, mutate: mutateLoading } = useSWR<boolean>(\n    [completionId, 'loading'],\n    null,\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const completion = data!;\n\n  // Abort controller to cancel the current API call.\n  const [abortController, setAbortController] =\n    useState<AbortController | null>(null);\n\n  const extraMetadataRef = useRef({\n    credentials,\n    headers,\n    body,\n  });\n\n  useEffect(() => {\n    extraMetadataRef.current = {\n      credentials,\n      headers,\n      body,\n    };\n  }, [credentials, headers, body]);\n\n  const triggerRequest = useCallback(\n    async (prompt: string, options?: CompletionRequestOptions) =>\n      callCompletionApi({\n        api,\n        prompt,\n        credentials: extraMetadataRef.current.credentials,\n        headers: { ...extraMetadataRef.current.headers, ...options?.headers },\n        body: {\n          ...extraMetadataRef.current.body,\n          ...options?.body,\n        },\n        streamProtocol,\n        fetch,\n        // throttle streamed ui updates:\n        setCompletion: throttle(\n          (completion: string) => mutate(completion, false),\n          throttleWaitMs,\n        ),\n        setLoading: mutateLoading,\n        setError,\n        setAbortController,\n        onFinish,\n        onError,\n      }),\n    [\n      mutate,\n      mutateLoading,\n      api,\n      extraMetadataRef,\n      setAbortController,\n      onFinish,\n      onError,\n      setError,\n      streamProtocol,\n      fetch,\n      throttleWaitMs,\n    ],\n  );\n\n  const stop = useCallback(() => {\n    if (abortController) {\n      abortController.abort();\n      setAbortController(null);\n    }\n  }, [abortController]);\n\n  const setCompletion = useCallback(\n    (completion: string) => {\n      mutate(completion, false);\n    },\n    [mutate],\n  );\n\n  const complete = useCallback<UseCompletionHelpers['complete']>(\n    async (prompt, options) => {\n      return triggerRequest(prompt, options);\n    },\n    [triggerRequest],\n  );\n\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    (event?: { preventDefault?: () => void }) => {\n      event?.preventDefault?.();\n      return input ? complete(input) : undefined;\n    },\n    [input, complete],\n  );\n\n  const handleInputChange = useCallback(\n    (e: any) => {\n      setInput(e.target.value);\n    },\n    [setInput],\n  );\n\n  return {\n    completion,\n    complete,\n    error,\n    setCompletion,\n    stop,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    isLoading,\n  };\n}\n","import {\n  FetchFunction,\n  InferSchema,\n  isAbortError,\n  safeValidateTypes,\n} from '@ai-sdk/provider-utils';\nimport {\n  asSchema,\n  DeepPartial,\n  isDeepEqualData,\n  parsePartialJson,\n  Schema,\n} from 'ai';\nimport { useCallback, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport * as z3 from 'zod/v3';\nimport * as z4 from 'zod/v4/core';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => fetch;\n\nexport type Experimental_UseObjectOptions<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT,\n> = {\n  /**\n   * The API endpoint. It should stream JSON that matches the schema as chunked text.\n   */\n  api: string;\n\n  /**\n   * A Zod schema that defines the shape of the complete object.\n   */\n  schema: SCHEMA;\n\n  /**\n   * An unique identifier. If not provided, a random one will be\n   * generated. When provided, the `useObject` hook with the same `id` will\n   * have shared states across components.\n   */\n  id?: string;\n\n  /**\n   * An optional value for the initial object.\n   */\n  initialValue?: DeepPartial<RESULT>;\n\n  /**\nCustom fetch implementation. You can use it as a middleware to intercept requests,\nor to provide a custom fetch implementation for e.g. testing.\n    */\n  fetch?: FetchFunction;\n\n  /**\nCallback that is called when the stream has finished.\n     */\n  onFinish?: (event: {\n    /**\nThe generated object (typed according to the schema).\nCan be undefined if the final object does not match the schema.\n   */\n    object: RESULT | undefined;\n\n    /**\nOptional error object. This is e.g. a TypeValidationError when the final object does not match the schema.\n */\n    error: Error | undefined;\n  }) => Promise<void> | void;\n\n  /**\n   * Callback function to be called when an error is encountered.\n   */\n  onError?: (error: Error) => void;\n\n  /**\n   * Additional HTTP headers to be included in the request.\n   */\n  headers?: Record<string, string> | Headers;\n\n  /**\n   * The credentials mode to be used for the fetch request.\n   * Possible values are: 'omit', 'same-origin', 'include'.\n   * Defaults to 'same-origin'.\n   */\n  credentials?: RequestCredentials;\n};\n\nexport type Experimental_UseObjectHelpers<RESULT, INPUT> = {\n  /**\n   * Calls the API with the provided input as JSON body.\n   */\n  submit: (input: INPUT) => void;\n\n  /**\n   * The current value for the generated object. Updated as the API streams JSON chunks.\n   */\n  object: DeepPartial<RESULT> | undefined;\n\n  /**\n   * The error object of the API request if any.\n   */\n  error: Error | undefined;\n\n  /**\n   * Flag that indicates whether an API request is in progress.\n   */\n  isLoading: boolean;\n\n  /**\n   * Abort the current request immediately, keep the current partial object if any.\n   */\n  stop: () => void;\n};\n\nfunction useObject<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT = InferSchema<SCHEMA>,\n  INPUT = any,\n>({\n  api,\n  id,\n  schema, // required, in the future we will use it for validation\n  initialValue,\n  fetch,\n  onError,\n  onFinish,\n  headers,\n  credentials,\n}: Experimental_UseObjectOptions<\n  SCHEMA,\n  RESULT\n>): Experimental_UseObjectHelpers<RESULT, INPUT> {\n  // Generate an unique id if not provided.\n  const hookId = useId();\n  const completionId = id ?? hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<DeepPartial<RESULT>>(\n    [api, completionId],\n    null,\n    { fallbackData: initialValue },\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const [isLoading, setIsLoading] = useState(false);\n\n  // Abort controller to cancel the current API call.\n  const abortControllerRef = useRef<AbortController | null>(null);\n\n  const stop = useCallback(() => {\n    try {\n      abortControllerRef.current?.abort();\n    } catch (ignored) {\n    } finally {\n      setIsLoading(false);\n      abortControllerRef.current = null;\n    }\n  }, []);\n\n  const submit = async (input: INPUT) => {\n    try {\n      mutate(undefined); // reset the data\n      setIsLoading(true);\n      setError(undefined);\n\n      const abortController = new AbortController();\n      abortControllerRef.current = abortController;\n\n      const actualFetch = fetch ?? getOriginalFetch();\n      const response = await actualFetch(api, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...headers,\n        },\n        credentials,\n        signal: abortController.signal,\n        body: JSON.stringify(input),\n      });\n\n      if (!response.ok) {\n        throw new Error(\n          (await response.text()) ?? 'Failed to fetch the response.',\n        );\n      }\n\n      if (response.body == null) {\n        throw new Error('The response body is empty.');\n      }\n\n      let accumulatedText = '';\n      let latestObject: DeepPartial<RESULT> | undefined = undefined;\n\n      await response.body.pipeThrough(new TextDecoderStream()).pipeTo(\n        new WritableStream<string>({\n          async write(chunk) {\n            accumulatedText += chunk;\n\n            const { value } = await parsePartialJson(accumulatedText);\n            const currentObject = value as DeepPartial<RESULT>;\n\n            if (!isDeepEqualData(latestObject, currentObject)) {\n              latestObject = currentObject;\n\n              mutate(currentObject);\n            }\n          },\n\n          async close() {\n            setIsLoading(false);\n            abortControllerRef.current = null;\n\n            if (onFinish != null) {\n              const validationResult = await safeValidateTypes({\n                value: latestObject,\n                schema: asSchema(schema),\n              });\n\n              onFinish(\n                validationResult.success\n                  ? { object: validationResult.value, error: undefined }\n                  : { object: undefined, error: validationResult.error },\n              );\n            }\n          },\n        }),\n      );\n    } catch (error) {\n      if (isAbortError(error)) {\n        return;\n      }\n\n      if (onError && error instanceof Error) {\n        onError(error);\n      }\n\n      setIsLoading(false);\n      setError(error instanceof Error ? error : new Error(String(error)));\n    }\n  };\n\n  return {\n    submit,\n    object: data,\n    error,\n    isLoading,\n    stop,\n  };\n}\n\nexport const experimental_useObject = 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+{"version":3,"sources":["../src/use-chat.ts","../src/chat.react.ts","../src/throttle.ts","../src/use-completion.ts","../src/use-object.ts"],"sourcesContent":["import {\n  AbstractChat,\n  ChatInit as BaseChatInit,\n  ChatEvent,\n  InferUIDataParts,\n  UIDataPartSchemas,\n  type CreateUIMessage,\n  type UIMessage,\n} from 'ai';\nimport { useCallback, useRef, useSyncExternalStore } from 'react';\nimport { Chat } from './chat.react';\nimport { throttle } from './throttle';\n\nexport type { CreateUIMessage, UIMessage };\n\nexport type UseChatHelpers<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = {\n  /**\n   * The id of the chat.\n   */\n  readonly id: string;\n\n  /**\n   * Update the `messages` state locally. This is useful when you want to\n   * edit the messages on the client, and then trigger the `reload` method\n   * manually to regenerate the AI response.\n   */\n  setMessages: (\n    messages:\n      | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n      | ((\n          messages: UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[],\n        ) => UIMessage<\n          MESSAGE_METADATA,\n          InferUIDataParts<DATA_PART_SCHEMAS>\n        >[]),\n  ) => void;\n\n  error: Error | undefined;\n} & Pick<\n  AbstractChat<MESSAGE_METADATA, DATA_PART_SCHEMAS>,\n  | 'sendMessage'\n  | 'reload'\n  | 'stop'\n  | 'experimental_resume'\n  | 'addToolResult'\n  | 'status'\n  | 'messages'\n>;\n\nexport type UseChatOptions<\n  MESSAGE_METADATA = unknown,\n  DATA_TYPE_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> = (\n  | { chat: Chat<MESSAGE_METADATA, DATA_TYPE_SCHEMAS> }\n  | BaseChatInit<MESSAGE_METADATA, DATA_TYPE_SCHEMAS>\n) & {\n  /**\nCustom throttle wait in ms for the chat messages and data updates.\nDefault is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n};\n\nexport function useChat<\n  MESSAGE_METADATA = unknown,\n  DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n>({\n  experimental_throttle: throttleWaitMs,\n  ...options\n}: UseChatOptions<MESSAGE_METADATA, DATA_PART_SCHEMAS> = {}): UseChatHelpers<\n  MESSAGE_METADATA,\n  DATA_PART_SCHEMAS\n> {\n  const chatRef = useRef('chat' in options ? options.chat : new Chat(options));\n\n  const subscribe = useCallback(\n    ({\n      onStoreChange,\n      eventType,\n    }: {\n      onStoreChange: () => void;\n      eventType: ChatEvent['type'];\n    }) =>\n      chatRef.current.subscribe({\n        onChange: event => {\n          if (event.type !== eventType) return;\n          onStoreChange();\n        },\n      }),\n    [chatRef],\n  );\n\n  const addToolResult = useCallback(\n    (\n      options: Parameters<\n        Chat<MESSAGE_METADATA, DATA_PART_SCHEMAS>['addToolResult']\n      >[0],\n    ) => chatRef.current.addToolResult(options),\n    [chatRef],\n  );\n\n  const status = useSyncExternalStore(\n    callback =>\n      subscribe({\n        onStoreChange: callback,\n        eventType: 'status-changed',\n      }),\n    () => chatRef.current.status,\n    () => chatRef.current.status,\n  );\n\n  const subscribeToChatStoreForMessages = useCallback(\n    (callback: () => void) => {\n      return subscribe({\n        onStoreChange: throttleWaitMs\n          ? throttle(callback, throttleWaitMs)\n          : callback,\n        eventType: 'messages-changed',\n      });\n    },\n    [subscribe, throttleWaitMs],\n  );\n\n  const messages = useSyncExternalStore(\n    callback => subscribeToChatStoreForMessages(callback),\n    () => chatRef.current.messages,\n    () => chatRef.current.messages,\n  );\n\n  const setMessages = useCallback(\n    (\n      messagesParam:\n        | UIMessage<MESSAGE_METADATA, InferUIDataParts<DATA_PART_SCHEMAS>>[]\n        | ((\n            messages: UIMessage<\n              MESSAGE_METADATA,\n              InferUIDataParts<DATA_PART_SCHEMAS>\n            >[],\n          ) => UIMessage<\n            MESSAGE_METADATA,\n            InferUIDataParts<DATA_PART_SCHEMAS>\n          >[]),\n    ) => {\n      if (typeof messagesParam === 'function') {\n        messagesParam = messagesParam(messages);\n      }\n\n      chatRef.current.messages = messagesParam;\n    },\n    [chatRef, messages],\n  );\n\n  return {\n    id: chatRef.current.id,\n    messages,\n    setMessages,\n    sendMessage: chatRef.current.sendMessage,\n    reload: chatRef.current.reload,\n    stop: chatRef.current.stop,\n    error: chatRef.current.error,\n    experimental_resume: chatRef.current.experimental_resume,\n    status,\n    addToolResult,\n  };\n}\n","import {\n  AbstractChat,\n  ChatInit,\n  ChatState,\n  ChatStatus,\n  UIDataPartSchemas,\n  UIDataTypes,\n  UIMessage,\n} from 'ai';\n\nclass ReactChatState<MESSAGE_METADATA, DATA_TYPES extends UIDataTypes>\n  implements ChatState<MESSAGE_METADATA, DATA_TYPES>\n{\n  #messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[];\n  status: ChatStatus = 'ready';\n  error: Error | undefined = undefined;\n\n  constructor(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[] = []) {\n    this.#messages = messages;\n  }\n\n  get messages() {\n    return this.#messages;\n  }\n\n  set messages(messages: UIMessage<MESSAGE_METADATA, DATA_TYPES>[]) {\n    this.#messages = [...messages];\n  }\n\n  pushMessage = (message: UIMessage<MESSAGE_METADATA, DATA_TYPES>) => {\n    this.#messages = this.messages.concat(message);\n  };\n\n  popMessage = () => {\n    this.#messages = this.messages.slice(0, -1);\n  };\n\n  replaceMessage = (\n    index: number,\n    message: UIMessage<MESSAGE_METADATA, DATA_TYPES>,\n  ) => {\n    this.#messages = [\n      ...this.#messages.slice(0, index),\n      message,\n      ...this.#messages.slice(index + 1),\n    ];\n  };\n\n  snapshot = <T>(value: T): T => structuredClone(value);\n}\n\nexport class Chat<\n  MESSAGE_METADATA,\n  UI_DATA_PART_SCHEMAS extends UIDataPartSchemas = UIDataPartSchemas,\n> extends AbstractChat<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS> {\n  constructor({\n    messages,\n    ...init\n  }: ChatInit<MESSAGE_METADATA, UI_DATA_PART_SCHEMAS>) {\n    super({ ...init, state: new ReactChatState(messages) });\n  }\n}\n","import throttleFunction from 'throttleit';\n\nexport function throttle<T extends (...args: any[]) => any>(\n  fn: T,\n  waitMs: number | undefined,\n): T {\n  return waitMs != null ? throttleFunction(fn, waitMs) : fn;\n}\n","import {\n  CompletionRequestOptions,\n  UseCompletionOptions,\n  callCompletionApi,\n} from 'ai';\nimport { useCallback, useEffect, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport { throttle } from './throttle';\n\nexport type { UseCompletionOptions };\n\nexport type UseCompletionHelpers = {\n  /** The current completion result */\n  completion: string;\n  /**\n   * Send a new prompt to the API endpoint and update the completion state.\n   */\n  complete: (\n    prompt: string,\n    options?: CompletionRequestOptions,\n  ) => Promise<string | null | undefined>;\n  /** The error object of the API request */\n  error: undefined | Error;\n  /**\n   * Abort the current API request but keep the generated tokens.\n   */\n  stop: () => void;\n  /**\n   * Update the `completion` state locally.\n   */\n  setCompletion: (completion: string) => void;\n  /** The current value of the input */\n  input: string;\n  /** setState-powered method to update the input value */\n  setInput: React.Dispatch<React.SetStateAction<string>>;\n  /**\n   * An input/textarea-ready onChange handler to control the value of the input\n   * @example\n   * ```jsx\n   * <input onChange={handleInputChange} value={input} />\n   * ```\n   */\n  handleInputChange: (\n    event:\n      | React.ChangeEvent<HTMLInputElement>\n      | React.ChangeEvent<HTMLTextAreaElement>,\n  ) => void;\n\n  /**\n   * Form submission handler to automatically reset input and append a user message\n   * @example\n   * ```jsx\n   * <form onSubmit={handleSubmit}>\n   *  <input onChange={handleInputChange} value={input} />\n   * </form>\n   * ```\n   */\n  handleSubmit: (event?: { preventDefault?: () => void }) => void;\n\n  /** Whether the API request is in progress */\n  isLoading: boolean;\n};\n\nexport function useCompletion({\n  api = '/api/completion',\n  id,\n  initialCompletion = '',\n  initialInput = '',\n  credentials,\n  headers,\n  body,\n  streamProtocol = 'data',\n  fetch,\n  onFinish,\n  onError,\n  experimental_throttle: throttleWaitMs,\n}: UseCompletionOptions & {\n  /**\n   * Custom throttle wait in ms for the completion and data updates.\n   * Default is undefined, which disables throttling.\n   */\n  experimental_throttle?: number;\n} = {}): UseCompletionHelpers {\n  // Generate an unique id for the completion if not provided.\n  const hookId = useId();\n  const completionId = id || hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<string>([api, completionId], null, {\n    fallbackData: initialCompletion,\n  });\n\n  const { data: isLoading = false, mutate: mutateLoading } = useSWR<boolean>(\n    [completionId, 'loading'],\n    null,\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const completion = data!;\n\n  // Abort controller to cancel the current API call.\n  const [abortController, setAbortController] =\n    useState<AbortController | null>(null);\n\n  const extraMetadataRef = useRef({\n    credentials,\n    headers,\n    body,\n  });\n\n  useEffect(() => {\n    extraMetadataRef.current = {\n      credentials,\n      headers,\n      body,\n    };\n  }, [credentials, headers, body]);\n\n  const triggerRequest = useCallback(\n    async (prompt: string, options?: CompletionRequestOptions) =>\n      callCompletionApi({\n        api,\n        prompt,\n        credentials: extraMetadataRef.current.credentials,\n        headers: { ...extraMetadataRef.current.headers, ...options?.headers },\n        body: {\n          ...extraMetadataRef.current.body,\n          ...options?.body,\n        },\n        streamProtocol,\n        fetch,\n        // throttle streamed ui updates:\n        setCompletion: throttle(\n          (completion: string) => mutate(completion, false),\n          throttleWaitMs,\n        ),\n        setLoading: mutateLoading,\n        setError,\n        setAbortController,\n        onFinish,\n        onError,\n      }),\n    [\n      mutate,\n      mutateLoading,\n      api,\n      extraMetadataRef,\n      setAbortController,\n      onFinish,\n      onError,\n      setError,\n      streamProtocol,\n      fetch,\n      throttleWaitMs,\n    ],\n  );\n\n  const stop = useCallback(() => {\n    if (abortController) {\n      abortController.abort();\n      setAbortController(null);\n    }\n  }, [abortController]);\n\n  const setCompletion = useCallback(\n    (completion: string) => {\n      mutate(completion, false);\n    },\n    [mutate],\n  );\n\n  const complete = useCallback<UseCompletionHelpers['complete']>(\n    async (prompt, options) => {\n      return triggerRequest(prompt, options);\n    },\n    [triggerRequest],\n  );\n\n  const [input, setInput] = useState(initialInput);\n\n  const handleSubmit = useCallback(\n    (event?: { preventDefault?: () => void }) => {\n      event?.preventDefault?.();\n      return input ? complete(input) : undefined;\n    },\n    [input, complete],\n  );\n\n  const handleInputChange = useCallback(\n    (e: any) => {\n      setInput(e.target.value);\n    },\n    [setInput],\n  );\n\n  return {\n    completion,\n    complete,\n    error,\n    setCompletion,\n    stop,\n    input,\n    setInput,\n    handleInputChange,\n    handleSubmit,\n    isLoading,\n  };\n}\n","import {\n  FetchFunction,\n  InferSchema,\n  isAbortError,\n  safeValidateTypes,\n} from '@ai-sdk/provider-utils';\nimport {\n  asSchema,\n  DeepPartial,\n  isDeepEqualData,\n  parsePartialJson,\n  Schema,\n} from 'ai';\nimport { useCallback, useId, useRef, useState } from 'react';\nimport useSWR from 'swr';\nimport * as z3 from 'zod/v3';\nimport * as z4 from 'zod/v4/core';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => fetch;\n\nexport type Experimental_UseObjectOptions<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT,\n> = {\n  /**\n   * The API endpoint. It should stream JSON that matches the schema as chunked text.\n   */\n  api: string;\n\n  /**\n   * A Zod schema that defines the shape of the complete object.\n   */\n  schema: SCHEMA;\n\n  /**\n   * An unique identifier. If not provided, a random one will be\n   * generated. When provided, the `useObject` hook with the same `id` will\n   * have shared states across components.\n   */\n  id?: string;\n\n  /**\n   * An optional value for the initial object.\n   */\n  initialValue?: DeepPartial<RESULT>;\n\n  /**\nCustom fetch implementation. You can use it as a middleware to intercept requests,\nor to provide a custom fetch implementation for e.g. testing.\n    */\n  fetch?: FetchFunction;\n\n  /**\nCallback that is called when the stream has finished.\n     */\n  onFinish?: (event: {\n    /**\nThe generated object (typed according to the schema).\nCan be undefined if the final object does not match the schema.\n   */\n    object: RESULT | undefined;\n\n    /**\nOptional error object. This is e.g. a TypeValidationError when the final object does not match the schema.\n */\n    error: Error | undefined;\n  }) => Promise<void> | void;\n\n  /**\n   * Callback function to be called when an error is encountered.\n   */\n  onError?: (error: Error) => void;\n\n  /**\n   * Additional HTTP headers to be included in the request.\n   */\n  headers?: Record<string, string> | Headers;\n\n  /**\n   * The credentials mode to be used for the fetch request.\n   * Possible values are: 'omit', 'same-origin', 'include'.\n   * Defaults to 'same-origin'.\n   */\n  credentials?: RequestCredentials;\n};\n\nexport type Experimental_UseObjectHelpers<RESULT, INPUT> = {\n  /**\n   * Calls the API with the provided input as JSON body.\n   */\n  submit: (input: INPUT) => void;\n\n  /**\n   * The current value for the generated object. Updated as the API streams JSON chunks.\n   */\n  object: DeepPartial<RESULT> | undefined;\n\n  /**\n   * The error object of the API request if any.\n   */\n  error: Error | undefined;\n\n  /**\n   * Flag that indicates whether an API request is in progress.\n   */\n  isLoading: boolean;\n\n  /**\n   * Abort the current request immediately, keep the current partial object if any.\n   */\n  stop: () => void;\n};\n\nfunction useObject<\n  SCHEMA extends z4.$ZodType | z3.Schema | Schema,\n  RESULT = InferSchema<SCHEMA>,\n  INPUT = any,\n>({\n  api,\n  id,\n  schema, // required, in the future we will use it for validation\n  initialValue,\n  fetch,\n  onError,\n  onFinish,\n  headers,\n  credentials,\n}: Experimental_UseObjectOptions<\n  SCHEMA,\n  RESULT\n>): Experimental_UseObjectHelpers<RESULT, INPUT> {\n  // Generate an unique id if not provided.\n  const hookId = useId();\n  const completionId = id ?? hookId;\n\n  // Store the completion state in SWR, using the completionId as the key to share states.\n  const { data, mutate } = useSWR<DeepPartial<RESULT>>(\n    [api, completionId],\n    null,\n    { fallbackData: initialValue },\n  );\n\n  const [error, setError] = useState<undefined | Error>(undefined);\n  const [isLoading, setIsLoading] = useState(false);\n\n  // Abort controller to cancel the current API call.\n  const abortControllerRef = useRef<AbortController | null>(null);\n\n  const stop = useCallback(() => {\n    try {\n      abortControllerRef.current?.abort();\n    } catch (ignored) {\n    } finally {\n      setIsLoading(false);\n      abortControllerRef.current = null;\n    }\n  }, []);\n\n  const submit = async (input: INPUT) => {\n    try {\n      mutate(undefined); // reset the data\n      setIsLoading(true);\n      setError(undefined);\n\n      const abortController = new AbortController();\n      abortControllerRef.current = abortController;\n\n      const actualFetch = fetch ?? getOriginalFetch();\n      const response = await actualFetch(api, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...headers,\n        },\n        credentials,\n        signal: abortController.signal,\n        body: JSON.stringify(input),\n      });\n\n      if (!response.ok) {\n        throw new Error(\n          (await response.text()) ?? 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package.json

 {
   "name": "@ai-sdk/react",
-  "version": "2.0.0-alpha.9",
+  "version": "2.0.0-alpha.10",
   "license": "Apache-2.0",
@@ -24,4 +24,4 @@ "sideEffects": false,
     "throttleit": "2.1.0",
-    "ai": "5.0.0-alpha.9",
-    "@ai-sdk/provider-utils": "3.0.0-alpha.9"
+    "ai": "5.0.0-alpha.10",
+    "@ai-sdk/provider-utils": "3.0.0-alpha.10"
   },
@@ -28,0 +28,0 @@ "devDependencies": {

New alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Fixed alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Worsened metrics

Total package byte prevSize

116471

-6.96%

Lines of code

963

-8.11%

Dependency changes

• + Added

  @ai-sdk/gateway@1.0.0-alpha.10
  (transitive)

• + Added

  @ai-sdk/provider@2.0.0-alpha.10
  (transitive)

• + Added

  @ai-sdk/provider-utils@3.0.0-alpha.10
  (transitive)

• + Added

  ai@5.0.0-alpha.10
  (transitive)

• - Removed

  @ai-sdk/gateway@1.0.0-alpha.9
  (transitive)

• - Removed

  @ai-sdk/provider@2.0.0-alpha.9
  (transitive)

• - Removed

  @ai-sdk/provider-utils@3.0.0-alpha.9
  (transitive)

• - Removed

  ai@5.0.0-alpha.9
  (transitive)

• Updated

  @ai-sdk/provider-utils@3.0.0-alpha.10

• Updated

  ai@5.0.0-alpha.10