[fix] public share agent run

api/app/controllers/public_share_controller.py

@@ -392,8 +392,8 @@ async def chat(
 
     if app_type == AppType.AGENT:
         # 流式返回
-        agent_config = agent_config_4_app_release(app.current_release)
+        agent_config = agent_config_4_app_release(release)
-        
+
         if payload.stream:
             # async def event_generator():
             #     async for event in service.chat_stream(

api/app/models/agent_app_config_model.py

@@ -4,6 +4,8 @@ from sqlalchemy import Column, String, Boolean, DateTime, Text, ForeignKey
 from sqlalchemy.dialects.postgresql import UUID, JSON
 from sqlalchemy.orm import relationship
 from app.db import Base
+from app.models.multi_agent_model import PydanticType
+from app.schemas import ModelParameters
 
 
 class AgentConfig(Base):
@@ -17,14 +19,17 @@ class AgentConfig(Base):
     # Agent 行为配置
     system_prompt = Column(Text, nullable=True, comment="系统提示词")
     default_model_config_id = Column(UUID(as_uuid=True), ForeignKey("model_configs.id"), nullable=True, index=True, comment="默认模型配置ID")
-    
+
     # 结构化配置（直接存储 JSON）
-    model_parameters = Column(JSON, nullable=True, comment="模型参数配置（temperature、max_tokens等）")
+    # model_parameters = Column(JSON, nullable=True, comment="模型参数配置（temperature、max_tokens等）")
+    model_parameters = Column(PydanticType(ModelParameters), nullable=True,
+                              comment="模型参数配置（temperature、max_tokens等）")
+
     knowledge_retrieval = Column(JSON, nullable=True, comment="知识库检索配置")
     memory = Column(JSON, nullable=True, comment="记忆配置")
     variables = Column(JSON, default=list, nullable=True, comment="变量配置")
     tools = Column(JSON, default=dict, nullable=True, comment="工具配置")
-    
+
     # 多 Agent 相关字段
     agent_role = Column(String(20), comment="Agent 角色: master|sub|standalone")
     agent_domain = Column(String(50), comment="专业领域: customer_service|technical_support|sales 等")
@@ -41,4 +46,4 @@ class AgentConfig(Base):
     parent_agent = relationship("AgentConfig", remote_side=[id], backref="sub_agents")
 
     def __repr__(self):
-        return f"<AgentConfig(id={self.id}, app_id={self.app_id})>"
+        return f"<AgentConfig(id={self.id}, app_id={self.app_id})>"

api/app/services/app_chat_service.py

@@ -184,7 +184,7 @@ class AppChatService:
             model_config_id = config.default_model_config_id
             api_key_obj = ModelApiKeyService.get_a_api_key(self.db ,model_config_id)
             # 处理系统提示词（支持变量替换）
-            system_prompt = config.get("system_prompt", "")
+            system_prompt = config.system_prompt
             if variables:
                 system_prompt_rendered = render_prompt_message(
                     system_prompt,
@@ -197,7 +197,7 @@ class AppChatService:
             tools = []
 
             # 添加知识库检索工具
-            knowledge_retrieval = config.get("knowledge_retrieval")
+            knowledge_retrieval = config.knowledge_retrieval
             if knowledge_retrieval:
                 knowledge_bases = knowledge_retrieval.get("knowledge_bases", [])
                 kb_ids = [kb.get("kb_id") for kb in knowledge_bases if kb.get("kb_id")]
@@ -208,13 +208,13 @@ class AppChatService:
             # 添加长期记忆工具
             memory_flag = False
             if memory:
-                memory_config = config.get("memory", {})
+                memory_config = config.memory
                 if memory_config.get("enabled") and user_id:
                     memory_flag = True
                     memory_tool = create_long_term_memory_tool(memory_config, user_id)
                     tools.append(memory_tool)
 
-            web_tools = config.get("tools")
+            web_tools = config.tools
             web_search_choice = web_tools.get("web_search", {})
             web_search_enable = web_search_choice.get("enabled", False)
             if web_search == True:
@@ -230,7 +230,7 @@ class AppChatService:
                     )
 
             # 获取模型参数
-            model_parameters = config.get("model_parameters", {})
+            model_parameters = config.model_parameters
 
             # 创建 LangChain Agent
             agent = LangChainAgent(
@@ -763,6 +763,7 @@ class AppChatService:
             logger.error(f"流式聊天失败: {str(e)}", exc_info=True)
             # 发送错误事件
             yield f"event: error\ndata: {json.dumps({'error': str(e)}, ensure_ascii=False)}\n\n"
+
 # ==================== 依赖注入函数 ====================
 
 def get_app_chat_service(