ref(litellm): Revert input transformation

sentry_sdk/integrations/litellm.py

@@ -1,4 +1,3 @@
-import copy
 from typing import TYPE_CHECKING
 
 import sentry_sdk
@@ -8,7 +7,6 @@
     get_start_span_function,
     set_data_normalized,
     truncate_and_annotate_messages,
-    transform_openai_content_part,
     truncate_and_annotate_embedding_inputs,
 )
 from sentry_sdk.consts import SPANDATA
@@ -17,7 +15,7 @@
 from sentry_sdk.utils import event_from_exception
 
 if TYPE_CHECKING:
-    from typing import Any, Dict, List
+    from typing import Any, Dict
     from datetime import datetime
 
 try:
@@ -39,33 +37,6 @@ def _get_metadata_dict(kwargs: "Dict[str, Any]") -> "Dict[str, Any]":
     return metadata
 
 
-def _convert_message_parts(messages: "List[Dict[str, Any]]") -> "List[Dict[str, Any]]":
-    """
-    Convert the message parts from OpenAI format to the `gen_ai.request.messages` format
-    using the OpenAI-specific transformer (LiteLLM uses OpenAI's message format).
-
-    Deep copies messages to avoid mutating original kwargs.
-    """
-    # Deep copy to avoid mutating original messages from kwargs
-    messages = copy.deepcopy(messages)
-
-    for message in messages:
-        if not isinstance(message, dict):
-            continue
-        content = message.get("content")
-        if isinstance(content, (list, tuple)):
-            transformed = []
-            for item in content:
-                if isinstance(item, dict):
-                    result = transform_openai_content_part(item)
-                    # If transformation succeeded, use the result; otherwise keep original
-                    transformed.append(result if result is not None else item)
-                else:
-                    transformed.append(item)
-            message["content"] = transformed
-    return messages
-
-
 def _input_callback(kwargs: "Dict[str, Any]") -> None:
     """Handle the start of a request."""
     integration = sentry_sdk.get_client().get_integration(LiteLLMIntegration)
@@ -134,7 +105,6 @@ def _input_callback(kwargs: "Dict[str, Any]") -> None:
             messages = kwargs.get("messages", [])
             if messages:
                 scope = sentry_sdk.get_current_scope()
-                messages = _convert_message_parts(messages)
                 messages_data = truncate_and_annotate_messages(messages, span, scope)
                 if messages_data is not None:
                     set_data_normalized(