release: v3.5.3.2

在 gewechat, wecom 等消息平台没启动成功的情况下重启bot会报错

.github/PULL_REQUEST_TEMPLATE.md

@@ -8,3 +8,7 @@
 ### Modifications
 
 <!--简单解释你的改动-->
+
+### Check
+- [ ] 我的 Commit Message 符合良好的[规范](https://www.conventionalcommits.org/en/v1.0.0/#summary)
+- [ ] 我新增/修复/优化的功能经过良好的测试

README.md

@@ -16,6 +16,8 @@ _✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_
 <a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="Static Badge" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
 [![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg?style=for-the-badge&color=76bad9)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B4%BB%E8%B7%83%E9%87%8F&cacheSeconds=10800&style=for-the-badge&color=3b618e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=7200)
+
 
 <a href="https://github.com/Soulter/AstrBot/blob/master/README_en.md">English</a> ｜
 <a href="https://github.com/Soulter/AstrBot/blob/master/README_ja.md">日本語</a> ｜

astrbot/api/provider/__init__.py

@@ -1,5 +1,5 @@
 from astrbot.core.provider import Provider, STTProvider, Personality
-from astrbot.core.provider.entites import (
+from astrbot.core.provider.entities import (
     ProviderRequest,
     ProviderType,
     ProviderMetaData,

astrbot/core/config/default.py

@@ -2,7 +2,7 @@
 如需修改配置，请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。
 """
 
-VERSION = "3.5.2"
+VERSION = "3.5.3.2"
 DB_PATH = "data/data_v3.db"
 
 # 默认配置
@@ -50,6 +50,8 @@ DEFAULT_CONFIG = {
         "default_personality": "default",
         "prompt_prefix": "",
         "max_context_length": -1,
+        "dequeue_context_length": 1,
+        "streaming_response": False,
     },
     "provider_stt_settings": {
         "enable": False,
@@ -247,6 +249,9 @@ CONFIG_METADATA_2 = {
                 "description": "平台设置",
                 "type": "object",
                 "items": {
+                    "plugin_enable": {
+                        "invisible": True,  # 隐藏插件启用配置
+                    },
                     "unique_session": {
                         "description": "会话隔离",
                         "type": "bool",
@@ -923,8 +928,8 @@ CONFIG_METADATA_2 = {
                     "dify_api_type": {
                         "description": "Dify 应用类型",
                         "type": "string",
-                        "hint": "Dify API 类型。根据 Dify 官网，目前支持 chat, agent, workflow 三种应用类型",
-                        "options": ["chat", "agent", "workflow"],
+                        "hint": "Dify API 类型。根据 Dify 官网，目前支持 chat, chatflow, agent, workflow 三种应用类型。",
+                        "options": ["chat", "chatflow", "agent", "workflow"],
                     },
                     "dify_workflow_output_key": {
                         "description": "Dify Workflow 输出变量名",
@@ -993,6 +998,16 @@ CONFIG_METADATA_2 = {
                         "type": "int",
                         "hint": "超出这个数量时将丢弃最旧的部分，用户和AI的一轮聊天记为 1 条。-1 表示不限制，默认为不限制。",
                     },
+                    "dequeue_context_length": {
+                        "description": "丢弃对话数量(条)",
+                        "type": "int",
+                        "hint": "超出 最多携带对话数量(条) 时，丢弃多少条记录，用户和AI的一轮聊天记为 1 条。适宜的配置，可以提高超长上下文对话 deepseek 命中缓存效果，理想情况下计费将降低到1/3以下",
+                    },
+                    "streaming_response": {
+                        "description": "启用流式回复",
+                        "type": "bool",
+                        "hint": "启用后，将会流式输出 LLM 的响应。目前仅支持 OpenAI API提供商 以及 Telegram、QQ Official 私聊 两个平台",
+                    },
                 },
             },
             "persona": {

astrbot/core/conversation_mgr.py

@@ -175,7 +175,15 @@ class ConversationManager:
             if record["role"] == "user":
                 temp_contexts.append(f"User: {record['content']}")
             elif record["role"] == "assistant":
-                temp_contexts.append(f"Assistant: {record['content']}")
+                if "content" in record and record["content"]:
+                    temp_contexts.append(f"Assistant: {record['content']}")
+                elif "tool_calls" in record:
+                    tool_calls_str = json.dumps(
+                        record["tool_calls"], ensure_ascii=False
+                    )
+                    temp_contexts.append(f"Assistant: [函数调用] {tool_calls_str}")
+                else:
+                    temp_contexts.append("Assistant: [未知的内容]")
                 contexts.insert(0, temp_contexts)
                 temp_contexts = []
 

astrbot/core/log.py

@@ -141,11 +141,13 @@ class LogQueueHandler(logging.Handler):
             record (logging.LogRecord): 日志记录对象, 包含日志信息
         """
         log_entry = self.format(record)
-        self.log_broker.publish({
-            "level": record.levelname,
-            "time": record.asctime,
-            "data": log_entry,
-        })
+        self.log_broker.publish(
+            {
+                "level": record.levelname,
+                "time": record.asctime,
+                "data": log_entry,
+            }
+        )
 
 
 class LogManager:

astrbot/core/message/message_event_result.py

@@ -1,6 +1,6 @@
 import enum
 
-from typing import List, Optional, Union
+from typing import List, Optional, Union, AsyncGenerator
 from dataclasses import dataclass, field
 from astrbot.core.message.components import (
     BaseMessageComponent,
@@ -111,6 +111,30 @@ class MessageChain:
         """获取纯文本消息。这个方法将获取 chain 中所有 Plain 组件的文本并拼接成一条消息。空格分隔。"""
         return " ".join([comp.text for comp in self.chain if isinstance(comp, Plain)])
 
+    def squash_plain(self):
+        """将消息链中的所有 Plain 消息段聚合到第一个 Plain 消息段中。"""
+        if not self.chain:
+            return
+
+        new_chain = []
+        first_plain = None
+        plain_texts = []
+
+        for comp in self.chain:
+            if isinstance(comp, Plain):
+                if first_plain is None:
+                    first_plain = comp
+                    new_chain.append(comp)
+                plain_texts.append(comp.text)
+            else:
+                new_chain.append(comp)
+
+        if first_plain is not None:
+            first_plain.text = "".join(plain_texts)
+
+        self.chain = new_chain
+        return self
+
 
 class EventResultType(enum.Enum):
     """用于描述事件处理的结果类型。
@@ -131,6 +155,10 @@ class ResultContentType(enum.Enum):
     """调用 LLM 产生的结果"""
     GENERAL_RESULT = enum.auto()
     """普通的消息结果"""
+    STREAMING_RESULT = enum.auto()
+    """调用 LLM 产生的流式结果"""
+    STREAMING_FINISH= enum.auto()
+    """流式输出完成"""
 
 
 @dataclass
@@ -152,6 +180,9 @@ class MessageEventResult(MessageChain):
         default_factory=lambda: ResultContentType.GENERAL_RESULT
     )
 
+    async_stream: Optional[AsyncGenerator] = None
+    """异步流"""
+
     def stop_event(self) -> "MessageEventResult":
         """终止事件传播。"""
         self.result_type = EventResultType.STOP
@@ -168,6 +199,11 @@ class MessageEventResult(MessageChain):
         """
         return self.result_type == EventResultType.STOP
 
+    def set_async_stream(self, stream: AsyncGenerator) -> "MessageEventResult":
+        """设置异步流。"""
+        self.async_stream = stream
+        return self
+
     def set_result_content_type(self, typ: ResultContentType) -> "MessageEventResult":
         """设置事件处理的结果类型。
 

astrbot/core/pipeline/__init__.py

@@ -7,6 +7,7 @@ from .waking_check.stage import WakingCheckStage
 from .whitelist_check.stage import WhitelistCheckStage
 from .rate_limit_check.stage import RateLimitStage
 from .content_safety_check.stage import ContentSafetyCheckStage
+from .platform_compatibility.stage import PlatformCompatibilityStage
 from .preprocess_stage.stage import PreProcessStage
 from .process_stage.stage import ProcessStage
 from .result_decorate.stage import ResultDecorateStage
@@ -18,6 +19,7 @@ STAGES_ORDER = [
     "WhitelistCheckStage",  # 检查是否在群聊/私聊白名单
     "RateLimitStage",  # 检查会话是否超过频率限制
     "ContentSafetyCheckStage",  # 检查内容安全
+    "PlatformCompatibilityStage",  # 检查所有处理器的平台兼容性
     "PreProcessStage",  # 预处理
     "ProcessStage",  # 交由 Stars 处理（a.k.a 插件），或者 LLM 调用
     "ResultDecorateStage",  # 处理结果，比如添加回复前缀、t2i、转换为语音 等
@@ -29,6 +31,7 @@ __all__ = [
     "WhitelistCheckStage",
     "RateLimitStage",
     "ContentSafetyCheckStage",
+    "PlatformCompatibilityStage",
     "PreProcessStage",
     "ProcessStage",
     "ResultDecorateStage",

astrbot/core/pipeline/platform_compatibility/stage.py

@@ -0,0 +1,56 @@
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from typing import Union, AsyncGenerator
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.star.star import star_map
+from astrbot.core.star.star_handler import StarHandlerMetadata
+from astrbot.core import logger
+
+
+@register_stage
+class PlatformCompatibilityStage(Stage):
+    """检查所有处理器的平台兼容性。
+
+    这个阶段会检查所有处理器是否在当前平台启用，如果未启用则设置platform_compatible属性为False。
+    """
+
+    async def initialize(self, ctx: PipelineContext) -> None:
+        """初始化平台兼容性检查阶段
+
+        Args:
+            ctx (PipelineContext): 消息管道上下文对象, 包括配置和插件管理器
+        """
+        self.ctx = ctx
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        # 获取当前平台ID
+        platform_id = event.get_platform_id()
+
+        # 获取已激活的处理器
+        activated_handlers = event.get_extra("activated_handlers")
+        if activated_handlers is None:
+            activated_handlers = []
+
+        # 标记不兼容的处理器
+        for handler in activated_handlers:
+            if not isinstance(handler, StarHandlerMetadata):
+                continue
+            # 检查处理器是否在当前平台启用
+            enabled = handler.is_enabled_for_platform(platform_id)
+            if not enabled:
+                if handler.handler_module_path in star_map:
+                    plugin_name = star_map[handler.handler_module_path].name
+                logger.debug(
+                    f"[PlatformCompatibilityStage] 插件 {plugin_name} 在平台 {platform_id} 未启用，标记处理器 {handler.handler_name} 为平台不兼容"
+                )
+                # 设置处理器为平台不兼容状态
+                # TODO: 更好的标记方式
+                handler.platform_compatible = False
+            else:
+                # 确保处理器为平台兼容状态
+                handler.platform_compatible = True
+
+        # 更新已激活的处理器列表
+        event.set_extra("activated_handlers", activated_handlers)

astrbot/core/pipeline/process_stage/method/llm_request.py

@@ -12,11 +12,12 @@ from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import (
     MessageEventResult,
     ResultContentType,
+    MessageChain,
 )
 from astrbot.core.message.components import Image
 from astrbot.core import logger
 from astrbot.core.utils.metrics import Metric
-from astrbot.core.provider.entites import (
+from astrbot.core.provider.entities import (
     ProviderRequest,
     LLMResponse,
     ToolCallMessageSegment,
@@ -37,6 +38,13 @@ class LLMRequestSubStage(Stage):
         self.max_context_length = ctx.astrbot_config["provider_settings"][
             "max_context_length"
         ]  # int
+        self.dequeue_context_length = min(
+            max(1, ctx.astrbot_config["provider_settings"]["dequeue_context_length"]),
+            self.max_context_length - 1,
+        )  # int
+        self.streaming_response = ctx.astrbot_config["provider_settings"][
+            "streaming_response"
+        ]  # bool
 
         for bwp in self.bot_wake_prefixs:
             if self.provider_wake_prefix.startswith(bwp):
@@ -58,12 +66,16 @@ class LLMRequestSubStage(Stage):
 
         if event.get_extra("provider_request"):
             req = event.get_extra("provider_request")
-            assert isinstance(req, ProviderRequest), (
-                "provider_request 必须是 ProviderRequest 类型。"
-            )
+            assert isinstance(
+                req, ProviderRequest
+            ), "provider_request 必须是 ProviderRequest 类型。"
 
             if req.conversation:
-                req.contexts = json.loads(req.conversation.history)
+                all_contexts = json.loads(req.conversation.history)
+                req.contexts = self._process_tool_message_pairs(
+                    all_contexts, remove_tags=True
+                )
+
         else:
             req = ProviderRequest(prompt="", image_urls=[])
             if self.provider_wake_prefix:
@@ -104,8 +116,10 @@ class LLMRequestSubStage(Stage):
 
         # 执行请求 LLM 前事件钩子。
         # 装饰 system_prompt 等功能
+        # 获取当前平台ID
+        platform_id = event.get_platform_id()
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnLLMRequestEvent
+            EventType.OnLLMRequestEvent, platform_id=platform_id
         )
         for handler in handlers:
             try:
@@ -131,76 +145,135 @@ class LLMRequestSubStage(Stage):
             and len(req.contexts) // 2 > self.max_context_length
         ):
             logger.debug("上下文长度超过限制，将截断。")
-            req.contexts = req.contexts[-self.max_context_length * 2 :]
+            req.contexts = req.contexts[
+                -(self.max_context_length - self.dequeue_context_length) * 2 :
+            ]
 
         # session_id
         if not req.session_id:
             req.session_id = event.unified_msg_origin
 
-        try:
-            need_loop = True
-            while need_loop:
-                need_loop = False
-                logger.debug(f"提供商请求 Payload: {req}")
-                llm_response = await provider.text_chat(**req.__dict__)  # 请求 LLM
+        async def requesting(req: ProviderRequest):
+            try:
+                need_loop = True
+                while need_loop:
+                    need_loop = False
+                    logger.debug(f"提供商请求 Payload: {req}")
 
-                # 执行 LLM 响应后的事件钩子。
-                handlers = star_handlers_registry.get_handlers_by_event_type(
-                    EventType.OnLLMResponseEvent
-                )
-                for handler in handlers:
-                    try:
-                        logger.debug(
-                            f"hook(on_llm_response) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
-                        )
-                        await handler.handler(event, llm_response)
-                    except BaseException:
-                        logger.error(traceback.format_exc())
+                    final_llm_response = None
 
-                    if event.is_stopped():
-                        logger.info(
-                            f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
-                        )
-                        return
-
-                async for result in self._handle_llm_response(event, req, llm_response):
-                    if isinstance(result, ProviderRequest):
-                        # 有函数工具调用并且返回了结果，我们需要再次请求 LLM
-                        req = result
-                        need_loop = True
+                    if self.streaming_response:
+                        stream = provider.text_chat_stream(**req.__dict__)
+                        async for llm_response in stream:
+                            if llm_response.is_chunk:
+                                if llm_response.result_chain:
+                                    yield llm_response.result_chain  # MessageChain
+                                else:
+                                    yield MessageChain().message(
+                                        llm_response.completion_text
+                                    )
+                            else:
+                                final_llm_response = llm_response
                     else:
-                        yield
+                        final_llm_response = await provider.text_chat(
+                            **req.__dict__
+                        )  # 请求 LLM
 
-            asyncio.create_task(
-                Metric.upload(
-                    llm_tick=1,
-                    model_name=provider.get_model(),
-                    provider_type=provider.meta().type,
+                    if not final_llm_response:
+                        raise Exception("LLM response is None.")
+
+                    # 执行 LLM 响应后的事件钩子。
+                    handlers = star_handlers_registry.get_handlers_by_event_type(
+                        EventType.OnLLMResponseEvent
+                    )
+                    for handler in handlers:
+                        try:
+                            logger.debug(
+                                f"hook(on_llm_response) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                            )
+                            await handler.handler(event, final_llm_response)
+                        except BaseException:
+                            logger.error(traceback.format_exc())
+
+                        if event.is_stopped():
+                            logger.info(
+                                f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
+                            )
+                            return
+
+                    if self.streaming_response:
+                        # 流式输出的处理
+                        async for result in self._handle_llm_stream_response(
+                            event, req, final_llm_response
+                        ):
+                            if isinstance(result, ProviderRequest):
+                                # 有函数工具调用并且返回了结果，我们需要再次请求 LLM
+                                req = result
+                                need_loop = True
+                            else:
+                                yield
+                    else:
+                        # 非流式输出的处理
+                        async for result in self._handle_llm_response(
+                            event, req, final_llm_response
+                        ):
+                            if isinstance(result, ProviderRequest):
+                                # 有函数工具调用并且返回了结果，我们需要再次请求 LLM
+                                req = result
+                                need_loop = True
+                            else:
+                                yield
+
+                asyncio.create_task(
+                    Metric.upload(
+                        llm_tick=1,
+                        model_name=provider.get_model(),
+                        provider_type=provider.meta().type,
+                    )
                 )
-            )
 
-            # 保存到历史记录
-            await self._save_to_history(event, req, llm_response)
+                # 保存到历史记录
+                await self._save_to_history(event, req, final_llm_response)
 
-        except BaseException as e:
-            logger.error(traceback.format_exc())
+            except BaseException as e:
+                logger.error(traceback.format_exc())
+                event.set_result(
+                    MessageEventResult().message(
+                        f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}"
+                    )
+                )
+
+        if not self.streaming_response:
+            event.set_extra("tool_call_result", None)
+            async for _ in requesting(req):
+                yield
+        else:
             event.set_result(
-                MessageEventResult().message(
-                    f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}"
-                )
+                MessageEventResult()
+                .set_result_content_type(ResultContentType.STREAMING_RESULT)
+                .set_async_stream(requesting(req))
             )
-            return
+            # 这里使用yield来暂停当前阶段，等待流式输出完成后继续处理
+            yield
+
+            if event.get_extra("tool_call_result"):
+                event.set_result(event.get_extra("tool_call_result"))
+                event.set_extra("tool_call_result", None)
+                yield
 
     async def _handle_llm_response(
-        self, event: AstrMessageEvent, req: ProviderRequest, llm_response: LLMResponse
-    ) -> AsyncGenerator[None, None]:
-        """处理 LLM 响应。
+        self,
+        event: AstrMessageEvent,
+        req: ProviderRequest,
+        llm_response: LLMResponse,
+    ) -> AsyncGenerator[Union[None, ProviderRequest], None]:
+        """处理非流式 LLM 响应。
 
         Returns:
-            bool: 是否需要继续调用 LLM
+            AsyncGenerator[Union[None, ProviderRequest], None]: 如果返回 ProviderRequest，表示需要再次调用 LLM
 
         Yields:
-            Iterator[bool]: 将 event 交付给下一个 stage
+            Iterator[Union[None, ProviderRequest]]: 将 event 交付给下一个 stage 或者返回 ProviderRequest 表示需要再次调用 LLM
         """
         if llm_response.role == "assistant":
             # text completion
@@ -223,83 +296,152 @@ class LLMRequestSubStage(Stage):
                 )
             )
         elif llm_response.role == "tool":
-            # function calling
-            tool_call_result: list[ToolCallMessageSegment] = []
-            logger.info(
-                f"触发 {len(llm_response.tools_call_name)} 个函数调用: {llm_response.tools_call_name}"
+            # 处理函数工具调用
+            async for result in self._handle_function_tools(event, req, llm_response):
+                yield result
+
+    async def _handle_llm_stream_response(
+        self,
+        event: AstrMessageEvent,
+        req: ProviderRequest,
+        llm_response: LLMResponse,
+    ) -> AsyncGenerator[Union[None, ProviderRequest], None]:
+        """处理流式 LLM 响应。
+
+        专门用于处理流式输出完成后的响应，与非流式响应处理分离。
+
+        Returns:
+            AsyncGenerator[Union[None, ProviderRequest], None]: 如果返回 ProviderRequest，表示需要再次调用 LLM
+
+        Yields:
+            Iterator[Union[None, ProviderRequest]]: 将 event 交付给下一个 stage 或者返回 ProviderRequest 表示需要再次调用 LLM
+        """
+        if llm_response.role == "assistant":
+            # text completion
+            if llm_response.result_chain:
+                event.set_result(
+                    MessageEventResult(
+                        chain=llm_response.result_chain.chain
+                    ).set_result_content_type(ResultContentType.STREAMING_FINISH)
+                )
+            else:
+                event.set_result(
+                    MessageEventResult()
+                    .message(llm_response.completion_text)
+                    .set_result_content_type(ResultContentType.STREAMING_FINISH)
+                )
+        elif llm_response.role == "err":
+            event.set_result(
+                MessageEventResult().message(
+                    f"AstrBot 请求失败。\n错误信息: {llm_response.completion_text}"
+                )
             )
-            for func_tool_name, func_tool_args, func_tool_id in zip(
-                llm_response.tools_call_name,
-                llm_response.tools_call_args,
-                llm_response.tools_call_ids,
-            ):
-                try:
-                    func_tool = req.func_tool.get_func(func_tool_name)
-                    if func_tool.origin == "mcp":
-                        logger.info(
-                            f"从 MCP 服务 {func_tool.mcp_server_name} 调用工具函数：{func_tool.name}，参数：{func_tool_args}"
+        elif llm_response.role == "tool":
+            # 处理函数工具调用
+            async for result in self._handle_function_tools(event, req, llm_response):
+                yield result
+
+    async def _handle_function_tools(
+        self,
+        event: AstrMessageEvent,
+        req: ProviderRequest,
+        llm_response: LLMResponse,
+    ) -> AsyncGenerator[Union[None, ProviderRequest], None]:
+        """处理函数工具调用。
+
+        Returns:
+            AsyncGenerator[Union[None, ProviderRequest], None]: 如果返回 ProviderRequest，表示需要再次调用 LLM
+        """
+        # function calling
+        tool_call_result: list[ToolCallMessageSegment] = []
+        logger.info(
+            f"触发 {len(llm_response.tools_call_name)} 个函数调用: {llm_response.tools_call_name}"
+        )
+        for func_tool_name, func_tool_args, func_tool_id in zip(
+            llm_response.tools_call_name,
+            llm_response.tools_call_args,
+            llm_response.tools_call_ids,
+        ):
+            try:
+                func_tool = req.func_tool.get_func(func_tool_name)
+                if func_tool.origin == "mcp":
+                    logger.info(
+                        f"从 MCP 服务 {func_tool.mcp_server_name} 调用工具函数：{func_tool.name}，参数：{func_tool_args}"
+                    )
+                    client = req.func_tool.mcp_client_dict[func_tool.mcp_server_name]
+                    res = await client.session.call_tool(func_tool.name, func_tool_args)
+                    if res:
+                        # TODO content的类型可能包括list[TextContent | ImageContent | EmbeddedResource]，这里只处理了TextContent。
+                        tool_call_result.append(
+                            ToolCallMessageSegment(
+                                role="tool",
+                                tool_call_id=func_tool_id,
+                                content=res.content[0].text,
+                            )
                         )
-                        client = req.func_tool.mcp_client_dict[
-                            func_tool.mcp_server_name
-                        ]
-                        res = await client.session.call_tool(
-                            func_tool.name, func_tool_args
+                else:
+                    # 获取处理器，过滤掉平台不兼容的处理器
+                    platform_id = event.get_platform_id()
+                    star_md = star_map.get(func_tool.handler_module_path)
+                    if (
+                        star_md and
+                        platform_id in star_md.supported_platforms
+                        and not star_md.supported_platforms[platform_id]
+                    ):
+                        logger.debug(
+                            f"处理器 {func_tool_name}({star_md.name}) 在当前平台不兼容或者被禁用，跳过执行"
                         )
-                        if res:
-                            # TODO content的类型可能包括list[TextContent | ImageContent | EmbeddedResource]，这里只处理了TextContent。
+                        # 直接跳过，不添加任何消息到tool_call_result
+                        continue
+
+                    logger.info(
+                        f"调用工具函数：{func_tool_name}，参数：{func_tool_args}"
+                    )
+                    # 尝试调用工具函数
+                    wrapper = self._call_handler(
+                        self.ctx, event, func_tool.handler, **func_tool_args
+                    )
+                    async for resp in wrapper:
+                        if resp is not None:  # 有 return 返回
                             tool_call_result.append(
                                 ToolCallMessageSegment(
                                     role="tool",
                                     tool_call_id=func_tool_id,
-                                    content=res.content[0].text,
+                                    content=resp,
                                 )
                             )
-                    else:
-                        logger.info(
-                            f"调用工具函数：{func_tool_name}，参数：{func_tool_args}"
-                        )
-                        # 尝试调用工具函数
-                        wrapper = self._call_handler(
-                            self.ctx, event, func_tool.handler, **func_tool_args
-                        )
-                        async for resp in wrapper:
-                            if resp is not None:  # 有 return 返回
-                                tool_call_result.append(
-                                    ToolCallMessageSegment(
-                                        role="tool",
-                                        tool_call_id=func_tool_id,
-                                        content=resp,
-                                    )
-                                )
-                            else:
-                                yield  # 有生成器返回
-                    event.clear_result()  # 清除上一个 handler 的结果
-                except BaseException as e:
-                    logger.warning(traceback.format_exc())
-                    tool_call_result.append(
-                        ToolCallMessageSegment(
-                            role="tool",
-                            tool_call_id=func_tool_id,
-                            content=f"error: {str(e)}",
-                        )
+                        else:
+                            res = event.get_result()
+                            if res and res.chain:
+                                event.set_extra("tool_call_result", res)
+                            yield  # 有生成器返回
+                event.clear_result()  # 清除上一个 handler 的结果
+            except BaseException as e:
+                logger.warning(traceback.format_exc())
+                tool_call_result.append(
+                    ToolCallMessageSegment(
+                        role="tool",
+                        tool_call_id=func_tool_id,
+                        content=f"error: {str(e)}",
                     )
-            if tool_call_result:
-                # 函数调用结果
-                req.func_tool = None  # 暂时不支持递归工具调用
-                assistant_msg_seg = AssistantMessageSegment(
-                    role="assistant", tool_calls=llm_response.to_openai_tool_calls()
                 )
-                # 在多轮 Tool 调用的情况下，这里始终保持最新的 Tool 调用结果，减少上下文长度。
-                req.tool_calls_result = ToolCallsResult(
-                    tool_calls_info=assistant_msg_seg,
-                    tool_calls_result=tool_call_result,
+        if tool_call_result:
+            # 函数调用结果
+            req.func_tool = None  # 暂时不支持递归工具调用
+            assistant_msg_seg = AssistantMessageSegment(
+                role="assistant", tool_calls=llm_response.to_openai_tool_calls()
+            )
+            # 在多轮 Tool 调用的情况下，这里始终保持最新的 Tool 调用结果，减少上下文长度。
+            req.tool_calls_result = ToolCallsResult(
+                tool_calls_info=assistant_msg_seg,
+                tool_calls_result=tool_call_result,
+            )
+            yield req  # 再次执行 LLM 请求
+        else:
+            if llm_response.completion_text:
+                event.set_result(
+                    MessageEventResult().message(llm_response.completion_text)
                 )
-                yield req  # 再次执行 LLM 请求
-            else:
-                if llm_response.completion_text:
-                    event.set_result(
-                        MessageEventResult().message(llm_response.completion_text)
-                    )
 
     async def _save_to_history(
         self, event: AstrMessageEvent, req: ProviderRequest, llm_response: LLMResponse
@@ -309,12 +451,22 @@ class LLMRequestSubStage(Stage):
 
         if llm_response.role == "assistant":
             # 文本回复
-            contexts = req.contexts
+            contexts = req.contexts.copy()
             contexts.append(await req.assemble_context())
 
-            # tool calls result
+            # 记录并标记函数调用结果
             if req.tool_calls_result:
-                contexts.extend(req.tool_calls_result.to_openai_messages())
+                tool_calls_messages = req.tool_calls_result.to_openai_messages()
+
+                # 添加标记
+                for message in tool_calls_messages:
+                    message["_tool_call_history"] = True
+
+                processed_tool_messages = self._process_tool_message_pairs(
+                    tool_calls_messages, remove_tags=False
+                )
+
+                contexts.extend(processed_tool_messages)
 
             contexts.append(
                 {"role": "assistant", "content": llm_response.completion_text}
@@ -325,3 +477,59 @@ class LLMRequestSubStage(Stage):
             await self.conv_manager.update_conversation(
                 event.unified_msg_origin, req.conversation.cid, history=contexts_to_save
             )
+
+    def _process_tool_message_pairs(self, messages, remove_tags=True):
+        """处理工具调用消息，确保assistant和tool消息成对出现
+
+        Args:
+            messages (list): 消息列表
+            remove_tags (bool): 是否移除_tool_call_history标记
+
+        Returns:
+            list: 处理后的消息列表，保证了assistant和对应tool消息的成对出现
+        """
+        result = []
+        i = 0
+
+        while i < len(messages):
+            current_msg = messages[i]
+
+            # 普通消息直接添加
+            if "_tool_call_history" not in current_msg:
+                result.append(current_msg.copy() if remove_tags else current_msg)
+                i += 1
+                continue
+
+            # 工具调用消息成对处理
+            if current_msg.get("role") == "assistant" and "tool_calls" in current_msg:
+                assistant_msg = current_msg.copy()
+
+                if remove_tags and "_tool_call_history" in assistant_msg:
+                    del assistant_msg["_tool_call_history"]
+
+                related_tools = []
+                j = i + 1
+                while (
+                    j < len(messages)
+                    and messages[j].get("role") == "tool"
+                    and "_tool_call_history" in messages[j]
+                ):
+                    tool_msg = messages[j].copy()
+
+                    if remove_tags:
+                        del tool_msg["_tool_call_history"]
+
+                    related_tools.append(tool_msg)
+                    j += 1
+
+                # 成对的时候添加到结果
+                if related_tools:
+                    result.append(assistant_msg)
+                    result.extend(related_tools)
+
+                i = j  # 跳过已处理
+            else:
+                # 单独的tool消息
+                i += 1
+
+        return result

astrbot/core/pipeline/process_stage/method/star_request.py

@@ -31,7 +31,18 @@ class StarRequestSubStage(Stage):
         )
         if not handlers_parsed_params:
             handlers_parsed_params = {}
+
         for handler in activated_handlers:
+            # 检查处理器是否在当前平台兼容
+            if (
+                hasattr(handler, "platform_compatible")
+                and handler.platform_compatible is False
+            ):
+                logger.debug(
+                    f"处理器 {handler.handler_name} 在当前平台不兼容，跳过执行"
+                )
+                continue
+
             params = handlers_parsed_params.get(handler.handler_full_name, {})
             try:
                 if handler.handler_module_path not in star_map:

astrbot/core/pipeline/process_stage/stage.py

@@ -5,7 +5,7 @@ from .method.llm_request import LLMRequestSubStage
 from .method.star_request import StarRequestSubStage
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.star.star_handler import StarHandlerMetadata
-from astrbot.core.provider.entites import ProviderRequest
+from astrbot.core.provider.entities import ProviderRequest
 from astrbot.core import logger
 
 

astrbot/core/pipeline/respond/stage.py

@@ -7,7 +7,7 @@ from typing import Union, AsyncGenerator
 from ..stage import register_stage, Stage
 from ..context import PipelineContext
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
-from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.message.message_event_result import MessageChain, ResultContentType
 from astrbot.core import logger
 from astrbot.core.message.message_event_result import BaseMessageComponent
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
@@ -18,7 +18,9 @@ from astrbot.core.star.star import star_map
 class RespondStage(Stage):
     # 组件类型到其非空判断函数的映射
     _component_validators = {
-        Comp.Plain: lambda comp: bool(comp.text and comp.text.strip()),  # 纯文本消息需要strip
+        Comp.Plain: lambda comp: bool(
+            comp.text and comp.text.strip()
+        ),  # 纯文本消息需要strip
         Comp.Face: lambda comp: comp.id is not None,  # QQ表情
         Comp.Record: lambda comp: bool(comp.file),  # 语音
         Comp.Video: lambda comp: bool(comp.file),  # 视频
@@ -31,13 +33,17 @@ class RespondStage(Stage):
         Comp.Share: lambda comp: bool(comp.url) and bool(comp.title),  # 分享
         Comp.Contact: lambda comp: True,  # 联系人(未完成)
         Comp.Location: lambda comp: bool(comp.lat and comp.lon),  # 位置
-        Comp.Music: lambda comp: bool(comp._type) and bool(comp.url) and bool(comp.audio),  # 音乐
+        Comp.Music: lambda comp: bool(comp._type)
+        and bool(comp.url)
+        and bool(comp.audio),  # 音乐
         Comp.Image: lambda comp: bool(comp.file),  # 图片
         Comp.Reply: lambda comp: bool(comp.id) and comp.sender_id is not None,  # 回复
         Comp.RedBag: lambda comp: bool(comp.title),  # 红包
         Comp.Poke: lambda comp: comp.id != 0 and comp.qq != 0,  # 戳一戳
         Comp.Forward: lambda comp: bool(comp.id and comp.id.strip()),  # 转发
-        Comp.Node: lambda comp: bool(comp.name) and comp.uin != 0 and bool(comp.content),  # 一个转发节点
+        Comp.Node: lambda comp: bool(comp.name)
+        and comp.uin != 0
+        and bool(comp.content),  # 一个转发节点
         Comp.Nodes: lambda comp: bool(comp.nodes),  # 多个转发节点
         Comp.Xml: lambda comp: bool(comp.data and comp.data.strip()),  # XML
         Comp.Json: lambda comp: bool(comp.data),  # JSON
@@ -132,8 +138,17 @@ class RespondStage(Stage):
         result = event.get_result()
         if result is None:
             return
+        if result.result_content_type == ResultContentType.STREAMING_FINISH:
+            return
 
-        if len(result.chain) > 0:
+        if result.result_content_type == ResultContentType.STREAMING_RESULT:
+            # 流式结果直接交付平台适配器处理
+            logger.info(f"应用流式输出({event.get_platform_name()})")
+            await event._pre_send()
+            await event.send_streaming(result.async_stream)
+            await event._post_send()
+            return
+        elif len(result.chain) > 0:
             await event._pre_send()
 
             # 检查消息链是否为空
@@ -183,7 +198,7 @@ class RespondStage(Stage):
             )
 
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnAfterMessageSentEvent
+            EventType.OnAfterMessageSentEvent, platform_id=event.get_platform_id()
         )
         for handler in handlers:
             try:

astrbot/core/pipeline/result_decorate/stage.py

@@ -5,6 +5,7 @@ from typing import Union, AsyncGenerator
 from ..stage import Stage, register_stage, registered_stages
 from ..context import PipelineContext
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import ResultContentType
 from astrbot.core.platform.message_type import MessageType
 from astrbot.core import logger
 from astrbot.core.message.components import Plain, Image, At, Reply, Record, File, Node
@@ -72,11 +73,17 @@ class ResultDecorateStage(Stage):
         if result is None or not result.chain:
             return
 
+        if result.result_content_type == ResultContentType.STREAMING_RESULT:
+            return
+
+        is_stream = result.result_content_type == ResultContentType.STREAMING_FINISH
+
         # 回复时检查内容安全
         if (
             self.content_safe_check_reply
             and self.content_safe_check_stage
             and result.is_llm_result()
+            and not is_stream  # 流式输出不检查内容安全
         ):
             text = ""
             for comp in result.chain:
@@ -89,13 +96,17 @@ class ResultDecorateStage(Stage):
 
         # 发送消息前事件钩子
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnDecoratingResultEvent
+            EventType.OnDecoratingResultEvent, platform_id=event.get_platform_id()
         )
         for handler in handlers:
             try:
                 logger.debug(
                     f"hook(on_decorating_result) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
                 )
+                if is_stream:
+                    logger.warning(
+                        "启用流式输出时，依赖发送消息前事件钩子的插件可能无法正常工作"
+                    )
                 await handler.handler(event)
                 if event.get_result() is None or not event.get_result().chain:
                     logger.debug(
@@ -110,6 +121,11 @@ class ResultDecorateStage(Stage):
                 )
                 return
 
+        # 流式输出不执行下面的逻辑
+        if is_stream:
+            logger.info("流式输出已启用，跳过结果装饰阶段")
+            return
+
         # 需要再获取一次。插件可能直接对 chain 进行了替换。
         result = event.get_result()
         if result is None:

astrbot/core/pipeline/waking_check/stage.py

@@ -1,5 +1,6 @@
 from ..stage import Stage, register_stage
 from ..context import PipelineContext
+from astrbot import logger
 from typing import Union, AsyncGenerator
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
@@ -93,6 +94,7 @@ class WakingCheckStage(Stage):
             # filter 需满足 AND 逻辑关系
             passed = True
             permission_not_pass = False
+            permission_filter_raise_error = False
             if len(handler.event_filters) == 0:
                 continue
 
@@ -101,6 +103,7 @@ class WakingCheckStage(Stage):
                     if isinstance(filter, PermissionTypeFilter):
                         if not filter.filter(event, self.ctx.astrbot_config):
                             permission_not_pass = True
+                            permission_filter_raise_error = filter.raise_error
                     else:
                         if not filter.filter(event, self.ctx.astrbot_config):
                             passed = False
@@ -117,6 +120,9 @@ class WakingCheckStage(Stage):
                     break
             if passed:
                 if permission_not_pass:
+                    if not permission_filter_raise_error:
+                        # 跳过
+                        continue
                     if self.no_permission_reply:
                         await event.send(
                             MessageChain().message(
@@ -124,6 +130,9 @@ class WakingCheckStage(Stage):
                             )
                         )
                         await event._post_send()
+                    logger.info(
+                        f"触发 {star_map[handler.handler_module_path].name} 时, 用户(ID={event.get_sender_id()}) 权限不足。"
+                    )
                     event.stop_event()
                     return
 

astrbot/core/platform/astr_message_event.py

@@ -1,7 +1,7 @@
 import abc
 import asyncio
 from dataclasses import dataclass
-from typing import List, Union, Optional
+from typing import List, Union, Optional, AsyncGenerator
 
 from astrbot.core.db.po import Conversation
 from astrbot.core.message.components import (
@@ -16,7 +16,7 @@ from astrbot.core.message.components import (
 )
 from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
 from astrbot.core.platform.message_type import MessageType
-from astrbot.core.provider.entites import ProviderRequest
+from astrbot.core.provider.entities import ProviderRequest
 from astrbot.core.utils.metrics import Metric
 from .astrbot_message import AstrBotMessage, Group
 from .platform_metadata import PlatformMetadata
@@ -81,6 +81,9 @@ class AstrMessageEvent(abc.ABC):
     def get_platform_name(self):
         return self.platform_meta.name
 
+    def get_platform_id(self):
+        return self.platform_meta.id
+
     def get_message_str(self) -> str:
         """
         获取消息字符串。
@@ -202,6 +205,15 @@ class AstrMessageEvent(abc.ABC):
         """
         return self.role == "admin"
 
+    async def send_streaming(self, generator: AsyncGenerator[MessageChain, None]):
+        """发送流式消息到消息平台，使用异步生成器。
+        目前仅支持: telegram，qq official 私聊。
+        """
+        asyncio.create_task(
+            Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name)
+        )
+        self._has_send_oper = True
+
     async def _pre_send(self):
         """调度器会在执行 send() 前调用该方法"""
 

astrbot/core/platform/platform_metadata.py

@@ -7,6 +7,8 @@ class PlatformMetadata:
     """平台的名称"""
     description: str
     """平台的描述"""
+    id: str = None
+    """平台的唯一标识符，用于配置中识别特定平台"""
 
     default_config_tmpl: dict = None
     """平台的默认配置模板"""

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_message_event.py

@@ -82,6 +82,19 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
 
         await super().send(message)
 
+    async def send_streaming(self, generator):
+        buffer = None
+        async for chain in generator:
+            if not buffer:
+                buffer = chain
+            else:
+                buffer.chain.extend(chain.chain)
+        if not buffer:
+            return
+        buffer.squash_plain()
+        await self.send(buffer)
+        return await super().send_streaming(generator)
+
     async def get_group(self, group_id=None, **kwargs):
         if isinstance(group_id, str) and group_id.isdigit():
             group_id = int(group_id)

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py

@@ -39,8 +39,9 @@ class AiocqhttpAdapter(Platform):
         self.port = platform_config["ws_reverse_port"]
 
         self.metadata = PlatformMetadata(
-            "aiocqhttp",
-            "适用于 OneBot 标准的消息平台适配器，支持反向 WebSockets。",
+            name="aiocqhttp",
+            description="适用于 OneBot 标准的消息平台适配器，支持反向 WebSockets。",
+            id=self.config.get("id"),
         )
 
         self.bot = CQHttp(
@@ -109,7 +110,7 @@ class AiocqhttpAdapter(Platform):
         """OneBot V11 请求类事件"""
         abm = AstrBotMessage()
         abm.self_id = str(event.self_id)
-        abm.sender = MessageMember(user_id=event.user_id, nickname=event.user_id)
+        abm.sender = MessageMember(user_id=str(event.user_id), nickname=event.user_id)
         abm.type = MessageType.OTHER_MESSAGE
         if "group_id" in event and event["group_id"]:
             abm.type = MessageType.GROUP_MESSAGE
@@ -129,7 +130,7 @@ class AiocqhttpAdapter(Platform):
         """OneBot V11 通知类事件"""
         abm = AstrBotMessage()
         abm.self_id = str(event.self_id)
-        abm.sender = MessageMember(user_id=event.user_id, nickname=event.user_id)
+        abm.sender = MessageMember(user_id=str(event.user_id), nickname=event.user_id)
         abm.type = MessageType.OTHER_MESSAGE
         if "group_id" in event and event["group_id"]:
             abm.group_id = str(event.group_id)

astrbot/core/platform/sources/dingtalk/dingtalk_adapter.py

@@ -73,8 +73,9 @@ class DingtalkPlatformAdapter(Platform):
 
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "dingtalk",
-            "钉钉机器人官方 API 适配器",
+            name="dingtalk",
+            description="钉钉机器人官方 API 适配器",
+            id=self.config.get("id"),
         )
 
     async def convert_msg(

astrbot/core/platform/sources/dingtalk/dingtalk_event.py

@@ -24,7 +24,11 @@ class DingtalkMessageEvent(AstrMessageEvent):
             if isinstance(segment, Comp.Plain):
                 segment.text = segment.text.strip()
                 await asyncio.get_event_loop().run_in_executor(
-                    None, client.reply_markdown, "AstrBot", segment.text, self.message_obj.raw_message
+                    None,
+                    client.reply_markdown,
+                    "AstrBot",
+                    segment.text,
+                    self.message_obj.raw_message,
                 )
             elif isinstance(segment, Comp.Image):
                 markdown_str = ""
@@ -56,3 +60,16 @@ class DingtalkMessageEvent(AstrMessageEvent):
     async def send(self, message: MessageChain):
         await self.send_with_client(self.client, message)
         await super().send(message)
+
+    async def send_streaming(self, generator):
+        buffer = None
+        async for chain in generator:
+            if not buffer:
+                buffer = chain
+            else:
+                buffer.chain.extend(chain.chain)
+        if not buffer:
+            return
+        buffer.squash_plain()
+        await self.send(buffer)
+        return await super().send_streaming(generator)

astrbot/core/platform/sources/gewechat/gewechat_event.py

@@ -216,3 +216,16 @@ class GewechatPlatformEvent(AstrMessageEvent):
             group_owner=data.get("chatRoomOwner"),
             members=members,
         )
+
+    async def send_streaming(self, generator):
+        buffer = None
+        async for chain in generator:
+            if not buffer:
+                buffer = chain
+            else:
+                buffer.chain.extend(chain.chain)
+        if not buffer:
+            return
+        buffer.squash_plain()
+        await self.send(buffer)
+        return await super().send_streaming(generator)

astrbot/core/platform/sources/gewechat/gewechat_platform_adapter.py

@@ -60,13 +60,17 @@ class GewechatPlatformAdapter(Platform):
     @override
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "gewechat",
-            "基于 gewechat 的 Wechat 适配器",
+            name="gewechat",
+            description="基于 gewechat 的 Wechat 适配器",
+            id=self.config.get("id"),
         )
 
     async def terminate(self):
         self.client.shutdown_event.set()
-        await self.client.server.shutdown()
+        try:
+            await self.client.server.shutdown()
+        except Exception as _:
+            pass
         logger.info("Gewechat 适配器已被优雅地关闭。")
 
     async def logout(self):

astrbot/core/platform/sources/lark/lark_adapter.py

@@ -2,6 +2,7 @@ import base64
 import asyncio
 import json
 import re
+import uuid
 import astrbot.api.message_components as Comp
 
 from astrbot.api.platform import (
@@ -66,12 +67,47 @@ class LarkPlatformAdapter(Platform):
     async def send_by_session(
         self, session: MessageSesion, message_chain: MessageChain
     ):
-        raise NotImplementedError("Lark 适配器不支持 send_by_session")
+        res = await LarkMessageEvent._convert_to_lark(message_chain, self.lark_api)
+        wrapped = {
+            "zh_cn": {
+                "title": "",
+                "content": res,
+            }
+        }
+
+        if session.message_type == MessageType.GROUP_MESSAGE:
+            id_type = "chat_id"
+            if "%" in session.session_id:
+                session.session_id = session.session_id.split("%")[1]
+        else:
+            id_type = "open_id"
+
+        request = (
+            CreateMessageRequest.builder()
+            .receive_id_type(id_type)
+            .request_body(
+                CreateMessageRequestBody.builder()
+                .receive_id(session.session_id)
+                .content(json.dumps(wrapped))
+                .msg_type("post")
+                .uuid(str(uuid.uuid4()))
+                .build()
+            )
+            .build()
+        )
+
+        response = await self.lark_api.im.v1.message.acreate(request)
+
+        if not response.success():
+            logger.error(f"发送飞书消息失败({response.code}): {response.msg}")
+
+        await super().send_by_session(session, message_chain)
 
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "lark",
-            "飞书机器人官方 API 适配器",
+            name="lark",
+            description="飞书机器人官方 API 适配器",
+            id=self.config.get("id"),
         )
 
     async def convert_msg(self, event: lark.im.v1.P2ImMessageReceiveV1):
@@ -165,7 +201,10 @@ class LarkPlatformAdapter(Platform):
             else:
                 abm.session_id = abm.sender.user_id
         else:
-            abm.session_id = abm.sender.user_id
+            if abm.type == MessageType.GROUP_MESSAGE:
+                abm.session_id = f"{abm.sender.user_id}%{abm.group_id}"  # 也保留群组id
+            else:
+                abm.session_id = abm.sender.user_id
 
         logger.debug(abm)
         await self.handle_msg(abm)

astrbot/core/platform/sources/lark/lark_event.py

@@ -91,3 +91,16 @@ class LarkMessageEvent(AstrMessageEvent):
             logger.error(f"回复飞书消息失败({response.code}): {response.msg}")
 
         await super().send(message)
+
+    async def send_streaming(self, generator):
+        buffer = None
+        async for chain in generator:
+            if not buffer:
+                buffer = chain
+            else:
+                buffer.chain.extend(chain.chain)
+        if not buffer:
+            return
+        buffer.squash_plain()
+        await self.send(buffer)
+        return await super().send_streaming(generator)

astrbot/core/platform/sources/qqofficial/qqofficial_message_event.py

@@ -2,6 +2,7 @@ import botpy
 import botpy.message
 import botpy.types
 import botpy.types.message
+import asyncio
 from astrbot.core.utils.io import file_to_base64, download_image_by_url
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.platform import AstrBotMessage, PlatformMetadata
@@ -9,6 +10,8 @@ from astrbot.api.message_components import Plain, Image
 from botpy import Client
 from botpy.http import Route
 from astrbot.api import logger
+from botpy.types import message
+import random
 
 
 class QQOfficialMessageEvent(AstrMessageEvent):
@@ -30,8 +33,45 @@ class QQOfficialMessageEvent(AstrMessageEvent):
         else:
             self.send_buffer.chain.extend(message.chain)
 
-    async def _post_send(self):
-        """QQ 官方 API 仅支持回复一次"""
+    async def send_streaming(self, generator):
+        """流式输出仅支持消息列表私聊"""
+        stream_payload = {"state": 1, "id": None, "index": 0, "reset": False}
+        last_edit_time = 0  # 上次编辑消息的时间
+        throttle_interval = 1  # 编辑消息的间隔时间 (秒)
+        try:
+            async for chain in generator:
+                source = self.message_obj.raw_message
+                if not self.send_buffer:
+                    self.send_buffer = chain
+                else:
+                    self.send_buffer.chain.extend(chain.chain)
+
+                if isinstance(source, botpy.message.C2CMessage):
+                    # 真流式传输
+                    current_time = asyncio.get_event_loop().time()
+                    time_since_last_edit = current_time - last_edit_time
+
+                    if time_since_last_edit >= throttle_interval:
+                        ret = await self._post_send(stream=stream_payload)
+                        stream_payload["index"] += 1
+                        stream_payload["id"] = ret["id"]
+                        last_edit_time = asyncio.get_event_loop().time()
+
+            if isinstance(source, botpy.message.C2CMessage):
+                # 结束流式对话，并且传输 buffer 中剩余的消息
+                stream_payload["state"] = 10
+                ret = await self._post_send(stream=stream_payload)
+
+        except Exception as e:
+            logger.error(f"发送流式消息时出错: {e}", exc_info=True)
+            self.send_buffer = None
+
+        return await super().send_streaming(generator)
+
+    async def _post_send(self, stream: dict = None):
+        if not self.send_buffer:
+            return
+
         source = self.message_obj.raw_message
         assert isinstance(
             source,
@@ -57,6 +97,9 @@ class QQOfficialMessageEvent(AstrMessageEvent):
             "msg_id": self.message_obj.message_id,
         }
 
+        if not isinstance(source, (botpy.message.Message,botpy.message.DirectMessage)):
+            payload["msg_seq"] = random.randint(1, 10000)
+
         match type(source):
             case botpy.message.GroupMessage:
                 if image_base64:
@@ -65,7 +108,7 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                     )
                     payload["media"] = media
                     payload["msg_type"] = 7
-                await self.bot.api.post_group_message(
+                ret = await self.bot.api.post_group_message(
                     group_openid=source.group_openid, **payload
                 )
             case botpy.message.C2CMessage:
@@ -75,22 +118,34 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                     )
                     payload["media"] = media
                     payload["msg_type"] = 7
-                await self.bot.api.post_c2c_message(
-                    openid=source.author.user_openid, **payload
-                )
+                if stream:
+                    ret = await self.post_c2c_message(
+                        openid=source.author.user_openid,
+                        **payload,
+                        stream=stream,
+                    )
+                else:
+                    ret = await self.post_c2c_message(
+                        openid=source.author.user_openid, **payload
+                    )
+                logger.debug(f"Message sent to C2C: {ret}")
             case botpy.message.Message:
                 if image_path:
                     payload["file_image"] = image_path
-                await self.bot.api.post_message(channel_id=source.channel_id, **payload)
+                ret = await self.bot.api.post_message(
+                    channel_id=source.channel_id, **payload
+                )
             case botpy.message.DirectMessage:
                 if image_path:
                     payload["file_image"] = image_path
-                await self.bot.api.post_dms(guild_id=source.guild_id, **payload)
+                ret = await self.bot.api.post_dms(guild_id=source.guild_id, **payload)
 
         await super().send(self.send_buffer)
 
         self.send_buffer = None
 
+        return ret
+
     async def upload_group_and_c2c_image(
         self, image_base64: str, file_type: int, **kwargs
     ) -> botpy.types.message.Media:
@@ -112,6 +167,27 @@ class QQOfficialMessageEvent(AstrMessageEvent):
             )
             return await self.bot.api._http.request(route, json=payload)
 
+    async def post_c2c_message(
+        self,
+        openid: str,
+        msg_type: int = 0,
+        content: str = None,
+        embed: message.Embed = None,
+        ark: message.Ark = None,
+        message_reference: message.Reference = None,
+        media: message.Media = None,
+        msg_id: str = None,
+        msg_seq: str = 1,
+        event_id: str = None,
+        markdown: message.MarkdownPayload = None,
+        keyboard: message.Keyboard = None,
+        stream: dict = None,
+    ) -> message.Message:
+        payload = locals()
+        payload.pop("self", None)
+        route = Route("POST", "/v2/users/{openid}/messages", openid=openid)
+        return await self.bot.api._http.request(route, json=payload)
+
     @staticmethod
     async def _parse_to_qqofficial(message: MessageChain):
         plain_text = ""

astrbot/core/platform/sources/qqofficial/qqofficial_platform_adapter.py

@@ -126,8 +126,9 @@ class QQOfficialPlatformAdapter(Platform):
 
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "qq_official",
-            "QQ 机器人官方 API 适配器",
+            name="qq_official",
+            description="QQ 机器人官方 API 适配器",
+            id=self.config.get("id"),
         )
 
     @staticmethod

astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_adapter.py

@@ -99,8 +99,9 @@ class QQOfficialWebhookPlatformAdapter(Platform):
 
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "qq_official_webhook",
-            "QQ 机器人官方 API 适配器",
+            name="qq_official_webhook",
+            description="QQ 机器人官方 API 适配器",
+            id=self.config.get("id"),
         )
 
     async def run(self):
@@ -116,5 +117,8 @@ class QQOfficialWebhookPlatformAdapter(Platform):
     async def terminate(self):
         self.webhook_helper.shutdown_event.set()
         await self.client.close()
-        await self.webhook_helper.server.shutdown()
+        try:
+            await self.webhook_helper.server.shutdown()
+        except Exception as _:
+            pass
         logger.info("QQ 机器人官方 API 适配器已经被优雅地关闭")

astrbot/core/platform/sources/telegram/tg_adapter.py

@@ -1,26 +1,31 @@
+import asyncio
 import sys
 import uuid
-import asyncio
-import astrbot.api.message_components as Comp
 
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+from telegram import BotCommand, Update
+from telegram.constants import ChatType
+from telegram.ext import ApplicationBuilder, ContextTypes, ExtBot, filters
+from telegram.ext import MessageHandler as TelegramMessageHandler
+
+import astrbot.api.message_components as Comp
+from astrbot.api import logger
+from astrbot.api.event import MessageChain
 from astrbot.api.platform import (
-    Platform,
     AstrBotMessage,
     MessageMember,
-    PlatformMetadata,
     MessageType,
+    Platform,
+    PlatformMetadata,
+    register_platform_adapter,
 )
-from astrbot.api.event import MessageChain
 from astrbot.core.platform.astr_message_event import MessageSesion
-from astrbot.api.platform import register_platform_adapter
+from astrbot.core.star.filter.command import CommandFilter
+from astrbot.core.star.filter.command_group import CommandGroupFilter
+from astrbot.core.star.star import star_map
+from astrbot.core.star.star_handler import star_handlers_registry
 
-from telegram import Update
-from telegram.ext import ApplicationBuilder, ContextTypes, filters
-from telegram.constants import ChatType
-from telegram.ext import MessageHandler as TelegramMessageHandler
 from .tg_event import TelegramPlatformEvent
-from astrbot.api import logger
-from telegram.ext import ExtBot
 
 if sys.version_info >= (3, 12):
     from typing import override
@@ -67,6 +72,8 @@ class TelegramPlatformAdapter(Platform):
         self.client = self.application.bot
         logger.debug(f"Telegram base url: {self.client.base_url}")
 
+        self.scheduler = AsyncIOScheduler()
+
     @override
     async def send_by_session(
         self, session: MessageSesion, message_chain: MessageChain
@@ -80,18 +87,94 @@ class TelegramPlatformAdapter(Platform):
     @override
     def meta(self) -> PlatformMetadata:
         return PlatformMetadata(
-            "telegram",
-            "telegram 适配器",
+            name="telegram", description="telegram 适配器", id=self.config.get("id")
         )
 
     @override
     async def run(self):
         await self.application.initialize()
         await self.application.start()
+        await self.register_commands()
+
+        # TODO 使用更优雅的方式重新注册命令
+        self.scheduler.add_job(
+            self.register_commands,
+            "interval",
+            minutes=5,
+            id="telegram_command_register",
+            misfire_grace_time=60,
+        )
+        self.scheduler.start()
+
         queue = self.application.updater.start_polling()
         logger.info("Telegram Platform Adapter is running.")
         await queue
 
+    async def register_commands(self):
+        """收集所有注册的指令并注册到 Telegram"""
+        try:
+            await self.client.delete_my_commands()
+            commands = self.collect_commands()
+
+            if commands:
+                await self.client.set_my_commands(commands)
+                for cmd in commands:
+                    logger.debug(f"已注册指令: /{cmd.command} - {cmd.description}")
+
+        except Exception as e:
+            logger.error(f"向 Telegram 注册指令时发生错误: {e!s}")
+
+    def collect_commands(self) -> list[BotCommand]:
+        """从注册的处理器中收集所有指令"""
+        command_dict = {}
+        skip_commands = {"start"}
+
+        for handler_md in star_handlers_registry._handlers:
+            handler_metadata = handler_md[1]
+            if not star_map[handler_metadata.handler_module_path].activated:
+                continue
+            for event_filter in handler_metadata.event_filters:
+                cmd_info = self._extract_command_info(
+                    event_filter, handler_metadata, skip_commands
+                )
+                if cmd_info:
+                    cmd_name, description = cmd_info
+                    command_dict.setdefault(cmd_name, description)
+
+        commands_a = sorted(command_dict.keys())
+        return [BotCommand(cmd, command_dict[cmd]) for cmd in commands_a]
+
+    @staticmethod
+    def _extract_command_info(
+        event_filter, handler_metadata, skip_commands: set
+    ) -> tuple[str, str] | None:
+        """从事件过滤器中提取指令信息"""
+        cmd_name = None
+        is_group = False
+        if isinstance(event_filter, CommandFilter) and event_filter.command_name:
+            if (
+                event_filter.parent_command_names
+                and event_filter.parent_command_names != [""]
+            ):
+                return None
+            cmd_name = event_filter.command_name
+        elif isinstance(event_filter, CommandGroupFilter):
+            if event_filter.parent_group:
+                return None
+            cmd_name = event_filter.group_name
+            is_group = True
+
+        if not cmd_name or cmd_name in skip_commands:
+            return None
+
+        # Build description.
+        description = handler_metadata.desc or (
+            f"指令组: {cmd_name} (包含多个子指令)" if is_group else f"指令: {cmd_name}"
+        )
+        if len(description) > 30:
+            description = description[:30] + "..."
+        return cmd_name, description
+
     async def start(self, update: Update, context: ContextTypes.DEFAULT_TYPE):
         await context.bot.send_message(
             chat_id=update.effective_chat.id, text=self.config["start_message"]
@@ -163,6 +246,16 @@ class TelegramPlatformAdapter(Platform):
             # 处理文本消息
             plain_text = update.message.text
 
+            # 群聊场景命令特殊处理
+            if plain_text.startswith("/"):
+                command_parts = plain_text.split(" ", 1)
+                if "@" in command_parts[0]:
+                    command, bot_name = command_parts[0].split("@")
+                    if bot_name == self.client.username:
+                        plain_text = command + (
+                            f" {command_parts[1]}" if len(command_parts) > 1 else ""
+                        )
+
             if update.message.entities:
                 for entity in update.message.entities:
                     if entity.type == "mention":
@@ -242,7 +335,11 @@ class TelegramPlatformAdapter(Platform):
 
     async def terminate(self):
         try:
+            if self.scheduler.running:
+                self.scheduler.shutdown()
+
             await self.application.stop()
+            await self.client.delete_my_commands()
 
             # 保险起见先判断是否存在updater对象
             if self.application.updater is not None:

astrbot/core/platform/sources/telegram/tg_event.py

@@ -1,7 +1,15 @@
+import asyncio
 import telegramify_markdown
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.platform import AstrBotMessage, PlatformMetadata, MessageType
-from astrbot.api.message_components import Plain, Image, Reply, At, File, Record
+from astrbot.api.message_components import (
+    Plain,
+    Image,
+    Reply,
+    At,
+    File,
+    Record,
+)
 from telegram.ext import ExtBot
 from astrbot.core.utils.io import download_file
 from astrbot import logger
@@ -82,3 +90,109 @@ class TelegramPlatformEvent(AstrMessageEvent):
         else:
             await self.send_with_client(self.client, message, self.get_sender_id())
         await super().send(message)
+
+    async def send_streaming(self, generator):
+        message_thread_id = None
+
+        if self.get_message_type() == MessageType.GROUP_MESSAGE:
+            user_name = self.message_obj.group_id
+        else:
+            user_name = self.get_sender_id()
+
+        if "#" in user_name:
+            # it's a supergroup chat with message_thread_id
+            user_name, message_thread_id = user_name.split("#")
+        payload = {
+            "chat_id": user_name,
+        }
+        if message_thread_id:
+            payload["reply_to_message_id"] = message_thread_id
+
+        delta = ""
+        current_content = ""
+        message_id = None
+        last_edit_time = 0  # 上次编辑消息的时间
+        throttle_interval = 0.6  # 编辑消息的间隔时间 (秒)
+
+        async for chain in generator:
+            if isinstance(chain, MessageChain):
+                # 处理消息链中的每个组件
+                for i in chain.chain:
+                    if isinstance(i, Plain):
+                        delta += i.text
+                    elif isinstance(i, Image):
+                        image_path = await i.convert_to_file_path()
+                        await self.client.send_photo(photo=image_path, **payload)
+                        continue
+                    elif isinstance(i, File):
+                        if i.file.startswith("https://"):
+                            path = "data/temp/" + i.name
+                            await download_file(i.file, path)
+                            i.file = path
+
+                        await self.client.send_document(
+                            document=i.file, filename=i.name, **payload
+                        )
+                        continue
+                    elif isinstance(i, Record):
+                        path = await i.convert_to_file_path()
+                        await self.client.send_voice(voice=path, **payload)
+                        continue
+                    else:
+                        logger.warning(f"不支持的消息类型: {type(i)}")
+                        continue
+
+                # Plain
+                if not message_id:
+                    try:
+                        msg = await self.client.send_message(text=delta, **payload)
+                        current_content = delta
+                    except Exception as e:
+                        logger.warning(f"发送消息失败(streaming): {e!s}")
+                    message_id = msg.message_id
+                    last_edit_time = (
+                        asyncio.get_event_loop().time()
+                    )  # 记录初始消息发送时间
+                else:
+                    current_time = asyncio.get_event_loop().time()
+                    time_since_last_edit = current_time - last_edit_time
+
+                    # 如果距离上次编辑的时间 >= 设定的间隔，等待一段时间
+                    if time_since_last_edit >= throttle_interval:
+                        # 编辑消息
+                        try:
+                            await self.client.edit_message_text(
+                                text=delta,
+                                chat_id=payload["chat_id"],
+                                message_id=message_id,
+                            )
+                            current_content = delta
+                        except Exception as e:
+                            logger.warning(f"编辑消息失败(streaming): {e!s}")
+                        last_edit_time = (
+                            asyncio.get_event_loop().time()
+                        )  # 更新上次编辑的时间
+
+        try:
+            if delta and current_content != delta:
+                try:
+                    markdown_text = telegramify_markdown.markdownify(
+                        delta, max_line_length=None, normalize_whitespace=False
+                    )
+                    await self.client.edit_message_text(
+                        text=markdown_text,
+                        chat_id=payload["chat_id"],
+                        message_id=message_id,
+                        parse_mode="MarkdownV2"
+                    )
+                except Exception as e:
+                    logger.warning(f"Markdown转换失败，使用普通文本: {e!s}")
+                    await self.client.edit_message_text(
+                        text=delta,
+                        chat_id=payload["chat_id"],
+                        message_id=message_id
+                    )
+        except Exception as e:
+            logger.warning(f"编辑消息失败(streaming): {e!s}")
+
+        return await super().send_streaming(generator)

astrbot/core/platform/sources/webchat/webchat_adapter.py

@@ -43,8 +43,7 @@ class WebChatAdapter(Platform):
         self.imgs_dir = "data/webchat/imgs"
 
         self.metadata = PlatformMetadata(
-            "webchat",
-            "webchat",
+            name="webchat", description="webchat", id=self.config.get("id")
         )
 
     async def send_by_session(

astrbot/core/platform/sources/webchat/webchat_event.py

@@ -16,16 +16,26 @@ class WebChatMessageEvent(AstrMessageEvent):
         os.makedirs(imgs_dir, exist_ok=True)
 
     @staticmethod
-    async def _send(message: MessageChain, session_id: str):
+    async def _send(message: MessageChain, session_id: str, streaming: bool = False):
         if not message:
-            web_chat_back_queue.put_nowait(None)
-            return
+            await web_chat_back_queue.put(
+                {"type": "end", "data": "", "streaming": False}
+            )
+            return ""
 
         cid = session_id.split("!")[-1]
-
+        data = ""
         for comp in message.chain:
             if isinstance(comp, Plain):
-                web_chat_back_queue.put_nowait((comp.text, cid))
+                data = comp.text
+                await web_chat_back_queue.put(
+                    {
+                        "type": "plain",
+                        "cid": cid,
+                        "data": data,
+                        "streaming": streaming,
+                    }
+                )
             elif isinstance(comp, Image):
                 # save image to local
                 filename = str(uuid.uuid4()) + ".jpg"
@@ -46,7 +56,15 @@ class WebChatMessageEvent(AstrMessageEvent):
                     with open(path, "wb") as f:
                         with open(comp.file, "rb") as f2:
                             f.write(f2.read())
-                web_chat_back_queue.put_nowait((f"[IMAGE]{filename}", cid))
+                data = f"[IMAGE]{filename}"
+                await web_chat_back_queue.put(
+                    {
+                        "type": "image",
+                        "cid": cid,
+                        "data": data,
+                        "streaming": streaming,
+                    }
+                )
             elif isinstance(comp, Record):
                 # save record to local
                 filename = str(uuid.uuid4()) + ".wav"
@@ -62,11 +80,45 @@ class WebChatMessageEvent(AstrMessageEvent):
                     with open(path, "wb") as f:
                         with open(comp.file, "rb") as f2:
                             f.write(f2.read())
-                web_chat_back_queue.put_nowait((f"[RECORD]{filename}", cid))
+                data = f"[RECORD]{filename}"
+                await web_chat_back_queue.put(
+                    {
+                        "type": "record",
+                        "cid": cid,
+                        "data": data,
+                        "streaming": streaming,
+                    }
+                )
             else:
                 logger.debug(f"webchat 忽略: {comp.type}")
-        web_chat_back_queue.put_nowait(None)
+
+        return data
 
     async def send(self, message: MessageChain):
         await WebChatMessageEvent._send(message, session_id=self.session_id)
+        await web_chat_back_queue.put(
+            {
+                "type": "end",
+                "data": "",
+                "streaming": False,
+                "cid": self.session_id.split("!")[-1],
+            }
+        )
         await super().send(message)
+
+    async def send_streaming(self, generator):
+        final_data = ""
+        async for chain in generator:
+            final_data += await WebChatMessageEvent._send(
+                chain, session_id=self.session_id, streaming=True
+            )
+
+        await web_chat_back_queue.put(
+            {
+                "type": "end",
+                "data": final_data,
+                "streaming": True,
+                "cid": self.session_id.split("!")[-1],
+            }
+        )
+        await super().send_streaming(generator)

astrbot/core/platform/sources/wecom/wecom_adapter.py

@@ -237,5 +237,8 @@ class WecomPlatformAdapter(Platform):
 
     async def terminate(self):
         self.server.shutdown_event.set()
-        await self.server.server.shutdown()
+        try:
+            await self.server.server.shutdown()
+        except Exception as _:
+            pass
         logger.info("企业微信 适配器已被优雅地关闭")

astrbot/core/platform/sources/wecom/wecom_event.py

@@ -84,3 +84,16 @@ class WecomPlatformEvent(AstrMessageEvent):
                     )
 
         await super().send(message)
+
+    async def send_streaming(self, generator):
+        buffer = None
+        async for chain in generator:
+            if not buffer:
+                buffer = chain
+            else:
+                buffer.chain.extend(chain.chain)
+        if not buffer:
+            return
+        buffer.squash_plain()
+        await self.send(buffer)
+        return await super().send_streaming(generator)

astrbot/core/provider/__init__.py

@@ -1,5 +1,5 @@
 from .provider import Provider, Personality, STTProvider
 
-from .entites import ProviderMetaData
+from .entities import ProviderMetaData
 
 __all__ = ["Provider", "Personality", "ProviderMetaData", "STTProvider"]

astrbot/core/provider/entites.py

@@ -1,269 +1,19 @@
-import enum
-import base64
-import json
-from astrbot.core.utils.io import download_image_by_url
-from astrbot import logger
-from dataclasses import dataclass, field
-from typing import List, Dict, Type
-from .func_tool_manager import FuncCall
-from openai.types.chat.chat_completion import ChatCompletion
-from openai.types.chat.chat_completion_message_tool_call import (
-    ChatCompletionMessageToolCall,
+from astrbot.core.provider.entities import (
+    ProviderRequest,
+    ProviderType,
+    ProviderMetaData,
+    ToolCallsResult,
+    AssistantMessageSegment,
+    ToolCallMessageSegment,
+    LLMResponse,
 )
-from astrbot.core.db.po import Conversation
-from astrbot.core.message.message_event_result import MessageChain
-import astrbot.core.message.components as Comp
 
-
-class ProviderType(enum.Enum):
-    CHAT_COMPLETION = "chat_completion"
-    SPEECH_TO_TEXT = "speech_to_text"
-    TEXT_TO_SPEECH = "text_to_speech"
-
-
-@dataclass
-class ProviderMetaData:
-    type: str
-    """提供商适配器名称，如 openai, ollama"""
-    desc: str = ""
-    """提供商适配器描述."""
-    provider_type: ProviderType = ProviderType.CHAT_COMPLETION
-    cls_type: Type = None
-
-    default_config_tmpl: dict = None
-    """平台的默认配置模板"""
-    provider_display_name: str = None
-    """显示在 WebUI 配置页中的提供商名称，如空则是 type"""
-
-
-@dataclass
-class ToolCallMessageSegment:
-    """OpenAI 格式的上下文中 role 为 tool 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
-
-    tool_call_id: str
-    content: str
-    role: str = "tool"
-
-    def to_dict(self):
-        return {
-            "tool_call_id": self.tool_call_id,
-            "content": self.content,
-            "role": self.role,
-        }
-
-
-@dataclass
-class AssistantMessageSegment:
-    """OpenAI 格式的上下文中 role 为 assistant 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
-
-    content: str = None
-    tool_calls: List[ChatCompletionMessageToolCall | Dict] = None
-    role: str = "assistant"
-
-    def to_dict(self):
-        ret = {
-            "role": self.role,
-        }
-        if self.content:
-            ret["content"] = self.content
-        elif self.tool_calls:
-            ret["tool_calls"] = self.tool_calls
-        return ret
-
-
-@dataclass
-class ToolCallsResult:
-    """工具调用结果"""
-
-    tool_calls_info: AssistantMessageSegment
-    """函数调用的信息"""
-    tool_calls_result: List[ToolCallMessageSegment]
-    """函数调用的结果"""
-
-    def to_openai_messages(self) -> List[Dict]:
-        ret = [
-            self.tool_calls_info.to_dict(),
-            *[item.to_dict() for item in self.tool_calls_result],
-        ]
-        return ret
-
-
-@dataclass
-class ProviderRequest:
-    prompt: str
-    """提示词"""
-    session_id: str = ""
-    """会话 ID"""
-    image_urls: List[str] = None
-    """图片 URL 列表"""
-    func_tool: FuncCall = None
-    """可用的函数工具"""
-    contexts: List = None
-    """上下文。格式与 openai 的上下文格式一致：
-    参考 https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages
-    """
-    system_prompt: str = ""
-    """系统提示词"""
-    conversation: Conversation = None
-
-    tool_calls_result: ToolCallsResult = None
-    """附加的上次请求后工具调用的结果。参考: https://platform.openai.com/docs/guides/function-calling#handling-function-calls"""
-
-    def __repr__(self):
-        return f"ProviderRequest(prompt={self.prompt}, session_id={self.session_id}, image_urls={self.image_urls}, func_tool={self.func_tool}, contexts={self._print_friendly_context()}, system_prompt={self.system_prompt.strip()}, tool_calls_result={self.tool_calls_result})"
-
-    def __str__(self):
-        return self.__repr__()
-
-    def _print_friendly_context(self):
-        """打印友好的消息上下文。将 image_url 的值替换为 <Image>"""
-        if not self.contexts:
-            return f"prompt: {self.prompt}, image_count: {len(self.image_urls or [])}"
-
-        result_parts = []
-
-        for ctx in self.contexts:
-            role = ctx.get("role", "unknown")
-            content = ctx.get("content", "")
-
-            if isinstance(content, str):
-                result_parts.append(f"{role}: {content}")
-            elif isinstance(content, list):
-                msg_parts = []
-                image_count = 0
-
-                for item in content:
-                    item_type = item.get("type", "")
-
-                    if item_type == "text":
-                        msg_parts.append(item.get("text", ""))
-                    elif item_type == "image_url":
-                        image_count += 1
-
-                if image_count > 0:
-                    if msg_parts:
-                        msg_parts.append(f"[+{image_count} images]")
-                    else:
-                        msg_parts.append(f"[{image_count} images]")
-
-                result_parts.append(f"{role}: {''.join(msg_parts)}")
-
-        return result_parts
-
-    async def assemble_context(self) -> Dict:
-        """将请求(prompt 和 image_urls)包装成 OpenAI 的消息格式。"""
-        if self.image_urls:
-            user_content = {
-                "role": "user",
-                "content": [{"type": "text", "text": self.prompt}],
-            }
-            for image_url in self.image_urls:
-                if image_url.startswith("http"):
-                    image_path = await download_image_by_url(image_url)
-                    image_data = await self._encode_image_bs64(image_path)
-                elif image_url.startswith("file:///"):
-                    image_path = image_url.replace("file:///", "")
-                    image_data = await self._encode_image_bs64(image_path)
-                else:
-                    image_data = await self._encode_image_bs64(image_url)
-                if not image_data:
-                    logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
-                    continue
-                user_content["content"].append(
-                    {"type": "image_url", "image_url": {"url": image_data}}
-                )
-            return user_content
-        else:
-            return {"role": "user", "content": self.prompt}
-
-    async def _encode_image_bs64(self, image_url: str) -> str:
-        """将图片转换为 base64"""
-        if image_url.startswith("base64://"):
-            return image_url.replace("base64://", "data:image/jpeg;base64,")
-        with open(image_url, "rb") as f:
-            image_bs64 = base64.b64encode(f.read()).decode("utf-8")
-            return "data:image/jpeg;base64," + image_bs64
-        return ""
-
-
-@dataclass
-class LLMResponse:
-    role: str
-    """角色, assistant, tool, err"""
-    result_chain: MessageChain = None
-    """返回的消息链"""
-    tools_call_args: List[Dict[str, any]] = field(default_factory=list)
-    """工具调用参数"""
-    tools_call_name: List[str] = field(default_factory=list)
-    """工具调用名称"""
-    tools_call_ids: List[str] = field(default_factory=list)
-    """工具调用 ID"""
-
-    raw_completion: ChatCompletion = None
-    _new_record: Dict[str, any] = None
-
-    _completion_text: str = ""
-
-    def __init__(
-        self,
-        role: str,
-        completion_text: str = "",
-        result_chain: MessageChain = None,
-        tools_call_args: List[Dict[str, any]] = [],
-        tools_call_name: List[str] = [],
-        tools_call_ids: List[str] = [],
-        raw_completion: ChatCompletion = None,
-        _new_record: Dict[str, any] = None,
-    ):
-        """初始化 LLMResponse
-
-        Args:
-            role (str): 角色, assistant, tool, err
-            completion_text (str, optional): 返回的结果文本，已经过时，推荐使用 result_chain. Defaults to "".
-            result_chain (MessageChain, optional): 返回的消息链. Defaults to None.
-            tools_call_args (List[Dict[str, any]], optional): 工具调用参数. Defaults to None.
-            tools_call_name (List[str], optional): 工具调用名称. Defaults to None.
-            raw_completion (ChatCompletion, optional): 原始响应, OpenAI 格式. Defaults to None.
-        """
-        self.role = role
-        self.completion_text = completion_text
-        self.result_chain = result_chain
-        self.tools_call_args = tools_call_args
-        self.tools_call_name = tools_call_name
-        self.tools_call_ids = tools_call_ids
-        self.raw_completion = raw_completion
-        self._new_record = _new_record
-
-    @property
-    def completion_text(self):
-        if self.result_chain:
-            return self.result_chain.get_plain_text()
-        return self._completion_text
-
-    @completion_text.setter
-    def completion_text(self, value):
-        if self.result_chain:
-            self.result_chain.chain = [
-                comp
-                for comp in self.result_chain.chain
-                if not isinstance(comp, Comp.Plain)
-            ]  # 清空 Plain 组件
-            self.result_chain.chain.insert(0, Comp.Plain(value))
-        else:
-            self._completion_text = value
-
-    def to_openai_tool_calls(self) -> List[Dict]:
-        """将工具调用信息转换为 OpenAI 格式"""
-        ret = []
-        for idx, tool_call_arg in enumerate(self.tools_call_args):
-            ret.append(
-                {
-                    "id": self.tools_call_ids[idx],
-                    "function": {
-                        "name": self.tools_call_name[idx],
-                        "arguments": json.dumps(tool_call_arg),
-                    },
-                    "type": "function",
-                }
-            )
-        return ret
+__all__ = [
+    "ProviderRequest",
+    "ProviderType",
+    "ProviderMetaData",
+    "ToolCallsResult",
+    "AssistantMessageSegment",
+    "ToolCallMessageSegment",
+    "LLMResponse",
+]

astrbot/core/provider/entities.py

@@ -0,0 +1,281 @@
+import enum
+import base64
+import json
+from astrbot.core.utils.io import download_image_by_url
+from astrbot import logger
+from dataclasses import dataclass, field
+from typing import List, Dict, Type
+from .func_tool_manager import FuncCall
+from openai.types.chat.chat_completion import ChatCompletion
+from openai.types.chat.chat_completion_message_tool_call import (
+    ChatCompletionMessageToolCall,
+)
+from astrbot.core.db.po import Conversation
+from astrbot.core.message.message_event_result import MessageChain
+import astrbot.core.message.components as Comp
+
+
+class ProviderType(enum.Enum):
+    CHAT_COMPLETION = "chat_completion"
+    SPEECH_TO_TEXT = "speech_to_text"
+    TEXT_TO_SPEECH = "text_to_speech"
+
+
+@dataclass
+class ProviderMetaData:
+    type: str
+    """提供商适配器名称，如 openai, ollama"""
+    desc: str = ""
+    """提供商适配器描述."""
+    provider_type: ProviderType = ProviderType.CHAT_COMPLETION
+    cls_type: Type = None
+
+    default_config_tmpl: dict = None
+    """平台的默认配置模板"""
+    provider_display_name: str = None
+    """显示在 WebUI 配置页中的提供商名称，如空则是 type"""
+
+
+@dataclass
+class ToolCallMessageSegment:
+    """OpenAI 格式的上下文中 role 为 tool 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
+
+    tool_call_id: str
+    content: str
+    role: str = "tool"
+
+    def to_dict(self):
+        return {
+            "tool_call_id": self.tool_call_id,
+            "content": self.content,
+            "role": self.role,
+        }
+
+
+@dataclass
+class AssistantMessageSegment:
+    """OpenAI 格式的上下文中 role 为 assistant 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
+
+    content: str = None
+    tool_calls: List[ChatCompletionMessageToolCall | Dict] = None
+    role: str = "assistant"
+
+    def to_dict(self):
+        ret = {
+            "role": self.role,
+        }
+        if self.content:
+            ret["content"] = self.content
+        elif self.tool_calls:
+            ret["tool_calls"] = self.tool_calls
+        return ret
+
+
+@dataclass
+class ToolCallsResult:
+    """工具调用结果"""
+
+    tool_calls_info: AssistantMessageSegment
+    """函数调用的信息"""
+    tool_calls_result: List[ToolCallMessageSegment]
+    """函数调用的结果"""
+
+    def to_openai_messages(self) -> List[Dict]:
+        ret = [
+            self.tool_calls_info.to_dict(),
+            *[item.to_dict() for item in self.tool_calls_result],
+        ]
+        return ret
+
+
+@dataclass
+class ProviderRequest:
+    prompt: str
+    """提示词"""
+    session_id: str = ""
+    """会话 ID"""
+    image_urls: List[str] = None
+    """图片 URL 列表"""
+    func_tool: FuncCall = None
+    """可用的函数工具"""
+    contexts: List = None
+    """上下文。格式与 openai 的上下文格式一致：
+    参考 https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages
+    """
+    system_prompt: str = ""
+    """系统提示词"""
+    conversation: Conversation = None
+
+    tool_calls_result: ToolCallsResult = None
+    """附加的上次请求后工具调用的结果。参考: https://platform.openai.com/docs/guides/function-calling#handling-function-calls"""
+
+    def __repr__(self):
+        return f"ProviderRequest(prompt={self.prompt}, session_id={self.session_id}, image_urls={self.image_urls}, func_tool={self.func_tool}, contexts={self._print_friendly_context()}, system_prompt={self.system_prompt.strip()}, tool_calls_result={self.tool_calls_result})"
+
+    def __str__(self):
+        return self.__repr__()
+
+    def _print_friendly_context(self):
+        """打印友好的消息上下文。将 image_url 的值替换为 <Image>"""
+        if not self.contexts:
+            return f"prompt: {self.prompt}, image_count: {len(self.image_urls or [])}"
+
+        result_parts = []
+
+        for ctx in self.contexts:
+            role = ctx.get("role", "unknown")
+            content = ctx.get("content", "")
+
+            if isinstance(content, str):
+                result_parts.append(f"{role}: {content}")
+            elif isinstance(content, list):
+                msg_parts = []
+                image_count = 0
+
+                for item in content:
+                    item_type = item.get("type", "")
+
+                    if item_type == "text":
+                        msg_parts.append(item.get("text", ""))
+                    elif item_type == "image_url":
+                        image_count += 1
+
+                if image_count > 0:
+                    if msg_parts:
+                        msg_parts.append(f"[+{image_count} images]")
+                    else:
+                        msg_parts.append(f"[{image_count} images]")
+
+                result_parts.append(f"{role}: {''.join(msg_parts)}")
+
+        return result_parts
+
+    async def assemble_context(self) -> Dict:
+        """将请求(prompt 和 image_urls)包装成 OpenAI 的消息格式。"""
+        if self.image_urls:
+            user_content = {
+                "role": "user",
+                "content": [{"type": "text", "text": self.prompt}],
+            }
+            for image_url in self.image_urls:
+                if image_url.startswith("http"):
+                    image_path = await download_image_by_url(image_url)
+                    image_data = await self._encode_image_bs64(image_path)
+                elif image_url.startswith("file:///"):
+                    image_path = image_url.replace("file:///", "")
+                    image_data = await self._encode_image_bs64(image_path)
+                else:
+                    image_data = await self._encode_image_bs64(image_url)
+                if not image_data:
+                    logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                    continue
+                user_content["content"].append(
+                    {"type": "image_url", "image_url": {"url": image_data}}
+                )
+            return user_content
+        else:
+            return {"role": "user", "content": self.prompt}
+
+    async def _encode_image_bs64(self, image_url: str) -> str:
+        """将图片转换为 base64"""
+        if image_url.startswith("base64://"):
+            return image_url.replace("base64://", "data:image/jpeg;base64,")
+        with open(image_url, "rb") as f:
+            image_bs64 = base64.b64encode(f.read()).decode("utf-8")
+            return "data:image/jpeg;base64," + image_bs64
+        return ""
+
+
+@dataclass
+class LLMResponse:
+    role: str
+    """角色, assistant, tool, err"""
+    result_chain: MessageChain = None
+    """返回的消息链"""
+    tools_call_args: List[Dict[str, any]] = field(default_factory=list)
+    """工具调用参数"""
+    tools_call_name: List[str] = field(default_factory=list)
+    """工具调用名称"""
+    tools_call_ids: List[str] = field(default_factory=list)
+    """工具调用 ID"""
+
+    raw_completion: ChatCompletion = None
+    _new_record: Dict[str, any] = None
+
+    _completion_text: str = ""
+
+    is_chunk: bool = False
+    """是否是流式输出的单个 Chunk"""
+
+    def __init__(
+        self,
+        role: str,
+        completion_text: str = "",
+        result_chain: MessageChain = None,
+        tools_call_args: List[Dict[str, any]] = None,
+        tools_call_name: List[str] = None,
+        tools_call_ids: List[str] = None,
+        raw_completion: ChatCompletion = None,
+        _new_record: Dict[str, any] = None,
+        is_chunk: bool = False,
+    ):
+        """初始化 LLMResponse
+
+        Args:
+            role (str): 角色, assistant, tool, err
+            completion_text (str, optional): 返回的结果文本，已经过时，推荐使用 result_chain. Defaults to "".
+            result_chain (MessageChain, optional): 返回的消息链. Defaults to None.
+            tools_call_args (List[Dict[str, any]], optional): 工具调用参数. Defaults to None.
+            tools_call_name (List[str], optional): 工具调用名称. Defaults to None.
+            raw_completion (ChatCompletion, optional): 原始响应, OpenAI 格式. Defaults to None.
+        """
+        if tools_call_args is None:
+            tools_call_args = []
+        if tools_call_name is None:
+            tools_call_name = []
+        if tools_call_ids is None:
+            tools_call_ids = []
+
+        self.role = role
+        self.completion_text = completion_text
+        self.result_chain = result_chain
+        self.tools_call_args = tools_call_args
+        self.tools_call_name = tools_call_name
+        self.tools_call_ids = tools_call_ids
+        self.raw_completion = raw_completion
+        self._new_record = _new_record
+        self.is_chunk = is_chunk
+
+    @property
+    def completion_text(self):
+        if self.result_chain:
+            return self.result_chain.get_plain_text()
+        return self._completion_text
+
+    @completion_text.setter
+    def completion_text(self, value):
+        if self.result_chain:
+            self.result_chain.chain = [
+                comp
+                for comp in self.result_chain.chain
+                if not isinstance(comp, Comp.Plain)
+            ]  # 清空 Plain 组件
+            self.result_chain.chain.insert(0, Comp.Plain(value))
+        else:
+            self._completion_text = value
+
+    def to_openai_tool_calls(self) -> List[Dict]:
+        """将工具调用信息转换为 OpenAI 格式"""
+        ret = []
+        for idx, tool_call_arg in enumerate(self.tools_call_args):
+            ret.append(
+                {
+                    "id": self.tools_call_ids[idx],
+                    "function": {
+                        "name": self.tools_call_name[idx],
+                        "arguments": json.dumps(tool_call_arg),
+                    },
+                    "type": "function",
+                }
+            )
+        return ret

astrbot/core/provider/func_tool_manager.py

@@ -339,7 +339,7 @@ class FuncCall:
             ]
             logger.info(f"已关闭 MCP 服务 {name}")
 
-    def get_func_desc_openai_style(self) -> list:
+    def get_func_desc_openai_style(self, omit_empty_parameter_field = False) -> list:
         """
         获得 OpenAI API 风格的**已经激活**的工具描述
         """
@@ -348,16 +348,19 @@ class FuncCall:
         for f in self.func_list:
             if not f.active:
                 continue
-            _l.append(
-                {
-                    "type": "function",
-                    "function": {
-                        "name": f.name,
-                        "parameters": f.parameters,
-                        "description": f.description,
-                    },
-                }
-            )
+            func_ = {
+                "type": "function",
+                "function": {
+                    "name": f.name,
+                    # "parameters": f.parameters,
+                    "description": f.description,
+                },
+            }
+            func_["function"]["parameters"] = f.parameters
+            if not f.parameters.get("properties") and omit_empty_parameter_field:
+                # 如果 properties 为空，并且 omit_empty_parameter_field 为 True，则删除 parameters 字段
+                del func_["function"]["parameters"]
+            _l.append(func_)
         return _l
 
     def get_func_desc_anthropic_style(self) -> list:

astrbot/core/provider/manager.py

@@ -2,7 +2,7 @@ import traceback
 import asyncio
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from .provider import Provider, STTProvider, TTSProvider, Personality
-from .entites import ProviderType
+from .entities import ProviderType
 from typing import List
 from astrbot.core.db import BaseDatabase
 from .register import provider_cls_map, llm_tools

astrbot/core/provider/provider.py

@@ -1,9 +1,9 @@
 import abc
 from typing import List
 from astrbot.core.db import BaseDatabase
-from typing import TypedDict
+from typing import TypedDict, AsyncGenerator
 from astrbot.core.provider.func_tool_manager import FuncCall
-from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
+from astrbot.core.provider.entities import LLMResponse, ToolCallsResult
 from dataclasses import dataclass
 
 
@@ -108,7 +108,35 @@ class Provider(AbstractProvider):
             - 如果传入了 image_urls，将会在对话时附上图片。如果模型不支持图片输入，将会抛出错误。
             - 如果传入了 tools，将会使用 tools 进行 Function-calling。如果模型不支持 Function-calling，将会抛出错误。
         """
-        raise NotImplementedError()
+        ...
+
+    async def text_chat_stream(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = None,
+        func_tool: FuncCall = None,
+        contexts: List = None,
+        system_prompt: str = None,
+        tool_calls_result: ToolCallsResult = None,
+        **kwargs,
+    ) -> AsyncGenerator[LLMResponse, None]:
+        """获得 LLM 的流式文本对话结果。会使用当前的模型进行对话。在生成的最后会返回一次完整的结果。
+
+        Args:
+            prompt: 提示词
+            session_id: 会话 ID(此属性已经被废弃)
+            image_urls: 图片 URL 列表
+            tools: Function-calling 工具
+            contexts: 上下文
+            tool_calls_result: 回传给 LLM 的工具调用结果。参考: https://platform.openai.com/docs/guides/function-calling
+            kwargs: 其他参数
+
+        Notes:
+            - 如果传入了 image_urls，将会在对话时附上图片。如果模型不支持图片输入，将会抛出错误。
+            - 如果传入了 tools，将会使用 tools 进行 Function-calling。如果模型不支持 Function-calling，将会抛出错误。
+        """
+        ...
 
     async def pop_record(self, context: List):
         """

astrbot/core/provider/register.py

@@ -1,5 +1,5 @@
 from typing import List, Dict
-from .entites import ProviderMetaData, ProviderType
+from .entities import ProviderMetaData, ProviderType
 from astrbot.core import logger
 from .func_tool_manager import FuncCall
 

astrbot/core/provider/sources/anthropic_source.py

@@ -10,7 +10,8 @@ from astrbot.api.provider import Provider, Personality
 from astrbot import logger
 from astrbot.core.provider.func_tool_manager import FuncCall
 from ..register import register_provider_adapter
-from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.provider.entities import LLMResponse, ToolCallsResult
 from .openai_source import ProviderOpenAIOfficial
 
 
@@ -72,7 +73,8 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
         if content.type == "text":
             # text completion
             completion_text = str(content.text).strip()
-            llm_response.completion_text = completion_text
+            # llm_response.completion_text = completion_text
+            llm_response.result_chain = MessageChain().message(completion_text)
 
         # Anthropic每次只返回一个函数调用
         if completion.stop_reason == "tool_use":
@@ -145,7 +147,7 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
                             messages=context_query, **model_config
                         )
                         llm_response = LLMResponse("assistant")
-                        llm_response.completion_text = response.content[0].text
+                        llm_response.result_chain = MessageChain().message(response.content[0].text)
                         llm_response.raw_completion = response
                         return llm_response
                     except Exception as e:
@@ -160,6 +162,33 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
 
         return llm_response
 
+    async def text_chat_stream(
+        self,
+        prompt,
+        session_id=None,
+        image_urls=...,
+        func_tool=None,
+        contexts=...,
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ):
+        # raise NotImplementedError("This method is not implemented yet.")
+        # 调用 text_chat 模拟流式
+        llm_response = await self.text_chat(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+        )
+        llm_response.is_chunk = True
+        yield llm_response
+        llm_response.is_chunk = False
+        yield llm_response
+
     async def assemble_context(self, text: str, image_urls: List[str] = None):
         """组装上下文，支持文本和图片"""
         if not image_urls:

astrbot/core/provider/sources/dashscope_source.py

@@ -3,10 +3,11 @@ import asyncio
 import functools
 from typing import List
 from .. import Provider, Personality
-from ..entites import LLMResponse
+from ..entities import LLMResponse
 from ..func_tool_manager import FuncCall
 from astrbot.core.db import BaseDatabase
 from ..register import register_provider_adapter
+from astrbot.core.message.message_event_result import MessageChain
 from .openai_source import ProviderOpenAIOfficial
 from astrbot.core import logger, sp
 from dashscope import Application
@@ -132,7 +133,9 @@ class ProviderDashscope(ProviderOpenAIOfficial):
             )
             return LLMResponse(
                 role="err",
-                completion_text=f"阿里云百炼请求失败: message={response.message} code={response.status_code}",
+                result_chain=MessageChain().message(
+                    f"阿里云百炼请求失败: message={response.message} code={response.status_code}"
+                ),
             )
 
         output_text = response.output.get("text", "")
@@ -141,11 +144,45 @@ class ProviderDashscope(ProviderOpenAIOfficial):
         if self.output_reference and response.output.get("doc_references", None):
             ref_str = ""
             for ref in response.output.get("doc_references", []):
-                ref_title = ref.get("title", "") if ref.get("title") else ref.get("doc_name", "")
+                ref_title = (
+                    ref.get("title", "")
+                    if ref.get("title")
+                    else ref.get("doc_name", "")
+                )
                 ref_str += f"{ref['index_id']}. {ref_title}\n"
             output_text += f"\n\n回答来源:\n{ref_str}"
 
-        return LLMResponse(role="assistant", completion_text=output_text)
+        llm_response = LLMResponse("assistant")
+        llm_response.result_chain = MessageChain().message(output_text)
+
+        return llm_response
+
+    async def text_chat_stream(
+        self,
+        prompt,
+        session_id=None,
+        image_urls=...,
+        func_tool=None,
+        contexts=...,
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ):
+        # raise NotImplementedError("This method is not implemented yet.")
+        # 调用 text_chat 模拟流式
+        llm_response = await self.text_chat(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+        )
+        llm_response.is_chunk = True
+        yield llm_response
+        llm_response.is_chunk = False
+        yield llm_response
 
     async def forget(self, session_id):
         return True

astrbot/core/provider/sources/dashscope_tts.py

@@ -3,7 +3,7 @@ import uuid
 import asyncio
 from dashscope.audio.tts_v2 import *
 from ..provider import TTSProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from ..register import register_provider_adapter
 
 
@@ -20,7 +20,7 @@ class ProviderDashscopeTTSAPI(TTSProvider):
         self.chosen_api_key: str = provider_config.get("api_key", "")
         self.voice: str = provider_config.get("dashscope_tts_voice", "loongstella")
         self.set_model(provider_config.get("model", None))
-        self.timeout_ms = float(provider_config.get("timeout", 20))*1000
+        self.timeout_ms = float(provider_config.get("timeout", 20)) * 1000
 
         dashscope.api_key = self.chosen_api_key
         self.synthesizer = SpeechSynthesizer(

astrbot/core/provider/sources/dify_source.py

@@ -2,7 +2,7 @@ import astrbot.core.message.components as Comp
 
 from typing import List
 from .. import Provider, Personality
-from ..entites import LLMResponse
+from ..entities import LLMResponse
 from ..func_tool_manager import FuncCall
 from astrbot.core.db import BaseDatabase
 from ..register import register_provider_adapter
@@ -102,7 +102,7 @@ class ProviderDify(Provider):
 
         try:
             match self.api_type:
-                case "chat" | "agent":
+                case "chat" | "agent" | "chatflow":
                     if not prompt:
                         prompt = "请描述这张图片。"
 
@@ -189,6 +189,33 @@ class ProviderDify(Provider):
 
         return LLMResponse(role="assistant", result_chain=chain)
 
+    async def text_chat_stream(
+        self,
+        prompt,
+        session_id=None,
+        image_urls=...,
+        func_tool=None,
+        contexts=...,
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ):
+        # raise NotImplementedError("This method is not implemented yet.")
+        # 调用 text_chat 模拟流式
+        llm_response = await self.text_chat(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+        )
+        llm_response.is_chunk = True
+        yield llm_response
+        llm_response.is_chunk = False
+        yield llm_response
+
     async def parse_dify_result(self, chunk: dict | str) -> MessageChain:
         if isinstance(chunk, str):
             # Chat

astrbot/core/provider/sources/edge_tts_source.py

@@ -4,7 +4,7 @@ import edge_tts
 import subprocess
 import asyncio
 from ..provider import TTSProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from ..register import register_provider_adapter
 from astrbot.core import logger
 

astrbot/core/provider/sources/fishaudio_tts_api_source.py

@@ -4,7 +4,7 @@ from pydantic import BaseModel, conint
 from httpx import AsyncClient
 from typing import Annotated, Literal
 from ..provider import TTSProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from ..register import register_provider_adapter
 
 

astrbot/core/provider/sources/gemini_source.py

@@ -12,7 +12,7 @@ from astrbot import logger
 from astrbot.core.provider.func_tool_manager import FuncCall
 from typing import List
 from ..register import register_provider_adapter
-from astrbot.core.provider.entites import LLMResponse
+from astrbot.core.provider.entities import LLMResponse
 
 
 class SimpleGoogleGenAIClient:
@@ -78,6 +78,39 @@ class SimpleGoogleGenAIClient:
                 logger.error(f"Gemini 返回了非 json 数据: {text}")
                 raise Exception("Gemini 返回了非 json 数据： ")
 
+    async def stream_generate_content(
+        self,
+        contents: List[dict],
+        model: str = "gemini-1.5-flash",
+        system_instruction: str = "",
+        tools: dict = None,
+        modalities: List[str] = ["Text"],
+        safety_settings: List[dict] = [],
+    ):
+        payload = {}
+        if system_instruction:
+            payload["system_instruction"] = {"parts": {"text": system_instruction}}
+        if tools:
+            payload["tools"] = [tools]
+        payload["contents"] = contents
+        payload["generationConfig"] = {
+            "responseModalities": modalities,
+            "stream": True,
+        }
+        payload["safetySettings"] = [
+            {"category": s["category"], "threshold": s["threshold"]}
+            for s in safety_settings
+        ]
+        logger.debug(f"payload: {payload}")
+        request_url = (
+            f"{self.api_base}/v1beta/models/{model}:streamGenerateContent?key={self.api_key}"
+        )
+        async with self.client.post(
+            request_url, json=payload, timeout=self.timeout
+        ) as resp:
+            async for line in resp.content:
+                if line:
+                    yield line
 
 @register_provider_adapter(
     "googlegenai_chat_completion", "Google Gemini Chat Completion 提供商适配器"
@@ -147,7 +180,7 @@ class ProviderGoogleGenAI(Provider):
             if message["role"] == "user":
                 if isinstance(message["content"], str):
                     if not message["content"]:
-                        message["content"] = ""
+                        message["content"] = " "
 
                     google_genai_conversation.append(
                         {"role": "user", "parts": [{"text": message["content"]}]}
@@ -176,7 +209,7 @@ class ProviderGoogleGenAI(Provider):
             elif message["role"] == "assistant":
                 if "content" in message:
                     if not message["content"]:
-                        message["content"] = ""
+                        message["content"] = " "
                     google_genai_conversation.append(
                         {"role": "model", "parts": [{"text": message["content"]}]}
                     )
@@ -338,6 +371,33 @@ class ProviderGoogleGenAI(Provider):
 
         return llm_response
 
+    async def text_chat_stream(
+        self,
+        prompt,
+        session_id=None,
+        image_urls=...,
+        func_tool=None,
+        contexts=...,
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ):
+        # raise NotImplementedError("This method is not implemented yet.")
+        # 调用 text_chat 模拟流式
+        llm_response = await self.text_chat(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+        )
+        llm_response.is_chunk = True
+        yield llm_response
+        llm_response.is_chunk = False
+        yield llm_response
+
     def get_current_key(self) -> str:
         return self.client.api_key
 

astrbot/core/provider/sources/gsvi_tts_source.py

@@ -2,7 +2,7 @@ import uuid
 import aiohttp
 import urllib.parse
 from ..provider import TTSProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from ..register import register_provider_adapter
 
 

astrbot/core/provider/sources/llmtuner_source.py

@@ -2,7 +2,7 @@ import os
 from llmtuner.chat import ChatModel
 from typing import List
 from .. import Provider
-from ..entites import LLMResponse
+from ..entities import LLMResponse
 from ..func_tool_manager import FuncCall
 from astrbot.core.db import BaseDatabase
 from ..register import register_provider_adapter
@@ -95,6 +95,33 @@ class LLMTunerModelLoader(Provider):
 
         return llm_response
 
+    async def text_chat_stream(
+        self,
+        prompt,
+        session_id=None,
+        image_urls=...,
+        func_tool=None,
+        contexts=...,
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ):
+        # raise NotImplementedError("This method is not implemented yet.")
+        # 调用 text_chat 模拟流式
+        llm_response = await self.text_chat(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+        )
+        llm_response.is_chunk = True
+        yield llm_response
+        llm_response.is_chunk = False
+        yield llm_response
+
     async def get_current_key(self):
         return "none"
 

astrbot/core/provider/sources/openai_source.py

@@ -4,19 +4,24 @@ import os
 import inspect
 import random
 import asyncio
+import astrbot.core.message.components as Comp
 
 from openai import AsyncOpenAI, AsyncAzureOpenAI
 from openai.types.chat.chat_completion import ChatCompletion
+
+# from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
 from openai._exceptions import NotFoundError, UnprocessableEntityError
+from openai.lib.streaming.chat._completions import ChatCompletionStreamState
 from astrbot.core.utils.io import download_image_by_url
+from astrbot.core.message.message_event_result import MessageChain
 
 from astrbot.core.db import BaseDatabase
 from astrbot.api.provider import Provider, Personality
 from astrbot import logger
 from astrbot.core.provider.func_tool_manager import FuncCall
-from typing import List
+from typing import List, AsyncGenerator
 from ..register import register_provider_adapter
-from astrbot.core.provider.entites import LLMResponse
+from astrbot.core.provider.entities import LLMResponse
 
 
 @register_provider_adapter(
@@ -82,7 +87,11 @@ class ProviderOpenAIOfficial(Provider):
 
     async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
         if tools:
-            tool_list = tools.get_func_desc_openai_style()
+            model = payloads.get("model", "").lower()
+            omit_empty_param_field = "gemini" in model
+            tool_list = tools.get_func_desc_openai_style(
+                omit_empty_parameter_field=omit_empty_param_field
+            )
             if tool_list:
                 payloads["tools"] = tool_list
 
@@ -107,16 +116,76 @@ class ProviderOpenAIOfficial(Provider):
 
         logger.debug(f"completion: {completion}")
 
+        llm_response = await self.parse_openai_completion(completion, tools)
+
+        return llm_response
+
+    async def _query_stream(
+        self, payloads: dict, tools: FuncCall
+    ) -> AsyncGenerator[LLMResponse, None]:
+        """流式查询API，逐步返回结果"""
+        if tools:
+            model = payloads.get("model", "").lower()
+            omit_empty_param_field = "gemini" in model
+            tool_list = tools.get_func_desc_openai_style(
+                omit_empty_parameter_field=omit_empty_param_field
+            )
+            if tool_list:
+                payloads["tools"] = tool_list
+
+        # 不在默认参数中的参数放在 extra_body 中
+        extra_body = {}
+        to_del = []
+        for key in payloads.keys():
+            if key not in self.default_params:
+                extra_body[key] = payloads[key]
+                to_del.append(key)
+        for key in to_del:
+            del payloads[key]
+
+        stream = await self.client.chat.completions.create(
+            **payloads, stream=True, extra_body=extra_body
+        )
+
+        llm_response = LLMResponse("assistant", is_chunk=True)
+
+        state = ChatCompletionStreamState()
+
+        async for chunk in stream:
+            try:
+                state.handle_chunk(chunk)
+            except Exception as e:
+                logger.warning("Saving chunk state error: " + str(e))
+            if len(chunk.choices) == 0:
+                continue
+            delta = chunk.choices[0].delta
+            # 处理文本内容
+            if delta.content:
+                completion_text = delta.content
+                llm_response.result_chain = MessageChain(
+                    chain=[Comp.Plain(completion_text)]
+                )
+                yield llm_response
+
+        final_completion = state.get_final_completion()
+        llm_response = await self.parse_openai_completion(final_completion, tools)
+
+        yield llm_response
+
+    async def parse_openai_completion(
+        self, completion: ChatCompletion, tools: FuncCall
+    ):
+        """解析 OpenAI 的 ChatCompletion 响应"""
+        llm_response = LLMResponse("assistant")
+
         if len(completion.choices) == 0:
             raise Exception("API 返回的 completion 为空。")
         choice = completion.choices[0]
 
-        llm_response = LLMResponse("assistant")
-
         if choice.message.content:
             # text completion
             completion_text = str(choice.message.content).strip()
-            llm_response.completion_text = completion_text
+            llm_response.result_chain = MessageChain().message(completion_text)
 
         if choice.message.tool_calls:
             # tools call (function calling)
@@ -148,7 +217,7 @@ class ProviderOpenAIOfficial(Provider):
 
         return llm_response
 
-    async def text_chat(
+    async def _prepare_chat_payload(
         self,
         prompt: str,
         session_id: str = None,
@@ -158,7 +227,8 @@ class ProviderOpenAIOfficial(Provider):
         system_prompt=None,
         tool_calls_result=None,
         **kwargs,
-    ) -> LLMResponse:
+    ) -> tuple:
+        """准备聊天所需的有效载荷和上下文"""
         new_record = await self.assemble_context(prompt, image_urls)
         context_query = [*contexts, new_record]
         if system_prompt:
@@ -177,8 +247,117 @@ class ProviderOpenAIOfficial(Provider):
 
         payloads = {"messages": context_query, **model_config}
 
-        llm_response = None
+        return payloads, context_query, func_tool
 
+    async def _handle_api_error(
+        self,
+        e: Exception,
+        payloads: dict,
+        context_query: list,
+        func_tool: FuncCall,
+        chosen_key: str,
+        available_api_keys: List[str],
+        retry_cnt: int,
+        max_retries: int,
+    ) -> tuple:
+        """处理API错误并尝试恢复"""
+        if "429" in str(e):
+            logger.warning(
+                f"API 调用过于频繁，尝试使用其他 Key 重试。当前 Key: {chosen_key[:12]}"
+            )
+            # 最后一次不等待
+            if retry_cnt < max_retries - 1:
+                await asyncio.sleep(1)
+            available_api_keys.remove(chosen_key)
+            if len(available_api_keys) > 0:
+                chosen_key = random.choice(available_api_keys)
+                return (
+                    False,
+                    chosen_key,
+                    available_api_keys,
+                    payloads,
+                    context_query,
+                    func_tool,
+                )
+            else:
+                raise e
+        elif "maximum context length" in str(e):
+            logger.warning(
+                f"上下文长度超过限制。尝试弹出最早的记录然后重试。当前记录条数: {len(context_query)}"
+            )
+            await self.pop_record(context_query)
+            payloads["messages"] = context_query
+            return (
+                False,
+                chosen_key,
+                available_api_keys,
+                payloads,
+                context_query,
+                func_tool,
+            )
+        elif "The model is not a VLM" in str(e):  # siliconcloud
+            # 尝试删除所有 image
+            new_contexts = await self._remove_image_from_context(context_query)
+            payloads["messages"] = new_contexts
+            context_query = new_contexts
+            return (
+                False,
+                chosen_key,
+                available_api_keys,
+                payloads,
+                context_query,
+                func_tool,
+            )
+        elif (
+            "Function calling is not enabled" in str(e)
+            or ("tool" in str(e).lower() and "support" in str(e).lower())
+            or ("function" in str(e).lower() and "support" in str(e).lower())
+        ):
+            # openai, ollama, gemini openai, siliconcloud 的错误提示与 code 不统一，只能通过字符串匹配
+            logger.info(
+                f"{self.get_model()} 不支持函数工具调用，已自动去除，不影响使用。"
+            )
+            if "tools" in payloads:
+                del payloads["tools"]
+            return False, chosen_key, available_api_keys, payloads, context_query, None
+        else:
+            logger.error(f"发生了错误。Provider 配置如下: {self.provider_config}")
+
+            if "tool" in str(e).lower() and "support" in str(e).lower():
+                logger.error("疑似该模型不支持函数调用工具调用。请输入 /tool off_all")
+
+            if "Connection error." in str(e):
+                proxy = os.environ.get("http_proxy", None)
+                if proxy:
+                    logger.error(
+                        f"可能为代理原因，请检查代理是否正常。当前代理: {proxy}"
+                    )
+
+            raise e
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts=[],
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ) -> LLMResponse:
+        payloads, context_query, func_tool = await self._prepare_chat_payload(
+            prompt,
+            session_id,
+            image_urls,
+            func_tool,
+            contexts,
+            system_prompt,
+            tool_calls_result,
+            **kwargs,
+        )
+
+        llm_response = None
         max_retries = 10
         available_api_keys = self.api_keys.copy()
         chosen_key = random.choice(available_api_keys)
@@ -197,64 +376,97 @@ class ProviderOpenAIOfficial(Provider):
                 payloads["messages"] = new_contexts
                 context_query = new_contexts
             except Exception as e:
-                if "429" in str(e):
-                    logger.warning(
-                        f"API 调用过于频繁，尝试使用其他 Key 重试。当前 Key: {chosen_key[:12]}"
-                    )
-                    # 最后一次不等待
-                    if retry_cnt < max_retries - 1:
-                        await asyncio.sleep(1)
-                    available_api_keys.remove(chosen_key)
-                    if len(available_api_keys) > 0:
-                        chosen_key = random.choice(available_api_keys)
-                        continue
-                    else:
-                        raise e
-                elif "maximum context length" in str(e):
-                    logger.warning(
-                        f"上下文长度超过限制。尝试弹出最早的记录然后重试。当前记录条数: {len(context_query)}"
-                    )
-                    await self.pop_record(context_query)
-                elif "The model is not a VLM" in str(e):  # siliconcloud
-                    # 尝试删除所有 image
-                    new_contexts = await self._remove_image_from_context(context_query)
-                    payloads["messages"] = new_contexts
-                elif (
-                    "Function calling is not enabled" in str(e)
-                    or ("tool" in str(e).lower() and "support" in str(e).lower())
-                    or ("function" in str(e).lower() and "support" in str(e).lower())
-                ):
-                    # openai, ollama, gemini openai, siliconcloud 的错误提示与 code 不统一，只能通过字符串匹配
-                    logger.info(
-                        f"{self.get_model()} 不支持函数工具调用，已自动去除，不影响使用。"
-                    )
-                    if "tools" in payloads:
-                        del payloads["tools"]
-                    func_tool = None
-                else:
-                    logger.error(
-                        f"发生了错误。Provider 配置如下: {self.provider_config}"
-                    )
-
-                    if "tool" in str(e).lower() and "support" in str(e).lower():
-                        logger.error(
-                            "疑似该模型不支持函数调用工具调用。请输入 /tool off_all"
-                        )
-
-                    if "Connection error." in str(e):
-                        proxy = os.environ.get("http_proxy", None)
-                        if proxy:
-                            logger.error(
-                                f"可能为代理原因，请检查代理是否正常。当前代理: {proxy}"
-                            )
-
-                    raise e
+                (
+                    success,
+                    chosen_key,
+                    available_api_keys,
+                    payloads,
+                    context_query,
+                    func_tool,
+                ) = await self._handle_api_error(
+                    e,
+                    payloads,
+                    context_query,
+                    func_tool,
+                    chosen_key,
+                    available_api_keys,
+                    retry_cnt,
+                    max_retries,
+                )
+                if success:
+                    break
 
         if retry_cnt == max_retries - 1:
             logger.error(f"API 调用失败，重试 {max_retries} 次仍然失败。")
             raise e
         return llm_response
 
+    async def text_chat_stream(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts=[],
+        system_prompt=None,
+        tool_calls_result=None,
+        **kwargs,
+    ) -> AsyncGenerator[LLMResponse, None]:
+        """流式对话，与服务商交互并逐步返回结果"""
+        payloads, context_query, func_tool = await self._prepare_chat_payload(
+            prompt,
+            session_id,
+            image_urls,
+            func_tool,
+            contexts,
+            system_prompt,
+            tool_calls_result,
+            **kwargs,
+        )
+
+        max_retries = 10
+        available_api_keys = self.api_keys.copy()
+        chosen_key = random.choice(available_api_keys)
+
+        e = None
+        retry_cnt = 0
+        for retry_cnt in range(max_retries):
+            try:
+                self.client.api_key = chosen_key
+                async for response in self._query_stream(payloads, func_tool):
+                    yield response
+                break
+            except UnprocessableEntityError as e:
+                logger.warning(f"不可处理的实体错误：{e}，尝试删除图片。")
+                # 尝试删除所有 image
+                new_contexts = await self._remove_image_from_context(context_query)
+                payloads["messages"] = new_contexts
+                context_query = new_contexts
+            except Exception as e:
+                (
+                    success,
+                    chosen_key,
+                    available_api_keys,
+                    payloads,
+                    context_query,
+                    func_tool,
+                ) = await self._handle_api_error(
+                    e,
+                    payloads,
+                    context_query,
+                    func_tool,
+                    chosen_key,
+                    available_api_keys,
+                    retry_cnt,
+                    max_retries,
+                )
+                if success:
+                    break
+
+        if retry_cnt == max_retries - 1:
+            logger.error(f"API 调用失败，重试 {max_retries} 次仍然失败。")
+            raise e
+
     async def _remove_image_from_context(self, contexts: List):
         """
         从上下文中删除所有带有 image 的记录

astrbot/core/provider/sources/openai_tts_api_source.py

@@ -1,7 +1,7 @@
 import uuid
 from openai import AsyncOpenAI, NOT_GIVEN
 from ..provider import TTSProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from ..register import register_provider_adapter
 
 

astrbot/core/provider/sources/sensevoice_selfhosted_source.py

@@ -11,7 +11,7 @@ import re
 from funasr_onnx import SenseVoiceSmall
 from funasr_onnx.utils.postprocess_utils import rich_transcription_postprocess
 from ..provider import STTProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from astrbot.core.utils.io import download_file
 from ..register import register_provider_adapter
 from astrbot.core import logger

astrbot/core/provider/sources/whisper_api_source.py

@@ -2,7 +2,7 @@ import uuid
 import os
 from openai import AsyncOpenAI, NOT_GIVEN
 from ..provider import STTProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from astrbot.core.utils.io import download_file
 from ..register import register_provider_adapter
 from astrbot.core import logger

astrbot/core/provider/sources/whisper_selfhosted_source.py

@@ -3,7 +3,7 @@ import os
 import asyncio
 import whisper
 from ..provider import STTProvider
-from ..entites import ProviderType
+from ..entities import ProviderType
 from astrbot.core.utils.io import download_file
 from ..register import register_provider_adapter
 from astrbot.core import logger

astrbot/core/provider/sources/zhipu_source.py

@@ -3,7 +3,7 @@ from astrbot import logger
 from astrbot.core.provider.func_tool_manager import FuncCall
 from typing import List
 from ..register import register_provider_adapter
-from astrbot.core.provider.entites import LLMResponse
+from astrbot.core.provider.entities import LLMResponse
 from .openai_source import ProviderOpenAIOfficial
 
 

astrbot/core/star/star.py

@@ -47,5 +47,29 @@ class StarMetadata:
     star_handler_full_names: List[str] = field(default_factory=list)
     """注册的 Handler 的全名列表"""
 
+    supported_platforms: Dict[str, bool] = field(default_factory=dict)
+    """插件支持的平台ID字典，key为平台ID，value为是否支持"""
+
     def __str__(self) -> str:
         return f"StarMetadata({self.name}, {self.desc}, {self.version}, {self.repo})"
+
+    def update_platform_compatibility(self, plugin_enable_config: dict) -> None:
+        """更新插件支持的平台列表
+
+        Args:
+            plugin_enable_config: 平台插件启用配置，即platform_settings.plugin_enable配置项
+        """
+        if not plugin_enable_config:
+            return
+
+        # 清空之前的配置
+        self.supported_platforms.clear()
+
+        # 遍历所有平台配置
+        for platform_id, plugins in plugin_enable_config.items():
+            # 检查该插件在当前平台的配置
+            if self.name in plugins:
+                self.supported_platforms[platform_id] = plugins[self.name]
+            else:
+                # 如果没有明确配置，默认为启用
+                self.supported_platforms[platform_id] = True

astrbot/core/star/star_handler.py

@@ -30,21 +30,36 @@ class StarHandlerRegistry(Generic[T]):
             print(handler.handler_full_name)
 
     def get_handlers_by_event_type(
-        self, event_type: EventType, only_activated=True
+        self, event_type: EventType, only_activated=True, platform_id=None
     ) -> List[StarHandlerMetadata]:
-        """通过事件类型获取 Handler"""
-        handlers = [
-            handler
-            for _, handler in self._handlers
-            if handler.event_type == event_type
-            and (
-                not only_activated
-                or (
-                    star_map[handler.handler_module_path]
-                    and star_map[handler.handler_module_path].activated
-                )
-            )
-        ]
+        """通过事件类型获取 Handler
+
+        Args:
+            event_type: 事件类型
+            only_activated: 是否只返回已激活的插件的处理器
+            platform_id: 平台ID，如果提供此参数，将过滤掉在此平台不兼容的处理器
+
+        Returns:
+            List[StarHandlerMetadata]: 处理器列表
+        """
+        handlers = []
+        for _, handler in self._handlers:
+            if handler.event_type != event_type:
+                continue
+
+            # 只激活的插件处理器
+            if only_activated:
+                plugin = star_map.get(handler.handler_module_path)
+                if not (plugin and plugin.activated):
+                    continue
+
+            # 平台兼容性过滤
+            if platform_id and event_type != EventType.OnAstrBotLoadedEvent:
+                if not handler.is_enabled_for_platform(platform_id):
+                    continue
+
+            handlers.append(handler)
+
         return handlers
 
     def get_handler_by_full_name(self, full_name: str) -> StarHandlerMetadata:
@@ -139,3 +154,32 @@ class StarHandlerMetadata:
         return self.extras_configs.get("priority", 0) < other.extras_configs.get(
             "priority", 0
         )
+
+    def is_enabled_for_platform(self, platform_id: str) -> bool:
+        """检查插件是否在指定平台启用
+
+        Args:
+            platform_id: 平台ID，这是从event.get_platform_id()获取的，用于唯一标识平台实例
+
+        Returns:
+            bool: 是否启用，True表示启用，False表示禁用
+        """
+        plugin = star_map.get(self.handler_module_path)
+
+        # 如果插件元数据不存在，默认允许执行
+        if not plugin or not plugin.name:
+            return True
+
+        # 先检查插件是否被激活
+        if not plugin.activated:
+            return False
+
+        # 直接使用StarMetadata中缓存的supported_platforms判断平台兼容性
+        if (
+            hasattr(plugin, "supported_platforms")
+            and platform_id in plugin.supported_platforms
+        ):
+            return plugin.supported_platforms[platform_id]
+
+        # 如果没有缓存数据，默认允许执行
+        return True

astrbot/core/star/star_manager.py

@@ -166,8 +166,71 @@ class PluginManager:
 
         return metadata
 
+    def _get_plugin_related_modules(
+        self, plugin_root_dir: str, is_reserved: bool = False
+    ) -> list[str]:
+        """获取与指定插件相关的所有已加载模块名
+
+        根据插件根目录名和是否为保留插件，从 sys.modules 中筛选出相关的模块名
+
+        Args:
+            plugin_root_dir: 插件根目录名
+            is_reserved: 是否是保留插件，影响模块路径前缀
+
+        Returns:
+            list[str]: 与该插件相关的模块名列表
+        """
+        prefix = "packages." if is_reserved else "data.plugins."
+        return [
+            key
+            for key in list(sys.modules.keys())
+            if key.startswith(f"{prefix}{plugin_root_dir}")
+        ]
+
+    def _purge_modules(
+        self,
+        module_patterns: list[str] = None,
+        root_dir_name: str = None,
+        is_reserved: bool = False,
+    ):
+        """从 sys.modules 中移除指定的模块
+
+        可以基于模块名模式或插件目录名移除模块，用于清理插件相关的模块缓存
+
+        Args:
+            module_patterns: 要移除的模块名模式列表（例如 ["data.plugins", "packages"]）
+            root_dir_name: 插件根目录名，用于移除与该插件相关的所有模块
+            is_reserved: 插件是否为保留插件（影响模块路径前缀）
+        """
+        if module_patterns:
+            for pattern in module_patterns:
+                for key in list(sys.modules.keys()):
+                    if key.startswith(pattern):
+                        del sys.modules[key]
+                        logger.debug(f"删除模块 {key}")
+
+        if root_dir_name:
+            for module_name in self._get_plugin_related_modules(
+                root_dir_name, is_reserved
+            ):
+                try:
+                    del sys.modules[module_name]
+                    logger.debug(f"删除模块 {module_name}")
+                except KeyError:
+                    logger.warning(f"模块 {module_name} 未载入")
+
     async def reload(self, specified_plugin_name=None):
-        """扫描并加载所有的插件 当 specified_module_path 指定时，重载指定插件"""
+        """重新加载插件
+
+        Args:
+            specified_plugin_name (str, optional): 要重载的特定插件名称。
+                                                 如果为 None，则重载所有插件。
+
+        Returns:
+            tuple: 返回 load() 方法的结果，包含 (success, error_message)
+                - success (bool): 重载是否成功
+                - error_message (str|None): 错误信息，成功时为 None
+        """
         specified_module_path = None
         if specified_plugin_name:
             for smd in star_registry:
@@ -192,9 +255,6 @@ class PluginManager:
             star_handlers_registry.clear()
             star_map.clear()
             star_registry.clear()
-            for key in list(sys.modules.keys()):
-                if key.startswith("data.plugins") or key.startswith("packages"):
-                    del sys.modules[key]
         else:
             # 只重载指定插件
             smd = star_map.get(specified_module_path)
@@ -209,11 +269,44 @@ class PluginManager:
 
                 await self._unbind_plugin(smd.name, specified_module_path)
 
-        return await self.load(specified_module_path)
+        result = await self.load(specified_module_path)
+
+        # 更新所有插件的平台兼容性
+        await self.update_all_platform_compatibility()
+
+        return result
+
+    async def update_all_platform_compatibility(self):
+        """更新所有插件的平台兼容性设置"""
+        # 获取最新的平台插件启用配置
+        plugin_enable_config = self.config.get("platform_settings", {}).get(
+            "plugin_enable", {}
+        )
+        logger.debug(
+            f"更新所有插件的平台兼容性设置，平台数量: {len(plugin_enable_config)}"
+        )
+
+        # 遍历所有插件，更新平台兼容性
+        for plugin in self.context.get_all_stars():
+            plugin.update_platform_compatibility(plugin_enable_config)
+            logger.debug(
+                f"插件 {plugin.name} 支持的平台: {list(plugin.supported_platforms.keys())}"
+            )
+
+        return True
 
     async def load(self, specified_module_path=None, specified_dir_name=None):
         """载入插件。
         当 specified_module_path 或者 specified_dir_name 不为 None 时，只载入指定的插件。
+
+        Args:
+            specified_module_path (str, optional): 指定要加载的插件模块路径。例如: "data.plugins.my_plugin.main"
+            specified_dir_name (str, optional): 指定要加载的插件目录名。例如: "my_plugin"
+
+        Returns:
+            tuple: (success, error_message)
+                - success (bool): 是否全部加载成功
+                - error_message (str|None): 错误信息，成功时为 None
         """
         inactivated_plugins: list = sp.get("inactivated_plugins", [])
         inactivated_llm_tools: list = sp.get("inactivated_llm_tools", [])
@@ -320,6 +413,12 @@ class PluginManager:
                     metadata.root_dir_name = root_dir_name
                     metadata.reserved = reserved
 
+                    # 更新插件的平台兼容性
+                    plugin_enable_config = self.config.get("platform_settings", {}).get(
+                        "plugin_enable", {}
+                    )
+                    metadata.update_platform_compatibility(plugin_enable_config)
+
                     # 绑定 handler
                     related_handlers = (
                         star_handlers_registry.get_handlers_by_module_name(
@@ -447,6 +546,20 @@ class PluginManager:
             return False, fail_rec
 
     async def install_plugin(self, repo_url: str, proxy=""):
+        """从仓库 URL 安装插件
+
+        从指定的仓库 URL 下载并安装插件，然后加载该插件到系统中
+
+        Args:
+            repo_url (str): 要安装的插件仓库 URL
+            proxy (str, optional): 用于下载的代理服务器。默认为空字符串。
+
+        Returns:
+            dict | None: 安装成功时返回包含插件信息的字典:
+                - repo: 插件的仓库 URL
+                - readme: README.md 文件的内容(如果存在)
+                如果找不到插件元数据则返回 None。
+        """
         plugin_path = await self.updator.install(repo_url, proxy)
         # reload the plugin
         dir_name = os.path.basename(plugin_path)
@@ -481,6 +594,14 @@ class PluginManager:
         return plugin_info
 
     async def uninstall_plugin(self, plugin_name: str):
+        """卸载指定的插件。
+
+        Args:
+            plugin_name (str): 要卸载的插件名称
+
+        Raises:
+            Exception: 当插件不存在、是保留插件时，或删除插件文件夹失败时抛出异常
+        """
         plugin = self.context.get_registered_star(plugin_name)
         if not plugin:
             raise Exception("插件不存在。")
@@ -509,9 +630,17 @@ class PluginManager:
             )
 
     async def _unbind_plugin(self, plugin_name: str, plugin_module_path: str):
+        """解绑并移除一个插件。
+
+        Args:
+            plugin_name: 要解绑的插件名称
+            plugin_module_path: 插件的完整模块路径
+        """
+        plugin = None
         del star_map[plugin_module_path]
         for i, p in enumerate(star_registry):
             if p.name == plugin_name:
+                plugin = p
                 del star_registry[i]
                 break
         for handler in star_handlers_registry.get_handlers_by_module_name(
@@ -521,21 +650,17 @@ class PluginManager:
                 f"移除了插件 {plugin_name} 的处理函数 {handler.handler_name} ({len(star_handlers_registry)})"
             )
             star_handlers_registry.remove(handler)
-        keys_to_delete = [
-            k
-            for k, v in star_handlers_registry.star_handlers_map.items()
-            if k.startswith(plugin_module_path)
-        ]
-        for k in keys_to_delete:
-            try:
-                del star_handlers_registry.star_handlers_map[k]
-            except KeyError:
-                pass
 
-        try:
-            del sys.modules[plugin_module_path]
-        except KeyError:
-            logger.warning(f"模块 {plugin_module_path} 未载入")
+        for k in [
+            k
+            for k in star_handlers_registry.star_handlers_map
+            if k.startswith(plugin_module_path)
+        ]:
+            del star_handlers_registry.star_handlers_map[k]
+
+        self._purge_modules(
+            root_dir_name=plugin.root_dir_name, is_reserved=plugin.reserved
+        )
 
     async def update_plugin(self, plugin_name: str, proxy=""):
         """升级一个插件"""

astrbot/core/star/star_tools.py

@@ -1,9 +1,12 @@
+import inspect
 from typing import Union, Awaitable, List, Optional, ClassVar
 from astrbot.core.message.components import BaseMessageComponent
 from astrbot.core.message.message_event_result import MessageChain
 from astrbot.api.platform import MessageMember, AstrBotMessage
 from astrbot.core.platform.astr_message_event import MessageSesion
 from astrbot.core.star.context import Context
+from astrbot.core.star.star import star_map
+from pathlib import Path
 
 
 class StarTools:
@@ -142,3 +145,48 @@ class StarTools:
             name (str): 工具名称
         """
         cls._context.unregister_llm_tool(name)
+
+    @classmethod
+    def get_data_dir(cls, plugin_name: Optional[str] = None) -> Path:
+        """
+        返回插件数据目录的绝对路径。
+
+        此方法会在 data/plugin_data 目录下为插件创建一个专属的数据目录。如果未提供插件名称，
+        会自动从调用栈中获取插件信息。
+
+        Args:
+            plugin_name: 可选的插件名称。如果为None，将自动检测调用者的插件名称。
+
+        Returns:
+            Path (Path): 插件数据目录的绝对路径，位于 data/plugin_data/{plugin_name}。
+
+        Raises:
+            RuntimeError: 当出现以下情况时抛出:
+                - 无法获取调用者模块信息
+                - 无法获取模块的元数据信息
+                - 创建目录失败（权限不足或其他IO错误）
+        """
+        if not plugin_name:
+            frame = inspect.currentframe().f_back
+            module = inspect.getmodule(frame)
+
+            if not module:
+                raise RuntimeError("无法获取调用者模块信息")
+
+            metadata = star_map.get(module.__name__, None)
+
+            if not metadata:
+                raise RuntimeError(f"无法获取模块 {module.__name__} 的元数据信息")
+
+            plugin_name = metadata.name
+
+        data_dir = Path("data/plugin_data") / plugin_name
+
+        try:
+            data_dir.mkdir(parents=True, exist_ok=True)
+        except OSError as e:
+            if isinstance(e, PermissionError):
+                raise RuntimeError(f"无法创建目录 {data_dir}：权限不足") from e
+            raise RuntimeError(f"无法创建目录 {data_dir}：{e!s}") from e
+
+        return data_dir.resolve()

astrbot/core/utils/shared_preferences.py

@@ -15,7 +15,7 @@ class SharedPreferences:
 
     def _save_preferences(self):
         with open(self.path, "w") as f:
-            json.dump(self._data, f, indent=4)
+            json.dump(self._data, f, indent=4, ensure_ascii=False)
             f.flush()
 
     def get(self, key, default=None):

astrbot/core/zip_updator.py

@@ -105,16 +105,24 @@ class RepoZipUpdator:
         """
         比较两个版本号的大小。
         返回 1 表示 v1 > v2，返回 -1 表示 v1 < v2，返回 0 表示 v1 = v2。
+        支持任意长度的版本号，如v1.2.3或v3.5.3.1。
         """
         v1 = v1.replace("v", "")
         v2 = v2.replace("v", "")
-        v1 = v1.split(".")
-        v2 = v2.split(".")
+        v1_parts = v1.split(".")
+        v2_parts = v2.split(".")
 
-        for i in range(3):
-            if int(v1[i]) > int(v2[i]):
+        # 获取最长的版本号长度
+        length = max(len(v1_parts), len(v2_parts))
+
+        # 将短版本号补0以便比较
+        v1_parts.extend(["0"] * (length - len(v1_parts)))
+        v2_parts.extend(["0"] * (length - len(v2_parts)))
+
+        for i in range(length):
+            if int(v1_parts[i]) > int(v2_parts[i]):
                 return 1
-            elif int(v1[i]) < int(v2[i]):
+            elif int(v1_parts[i]) < int(v2_parts[i]):
                 return -1
         return 0
 

astrbot/dashboard/routes/chat.py

@@ -161,42 +161,53 @@ class ChatRoute(Route):
         username = g.get("username", "guest")
 
         if username in self.curr_chat_sse:
-            return "[ERROR]\n"
+            return Response().error("Already connected").__dict__
 
         self.curr_chat_sse[username] = None
 
+        heartbeat = json.dumps({"type": "heartbeat", "data": "ping"})
+
         async def stream():
             try:
-                yield "[HB]\n"
+                yield f"data: {heartbeat}\n\n"  # 心跳包
                 while True:
                     try:
                         result = await asyncio.wait_for(
                             web_chat_back_queue.get(), timeout=10
                         )  # 设置超时时间为5秒
                     except asyncio.TimeoutError:
-                        yield "[HB]\n"  # 心跳包
+                        yield f"data: {heartbeat}\n\n"  # 心跳包
                         continue
 
                     if not result:
                         continue
-                    result_text, cid = result
+
+                    result_text = result["data"]
+                    type = result.get("type")
+                    cid = result.get("cid")
+                    streaming = result.get("streaming", False)
                     if cid != self.curr_user_cid.get(username):
                         # 丢弃
                         continue
-                    yield result_text + "\n"
+                    yield f"data: {json.dumps(result, ensure_ascii=False)}\n\n"
+                    await asyncio.sleep(0.05)
 
-                    conversation = self.db.get_conversation_by_user_id(username, cid)
-                    try:
-                        history = json.loads(conversation.history)
-                    except BaseException as e:
-                        print(e)
-                        history = []
-                    history.append({"type": "bot", "message": result_text})
-                    self.db.update_conversation(
-                        username, cid, history=json.dumps(history)
-                    )
+                    if streaming and type != "end":
+                        continue
 
-                    await asyncio.sleep(0.5)
+                    if result_text:
+                        conversation = self.db.get_conversation_by_user_id(
+                            username, cid
+                        )
+                        try:
+                            history = json.loads(conversation.history)
+                        except BaseException as e:
+                            print(e)
+                            history = []
+                        history.append({"type": "bot", "message": result_text})
+                        self.db.update_conversation(
+                            username, cid, history=json.dumps(history)
+                        )
             except BaseException as _:
                 logger.debug(f"用户 {username} 断开聊天长连接。")
                 self.curr_chat_sse.pop(username)

astrbot/dashboard/routes/config.py

@@ -60,11 +60,13 @@ def validate_config(
                         data[key] = False
                 continue
             meta = metadata[key]
+            if "type" not in meta:
+                logger.debug(f"配置项 {path}{key} 没有类型定义, 跳过校验")
+                continue
             # null 转换
             if value is None:
                 data[key] = DEFAULT_VALUE_MAP[meta["type"]]
                 continue
-            # 递归验证
             if meta["type"] == "list" and not isinstance(value, list):
                 errors.append(
                     f"错误的类型 {path}{key}: 期望是 list, 得到了 {type(value).__name__}"
@@ -179,7 +181,7 @@ class ConfigRoute(Route):
             await self._save_astrbot_configs(post_configs)
             return Response().ok(None, "保存成功~ 机器人正在重载配置。").__dict__
         except Exception as e:
-            logger.error(e)
+            logger.error(traceback.format_exc())
             return Response().error(str(e)).__dict__
 
     async def post_plugin_configs(self):

astrbot/dashboard/routes/log.py

@@ -20,7 +20,7 @@ class LogRoute(Route):
                     message = await queue.get()
                     payload = {
                         "type": "log",
-                        **message # see astrbot/core/log.py
+                        **message,  # see astrbot/core/log.py
                     }
                     yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
             except asyncio.CancelledError:

astrbot/dashboard/routes/plugin.py

@@ -1,5 +1,6 @@
 import traceback
 import aiohttp
+import os
 
 import ssl
 import certifi
@@ -36,6 +37,9 @@ class PluginRoute(Route):
             "/plugin/off": ("POST", self.off_plugin),
             "/plugin/on": ("POST", self.on_plugin),
             "/plugin/reload": ("POST", self.reload_plugins),
+            "/plugin/readme": ("GET", self.get_plugin_readme),
+            "/plugin/platform_enable/get": ("GET", self.get_plugin_platform_enable),
+            "/plugin/platform_enable/set": ("POST", self.set_plugin_platform_enable),
         }
         self.core_lifecycle = core_lifecycle
         self.plugin_manager = plugin_manager
@@ -317,3 +321,135 @@ class PluginRoute(Route):
         except Exception as e:
             logger.error(f"/api/plugin/on: {traceback.format_exc()}")
             return Response().error(str(e)).__dict__
+
+    async def get_plugin_readme(self):
+        plugin_name = request.args.get("name")
+        logger.debug(f"正在获取插件 {plugin_name} 的README文件内容")
+
+        if not plugin_name:
+            logger.warning("插件名称为空")
+            return Response().error("插件名称不能为空").__dict__
+
+        plugin_obj = None
+        for plugin in self.plugin_manager.context.get_all_stars():
+            if plugin.name == plugin_name:
+                plugin_obj = plugin
+                break
+
+        if not plugin_obj:
+            logger.warning(f"插件 {plugin_name} 不存在")
+            return Response().error(f"插件 {plugin_name} 不存在").__dict__
+
+        plugin_dir = os.path.join(
+            self.plugin_manager.plugin_store_path, plugin_obj.root_dir_name
+        )
+
+        if not os.path.isdir(plugin_dir):
+            logger.warning(f"无法找到插件目录: {plugin_dir}")
+            return Response().error(f"无法找到插件 {plugin_name} 的目录").__dict__
+
+        readme_path = os.path.join(plugin_dir, "README.md")
+
+        if not os.path.isfile(readme_path):
+            logger.warning(f"插件 {plugin_name} 没有README文件")
+            return Response().error(f"插件 {plugin_name} 没有README文件").__dict__
+
+        try:
+            with open(readme_path, "r", encoding="utf-8") as f:
+                readme_content = f.read()
+
+            return (
+                Response()
+                .ok({"content": readme_content}, "成功获取README内容")
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"/api/plugin/readme: {traceback.format_exc()}")
+            return Response().error(f"读取README文件失败: {str(e)}").__dict__
+
+    async def get_plugin_platform_enable(self):
+        """获取插件在各平台的可用性配置"""
+        try:
+            platform_enable = self.core_lifecycle.astrbot_config.get(
+                "platform_settings", {}
+            ).get("plugin_enable", {})
+
+            # 获取所有可用平台
+            platforms = []
+
+            for platform in self.core_lifecycle.astrbot_config.get("platform", []):
+                platform_type = platform.get("type", "")
+                platform_id = platform.get("id", "")
+
+                platforms.append(
+                    {
+                        "name": platform_id,  # 使用type作为name，这是系统内部使用的平台名称
+                        "id": platform_id,  # 保留id字段以便前端可以显示
+                        "type": platform_type,
+                        "display_name": f"{platform_type}({platform_id})",
+                    }
+                )
+
+            adjusted_platform_enable = {}
+            for platform_id, plugins in platform_enable.items():
+                adjusted_platform_enable[platform_id] = plugins
+
+            # 获取所有插件，包括系统内部插件
+            plugins = []
+            for plugin in self.plugin_manager.context.get_all_stars():
+                plugins.append(
+                    {
+                        "name": plugin.name,
+                        "desc": plugin.desc,
+                        "reserved": plugin.reserved,  # 添加reserved标志
+                    }
+                )
+
+            logger.debug(
+                f"获取插件平台配置: 原始配置={platform_enable}, 调整后={adjusted_platform_enable}"
+            )
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "platforms": platforms,
+                        "plugins": plugins,
+                        "platform_enable": adjusted_platform_enable,
+                    }
+                )
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"/api/plugin/platform_enable/get: {traceback.format_exc()}")
+            return Response().error(str(e)).__dict__
+
+    async def set_plugin_platform_enable(self):
+        """设置插件在各平台的可用性配置"""
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
+        try:
+            data = await request.json
+            platform_enable = data.get("platform_enable", {})
+
+            # 更新配置
+            config = self.core_lifecycle.astrbot_config
+            platform_settings = config.get("platform_settings", {})
+            platform_settings["plugin_enable"] = platform_enable
+            config["platform_settings"] = platform_settings
+            config.save_config()
+
+            # 更新插件的平台兼容性缓存
+            await self.plugin_manager.update_all_platform_compatibility()
+
+            logger.info(f"插件平台可用性配置已更新: {platform_enable}")
+
+            return Response().ok(None, "插件平台可用性配置已更新").__dict__
+        except Exception as e:
+            logger.error(f"/api/plugin/platform_enable/set: {traceback.format_exc()}")
+            return Response().error(str(e)).__dict__

changelogs/v3.5.3.1.md

@@ -0,0 +1,35 @@
+# What's Changed
+
+> 📢 在升级前，请完整阅读本次更新日志。
+> 此版本为针对 `v3.5.3` 的紧急修复版本
+
+## ✨ 新增的功能
+
+1. Telegram、Webchat、QQ官方机器人平台(私聊)支持流式输出（实验性）。@Soulter @Raven95676 @anka-afk
+2. 支持针对不同消息平台开启/关闭插件 @zhx8702 @Raven95676 @Soulter
+3. 插件市场支持显示 Star 个数、插件管理支持插件帮助对话框 @kterna
+4. 飞书平台支持主动消息发送 @Soulter
+5. Telegram 平台适配显示指令列表，支持自动补全 @Raven95676
+6. 新增配置项允许配置当超出最多携带对话数量时，一次性丢弃多少条旧消息 @Rail1bc
+7. StarTool 新增获取插件数据目录接口 @Raven95676
+
+## 🎈 功能性优化
+
+1. 优化 /his 指令对函数调用的显示 @anka-afk
+2. QQ 官方机器人支持对同一条消息多次回复 @kuangfeng
+
+## 🐛 修复的 Bug
+
+1. ‼️ 修复使用 gemini 时，函数数工具调用会重复调用已经在过去会话中调用过的工具 @Soulter
+2. 修复使用 Gemini 模型时出现 <empty_content> 的问题 @anka-afk
+4. 修复使用 OneAPI + Gemini(openai) 传递空参数函数工具时可能报错的问题 @Soulter
+5. 修复 permission 过滤算子的 raise_error 参数失效的问题 @Soulter
+6. 修复函数调用时可能出现 `messages with role 'tool' must be a response to a preceeding message with 'tool_calls'` 报错的问题 @anka-afk
+7. 修复 dify 下删除对话的报错问题 @Soulter
+8. 修复人格预设对话多次插入上下文的问题 @Rail1bc
+9. 修复了 event.get_sender_id() 返回值与函数注释不一致的问题 @zsbai
+
+
+## 🧩 新增的插件
+
+待补充

changelogs/v3.5.3.2.md

@@ -0,0 +1,41 @@
+# What's Changed
+
+> 📢 在升级前，请完整阅读本次更新日志。
+> 此版本为针对 `v3.5.3` 的紧急修复版本
+> 修复以下 BUG：
+> 1. 智谱 GLM 在函数工具有空参数时报错的问题。
+
+---
+
+v3.5.3
+
+## ✨ 新增的功能
+
+1. Telegram、Webchat、QQ官方机器人平台(私聊)支持流式输出（实验性）。@Soulter @Raven95676 @anka-afk
+2. 支持针对不同消息平台开启/关闭插件 @zhx8702 @Raven95676 @Soulter
+3. 插件市场支持显示 Star 个数、插件管理支持插件帮助对话框 @kterna
+4. 飞书平台支持主动消息发送 @Soulter
+5. Telegram 平台适配显示指令列表，支持自动补全 @Raven95676
+6. 新增配置项允许配置当超出最多携带对话数量时，一次性丢弃多少条旧消息 @Rail1bc
+7. StarTool 新增获取插件数据目录接口 @Raven95676
+
+## 🎈 功能性优化
+
+1. 优化 /his 指令对函数调用的显示 @anka-afk
+2. QQ 官方机器人支持对同一条消息多次回复 @kuangfeng
+
+## 🐛 修复的 Bug
+
+1. ‼️ 修复使用 gemini 时，函数数工具调用会重复调用已经在过去会话中调用过的工具 @Soulter
+2. 修复使用 Gemini 模型时出现 <empty_content> 的问题 @anka-afk
+4. 修复使用 OneAPI + Gemini(openai) 传递空参数函数工具时可能报错的问题 @Soulter
+5. 修复 permission 过滤算子的 raise_error 参数失效的问题 @Soulter
+6. 修复函数调用时可能出现 `messages with role 'tool' must be a response to a preceeding message with 'tool_calls'` 报错的问题 @anka-afk
+7. 修复 dify 下删除对话的报错问题 @Soulter
+8. 修复人格预设对话多次插入上下文的问题 @Rail1bc
+9. 修复了 event.get_sender_id() 返回值与函数注释不一致的问题 @zsbai
+
+
+## 🧩 新增的插件
+
+待补充

changelogs/v3.5.3.md

@@ -0,0 +1,34 @@
+# What's Changed
+
+> 📢 在升级前，请完整阅读本次更新日志。
+
+## ✨ 新增的功能
+
+1. Telegram、Webchat、QQ官方机器人平台(私聊)支持流式输出（实验性）。@Soulter @Raven95676 @anka-afk
+2. 支持针对不同消息平台开启/关闭插件 @zhx8702 @Raven95676 @Soulter
+3. 插件市场支持显示 Star 个数、插件管理支持插件帮助对话框 @kterna
+4. 飞书平台支持主动消息发送 @Soulter
+5. Telegram 平台适配显示指令列表，支持自动补全 @Raven95676
+6. 新增配置项允许配置当超出最多携带对话数量时，一次性丢弃多少条旧消息 @Rail1bc
+7. StarTool 新增获取插件数据目录接口 @Raven95676
+
+## 🎈 功能性优化
+
+1. 优化 /his 指令对函数调用的显示 @anka-afk
+2. QQ 官方机器人支持对同一条消息多次回复 @kuangfeng
+
+## 🐛 修复的 Bug
+
+1. ‼️ 修复使用 gemini 时，函数数工具调用会重复调用已经在过去会话中调用过的工具 @Soulter
+2. 修复使用 Gemini 模型时出现 <empty_content> 的问题 @anka-afk
+4. 修复使用 OneAPI + Gemini(openai) 传递空参数函数工具时可能报错的问题 @Soulter
+5. 修复 permission 过滤算子的 raise_error 参数失效的问题 @Soulter
+6. 修复函数调用时可能出现 `messages with role 'tool' must be a response to a preceeding message with 'tool_calls'` 报错的问题 @anka-afk
+7. 修复 dify 下删除对话的报错问题 @Soulter
+8. 修复人格预设对话多次插入上下文的问题 @Rail1bc
+9. 修复了 event.get_sender_id() 返回值与函数注释不一致的问题 @zsbai
+
+
+## 🧩 新增的插件
+
+待补充

dashboard/src/components/shared/ExtensionCard.vue

@@ -24,13 +24,10 @@ const emit = defineEmits([
   'install',
   'uninstall',
   'toggle-activation',
-  'view-handlers'
+  'view-handlers',
+  'view-readme'
 ]);
 
-const open = (link: string | undefined) => {
-  window.open(link, '_blank');
-};
-
 const reveal = ref(false);
 
 // 操作函数
@@ -70,6 +67,10 @@ const toggleActivation = () => {
 const viewHandlers = () => {
   emit('view-handlers', props.extension);
 };
+
+const viewReadme = () => {
+  emit('view-readme', props.extension);
+};
 </script>
 
 <template>
@@ -128,7 +129,7 @@ const viewHandlers = () => {
     </v-card-text>
 
     <v-card-actions style="padding: 0px; margin-top: auto;">
-      <v-btn color="teal-accent-4" text="帮助" variant="text" @click="open(extension.repo)"></v-btn>
+      <v-btn color="teal-accent-4" text="查看文档" variant="text" @click="viewReadme"></v-btn>
       <v-btn v-if="!marketMode" color="teal-accent-4" text="操作" variant="text" @click="reveal = true"></v-btn>
       <v-btn v-if="marketMode && !extension?.installed" color="teal-accent-4" text="安装" variant="text"
         @click="emit('install', extension)"></v-btn>

dashboard/src/components/shared/ReadmeDialog.vue

@@ -0,0 +1,302 @@
+<script setup>
+import { ref, watch, onMounted } from 'vue';
+import axios from 'axios';
+import { marked } from 'marked';
+import hljs from 'highlight.js';
+import 'highlight.js/styles/github.css';
+
+const props = defineProps({
+  show: {
+    type: Boolean,
+    default: false
+  },
+  pluginName: {
+    type: String,
+    default: ''
+  },
+  repoUrl: {
+    type: String,
+    default: null
+  }
+});
+
+const emit = defineEmits(['update:show']);
+
+const content = ref(null);
+const error = ref(null);
+const loading = ref(false);
+
+// 监听show的变化，当显示对话框时加载内容
+watch(() => props.show, (newVal) => {
+  if (newVal && props.pluginName) {
+    fetchReadme();
+  }
+});
+
+// 监听pluginName的变化
+watch(() => props.pluginName, (newVal) => {
+  if (props.show && newVal) {
+    fetchReadme();
+  }
+});
+
+// 获取README内容
+async function fetchReadme() {
+  if (!props.pluginName) return;
+  
+  loading.value = true;
+  content.value = null;
+  error.value = null;
+  
+  try {
+    // 从本地文件获取README
+    const res = await axios.get(`/api/plugin/readme?name=${props.pluginName}`);
+    if (res.data.status === 'ok') {
+      content.value = res.data.data.content;
+    } else {
+      error.value = res.data.message || '获取README失败';
+    }
+  } catch (err) {
+    error.value = err.message || '获取README时发生错误';
+  } finally {
+    loading.value = false;
+  }
+}
+
+// 打开GitHub中的仓库
+function openRepoInNewTab() {
+  if (props.repoUrl) {
+    window.open(props.repoUrl, '_blank');
+  }
+}
+
+// 渲染Markdown内容
+function renderMarkdown(content) {
+  if (!content) return '';
+  
+  // 配置marked使用highlight.js进行语法高亮
+  marked.setOptions({
+    highlight: function(code, lang) {
+      if (lang && hljs.getLanguage(lang)) {
+        try {
+          return hljs.highlight(code, { language: lang }).value;
+        } catch (e) {
+          console.error(e);
+        }
+      }
+      return hljs.highlightAuto(code).value;
+    },
+    gfm: true, // GitHub Flavored Markdown
+    breaks: true, // Convert \n to <br>
+    headerIds: true, // Add id attributes to headers
+    mangle: false // Don't mangle email addresses
+  });
+  
+  return marked(content);
+}
+
+// 刷新README内容
+function refreshReadme() {
+  fetchReadme();
+}
+</script>
+
+<template>
+  <v-dialog v-model="_show" width="800" persistent>
+    <v-card>
+      <v-card-title class="d-flex justify-space-between align-center">
+        <span class="text-h5">插件说明文档</span>
+        <v-btn icon @click="$emit('update:show', false)">
+          <v-icon>mdi-close</v-icon>
+        </v-btn>
+      </v-card-title>
+      <v-divider></v-divider>
+      <v-card-text style="height: 70vh; overflow-y: auto;">
+        <div class="d-flex justify-space-between mb-4">
+          <v-btn 
+            v-if="repoUrl"
+            color="primary" 
+            prepend-icon="mdi-github"
+            @click="openRepoInNewTab()" 
+          >
+            在GitHub中查看仓库
+          </v-btn>
+          <v-btn
+            color="secondary"
+            prepend-icon="mdi-refresh"
+            @click="refreshReadme()"
+          >
+            刷新文档
+          </v-btn>
+        </div>
+        
+        <!-- 加载中 -->
+        <div v-if="loading" class="d-flex flex-column align-center justify-center" style="height: 100%;">
+          <v-progress-circular indeterminate color="primary" size="64" class="mb-4"></v-progress-circular>
+          <p class="text-body-1 text-center">正在加载README文档...</p>
+        </div>
+        
+        <!-- 内容显示 -->
+        <div v-else-if="content" class="markdown-body" v-html="renderMarkdown(content)"></div>
+        
+        <!-- 错误提示 -->
+        <div v-else-if="error" class="d-flex flex-column align-center justify-center" style="height: 100%;">
+          <v-icon size="64" color="error" class="mb-4">mdi-alert-circle-outline</v-icon>
+          <p class="text-body-1 text-center mb-4">{{ error }}</p>
+        </div>
+        
+        <!-- 无内容提示 -->
+        <div v-else class="d-flex flex-column align-center justify-center" style="height: 100%;">
+          <v-icon size="64" color="warning" class="mb-4">mdi-file-question-outline</v-icon>
+          <p class="text-body-1 text-center mb-4">该插件未提供文档链接或GitHub仓库地址。<br>请查看插件市场或联系插件作者获取更多信息。</p>
+        </div>
+      </v-card-text>
+      <v-divider></v-divider>
+      <v-card-actions>
+        <v-spacer></v-spacer>
+        <v-btn color="primary" variant="tonal" @click="$emit('update:show', false)">
+          关闭
+        </v-btn>
+      </v-card-actions>
+    </v-card>
+  </v-dialog>
+</template>
+
+<style>
+.markdown-body {
+  font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif;
+  line-height: 1.6;
+  padding: 8px 0;
+  color: #24292e;
+}
+
+.markdown-body h1, 
+.markdown-body h2, 
+.markdown-body h3, 
+.markdown-body h4, 
+.markdown-body h5, 
+.markdown-body h6 {
+  margin-top: 24px;
+  margin-bottom: 16px;
+  font-weight: 600;
+  line-height: 1.25;
+}
+
+.markdown-body h1 {
+  font-size: 2em;
+  border-bottom: 1px solid #eaecef;
+  padding-bottom: 0.3em;
+}
+
+.markdown-body h2 {
+  font-size: 1.5em;
+  border-bottom: 1px solid #eaecef;
+  padding-bottom: 0.3em;
+}
+
+.markdown-body p {
+  margin-top: 0;
+  margin-bottom: 16px;
+}
+
+.markdown-body code {
+  padding: 0.2em 0.4em;
+  margin: 0;
+  background-color: rgba(27, 31, 35, 0.05);
+  border-radius: 3px;
+  font-family: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, monospace;
+  font-size: 85%;
+}
+
+.markdown-body pre {
+  padding: 16px;
+  overflow: auto;
+  font-size: 85%;
+  line-height: 1.45;
+  background-color: #f6f8fa;
+  border-radius: 3px;
+  margin-bottom: 16px;
+}
+
+.markdown-body pre code {
+  background-color: transparent;
+  padding: 0;
+}
+
+.markdown-body ul,
+.markdown-body ol {
+  padding-left: 2em;
+  margin-bottom: 16px;
+}
+
+.markdown-body img {
+  max-width: 100%;
+  margin: 8px 0;
+  box-sizing: border-box;
+  background-color: #fff;
+  border-radius: 3px;
+}
+
+.markdown-body blockquote {
+  padding: 0 1em;
+  color: #6a737d;
+  border-left: 0.25em solid #dfe2e5;
+  margin-bottom: 16px;
+}
+
+.markdown-body a {
+  color: #0366d6;
+  text-decoration: none;
+}
+
+.markdown-body a:hover {
+  text-decoration: underline;
+}
+
+.markdown-body table {
+  border-spacing: 0;
+  border-collapse: collapse;
+  width: 100%;
+  overflow: auto;
+  margin-bottom: 16px;
+}
+
+.markdown-body table th,
+.markdown-body table td {
+  padding: 6px 13px;
+  border: 1px solid #dfe2e5;
+}
+
+.markdown-body table tr {
+  background-color: #fff;
+  border-top: 1px solid #c6cbd1;
+}
+
+.markdown-body table tr:nth-child(2n) {
+  background-color: #f6f8fa;
+}
+
+.markdown-body hr {
+  height: 0.25em;
+  padding: 0;
+  margin: 24px 0;
+  background-color: #e1e4e8;
+  border: 0;
+}
+</style>
+
+<script>
+export default {
+  name: 'ReadmeDialog',
+  computed: {
+    _show: {
+      get() {
+        return this.show;
+      },
+      set(value) {
+        this.$emit('update:show', value);
+      }
+    }
+  }
+}
+</script> 

dashboard/src/views/ChatPage.vue

@@ -1,6 +1,7 @@
 <script setup>
 import axios from 'axios';
 import { marked } from 'marked';
+import { ref } from 'vue';
 
 marked.setOptions({
     breaks: true
@@ -11,37 +12,73 @@ marked.setOptions({
     <v-card class="chat-page-card">
         <v-card-text class="chat-page-container">
             <div class="chat-layout">
-                <!-- 左侧对话列表面板 -->
+                <!-- 左侧对话列表面板 - 优化版 -->
                 <div class="sidebar-panel">
-                    <v-btn variant="tonal" rounded="xl" class="new-chat-btn" @click="newC"
-                        :disabled="!currCid">
-                        <v-icon class="mr-2">mdi-plus</v-icon>创建对话
-                    </v-btn>
-
-                    <v-card class="conversation-list-card" v-if="conversations.length > 0">
-                        <v-list density="compact" nav class="conversation-list" @update:selected="getConversationMessages">
-                            <v-list-item v-for="(item, i) in conversations" :key="item.cid" :value="item.cid"
-                                color="primary" rounded="xl" class="conversation-item">
-                                <v-list-item-title>新对话</v-list-item-title>
-                                <v-list-item-subtitle class="timestamp">{{ formatDate(item.updated_at) }}</v-list-item-subtitle>
-                            </v-list-item>
-                        </v-list>
-                    </v-card>
-
-                    <div class="status-chips">
-                        <v-chip class="status-chip" color="primary" :append-icon="status?.llm_enabled ? 'mdi-check' : 'mdi-close'">
-                            LLM
-                        </v-chip>
-
-                        <v-chip class="status-chip" color="success" :append-icon="status?.stt_enabled ? 'mdi-check' : 'mdi-close'">
-                            语音转文本
-                        </v-chip>
+                    <div class="sidebar-header">
+                        <v-btn variant="elevated" rounded="lg" class="new-chat-btn" @click="newC" :disabled="!currCid"
+                            prepend-icon="mdi-plus">
+                            创建对话
+                        </v-btn>
                     </div>
 
-                    <v-btn variant="tonal" rounded="xl" class="delete-chat-btn" v-if="currCid"
-                        @click="deleteConversation(currCid)" color="error">
-                        <v-icon class="mr-2">mdi-delete</v-icon>删除此对话
-                    </v-btn>
+                    <div class="conversations-container">
+                        <div class="sidebar-section-title" v-if="conversations.length > 0">
+                            对话历史
+                        </div>
+
+                        <v-card class="conversation-list-card" v-if="conversations.length > 0" flat>
+                            <v-list density="compact" nav class="conversation-list"
+                                @update:selected="getConversationMessages">
+                                <v-list-item v-for="(item, i) in conversations" :key="item.cid" :value="item.cid"
+                                    color="primary" rounded="lg" class="conversation-item" active-color="primary">
+                                    <template v-slot:prepend>
+                                        <v-icon size="small" icon="mdi-message-text-outline"></v-icon>
+                                    </template>
+                                    <v-list-item-title class="conversation-title">新对话</v-list-item-title>
+                                    <v-list-item-subtitle class="timestamp">{{ formatDate(item.updated_at)
+                                    }}</v-list-item-subtitle>
+                                </v-list-item>
+                            </v-list>
+                        </v-card>
+
+                        <v-fade-transition>
+                            <div class="no-conversations" v-if="conversations.length === 0">
+                                <v-icon icon="mdi-message-text-outline" size="large" color="grey-lighten-1"></v-icon>
+                                <div class="no-conversations-text">暂无对话历史</div>
+                            </div>
+                        </v-fade-transition>
+                    </div>
+
+                    <div class="sidebar-footer">
+                        <div class="sidebar-section-title">
+                            系统状态
+                        </div>
+                        <div class="status-chips">
+                            <v-chip class="status-chip" :color="status?.llm_enabled ? 'primary' : 'grey-lighten-2'"
+                                variant="elevated" size="small">
+                                <template v-slot:prepend>
+                                    <v-icon :icon="status?.llm_enabled ? 'mdi-check-circle' : 'mdi-alert-circle'"
+                                        size="x-small"></v-icon>
+                                </template>
+                                LLM 服务
+                            </v-chip>
+
+                            <v-chip class="status-chip" :color="status?.stt_enabled ? 'success' : 'grey-lighten-2'"
+                                variant="elevated" size="small">
+                                <template v-slot:prepend>
+                                    <v-icon :icon="status?.stt_enabled ? 'mdi-check-circle' : 'mdi-alert-circle'"
+                                        size="x-small"></v-icon>
+                                </template>
+                                语音转文本
+                            </v-chip>
+                        </div>
+
+                        <v-btn variant="tonal" rounded="lg" class="delete-chat-btn" v-if="currCid"
+                            @click="deleteConversation(currCid)" color="error" density="comfortable" size="small">
+                            <v-icon start size="small">mdi-delete</v-icon>
+                            删除此对话
+                        </v-btn>
+                    </div>
                 </div>
 
                 <!-- 右侧聊天内容区域 -->
@@ -77,14 +114,15 @@ marked.setOptions({
                                 <div v-if="msg.type == 'user'" class="user-message">
                                     <div class="message-bubble user-bubble">
                                         <span>{{ msg.message }}</span>
-                                        
+
                                         <!-- 图片附件 -->
                                         <div class="image-attachments" v-if="msg.image_url && msg.image_url.length > 0">
-                                            <div v-for="(img, index) in msg.image_url" :key="index" class="image-attachment">
+                                            <div v-for="(img, index) in msg.image_url" :key="index"
+                                                class="image-attachment">
                                                 <img :src="img" class="attached-image" />
                                             </div>
                                         </div>
-                                        
+
                                         <!-- 音频附件 -->
                                         <div class="audio-attachment" v-if="msg.audio_url && msg.audio_url.length > 0">
                                             <audio controls class="audio-player">
@@ -97,7 +135,7 @@ marked.setOptions({
                                         <v-icon icon="mdi-account" />
                                     </v-avatar>
                                 </div>
-                                
+
                                 <!-- 机器人消息 -->
                                 <div v-else class="bot-message">
                                     <v-avatar class="bot-avatar" color="deep-purple" size="36">
@@ -113,49 +151,30 @@ marked.setOptions({
 
                     <!-- 输入区域 -->
                     <div class="input-area fade-in">
-                        <v-text-field 
-                            id="input-field" 
-                            variant="outlined" 
-                            v-model="prompt" 
-                            :label="inputFieldLabel"
-                            placeholder="开始输入..." 
-                            :loading="loadingChat"
-                            clear-icon="mdi-close-circle" 
-                            clearable
-                            @click:clear="clearMessage" 
-                            class="message-input"
-                            @keydown="handleInputKeyDown"
-                            hide-details
-                        >
+                        <v-text-field id="input-field" variant="outlined" v-model="prompt" :label="inputFieldLabel"
+                            placeholder="开始输入..." :loading="loadingChat" clear-icon="mdi-close-circle" clearable
+                            @click:clear="clearMessage" class="message-input" @keydown="handleInputKeyDown"
+                            hide-details>
                             <template v-slot:loader>
-                                <v-progress-linear :active="loadingChat" height="3" color="deep-purple" indeterminate></v-progress-linear>
+                                <v-progress-linear :active="loadingChat" height="3" color="deep-purple"
+                                    indeterminate></v-progress-linear>
                             </template>
 
                             <template v-slot:append>
                                 <v-tooltip text="发送">
                                     <template v-slot:activator="{ props }">
-                                        <v-btn 
-                                            v-bind="props" 
-                                            @click="sendMessage" 
-                                            class="send-btn" 
-                                            icon="mdi-send" 
-                                            variant="text"
-                                            color="deep-purple"
-                                            :disabled="!prompt && stagedImagesUrl.length === 0 && !stagedAudioUrl"
-                                        />
+                                        <v-btn v-bind="props" @click="sendMessage" class="send-btn" icon="mdi-send"
+                                            variant="text" color="deep-purple"
+                                            :disabled="!prompt && stagedImagesUrl.length === 0 && !stagedAudioUrl" />
                                     </template>
                                 </v-tooltip>
 
                                 <v-tooltip text="语音输入">
                                     <template v-slot:activator="{ props }">
-                                        <v-btn 
-                                            v-bind="props"
-                                            @click="isRecording ? stopRecording() : startRecording()" 
-                                            class="record-btn" 
-                                            :icon="isRecording ? 'mdi-stop-circle' : 'mdi-microphone'"
-                                            variant="text"
-                                            :color="isRecording ? 'error' : 'deep-purple'"
-                                        />
+                                        <v-btn v-bind="props" @click="isRecording ? stopRecording() : startRecording()"
+                                            class="record-btn"
+                                            :icon="isRecording ? 'mdi-stop-circle' : 'mdi-microphone'" variant="text"
+                                            :color="isRecording ? 'error' : 'deep-purple'" />
                                     </template>
                                 </v-tooltip>
                             </template>
@@ -165,15 +184,17 @@ marked.setOptions({
                         <div class="attachments-preview" v-if="stagedImagesUrl.length > 0 || stagedAudioUrl">
                             <div v-for="(img, index) in stagedImagesUrl" :key="index" class="image-preview">
                                 <img :src="img" class="preview-image" />
-                                <v-btn @click="removeImage(index)" class="remove-attachment-btn" icon="mdi-close" size="small" color="error" variant="text" />
+                                <v-btn @click="removeImage(index)" class="remove-attachment-btn" icon="mdi-close"
+                                    size="small" color="error" variant="text" />
                             </div>
-                            
+
                             <div v-if="stagedAudioUrl" class="audio-preview">
                                 <v-chip color="deep-purple-lighten-4" class="audio-chip">
                                     <v-icon start icon="mdi-microphone" size="small"></v-icon>
                                     新录音
                                 </v-chip>
-                                <v-btn @click="removeAudio" class="remove-attachment-btn" icon="mdi-close" size="small" color="error" variant="text" />
+                                <v-btn @click="removeAudio" class="remove-attachment-btn" icon="mdi-close" size="small"
+                                    color="error" variant="text" />
                             </div>
                         </div>
                     </div>
@@ -206,9 +227,9 @@ export default {
 
             status: {},
             statusText: '',
-            
+
             eventSource: null,
-            
+
             // Ctrl键长按相关变量
             ctrlKeyDown: false,
             ctrlKeyTimer: null,
@@ -228,18 +249,17 @@ export default {
                 this.sendMessage();
             }
         }.bind(this));
-        
+
         // 添加keyup事件监听
         document.addEventListener('keyup', this.handleInputKeyUp);
     },
 
     beforeUnmount() {
-        console.log("111")
         if (this.eventSource) {
             this.eventSource.cancel();
             console.log('SSE连接已断开');
         }
-        
+
         // 移除keyup事件监听
         document.removeEventListener('keyup', this.handleInputKeyUp);
     },
@@ -265,6 +285,9 @@ export default {
 
             this.eventSource = reader
 
+            let in_streaming = false
+            let message_obj = null
+
             while (true) {
                 const { done, value } = await reader.read();
                 if (done) {
@@ -273,40 +296,67 @@ export default {
                 }
 
                 const chunk = decoder.decode(value, { stream: true });
-                console.log("!!!!", chunk);
 
-                if (chunk === '[HB]\n') {
-                    continue; // 心跳包
-                }
-                if (chunk === '[ERROR]\n') {
-                    continue;
-                }
+                // 可能有多行
 
-                if (chunk.startsWith('[IMAGE]')) {
-                    let img = chunk.replace('[IMAGE]', '');
-                    let bot_resp = {
-                        type: 'bot',
-                        message: `<img src="/api/chat/get_file?filename=${img}" style="max-width: 80%; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);"/>`
+                let lines = chunk.split('\n\n');
+
+                console.log('SSE数据:', lines);
+
+                for (let i = 0; i < lines.length; i++) {
+                    let line = lines[i].trim();
+
+                    if (!line) {
+                        continue;
                     }
-                    this.messages.push(bot_resp);
-                } else if (chunk.startsWith('[RECORD]')) {
-                    let audio = chunk.replace('[RECORD]', '');
-                    let bot_resp = {
-                        type: 'bot',
-                        message: `<audio controls class="audio-player">
-                                    <source src="/api/chat/get_file?filename=${audio}" type="audio/wav">
-                                    您的浏览器不支持音频播放。
-                                  </audio>`
+
+                    console.log(line)
+
+                    // data: {"type": "plain", "data": "helloworld"}
+                    let chunk_json = JSON.parse(line.replace('data: ', ''));
+
+                    if (chunk_json.type === 'heartbeat') {
+                        continue; // 心跳包
                     }
-                    this.messages.push(bot_resp);
-                } else {
-                    let bot_resp = {
-                        type: 'bot',
-                        message: chunk
+                    if (chunk_json.type === 'error') {
+                        console.error('Error received:', chunk_json.data);
+                        continue;
                     }
-                    this.messages.push(bot_resp);
+
+                    if (chunk_json.type === 'image') {
+                        let img = chunk_json.data.replace('[IMAGE]', '');
+                        let bot_resp = {
+                            type: 'bot',
+                            message: `<img src="/api/chat/get_file?filename=${img}" style="max-width: 80%; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);"/>`
+                        }
+                        this.messages.push(bot_resp);
+                    } else if (chunk_json.type === 'record') {
+                        let audio = chunk_json.data.replace('[RECORD]', '');
+                        let bot_resp = {
+                            type: 'bot',
+                            message: `<audio controls class="audio-player">
+                    <source src="/api/chat/get_file?filename=${audio}" type="audio/wav">
+                    您的浏览器不支持音频播放。
+                  </audio>`
+                        }
+                        this.messages.push(bot_resp);
+                    } else if (chunk_json.type === 'plain') {
+                        if (!in_streaming) {
+                            message_obj = {
+                                type: 'bot',
+                                message: ref(chunk_json.data),
+                            }
+                            this.messages.push(message_obj);
+                            in_streaming = true;
+                        } else {
+                            message_obj.message.value += chunk_json.data;
+                        }
+                    } else if (chunk_json.type === 'end') {
+                        in_streaming = false;
+                        continue;
+                    }
+                    this.scrollToBottom();
                 }
-                this.scrollToBottom();
             }
         },
 
@@ -526,42 +576,6 @@ export default {
                     this.stagedAudioUrl = "";
 
                     this.loadingChat = false;
-
-                    // const reader = response.body.getReader();  // 获取流的 Reader
-                    // const decoder = new TextDecoder();
-
-                    // const readStream = async () => {
-                    //     const { done, value } = await reader.read();  // 读取流中的数据
-                    //     if (done) {
-                    //         console.log("Stream finished.");
-                    //         return;
-                    //     }
-
-                    //     const chunk = decoder.decode(value, { stream: true });
-                    //     // bot_resp.message.value += chunk;
-
-                    //     console.log("!!!!", chunk);
-                    //     if (chunk.startsWith('[IMAGE]')) {
-                    //         let img = chunk.replace('[IMAGE]', '');
-                    //         let bot_resp = {
-                    //             type: 'bot',
-                    //             message: `<img src="/api/chat/get_file?filename=${img}" style="max-width: 80%; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);"/>`
-                    //         }
-                    //         this.messages.push(bot_resp);
-                    //     } else {
-                    //         let bot_resp = {
-                    //             type: 'bot',
-                    //             message: chunk
-                    //         }
-
-                    //         this.messages.push(bot_resp);
-                    //     }
-
-                    //     this.scrollToBottom();
-                    //     readStream();  // 递归读取流
-                    // };
-
-                    // readStream();
                 })
                 .catch(err => {
                     console.error(err);
@@ -578,9 +592,9 @@ export default {
             if (e.keyCode === 17) { // Ctrl键
                 // 防止重复触发
                 if (this.ctrlKeyDown) return;
-                
+
                 this.ctrlKeyDown = true;
-                
+
                 // 设置定时器识别长按
                 this.ctrlKeyTimer = setTimeout(() => {
                     if (this.ctrlKeyDown && !this.isRecording) {
@@ -589,17 +603,17 @@ export default {
                 }, this.ctrlKeyLongPressThreshold);
             }
         },
-        
+
         handleInputKeyUp(e) {
             if (e.keyCode === 17) { // Ctrl键
                 this.ctrlKeyDown = false;
-                
+
                 // 清除定时器
                 if (this.ctrlKeyTimer) {
                     clearTimeout(this.ctrlKeyTimer);
                     this.ctrlKeyTimer = null;
                 }
-                
+
                 // 如果正在录音，停止录音
                 if (this.isRecording) {
                     this.stopRecording();
@@ -613,19 +627,41 @@ export default {
 <style>
 /* 基础动画 */
 @keyframes fadeIn {
-    from { opacity: 0; transform: translateY(10px); }
-    to { opacity: 1; transform: translateY(0); }
+    from {
+        opacity: 0;
+        transform: translateY(10px);
+    }
+
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
 }
 
 @keyframes pulse {
-    0% { transform: scale(1); }
-    50% { transform: scale(1.05); }
-    100% { transform: scale(1); }
+    0% {
+        transform: scale(1);
+    }
+
+    50% {
+        transform: scale(1.05);
+    }
+
+    100% {
+        transform: scale(1);
+    }
 }
 
 @keyframes slideIn {
-    from { transform: translateX(20px); opacity: 0; }
-    to { transform: translateX(0); opacity: 1; }
+    from {
+        transform: translateX(20px);
+        opacity: 0;
+    }
+
+    to {
+        transform: translateX(0);
+        opacity: 1;
+    }
 }
 
 /* 聊天页面布局 */
@@ -650,84 +686,140 @@ export default {
     gap: 24px;
 }
 
-/* 侧边栏样式 */
+/* 侧边栏样式 - 优化版 */
 .sidebar-panel {
-    max-width: 240px;
-    min-width: 200px;
+    max-width: 270px;
+    min-width: 240px;
     display: flex;
     flex-direction: column;
-    padding: 16px 8px;
-    border-right: 1px solid #f0f0f0;
+    padding: 0;
+    border-right: 1px solid rgba(0, 0, 0, 0.05);
+    background-color: #fcfcfc;
+    height: 100%;
+    position: relative;
+}
+
+.sidebar-header {
+    padding: 16px;
+    border-bottom: 1px solid rgba(0, 0, 0, 0.04);
+}
+
+.conversations-container {
+    flex-grow: 1;
+    overflow-y: auto;
+    padding: 16px;
+}
+
+.sidebar-footer {
+    padding: 16px;
+    border-top: 1px solid rgba(0, 0, 0, 0.04);
+}
+
+.sidebar-section-title {
+    font-size: 12px;
+    font-weight: 500;
+    color: #666;
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+    margin-bottom: 12px;
+    padding-left: 4px;
 }
 
 .new-chat-btn {
-    margin-bottom: 16px;
-    min-width: 200px;
-    background-color: #f5f0ff !important;
-    color: #673ab7 !important;
+    width: 100%;
+    background-color: #673ab7 !important;
+    color: white !important;
     font-weight: 500;
-    box-shadow: none !important;
+    box-shadow: 0 2px 8px rgba(103, 58, 183, 0.25) !important;
     transition: all 0.2s ease;
+    text-transform: none;
+    letter-spacing: 0.25px;
 }
 
 .new-chat-btn:hover {
-    background-color: #ede7f6 !important;
+    background-color: #7e57c2 !important;
+    box-shadow: 0 4px 12px rgba(103, 58, 183, 0.3) !important;
     transform: translateY(-1px);
 }
 
 .conversation-list-card {
     border-radius: 12px;
     box-shadow: none !important;
-    border: 1px solid #f0f0f0;
-    background-color: #fafafa;
+    background-color: transparent;
 }
 
 .conversation-list {
-    max-height: 500px;
-    overflow-y: auto;
-    padding: 4px;
+    max-height: none;
+    overflow-y: visible;
+    padding: 0;
 }
 
 .conversation-item {
     margin-bottom: 4px;
     border-radius: 8px !important;
     transition: all 0.2s ease;
+    height: auto !important;
+    min-height: 56px;
+    padding: 8px 12px !important;
 }
 
 .conversation-item:hover {
-    background-color: #f5f0ff;
+    background-color: rgba(103, 58, 183, 0.05);
+}
+
+.conversation-title {
+    font-weight: 500;
+    font-size: 14px;
+    line-height: 1.3;
+    margin-bottom: 2px;
 }
 
 .timestamp {
     font-size: 11px;
     color: #999;
-    margin-top: 4px;
+    line-height: 1;
 }
 
 .status-chips {
-    margin-top: 16px;
     display: flex;
     flex-wrap: wrap;
     gap: 8px;
+    margin-bottom: 16px;
 }
 
 .status-chip {
     font-size: 12px;
+    height: 24px !important;
 }
 
 .delete-chat-btn {
-    position: fixed;
-    bottom: 24px;
-    margin-bottom: 16px;
-    min-width: 200px;
-    background-color: #feecec !important;
+    width: 100%;
     color: #d32f2f !important;
     font-weight: 500;
     box-shadow: none !important;
+    margin-top: 8px;
+    text-transform: none;
+    letter-spacing: 0.25px;
+    font-size: 12px;
 }
 
 .delete-chat-btn:hover {
-    background-color: #ffebee !important;
+    background-color: rgba(211, 47, 47, 0.1) !important;
+}
+
+.no-conversations {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    justify-content: center;
+    height: 150px;
+    opacity: 0.6;
+    gap: 12px;
+}
+
+.no-conversations-text {
+    font-size: 14px;
+    color: #999;
 }
 
 /* 聊天内容区域 */
@@ -828,7 +920,8 @@ export default {
     border-top-left-radius: 4px;
 }
 
-.user-avatar, .bot-avatar {
+.user-avatar,
+.bot-avatar {
     align-self: flex-end;
 }
 
@@ -881,7 +974,8 @@ export default {
     margin: 0 auto;
 }
 
-.send-btn, .record-btn {
+.send-btn,
+.record-btn {
     margin-left: 4px;
 }
 
@@ -895,7 +989,8 @@ export default {
     flex-wrap: wrap;
 }
 
-.image-preview, .audio-preview {
+.image-preview,
+.audio-preview {
     position: relative;
     display: inline-flex;
 }
@@ -1003,7 +1098,7 @@ export default {
     margin: 16px 0;
 }
 
-.markdown-content th, 
+.markdown-content th,
 .markdown-content td {
     border: 1px solid #eee;
     padding: 8px 12px;

dashboard/src/views/ExtensionMarketplace.vue

@@ -22,7 +22,7 @@ import 'highlight.js/styles/github.css';
 
                 <v-card-title>
                     <div class="pl-2 pt-2 d-flex align-center pe-2">
-                        <h2>✨ 插件市场</h2>
+                        <h2>✨ 插件市场</h2>                    
                         <v-btn icon size="small" style="margin-left: 8px" variant="plain" @click="jumpToPluginMarket()">
                             <v-icon size="small">mdi-help</v-icon>
                             <v-tooltip activator="parent" location="start">
@@ -52,6 +52,7 @@ import 'highlight.js/styles/github.css';
 
                 <v-card-text>
 
+                    <small style="color: #bbb;">每个插件都是作者无偿提供的的劳动成果。如果您喜欢某个插件，请 Star！</small>
                     <div v-if="pinnedPlugins.length > 0" class="mt-4">
                         <h2>🥳 推荐</h2>
 
@@ -71,7 +72,7 @@ import 'highlight.js/styles/github.css';
                             <v-data-table :headers="pluginMarketHeaders" :items="pluginMarketData" item-key="name"
                                 :loading="loading_" v-model:search="marketSearch" :filter-keys="filterKeys">
                                 <template v-slot:item.name="{ item }">
-                                    <div class="d-flex align-center">
+                                    <div class="d-flex align-center" style="overflow-x: scroll;">
                                         <img v-if="item.logo" :src="item.logo"
                                             style="height: 80px; width: 80px; margin-right: 8px; border-radius: 8px; margin-top: 8px; margin-bottom: 8px;"
                                             alt="logo">
@@ -83,24 +84,43 @@ import 'highlight.js/styles/github.css';
                                     </div>
 
                                 </template>
+
+                                <template v-slot:item.desc="{ item }">
+                                    <div style="font-size: 13px;">
+                                        {{ item.desc }}
+                                    </div>
+                                </template>
                                 <template v-slot:item.author="{ item }">
-                                    <span v-if="item?.social_link"><a :href="item?.social_link">{{ item.author
+                                    <div style="font-size: 12px;">
+                                        <span v-if="item?.social_link"><a :href="item?.social_link">{{ item.author
                                     }}</a></span>
                                     <span v-else>{{ item.author }}</span>
+                                    </div>
+  
+                                </template>
+                                <template v-slot:item.stars="{ item }">
+                                    <a :href="item.repo">
+                                        <img v-if="item.repo" 
+                                        :src="`https://img.shields.io/github/stars/${item.repo.split('/').slice(-2).join('/')}.svg`" 
+                                        :alt="`Stars for ${item.name}`"
+                                        style="height: 20px;"
+                                    />
+                                    </a>
+                                    
                                 </template>
                                 <template v-slot:item.tags="{ item }">
                                     <span v-if="item.tags.length === 0">无</span>
-                                    <v-chip v-for="tag in item.tags" :key="tag" color="primary" size="small">{{ tag
+                                    <v-chip v-for="tag in item.tags" :key="tag" color="primary" size="x-small">{{ tag
                                         }}</v-chip>
                                 </template>
                                 <template v-slot:item.actions="{ item }">
-                                    <v-btn v-if="!item.installed" class="text-none mr-2" size="small" 
+                                    <v-btn v-if="!item.installed" class="text-none mr-2" size="x-small" 
                                         variant="flat" border
                                         @click="extension_url = item.repo; newExtension()">安装</v-btn>
-                                    <v-btn v-else class="text-none mr-2" size="small" variant="flat" border
+                                    <v-btn v-else class="text-none mr-2" size="x-small" variant="flat" border
                                         disabled>已安装</v-btn>
-                                    <v-btn class="text-none mr-2" size="small" variant="flat" border 
-                                        @click="open(item.repo)">查看帮助</v-btn>
+                                    <v-btn class="text-none mr-2" size="x-small" variant="flat" border 
+                                        @click="open(item.repo)">帮助</v-btn>
                                 </template>
                             </v-data-table>
                         </v-col>
@@ -259,10 +279,11 @@ export default {
             announcement: "",
             isListView: true,
             pluginMarketHeaders: [
-                { title: '名称', key: 'name', maxWidth: '150px' },
+                { title: '名称', key: 'name', maxWidth: '200px' },
                 { title: '描述', key: 'desc', maxWidth: '250px' },
-                { title: '作者', key: 'author', maxWidth: '60px' },
-                { title: '标签', key: 'tags', maxWidth: '60px' },
+                { title: '作者', key: 'author', maxWidth: '70px' },
+                { title: 'Star数', key: 'stars', maxWidth: '100px' },
+                { title: '标签', key: 'tags', maxWidth: '100px' },
                 { title: '操作', key: 'actions', sortable: false }
             ],
             marketSearch: "",

dashboard/src/views/ExtensionPage.vue

@@ -3,6 +3,7 @@ import ExtensionCard from '@/components/shared/ExtensionCard.vue';
 import WaitingForRestart from '@/components/shared/WaitingForRestart.vue';
 import AstrBotConfig from '@/components/shared/AstrBotConfig.vue';
 import ConsoleDisplayer from '@/components/shared/ConsoleDisplayer.vue';
+import ReadmeDialog from '@/components/shared/ReadmeDialog.vue';
 import axios from 'axios';
 import { useCommonStore } from '@/stores/common';
 
@@ -35,6 +36,20 @@ const selectedPlugin = ref({});
 const curr_namespace = ref("");
 const wfr = ref(null);
 
+const readmeDialog = reactive({
+  show: false,
+  pluginName: '',
+  repoUrl: null
+});
+// 平台插件配置
+const platformEnableDialog = ref(false);
+const platformEnableData = reactive({
+  platforms: [],
+  plugins: [],
+  platform_enable: {}
+});
+const loadingPlatformData = ref(false);
+
 const plugin_handler_info_headers = [
   { title: '行为类型', key: 'event_type_h' },
   { title: '描述', key: 'desc', maxWidth: '250px' },
@@ -225,6 +240,107 @@ const reloadPlugin = async (plugin_name) => {
   }
 };
 
+const viewReadme = (plugin) => {
+  readmeDialog.pluginName = plugin.name;
+  readmeDialog.repoUrl = plugin.repo;
+  readmeDialog.show = true;
+};
+
+// 获取插件平台可用性配置
+const getPlatformEnableConfig = async () => {
+  loadingPlatformData.value = true;
+  try {
+    const res = await axios.get('/api/plugin/platform_enable/get');
+    if (res.data.status === "error") {
+      toast(res.data.message, "error");
+      return;
+    }
+    
+    platformEnableData.platforms = res.data.data.platforms;
+    platformEnableData.plugins = res.data.data.plugins;
+    platformEnableData.platform_enable = res.data.data.platform_enable;
+    
+    // 如果没有平台，给出提示但仍显示对话框
+    if (platformEnableData.platforms.length === 0) {
+      toast("未添加任何平台适配器，请先在平台管理中添加平台", "warning");
+    } else {
+      // 确保每个平台都有一个配置对象
+      platformEnableData.platforms.forEach(platform => {
+        if (!platformEnableData.platform_enable[platform.name]) {
+          platformEnableData.platform_enable[platform.name] = {};
+        }
+        
+        // 确保每个插件在每个平台都有一个配置项
+        platformEnableData.plugins.forEach(plugin => {
+          if (platformEnableData.platform_enable[platform.name][plugin.name] === undefined) {
+            platformEnableData.platform_enable[platform.name][plugin.name] = true; // 默认启用
+          }
+        });
+      });
+    }
+    
+    platformEnableDialog.value = true;
+  } catch (err) {
+    toast("获取平台插件配置失败: " + err, "error");
+  } finally {
+    loadingPlatformData.value = false;
+  }
+};
+
+// 保存插件平台可用性配置
+const savePlatformEnableConfig = async () => {
+  loadingPlatformData.value = true;
+  try {
+    const res = await axios.post('/api/plugin/platform_enable/set', {
+      platform_enable: platformEnableData.platform_enable
+    });
+    
+    if (res.data.status === "error") {
+      toast(res.data.message, "error");
+      return;
+    }
+    
+    toast(res.data.message, "success");
+    platformEnableDialog.value = false;
+  } catch (err) {
+    toast("保存平台插件配置失败: " + err, "error");
+  } finally {
+    loadingPlatformData.value = false;
+  }
+};
+
+// 全选指定平台的所有插件
+const selectAllPluginsForPlatform = (platformName, isSelected, onlyReserved = null) => {
+  // 确保平台存在于platform_enable中
+  if (!platformEnableData.platform_enable[platformName]) {
+    platformEnableData.platform_enable[platformName] = {};
+  }
+  
+  // 为所有插件设置相同的状态
+  platformEnableData.plugins.forEach(plugin => {
+    // 如果onlyReserved为null，处理所有插件
+    // 如果onlyReserved为true，只处理系统插件
+    // 如果onlyReserved为false，只处理非系统插件
+    if (onlyReserved === null || plugin.reserved === onlyReserved) {
+      platformEnableData.platform_enable[platformName][plugin.name] = isSelected;
+    }
+  });
+};
+
+// 反选指定平台的所有插件
+const toggleAllPluginsForPlatform = (platformName) => {
+  // 确保平台存在于platform_enable中
+  if (!platformEnableData.platform_enable[platformName]) {
+    platformEnableData.platform_enable[platformName] = {};
+  }
+  
+  // 对每个插件进行反选操作
+  platformEnableData.plugins.forEach(plugin => {
+    const currentState = platformEnableData.platform_enable[platformName][plugin.name];
+    platformEnableData.platform_enable[platformName][plugin.name] = !currentState;
+  });
+};
+
 // 生命周期
 onMounted(async () => {
   await getExtensions();
@@ -248,6 +364,9 @@ onMounted(async () => {
           <v-btn class="text-none ml-2" size="small" variant="flat" border @click="toggleShowReserved">
             {{ showReserved ? '隐藏系统保留插件' : '显示系统保留插件' }}
           </v-btn>
+          <v-btn class="text-none ml-2" size="small" variant="flat" color="primary" border @click="getPlatformEnableConfig">
+            平台命令配置
+          </v-btn>
           <v-dialog max-width="500px" v-if="extension_data.message">
             <template v-slot:activator="{ props }">
               <v-btn v-bind="props" icon size="small" color="error" style="margin-left: auto;" variant="plain">
@@ -279,11 +398,111 @@ onMounted(async () => {
         @update="updateExtension(extension.name)"
         @reload="reloadPlugin(extension.name)"
         @toggle-activation="extension.activated ? pluginOff(extension) : pluginOn(extension)"
-        @view-handlers="showPluginInfo(extension)">
+        @view-handlers="showPluginInfo(extension)"
+        @view-readme="viewReadme(extension)">
       </ExtensionCard>
     </v-col>
   </v-row>
 
+  <!-- 插件平台配置对话框 -->
+  <v-dialog v-model="platformEnableDialog" max-width="800" persistent>
+    <v-card>
+      <v-card-title>
+        <span class="headline">平台命令可用性配置</span>
+      </v-card-title>
+      <v-card-subtitle>
+        设置每个插件在不同平台上的可用性，勾选表示启用
+      </v-card-subtitle>
+      <v-card-text>
+        <v-overlay
+          :model-value="loadingPlatformData"
+          class="align-center justify-center"
+          persistent
+        >
+          <v-progress-circular
+            color="primary"
+            indeterminate
+            size="64"
+          ></v-progress-circular>
+        </v-overlay>
+        
+        <div v-if="platformEnableData.platforms.length === 0" class="text-center pa-4">
+          <v-icon icon="mdi-alert" color="warning" size="64" class="mb-4"></v-icon>
+          <div class="text-h6 mb-2">未找到平台适配器</div>
+          <div class="text-body-1 mb-4">请先在 <strong>平台管理</strong> 中添加并配置平台适配器，然后再设置插件的平台可用性</div>
+          <v-btn color="primary" to="/platforms">前往平台管理</v-btn>
+        </div>
+        
+        <v-table v-else>
+          <thead>
+            <tr>
+              <th>插件名称</th>
+              <th v-for="platform in platformEnableData.platforms" :key="platform.name">
+                <div class="d-flex align-center">
+                  {{ platform.display_name }}
+                  <v-menu>
+                    <template v-slot:activator="{ props }">
+                      <v-btn
+                        icon
+                        density="compact"
+                        variant="text"
+                        size="small"
+                        v-bind="props"
+                        class="ms-1"
+                      >
+                        <v-icon>mdi-dots-vertical</v-icon>
+                      </v-btn>
+                    </template>
+                    <v-list>
+                      <v-list-item @click="selectAllPluginsForPlatform(platform.name, true)">
+                        <v-list-item-title>全选</v-list-item-title>
+                      </v-list-item>
+                      <v-list-item @click="selectAllPluginsForPlatform(platform.name, true, false)">
+                        <v-list-item-title>全选普通插件</v-list-item-title>
+                      </v-list-item>
+                      <v-list-item @click="selectAllPluginsForPlatform(platform.name, true, true)">
+                        <v-list-item-title>全选系统插件</v-list-item-title>
+                      </v-list-item>
+                      <v-list-item @click="selectAllPluginsForPlatform(platform.name, false)">
+                        <v-list-item-title>全不选</v-list-item-title>
+                      </v-list-item>
+                      <v-list-item @click="toggleAllPluginsForPlatform(platform.name)">
+                        <v-list-item-title>反选</v-list-item-title>
+                      </v-list-item>
+                    </v-list>
+                  </v-menu>
+                </div>
+              </th>
+            </tr>
+          </thead>
+          <tbody>
+            <tr v-for="plugin in platformEnableData.plugins" :key="plugin.name">
+              <td>
+                <div class="d-flex align-center">
+                  {{ plugin.name }}
+                  <v-chip v-if="plugin.reserved" color="primary" size="x-small" class="ml-2">系统</v-chip>
+                </div>
+                <div class="text-caption text-grey">{{ plugin.desc }}</div>
+              </td>
+              <td v-for="platform in platformEnableData.platforms" :key="platform.name">
+                <v-checkbox
+                  v-model="platformEnableData.platform_enable[platform.name][plugin.name]"
+                  hide-details
+                  density="compact"
+                ></v-checkbox>
+              </td>
+            </tr>
+          </tbody>
+        </v-table>
+      </v-card-text>
+      <v-card-actions>
+        <v-spacer></v-spacer>
+        <v-btn color="grey" text @click="platformEnableDialog = false">关闭</v-btn>
+        <v-btn v-if="platformEnableData.platforms.length > 0" color="primary" @click="savePlatformEnableConfig">保存</v-btn>
+      </v-card-actions>
+    </v-card>
+  </v-dialog>
+
   <!-- 配置对话框 -->
   <v-dialog v-model="configDialog" width="1000">
     <v-card>
@@ -365,4 +584,19 @@ onMounted(async () => {
   </v-snackbar>
 
   <WaitingForRestart ref="wfr"></WaitingForRestart>
-</template>
+  
+  <ReadmeDialog
+    v-model:show="readmeDialog.show"
+    :plugin-name="readmeDialog.pluginName"
+    :repo-url="readmeDialog.repoUrl"
+  />
+</template>
+
+<style scoped>
+.plugin-handler-item {
+  margin-bottom: 10px;
+  padding: 5px;
+  border-radius: 5px;
+  background-color: #f5f5f5;
+}
+</style>

packages/astrbot/main.py

@@ -880,8 +880,9 @@ UID: {user_id} 此 ID 可用于设置管理员。
         provider = self.context.get_using_provider()
         if provider and provider.meta().type == "dify":
             assert isinstance(provider, ProviderDify)
-            await provider.api_client.delete_chat_conv(message.unified_msg_origin)
-            provider.conversation_ids.pop(message.unified_msg_origin, None)
+            dify_cid = provider.conversation_ids.pop(message.unified_msg_origin, None)
+            if dify_cid:
+                await provider.api_client.delete_chat_conv(message.unified_msg_origin, dify_cid)
             message.set_result(
                 MessageEventResult().message(
                     "删除当前对话成功。不再处于对话状态，使用 /switch 序号 切换到其他对话或 /new 创建。"
@@ -1232,7 +1233,7 @@ UID: {user_id} 此 ID 可用于设置管理员。
                 if mood_dialogs := persona["_mood_imitation_dialogs_processed"]:
                     req.system_prompt += "\nHere are few shots of dialogs, you need to imitate the tone of 'B' in the following dialogs to respond:\n"
                     req.system_prompt += mood_dialogs
-                if begin_dialogs := persona["_begin_dialogs_processed"]:
+                if (begin_dialogs := persona["_begin_dialogs_processed"]) and not req.contexts:
                     req.contexts[:0] = begin_dialogs
 
         if quote and quote.message_str:

packages/reminder/main.py

@@ -22,7 +22,7 @@ class Main(star.Star):
         if not self.timezone:
             self.timezone = None
         try:
-             self.timezone = zoneinfo.ZoneInfo(self.timezone) if self.timezone else None
+            self.timezone = zoneinfo.ZoneInfo(self.timezone) if self.timezone else None
         except Exception as e:
             logger.error(f"时区设置错误: {e}, 使用本地时区")
             self.timezone = None