refactor(agent): 移除不必要的要求检查，简化 BaseAgent 初始化逻辑；更新工具注册逻辑，添加获取可运行工具信息的功能；重构聊天 API，优化代码结构和可读性。

src/agents/registry.py

@@ -285,10 +285,9 @@ class BaseAgent:
     name = "base_agent"
     description = "base_agent"
     config_schema: Configuration = Configuration
-    requirements: list[str]
 
     def __init__(self, **kwargs):
-        self.check_requirements()
+        pass
 
     @property
     def module_name(self) -> str:
@@ -306,19 +305,11 @@ class BaseAgent:
             "name": self.name if hasattr(self, "name") else "Unknown",
             "description": self.description if hasattr(self, "description") else "Unknown",
             "config_schema": self.config_schema.to_dict(),
-            "requirements": self.requirements if hasattr(self, "requirements") else [],
             "all_tools": self.all_tools if hasattr(self, "all_tools") else [],
             "has_checkpointer": await self.check_checkpointer(),
-            "met_requirements": self.check_requirements(),
         }
 
-    def check_requirements(self):
-        if not hasattr(self, "requirements") or not self.requirements:
-            return True
-        for requirement in self.requirements:
-            if requirement not in os.environ:
-                raise ValueError(f"没有配置{requirement} 环境变量，请在 src/.env 文件中配置，并重新启动服务")
-        return True
+
 
     async def stream_values(self, messages: list[str], config_schema: RunnableConfig = None, **kwargs):
         graph = await self.get_graph()

src/agents/tools_factory.py

@@ -1,5 +1,7 @@
 import json
 import asyncio
+import inspect
+import types
 from collections.abc import Callable
 from typing import Annotated, Any
 
@@ -11,6 +13,10 @@ from src import config, graph_base, knowledge_base
 from src.utils import logger
 
 
+# 工具注册表 - 移到前面以避免NameError
+_TOOLS_REGISTRY = {}
+
+
 class KnowledgeRetrieverModel(BaseModel):
     query_text: str = Field(
         description=(
@@ -19,13 +25,13 @@ class KnowledgeRetrieverModel(BaseModel):
         )
     )
 
-def get_all_tools():
-    """获取所有工具"""
+def get_runnable_tools():
+    """获取所有可运行的工具（给大模型使用）"""
     tools = _TOOLS_REGISTRY.copy()
 
     # 获取所有知识库
     for db_Id, retrieve_info in knowledge_base.get_retrievers().items():
-        name = f"retrieve_{db_Id[:8]}" # Deepseek does not support non-alphanumeric characters in tool names
+        _id = f"retrieve_{db_Id[:8]}" # Deepseek does not support non-alphanumeric characters in tool names
         description = (
             f"使用 {retrieve_info['name']} 知识库进行检索。\n"
             f"下面是这个知识库的描述：\n{retrieve_info['description']}"
@@ -46,15 +52,48 @@ def get_all_tools():
                 return f"检索失败: {str(e)}"
 
         # 使用 StructuredTool.from_function 创建异步工具
-        tools[name] = StructuredTool.from_function(
+        tools[_id] = StructuredTool.from_function(
             coroutine=async_retriever_wrapper,  # 指定为协程
-            name=name,
+            name=_id,
             description=description,
-            args_schema=KnowledgeRetrieverModel
+            args_schema=KnowledgeRetrieverModel,
+            metadata=retrieve_info
         )
 
     return tools
 
+def get_all_tools_info():
+    """获取所有工具的信息（用于前端展示）"""
+    tools_info = {}
+
+    tools = get_runnable_tools()
+
+    # 获取注册的工具信息
+    for _id, tool_obj in tools.items():
+
+        metadata = getattr(tool_obj, 'metadata', {}) or {}
+        info = {
+            "id": _id,
+            "name": metadata.get('name', _id),
+            "description": metadata.get('description') or getattr(tool_obj, 'description', ''),
+            'metadata': metadata,
+            "args": []
+        }
+
+        # 获取工具参数信息
+        if hasattr(tool_obj, 'args_schema') and tool_obj.args_schema:
+            schema = tool_obj.args_schema.schema()
+            if 'properties' in schema:
+                for arg_name, arg_info in schema['properties'].items():
+                    info["args"].append({
+                        "name": arg_name,
+                        "type": arg_info.get('type', ''),
+                        "description": arg_info.get('description', '')
+                    })
+        tools_info[info['id']] = info
+
+    return tools_info
+
 class BaseToolOutput:
     """
     LLM 要求 Tool 的输出为 str，但 Tool 用在别处时希望它正常返回结构化数据。
@@ -103,13 +142,11 @@ def query_knowledge_graph(query: Annotated[str, "The keyword to query knowledge
     """Use this to query knowledge graph."""
     return graph_base.query_node(query, hops=2)
 
-
-
-
-_TOOLS_REGISTRY = {
+# 更新工具注册表
+_TOOLS_REGISTRY.update({
     "Calculator": calculator,
     "QueryKnowledgeGraph": query_knowledge_graph,
-}
+})
 
 if config.enable_web_search:
     _TOOLS_REGISTRY["WebSearchWithTavily"] = TavilySearch(max_results=10)

web/src/apis/auth_api.js

@@ -9,39 +9,6 @@ import { useUserStore } from '@/stores/user'
 
 // 聊天相关API
 export const chatApi = {
-  /**
-   * 发送聊天消息
-   * @param {Object} params - 聊天参数
-   * @returns {Promise} - 聊天响应流
-   */
-  sendMessage: (params) => {
-    return fetch('/api/chat/', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...useUserStore().getAuthHeaders()
-      },
-      body: JSON.stringify(params),
-    })
-  },
-
-  /**
-   * 发送可中断的聊天消息
-   * @param {Object} params - 聊天参数
-   * @param {AbortSignal} signal - 用于中断请求的信号控制器
-   * @returns {Promise} - 聊天响应流
-   */
-  sendMessageWithAbort: (params, signal) => {
-    return fetch('/api/chat/', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...useUserStore().getAuthHeaders()
-      },
-      body: JSON.stringify(params),
-      signal // 添加 signal 用于中断请求
-    })
-  },
 
   /**
    * 发送聊天消息到指定智能体（流式响应）
@@ -105,13 +72,7 @@ export const chatApi = {
    * @param {string} provider - 模型提供商
    * @returns {Promise} - 模型列表
    */
-  getProviderModels: (provider) => {
-    return fetch(`/api/chat/models?model_provider=${provider}`, {
-      headers: {
-        ...useUserStore().getAuthHeaders()
-      }
-    }).then(response => response.json())
-  },
+  getProviderModels: (provider) => apiGet(`/api/chat/models?model_provider=${provider}`, {}, true),
 
   /**
    * 更新模型提供商的模型列表
@@ -119,16 +80,7 @@ export const chatApi = {
    * @param {Array} models - 选中的模型列表
    * @returns {Promise} - 更新结果
    */
-  updateProviderModels: (provider, models) => {
-    return fetch(`/api/chat/models/update?model_provider=${provider}`, {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...useUserStore().getAuthHeaders()
-      },
-      body: JSON.stringify(models)
-    }).then(response => response.json())
-  }
+  updateProviderModels: (provider, models) => apiPost(`/api/chat/models/update?model_provider=${provider}`, models, {}, true)
 }
 
 // 用户设置API

web/src/apis/knowledge_api.js

@@ -179,14 +179,14 @@ export const fileApi = {
    */
   uploadFile: async (file, dbId = null) => {
     checkAdminPermission()
-    
+
     const formData = new FormData()
     formData.append('file', file)
-    
-    const url = dbId 
+
+    const url = dbId
       ? `/api/knowledge/files/upload?db_id=${dbId}`
       : '/api/knowledge/files/upload'
-    
+
     return apiPost(url, formData, {
       headers: {
         'Content-Type': 'multipart/form-data'
@@ -219,4 +219,3 @@ export const typeApi = {
   }
 }
 
- 

web/src/apis/system_api.js

@@ -177,7 +177,7 @@ export const agentConfigApi = {
    */
   setDefaultAgent: async (agentId) => {
     checkAdminPermission()
-    return apiPost('/api/chat/agent/default', { agent_id: agentId }, {}, true)
+    return apiPost('/api/chat/set_default_agent', { agent_id: agentId }, {}, true)
   }
 }
 

web/src/components/ModelSelectorComponent.vue

@@ -1,5 +1,5 @@
 <template>
-  <a-dropdown>
+  <a-dropdown trigger="click">
     <a class="model-select" @click.prevent>
       <!-- <BulbOutlined /> -->
       <a-tooltip :title="model_name" placement="right">
@@ -84,6 +84,7 @@ const handleSelectModel = (provider, name) => {
   .model-text {
     overflow: hidden;
     text-overflow: ellipsis;
+    color: #000;
   }