chore(deps): bump zustand from 4.3.8 to 5.0.8

Bumps [zustand](https://github.com/pmndrs/zustand) from 4.3.8 to 5.0.8.
- [Release notes](https://github.com/pmndrs/zustand/releases)
- [Commits](https://github.com/pmndrs/zustand/compare/v4.3.8...v5.0.8)

---
updated-dependencies:
- dependency-name: zustand
  dependency-version: 5.0.8
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

.yarnrc.yml

@@ -1 +0,0 @@
-nodeLinker: node-modules

app/client/api.ts

@@ -107,8 +107,7 @@ export interface LLMModelProvider {
 
 export abstract class LLMApi {
   abstract chat(options: ChatOptions): Promise<void>;
-  abstract speech(options: SpeechOptions): Promise<ArrayBuffer | AudioBuffer>;
-  abstract streamSpeech?(options: SpeechOptions): AsyncGenerator<AudioBuffer>;
+  abstract speech(options: SpeechOptions): Promise<ArrayBuffer>;
   abstract usage(): Promise<LLMUsage>;
   abstract models(): Promise<LLMModel[]>;
 }

app/client/platforms/alibaba.ts

@@ -1,10 +1,5 @@
 "use client";
-import {
-  ApiPath,
-  Alibaba,
-  ALIBABA_BASE_URL,
-  REQUEST_TIMEOUT_MS,
-} from "@/app/constant";
+import { ApiPath, Alibaba, ALIBABA_BASE_URL } from "@/app/constant";
 import {
   useAccessStore,
   useAppConfig,
@@ -64,7 +59,6 @@ interface RequestPayload {
 }
 
 export class QwenApi implements LLMApi {
-  private audioContext?: AudioContext;
   path(path: string): string {
     const accessStore = useAccessStore.getState();
 
@@ -95,72 +89,10 @@ export class QwenApi implements LLMApi {
     return res?.output?.choices?.at(0)?.message?.content ?? "";
   }
 
-  async speech(options: SpeechOptions): Promise<ArrayBuffer> {
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
     throw new Error("Method not implemented.");
   }
 
-  async *streamSpeech(options: SpeechOptions): AsyncGenerator<AudioBuffer> {
-    const requestPayload = {
-      model: options.model,
-      input: {
-        text: options.input,
-        voice: options.voice,
-      },
-      speed: options.speed,
-      response_format: options.response_format,
-    };
-    const controller = new AbortController();
-    options.onController?.(controller);
-    try {
-      const speechPath = this.path(Alibaba.SpeechPath);
-      const speechPayload = {
-        method: "POST",
-        body: JSON.stringify(requestPayload),
-        signal: controller.signal,
-        headers: {
-          ...getHeaders(),
-          "X-DashScope-SSE": "enable",
-        },
-      };
-
-      // make a fetch request
-      const requestTimeoutId = setTimeout(
-        () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
-      );
-
-      const res = await fetch(speechPath, speechPayload);
-
-      const reader = res.body!.getReader();
-      const decoder = new TextDecoder();
-      let buffer = "";
-      while (true) {
-        const { done, value } = await reader.read();
-        if (done) {
-          break;
-        }
-        buffer += decoder.decode(value, { stream: true });
-        const lines = buffer.split("\n");
-        buffer = lines.pop() || "";
-
-        for (const line of lines) {
-          if (line.startsWith("data:")) {
-            const data = line.slice(5);
-            const json = JSON.parse(data);
-            if (json.output.audio.data) {
-              yield this.PCMBase64ToAudioBuffer(json.output.audio.data);
-            }
-          }
-        }
-      }
-      clearTimeout(requestTimeoutId);
-      reader.releaseLock();
-    } catch (e) {
-      console.log("[Request] failed to make a speech request", e);
-      throw e;
-    }
-  }
-
   async chat(options: ChatOptions) {
     const modelConfig = {
       ...useAppConfig.getState().modelConfig,
@@ -341,75 +273,5 @@ export class QwenApi implements LLMApi {
   async models(): Promise<LLMModel[]> {
     return [];
   }
-
-  // 播放 PCM base64 数据
-  private async PCMBase64ToAudioBuffer(base64Data: string) {
-    try {
-      // 解码 base64
-      const binaryString = atob(base64Data);
-      const bytes = new Uint8Array(binaryString.length);
-      for (let i = 0; i < binaryString.length; i++) {
-        bytes[i] = binaryString.charCodeAt(i);
-      }
-
-      // 转换为 AudioBuffer
-      const audioBuffer = await this.convertToAudioBuffer(bytes);
-
-      return audioBuffer;
-    } catch (error) {
-      console.error("播放 PCM 数据失败:", error);
-      throw error;
-    }
-  }
-
-  // 将 PCM 字节数据转换为 AudioBuffer
-  private convertToAudioBuffer(pcmData: Uint8Array) {
-    if (!this.audioContext) {
-      this.audioContext = new (window.AudioContext ||
-        window.webkitAudioContext)();
-    }
-    const audioContext = this.audioContext;
-    const channels = 1;
-    const sampleRate = 24000;
-    return new Promise<AudioBuffer>((resolve, reject) => {
-      try {
-        let float32Array;
-        // 16位 PCM 转换为 32位浮点数
-        float32Array = this.pcm16ToFloat32(pcmData);
-
-        // 创建 AudioBuffer
-        const audioBuffer = audioContext.createBuffer(
-          channels,
-          float32Array.length / channels,
-          sampleRate,
-        );
-
-        // 复制数据到 AudioBuffer
-        for (let channel = 0; channel < channels; channel++) {
-          const channelData = audioBuffer.getChannelData(channel);
-          for (let i = 0; i < channelData.length; i++) {
-            channelData[i] = float32Array[i * channels + channel];
-          }
-        }
-
-        resolve(audioBuffer);
-      } catch (error) {
-        reject(error);
-      }
-    });
-  }
-  // 16位 PCM 转 32位浮点数
-  private pcm16ToFloat32(pcmData: Uint8Array) {
-    const length = pcmData.length / 2;
-    const float32Array = new Float32Array(length);
-
-    for (let i = 0; i < length; i++) {
-      const int16 = (pcmData[i * 2 + 1] << 8) | pcmData[i * 2];
-      const int16Signed = int16 > 32767 ? int16 - 65536 : int16;
-      float32Array[i] = int16Signed / 32768;
-    }
-
-    return float32Array;
-  }
 }
 export { Alibaba };

app/client/platforms/openai.ts

@@ -200,6 +200,7 @@ export class ChatGPTApi implements LLMApi {
       options.config.model.startsWith("o1") ||
       options.config.model.startsWith("o3") ||
       options.config.model.startsWith("o4-mini");
+    const isGpt5 =  options.config.model.startsWith("gpt-5");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -230,7 +231,7 @@ export class ChatGPTApi implements LLMApi {
         messages,
         stream: options.config.stream,
         model: modelConfig.model,
-        temperature: !isO1OrO3 ? modelConfig.temperature : 1,
+        temperature: (!isO1OrO3 && !isGpt5) ? modelConfig.temperature : 1,
         presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
         frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
         top_p: !isO1OrO3 ? modelConfig.top_p : 1,
@@ -238,7 +239,13 @@ export class ChatGPTApi implements LLMApi {
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
-      if (isO1OrO3) {
+      if (isGpt5) {
+  	// Remove max_tokens if present
+  	delete requestPayload.max_tokens;
+  	// Add max_completion_tokens (or max_completion_tokens if that's what you meant)
+  	requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+
+      } else if (isO1OrO3) {
         // by default the o1/o3 models will not attempt to produce output that includes markdown formatting
         // manually add "Formatting re-enabled" developer message to encourage markdown inclusion in model responses
         // (https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#markdown-output)
@@ -251,8 +258,9 @@ export class ChatGPTApi implements LLMApi {
         requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
       }
 
+
       // add max_tokens to vision model
-      if (visionModel && !isO1OrO3) {
+      if (visionModel && !isO1OrO3 && ! isGpt5) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }

app/components/chat.tsx

@@ -101,6 +101,8 @@ import {
 import { useNavigate } from "react-router-dom";
 import {
   CHAT_PAGE_SIZE,
+  DEFAULT_TTS_ENGINE,
+  ModelProvider,
   Path,
   REQUEST_TIMEOUT_MS,
   ServiceProvider,
@@ -1284,7 +1286,6 @@ function _Chat() {
   const accessStore = useAccessStore();
   const [speechStatus, setSpeechStatus] = useState(false);
   const [speechLoading, setSpeechLoading] = useState(false);
-  const [speechCooldown, setSpeechCooldown] = useState(false);
 
   async function openaiSpeech(text: string) {
     if (speechStatus) {
@@ -1292,14 +1293,14 @@ function _Chat() {
       setSpeechStatus(false);
     } else {
       var api: ClientApi;
+      api = new ClientApi(ModelProvider.GPT);
       const config = useAppConfig.getState();
-      api = new ClientApi(config.ttsConfig.modelProvider);
       setSpeechLoading(true);
       ttsPlayer.init();
-      let audioBuffer: ArrayBuffer | AudioBuffer;
+      let audioBuffer: ArrayBuffer;
       const { markdownToTxt } = require("markdown-to-txt");
       const textContent = markdownToTxt(text);
-      if (config.ttsConfig.engine === "Edge") {
+      if (config.ttsConfig.engine !== DEFAULT_TTS_ENGINE) {
         const edgeVoiceName = accessStore.edgeVoiceName();
         const tts = new MsEdgeTTS();
         await tts.setMetadata(
@@ -1307,60 +1308,28 @@ function _Chat() {
           OUTPUT_FORMAT.AUDIO_24KHZ_96KBITRATE_MONO_MP3,
         );
         audioBuffer = await tts.toArrayBuffer(textContent);
-        playSpeech(audioBuffer);
       } else {
-        if (api.llm.streamSpeech) {
-          // 使用流式播放，边接收边播放
-          setSpeechStatus(true);
-          ttsPlayer.startStreamPlay(() => {
-            setSpeechStatus(false);
-          });
-
-          try {
-            for await (const chunk of api.llm.streamSpeech({
-              model: config.ttsConfig.model,
-              input: textContent,
-              voice: config.ttsConfig.voice,
-              speed: config.ttsConfig.speed,
-            })) {
-              ttsPlayer.addToQueue(chunk);
-            }
-            ttsPlayer.finishStreamPlay();
-          } catch (e) {
-            console.error("[Stream Speech]", e);
-            showToast(prettyObject(e));
-            setSpeechStatus(false);
-            ttsPlayer.stop();
-          } finally {
-            setSpeechLoading(false);
-          }
-        } else {
-          audioBuffer = await api.llm.speech({
-            model: config.ttsConfig.model,
-            input: textContent,
-            voice: config.ttsConfig.voice,
-            speed: config.ttsConfig.speed,
-          });
-          playSpeech(audioBuffer);
-        }
+        audioBuffer = await api.llm.speech({
+          model: config.ttsConfig.model,
+          input: textContent,
+          voice: config.ttsConfig.voice,
+          speed: config.ttsConfig.speed,
+        });
       }
+      setSpeechStatus(true);
+      ttsPlayer
+        .play(audioBuffer, () => {
+          setSpeechStatus(false);
+        })
+        .catch((e) => {
+          console.error("[OpenAI Speech]", e);
+          showToast(prettyObject(e));
+          setSpeechStatus(false);
+        })
+        .finally(() => setSpeechLoading(false));
     }
   }
 
-  function playSpeech(audioBuffer: ArrayBuffer | AudioBuffer) {
-    setSpeechStatus(true);
-    ttsPlayer
-      .play(audioBuffer, () => {
-        setSpeechStatus(false);
-      })
-      .catch((e) => {
-        console.error("[OpenAI Speech]", e);
-        showToast(prettyObject(e));
-        setSpeechStatus(false);
-      })
-      .finally(() => setSpeechLoading(false));
-  }
-
   const context: RenderMessage[] = useMemo(() => {
     return session.mask.hideContext ? [] : session.mask.context.slice();
   }, [session.mask.context, session.mask.hideContext]);

app/components/tts-config.tsx

@@ -3,9 +3,10 @@ import { TTSConfig, TTSConfigValidator } from "../store";
 import Locale from "../locales";
 import { ListItem, Select } from "./ui-lib";
 import {
-    ServiceProvider,
-    TTS_CONFIGS,
-    TTSEngineType
+  DEFAULT_TTS_ENGINE,
+  DEFAULT_TTS_ENGINES,
+  DEFAULT_TTS_MODELS,
+  DEFAULT_TTS_VOICES,
 } from "../constant";
 import { InputRange } from "./input-range";
 
@@ -47,33 +48,22 @@ export function TTSConfigList(props: {
         <Select
           value={props.ttsConfig.engine}
           onChange={(e) => {
-            const newEngine = e.currentTarget.value as TTSEngineType;
             props.updateConfig(
-              (config) => {
-                config.engine = TTSConfigValidator.engine(newEngine);
-                const engineConfig = TTS_CONFIGS[newEngine];
-                config.model = TTSConfigValidator.model(
-                    engineConfig.Model[0] || ""
-                );
-                config.voice = TTSConfigValidator.voice(
-                    engineConfig.Voices[0] || ""
-                );
-                config.modelProvider = TTSConfigValidator.modelProvider(
-                    engineConfig.ModelProvider
-                );
-              }
+              (config) =>
+                (config.engine = TTSConfigValidator.engine(
+                  e.currentTarget.value,
+                )),
             );
           }}
         >
-          {Object.keys(TTS_CONFIGS).map((v, i) => (
+          {DEFAULT_TTS_ENGINES.map((v, i) => (
             <option value={v} key={i}>
-              {v}-TTS
+              {v}
             </option>
           ))}
         </Select>
       </ListItem>
-      {(props.ttsConfig.engine === ServiceProvider.OpenAI || 
-        props.ttsConfig.engine === ServiceProvider.Alibaba) && (
+      {props.ttsConfig.engine === DEFAULT_TTS_ENGINE && (
         <>
           <ListItem title={Locale.Settings.TTS.Model}>
             <Select
@@ -87,7 +77,7 @@ export function TTSConfigList(props: {
                 );
               }}
             >
-              {TTS_CONFIGS[props.ttsConfig.engine]!.Model.map((v, i) => (
+              {DEFAULT_TTS_MODELS.map((v, i) => (
                 <option value={v} key={i}>
                   {v}
                 </option>
@@ -109,7 +99,7 @@ export function TTSConfigList(props: {
                 );
               }}
             >
-              {TTS_CONFIGS[props.ttsConfig.engine]!.Voices.map((v, i) => (
+              {DEFAULT_TTS_VOICES.map((v, i) => (
                 <option value={v} key={i}>
                   {v}
                 </option>

app/constant.ts

@@ -232,7 +232,6 @@ export const Alibaba = {
     }
     return `v1/services/aigc/text-generation/generation`;
   },
-  SpeechPath: "v1/services/aigc/multimodal-generation/generation",
 };
 
 export const Tencent = {
@@ -462,49 +461,19 @@ export const KnowledgeCutOffDate: Record<string, string> = {
   "deepseek-coder": "2024-07",
 };
 
-export const DEFAULT_TTS_ENGINE = ServiceProvider.OpenAI;
+export const DEFAULT_TTS_ENGINE = "OpenAI-TTS";
+export const DEFAULT_TTS_ENGINES = ["OpenAI-TTS", "Edge-TTS"];
 export const DEFAULT_TTS_MODEL = "tts-1";
 export const DEFAULT_TTS_VOICE = "alloy";
-
-export const OPENAI_TTS = {
-    Provider: ServiceProvider.OpenAI,
-    ModelProvider: ModelProvider.GPT,
-    Model: ["tts-1", "tts-1-hd"],
-    Voices: ["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
-} as const;
-
-export const ALIBABA_TTS = {
-    Provider: ServiceProvider.Alibaba,
-    ModelProvider: ModelProvider.Qwen,
-    Model: ["qwen-tts", "qwen-tts-latest"],
-    Voices: ["Chelsie", "Cherry", "Ethan", "Serena", "Dylan", "Jada", "Sunny"],
-} as const;
-
-export const EDGE_TTS = {
-    Provider: "Edge" as const,
-    ModelProvider: ModelProvider.GPT,
-    Model: [] as string[],
-    Voices: [] as string[],
-} as const;
-
-export type TTSEngineType = ServiceProvider.OpenAI | ServiceProvider.Alibaba | "Edge";
-
-export const DEFAULT_TTS_ENGINES = [ServiceProvider.OpenAI, ServiceProvider.Alibaba, "Edge"] as const;
-export const DEFAULT_TTS_MODELS = [...OPENAI_TTS.Model, ...ALIBABA_TTS.Model] as const;
-export const DEFAULT_TTS_VOICES = [...OPENAI_TTS.Voices, ...ALIBABA_TTS.Voices] as const;
-
-interface TTSConfigItem {
-    Provider: ServiceProvider | "Edge";
-    Model: readonly string[];
-    Voices: readonly string[];
-    ModelProvider: ModelProvider;
-}
-
-export const TTS_CONFIGS: Record<TTSEngineType, TTSConfigItem> = {
-    [ServiceProvider.OpenAI]: OPENAI_TTS,
-    [ServiceProvider.Alibaba]: ALIBABA_TTS,
-    Edge: EDGE_TTS,
-} as const;
+export const DEFAULT_TTS_MODELS = ["tts-1", "tts-1-hd"];
+export const DEFAULT_TTS_VOICES = [
+  "alloy",
+  "echo",
+  "fable",
+  "onyx",
+  "nova",
+  "shimmer",
+];
 
 export const VISION_MODEL_REGEXES = [
   /vision/,
@@ -524,6 +493,7 @@ export const VISION_MODEL_REGEXES = [
   /o3/,
   /o4-mini/,
   /grok-4/i,
+  /gpt-5/
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@@ -548,6 +518,11 @@ const openaiModels = [
   "gpt-4.1-nano-2025-04-14",
   "gpt-4.5-preview",
   "gpt-4.5-preview-2025-02-27",
+  "gpt-5-chat",
+  "gpt-5-mini",
+  "gpt-5-nano",
+  "gpt-5",
+  "gpt-5-chat-2025-01-01-preview",
   "gpt-4o",
   "gpt-4o-2024-05-13",
   "gpt-4o-2024-08-06",
@@ -951,4 +926,3 @@ export const DEFAULT_GA_ID = "G-89WN60ZK2E";
 
 export const SAAS_CHAT_URL = "https://nextchat.club";
 export const SAAS_CHAT_UTM_URL = "https://nextchat.club?utm=github";
-

app/store/config.ts

@@ -13,8 +13,6 @@ import {
   DEFAULT_TTS_VOICES,
   StoreKey,
   ServiceProvider,
-  TTSEngineType,
-  ModelProvider,
 } from "../constant";
 import { createPersistStore } from "../utils/store";
 import type { Voice } from "rt-client";
@@ -22,6 +20,7 @@ import type { Voice } from "rt-client";
 export type ModelType = (typeof DEFAULT_MODELS)[number]["name"];
 export type TTSModelType = (typeof DEFAULT_TTS_MODELS)[number];
 export type TTSVoiceType = (typeof DEFAULT_TTS_VOICES)[number];
+export type TTSEngineType = (typeof DEFAULT_TTS_ENGINES)[number];
 
 export enum SubmitKey {
   Enter = "Enter",
@@ -87,8 +86,7 @@ export const DEFAULT_CONFIG = {
   ttsConfig: {
     enable: false,
     autoplay: false,
-    modelProvider: ModelProvider.GPT,
-    engine: DEFAULT_TTS_ENGINE as TTSEngineType,
+    engine: DEFAULT_TTS_ENGINE,
     model: DEFAULT_TTS_MODEL,
     voice: DEFAULT_TTS_VOICE,
     speed: 1.0,
@@ -128,21 +126,18 @@ export function limitNumber(
 }
 
 export const TTSConfigValidator = {
-  engine(x: string | TTSEngineType): TTSEngineType {
+  engine(x: string) {
     return x as TTSEngineType;
   },
-  model(x: string): TTSModelType {
+  model(x: string) {
     return x as TTSModelType;
   },
-  voice(x: string): TTSVoiceType {
+  voice(x: string) {
     return x as TTSVoiceType;
   },
-  speed(x: number): number {
+  speed(x: number) {
     return limitNumber(x, 0.25, 4.0, 1.0);
   },
-  modelProvider(x: string): ModelProvider {
-    return x as ModelProvider;
-  },
 };
 
 export const ModalConfigValidator = {

app/utils/audio.ts

@@ -1,48 +1,25 @@
 type TTSPlayer = {
   init: () => void;
-  play: (
-    audioBuffer: ArrayBuffer | AudioBuffer,
-    onended: () => void | null,
-  ) => Promise<void>;
-  playQueue: (
-    audioBuffers: (ArrayBuffer | AudioBuffer)[],
-    onended: () => void | null,
-  ) => Promise<void>;
-  addToQueue: (audioBuffer: ArrayBuffer | AudioBuffer) => void;
-  startStreamPlay: (onended: () => void | null) => void;
-  finishStreamPlay: () => void;
+  play: (audioBuffer: ArrayBuffer, onended: () => void | null) => Promise<void>;
   stop: () => void;
 };
 
 export function createTTSPlayer(): TTSPlayer {
   let audioContext: AudioContext | null = null;
   let audioBufferSourceNode: AudioBufferSourceNode | null = null;
-  let isPlaying = false;
-  let playQueue: (ArrayBuffer | AudioBuffer)[] = [];
-  let currentOnended: (() => void | null) | null = null;
-  let isStreamMode = false;
-  let streamFinished = false;
 
   const init = () => {
-    console.log("[TTSPlayer] init");
     audioContext = new (window.AudioContext || window.webkitAudioContext)();
     audioContext.suspend();
   };
 
-  const play = async (
-    audioBuffer: ArrayBuffer | AudioBuffer,
-    onended: () => void | null,
-  ) => {
+  const play = async (audioBuffer: ArrayBuffer, onended: () => void | null) => {
     if (audioBufferSourceNode) {
       audioBufferSourceNode.stop();
       audioBufferSourceNode.disconnect();
     }
-    let buffer: AudioBuffer;
-    if (audioBuffer instanceof AudioBuffer) {
-      buffer = audioBuffer;
-    } else {
-      buffer = await audioContext!.decodeAudioData(audioBuffer);
-    }
+
+    const buffer = await audioContext!.decodeAudioData(audioBuffer);
     audioBufferSourceNode = audioContext!.createBufferSource();
     audioBufferSourceNode.buffer = buffer;
     audioBufferSourceNode.connect(audioContext!.destination);
@@ -52,109 +29,17 @@ export function createTTSPlayer(): TTSPlayer {
     audioBufferSourceNode.onended = onended;
   };
 
-  const playNext = async () => {
-    if (playQueue.length === 0) {
-      // 在流模式下，如果队列为空但流还没结束，等待
-      if (isStreamMode && !streamFinished) {
-        setTimeout(() => playNext(), 100);
-        return;
-      }
-
-      isPlaying = false;
-      isStreamMode = false;
-      streamFinished = false;
-      if (currentOnended) {
-        currentOnended();
-        currentOnended = null;
-      }
-      return;
-    }
-
-    const nextBuffer = playQueue.shift()!;
-    let buffer: AudioBuffer;
-    if (nextBuffer instanceof AudioBuffer) {
-      buffer = nextBuffer;
-    } else {
-      buffer = await audioContext!.decodeAudioData(nextBuffer);
-    }
-
-    if (audioBufferSourceNode) {
-      audioBufferSourceNode.stop();
-      audioBufferSourceNode.disconnect();
-    }
-
-    audioBufferSourceNode = audioContext!.createBufferSource();
-    audioBufferSourceNode.buffer = buffer;
-    audioBufferSourceNode.connect(audioContext!.destination);
-    audioBufferSourceNode.onended = () => {
-      playNext();
-    };
-
-    await audioContext!.resume();
-    audioBufferSourceNode.start();
-  };
-
-  const playQueueMethod = async (
-    audioBuffers: (ArrayBuffer | AudioBuffer)[],
-    onended: () => void | null,
-  ) => {
-    playQueue = [...audioBuffers];
-    currentOnended = onended;
-    if (!isPlaying) {
-      isPlaying = true;
-      await playNext();
-    }
-  };
-
-  const addToQueue = (audioBuffer: ArrayBuffer | AudioBuffer) => {
-    if (streamFinished) {
-      return;
-    }
-    playQueue.push(audioBuffer);
-  };
-
-  const startStreamPlay = (onended: () => void | null) => {
-    isStreamMode = true;
-    streamFinished = false;
-    playQueue = [];
-    currentOnended = onended;
-
-    if (!isPlaying) {
-      isPlaying = true;
-      playNext();
-    }
-  };
-
-  const finishStreamPlay = () => {
-    streamFinished = true;
-  };
-
-  const stop = async () => {
-    console.log("[TTSPlayer] stop");
-    playQueue = [];
-    isPlaying = false;
-    isStreamMode = false;
-    streamFinished = true;
-    currentOnended = null;
-
+  const stop = () => {
     if (audioBufferSourceNode) {
       audioBufferSourceNode.stop();
       audioBufferSourceNode.disconnect();
       audioBufferSourceNode = null;
     }
     if (audioContext) {
-      await audioContext.close();
+      audioContext.close();
       audioContext = null;
     }
   };
 
-  return {
-    init,
-    play,
-    playQueue: playQueueMethod,
-    addToQueue,
-    startStreamPlay,
-    finishStreamPlay,
-    stop,
-  };
+  return { init, play, stop };
 }

package.json

@@ -56,7 +56,7 @@
     "spark-md5": "^3.0.2",
     "use-debounce": "^9.0.4",
     "zod": "^3.24.1",
-    "zustand": "^4.3.8"
+    "zustand": "^5.0.8"
   },
   "devDependencies": {
     "@tauri-apps/api": "^2.1.1",
@@ -93,9 +93,5 @@
   "resolutions": {
     "lint-staged/yaml": "^2.2.2"
   },
-  "packageManager": "yarn@1.22.19",
-  "volta": {
-    "node": "20.19.4",
-    "yarn": "1.22.22"
-  }
+  "packageManager": "yarn@1.22.19"
 }

yarn.lock

@@ -8328,7 +8328,7 @@ use-memo-one@^1.1.3:
   resolved "https://registry.npmmirror.com/use-memo-one/-/use-memo-one-1.1.3.tgz#2fd2e43a2169eabc7496960ace8c79efef975e99"
   integrity sha512-g66/K7ZQGYrI6dy8GLpVcMsBp4s17xNkYJVSMvTEevGy3nDxHOfE6z8BVE22+5G5x7t3+bhzrlTDB7ObrEE0cQ==
 
-use-sync-external-store@1.2.0, use-sync-external-store@^1.0.0:
+use-sync-external-store@^1.0.0:
   version "1.2.0"
   resolved "https://registry.yarnpkg.com/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz#7dbefd6ef3fe4e767a0cf5d7287aacfb5846928a"
   integrity sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==
@@ -8637,12 +8637,10 @@ zod@^3.23.8, zod@^3.24.1:
   resolved "https://registry.yarnpkg.com/zod/-/zod-3.24.1.tgz#27445c912738c8ad1e9de1bea0359fa44d9d35ee"
   integrity sha512-muH7gBL9sI1nciMZV67X5fTKKBLtwpZ5VBp1vsOQzj1MhrBZ4wlVCm3gedKZWLp0Oyel8sIGfeiz54Su+OVT+A==
 
-zustand@^4.3.8:
-  version "4.3.8"
-  resolved "https://registry.yarnpkg.com/zustand/-/zustand-4.3.8.tgz#37113df8e9e1421b0be1b2dca02b49b76210e7c4"
-  integrity sha512-4h28KCkHg5ii/wcFFJ5Fp+k1J3gJoasaIbppdgZFO4BPJnsNxL0mQXBSFgOgAdCdBj35aDTPvdAJReTMntFPGg==
-  dependencies:
-    use-sync-external-store "1.2.0"
+zustand@^5.0.8:
+  version "5.0.8"
+  resolved "https://registry.yarnpkg.com/zustand/-/zustand-5.0.8.tgz#b998a0c088c7027a20f2709141a91cb07ac57f8a"
+  integrity sha512-gyPKpIaxY9XcO2vSMrLbiER7QMAMGOQZVRdJ6Zi782jkbzZygq5GI9nG8g+sMgitRtndwaBSl7uiqC49o1SSiw==
 
 zwitch@^2.0.0:
   version "2.0.4"