refactor: Update LangSmithTracer to use convert_to_langchain_types from utils.py

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

@@ -0,0 +1,34 @@
+from typing import Any, Dict
+
+from langflow.schema.data import Data
+
+
+def convert_to_langchain_type(value):
+    from langflow.schema.message import Message
+
+    if isinstance(value, dict):
+        for key, _value in value.copy().items():
+            _value = convert_to_langchain_type(_value)
+            value[key] = _value
+    elif isinstance(value, list):
+        value = [convert_to_langchain_type(v) for v in value]
+    elif isinstance(value, Message):
+        if "prompt" in value:
+            value = value.load_lc_prompt()
+        elif value.sender:
+            value = value.to_lc_message()
+        else:
+            value = value.to_lc_document()
+    elif isinstance(value, Data):
+        if "text" in value.data:
+            value = value.to_lc_document()
+        else:
+            value = value.data
+    return value
+
+
+def convert_to_langchain_types(io_dict: Dict[str, Any]):
+    converted = {}
+    for key, value in io_dict.items():
+        converted[key] = convert_to_langchain_type(value)
+    return converted