From 1ac710f005a8b1efbdd6e4e1c1d824362a164797 Mon Sep 17 00:00:00 2001
From: Dushyant Acharya <dushyantacharya873@gmail.com>
Date: Sun, 14 Jun 2026 06:00:54 +0530
Subject: [PATCH] style: apply black formatting to fix lint checks

---
 litellm/llms/anthropic/chat/transformation.py |  4 +-
 tests/test_anthropic_compaction_usage.py      | 47 ++++++++++---------
 2 files changed, 27 insertions(+), 24 deletions(-)

diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 9e1599fd0f6..e8c1e659e9f 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -2279,7 +2279,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 ),
             )
 
-        raw_input_tokens = prompt_tokens - cache_read_input_tokens - cache_creation_input_tokens
+        raw_input_tokens = (
+            prompt_tokens - cache_read_input_tokens - cache_creation_input_tokens
+        )
         prompt_tokens_details = PromptTokensDetailsWrapper(
             cached_tokens=cache_read_input_tokens,
             cache_creation_tokens=cache_creation_input_tokens,
diff --git a/tests/test_anthropic_compaction_usage.py b/tests/test_anthropic_compaction_usage.py
index a6158d2fc3b..1758a94fffc 100644
--- a/tests/test_anthropic_compaction_usage.py
+++ b/tests/test_anthropic_compaction_usage.py
@@ -1,37 +1,37 @@
 from litellm.llms.anthropic.chat.transformation import AnthropicConfig
 
+
 def test_anthropic_compaction_usage_calculation():
     """
     Test that calculate_usage correctly sums tokens from the iterations array
     as requested in Issue #27060.
     """
     anthropic_config = AnthropicConfig()
-    
+
     # Mock usage object with compaction iterations
     usage_object = {
         "input_tokens": 100,  # Top-level (excludes compaction)
-        "output_tokens": 50,   # Top-level (excludes compaction)
+        "output_tokens": 50,  # Top-level (excludes compaction)
         "iterations": [
             {
                 "iteration": 1,
                 "type": "compaction",
                 "input_tokens": 1000,
-                "output_tokens": 500
+                "output_tokens": 500,
             },
             {
                 "iteration": 2,
                 "type": "message",
                 "input_tokens": 100,
-                "output_tokens": 50
-            }
-        ]
+                "output_tokens": 50,
+            },
+        ],
     }
-    
+
     usage = anthropic_config.calculate_usage(
-        usage_object=usage_object,
-        reasoning_content=None
+        usage_object=usage_object, reasoning_content=None
     )
-    
+
     # Assertions
     # Total prompt tokens should be 1000 + 100 = 1100
     assert usage.prompt_tokens == 1100
@@ -39,48 +39,48 @@ def test_anthropic_compaction_usage_calculation():
     assert usage.completion_tokens == 550
     # Total tokens should be 1650
     assert usage.total_tokens == 1650
-    
+
     # Assert details
     assert usage.prompt_tokens_details.text_tokens == 1100
-    
+
     # Assert iterations passthrough
     assert usage.iterations is not None
     assert len(usage.iterations) == 2
     assert usage.iterations[0]["type"] == "compaction"
 
+
 def test_anthropic_compaction_usage_with_iteration_cache():
     """
     Test that calculate_usage correctly sums caching tokens FROM iterations.
     This covers the specific case mentioned by JasonPan.
     """
     anthropic_config = AnthropicConfig()
-    
+
     usage_object = {
         "input_tokens": 100,
         "output_tokens": 50,
         "iterations": [
             {
                 "type": "compaction",
-                "input_tokens": 500, 
+                "input_tokens": 500,
                 "output_tokens": 200,
                 "cache_creation_input_tokens": 50,
-                "cache_read_input_tokens": 17000
+                "cache_read_input_tokens": 17000,
             },
             {
                 "type": "message",
-                "input_tokens": 100, 
+                "input_tokens": 100,
                 "output_tokens": 50,
                 "cache_creation_input_tokens": 10,
-                "cache_read_input_tokens": 20
-            }
-        ]
+                "cache_read_input_tokens": 20,
+            },
+        ],
     }
-    
+
     usage = anthropic_config.calculate_usage(
-        usage_object=usage_object,
-        reasoning_content=None
+        usage_object=usage_object, reasoning_content=None
     )
-    
+
     # input_tokens sum = 500 + 100 = 600
     # cache_creation sum = 50 + 10 = 60
     # cache_read sum = 17000 + 20 = 17020
@@ -90,6 +90,7 @@ def test_anthropic_compaction_usage_with_iteration_cache():
     assert usage.prompt_tokens_details.cache_creation_tokens == 60
     assert usage.prompt_tokens_details.cached_tokens == 17020
 
+
 if __name__ == "__main__":
     test_anthropic_compaction_usage_calculation()
     test_anthropic_compaction_usage_with_iteration_cache()