Feat: 新增安思派AI搜索支持 (#457) (#461)

* :sparkling: 安思派搜索框架定义

* feat: 安思派搜索接入后端实现

* feat: MediaEngine中接入AnspireSearchAgent

* feat: 修改前端以适配新搜索agent

Co-authored-by: Zhang Yuxiang <51037789+NTFago@users.noreply.github.com>

@@ -66,6 +66,13 @@ KEYWORD_OPTIMIZER_MODEL_NAME=
 # Tavily API密钥，用于Tavily网络搜索，申请地址：https://www.tavily.com/
 TAVILY_API_KEY=
 
+# 网络搜索工具类型，支持BochaAPI或AnspireAPI两种，默认为AnspireAPI
+SEARCH_TOOL_TYPE=AnspireAPI
+
 # Bocha AI Search BASEURL，用于Bocha多模态搜索，这里密钥名称虽然是Web Search，但其实是要AI Search的，申请地址：https://open.bochaai.com/
 BOCHA_BASE_URL=https://api.bocha.cn/v1/ai-search
-BOCHA_WEB_SEARCH_API_KEY=
\ No newline at end of file
+BOCHA_WEB_SEARCH_API_KEY=
+
+# Anspire AI Search API（申请地址：https://open.anspire.cn/）
+ANSPIRE_BASE_URL=https://plugin.anspire.cn/api/ntsearch/search
+ANSPIRE_API_KEY=
\ No newline at end of file

@@ -3,10 +3,10 @@ Deep Search Agent
 一个无框架的深度搜索AI代理实现
 """
 
-from .agent import DeepSearchAgent, create_agent
+from .agent import DeepSearchAgent, AnspireSearchAgent, create_agent
 from .utils.config import Settings
 
 __version__ = "1.0.0"
 __author__ = "Deep Search Agent Team"
 
-__all__ = ["DeepSearchAgent", "create_agent", "Settings"]
+__all__ = ["DeepSearchAgent", "AnspireSearchAgent", "create_agent", "Settings"]

@@ -19,7 +19,7 @@ from .nodes import (
     ReportFormattingNode
 )
 from .state import State
-from .tools import BochaMultimodalSearch, BochaResponse
+from .tools import BochaMultimodalSearch, BochaResponse, AnspireAISearch, AnspireResponse
 from .utils import settings, Settings, format_search_results_for_prompt
 
 
@@ -50,7 +50,7 @@ class DeepSearchAgent:
         # 确保输出目录存在
         os.makedirs(self.config.OUTPUT_DIR, exist_ok=True)
         
-        logger.info(f"Meida Agent已初始化")
+        logger.info(f"Media Agent已初始化")
         logger.info(f"使用LLM: {self.llm_client.get_model_info()}")
         logger.info(f"搜索工具集: BochaMultimodalSearch (支持5种多模态搜索工具)")
     
@@ -436,6 +436,60 @@ class DeepSearchAgent:
         self.state.save_to_file(filepath)
         logger.info(f"状态已保存到 {filepath}")
 
+class AnspireSearchAgent(DeepSearchAgent):
+    """调用Anspire搜索引擎的Deep Search Agent"""
+    
+    def __init__(self, config: Settings | None = None):
+        self.config = config or settings
+        
+        # 初始化LLM客户端
+        self.llm_client = self._initialize_llm()
+        
+        # 初始化搜索工具集
+        self.search_agency = AnspireAISearch(api_key=self.config.ANSPIRE_API_KEY)
+
+        # 初始化节点
+        self._initialize_nodes()
+        
+        # 状态
+        self.state = State()
+        
+        # 确保输出目录存在
+        os.makedirs(self.config.OUTPUT_DIR, exist_ok=True)
+        
+        logger.info(f"Media Agent已初始化")
+        logger.info(f"使用LLM: {self.llm_client.get_model_info()}")
+        logger.info(f"搜索工具集: AnspireSearch")
+
+    def execute_search_tool(self, tool_name: str, query: str, **kwargs) -> AnspireResponse:
+        # TODO: 使用Anspire搜索工具执行搜索
+        """
+        执行指定的搜索工具
+        
+        Args:
+            tool_name: 工具名称，可选值：
+                - "comprehensive_search": 全面综合搜索（默认）
+                - "search_last_24_hours": 24小时内最新信息
+                - "search_last_week": 本周信息
+            query: 搜索查询
+            **kwargs: 额外参数（如max_results）
+            
+        Returns:
+            AnspireResponse对象
+        """
+        logger.info(f"  → 执行搜索工具: {tool_name}")
+        
+        if tool_name == "comprehensive_search":
+            max_results = kwargs.get("max_results", 10)
+            return self.search_agency.comprehensive_search(query, max_results)
+        elif tool_name == "search_last_24_hours":
+            return self.search_agency.search_last_24_hours(query)
+        elif tool_name == "search_last_week":
+            return self.search_agency.search_last_week(query)
+        else:
+            logger.info(f"  ⚠️  未知的搜索工具: {tool_name}，使用默认综合搜索")
+            return self.search_agency.comprehensive_search(query)
+
 
 def create_agent(config_file: Optional[str] = None) -> DeepSearchAgent:
     """
@@ -448,4 +502,6 @@ def create_agent(config_file: Optional[str] = None) -> DeepSearchAgent:
         DeepSearchAgent实例
     """
     settings = Settings()
+    if settings.SEARCH_TOOL_TYPE == "AnspireAPI":
+        return AnspireSearchAgent(settings)
     return DeepSearchAgent(settings)

@@ -5,18 +5,22 @@
 
 from .search import (
     BochaMultimodalSearch,
+    AnspireAISearch,
     WebpageResult,
     ImageResult,
     ModalCardResult,
     BochaResponse,
+    AnspireResponse,
     print_response_summary
 )
 
 __all__ = [
     "BochaMultimodalSearch",
+    "AnspireAISearch",
     "WebpageResult", 
     "ImageResult",
     "ModalCardResult",
     "BochaResponse",
+    "AnspireResponse",
     "print_response_summary"
 ]

@@ -23,6 +23,7 @@
 import os
 import json
 import sys
+import datetime
 from typing import List, Dict, Any, Optional, Literal
 
 from loguru import logger
@@ -85,6 +86,14 @@ class BochaResponse:
     images: List[ImageResult] = field(default_factory=list)
     modal_cards: List[ModalCardResult] = field(default_factory=list)
 
+@dataclass
+class AnspireResponse:
+    """封装 Anspire API 的完整返回结果，以便在工具间传递"""
+    query: str
+    conversation_id: Optional[str] = None
+    score: Optional[float] = None
+    webpages: List[WebpageResult] = field(default_factory=list)
+
 
 # --- 2. 核心客户端与专用工具集 ---
 
@@ -94,7 +103,7 @@ class BochaMultimodalSearch:
     每个公共方法都设计为供 AI Agent 独立调用的工具。
     """
 
-    BOCHA_BASE_URL = settings.BOCHA_BASE_URL or "https://api.bochaai.com/v1/ai-search"
+    BOCHA_BASE_URL = settings.BOCHA_BASE_URL or "https://api.bocha.com/v1/ai-search"
 
     def __init__(self, api_key: Optional[str] = None):
         """
@@ -181,6 +190,7 @@ class BochaMultimodalSearch:
         payload.update(kwargs)
 
         try:
+
             response = requests.post(self.BOCHA_BASE_URL, headers=self._headers, json=payload, timeout=30)
             response.raise_for_status()  # 如果HTTP状态码是4xx或5xx，则抛出异常
 
@@ -255,22 +265,138 @@ class BochaMultimodalSearch:
         logger.info(f"--- TOOL: 搜索本周信息 (query: {query}) ---")
         return self._search_internal(query=query, freshness='oneWeek', answer=True)
 
+class AnspireAISearch:
+    """
+    Anspire AI Search 客户端
+    """
+    ANSPIRE_BASE_URL = settings.ANSPIRE_BASE_URL or "https://plugin.anspire.cn/api/ntsearch/search"
 
-# --- 3. 测试与使用示例 ---
+    def __init__(self, api_key: Optional[str] = None):
+        """
+        初始化客户端。
+        Args:
+            api_key: Anspire API密钥，若不提供则从环境变量 ANSPIRE_API_KEY 读取。
+        """
+        if api_key is None:
+            api_key = settings.ANSPIRE_API_KEY
+            if not api_key:
+                raise ValueError("Anspire API Key未找到！请设置 ANSPIRE_API_KEY 环境变量或在初始化时提供")
+
+        self._headers = {
+            'Authorization': f'Bearer {api_key}',
+            'Content-Type': 'application/json',
+            'Connection': 'keep-alive',
+            'Accept': '*/*'
+        }
+
+    def _parse_search_response(self, response_dict: Dict[str, Any], query: str) -> AnspireResponse:
+        final_response = AnspireResponse(query=query)
+        final_response.conversation_id = response_dict.get('Uuid')
+
+        messages = response_dict.get("results", [])
+        for msg in messages:
+            final_response.score = msg.get("score")
+            final_response.webpages.append(WebpageResult(
+                name = msg.get("title", ""),
+                url = msg.get("url", ""),
+                snippet = msg.get("content", ""),
+                date_last_crawled = msg.get("date", None)
+            ))
+
+        return final_response
+    
+    @with_graceful_retry(SEARCH_API_RETRY_CONFIG, default_return=AnspireResponse(query="搜索失败"))
+    def _search_internal(self, **kwargs) -> AnspireResponse:
+        """内部通用的搜索执行器，所有工具最终都调用此方法"""
+        query = kwargs.get("query", "Unknown Query")
+        payload = {
+            "query": query,
+            "top_k": kwargs.get("top_k", 10),
+            "Insite": kwargs.get("Insite", ""),
+            "FromTime": kwargs.get("FromTime", ""),
+            "ToTime": kwargs.get("ToTime", "")
+        }
+        
+        try:
+            response = requests.get(self.ANSPIRE_BASE_URL, headers=self._headers, params=payload, timeout=30)
+            response.raise_for_status()  # 如果HTTP状态码是4xx或5xx，则抛出异常
+
+            response_dict = response.json()
+            return self._parse_search_response(response_dict, query)
+        except requests.exceptions.RequestException as e:
+            logger.exception(f"搜索时发生网络错误: {str(e)}")
+            raise e  # 让重试机制捕获并处理
+        except Exception as e:
+            logger.exception(f"处理响应时发生未知错误: {str(e)}")
+            raise e  # 让重试机制捕获并处理
+    
+    def comprehensive_search(self, query: str, max_results: int = 10) -> AnspireResponse:
+        """
+        【工具】综合搜索: 获取关于某个主题的全面信息，包括网页。
+        适用于需要多种信息来源的场景。
+        """
+        logger.info(f"--- TOOL: 综合搜索 (query: {query}) ---")
+        return self._search_internal(
+            query=query,
+            top_k=max_results
+        )
 
-def print_response_summary(response: BochaResponse):
+    def search_last_24_hours(self, query: str, max_results: int = 10) -> AnspireResponse:
+        """
+        【工具】搜索24小时内信息: 获取关于某个主题的最新动态。
+        此工具专门查找过去24小时内发布的内容。适用于追踪突发事件或最新进展。
+        """
+        logger.info(f"--- TOOL: 搜索24小时内信息 (query: {query}) ---")
+        to_time = datetime.datetime.now()
+        from_time = to_time - datetime.timedelta(days=1)
+        return self._search_internal(query=query,
+                                     top_k=max_results,
+                                     FromTime=from_time.strftime("%Y-%m-%d %H:%M:%S"), 
+                                     ToTime=to_time.strftime("%Y-%m-%d %H:%M:%S"))
+
+    def search_last_week(self, query: str, max_results: int = 10) -> AnspireResponse:
+        """
+        【工具】搜索本周信息: 获取关于某个主题过去一周内的主要报道。
+        适用于进行周度舆情总结或回顾。
+        """
+        logger.info(f"--- TOOL: 搜索本周信息 (query: {query}) ---")
+        to_time = datetime.datetime.now()
+        from_time = to_time - datetime.timedelta(weeks=1)
+        return self._search_internal(query=query,
+                                     top_k=max_results,
+                                     FromTime=from_time.strftime("%Y-%m-%d %H:%M:%S"),
+                                     ToTime=to_time.strftime("%Y-%m-%d %H:%M:%S"))
+
+
+# --- 3. 测试与使用示例 ---
+def load_agent_from_config():
+    """根据配置文件选择并加载搜索Agent"""
+    if settings.BOCHA_WEB_SEARCH_API_KEY:
+        logger.info("加载 BochaMultimodalSearch Agent")
+        return BochaMultimodalSearch()
+    elif settings.ANSPIRE_API_KEY:
+        logger.info("加载 AnspireAISearch Agent")
+        return AnspireAISearch()
+    else:
+        raise ValueError("未配置有效的搜索Agent")
+
+def print_response_summary(response):
     """简化的打印函数，用于展示测试结果"""
     if not response or not response.query:
         logger.error("未能获取有效响应。")
         return
 
     logger.info(f"\n查询: '{response.query}' | 会话ID: {response.conversation_id}")
-    if response.answer:
+    if hasattr(response, 'answer') and response.answer:
         logger.info(f"AI摘要: {response.answer[:150]}...")
 
-    logger.info(f"找到 {len(response.webpages)} 个网页, {len(response.images)} 张图片, {len(response.modal_cards)} 个模态卡。")
+    logger.info(f"找到 {len(response.webpages)} 个网页")
+    if hasattr(response, 'images'):
+        logger.info(f"找到 {len(response.images)} 张图片")
+    if hasattr(response, 'modal_cards'):
+        logger.info(f"找到 {len(response.modal_cards)} 个模态卡")
 
-    if response.modal_cards:
+    if hasattr(response, 'modal_cards') and response.modal_cards:
         first_card = response.modal_cards[0]
         logger.info(f"第一个模态卡类型: {first_card.card_type}")
 
@@ -278,7 +404,7 @@ def print_response_summary(response: BochaResponse):
         first_result = response.webpages[0]
         logger.info(f"第一条网页结果: {first_result.name}")
 
-    if response.follow_ups:
+    if hasattr(response, 'follow_ups') and response.follow_ups:
         logger.info(f"建议追问: {response.follow_ups}")
 
     logger.info("-" * 60)
@@ -289,31 +415,34 @@ if __name__ == "__main__":
 
     try:
         # 初始化多模态搜索客户端，它内部包含了所有工具
-        search_client = BochaMultimodalSearch()
+        search_client = load_agent_from_config()
 
         # 场景1: Agent进行一次常规的、需要AI总结的综合搜索
         response1 = search_client.comprehensive_search(query="人工智能对未来教育的影响")
         print_response_summary(response1)
 
         # 场景2: Agent需要查询特定结构化信息 - 天气
-        response2 = search_client.search_for_structured_data(query="上海明天天气怎么样")
-        print_response_summary(response2)
-        # 深度解析第一个模态卡
-        if response2.modal_cards and response2.modal_cards[0].card_type == 'weather_china':
-             logger.info("天气模态卡详情:", json.dumps(response2.modal_cards[0].content, indent=2, ensure_ascii=False))
+        if isinstance(search_client, BochaMultimodalSearch):
+            response2 = search_client.search_for_structured_data(query="上海明天天气怎么样")
+            print_response_summary(response2)
+            # 深度解析第一个模态卡
+            if response2.modal_cards and response2.modal_cards[0].card_type == 'weather_china':
+                logger.info("天气模态卡详情:", json.dumps(response2.modal_cards[0].content, indent=2, ensure_ascii=False))
 
 
         # 场景3: Agent需要查询特定结构化信息 - 股票
-        response3 = search_client.search_for_structured_data(query="东方财富股票")
-        print_response_summary(response3)
+        if isinstance(search_client, BochaMultimodalSearch):
+            response3 = search_client.search_for_structured_data(query="东方财富股票")
+            print_response_summary(response3)
 
         # 场景4: Agent需要追踪某个事件的最新进展
         response4 = search_client.search_last_24_hours(query="C929大飞机最新消息")
         print_response_summary(response4)
 
         # 场景5: Agent只需要快速获取网页信息，不需要AI总结
-        response5 = search_client.web_search_only(query="Python dataclasses用法")
-        print_response_summary(response5)
+        if isinstance(search_client, BochaMultimodalSearch):
+            response5 = search_client.web_search_only(query="Python dataclasses用法")
+            print_response_summary(response5)
 
         # 场景6: Agent需要回顾一周内关于某项技术的新闻
         response6 = search_client.search_last_week(query="量子计算商业化")

@@ -5,7 +5,7 @@ Configuration management module for the Media Engine (pydantic_settings style).
 from pathlib import Path
 from pydantic_settings import BaseSettings
 from pydantic import Field
-from typing import Optional
+from typing import Optional, Literal
 
 
 # 计算 .env 优先级：优先当前工作目录，其次项目根目录
@@ -70,8 +70,13 @@ class Settings(BaseSettings):
 
     # ================== 网络工具配置 ====================
     TAVILY_API_KEY: str = Field(None, description="Tavily API（申请地址：https://www.tavily.com/）API密钥，用于Tavily网络搜索")
+    
+    SEARCH_TOOL_TYPE: Literal["AnspireAPI", "BochaAPI"] = Field("AnspireAPI", description="网络搜索工具类型，支持BochaAPI或AnspireAPI两种，默认为AnspireAPI")
     BOCHA_BASE_URL: Optional[str] = Field("https://api.bochaai.com/v1/ai-search", description="Bocha AI 搜索BaseUrl或博查网页搜索BaseUrl")
-    BOCHA_WEB_SEARCH_API_KEY: str = Field(None, description="Bocha API（申请地址：https://open.bochaai.com/）API密钥，用于Bocha搜索")
+    BOCHA_WEB_SEARCH_API_KEY: Optional[str] = Field(None, description="Bocha API（申请地址：https://open.bochaai.com/）API密钥，用于Bocha搜索")
+    # Anspire AI Search API（申请地址：https://open.anspire.cn/）
+    ANSPIRE_BASE_URL: Optional[str] = Field("https://plugin.anspire.cn/api/ntsearch/search", description="Anspire AI 搜索BaseUrl")
+    ANSPIRE_API_KEY: Optional[str] = Field(None, description="Anspire AI Search API（申请地址：https://open.anspire.cn/）API密钥，用于Anspire搜索")
 
     class Config:
         env_file = ENV_FILE

@@ -27,7 +27,7 @@ except locale.Error:
 # 添加src目录到Python路径
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
 
-from MediaEngine import DeepSearchAgent, Settings
+from MediaEngine import DeepSearchAgent, AnspireSearchAgent, Settings
 from config import settings
 from utils.github_issues import error_with_issue_link
 
@@ -101,25 +101,39 @@ def main():
             st.error("请在您的环境变量中设置MEDIA_ENGINE_API_KEY")
             logger.error("请在您的环境变量中设置MEDIA_ENGINE_API_KEY")
             return
-        if not settings.BOCHA_WEB_SEARCH_API_KEY:
-            st.error("请在您的环境变量中设置BOCHA_WEB_SEARCH_API_KEY")
-            logger.error("请在您的环境变量中设置BOCHA_WEB_SEARCH_API_KEY")
+        if (not settings.BOCHA_WEB_SEARCH_API_KEY) and (not settings.ANSPIRE_API_KEY):
+            st.error("请在您的环境变量中设置BOCHA_WEB_SEARCH_API_KEY或ANSPIRE_API_KEY")
+            logger.error("请在您的环境变量中设置BOCHA_WEB_SEARCH_API_KEY或ANSPIRE_API_KEY")
             return
 
         # 自动使用配置文件中的API密钥
         engine_key = settings.MEDIA_ENGINE_API_KEY
         bocha_key = settings.BOCHA_WEB_SEARCH_API_KEY
+        ansire_key = settings.ANSPIRE_API_KEY
 
         # 构建 Settings（pydantic_settings风格，优先大写环境变量）
-        config = Settings(
-            MEDIA_ENGINE_API_KEY=engine_key,
-            MEDIA_ENGINE_BASE_URL=settings.MEDIA_ENGINE_BASE_URL,
-            MEDIA_ENGINE_MODEL_NAME=model_name,
-            BOCHA_WEB_SEARCH_API_KEY=bocha_key,
-            MAX_REFLECTIONS=max_reflections,
-            SEARCH_CONTENT_MAX_LENGTH=max_content_length,
-            OUTPUT_DIR="media_engine_streamlit_reports",
-        )
+        if bocha_key:
+            logger.info("使用Bocha搜索API密钥")
+            config = Settings(
+                MEDIA_ENGINE_API_KEY=engine_key,
+                MEDIA_ENGINE_BASE_URL=settings.MEDIA_ENGINE_BASE_URL,
+                MEDIA_ENGINE_MODEL_NAME=model_name,
+                BOCHA_WEB_SEARCH_API_KEY=bocha_key,
+                MAX_REFLECTIONS=max_reflections,
+                SEARCH_CONTENT_MAX_LENGTH=max_content_length,
+                OUTPUT_DIR="media_engine_streamlit_reports",
+            )
+        elif ansire_key:
+            logger.info("使用Anspire搜索API密钥")
+            config = Settings(
+                MEDIA_ENGINE_API_KEY=engine_key,
+                MEDIA_ENGINE_BASE_URL=settings.MEDIA_ENGINE_BASE_URL,
+                MEDIA_ENGINE_MODEL_NAME=model_name,
+                ANSPIRE_API_KEY=ansire_key,
+                MAX_REFLECTIONS=max_reflections,
+                SEARCH_CONTENT_MAX_LENGTH=max_content_length,
+                OUTPUT_DIR="media_engine_streamlit_reports",
+            )
 
         # 执行研究
         execute_research(query, config)
@@ -134,7 +148,10 @@ def execute_research(query: str, config: Settings):
 
         # 初始化Agent
         status_text.text("正在初始化Agent...")
-        agent = DeepSearchAgent(config)
+        if config.SEARCH_TOOL_TYPE == "BochaAPI":
+            agent = DeepSearchAgent(config)
+        else:
+            agent = AnspireSearchAgent(config)
         st.session_state.agent = agent
 
         progress_bar.progress(10)

@@ -111,7 +111,9 @@ CONFIG_KEYS = [
     'KEYWORD_OPTIMIZER_BASE_URL',
     'KEYWORD_OPTIMIZER_MODEL_NAME',
     'TAVILY_API_KEY',
-    'BOCHA_WEB_SEARCH_API_KEY'
+    'SEARCH_TOOL_TYPE',
+    'BOCHA_WEB_SEARCH_API_KEY',
+    'ANSPIRE_API_KEY'
 ]
 
 

@@ -10,7 +10,7 @@
 from pathlib import Path
 from pydantic_settings import BaseSettings
 from pydantic import Field, ConfigDict
-from typing import Optional
+from typing import Optional, Literal
 from loguru import logger
 
 
@@ -79,10 +79,16 @@ class Settings(BaseSettings):
     # ================== 网络工具配置 ====================
     # Tavily API（申请地址：https://www.tavily.com/）
     TAVILY_API_KEY: Optional[str] = Field(None, description="Tavily API（申请地址：https://www.tavily.com/）API密钥，用于Tavily网络搜索")
-    
+
+    SEARCH_TOOL_TYPE: Literal["AnspireAPI", "BochaAPI"] = Field("AnspireAPI", description="网络搜索工具类型，支持BochaAPI或AnspireAPI两种，默认为AnspireAPI")
     # Bocha API（申请地址：https://open.bochaai.com/）
     BOCHA_BASE_URL: Optional[str] = Field("https://api.bocha.cn/v1/ai-search", description="Bocha AI 搜索BaseUrl或博查网页搜索BaseUrl")
     BOCHA_WEB_SEARCH_API_KEY: Optional[str] = Field(None, description="Bocha API（申请地址：https://open.bochaai.com/）API密钥，用于Bocha搜索")
+
+    # Anspire AI Search API（申请地址：https://open.anspire.cn/）
+    ANSPIRE_BASE_URL: Optional[str] = Field("https://plugin.anspire.cn/api/ntsearch/search", description="Anspire AI 搜索BaseUrl")
+    ANSPIRE_API_KEY: Optional[str] = Field(None, description="Anspire AI Search API（申请地址：https://open.anspire.cn/）API密钥，用于Anspire搜索")
+
     
     # ================== Insight Engine 搜索配置 ====================
     DEFAULT_SEARCH_HOT_CONTENT_LIMIT: int = Field(100, description="热榜内容默认最大数")

@@ -605,6 +605,15 @@
             display: flex;
             flex-direction: column;
             margin-bottom: 12px;
+            transition: all 0.3s ease;
+        }
+
+        .config-field.hidden {
+            display: none;
+            opacity: 0;
+            height: 0;
+            margin-bottom: 0;
+            overflow: hidden;
         }
 
         .config-field-label {
@@ -1821,8 +1830,15 @@
                 title: '外部检索工具',
                 subtitle: '联动搜索引擎、网站抓取等在线服务，两个都需配置',
                 fields: [
+                    {
+                        key: 'SEARCH_TOOL_TYPE',
+                        label: '选择检索工具',
+                        type: 'select',
+                        options: ['BochaAPI', 'AnspireAPI']
+                    },
                     { key: 'TAVILY_API_KEY', label: 'Tavily API Key', type: 'password' },
-                    { key: 'BOCHA_WEB_SEARCH_API_KEY', label: 'Bocha API Key', type: 'password' }
+                    { key: 'BOCHA_WEB_SEARCH_API_KEY', label: 'Bocha API Key', type: 'password', condition: { key: 'SEARCH_TOOL_TYPE', value: 'BochaAPI' } },
+                    { key: 'ANSPIRE_API_KEY', label: 'Anspire API Key', type: 'password', condition: { key: 'SEARCH_TOOL_TYPE', value: 'AnspireAPI' } }
                 ]
             }
         ];
@@ -2117,6 +2133,17 @@
                     const value = values[field.key] !== undefined ? values[field.key] : '';
                     const safeValue = escapeHtml(String(value || ''));
 
+                    // 检查条件是否满足
+                    let isVisible = true;
+                    let hiddenClass = '';
+                    if (field.condition) {
+                        const conditionKey = field.condition.key;
+                        const conditionValue = field.condition.value;
+                        const currentValue = values[conditionKey];
+                        isVisible = currentValue === conditionValue;
+                        hiddenClass = isVisible ? '' : 'hidden';
+                    }
+
                     let control;
 
                     if (field.type === 'select' && field.options) {
@@ -2180,7 +2207,7 @@
                     }
 
                     return `
-                        <label class="config-field">
+                        <label class="config-field ${hiddenClass}" data-condition-key="${field.condition ? field.condition.key : ''}" data-condition-value="${field.condition ? field.condition.value : ''}">
                             <span class="config-field-label">${field.label}</span>
                             ${control}
                         </label>
@@ -2201,6 +2228,9 @@
             container.innerHTML = sections;
             // 不再需要每次调用 attachConfigPasswordToggles
             // 事件委托已在页面初始化时设置
+            
+            // 为所有 select 下拉框绑定事件，监听值变化并动态显示/隐藏条件字段
+            attachConfigConditionalLogic();
         }
 
         function attachConfigPasswordToggles() {
@@ -2252,6 +2282,51 @@
             container.dataset.passwordToggleAttached = 'true';
         }
 
+        // 【新增】条件字段动态显示逻辑
+        function attachConfigConditionalLogic() {
+            const container = document.getElementById('configFormContainer');
+            if (!container) {
+                return;
+            }
+
+            // 防止重复绑定
+            if (container.dataset.conditionalLogicAttached === 'true') {
+                return;
+            }
+
+            // 监听所有 select 下拉框的变化
+            container.addEventListener('change', (event) => {
+                const select = event.target.closest('select.config-field-input');
+                if (!select) {
+                    return;
+                }
+
+                const triggerKey = select.dataset.configKey;
+                const triggerValue = select.value;
+
+                // 更新所有依赖于这个字段的条件字段的显示状态
+                const conditionalFields = container.querySelectorAll('.config-field[data-condition-key]');
+                conditionalFields.forEach(field => {
+                    const conditionKey = field.dataset.conditionKey;
+                    const conditionValue = field.dataset.conditionValue;
+
+                    // 检查这个条件字段是否依赖于当前改变的字段
+                    if (conditionKey === triggerKey) {
+                        if (triggerValue === conditionValue) {
+                            // 显示字段
+                            field.classList.remove('hidden');
+                        } else {
+                            // 隐藏字段
+                            field.classList.add('hidden');
+                        }
+                    }
+                });
+            });
+
+            // 标记已绑定，防止重复
+            container.dataset.conditionalLogicAttached = 'true';
+        }
+
         function collectConfigUpdates() {
             const inputs = document.querySelectorAll('#configFormContainer [data-config-key]');
             const updates = {};