feat: 更新模型配置为Qwen3-14B

将默认模型从Qwen升级到Qwen3-14B版本，包括模型管理器和相关工具的配置更新
```

这个提交消息：
1. 使用`feat`类型，因为是功能性的变更（升级模型版本）
2. 省略了scope，因为修改涉及多个文件
3. 描述简洁说明了"what"（更新模型配置）和"why"（升级到新版本）
4. 在正文中补充说明了变更范围（模型管理器和工具配置）
5. 使用中文并保持简洁，符合50字符限制

Author: yufei311

configs/config_qwen.toml

@@ -22,12 +22,12 @@ fetch_content = false
 max_length = 50000
 
 [deep_researcher_tool]
-model_id = "Qwen"
+model_id = "Qwen/Qwen3-14B"
 max_depth = 2
 max_insights = 20
 time_limit_seconds = 60
 max_follow_ups = 3
-summarizer_model_id = "Qwen"
+summarizer_model_id = "Qwen/Qwen3-14B"
 
 [browser_tool]
 headless = false
@@ -44,16 +44,16 @@ username = "xxxx"
 password = "xxxx"
 
 [deep_analyzer_tool]
-analyzer_model_ids = ["Qwen"]
-summarizer_model_id = "Qwen"
+analyzer_model_ids = ["Qwen/Qwen3-14B"]
+summarizer_model_id = "Qwen/Qwen3-14B"
 
 # Agent configs
 [agent]
 name = "dra"
 use_hierarchical_agent = true
 
 [agent.planning_agent_config]
-model_id = "Qwen"
+model_id = "Qwen/Qwen3-14B"
 name = "planning_agent"
 description = "A planning agent that can plan the steps to complete the task."
 max_steps = 15
@@ -62,23 +62,23 @@ tools = ["planning"]
 managed_agents = ["deep_analyzer_agent", "browser_use_agent", "deep_researcher_agent"]
 
 [agent.deep_analyzer_agent_config]
-model_id = "Qwen"
+model_id = "Qwen/Qwen3-14B"
 name = "deep_analyzer_agent"
 description = "Performs systematic, step-by-step analysis..."
 max_steps = 3
 template_path = "src/agent/deep_analyzer_agent/prompts/deep_analyzer_agent.yaml"
 tools = ["deep_analyzer", "python_interpreter"]
 
 [agent.browser_use_agent_config]
-model_id = "Qwen"
+model_id = "Qwen/Qwen3-14B"
 name = "browser_use_agent"
 description = "Searches relevant web pages and interacts with them."
 max_steps = 5
 template_path = "src/agent/browser_use_agent/prompts/browser_use_agent.yaml"
 tools = ["auto_browser_use", "python_interpreter"]
 
 [agent.deep_researcher_agent_config]
-model_id = "Qwen"
+model_id = "Qwen/Qwen3-14B"
 name = "deep_researcher_agent"
 description = "Conducts extensive web searches."
 max_steps = 3

src/agent/base_agent.py

@@ -13,8 +13,7 @@
     AgentGenerationError,
     AgentParsingError,
     AgentToolExecutionError,
-    AgentToolCallError,
-    logger as exception_logger # Use exception logger if it differs
+    AgentToolCallError
 )
 from src.base.async_multistep_agent import (PromptTemplates,
                                             populate_template,
@@ -24,8 +23,8 @@
                         AgentMemory)
 from src.logger import (
     LogLevel, 
-    YELLOW_HEX
-    # logger # AsyncMultiStepAgent creates its own self.logger
+    YELLOW_HEX,
+    logger # AsyncMultiStepAgent creates its own self.logger
 )
 from src.models import Model, parse_json_if_needed, ChatMessage
 from src.utils.agent_types import (

src/models/models.py

@@ -392,8 +392,8 @@ def _register_vllm_models(self, use_local_proxy: bool = False):
                                                     remote_api_base_name="QWEN_API_BASE")
         models = [
             {
-                "model_name": "Qwen",
-                "model_id": "Qwen",
+                "model_name": "Qwen/Qwen3-14B",
+                "model_id": "Qwen/Qwen3-14B",
             }
         ]
         for model in models:

src/tools/deep_researcher.py

@@ -566,7 +566,7 @@ async def _analyze_content(
         return insights
 
     async def _summary(self, query: str, reference_materials: str) -> str:
-        model = model_manager.registed_models["Qwen"]
+        model = model_manager.registed_models["Qwen/Qwen3-14B"]
 
         messages = [
             {"role": "user", "content": query}