feat: add unified WebSocket connection manager and routing

- Implemented UnifiedWebSocketManager for managing WebSocket connections, including subscription handling and message sending.
- Created unified WebSocket router to handle client messages, including authentication, subscription, and chat session management.
- Added support for logging and plugin progress subscriptions.
- Enhanced error handling and response structure for WebSocket operations.

src/chat/emoji_system/emoji_manager.py

@@ -1,25 +1,28 @@
 from datetime import datetime
 from pathlib import Path
-from typing import Dict, List, Optional, Tuple
-
-from rich.traceback import install
-from sqlmodel import select
+from typing import Any, Dict, List, Optional, Tuple
 
 import asyncio
 import hashlib
 import heapq
-import Levenshtein
 import random
 import re
 
-from src.common.logger import get_logger
+from rich.traceback import install
+from sqlmodel import select
+
+import Levenshtein
+
 from src.common.data_models.image_data_model import MaiEmoji
-from src.common.database.database_model import Images, ImageType
-from src.common.database.database import get_db_session, get_db_session_manual
-from src.common.utils.utils_image import ImageUtils
-from src.prompt.prompt_manager import prompt_manager
-from src.config.config import config_manager, global_config
 from src.common.data_models.llm_service_data_models import LLMGenerationOptions, LLMImageOptions
+from src.common.database.database import get_db_session, get_db_session_manual
+from src.common.database.database_model import Images, ImageType
+from src.common.logger import get_logger
+from src.common.utils.utils_image import ImageUtils
+from src.config.config import config_manager, global_config
+from src.plugin_runtime.hook_schema_utils import build_object_schema
+from src.plugin_runtime.host.hook_spec_registry import HookSpec, HookSpecRegistry
+from src.prompt.prompt_manager import prompt_manager
 from src.services.llm_service import LLMServiceClient
 
 logger = get_logger("emoji")
@@ -33,6 +36,171 @@ EMOJI_REGISTERED_DIR = DATA_DIR / "emoji_registered"  # 已注册的表情包注
 MAX_EMOJI_FOR_PROMPT = 20  # 最大允许的表情包描述数量于图片替换的 prompt 中
 
 
+def register_emoji_hook_specs(registry: HookSpecRegistry) -> List[HookSpec]:
+    """注册表情包系统内置 Hook 规格。
+
+    Args:
+        registry: 目标 Hook 规格注册中心。
+
+    Returns:
+        List[HookSpec]: 实际注册的 Hook 规格列表。
+    """
+
+    emoji_schema = {
+        "type": "object",
+        "description": "当前表情包的序列化信息，主要包含 file_hash、description、emotions 等字段。",
+    }
+    string_array_schema = {
+        "type": "array",
+        "items": {"type": "string"},
+    }
+    return registry.register_hook_specs(
+        [
+            HookSpec(
+                name="emoji.maisaka.before_select",
+                description="Maisaka 表情发送工具选择表情前触发，可改写情绪、上下文和采样参数，或中止本次选择。",
+                parameters_schema=build_object_schema(
+                    {
+                        "stream_id": {"type": "string", "description": "目标会话 ID。"},
+                        "requested_emotion": {"type": "string", "description": "请求的目标情绪标签。"},
+                        "reasoning": {"type": "string", "description": "本次发送表情的推理理由。"},
+                        "context_texts": {
+                            **string_array_schema,
+                            "description": "最近聊天上下文文本列表。",
+                        },
+                        "sample_size": {"type": "integer", "description": "候选表情采样数量。"},
+                        "abort_message": {
+                            "type": "string",
+                            "description": "当 Hook 主动中止时可附带的失败提示。",
+                        },
+                    },
+                    required=["stream_id", "requested_emotion", "reasoning", "context_texts", "sample_size"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="emoji.maisaka.after_select",
+                description="Maisaka 已选出表情后触发，可替换选中的表情哈希、补充匹配情绪，或中止发送。",
+                parameters_schema=build_object_schema(
+                    {
+                        "stream_id": {"type": "string", "description": "目标会话 ID。"},
+                        "requested_emotion": {"type": "string", "description": "请求的目标情绪标签。"},
+                        "reasoning": {"type": "string", "description": "本次发送表情的推理理由。"},
+                        "context_texts": {
+                            **string_array_schema,
+                            "description": "最近聊天上下文文本列表。",
+                        },
+                        "sample_size": {"type": "integer", "description": "候选表情采样数量。"},
+                        "selected_emoji": emoji_schema,
+                        "selected_emoji_hash": {"type": "string", "description": "选中的表情哈希。"},
+                        "matched_emotion": {"type": "string", "description": "最终命中的情绪标签。"},
+                        "abort_message": {
+                            "type": "string",
+                            "description": "当 Hook 主动中止时可附带的失败提示。",
+                        },
+                    },
+                    required=[
+                        "stream_id",
+                        "requested_emotion",
+                        "reasoning",
+                        "context_texts",
+                        "sample_size",
+                        "matched_emotion",
+                    ],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="emoji.register.after_build_description",
+                description="表情包描述生成并通过内容审查后触发，可改写描述文本或拒绝本次注册。",
+                parameters_schema=build_object_schema(
+                    {
+                        "emoji": emoji_schema,
+                        "description": {"type": "string", "description": "当前生成出的表情包描述。"},
+                        "image_format": {"type": "string", "description": "表情图片格式。"},
+                    },
+                    required=["emoji", "description", "image_format"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="emoji.register.after_build_emotion",
+                description="表情包情绪标签生成完成后触发，可改写标签列表或拒绝本次注册。",
+                parameters_schema=build_object_schema(
+                    {
+                        "emoji": emoji_schema,
+                        "description": {"type": "string", "description": "当前表情包描述。"},
+                        "emotions": {
+                            **string_array_schema,
+                            "description": "当前生成出的情绪标签列表。",
+                        },
+                    },
+                    required=["emoji", "description", "emotions"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+        ]
+    )
+
+
+def _get_runtime_manager() -> Any:
+    """获取插件运行时管理器。
+
+    Returns:
+        Any: 插件运行时管理器单例。
+    """
+
+    from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+    return get_plugin_runtime_manager()
+
+
+def _serialize_emoji_for_hook(emoji: Optional[MaiEmoji]) -> Optional[Dict[str, Any]]:
+    """将表情包对象序列化为 Hook 可传输载荷。
+
+    Args:
+        emoji: 待序列化的表情包对象。
+
+    Returns:
+        Optional[Dict[str, Any]]: 序列化后的字典；当表情为空时返回 ``None``。
+    """
+
+    if emoji is None:
+        return None
+
+    return {
+        "file_hash": str(emoji.file_hash or "").strip(),
+        "file_name": emoji.file_name,
+        "full_path": str(emoji.full_path),
+        "description": emoji.description,
+        "emotions": [str(item).strip() for item in emoji.emotion if str(item).strip()],
+        "query_count": int(emoji.query_count),
+    }
+
+
+def _normalize_string_list(raw_values: Any) -> List[str]:
+    """将任意列表值规范化为字符串列表。
+
+    Args:
+        raw_values: 待规范化的原始值。
+
+    Returns:
+        List[str]: 去空白后的字符串列表。
+    """
+
+    if not isinstance(raw_values, list):
+        return []
+    return [str(item).strip() for item in raw_values if str(item).strip()]
+
+
 def _ensure_directories() -> None:
     """确保表情包相关目录存在"""
     EMOJI_DIR.mkdir(parents=True, exist_ok=True)
@@ -642,6 +810,22 @@ class EmojiManager:
             if "否" in llm_response:
                 logger.warning(f"[表情包审查] 表情包内容不符合要求，拒绝注册: {target_emoji.file_name}")
                 return False, target_emoji
+        hook_result = await _get_runtime_manager().invoke_hook(
+            "emoji.register.after_build_description",
+            emoji=_serialize_emoji_for_hook(target_emoji),
+            description=description,
+            image_format=image_format,
+        )
+        if hook_result.aborted:
+            logger.info(f"[构建描述] 表情包描述被 Hook 中止注册: {target_emoji.file_name}")
+            return False, target_emoji
+
+        normalized_description = str(hook_result.kwargs.get("description", description) or "").strip()
+        if not normalized_description:
+            logger.warning(f"[构建描述] Hook 返回空描述，拒绝注册: {target_emoji.file_name}")
+            return False, target_emoji
+
+        description = normalized_description
         target_emoji.description = description
         logger.info(f"[构建描述] 成功为表情包构建描述: {target_emoji.description}")
         return True, target_emoji
@@ -687,6 +871,23 @@ class EmojiManager:
         elif len(emotions) > 2:
             emotions = random.sample(emotions, 2)
 
+        hook_result = await _get_runtime_manager().invoke_hook(
+            "emoji.register.after_build_emotion",
+            emoji=_serialize_emoji_for_hook(target_emoji),
+            description=target_emoji.description,
+            emotions=list(emotions),
+        )
+        if hook_result.aborted:
+            logger.info(f"[构建情感标签] 表情包情感标签被 Hook 中止注册: {target_emoji.file_name}")
+            return False, target_emoji
+
+        raw_emotions = hook_result.kwargs.get("emotions")
+        if raw_emotions is not None:
+            emotions = _normalize_string_list(raw_emotions)
+            if not emotions:
+                logger.warning(f"[构建情感标签] Hook 返回空情绪标签，拒绝注册: {target_emoji.file_name}")
+                return False, target_emoji
+
         logger.info(f"[构建情感标签] 成功为表情包构建情感标签: {','.join(emotions)}")
         target_emoji.emotion = emotions
         return True, target_emoji

src/chat/emoji_system/maisaka_tool.py

@@ -1,7 +1,7 @@
 """Maisaka 表情工具内置能力。"""
 
 from dataclasses import dataclass, field
-from typing import Sequence
+from typing import Any, Optional, Sequence
 
 import random
 
@@ -11,7 +11,7 @@ from src.common.logger import get_logger
 from src.common.utils.utils_image import ImageUtils
 from src.services import send_service
 
-from .emoji_manager import emoji_manager, emoji_manager_emotion_judge_llm
+from .emoji_manager import _serialize_emoji_for_hook, emoji_manager, emoji_manager_emotion_judge_llm
 
 logger = get_logger("emoji_maisaka_tool")
 
@@ -29,6 +29,76 @@ class MaisakaEmojiSendResult:
     matched_emotion: str = ""
 
 
+def _get_runtime_manager() -> Any:
+    """获取插件运行时管理器。
+
+    Returns:
+        Any: 插件运行时管理器单例。
+    """
+
+    from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+    return get_plugin_runtime_manager()
+
+
+def _coerce_positive_int(value: Any, default: int) -> int:
+    """将任意值安全转换为正整数。
+
+    Args:
+        value: 待转换的值。
+        default: 转换失败时使用的默认值。
+
+    Returns:
+        int: 规范化后的正整数。
+    """
+
+    try:
+        normalized_value = int(value)
+    except (TypeError, ValueError):
+        return default
+    return normalized_value if normalized_value > 0 else default
+
+
+def _normalize_context_texts(context_texts: Sequence[str] | None) -> list[str]:
+    """清洗 Hook 和调用链传入的上下文文本列表。
+
+    Args:
+        context_texts: 原始上下文文本序列。
+
+    Returns:
+        list[str]: 过滤空白后的上下文文本列表。
+    """
+
+    if not context_texts:
+        return []
+    return [str(item).strip() for item in context_texts if str(item).strip()]
+
+
+def _resolve_selected_emoji(raw_value: Any) -> Optional[MaiEmoji]:
+    """根据 Hook 返回值解析目标表情包对象。
+
+    Args:
+        raw_value: Hook 返回的 ``selected_emoji`` 或 ``selected_emoji_hash``。
+
+    Returns:
+        Optional[MaiEmoji]: 命中的表情包对象；未命中时返回 ``None``。
+    """
+
+    raw_hash: str = ""
+    if isinstance(raw_value, dict):
+        raw_hash = str(raw_value.get("file_hash") or raw_value.get("hash") or "").strip()
+    elif isinstance(raw_value, str):
+        raw_hash = raw_value.strip()
+
+    if not raw_hash:
+        return None
+
+    for emoji in emoji_manager.emojis:
+        if emoji.file_hash == raw_hash:
+            return emoji
+    return None
+
+
 def _normalize_emotions(emoji: MaiEmoji) -> list[str]:
     """提取并清洗单个表情的情绪标签。"""
 
@@ -129,16 +199,81 @@ async def send_emoji_for_maisaka(
 ) -> MaisakaEmojiSendResult:
     """为 Maisaka 选择并发送一个表情。"""
 
-    selected_emoji, matched_emotion = await select_emoji_for_maisaka(
-        requested_emotion=requested_emotion,
-        reasoning=reasoning,
-        context_texts=context_texts,
+    normalized_requested_emotion = requested_emotion.strip()
+    normalized_reasoning = reasoning.strip()
+    normalized_context_texts = _normalize_context_texts(context_texts)
+    sample_size = 30
+
+    before_select_result = await _get_runtime_manager().invoke_hook(
+        "emoji.maisaka.before_select",
+        stream_id=stream_id,
+        requested_emotion=normalized_requested_emotion,
+        reasoning=normalized_reasoning,
+        context_texts=list(normalized_context_texts),
+        sample_size=sample_size,
+        abort_message="表情选择已被 Hook 中止。",
     )
+    if before_select_result.aborted:
+        abort_message = str(before_select_result.kwargs.get("abort_message") or "表情选择已被 Hook 中止。").strip()
+        return MaisakaEmojiSendResult(
+            success=False,
+            message=abort_message or "表情选择已被 Hook 中止。",
+            requested_emotion=normalized_requested_emotion,
+        )
+
+    before_select_kwargs = before_select_result.kwargs
+    normalized_requested_emotion = str(
+        before_select_kwargs.get("requested_emotion", normalized_requested_emotion) or ""
+    ).strip()
+    normalized_reasoning = str(before_select_kwargs.get("reasoning", normalized_reasoning) or "").strip()
+    if isinstance(before_select_kwargs.get("context_texts"), list):
+        normalized_context_texts = _normalize_context_texts(before_select_kwargs.get("context_texts"))
+    sample_size = _coerce_positive_int(before_select_kwargs.get("sample_size"), sample_size)
+
+    selected_emoji, matched_emotion = await select_emoji_for_maisaka(
+        requested_emotion=normalized_requested_emotion,
+        reasoning=normalized_reasoning,
+        context_texts=normalized_context_texts,
+        sample_size=sample_size,
+    )
+    after_select_result = await _get_runtime_manager().invoke_hook(
+        "emoji.maisaka.after_select",
+        stream_id=stream_id,
+        requested_emotion=normalized_requested_emotion,
+        reasoning=normalized_reasoning,
+        context_texts=list(normalized_context_texts),
+        sample_size=sample_size,
+        selected_emoji=_serialize_emoji_for_hook(selected_emoji),
+        selected_emoji_hash=str(selected_emoji.file_hash or "").strip() if selected_emoji is not None else "",
+        matched_emotion=matched_emotion,
+        abort_message="表情发送已被 Hook 中止。",
+    )
+    if after_select_result.aborted:
+        abort_message = str(after_select_result.kwargs.get("abort_message") or "表情发送已被 Hook 中止。").strip()
+        return MaisakaEmojiSendResult(
+            success=False,
+            message=abort_message or "表情发送已被 Hook 中止。",
+            requested_emotion=normalized_requested_emotion,
+            matched_emotion=matched_emotion,
+        )
+
+    after_select_kwargs = after_select_result.kwargs
+    normalized_requested_emotion = str(
+        after_select_kwargs.get("requested_emotion", normalized_requested_emotion) or ""
+    ).strip()
+    matched_emotion = str(after_select_kwargs.get("matched_emotion", matched_emotion) or "").strip()
+    override_emoji = _resolve_selected_emoji(after_select_kwargs.get("selected_emoji_hash"))
+    if override_emoji is None:
+        override_emoji = _resolve_selected_emoji(after_select_kwargs.get("selected_emoji"))
+    if override_emoji is not None:
+        selected_emoji = override_emoji
+
     if selected_emoji is None:
         return MaisakaEmojiSendResult(
             success=False,
             message="当前表情包库中没有可用表情。",
-            requested_emotion=requested_emotion.strip(),
+            requested_emotion=normalized_requested_emotion,
+            matched_emotion=matched_emotion,
         )
 
     try:
@@ -151,7 +286,7 @@ async def send_emoji_for_maisaka(
             message=f"发送表情包失败：{exc}",
             description=selected_emoji.description.strip(),
             emotions=_normalize_emotions(selected_emoji),
-            requested_emotion=requested_emotion.strip(),
+            requested_emotion=normalized_requested_emotion,
             matched_emotion=matched_emotion,
         )
 
@@ -169,7 +304,7 @@ async def send_emoji_for_maisaka(
             message=f"发送表情包时发生异常：{exc}",
             description=selected_emoji.description.strip(),
             emotions=_normalize_emotions(selected_emoji),
-            requested_emotion=requested_emotion.strip(),
+            requested_emotion=normalized_requested_emotion,
             matched_emotion=matched_emotion,
         )
 
@@ -181,7 +316,7 @@ async def send_emoji_for_maisaka(
             message="发送表情包失败。",
             description=description,
             emotions=emotions,
-            requested_emotion=requested_emotion.strip(),
+            requested_emotion=normalized_requested_emotion,
             matched_emotion=matched_emotion,
         )
 
@@ -197,6 +332,6 @@ async def send_emoji_for_maisaka(
         emoji_base64=emoji_base64,
         description=description,
         emotions=emotions,
-        requested_emotion=requested_emotion.strip(),
+        requested_emotion=normalized_requested_emotion,
         matched_emotion=matched_emotion,
     )

src/chat/message_receive/uni_message_sender.py

@@ -18,28 +18,29 @@ install(extra_lines=3)
 logger = get_logger("sender")
 
 # WebUI 聊天室的消息广播器（延迟导入避免循环依赖）
-_webui_chat_broadcaster: Optional[Tuple[Any, Optional[str]]] = None
+_webui_chat_broadcaster: Optional[Tuple[Any, Optional[str], Optional[str]]] = None
 
 # 虚拟群 ID 前缀（与 chat_routes.py 保持一致）
 VIRTUAL_GROUP_ID_PREFIX = "webui_virtual_group_"
 
 
 # TODO: 重构完成后完成webui相关
-def get_webui_chat_broadcaster() -> Tuple[Any, Optional[str]]:
+def get_webui_chat_broadcaster() -> Tuple[Any, Optional[str], Optional[str]]:
     """获取 WebUI 聊天室广播器。
 
     Returns:
-        Tuple[Any, Optional[str]]: ``(chat_manager, platform_name)`` 二元组；
+        Tuple[Any, Optional[str], Optional[str]]: ``(chat_manager, platform_name, default_group_id)`` 三元组；
         若 WebUI 相关模块不可用，则元素会退化为 ``None``。
     """
     global _webui_chat_broadcaster
     if _webui_chat_broadcaster is None:
         try:
             from src.webui.routers.chat import WEBUI_CHAT_PLATFORM, chat_manager
+            from src.webui.routers.chat.service import WEBUI_CHAT_GROUP_ID
 
-            _webui_chat_broadcaster = (chat_manager, WEBUI_CHAT_PLATFORM)
+            _webui_chat_broadcaster = (chat_manager, WEBUI_CHAT_PLATFORM, WEBUI_CHAT_GROUP_ID)
         except ImportError:
-            _webui_chat_broadcaster = (None, None)
+            _webui_chat_broadcaster = (None, None, None)
     return _webui_chat_broadcaster
 
 
@@ -76,7 +77,7 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
 
     try:
         # 检查是否是 WebUI 平台的消息，或者是 WebUI 虚拟群的消息
-        chat_manager, webui_platform = get_webui_chat_broadcaster()
+        chat_manager, webui_platform, default_group_id = get_webui_chat_broadcaster()
         is_webui_message = (platform == webui_platform) or is_webui_virtual_group(group_id)
 
         if is_webui_message and chat_manager is not None:
@@ -97,8 +98,9 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
                 message_type = "rich"
                 segments = message_segments
 
-            await chat_manager.broadcast(
-                {
+            await chat_manager.broadcast_to_group(
+                group_id=group_id or default_group_id or "",
+                message={
                     "type": "bot_message",
                     "content": message.processed_plain_text,
                     "message_type": message_type,
@@ -110,7 +112,7 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
                         "avatar": None,
                         "is_bot": True,
                     },
-                }
+                },
             )
 
             # 注意：机器人消息会由 MessageStorage.store_message 自动保存到数据库

src/learners/expression_learner.py

@@ -1,22 +1,25 @@
 from datetime import datetime
-from sqlmodel import select
-from typing import TYPE_CHECKING, List, Optional, Tuple
+from typing import TYPE_CHECKING, Any, List, Optional, Tuple
 
 import asyncio
 import difflib
 import json
 import re
 
-from src.common.data_models.llm_service_data_models import LLMGenerationOptions
-from src.services.llm_service import LLMServiceClient
-from src.config.config import global_config
-from src.prompt.prompt_manager import prompt_manager
-from src.common.logger import get_logger
-from src.common.database.database_model import Expression
-from src.common.database.database import get_db_session
-from src.common.data_models.expression_data_model import MaiExpression
+from sqlmodel import select
+
 from src.chat.utils.utils import is_bot_self
+from src.common.data_models.expression_data_model import MaiExpression
+from src.common.data_models.llm_service_data_models import LLMGenerationOptions
+from src.common.database.database import get_db_session
+from src.common.database.database_model import Expression
+from src.common.logger import get_logger
 from src.common.utils.utils_message import MessageUtils
+from src.config.config import global_config
+from src.plugin_runtime.hook_schema_utils import build_object_schema
+from src.plugin_runtime.host.hook_spec_registry import HookSpec, HookSpecRegistry
+from src.prompt.prompt_manager import prompt_manager
+from src.services.llm_service import LLMServiceClient
 
 from .expression_utils import check_expression_suitability, parse_expression_response
 
@@ -34,8 +37,122 @@ summary_model = LLMServiceClient(task_name="utils", request_type="expression.sum
 check_model = LLMServiceClient(task_name="utils", request_type="expression.check")
 
 
+def register_expression_hook_specs(registry: HookSpecRegistry) -> List[HookSpec]:
+    """注册表达方式系统内置 Hook 规格。
+
+    Args:
+        registry: 目标 Hook 规格注册中心。
+
+    Returns:
+        List[HookSpec]: 实际注册的 Hook 规格列表。
+    """
+
+    return registry.register_hook_specs(
+        [
+            HookSpec(
+                name="expression.select.before_select",
+                description="表达方式选择流程开始前触发，可改写会话上下文、选择参数或中止本次选择。",
+                parameters_schema=build_object_schema(
+                    {
+                        "chat_id": {"type": "string", "description": "当前聊天流 ID。"},
+                        "chat_info": {"type": "string", "description": "用于选择表达方式的聊天上下文。"},
+                        "max_num": {"type": "integer", "description": "最大可选表达方式数量。"},
+                        "target_message": {"type": "string", "description": "当前目标回复消息文本。"},
+                        "reply_reason": {"type": "string", "description": "规划器给出的回复理由。"},
+                        "think_level": {"type": "integer", "description": "表达方式选择思考级别。"},
+                    },
+                    required=["chat_id", "chat_info", "max_num", "think_level"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="expression.select.after_selection",
+                description="表达方式选择完成后触发，可改写最终选中的表达方式列表与 ID。",
+                parameters_schema=build_object_schema(
+                    {
+                        "chat_id": {"type": "string", "description": "当前聊天流 ID。"},
+                        "chat_info": {"type": "string", "description": "用于选择表达方式的聊天上下文。"},
+                        "max_num": {"type": "integer", "description": "最大可选表达方式数量。"},
+                        "target_message": {"type": "string", "description": "当前目标回复消息文本。"},
+                        "reply_reason": {"type": "string", "description": "规划器给出的回复理由。"},
+                        "think_level": {"type": "integer", "description": "表达方式选择思考级别。"},
+                        "selected_expressions": {
+                            "type": "array",
+                            "items": {"type": "object"},
+                            "description": "当前已选中的表达方式列表。",
+                        },
+                        "selected_expression_ids": {
+                            "type": "array",
+                            "items": {"type": "integer"},
+                            "description": "当前已选中的表达方式 ID 列表。",
+                        },
+                    },
+                    required=[
+                        "chat_id",
+                        "chat_info",
+                        "max_num",
+                        "think_level",
+                        "selected_expressions",
+                        "selected_expression_ids",
+                    ],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="expression.learn.after_extract",
+                description="表达方式学习解析出表达/黑话候选后触发，可改写候选集或直接终止本轮学习。",
+                parameters_schema=build_object_schema(
+                    {
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "message_count": {"type": "integer", "description": "本轮参与学习的消息数量。"},
+                        "expressions": {
+                            "type": "array",
+                            "items": {"type": "object"},
+                            "description": "解析出的表达方式候选列表。",
+                        },
+                        "jargon_entries": {
+                            "type": "array",
+                            "items": {"type": "object"},
+                            "description": "解析出的黑话候选列表。",
+                        },
+                    },
+                    required=["session_id", "message_count", "expressions", "jargon_entries"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="expression.learn.before_upsert",
+                description="表达方式写入数据库前触发，可改写情景/风格文本或跳过本条写入。",
+                parameters_schema=build_object_schema(
+                    {
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "situation": {"type": "string", "description": "即将写入的情景文本。"},
+                        "style": {"type": "string", "description": "即将写入的风格文本。"},
+                    },
+                    required=["session_id", "situation", "style"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+        ]
+    )
+
+
 class ExpressionLearner:
     def __init__(self, session_id: str) -> None:
+        """初始化表达方式学习器。
+
+        Args:
+            session_id: 当前会话 ID。
+        """
+
         self.session_id = session_id
 
         # 学习锁，防止并发执行学习任务
@@ -44,6 +161,110 @@ class ExpressionLearner:
         # 消息缓存
         self._messages_cache: List["SessionMessage"] = []
 
+    @staticmethod
+    def _get_runtime_manager() -> Any:
+        """获取插件运行时管理器。
+
+        Returns:
+            Any: 插件运行时管理器单例。
+        """
+
+        from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+        return get_plugin_runtime_manager()
+
+    @staticmethod
+    def _serialize_expressions(expressions: List[Tuple[str, str, str]]) -> List[dict[str, str]]:
+        """将表达方式候选序列化为 Hook 载荷。
+
+        Args:
+            expressions: 原始表达方式候选列表。
+
+        Returns:
+            List[dict[str, str]]: 序列化后的表达方式候选。
+        """
+
+        return [
+            {
+                "situation": str(situation).strip(),
+                "style": str(style).strip(),
+                "source_id": str(source_id).strip(),
+            }
+            for situation, style, source_id in expressions
+            if str(situation).strip() and str(style).strip()
+        ]
+
+    @staticmethod
+    def _deserialize_expressions(raw_expressions: Any) -> List[Tuple[str, str, str]]:
+        """从 Hook 载荷恢复表达方式候选列表。
+
+        Args:
+            raw_expressions: Hook 返回的表达方式候选。
+
+        Returns:
+            List[Tuple[str, str, str]]: 恢复后的表达方式候选列表。
+        """
+
+        if not isinstance(raw_expressions, list):
+            return []
+
+        normalized_expressions: List[Tuple[str, str, str]] = []
+        for raw_expression in raw_expressions:
+            if not isinstance(raw_expression, dict):
+                continue
+            situation = str(raw_expression.get("situation") or "").strip()
+            style = str(raw_expression.get("style") or "").strip()
+            source_id = str(raw_expression.get("source_id") or "").strip()
+            if not situation or not style:
+                continue
+            normalized_expressions.append((situation, style, source_id))
+        return normalized_expressions
+
+    @staticmethod
+    def _serialize_jargon_entries(jargon_entries: List[Tuple[str, str]]) -> List[dict[str, str]]:
+        """将黑话候选序列化为 Hook 载荷。
+
+        Args:
+            jargon_entries: 原始黑话候选列表。
+
+        Returns:
+            List[dict[str, str]]: 序列化后的黑话候选列表。
+        """
+
+        return [
+            {
+                "content": str(content).strip(),
+                "source_id": str(source_id).strip(),
+            }
+            for content, source_id in jargon_entries
+            if str(content).strip()
+        ]
+
+    @staticmethod
+    def _deserialize_jargon_entries(raw_jargon_entries: Any) -> List[Tuple[str, str]]:
+        """从 Hook 载荷恢复黑话候选列表。
+
+        Args:
+            raw_jargon_entries: Hook 返回的黑话候选列表。
+
+        Returns:
+            List[Tuple[str, str]]: 恢复后的黑话候选列表。
+        """
+
+        if not isinstance(raw_jargon_entries, list):
+            return []
+
+        normalized_entries: List[Tuple[str, str]] = []
+        for raw_entry in raw_jargon_entries:
+            if not isinstance(raw_entry, dict):
+                continue
+            content = str(raw_entry.get("content") or "").strip()
+            source_id = str(raw_entry.get("source_id") or "").strip()
+            if not content:
+                continue
+            normalized_entries.append((content, source_id))
+        return normalized_entries
+
     def add_messages(self, messages: List["SessionMessage"]) -> None:
         """添加消息到缓存"""
         self._messages_cache.extend(messages)
@@ -52,8 +273,12 @@ class ExpressionLearner:
         """获取当前消息缓存的大小"""
         return len(self._messages_cache)
 
-    async def learn(self, jargon_miner: Optional["JargonMiner"] = None):
-        """学习主流程"""
+    async def learn(self, jargon_miner: Optional["JargonMiner"] = None) -> None:
+        """执行表达方式学习主流程。
+
+        Args:
+            jargon_miner: 可选的黑话学习器实例，用于同步处理黑话候选。
+        """
         if not self._messages_cache:
             logger.debug("没有消息可供学习，跳过学习过程")
             return
@@ -109,6 +334,25 @@ class ExpressionLearner:
             logger.info(f"黑话提取数量超过 30 个（实际{len(jargon_entries)}个），放弃本次黑话学习")
             jargon_entries = []
 
+        after_extract_result = await self._get_runtime_manager().invoke_hook(
+            "expression.learn.after_extract",
+            session_id=self.session_id,
+            message_count=len(self._messages_cache),
+            expressions=self._serialize_expressions(expressions),
+            jargon_entries=self._serialize_jargon_entries(jargon_entries),
+        )
+        if after_extract_result.aborted:
+            logger.info(f"{self.session_id} 的表达方式学习结果被 Hook 中止")
+            return
+
+        after_extract_kwargs = after_extract_result.kwargs
+        raw_expressions = after_extract_kwargs.get("expressions")
+        if raw_expressions is not None:
+            expressions = self._deserialize_expressions(raw_expressions)
+        raw_jargon_entries = after_extract_kwargs.get("jargon_entries")
+        if raw_jargon_entries is not None:
+            jargon_entries = self._deserialize_jargon_entries(raw_jargon_entries)
+
         # 处理黑话条目，路由到 jargon_miner（即使没有表达方式也要处理黑话）
         # TODO: 检测是否开启了
         if jargon_entries:
@@ -135,6 +379,22 @@ class ExpressionLearner:
 
         # 存储到数据库 Expression 表
         for situation, style in learnt_expressions:
+            before_upsert_result = await self._get_runtime_manager().invoke_hook(
+                "expression.learn.before_upsert",
+                session_id=self.session_id,
+                situation=situation,
+                style=style,
+            )
+            if before_upsert_result.aborted:
+                logger.info(f"{self.session_id} 的表达方式写入被 Hook 跳过: situation={situation!r}")
+                continue
+
+            upsert_kwargs = before_upsert_result.kwargs
+            situation = str(upsert_kwargs.get("situation", situation) or "").strip()
+            style = str(upsert_kwargs.get("style", style) or "").strip()
+            if not situation or not style:
+                logger.info(f"{self.session_id} 的表达方式写入被 Hook 清空，已跳过")
+                continue
             await self._upsert_expression_to_db(situation, style)
 
     # ====== 黑话相关 ======

src/learners/expression_selector.py

@@ -1,27 +1,109 @@
+from typing import Any, Dict, List, Optional, Tuple
+
 import json
 import time
 
-from typing import List, Dict, Optional, Any, Tuple
 from json_repair import repair_json
 
-from src.services.llm_service import LLMServiceClient
-from src.config.config import global_config
-from src.common.logger import get_logger
-from src.common.database.database_model import Expression
-from src.common.utils.utils_session import SessionUtils
-from src.prompt.prompt_manager import prompt_manager
-from src.learners.learner_utils_old import weighted_sample
 from src.chat.utils.common_utils import TempMethodsExpression
+from src.common.database.database_model import Expression
+from src.common.logger import get_logger
+from src.common.utils.utils_session import SessionUtils
+from src.config.config import global_config
+from src.learners.learner_utils_old import weighted_sample
+from src.prompt.prompt_manager import prompt_manager
+from src.services.llm_service import LLMServiceClient
 
 logger = get_logger("expression_selector")
 
 
 class ExpressionSelector:
-    def __init__(self):
+    def __init__(self) -> None:
+        """初始化表达方式选择器。"""
+
         self.llm_model = LLMServiceClient(
             task_name="utils", request_type="expression.selector"
         )
 
+    @staticmethod
+    def _get_runtime_manager() -> Any:
+        """获取插件运行时管理器。
+
+        Returns:
+            Any: 插件运行时管理器单例。
+        """
+
+        from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+        return get_plugin_runtime_manager()
+
+    @staticmethod
+    def _coerce_int(value: Any, default: int) -> int:
+        """将任意值安全转换为整数。
+
+        Args:
+            value: 待转换的值。
+            default: 转换失败时的默认值。
+
+        Returns:
+            int: 转换后的整数结果。
+        """
+
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return default
+
+    @staticmethod
+    def _normalize_selected_expressions(raw_expressions: Any) -> List[Dict[str, Any]]:
+        """从 Hook 载荷恢复表达方式选择结果。
+
+        Args:
+            raw_expressions: Hook 返回的表达方式列表。
+
+        Returns:
+            List[Dict[str, Any]]: 恢复后的表达方式列表。
+        """
+
+        if not isinstance(raw_expressions, list):
+            return []
+
+        normalized_expressions: List[Dict[str, Any]] = []
+        for raw_expression in raw_expressions:
+            if not isinstance(raw_expression, dict):
+                continue
+            expression_id = raw_expression.get("id")
+            situation = str(raw_expression.get("situation") or "").strip()
+            style = str(raw_expression.get("style") or "").strip()
+            source_id = str(raw_expression.get("source_id") or "").strip()
+            if not isinstance(expression_id, int) or not situation or not style or not source_id:
+                continue
+            normalized_expression = dict(raw_expression)
+            normalized_expression["id"] = expression_id
+            normalized_expression["situation"] = situation
+            normalized_expression["style"] = style
+            normalized_expression["source_id"] = source_id
+            normalized_expressions.append(normalized_expression)
+        return normalized_expressions
+
+    @staticmethod
+    def _normalize_selected_expression_ids(raw_ids: Any, expressions: List[Dict[str, Any]]) -> List[int]:
+        """规范化最终选中的表达方式 ID 列表。
+
+        Args:
+            raw_ids: Hook 返回的 ID 列表。
+            expressions: 当前最终表达方式列表。
+
+        Returns:
+            List[int]: 规范化后的 ID 列表。
+        """
+
+        if isinstance(raw_ids, list):
+            normalized_ids = [item for item in raw_ids if isinstance(item, int)]
+            if normalized_ids:
+                return normalized_ids
+        return [expression["id"] for expression in expressions if isinstance(expression.get("id"), int)]
+
     def can_use_expression_for_chat(self, chat_id: str) -> bool:
         """
         检查指定聊天流是否允许使用表达
@@ -214,8 +296,7 @@ class ExpressionSelector:
         reply_reason: Optional[str] = None,
         think_level: int = 1,
     ) -> Tuple[List[Dict[str, Any]], List[int]]:
-        """
-        选择适合的表达方式（使用classic模式：随机选择+LLM选择）
+        """选择适合的表达方式。
 
         Args:
             chat_id: 聊天流ID
@@ -233,11 +314,60 @@ class ExpressionSelector:
             logger.debug(f"聊天流 {chat_id} 不允许使用表达，返回空列表")
             return [], []
 
+        before_select_result = await self._get_runtime_manager().invoke_hook(
+            "expression.select.before_select",
+            chat_id=chat_id,
+            chat_info=chat_info,
+            max_num=max_num,
+            target_message=target_message or "",
+            reply_reason=reply_reason or "",
+            think_level=think_level,
+        )
+        if before_select_result.aborted:
+            logger.info(f"聊天流 {chat_id} 的表达方式选择被 Hook 中止")
+            return [], []
+
+        before_select_kwargs = before_select_result.kwargs
+        chat_id = str(before_select_kwargs.get("chat_id", chat_id) or "").strip() or chat_id
+        chat_info = str(before_select_kwargs.get("chat_info", chat_info) or "")
+        max_num = max(self._coerce_int(before_select_kwargs.get("max_num"), max_num), 1)
+        raw_target_message = before_select_kwargs.get("target_message", target_message or "")
+        target_message = str(raw_target_message or "").strip() or None
+        raw_reply_reason = before_select_kwargs.get("reply_reason", reply_reason or "")
+        reply_reason = str(raw_reply_reason or "").strip() or None
+        think_level = self._coerce_int(before_select_kwargs.get("think_level"), think_level)
+
         # 使用classic模式（随机选择+LLM选择）
         logger.debug(f"使用classic模式为聊天流 {chat_id} 选择表达方式，think_level={think_level}")
-        return await self._select_expressions_classic(
+        selected_expressions, selected_ids = await self._select_expressions_classic(
             chat_id, chat_info, max_num, target_message, reply_reason, think_level
         )
+        after_selection_result = await self._get_runtime_manager().invoke_hook(
+            "expression.select.after_selection",
+            chat_id=chat_id,
+            chat_info=chat_info,
+            max_num=max_num,
+            target_message=target_message or "",
+            reply_reason=reply_reason or "",
+            think_level=think_level,
+            selected_expressions=[dict(item) for item in selected_expressions],
+            selected_expression_ids=list(selected_ids),
+        )
+        if after_selection_result.aborted:
+            logger.info(f"聊天流 {chat_id} 的表达方式选择结果被 Hook 中止")
+            return [], []
+
+        after_selection_kwargs = after_selection_result.kwargs
+        raw_selected_expressions = after_selection_kwargs.get("selected_expressions")
+        if raw_selected_expressions is not None:
+            selected_expressions = self._normalize_selected_expressions(raw_selected_expressions)
+        selected_ids = self._normalize_selected_expression_ids(
+            after_selection_kwargs.get("selected_expression_ids"),
+            selected_expressions,
+        )
+        if selected_expressions:
+            self.update_expressions_last_active_time(selected_expressions)
+        return selected_expressions, selected_ids
 
     async def _select_expressions_classic(
         self,

src/learners/jargon_miner.py

@@ -1,5 +1,5 @@
 from collections import OrderedDict
-from typing import Callable, Dict, List, Optional, Set, TypedDict
+from typing import Any, Callable, Dict, List, Optional, Set, TypedDict
 
 import asyncio
 import json
@@ -9,13 +9,15 @@ from json_repair import repair_json
 from sqlmodel import select
 
 from src.common.data_models.jargon_data_model import MaiJargon
+from src.common.data_models.llm_service_data_models import LLMGenerationOptions
 from src.common.database.database import get_db_session
 from src.common.database.database_model import Jargon
 from src.common.logger import get_logger
 from src.config.config import global_config
-from src.common.data_models.llm_service_data_models import LLMGenerationOptions
-from src.services.llm_service import LLMServiceClient
+from src.plugin_runtime.hook_schema_utils import build_object_schema
+from src.plugin_runtime.host.hook_spec_registry import HookSpec, HookSpecRegistry
 from src.prompt.prompt_manager import prompt_manager
+from src.services.llm_service import LLMServiceClient
 
 from .expression_utils import is_single_char_jargon
 
@@ -35,8 +37,140 @@ class JargonMeaningEntry(TypedDict):
     meaning: str
 
 
+def register_jargon_hook_specs(registry: HookSpecRegistry) -> List[HookSpec]:
+    """注册 jargon 系统内置 Hook 规格。
+
+    Args:
+        registry: 目标 Hook 规格注册中心。
+
+    Returns:
+        List[HookSpec]: 实际注册的 Hook 规格列表。
+    """
+
+    return registry.register_hook_specs(
+        [
+            HookSpec(
+                name="jargon.query.before_search",
+                description="Maisaka 黑话查询工具执行检索前触发，可改写词条列表、检索参数或直接中止。",
+                parameters_schema=build_object_schema(
+                    {
+                        "words": {
+                            "type": "array",
+                            "items": {"type": "string"},
+                            "description": "准备查询的黑话词条列表。",
+                        },
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "limit": {"type": "integer", "description": "单个词条的最大返回条数。"},
+                        "case_sensitive": {"type": "boolean", "description": "是否大小写敏感。"},
+                        "enable_fuzzy_fallback": {"type": "boolean", "description": "是否允许精确命中失败后回退模糊检索。"},
+                        "abort_message": {"type": "string", "description": "Hook 主动中止时的失败提示。"},
+                    },
+                    required=["words", "session_id", "limit", "case_sensitive", "enable_fuzzy_fallback"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="jargon.query.after_search",
+                description="Maisaka 黑话查询工具完成检索后触发，可改写结果列表或中止返回。",
+                parameters_schema=build_object_schema(
+                    {
+                        "words": {
+                            "type": "array",
+                            "items": {"type": "string"},
+                            "description": "实际查询的黑话词条列表。",
+                        },
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "limit": {"type": "integer", "description": "单个词条的最大返回条数。"},
+                        "case_sensitive": {"type": "boolean", "description": "是否大小写敏感。"},
+                        "enable_fuzzy_fallback": {"type": "boolean", "description": "是否启用了模糊检索回退。"},
+                        "results": {
+                            "type": "array",
+                            "items": {"type": "object"},
+                            "description": "查询结果列表。",
+                        },
+                        "abort_message": {"type": "string", "description": "Hook 主动中止时的失败提示。"},
+                    },
+                    required=["words", "session_id", "limit", "case_sensitive", "enable_fuzzy_fallback", "results"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="jargon.extract.before_persist",
+                description="黑话条目准备写入数据库前触发，可改写去重后的条目列表或跳过本次持久化。",
+                parameters_schema=build_object_schema(
+                    {
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "session_name": {"type": "string", "description": "当前会话展示名称。"},
+                        "entries": {
+                            "type": "array",
+                            "items": {"type": "object"},
+                            "description": "即将持久化的黑话条目列表。",
+                        },
+                    },
+                    required=["session_id", "session_name", "entries"],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+            HookSpec(
+                name="jargon.inference.before_finalize",
+                description="黑话含义推断完成、写回数据库前触发，可改写最终判定与含义结果。",
+                parameters_schema=build_object_schema(
+                    {
+                        "session_id": {"type": "string", "description": "当前会话 ID。"},
+                        "session_name": {"type": "string", "description": "当前会话展示名称。"},
+                        "content": {"type": "string", "description": "当前黑话词条。"},
+                        "count": {"type": "integer", "description": "当前词条累计命中次数。"},
+                        "raw_content_list": {
+                            "type": "array",
+                            "items": {"type": "string"},
+                            "description": "用于推断的原始上下文片段列表。",
+                        },
+                        "inference_with_context": {"type": "object", "description": "基于上下文的推断结果。"},
+                        "inference_with_content_only": {"type": "object", "description": "仅基于词条内容的推断结果。"},
+                        "comparison_result": {"type": "object", "description": "比较阶段输出结果。"},
+                        "is_jargon": {"type": "boolean", "description": "当前推断是否判定为黑话。"},
+                        "meaning": {"type": "string", "description": "当前推断出的黑话含义。"},
+                        "is_complete": {"type": "boolean", "description": "当前是否已完成全部推断流程。"},
+                        "last_inference_count": {"type": "integer", "description": "本次推断完成后应写回的 last_inference_count。"},
+                    },
+                    required=[
+                        "session_id",
+                        "session_name",
+                        "content",
+                        "count",
+                        "raw_content_list",
+                        "inference_with_context",
+                        "inference_with_content_only",
+                        "comparison_result",
+                        "is_jargon",
+                        "meaning",
+                        "is_complete",
+                        "last_inference_count",
+                    ],
+                ),
+                default_timeout_ms=5000,
+                allow_abort=True,
+                allow_kwargs_mutation=True,
+            ),
+        ]
+    )
+
+
 class JargonMiner:
     def __init__(self, session_id: str, session_name: str) -> None:
+        """初始化黑话学习器。
+
+        Args:
+            session_id: 当前会话 ID。
+            session_name: 当前会话展示名称。
+        """
+
         self.session_id = session_id
         self.session_name = session_name
 
@@ -46,13 +180,92 @@ class JargonMiner:
         # 黑话提取锁，防止并发执行
         self._extraction_lock = asyncio.Lock()
 
+    @staticmethod
+    def _get_runtime_manager() -> Any:
+        """获取插件运行时管理器。
+
+        Returns:
+            Any: 插件运行时管理器单例。
+        """
+
+        from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+        return get_plugin_runtime_manager()
+
+    @staticmethod
+    def _coerce_int(value: Any, default: int) -> int:
+        """将任意值安全转换为整数。
+
+        Args:
+            value: 待转换的值。
+            default: 转换失败时使用的默认值。
+
+        Returns:
+            int: 转换后的整数结果。
+        """
+
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return default
+
+    @staticmethod
+    def _serialize_jargon_entries(entries: List[JargonEntry]) -> List[Dict[str, object]]:
+        """将黑话条目列表序列化为 Hook 可传输结构。
+
+        Args:
+            entries: 原始黑话条目列表。
+
+        Returns:
+            List[Dict[str, object]]: 序列化后的条目列表。
+        """
+
+        return [
+            {
+                "content": str(entry["content"]).strip(),
+                "raw_content": sorted(str(item).strip() for item in entry["raw_content"] if str(item).strip()),
+            }
+            for entry in entries
+            if str(entry["content"]).strip()
+        ]
+
+    @staticmethod
+    def _deserialize_jargon_entries(raw_entries: Any) -> List[JargonEntry]:
+        """从 Hook 载荷恢复黑话条目列表。
+
+        Args:
+            raw_entries: Hook 返回的条目数据。
+
+        Returns:
+            List[JargonEntry]: 恢复后的黑话条目列表。
+        """
+
+        if not isinstance(raw_entries, list):
+            return []
+
+        normalized_entries: List[JargonEntry] = []
+        for raw_entry in raw_entries:
+            if not isinstance(raw_entry, dict):
+                continue
+            content = str(raw_entry.get("content") or "").strip()
+            if not content:
+                continue
+            raw_content_values = raw_entry.get("raw_content")
+            raw_content: Set[str] = set()
+            if isinstance(raw_content_values, list):
+                raw_content = {str(item).strip() for item in raw_content_values if str(item).strip()}
+            normalized_entries.append({"content": content, "raw_content": raw_content})
+        return normalized_entries
+
     def get_cached_jargons(self) -> List[str]:
         """获取缓存中的所有黑话列表"""
         return list(self.cache.keys())
 
     async def infer_meaning(self, jargon_obj: MaiJargon) -> None:
-        """
-        对jargon进行含义推断
+        """对黑话条目执行含义推断。
+
+        Args:
+            jargon_obj: 待推断的黑话数据对象。
         """
         content = jargon_obj.content
         # 解析raw_content列表
@@ -175,15 +388,45 @@ class JargonMiner:
         is_similar = comparison_result.get("is_similar", False)
         is_jargon = not is_similar  # 如果相似，说明不是黑话；如果有差异，说明是黑话
 
+        finalized_meaning = inference1.get("meaning", "") if is_jargon else ""
+        is_complete = (jargon_obj.count or 0) >= 100
+        last_inference_count = jargon_obj.count or 0
+        finalize_result = await self._get_runtime_manager().invoke_hook(
+            "jargon.inference.before_finalize",
+            session_id=self.session_id,
+            session_name=self.session_name,
+            content=content,
+            count=current_count,
+            raw_content_list=list(raw_content_list),
+            inference_with_context=dict(inference1),
+            inference_with_content_only=dict(inference2),
+            comparison_result=dict(comparison_result),
+            is_jargon=is_jargon,
+            meaning=finalized_meaning,
+            is_complete=is_complete,
+            last_inference_count=last_inference_count,
+        )
+        if finalize_result.aborted:
+            logger.info(f"jargon {content} 的推断结果被 Hook 中止写回")
+            return
+
+        finalize_kwargs = finalize_result.kwargs
+        is_jargon = bool(finalize_kwargs.get("is_jargon", is_jargon))
+        finalized_meaning = str(finalize_kwargs.get("meaning", finalized_meaning) or "").strip() if is_jargon else ""
+        is_complete = bool(finalize_kwargs.get("is_complete", is_complete))
+        last_inference_count = self._coerce_int(
+            finalize_kwargs.get("last_inference_count"),
+            last_inference_count,
+        )
+
         # 更新数据库记录
         jargon_obj.is_jargon = is_jargon
-        jargon_obj.meaning = inference1.get("meaning", "") if is_jargon else ""
+        jargon_obj.meaning = finalized_meaning
         # 更新最后一次判定的count值，避免重启后重复判定
-        jargon_obj.last_inference_count = jargon_obj.count or 0
+        jargon_obj.last_inference_count = last_inference_count
 
         # 如果count>=100，标记为完成，不再进行推断
-        if (jargon_obj.count or 0) >= 100:
-            jargon_obj.is_complete = True
+        jargon_obj.is_complete = is_complete
 
         try:
             self._modify_jargon_entry(jargon_obj)
@@ -232,6 +475,22 @@ class JargonMiner:
                 merged_entries[content] = {"content": content, "raw_content": set(raw_list)}
 
         uniq_entries: List[JargonEntry] = list(merged_entries.values())
+        before_persist_result = await self._get_runtime_manager().invoke_hook(
+            "jargon.extract.before_persist",
+            session_id=self.session_id,
+            session_name=self.session_name,
+            entries=self._serialize_jargon_entries(uniq_entries),
+        )
+        if before_persist_result.aborted:
+            logger.info(f"[{self.session_name}] 黑话提取结果被 Hook 中止，不写入数据库")
+            return
+
+        raw_hook_entries = before_persist_result.kwargs.get("entries")
+        if raw_hook_entries is not None:
+            uniq_entries = self._deserialize_jargon_entries(raw_hook_entries)
+            if not uniq_entries:
+                logger.info(f"[{self.session_name}] Hook 过滤后没有可写入的黑话条目")
+                return
 
         saved = 0
         updated = 0

src/maisaka/reasoning_engine.py

@@ -54,6 +54,84 @@ class MaisakaReasoningEngine:
         self._runtime = runtime
         self._last_reasoning_content: str = ""
 
+    @staticmethod
+    def _get_runtime_manager() -> Any:
+        """获取插件运行时管理器。
+
+        Returns:
+            Any: 插件运行时管理器单例。
+        """
+
+        from src.plugin_runtime.integration import get_plugin_runtime_manager
+
+        return get_plugin_runtime_manager()
+
+    @staticmethod
+    def _normalize_words(raw_words: Any) -> list[str]:
+        """清洗黑话查询词条列表。
+
+        Args:
+            raw_words: 原始词条列表。
+
+        Returns:
+            list[str]: 去重去空白后的词条列表。
+        """
+
+        if not isinstance(raw_words, list):
+            return []
+
+        normalized_words: list[str] = []
+        seen_words: set[str] = set()
+        for item in raw_words:
+            if not isinstance(item, str):
+                continue
+            word = item.strip()
+            if not word or word in seen_words:
+                continue
+            seen_words.add(word)
+            normalized_words.append(word)
+        return normalized_words
+
+    @staticmethod
+    def _normalize_jargon_query_results(raw_results: Any) -> list[dict[str, object]]:
+        """规范化黑话查询结果列表。
+
+        Args:
+            raw_results: Hook 返回的结果列表。
+
+        Returns:
+            list[dict[str, object]]: 清洗后的结果列表。
+        """
+
+        if not isinstance(raw_results, list):
+            return []
+
+        normalized_results: list[dict[str, object]] = []
+        for raw_item in raw_results:
+            if not isinstance(raw_item, dict):
+                continue
+            word = str(raw_item.get("word") or "").strip()
+            matches = raw_item.get("matches")
+            normalized_matches: list[dict[str, str]] = []
+            if isinstance(matches, list):
+                for match in matches:
+                    if not isinstance(match, dict):
+                        continue
+                    content = str(match.get("content") or "").strip()
+                    meaning = str(match.get("meaning") or "").strip()
+                    if not content or not meaning:
+                        continue
+                    normalized_matches.append({"content": content, "meaning": meaning})
+
+            normalized_results.append(
+                {
+                    "word": word,
+                    "found": bool(raw_item.get("found", bool(normalized_matches))),
+                    "matches": normalized_matches,
+                }
+            )
+        return normalized_results
+
     def build_builtin_tool_handlers(self) -> dict[str, "BuiltinToolHandler"]:
         """构造 Maisaka 内置工具处理器映射。
 
@@ -1012,6 +1090,35 @@ class MaisakaReasoningEngine:
                 "查询黑话工具至少需要一个非空词条。",
             )
 
+        limit = 5
+        case_sensitive = False
+        enable_fuzzy_fallback = True
+        before_search_result = await self._get_runtime_manager().invoke_hook(
+            "jargon.query.before_search",
+            words=list(words),
+            session_id=self._runtime.session_id,
+            limit=limit,
+            case_sensitive=case_sensitive,
+            enable_fuzzy_fallback=enable_fuzzy_fallback,
+            abort_message="黑话查询已被 Hook 中止。",
+        )
+        if before_search_result.aborted:
+            abort_message = str(before_search_result.kwargs.get("abort_message") or "黑话查询已被 Hook 中止。").strip()
+            return self._build_tool_failure_result(tool_call.func_name, abort_message or "黑话查询已被 Hook 中止。")
+
+        before_search_kwargs = before_search_result.kwargs
+        if before_search_kwargs.get("words") is not None:
+            words = self._normalize_words(before_search_kwargs.get("words"))
+        if not words:
+            return self._build_tool_failure_result(tool_call.func_name, "Hook 过滤后没有可查询的黑话词条。")
+        try:
+            limit = int(before_search_kwargs.get("limit", limit))
+        except (TypeError, ValueError):
+            limit = 5
+        limit = max(limit, 1)
+        case_sensitive = bool(before_search_kwargs.get("case_sensitive", case_sensitive))
+        enable_fuzzy_fallback = bool(before_search_kwargs.get("enable_fuzzy_fallback", enable_fuzzy_fallback))
+
         logger.info(f"{self._runtime.log_prefix} 已触发黑话查询: 词条={words!r}")
 
         results: list[dict[str, object]] = []
@@ -1019,17 +1126,19 @@ class MaisakaReasoningEngine:
             exact_matches = search_jargon(
                 keyword=word,
                 chat_id=self._runtime.session_id,
-                limit=5,
-                case_sensitive=False,
+                limit=limit,
+                case_sensitive=case_sensitive,
                 fuzzy=False,
             )
-            matched_entries = exact_matches or search_jargon(
-                keyword=word,
-                chat_id=self._runtime.session_id,
-                limit=5,
-                case_sensitive=False,
-                fuzzy=True,
-            )
+            matched_entries = exact_matches
+            if not matched_entries and enable_fuzzy_fallback:
+                matched_entries = search_jargon(
+                    keyword=word,
+                    chat_id=self._runtime.session_id,
+                    limit=limit,
+                    case_sensitive=case_sensitive,
+                    fuzzy=True,
+                )
 
             results.append(
                 {
@@ -1039,6 +1148,27 @@ class MaisakaReasoningEngine:
                 }
             )
 
+        after_search_result = await self._get_runtime_manager().invoke_hook(
+            "jargon.query.after_search",
+            words=list(words),
+            session_id=self._runtime.session_id,
+            limit=limit,
+            case_sensitive=case_sensitive,
+            enable_fuzzy_fallback=enable_fuzzy_fallback,
+            results=list(results),
+            abort_message="黑话查询结果已被 Hook 中止。",
+        )
+        if after_search_result.aborted:
+            abort_message = str(after_search_result.kwargs.get("abort_message") or "黑话查询结果已被 Hook 中止。").strip()
+            return self._build_tool_failure_result(
+                tool_call.func_name,
+                abort_message or "黑话查询结果已被 Hook 中止。",
+            )
+
+        raw_results = after_search_result.kwargs.get("results")
+        if raw_results is not None:
+            results = self._normalize_jargon_query_results(raw_results)
+
         logger.info(f"{self._runtime.log_prefix} 黑话查询完成: 结果={results!r}")
         return self._build_tool_success_result(
             tool_call.func_name,

src/plugin_runtime/hook_catalog.py

@@ -20,11 +20,17 @@ def _get_builtin_hook_spec_registrars() -> List[HookSpecRegistrar]:
     """
 
     from src.chat.message_receive.bot import register_chat_hook_specs
+    from src.chat.emoji_system.emoji_manager import register_emoji_hook_specs
+    from src.learners.expression_learner import register_expression_hook_specs
+    from src.learners.jargon_miner import register_jargon_hook_specs
     from src.maisaka.chat_loop_service import register_maisaka_hook_specs
     from src.services.send_service import register_send_service_hook_specs
 
     return [
         register_chat_hook_specs,
+        register_emoji_hook_specs,
+        register_jargon_hook_specs,
+        register_expression_hook_specs,
         register_send_service_hook_specs,
         register_maisaka_hook_specs,
     ]

src/webui/logs_ws.py

@@ -9,6 +9,7 @@ from fastapi import APIRouter, Query, WebSocket, WebSocketDisconnect
 from src.common.logger import get_logger
 from src.webui.core import get_token_manager
 from src.webui.routers.websocket.auth import verify_ws_token
+from src.webui.routers.websocket.manager import websocket_manager
 
 logger = get_logger("webui.logs_ws")
 router = APIRouter()
@@ -148,24 +149,9 @@ async def broadcast_log(log_data: Dict):
     Args:
         log_data: 日志数据字典
     """
-    if not active_connections:
-        return
-
-    # 格式化为 JSON
-    message = json.dumps(log_data, ensure_ascii=False)
-
-    # 记录需要断开的连接
-    disconnected = set()
-
-    # 广播到所有客户端
-    for connection in active_connections:
-        try:
-            await connection.send_text(message)
-        except Exception:
-            # 发送失败，标记为断开
-            disconnected.add(connection)
-
-    # 清理断开的连接
-    if disconnected:
-        active_connections.difference_update(disconnected)
-        logger.debug(f"清理了 {len(disconnected)} 个断开的 WebSocket 连接")
+    await websocket_manager.broadcast_to_topic(
+        domain="logs",
+        topic="main",
+        event="entry",
+        data={"entry": log_data},
+    )

src/webui/routers/__init__.py

@@ -18,12 +18,10 @@ def get_all_routers() -> List[APIRouter]:
     from src.webui.api.replier import router as replier_router
     from src.webui.routers.chat import router as chat_router
     from src.webui.routers.knowledge import router as knowledge_router
-    from src.webui.routers.websocket.logs import router as logs_router
     from src.webui.routes import router as main_router
 
     return [
         main_router,
-        logs_router,
         knowledge_router,
         chat_router,
         planner_router,

src/webui/routers/chat/__init__.py

@@ -1,7 +1,7 @@
 from typing import Tuple
 
 from .routes import router
-from .support import WEBUI_CHAT_PLATFORM, ChatConnectionManager, chat_manager
+from .service import WEBUI_CHAT_PLATFORM, ChatConnectionManager, chat_manager
 
 
 def get_webui_chat_broadcaster() -> Tuple[ChatConnectionManager, str]:

src/webui/routers/chat/routes.py

@@ -1,9 +1,8 @@
 """本地聊天室路由 - WebUI 与麦麦直接对话。"""
 
-import uuid
 from typing import Dict, Optional
 
-from fastapi import APIRouter, Depends, Query, WebSocket, WebSocketDisconnect
+from fastapi import APIRouter, Depends, Query
 from sqlalchemy import case, func
 from sqlmodel import col, select
 
@@ -13,16 +12,11 @@ from src.common.logger import get_logger
 from src.config.config import global_config
 from src.webui.dependencies import require_auth
 
-from .support import (
+from .service import (
     WEBUI_CHAT_GROUP_ID,
     WEBUI_CHAT_PLATFORM,
-    authenticate_chat_websocket,
     chat_history,
     chat_manager,
-    dispatch_chat_event,
-    normalize_webui_user_id,
-    resolve_initial_virtual_identity,
-    send_initial_chat_state,
 )
 
 logger = get_logger("webui.chat")
@@ -113,55 +107,6 @@ async def clear_chat_history(
     return {"success": True, "message": f"已清空 {deleted} 条聊天记录"}
 
 
-@router.websocket("/ws")
-async def websocket_chat(
-    websocket: WebSocket,
-    user_id: Optional[str] = Query(default=None),
-    user_name: Optional[str] = Query(default="WebUI用户"),
-    platform: Optional[str] = Query(default=None),
-    person_id: Optional[str] = Query(default=None),
-    group_name: Optional[str] = Query(default=None),
-    group_id: Optional[str] = Query(default=None),
-    token: Optional[str] = Query(default=None),
-) -> None:
-    """WebSocket 聊天端点。"""
-    if not await authenticate_chat_websocket(websocket, token):
-        logger.warning("聊天 WebSocket 连接被拒绝：认证失败")
-        await websocket.close(code=4001, reason="认证失败，请重新登录")
-        return
-
-    session_id = str(uuid.uuid4())
-    normalized_user_id = normalize_webui_user_id(user_id)
-    current_user_name = user_name or "WebUI用户"
-    current_virtual_config = resolve_initial_virtual_identity(platform, person_id, group_name, group_id)
-
-    await chat_manager.connect(websocket, session_id, normalized_user_id)
-    try:
-        await send_initial_chat_state(
-            session_id=session_id,
-            user_id=normalized_user_id,
-            user_name=current_user_name,
-            virtual_config=current_virtual_config,
-        )
-
-        while True:
-            data = await websocket.receive_json()
-            current_user_name, current_virtual_config = await dispatch_chat_event(
-                session_id=session_id,
-                session_id_prefix=session_id[:8],
-                data=data,
-                current_user_name=current_user_name,
-                normalized_user_id=normalized_user_id,
-                current_virtual_config=current_virtual_config,
-            )
-    except WebSocketDisconnect:
-        logger.info(f"WebSocket 断开: session={session_id}, user={normalized_user_id}")
-    except Exception as e:
-        logger.error(f"WebSocket 错误: {e}")
-    finally:
-        chat_manager.disconnect(session_id, normalized_user_id)
-
-
 @router.get("/info")
 async def get_chat_info() -> Dict[str, object]:
     """获取聊天室信息。"""

src/webui/routers/chat/service.py

@@ -1,10 +1,10 @@
-"""WebUI 聊天路由支持逻辑。"""
+"""WebUI 聊天运行时服务。"""
 
+from dataclasses import dataclass
 import time
 import uuid
-from typing import Any, Dict, List, Optional, Tuple, cast
+from typing import Any, Awaitable, Callable, Dict, List, Optional, Set, Tuple, cast
 
-from fastapi import WebSocket
 from pydantic import BaseModel
 from sqlmodel import col, delete, select
 
@@ -17,8 +17,6 @@ from src.common.logger import get_logger
 from src.common.message_repository import find_messages
 from src.common.utils.utils_session import SessionUtils
 from src.config.config import global_config
-from src.webui.core import get_token_manager
-from src.webui.routers.websocket.auth import verify_ws_token
 
 logger = get_logger("webui.chat")
 
@@ -27,6 +25,8 @@ WEBUI_CHAT_PLATFORM = "webui"
 VIRTUAL_GROUP_ID_PREFIX = "webui_virtual_group_"
 WEBUI_USER_ID_PREFIX = "webui_user_"
 
+AsyncMessageSender = Callable[[Dict[str, Any]], Awaitable[None]]
+
 
 class VirtualIdentityConfig(BaseModel):
     """虚拟身份配置。"""
@@ -52,13 +52,42 @@ class ChatHistoryMessage(BaseModel):
     is_bot: bool = False
 
 
+@dataclass
+class ChatSessionConnection:
+    """逻辑聊天会话连接信息。"""
+
+    session_id: str
+    connection_id: str
+    client_session_id: str
+    user_id: str
+    user_name: str
+    active_group_id: str
+    virtual_config: Optional[VirtualIdentityConfig]
+    sender: AsyncMessageSender
+
+
 class ChatHistoryManager:
     """聊天历史管理器。"""
 
     def __init__(self, max_messages: int = 200) -> None:
+        """初始化聊天历史管理器。
+
+        Args:
+            max_messages: 内存中允许处理的最大消息数。
+        """
         self.max_messages = max_messages
 
     def _message_to_dict(self, msg: SessionMessage, group_id: Optional[str] = None) -> Dict[str, Any]:
+        """将内部消息对象转换为前端可消费的字典。
+
+        Args:
+            msg: 内部统一消息对象。
+            group_id: 当前会话所属的群组标识。
+
+        Returns:
+            Dict[str, Any]: 面向 WebUI 的消息字典。
+        """
+        del group_id
         user_info = msg.message_info.user_info
         user_id = user_info.user_id or ""
         is_bot = is_bot_self(msg.platform, user_id)
@@ -74,10 +103,27 @@ class ChatHistoryManager:
         }
 
     def _resolve_session_id(self, group_id: Optional[str]) -> str:
+        """根据群组标识解析聊天会话 ID。
+
+        Args:
+            group_id: 群组标识。
+
+        Returns:
+            str: 内部聊天会话 ID。
+        """
         target_group_id = group_id or WEBUI_CHAT_GROUP_ID
         return SessionUtils.calculate_session_id(WEBUI_CHAT_PLATFORM, group_id=target_group_id)
 
     def get_history(self, limit: int = 50, group_id: Optional[str] = None) -> List[Dict[str, Any]]:
+        """获取指定会话的历史消息。
+
+        Args:
+            limit: 最大返回条数。
+            group_id: 群组标识。
+
+        Returns:
+            List[Dict[str, Any]]: 历史消息列表。
+        """
         target_group_id = group_id or WEBUI_CHAT_GROUP_ID
         session_id = self._resolve_session_id(target_group_id)
         try:
@@ -90,11 +136,19 @@ class ChatHistoryManager:
             result = [self._message_to_dict(msg, target_group_id) for msg in messages]
             logger.debug(f"从数据库加载了 {len(result)} 条聊天记录 (group_id={target_group_id})")
             return result
-        except Exception as e:
-            logger.error(f"从数据库加载聊天记录失败: {e}")
+        except Exception as exc:
+            logger.error(f"从数据库加载聊天记录失败: {exc}")
             return []
 
     def clear_history(self, group_id: Optional[str] = None) -> int:
+        """清空指定会话的历史消息。
+
+        Args:
+            group_id: 群组标识。
+
+        Returns:
+            int: 被删除的消息数量。
+        """
         target_group_id = group_id or WEBUI_CHAT_GROUP_ID
         session_id = self._resolve_session_id(target_group_id)
         try:
@@ -104,66 +158,245 @@ class ChatHistoryManager:
                 deleted = result.rowcount or 0
             logger.info(f"已清空 {deleted} 条聊天记录 (group_id={target_group_id})")
             return deleted
-        except Exception as e:
-            logger.error(f"清空聊天记录失败: {e}")
+        except Exception as exc:
+            logger.error(f"清空聊天记录失败: {exc}")
             return 0
 
 
 class ChatConnectionManager:
-    """聊天连接管理器。"""
+    """统一聊天逻辑会话管理器。"""
 
     def __init__(self) -> None:
-        self.active_connections: Dict[str, WebSocket] = {}
-        self.user_sessions: Dict[str, str] = {}
+        """初始化聊天逻辑会话管理器。"""
+        self.active_connections: Dict[str, ChatSessionConnection] = {}
+        self.client_sessions: Dict[Tuple[str, str], str] = {}
+        self.connection_sessions: Dict[str, Set[str]] = {}
+        self.group_sessions: Dict[str, Set[str]] = {}
+        self.user_sessions: Dict[str, Set[str]] = {}
 
-    async def connect(self, websocket: WebSocket, session_id: str, user_id: str) -> None:
-        await websocket.accept()
-        self.active_connections[session_id] = websocket
-        self.user_sessions[user_id] = session_id
-        logger.info(f"WebUI 聊天会话已连接: session={session_id}, user={user_id}")
+    def _bind_group(self, session_id: str, group_id: str) -> None:
+        """为会话绑定群组索引。
 
-    def disconnect(self, session_id: str, user_id: str) -> None:
-        if session_id in self.active_connections:
-            del self.active_connections[session_id]
-        if user_id in self.user_sessions and self.user_sessions[user_id] == session_id:
-            del self.user_sessions[user_id]
-        logger.info(f"WebUI 聊天会话已断开: session={session_id}")
+        Args:
+            session_id: 内部会话 ID。
+            group_id: 群组标识。
+        """
+        group_session_ids = self.group_sessions.setdefault(group_id, set())
+        group_session_ids.add(session_id)
+
+    def _unbind_group(self, session_id: str, group_id: str) -> None:
+        """移除会话与群组的索引关系。
+
+        Args:
+            session_id: 内部会话 ID。
+            group_id: 群组标识。
+        """
+        group_session_ids = self.group_sessions.get(group_id)
+        if group_session_ids is None:
+            return
+
+        group_session_ids.discard(session_id)
+        if not group_session_ids:
+            del self.group_sessions[group_id]
+
+    async def connect(
+        self,
+        session_id: str,
+        connection_id: str,
+        client_session_id: str,
+        user_id: str,
+        user_name: str,
+        virtual_config: Optional[VirtualIdentityConfig],
+        sender: AsyncMessageSender,
+    ) -> None:
+        """注册一个新的逻辑聊天会话。
+
+        Args:
+            session_id: 内部逻辑会话 ID。
+            connection_id: 物理 WebSocket 连接 ID。
+            client_session_id: 前端标签页使用的会话 ID。
+            user_id: 规范化后的用户 ID。
+            user_name: 当前展示昵称。
+            virtual_config: 当前虚拟身份配置。
+            sender: 发送消息到前端的异步回调。
+        """
+        existing_session_id = self.client_sessions.get((connection_id, client_session_id))
+        if existing_session_id is not None:
+            self.disconnect(existing_session_id)
+
+        active_group_id = get_current_group_id(virtual_config)
+        session_connection = ChatSessionConnection(
+            session_id=session_id,
+            connection_id=connection_id,
+            client_session_id=client_session_id,
+            user_id=user_id,
+            user_name=user_name,
+            active_group_id=active_group_id,
+            virtual_config=virtual_config,
+            sender=sender,
+        )
+
+        self.active_connections[session_id] = session_connection
+        self.client_sessions[(connection_id, client_session_id)] = session_id
+        self.connection_sessions.setdefault(connection_id, set()).add(session_id)
+        self.user_sessions.setdefault(user_id, set()).add(session_id)
+        self._bind_group(session_id, active_group_id)
+        logger.info(
+            "WebUI 聊天会话已连接: session=%s, connection=%s, client_session=%s, user=%s, group=%s",
+            session_id,
+            connection_id,
+            client_session_id,
+            user_id,
+            active_group_id,
+        )
+
+    def disconnect(self, session_id: str) -> None:
+        """断开一个逻辑聊天会话。
+
+        Args:
+            session_id: 内部逻辑会话 ID。
+        """
+        session_connection = self.active_connections.pop(session_id, None)
+        if session_connection is None:
+            return
+
+        self.client_sessions.pop((session_connection.connection_id, session_connection.client_session_id), None)
+        self._unbind_group(session_id, session_connection.active_group_id)
+
+        connection_session_ids = self.connection_sessions.get(session_connection.connection_id)
+        if connection_session_ids is not None:
+            connection_session_ids.discard(session_id)
+            if not connection_session_ids:
+                del self.connection_sessions[session_connection.connection_id]
+
+        user_session_ids = self.user_sessions.get(session_connection.user_id)
+        if user_session_ids is not None:
+            user_session_ids.discard(session_id)
+            if not user_session_ids:
+                del self.user_sessions[session_connection.user_id]
+
+        logger.info("WebUI 聊天会话已断开: session=%s", session_id)
+
+    def disconnect_connection(self, connection_id: str) -> None:
+        """断开物理连接下的全部逻辑聊天会话。
+
+        Args:
+            connection_id: 物理 WebSocket 连接 ID。
+        """
+        session_ids = list(self.connection_sessions.get(connection_id, set()))
+        for session_id in session_ids:
+            self.disconnect(session_id)
+
+    def get_session(self, session_id: str) -> Optional[ChatSessionConnection]:
+        """获取逻辑聊天会话信息。
+
+        Args:
+            session_id: 内部逻辑会话 ID。
+
+        Returns:
+            Optional[ChatSessionConnection]: 会话存在时返回对应信息。
+        """
+        return self.active_connections.get(session_id)
+
+    def get_session_id(self, connection_id: str, client_session_id: str) -> Optional[str]:
+        """根据连接 ID 和前端会话 ID 查询内部会话 ID。
+
+        Args:
+            connection_id: 物理 WebSocket 连接 ID。
+            client_session_id: 前端标签页使用的会话 ID。
+
+        Returns:
+            Optional[str]: 找到时返回内部会话 ID。
+        """
+        return self.client_sessions.get((connection_id, client_session_id))
+
+    def update_session_context(
+        self,
+        session_id: str,
+        user_name: str,
+        virtual_config: Optional[VirtualIdentityConfig],
+    ) -> None:
+        """更新会话上下文信息。
+
+        Args:
+            session_id: 内部逻辑会话 ID。
+            user_name: 最新昵称。
+            virtual_config: 最新虚拟身份配置。
+        """
+        session_connection = self.active_connections.get(session_id)
+        if session_connection is None:
+            return
+
+        next_group_id = get_current_group_id(virtual_config)
+        if next_group_id != session_connection.active_group_id:
+            self._unbind_group(session_id, session_connection.active_group_id)
+            self._bind_group(session_id, next_group_id)
+            session_connection.active_group_id = next_group_id
+
+        session_connection.user_name = user_name
+        session_connection.virtual_config = virtual_config
 
     async def send_message(self, session_id: str, message: Dict[str, Any]) -> None:
-        if session_id in self.active_connections:
-            try:
-                await self.active_connections[session_id].send_json(message)
-            except Exception as e:
-                logger.error(f"发送消息失败: {e}")
+        """向指定逻辑会话发送消息。
+
+        Args:
+            session_id: 内部逻辑会话 ID。
+            message: 待发送的消息内容。
+        """
+        session_connection = self.active_connections.get(session_id)
+        if session_connection is None:
+            return
+
+        try:
+            await session_connection.sender(message)
+        except Exception as exc:
+            logger.error("发送聊天消息失败: session=%s, error=%s", session_id, exc)
 
     async def broadcast(self, message: Dict[str, Any]) -> None:
+        """向全部逻辑聊天会话广播消息。
+
+        Args:
+            message: 待广播的消息内容。
+        """
         for session_id in list(self.active_connections.keys()):
             await self.send_message(session_id, message)
 
+    async def broadcast_to_group(self, group_id: str, message: Dict[str, Any]) -> None:
+        """向指定群组下的全部逻辑会话广播消息。
+
+        Args:
+            group_id: 群组标识。
+            message: 待广播的消息内容。
+        """
+        for session_id in list(self.group_sessions.get(group_id, set())):
+            await self.send_message(session_id, message)
+
 
 chat_history = ChatHistoryManager()
 chat_manager = ChatConnectionManager()
 
 
 def is_virtual_mode_enabled(virtual_config: Optional[VirtualIdentityConfig]) -> bool:
+    """判断当前是否启用了虚拟身份模式。
+
+    Args:
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        bool: 已启用时返回 ``True``。
+    """
     return bool(virtual_config and virtual_config.enabled)
 
 
-async def authenticate_chat_websocket(websocket: WebSocket, token: Optional[str]) -> bool:
-    if token and verify_ws_token(token):
-        logger.debug("聊天 WebSocket 使用临时 token 认证成功")
-        return True
-
-    if cookie_token := websocket.cookies.get("maibot_session"):
-        token_manager = get_token_manager()
-        if token_manager.verify_token(cookie_token):
-            logger.debug("聊天 WebSocket 使用 Cookie 认证成功")
-            return True
-
-    return False
-
-
 def normalize_webui_user_id(user_id: Optional[str]) -> str:
+    """标准化 WebUI 用户 ID。
+
+    Args:
+        user_id: 原始用户 ID。
+
+    Returns:
+        str: 带统一前缀的用户 ID。
+    """
     if not user_id:
         return f"{WEBUI_USER_ID_PREFIX}{uuid.uuid4().hex[:16]}"
     if user_id.startswith(WEBUI_USER_ID_PREFIX):
@@ -172,12 +405,30 @@ def normalize_webui_user_id(user_id: Optional[str]) -> str:
 
 
 def get_person_by_person_id(person_id: str) -> Optional[PersonInfo]:
+    """根据人物 ID 查询人物信息。
+
+    Args:
+        person_id: 人物 ID。
+
+    Returns:
+        Optional[PersonInfo]: 查到时返回人物信息。
+    """
     with get_db_session() as session:
         statement = select(PersonInfo).where(col(PersonInfo.person_id) == person_id).limit(1)
         return session.exec(statement).first()
 
 
 def build_virtual_identity_config(person: PersonInfo, group_id: str, group_name: str) -> VirtualIdentityConfig:
+    """根据人物信息构建虚拟身份配置。
+
+    Args:
+        person: 人物信息对象。
+        group_id: 逻辑群组 ID。
+        group_name: 逻辑群组名称。
+
+    Returns:
+        VirtualIdentityConfig: 虚拟身份配置对象。
+    """
     return VirtualIdentityConfig(
         enabled=True,
         platform=person.platform,
@@ -195,6 +446,17 @@ def resolve_initial_virtual_identity(
     group_name: Optional[str],
     group_id: Optional[str],
 ) -> Optional[VirtualIdentityConfig]:
+    """根据初始参数解析虚拟身份配置。
+
+    Args:
+        platform: 平台名称。
+        person_id: 人物 ID。
+        group_name: 群组名称。
+        group_id: 群组 ID。
+
+    Returns:
+        Optional[VirtualIdentityConfig]: 解析成功时返回虚拟身份配置。
+    """
     if not (platform and person_id):
         return None
 
@@ -210,11 +472,14 @@ def resolve_initial_virtual_identity(
             group_name=group_name or "WebUI虚拟群聊",
         )
         logger.info(
-            f"虚拟身份模式已通过 URL 参数激活: {virtual_config.user_nickname} @ {virtual_config.platform}, group_id={virtual_group_id}"
+            "虚拟身份模式已通过参数激活: %s @ %s, group_id=%s",
+            virtual_config.user_nickname,
+            virtual_config.platform,
+            virtual_group_id,
         )
         return virtual_config
-    except Exception as e:
-        logger.warning(f"通过 URL 参数配置虚拟身份失败: {e}")
+    except Exception as exc:
+        logger.warning(f"通过参数配置虚拟身份失败: {exc}")
         return None
 
 
@@ -224,6 +489,17 @@ def build_session_info_message(
     user_name: str,
     virtual_config: Optional[VirtualIdentityConfig],
 ) -> Dict[str, Any]:
+    """构建会话信息消息。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        user_id: 规范化后的用户 ID。
+        user_name: 当前昵称。
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        Dict[str, Any]: 会话信息消息。
+    """
     session_info_data: Dict[str, Any] = {
         "type": "session_info",
         "session_id": session_id,
@@ -247,13 +523,41 @@ def build_session_info_message(
 
 
 def get_active_history_group_id(virtual_config: Optional[VirtualIdentityConfig]) -> Optional[str]:
+    """获取当前虚拟身份对应的历史群组 ID。
+
+    Args:
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        Optional[str]: 虚拟身份启用时返回对应群组 ID。
+    """
     if is_virtual_mode_enabled(virtual_config):
         assert virtual_config is not None
         return virtual_config.group_id
     return None
 
 
+def get_current_group_id(virtual_config: Optional[VirtualIdentityConfig]) -> str:
+    """获取当前会话的有效群组 ID。
+
+    Args:
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        str: 当前会话应使用的群组 ID。
+    """
+    return get_active_history_group_id(virtual_config) or WEBUI_CHAT_GROUP_ID
+
+
 def build_welcome_message(virtual_config: Optional[VirtualIdentityConfig]) -> str:
+    """构建欢迎消息。
+
+    Args:
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        str: 欢迎消息文本。
+    """
     if is_virtual_mode_enabled(virtual_config):
         assert virtual_config is not None
         return (
@@ -264,6 +568,12 @@ def build_welcome_message(virtual_config: Optional[VirtualIdentityConfig]) -> st
 
 
 async def send_chat_error(session_id: str, content: str) -> None:
+    """向指定会话发送错误消息。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        content: 错误消息内容。
+    """
     await chat_manager.send_message(
         session_id,
         {
@@ -279,7 +589,17 @@ async def send_initial_chat_state(
     user_id: str,
     user_name: str,
     virtual_config: Optional[VirtualIdentityConfig],
+    include_welcome: bool = True,
 ) -> None:
+    """向新会话发送初始化状态。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        user_id: 规范化后的用户 ID。
+        user_name: 当前昵称。
+        virtual_config: 虚拟身份配置。
+        include_welcome: 是否发送欢迎消息。
+    """
     await chat_manager.send_message(
         session_id,
         build_session_info_message(
@@ -290,30 +610,43 @@ async def send_initial_chat_state(
         ),
     )
 
-    if history := chat_history.get_history(50, get_active_history_group_id(virtual_config)):
-        await chat_manager.send_message(
-            session_id,
-            {
-                "type": "history",
-                "messages": history,
-            },
-        )
-
+    history_group_id = get_active_history_group_id(virtual_config)
+    history = chat_history.get_history(50, history_group_id)
     await chat_manager.send_message(
         session_id,
         {
-            "type": "system",
-            "content": build_welcome_message(virtual_config),
-            "timestamp": time.time(),
+            "type": "history",
+            "messages": history,
+            "group_id": get_current_group_id(virtual_config),
         },
     )
 
+    if include_welcome:
+        await chat_manager.send_message(
+            session_id,
+            {
+                "type": "system",
+                "content": build_welcome_message(virtual_config),
+                "timestamp": time.time(),
+            },
+        )
+
 
 def resolve_sender_identity(
     current_user_name: str,
     normalized_user_id: str,
     virtual_config: Optional[VirtualIdentityConfig],
 ) -> Tuple[str, str]:
+    """解析当前发送者身份。
+
+    Args:
+        current_user_name: 当前昵称。
+        normalized_user_id: 规范化后的用户 ID。
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        Tuple[str, str]: ``(发送者昵称, 发送者用户 ID)``。
+    """
     if is_virtual_mode_enabled(virtual_config):
         assert virtual_config is not None
         return virtual_config.user_nickname or current_user_name, virtual_config.user_id or normalized_user_id
@@ -328,6 +661,19 @@ def create_message_data(
     is_at_bot: bool = True,
     virtual_config: Optional[VirtualIdentityConfig] = None,
 ) -> Dict[str, Any]:
+    """构建发送给聊天核心的消息数据。
+
+    Args:
+        content: 文本内容。
+        user_id: 用户 ID。
+        user_name: 用户昵称。
+        message_id: 消息 ID。
+        is_at_bot: 是否默认艾特机器人。
+        virtual_config: 虚拟身份配置。
+
+    Returns:
+        Dict[str, Any]: 聊天核心可处理的消息数据。
+    """
     if message_id is None:
         message_id = str(uuid.uuid4())
 
@@ -389,6 +735,18 @@ async def handle_chat_message(
     normalized_user_id: str,
     current_virtual_config: Optional[VirtualIdentityConfig],
 ) -> str:
+    """处理用户发送的聊天消息。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        data: 前端提交的消息数据。
+        current_user_name: 当前昵称。
+        normalized_user_id: 规范化后的用户 ID。
+        current_virtual_config: 当前虚拟身份配置。
+
+    Returns:
+        str: 处理后的最新昵称。
+    """
     content = str(data.get("content", "")).strip()
     if not content:
         return current_user_name
@@ -401,11 +759,14 @@ async def handle_chat_message(
         normalized_user_id=normalized_user_id,
         virtual_config=current_virtual_config,
     )
+    target_group_id = get_current_group_id(current_virtual_config)
 
-    await chat_manager.broadcast(
+    await chat_manager.broadcast_to_group(
+        target_group_id,
         {
             "type": "user_message",
             "content": content,
+            "group_id": target_group_id,
             "message_id": message_id,
             "timestamp": timestamp,
             "sender": {
@@ -414,7 +775,7 @@ async def handle_chat_message(
                 "is_bot": False,
             },
             "virtual_mode": is_virtual_mode_enabled(current_virtual_config),
-        }
+        },
     )
 
     message_data = create_message_data(
@@ -427,22 +788,37 @@ async def handle_chat_message(
     )
 
     try:
-        await chat_manager.broadcast({"type": "typing", "is_typing": True})
+        await chat_manager.broadcast_to_group(target_group_id, {"type": "typing", "is_typing": True})
         await chat_bot.message_process(message_data)
-    except Exception as e:
-        logger.error(f"处理消息时出错: {e}")
-        await send_chat_error(session_id, f"处理消息时出错: {str(e)}")
+    except Exception as exc:
+        logger.error(f"处理消息时出错: {exc}")
+        await send_chat_error(session_id, f"处理消息时出错: {str(exc)}")
     finally:
-        await chat_manager.broadcast({"type": "typing", "is_typing": False})
+        await chat_manager.broadcast_to_group(target_group_id, {"type": "typing", "is_typing": False})
 
     return next_user_name
 
 
 async def handle_chat_ping(session_id: str) -> None:
+    """处理聊天心跳。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+    """
     await chat_manager.send_message(session_id, {"type": "pong", "timestamp": time.time()})
 
 
 async def handle_nickname_update(session_id: str, data: Dict[str, Any], current_user_name: str) -> str:
+    """处理昵称更新请求。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        data: 前端提交的数据。
+        current_user_name: 当前昵称。
+
+    Returns:
+        str: 更新后的昵称。
+    """
     new_name = str(data.get("user_name", "")).strip()
     if not new_name:
         return current_user_name
@@ -463,6 +839,16 @@ async def enable_virtual_identity(
     session_prefix: str,
     virtual_data: Dict[str, Any],
 ) -> Optional[VirtualIdentityConfig]:
+    """启用虚拟身份模式。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        session_prefix: 会话前缀，用于生成默认群组 ID。
+        virtual_data: 前端提交的虚拟身份配置。
+
+    Returns:
+        Optional[VirtualIdentityConfig]: 启用成功时返回新的虚拟身份配置。
+    """
     if not virtual_data.get("platform") or not virtual_data.get("person_id"):
         await send_chat_error(session_id, "虚拟身份配置缺少必要字段: platform 和 person_id")
         return None
@@ -470,16 +856,18 @@ async def enable_virtual_identity(
     person_id_value = str(virtual_data.get("person_id"))
     try:
         person = get_person_by_person_id(person_id_value)
-        if not person:
+        if person is None:
             await send_chat_error(session_id, f"找不到用户: {person_id_value}")
             return None
 
-        custom_group_id = virtual_data.get("group_id")
-        current_group_id = (
-            f"{VIRTUAL_GROUP_ID_PREFIX}{custom_group_id}"
-            if custom_group_id
-            else f"{VIRTUAL_GROUP_ID_PREFIX}{session_prefix}"
-        )
+        custom_group_id = str(virtual_data.get("group_id") or "").strip()
+        if custom_group_id:
+            current_group_id = custom_group_id
+            if not current_group_id.startswith(VIRTUAL_GROUP_ID_PREFIX):
+                current_group_id = f"{VIRTUAL_GROUP_ID_PREFIX}{current_group_id}"
+        else:
+            current_group_id = f"{VIRTUAL_GROUP_ID_PREFIX}{session_prefix}"
+
         current_virtual_config = build_virtual_identity_config(
             person=person,
             group_id=current_group_id,
@@ -521,13 +909,18 @@ async def enable_virtual_identity(
             },
         )
         return current_virtual_config
-    except Exception as e:
-        logger.error(f"设置虚拟身份失败: {e}")
-        await send_chat_error(session_id, f"设置虚拟身份失败: {str(e)}")
+    except Exception as exc:
+        logger.error(f"设置虚拟身份失败: {exc}")
+        await send_chat_error(session_id, f"设置虚拟身份失败: {str(exc)}")
         return None
 
 
 async def disable_virtual_identity(session_id: str) -> None:
+    """关闭虚拟身份模式。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+    """
     await chat_manager.send_message(
         session_id,
         {
@@ -560,7 +953,18 @@ async def handle_virtual_identity_update(
     data: Dict[str, Any],
     current_virtual_config: Optional[VirtualIdentityConfig],
 ) -> Optional[VirtualIdentityConfig]:
-    virtual_data = cast(dict[str, Any], data.get("config", {}))
+    """处理虚拟身份切换请求。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        session_id_prefix: 会话前缀。
+        data: 前端提交的数据。
+        current_virtual_config: 当前虚拟身份配置。
+
+    Returns:
+        Optional[VirtualIdentityConfig]: 更新后的虚拟身份配置。
+    """
+    virtual_data = cast(Dict[str, Any], data.get("config", {}))
     if virtual_data.get("enabled"):
         next_config = await enable_virtual_identity(session_id, session_id_prefix, virtual_data)
         return next_config if next_config is not None else current_virtual_config
@@ -577,6 +981,19 @@ async def dispatch_chat_event(
     normalized_user_id: str,
     current_virtual_config: Optional[VirtualIdentityConfig],
 ) -> Tuple[str, Optional[VirtualIdentityConfig]]:
+    """分发聊天事件到对应的处理器。
+
+    Args:
+        session_id: 内部逻辑会话 ID。
+        session_id_prefix: 会话前缀。
+        data: 前端提交的数据。
+        current_user_name: 当前昵称。
+        normalized_user_id: 规范化后的用户 ID。
+        current_virtual_config: 当前虚拟身份配置。
+
+    Returns:
+        Tuple[str, Optional[VirtualIdentityConfig]]: ``(最新昵称, 最新虚拟身份配置)``。
+    """
     event_type = data.get("type")
     if event_type == "message":
         next_user_name = await handle_chat_message(

src/webui/routers/plugin/progress.py

@@ -1,12 +1,15 @@
+"""插件进度实时推送支持。"""
+
+from typing import Any, Dict, Optional, Set
 import asyncio
 import json
-from typing import Any, Dict, Optional, Set
 
 from fastapi import APIRouter, Query, WebSocket, WebSocketDisconnect
 
 from src.common.logger import get_logger
 from src.webui.core import get_token_manager
 from src.webui.routers.websocket.auth import verify_ws_token
+from src.webui.routers.websocket.manager import websocket_manager
 
 logger = get_logger("webui.plugin_progress")
 
@@ -25,25 +28,29 @@ current_progress: Dict[str, Any] = {
 }
 
 
+def get_current_progress() -> Dict[str, Any]:
+    """获取当前插件进度快照。
+
+    Returns:
+        Dict[str, Any]: 当前插件进度数据副本。
+    """
+    return current_progress.copy()
+
+
 async def broadcast_progress(progress_data: Dict[str, Any]) -> None:
+    """向统一连接层广播插件进度更新。
+
+    Args:
+        progress_data: 插件进度数据。
+    """
     global current_progress
     current_progress = progress_data.copy()
-
-    if not active_connections:
-        return
-
-    message = json.dumps(progress_data, ensure_ascii=False)
-    disconnected: Set[WebSocket] = set()
-
-    for websocket in active_connections:
-        try:
-            await websocket.send_text(message)
-        except Exception as e:
-            logger.error(f"发送进度更新失败: {e}")
-            disconnected.add(websocket)
-
-    for websocket in disconnected:
-        active_connections.discard(websocket)
+    await websocket_manager.broadcast_to_topic(
+        domain="plugin_progress",
+        topic="main",
+        event="update",
+        data={"progress": progress_data},
+    )
 
 
 async def update_progress(
@@ -56,6 +63,18 @@ async def update_progress(
     total_plugins: int = 0,
     loaded_plugins: int = 0,
 ) -> None:
+    """更新当前插件进度并广播。
+
+    Args:
+        stage: 当前阶段。
+        progress: 当前进度百分比。
+        message: 进度说明消息。
+        operation: 当前操作类型。
+        error: 可选的错误信息。
+        plugin_id: 当前处理的插件 ID。
+        total_plugins: 总插件数量。
+        loaded_plugins: 已处理插件数量。
+    """
     progress_data = {
         "operation": operation,
         "stage": stage,
@@ -74,6 +93,12 @@ async def update_progress(
 
 @router.websocket("/ws/plugin-progress")
 async def websocket_plugin_progress(websocket: WebSocket, token: Optional[str] = Query(None)) -> None:
+    """旧版插件进度 WebSocket 入口。
+
+    Args:
+        websocket: FastAPI WebSocket 对象。
+        token: 可选的一次性握手 Token。
+    """
     is_authenticated = False
 
     if token and verify_ws_token(token):
@@ -105,17 +130,22 @@ async def websocket_plugin_progress(websocket: WebSocket, token: Optional[str] =
                 data = await websocket.receive_text()
                 if data == "ping":
                     await websocket.send_text("pong")
-            except Exception as e:
-                logger.error(f"处理客户端消息时出错: {e}")
+            except Exception as exc:
+                logger.error(f"处理客户端消息时出错: {exc}")
                 break
 
     except WebSocketDisconnect:
         active_connections.discard(websocket)
         logger.info(f"📡 插件进度 WebSocket 客户端已断开，当前连接数: {len(active_connections)}")
-    except Exception as e:
-        logger.error(f"❌ WebSocket 错误: {e}")
+    except Exception as exc:
+        logger.error(f"❌ WebSocket 错误: {exc}")
         active_connections.discard(websocket)
 
 
 def get_progress_router() -> APIRouter:
+    """获取旧版插件进度路由对象。
+
+    Returns:
+        APIRouter: 插件进度路由对象。
+    """
     return router

src/webui/routers/websocket/__init__.py

@@ -1,7 +1,9 @@
+"""WebSocket 路由聚合导出。"""
+
 from .auth import router as ws_auth_router
-from .logs import router as logs_router
+from .unified import router as unified_ws_router
 
 __all__ = [
-    "logs_router",
+    "unified_ws_router",
     "ws_auth_router",
 ]

src/webui/routers/websocket/logs.py

@@ -1,11 +0,0 @@
-"""WebSocket 日志推送路由兼容导出。"""
-
-from src.webui.logs_ws import active_connections, broadcast_log, load_recent_logs, router, websocket_logs
-
-__all__ = [
-    "active_connections",
-    "broadcast_log",
-    "load_recent_logs",
-    "router",
-    "websocket_logs",
-]

src/webui/routers/websocket/manager.py

@@ -0,0 +1,297 @@
+"""统一 WebSocket 连接管理器。"""
+
+import asyncio
+from dataclasses import dataclass, field
+from typing import Any, Dict, Optional, Set
+
+from fastapi import WebSocket
+
+from src.common.logger import get_logger
+
+logger = get_logger("webui.websocket")
+
+
+@dataclass
+class WebSocketConnection:
+    """统一 WebSocket 连接上下文。"""
+
+    connection_id: str
+    websocket: WebSocket
+    subscriptions: Set[str] = field(default_factory=set)
+    chat_sessions: Dict[str, str] = field(default_factory=dict)
+    send_queue: "asyncio.Queue[Optional[Dict[str, Any]]]" = field(default_factory=asyncio.Queue)
+    sender_task: Optional["asyncio.Task[None]"] = None
+
+
+class UnifiedWebSocketManager:
+    """统一 WebSocket 连接管理器。"""
+
+    def __init__(self) -> None:
+        """初始化统一 WebSocket 连接管理器。"""
+        self.connections: Dict[str, WebSocketConnection] = {}
+
+    def _build_subscription_key(self, domain: str, topic: str) -> str:
+        """构建订阅索引键。
+
+        Args:
+            domain: 业务域名称。
+            topic: 主题名称。
+
+        Returns:
+            str: 订阅索引键。
+        """
+        return f"{domain}:{topic}"
+
+    async def _sender_loop(self, connection: WebSocketConnection) -> None:
+        """串行发送指定连接的出站消息。
+
+        Args:
+            connection: 目标连接上下文。
+        """
+        try:
+            while True:
+                message = await connection.send_queue.get()
+                if message is None:
+                    return
+                await connection.websocket.send_json(message)
+        except asyncio.CancelledError:
+            raise
+        except Exception as exc:
+            logger.error("统一 WebSocket 发送失败: connection=%s, error=%s", connection.connection_id, exc)
+
+    async def connect(self, connection_id: str, websocket: WebSocket) -> WebSocketConnection:
+        """注册一个新的物理 WebSocket 连接。
+
+        Args:
+            connection_id: 连接 ID。
+            websocket: FastAPI WebSocket 对象。
+
+        Returns:
+            WebSocketConnection: 新建的连接上下文。
+        """
+        await websocket.accept()
+        connection = WebSocketConnection(connection_id=connection_id, websocket=websocket)
+        connection.sender_task = asyncio.create_task(self._sender_loop(connection))
+        self.connections[connection_id] = connection
+        return connection
+
+    async def disconnect(self, connection_id: str) -> None:
+        """断开并清理指定连接。
+
+        Args:
+            connection_id: 连接 ID。
+        """
+        connection = self.connections.pop(connection_id, None)
+        if connection is None:
+            return
+
+        await connection.send_queue.put(None)
+        if connection.sender_task is not None:
+            try:
+                await connection.sender_task
+            except asyncio.CancelledError:
+                pass
+            except Exception as exc:
+                logger.debug("等待发送协程退出时出现异常: connection=%s, error=%s", connection_id, exc)
+
+    def get_connection(self, connection_id: str) -> Optional[WebSocketConnection]:
+        """获取指定连接上下文。
+
+        Args:
+            connection_id: 连接 ID。
+
+        Returns:
+            Optional[WebSocketConnection]: 找到时返回连接上下文。
+        """
+        return self.connections.get(connection_id)
+
+    def register_chat_session(self, connection_id: str, client_session_id: str, session_id: str) -> None:
+        """登记连接下的逻辑聊天会话。
+
+        Args:
+            connection_id: 连接 ID。
+            client_session_id: 前端会话 ID。
+            session_id: 内部会话 ID。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return
+        connection.chat_sessions[client_session_id] = session_id
+
+    def unregister_chat_session(self, connection_id: str, client_session_id: str) -> None:
+        """移除连接下的逻辑聊天会话登记。
+
+        Args:
+            connection_id: 连接 ID。
+            client_session_id: 前端会话 ID。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return
+        connection.chat_sessions.pop(client_session_id, None)
+
+    def get_chat_session_id(self, connection_id: str, client_session_id: str) -> Optional[str]:
+        """查询连接下的内部聊天会话 ID。
+
+        Args:
+            connection_id: 连接 ID。
+            client_session_id: 前端会话 ID。
+
+        Returns:
+            Optional[str]: 找到时返回内部会话 ID。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return None
+        return connection.chat_sessions.get(client_session_id)
+
+    def subscribe(self, connection_id: str, domain: str, topic: str) -> None:
+        """登记连接的主题订阅。
+
+        Args:
+            connection_id: 连接 ID。
+            domain: 业务域名称。
+            topic: 主题名称。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return
+        connection.subscriptions.add(self._build_subscription_key(domain, topic))
+
+    def unsubscribe(self, connection_id: str, domain: str, topic: str) -> None:
+        """移除连接的主题订阅。
+
+        Args:
+            connection_id: 连接 ID。
+            domain: 业务域名称。
+            topic: 主题名称。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return
+        connection.subscriptions.discard(self._build_subscription_key(domain, topic))
+
+    def is_subscribed(self, connection_id: str, domain: str, topic: str) -> bool:
+        """判断连接是否订阅了指定主题。
+
+        Args:
+            connection_id: 连接 ID。
+            domain: 业务域名称。
+            topic: 主题名称。
+
+        Returns:
+            bool: 已订阅时返回 ``True``。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return False
+        return self._build_subscription_key(domain, topic) in connection.subscriptions
+
+    async def enqueue(self, connection_id: str, message: Dict[str, Any]) -> None:
+        """向指定连接的发送队列压入消息。
+
+        Args:
+            connection_id: 连接 ID。
+            message: 待发送的消息。
+        """
+        connection = self.connections.get(connection_id)
+        if connection is None:
+            return
+        await connection.send_queue.put(message)
+
+    async def send_response(
+        self,
+        connection_id: str,
+        request_id: Optional[str],
+        ok: bool,
+        data: Optional[Dict[str, Any]] = None,
+        error: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """发送统一响应消息。
+
+        Args:
+            connection_id: 连接 ID。
+            request_id: 请求 ID。
+            ok: 请求是否成功。
+            data: 成功响应数据。
+            error: 失败响应数据。
+        """
+        response_message: Dict[str, Any] = {
+            "op": "response",
+            "id": request_id,
+            "ok": ok,
+        }
+        if data is not None:
+            response_message["data"] = data
+        if error is not None:
+            response_message["error"] = error
+        await self.enqueue(connection_id, response_message)
+
+    async def send_event(
+        self,
+        connection_id: str,
+        domain: str,
+        event: str,
+        data: Dict[str, Any],
+        session: Optional[str] = None,
+        topic: Optional[str] = None,
+    ) -> None:
+        """发送统一事件消息。
+
+        Args:
+            connection_id: 连接 ID。
+            domain: 业务域名称。
+            event: 事件名称。
+            data: 事件数据。
+            session: 可选的逻辑会话 ID。
+            topic: 可选的主题名称。
+        """
+        event_message: Dict[str, Any] = {
+            "op": "event",
+            "domain": domain,
+            "event": event,
+            "data": data,
+        }
+        if session is not None:
+            event_message["session"] = session
+        if topic is not None:
+            event_message["topic"] = topic
+        await self.enqueue(connection_id, event_message)
+
+    async def send_pong(self, connection_id: str, timestamp: float) -> None:
+        """发送心跳响应。
+
+        Args:
+            connection_id: 连接 ID。
+            timestamp: 当前时间戳。
+        """
+        await self.enqueue(
+            connection_id,
+            {
+                "op": "pong",
+                "ts": timestamp,
+            },
+        )
+
+    async def broadcast_to_topic(self, domain: str, topic: str, event: str, data: Dict[str, Any]) -> None:
+        """向订阅指定主题的全部连接广播事件。
+
+        Args:
+            domain: 业务域名称。
+            topic: 主题名称。
+            event: 事件名称。
+            data: 事件数据。
+        """
+        subscription_key = self._build_subscription_key(domain, topic)
+        for connection in list(self.connections.values()):
+            if subscription_key in connection.subscriptions:
+                await self.send_event(
+                    connection.connection_id,
+                    domain=domain,
+                    event=event,
+                    data=data,
+                    topic=topic,
+                )
+
+
+websocket_manager = UnifiedWebSocketManager()

src/webui/routers/websocket/unified.py

@@ -0,0 +1,548 @@
+"""统一 WebSocket 路由。"""
+
+from typing import Any, Dict, Optional, Set, cast
+import asyncio
+import time
+import uuid
+
+from fastapi import APIRouter, Query, WebSocket, WebSocketDisconnect
+
+from src.common.logger import get_logger
+from src.webui.core import get_token_manager
+from src.webui.logs_ws import load_recent_logs
+from src.webui.routers.chat.service import (
+    chat_manager,
+    dispatch_chat_event,
+    normalize_webui_user_id,
+    resolve_initial_virtual_identity,
+    send_initial_chat_state,
+)
+from src.webui.routers.plugin.progress import get_current_progress
+from src.webui.routers.websocket.auth import verify_ws_token
+from src.webui.routers.websocket.manager import websocket_manager
+
+logger = get_logger("webui.unified_ws")
+router = APIRouter()
+_background_tasks: Set["asyncio.Task[None]"] = set()
+
+
+def _build_error(code: str, message: str) -> Dict[str, Any]:
+    """构建统一错误响应体。
+
+    Args:
+        code: 错误码。
+        message: 错误描述。
+
+    Returns:
+        Dict[str, Any]: 统一错误对象。
+    """
+    return {
+        "code": code,
+        "message": message,
+    }
+
+
+def _get_request_data(message: Dict[str, Any]) -> Dict[str, Any]:
+    """从客户端消息中提取数据字段。
+
+    Args:
+        message: 客户端消息。
+
+    Returns:
+        Dict[str, Any]: 标准化后的数据字典。
+    """
+    data = message.get("data", {})
+    if isinstance(data, dict):
+        return cast(Dict[str, Any], data)
+    return {}
+
+
+def _track_background_task(task: "asyncio.Task[None]") -> None:
+    """登记后台任务并在完成后自动清理。
+
+    Args:
+        task: 后台协程任务。
+    """
+    _background_tasks.add(task)
+    task.add_done_callback(_background_tasks.discard)
+
+
+async def authenticate_websocket_connection(websocket: WebSocket, token: Optional[str]) -> bool:
+    """校验统一 WebSocket 连接的认证状态。
+
+    Args:
+        websocket: FastAPI WebSocket 对象。
+        token: 可选的一次性握手 Token。
+
+    Returns:
+        bool: 认证通过时返回 ``True``。
+    """
+    if token and verify_ws_token(token):
+        logger.debug("统一 WebSocket 使用临时 token 认证成功")
+        return True
+
+    cookie_token = websocket.cookies.get("maibot_session")
+    if cookie_token:
+        token_manager = get_token_manager()
+        if token_manager.verify_token(cookie_token):
+            logger.debug("统一 WebSocket 使用 Cookie 认证成功")
+            return True
+
+    return False
+
+
+async def _handle_logs_subscribe(connection_id: str, request_id: Optional[str], data: Dict[str, Any]) -> None:
+    """处理日志域订阅请求。
+
+    Args:
+        connection_id: 连接 ID。
+        request_id: 请求 ID。
+        data: 订阅参数。
+    """
+    replay_limit = int(data.get("replay", 100) or 100)
+    replay_limit = max(0, min(replay_limit, 500))
+    websocket_manager.subscribe(connection_id, domain="logs", topic="main")
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"domain": "logs", "topic": "main"},
+    )
+    await websocket_manager.send_event(
+        connection_id,
+        domain="logs",
+        event="snapshot",
+        topic="main",
+        data={"entries": load_recent_logs(limit=replay_limit)},
+    )
+
+
+async def _handle_plugin_progress_subscribe(connection_id: str, request_id: Optional[str]) -> None:
+    """处理插件进度域订阅请求。
+
+    Args:
+        connection_id: 连接 ID。
+        request_id: 请求 ID。
+    """
+    websocket_manager.subscribe(connection_id, domain="plugin_progress", topic="main")
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"domain": "plugin_progress", "topic": "main"},
+    )
+    await websocket_manager.send_event(
+        connection_id,
+        domain="plugin_progress",
+        event="snapshot",
+        topic="main",
+        data={"progress": get_current_progress()},
+    )
+
+
+async def _handle_subscribe(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理主题订阅请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    domain = str(message.get("domain") or "").strip()
+    topic = str(message.get("topic") or "").strip()
+    data = _get_request_data(message)
+
+    if domain == "logs" and topic == "main":
+        await _handle_logs_subscribe(connection_id, request_id, data)
+        return
+
+    if domain == "plugin_progress" and topic == "main":
+        await _handle_plugin_progress_subscribe(connection_id, request_id)
+        return
+
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=False,
+        error=_build_error("unsupported_subscription", f"不支持的订阅目标: {domain}:{topic}"),
+    )
+
+
+async def _handle_unsubscribe(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理主题退订请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    domain = str(message.get("domain") or "").strip()
+    topic = str(message.get("topic") or "").strip()
+
+    if not domain or not topic:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("invalid_unsubscribe", "退订请求缺少 domain 或 topic"),
+        )
+        return
+
+    websocket_manager.unsubscribe(connection_id, domain=domain, topic=topic)
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"domain": domain, "topic": topic},
+    )
+
+
+async def _open_chat_session(connection_id: str, message: Dict[str, Any]) -> None:
+    """打开一个逻辑聊天会话。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    client_session_id = str(message.get("session") or "").strip()
+    if not client_session_id:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("missing_session", "聊天会话打开请求缺少 session"),
+        )
+        return
+
+    data = _get_request_data(message)
+    normalized_user_id = normalize_webui_user_id(cast(Optional[str], data.get("user_id")))
+    current_user_name = str(data.get("user_name") or "WebUI用户")
+    current_virtual_config = resolve_initial_virtual_identity(
+        platform=cast(Optional[str], data.get("platform")),
+        person_id=cast(Optional[str], data.get("person_id")),
+        group_name=cast(Optional[str], data.get("group_name")),
+        group_id=cast(Optional[str], data.get("group_id")),
+    )
+    restore = bool(data.get("restore"))
+    session_id = f"{connection_id}:{client_session_id}"
+
+    async def send_chat_event(chat_message: Dict[str, Any]) -> None:
+        """将聊天消息封装为统一事件并发送。
+
+        Args:
+            chat_message: 聊天消息体。
+        """
+        event_name = str(chat_message.get("type") or "message")
+        await websocket_manager.send_event(
+            connection_id,
+            domain="chat",
+            event=event_name,
+            session=client_session_id,
+            data=chat_message,
+        )
+
+    await chat_manager.connect(
+        session_id=session_id,
+        connection_id=connection_id,
+        client_session_id=client_session_id,
+        user_id=normalized_user_id,
+        user_name=current_user_name,
+        virtual_config=current_virtual_config,
+        sender=send_chat_event,
+    )
+    websocket_manager.register_chat_session(connection_id, client_session_id, session_id)
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"session": client_session_id, "session_id": session_id},
+    )
+    await send_initial_chat_state(
+        session_id=session_id,
+        user_id=normalized_user_id,
+        user_name=current_user_name,
+        virtual_config=current_virtual_config,
+        include_welcome=not restore,
+    )
+
+
+async def _close_chat_session(connection_id: str, message: Dict[str, Any]) -> None:
+    """关闭一个逻辑聊天会话。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    client_session_id = str(message.get("session") or "").strip()
+    session_id = websocket_manager.get_chat_session_id(connection_id, client_session_id)
+    if session_id is None:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("session_not_found", f"找不到聊天会话: {client_session_id}"),
+        )
+        return
+
+    chat_manager.disconnect(session_id)
+    websocket_manager.unregister_chat_session(connection_id, client_session_id)
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"session": client_session_id},
+    )
+
+
+async def _process_chat_message(connection_id: str, client_session_id: str, data: Dict[str, Any]) -> None:
+    """在后台处理聊天消息事件。
+
+    Args:
+        connection_id: 连接 ID。
+        client_session_id: 前端会话 ID。
+        data: 客户端提交的消息数据。
+    """
+    session_id = websocket_manager.get_chat_session_id(connection_id, client_session_id)
+    if session_id is None:
+        return
+
+    session_state = chat_manager.get_session(session_id)
+    if session_state is None:
+        return
+
+    next_user_name, next_virtual_config = await dispatch_chat_event(
+        session_id=session_id,
+        session_id_prefix=session_id[:8],
+        data=data,
+        current_user_name=session_state.user_name,
+        normalized_user_id=session_state.user_id,
+        current_virtual_config=session_state.virtual_config,
+    )
+    chat_manager.update_session_context(
+        session_id=session_id,
+        user_name=next_user_name,
+        virtual_config=next_virtual_config,
+    )
+
+
+async def _handle_chat_message_send(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理聊天消息发送请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    client_session_id = str(message.get("session") or "").strip()
+    session_id = websocket_manager.get_chat_session_id(connection_id, client_session_id)
+    if session_id is None:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("session_not_found", f"找不到聊天会话: {client_session_id}"),
+        )
+        return
+
+    data = _get_request_data(message)
+    payload = {
+        "type": "message",
+        "content": data.get("content", ""),
+        "user_name": data.get("user_name", ""),
+    }
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"accepted": True, "session": client_session_id},
+    )
+    _track_background_task(asyncio.create_task(_process_chat_message(connection_id, client_session_id, payload)))
+
+
+async def _handle_chat_nickname_update(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理聊天昵称更新请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    client_session_id = str(message.get("session") or "").strip()
+    session_id = websocket_manager.get_chat_session_id(connection_id, client_session_id)
+    if session_id is None:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("session_not_found", f"找不到聊天会话: {client_session_id}"),
+        )
+        return
+
+    data = _get_request_data(message)
+    session_state = chat_manager.get_session(session_id)
+    if session_state is None:
+        await websocket_manager.send_response(
+            connection_id,
+            request_id=request_id,
+            ok=False,
+            error=_build_error("session_not_found", f"找不到聊天会话: {client_session_id}"),
+        )
+        return
+
+    next_user_name, next_virtual_config = await dispatch_chat_event(
+        session_id=session_id,
+        session_id_prefix=session_id[:8],
+        data={
+            "type": "update_nickname",
+            "user_name": data.get("user_name", ""),
+        },
+        current_user_name=session_state.user_name,
+        normalized_user_id=session_state.user_id,
+        current_virtual_config=session_state.virtual_config,
+    )
+    chat_manager.update_session_context(
+        session_id=session_id,
+        user_name=next_user_name,
+        virtual_config=next_virtual_config,
+    )
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=True,
+        data={"session": client_session_id, "user_name": next_user_name},
+    )
+
+
+async def _handle_chat_call(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理聊天域调用请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    method = str(message.get("method") or "").strip()
+
+    if method == "session.open":
+        await _open_chat_session(connection_id, message)
+        return
+
+    if method == "session.close":
+        await _close_chat_session(connection_id, message)
+        return
+
+    if method == "message.send":
+        await _handle_chat_message_send(connection_id, message)
+        return
+
+    if method == "session.update_nickname":
+        await _handle_chat_nickname_update(connection_id, message)
+        return
+
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=False,
+        error=_build_error("unsupported_method", f"不支持的聊天方法: {method}"),
+    )
+
+
+async def _handle_call(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理统一调用请求。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    request_id = cast(Optional[str], message.get("id"))
+    domain = str(message.get("domain") or "").strip()
+    if domain == "chat":
+        await _handle_chat_call(connection_id, message)
+        return
+
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=False,
+        error=_build_error("unsupported_domain", f"不支持的调用域: {domain}"),
+    )
+
+
+async def handle_client_message(connection_id: str, message: Dict[str, Any]) -> None:
+    """处理统一 WebSocket 客户端消息。
+
+    Args:
+        connection_id: 连接 ID。
+        message: 客户端消息。
+    """
+    operation = str(message.get("op") or "").strip()
+    request_id = cast(Optional[str], message.get("id"))
+
+    if operation == "ping":
+        await websocket_manager.send_pong(connection_id, time.time())
+        return
+
+    if operation == "subscribe":
+        await _handle_subscribe(connection_id, message)
+        return
+
+    if operation == "unsubscribe":
+        await _handle_unsubscribe(connection_id, message)
+        return
+
+    if operation == "call":
+        await _handle_call(connection_id, message)
+        return
+
+    await websocket_manager.send_response(
+        connection_id,
+        request_id=request_id,
+        ok=False,
+        error=_build_error("unsupported_operation", f"不支持的操作: {operation}"),
+    )
+
+
+@router.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket, token: Optional[str] = Query(None)) -> None:
+    """统一 WebSocket 入口。
+
+    Args:
+        websocket: FastAPI WebSocket 对象。
+        token: 可选的一次性握手 Token。
+    """
+    if not await authenticate_websocket_connection(websocket, token):
+        logger.warning("统一 WebSocket 连接被拒绝：认证失败")
+        await websocket.close(code=4001, reason="认证失败，请重新登录")
+        return
+
+    connection_id = uuid.uuid4().hex
+    await websocket_manager.connect(connection_id=connection_id, websocket=websocket)
+    logger.info("统一 WebSocket 客户端已连接: connection=%s", connection_id)
+    await websocket_manager.send_event(
+        connection_id,
+        domain="system",
+        event="ready",
+        data={"connection_id": connection_id, "timestamp": time.time()},
+    )
+
+    try:
+        while True:
+            raw_message = await websocket.receive_json()
+            if not isinstance(raw_message, dict):
+                await websocket_manager.send_response(
+                    connection_id,
+                    request_id=None,
+                    ok=False,
+                    error=_build_error("invalid_message", "消息必须是 JSON 对象"),
+                )
+                continue
+            await handle_client_message(connection_id, cast(Dict[str, Any], raw_message))
+    except WebSocketDisconnect:
+        logger.info("统一 WebSocket 客户端已断开: connection=%s", connection_id)
+    except Exception as exc:
+        logger.error(f"统一 WebSocket 处理失败: {exc}")
+    finally:
+        chat_manager.disconnect_connection(connection_id)
+        await websocket_manager.disconnect(connection_id)

src/webui/routes.py

@@ -18,11 +18,11 @@ from src.webui.routers.expression import router as expression_router
 from src.webui.routers.jargon import router as jargon_router
 from src.webui.routers.model import router as model_router
 from src.webui.routers.person import router as person_router
-from src.webui.routers.plugin import get_progress_router
 from src.webui.routers.plugin import router as plugin_router
 from src.webui.routers.statistics import router as statistics_router
 from src.webui.routers.system import router as system_router
 from src.webui.routers.websocket.auth import router as ws_auth_router
+from src.webui.routers.websocket.unified import router as unified_ws_router
 
 logger = get_logger("webui.api")
 
@@ -43,14 +43,14 @@ router.include_router(jargon_router)
 router.include_router(emoji_router)
 # 注册插件管理路由
 router.include_router(plugin_router)
-# 注册插件进度 WebSocket 路由
-router.include_router(get_progress_router())
 # 注册系统控制路由
 router.include_router(system_router)
 # 注册模型列表获取路由
 router.include_router(model_router)
 # 注册 WebSocket 认证路由
 router.include_router(ws_auth_router)
+# 注册统一 WebSocket 路由
+router.include_router(unified_ws_router)
 
 
 class TokenVerifyRequest(BaseModel):