refactor: use EnumText for Conversation/Message invoke_from and from_source (#33901)

api/core/tools/builtin_tool/tool.py

@@ -50,7 +50,7 @@ class BuiltinTool(Tool):
         return ModelInvocationUtils.invoke(
             user_id=user_id,
             tenant_id=self.runtime.tenant_id or "",
-            tool_type="builtin",
+            tool_type=ToolProviderType.BUILT_IN,
             tool_name=self.entity.identity.name,
             prompt_messages=prompt_messages,
         )

api/core/tools/tool_label_manager.py

@@ -38,7 +38,7 @@ class ToolLabelManager:
             db.session.add(
                 ToolLabelBinding(
                     tool_id=provider_id,
-                    tool_type=controller.provider_type.value,
+                    tool_type=controller.provider_type,
                     label_name=label,
                 )
             )
@@ -58,7 +58,7 @@ class ToolLabelManager:
             raise ValueError("Unsupported tool type")
         stmt = select(ToolLabelBinding.label_name).where(
             ToolLabelBinding.tool_id == provider_id,
-            ToolLabelBinding.tool_type == controller.provider_type.value,
+            ToolLabelBinding.tool_type == controller.provider_type,
         )
         labels = db.session.scalars(stmt).all()
 

api/core/tools/utils/model_invocation_utils.py

@@ -9,6 +9,7 @@ from decimal import Decimal
 from typing import cast
 
 from core.model_manager import ModelManager
+from core.tools.entities.tool_entities import ToolProviderType
 from dify_graph.model_runtime.entities.llm_entities import LLMResult
 from dify_graph.model_runtime.entities.message_entities import PromptMessage
 from dify_graph.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
@@ -78,7 +79,7 @@ class ModelInvocationUtils:
 
     @staticmethod
     def invoke(
-        user_id: str, tenant_id: str, tool_type: str, tool_name: str, prompt_messages: list[PromptMessage]
+        user_id: str, tenant_id: str, tool_type: ToolProviderType, tool_name: str, prompt_messages: list[PromptMessage]
     ) -> LLMResult:
         """
         invoke model with parameters in user's own context