create an abstract class for an existing class

src/backend/base/langflow/services/tracing/base.py

@@ -0,0 +1,33 @@
+from abc import ABC, abstractmethod
+from typing import Dict, Any
+
+
+class BaseTrace(ABC):
+
+    @abstractmethod
+    def ready(self):
+        raise NotImplementedError
+
+    @abstractmethod
+    def setup_langsmith(self):
+        raise NotImplementedError
+
+    @abstractmethod
+    def add_trace(self, trace_name: str, trace_type: str, inputs: Dict[str, Any], metadata: Dict[str, Any] = None):
+        raise NotImplementedError
+
+    @abstractmethod
+    def _convert_to_langchain_types(self, io_dict: Dict[str, Any]):
+        raise NotImplementedError
+
+    @abstractmethod
+    def _convert_to_langchain_type(self, value):
+        raise NotImplementedError
+
+    @abstractmethod
+    def end_trace(self, trace_name: str, outputs: Dict[str, Any] = None, error: str = None):
+        raise NotImplementedError
+
+    @abstractmethod
+    def end(self, outputs: Dict[str, Any], error: str | None = None):
+        raise NotImplementedError

src/backend/base/langflow/services/tracing/service.py

@@ -13,6 +13,7 @@ from loguru import logger
 from langflow.schema.data import Data
 from langflow.services.base import Service
 from langflow.services.tracing.schema import Log
+from langflow.services.tracing.base import BaseTrace
 
 if TYPE_CHECKING:
     from langflow.services.monitor.service import MonitorService
@@ -180,8 +181,8 @@ class TracingService(Service):
         self.outputs_metadata[trace_name] |= output_metadata or {}
 
 
-class LangSmithTracer:
+class LangSmithTracer(BaseTrace):
-    def __init__(self, trace_name: str, trace_type: str, project_name: str, trace_id: UUID):
+    def __init__(self, trace_name: str, trace_type: str, project_name: str, trace_id: str):
         from langsmith.run_trees import RunTree
 
         self.trace_name = trace_name