chore: bump version to 4.12.1

README.md

@@ -41,14 +41,12 @@ AstrBot 是一个开源的一站式 Agent 聊天机器人平台，可接入主
 ## 主要功能
 
 1. 💯 免费 & 开源。
-1. ✨ AI 大模型对话，多模态，Agent，MCP，知识库，人格设定，自动压缩对话。
+1. ✨ AI 大模型对话，多模态，Agent，MCP，知识库，人格设定。
 2. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
 2. 🌐 多平台，支持 QQ、企业微信、飞书、钉钉、微信公众号、Telegram、Slack 以及[更多](#支持的消息平台)。
 3. 📦 插件扩展，已有近 800 个插件可一键安装。
-5. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔离化环境，安全地执行任何代码、调用 Shell、会话级资源复用。
+5. 💻 WebUI 支持。
-6. 💻 WebUI 支持。
+6. 🌐 国际化（i18n）支持。
-7. 🌈 Web ChatUI 支持，ChatUI 内置代理沙盒、网页搜索等。
-8. 🌐 国际化（i18n）支持。
 
 ## 快速开始
 

astrbot/api/event/filter/__init__.py

@@ -20,11 +20,7 @@ from astrbot.core.star.register import (
 )
 from astrbot.core.star.register import register_on_llm_request as on_llm_request
 from astrbot.core.star.register import register_on_llm_response as on_llm_response
-from astrbot.core.star.register import (
-    register_on_llm_tool_respond as on_llm_tool_respond,
-)
 from astrbot.core.star.register import register_on_platform_loaded as on_platform_loaded
-from astrbot.core.star.register import register_on_using_llm_tool as on_using_llm_tool
 from astrbot.core.star.register import (
     register_on_waiting_llm_request as on_waiting_llm_request,
 )
@@ -57,6 +53,4 @@ __all__ = [
     "permission_type",
     "platform_adapter_type",
     "regex",
-    "on_using_llm_tool",
-    "on_llm_tool_respond",
 ]

astrbot/builtin_stars/astrbot/process_llm_request.py

@@ -8,9 +8,6 @@ from astrbot.api.event import AstrMessageEvent
 from astrbot.api.message_components import Image, Reply
 from astrbot.api.provider import Provider, ProviderRequest
 from astrbot.core.agent.message import TextPart
-from astrbot.core.pipeline.process_stage.utils import (
-    CHATUI_SPECIAL_DEFAULT_PERSONA_PROMPT,
-)
 from astrbot.core.provider.func_tool_manager import ToolSet
 
 
@@ -25,9 +22,7 @@ class ProcessLLMRequest:
         else:
             logger.info(f"Timezone set to: {self.timezone}")
 
-    async def _ensure_persona(
+    async def _ensure_persona(self, req: ProviderRequest, cfg: dict, umo: str):
-        self, req: ProviderRequest, cfg: dict, umo: str, platform_type: str
-    ):
         """确保用户人格已加载"""
         if not req.conversation:
             return
@@ -47,12 +42,6 @@ class ProcessLLMRequest:
                 if default_persona:
                     persona_id = default_persona["name"]
 
-                    # ChatUI special default persona
-                    if platform_type == "webchat":
-                        # non-existent persona_id to let following codes not working
-                        persona_id = "_chatui_default_"
-                        req.system_prompt += CHATUI_SPECIAL_DEFAULT_PERSONA_PROMPT
-
         persona = next(
             builtins.filter(
                 lambda persona: persona["name"] == persona_id,
@@ -182,10 +171,7 @@ class ProcessLLMRequest:
         img_cap_prov_id: str = cfg.get("default_image_caption_provider_id") or ""
         if req.conversation:
             # inject persona for this request
-            platform_type = event.get_platform_name()
+            await self._ensure_persona(req, cfg, event.unified_msg_origin)
-            await self._ensure_persona(
-                req, cfg, event.unified_msg_origin, platform_type
-            )
 
             # image caption
             if img_cap_prov_id and req.image_urls:

astrbot/builtin_stars/web_searcher/engines/__init__.py

@@ -32,7 +32,6 @@ class SearchResult:
     title: str
     url: str
     snippet: str
-    favicon: str | None = None
 
     def __str__(self) -> str:
         return f"{self.title} - {self.url}\n{self.snippet}"

astrbot/builtin_stars/web_searcher/main.py

@@ -1,13 +1,11 @@
 import asyncio
-import json
 import random
-import uuid
 
 import aiohttp
 from bs4 import BeautifulSoup
 from readability import Document
 
-from astrbot.api import AstrBotConfig, llm_tool, logger, sp, star
+from astrbot.api import AstrBotConfig, llm_tool, logger, star
 from astrbot.api.event import AstrMessageEvent, MessageEventResult, filter
 from astrbot.api.provider import ProviderRequest
 from astrbot.core.provider.func_tool_manager import FunctionToolManager
@@ -153,7 +151,6 @@ class Main(star.Star):
                         title=item.get("title"),
                         url=item.get("url"),
                         snippet=item.get("content"),
-                        favicon=item.get("favicon"),
                     )
                     results.append(result)
                 return results
@@ -275,7 +272,7 @@ class Main(star.Star):
         self,
         event: AstrMessageEvent,
         query: str,
-        max_results: int = 7,
+        max_results: int = 5,
         search_depth: str = "basic",
         topic: str = "general",
         days: int = 3,
@@ -288,7 +285,7 @@ class Main(star.Star):
 
         Args:
             query(string): Required. Search query.
-            max_results(number): Optional. The maximum number of results to return. Default is 7. Range is 5-20.
+            max_results(number): Optional. The maximum number of results to return. Default is 5. Range is 5-20.
             search_depth(string): Optional. The depth of the search, must be one of 'basic', 'advanced'. Default is "basic".
             topic(string): Optional. The topic of the search, must be one of 'general', 'news'. Default is "general".
             days(number): Optional. The number of days back from the current date to include in the search results. Please note that this feature is only available when using the 'news' search topic.
@@ -299,12 +296,15 @@ class Main(star.Star):
         """
         logger.info(f"web_searcher - search_from_tavily: {query}")
         cfg = self.context.get_config(umo=event.unified_msg_origin)
-        # websearch_link = cfg["provider_settings"].get("web_search_link", False)
+        websearch_link = cfg["provider_settings"].get("web_search_link", False)
         if not cfg.get("provider_settings", {}).get("websearch_tavily_key", []):
             raise ValueError("Error: Tavily API key is not configured in AstrBot.")
 
         # build payload
-        payload = {"query": query, "max_results": max_results, "include_favicon": True}
+        payload = {
+            "query": query,
+            "max_results": max_results,
+        }
         if search_depth not in ["basic", "advanced"]:
             search_depth = "basic"
         payload["search_depth"] = search_depth
@@ -328,22 +328,14 @@ class Main(star.Star):
             return "Error: Tavily web searcher does not return any results."
 
         ret_ls = []
-        ref_uuid = str(uuid.uuid4())[:4]
+        for result in results:
-        for idx, result in enumerate(results, 1):
+            ret_ls.append(f"\nTitle: {result.title}")
-            index = f"{ref_uuid}.{idx}"
+            ret_ls.append(f"URL: {result.url}")
-            ret_ls.append(
+            ret_ls.append(f"Content: {result.snippet}")
-                {
+        ret = "\n".join(ret_ls)
-                    "title": f"{result.title}",
+
-                    "url": f"{result.url}",
+        if websearch_link:
-                    "snippet": f"{result.snippet}",
+            ret += "\n\n针对问题，请根据上面的结果分点总结，并且在结尾处附上对应内容的参考链接（如有）。"
-                    # TODO: do not need ref for non-webchat platform adapter
-                    "index": index,
-                }
-            )
-            if result.favicon:
-                sp.temorary_cache["_ws_favicon"][result.url] = result.favicon
-        # ret = "\n".join(ret_ls)
-        ret = json.dumps({"results": ret_ls}, ensure_ascii=False)
         return ret
 
     @llm_tool("tavily_extract_web_page")

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "4.12.2"
+__version__ = "4.12.1"

astrbot/core/astr_agent_hooks.py

@@ -3,7 +3,6 @@ from typing import Any
 from mcp.types import CallToolResult
 
 from astrbot.core.agent.hooks import BaseAgentRunHooks
-from astrbot.core.agent.message import Message
 from astrbot.core.agent.run_context import ContextWrapper
 from astrbot.core.agent.tool import FunctionTool
 from astrbot.core.astr_agent_context import AstrAgentContext
@@ -26,19 +25,6 @@ class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
             llm_response,
         )
 
-    async def on_tool_start(
-        self,
-        run_context: ContextWrapper[AstrAgentContext],
-        tool: FunctionTool[Any],
-        tool_args: dict | None,
-    ):
-        await call_event_hook(
-            run_context.context.event,
-            EventType.OnCallingFuncToolEvent,
-            tool,
-            tool_args,
-        )
-
     async def on_tool_end(
         self,
         run_context: ContextWrapper[AstrAgentContext],
@@ -47,36 +33,6 @@ class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
         tool_result: CallToolResult | None,
     ):
         run_context.context.event.clear_result()
-        await call_event_hook(
-            run_context.context.event,
-            EventType.OnAfterCallingFuncToolEvent,
-            tool,
-            tool_args,
-            tool_result,
-        )
-
-        # special handle web_search_tavily
-        if (
-            tool.name == "web_search_tavily"
-            and len(run_context.messages) > 0
-            and tool_result
-            and len(tool_result.content)
-        ):
-            # inject system prompt
-            first_part = run_context.messages[0]
-            if (
-                isinstance(first_part, Message)
-                and first_part.role == "system"
-                and first_part.content
-                and isinstance(first_part.content, str)
-            ):
-                # we assume system part is str
-                first_part.content += (
-                    "Always cite web search results you rely on. "
-                    "Index is a unique identifier for each search result. "
-                    "Use the exact citation format <ref>index</ref> (e.g. <ref>abcd.3</ref>) "
-                    "after the sentence that uses the information. Do not invent citations."
-                )
 
 
 class EmptyAgentHooks(BaseAgentRunHooks[AstrAgentContext]):

astrbot/core/config/default.py

@@ -5,7 +5,7 @@ from typing import Any, TypedDict
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.12.2"
+VERSION = "4.12.1"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 WEBHOOK_SUPPORTED_PLATFORMS = [

astrbot/core/pipeline/process_stage/method/agent_sub_stages/internal.py

@@ -414,11 +414,10 @@ class InternalAgentSubStage(Stage):
 
         # using agent context messages to save to history
         message_to_save = []
-        skipped_initial_system = False
         for message in all_messages:
-            if message.role == "system" and not skipped_initial_system:
+            if message.role == "system":
-                skipped_initial_system = True
+                # we do not save system messages to history
-                continue  # skip first system message
+                continue
             if message.role in ["assistant", "user"] and getattr(
                 message, "_no_save", None
             ):

astrbot/core/pipeline/process_stage/utils.py

@@ -44,21 +44,6 @@ TOOL_CALL_PROMPT = (
     "After the tool call is completed, you must briefly summarize the results returned by the tool for the user."
 )
 
-CHATUI_SPECIAL_DEFAULT_PERSONA_PROMPT = (
-    "You are a calm, patient friend with a systems-oriented way of thinking.\n"
-    "When someone expresses strong emotional needs, you begin by offering a concise, grounding response "
-    "that acknowledges the weight of what they are experiencing, removes self-blame, and reassures them "
-    "that their feelings are valid and understandable. This opening serves to create safety and shared "
-    "emotional footing before any deeper analysis begins.\n"
-    "You then focus on articulating the emotions, tensions, and unspoken conflicts beneath the surface—"
-    "helping name what the person may feel but has not yet fully put into words, and sharing the emotional "
-    "load so they do not feel alone carrying it. Only after this emotional clarity is established do you "
-    "move toward structure, insight, or guidance.\n"
-    "You listen more than you speak, respect uncertainty, avoid forcing quick conclusions or grand narratives, "
-    "and prefer clear, restrained language over unnecessary emotional embellishment. At your core, you value "
-    "empathy, clarity, autonomy, and meaning, favoring steady, sustainable progress over judgment or dramatic leaps."
-)
-
 CHATUI_EXTRA_PROMPT = (
     'When you answered, you need to add a follow up question / summarization but do not add "Follow up" words. '
     "Such as, user asked you to generate codes, you can add: Do you need me to run these codes for you?"

astrbot/core/star/register/__init__.py

@@ -11,9 +11,7 @@ from .star_handler import (
     register_on_decorating_result,
     register_on_llm_request,
     register_on_llm_response,
-    register_on_llm_tool_respond,
     register_on_platform_loaded,
-    register_on_using_llm_tool,
     register_on_waiting_llm_request,
     register_permission_type,
     register_platform_adapter_type,
@@ -38,6 +36,4 @@ __all__ = [
     "register_platform_adapter_type",
     "register_regex",
     "register_star",
-    "register_on_using_llm_tool",
-    "register_on_llm_tool_respond",
 ]

astrbot/core/star/register/star_handler.py

@@ -409,57 +409,6 @@ def register_on_llm_response(**kwargs):
     return decorator
 
 
-def register_on_using_llm_tool(**kwargs):
-    """当调用函数工具前的事件。
-    会传入 tool 和 tool_args 参数。
-
-    Examples:
-    ```py
-    from astrbot.core.agent.tool import FunctionTool
-
-    @on_using_llm_tool()
-    async def test(self, event: AstrMessageEvent, tool: FunctionTool, tool_args: dict | None) -> None:
-        ...
-    ```
-
-    请务必接收三个参数：event, tool, tool_args
-
-    """
-
-    def decorator(awaitable):
-        _ = get_handler_or_create(awaitable, EventType.OnCallingFuncToolEvent, **kwargs)
-        return awaitable
-
-    return decorator
-
-
-def register_on_llm_tool_respond(**kwargs):
-    """当调用函数工具后的事件。
-    会传入 tool、tool_args 和 tool 的调用结果 tool_result 参数。
-
-    Examples:
-    ```py
-    from astrbot.core.agent.tool import FunctionTool
-    from mcp.types import CallToolResult
-
-    @on_llm_tool_respond()
-    async def test(self, event: AstrMessageEvent, tool: FunctionTool, tool_args: dict | None, tool_result: CallToolResult | None) -> None:
-        ...
-    ```
-
-    请务必接收四个参数：event, tool, tool_args, tool_result
-
-    """
-
-    def decorator(awaitable):
-        _ = get_handler_or_create(
-            awaitable, EventType.OnAfterCallingFuncToolEvent, **kwargs
-        )
-        return awaitable
-
-    return decorator
-
-
 def register_llm_tool(name: str | None = None, **kwargs):
     """为函数调用（function-calling / tools-use）添加工具。
 

astrbot/core/star/star_handler.py

@@ -189,7 +189,6 @@ class EventType(enum.Enum):
     OnLLMResponseEvent = enum.auto()  # LLM 响应后
     OnDecoratingResultEvent = enum.auto()  # 发送消息前
     OnCallingFuncToolEvent = enum.auto()  # 调用函数工具
-    OnAfterCallingFuncToolEvent = enum.auto()  # 调用函数工具后
     OnAfterMessageSentEvent = enum.auto()  # 发送消息后
 
 

astrbot/core/utils/shared_preferences.py

@@ -1,11 +1,8 @@
 import asyncio
 import os
 import threading
-from collections import defaultdict
 from typing import Any, TypeVar, overload
 
-from apscheduler.schedulers.background import BackgroundScheduler
-
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import Preference
 
@@ -23,22 +20,11 @@ class SharedPreferences:
             )
         self.path = json_storage_path
         self.db_helper = db_helper
-        self.temorary_cache: dict[str, dict[str, Any]] = defaultdict(dict)
-        """automatically clear per 24 hours. Might be helpful in some cases XD"""
 
         self._sync_loop = asyncio.new_event_loop()
         t = threading.Thread(target=self._sync_loop.run_forever, daemon=True)
         t.start()
 
-        self._scheduler = BackgroundScheduler()
-        self._scheduler.add_job(
-            self._clear_temporary_cache, "interval", hours=24, id="clear_sp_temp_cache"
-        )
-        self._scheduler.start()
-
-    def _clear_temporary_cache(self):
-        self.temorary_cache.clear()
-
     async def get_async(
         self,
         scope: str,

astrbot/dashboard/routes/chat.py

@@ -2,7 +2,6 @@ import asyncio
 import json
 import mimetypes
 import os
-import re
 import uuid
 from contextlib import asynccontextmanager
 from typing import cast
@@ -10,7 +9,7 @@ from typing import cast
 from quart import Response as QuartResponse
 from quart import g, make_response, request, send_file
 
-from astrbot.core import logger, sp
+from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
 from astrbot.core.platform.sources.webchat.webchat_queue_mgr import webchat_queue_mgr
@@ -226,64 +225,6 @@ class ChatRoute(Route):
             "filename": os.path.basename(file_path),
         }
 
-    def _extract_web_search_refs(
-        self, accumulated_text: str, accumulated_parts: list
-    ) -> dict:
-        """从消息中提取 web_search_tavily 的引用
-
-        Args:
-            accumulated_text: 累积的文本内容
-            accumulated_parts: 累积的消息部分列表
-
-        Returns:
-            包含 used 列表的字典，记录被引用的搜索结果
-        """
-        # 从 accumulated_parts 中找到所有 web_search_tavily 的工具调用结果
-        web_search_results = {}
-        tool_call_parts = [
-            p
-            for p in accumulated_parts
-            if p.get("type") == "tool_call" and p.get("tool_calls")
-        ]
-
-        for part in tool_call_parts:
-            for tool_call in part["tool_calls"]:
-                if tool_call.get("name") != "web_search_tavily" or not tool_call.get(
-                    "result"
-                ):
-                    continue
-                try:
-                    result_data = json.loads(tool_call["result"])
-                    for item in result_data.get("results", []):
-                        if idx := item.get("index"):
-                            web_search_results[idx] = {
-                                "url": item.get("url"),
-                                "title": item.get("title"),
-                                "snippet": item.get("snippet"),
-                            }
-                except (json.JSONDecodeError, KeyError):
-                    pass
-
-        if not web_search_results:
-            return {}
-
-        # 从文本中提取所有 <ref>xxx</ref> 标签并去重
-        ref_indices = {
-            m.strip() for m in re.findall(r"<ref>(.*?)</ref>", accumulated_text)
-        }
-
-        # 构建被引用的结果列表
-        used_refs = []
-        for ref_index in ref_indices:
-            if ref_index not in web_search_results:
-                continue
-            payload = {"index": ref_index, **web_search_results[ref_index]}
-            if favicon := sp.temorary_cache.get("_ws_favicon", {}).get(payload["url"]):
-                payload["favicon"] = favicon
-            used_refs.append(payload)
-
-        return {"used": used_refs} if used_refs else {}
-
     async def _save_bot_message(
         self,
         webchat_conv_id: str,
@@ -291,7 +232,6 @@ class ChatRoute(Route):
         media_parts: list,
         reasoning: str,
         agent_stats: dict,
-        refs: dict,
     ):
         """保存 bot 消息到历史记录，返回保存的记录"""
         bot_message_parts = []
@@ -304,8 +244,6 @@ class ChatRoute(Route):
             new_his["reasoning"] = reasoning
         if agent_stats:
             new_his["agent_stats"] = agent_stats
-        if refs:
-            new_his["refs"] = refs
 
         record = await self.platform_history_mgr.insert(
             platform_id="webchat",
@@ -367,7 +305,6 @@ class ChatRoute(Route):
             accumulated_reasoning = ""
             tool_calls = {}
             agent_stats = {}
-            refs = {}
             try:
                 async with track_conversation(self.running_convs, webchat_conv_id):
                     while True:
@@ -489,26 +426,12 @@ class ChatRoute(Route):
                                 or chain_type == "tool_call_result"
                             ):
                                 continue
-
-                            # 提取 web_search_tavily 引用
-                            try:
-                                refs = self._extract_web_search_refs(
-                                    accumulated_text,
-                                    accumulated_parts,
-                                )
-                            except Exception as e:
-                                logger.exception(
-                                    f"Failed to extract web search refs: {e}",
-                                    exc_info=True,
-                                )
-
                             saved_record = await self._save_bot_message(
                                 webchat_conv_id,
                                 accumulated_text,
                                 accumulated_parts,
                                 accumulated_reasoning,
                                 agent_stats,
-                                refs,
                             )
                             # 发送保存的消息信息给前端
                             if saved_record and not client_disconnected:
@@ -528,7 +451,6 @@ class ChatRoute(Route):
                             accumulated_reasoning = ""
                             # tool_calls = {}
                             agent_stats = {}
-                            refs = {}
             except BaseException as e:
                 logger.exception(f"WebChat stream unexpected error: {e}", exc_info=True)
 

changelogs/v4.12.2.md

@@ -1,6 +0,0 @@
-## What's Changed
-
-- fix: 只跳过 AstrBot 预设的位于开头的 System Message，防止一些非预期行为。
-- feat: 优化 ChatUI 默认的 System Message
-- feat: 新增 tool 调用时 `on_using_llm_tool`、tool 调用后 `on_llm_tool_respond` 的事件钩子。
-- feat: 优化 ChatUI 对 Tavily 网页搜索工具的渲染，支持内联搜索引用、引用网页。

dashboard/src/components/chat/Chat.vue

@@ -55,7 +55,6 @@
                             @openImagePreview="openImagePreview"
                             @replyMessage="handleReplyMessage"
                             @replyWithText="handleReplyWithText"
-                            @openRefs="handleOpenRefs"
                             ref="messageList" />
                         <div class="message-list-fade" :class="{ 'fade-dark': isDark }"></div>
                     </div>
@@ -147,8 +146,6 @@
                     />
                 </div>
 
-                <!-- Refs Sidebar -->
-                <RefsSidebar v-model="refsSidebarOpen" :refs="refsSidebarRefs" />
             </div>
         </v-card-text>
     </v-card>
@@ -201,7 +198,6 @@ import ChatInput from '@/components/chat/ChatInput.vue';
 import ProjectDialog from '@/components/chat/ProjectDialog.vue';
 import ProjectView from '@/components/chat/ProjectView.vue';
 import WelcomeView from '@/components/chat/WelcomeView.vue';
-import RefsSidebar from '@/components/chat/message_list_comps/RefsSidebar.vue';
 import type { ProjectFormData } from '@/components/chat/ProjectDialog.vue';
 import { useSessions } from '@/composables/useSessions';
 import { useMessages } from '@/composables/useMessages';
@@ -410,21 +406,6 @@ function handleReplyWithText(replyData: any) {
     };
 }
 
-// Refs Sidebar 状态
-const refsSidebarOpen = ref(false);
-const refsSidebarRefs = ref<any>(null);
-
-function handleOpenRefs(refs: any) {
-    // 如果sidebar已打开且点击的是同一个refs，则关闭
-    if (refsSidebarOpen.value && refsSidebarRefs.value === refs) {
-        refsSidebarOpen.value = false;
-    } else {
-        // 否则打开sidebar并更新refs
-        refsSidebarRefs.value = refs;
-        refsSidebarOpen.value = true;
-    }
-}
-
 async function handleSelectConversation(sessionIds: string[]) {
     if (!sessionIds[0]) return;
 

dashboard/src/components/chat/ConversationSidebar.vue

@@ -215,6 +215,7 @@ function handleDeleteConversation(session: Session) {
     display: flex;
     flex-direction: column;
     padding: 0;
+    border-right: 1px solid rgba(0, 0, 0, 0.04);
     height: 100%;
     max-height: 100%;
     position: relative;

dashboard/src/components/chat/MessageList.vue

@@ -116,8 +116,6 @@
 
                                     <!-- Text (Markdown) -->
                                     <MarkdownRender v-else-if="part.type === 'plain' && part.text && part.text.trim()"
-                                        custom-id="message-list"
-                                        :custom-html-tags="['ref']"
                                         :content="part.text" :typewriter="false" class="markdown-content"
                                         :is-dark="isDark" :monacoOptions="{ theme: isDark ? 'vs-dark' : 'vs-light' }" />
 
@@ -217,9 +215,6 @@
                                 @click="copyBotMessage(msg.content.message, index)" :title="t('core.common.copy')" />
                             <v-btn icon="mdi-reply-outline" size="x-small" variant="text" class="reply-message-btn"
                                 @click="$emit('replyMessage', msg, index)" :title="tm('actions.reply')" />
-                            
-                            <!-- Refs Visualization -->
-                            <ActionRef :refs="msg.content.refs" @open-refs="openRefsSidebar" />
                         </div>
                     </div>
                 </div>
@@ -250,7 +245,7 @@
 
 <script>
 import { useI18n, useModuleI18n } from '@/i18n/composables';
-import { MarkdownRender, enableKatex, enableMermaid, setCustomComponents } from 'markstream-vue'
+import { MarkdownRender, enableKatex, enableMermaid } from 'markstream-vue'
 import 'markstream-vue/index.css'
 import 'katex/dist/katex.min.css'
 import 'highlight.js/styles/github.css';
@@ -258,24 +253,17 @@ import axios from 'axios';
 import ReasoningBlock from './message_list_comps/ReasoningBlock.vue';
 import IPythonToolBlock from './message_list_comps/IPythonToolBlock.vue';
 import ToolCallCard from './message_list_comps/ToolCallCard.vue';
-import RefNode from './message_list_comps/RefNode.vue';
-import ActionRef from './message_list_comps/ActionRef.vue';
 
 enableKatex();
 enableMermaid();
 
-// 注册自定义 ref 组件
-setCustomComponents('message-list', { ref: RefNode });
-
 export default {
     name: 'MessageList',
     components: {
         MarkdownRender,
         ReasoningBlock,
         IPythonToolBlock,
-        ToolCallCard,
+        ToolCallCard
-        RefNode,
-        ActionRef
     },
     props: {
         messages: {
@@ -295,7 +283,7 @@ export default {
             default: false
         }
     },
-    emits: ['openImagePreview', 'replyMessage', 'replyWithText', 'openRefs'],
+    emits: ['openImagePreview', 'replyMessage', 'replyWithText'],
     setup() {
         const { t } = useI18n();
         const { tm } = useModuleI18n('features/chat');
@@ -305,12 +293,6 @@ export default {
             tm
         };
     },
-    provide() {
-        return {
-            isDark: this.isDark,
-            webSearchResults: () => this.webSearchResults
-        };
-    },
     data() {
         return {
             copiedMessages: new Set(),
@@ -333,9 +315,7 @@ export default {
             imagePreview: {
                 show: false,
                 url: ''
-            },
+            }
-            // Web search results mapping: { 'uuid.idx': { url, title, snippet } }
-            webSearchResults: {}
         };
     },
     async mounted() {
@@ -344,7 +324,6 @@ export default {
         this.addScrollListener();
         this.scrollToBottom();
         this.startElapsedTimeTimer();
-        this.extractWebSearchResults();
     },
     updated() {
         this.initCodeCopyButtons();
@@ -352,56 +331,8 @@ export default {
         if (this.isUserNearBottom) {
             this.scrollToBottom();
         }
-        this.extractWebSearchResults();
     },
     methods: {
-        // 从消息中提取 web_search_tavily 的搜索结果
-        extractWebSearchResults() {
-            const results = {};
-            
-            this.messages.forEach(msg => {
-                if (msg.content.type !== 'bot' || !Array.isArray(msg.content.message)) {
-                    return;
-                }
-                
-                msg.content.message.forEach(part => {
-                    if (part.type !== 'tool_call' || !Array.isArray(part.tool_calls)) {
-                        return;
-                    }
-                    
-                    part.tool_calls.forEach(toolCall => {
-                        // 检查是否是 web_search_tavily 工具调用
-                        if (toolCall.name !== 'web_search_tavily' || !toolCall.result) {
-                            return;
-                        }
-                        
-                        try {
-                            // 解析工具调用结果
-                            const resultData = typeof toolCall.result === 'string' 
-                                ? JSON.parse(toolCall.result) 
-                                : toolCall.result;
-                            
-                            if (resultData.results && Array.isArray(resultData.results)) {
-                                resultData.results.forEach(item => {
-                                    if (item.index) {
-                                        results[item.index] = {
-                                            url: item.url,
-                                            title: item.title,
-                                            snippet: item.snippet
-                                        };
-                                    }
-                                });
-                            }
-                        } catch (e) {
-                            console.error('Failed to parse web search result:', e);
-                        }
-                    });
-                });
-            });
-            
-            this.webSearchResults = results;
-        },
-        
         // 处理文本选择
         handleTextSelection() {
             const selection = window.getSelection();
@@ -946,11 +877,6 @@ export default {
         // Check if tool is iPython executor
         isIPythonTool(toolCall) {
             return toolCall.name === 'astrbot_execute_ipython';
-        },
-
-        // Open refs sidebar
-        openRefsSidebar(refs) {
-            this.$emit('openRefs', refs);
         }
     }
 }

dashboard/src/components/chat/message_list_comps/ActionRef.vue

@@ -1,109 +0,0 @@
-<template>
-    <div v-if="refs && refs.used && refs.used.length > 0" class="refs-container" @click="handleClick">
-        <div class="refs-avatars">
-            <div v-for="(ref, refIdx) in refs.used.slice(0, 3)" :key="refIdx" class="ref-avatar"
-                :style="{ zIndex: 3 - refIdx }">
-                <img v-if="ref.favicon" :src="ref.favicon" class="ref-favicon"
-                    @error="(e) => e.target.style.display = 'none'" />
-                <span v-else class="ref-initial">{{ getRefInitial(ref.title) }}</span>
-            </div>
-            <span v-if="refs.used.length > 3" class="refs-more">
-                +{{ refs.used.length - 3 }}
-            </span>
-            <span class="ml-2" style="color: gray;">
-                {{ tm('refs.sources') }}
-            </span>
-        </div>
-    </div>
-</template>
-
-<script>
-import { useModuleI18n } from '@/i18n/composables';
-
-export default {
-    name: 'ActionRef',
-    props: {
-        refs: {
-            type: Object,
-            default: null
-        }
-    },
-    emits: ['open-refs'],
-    setup() {
-        const { tm } = useModuleI18n('features/chat');
-        return { tm };
-    },
-    methods: {
-        // Get first character of ref title for fallback display
-        getRefInitial(title) {
-            if (!title) return '?';
-            return title.charAt(0).toUpperCase();
-        },
-
-        // Handle click to open refs sidebar
-        handleClick() {
-            this.$emit('open-refs', this.refs);
-        }
-    }
-}
-</script>
-
-<style scoped>
-.refs-container {
-    display: flex;
-    align-items: center;
-    margin-left: 8px;
-    padding: 4px 8px;
-    border-radius: 12px;
-    cursor: pointer;
-    transition: background-color;
-}
-
-.refs-container:hover {
-    background-color: rgba(103, 58, 183, 0.08);
-}
-
-.refs-avatars {
-    display: flex;
-    align-items: center;
-    position: relative;
-}
-
-.ref-avatar {
-    width: 20px;
-    height: 20px;
-    border-radius: 50%;
-    opacity: 0.9;
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    overflow: hidden;
-    position: relative;
-}
-
-.ref-avatar:not(:first-child) {
-    margin-left: -8px;
-}
-
-.ref-favicon {
-    width: 100%;
-    height: 100%;
-    object-fit: cover;
-}
-
-.ref-initial {
-    font-size: 10px;
-    font-weight: 600;
-    color: white;
-    user-select: none;
-}
-
-.refs-more {
-    margin-left: 6px;
-    font-size: 11px;
-    color: var(--v-theme-secondaryText);
-    opacity: 0.7;
-    font-weight: 500;
-}
-</style>

dashboard/src/components/chat/message_list_comps/RefNode.vue

@@ -1,67 +0,0 @@
-<template>
-    <v-chip v-if="domain" class="ref-chip" size="x-small" variant="flat"
-        :style="{ backgroundColor: isDark ? '#303030' : '#f4f4f4', color: isDark ? '#999' : '#666' }" :href="url"
-        target="_blank" clickable>
-        <v-icon start size="x-small" color>mdi-link-variant</v-icon>
-        <span>{{ domain }}</span>
-
-    </v-chip>
-    <span v-else class="ref-fallback" :style="{ color: isDark ? '#999' : '#666' }">{{ 'site' }}</span>
-</template>
-
-<script setup>
-import { computed, inject } from 'vue'
-
-const props = defineProps({
-    node: {
-        type: Object,
-        required: true
-    }
-})
-
-console.log('RefNode node:', props.node);
-
-// 从父组件注入的暗黑模式状态和搜索结果
-const isDark = inject('isDark', false)
-const webSearchResults = inject('webSearchResults', () => ({}))
-
-// 从 node.content 中提取 ref index (格式: uuid.idx)
-const refIndex = computed(() => props.node?.content?.trim() || '')
-
-// 根据 refIndex 查找对应的 URL
-const resultData = computed(() => {
-    if (!refIndex.value) return null
-    const results = typeof webSearchResults === 'function' ? webSearchResults() : webSearchResults
-    return results?.[refIndex.value] || null
-})
-
-const url = computed(() => resultData.value?.url || '')
-
-const domain = computed(() => {
-    if (!url.value) return ''
-    try {
-        const urlObj = new URL(url.value)
-        return urlObj.hostname.replace(/^www\./, '')
-    } catch (e) {
-        return ''
-    }
-})
-</script>
-
-<style scoped>
-.ref-chip {
-    margin: 0 2px;
-    cursor: pointer;
-    text-decoration: none;
-    transition: opacity;
-    margin-left: 4px;
-}
-
-.ref-chip:hover {
-    opacity: 0.8;
-}
-
-.ref-fallback {
-    font-size: 0.9em;
-}
-</style>

dashboard/src/components/chat/message_list_comps/RefsSidebar.vue

@@ -1,225 +0,0 @@
-<template>
-    <transition name="slide-left">
-        <div v-if="isOpen" class="refs-sidebar">
-            <div class="sidebar-header">
-                <h3 class="sidebar-title">{{ tm('refs.title') }}</h3>
-                <v-btn icon="mdi-close" size="small" variant="text" @click="close"></v-btn>
-            </div>
-
-            <div class="refs-list">
-                <div v-for="(ref, index) in refs?.used || []" :key="index" class="ref-item" @click="openLink(ref.url)">
-                    <div class="ref-item-icon">
-                        <img v-if="ref.favicon" :src="ref.favicon" class="ref-item-favicon"
-                            @error="(e) => e.target.style.display = 'none'" />
-                        <div v-else class="ref-item-initial">{{ getRefInitial(ref.title) }}</div>
-                    </div>
-                    <div class="ref-item-content">
-                        <div class="ref-item-title">{{ ref.title }}</div>
-                        <div class="ref-item-url">{{ formatUrl(ref.url) }}</div>
-                        <div v-if="ref.snippet" class="ref-item-snippet">{{ ref.snippet }}</div>
-                    </div>
-                    <v-icon size="small" class="ref-item-arrow">mdi-open-in-new</v-icon>
-                </div>
-            </div>
-        </div>
-    </transition>
-</template>
-
-<script>
-import { useModuleI18n } from '@/i18n/composables';
-
-export default {
-    name: 'RefsSidebar',
-    props: {
-        modelValue: {
-            type: Boolean,
-            default: false
-        },
-        refs: {
-            type: Object,
-            default: null
-        }
-    },
-    emits: ['update:modelValue'],
-    setup() {
-        const { tm } = useModuleI18n('features/chat');
-        return { tm };
-    },
-    computed: {
-        isOpen: {
-            get() {
-                return this.modelValue;
-            },
-            set(value) {
-                this.$emit('update:modelValue', value);
-            }
-        }
-    },
-    methods: {
-        close() {
-            this.isOpen = false;
-        },
-
-        getRefInitial(title) {
-            if (!title) return '?';
-            return title.charAt(0).toUpperCase();
-        },
-
-        formatUrl(url) {
-            if (!url) return '';
-            try {
-                const urlObj = new URL(url);
-                return urlObj.hostname;
-            } catch {
-                return url;
-            }
-        },
-
-        openLink(url) {
-            if (url) {
-                window.open(url, '_blank');
-            }
-        }
-    }
-}
-</script>
-
-<style scoped>
-.refs-sidebar {
-    width: 360px;
-    height: 100%;
-    background-color: var(--v-theme-surface);
-    border-left: 1px solid var(--v-theme-border);
-    display: flex;
-    flex-direction: column;
-    flex-shrink: 0;
-}
-
-.slide-left-enter-active,
-.slide-left-leave-active {
-    transition: all 0.3s ease;
-}
-
-.slide-left-enter-from {
-    transform: translateX(100%);
-    opacity: 0;
-}
-
-.slide-left-leave-to {
-    transform: translateX(100%);
-    opacity: 0;
-}
-
-.sidebar-header {
-    display: flex;
-    justify-content: space-between;
-    align-items: center;
-    padding: 16px 20px;
-    flex-shrink: 0;
-}
-
-.sidebar-title {
-    font-size: 18px;
-    font-weight: 600;
-    color: var(--v-theme-primaryText);
-}
-
-.refs-list {
-    padding: 12px;
-    padding-top: 0;
-    overflow-y: auto;
-    flex: 1;
-}
-
-.ref-item {
-    display: flex;
-    align-items: flex-start;
-    gap: 12px;
-    padding: 12px;
-    margin-bottom: 8px;
-    border-radius: 8px;
-    border: 1px solid var(--v-theme-border);
-    cursor: pointer;
-    transition: all 0.2s ease;
-}
-
-.ref-item:hover {
-    background-color: rgba(103, 58, 183, 0.05);
-    border-color: rgba(103, 58, 183, 0.3);
-}
-
-.ref-item-icon {
-    flex-shrink: 0;
-    width: 32px;
-    height: 32px;
-    border-radius: 50%;
-    overflow: hidden;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-}
-
-.ref-item-favicon {
-    width: 100%;
-    height: 100%;
-    object-fit: cover;
-}
-
-.ref-item-initial {
-    font-size: 14px;
-    font-weight: 600;
-    color: white;
-}
-
-.ref-item-content {
-    flex: 1;
-    min-width: 0;
-}
-
-.ref-item-title {
-    font-size: 14px;
-    font-weight: 500;
-    color: var(--v-theme-primaryText);
-    margin-bottom: 4px;
-    overflow: hidden;
-    text-overflow: ellipsis;
-    display: -webkit-box;
-    -webkit-line-clamp: 2;
-    -webkit-box-orient: vertical;
-}
-
-.ref-item-url {
-    font-size: 12px;
-    color: var(--v-theme-secondaryText);
-    opacity: 0.7;
-    margin-bottom: 6px;
-    overflow: hidden;
-    text-overflow: ellipsis;
-    white-space: nowrap;
-}
-
-.ref-item-snippet {
-    font-size: 12px;
-    color: var(--v-theme-secondaryText);
-    opacity: 0.8;
-    line-height: 1.5;
-    overflow: hidden;
-    text-overflow: ellipsis;
-    display: -webkit-box;
-    -webkit-line-clamp: 3;
-    -webkit-box-orient: vertical;
-}
-
-.ref-item-arrow {
-    flex-shrink: 0;
-    margin-top: 4px;
-    color: var(--v-theme-secondaryText);
-    opacity: 0.5;
-    transition: opacity 0.2s ease;
-}
-
-.ref-item:hover .ref-item-arrow {
-    opacity: 1;
-}
-</style>

dashboard/src/components/chat/message_list_comps/ToolCallCard.vue

@@ -150,7 +150,7 @@ onUnmounted(() => {
     padding: 10px 12px;
     cursor: pointer;
     user-select: none;
-    transition: background-color;
+    transition: background-color 0.2s ease;
     gap: 8px;
 }
 

dashboard/src/i18n/locales/en-US/features/chat.json

@@ -105,10 +105,6 @@
     "duration": "Duration",
     "ttft": "Time to First Token"
   },
-  "refs": {
-    "title": "References",
-    "sources": "Sources"
-  },
   "connection": {
     "title": "Connection Status Notice",
     "message": "The system detected that the chat connection needs to be re-established.",

dashboard/src/i18n/locales/zh-CN/features/chat.json

@@ -107,10 +107,6 @@
     "duration": "耗时",
     "ttft": "首字时间"
   },
-  "refs": {
-    "title": "引用",
-    "sources": "来源"
-  },
   "connection": {
     "title": "连接状态提醒",
     "message": "系统检测到聊天连接需要重新建立。",

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "4.12.2"
+version = "4.12.1"
 description = "Easy-to-use multi-platform LLM chatbot and development framework"
 readme = "README.md"
 requires-python = ">=3.10"