fix(gemini/files): use seek/tell for file size instead of len(bytes)

litellm/llms/gemini/files/transformation.py

@@ -3,6 +3,7 @@ Supports writing files to Google AI Studio Files API.
 
 For vertex ai, check out the vertex_ai/files/handler.py file.
 """
+
 import time
 from typing import Any, List, Literal, Optional
 
@@ -123,8 +124,9 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig):
         # Use the common utility function to extract file data
         extracted_data = extract_file_data(file_data)
 
-        # Get file size
-        file_size = len(extracted_data["content"])
+        # Get file size — prefer the pre-computed value (available when content is
+        # an IO[bytes] object so we didn't have to load all bytes into memory).
+        file_size = extracted_data.get("file_size") or len(extracted_data["content"])  # type: ignore[arg-type]
 
         # Step 1: Initial resumable upload request
         headers = {
@@ -143,7 +145,10 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig):
             }
         }
 
-        # Step 2: Actual file upload data
+        # Step 2: Actual file upload data.
+        # Pass the content object directly — httpx accepts both bytes and IO[bytes]
+        # as `content=`, so large files are streamed to the provider without being
+        # fully materialised in memory.
         upload_headers = {
             "Content-Length": str(file_size),
             "X-Goog-Upload-Offset": "0",
@@ -267,9 +272,11 @@ class GoogleAIStudioFilesHandler(GeminiModelInfo, BaseFilesConfig):
                 object="file",
                 purpose="user_data",
                 status=status,
-                status_details=str(response_json.get("error", ""))
-                if gemini_state == "FAILED"
-                else None,
+                status_details=(
+                    str(response_json.get("error", ""))
+                    if gemini_state == "FAILED"
+                    else None
+                ),
             )
         except Exception as e:
             verbose_logger.exception(f"Error parsing file retrieve response: {str(e)}")