chore: bump version to 4.5.1

* fix(helper.py): 修复了迁移逻辑，现在不再误判

* fix(helper.py): 没有data_v3 dir

.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml

@@ -26,12 +26,13 @@ body:
       value: |
         ```json
         {
-          "name": "插件名",
-          "desc": "插件介绍",
+          "name": "插件名，请以 astrbot_plugin_ 开头",
+          "display_name": "用于展示的插件名，方便人类阅读",
+          "desc": "插件的简短介绍",
           "author": "作者名",
           "repo": "插件仓库链接",
           "tags": [],
-          "social_link": ""
+          "social_link": "",
         }
         ```
     validations:

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -6,13 +6,13 @@ body:
   - type: markdown
     attributes:
       value: |
-        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。
+        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
   - type: textarea
     attributes:
       label: 发生了什么
       description: 描述你遇到的异常
       placeholder: >
-        一个清晰且具体的描述这个异常是什么。
+        一个清晰且具体的描述这个异常是什么。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
     validations:
       required: true
 
@@ -55,7 +55,7 @@ body:
     attributes:
       label: 报错日志
       description: >
-        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！
+        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
       placeholder: >
         请提供完整的报错日志或截图。
     validations:

.github/workflows/dashboard_ci.yml

@@ -36,7 +36,7 @@ jobs:
           zip -r dist.zip dist
 
       - name: Archive production artifacts
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v5
         with:
           name: dist-without-markdown
           path: |

README.md

@@ -8,7 +8,7 @@
 
 <div>
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=1" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 </div>
 
 <br>

astrbot/core/config/default.py

@@ -6,7 +6,7 @@ import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.5.0"
+VERSION = "4.5.1"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 # 默认配置
@@ -324,6 +324,10 @@ CONFIG_METADATA_2 = {
                     #     "type": "string",
                     #     "options": ["fullscreen", "embedded"],
                     # },
+                    "is_sandbox": {
+                        "description": "沙箱模式",
+                        "type": "bool",
+                    },
                     "satori_api_base_url": {
                         "description": "Satori API 终结点",
                         "type": "string",
@@ -767,6 +771,7 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "model_config": {"model": "grok-2-latest", "temperature": 0.4},
                         "custom_extra_body": {},
+                        "xai_native_search": False,
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "Anthropic": {
@@ -1258,8 +1263,38 @@ CONFIG_METADATA_2 = {
                         "rerank_model": "BAAI/bge-reranker-base",
                         "timeout": 20,
                     },
+                    "Xinference Rerank": {
+                        "id": "xinference_rerank",
+                        "type": "xinference_rerank",
+                        "provider": "xinference",
+                        "provider_type": "rerank",
+                        "enable": True,
+                        "rerank_api_key": "",
+                        "rerank_api_base": "http://127.0.0.1:9997",
+                        "rerank_model": "BAAI/bge-reranker-base",
+                        "timeout": 20,
+                        "launch_model_if_not_running": False,
+                    },
+                    "Xinference STT": {
+                        "id": "xinference_stt",
+                        "type": "xinference_stt",
+                        "provider": "xinference",
+                        "provider_type": "speech_to_text",
+                        "enable": False,
+                        "api_key": "",
+                        "api_base": "http://127.0.0.1:9997",
+                        "model": "whisper-large-v3",
+                        "timeout": 180,
+                        "launch_model_if_not_running": False,
+                    },
                 },
                 "items": {
+                    "xai_native_search": {
+                        "description": "启用原生搜索功能",
+                        "type": "bool",
+                        "hint": "启用后，将通过 xAI 的 Chat Completions 原生 Live Search 进行联网检索（按需计费）。仅对 xAI 提供商生效。",
+                        "condition": {"provider": "xai"},
+                    },
                     "rerank_api_base": {
                         "description": "重排序模型 API Base URL",
                         "type": "string",
@@ -1274,6 +1309,11 @@ CONFIG_METADATA_2 = {
                         "description": "重排序模型名称",
                         "type": "string",
                     },
+                    "launch_model_if_not_running": {
+                        "description": "模型未运行时自动启动",
+                        "type": "bool",
+                        "hint": "如果模型当前未在 Xinference 服务中运行，是否尝试自动启动它。在生产环境中建议关闭。",
+                    },
                     "modalities": {
                         "description": "模型能力",
                         "type": "list",

astrbot/core/db/migration/helper.py

@@ -17,8 +17,11 @@ async def check_migration_needed_v4(db_helper: BaseDatabase) -> bool:
     检查是否需要进行数据库迁移
     如果存在 data_v3.db 并且 preference 中没有 migration_done_v4，则需要进行迁移。
     """
-    data_v3_exists = os.path.exists(get_astrbot_data_path())
-    if not data_v3_exists:
+    # 仅当 data 目录下存在旧版本数据（data_v3.db 文件）时才考虑迁移
+    data_dir = get_astrbot_data_path()
+    data_v3_db = os.path.join(data_dir, "data_v3.db")
+
+    if not os.path.exists(data_v3_db):
         return False
     migration_done = await db_helper.get_preference(
         "global", "global", "migration_done_v4"
@@ -32,7 +35,7 @@ async def do_migration_v4(
     db_helper: BaseDatabase,
     platform_id_map: dict[str, dict[str, str]],
     astrbot_config: AstrBotConfig,
-):
+) -> None:
     """
     执行数据库迁移
     迁移旧的 webchat_conversation 表到新的 conversation 表。

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

@@ -100,8 +100,11 @@ class DingtalkPlatformAdapter(Platform):
         abm.raw_message = message
 
         if abm.type == MessageType.GROUP_MESSAGE:
-            if message.is_in_at_list:
-                abm.message.append(At(qq=abm.self_id))
+            # 处理所有被 @ 的用户（包括机器人自己，因 at_users 已包含）
+            if message.at_users:
+                for user in message.at_users:
+                    if user.dingtalk_id:
+                        abm.message.append(At(qq=user.dingtalk_id))
             abm.group_id = message.conversation_id
             if self.unique_session:
                 abm.session_id = abm.sender.user_id

astrbot/core/provider/manager.py

@@ -259,6 +259,10 @@ class ProviderManager:
                     from .sources.whisper_selfhosted_source import (
                         ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost,
                     )
+                case "xinference_stt":
+                    from .sources.xinference_stt_provider import (
+                        ProviderXinferenceSTT as ProviderXinferenceSTT,
+                    )
                 case "openai_tts_api":
                     from .sources.openai_tts_api_source import (
                         ProviderOpenAITTSAPI as ProviderOpenAITTSAPI,
@@ -311,6 +315,10 @@ class ProviderManager:
                     from .sources.vllm_rerank_source import (
                         VLLMRerankProvider as VLLMRerankProvider,
                     )
+                case "xinference_rerank":
+                    from .sources.xinference_rerank_source import (
+                        XinferenceRerankProvider as XinferenceRerankProvider,
+                    )
         except (ImportError, ModuleNotFoundError) as e:
             logger.critical(
                 f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。"

astrbot/core/provider/sources/openai_source.py

@@ -68,6 +68,28 @@ class ProviderOpenAIOfficial(Provider):
         model = model_config.get("model", "unknown")
         self.set_model(model)
 
+    def _maybe_inject_xai_search(self, payloads: dict, **kwargs):
+        """当开启 xAI 原生搜索时，向请求体注入 Live Search 参数。
+
+        - 仅在 provider_config.xai_native_search 为 True 时生效
+        - 默认注入 {"mode": "auto"}
+        - 允许通过 kwargs 使用 xai_search_mode 覆盖（on/auto/off）
+        """
+        if not bool(self.provider_config.get("xai_native_search", False)):
+            return
+
+        mode = kwargs.get("xai_search_mode", "auto")
+        mode = str(mode).lower()
+        if mode not in ("auto", "on", "off"):
+            mode = "auto"
+
+        # off 时不注入，保持与未开启一致
+        if mode == "off":
+            return
+
+        # OpenAI SDK 不识别的字段会在 _query/_query_stream 中放入 extra_body
+        payloads["search_parameters"] = {"mode": mode}
+
     async def get_models(self):
         try:
             models_str = []
@@ -271,6 +293,9 @@ class ProviderOpenAIOfficial(Provider):
 
         payloads = {"messages": context_query, **model_config}
 
+        # xAI 原生搜索参数（最小侵入地在此处注入）
+        self._maybe_inject_xai_search(payloads, **kwargs)
+
         return payloads, context_query
 
     async def _handle_api_error(

astrbot/core/provider/sources/xinference_rerank_source.py

@@ -0,0 +1,108 @@
+from xinference_client.client.restful.async_restful_client import (
+    AsyncClient as Client,
+)
+from astrbot import logger
+from ..provider import RerankProvider
+from ..register import register_provider_adapter
+from ..entities import ProviderType, RerankResult
+
+
+@register_provider_adapter(
+    "xinference_rerank",
+    "Xinference Rerank 适配器",
+    provider_type=ProviderType.RERANK,
+)
+class XinferenceRerankProvider(RerankProvider):
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config, provider_settings)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+        self.base_url = provider_config.get("rerank_api_base", "http://127.0.0.1:8000")
+        self.base_url = self.base_url.rstrip("/")
+        self.timeout = provider_config.get("timeout", 20)
+        self.model_name = provider_config.get("rerank_model", "BAAI/bge-reranker-base")
+        self.api_key = provider_config.get("rerank_api_key")
+        self.launch_model_if_not_running = provider_config.get(
+            "launch_model_if_not_running", False
+        )
+        self.client = None
+        self.model = None
+        self.model_uid = None
+
+    async def initialize(self):
+        if self.api_key:
+            logger.info("Xinference Rerank: Using API key for authentication.")
+            self.client = Client(self.base_url, api_key=self.api_key)
+        else:
+            logger.info("Xinference Rerank: No API key provided.")
+            self.client = Client(self.base_url)
+
+        try:
+            running_models = await self.client.list_models()
+            for uid, model_spec in running_models.items():
+                if model_spec.get("model_name") == self.model_name:
+                    logger.info(
+                        f"Model '{self.model_name}' is already running with UID: {uid}"
+                    )
+                    self.model_uid = uid
+                    break
+
+            if self.model_uid is None:
+                if self.launch_model_if_not_running:
+                    logger.info(f"Launching {self.model_name} model...")
+                    self.model_uid = await self.client.launch_model(
+                        model_name=self.model_name, model_type="rerank"
+                    )
+                    logger.info("Model launched.")
+                else:
+                    logger.warning(
+                        f"Model '{self.model_name}' is not running and auto-launch is disabled. Provider will not be available."
+                    )
+                    return
+
+            if self.model_uid:
+                self.model = await self.client.get_model(self.model_uid)
+
+        except Exception as e:
+            logger.error(f"Failed to initialize Xinference model: {e}")
+            logger.debug(
+                f"Xinference initialization failed with exception: {e}", exc_info=True
+            )
+            self.model = None
+
+    async def rerank(
+        self, query: str, documents: list[str], top_n: int | None = None
+    ) -> list[RerankResult]:
+        if not self.model:
+            logger.error("Xinference rerank model is not initialized.")
+            return []
+        try:
+            response = await self.model.rerank(documents, query, top_n)
+            results = response.get("results", [])
+            logger.debug(f"Rerank API response: {response}")
+
+            if not results:
+                logger.warning(
+                    f"Rerank API returned an empty list. Original response: {response}"
+                )
+
+            return [
+                RerankResult(
+                    index=result["index"],
+                    relevance_score=result["relevance_score"],
+                )
+                for result in results
+            ]
+        except Exception as e:
+            logger.error(f"Xinference rerank failed: {e}")
+            logger.debug(f"Xinference rerank failed with exception: {e}", exc_info=True)
+            return []
+
+    async def terminate(self) -> None:
+        """关闭客户端会话"""
+        if self.client:
+            logger.info("Closing Xinference rerank client...")
+            try:
+                await self.client.close()
+            except Exception as e:
+                logger.error(f"Failed to close Xinference client: {e}", exc_info=True)

astrbot/core/provider/sources/xinference_stt_provider.py

@@ -0,0 +1,187 @@
+import uuid
+import os
+import aiohttp
+from xinference_client.client.restful.async_restful_client import (
+    AsyncClient as Client,
+)
+from ..provider import STTProvider
+from ..entities import ProviderType
+from ..register import register_provider_adapter
+from astrbot.core import logger
+from astrbot.core.utils.tencent_record_helper import tencent_silk_to_wav
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+
+
+@register_provider_adapter(
+    "xinference_stt",
+    "Xinference STT",
+    provider_type=ProviderType.SPEECH_TO_TEXT,
+)
+class ProviderXinferenceSTT(STTProvider):
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config, provider_settings)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+        self.base_url = provider_config.get("api_base", "http://127.0.0.1:9997")
+        self.base_url = self.base_url.rstrip("/")
+        self.timeout = provider_config.get("timeout", 180)
+        self.model_name = provider_config.get("model", "whisper-large-v3")
+        self.api_key = provider_config.get("api_key")
+        self.launch_model_if_not_running = provider_config.get(
+            "launch_model_if_not_running", False
+        )
+        self.client = None
+        self.model_uid = None
+
+    async def initialize(self):
+        if self.api_key:
+            logger.info("Xinference STT: Using API key for authentication.")
+            self.client = Client(self.base_url, api_key=self.api_key)
+        else:
+            logger.info("Xinference STT: No API key provided.")
+            self.client = Client(self.base_url)
+
+        try:
+            running_models = await self.client.list_models()
+            for uid, model_spec in running_models.items():
+                if model_spec.get("model_name") == self.model_name:
+                    logger.info(
+                        f"Model '{self.model_name}' is already running with UID: {uid}"
+                    )
+                    self.model_uid = uid
+                    break
+
+            if self.model_uid is None:
+                if self.launch_model_if_not_running:
+                    logger.info(f"Launching {self.model_name} model...")
+                    self.model_uid = await self.client.launch_model(
+                        model_name=self.model_name, model_type="audio"
+                    )
+                    logger.info("Model launched.")
+                else:
+                    logger.warning(
+                        f"Model '{self.model_name}' is not running and auto-launch is disabled. Provider will not be available."
+                    )
+                    return
+
+        except Exception as e:
+            logger.error(f"Failed to initialize Xinference model: {e}")
+            logger.debug(
+                f"Xinference initialization failed with exception: {e}", exc_info=True
+            )
+
+    async def get_text(self, audio_url: str) -> str:
+        if not self.model_uid or self.client is None or self.client.session is None:
+            logger.error("Xinference STT model is not initialized.")
+            return ""
+
+        audio_bytes = None
+        temp_files = []
+        is_tencent = False
+
+        try:
+            # 1. Get audio bytes
+            if audio_url.startswith("http"):
+                if "multimedia.nt.qq.com.cn" in audio_url:
+                    is_tencent = True
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(audio_url, timeout=self.timeout) as resp:
+                        if resp.status == 200:
+                            audio_bytes = await resp.read()
+                        else:
+                            logger.error(
+                                f"Failed to download audio from {audio_url}, status: {resp.status}"
+                            )
+                            return ""
+            else:
+                if os.path.exists(audio_url):
+                    with open(audio_url, "rb") as f:
+                        audio_bytes = f.read()
+                else:
+                    logger.error(f"File not found: {audio_url}")
+                    return ""
+
+            if not audio_bytes:
+                logger.error("Audio bytes are empty.")
+                return ""
+
+            # 2. Check for conversion
+            needs_conversion = False
+            if (
+                audio_url.endswith((".amr", ".silk"))
+                or is_tencent
+                or b"SILK" in audio_bytes[:8]
+            ):
+                needs_conversion = True
+
+            # 3. Perform conversion if needed
+            if needs_conversion:
+                logger.info("Audio requires conversion, using temporary files...")
+                temp_dir = os.path.join(get_astrbot_data_path(), "temp")
+                os.makedirs(temp_dir, exist_ok=True)
+
+                input_path = os.path.join(temp_dir, str(uuid.uuid4()))
+                output_path = os.path.join(temp_dir, str(uuid.uuid4()) + ".wav")
+                temp_files.extend([input_path, output_path])
+
+                with open(input_path, "wb") as f:
+                    f.write(audio_bytes)
+
+                logger.info("Converting silk/amr file to wav ...")
+                await tencent_silk_to_wav(input_path, output_path)
+
+                with open(output_path, "rb") as f:
+                    audio_bytes = f.read()
+
+            # 4. Transcribe
+            # 官方asyncCLient的客户端似乎实现有点问题，这里直接用aiohttp实现openai标准兼容请求，提交issue等待官方修复后再改回来
+            url = f"{self.base_url}/v1/audio/transcriptions"
+            headers = {
+                "accept": "application/json",
+            }
+            if self.client and self.client._headers:
+                headers.update(self.client._headers)
+
+            data = aiohttp.FormData()
+            data.add_field("model", self.model_uid)
+            data.add_field(
+                "file", audio_bytes, filename="audio.wav", content_type="audio/wav"
+            )
+
+            async with self.client.session.post(
+                url, data=data, headers=headers, timeout=self.timeout
+            ) as resp:
+                if resp.status == 200:
+                    result = await resp.json()
+                    text = result.get("text", "")
+                    logger.debug(f"Xinference STT result: {text}")
+                    return text
+                else:
+                    error_text = await resp.text()
+                    logger.error(
+                        f"Xinference STT transcription failed with status {resp.status}: {error_text}"
+                    )
+                    return ""
+
+        except Exception as e:
+            logger.error(f"Xinference STT failed: {e}")
+            logger.debug(f"Xinference STT failed with exception: {e}", exc_info=True)
+            return ""
+        finally:
+            # 5. Cleanup
+            for temp_file in temp_files:
+                try:
+                    if os.path.exists(temp_file):
+                        os.remove(temp_file)
+                        logger.debug(f"Removed temporary file: {temp_file}")
+                except Exception as e:
+                    logger.error(f"Failed to remove temporary file {temp_file}: {e}")
+
+    async def terminate(self) -> None:
+        """关闭客户端会话"""
+        if self.client:
+            logger.info("Closing Xinference STT client...")
+            try:
+                await self.client.close()
+            except Exception as e:
+                logger.error(f"Failed to close Xinference client: {e}", exc_info=True)

astrbot/core/star/context.py

@@ -1,5 +1,4 @@
 from asyncio import Queue
-from typing import List, Union
 
 from astrbot.core.provider.provider import (
     Provider,
@@ -11,7 +10,7 @@ from astrbot.core.provider.provider import (
 from astrbot.core.provider.entities import ProviderType
 from astrbot.core.db import BaseDatabase
 from astrbot.core.config.astrbot_config import AstrBotConfig
-from astrbot.core.provider.func_tool_manager import FunctionToolManager
+from astrbot.core.provider.func_tool_manager import FunctionToolManager, FunctionTool
 from astrbot.core.platform.astr_message_event import MessageSesion
 from astrbot.core.message.message_event_result import MessageChain
 from astrbot.core.provider.manager import ProviderManager
@@ -25,7 +24,8 @@ from .star import star_registry, StarMetadata, star_map
 from .star_handler import star_handlers_registry, StarHandlerMetadata, EventType
 from .filter.command import CommandFilter
 from .filter.regex import RegexFilter
-from typing import Awaitable, Any, Callable
+from typing import Any
+from collections.abc import Awaitable, Callable
 from astrbot.core.conversation_mgr import ConversationManager
 from astrbot.core.star.filter.platform_adapter_type import (
     PlatformAdapterType,
@@ -42,7 +42,7 @@ class Context:
     registered_web_apis: list = []
 
     # back compatibility
-    _register_tasks: List[Awaitable] = []
+    _register_tasks: list[Awaitable] = []
     _star_manager = None
 
     def __init__(
@@ -78,7 +78,7 @@ class Context:
             if star.name == star_name:
                 return star
 
-    def get_all_stars(self) -> List[StarMetadata]:
+    def get_all_stars(self) -> list[StarMetadata]:
         """获取当前载入的所有插件 Metadata 的列表"""
         return star_registry
 
@@ -116,19 +116,19 @@ class Context:
         prov = self.provider_manager.inst_map.get(provider_id)
         return prov
 
-    def get_all_providers(self) -> List[Provider]:
+    def get_all_providers(self) -> list[Provider]:
         """获取所有用于文本生成任务的 LLM Provider(Chat_Completion 类型)。"""
         return self.provider_manager.provider_insts
 
-    def get_all_tts_providers(self) -> List[TTSProvider]:
+    def get_all_tts_providers(self) -> list[TTSProvider]:
         """获取所有用于 TTS 任务的 Provider。"""
         return self.provider_manager.tts_provider_insts
 
-    def get_all_stt_providers(self) -> List[STTProvider]:
+    def get_all_stt_providers(self) -> list[STTProvider]:
         """获取所有用于 STT 任务的 Provider。"""
         return self.provider_manager.stt_provider_insts
 
-    def get_all_embedding_providers(self) -> List[EmbeddingProvider]:
+    def get_all_embedding_providers(self) -> list[EmbeddingProvider]:
         """获取所有用于 Embedding 任务的 Provider。"""
         return self.provider_manager.embedding_provider_insts
 
@@ -196,9 +196,7 @@ class Context:
         return self._event_queue
 
     @deprecated(version="4.0.0", reason="Use get_platform_inst instead")
-    def get_platform(
-        self, platform_type: Union[PlatformAdapterType, str]
-    ) -> Platform | None:
+    def get_platform(self, platform_type: PlatformAdapterType | str) -> Platform | None:
         """
         获取指定类型的平台适配器。
 
@@ -231,7 +229,7 @@ class Context:
                 return platform
 
     async def send_message(
-        self, session: Union[str, MessageSesion], message_chain: MessageChain
+        self, session: str | MessageSesion, message_chain: MessageChain
     ) -> bool:
         """
         根据 session(unified_msg_origin) 主动发送消息。
@@ -258,6 +256,11 @@ class Context:
                 return True
         return False
 
+    def add_llm_tools(self, *tools: FunctionTool) -> None:
+        """添加 LLM 工具。"""
+        for tool in tools:
+            self.provider_manager.llm_tools.func_list.append(tool)
+
     """
     以下的方法已经不推荐使用。请从 AstrBot 文档查看更好的注册方式。
     """

changelogs/v4.5.1.md

@@ -0,0 +1,7 @@
+## What's Changed
+
+1. 修复：第一次启动时不再错误地弹出迁移提醒
+2. 新增：Xinference Rerank Provider, STT Provider
+3. 新增: xAI Grok Live Search
+4. 优化: 插件卡片左下角恢复 文档 按钮并新增 插件配置 按钮。
+5. 优化: 更好地适配 Class 方式注册 LLM Tool。

dashboard/src/components/shared/ExtensionCard.vue

@@ -202,13 +202,22 @@ const viewReadme = () => {
             </v-chip>
           </div>
 
-          <div class="mt-2" :class="{ 'text-caption': $vuetify.display.xs }" style="overflow-y: auto; height: 80px; font-size: 90%;">
+          <div class="mt-2" :class="{ 'text-caption': $vuetify.display.xs }" style="overflow-y: auto; height: 70px; font-size: 90%;">
             {{ extension.desc }}
           </div>
         </div>
       </div>
 
     </v-card-text>
+
+    <v-card-actions class="extension-actions">
+      <v-btn color="primary" size="small" @click="viewReadme">
+        {{ tm('buttons.viewDocs') }}
+      </v-btn>
+      <v-btn v-if="!marketMode" color="primary"  size="small" @click="configure">
+        {{ tm('card.actions.pluginConfig') }}
+      </v-btn>
+    </v-card-actions>
   </v-card>
 
 </template>
@@ -238,4 +247,9 @@ const viewReadme = () => {
     margin-left: 8px;
   }
 }
+
+.extension-actions {
+  margin-top: auto;
+  gap: 8px;
+}
 </style>

dashboard/src/views/ExtensionPage.vue

@@ -740,7 +740,7 @@ onMounted(async () => {
               <!-- 卡片视图 -->
               <div v-else>
                 <v-row v-if="filteredPlugins.length === 0" class="text-center">
-                  <v-col cols="12" class="pa-8">
+                  <v-col cols="12" class="pa-2">
                     <v-icon size="64" color="info" class="mb-4">mdi-puzzle-outline</v-icon>
                     <div class="text-h5 mb-2">{{ tm('empty.noPlugins') }}</div>
                     <div class="text-body-1 mb-4">{{ tm('empty.noPluginsDesc') }}</div>
@@ -748,8 +748,8 @@ onMounted(async () => {
                 </v-row>
 
                 <v-row>
-                  <v-col cols="12" md="6" lg="6" v-for="extension in filteredPlugins" :key="extension.name"
-                    class="pb-4">
+                  <v-col cols="12" md="6" lg="4" v-for="extension in filteredPlugins" :key="extension.name"
+                    class="pb-2">
                     <ExtensionCard :extension="extension" class="rounded-lg" style="background-color: rgb(var(--v-theme-mcpCardBg));"
                       @configure="openExtensionConfig(extension.name)" @uninstall="uninstallExtension(extension.name)"
                       @update="updateExtension(extension.name)" @reload="reloadPlugin(extension.name)"

packages/astrbot/commands/provider.py

@@ -159,7 +159,11 @@ class ProviderCommands:
                         message.set_result(
                             MessageEventResult().message("切换模型未知错误: " + str(e))
                         )
-                    message.set_result(MessageEventResult().message("切换模型成功。"))
+                    message.set_result(
+                        MessageEventResult().message(
+                            f"切换模型成功。当前提供商: [{prov.meta().id}] 当前模型: [{prov.get_model()}]"
+                        )
+                    )
             else:
                 prov.set_model(idx_or_name)
                 message.set_result(

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "4.5.0"
+version = "4.5.1"
 description = "易上手的多平台 LLM 聊天机器人及开发框架"
 readme = "README.md"
 requires-python = ">=3.10"
@@ -55,6 +55,7 @@ dependencies = [
     "rank-bm25>=0.2.2",
     "jieba>=0.42.1",
     "markitdown-no-magika[docx,xls,xlsx]>=0.1.2",
+    "xinference-client",
 ]
 
 [project.scripts]

requirements.txt

@@ -1,51 +1,54 @@
-aiohttp
-pydantic~=2.10.3
-psutil>=5.8.0
-openai
-anthropic
-qq-botpy
+aiocqhttp>=1.4.4
+aiodocker>=0.24.0
+aiohttp>=3.11.18
+aiocqhttp>=1.4.4
+aiodocker>=0.24.0
+aiohttp>=3.11.18
+aiosqlite>=0.21.0
+anthropic>=0.51.0
+apscheduler>=3.11.0
+beautifulsoup4>=4.13.4
+certifi>=2025.4.26
 chardet~=5.1.0
-Pillow
-beautifulsoup4
-mi-googlesearch-python
-readability-lxml
-quart
-lxml_html_clean
-colorlog
-aiocqhttp
-pyjwt
-apscheduler
-docstring_parser
-aiodocker
-silk-python
-lark-oapi
-ormsgpack
-cryptography
-dashscope
-python-telegram-bot
-wechatpy
-dingtalk-stream
-defusedxml
-mcp
-certifi
-pip
-telegramify-markdown
-google-genai
-click
-filelock
-watchfiles
-websockets
-faiss-cpu
-aiosqlite
+colorlog>=6.9.0
+cryptography>=44.0.3
+dashscope>=1.23.2
+defusedxml>=0.7.1
+deprecated>=1.2.18
+dingtalk-stream>=0.22.1
+docstring-parser>=0.16
+faiss-cpu==1.10.0
+filelock>=3.18.0
+google-genai>=1.14.0
+lark-oapi>=1.4.15
+lxml-html-clean>=0.4.2
+mcp>=1.8.0
+openai>=1.78.0
+ormsgpack>=1.9.1
+pillow>=11.2.1
+pip>=25.1.1
+psutil>=5.8.0
 py-cord>=2.6.1
-slack-sdk
-pydub
-sqlmodel
-deprecated
-sqlalchemy[asyncio]
-audioop-lts; python_version>='3.13'
-pypdf
-aiofiles
-rank-bm25
-jieba
-markitdown-no-magika[docx,xls,xlsx]
+pydantic~=2.10.3
+pydub>=0.25.1
+pyjwt>=2.10.1
+python-telegram-bot>=22.0
+qq-botpy>=1.2.1
+quart>=0.20.0
+readability-lxml>=0.8.4.1
+silk-python>=0.2.6
+slack-sdk>=3.35.0
+sqlalchemy[asyncio]>=2.0.41
+sqlmodel>=0.0.24
+telegramify-markdown>=0.5.1
+watchfiles>=1.0.5
+websockets>=15.0.1
+wechatpy>=1.8.18
+audioop-lts ; python_full_version >= '3.13'
+click>=8.2.1
+pypdf>=6.1.1
+aiofiles>=25.1.0
+rank-bm25>=0.2.2
+jieba>=0.42.1
+markitdown-no-magika[docx,xls,xlsx]>=0.1.2
+xinference-client