From 3705e7bcce45d12e344871450f7d296ae60aaa3f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 6 Nov 2026 01:56:11 -0800
Subject: [PATCH] fix(bedrock): keep a Responses batch row's drop_params and
 keep it out of passthrough rows

---
 litellm/llms/bedrock/files/transformation.py  |  8 +++--
 .../test_bedrock_files_transformation.py      | 32 ++++++++++++-------
 2 files changed, 27 insertions(+), 13 deletions(-)

diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py
index 931160f3266..65f402195a5 100644
--- a/litellm/llms/bedrock/files/transformation.py
+++ b/litellm/llms/bedrock/files/transformation.py
@@ -1021,7 +1021,11 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         model), so `input`, `instructions`, `max_output_tokens` and the tool
         params translate identically in batch and real time.
         """
-        return responses_batch_body_to_chat_body(openai_request_body)
+        chat_body: Final = responses_batch_body_to_chat_body(openai_request_body)
+        drop_params: Final = openai_request_body.get("drop_params")
+        if drop_params is None:
+            return chat_body
+        return _frozen_mapping(chain(chat_body.items(), (("drop_params", drop_params),)))
 
     @staticmethod
     def _transform_batch_body_to_chat_body(
@@ -1119,7 +1123,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         #     like openai.gpt-oss-*, qwen, deepseek, etc.) ---
         return {
             "messages": messages,
-            **optional_params,
+            **{k: v for k, v in optional_params.items() if k != "drop_params"},
         }
 
     def _resolve_batch_record_model_and_provider(
diff --git a/tests/unit/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/unit/llms/bedrock/files/test_bedrock_files_transformation.py
index 349247b2ff6..c411a85a9f8 100644
--- a/tests/unit/llms/bedrock/files/test_bedrock_files_transformation.py
+++ b/tests/unit/llms/bedrock/files/test_bedrock_files_transformation.py
@@ -100,16 +100,15 @@ class TestBedrockFilesTransformation:
         assert result[0]["modelInput"]["max_tokens"] == 10
 
     @staticmethod
-    def _nova_row(**body_params: object) -> dict[str, object]:
+    def _nova_row(
+        url: str = "/v1/chat/completions", model: str = "us.amazon.nova-pro-v1:0", **body_params: object
+    ) -> dict[str, object]:
+        prompt: Final = {"input": "hi"} if url == "/v1/responses" else {"messages": [{"role": "user", "content": "hi"}]}
         return {
             "custom_id": "nova-tier-1",
             "method": "POST",
-            "url": "/v1/chat/completions",
-            "body": {
-                "model": "us.amazon.nova-pro-v1:0",
-                "messages": [{"role": "user", "content": "hi"}],
-                **body_params,
-            },
+            "url": url,
+            "body": {"model": model, **prompt, **body_params},
         }
 
     def test_nova_row_with_null_service_tier_sends_no_tier(self):
@@ -119,18 +118,29 @@ class TestBedrockFilesTransformation:
 
         assert "serviceTier" not in result[0]["modelInput"]
 
-    def test_nova_row_with_unmapped_service_tier_fails_the_row_like_real_time(self):
+    @pytest.mark.parametrize("url", ["/v1/chat/completions", "/v1/responses"])
+    def test_nova_row_with_unmapped_service_tier_fails_the_row_like_real_time(self, url: str):
         with pytest.raises(litellm.UnsupportedParamsError, match="ultrafast"):
             BedrockFilesConfig().transform_openai_jsonl_content_to_bedrock_jsonl_content(
-                [self._nova_row(service_tier="ultrafast")]
+                [self._nova_row(url, service_tier="ultrafast")]
             )
 
-    def test_nova_row_level_drop_params_drops_the_unmapped_service_tier(self):
+    @pytest.mark.parametrize("url", ["/v1/chat/completions", "/v1/responses"])
+    def test_nova_row_level_drop_params_drops_the_unmapped_service_tier(self, url: str):
         result: Final = BedrockFilesConfig().transform_openai_jsonl_content_to_bedrock_jsonl_content(
-            [self._nova_row(service_tier="ultrafast", drop_params=True)]
+            [self._nova_row(url, service_tier="ultrafast", drop_params=True)]
         )
 
         assert "serviceTier" not in result[0]["modelInput"]
+        assert "drop_params" not in json.dumps(result[0]["modelInput"])
+
+    @pytest.mark.parametrize("url", ["/v1/chat/completions", "/v1/responses"])
+    def test_passthrough_row_keeps_row_level_drop_params_out_of_the_model_input(self, url: str):
+        result: Final = BedrockFilesConfig().transform_openai_jsonl_content_to_bedrock_jsonl_content(
+            [self._nova_row(url, "openai.gpt-oss-120b-1:0", drop_params=True)]
+        )
+
+        assert "drop_params" not in result[0]["modelInput"]
 
     def test_nova_text_only_uses_converse_format(self):
         """