feat(core): AWEL flow 2.0 backend code (#1879)

Co-authored-by: yhjun1026 <460342015@qq.com>

dbgpt/serve/file/api/schemas.py

@@ -0,0 +1,43 @@
+# Define your Pydantic schemas here
+from typing import Any, Dict
+
+from dbgpt._private.pydantic import BaseModel, ConfigDict, Field, model_to_dict
+
+from ..config import SERVE_APP_NAME_HUMP
+
+
+class ServeRequest(BaseModel):
+    """File request model"""
+
+    # TODO define your own fields here
+
+    model_config = ConfigDict(title=f"ServeRequest for {SERVE_APP_NAME_HUMP}")
+
+    def to_dict(self, **kwargs) -> Dict[str, Any]:
+        """Convert the model to a dictionary"""
+        return model_to_dict(self, **kwargs)
+
+
+class ServerResponse(BaseModel):
+    """File response model"""
+
+    # TODO define your own fields here
+
+    model_config = ConfigDict(title=f"ServerResponse for {SERVE_APP_NAME_HUMP}")
+
+    def to_dict(self, **kwargs) -> Dict[str, Any]:
+        """Convert the model to a dictionary"""
+        return model_to_dict(self, **kwargs)
+
+
+class UploadFileResponse(BaseModel):
+    """Upload file response model"""
+
+    file_name: str = Field(..., title="The name of the uploaded file")
+    file_id: str = Field(..., title="The ID of the uploaded file")
+    bucket: str = Field(..., title="The bucket of the uploaded file")
+    uri: str = Field(..., title="The URI of the uploaded file")
+
+    def to_dict(self, **kwargs) -> Dict[str, Any]:
+        """Convert the model to a dictionary"""
+        return model_to_dict(self, **kwargs)