Implement googleSearch tool in openai_source.py for Gemini(OpenAI Compatible) provider

Co-authored-by: Soulter <37870767+Soulter@users.noreply.github.com>

astrbot/cli/utils/plugin.py

@@ -124,15 +124,17 @@ def build_plug_list(plugins_dir: Path) -> list:
             if metadata and all(
                 k in metadata for k in ["name", "desc", "version", "author", "repo"]
             ):
-                result.append({
-                    "name": str(metadata.get("name", "")),
-                    "desc": str(metadata.get("desc", "")),
-                    "version": str(metadata.get("version", "")),
-                    "author": str(metadata.get("author", "")),
-                    "repo": str(metadata.get("repo", "")),
-                    "status": PluginStatus.INSTALLED,
-                    "local_path": str(plugin_dir),
-                })
+                result.append(
+                    {
+                        "name": str(metadata.get("name", "")),
+                        "desc": str(metadata.get("desc", "")),
+                        "version": str(metadata.get("version", "")),
+                        "author": str(metadata.get("author", "")),
+                        "repo": str(metadata.get("repo", "")),
+                        "status": PluginStatus.INSTALLED,
+                        "local_path": str(plugin_dir),
+                    }
+                )
 
     # 获取在线插件列表
     online_plugins = []
@@ -142,15 +144,17 @@ def build_plug_list(plugins_dir: Path) -> list:
             resp.raise_for_status()
             data = resp.json()
             for plugin_id, plugin_info in data.items():
-                online_plugins.append({
-                    "name": str(plugin_id),
-                    "desc": str(plugin_info.get("desc", "")),
-                    "version": str(plugin_info.get("version", "")),
-                    "author": str(plugin_info.get("author", "")),
-                    "repo": str(plugin_info.get("repo", "")),
-                    "status": PluginStatus.NOT_INSTALLED,
-                    "local_path": None,
-                })
+                online_plugins.append(
+                    {
+                        "name": str(plugin_id),
+                        "desc": str(plugin_info.get("desc", "")),
+                        "version": str(plugin_info.get("version", "")),
+                        "author": str(plugin_info.get("author", "")),
+                        "repo": str(plugin_info.get("repo", "")),
+                        "status": PluginStatus.NOT_INSTALLED,
+                        "local_path": None,
+                    }
+                )
     except Exception as e:
         click.echo(f"获取在线插件列表失败: {e}", err=True)
 

astrbot/core/config/default.py

@@ -65,7 +65,7 @@ DEFAULT_CONFIG = {
         "show_tool_use_status": False,
         "streaming_segmented": False,
         "separate_provider": True,
-        "max_agent_step": 30
+        "max_agent_step": 30,
     },
     "provider_stt_settings": {
         "enable": False,
@@ -598,11 +598,8 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.openai.com/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "gpt-4o-mini",
-                            "temperature": 0.4
-                        },
-                        "hint": "也兼容所有与OpenAI API兼容的服务。"
+                        "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
+                        "hint": "也兼容所有与OpenAI API兼容的服务。",
                     },
                     "Azure OpenAI": {
                         "id": "azure",
@@ -614,10 +611,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "gpt-4o-mini",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
                     },
                     "xAI": {
                         "id": "xai",
@@ -628,10 +622,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.x.ai/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "grok-2-latest",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "grok-2-latest", "temperature": 0.4},
                     },
                     "Anthropic": {
                         "hint": "注意Claude系列模型的温度调节范围为0到1.0，超出可能导致报错",
@@ -646,11 +637,11 @@ CONFIG_METADATA_2 = {
                         "model_config": {
                             "model": "claude-3-5-sonnet-latest",
                             "max_tokens": 4096,
-                            "temperature": 0.2
+                            "temperature": 0.2,
                         },
                     },
                     "Ollama": {
-                        "hint":"启用前请确保已正确安装并运行 Ollama 服务端，Ollama默认不带鉴权，无需修改key",
+                        "hint": "启用前请确保已正确安装并运行 Ollama 服务端，Ollama默认不带鉴权，无需修改key",
                         "id": "ollama_default",
                         "provider": "ollama",
                         "type": "openai_chat_completion",
@@ -658,10 +649,7 @@ CONFIG_METADATA_2 = {
                         "enable": True,
                         "key": ["ollama"],  # ollama 的 key 默认是 ollama
                         "api_base": "http://localhost:11434/v1",
-                        "model_config": {
-                            "model": "llama3.1-8b",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "llama3.1-8b", "temperature": 0.4},
                     },
                     "LM Studio": {
                         "id": "lm_studio",
@@ -686,8 +674,9 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "model_config": {
                             "model": "gemini-1.5-flash",
-                            "temperature": 0.4
+                            "temperature": 0.4,
                         },
+                        "enable_google_search": False,
                     },
                     "Gemini": {
                         "id": "gemini_default",
@@ -700,7 +689,7 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "model_config": {
                             "model": "gemini-2.0-flash-exp",
-                            "temperature": 0.4
+                            "temperature": 0.4,
                         },
                         "gm_resp_image_modal": False,
                         "gm_native_search": False,
@@ -725,10 +714,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.deepseek.com/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "deepseek-chat",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "deepseek-chat", "temperature": 0.4},
                     },
                     "302.AI": {
                         "id": "302ai",
@@ -739,10 +725,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.302.ai/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "gpt-4.1-mini",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "gpt-4.1-mini", "temperature": 0.4},
                     },
                     "硅基流动": {
                         "id": "siliconflow",
@@ -755,7 +738,7 @@ CONFIG_METADATA_2 = {
                         "api_base": "https://api.siliconflow.cn/v1",
                         "model_config": {
                             "model": "deepseek-ai/DeepSeek-V3",
-                            "temperature": 0.4
+                            "temperature": 0.4,
                         },
                     },
                     "PPIO派欧云": {
@@ -769,7 +752,7 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "model_config": {
                             "model": "deepseek/deepseek-r1",
-                            "temperature": 0.4
+                            "temperature": 0.4,
                         },
                     },
                     "优云智算": {
@@ -794,10 +777,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "timeout": 120,
                         "api_base": "https://api.moonshot.cn/v1",
-                        "model_config": {
-                            "model": "moonshot-v1-8k",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "moonshot-v1-8k", "temperature": 0.4},
                     },
                     "智谱 AI": {
                         "id": "zhipu_default",
@@ -825,7 +805,7 @@ CONFIG_METADATA_2 = {
                         "dify_query_input_key": "astrbot_text_query",
                         "variables": {},
                         "timeout": 60,
-                        "hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致！"
+                        "hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致！",
                     },
                     "阿里云百炼应用": {
                         "id": "dashscope",
@@ -853,10 +833,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "timeout": 120,
                         "api_base": "https://api-inference.modelscope.cn/v1",
-                        "model_config": {
-                            "model": "Qwen/Qwen3-32B",
-                            "temperature": 0.4
-                        },
+                        "model_config": {"model": "Qwen/Qwen3-32B", "temperature": 0.4},
                     },
                     "FastGPT": {
                         "id": "fastgpt",
@@ -1600,6 +1577,11 @@ CONFIG_METADATA_2 = {
                         "type": "string",
                         "hint": "API Base URL 请在模型提供商处获得。如出现 404 报错，尝试在地址末尾加上 /v1",
                     },
+                    "enable_google_search": {
+                        "description": "启用 Google 搜索",
+                        "type": "bool",
+                        "hint": "启用后，Gemini(OpenAI兼容) 提供商将支持 googleSearch 函数工具调用，用于网页搜索功能。",
+                    },
                     "model_config": {
                         "description": "模型配置",
                         "type": "object",

astrbot/core/db/vec_db/faiss_impl/__init__.py

@@ -1,3 +1,3 @@
 from .vec_db import FaissVecDB
 
-__all__ = ["FaissVecDB"]
+__all__ = ["FaissVecDB"]

astrbot/core/message/components.py

@@ -128,6 +128,7 @@ class Plain(BaseMessageComponent):
     async def to_dict(self):
         return {"type": "text", "data": {"text": self.text}}
 
+
 class Face(BaseMessageComponent):
     type: ComponentType = "Face"
     id: int

astrbot/core/pipeline/process_stage/agent_runner/base.py

@@ -8,10 +8,11 @@ from enum import Enum, auto
 
 class AgentState(Enum):
     """Agent 状态枚举"""
-    IDLE = auto()          # 初始状态
-    RUNNING = auto()       # 运行中
-    DONE = auto()          # 完成
-    ERROR = auto()         # 错误状态
+
+    IDLE = auto()  # 初始状态
+    RUNNING = auto()  # 运行中
+    DONE = auto()  # 完成
+    ERROR = auto()  # 错误状态
 
 
 class AgentResponseData(T.TypedDict):

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

@@ -57,6 +57,7 @@ class DingtalkMessageEvent(AstrMessageEvent):
                     logger.error(f"钉钉图片处理失败: {e}")
                     logger.warning(f"跳过图片发送: {image_path}")
                     continue
+
     async def send(self, message: MessageChain):
         await self.send_with_client(self.client, message)
         await super().send(message)

astrbot/core/platform/sources/discord/client.py

@@ -41,7 +41,8 @@ class DiscordBotClient(discord.Bot):
                 await self.on_ready_once_callback()
             except Exception as e:
                 logger.error(
-                    f"[Discord] on_ready_once_callback 执行失败: {e}", exc_info=True)
+                    f"[Discord] on_ready_once_callback 执行失败: {e}", exc_info=True
+                )
 
     def _create_message_data(self, message: discord.Message) -> dict:
         """从 discord.Message 创建数据字典"""
@@ -90,7 +91,6 @@ class DiscordBotClient(discord.Bot):
             message_data = self._create_message_data(message)
             await self.on_message_received(message_data)
 
-
     def _extract_interaction_content(self, interaction: discord.Interaction) -> str:
         """从交互中提取内容"""
         interaction_type = interaction.type

astrbot/core/platform/sources/discord/components.py

@@ -79,9 +79,12 @@ class DiscordButton(BaseMessageComponent):
         self.url = url
         self.disabled = disabled
 
+
 class DiscordReference(BaseMessageComponent):
     """Discord引用组件"""
+
     type: str = "discord_reference"
+
     def __init__(self, message_id: str, channel_id: str):
         self.message_id = message_id
         self.channel_id = channel_id
@@ -98,7 +101,6 @@ class DiscordView(BaseMessageComponent):
         self.components = components or []
         self.timeout = timeout
 
-
     def to_discord_view(self) -> discord.ui.View:
         """转换为Discord View对象"""
         view = discord.ui.View(timeout=self.timeout)

astrbot/core/platform/sources/discord/discord_platform_event.py

@@ -53,7 +53,13 @@ class DiscordPlatformEvent(AstrMessageEvent):
 
         # 解析消息链为 Discord 所需的对象
         try:
-            content, files, view, embeds, reference_message_id = await self._parse_to_discord(message)
+            (
+                content,
+                files,
+                view,
+                embeds,
+                reference_message_id,
+            ) = await self._parse_to_discord(message)
         except Exception as e:
             logger.error(f"[Discord] 解析消息链时失败: {e}", exc_info=True)
             return
@@ -206,8 +212,7 @@ class DiscordPlatformEvent(AstrMessageEvent):
                         if await asyncio.to_thread(path.exists):
                             file_bytes = await asyncio.to_thread(path.read_bytes)
                             files.append(
-                                discord.File(BytesIO(file_bytes),
-                                             filename=i.name)
+                                discord.File(BytesIO(file_bytes), filename=i.name)
                             )
                         else:
                             logger.warning(

astrbot/core/platform/sources/slack/slack_adapter.py

@@ -308,7 +308,9 @@ class SlackAdapter(Platform):
                     base64_content = base64.b64encode(content).decode("utf-8")
                     return base64_content
                 else:
-                    logger.error(f"Failed to download slack file: {resp.status} {await resp.text()}")
+                    logger.error(
+                        f"Failed to download slack file: {resp.status} {await resp.text()}"
+                    )
                     raise Exception(f"下载文件失败: {resp.status}")
 
     async def run(self) -> Awaitable[Any]:

astrbot/core/platform/sources/slack/slack_event.py

@@ -75,7 +75,13 @@ class SlackMessageEvent(AstrMessageEvent):
                     "text": {"type": "mrkdwn", "text": "文件上传失败"},
                 }
             file_url = response["files"][0]["permalink"]
-            return {"type": "section", "text": {"type": "mrkdwn", "text": f"文件: <{file_url}|{segment.name or '文件'}>"}}
+            return {
+                "type": "section",
+                "text": {
+                    "type": "mrkdwn",
+                    "text": f"文件: <{file_url}|{segment.name or '文件'}>",
+                },
+            }
         else:
             return {"type": "section", "text": {"type": "mrkdwn", "text": str(segment)}}
 

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

@@ -66,7 +66,9 @@ class TelegramPlatformEvent(AstrMessageEvent):
         return chunks
 
     @classmethod
-    async def send_with_client(cls, client: ExtBot, message: MessageChain, user_name: str):
+    async def send_with_client(
+        cls, client: ExtBot, message: MessageChain, user_name: str
+    ):
         image_path = None
 
         has_reply = False

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

@@ -1,5 +1,6 @@
 import asyncio
 
+
 class WebChatQueueMgr:
     def __init__(self) -> None:
         self.queues = {}
@@ -30,4 +31,5 @@ class WebChatQueueMgr:
         """Check if a queue exists for the given conversation ID"""
         return conversation_id in self.queues
 
+
 webchat_queue_mgr = WebChatQueueMgr()

astrbot/core/platform/sources/wechatpadpro/wechatpadpro_adapter.py

@@ -213,10 +213,10 @@ class WeChatPadProAdapter(Platform):
     def _extract_auth_key(self, data):
         """Helper method to extract auth_key from response data."""
         if isinstance(data, dict):
-            auth_keys = data.get("authKeys") # 新接口
+            auth_keys = data.get("authKeys")  # 新接口
             if isinstance(auth_keys, list) and auth_keys:
                 return auth_keys[0]
-        elif isinstance(data, list) and data: # 旧接口
+        elif isinstance(data, list) and data:  # 旧接口
             return data[0]
         return None
 
@@ -234,7 +234,9 @@ class WeChatPadProAdapter(Platform):
             try:
                 async with session.post(url, params=params, json=payload) as response:
                     if response.status != 200:
-                        logger.error(f"生成授权码失败: {response.status}, {await response.text()}")
+                        logger.error(
+                            f"生成授权码失败: {response.status}, {await response.text()}"
+                        )
                         return
 
                     response_data = await response.json()
@@ -245,7 +247,9 @@ class WeChatPadProAdapter(Platform):
                         if self.auth_key:
                             logger.info("成功获取授权码")
                         else:
-                            logger.error(f"生成授权码成功但未找到授权码: {response_data}")
+                            logger.error(
+                                f"生成授权码成功但未找到授权码: {response_data}"
+                            )
                     else:
                         logger.error(f"生成授权码失败: {response_data}")
             except aiohttp.ClientConnectorError as e:

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

@@ -48,7 +48,12 @@ class WeChatKF(BaseWeChatAPI):
         注意：可能会出现返回条数少于limit的情况，需结合返回的has_more字段判断是否继续请求。
         :return: 接口调用结果
         """
-        data = {"token": token, "cursor": cursor, "limit": limit, "open_kfid": open_kfid}
+        data = {
+            "token": token,
+            "cursor": cursor,
+            "limit": limit,
+            "open_kfid": open_kfid,
+        }
         return self._post("kf/sync_msg", data=data)
 
     def get_service_state(self, open_kfid, external_userid):
@@ -72,7 +77,9 @@ class WeChatKF(BaseWeChatAPI):
         }
         return self._post("kf/service_state/get", data=data)
 
-    def trans_service_state(self, open_kfid, external_userid, service_state, servicer_userid=""):
+    def trans_service_state(
+        self, open_kfid, external_userid, service_state, servicer_userid=""
+    ):
         """
         变更会话状态
 
@@ -180,7 +187,9 @@ class WeChatKF(BaseWeChatAPI):
         """
         return self._get("kf/customer/get_upgrade_service_config")
 
-    def upgrade_service(self, open_kfid, external_userid, service_type, member=None, groupchat=None):
+    def upgrade_service(
+        self, open_kfid, external_userid, service_type, member=None, groupchat=None
+    ):
         """
         为客户升级为专员或客户群服务
 
@@ -246,7 +255,9 @@ class WeChatKF(BaseWeChatAPI):
         data = {"open_kfid": open_kfid, "start_time": start_time, "end_time": end_time}
         return self._post("kf/get_corp_statistic", data=data)
 
-    def get_servicer_statistic(self, start_time, end_time, open_kfid=None, servicer_userid=None):
+    def get_servicer_statistic(
+        self, start_time, end_time, open_kfid=None, servicer_userid=None
+    ):
         """
         获取「客户数据统计」接待人员明细数据
 

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

@@ -26,6 +26,7 @@ from optionaldict import optionaldict
 
 from wechatpy.client.api.base import BaseWeChatAPI
 
+
 class WeChatKFMessage(BaseWeChatAPI):
     """
     发送微信客服消息
@@ -125,35 +126,55 @@ class WeChatKFMessage(BaseWeChatAPI):
             msg={"msgtype": "news", "link": {"link": articles_data}},
         )
 
-    def send_msgmenu(self, user_id, open_kfid, head_content, menu_list, tail_content, msgid=""):
+    def send_msgmenu(
+        self, user_id, open_kfid, head_content, menu_list, tail_content, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "msgmenu",
-                "msgmenu": {"head_content": head_content, "list": menu_list, "tail_content": tail_content},
+                "msgmenu": {
+                    "head_content": head_content,
+                    "list": menu_list,
+                    "tail_content": tail_content,
+                },
             },
         )
 
-    def send_location(self, user_id, open_kfid, name, address, latitude, longitude, msgid=""):
+    def send_location(
+        self, user_id, open_kfid, name, address, latitude, longitude, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "location",
-                "msgmenu": {"name": name, "address": address, "latitude": latitude, "longitude": longitude},
+                "msgmenu": {
+                    "name": name,
+                    "address": address,
+                    "latitude": latitude,
+                    "longitude": longitude,
+                },
             },
         )
 
-    def send_miniprogram(self, user_id, open_kfid, appid, title, thumb_media_id, pagepath, msgid=""):
+    def send_miniprogram(
+        self, user_id, open_kfid, appid, title, thumb_media_id, pagepath, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "miniprogram",
-                "msgmenu": {"appid": appid, "title": title, "thumb_media_id": thumb_media_id, "pagepath": pagepath},
+                "msgmenu": {
+                    "appid": appid,
+                    "title": title,
+                    "thumb_media_id": thumb_media_id,
+                    "pagepath": pagepath,
+                },
             },
         )

astrbot/core/platform/sources/weixin_official_account/weixin_offacc_adapter.py

@@ -160,7 +160,9 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
                         self.wexin_event_workers[msg.id] = future
                         await self.convert_message(msg, future)
                     # I love shield so much!
-                    result = await asyncio.wait_for(asyncio.shield(future), 60)  # wait for 60s
+                    result = await asyncio.wait_for(
+                        asyncio.shield(future), 60
+                    )  # wait for 60s
                     logger.debug(f"Got future result: {result}")
                     self.wexin_event_workers.pop(msg.id, None)
                     return result  # xml. see weixin_offacc_event.py

astrbot/core/platform/sources/weixin_official_account/weixin_offacc_event.py

@@ -150,7 +150,6 @@ class WeixinOfficialAccountPlatformEvent(AstrMessageEvent):
                         return
                     logger.info(f"微信公众平台上传语音返回: {response}")
 
-
                     if active_send_mode:
                         self.client.message.send_voice(
                             message_obj.sender.user_id,

astrbot/core/provider/sources/openai_source.py

@@ -81,6 +81,17 @@ class ProviderOpenAIOfficial(Provider):
 
     async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
         if tools:
+            # Check if we need to add googleSearch function for Gemini(OpenAI Compatible)
+            if (
+                self.provider_config.get("enable_google_search", False)
+                and self.provider_config.get("api_base", "").find(
+                    "generativelanguage.googleapis.com"
+                )
+                != -1
+            ):
+                # Add googleSearch function as alias to web_search
+                await self._add_google_search_tool(tools)
+
             model = payloads.get("model", "").lower()
             omit_empty_param_field = "gemini" in model
             tool_list = tools.get_func_desc_openai_style(
@@ -124,6 +135,17 @@ class ProviderOpenAIOfficial(Provider):
     ) -> AsyncGenerator[LLMResponse, None]:
         """流式查询API，逐步返回结果"""
         if tools:
+            # Check if we need to add googleSearch function for Gemini(OpenAI Compatible)
+            if (
+                self.provider_config.get("enable_google_search", False)
+                and self.provider_config.get("api_base", "").find(
+                    "generativelanguage.googleapis.com"
+                )
+                != -1
+            ):
+                # Add googleSearch function as alias to web_search
+                await self._add_google_search_tool(tools)
+
             model = payloads.get("model", "").lower()
             omit_empty_param_field = "gemini" in model
             tool_list = tools.get_func_desc_openai_style(
@@ -553,3 +575,35 @@ class ProviderOpenAIOfficial(Provider):
             image_bs64 = base64.b64encode(f.read()).decode("utf-8")
             return "data:image/jpeg;base64," + image_bs64
         return ""
+
+    async def _add_google_search_tool(self, tools: FuncCall) -> None:
+        """Add googleSearch function as an alias to web_search for Gemini(OpenAI Compatible)"""
+        # Check if googleSearch is already added
+        for func in tools.func_list:
+            if func.name == "googleSearch":
+                return
+
+        # Check if web_search exists
+        web_search_func = None
+        for func in tools.func_list:
+            if func.name == "web_search":
+                web_search_func = func
+                break
+
+        if web_search_func is None:
+            # If web_search is not available, don't add googleSearch
+            return
+
+        # Add googleSearch as an alias to web_search with English description
+        tools.add_func(
+            name="googleSearch",
+            func_args=[
+                {
+                    "type": "string",
+                    "name": "query",
+                    "description": "The most relevant search keywords for the user's question, used to search on Google.",
+                }
+            ],
+            desc="Search the internet to answer user questions using Google search. Call this tool when users need to search the web for real-time information.",
+            handler=web_search_func.handler,
+        )

astrbot/core/star/context.py

@@ -2,7 +2,12 @@ from asyncio import Queue
 from typing import List, Union
 
 from astrbot.core import sp
-from astrbot.core.provider.provider import Provider, TTSProvider, STTProvider, EmbeddingProvider
+from astrbot.core.provider.provider import (
+    Provider,
+    TTSProvider,
+    STTProvider,
+    EmbeddingProvider,
+)
 from astrbot.core.provider.entities import ProviderType
 from astrbot.core.db import BaseDatabase
 from astrbot.core.config.astrbot_config import AstrBotConfig

astrbot/core/star/filter/command_group.py

@@ -113,8 +113,7 @@ class CommandGroupFilter(HandlerFilter):
                 + self.print_cmd_tree(self.sub_command_filters, event=event, cfg=cfg)
             )
             raise ValueError(
-                f"参数不足。{self.group_name} 指令组下有如下指令，请参考：\n"
-                + tree
+                f"参数不足。{self.group_name} 指令组下有如下指令，请参考：\n" + tree
             )
 
         # complete_command_names = [name + " " for name in complete_command_names]

astrbot/core/star/star_handler.py

@@ -7,6 +7,7 @@ from .star import star_map
 
 T = TypeVar("T", bound="StarHandlerMetadata")
 
+
 class StarHandlerRegistry(Generic[T]):
     def __init__(self):
         self.star_handlers_map: Dict[str, StarHandlerMetadata] = {}
@@ -49,7 +50,8 @@ class StarHandlerRegistry(Generic[T]):
         self, module_name: str
     ) -> List[StarHandlerMetadata]:
         return [
-            handler for handler in self._handlers
+            handler
+            for handler in self._handlers
             if handler.handler_module_path == module_name
         ]
 
@@ -67,6 +69,7 @@ class StarHandlerRegistry(Generic[T]):
     def __len__(self):
         return len(self._handlers)
 
+
 star_handlers_registry = StarHandlerRegistry()
 
 

astrbot/core/star/star_manager.py

@@ -809,11 +809,11 @@ class PluginManager:
         if star_metadata.star_cls is None:
             return
 
-        if '__del__' in star_metadata.star_cls_type.__dict__:
+        if "__del__" in star_metadata.star_cls_type.__dict__:
             asyncio.get_event_loop().run_in_executor(
                 None, star_metadata.star_cls.__del__
             )
-        elif 'terminate' in star_metadata.star_cls_type.__dict__:
+        elif "terminate" in star_metadata.star_cls_type.__dict__:
             await star_metadata.star_cls.terminate()
 
     async def turn_on_plugin(self, plugin_name: str):

astrbot/core/star/star_tools.py

@@ -182,7 +182,9 @@ class StarTools:
 
             plugin_name = metadata.name
 
-        data_dir = Path(os.path.join(get_astrbot_data_path(), "plugin_data", plugin_name))
+        data_dir = Path(
+            os.path.join(get_astrbot_data_path(), "plugin_data", plugin_name)
+        )
 
         try:
             data_dir.mkdir(parents=True, exist_ok=True)

astrbot/core/updator.py

@@ -56,9 +56,7 @@ class AstrBotUpdator(RepoZipUpdator):
         try:
             if "astrbot" in os.path.basename(sys.argv[0]):  # 兼容cli
                 if os.name == "nt":
-                    args = [
-                        f'"{arg}"' if " " in arg else arg for arg in sys.argv[1:]
-                    ]
+                    args = [f'"{arg}"' if " " in arg else arg for arg in sys.argv[1:]]
                 else:
                     args = sys.argv[1:]
                 os.execl(sys.executable, py, "-m", "astrbot.cli.__main__", *args)

astrbot/core/utils/shared_preferences.py

@@ -5,6 +5,7 @@ from .astrbot_path import get_astrbot_data_path
 
 _VT = TypeVar("_VT")
 
+
 class SharedPreferences:
     def __init__(self, path=None):
         if path is None:

astrbot/dashboard/routes/config.py

@@ -210,11 +210,16 @@ class ConfigRoute(Route):
                 response = await asyncio.wait_for(
                     provider.text_chat(prompt="REPLY `PONG` ONLY"), timeout=45.0
                 )
-                logger.debug(f"Received response from {status_info['name']}: {response}")
+                logger.debug(
+                    f"Received response from {status_info['name']}: {response}"
+                )
                 if response is not None:
                     status_info["status"] = "available"
                     response_text_snippet = ""
-                    if hasattr(response, "completion_text") and response.completion_text:
+                    if (
+                        hasattr(response, "completion_text")
+                        and response.completion_text
+                    ):
                         response_text_snippet = (
                             response.completion_text[:70] + "..."
                             if len(response.completion_text) > 70
@@ -233,29 +238,48 @@ class ConfigRoute(Route):
                         f"Provider {status_info['name']} (ID: {status_info['id']}) is available. Response snippet: '{response_text_snippet}'"
                     )
                 else:
-                    status_info["error"] = "Test call returned None, but expected an LLMResponse object."
-                    logger.warning(f"Provider {status_info['name']} (ID: {status_info['id']}) test call returned None.")
+                    status_info["error"] = (
+                        "Test call returned None, but expected an LLMResponse object."
+                    )
+                    logger.warning(
+                        f"Provider {status_info['name']} (ID: {status_info['id']}) test call returned None."
+                    )
 
             except asyncio.TimeoutError:
-                status_info["error"] = "Connection timed out after 45 seconds during test call."
-                logger.warning(f"Provider {status_info['name']} (ID: {status_info['id']}) timed out.")
+                status_info["error"] = (
+                    "Connection timed out after 45 seconds during test call."
+                )
+                logger.warning(
+                    f"Provider {status_info['name']} (ID: {status_info['id']}) timed out."
+                )
             except Exception as e:
                 error_message = str(e)
                 status_info["error"] = error_message
-                logger.warning(f"Provider {status_info['name']} (ID: {status_info['id']}) is unavailable. Error: {error_message}")
-                logger.debug(f"Traceback for {status_info['name']}:\n{traceback.format_exc()}")
+                logger.warning(
+                    f"Provider {status_info['name']} (ID: {status_info['id']}) is unavailable. Error: {error_message}"
+                )
+                logger.debug(
+                    f"Traceback for {status_info['name']}:\n{traceback.format_exc()}"
+                )
 
         elif provider_capability_type == ProviderType.EMBEDDING:
             try:
                 # For embedding, we can call the get_embedding method with a short prompt.
                 embedding_result = await provider.get_embedding("health_check")
-                if isinstance(embedding_result, list) and (not embedding_result or isinstance(embedding_result[0], float)):
+                if isinstance(embedding_result, list) and (
+                    not embedding_result or isinstance(embedding_result[0], float)
+                ):
                     status_info["status"] = "available"
                 else:
                     status_info["status"] = "unavailable"
-                    status_info["error"] = f"Embedding test failed: unexpected result type {type(embedding_result)}"
+                    status_info["error"] = (
+                        f"Embedding test failed: unexpected result type {type(embedding_result)}"
+                    )
             except Exception as e:
-                logger.error(f"Error testing embedding provider {provider_name}: {e}", exc_info=True)
+                logger.error(
+                    f"Error testing embedding provider {provider_name}: {e}",
+                    exc_info=True,
+                )
                 status_info["status"] = "unavailable"
                 status_info["error"] = f"Embedding test failed: {str(e)}"
 
@@ -267,41 +291,71 @@ class ConfigRoute(Route):
                     status_info["status"] = "available"
                 else:
                     status_info["status"] = "unavailable"
-                    status_info["error"] = f"TTS test failed: unexpected result type {type(audio_result)}"
+                    status_info["error"] = (
+                        f"TTS test failed: unexpected result type {type(audio_result)}"
+                    )
             except Exception as e:
-                logger.error(f"Error testing TTS provider {provider_name}: {e}", exc_info=True)
+                logger.error(
+                    f"Error testing TTS provider {provider_name}: {e}", exc_info=True
+                )
                 status_info["status"] = "unavailable"
                 status_info["error"] = f"TTS test failed: {str(e)}"
         elif provider_capability_type == ProviderType.SPEECH_TO_TEXT:
             try:
-                logger.debug(f"Sending health check audio to provider: {status_info['name']}")
-                sample_audio_path = os.path.join(get_astrbot_path(), "samples", "stt_health_check.wav")
+                logger.debug(
+                    f"Sending health check audio to provider: {status_info['name']}"
+                )
+                sample_audio_path = os.path.join(
+                    get_astrbot_path(), "samples", "stt_health_check.wav"
+                )
                 if not os.path.exists(sample_audio_path):
                     status_info["status"] = "unavailable"
-                    status_info["error"] = "STT test failed: sample audio file not found."
-                    logger.warning(f"STT test for {status_info['name']} failed: sample audio file not found at {sample_audio_path}")
+                    status_info["error"] = (
+                        "STT test failed: sample audio file not found."
+                    )
+                    logger.warning(
+                        f"STT test for {status_info['name']} failed: sample audio file not found at {sample_audio_path}"
+                    )
                 else:
                     text_result = await provider.get_text(sample_audio_path)
                     if isinstance(text_result, str) and text_result:
                         status_info["status"] = "available"
-                        snippet = text_result[:70] + "..." if len(text_result) > 70 else text_result
-                        logger.info(f"Provider {status_info['name']} (ID: {status_info['id']}) is available. Response snippet: '{snippet}'")
+                        snippet = (
+                            text_result[:70] + "..."
+                            if len(text_result) > 70
+                            else text_result
+                        )
+                        logger.info(
+                            f"Provider {status_info['name']} (ID: {status_info['id']}) is available. Response snippet: '{snippet}'"
+                        )
                     else:
                         status_info["status"] = "unavailable"
-                        status_info["error"] = f"STT test failed: unexpected result type {type(text_result)}"
-                        logger.warning(f"STT test for {status_info['name']} failed: unexpected result type {type(text_result)}")
+                        status_info["error"] = (
+                            f"STT test failed: unexpected result type {type(text_result)}"
+                        )
+                        logger.warning(
+                            f"STT test for {status_info['name']} failed: unexpected result type {type(text_result)}"
+                        )
             except Exception as e:
-                logger.error(f"Error testing STT provider {provider_name}: {e}", exc_info=True)
+                logger.error(
+                    f"Error testing STT provider {provider_name}: {e}", exc_info=True
+                )
                 status_info["status"] = "unavailable"
                 status_info["error"] = f"STT test failed: {str(e)}"
         else:
-            logger.debug(f"Provider {provider_name} is not a Chat Completion or Embedding provider. Marking as available without test. Meta: {meta}")
+            logger.debug(
+                f"Provider {provider_name} is not a Chat Completion or Embedding provider. Marking as available without test. Meta: {meta}"
+            )
             status_info["status"] = "available"
-            status_info["error"] = "This provider type is not tested and is assumed to be available."
+            status_info["error"] = (
+                "This provider type is not tested and is assumed to be available."
+            )
 
         return status_info
 
-    def _error_response(self, message: str, status_code: int = 500, log_fn=logger.error):
+    def _error_response(
+        self, message: str, status_code: int = 500, log_fn=logger.error
+    ):
         log_fn(message)
         # 记录更详细的traceback信息，但只在是严重错误时
         if status_code == 500:
@@ -312,7 +366,9 @@ class ConfigRoute(Route):
         """API: check a single LLM Provider's status by id"""
         provider_id = request.args.get("id")
         if not provider_id:
-            return self._error_response("Missing provider_id parameter", 400, logger.warning)
+            return self._error_response(
+                "Missing provider_id parameter", 400, logger.warning
+            )
 
         logger.info(f"API call: /config/provider/check_one id={provider_id}")
         try:
@@ -320,16 +376,21 @@ class ConfigRoute(Route):
             target = prov_mgr.inst_map.get(provider_id)
 
             if not target:
-                logger.warning(f"Provider with id '{provider_id}' not found in provider_manager.")
-                return Response().error(f"Provider with id '{provider_id}' not found").__dict__
+                logger.warning(
+                    f"Provider with id '{provider_id}' not found in provider_manager."
+                )
+                return (
+                    Response()
+                    .error(f"Provider with id '{provider_id}' not found")
+                    .__dict__
+                )
 
             result = await self._test_single_provider(target)
             return Response().ok(result).__dict__
 
         except Exception as e:
             return self._error_response(
-                f"Critical error checking provider {provider_id}: {e}",
-                500
+                f"Critical error checking provider {provider_id}: {e}", 500
             )
 
     async def get_configs(self):

astrbot/dashboard/routes/log.py

@@ -10,7 +10,9 @@ class LogRoute(Route):
         super().__init__(context)
         self.log_broker = log_broker
         self.app.add_url_rule("/api/live-log", view_func=self.log, methods=["GET"])
-        self.app.add_url_rule("/api/log-history", view_func=self.log_history, methods=["GET"])
+        self.app.add_url_rule(
+            "/api/log-history", view_func=self.log_history, methods=["GET"]
+        )
 
     async def log(self):
         async def stream():
@@ -48,9 +50,15 @@ class LogRoute(Route):
         """获取日志历史"""
         try:
             logs = list(self.log_broker.log_cache)
-            return Response().ok(data={
-                "logs": logs,
-            }).__dict__
+            return (
+                Response()
+                .ok(
+                    data={
+                        "logs": logs,
+                    }
+                )
+                .__dict__
+            )
         except BaseException as e:
             logger.error(f"获取日志历史失败: {e}")
             return Response().error(f"获取日志历史失败: {e}").__dict__

packages/web_searcher/main.py

@@ -30,9 +30,11 @@ class Main(star.Star):
         websearch = self.context.get_config()["provider_settings"]["web_search"]
         if websearch:
             self.context.activate_llm_tool("web_search")
+            self.context.activate_llm_tool("googleSearch")
             self.context.activate_llm_tool("fetch_url")
         else:
             self.context.deactivate_llm_tool("web_search")
+            self.context.deactivate_llm_tool("googleSearch")
             self.context.deactivate_llm_tool("fetch_url")
 
     async def _tidy_text(self, text: str) -> str:
@@ -70,12 +72,14 @@ class Main(star.Star):
             self.context.get_config()["provider_settings"]["web_search"] = True
             self.context.get_config().save_config()
             self.context.activate_llm_tool("web_search")
+            self.context.activate_llm_tool("googleSearch")
             self.context.activate_llm_tool("fetch_url")
             event.set_result(MessageEventResult().message("已开启网页搜索功能"))
         elif oper == "off":
             self.context.get_config()["provider_settings"]["web_search"] = False
             self.context.get_config().save_config()
             self.context.deactivate_llm_tool("web_search")
+            self.context.deactivate_llm_tool("googleSearch")
             self.context.deactivate_llm_tool("fetch_url")
             event.set_result(MessageEventResult().message("已关闭网页搜索功能"))
         else:
@@ -139,6 +143,16 @@ class Main(star.Star):
 
         return ret
 
+    @llm_tool("googleSearch")
+    async def google_search_alias(self, event: AstrMessageEvent, query: str) -> str:
+        """Search the internet to answer user questions using Google search. Call this tool when users need to search the web for real-time information.
+
+        Args:
+            query(string): The most relevant search keywords for the user's question, used to search on Google.
+        """
+        # This is an alias for web_search to provide better OpenAI API compatibility
+        return await self.search_from_search_engine(event, query)
+
     @llm_tool("fetch_url")
     async def fetch_website_content(self, event: AstrMessageEvent, url: str) -> str:
         """fetch the content of a website with the given web url