fix: pydantic

api/core/plugin/entities/request.py

@@ -42,7 +42,8 @@ class RequestInvokeLLM(BaseRequestInvokeModel):
     stream: Optional[bool] = False
 
     @field_validator("prompt_messages", mode="before")
-    def convert_prompt_messages(self, v):
+    @classmethod
+    def convert_prompt_messages(cls, v):
         if not isinstance(v, list):
             raise ValueError("prompt_messages must be a list")
 

api/core/tools/entities/tool_entities.py

@@ -114,7 +114,8 @@ class ToolInvokeMessage(BaseModel):
         stream: bool = Field(default=False, description="Whether the variable is streamed")
 
         @field_validator("variable_value", mode="before")
-        def transform_variable_value(self, value, values) -> Any:
+        @classmethod
+        def transform_variable_value(cls, value, values) -> Any:
             """
             Only basic types and lists are allowed.
             """
@@ -129,7 +130,8 @@ class ToolInvokeMessage(BaseModel):
             return value
         
         @field_validator("variable_name", mode="before")
-        def transform_variable_name(self, value) -> str:
+        @classmethod
+        def transform_variable_name(cls, value) -> str:
             """
             The variable name must be a string.
             """

api/core/tools/tool_engine.py

@@ -245,9 +245,8 @@ class ToolEngine:
                     + "you do not need to create it, just tell the user to check it now."
                 )
             elif response.type == ToolInvokeMessage.MessageType.JSON:
-                result += f"tool response: {
-                    json.dumps(cast(ToolInvokeMessage.JsonMessage, response.message).json_object, ensure_ascii=False)
-                }."
+                text = json.dumps(cast(ToolInvokeMessage.JsonMessage, response.message).json_object, ensure_ascii=False)
+                result += f"tool response: {text}."
             else:
                 result += f"tool response: {response.message}."