diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
index 468283f804c..56154ee04dc 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
@@ -138,10 +138,15 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                 if should_start_new_block:
                     self._increment_content_block_index()
 
+                # applied_edits only needs to flow to the final message_delta
+                # (when finish_reason is set); skip threading it through every
+                # intermediate chunk so context_management is attached exactly
+                # once, on the truly final event.
+                is_final_chunk = chunk.choices[0].finish_reason is not None
                 processed_chunk = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
                     response=chunk,
                     current_content_block_index=self.current_content_block_index,
-                    applied_edits=self.applied_edits or None,
+                    applied_edits=self.applied_edits if is_final_chunk else None,
                 )
 
                 if should_start_new_block and not self.sent_content_block_finish:
@@ -280,10 +285,15 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                 if should_start_new_block:
                     self._increment_content_block_index()
 
+                # applied_edits only needs to flow to the final message_delta
+                # (when finish_reason is set); skip threading it through every
+                # intermediate chunk. For the hold-and-merge path below,
+                # context_management is attached directly to the merged chunk.
+                is_final_chunk = chunk.choices[0].finish_reason is not None
                 processed_chunk = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
                     response=chunk,
                     current_content_block_index=self.current_content_block_index,
-                    applied_edits=self.applied_edits or None,
+                    applied_edits=self.applied_edits if is_final_chunk else None,
                 )
 
                 # Check if this is a usage chunk and we have a held stop_reason chunk
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
index 0146362f979..2551353a049 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
@@ -468,7 +468,7 @@ def anthropic_messages_handler(
             if _request_drop_params is not None
             else litellm.drop_params
         )
-        polyfill_applied_edits: List[AppliedEdit] = []
+        polyfill_applied_edits: Optional[List[AppliedEdit]] = None
         if context_management_spec and not _drop_params:
             from litellm.llms.anthropic.experimental_pass_through.context_management import (
                 apply_context_management,
@@ -488,7 +488,7 @@ def anthropic_messages_handler(
                     "context_management polyfill: skipping edits due to error: %s",
                     e,
                 )
-                polyfill_applied_edits = []
+                polyfill_applied_edits = None
 
         return (
             LiteLLMMessagesToCompletionTransformationHandler.anthropic_messages_handler(