```

feat(stt): 新增豆包语音识别集成

- 实现完整的 Doubao STT 组件，支持中文语音识别
- 提供 UI 配置界面，无需手动编辑配置文件
- 支持实时流式识别和自动标点符号添加
- 集成自动设备注册和凭据管理功能
- 添加 HACS 和 hassfest 验证工作流
- 配置 .gitignore 和 Apache 2.0 许可证文件
- 完善 README 文档和故障排除指南
```

.github/workflows/validate.yml

@@ -0,0 +1,29 @@
+name: "Validation And Formatting"
+on:
+  push:
+  pull_request:
+  workflow_dispatch:
+  schedule:
+    - cron: '0 0 * * *'
+jobs:
+  hacs:
+    runs-on: "ubuntu-latest"
+    name: HACS
+    steps:
+      - name: Check out the repository
+        uses: "actions/checkout@v3"
+
+      - name: HACS validation
+        uses: "hacs/action@main"
+        with:
+          category: "integration"
+
+  hassfest:
+    runs-on: "ubuntu-latest"
+    name: Hassfest
+    steps:
+      - name: Check out the repository
+        uses: "actions/checkout@v3"
+
+      - name: Hassfest validation
+        uses: "home-assistant/actions/hassfest@master"

.gitignore

@@ -0,0 +1,3 @@
+.idea/
+*.mp3
+*.pyc

LICENSE

@@ -0,0 +1,201 @@
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+   limitations under the License.

README.md

@@ -0,0 +1,159 @@
+# Doubao Speech-to-Text for Home Assistant
+
+豆包语音识别 Home Assistant 集成插件，基于 [doubaoime-asr](https://github.com/starccy/doubaoime-asr) 开发。
+
+
+## 功能特性
+
+- ✅ 完全兼容 Home Assistant STT 组件规范
+- ✅ UI 配置界面，无需手动编辑配置文件
+- ✅ 自动设备注册和凭据管理
+- ✅ 支持中文语音识别（zh-CN, zh）
+- ✅ 实时流式识别
+- ✅ 自动标点符号添加
+- ✅ 保留原有设备伪装功能
+
+## 系统要求
+
+- Home Assistant 2024.1+
+- Python 3.11+
+
+
+## 安装方法
+
+### 方法 1: 手动安装
+
+1. 将整个 `custom_components/hass_stt_doubao` 目录复制到 Home Assistant 配置目录的 `custom_components` 文件夹下：
+
+2. 重启 Home Assistant
+
+### 方法 2: HACS 安装（推荐）
+
+1. 确保你已经在 Home Assistant 中安装并配置了 HACS（Home Assistant Community Store）。
+2. 点击 HACS 界面左上角的菜单，选择 自定义仓库（Custom repositories），在弹出的窗口中输入仓库地址 https://github.com/xyzmos/hass_stt_doubao，类别选择 集成，然后点击 添加。之后再搜索 "Doubao STT" 并安装。
+3. 重启 Home Assistant
+
+## 配置
+
+### 通过 UI 配置（推荐）
+
+1. 进入 Home Assistant 设置 → 设备与服务
+2. 点击右下角 "添加集成"
+3. 搜索 "Doubao Speech to Text"
+4. 按照向导完成配置：
+   - **凭据文件路径**：默认 `doubao_credentials.json`（相对于 HA 配置目录）
+   - **启用标点符号**：默认启用
+
+### 配置说明
+
+- **凭据文件路径**：首次运行时会自动注册虚拟设备并保存凭据到此文件，避免重复注册
+- **启用标点符号**：是否在识别结果中自动添加标点符号
+
+## 使用示例
+
+### 在 Assist 中使用
+
+配置完成后，Doubao STT 会自动出现在 Assist 管道配置中：
+
+1. 进入设置 → Assist → 管道
+2. 选择或创建一个管道
+3. 在 "语音转文字" 选项中选择 "Doubao STT"
+4. 保存配置
+
+### 在自动化中使用
+
+```yaml
+automation:
+  - alias: "语音控制示例"
+    trigger:
+      - platform: event
+        event_type: voice_command
+    action:
+      - service: stt.process
+        data:
+          entity_id: stt.doubao_stt
+          language: zh-CN
+```
+
+## 技术架构
+
+```
+Home Assistant Audio Stream (PCM 16kHz Mono)
+           ↓
+    DoubaoSTTEntity
+           ↓
+    Audio Encoder (PCM → Opus)
+           ↓
+    DoubaoASR WebSocket Client
+           ↓
+    Doubao ASR Service
+           ↓
+    Recognition Result (Text)
+```
+
+## 目录结构
+
+```
+custom_components/hass_stt_doubao/
+├── __init__.py              # 集成初始化
+├── manifest.json            # 集成元数据
+├── const.py                 # 常量定义
+├── config_flow.py           # 配置流
+├── stt.py                   # STT 实体实现
+├── strings.json             # UI 字符串
+├── translations/
+│   └── zh.json             # 中文翻译
+└── doubaoime_asr/          # doubaoime-asr 核心模块
+    ├── __init__.py
+    ├── asr.py
+    ├── audio.py
+    ├── config.py
+    ├── constants.py
+    ├── device.py
+    └── asr_pb2.py
+```
+
+## 故障排除
+
+### 无法连接到 Doubao 服务
+
+1. 检查网络连接
+2. 确认系统已安装 libopus0
+3. 查看 Home Assistant 日志：`设置 → 系统 → 日志`
+
+### 识别结果为空
+
+1. 确保音频格式正确（PCM 16kHz Mono）
+2. 检查麦克风是否正常工作
+3. 尝试重新配置集成
+
+### 凭据失效
+
+1. 删除凭据文件（默认在配置目录下的 `doubao_credentials.json`）
+2. 重新配置集成，会自动重新注册设备
+
+## 免责声明
+
+本项目基于 [doubaoime-asr](https://github.com/starccy/doubaoime-asr) - 核心 ASR 的实现，**非官方提供的 API**。
+
+- 本项目仅供学习和研究目的
+- 不保证未来的可用性和稳定性
+- 服务端协议可能随时变更导致功能失效
+
+## 许可证
+
+MIT License
+
+## 致谢
+
+- [doubaoime-asr](https://github.com/starccy/doubaoime-asr) - 核心 ASR 实现
+- [Home Assistant](https://www.home-assistant.io/) - 智能家居平台
+
+## 更新日志
+
+### v1.0.0 (2026-02-05)
+- 初始版本
+- 完整的 STT 组件实现
+- UI 配置支持
+- 自动设备注册
+- 中文语音识别

custom_components/hass_stt_doubao/__init__.py

@@ -0,0 +1,55 @@
+"""The Doubao Speech-to-Text integration."""
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+
+from homeassistant.config_entries import ConfigEntry
+from homeassistant.const import Platform
+from homeassistant.core import HomeAssistant
+
+from .const import (
+    DOMAIN,
+    CONF_CREDENTIAL_PATH,
+    CONF_ENABLE_PUNCTUATION,
+    DEFAULT_CREDENTIAL_PATH,
+    DEFAULT_ENABLE_PUNCTUATION,
+)
+
+_LOGGER = logging.getLogger(__name__)
+
+PLATFORMS: list[Platform] = [Platform.STT]
+
+
+async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
+    """Set up Doubao Speech-to-Text from a config entry."""
+    hass.data.setdefault(DOMAIN, {})
+    
+    # 获取配置
+    credential_path = entry.data.get(CONF_CREDENTIAL_PATH, DEFAULT_CREDENTIAL_PATH)
+    enable_punctuation = entry.data.get(CONF_ENABLE_PUNCTUATION, DEFAULT_ENABLE_PUNCTUATION)
+    
+    # 将相对路径转换为绝对路径
+    if not Path(credential_path).is_absolute():
+        credential_path = hass.config.path(credential_path)
+    
+    # 存储配置供 STT 实体使用
+    hass.data[DOMAIN][entry.entry_id] = {
+        CONF_CREDENTIAL_PATH: credential_path,
+        CONF_ENABLE_PUNCTUATION: enable_punctuation,
+    }
+    
+    # 加载 STT 平台
+    await hass.config_entries.async_forward_entry_setups(entry, PLATFORMS)
+    
+    _LOGGER.info("Doubao STT 集成已设置完成")
+    
+    return True
+
+
+async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
+    """Unload a config entry."""
+    if unload_ok := await hass.config_entries.async_unload_platforms(entry, PLATFORMS):
+        hass.data[DOMAIN].pop(entry.entry_id)
+    
+    return unload_ok

custom_components/hass_stt_doubao/config_flow.py

@@ -0,0 +1,171 @@
+"""Config flow for Doubao Speech-to-Text integration."""
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+from typing import Any
+
+import voluptuous as vol
+
+from homeassistant import config_entries
+from homeassistant.core import HomeAssistant, callback
+from homeassistant.data_entry_flow import FlowResult
+from homeassistant.exceptions import HomeAssistantError
+
+from .const import (
+    DOMAIN,
+    CONF_CREDENTIAL_PATH,
+    CONF_ENABLE_PUNCTUATION,
+    DEFAULT_CREDENTIAL_PATH,
+    DEFAULT_ENABLE_PUNCTUATION,
+)
+
+_LOGGER = logging.getLogger(__name__)
+
+
+async def validate_input(hass: HomeAssistant, data: dict[str, Any]) -> dict[str, Any]:
+    """Validate the user input allows us to connect.
+    
+    Data has the keys from STEP_USER_DATA_SCHEMA with values provided by the user.
+    """
+    from .doubaoime_asr import ASRConfig, DoubaoASR, ASRError
+    
+    credential_path = data.get(CONF_CREDENTIAL_PATH, DEFAULT_CREDENTIAL_PATH)
+    enable_punctuation = data.get(CONF_ENABLE_PUNCTUATION, DEFAULT_ENABLE_PUNCTUATION)
+    
+    # 将相对路径转换为 Home Assistant 配置目录下的绝对路径
+    if not Path(credential_path).is_absolute():
+        credential_path = hass.config.path(credential_path)
+    
+    # 尝试初始化配置并验证凭据
+    try:
+        config = ASRConfig(
+            credential_path=credential_path,
+            enable_punctuation=enable_punctuation,
+        )
+        # 确保凭据已初始化（会自动注册设备如果需要）
+        await config.async_ensure_credentials()
+        
+        # 简单验证：检查是否成功获取了 device_id 和 token
+        if not config.device_id or not config.token:
+            raise CannotConnect("无法获取设备凭据")
+            
+    except ASRError as err:
+        _LOGGER.error("验证 Doubao STT 配置失败: %s", err)
+        raise CannotConnect(str(err)) from err
+    except Exception as err:
+        _LOGGER.exception("验证 Doubao STT 配置时发生未知错误")
+        raise CannotConnect(str(err)) from err
+    
+    # 返回用户可读的标题信息
+    return {
+        "title": "Doubao STT",
+        "credential_path": credential_path,
+    }
+
+
+class ConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
+    """Handle a config flow for Doubao Speech-to-Text."""
+
+    VERSION = 1
+
+    async def async_step_user(
+        self, user_input: dict[str, Any] | None = None
+    ) -> FlowResult:
+        """Handle the initial step."""
+        errors: dict[str, str] = {}
+        
+        if user_input is not None:
+            try:
+                info = await validate_input(self.hass, user_input)
+            except CannotConnect:
+                errors["base"] = "cannot_connect"
+            except Exception:  # pylint: disable=broad-except
+                _LOGGER.exception("Unexpected exception")
+                errors["base"] = "unknown"
+            else:
+                return self.async_create_entry(
+                    title=info["title"],
+                    data=user_input,
+                )
+
+        # 显示配置表单
+        data_schema = vol.Schema(
+            {
+                vol.Optional(
+                    CONF_CREDENTIAL_PATH,
+                    default=DEFAULT_CREDENTIAL_PATH,
+                ): str,
+                vol.Optional(
+                    CONF_ENABLE_PUNCTUATION,
+                    default=DEFAULT_ENABLE_PUNCTUATION,
+                ): bool,
+            }
+        )
+
+        return self.async_show_form(
+            step_id="user",
+            data_schema=data_schema,
+            errors=errors,
+        )
+
+    @staticmethod
+    @callback
+    def async_get_options_flow(
+        config_entry: config_entries.ConfigEntry,
+    ) -> OptionsFlowHandler:
+        """Get the options flow for this handler."""
+        return OptionsFlowHandler()
+
+
+class OptionsFlowHandler(config_entries.OptionsFlow):
+    """Handle options flow for Doubao STT."""
+
+    async def async_step_init(
+        self, user_input: dict[str, Any] | None = None
+    ) -> FlowResult:
+        """Manage the options."""
+        errors: dict[str, str] = {}
+        
+        if user_input is not None:
+            # 验证新的配置
+            try:
+                await validate_input(self.hass, user_input)
+            except CannotConnect:
+                errors["base"] = "cannot_connect"
+            except Exception:  # pylint: disable=broad-except
+                _LOGGER.exception("Unexpected exception")
+                errors["base"] = "unknown"
+            else:
+                return self.async_create_entry(title="", data=user_input)
+
+        # 获取当前配置值
+        current_credential_path = self.config_entry.data.get(
+            CONF_CREDENTIAL_PATH, DEFAULT_CREDENTIAL_PATH
+        )
+        current_enable_punctuation = self.config_entry.data.get(
+            CONF_ENABLE_PUNCTUATION, DEFAULT_ENABLE_PUNCTUATION
+        )
+
+        data_schema = vol.Schema(
+            {
+                vol.Optional(
+                    CONF_CREDENTIAL_PATH,
+                    default=current_credential_path,
+                ): str,
+                vol.Optional(
+                    CONF_ENABLE_PUNCTUATION,
+                    default=current_enable_punctuation,
+                ): bool,
+            }
+        )
+
+        return self.async_show_form(
+            step_id="init",
+            data_schema=data_schema,
+            errors=errors,
+        )
+
+
+class CannotConnect(HomeAssistantError):
+    """Error to indicate we cannot connect."""

custom_components/hass_stt_doubao/const.py

@@ -0,0 +1,26 @@
+"""Constants for the Doubao Speech-to-Text integration."""
+
+from typing import Final
+
+# Integration domain
+DOMAIN: Final = "hass_stt_doubao"
+
+# Configuration keys
+CONF_CREDENTIAL_PATH: Final = "credential_path"
+CONF_ENABLE_PUNCTUATION: Final = "enable_punctuation"
+
+# Default values
+DEFAULT_CREDENTIAL_PATH: Final = "doubao_credentials.json"
+DEFAULT_ENABLE_PUNCTUATION: Final = True
+DEFAULT_SAMPLE_RATE: Final = 16000
+DEFAULT_CHANNELS: Final = 1
+DEFAULT_APP_NAME: Final = "com.android.chrome"
+
+# Supported languages
+SUPPORTED_LANGUAGES: Final = ["zh-CN", "zh"]
+
+# Service names (if needed)
+SERVICE_TRANSCRIBE: Final = "transcribe"
+
+# Event types
+EVENT_DOUBAO_STT_RESULT: Final = f"{DOMAIN}_result"

custom_components/hass_stt_doubao/doubaoime_asr/__init__.py

@@ -0,0 +1,23 @@
+from .asr import (
+    DoubaoASR,
+    ASRResponse,
+    ASRError,
+    ResponseType,
+    AudioChunk,
+    transcribe,
+    transcribe_stream,
+    transcribe_realtime,
+)
+from .config import ASRConfig
+
+__all__ = [
+    "DoubaoASR",
+    "ASRConfig",
+    "ASRResponse",
+    "ASRError",
+    "ResponseType",
+    "AudioChunk",
+    "transcribe",
+    "transcribe_stream",
+    "transcribe_realtime",
+]

custom_components/hass_stt_doubao/doubaoime_asr/asr.proto

@@ -0,0 +1,75 @@
+syntax = "proto3";
+
+package asr;
+
+// ASR WebSocket 请求消息
+// 用于 StartTask, StartSession, FinishSession, TaskRequest 等操作
+message AsrRequest {
+    // 认证 token (从 Settings API 获取的 app_key)
+    string token = 2;
+
+    // 服务名称，固定为 "ASR"
+    string service_name = 3;
+
+    // 方法名称
+    // - "StartTask": 启动任务
+    // - "StartSession": 启动会话
+    // - "FinishSession": 结束会话
+    // - "TaskRequest": 发送音频数据
+    string method_name = 5;
+
+    // JSON 格式的负载数据
+    // - StartSession: 会话配置 (audio_info, enable_punctuation 等)
+    // - TaskRequest: 元数据 {"extra": {}, "timestamp_ms": xxx}
+    string payload = 6;
+
+    // 音频数据 (仅 TaskRequest 使用)
+    bytes audio_data = 7;
+
+    // 请求 ID (UUID)
+    string request_id = 8;
+
+    // 帧状态 (仅 TaskRequest 使用)
+    FrameState frame_state = 9;
+}
+
+// ASR WebSocket 响应消息
+message AsrResponse {
+    // 请求 ID
+    string request_id = 1;
+
+    // 任务 ID
+    string task_id = 2;
+
+    // 服务名称
+    string service_name = 3;
+
+    // 消息类型
+    // - "TaskStarted": 任务已启动
+    // - "SessionStarted": 会话已启动
+    // - "TaskFailed": 任务失败
+    // - "SessionFailed": 会话失败
+    // - "SessionFinished": 会话结束
+    string message_type = 4;
+
+    // 状态码
+    int32 status_code = 5;
+
+    // 状态消息 (如 "OK")
+    string status_message = 6;
+
+    // JSON 格式的识别结果
+    // {"results": [...], "extra": {...}}
+    string result_json = 7;
+
+    // 不知道是干啥的。。。
+    int32 unknown_field_9 = 9;
+}
+
+// 音频帧状态枚举
+enum FrameState {
+    FRAME_STATE_UNSPECIFIED = 0;
+    FRAME_STATE_FIRST = 1;
+    FRAME_STATE_MIDDLE = 3;
+    FRAME_STATE_LAST = 9;
+}

custom_components/hass_stt_doubao/doubaoime_asr/asr.py

@@ -0,0 +1,656 @@
+from __future__ import annotations
+
+import asyncio
+import contextlib
+from dataclasses import dataclass
+from enum import Enum, auto
+import json
+from pathlib import Path
+import ssl
+import time
+from typing import AsyncIterator, Callable, List, Optional, Union
+import uuid
+from pydantic import BaseModel, Field
+import websockets
+from websockets import ClientConnection
+
+from .config import ASRConfig, SessionConfig
+from .audio import AudioEncoder
+from .asr_pb2 import AsrRequest, AsrResponse as AsrResponsePb, FrameState
+
+# PCM 音频数据的类型别名
+AudioChunk = bytes
+
+
+class ResponseType(Enum):
+    """
+    ASR 响应类型
+    """
+    TASK_STARTED = auto()
+    SESSION_STARTED = auto()
+    SESSION_FINISHED = auto()
+    VAD_START = auto()
+    INTERIM_RESULT = auto()
+    FINAL_RESULT = auto()
+    HEARTBEAT = auto()
+    ERROR = auto()
+    UNKNOWN = auto()
+
+
+@dataclass
+class ASRResponse:
+    """
+    ASR 响应
+    """
+    type: ResponseType
+    text: str = ""
+    is_final: bool = False
+    vad_start: bool = False
+    vad_finished: bool = False
+    packet_number: int = -1
+    error_msg: str = ""
+    raw_json: Optional[dict] = None
+
+
+class ASRError(Exception):
+    """
+    ASR 错误
+    """
+    def __init__(self, message: str, response: Optional[ASRResponse] = None) -> None:
+        super().__init__(message)
+        self.response = response
+
+
+class _SessionState(BaseModel):
+    """
+    ASR 会话状态
+    """
+    request_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    final_text: str = ""
+    is_finished: bool = False
+    error: Optional[ASRResponse] = None
+
+
+class DoubaoASR:
+    """
+    豆包输入法 ASR 客户端
+    """
+    def __init__(self, config: Optional[ASRConfig] = None):
+        self.config = config
+        self._encoder = AudioEncoder(self.config)
+        self._ssl_context: Optional[ssl.SSLContext] = None
+    
+    async def __aenter__(self) -> DoubaoASR:
+        return self
+    
+    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+        pass
+
+    async def _ensure_ssl_context(self):
+        """
+        确保 SSL 上下文已创建（在 executor 中运行避免阻塞）
+        """
+        if self._ssl_context is None:
+            loop = asyncio.get_event_loop()
+            self._ssl_context = await loop.run_in_executor(None, ssl.create_default_context)
+
+    async def transcribe(self, audio: Union[str, Path, bytes], *, realtime = False, on_interim: Callable[[str], None] = None) -> str:
+        """
+        非流式语音识别
+
+        :param audio: 音频文件路径或 PCM 字节数据
+        :param on_interim: 可选的中间结果回调
+        :return: 最终识别文本
+        """
+        final_text = ""
+        async for response in self.transcribe_stream(audio, realtime=realtime):
+            if response.type == ResponseType.INTERIM_RESULT and on_interim:
+                on_interim(response.text)
+            elif response.type == ResponseType.FINAL_RESULT:
+                final_text = response.text
+            elif response.type == ResponseType.ERROR:
+                raise ASRError(response.error_msg, response)
+        return final_text
+    
+    async def transcribe_stream(self, audio: Union[str, Path, bytes], *, realtime: bool = False) -> AsyncIterator[ASRResponse]:
+        """
+        流式语音识别（完整音频）
+
+        :param audio: 音频文件路径或 PCM 字节数据
+        :param realtime: 是否按实时速度发送
+        :return: ASR 响应流，包括中间结果和最终结果
+        """
+        if isinstance(audio, (str, Path)):
+            pcm_data = self._encoder.convert_audio_to_pcm(
+                audio, self.config.sample_rate, self.config.channels,
+            )
+        else:
+            pcm_data = audio
+
+        opus_frames = await self._encoder.pcm_to_opus_frames(pcm_data)
+        state = _SessionState()
+
+        # 预创建 SSL 上下文避免阻塞
+        await self._ensure_ssl_context()
+        
+        # 获取 WebSocket URL
+        ws_url = await self.config.get_ws_url()
+
+        try:
+            async with websockets.connect(
+                ws_url,
+                additional_headers=self.config.headers,
+                open_timeout=self.config.connect_timeout,
+                ssl=self._ssl_context,
+            ) as ws:
+                # 初始化会话
+                async for resp in self._initialize_session(ws, state):
+                    yield resp
+
+                # 响应队列
+                response_queue: asyncio.Queue[Optional[ASRResponse]] = asyncio.Queue()
+
+                # 启动发送和接收任务
+                send_task = asyncio.create_task(
+                    self._send_audio(ws, opus_frames, state, realtime)
+                )
+                recv_task = asyncio.create_task(
+                    self._receive_responses(ws, state, response_queue)
+                )
+
+                try:
+                    # 从队列中获取服务器响应
+                    while True:
+                        try:
+                            resp = await asyncio.wait_for(
+                                response_queue.get(),
+                                timeout=self.config.recv_timeout,
+                            )
+                            if resp is None: # 结束标记
+                                break
+
+                            # 心跳包仅用于重置超时，不转发给用户
+                            if resp.type == ResponseType.HEARTBEAT:
+                                continue
+
+                            yield resp
+                            if resp.type == ResponseType.ERROR:
+                                break
+
+                        except asyncio.TimeoutError:
+                            break
+
+                    await send_task
+                finally:
+                    send_task.cancel()
+                    recv_task.cancel()
+                    with contextlib.suppress(asyncio.CancelledError):
+                        await send_task
+                    with contextlib.suppress(asyncio.CancelledError):
+                        await recv_task
+
+        except websockets.exceptions.WebSocketException as e:
+            raise ASRError(f"WebSocket 错误: {e}") from e
+
+    async def transcribe_realtime(
+        self,
+        audio_source: AsyncIterator[AudioChunk],
+    ) -> AsyncIterator[ASRResponse]:
+        """
+        实时流式语音识别（支持麦克风等持续音频源）
+
+        :param audio_source: PCM 音频数据的异步迭代器
+            - 每个 chunk 应为 16-bit PCM 数据
+            - 采样率和声道数应与 config 中配置一致
+            - 迭代器结束时会自动发送 FinishSession
+        :return: ASR 响应流
+        """
+        state = _SessionState()
+
+        # 预创建 SSL 上下文避免阻塞
+        await self._ensure_ssl_context()
+        
+        # 获取 WebSocket URL
+        ws_url = await self.config.get_ws_url()
+
+        try:
+            async with websockets.connect(
+                ws_url,
+                additional_headers=self.config.headers,
+                open_timeout=self.config.connect_timeout,
+                ssl=self._ssl_context,
+            ) as ws:
+                # 初始化会话
+                async for resp in self._initialize_session(ws, state):
+                    yield resp
+
+                # 响应队列
+                response_queue: asyncio.Queue[Optional[ASRResponse]] = asyncio.Queue()
+
+                # 启动发送和接收任务
+                send_task = asyncio.create_task(
+                    self._send_audio_realtime(ws, audio_source, state)
+                )
+                recv_task = asyncio.create_task(
+                    self._receive_responses(ws, state, response_queue)
+                )
+
+                try:
+                    # 实时模式不使用超时，依靠 WebSocket 层检测断开
+                    while True:
+                        resp = await response_queue.get()
+                        if resp is None:
+                            break
+
+                        if resp.type == ResponseType.HEARTBEAT:
+                            continue
+
+                        yield resp
+                        if resp.type == ResponseType.ERROR:
+                            break
+
+                    await send_task
+                finally:
+                    send_task.cancel()
+                    recv_task.cancel()
+                    with contextlib.suppress(asyncio.CancelledError):
+                        await send_task
+                    with contextlib.suppress(asyncio.CancelledError):
+                        await recv_task
+
+        except websockets.exceptions.WebSocketException as e:
+            raise ASRError(f"WebSocket 错误: {e}") from e
+
+    async def _send_audio_realtime(
+        self,
+        ws: ClientConnection,
+        audio_source: AsyncIterator[AudioChunk],
+        state: _SessionState,
+    ):
+        """
+        从异步迭代器读取 PCM 数据并实时发送
+        """
+        # 预先获取编码器，避免在循环中触发阻塞导入
+        encoder = await self._encoder.get_encoder()
+        
+        timestamp_ms = int(time.time() * 1000)
+        frame_index = 0
+        pcm_buffer = b""
+
+        samples_per_frame = (
+            self.config.sample_rate * self.config.frame_duration_ms // 1000
+        )
+        bytes_per_frame = samples_per_frame * 2  # 16-bit
+
+        async for chunk in audio_source:
+            if state.is_finished:
+                break
+
+            pcm_buffer += chunk
+
+            # 当缓冲区有足够数据时，编码并发送
+            while len(pcm_buffer) >= bytes_per_frame:
+                pcm_frame = pcm_buffer[:bytes_per_frame]
+                pcm_buffer = pcm_buffer[bytes_per_frame:]
+
+                # 编码为 Opus
+                opus_frame = encoder.encode(pcm_frame, samples_per_frame)
+
+                # 确定帧状态（实时模式下不知道最后一帧，使用 FIRST/MIDDLE）
+                if frame_index == 0:
+                    frame_state = FrameState.FRAME_STATE_FIRST
+                else:
+                    frame_state = FrameState.FRAME_STATE_MIDDLE
+
+                msg = _build_asr_request(
+                    opus_frame,
+                    state.request_id,
+                    frame_state,
+                    timestamp_ms + frame_index * self.config.frame_duration_ms,
+                )
+                await ws.send(msg)
+                frame_index += 1
+
+        # 迭代器结束，处理剩余数据
+        if pcm_buffer and not state.is_finished:
+            # 补零到完整帧
+            if len(pcm_buffer) < bytes_per_frame:
+                pcm_buffer += b"\x00" * (bytes_per_frame - len(pcm_buffer))
+
+            opus_frame = encoder.encode(pcm_buffer, samples_per_frame)
+
+            msg = _build_asr_request(
+                opus_frame,
+                state.request_id,
+                FrameState.FRAME_STATE_LAST,
+                timestamp_ms + frame_index * self.config.frame_duration_ms,
+            )
+            await ws.send(msg)
+        elif frame_index > 0 and not state.is_finished:
+            # 没有剩余数据，但需要发送一个 LAST 帧标记
+            # 发送一个空的 LAST 帧（静音）
+            silent_frame = b"\x00" * bytes_per_frame
+            opus_frame = encoder.encode(silent_frame, samples_per_frame)
+
+            msg = _build_asr_request(
+                opus_frame,
+                state.request_id,
+                FrameState.FRAME_STATE_LAST,
+                timestamp_ms + frame_index * self.config.frame_duration_ms,
+            )
+            await ws.send(msg)
+
+        # FinishSession
+        if not state.is_finished:
+            token = await self.config.get_token()
+            await ws.send(_build_finish_session(state.request_id, token))
+    
+    async def _initialize_session(self, ws: ClientConnection, state: _SessionState) -> AsyncIterator[ASRResponse]:
+        """
+        初始化 ASR 会话
+        """
+        token = await self.config.get_token()
+
+        # StartTask
+        await ws.send(_build_start_task(state.request_id, token))
+        resp = await ws.recv()
+        parsed = _parse_response(resp)
+        if parsed.type == ResponseType.ERROR:
+            raise ASRError(f'StartTask 失败：{parsed.error_msg}', parsed)
+        yield parsed
+
+        # StartSession
+        session_config = await self.config.get_session_config()
+        await ws.send(
+            _build_start_session(state.request_id, token, session_config)
+        )
+        resp = await ws.recv()
+        parsed = _parse_response(resp)
+        if parsed.type == ResponseType.ERROR:
+            raise ASRError(f'StartSession 失败：{parsed.error_msg}', parsed)
+        yield parsed
+
+    async def _send_audio(
+        self,
+        ws: ClientConnection,
+        opus_frames: List[bytes],
+        state: _SessionState,
+        realtime: bool,
+    ):
+        """
+        发送音频帧
+        """
+        timestamp_ms = int(time.time() * 1000)
+        frame_interval = self.config.frame_duration_ms / 1000.0
+
+        for i, opus_frame in enumerate(opus_frames):
+            if state.is_finished:
+                break
+
+            if i == 0:
+                frame_state = FrameState.FRAME_STATE_FIRST
+            elif i == len(opus_frames) - 1:
+                frame_state = FrameState.FRAME_STATE_LAST
+            else:
+                frame_state = FrameState.FRAME_STATE_MIDDLE
+            
+            msg = _build_asr_request(
+                opus_frame,
+                state.request_id,
+                frame_state,
+                timestamp_ms + i * self.config.frame_duration_ms,
+            )
+            await ws.send(msg)
+
+            if realtime:
+                await asyncio.sleep(frame_interval)
+        
+        # FinishSession
+        token = await self.config.get_token()
+        await ws.send(_build_finish_session(state.request_id, token))
+    
+    async def _receive_responses(
+        self,
+        ws: ClientConnection,
+        state: _SessionState,
+        queue: asyncio.Queue[Optional[ASRResponse]],
+    ):
+        """
+        接受响应并放入队列
+        """
+        try:
+            while not state.is_finished:
+                response = await ws.recv()
+                resp = _parse_response(response)
+
+                if resp.type == ResponseType.ERROR:
+                    state.error = resp
+                    state.is_finished = True
+                    await queue.put(resp)
+                    break
+                elif resp.type == ResponseType.HEARTBEAT:
+                    # 心跳包也放入队列，用于重置超时计时器
+                    await queue.put(resp)
+                elif resp.type == ResponseType.SESSION_FINISHED:
+                    state.is_finished = True
+                    await queue.put(resp)
+                    break
+                elif resp.type == ResponseType.FINAL_RESULT:
+                    state.final_text = resp.text
+                    await queue.put(resp)
+                else:
+                    await queue.put(resp)
+
+        except websockets.exceptions.ConnectionClosed:
+            state.is_finished = True
+        finally:
+            # 结束信号
+            await queue.put(None)
+
+
+    
+def _build_start_task(request_id: str, token: str) -> bytes:
+    """构建 StartTask 消息 pb 数据"""
+    request = AsrRequest()
+    request.token = token
+    request.service_name = "ASR"
+    request.method_name = "StartTask"
+    request.request_id = request_id
+    return request.SerializeToString()
+
+
+def _build_start_session(request_id: str, token: str, config: SessionConfig) -> bytes:
+    """构建 StartSession 消息 pb 数据"""
+    request = AsrRequest()
+    request.token = token
+    request.service_name = "ASR"
+    request.method_name = "StartSession"
+    request.request_id = request_id
+    request.payload = config.model_dump_json()
+    return request.SerializeToString()
+
+
+def _build_finish_session(request_id: str, token: str) -> bytes:
+    """构建 FinishSession 消息 pb 数据"""
+    request = AsrRequest()
+    request.token = token
+    request.service_name = "ASR"
+    request.method_name = "FinishSession"
+    request.request_id = request_id
+    return request.SerializeToString()
+
+
+def _build_asr_request(
+    audio_data: bytes,
+    request_id: str,
+    frame_state: FrameState,
+    timestamp_ms: int,
+) -> bytes:
+    request = AsrRequest()
+    metadata = json.dumps({"extra": {}, "timestamp_ms": timestamp_ms})
+
+    request.service_name = "ASR"
+    request.method_name = "TaskRequest"
+    request.payload = metadata
+    request.audio_data = audio_data
+    request.request_id = request_id
+    request.frame_state = frame_state
+    return request.SerializeToString()
+
+
+
+def _parse_response(data: bytes) -> ASRResponse:
+    """解析 ASR 响应 (使用 protobuf)"""
+    pb = AsrResponsePb()
+    pb.ParseFromString(data)
+
+    message_type = pb.message_type
+    result_json = pb.result_json  # 字段 7: 识别结果 JSON
+    status_message = pb.status_message  # 字段 6: 状态消息
+
+    # 根据 message_type 判断响应类型
+    if message_type == "TaskStarted":
+        return ASRResponse(type=ResponseType.TASK_STARTED)
+
+    if message_type == "SessionStarted":
+        return ASRResponse(type=ResponseType.SESSION_STARTED)
+
+    if message_type == "SessionFinished":
+        return ASRResponse(type=ResponseType.SESSION_FINISHED)
+
+    if message_type in ("TaskFailed", "SessionFailed"):
+        return ASRResponse(type=ResponseType.ERROR, error_msg=status_message)
+
+    # 识别结果在 result_json 字段（字段 7）
+    if not result_json:
+        return ASRResponse(type=ResponseType.UNKNOWN)
+
+    try:
+        json_data = json.loads(result_json)
+    except json.JSONDecodeError:
+        return ASRResponse(type=ResponseType.UNKNOWN)
+
+    results = json_data.get("results")
+    extra = json_data.get("extra", {})
+
+    # 无 results，可能是心跳包
+    if results is None:
+        return ASRResponse(
+            type=ResponseType.HEARTBEAT,
+            packet_number=extra.get("packet_number", -1),
+            raw_json=json_data,
+        )
+
+    # VAD 开始
+    if extra.get("vad_start"):
+        return ASRResponse(type=ResponseType.VAD_START, vad_start=True, raw_json=json_data)
+
+    # 解析识别结果
+    text = ""
+    is_interim = True
+    vad_finished = False
+    nonstream_result = False
+
+    for r in results:
+        if r.get("text"):
+            text = r.get("text")
+        if r.get("is_interim") is False:
+            is_interim = False
+        if r.get("is_vad_finished"):
+            vad_finished = True
+        if r.get("extra", {}).get("nonstream_result"):
+            nonstream_result = True
+
+    # 最终结果
+    if nonstream_result or (not is_interim and vad_finished):
+        return ASRResponse(
+            type=ResponseType.FINAL_RESULT,
+            text=text,
+            is_final=True,
+            vad_finished=vad_finished,
+            raw_json=json_data,
+        )
+
+    # 中间结果
+    return ASRResponse(
+        type=ResponseType.INTERIM_RESULT,
+        text=text,
+        is_final=False,
+        raw_json=json_data,
+    )
+
+
+# =============
+# 便捷函数
+# =============
+
+
+async def transcribe(
+    audio: str | Path | bytes,
+    *,
+    config: ASRConfig | None = None,
+    on_interim: Callable[[str], None] | None = None,
+    realtime: bool = False,
+) -> str:
+    """
+    便捷函数：非流式语音识别
+
+    Args:
+        audio: 音频文件路径或 PCM 字节数据
+        config: ASR 配置（可选）
+        on_interim: 中间结果回调（可选）
+        realtime: 是否模拟实时语音输入
+            - True: 按音频实际时长发送，每帧间插入延迟，模拟实时的语音输入
+            - False（默认）: 尽快发送所有帧，会更快拿到结果（不知道会不会被风控）
+
+    Returns:
+        最终识别文本
+    """
+    async with DoubaoASR(config) as asr:
+        return await asr.transcribe(audio, on_interim=on_interim, realtime=realtime)
+
+
+async def transcribe_stream(
+    audio: str | Path | bytes,
+    *,
+    config: ASRConfig | None = None,
+    realtime: bool = False,
+) -> AsyncIterator[ASRResponse]:
+    """
+    便捷函数：流式语音识别（完整音频）
+
+    Args:
+        audio: 音频文件路径或 PCM 字节数据
+        config: ASR 配置（可选）
+        realtime: 是否模拟实时语音输入
+            - True: 按音频实际时长发送，每帧间插入延迟，模拟实时的语音输入
+            - False（默认）: 尽快发送所有帧，会更快拿到结果（不知道会不会被风控）
+
+    Yields:
+        ASRResponse 对象
+    """
+    async with DoubaoASR(config) as asr:
+        async for resp in asr.transcribe_stream(audio, realtime=realtime):
+            yield resp
+
+
+async def transcribe_realtime(
+    audio_source: AsyncIterator[AudioChunk],
+    *,
+    config: ASRConfig | None = None,
+) -> AsyncIterator[ASRResponse]:
+    """
+    便捷函数：实时流式语音识别（支持麦克风等持续音频源）
+
+    Args:
+        audio_source: PCM 音频数据的异步迭代器
+            - 每个 chunk 应为 16-bit PCM 数据
+            - 采样率和声道数应与 config 中配置一致
+        config: ASR 配置（可选）
+
+    Yields:
+        ASRResponse 对象
+    """
+    async with DoubaoASR(config) as asr:
+        async for resp in asr.transcribe_realtime(audio_source):
+            yield resp

custom_components/hass_stt_doubao/doubaoime_asr/asr_pb2.py

@@ -0,0 +1,40 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# NO CHECKED-IN PROTOBUF GENCODE
+# source: asr.proto
+# Protobuf Python Version: 6.31.1
+"""Generated protocol buffer code."""
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import runtime_version as _runtime_version
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+_runtime_version.ValidateProtobufRuntimeVersion(
+    _runtime_version.Domain.PUBLIC,
+    6,
+    31,
+    1,
+    '',
+    'asr.proto'
+)
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\tasr.proto\x12\x03\x61sr\"\xa5\x01\n\nAsrRequest\x12\r\n\x05token\x18\x02 \x01(\t\x12\x14\n\x0cservice_name\x18\x03 \x01(\t\x12\x13\n\x0bmethod_name\x18\x05 \x01(\t\x12\x0f\n\x07payload\x18\x06 \x01(\t\x12\x12\n\naudio_data\x18\x07 \x01(\x0c\x12\x12\n\nrequest_id\x18\x08 \x01(\t\x12$\n\x0b\x66rame_state\x18\t \x01(\x0e\x32\x0f.asr.FrameState\"\xb9\x01\n\x0b\x41srResponse\x12\x12\n\nrequest_id\x18\x01 \x01(\t\x12\x0f\n\x07task_id\x18\x02 \x01(\t\x12\x14\n\x0cservice_name\x18\x03 \x01(\t\x12\x14\n\x0cmessage_type\x18\x04 \x01(\t\x12\x13\n\x0bstatus_code\x18\x05 \x01(\x05\x12\x16\n\x0estatus_message\x18\x06 \x01(\t\x12\x13\n\x0bresult_json\x18\x07 \x01(\t\x12\x17\n\x0funknown_field_9\x18\t \x01(\x05*n\n\nFrameState\x12\x1b\n\x17\x46RAME_STATE_UNSPECIFIED\x10\x00\x12\x15\n\x11\x46RAME_STATE_FIRST\x10\x01\x12\x16\n\x12\x46RAME_STATE_MIDDLE\x10\x03\x12\x14\n\x10\x46RAME_STATE_LAST\x10\tb\x06proto3')
+
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'asr_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  DESCRIPTOR._loaded_options = None
+  _globals['_FRAMESTATE']._serialized_start=374
+  _globals['_FRAMESTATE']._serialized_end=484
+  _globals['_ASRREQUEST']._serialized_start=19
+  _globals['_ASRREQUEST']._serialized_end=184
+  _globals['_ASRRESPONSE']._serialized_start=187
+  _globals['_ASRRESPONSE']._serialized_end=372
+# @@protoc_insertion_point(module_scope)

custom_components/hass_stt_doubao/doubaoime_asr/asr_pb2.pyi

@@ -0,0 +1,55 @@
+from google.protobuf.internal import enum_type_wrapper as _enum_type_wrapper
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from typing import ClassVar as _ClassVar, Optional as _Optional, Union as _Union
+
+DESCRIPTOR: _descriptor.FileDescriptor
+
+class FrameState(int, metaclass=_enum_type_wrapper.EnumTypeWrapper):
+    __slots__ = ()
+    FRAME_STATE_UNSPECIFIED: _ClassVar[FrameState]
+    FRAME_STATE_FIRST: _ClassVar[FrameState]
+    FRAME_STATE_MIDDLE: _ClassVar[FrameState]
+    FRAME_STATE_LAST: _ClassVar[FrameState]
+FRAME_STATE_UNSPECIFIED: FrameState
+FRAME_STATE_FIRST: FrameState
+FRAME_STATE_MIDDLE: FrameState
+FRAME_STATE_LAST: FrameState
+
+class AsrRequest(_message.Message):
+    __slots__ = ("token", "service_name", "method_name", "payload", "audio_data", "request_id", "frame_state")
+    TOKEN_FIELD_NUMBER: _ClassVar[int]
+    SERVICE_NAME_FIELD_NUMBER: _ClassVar[int]
+    METHOD_NAME_FIELD_NUMBER: _ClassVar[int]
+    PAYLOAD_FIELD_NUMBER: _ClassVar[int]
+    AUDIO_DATA_FIELD_NUMBER: _ClassVar[int]
+    REQUEST_ID_FIELD_NUMBER: _ClassVar[int]
+    FRAME_STATE_FIELD_NUMBER: _ClassVar[int]
+    token: str
+    service_name: str
+    method_name: str
+    payload: str
+    audio_data: bytes
+    request_id: str
+    frame_state: FrameState
+    def __init__(self, token: _Optional[str] = ..., service_name: _Optional[str] = ..., method_name: _Optional[str] = ..., payload: _Optional[str] = ..., audio_data: _Optional[bytes] = ..., request_id: _Optional[str] = ..., frame_state: _Optional[_Union[FrameState, str]] = ...) -> None: ...
+
+class AsrResponse(_message.Message):
+    __slots__ = ("request_id", "task_id", "service_name", "message_type", "status_code", "status_message", "result_json", "unknown_field_9")
+    REQUEST_ID_FIELD_NUMBER: _ClassVar[int]
+    TASK_ID_FIELD_NUMBER: _ClassVar[int]
+    SERVICE_NAME_FIELD_NUMBER: _ClassVar[int]
+    MESSAGE_TYPE_FIELD_NUMBER: _ClassVar[int]
+    STATUS_CODE_FIELD_NUMBER: _ClassVar[int]
+    STATUS_MESSAGE_FIELD_NUMBER: _ClassVar[int]
+    RESULT_JSON_FIELD_NUMBER: _ClassVar[int]
+    UNKNOWN_FIELD_9_FIELD_NUMBER: _ClassVar[int]
+    request_id: str
+    task_id: str
+    service_name: str
+    message_type: str
+    status_code: int
+    status_message: str
+    result_json: str
+    unknown_field_9: int
+    def __init__(self, request_id: _Optional[str] = ..., task_id: _Optional[str] = ..., service_name: _Optional[str] = ..., message_type: _Optional[str] = ..., status_code: _Optional[int] = ..., status_message: _Optional[str] = ..., result_json: _Optional[str] = ..., unknown_field_9: _Optional[int] = ...) -> None: ...

custom_components/hass_stt_doubao/doubaoime_asr/audio.py

@@ -0,0 +1,77 @@
+from typing import Optional, List, Union, TYPE_CHECKING
+from pathlib import Path
+import asyncio
+
+import miniaudio
+
+from .config import ASRConfig
+
+if TYPE_CHECKING:
+    import opuslib
+
+
+class AudioEncoder:
+    """
+    进行音频格式转换
+    """
+    def __init__(self, config: ASRConfig) -> None:
+        self.config = config
+        self._encoder: Optional["opuslib.Encoder"] = None
+        self._opuslib_module = None
+    
+    async def _ensure_opuslib(self):
+        """在 executor 中导入 opuslib，避免阻塞事件循环"""
+        if self._opuslib_module is None:
+            loop = asyncio.get_event_loop()
+            self._opuslib_module = await loop.run_in_executor(None, self._import_opuslib)
+    
+    @staticmethod
+    def _import_opuslib():
+        """在独立线程中导入 opuslib"""
+        import opuslib
+        return opuslib
+    
+    async def get_encoder(self) -> "opuslib.Encoder":
+        """异步获取编码器"""
+        if self._encoder is None:
+            await self._ensure_opuslib()
+            self._encoder = self._opuslib_module.Encoder(
+                self.config.sample_rate,
+                self.config.channels,
+                self._opuslib_module.APPLICATION_AUDIO,
+            )
+        return self._encoder
+    
+    async def pcm_to_opus_frames(self, pcm_data: bytes) -> List[bytes]:
+        """将 PCM 数据转换为 Opus 帧（异步）"""
+        encoder = await self.get_encoder()
+        
+        samples_per_frame = (
+            self.config.sample_rate * self.config.frame_duration_ms // 1000
+        )
+        bytes_per_frame = samples_per_frame * 2 # 16-bit
+
+        frames = []
+        for i in range(0, len(pcm_data), bytes_per_frame):
+            chunk = pcm_data[i : i + bytes_per_frame]
+            if len(chunk) < bytes_per_frame:
+                chunk = chunk + b"\x00" * (bytes_per_frame - len(chunk))
+            
+            opus_frame = encoder.encode(chunk, samples_per_frame)
+            frames.append(opus_frame)
+        
+        return frames
+    
+    @staticmethod
+    def convert_audio_to_pcm(
+        audio_path: Union[Path, str],
+        sample_rate: int = 16000,
+        channels: int = 1,
+    ) -> bytes:
+        decoded = miniaudio.decode_file(
+            str(audio_path),
+            output_format=miniaudio.SampleFormat.SIGNED16,
+            nchannels=channels,
+            sample_rate=sample_rate,
+        )
+        return decoded.samples.tobytes()

custom_components/hass_stt_doubao/doubaoime_asr/config.py

@@ -0,0 +1,231 @@
+from dataclasses import dataclass, field
+import asyncio
+import json
+from pathlib import Path
+from typing import Optional, Union
+from pydantic import BaseModel
+import aiofiles
+
+from .constants import WEBSOCKET_URL, USER_AGENT, AID
+from .device import DeviceCredentials, register_device, get_asr_token
+
+
+class _AudioInfo(BaseModel):
+    channel: int
+    format: str
+    sample_rate: int
+
+
+class _SessionExtraConfig(BaseModel):
+    app_name: str
+    cell_compress_rate: int
+    did: str
+    enable_asr_threepass: bool
+    enable_asr_twopass: bool
+    input_mode: str
+
+
+class SessionConfig(BaseModel):
+    """
+    ASR 任务开始前需要初始化 Session 的配置
+    """
+    audio_info: _AudioInfo
+    enable_punctuation: bool
+    enable_speech_rejection: bool
+    extra: _SessionExtraConfig
+
+
+@dataclass
+class ASRConfig:
+    """
+    ASR 配置
+
+    如果不提供 device_id 和 token，将自动注册设备并获取 token。
+
+    示例:
+        # 自动获取凭据（首次使用时会注册设备，不持久化）
+        config = ASRConfig()
+
+        # 使用已有凭据
+        config = ASRConfig(device_id="1234567890123456", token="MyToken123")
+
+        # 使用凭据文件（推荐，首次注册后自动缓存）
+        config = ASRConfig(credential_path="~/.config/doubao-asr/credentials.json")
+
+        # 凭据文件 + 覆盖部分参数
+        config = ASRConfig(
+            credential_path="~/.config/doubao-asr/credentials.json",
+            token="NewToken",  # 覆盖文件中的 token
+        )
+    """
+    url: str = WEBSOCKET_URL
+    aid: str = AID
+    user_agent: str = USER_AGENT
+
+    device_id: Optional[str] = None # 空则自动获取
+    token: Optional[str] = None     # 空则自动获取
+    credential_path: Union[str, Path, None] = None
+    """
+    凭据文件路径
+    """
+
+    # 这些都是客户端给的默认值，挺通用的。其实我也没尝试过改了服务器会不会认
+    # 音频配置
+    sample_rate: int = 16000
+    channels: int = 1
+    frame_duration_ms: int = 20
+
+    # 会话配置
+    enable_punctuation: bool = True
+    enable_speech_rejection: bool = False
+    enable_asr_twopass: bool = True
+    enable_asr_threepass: bool = True
+    # 这里是输入法当前作用在哪个应用上
+    # 可能服务器会根据当前所使用的程序调整不同的语音识别策略？？
+    # 这里用 Chrome 浏览器，算是比较通用的了吧？
+    app_name: str = "com.android.chrome"
+
+    # 连接配置
+    connect_timeout: float = 10.0
+    recv_timeout: float = 10.0
+
+    # 内部状态
+    _credentials: Optional[DeviceCredentials] = field(default=None, repr=None)
+    _initialized: bool = field(default=False, repr=False)
+
+    async def _load_credentials_from_file(self) -> Optional[DeviceCredentials]:
+        """
+        从缓存文件中加载凭据信息（异步）
+        """
+        if self.credential_path is None:
+            return None
+
+        path = Path(self.credential_path).expanduser()
+        if not path.exists():
+            return None
+        
+        try:
+            async with aiofiles.open(path, 'r', encoding='utf-8') as f:
+                content = await f.read()
+                data = json.loads(content)
+                return DeviceCredentials(**data)
+
+        except (json.JSONDecodeError, OSError):
+            return None
+    
+    async def _save_credentials_to_file(self, creds: DeviceCredentials):
+        """
+        保存凭据至缓存文件（异步）
+        """
+        if self.credential_path is None:
+            return
+        
+        path = Path(self.credential_path).expanduser()
+        
+        # 使用 run_in_executor 来执行同步的 mkdir 操作
+        loop = asyncio.get_event_loop()
+        await loop.run_in_executor(None, lambda: path.parent.mkdir(parents=True, exist_ok=True))
+
+        async with aiofiles.open(path, 'w', encoding='utf-8') as f:
+            content = json.dumps(creds.model_dump(), indent=2, ensure_ascii=False)
+            await f.write(content)
+    
+    async def async_ensure_credentials(self):
+        """
+        确保凭据已初始化（异步）
+
+        优先级：
+        1. 直接传入的 device_id/token 参数（最高优先级）
+        2. credential_path 文件中的值
+        3. 自动注册获取（最低优先级）
+
+        如果指定了 credential_path 且文件不存在，会注册设备并保存到文件。
+        """
+        if self._initialized:
+            return
+        
+        # 保存直接通过参数传入的凭据，用于进行覆盖
+        user_device_id = self.device_id
+        user_token = self.token
+
+        # 尝试从文件中加载凭据
+        file_creds = await self._load_credentials_from_file()
+        if file_creds:
+            self._credentials = file_creds
+            # 使用文件中的值作为默认
+            if self.device_id is None:
+                self.device_id = file_creds.device_id
+            if self.token is None:
+                self.token = file_creds.token
+        
+        # 如果 device_id 仍为 None, 则注册设备
+        need_save = False
+        if self.device_id is None:
+            # 在 executor 中运行同步的 register_device
+            loop = asyncio.get_event_loop()
+            self._credentials = await loop.run_in_executor(None, register_device)
+            self.device_id = self._credentials.device_id
+            need_save = True
+        
+        # 如果 token 仍为 None, 则获取 token
+        if self.token is None:
+            cdid = self._credentials.cdid if self._credentials else None
+            # 在 executor 中运行同步的 get_asr_token
+            loop = asyncio.get_event_loop()
+            self.token = await loop.run_in_executor(None, get_asr_token, self.device_id, cdid)
+        
+        # 如果指定了 credential_path 且有新注册的凭据，则保存至文件
+        if self.credential_path and need_save and self._credentials:
+            self._credentials.token = self.token
+            await self._save_credentials_to_file(self._credentials)
+        
+        # 覆盖用户传入的参数
+        if user_device_id is not None:
+            self.device_id = user_device_id
+        
+        if user_token is not None:
+            self.token = user_token
+
+        self._initialized = True
+    
+    async def get_ws_url(self) -> str:
+        """获取 WebSocket URL（异步）"""
+        await self.async_ensure_credentials()
+        return f'{self.url}?aid={self.aid}&device_id={self.device_id}'
+    
+    @property
+    def headers(self) -> dict[str, str]:
+        return {
+            "User-Agent": self.user_agent,
+            "proto-version": "v2",
+            "x-custom-keepalive": "true"
+        }
+
+    async def get_session_config(self) -> SessionConfig:
+        """获取会话配置（异步）"""
+        await self.async_ensure_credentials()
+        audio_info = _AudioInfo(
+            channel=self.channels,
+            format="speech_opus",
+            sample_rate=self.sample_rate,
+        )
+        extra = _SessionExtraConfig(
+            app_name=self.app_name,
+            cell_compress_rate=8,
+            did=self.device_id,
+            enable_asr_threepass=self.enable_asr_threepass,
+            enable_asr_twopass=self.enable_asr_twopass,
+            input_mode="tool",
+        )
+
+        return SessionConfig(
+            audio_info=audio_info,
+            enable_punctuation=self.enable_punctuation,
+            enable_speech_rejection=self.enable_speech_rejection,
+            extra=extra,
+        )
+    
+    async def get_token(self) -> str:
+        """获取 token（异步）"""
+        await self.async_ensure_credentials()
+        return self.token

custom_components/hass_stt_doubao/doubaoime_asr/constants.py

@@ -0,0 +1,43 @@
+# 设备注册 API URL
+REGISTER_URL = "https://log.snssdk.com/service/2/device_register/"
+
+# Settings API URL (获取 Token)
+SETTINGS_URL = "https://is.snssdk.com/service/settings/v3/"
+
+# ASR WebSocket URL
+WEBSOCKET_URL = "wss://frontier-audio-ime-ws.doubao.com/ocean/api/v1/ws"
+
+# 豆包输入法的 APP ID
+AID = 401734
+
+# 应用配置 (豆包输入法)
+APP_CONFIG = {
+    "aid": AID,
+    "app_name": "oime",
+    "version_code": 100102018,
+    "version_name": "1.1.2",
+    "manifest_version_code": 100102018,
+    "update_version_code": 100102018,
+    "channel": "official",
+    "package": "com.bytedance.android.doubaoime",
+}
+
+# 默认设备配置 (模拟 Pixel 7 Pro)
+DEFAULT_DEVICE_CONFIG = {
+    "device_platform": "android",
+    "os": "android",
+    "os_api": "34",
+    "os_version": "16",
+    "device_type": "Pixel 7 Pro",
+    "device_brand": "google",
+    "device_model": "Pixel 7 Pro",
+    "resolution": "1080*2400",
+    "dpi": "420",
+    "language": "zh",
+    "timezone": 8,
+    "access": "wifi",
+    "rom": "UP1A.231005.007",
+    "rom_version": "UP1A.231005.007",
+}
+
+USER_AGENT = "com.bytedance.android.doubaoime/100102018 (Linux; U; Android 16; en_US; Pixel 7 Pro; Build/BP2A.250605.031.A2; Cronet/TTNetVersion:94cf429a 2025-11-17 QuicVersion:1f89f732 2025-05-08)"

custom_components/hass_stt_doubao/doubaoime_asr/device.py

@@ -0,0 +1,321 @@
+"""
+设备初始化相关
+
+需要先根据客户端配置在豆包服务器注册设备，获取 device_id, install_id, token 等信息
+"""
+import hashlib
+from pydantic import BaseModel, ConfigDict, Field
+from typing import Optional
+
+import secrets
+import requests
+import time
+import uuid
+
+from .constants import APP_CONFIG, DEFAULT_DEVICE_CONFIG, USER_AGENT, REGISTER_URL, SETTINGS_URL
+
+
+class DeviceCredentials(BaseModel):
+    """
+    设备凭据，用于缓存设备信息
+    主要是 `device_id` 和 `token`. 其他貌似不影响
+    """
+    device_id: Optional[str] = None
+    install_id: Optional[str] = None
+    cdid: Optional[str] = None
+    openudid: Optional[str] = None
+    clientudid: Optional[str] = None
+    token: Optional[str] = ""
+    """
+    用于 ASR 的 token
+    """
+
+
+class DeviceRegisterHeaderField(BaseModel):
+    """
+    设备注册接口用到的请求体 header 字段
+    """
+    # 设备标识（注册时为 0，注册后更新）
+    device_id: int = 0
+    install_id: int = 0
+
+    # 应用配置
+    aid: int
+    """app id，固定值"""
+    app_name: str
+    version_code: int
+    version_name: str
+    manifest_version_code: int
+    update_version_code: int
+    channel: str
+    package: str
+
+    # 设备平台信息
+    device_platform: str
+    os: str
+    os_api: str
+    os_version: str
+    device_type: str
+    device_brand: str
+    device_model: str
+    resolution: str
+    dpi: str
+    language: str
+    timezone: int
+    access: str
+    rom: str
+    rom_version: str
+
+    # 设备唯一标识
+    openudid: str
+    clientudid: str
+    cdid: str
+
+    # 地区与时区
+    region: str = "CN"
+    tz_name: str = "Asia/Shanghai"
+    tz_offset: int = 28800
+    sim_region: str = "cn"
+    carrier_region: str = "cn"
+
+    # 其他设备信息
+    cpu_abi: str = "arm64-v8a"
+    build_serial: str = "unknown"
+    not_request_sender: int = 0
+    sig_hash: str = ""
+    google_aid: str = ""
+    mc: str = ""
+    serial_number: str = ""
+
+    @classmethod
+    def default(cls, cdid: Optional[str] = None, openudid: Optional[str] = None, clientudid: Optional[str] = None) -> "DeviceRegisterHeaderField":
+        """
+        使用默认配置构建设备注册 Header
+        """
+
+        return cls(
+            **APP_CONFIG,
+            **DEFAULT_DEVICE_CONFIG,
+            cdid=cdid or _generate_cdid(),
+            openudid=openudid or _generate_openudid(),
+            clientudid=clientudid or _generate_clientudid(),
+        )
+
+
+class DeviceRegisterBody(BaseModel):
+    """
+    设备注册接口用到的完整的请求体
+    """
+    model_config = ConfigDict(populate_by_name=True, serialize_by_alias=True)
+
+    magic_tag: str = "ss_app_log"
+    header: DeviceRegisterHeaderField
+    gen_time: int = Field(default_factory=lambda: int(time.time() * 1000), serialization_alias="_gen_time") 
+
+    @classmethod
+    def new(cls, header: DeviceRegisterHeaderField):
+        return cls(header=header)
+
+
+class DeviceRegisterParams(BaseModel):
+    """
+    设备注册接口的 URL Params
+    """
+    model_config = ConfigDict(populate_by_name=True, serialize_by_alias=True)
+
+    device_platform: str
+    os: str
+    ssmix: str = "a"
+    rticket: int = Field(default_factory=lambda: int(time.time() * 1000), serialization_alias="_rticket")
+    cdid: str
+
+    # 应用配置
+    channel: str
+    aid: str
+    app_name: str
+    version_code: str
+    version_name: str
+    manifest_version_code: str
+    update_version_code: str
+
+    # 设备信息
+    resolution: str
+    dpi: str
+    device_type: str
+    device_brand: str
+    language: str
+    os_api: str
+    os_version: str
+    ac: str = "wifi"
+
+    @classmethod
+    def default(cls, cdid: str) -> "DeviceRegisterParams":
+        """
+        使用默认配置构建 URL Params
+        """
+
+        app_config = {
+            **{k: APP_CONFIG[k] for k in ("channel", "app_name", "version_name")},
+            "aid": str(APP_CONFIG["aid"]),
+            "version_code": str(APP_CONFIG["version_code"]),
+            "manifest_version_code": str(APP_CONFIG["manifest_version_code"]),
+            "update_version_code": str(APP_CONFIG["update_version_code"]),
+        }
+        
+        device_keys = ("device_platform", "os", "resolution", "dpi", "device_type",
+                       "device_brand", "language", "os_api", "os_version")
+        device_config = {k: DEFAULT_DEVICE_CONFIG[k] for k in device_keys}
+
+        return cls(cdid=cdid, **app_config, **device_config)
+
+
+class DeviceRegisterResponse(BaseModel):
+    server_time: int
+    device_id: int
+    install_id: int
+    new_user: Optional[int] = None
+    device_id_str: Optional[str] = None
+    install_id_str: Optional[str] = None
+    ssid: Optional[str] = None
+    device_token: Optional[str] = None
+
+
+class SettingsParams(BaseModel):
+    """
+    Settings API 的 URL Params（用于获取 ASR token）
+    """
+    model_config = ConfigDict(populate_by_name=True, serialize_by_alias=True)
+
+    device_platform: str = "android"
+    os: str = "android"
+    ssmix: str = "a"
+    rticket: str = Field(default_factory=lambda: str(int(time.time() * 1000)), serialization_alias="_rticket")
+    cdid: str
+    channel: str
+    aid: str
+    app_name: str
+    version_code: str
+    version_name: str
+    device_id: str
+
+    @classmethod
+    def default(cls, device_id: str, cdid: str) -> "SettingsParams":
+        """
+        使用默认配置构建 Settings Params
+        """
+        return cls(
+            cdid=cdid,
+            device_id=device_id,
+            channel=APP_CONFIG["channel"],
+            aid=str(APP_CONFIG["aid"]),
+            app_name=APP_CONFIG["app_name"],
+            version_code=str(APP_CONFIG["version_code"]),
+            version_name=APP_CONFIG["version_name"],
+        )
+
+
+class _AsrConfig(BaseModel):
+    """ASR 配置"""
+    app_key: str
+
+
+class _Settings(BaseModel):
+    """Settings 配置"""
+    asr_config: _AsrConfig
+
+
+class _SettingsData(BaseModel):
+    """Settings 数据"""
+    settings: _Settings
+
+
+class SettingsResponse(BaseModel):
+    """Settings API 响应"""
+    data: _SettingsData
+    message: str
+
+    @property
+    def app_key(self) -> str:
+        """获取 ASR app_key (token)"""
+        return self.data.settings.asr_config.app_key
+        
+
+def _generate_openudid() -> str:
+    return secrets.token_hex(8)
+
+
+def _generate_cdid() -> str:
+    return str(uuid.uuid4())
+
+
+def _generate_clientudid() -> str:
+    return str(uuid.uuid4())
+
+
+def register_device() -> DeviceCredentials:
+    """
+    首次使用，注册设备获取 device_id
+    """
+    cdid = _generate_cdid()
+    openudid = _generate_openudid()
+    clientudid = _generate_clientudid()
+
+    header = DeviceRegisterHeaderField.default(cdid=cdid, openudid=openudid, clientudid=clientudid)
+    body = DeviceRegisterBody.new(header)
+    params = DeviceRegisterParams.default(cdid)
+
+    headers = {
+        "User-Agent": USER_AGENT,
+    }
+
+    response = requests.post(
+        REGISTER_URL,
+        params=params.model_dump(),
+        json=body.model_dump(),
+        headers=headers,
+        verify=False,  # 禁用SSL证书验证以兼容某些环境
+    )
+
+    response.raise_for_status()
+    response_json = response.json()
+    response_data = DeviceRegisterResponse(**response_json)
+
+    if response_data.device_id and response_data.device_id != 0:
+        return DeviceCredentials(
+            device_id=str(response_data.device_id),
+            install_id=str(response_data.install_id),
+            cdid=cdid,
+            openudid=openudid,
+            clientudid=clientudid,
+        )
+
+
+def get_asr_token(device_id: str, cdid: str) -> str:
+    """
+    获取 ASR 请求所需的 token
+    """
+    if cdid is None:
+        cdid = _generate_cdid()
+
+    params = SettingsParams.default(device_id, cdid)
+    body_str = "body=null"
+    x_ss_stub = hashlib.md5(body_str.encode()).hexdigest().upper()
+
+    headers = {
+        "User-Agent": USER_AGENT,
+        "x-ss-stub": x_ss_stub,
+    }
+
+    response = requests.post(
+        SETTINGS_URL,
+        params=params,
+        data=body_str,
+        headers=headers,
+        verify=False,  # 禁用SSL证书验证以兼容某些环境
+    )
+    
+    response.raise_for_status()
+    response_json = response.json()
+    response_data = SettingsResponse(**response_json)
+
+    return response_data.app_key

custom_components/hass_stt_doubao/manifest.json

@@ -0,0 +1,18 @@
+{
+  "domain": "hass_stt_doubao",
+  "name": "Doubao Speech to Text",
+  "version": "1.0.0",
+  "documentation": "https://github.com/yourusername/hass_stt_doubao",
+  "issue_tracker": "https://github.com/yourusername/hass_stt_doubao/issues",
+  "dependencies": [],
+  "codeowners": ["@xyzmos"],
+  "requirements": [
+    "miniaudio>=1.61",
+    "opuslib>=3.0.1",
+    "protobuf>=3.20.0",
+    "pydantic>=2.0.0",
+    "websockets>=12.0"
+  ],
+  "config_flow": true,
+  "iot_class": "cloud_polling"
+}

custom_components/hass_stt_doubao/requirements.txt

@@ -0,0 +1,6 @@
+aiofiles>=23.0.0
+miniaudio>=1.61
+opuslib>=3.0.1
+protobuf>=3.20.0
+pydantic>=2.0.0
+websockets>=12.0

custom_components/hass_stt_doubao/strings.json

@@ -0,0 +1,33 @@
+{
+  "config": {
+    "step": {
+      "user": {
+        "title": "配置 Doubao 语音识别",
+        "description": "设置 Doubao STT 集成",
+        "data": {
+          "credential_path": "凭据文件路径",
+          "enable_punctuation": "启用标点符号"
+        }
+      }
+    },
+    "error": {
+      "cannot_connect": "无法连接到 Doubao 服务，请检查网络连接或凭据配置",
+      "unknown": "发生未知错误"
+    },
+    "abort": {
+      "already_configured": "该设备已经配置过了"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Doubao STT 选项",
+        "description": "修改 Doubao STT 配置选项",
+        "data": {
+          "credential_path": "凭据文件路径",
+          "enable_punctuation": "启用标点符号"
+        }
+      }
+    }
+  }
+}

custom_components/hass_stt_doubao/stt.py

@@ -0,0 +1,162 @@
+"""Support for Doubao Speech-to-Text service."""
+from __future__ import annotations
+
+import asyncio
+import logging
+from typing import AsyncIterable
+
+from homeassistant.components.stt import (
+    AudioBitRates,
+    AudioChannels,
+    AudioCodecs,
+    AudioFormats,
+    AudioSampleRates,
+    SpeechMetadata,
+    SpeechResult,
+    SpeechResultState,
+    SpeechToTextEntity,
+)
+from homeassistant.config_entries import ConfigEntry
+from homeassistant.core import HomeAssistant
+from homeassistant.helpers.entity_platform import AddEntitiesCallback
+
+from .const import (
+    DOMAIN,
+    CONF_CREDENTIAL_PATH,
+    CONF_ENABLE_PUNCTUATION,
+    SUPPORTED_LANGUAGES,
+)
+from .doubaoime_asr import ASRConfig, ASRError, DoubaoASR, ResponseType
+
+_LOGGER = logging.getLogger(__name__)
+
+
+async def async_setup_entry(
+    hass: HomeAssistant,
+    config_entry: ConfigEntry,
+    async_add_entities: AddEntitiesCallback,
+) -> None:
+    """Set up Doubao STT from a config entry."""
+    config_data = hass.data[DOMAIN][config_entry.entry_id]
+    
+    async_add_entities(
+        [DoubaoSTTEntity(config_entry, config_data)],
+        True,
+    )
+
+
+class DoubaoSTTEntity(SpeechToTextEntity):
+    """Doubao Speech-to-Text entity."""
+
+    def __init__(
+        self,
+        config_entry: ConfigEntry,
+        config_data: dict,
+    ) -> None:
+        """Initialize Doubao STT entity."""
+        self._config_entry = config_entry
+        self._credential_path = config_data[CONF_CREDENTIAL_PATH]
+        self._enable_punctuation = config_data[CONF_ENABLE_PUNCTUATION]
+        self._attr_name = "Doubao STT"
+        self._attr_unique_id = f"{config_entry.entry_id}_stt"
+
+    @property
+    def supported_languages(self) -> list[str]:
+        """Return a list of supported languages."""
+        return SUPPORTED_LANGUAGES
+
+    @property
+    def supported_formats(self) -> list[AudioFormats]:
+        """Return a list of supported formats."""
+        return [AudioFormats.WAV]
+
+    @property
+    def supported_codecs(self) -> list[AudioCodecs]:
+        """Return a list of supported codecs."""
+        return [AudioCodecs.PCM]
+
+    @property
+    def supported_bit_rates(self) -> list[AudioBitRates]:
+        """Return a list of supported bit rates."""
+        return [AudioBitRates.BITRATE_16]
+
+    @property
+    def supported_sample_rates(self) -> list[AudioSampleRates]:
+        """Return a list of supported sample rates."""
+        return [AudioSampleRates.SAMPLERATE_16000]
+
+    @property
+    def supported_channels(self) -> list[AudioChannels]:
+        """Return a list of supported channels."""
+        return [AudioChannels.CHANNEL_MONO]
+
+    async def async_process_audio_stream(
+        self, metadata: SpeechMetadata, stream: AsyncIterable[bytes]
+    ) -> SpeechResult:
+        """Process an audio stream to STT service.
+        
+        Args:
+            metadata: Metadata about the audio stream
+            stream: Async iterable of audio chunks (PCM 16-bit, 16kHz, mono)
+            
+        Returns:
+            SpeechResult with the transcribed text
+        """
+        _LOGGER.debug(
+            "开始处理音频流: language=%s, format=%s, codec=%s, sample_rate=%s",
+            metadata.language,
+            metadata.format,
+            metadata.codec,
+            metadata.sample_rate,
+        )
+        
+        # 创建 ASR 配置
+        config = ASRConfig(
+            credential_path=self._credential_path,
+            enable_punctuation=self._enable_punctuation,
+            sample_rate=16000,  # HA 固定使用 16kHz
+            channels=1,  # HA 固定使用单声道
+        )
+        
+        try:
+            # 使用 DoubaoASR 进行实时识别
+            final_text = ""
+            async with DoubaoASR(config) as asr:
+                async for response in asr.transcribe_realtime(stream):
+                    if response.type == ResponseType.FINAL_RESULT:
+                        final_text = response.text
+                        _LOGGER.debug("收到最终识别结果: %s", final_text)
+                    elif response.type == ResponseType.INTERIM_RESULT:
+                        _LOGGER.debug("收到中间识别结果: %s", response.text)
+                    elif response.type == ResponseType.ERROR:
+                        _LOGGER.error("识别过程出错: %s", response.error_msg)
+                        return SpeechResult(
+                            text=None,
+                            result=SpeechResultState.ERROR,
+                        )
+            
+            if not final_text:
+                _LOGGER.warning("识别完成但未获得最终结果")
+                return SpeechResult(
+                    text=None,
+                    result=SpeechResultState.ERROR,
+                )
+            
+            _LOGGER.info("语音识别成功: %s", final_text)
+            return SpeechResult(
+                text=final_text,
+                result=SpeechResultState.SUCCESS,
+            )
+            
+        except ASRError as err:
+            _LOGGER.error("Doubao ASR 识别失败: %s", err)
+            return SpeechResult(
+                text=None,
+                result=SpeechResultState.ERROR,
+            )
+        except Exception as err:  # pylint: disable=broad-except
+            _LOGGER.exception("处理音频流时发生未知错误")
+            return SpeechResult(
+                text=None,
+                result=SpeechResultState.ERROR,
+            )

custom_components/hass_stt_doubao/translations/zh.json

@@ -0,0 +1,33 @@
+{
+  "config": {
+    "step": {
+      "user": {
+        "title": "配置 Doubao 语音识别",
+        "description": "设置 Doubao STT 集成",
+        "data": {
+          "credential_path": "凭据文件路径",
+          "enable_punctuation": "启用标点符号"
+        }
+      }
+    },
+    "error": {
+      "cannot_connect": "无法连接到 Doubao 服务，请检查网络连接或凭据配置",
+      "unknown": "发生未知错误"
+    },
+    "abort": {
+      "already_configured": "该设备已经配置过了"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Doubao STT 选项",
+        "description": "修改 Doubao STT 配置选项",
+        "data": {
+          "credential_path": "凭据文件路径",
+          "enable_punctuation": "启用标点符号"
+        }
+      }
+    }
+  }
+}

hacs.json

@@ -0,0 +1,6 @@
+{
+  "name": "Doubao Speech to Text",
+  "render_readme": true,
+  "domains": ["stt"],
+  "country": ["CN"]
+}