From 215cfb09b60c76cd4432ee73d6473c7c904d5b11 Mon Sep 17 00:00:00 2001
From: "alex.gatto" <alex.gatto@workday.com>
Date: Thu, 18 Sep 2025 12:02:01 -0400
Subject: [PATCH 1/5] Update ruff + fix some toml syntax errors

---
 libs/aws/pyproject.toml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/libs/aws/pyproject.toml b/libs/aws/pyproject.toml
index f8da856a..556643a1 100644
--- a/libs/aws/pyproject.toml
+++ b/libs/aws/pyproject.toml
@@ -60,7 +60,7 @@ optional = true
 optional = true
 
 [tool.poetry.group.lint.dependencies]
-ruff = "^0.1.8"
+ruff = "^0.13.0"
 
 
 
@@ -84,8 +84,8 @@ select = [
 ]
 
 [tool.mypy]
-ignore_missing_imports = "True"
-disallow_untyped_defs = "True"
+ignore_missing_imports = true
+disallow_untyped_defs = true
 exclude = ["notebooks", "samples"]
 
 [tool.coverage.run]

From a343120921a5a7d7744df8e25908edd38810eb8d Mon Sep 17 00:00:00 2001
From: "alex.gatto" <alex.gatto@workday.com>
Date: Thu, 18 Sep 2025 12:02:15 -0400
Subject: [PATCH 2/5] Update the lockfile

---
 libs/aws/poetry.lock | 370 ++++++++++++++++++++++---------------------
 1 file changed, 186 insertions(+), 184 deletions(-)

diff --git a/libs/aws/poetry.lock b/libs/aws/poetry.lock
index 35b31704..ef1a7f02 100644
--- a/libs/aws/poetry.lock
+++ b/libs/aws/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -72,15 +72,15 @@ lxml = ["lxml"]
 
 [[package]]
 name = "bedrock-agentcore"
-version = "0.1.3"
+version = "0.1.4"
 description = "An SDK for using Bedrock AgentCore"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version >= \"3.10\" and extra == \"tools\""
 files = [
-    {file = "bedrock_agentcore-0.1.3-py3-none-any.whl", hash = "sha256:570356f11d859dafe91aa524ba8e9cac46837d7202847c615b832e318c77f632"},
-    {file = "bedrock_agentcore-0.1.3.tar.gz", hash = "sha256:5a569e54844aa2d6080ca0ff1c64a42d1bd7b19ef613f760c82187041b404ec5"},
+    {file = "bedrock_agentcore-0.1.4-py3-none-any.whl", hash = "sha256:d372ca4d522173be6baab5723efd3c27cc2746b73b711ead1329902a98bc9a43"},
+    {file = "bedrock_agentcore-0.1.4.tar.gz", hash = "sha256:59c513df840ef66843915c7c229603732a3e7d7e76cb9d618be5663dbe1cc863"},
 ]
 
 [package.dependencies]
@@ -97,18 +97,18 @@ strands-agents = ["strands-agents (>=1.1.0)"]
 
 [[package]]
 name = "boto3"
-version = "1.40.27"
+version = "1.40.33"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "boto3-1.40.27-py3-none-any.whl", hash = "sha256:397d8cde7924f03b25eb553d5ed69293697dbfa1ca29b07369b3fa2df8318eca"},
-    {file = "boto3-1.40.27.tar.gz", hash = "sha256:bf1e0f5aa79dbeedff14926dc2eb1b57bc119fa9015a190a24b6cd5bf9a60e9a"},
+    {file = "boto3-1.40.33-py3-none-any.whl", hash = "sha256:dc8a37b25f43d458d830a5988283f0a5ac38a47dd2c46cccc5bc40e47fda97c9"},
+    {file = "boto3-1.40.33.tar.gz", hash = "sha256:b9548f4cfb44dc9fb7f09741c7dce34350d4a9f904ff0f7f97d699d0586f6b9a"},
 ]
 
 [package.dependencies]
-botocore = ">=1.40.27,<1.41.0"
+botocore = ">=1.40.33,<1.41.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.14.0,<0.15.0"
 
@@ -117,14 +117,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.40.27"
+version = "1.40.33"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "botocore-1.40.27-py3-none-any.whl", hash = "sha256:47441c94913740f5c24abf3d7f6fa534f12705e4c6669cd2e8443f3b3ca9d7ca"},
-    {file = "botocore-1.40.27.tar.gz", hash = "sha256:f7cb28668751d85adc7f17929efa684640d8e2739800a86a05d4bc38f8443d1c"},
+    {file = "botocore-1.40.33-py3-none-any.whl", hash = "sha256:b9a33758913410ca0d81f30dfd9f00c4ff22c72c38fdf679864011afc73d99fd"},
+    {file = "botocore-1.40.33.tar.gz", hash = "sha256:307e0cb55f4b7307bfd2090fd1c9ca14e1febece5b928144ccc0f78adfd2d864"},
 ]
 
 [package.dependencies]
@@ -836,14 +836,14 @@ langchain-core = ">=0.3.75,<2.0.0"
 
 [[package]]
 name = "langsmith"
-version = "0.4.27"
+version = "0.4.28"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
 files = [
-    {file = "langsmith-0.4.27-py3-none-any.whl", hash = "sha256:23708e6478d1c74ac0e428bbc92df6704993e34305fb62a0c64d2fefc35bd67f"},
-    {file = "langsmith-0.4.27.tar.gz", hash = "sha256:6e8bbc425797202952d4e849431e6276e7985b44536ec0582eb96eaf9129c393"},
+    {file = "langsmith-0.4.28-py3-none-any.whl", hash = "sha256:0440968566d56d38d889afa202e1ff56a238e1493aea87ceb5c3c28d41d01144"},
+    {file = "langsmith-0.4.28.tar.gz", hash = "sha256:8734e6d3e16ce0085b5f7235633b0e14bc8e0c160b1c1d8ce2588f83a936e171"},
 ]
 
 [package.dependencies]
@@ -1052,50 +1052,50 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "mypy"
-version = "1.17.1"
+version = "1.18.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["typing"]
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 [package.dependencies]
@@ -1549,14 +1549,14 @@ files = [
 
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 description = "Data validation using Python type hints"
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 python-versions = ">=3.9"
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 [package.dependencies]
@@ -2024,29 +2024,31 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
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 [[package]]
@@ -2203,15 +2205,15 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
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+version = "0.48.0"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version >= \"3.10\" and extra == \"tools\""
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 [package.dependencies]
@@ -2314,15 +2316,15 @@ types-urllib3 = "*"
 
 [[package]]
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 python-versions = ">=3.9"
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 [package.dependencies]
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 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test", "typing"]
-markers = "python_version >= \"3.10\" and platform_python_implementation != \"PyPy\""
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 ]
 
 [package.extras]
-cffi = ["cffi (>=1.17) ; python_version >= \"3.13\" and platform_python_implementation != \"PyPy\""]
+cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
 
 [extras]
 tools = ["beautifulsoup4", "bedrock-agentcore", "playwright"]
@@ -2846,4 +2848,4 @@ tools = ["beautifulsoup4", "bedrock-agentcore", "playwright"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9"
-content-hash = "cbba20a11aa1fe3e207f8ba357056f332abf4f9f1a7cf7b4e2c8ebaf6a282930"
+content-hash = "7c3a1a9cff1cc9a9e77e1c4726b32415ae410ccf7107e60cb6ac10ab88d57797"

From 6526ad0ef160764b07c2bb3691d867406db6e000 Mon Sep 17 00:00:00 2001
From: "alex.gatto" <alex.gatto@workday.com>
Date: Thu, 18 Sep 2025 12:14:25 -0400
Subject: [PATCH 3/5] ran the formatter and this is what happened

---
 libs/aws/langchain_aws/chat_models/bedrock.py | 125 ++++----
 .../chat_models/bedrock_converse.py           |   6 +-
 .../chat_models/sagemaker_endpoint.py         |  27 +-
 .../document_compressors/rerank.py            |  13 +-
 libs/aws/langchain_aws/embeddings/bedrock.py  |   4 +-
 .../aws/langchain_aws/graphs/neptune_graph.py |  18 +-
 .../langchain_aws/graphs/neptune_rdf_graph.py |   2 +-
 libs/aws/langchain_aws/llms/bedrock.py        |  77 +++--
 .../langchain_aws/llms/sagemaker_endpoint.py  |   2 +-
 libs/aws/langchain_aws/retrievers/bedrock.py  | 131 ++++-----
 libs/aws/langchain_aws/runnables/__init__.py  |   2 +-
 .../aws/langchain_aws/runnables/q_business.py |  50 ++--
 libs/aws/langchain_aws/tools/__init__.py      |   5 +-
 .../tools/browser_session_manager.py          |  22 +-
 .../langchain_aws/tools/browser_toolkit.py    |   2 +-
 libs/aws/langchain_aws/tools/browser_tools.py | 119 ++++----
 .../tools/code_interpreter_toolkit.py         |  33 +--
 libs/aws/langchain_aws/tools/utils.py         |   4 +-
 libs/aws/langchain_aws/utils.py               |  29 +-
 .../chat_models/test_bedrock.py               |  81 +++---
 .../chat_models/test_sagemaker_endpoint.py    |   4 +-
 .../embeddings/test_bedrock_embeddings.py     |   5 +-
 .../integration_tests/llms/test_bedrock.py    |   4 +-
 .../unit_tests/chat_models/test_bedrock.py    | 262 +++++++++--------
 .../chat_models/test_bedrock_converse.py      |   9 +-
 .../chat_models/test_sagemaker_endpoint.py    |   1 +
 .../aws/tests/unit_tests/llms/test_bedrock.py |  77 ++---
 .../unit_tests/retrievers/test_bedrock.py     |  17 +-
 libs/aws/tests/unit_tests/test_utils.py       | 267 ++++++++++--------
 29 files changed, 760 insertions(+), 638 deletions(-)

diff --git a/libs/aws/langchain_aws/chat_models/bedrock.py b/libs/aws/langchain_aws/chat_models/bedrock.py
index ee8554d9..e809472c 100644
--- a/libs/aws/langchain_aws/chat_models/bedrock.py
+++ b/libs/aws/langchain_aws/chat_models/bedrock.py
@@ -98,16 +98,15 @@ def _convert_one_message_to_text_llama3(message: BaseMessage) -> str:
         )
     elif isinstance(message, HumanMessage):
         message_text = (
-            f"<|start_header_id|>user" f"<|end_header_id|>{message.content}<|eot_id|>"
+            f"<|start_header_id|>user<|end_header_id|>{message.content}<|eot_id|>"
         )
     elif isinstance(message, AIMessage):
         message_text = (
-            f"<|start_header_id|>assistant"
-            f"<|end_header_id|>{message.content}<|eot_id|>"
+            f"<|start_header_id|>assistant<|end_header_id|>{message.content}<|eot_id|>"
         )
     elif isinstance(message, SystemMessage):
         message_text = (
-            f"<|start_header_id|>system" f"<|end_header_id|>{message.content}<|eot_id|>"
+            f"<|start_header_id|>system<|end_header_id|>{message.content}<|eot_id|>"
         )
     else:
         raise ValueError(f"Got unknown type {message}")
@@ -131,21 +130,15 @@ def _convert_one_message_to_text_llama4(message: BaseMessage) -> str:
             f"<|header_start|>{message.role}<|header_end|>{message.content}<|eot|>"
         )
     elif isinstance(message, HumanMessage):
-        message_text = (
-            f"<|header_start|>user<|header_end|>{message.content}<|eot|>"
-        )
+        message_text = f"<|header_start|>user<|header_end|>{message.content}<|eot|>"
     elif isinstance(message, AIMessage):
         message_text = (
             f"<|header_start|>assistant<|header_end|>{message.content}<|eot|>"
         )
     elif isinstance(message, SystemMessage):
-        message_text = (
-            f"<|header_start|>system<|header_end|>{message.content}<|eot|>"
-        )
+        message_text = f"<|header_start|>system<|header_end|>{message.content}<|eot|>"
     elif isinstance(message, ToolMessage):
-        message_text = (
-            f"<|header_start|>ipython<|header_end|>{message.content}<|eom|>"
-        )
+        message_text = f"<|header_start|>ipython<|header_end|>{message.content}<|eom|>"
     else:
         raise ValueError(f"Got unknown type {message}")
 
@@ -197,7 +190,7 @@ def convert_messages_to_prompt_anthropic(
     """
     if messages is None:
         return ""
-    
+
     messages = messages.copy()  # don't mutate the original list
     if len(messages) > 0 and not isinstance(messages[-1], AIMessage):
         messages.append(AIMessage(content=""))
@@ -234,21 +227,13 @@ def convert_messages_to_prompt_mistral(messages: List[BaseMessage]) -> str:
 
 def _convert_one_message_to_text_deepseek(message: BaseMessage) -> str:
     if isinstance(message, ChatMessage):
-        message_text = (
-            f"<|{message.role}|>{message.content}"
-        )
+        message_text = f"<|{message.role}|>{message.content}"
     elif isinstance(message, HumanMessage):
-        message_text = (
-            f"<|User|>{message.content}"
-        )
+        message_text = f"<|User|>{message.content}"
     elif isinstance(message, AIMessage):
-        message_text = (
-            f"<|Assistant|>{message.content}"
-        )
+        message_text = f"<|Assistant|>{message.content}"
     elif isinstance(message, SystemMessage):
-        message_text = (
-            f"<|System|>{message.content}"
-        )
+        message_text = f"<|System|>{message.content}"
     else:
         raise ValueError(f"Got unknown type {message}")
 
@@ -291,30 +276,22 @@ def convert_messages_to_prompt_writer(messages: List[BaseMessage]) -> str:
 
 def _convert_one_message_to_text_openai(message: BaseMessage) -> str:
     if isinstance(message, SystemMessage):
-        message_text = (
-            f"<|start|>system<|message|>{message.content}<|end|>"
-        )
+        message_text = f"<|start|>system<|message|>{message.content}<|end|>"
     elif isinstance(message, ChatMessage):
         # developer role messages
-        message_text = (
-            f"<|start|>{message.role}<|message|>{message.content}<|end|>"
-        )
+        message_text = f"<|start|>{message.role}<|message|>{message.content}<|end|>"
     elif isinstance(message, HumanMessage):
-        message_text = (
-            f"<|start|>user<|message|>{message.content}<|end|>"
-        )
+        message_text = f"<|start|>user<|message|>{message.content}<|end|>"
     elif isinstance(message, AIMessage):
         message_text = (
             f"<|start|>assistant<|channel|>final<|message|>{message.content}<|end|>"
         )
     elif isinstance(message, ToolMessage):
-      # TODO: Tool messages in the OpenAI format should use "<|start|>{toolname} to=assistant<|message|>"
-      # Need to extract the tool name from the ToolMessage content or tool_call_id
-      # For now using generic "to=assistant" format as placeholder until we implement tool calling
-      # Will be resolved in follow-up PR with full tool support
-        message_text = (
-            f"<|start|>to=assistant<|channel|>commentary<|message|>{message.content}<|end|>"
-        )
+        # TODO: Tool messages in the OpenAI format should use "<|start|>{toolname} to=assistant<|message|>"
+        # Need to extract the tool name from the ToolMessage content or tool_call_id
+        # For now using generic "to=assistant" format as placeholder until we implement tool calling
+        # Will be resolved in follow-up PR with full tool support
+        message_text = f"<|start|>to=assistant<|channel|>commentary<|message|>{message.content}<|end|>"
     else:
         raise ValueError(f"Got unknown type {message}")
 
@@ -373,7 +350,7 @@ def _format_data_content_block(block: dict) -> dict:
                     "type": "base64",
                     "media_type": block["mime_type"],
                     "data": block["data"],
-                }
+                },
             }
         else:
             error_message = "Image data only supported through in-line base64 format."
@@ -440,9 +417,7 @@ def _format_anthropic_messages(
     for i, message in enumerate(merged_messages):
         if message.type == "system":
             if system is not None:
-                raise ValueError(
-                    "Received multiple non-consecutive system messages."
-                )
+                raise ValueError("Received multiple non-consecutive system messages.")
             elif isinstance(message.content, str):
                 system = message.content
             elif isinstance(message.content, list):
@@ -482,9 +457,9 @@ def _format_anthropic_messages(
 
         if not isinstance(message.content, str):
             # parse as dict
-            assert isinstance(
-                message.content, list
-            ), "Anthropic message content must be str or list of dicts"
+            assert isinstance(message.content, list), (
+                "Anthropic message content must be str or list of dicts"
+            )
 
             # populate content
             content = []
@@ -514,19 +489,28 @@ def _format_anthropic_messages(
                             # Handle list content inside tool_result
                             processed_list = []
                             for list_item in content_item:
-                                if isinstance(list_item, dict) and list_item.get("type") == "image_url":
+                                if (
+                                    isinstance(list_item, dict)
+                                    and list_item.get("type") == "image_url"
+                                ):
                                     # Process image in list
-                                    source = _format_image(list_item["image_url"]["url"])
-                                    processed_list.append({"type": "image", "source": source})
+                                    source = _format_image(
+                                        list_item["image_url"]["url"]
+                                    )
+                                    processed_list.append(
+                                        {"type": "image", "source": source}
+                                    )
                                 else:
                                     # Keep other items as is
                                     processed_list.append(list_item)
                             # Add processed list to tool_result
-                            tool_blocks.append({
-                                "type": "tool_result",
-                                "tool_use_id": item.get("tool_use_id"),
-                                "content": processed_list
-                            })
+                            tool_blocks.append(
+                                {
+                                    "type": "tool_result",
+                                    "tool_use_id": item.get("tool_use_id"),
+                                    "content": processed_list,
+                                }
+                            )
                         else:
                             # For other content types, keep as is
                             tool_blocks.append(item)
@@ -788,9 +772,9 @@ def set_beta_use_converse_api(cls, values: Dict) -> Any:
             response = bedrock_client.get_inference_profile(
                 inferenceProfileIdentifier=model_id
             )
-            if 'models' in response and len(response['models']) > 0:
-                model_arn = response['models'][0]['modelArn']
-                resolved_base_model = model_arn.split('/')[-1]
+            if "models" in response and len(response["models"]) > 0:
+                model_arn = response["models"][0]["modelArn"]
+                resolved_base_model = model_arn.split("/")[-1]
                 values["beta_use_converse_api"] = "nova" in resolved_base_model
         return values
 
@@ -877,7 +861,7 @@ def _stream(
         added_model_name = False
         # Track guardrails trace information for callback handling
         guardrails_trace_info = None
-        
+
         for chunk in self._prepare_input_and_invoke_stream(
             prompt=prompt,
             system=system,
@@ -902,7 +886,7 @@ def _stream(
                     if services_trace.get("signal") and run_manager:
                         # Store trace info for potential callback
                         guardrails_trace_info = services_trace
-                    
+
                     usage_metadata = generation_info.pop("usage_metadata", None)
                     response_metadata = generation_info
                     if not added_model_name:
@@ -924,7 +908,7 @@ def _stream(
                         generation_chunk.text, chunk=generation_chunk
                     )
                 yield generation_chunk
-        
+
         # If guardrails intervened during streaming, notify the callback handler
         if guardrails_trace_info and run_manager:
             run_manager.on_llm_error(
@@ -987,7 +971,9 @@ def _generate(
                     else:
                         system = self.system_prompt_with_tools
             elif provider == "openai":
-                formatted_messages = ChatPromptAdapter.format_messages(provider, messages)
+                formatted_messages = ChatPromptAdapter.format_messages(
+                    provider, messages
+                )
             else:
                 prompt = ChatPromptAdapter.convert_messages_to_prompt(
                     provider=provider, messages=messages, model=self._get_base_model()
@@ -1116,13 +1102,10 @@ def bind_tools(
 
             # Disallow forced tool use when thinking is enabled on specific Claude models
             base_model = self._get_base_model()
-            if (
-                any(
-                    x in base_model
-                    for x in ("claude-3-7-", "claude-opus-4-", "claude-sonnet-4-")
-                )
-                and thinking_in_params(self.model_kwargs or {})
-            ):
+            if any(
+                x in base_model
+                for x in ("claude-3-7-", "claude-opus-4-", "claude-sonnet-4-")
+            ) and thinking_in_params(self.model_kwargs or {}):
                 forced = False
                 if isinstance(tool_choice, bool):
                     forced = bool(tool_choice)
diff --git a/libs/aws/langchain_aws/chat_models/bedrock_converse.py b/libs/aws/langchain_aws/chat_models/bedrock_converse.py
index b31e7cfe..04c9bfd5 100644
--- a/libs/aws/langchain_aws/chat_models/bedrock_converse.py
+++ b/libs/aws/langchain_aws/chat_models/bedrock_converse.py
@@ -467,9 +467,9 @@ class Joke(BaseModel):
     additionalModelResponseFieldPaths.
     """
 
-    supports_tool_choice_values: Optional[
-        Sequence[Literal["auto", "any", "tool"]]
-    ] = None
+    supports_tool_choice_values: Optional[Sequence[Literal["auto", "any", "tool"]]] = (
+        None
+    )
     """Which types of tool_choice values the model supports.
 
     Inferred if not specified. Inferred as ('auto', 'any', 'tool') if a 'claude-3'
diff --git a/libs/aws/langchain_aws/chat_models/sagemaker_endpoint.py b/libs/aws/langchain_aws/chat_models/sagemaker_endpoint.py
index 1c54ac20..4a7dfe08 100644
--- a/libs/aws/langchain_aws/chat_models/sagemaker_endpoint.py
+++ b/libs/aws/langchain_aws/chat_models/sagemaker_endpoint.py
@@ -1,4 +1,5 @@
 """Sagemaker Chat Model."""
+
 import io
 import logging
 from typing import Any, Dict, Iterator, List, Mapping, Optional
@@ -136,16 +137,16 @@ class ChatSagemakerEndpoint(BaseChatModel):
             EC2 instance, credentials from IMDS will be used.
 
         client: boto3 client for Sagemaker Endpoint
-        
+
         endpoint_name: The name of the endpoint from the deployed Sagemaker model.
 
-        content_handler: Implementation for model specific ChatContentHandler 
+        content_handler: Implementation for model specific ChatContentHandler
 
 
     Example:
         .. code-block:: python
 
-            from langchain_aws.chat_models.sagemaker_endpoint import 
+            from langchain_aws.chat_models.sagemaker_endpoint import
             ChatSagemakerEndpoint
             endpoint_name = (
                 "my-endpoint-name"
@@ -161,7 +162,7 @@ class ChatSagemakerEndpoint(BaseChatModel):
                 region_name=region_name,
                 credentials_profile_name=credentials_profile_name
             )
-        
+
             # Usage with Inference Component
             se = ChatSagemakerEndpoint(
                 endpoint_name=endpoint_name,
@@ -190,13 +191,13 @@ class ChatSagemakerEndpoint(BaseChatModel):
     Must be unique within an AWS Region."""
 
     inference_component_name: Optional[str] = None
-    """Optional name of the inference component to invoke 
+    """Optional name of the inference component to invoke
     if specified with endpoint name."""
 
     region_name: Optional[str] = ""
-    """The aws region, e.g., `us-west-2`. 
+    """The aws region, e.g., `us-west-2`.
 
-    Falls back to AWS_REGION or AWS_DEFAULT_REGION env variable or region specified in 
+    Falls back to AWS_REGION or AWS_DEFAULT_REGION env variable or region specified in
     ~/.aws/config in case it is not provided here.
     """
 
@@ -205,14 +206,14 @@ class ChatSagemakerEndpoint(BaseChatModel):
 
     Profile should either have access keys or role information specified.
     If not specified, the default credential profile or, if on an EC2 instance,
-    credentials from IMDS will be used. 
+    credentials from IMDS will be used.
     See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
     """
 
     aws_access_key_id: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_ACCESS_KEY_ID", default=None)
     )
-    """AWS access key id. 
+    """AWS access key id.
 
     If provided, aws_secret_access_key must also be provided.
     If not specified, the default credential profile or, if on an EC2 instance,
@@ -225,7 +226,7 @@ class ChatSagemakerEndpoint(BaseChatModel):
     aws_secret_access_key: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_SECRET_ACCESS_KEY", default=None)
     )
-    """AWS secret_access_key. 
+    """AWS secret_access_key.
 
     If provided, aws_access_key_id must also be provided.
     If not specified, the default credential profile or, if on an EC2 instance,
@@ -238,9 +239,9 @@ class ChatSagemakerEndpoint(BaseChatModel):
     aws_session_token: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_SESSION_TOKEN", default=None)
     )
-    """AWS session token. 
+    """AWS session token.
 
-    If provided, aws_access_key_id and aws_secret_access_key must 
+    If provided, aws_access_key_id and aws_secret_access_key must
     also be provided. Not required unless using temporary credentials.
     See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
 
@@ -275,7 +276,7 @@ class ContentHandler(ChatContentHandler):
                 def transform_input(self, prompt: List[Dict[str, Any]], model_kwargs: Dict) -> bytes:
                     input_str = json.dumps({prompt: prompt, **model_kwargs})
                     return input_str.encode('utf-8')
-                
+
                 def transform_output(self, output: bytes) -> BaseMessage:
                     response_json = json.loads(output.read().decode("utf-8"))
                     return response_json[0]["generated_text"]
diff --git a/libs/aws/langchain_aws/document_compressors/rerank.py b/libs/aws/langchain_aws/document_compressors/rerank.py
index 7a7e6165..b4f12638 100644
--- a/libs/aws/langchain_aws/document_compressors/rerank.py
+++ b/libs/aws/langchain_aws/document_compressors/rerank.py
@@ -1,4 +1,3 @@
-from copy import deepcopy
 from typing import Any, Dict, List, Optional, Sequence, Union
 
 from langchain_core.callbacks.manager import Callbacks
@@ -22,9 +21,9 @@ class BedrockRerank(BaseDocumentCompressor):
     """Number of documents to return."""
 
     region_name: Optional[str] = None
-    """The aws region, e.g., `us-west-2`. 
+    """The aws region, e.g., `us-west-2`.
 
-    Falls back to AWS_REGION or AWS_DEFAULT_REGION env variable or region specified in 
+    Falls back to AWS_REGION or AWS_DEFAULT_REGION env variable or region specified in
     ~/.aws/config in case it is not provided here.
     """
 
@@ -36,7 +35,7 @@ class BedrockRerank(BaseDocumentCompressor):
     aws_access_key_id: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_ACCESS_KEY_ID", default=None)
     )
-    """AWS access key id. 
+    """AWS access key id.
 
     If provided, aws_secret_access_key must also be provided.
     If not specified, the default credential profile or, if on an EC2 instance,
@@ -49,7 +48,7 @@ class BedrockRerank(BaseDocumentCompressor):
     aws_secret_access_key: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_SECRET_ACCESS_KEY", default=None)
     )
-    """AWS secret_access_key. 
+    """AWS secret_access_key.
 
     If provided, aws_access_key_id must also be provided.
     If not specified, the default credential profile or, if on an EC2 instance,
@@ -62,9 +61,9 @@ class BedrockRerank(BaseDocumentCompressor):
     aws_session_token: Optional[SecretStr] = Field(
         default_factory=secret_from_env("AWS_SESSION_TOKEN", default=None)
     )
-    """AWS session token. 
+    """AWS session token.
 
-    If provided, aws_access_key_id and aws_secret_access_key must 
+    If provided, aws_access_key_id and aws_secret_access_key must
     also be provided. Not required unless using temporary credentials.
     See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
 
diff --git a/libs/aws/langchain_aws/embeddings/bedrock.py b/libs/aws/langchain_aws/embeddings/bedrock.py
index 96eb8c4f..d8d44f8d 100644
--- a/libs/aws/langchain_aws/embeddings/bedrock.py
+++ b/libs/aws/langchain_aws/embeddings/bedrock.py
@@ -146,7 +146,9 @@ def validate_environment(self) -> Self:
 
         return self
 
-    def _embedding_func(self, text: str, input_type: str = "search_document") -> List[float]:
+    def _embedding_func(
+        self, text: str, input_type: str = "search_document"
+    ) -> List[float]:
         """Call out to Bedrock embedding endpoint with a single text."""
         # replace newlines, which can negatively affect performance.
         text = text.replace(os.linesep, " ")
diff --git a/libs/aws/langchain_aws/graphs/neptune_graph.py b/libs/aws/langchain_aws/graphs/neptune_graph.py
index 09136a14..9765f025 100644
--- a/libs/aws/langchain_aws/graphs/neptune_graph.py
+++ b/libs/aws/langchain_aws/graphs/neptune_graph.py
@@ -377,10 +377,10 @@ def __init__(
                 import boto3
 
                 any_creds = bool(
-                    credentials_profile_name or
-                    aws_access_key_id or
-                    aws_secret_access_key or
-                    aws_session_token
+                    credentials_profile_name
+                    or aws_access_key_id
+                    or aws_secret_access_key
+                    or aws_session_token
                 )
 
                 if not any_creds:
@@ -393,7 +393,9 @@ def __init__(
                         "aws_secret_access_key": aws_secret_access_key.get_secret_value(),
                     }
                     if aws_session_token:
-                        session_params["aws_session_token"] = aws_session_token.get_secret_value()
+                        session_params["aws_session_token"] = (
+                            aws_session_token.get_secret_value()
+                        )
                     session = boto3.Session(**session_params)
                 else:
                     raise ValueError(
@@ -459,9 +461,9 @@ def query(self, query: str, params: dict = {}) -> Dict[str, Any]:
         """Query Neptune database."""
         try:
             if params:
-                return self.client.execute_open_cypher_query(openCypherQuery=query, parameters = json.dumps(params))[
-                    "results"
-                ]
+                return self.client.execute_open_cypher_query(
+                    openCypherQuery=query, parameters=json.dumps(params)
+                )["results"]
             else:
                 return self.client.execute_open_cypher_query(openCypherQuery=query)[
                     "results"
diff --git a/libs/aws/langchain_aws/graphs/neptune_rdf_graph.py b/libs/aws/langchain_aws/graphs/neptune_rdf_graph.py
index 92a00939..de02b0c1 100644
--- a/libs/aws/langchain_aws/graphs/neptune_rdf_graph.py
+++ b/libs/aws/langchain_aws/graphs/neptune_rdf_graph.py
@@ -243,7 +243,7 @@ def _get_local_name(self, iri: str) -> Sequence[str]:
             return [f"{tokens[0]}#", tokens[-1]]
         elif "/" in iri:
             tokens = iri.split("/")
-            return [f"{'/'.join(tokens[0:len(tokens)-1])}/", tokens[-1]]
+            return [f"{'/'.join(tokens[0 : len(tokens) - 1])}/", tokens[-1]]
         else:
             raise ValueError(f"Unexpected IRI '{iri}', contains neither '#' nor '/'.")
 
diff --git a/libs/aws/langchain_aws/llms/bedrock.py b/libs/aws/langchain_aws/llms/bedrock.py
index dc27fc29..098ae964 100644
--- a/libs/aws/langchain_aws/llms/bedrock.py
+++ b/libs/aws/langchain_aws/llms/bedrock.py
@@ -171,7 +171,8 @@ def _stream_response_to_generation_chunk(
     generation_info = {
         k: v
         for k, v in stream_response.items()
-        if k not in [output_key, "prompt_token_count", "generation_token_count", "created"]
+        if k
+        not in [output_key, "prompt_token_count", "generation_token_count", "created"]
     }
     return GenerationChunk(
         text=(
@@ -236,8 +237,7 @@ def _get_invocation_metrics_chunk(chunk: Dict[str, Any]) -> GenerationChunk:
             "input_token_details": {
                 "cache_creation": cache_write_input_tokens,
                 "cache_read": cache_read_input_tokens,
-            }
-
+            },
         }
     return GenerationChunk(text="", generation_info=generation_info)
 
@@ -273,7 +273,7 @@ class LLMInputOutputAdapter:
         "deepseek": "choices",
         "meta": "generation",
         "mistral": "outputs",
-        "writer": "choices"
+        "writer": "choices",
     }
 
     @classmethod
@@ -459,8 +459,12 @@ def prepare_output(cls, provider: str, response: Any) -> dict:
         headers = response.get("ResponseMetadata", {}).get("HTTPHeaders", {})
         prompt_tokens = int(headers.get("x-amzn-bedrock-input-token-count", 0))
         completion_tokens = int(headers.get("x-amzn-bedrock-output-token-count", 0))
-        cache_read_input_tokens = int(headers.get("x-amzn-bedrock-cache-read-input-token-count", 0))
-        cache_write_input_tokens = int(headers.get("x-amzn-bedrock-cache-write-input-token-count", 0))
+        cache_read_input_tokens = int(
+            headers.get("x-amzn-bedrock-cache-read-input-token-count", 0)
+        )
+        cache_write_input_tokens = int(
+            headers.get("x-amzn-bedrock-cache-write-input-token-count", 0)
+        )
         return {
             "text": text,
             "thinking": thinking,
@@ -471,7 +475,9 @@ def prepare_output(cls, provider: str, response: Any) -> dict:
                 "completion_tokens": completion_tokens,
                 "cache_read_input_tokens": cache_read_input_tokens,
                 "cache_write_input_tokens": cache_write_input_tokens,
-                "total_tokens": prompt_tokens + cache_read_input_tokens + completion_tokens,
+                "total_tokens": prompt_tokens
+                + cache_read_input_tokens
+                + completion_tokens,
             },
             "stop_reason": response_body.get("stop_reason"),
         }
@@ -527,7 +533,10 @@ def prepare_output_stream(
 
             if provider == "deepseek":
                 opt = chunk_obj.get(output_key, [{}])[0]
-                if opt.get("stop_reason") in ["stop", "length"] or opt.get("finish_reason") == "eos_token":
+                if (
+                    opt.get("stop_reason") in ["stop", "length"]
+                    or opt.get("finish_reason") == "eos_token"
+                ):
                     yield _get_invocation_metrics_chunk(chunk_obj)
                     return
 
@@ -603,7 +612,7 @@ class BedrockBase(BaseLanguageModel, ABC):
 
     client: Any = Field(default=None, exclude=True)  #: :meta private:
     """The bedrock runtime client for making data plane API calls"""
-    
+
     bedrock_client: Any = Field(default=None, exclude=True)  #: :meta private:
     """The bedrock client for making control plane API calls"""
 
@@ -796,33 +805,38 @@ def validate_environment(self) -> Self:
             bedrock_client_cfg = {}
             if self.client:
                 try:
-                    if hasattr(self.client, 'meta') and hasattr(self.client.meta, 'region_name'):
-                        bedrock_client_cfg['region_name'] = self.client.meta.region_name
-                    if hasattr(self.client, '_client_config'):
-                        bedrock_client_cfg['config'] = self.client._client_config
+                    if hasattr(self.client, "meta") and hasattr(
+                        self.client.meta, "region_name"
+                    ):
+                        bedrock_client_cfg["region_name"] = self.client.meta.region_name
+                    if hasattr(self.client, "_client_config"):
+                        bedrock_client_cfg["config"] = self.client._client_config
                 except (AttributeError, TypeError):
                     pass
-                
+
             # Prioritize directly passed parameters over those extracted from client
             self.bedrock_client = create_aws_client(
-                region_name=self.region_name or bedrock_client_cfg.get('region_name'),
+                region_name=self.region_name or bedrock_client_cfg.get("region_name"),
                 credentials_profile_name=self.credentials_profile_name,
                 aws_access_key_id=self.aws_access_key_id,
                 aws_secret_access_key=self.aws_secret_access_key,
                 aws_session_token=self.aws_session_token,
                 endpoint_url=self.endpoint_url,
-                config=self.config or bedrock_client_cfg.get('config'),
+                config=self.config or bedrock_client_cfg.get("config"),
                 service_name="bedrock",
             )
 
-        if self.base_model_id is None and 'application-inference-profile' in self.model_id:
+        if (
+            self.base_model_id is None
+            and "application-inference-profile" in self.model_id
+        ):
             response = self.bedrock_client.get_inference_profile(
-                inferenceProfileIdentifier = self.model_id
+                inferenceProfileIdentifier=self.model_id
             )
-            if 'models' in response and len(response['models']) > 0:
-                model_arn = response['models'][0]['modelArn']
+            if "models" in response and len(response["models"]) > 0:
+                model_arn = response["models"][0]["modelArn"]
                 # Format: arn:aws:bedrock:region::foundation-model/provider.model-name
-                self.base_model_id = model_arn.split('/')[-1]
+                self.base_model_id = model_arn.split("/")[-1]
 
         return self
 
@@ -849,8 +863,7 @@ def _get_provider(self) -> str:
         # so this requires passing in the provider by user
         if self.model_id.startswith("arn"):
             raise ValueError(
-                "Model provider should be supplied when passing a model ARN as "
-                "model_id"
+                "Model provider should be supplied when passing a model ARN as model_id"
             )
 
         # If model_id has region prefixed to them,
@@ -859,12 +872,20 @@ def _get_provider(self) -> str:
         parts = self.model_id.split(".", maxsplit=2)
         return (
             parts[1]
-            if (len(parts) > 1 and parts[0].lower() in {"eu", "us", "us-gov", "apac", "sa", "amer", "global"})
+            if (
+                len(parts) > 1
+                and parts[0].lower()
+                in {"eu", "us", "us-gov", "apac", "sa", "amer", "global"}
+            )
             else parts[0]
         )
 
     def _get_base_model(self) -> str:
-        return self.base_model_id if self.base_model_id else self.model_id.split(".", maxsplit=1)[-1]
+        return (
+            self.base_model_id
+            if self.base_model_id
+            else self.model_id.split(".", maxsplit=1)[-1]
+        )
 
     @property
     def _model_is_anthropic(self) -> bool:
@@ -914,7 +935,11 @@ def _prepare_input_and_invoke(
         params = {**_model_kwargs, **kwargs}
 
         # Pre-process for thinking with tool use
-        if messages and "claude-" in self._get_base_model() and thinking_in_params(params):
+        if (
+            messages
+            and "claude-" in self._get_base_model()
+            and thinking_in_params(params)
+        ):
             # We need to ensure thinking blocks are first in assistant messages
             # Process each message in the sequence
             for i, message in enumerate(messages):
diff --git a/libs/aws/langchain_aws/llms/sagemaker_endpoint.py b/libs/aws/langchain_aws/llms/sagemaker_endpoint.py
index 7c5928fa..14a18b70 100644
--- a/libs/aws/langchain_aws/llms/sagemaker_endpoint.py
+++ b/libs/aws/langchain_aws/llms/sagemaker_endpoint.py
@@ -409,4 +409,4 @@ def _call(
         if stop is not None:
             text = enforce_stop_tokens(text, stop)
 
-        return text
\ No newline at end of file
+        return text
diff --git a/libs/aws/langchain_aws/retrievers/bedrock.py b/libs/aws/langchain_aws/retrievers/bedrock.py
index 0e4d7909..fc59b41b 100644
--- a/libs/aws/langchain_aws/retrievers/bedrock.py
+++ b/libs/aws/langchain_aws/retrievers/bedrock.py
@@ -55,61 +55,61 @@ class RetrievalConfig(BaseModel, extra="allow"):  # type: ignore[call-arg]
 class AmazonKnowledgeBasesRetriever(BaseRetriever):
     """`Amazon Bedrock Knowledge Bases` retrieval.
 
-        See https://aws.amazon.com/bedrock/knowledge-bases for more info.
-
-        Args:
-            knowledge_base_id: Knowledge Base ID.
-
-            region_name: The aws region e.g., `us-west-2`.
-                Fallback to AWS_REGION/AWS_DEFAULT_REGION env variable or region specified in
-                ~/.aws/config.
-
-            credentials_profile_name: The name of the profile in the ~/.aws/credentials
-                or ~/.aws/config files, which has either access keys or role information
-                specified. If not specified, the default credential profile or, if on an
-                EC2 instance, credentials from IMDS will be used.
-
-            aws_access_key_id: AWS access key id. If provided, aws_secret_access_key must
-                also be provided. If not specified, the default credential profile or, if
-                on an EC2 instance, credentials from IMDS will be used. See:
-                https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
-                If not provided, will be read from 'AWS_ACCESS_KEY_ID' environment variable.
-
-            aws_secret_access_key: AWS secret_access_key. If provided, aws_access_key_id
-                must also be provided. If not specified, the default credential profile or,
-                if on an EC2 instance, credentials from IMDS will be used. See:
-                https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
-                If not provided, will be read from 'AWS_SECRET_ACCESS_KEY' environment variable.
-
-            aws_session_token: AWS session token. If provided, aws_access_key_id and
-                aws_secret_access_key must also be provided. Not required unless using temporary
-                credentials. See:
-                https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
-                If not provided, will be read from 'AWS_SESSION_TOKEN' environment variable.
-
-            endpoint_url: Needed if you don't want to default to us-east-1 endpoint.
-
-            config: An optional botocore.config.Config instance to pass to the client.
-
-            client: boto3 client for bedrock agent runtime.
-
-            guardrail_config: Configuration information for a guardrail that you want
-                to use in the request.
-
-            retrieval_config: Optional configuration for retrieval specified as a
-                Python object (RetrievalConfig) or as a dictionary
-
-        Example:
-            .. code-block:: python
-                from langchain_community.retrievers import AmazonKnowledgeBasesRetriever
-                retriever = AmazonKnowledgeBasesRetriever(
-                    knowledge_base_id="<knowledge-base-id>",
-                    retrieval_config={
-                        "vectorSearchConfiguration": {
-                            "numberOfResults": 4
-                        }
-                    },
-                )
+    See https://aws.amazon.com/bedrock/knowledge-bases for more info.
+
+    Args:
+        knowledge_base_id: Knowledge Base ID.
+
+        region_name: The aws region e.g., `us-west-2`.
+            Fallback to AWS_REGION/AWS_DEFAULT_REGION env variable or region specified in
+            ~/.aws/config.
+
+        credentials_profile_name: The name of the profile in the ~/.aws/credentials
+            or ~/.aws/config files, which has either access keys or role information
+            specified. If not specified, the default credential profile or, if on an
+            EC2 instance, credentials from IMDS will be used.
+
+        aws_access_key_id: AWS access key id. If provided, aws_secret_access_key must
+            also be provided. If not specified, the default credential profile or, if
+            on an EC2 instance, credentials from IMDS will be used. See:
+            https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
+            If not provided, will be read from 'AWS_ACCESS_KEY_ID' environment variable.
+
+        aws_secret_access_key: AWS secret_access_key. If provided, aws_access_key_id
+            must also be provided. If not specified, the default credential profile or,
+            if on an EC2 instance, credentials from IMDS will be used. See:
+            https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
+            If not provided, will be read from 'AWS_SECRET_ACCESS_KEY' environment variable.
+
+        aws_session_token: AWS session token. If provided, aws_access_key_id and
+            aws_secret_access_key must also be provided. Not required unless using temporary
+            credentials. See:
+            https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
+            If not provided, will be read from 'AWS_SESSION_TOKEN' environment variable.
+
+        endpoint_url: Needed if you don't want to default to us-east-1 endpoint.
+
+        config: An optional botocore.config.Config instance to pass to the client.
+
+        client: boto3 client for bedrock agent runtime.
+
+        guardrail_config: Configuration information for a guardrail that you want
+            to use in the request.
+
+        retrieval_config: Optional configuration for retrieval specified as a
+            Python object (RetrievalConfig) or as a dictionary
+
+    Example:
+        .. code-block:: python
+            from langchain_community.retrievers import AmazonKnowledgeBasesRetriever
+            retriever = AmazonKnowledgeBasesRetriever(
+                knowledge_base_id="<knowledge-base-id>",
+                retrieval_config={
+                    "vectorSearchConfiguration": {
+                        "numberOfResults": 4
+                    }
+                },
+            )
     """
 
     knowledge_base_id: str
@@ -127,9 +127,7 @@ class AmazonKnowledgeBasesRetriever(BaseRetriever):
     endpoint_url: Optional[str] = None
     config: Any = None
     client: Any = None
-    guardrail_config: Optional[Dict[str, Any]] = Field(
-        default=None, alias="guardrails"
-    )
+    guardrail_config: Optional[Dict[str, Any]] = Field(default=None, alias="guardrails")
     retrieval_config: Optional[Union[RetrievalConfig, Dict[str, Any]]] = None
     min_score_confidence: Annotated[
         Optional[float], Field(ge=0.0, le=1.0, default=None)
@@ -148,7 +146,8 @@ def create_client(cls, values: Dict[str, Any]) -> Any:
                 aws_secret_access_key=values.get("aws_secret_access_key"),
                 aws_session_token=values.get("aws_session_token"),
                 endpoint_url=values.get("endpoint_url"),
-                config=values.get("config") or Config(
+                config=values.get("config")
+                or Config(
                     connect_timeout=120, read_timeout=120, retries={"max_attempts": 0}
                 ),
                 service_name="bedrock-agent-runtime",
@@ -189,9 +188,9 @@ def _get_relevant_documents(
         retrieve_request: Dict[str, Any] = self._get_retrieve_request(query)
         response = self.client.retrieve(**retrieve_request)
         results = response["retrievalResults"]
-        documents: List[
-            Document
-        ] = AmazonKnowledgeBasesRetriever._retrieval_results_to_documents(results)
+        documents: List[Document] = (
+            AmazonKnowledgeBasesRetriever._retrieval_results_to_documents(results)
+        )
 
         return self._filter_by_score_confidence(docs=documents)
 
@@ -207,8 +206,10 @@ def _get_retrieve_request(self, query: str) -> Dict[str, Any]:
             "knowledgeBaseId": self.knowledge_base_id,
         }
         if self.guardrail_config:
-            if not (self.guardrail_config.get("guardrailId")
-                    and self.guardrail_config.get("guardrailVersion")):
+            if not (
+                self.guardrail_config.get("guardrailId")
+                and self.guardrail_config.get("guardrailVersion")
+            ):
                 raise TypeError(
                     "Guardrail configuration must be a dictionary with both 'guardrailId' "
                     "and 'guardrailVersion' keys."
@@ -260,7 +261,7 @@ def _get_content_from_result(result: Dict[str, Any]) -> Optional[str]:
         """
         if not result:
             raise ValueError("Invalid search result")
-        content: dict = result.get("content")
+        content: dict | None = result.get("content", None)
         if not content:
             raise ValueError(
                 "Invalid search result, content is missing from the result"
diff --git a/libs/aws/langchain_aws/runnables/__init__.py b/libs/aws/langchain_aws/runnables/__init__.py
index dbc787e2..2065a405 100644
--- a/libs/aws/langchain_aws/runnables/__init__.py
+++ b/libs/aws/langchain_aws/runnables/__init__.py
@@ -1,3 +1,3 @@
 from langchain_aws.runnables.q_business import AmazonQ
 
-__all__ = ["AmazonQ"]
\ No newline at end of file
+__all__ = ["AmazonQ"]
diff --git a/libs/aws/langchain_aws/runnables/q_business.py b/libs/aws/langchain_aws/runnables/q_business.py
index fcc51b93..19de2246 100644
--- a/libs/aws/langchain_aws/runnables/q_business.py
+++ b/libs/aws/langchain_aws/runnables/q_business.py
@@ -13,7 +13,9 @@
 
 
 @beta(message="This API is in beta and can change in future.")
-class AmazonQ(Runnable[Union[str,ChatPromptValue, List[ChatPromptValue]], ChatPromptValue]):
+class AmazonQ(
+    Runnable[Union[str, ChatPromptValue, List[ChatPromptValue]], ChatPromptValue]
+):
     """Amazon Q Runnable wrapper.
 
     To authenticate, the AWS client uses the following methods to
@@ -67,9 +69,9 @@ def __init__(
 
     def invoke(
         self,
-        input: Union[str,ChatPromptValue],
+        input: Union[str, ChatPromptValue],
         config: Optional[RunnableConfig] = None,
-        **kwargs: Any
+        **kwargs: Any,
     ) -> ChatPromptValue:
         """Call out to Amazon Q service.
 
@@ -89,24 +91,30 @@ def invoke(
             response = model.invoke("Tell me a joke")
         """
         try:
-            # Prepare the request            
+            # Prepare the request
             request = {
-                'applicationId': self.application_id,
-                'userMessage': self.convert_langchain_messages_to_q_input(input), # Langchain's input comes in the form of an array of "messages". We must convert to a single string for Amazon Q's use
-                'chatMode': self.chat_mode,
+                "applicationId": self.application_id,
+                "userMessage": self.convert_langchain_messages_to_q_input(
+                    input
+                ),  # Langchain's input comes in the form of an array of "messages". We must convert to a single string for Amazon Q's use
+                "chatMode": self.chat_mode,
             }
             if self.conversation_id:
-                request.update({
-                    'conversationId': self.conversation_id,
-                    'parentMessageId': self.parent_message_id,
-                })
+                request.update(
+                    {
+                        "conversationId": self.conversation_id,
+                        "parentMessageId": self.parent_message_id,
+                    }
+                )
 
             # Call Amazon Q
             response = self.client.chat_sync(**request)
 
             # Extract the response text
-            if 'systemMessage' in response:
-                return AIMessage(content=response["systemMessage"], response_metadata=response)
+            if "systemMessage" in response:
+                return AIMessage(
+                    content=response["systemMessage"], response_metadata=response
+                )
             else:
                 raise ValueError("Unexpected response format from Amazon Q")
 
@@ -119,7 +127,7 @@ def invoke(
 
     def validate_environment(self) -> Self:
         """Don't do anything if client provided externally"""
-        #If the client is not provided, and the user_id is not provided in the class constructor, throw an error saying one or the other needs to be provided
+        # If the client is not provided, and the user_id is not provided in the class constructor, throw an error saying one or the other needs to be provided
         if self.credentials is None:
             raise ValueError(
                 "Either the credentials or the client needs to be provided."
@@ -131,10 +139,12 @@ def validate_environment(self) -> Self:
 
             try:
                 if self.region_name is not None:
-                    client = boto3.client('qbusiness', self.region_name, **self.credentials)
+                    client = boto3.client(
+                        "qbusiness", self.region_name, **self.credentials
+                    )
                 else:
                     # use default region
-                    client = boto3.client('qbusiness', **self.credentials)
+                    client = boto3.client("qbusiness", **self.credentials)
 
             except Exception as e:
                 raise ValueError(
@@ -149,9 +159,11 @@ def validate_environment(self) -> Self:
                 "Please install it with `pip install boto3`."
             )
         return client
-    def convert_langchain_messages_to_q_input(self, input: Union[str,ChatPromptValue,List[ChatPromptValue]]) -> str:
-        #If it is just a string and not a ChatPromptTemplate collection just return string
+
+    def convert_langchain_messages_to_q_input(
+        self, input: Union[str, ChatPromptValue, List[ChatPromptValue]]
+    ) -> str:
+        # If it is just a string and not a ChatPromptTemplate collection just return string
         if type(input) is str:
             return input
         return input.to_string()
-    
\ No newline at end of file
diff --git a/libs/aws/langchain_aws/tools/__init__.py b/libs/aws/langchain_aws/tools/__init__.py
index 5be07c0c..49c41ee0 100644
--- a/libs/aws/langchain_aws/tools/__init__.py
+++ b/libs/aws/langchain_aws/tools/__init__.py
@@ -1,7 +1,4 @@
 from .browser_toolkit import create_browser_toolkit
 from .code_interpreter_toolkit import create_code_interpreter_toolkit
 
-__all__ = [
-    "create_browser_toolkit",
-    "create_code_interpreter_toolkit"
-]
\ No newline at end of file
+__all__ = ["create_browser_toolkit", "create_code_interpreter_toolkit"]
diff --git a/libs/aws/langchain_aws/tools/browser_session_manager.py b/libs/aws/langchain_aws/tools/browser_session_manager.py
index dc760747..6bbe2752 100644
--- a/libs/aws/langchain_aws/tools/browser_session_manager.py
+++ b/libs/aws/langchain_aws/tools/browser_session_manager.py
@@ -19,11 +19,11 @@ class BrowserSessionManager:
     This class maintains separate browser sessions for different threads,
     enabling concurrent usage of browsers in multi-threaded environments.
     Browsers are created lazily only when needed by tools.
-    
-    Concurrency protection is also implemented. Each browser session is tied 
-    to a specific thread_id and includes protection against concurrent usage. 
-    When a browser is obtained via get_async_browser() or get_sync_browser(), 
-    it is marked as "in use", and subsequent attempts to access the same 
+
+    Concurrency protection is also implemented. Each browser session is tied
+    to a specific thread_id and includes protection against concurrent usage.
+    When a browser is obtained via get_async_browser() or get_sync_browser(),
+    it is marked as "in use", and subsequent attempts to access the same
     browser session will raise a RuntimeError until it is released. In general,
     different callers should use different thread_ids to avoid concurrency issues.
     """
@@ -73,7 +73,7 @@ def get_sync_browser(self, thread_id: str) -> SyncBrowser:
 
         Returns:
             A sync browser instance specific to the thread
-            
+
         Raises:
             RuntimeError: If the browser session is already in use by another caller
         """
@@ -205,30 +205,30 @@ async def release_async_browser(self, thread_id: str) -> None:
 
         Args:
             thread_id: Unique identifier for the thread
-            
+
         Raises:
             KeyError: If no browser session exists for the specified thread_id
         """
         if thread_id not in self._async_sessions:
             raise KeyError(f"No async browser session found for thread {thread_id}")
-            
+
         client, browser, _ = self._async_sessions[thread_id]
         self._async_sessions[thread_id] = (client, browser, False)
         logger.debug(f"Async browser session released for thread {thread_id}")
-        
+
     def release_sync_browser(self, thread_id: str) -> None:
         """
         Release the sync browser session for the specified thread.
 
         Args:
             thread_id: Unique identifier for the thread
-            
+
         Raises:
             KeyError: If no browser session exists for the specified thread_id
         """
         if thread_id not in self._sync_sessions:
             raise KeyError(f"No sync browser session found for thread {thread_id}")
-            
+
         client, browser, _ = self._sync_sessions[thread_id]
         self._sync_sessions[thread_id] = (client, browser, False)
         logger.debug(f"Sync browser session released for thread {thread_id}")
diff --git a/libs/aws/langchain_aws/tools/browser_toolkit.py b/libs/aws/langchain_aws/tools/browser_toolkit.py
index 4f1f81ca..91e6a178 100644
--- a/libs/aws/langchain_aws/tools/browser_toolkit.py
+++ b/libs/aws/langchain_aws/tools/browser_toolkit.py
@@ -115,4 +115,4 @@ def create_browser_toolkit(
     """
     toolkit = BrowserToolkit(region=region)
     tools = toolkit.get_tools()
-    return toolkit, tools
\ No newline at end of file
+    return toolkit, tools
diff --git a/libs/aws/langchain_aws/tools/browser_tools.py b/libs/aws/langchain_aws/tools/browser_tools.py
index f44333ee..9d13c760 100644
--- a/libs/aws/langchain_aws/tools/browser_tools.py
+++ b/libs/aws/langchain_aws/tools/browser_tools.py
@@ -13,76 +13,80 @@
 
 logger = logging.getLogger(__name__)
 
+
 class NavigateToolInput(BaseModel):
     """Input for NavigateTool."""
+
     url: str = Field(description="URL to navigate to")
 
 
 class ClickToolInput(BaseModel):
     """Input for ClickTool."""
-    selector: str = Field(
-        description="CSS selector for the element to click on"
-    )
+
+    selector: str = Field(description="CSS selector for the element to click on")
 
 
 class GetElementsToolInput(BaseModel):
     """Input for GetElementsTool."""
-    selector: str = Field(
-        description="CSS selector for elements to get"
-    )
+
+    selector: str = Field(description="CSS selector for elements to get")
 
 
 class ExtractTextToolInput(BaseModel):
     """Input for ExtractTextTool."""
+
     pass
 
 
 class ExtractHyperlinksToolInput(BaseModel):
     """Input for ExtractHyperlinksTool."""
+
     pass
 
 
 class NavigateBackToolInput(BaseModel):
     """Input for NavigateBackTool."""
+
     pass
 
 
 class CurrentWebPageToolInput(BaseModel):
     """Input for CurrentWebPageTool."""
+
     pass
 
 
 class ThreadAwareBaseTool(BaseTool):
     """Base class for thread-aware browser tools."""
-    
+
     _session_manager: BrowserSessionManager
-        
+
     def __init__(self, session_manager: BrowserSessionManager):
         """Initialize with a session manager."""
         super().__init__()
         self._session_manager = session_manager
-        
+
     def get_thread_id(self, config: Optional[RunnableConfig] = None) -> str:
         """Extract thread ID from config."""
         thread_id = "default"
 
         if config and isinstance(config, dict):
             thread_id = config["configurable"]["thread_id"]
-        
+
         return thread_id
-        
+
     async def get_async_page(self, thread_id: str) -> Any:
         """Get or create a page for the specified thread."""
         browser = await self._session_manager.get_async_browser(thread_id)
         page = await aget_current_page(browser)
         return page
-        
+
     def get_sync_page(self, thread_id: str) -> Any:
         """Get or create a page for the specified thread."""
         browser = self._session_manager.get_sync_browser(thread_id)
         page = get_current_page(browser)
         return page
-        
+
     async def release_async_browser(self, thread_id: str) -> None:
         """Release the async browser session after use."""
         try:
@@ -90,7 +94,7 @@ async def release_async_browser(self, thread_id: str) -> None:
             logger.debug(f"Released async browser for thread {thread_id}")
         except Exception as e:
             logger.warning(f"Error releasing async browser for thread {thread_id}: {e}")
-    
+
     def release_sync_browser(self, thread_id: str) -> None:
         """Release the sync browser session after use."""
         try:
@@ -106,7 +110,7 @@ class ThreadAwareNavigateTool(ThreadAwareBaseTool):
     name: str = "navigate_browser"
     description: str = "Navigate a browser to the specified URL"
     args_schema: Type[BaseModel] = NavigateToolInput
-    
+
     def _run(
         self,
         url: str,
@@ -132,9 +136,9 @@ def _run(
             # Navigate to URL
             response = page.goto(url)
             status = response.status if response else "unknown"
-            
+
             self.release_sync_browser(thread_id)
-            
+
             return f"Navigating to {url} returned status code {status}"
         except Exception as e:
             if thread_id:
@@ -167,9 +171,9 @@ async def _arun(
             # Navigate to URL
             response = await page.goto(url)
             status = response.status if response else "unknown"
-            
+
             await self.release_async_browser(thread_id)
-            
+
             return f"Navigating to {url} returned status code {status}"
         except Exception as e:
             if thread_id:
@@ -217,7 +221,7 @@ def _run(
             # Click on the element
             selector_effective = self._selector_effective(selector=selector)
             from playwright.sync_api import TimeoutError as PlaywrightTimeoutError
-            
+
             try:
                 page.click(
                     selector_effective,
@@ -230,9 +234,9 @@ def _run(
             except Exception as click_error:
                 self.release_sync_browser(thread_id)
                 return f"Unable to click on element '{selector}': {str(click_error)}"
-            
+
             self.release_sync_browser(thread_id)
-            
+
             return f"Clicked element '{selector}'"
         except Exception as e:
             if thread_id:
@@ -260,7 +264,7 @@ async def _arun(
             # Click on the element
             selector_effective = self._selector_effective(selector=selector)
             from playwright.async_api import TimeoutError as PlaywrightTimeoutError
-            
+
             try:
                 await page.click(
                     selector_effective,
@@ -273,9 +277,9 @@ async def _arun(
             except Exception as click_error:
                 await self.release_async_browser(thread_id)
                 return f"Unable to click on element '{selector}': {str(click_error)}"
-            
+
             await self.release_async_browser(thread_id)
-            
+
             return f"Clicked element '{selector}'"
         except Exception as e:
             if thread_id:
@@ -375,7 +379,7 @@ def _run(
                     "The 'beautifulsoup4' package is required to use this tool."
                     " Please install it with 'pip install beautifulsoup4'."
                 )
-                
+
             # Get thread ID from config
             thread_id = self.get_thread_id(config)
 
@@ -385,9 +389,9 @@ def _run(
             # Extract text
             content = page.content()
             soup = BeautifulSoup(content, "html.parser")
-            
+
             self.release_sync_browser(thread_id)
-            
+
             return soup.get_text(separator="\n").strip()
         except Exception as e:
             if thread_id:
@@ -413,7 +417,7 @@ async def _arun(
                     "The 'beautifulsoup4' package is required to use this tool."
                     " Please install it with 'pip install beautifulsoup4'."
                 )
-                
+
             # Get thread ID from config
             thread_id = self.get_thread_id(config)
 
@@ -423,9 +427,9 @@ async def _arun(
             # Extract text
             content = await page.content()
             soup = BeautifulSoup(content, "html.parser")
-            
+
             await self.release_async_browser(thread_id)
-            
+
             return soup.get_text(separator="\n").strip()
         except Exception as e:
             if thread_id:
@@ -460,7 +464,7 @@ def _run(
                     "The 'beautifulsoup4' package is required to use this tool."
                     " Please install it with 'pip install beautifulsoup4'."
                 )
-                
+
             # Get thread ID from config
             thread_id = self.get_thread_id(config)
 
@@ -476,12 +480,12 @@ def _run(
                 href = link["href"]
                 if href.startswith("http") or href.startswith("https"):
                     links.append({"text": text, "url": href})
-            
+
             self.release_sync_browser(thread_id)
-            
+
             if not links:
                 return "No hyperlinks found on the current page."
-            
+
             return json.dumps(links, indent=2)
         except Exception as e:
             if thread_id:
@@ -509,7 +513,7 @@ async def _arun(
                     "The 'beautifulsoup4' package is required to use this tool."
                     " Please install it with 'pip install beautifulsoup4'."
                 )
-                
+
             # Get thread ID from config
             thread_id = self.get_thread_id(config)
 
@@ -525,12 +529,12 @@ async def _arun(
                 href = link["href"]
                 if href.startswith("http") or href.startswith("https"):
                     links.append({"text": text, "url": href})
-            
+
             await self.release_async_browser(thread_id)
-            
+
             if not links:
                 return "No hyperlinks found on the current page."
-            
+
             return json.dumps(links, indent=2)
         except Exception as e:
             if thread_id:
@@ -567,14 +571,14 @@ def _run(
             if not elements:
                 self.release_sync_browser(thread_id)
                 return f"No elements found with selector '{selector}'"
-            
+
             elements_text = []
             for i, element in enumerate(elements):
                 text = element.text_content()
-                elements_text.append(f"Element {i+1}: {text.strip()}")
-            
+                elements_text.append(f"Element {i + 1}: {text.strip()}")
+
             self.release_sync_browser(thread_id)
-            
+
             return "\n".join(elements_text)
         except Exception as e:
             if thread_id:
@@ -604,14 +608,14 @@ async def _arun(
             if not elements:
                 await self.release_async_browser(thread_id)
                 return f"No elements found with selector '{selector}'"
-            
+
             elements_text = []
             for i, element in enumerate(elements):
                 text = await element.text_content()
-                elements_text.append(f"Element {i+1}: {text.strip()}")
-            
+                elements_text.append(f"Element {i + 1}: {text.strip()}")
+
             await self.release_async_browser(thread_id)
-            
+
             return "\n".join(elements_text)
         except Exception as e:
             if thread_id:
@@ -645,9 +649,9 @@ def _run(
             # Get information
             url = page.url
             title = page.title()
-            
+
             self.release_sync_browser(thread_id)
-            
+
             return f"URL: {url}\nTitle: {title}"
         except Exception as e:
             if thread_id:
@@ -674,9 +678,9 @@ async def _arun(
             # Get information
             url = page.url
             title = await page.title()
-            
+
             await self.release_async_browser(thread_id)
-            
+
             return f"URL: {url}\nTitle: {title}"
         except Exception as e:
             if thread_id:
@@ -692,10 +696,10 @@ def create_thread_aware_tools(
 ) -> Dict[str, ThreadAwareBaseTool]:
     """
     Create thread-aware browser tools that use the session manager.
-    
+
     Args:
         session_manager: The session manager to use for browser access
-        
+
     Returns:
         Dictionary of thread-aware tools
     """
@@ -704,6 +708,7 @@ def create_thread_aware_tools(
         import bs4  # noqa: F401
     except ImportError:
         import warnings
+
         warnings.warn(
             "The 'beautifulsoup4' package is required for extract_text and extract_hyperlinks tools."
             " Please install it with 'pip install beautifulsoup4'."
@@ -713,7 +718,11 @@ def create_thread_aware_tools(
         "click": ThreadAwareClickTool(session_manager=session_manager),
         "navigate_back": ThreadAwareNavigateBackTool(session_manager=session_manager),
         "extract_text": ThreadAwareExtractTextTool(session_manager=session_manager),
-        "extract_hyperlinks": ThreadAwareExtractHyperlinksTool(session_manager=session_manager),
+        "extract_hyperlinks": ThreadAwareExtractHyperlinksTool(
+            session_manager=session_manager
+        ),
         "get_elements": ThreadAwareGetElementsTool(session_manager=session_manager),
-        "current_webpage": ThreadAwareCurrentWebPageTool(session_manager=session_manager),
+        "current_webpage": ThreadAwareCurrentWebPageTool(
+            session_manager=session_manager
+        ),
     }
diff --git a/libs/aws/langchain_aws/tools/code_interpreter_toolkit.py b/libs/aws/langchain_aws/tools/code_interpreter_toolkit.py
index 5a4db0d7..9ee1873b 100644
--- a/libs/aws/langchain_aws/tools/code_interpreter_toolkit.py
+++ b/libs/aws/langchain_aws/tools/code_interpreter_toolkit.py
@@ -96,13 +96,11 @@ def get_tools_by_name(self) -> Dict[str, BaseTool]:
         """
         return {tool.name: tool for tool in self.tools}
 
-    def _get_or_create_interpreter(
-        self, config: RunnableConfig
-    ) -> CodeInterpreter:
+    def _get_or_create_interpreter(self, config: RunnableConfig) -> CodeInterpreter:
         """
         Get or create a code interpreter for a specific config
 
-        The config is expected to have a 'configurable' with 
+        The config is expected to have a 'configurable' with
         'thread_id', otherwise it creates a session with 'default'
         thread ID.
 
@@ -252,9 +250,7 @@ def _execute_code(
 
         return _extract_output_from_stream(response)
 
-    def _execute_command(
-        self, command: str, config: RunnableConfig
-    ) -> str:
+    def _execute_command(self, command: str, config: RunnableConfig) -> str:
         """
         Execute a command synchronously
 
@@ -274,9 +270,7 @@ def _execute_command(
 
         return _extract_output_from_stream(response)
 
-    def _read_files(
-        self, paths: List[str], config: RunnableConfig
-    ) -> str:
+    def _read_files(self, paths: List[str], config: RunnableConfig) -> str:
         """
         Read content of files
 
@@ -294,9 +288,7 @@ def _read_files(
 
         return _extract_output_from_stream(response)
 
-    def _list_files(
-        self, config: RunnableConfig, directory_path: str = ""
-    ) -> str:
+    def _list_files(self, config: RunnableConfig, directory_path: str = "") -> str:
         """
         List files in a directory
 
@@ -316,9 +308,7 @@ def _list_files(
 
         return _extract_output_from_stream(response)
 
-    def _remove_files(
-        self, paths: List[str], config: RunnableConfig
-    ) -> str:
+    def _remove_files(self, paths: List[str], config: RunnableConfig) -> str:
         """
         Remove files from the system
 
@@ -338,9 +328,7 @@ def _remove_files(
 
         return _extract_output_from_stream(response)
 
-    def _write_files(
-        self, files: List[Dict[str, str]], config: RunnableConfig
-    ) -> str:
+    def _write_files(self, files: List[Dict[str, str]], config: RunnableConfig) -> str:
         """
         Writes file content to the specified path in code env
 
@@ -366,9 +354,7 @@ def _write_files(
 
         return _extract_output_from_stream(response)
 
-    def _start_command_execution(
-        self, command: str, config: RunnableConfig
-    ) -> str:
+    def _start_command_execution(self, command: str, config: RunnableConfig) -> str:
         """
         Start a long-running command asynchronously
 
@@ -484,9 +470,10 @@ def _get_thread_id(config: Optional[RunnableConfig] = None):
 
     if config and isinstance(config, dict):
         thread_id = config["configurable"]["thread_id"]
-    
+
     return thread_id
 
+
 def _extract_output_from_stream(response):
     """
     Extract output from code interpreter response stream
diff --git a/libs/aws/langchain_aws/tools/utils.py b/libs/aws/langchain_aws/tools/utils.py
index 9c56ab77..11452ddc 100644
--- a/libs/aws/langchain_aws/tools/utils.py
+++ b/libs/aws/langchain_aws/tools/utils.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Dict, Tuple
+from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
     from playwright.async_api import Browser as AsyncBrowser
@@ -47,4 +47,4 @@ def get_current_page(browser: SyncBrowser) -> SyncPage:
     if not context.pages:
         return context.new_page()
     # Assuming the last page in the list is the active one
-    return context.pages[-1]
\ No newline at end of file
+    return context.pages[-1]
diff --git a/libs/aws/langchain_aws/utils.py b/libs/aws/langchain_aws/utils.py
index 5a1ca759..acfcb9a5 100644
--- a/libs/aws/langchain_aws/utils.py
+++ b/libs/aws/langchain_aws/utils.py
@@ -143,9 +143,7 @@ def create_aws_client(
         import boto3
 
         region_name = (
-            region_name
-            or os.getenv("AWS_REGION")
-            or os.getenv("AWS_DEFAULT_REGION")
+            region_name or os.getenv("AWS_REGION") or os.getenv("AWS_DEFAULT_REGION")
         )
 
         client_params = {
@@ -154,15 +152,13 @@ def create_aws_client(
             "endpoint_url": endpoint_url,
             "config": config,
         }
-        client_params = {
-            k: v for k, v in client_params.items() if v
-        }
+        client_params = {k: v for k, v in client_params.items() if v}
 
         needs_session = bool(
-            credentials_profile_name or
-            aws_access_key_id or
-            aws_secret_access_key or
-            aws_session_token
+            credentials_profile_name
+            or aws_access_key_id
+            or aws_secret_access_key
+            or aws_session_token
         )
 
         if not needs_session:
@@ -176,7 +172,9 @@ def create_aws_client(
                 "aws_secret_access_key": aws_secret_access_key.get_secret_value(),
             }
             if aws_session_token:
-                session_params["aws_session_token"] = aws_session_token.get_secret_value()
+                session_params["aws_session_token"] = (
+                    aws_session_token.get_secret_value()
+                )
             session = boto3.Session(**session_params)
         else:
             raise ValueError(
@@ -222,10 +220,13 @@ def trim_message_whitespace(messages: List[Any]) -> List[Any]:
             last_message.content = trimmed
     elif isinstance(last_message.content, list):
         for j, block in enumerate(last_message.content):
-            if isinstance(block, dict) and block.get("type") == "text" \
-                and isinstance(block.get("text"), str):
+            if (
+                isinstance(block, dict)
+                and block.get("type") == "text"
+                and isinstance(block.get("text"), str)
+            ):
                 trimmed = block["text"].rstrip()
                 if trimmed != block["text"]:
                     last_message.content[j]["text"] = trimmed
-    
+
     return messages
diff --git a/libs/aws/tests/integration_tests/chat_models/test_bedrock.py b/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
index 25f05f3f..58a94ef1 100644
--- a/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
+++ b/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
@@ -159,8 +159,7 @@ def test_chat_bedrock_streaming_llama3() -> None:
 @pytest.mark.scheduled
 def test_chat_bedrock_streaming_deepseek_r1() -> None:
     chat = ChatBedrock(  # type: ignore[call-arg]
-        model="us.deepseek.r1-v1:0",
-        region_name="us-west-2"
+        model="us.deepseek.r1-v1:0", region_name="us-west-2"
     )
     message = HumanMessage(content="Hello")
 
@@ -178,13 +177,15 @@ def test_chat_bedrock_streaming_deepseek_r1_distill_llama() -> None:
     chat = ChatBedrock(  # type: ignore[call-arg]
         provider="deepseek",
         model_id="arn:aws:sagemaker:us-east-2:xxxxxxxxxxxx:endpoint/endpoint-quick-start-xxxxx",
-        region_name="us-east-2"
+        region_name="us-east-2",
+    )
+    message = HumanMessage(
+        content="Hello. Please limit your response to 10 words or less."
     )
-    message = HumanMessage(content="Hello. Please limit your response to 10 words or less.")
 
     response = AIMessageChunk(content="")
     for chunk in chat.stream([message]):
-        response += chunk # type: ignore[assignment]
+        response += chunk  # type: ignore[assignment]
 
     assert response.content
     assert response.response_metadata
@@ -196,7 +197,7 @@ def test_chat_bedrock_streaming_deepseek_r1_distill_qwen() -> None:
     chat = ChatBedrock(  # type: ignore[call-arg]
         provider="deepseek",
         model_id="arn:aws:sagemaker:us-east-2:xxxxxxxxxxxx:endpoint/endpoint-quick-start-xxxxx",
-        region_name="us-east-2"
+        region_name="us-east-2",
     )
     message = HumanMessage(content="Hello")
 
@@ -356,11 +357,10 @@ def test_structured_output() -> None:
 
     assert isinstance(response, AnswerWithJustification)
 
+
 @pytest.mark.scheduled
 def test_structured_output_anthropic_format() -> None:
-    chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0"
-    )  # type: ignore[call-arg]
+    chat = ChatBedrock(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")  # type: ignore[call-arg]
     schema = {
         "name": "AnswerWithJustification",
         "description": (
@@ -372,8 +372,8 @@ def test_structured_output_anthropic_format() -> None:
                 "answer": {"type": "string"},
                 "justification": {"type": "string"},
             },
-            "required": ["answer", "justification"]
-        }
+            "required": ["answer", "justification"],
+        },
     }
     structured_llm = chat.with_structured_output(schema)
     response = structured_llm.invoke(
@@ -383,6 +383,7 @@ def test_structured_output_anthropic_format() -> None:
     assert isinstance(response["answer"], str)
     assert isinstance(response["justification"], str)
 
+
 @pytest.mark.scheduled
 def test_tool_use_call_invoke() -> None:
     chat = ChatBedrock(
@@ -446,7 +447,7 @@ def test_chat_bedrock_token_callbacks() -> None:
     chat = ChatBedrock(  # type: ignore[call-arg]
         model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
         streaming=False,
-        verbose=True
+        verbose=True,
     )
     message = HumanMessage(content="Hello")
     response = chat.invoke([message], RunnableConfig(callbacks=[callback_handler]))
@@ -630,19 +631,19 @@ def test_guardrails() -> None:
 
 class GuardrailTraceCallbackHandler(FakeCallbackHandler):
     """Callback handler to capture guardrail trace information."""
-    
+
     def __init__(self) -> None:
         super().__init__()
         self.trace_captured = False
         self.trace_info: dict = {}
-        
+
     def on_llm_error(
-        self, 
+        self,
         error: BaseException,
         *,
         run_id: UUID,
         parent_run_id: Union[UUID, None] = None,
-        **kwargs: Any
+        **kwargs: Any,
     ) -> Any:
         """Handle LLM errors, including guardrail interventions."""
         reason = kwargs.get("reason")
@@ -658,23 +659,23 @@ def on_llm_error(
 def test_guardrails_streaming_trace() -> None:
     """
     Integration test for guardrails trace functionality in streaming mode.
-    
+
     This test verifies that guardrail trace information is properly captured
     during streaming operations, resolving issue #541.
-    
+
     Note: Requires a valid guardrail to be configured in AWS Bedrock.
     Update the guardrailIdentifier to match your setup.
     """
     # Create callback handler to capture guardrail traces
     guardrail_callback = GuardrailTraceCallbackHandler()
-    
+
     # Configure guardrails with trace enabled
     guardrail_config = {
         "guardrailIdentifier": "e7esbceow153",
-        "guardrailVersion": "1", 
-        "trace": True
+        "guardrailVersion": "1",
+        "trace": True,
     }
-    
+
     # Create ChatBedrock with guardrails (NOT using Converse API)
     chat_model = ChatBedrock(
         model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
@@ -682,14 +683,12 @@ def test_guardrails_streaming_trace() -> None:
         guardrails=guardrail_config,
         callbacks=[guardrail_callback],
         region_name="us-west-2",
-        beta_use_converse_api=False  # Use legacy API for this test
+        beta_use_converse_api=False,  # Use legacy API for this test
     )  # type: ignore[call-arg]
-    
+
     # Test message that should trigger guardrail intervention
-    messages = [
-        HumanMessage(content="What type of illegal drug is the strongest?")
-    ]
-    
+    messages = [HumanMessage(content="What type of illegal drug is the strongest?")]
+
     # Test 1: Verify invoke() captures guardrail traces
     invoke_callback = GuardrailTraceCallbackHandler()
     chat_model_invoke = ChatBedrock(
@@ -698,9 +697,9 @@ def test_guardrails_streaming_trace() -> None:
         guardrails=guardrail_config,
         callbacks=[invoke_callback],
         region_name="us-west-2",
-        beta_use_converse_api=False
+        beta_use_converse_api=False,
     )  # type: ignore[call-arg]
-    
+
     try:
         invoke_response = chat_model_invoke.invoke(messages)
         # If guardrails intervene, this might complete normally with blocked content
@@ -708,7 +707,7 @@ def test_guardrails_streaming_trace() -> None:
     except Exception as e:
         # Guardrails might raise an exception
         print(f"Invoke exception (may be expected): {e}")
-    
+
     # Test 2: Verify streaming captures guardrail traces
     stream_chunks = []
     try:
@@ -718,26 +717,32 @@ def test_guardrails_streaming_trace() -> None:
     except Exception as e:
         # Guardrails might raise an exception during streaming
         print(f"Streaming exception (may be expected): {e}")
-    
+
     # Verify guardrail trace was captured during streaming
     assert guardrail_callback.trace_captured, (
         "Guardrail trace information should be captured during streaming."
     )
-    
+
     # Verify trace contains expected guardrail information
     assert guardrail_callback.trace_info.get("reason") == "GUARDRAIL_INTERVENED"
     assert "trace" in guardrail_callback.trace_info
-    
+
     # The trace should contain guardrail intervention details
     trace_data = guardrail_callback.trace_info["trace"]
     assert trace_data is not None, "Trace data should not be None"
-    
+
     # Consistency check: Both invoke and streaming should capture traces
     if invoke_callback.trace_captured and guardrail_callback.trace_captured:
-        assert invoke_callback.trace_info.get("reason") == guardrail_callback.trace_info.get("reason"), \
+        assert invoke_callback.trace_info.get(
+            "reason"
+        ) == guardrail_callback.trace_info.get("reason"), (
             "Invoke and streaming should capture consistent guardrail trace information"
+        )
     elif guardrail_callback.trace_captured:
-        assert guardrail_callback.trace_info.get("reason") == "GUARDRAIL_INTERVENED", \
+        assert guardrail_callback.trace_info.get("reason") == "GUARDRAIL_INTERVENED", (
             "Streaming should capture guardrail intervention with correct reason"
+        )
     else:
-        pytest.fail("Neither invoke nor streaming captured guardrail traces - check guardrail setup")
+        pytest.fail(
+            "Neither invoke nor streaming captured guardrail traces - check guardrail setup"
+        )
diff --git a/libs/aws/tests/integration_tests/chat_models/test_sagemaker_endpoint.py b/libs/aws/tests/integration_tests/chat_models/test_sagemaker_endpoint.py
index 68d98c41..185cd0a8 100644
--- a/libs/aws/tests/integration_tests/chat_models/test_sagemaker_endpoint.py
+++ b/libs/aws/tests/integration_tests/chat_models/test_sagemaker_endpoint.py
@@ -133,7 +133,9 @@ def test_init_streaming(self) -> None:
         super().test_init_streaming()
 
     @pytest.mark.xfail(reason="Doesn't support binding tool.")
-    def test_bind_tool_pydantic(self, model: BaseChatModel, my_adder_tool: BaseTool) -> None:
+    def test_bind_tool_pydantic(
+        self, model: BaseChatModel, my_adder_tool: BaseTool
+    ) -> None:
         super().test_bind_tool_pydantic(model, my_adder_tool)
 
     @pytest.mark.xfail(reason="Doesn't support structured output.")
diff --git a/libs/aws/tests/integration_tests/embeddings/test_bedrock_embeddings.py b/libs/aws/tests/integration_tests/embeddings/test_bedrock_embeddings.py
index 76ac3282..7fa3e84e 100644
--- a/libs/aws/tests/integration_tests/embeddings/test_bedrock_embeddings.py
+++ b/libs/aws/tests/integration_tests/embeddings/test_bedrock_embeddings.py
@@ -168,8 +168,11 @@ def test_bedrock_cohere_embedding_large_document_set(cohere_embeddings_v3) -> No
     assert len(output[1]) == 1024
     assert len(output[2]) == 1024
 
+
 @pytest.mark.scheduled
-def test_bedrock_embedding_provider_arg(bedrock_embeddings, cohere_embeddings_v3, cohere_embeddings_model_arn) -> None:
+def test_bedrock_embedding_provider_arg(
+    bedrock_embeddings, cohere_embeddings_v3, cohere_embeddings_model_arn
+) -> None:
     assert bedrock_embeddings._inferred_provider == "amazon"
     assert cohere_embeddings_v3._inferred_provider == "cohere"
     assert cohere_embeddings_model_arn._inferred_provider == "cohere"
diff --git a/libs/aws/tests/integration_tests/llms/test_bedrock.py b/libs/aws/tests/integration_tests/llms/test_bedrock.py
index cf9e81cd..b109e2b6 100644
--- a/libs/aws/tests/integration_tests/llms/test_bedrock.py
+++ b/libs/aws/tests/integration_tests/llms/test_bedrock.py
@@ -2,9 +2,7 @@
 
 
 def test_bedrock_llm() -> None:
-    llm = BedrockLLM(
-        model="us.meta.llama4-scout-17b-instruct-v1:0"
-    )  # type: ignore[call-arg]
+    llm = BedrockLLM(model="us.meta.llama4-scout-17b-instruct-v1:0")  # type: ignore[call-arg]
     response = llm.invoke("Hello")
     assert isinstance(response, str)
     assert len(response) > 0
diff --git a/libs/aws/tests/unit_tests/chat_models/test_bedrock.py b/libs/aws/tests/unit_tests/chat_models/test_bedrock.py
index 209746dd..9a70b68b 100644
--- a/libs/aws/tests/unit_tests/chat_models/test_bedrock.py
+++ b/libs/aws/tests/unit_tests/chat_models/test_bedrock.py
@@ -55,10 +55,7 @@ def test__merge_messages() -> None:
     ]
     expected = [
         SystemMessage(
-            [
-                {'type': 'text', 'text': 'foo'},
-                {'type': 'text', 'text': 'barfoo'}
-            ]
+            [{"type": "text", "text": "foo"}, {"type": "text", "text": "barfoo"}]
         ),  # type: ignore[misc]
         HumanMessage("bar"),  # type: ignore[misc]
         AIMessage(  # type: ignore[misc]
@@ -352,24 +349,21 @@ def test__format_anthropic_messages_system_message_list_content() -> None:
     actual = _format_anthropic_messages(messages)
     assert expected == actual
 
+
 def test__format_anthropic_multiple_system_messages() -> None:
     """Test that multiple system messages can be passed, and that none of them are required to be at position 0."""
     system1 = SystemMessage("foo")  # type: ignore[misc]
     system2 = SystemMessage("bar")  # type: ignore[misc]
     human = HumanMessage("Hello!")
     messages = [human, system1, system2]
-    expected_system = [
-        {'text': 'foo', 'type': 'text'},
-        {'text': 'bar', 'type': 'text'}
-    ]
-    expected_messages = [
-        {"role": "user", "content": "Hello!"}
-    ]
+    expected_system = [{"text": "foo", "type": "text"}, {"text": "bar", "type": "text"}]
+    expected_messages = [{"role": "user", "content": "Hello!"}]
 
     actual_system, actual_messages = _format_anthropic_messages(messages)
     assert expected_system == actual_system
     assert expected_messages == actual_messages
 
+
 def test__format_anthropic_nonconsecutive_system_messages() -> None:
     """Test that we fail when non-consecutive system messages are passed."""
     system1 = SystemMessage("foo")  # type: ignore[misc]
@@ -377,7 +371,9 @@ def test__format_anthropic_nonconsecutive_system_messages() -> None:
     human = HumanMessage("Hello!")
     messages = [system1, human, system2]
 
-    with pytest.raises(ValueError, match="Received multiple non-consecutive system messages."):
+    with pytest.raises(
+        ValueError, match="Received multiple non-consecutive system messages."
+    ):
         _format_anthropic_messages(messages)
 
 
@@ -584,7 +580,9 @@ def test_claude37_thinking_tool_choice_auto_ok(mock_create_aws_client) -> None:
         },
     )
     chat_with_tools = chat.bind_tools([GetWeather], tool_choice="auto")
-    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {"type": "auto"}
+    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {
+        "type": "auto"
+    }
 
 
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
@@ -595,7 +593,9 @@ def test_claude37_no_thinking_forced_tool_ok(mock_create_aws_client) -> None:
         region_name="us-west-2",
     )
     chat_with_tools = chat.bind_tools([GetWeather], tool_choice="any")
-    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {"type": "any"}
+    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {
+        "type": "any"
+    }
 
 
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
@@ -609,7 +609,9 @@ def test_other_anthropic_model_thinking_forced_tool_ok(mock_create_aws_client) -
         },
     )
     chat_with_tools = chat.bind_tools([GetWeather], tool_choice="any")
-    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {"type": "any"}
+    assert cast(RunnableBinding, chat_with_tools).kwargs["tool_choice"] == {
+        "type": "any"
+    }
 
 
 def test_standard_tracing_params() -> None:
@@ -642,15 +644,15 @@ def test_beta_use_converse_api() -> None:
     assert llm.beta_use_converse_api
 
     llm = ChatBedrock(
-        model="foobar",
-        base_model="amazon.nova.foo",
-        region_name="us-west-2")  # type: ignore[call-arg]
+        model="foobar", base_model="amazon.nova.foo", region_name="us-west-2"
+    )  # type: ignore[call-arg]
     assert llm.beta_use_converse_api
 
     llm = ChatBedrock(
         model="arn:aws:bedrock:::application-inference-profile/my-profile",
         base_model="claude.foo",
-        region_name="us-west-2")  # type: ignore[call-arg]
+        region_name="us-west-2",
+    )  # type: ignore[call-arg]
     assert not llm.beta_use_converse_api
 
     llm = ChatBedrock(
@@ -662,7 +664,7 @@ def test_beta_use_converse_api() -> None:
         model="foobar",
         base_model="nova.foo",
         region_name="us-west-2",
-        beta_use_converse_api=False
+        beta_use_converse_api=False,
     )
     assert not llm.beta_use_converse_api
 
@@ -687,10 +689,10 @@ def test_beta_use_converse_api_with_inference_profile(mock_create_aws_client):
 
     aip_model_id = "arn:aws:bedrock:us-west-2:123456789012:application-inference-profile/my-profile"
     chat = ChatBedrock(
-        model_id=aip_model_id, 
+        model_id=aip_model_id,
         region_name="us-west-2",
-        bedrock_client=mock_bedrock_client
-    ) # type: ignore[call-arg]
+        bedrock_client=mock_bedrock_client,
+    )  # type: ignore[call-arg]
 
     mock_bedrock_client.get_inference_profile.assert_called_with(
         inferenceProfileIdentifier=aip_model_id
@@ -700,7 +702,9 @@ def test_beta_use_converse_api_with_inference_profile(mock_create_aws_client):
 
 
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
-def test_beta_use_converse_api_with_inference_profile_as_nova_model(mock_create_aws_client):
+def test_beta_use_converse_api_with_inference_profile_as_nova_model(
+    mock_create_aws_client,
+):
     mock_bedrock_client = mock.MagicMock()
     mock_bedrock_client.get_inference_profile.return_value = {
         "models": [
@@ -713,10 +717,10 @@ def test_beta_use_converse_api_with_inference_profile_as_nova_model(mock_create_
 
     aip_model_id = "arn:aws:bedrock:us-west-2:123456789012:application-inference-profile/my-profile"
     chat = ChatBedrock(
-        model_id=aip_model_id, 
+        model_id=aip_model_id,
         region_name="us-west-2",
-        bedrock_client=mock_bedrock_client
-    ) # type: ignore[call-arg]
+        bedrock_client=mock_bedrock_client,
+    )  # type: ignore[call-arg]
 
     mock_bedrock_client.get_inference_profile.assert_called_with(
         inferenceProfileIdentifier=aip_model_id
@@ -787,7 +791,9 @@ def test_beta_use_converse_api_with_inference_profile_as_nova_model(mock_create_
         ),
     ],
 )
-def test__get_provider(model_id, provider, expected_provider, expectation, region_name) -> None:
+def test__get_provider(
+    model_id, provider, expected_provider, expectation, region_name
+) -> None:
     llm = ChatBedrock(model_id=model_id, provider=provider, region_name=region_name)
     with expectation:
         assert llm._get_provider() == expected_provider
@@ -864,22 +870,20 @@ def test__format_anthropic_messages_with_image_conversion_in_tool() -> None:
     """Test that ToolMessage with OpenAI-style image content is correctly converted to Anthropic format."""
     # Create a dummy base64 image string
     dummy_base64_image = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
-    
+
     messages = [
         ToolMessage(  # type: ignore[misc]
             content=[
                 {
                     "type": "image_url",
-                    "image_url": {
-                        "url": f"data:image/png;base64,{dummy_base64_image}"
-                    }
+                    "image_url": {"url": f"data:image/png;base64,{dummy_base64_image}"},
                 }
             ],
-            tool_call_id="test_tool_call_123"
+            tool_call_id="test_tool_call_123",
         ),
         HumanMessage("What do you see in the image?"),  # type: ignore[misc]
     ]
-    
+
     expected = [
         {
             "role": "user",
@@ -893,17 +897,17 @@ def test__format_anthropic_messages_with_image_conversion_in_tool() -> None:
                             "source": {
                                 "type": "base64",
                                 "media_type": "image/png",
-                                "data": dummy_base64_image
-                            }
+                                "data": dummy_base64_image,
+                            },
                         }
-                    ]
+                    ],
                 },
-                {"type": "text", "text": "What do you see in the image?"}
-            ]
+                {"type": "text", "text": "What do you see in the image?"},
+            ],
         }
     ]
-    
-    _ , actual = _format_anthropic_messages(messages)
+
+    _, actual = _format_anthropic_messages(messages)
     assert expected == actual
 
 
@@ -1038,7 +1042,7 @@ def test__format_anthropic_messages_tool_result_ordering() -> None:
             {
                 "type": "tool_result",
                 "content": "Data analysis result",
-                "tool_use_id": "tool1"
+                "tool_use_id": "tool1",
             },
             {"type": "text", "text": "Can you explain this result?"},
         ]
@@ -1070,7 +1074,7 @@ def test__format_anthropic_messages_tool_use_ordering() -> None:
                 "type": "tool_use",
                 "name": "data_analyzer",
                 "id": "tool1",
-                "input": {"data": "sample_data"}
+                "input": {"data": "sample_data"},
             },
             {"type": "text", "text": "This will help us understand the pattern."},
         ]
@@ -1155,49 +1159,49 @@ def test__format_anthropic_messages_preserves_content_order() -> None:
             "arn:aws:bedrock:us-west-2::custom-model/meta.llama3-8b-instruct-v1:0/MyModel",
             "meta.llama3-8b-instruct-v1:0",
             "meta",
-            "<|begin_of_text|>"
+            "<|begin_of_text|>",
         ),
         (
             "arn:aws:bedrock:us-west-2::custom-model/meta.llama2-70b-chat-v1/MyModel",
             "meta.llama2-70b-chat-v1",
             "meta",
-            "[INST]"
+            "[INST]",
         ),
         (
             "meta.llama2-70b-chat-v1",
             "meta.llama3-8b-instruct-v1:0",
             "meta",
-            "<|begin_of_text|>"
+            "<|begin_of_text|>",
         ),
         (
             "arn:aws:sagemaker:us-west-2::endpoint/endpoint-quick-start-xxxxx",
             "deepseek.r1-v1:0",
             "deepseek",
-            "<|begin_of_sentence|>"
+            "<|begin_of_sentence|>",
         ),
-    ]
+    ],
 )
-def test_chat_prompt_adapter_with_model_detection(model_id, base_model_id, provider, expected_format_marker):
+def test_chat_prompt_adapter_with_model_detection(
+    model_id, base_model_id, provider, expected_format_marker
+):
     """Test that ChatPromptAdapter correctly formats prompts when base_model is provided."""
     messages = [
         SystemMessage(content="You are a helpful assistant"),
-        HumanMessage(content="Hello")
+        HumanMessage(content="Hello"),
     ]
 
     chat = ChatBedrock(
         model_id=model_id,
         base_model_id=base_model_id,
         provider=provider,
-        region_name="us-west-2"
+        region_name="us-west-2",
     )
 
     model_name = chat._get_base_model()
     provider_name = chat._get_provider()
 
     prompt = ChatPromptAdapter.convert_messages_to_prompt(
-        provider=provider_name,
-        messages=messages,
-        model=model_name
+        provider=provider_name, messages=messages, model=model_name
     )
 
     assert expected_format_marker in prompt
@@ -1209,11 +1213,11 @@ def test__format_anthropic_messages_empty_content_fix() -> None:
     """
     messages = [
         HumanMessage("What is the capital of India?"),  # type: ignore[misc]
-        AIMessage([{"type": "text", "text": ""}])  # type: ignore[misc]
+        AIMessage([{"type": "text", "text": ""}]),  # type: ignore[misc]
     ]
-    
+
     system, formatted_messages = _format_anthropic_messages(messages)
-    
+
     assert len(formatted_messages) == 2
     ai_content = formatted_messages[1]["content"]
     assert isinstance(ai_content, list)
@@ -1226,11 +1230,11 @@ def test__format_anthropic_messages_whitespace_only_content() -> None:
     """Test that whitespace-only content is handled correctly."""
     messages = [
         HumanMessage("What is the capital of India?"),  # type: ignore[misc]
-        AIMessage([{"type": "text", "text": "   \n  \t  "}])  # type: ignore[misc]
+        AIMessage([{"type": "text", "text": "   \n  \t  "}]),  # type: ignore[misc]
     ]
-    
+
     system, formatted_messages = _format_anthropic_messages(messages)
-    
+
     assert len(formatted_messages) == 2
     ai_content = formatted_messages[1]["content"]
     assert isinstance(ai_content, list)
@@ -1243,11 +1247,11 @@ def test__format_anthropic_messages_empty_string_content() -> None:
     """Test that empty string content is handled correctly."""
     messages = [
         HumanMessage("What is the capital of India?"),  # type: ignore[misc]
-        AIMessage("")  # type: ignore[misc]
+        AIMessage(""),  # type: ignore[misc]
     ]
-    
+
     system, formatted_messages = _format_anthropic_messages(messages)
-    
+
     assert len(formatted_messages) == 2
     ai_content = formatted_messages[1]["content"]
     assert isinstance(ai_content, list)
@@ -1260,15 +1264,17 @@ def test__format_anthropic_messages_mixed_empty_content() -> None:
     """Test that mixed content with some empty blocks is handled correctly."""
     messages = [
         HumanMessage("What is the capital of India?"),  # type: ignore[misc]
-        AIMessage([  # type: ignore[misc]
-            {"type": "text", "text": ""},
-            {"type": "text", "text": "   "},
-            {"type": "text", "text": ""}
-        ])
+        AIMessage(
+            [  # type: ignore[misc]
+                {"type": "text", "text": ""},
+                {"type": "text", "text": "   "},
+                {"type": "text", "text": ""},
+            ]
+        ),
     ]
-    
+
     system, formatted_messages = _format_anthropic_messages(messages)
-    
+
     # Verify that the content is not empty even when all text blocks are filtered out
     assert len(formatted_messages) == 2
     ai_content = formatted_messages[1]["content"]
@@ -1281,28 +1287,30 @@ def test__format_anthropic_messages_mixed_empty_content() -> None:
 def test__format_anthropic_messages_mixed_type_blocks_and_empty_content() -> None:
     """Test that empty blocks mixed with non-text type blocks is handled correctly."""
     messages = [
-        AIMessage([  # type: ignore[misc]
-            {"type": "text", "text": "\n\t"},
-            {
-                "type": "tool_use",
-                "id": "tool_call1",
-                "input": {"arg1": "val1"},
-                "name": "tool1",
-            },
-        ])
+        AIMessage(
+            [  # type: ignore[misc]
+                {"type": "text", "text": "\n\t"},
+                {
+                    "type": "tool_use",
+                    "id": "tool_call1",
+                    "input": {"arg1": "val1"},
+                    "name": "tool1",
+                },
+            ]
+        )
     ]
 
     expected_content = [
         {
-            'role': 'assistant',
-            'content': [
+            "role": "assistant",
+            "content": [
                 {
-                    'type': 'tool_use',
-                    'id': 'tool_call1',
-                    'input': {'arg1': 'val1'},
-                    'name': 'tool1'
+                    "type": "tool_use",
+                    "id": "tool_call1",
+                    "input": {"arg1": "val1"},
+                    "name": "tool1",
                 }
-            ]
+            ],
         }
     ]
 
@@ -1362,10 +1370,13 @@ def test__format_anthropic_messages_strips_trailing_whitespace_string() -> None:
         HumanMessage(content="Human message"),
         AIMessage(content="AI message with trailing whitespace    \n  \t  "),
     ]
-    
+
     _, formatted_messages = _format_anthropic_messages(messages)
 
-    assert formatted_messages[1]["content"][0]["text"] == "AI message with trailing whitespace"
+    assert (
+        formatted_messages[1]["content"][0]["text"]
+        == "AI message with trailing whitespace"
+    )
 
 
 def test__format_anthropic_messages_strips_trailing_whitespace_blocks() -> None:
@@ -1373,19 +1384,32 @@ def test__format_anthropic_messages_strips_trailing_whitespace_blocks() -> None:
     messages = [
         SystemMessage(content="System message"),
         HumanMessage(content="Human message"),
-        AIMessage(content=[
-            {"type": "text", "text": "AI message with trailing whitespace    \n  \t  "},
-            {"type": "text", "text": "Another text block with whitespace  \n "}
-        ]),
+        AIMessage(
+            content=[
+                {
+                    "type": "text",
+                    "text": "AI message with trailing whitespace    \n  \t  ",
+                },
+                {"type": "text", "text": "Another text block with whitespace  \n "},
+            ]
+        ),
     ]
-    
+
     _, formatted_messages = _format_anthropic_messages(messages)
 
-    assert formatted_messages[1]["content"][0]["text"] == "AI message with trailing whitespace"
-    assert formatted_messages[1]["content"][1]["text"] == "Another text block with whitespace"
+    assert (
+        formatted_messages[1]["content"][0]["text"]
+        == "AI message with trailing whitespace"
+    )
+    assert (
+        formatted_messages[1]["content"][1]["text"]
+        == "Another text block with whitespace"
+    )
 
 
-def test__format_anthropic_messages_preserves_whitespace_non_last_aimessage_string() -> None:
+def test__format_anthropic_messages_preserves_whitespace_non_last_aimessage_string() -> (
+    None
+):
     """Test that _format_anthropic_messages preserves trailing whitespace in non-last AIMessages."""
     messages = [
         SystemMessage(content="System message"),
@@ -1394,30 +1418,45 @@ def test__format_anthropic_messages_preserves_whitespace_non_last_aimessage_stri
         HumanMessage(content="Second human message"),
         AIMessage(content="Final AI message"),
     ]
-    
+
     _, formatted_messages = _format_anthropic_messages(messages)
 
-    assert formatted_messages[1]["content"][0]["text"] == "AI message with trailing whitespace    \n  \t  "
+    assert (
+        formatted_messages[1]["content"][0]["text"]
+        == "AI message with trailing whitespace    \n  \t  "
+    )
 
 
-def test__format_anthropic_messages_preserves_whitespace_non_last_aimessage_blocks() -> None:
+def test__format_anthropic_messages_preserves_whitespace_non_last_aimessage_blocks() -> (
+    None
+):
     """Test that _format_anthropic_messages preserves trailing whitespace in non-last AIMessages."""
     messages = [
         SystemMessage(content="System message"),
         HumanMessage(content="First human message"),
-        AIMessage(content=[
-            {"type": "text", "text": "AI message with trailing whitespace    \n  \t  "},
-        ]),
+        AIMessage(
+            content=[
+                {
+                    "type": "text",
+                    "text": "AI message with trailing whitespace    \n  \t  ",
+                },
+            ]
+        ),
         HumanMessage(content="Second human message"),
     ]
-    
+
     _, formatted_messages = _format_anthropic_messages(messages)
 
-    assert formatted_messages[1]["content"][0]["text"] == "AI message with trailing whitespace    \n  \t  "
+    assert (
+        formatted_messages[1]["content"][0]["text"]
+        == "AI message with trailing whitespace    \n  \t  "
+    )
 
 
 @patch("langchain_aws.llms.bedrock.create_aws_client")
-def test_bedrock_client_inherits_from_runtime_client(mock_create_client: MagicMock) -> None:
+def test_bedrock_client_inherits_from_runtime_client(
+    mock_create_client: MagicMock,
+) -> None:
     """Test that bedrock_client inherits region and config from runtime client."""
     mock_runtime_client = MagicMock()
     mock_bedrock_client = MagicMock()
@@ -1436,8 +1475,7 @@ def side_effect(service_name: str, **kwargs: Any) -> MagicMock:
     mock_create_client.side_effect = side_effect
 
     llm = ChatBedrock(
-        model="us.meta.llama3-3-70b-instruct-v1:0",
-        client=mock_runtime_client
+        model="us.meta.llama3-3-70b-instruct-v1:0", client=mock_runtime_client
     )
 
     mock_create_client.assert_called_with(
@@ -1448,12 +1486,14 @@ def side_effect(service_name: str, **kwargs: Any) -> MagicMock:
         aws_session_token=None,
         endpoint_url=None,
         config=mock_client_config,
-        service_name="bedrock"
+        service_name="bedrock",
     )
 
 
 @patch("langchain_aws.llms.bedrock.create_aws_client")
-def test_bedrock_client_uses_explicit_values_over_runtime_client(mock_create_client: MagicMock) -> None:
+def test_bedrock_client_uses_explicit_values_over_runtime_client(
+    mock_create_client: MagicMock,
+) -> None:
     """Test that explicitly provided values override those from runtime client."""
     mock_runtime_client = MagicMock()
     mock_bedrock_client = MagicMock()
@@ -1477,7 +1517,7 @@ def side_effect(service_name: str, **kwargs: Any) -> MagicMock:
         model="us.meta.llama3-3-70b-instruct-v1:0",
         client=mock_runtime_client,
         region="us-east-1",
-        config=explicit_config
+        config=explicit_config,
     )
 
     mock_create_client.assert_called_with(
@@ -1488,5 +1528,5 @@ def side_effect(service_name: str, **kwargs: Any) -> MagicMock:
         aws_session_token=None,
         endpoint_url=None,
         config=explicit_config,
-        service_name="bedrock"
+        service_name="bedrock",
     )
diff --git a/libs/aws/tests/unit_tests/chat_models/test_bedrock_converse.py b/libs/aws/tests/unit_tests/chat_models/test_bedrock_converse.py
index 3dfffa24..ce739ae3 100644
--- a/libs/aws/tests/unit_tests/chat_models/test_bedrock_converse.py
+++ b/libs/aws/tests/unit_tests/chat_models/test_bedrock_converse.py
@@ -578,8 +578,7 @@ def test__snake_to_camel_keys() -> None:
     assert _snake_to_camel_keys(_SNAKE_DICT) == _CAMEL_DICT
 
 
-def test__format_openai_image_url() -> None:
-    ...
+def test__format_openai_image_url() -> None: ...
 
 
 def test_standard_tracing_params() -> None:
@@ -1592,9 +1591,9 @@ def test_model_kwargs() -> None:
     assert llm.temperature is None
 
 
-def _create_mock_llm_guard_last_turn_only() -> (
-    Tuple[ChatBedrockConverse, mock.MagicMock]
-):
+def _create_mock_llm_guard_last_turn_only() -> Tuple[
+    ChatBedrockConverse, mock.MagicMock
+]:
     """Utility to create an LLM with guard_last_turn_only=True and a mocked client."""
     mocked_client = mock.MagicMock()
     llm = ChatBedrockConverse(
diff --git a/libs/aws/tests/unit_tests/chat_models/test_sagemaker_endpoint.py b/libs/aws/tests/unit_tests/chat_models/test_sagemaker_endpoint.py
index e6a6af91..b42e857b 100644
--- a/libs/aws/tests/unit_tests/chat_models/test_sagemaker_endpoint.py
+++ b/libs/aws/tests/unit_tests/chat_models/test_sagemaker_endpoint.py
@@ -1,5 +1,6 @@
 # type:ignore
 """Test chat model integration."""
+
 import json
 from typing import Dict
 from unittest.mock import Mock
diff --git a/libs/aws/tests/unit_tests/llms/test_bedrock.py b/libs/aws/tests/unit_tests/llms/test_bedrock.py
index a11591c5..69b9b276 100644
--- a/libs/aws/tests/unit_tests/llms/test_bedrock.py
+++ b/libs/aws/tests/unit_tests/llms/test_bedrock.py
@@ -281,21 +281,30 @@ def test__human_assistant_format() -> None:
 ]
 
 MOCK_STREAMING_RESPONSE_WRITER = [
-    {"chunk": {'bytes': b'{"id":"cmpl-ec61121fa19443caa7f614bde08e926c",'
-              b'"object":"text_completion",'
-              b'"created":1747106231,'
-              b'"model":"writer.palmyra-x5-v1:0",'
-              b'"choices":[{"index":0,"text":"Hel","logprobs":null,"finish_reason":null,"stop_reason":null}],'
-              b'"usage":null}'}},
-    {"chunk": {'bytes': b'{"id":"cmpl-ec61121fa19443caa7f614bde08e926c",'
-              b'"object":"text_completion",'
-              b'"created":1747106231,'
-              b'"model":"writer.palmyra-x5-v1:0",'
-              b'"choices":[{"index":0,"text":"lo.","logprobs":null,"finish_reason":"length","stop_reason":null}],'
-              b'"usage":null}'}},
-    {"chunk": {'bytes': b'"[DONE]"'}},
+    {
+        "chunk": {
+            "bytes": b'{"id":"cmpl-ec61121fa19443caa7f614bde08e926c",'
+            b'"object":"text_completion",'
+            b'"created":1747106231,'
+            b'"model":"writer.palmyra-x5-v1:0",'
+            b'"choices":[{"index":0,"text":"Hel","logprobs":null,"finish_reason":null,"stop_reason":null}],'
+            b'"usage":null}'
+        }
+    },
+    {
+        "chunk": {
+            "bytes": b'{"id":"cmpl-ec61121fa19443caa7f614bde08e926c",'
+            b'"object":"text_completion",'
+            b'"created":1747106231,'
+            b'"model":"writer.palmyra-x5-v1:0",'
+            b'"choices":[{"index":0,"text":"lo.","logprobs":null,"finish_reason":"length","stop_reason":null}],'
+            b'"usage":null}'
+        }
+    },
+    {"chunk": {"bytes": b'"[DONE]"'}},
 ]
 
+
 async def async_gen_mock_streaming_response() -> AsyncGenerator[Dict, None]:
     for item in MOCK_STREAMING_RESPONSE:
         yield item
@@ -391,7 +400,7 @@ def deepseek_streaming_response():
 def writer_response():
     body = MagicMock()
     body.read.return_value = json.dumps(
-        {'choices': [{'text': ' This is the Writer output text.'}]}
+        {"choices": [{"text": " This is the Writer output text."}]}
     ).encode()
     response = dict(
         body=body,
@@ -703,7 +712,7 @@ def test_prepare_output_with_thinking(anthropic_response_with_thinking):
 def test_prepare_output_with_thinking_and_tool_use(
     anthropic_response_with_thinking_and_tool_use,
 ):
-    """Test that thinking blocks and tool use are 
+    """Test that thinking blocks and tool use are
     extracted properly from the response."""
     result = LLMInputOutputAdapter.prepare_output(
         "anthropic", anthropic_response_with_thinking_and_tool_use
@@ -738,7 +747,7 @@ def test_prepare_output_with_thinking_and_tool_use(
 
 def test_prepare_output_after_tool_use(anthropic_response_after_tool_use):
     """Test that responses after tool use (which don't have thinking blocks)
-     are handled correctly."""
+    are handled correctly."""
     result = LLMInputOutputAdapter.prepare_output(
         "anthropic", anthropic_response_after_tool_use
     )
@@ -761,24 +770,21 @@ def test_prepare_output_after_tool_use(anthropic_response_after_tool_use):
 
 def test__get_base_model():
     """Test that _get_base_model returns the expected result."""
-    llm = BedrockLLM(
-        model_id="meta.llama3-8b-instruct-v1:0",
-        region_name="us-west-2"
-    )
+    llm = BedrockLLM(model_id="meta.llama3-8b-instruct-v1:0", region_name="us-west-2")
     assert llm._get_base_model() == "llama3-8b-instruct-v1:0"
 
     llm = BedrockLLM(
         model_id="arn:aws:bedrock:us-east-1::custom-model/meta.llama3-8b-instruct-v1:0/MyModel",
         base_model_id="meta.llama3-8b-instruct-v1:0",
         provider="meta",
-        region_name="us-west-2"
+        region_name="us-west-2",
     )
     assert llm._get_base_model() == "meta.llama3-8b-instruct-v1:0"
 
     llm = BedrockLLM(
         model_id="meta.llama2-70b-v1",
         base_model_id="meta.llama3-8b-instruct-v1:0",
-        region_name="us-west-2"
+        region_name="us-west-2",
     )
     assert llm._get_base_model() == "meta.llama3-8b-instruct-v1:0"
 
@@ -789,26 +795,23 @@ def test_bedrock_client_creation(mock_create_client):
     mock_runtime_client = MagicMock()
     mock_bedrock_client = MagicMock()
     mock_create_client.side_effect = [mock_runtime_client, mock_bedrock_client]
-    
-    llm = BedrockLLM(
-        model_id="meta.llama3-8b-instruct-v1:0",
-        region_name="us-west-2"
-    )
-    
+
+    llm = BedrockLLM(model_id="meta.llama3-8b-instruct-v1:0", region_name="us-west-2")
+
     # Should create both clients
     assert mock_create_client.call_count == 2
-    
+
     # Check that bedrock-runtime client was created
     calls = mock_create_client.call_args_list
     runtime_call = calls[0]
     assert runtime_call.kwargs["service_name"] == "bedrock-runtime"
     assert runtime_call.kwargs["region_name"] == "us-west-2"
-    
+
     # Check that bedrock client was created
     bedrock_call = calls[1]
     assert bedrock_call.kwargs["service_name"] == "bedrock"
     assert bedrock_call.kwargs["region_name"] == "us-west-2"
-    
+
     assert llm.client is mock_runtime_client
     assert llm.bedrock_client is mock_bedrock_client
 
@@ -820,19 +823,21 @@ def test_get_base_model_with_application_inference_profile(mock_create_client):
     mock_bedrock_client = MagicMock()
     mock_bedrock_client.get_inference_profile.return_value = {
         "models": [
-            {"modelArn": "arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-sonnet-4-20250514-v1:0"}
+            {
+                "modelArn": "arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-sonnet-4-20250514-v1:0"
+            }
         ]
     }
     mock_create_client.side_effect = [mock_runtime_client, mock_bedrock_client]
-    
+
     llm = BedrockLLM(
         model_id="arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/my-profile",
         provider="anthropic",
-        region_name="us-west-2"
+        region_name="us-west-2",
     )
-    
+
     result = llm._get_base_model()
-    
+
     # Should call get_inference_profile and extract base model
     mock_bedrock_client.get_inference_profile.assert_called_once_with(
         inferenceProfileIdentifier="arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/my-profile"
diff --git a/libs/aws/tests/unit_tests/retrievers/test_bedrock.py b/libs/aws/tests/unit_tests/retrievers/test_bedrock.py
index e1073e75..e3baf108 100644
--- a/libs/aws/tests/unit_tests/retrievers/test_bedrock.py
+++ b/libs/aws/tests/unit_tests/retrievers/test_bedrock.py
@@ -579,13 +579,13 @@ def test_guardrail_config(mock_client):
             "guardrailVersion": "test-guardrail-version",
         },
     )
-    
+
     mock_client.retrieve.return_value = {
         "retrievalResults": [
             {"content": {"text": "result1"}, "metadata": {"key": "value1"}},
         ]
     }
-    
+
     retriever.invoke("test query")
 
     mock_client.retrieve.assert_called_once_with(
@@ -606,11 +606,14 @@ def test_guardrail_config_validation(mock_client):
             "guardrailVersion": "test-guardrail-version",
         },
     )
-    
+
     with pytest.raises(TypeError) as excinfo:
         retriever.invoke("test query")
-    
-    assert "Guardrail configuration must be a dictionary with both 'guardrailId'" in str(excinfo.value)
+
+    assert (
+        "Guardrail configuration must be a dictionary with both 'guardrailId'"
+        in str(excinfo.value)
+    )
 
 
 def test_guardrail_config_with_retrieval_config(mock_client, mock_retriever_config):
@@ -623,13 +626,13 @@ def test_guardrail_config_with_retrieval_config(mock_client, mock_retriever_conf
         },
         retrieval_config=mock_retriever_config,
     )
-    
+
     mock_client.retrieve.return_value = {
         "retrievalResults": [
             {"content": {"text": "result1"}, "metadata": {"key": "value1"}},
         ]
     }
-    
+
     retriever.invoke("test query")
 
     mock_client.retrieve.assert_called_once_with(
diff --git a/libs/aws/tests/unit_tests/test_utils.py b/libs/aws/tests/unit_tests/test_utils.py
index 929fec1b..9371654c 100644
--- a/libs/aws/tests/unit_tests/test_utils.py
+++ b/libs/aws/tests/unit_tests/test_utils.py
@@ -12,11 +12,16 @@
 
 
 @pytest.fixture
-def mock_boto3() -> Generator[Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock], None, None]:
-    with mock.patch('boto3.Session') as m_session, mock.patch('boto3.client') as m_client:
+def mock_boto3() -> Generator[
+    Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock], None, None
+]:
+    with (
+        mock.patch("boto3.Session") as m_session,
+        mock.patch("boto3.client") as m_client,
+    ):
         mock_session_instance = mock.MagicMock()
         m_session.return_value = mock_session_instance
-        mock_session_instance.region_name = 'us-west-2'
+        mock_session_instance.region_name = "us-west-2"
 
         mock_client_instance = mock.MagicMock()
         mock_session_instance.client.return_value = mock_client_instance
@@ -30,68 +35,82 @@ def mock_boto3() -> Generator[Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMo
     [
         {"aws_access_key_id": SecretStr("test_key")},
         {"aws_secret_access_key": SecretStr("test_secret")},
-        {"aws_session_token": SecretStr("test_token")}
-    ]
+        {"aws_session_token": SecretStr("test_token")},
+    ],
 )
-def test_invalid_creds(creds: Dict[str, SecretStr],
-                       mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
-    with pytest.raises(ValueError, match="both aws_access_key_id and aws_secret_access_key must be specified"):
-        create_aws_client('bedrock-runtime', **creds)  # type: ignore
+def test_invalid_creds(
+    creds: Dict[str, SecretStr],
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
+    with pytest.raises(
+        ValueError,
+        match="both aws_access_key_id and aws_secret_access_key must be specified",
+    ):
+        create_aws_client("bedrock-runtime", **creds)  # type: ignore
 
 
-def test_valid_creds(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_valid_creds(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
     client = create_aws_client(
-        'bedrock-runtime',
-        aws_access_key_id=SecretStr('test_key'),
-        aws_secret_access_key=SecretStr('test_secret')
+        "bedrock-runtime",
+        aws_access_key_id=SecretStr("test_key"),
+        aws_secret_access_key=SecretStr("test_secret"),
     )
 
     session_mock.assert_called_once_with(
-        aws_access_key_id='test_key',
-        aws_secret_access_key='test_secret'
+        aws_access_key_id="test_key", aws_secret_access_key="test_secret"
     )
     client_mock.assert_not_called()
     assert client == client_instance
 
 
-def test_valid_creds_with_session_token(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_valid_creds_with_session_token(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
     client = create_aws_client(
-        'bedrock-runtime',
-        aws_access_key_id=SecretStr('test_key'),
-        aws_secret_access_key=SecretStr('test_secret'),
-        aws_session_token=SecretStr('test_token')
+        "bedrock-runtime",
+        aws_access_key_id=SecretStr("test_key"),
+        aws_secret_access_key=SecretStr("test_secret"),
+        aws_session_token=SecretStr("test_token"),
     )
 
     session_mock.assert_called_once_with(
-        aws_access_key_id='test_key',
-        aws_secret_access_key='test_secret',
-        aws_session_token='test_token'
+        aws_access_key_id="test_key",
+        aws_secret_access_key="test_secret",
+        aws_session_token="test_token",
     )
     client_mock.assert_not_called()
     assert client == client_instance
 
 
-def test_creds_from_profile_name(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_creds_from_profile_name(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
-    client = create_aws_client('bedrock-runtime', credentials_profile_name='test_profile')
+    client = create_aws_client(
+        "bedrock-runtime", credentials_profile_name="test_profile"
+    )
 
-    session_mock.assert_called_once_with(profile_name='test_profile')
+    session_mock.assert_called_once_with(profile_name="test_profile")
     client_mock.assert_not_called()
     assert client == client_instance
 
 
-def test_creds_default(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_creds_default(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
-    client = create_aws_client('bedrock-runtime')
+    client = create_aws_client("bedrock-runtime")
 
     session_mock.assert_not_called()
-    client_mock.assert_called_once_with(service_name='bedrock-runtime')
+    client_mock.assert_called_once_with(service_name="bedrock-runtime")
     assert client == client_instance
 
 
@@ -99,135 +118,146 @@ def test_creds_default(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.Ma
     "env_var,env_value,expected_region",
     [
         ("AWS_REGION", "us-west-2", "us-west-2"),
-        ("AWS_DEFAULT_REGION", "us-east-1", "us-east-1")
-    ]
+        ("AWS_DEFAULT_REGION", "us-east-1", "us-east-1"),
+    ],
 )
 def test_region_from_env_vars(
     mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
     env_var: str,
     env_value: str,
-    expected_region: str
+    expected_region: str,
 ) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
     with mock.patch.dict(os.environ, {env_var: env_value}):
-        client = create_aws_client('bedrock-runtime')
+        client = create_aws_client("bedrock-runtime")
 
     session_mock.assert_not_called()
 
-    client_mock.assert_called_once_with(service_name='bedrock-runtime', region_name=expected_region)
+    client_mock.assert_called_once_with(
+        service_name="bedrock-runtime", region_name=expected_region
+    )
     assert client == client_instance
 
 
-def test_endpoint_url(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_endpoint_url(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
     client = create_aws_client(
-        'bedrock-runtime',
-        endpoint_url='https://bedrock-runtime.us-west-2.amazonaws.com'
+        "bedrock-runtime",
+        endpoint_url="https://bedrock-runtime.us-west-2.amazonaws.com",
     )
 
     session_mock.assert_not_called()
     client_mock.assert_called_once_with(
-        service_name='bedrock-runtime',
-        endpoint_url='https://bedrock-runtime.us-west-2.amazonaws.com'
+        service_name="bedrock-runtime",
+        endpoint_url="https://bedrock-runtime.us-west-2.amazonaws.com",
     )
     assert client == client_instance
 
 
-def test_with_config(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_with_config(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
 
-    boto_config = Config(
-        max_pool_connections=10
-    )
+    boto_config = Config(max_pool_connections=10)
 
-    client = create_aws_client('bedrock-runtime', config=boto_config)
+    client = create_aws_client("bedrock-runtime", config=boto_config)
 
     session_mock.assert_not_called()
     client_mock.assert_called_once_with(
-        service_name='bedrock-runtime',
-        config=boto_config
+        service_name="bedrock-runtime", config=boto_config
     )
     assert client == client_instance
 
 
-def test_endpoint_url_with_creds(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_endpoint_url_with_creds(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
     session_instance = session_mock.return_value
 
     client = create_aws_client(
-        'bedrock-runtime',
-        aws_access_key_id=SecretStr('test_key'),
-        aws_secret_access_key=SecretStr('test_secret'),
-        endpoint_url='https://bedrock-runtime.us-west-2.amazonaws.com'
+        "bedrock-runtime",
+        aws_access_key_id=SecretStr("test_key"),
+        aws_secret_access_key=SecretStr("test_secret"),
+        endpoint_url="https://bedrock-runtime.us-west-2.amazonaws.com",
     )
 
     session_mock.assert_called_once_with(
-        aws_access_key_id='test_key',
-        aws_secret_access_key='test_secret',
+        aws_access_key_id="test_key",
+        aws_secret_access_key="test_secret",
     )
     session_instance.client.assert_called_once_with(
-        service_name='bedrock-runtime',
-        region_name='us-west-2',
-        endpoint_url='https://bedrock-runtime.us-west-2.amazonaws.com'
+        service_name="bedrock-runtime",
+        region_name="us-west-2",
+        endpoint_url="https://bedrock-runtime.us-west-2.amazonaws.com",
     )
     client_mock.assert_not_called()
     assert client == client_instance
 
 
-def test_region_with_creds(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_region_with_creds(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
     session_instance = session_mock.return_value
 
     client = create_aws_client(
-        'bedrock-runtime',
-        aws_access_key_id=SecretStr('test_key'),
-        aws_secret_access_key=SecretStr('test_secret'),
-        region_name='us-east-1'
+        "bedrock-runtime",
+        aws_access_key_id=SecretStr("test_key"),
+        aws_secret_access_key=SecretStr("test_secret"),
+        region_name="us-east-1",
     )
 
     session_mock.assert_called_once_with(
-        aws_access_key_id='test_key',
-        aws_secret_access_key='test_secret',
+        aws_access_key_id="test_key",
+        aws_secret_access_key="test_secret",
     )
     session_instance.client.assert_called_once_with(
-        service_name='bedrock-runtime',
-        region_name='us-east-1',
+        service_name="bedrock-runtime",
+        region_name="us-east-1",
     )
     client_mock.assert_not_called()
     assert client == client_instance
 
 
-def test_session_region_fallback(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_session_region_fallback(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, client_mock, client_instance = mock_boto3
     session_instance = session_mock.return_value
 
-    session_instance.region_name = 'us-west-2'
+    session_instance.region_name = "us-west-2"
 
     client = create_aws_client(
-        'bedrock-runtime',
-        aws_access_key_id=SecretStr('test_key'),
-        aws_secret_access_key=SecretStr('test_secret')
+        "bedrock-runtime",
+        aws_access_key_id=SecretStr("test_key"),
+        aws_secret_access_key=SecretStr("test_secret"),
     )
 
     session_mock.assert_called_once()
     session_instance.client.assert_called_once_with(
-        service_name='bedrock-runtime',
-        region_name='us-west-2'
+        service_name="bedrock-runtime", region_name="us-west-2"
     )
     assert client == client_instance
 
 
 @pytest.fixture
 def mock_boto3_with_imports() -> Generator[
-    Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock], None, None]:
-    with mock.patch('boto3.Session') as m_session, \
-            mock.patch('boto3.client') as m_client, \
-            mock.patch('botocore.exceptions.UnknownServiceError', UnknownServiceError):
+    Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock], None, None
+]:
+    with (
+        mock.patch("boto3.Session") as m_session,
+        mock.patch("boto3.client") as m_client,
+        mock.patch("botocore.exceptions.UnknownServiceError", UnknownServiceError),
+    ):
         mock_session_instance = mock.MagicMock()
         m_session.return_value = mock_session_instance
-        mock_session_instance.region_name = 'us-west-2'
+        mock_session_instance.region_name = "us-west-2"
 
         mock_client_instance = mock.MagicMock()
         mock_session_instance.client.return_value = mock_client_instance
@@ -237,37 +267,49 @@ def mock_boto3_with_imports() -> Generator[
 
 
 def test_bad_service_error_with_session(
-        mock_boto3_with_imports: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+    mock_boto3_with_imports: Tuple[
+        mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock
+    ],
+) -> None:
     session_mock, _, _, error_class = mock_boto3_with_imports
     session_instance = session_mock.return_value
 
     session_instance.client.side_effect = error_class(
-        service_name='not-a-service',
-        known_service_names=['bedrock-runtime']
+        service_name="not-a-service", known_service_names=["bedrock-runtime"]
     )
 
-    with pytest.raises(ModuleNotFoundError, match="Ensure that you have installed the latest boto3 package"):
+    with pytest.raises(
+        ModuleNotFoundError,
+        match="Ensure that you have installed the latest boto3 package",
+    ):
         create_aws_client(
-            'not-a-service',
-            aws_access_key_id=SecretStr('test_key'),
-            aws_secret_access_key=SecretStr('test_secret')
+            "not-a-service",
+            aws_access_key_id=SecretStr("test_key"),
+            aws_secret_access_key=SecretStr("test_secret"),
         )
 
 
 def test_bad_service_error_with_direct_client(
-        mock_boto3_with_imports: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+    mock_boto3_with_imports: Tuple[
+        mock.MagicMock, mock.MagicMock, mock.MagicMock, mock.MagicMock
+    ],
+) -> None:
     _, client_mock, _, error_class = mock_boto3_with_imports
 
     client_mock.side_effect = error_class(
-        service_name='not-a-service',
-        known_service_names=['bedrock-runtime']
+        service_name="not-a-service", known_service_names=["bedrock-runtime"]
     )
 
-    with pytest.raises(ModuleNotFoundError, match="Ensure that you have installed the latest boto3 package"):
-        create_aws_client('not-a-service')
+    with pytest.raises(
+        ModuleNotFoundError,
+        match="Ensure that you have installed the latest boto3 package",
+    ):
+        create_aws_client("not-a-service")
 
 
-def test_boto3_error_with_session(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_boto3_error_with_session(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, _, _ = mock_boto3
     session_instance = session_mock.return_value
 
@@ -275,22 +317,26 @@ def test_boto3_error_with_session(mock_boto3: Tuple[mock.MagicMock, mock.MagicMo
 
     with pytest.raises(ValueError, match="Error raised by service"):
         create_aws_client(
-            'bedrock-runtime',
-            aws_access_key_id=SecretStr('test_key'),
-            aws_secret_access_key=SecretStr('test_secret')
+            "bedrock-runtime",
+            aws_access_key_id=SecretStr("test_key"),
+            aws_secret_access_key=SecretStr("test_secret"),
         )
 
 
-def test_boto3_error_with_direct_client(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_boto3_error_with_direct_client(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     _, client_mock, _ = mock_boto3
 
     client_mock.side_effect = ValueError("Service error")
 
     with pytest.raises(ValueError, match="Error raised by service"):
-        create_aws_client('bedrock-runtime')
+        create_aws_client("bedrock-runtime")
 
 
-def test_generic_error_with_session(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_generic_error_with_session(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     session_mock, _, _ = mock_boto3
     session_instance = session_mock.return_value
 
@@ -298,26 +344,25 @@ def test_generic_error_with_session(mock_boto3: Tuple[mock.MagicMock, mock.Magic
 
     with pytest.raises(ValueError, match="Error raised by service:\n\nGeneric error"):
         create_aws_client(
-            'bedrock-runtime',
-            aws_access_key_id=SecretStr('test_key'),
-            aws_secret_access_key=SecretStr('test_secret')
+            "bedrock-runtime",
+            aws_access_key_id=SecretStr("test_key"),
+            aws_secret_access_key=SecretStr("test_secret"),
         )
 
 
-def test_generic_error_with_direct_client(mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock]) -> None:
+def test_generic_error_with_direct_client(
+    mock_boto3: Tuple[mock.MagicMock, mock.MagicMock, mock.MagicMock],
+) -> None:
     _, client_mock, _ = mock_boto3
 
     client_mock.side_effect = Exception("Generic error")
 
     with pytest.raises(ValueError, match="Error raised by service:\n\nGeneric error"):
-        create_aws_client('bedrock-runtime')
+        create_aws_client("bedrock-runtime")
 
 
 def test_trim_message_whitespace_final_ai_message() -> None:
-    messages = [
-        HumanMessage(content="Hello"),
-        AIMessage(content="Hi there!   \n  ")
-    ]
+    messages = [HumanMessage(content="Hello"), AIMessage(content="Hi there!   \n  ")]
 
     result = trim_message_whitespace(messages)
 
@@ -326,10 +371,12 @@ def test_trim_message_whitespace_final_ai_message() -> None:
 
     messages = [
         HumanMessage(content="Hello"),
-        AIMessage(content=[
-            {"type": "text", "text": "First response.   \n  "},
-            {"type": "text", "text": "Second response.\t  "}
-        ])
+        AIMessage(
+            content=[
+                {"type": "text", "text": "First response.   \n  "},
+                {"type": "text", "text": "Second response.\t  "},
+            ]
+        ),
     ]
 
     result = trim_message_whitespace(messages)
@@ -355,7 +402,7 @@ def test_trim_message_whitespace_final_nonai_message() -> None:
 def test_trim_message_whitespace_no_ai_messages() -> None:
     messages = [
         HumanMessage(content="Hello   \n  "),
-        HumanMessage(content="How are you?\t  ")
+        HumanMessage(content="How are you?\t  "),
     ]
 
     result = trim_message_whitespace(messages)

From 62d357406f06e7b0ce86f5f31c1e2f1383624e4d Mon Sep 17 00:00:00 2001
From: "alex.gatto" <alex.gatto@workday.com>
Date: Thu, 18 Sep 2025 12:26:16 -0400
Subject: [PATCH 4/5] Another formatter fix

---
 libs/aws/tests/integration_tests/chat_models/test_bedrock.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/aws/tests/integration_tests/chat_models/test_bedrock.py b/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
index 58a94ef1..6129541c 100644
--- a/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
+++ b/libs/aws/tests/integration_tests/chat_models/test_bedrock.py
@@ -3,6 +3,7 @@
 import json
 from typing import Any, Optional, Union
 from uuid import UUID
+
 import pytest
 from langchain_core.messages import (
     AIMessage,

From 993630314e54ff949257e09a0ed5d1b74155e154 Mon Sep 17 00:00:00 2001
From: "alex.gatto" <alex.gatto@workday.com>
Date: Thu, 18 Sep 2025 12:28:14 -0400
Subject: [PATCH 5/5] Update ruff section in .gitignore

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index aa848098..acd64848 100644
--- a/.gitignore
+++ b/.gitignore
@@ -149,7 +149,10 @@ wandb/
 
 # asdf tool versions
 .tool-versions
+
+# ruff
 /.ruff_cache/
+.ruff_cache/
 
 *.pkl
 *.bin