diff --git a/docs/my-website/docs/completion/input.md b/docs/my-website/docs/completion/input.md
index e55c160e01..67738a7f1c 100644
--- a/docs/my-website/docs/completion/input.md
+++ b/docs/my-website/docs/completion/input.md
@@ -191,6 +191,10 @@ def completion(
         
 - `top_logprobs`: *int (optional)* - An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to true if this parameter is used.
 
+- `headers`: *dict (optional)* - A dictionary of headers to be sent with the request.
+
+- `extra_headers`: *dict (optional)* - Alternative to `headers`, used to send extra headers in LLM API request. 
+
 #### Deprecated Params
 - `functions`: *array* - A list of functions that the model may use to generate JSON inputs. Each function should have the following properties:
 
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index b1f6ef3da9..9536f38547 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -378,6 +378,12 @@ class AmazonConverseConfig:
         for key in additional_request_keys:
             inference_params.pop(key, None)
 
+        if 'topK' in inference_params:
+            additional_request_params["inferenceConfig"] = {'topK': inference_params.pop("topK")}
+        elif 'top_k' in inference_params:
+            additional_request_params["inferenceConfig"] = {'topK': inference_params.pop("top_k")}
+
+
         bedrock_tools: List[ToolBlock] = _bedrock_tools_pt(
             inference_params.pop("tools", [])
         )
diff --git a/tests/llm_translation/test_bedrock_completion.py b/tests/llm_translation/test_bedrock_completion.py
index 6a59d813b9..d466a13553 100644
--- a/tests/llm_translation/test_bedrock_completion.py
+++ b/tests/llm_translation/test_bedrock_completion.py
@@ -2215,8 +2215,22 @@ def test_bedrock_nova_topk(top_k_param):
         "messages": [{"role": "user", "content": "Hello, world!"}],
         top_k_param: 10,
     }
-    litellm.completion(**data)
+    original_transform = litellm.AmazonConverseConfig()._transform_request
+    captured_data = None
 
+    def mock_transform(*args, **kwargs):
+        nonlocal captured_data
+        result = original_transform(*args, **kwargs)
+        captured_data = result
+        return result
+
+    with patch('litellm.AmazonConverseConfig._transform_request', side_effect=mock_transform):
+        litellm.completion(**data)
+
+        # Assert that additionalRequestParameters exists and contains topK
+        assert 'additionalModelRequestFields' in captured_data
+        assert 'inferenceConfig' in captured_data['additionalModelRequestFields']
+        assert captured_data['additionalModelRequestFields']['inferenceConfig']['topK'] == 10
 
 def test_bedrock_process_empty_text_blocks():
     from litellm.litellm_core_utils.prompt_templates.factory import (