chore: use new anthropic models

libs/aws/langchain_aws/chat_models/bedrock_converse.py

@@ -274,7 +274,7 @@ class Joke(BaseModel):
         }
 
         model = ChatBedrockConverse(
-            model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+            model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
             max_tokens=5000,
             region_name="us-west-2",
             additional_model_request_fields=thinking_params,

libs/aws/pyproject.toml

@@ -20,7 +20,7 @@ readme = "README.md"
 
 [project.urls]
 "Source Code" = "https://github.com/langchain-ai/langchain-aws/tree/main/libs/aws"
-repository = "https://github.com/langchain-ai/langchain-aws"
+Repository = "https://github.com/langchain-ai/langchain-aws"
 
 [project.optional-dependencies]
 tools = ["bedrock-agentcore>=0.1.0; python_version>='3.10'", "playwright>=1.53.0", "beautifulsoup4>=4.13.4"]

libs/aws/tests/integration_tests/chat_models/test_bedrock.py

@@ -26,7 +26,7 @@
 @pytest.fixture
 def chat() -> ChatBedrock:
     return ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0},
     )  # type: ignore[call-arg]
 
@@ -84,7 +84,7 @@ def test_chat_bedrock_generate_with_token_usage(chat: ChatBedrock) -> None:
 def test_chat_bedrock_streaming() -> None:
     """Test that streaming correctly streams chunks."""
     chat = ChatBedrock(  # type: ignore[call-arg]
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0"
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0"
     )
     message = HumanMessage(content="Hello")
     stream = chat.stream([message])
@@ -101,7 +101,7 @@ def test_chat_bedrock_streaming() -> None:
 @pytest.mark.scheduled
 def test_chat_bedrock_token_counts() -> None:
     chat = ChatBedrock(  # type: ignore[call-arg]
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0},
     )
     invoke_response = chat.invoke("hi", max_tokens=6)
@@ -117,7 +117,7 @@ def test_chat_bedrock_token_counts() -> None:
     assert stream_response.usage_metadata is not None
     assert stream_response.usage_metadata["output_tokens"] <= 6
     model_name = stream_response.response_metadata["model_name"]
-    assert model_name == "us.anthropic.claude-3-7-sonnet-20250219-v1:0"
+    assert model_name == "us.anthropic.claude-sonnet-4-5-20250929-v1:0"
 
 
 @pytest.mark.scheduled
@@ -230,7 +230,7 @@ def on_llm_end(
 
     callback = _FakeCallback()
     chat = ChatBedrock(  # type: ignore[call-arg]
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         callbacks=[callback],
         model_kwargs={"temperature": 0},
     )
@@ -244,7 +244,7 @@ def on_llm_end(
 @pytest.mark.parametrize(
     "model",
     [
-        "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "mistral.mistral-7b-instruct-v0:2",
     ],
 )
@@ -269,7 +269,7 @@ def test_bedrock_streaming(model: str) -> None:
 @pytest.mark.parametrize(
     "model",
     [
-        "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "mistral.mistral-7b-instruct-v0:2",
     ],
 )
@@ -337,7 +337,7 @@ def test_bedrock_invoke(chat: ChatBedrock) -> None:
 def test_get_num_tokens_from_messages_integration() -> None:
     """Test get_num_tokens_from_messages with both message formats."""
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
     )
 
     base_messages = [
@@ -367,7 +367,7 @@ class AnswerWithJustification(BaseModel):
 @pytest.mark.scheduled
 def test_structured_output() -> None:
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0.001},
     )  # type: ignore[call-arg]
     structured_llm = chat.with_structured_output(AnswerWithJustification)
@@ -381,7 +381,7 @@ def test_structured_output() -> None:
 
 @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-sonnet-4-5-20250929-v1:0")  # type: ignore[call-arg]
     schema = {
         "name": "AnswerWithJustification",
         "description": (
@@ -416,7 +416,7 @@ class Joke(TypedDict):
 @pytest.mark.scheduled
 def test_structured_output_streaming_dict() -> None:
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         temperature=0.0,
         streaming=True,
     )
@@ -445,7 +445,7 @@ class JokePyd(BaseModel):
 @pytest.mark.scheduled
 def test_structured_output_streaming_pydantic() -> None:
     model = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         temperature=0.0,
         streaming=True,
     )
@@ -464,7 +464,7 @@ def test_structured_output_streaming_pydantic() -> None:
 @pytest.mark.scheduled
 def test_tool_use_call_invoke() -> None:
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0.001},
     )  # type: ignore[call-arg]
 
@@ -501,7 +501,7 @@ def test_tool_use_call_invoke() -> None:
 @pytest.mark.parametrize("tool_choice", ["GetWeather", "auto", "any"])
 def test_anthropic_bind_tools_tool_choice(tool_choice: str) -> None:
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0.001},
     )  # type: ignore[call-arg]
     chat_model_with_tools = chat.bind_tools([GetWeather], tool_choice=tool_choice)
@@ -519,7 +519,7 @@ def test_chat_bedrock_token_callbacks() -> None:
     """Test that streaming correctly invokes on_llm_end and stores token counts and stop reason."""  # noqa: E501
     callback_handler = FakeCallbackHandlerWithTokenCounts()
     chat = ChatBedrock(  # type: ignore[call-arg]
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         streaming=False,
         verbose=True,
     )
@@ -746,7 +746,7 @@ def test_citations_bedrock(output_version: Literal["v0", "v1"]) -> None:
 def test_guardrails() -> None:
     params = {
         "region_name": "us-west-2",
-        "model": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "model": "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "guardrails": {
             "guardrailIdentifier": "e7esbceow153",
             "guardrailVersion": "1",
@@ -837,7 +837,7 @@ def test_guardrails_streaming_trace() -> None:
 
     # Create ChatBedrock with guardrails (NOT using Converse API)
     chat_model = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0},
         guardrails=guardrail_config,
         callbacks=[guardrail_callback],
@@ -851,7 +851,7 @@ def test_guardrails_streaming_trace() -> None:
     # Test 1: Verify invoke() captures guardrail traces
     invoke_callback = GuardrailTraceCallbackHandler()
     chat_model_invoke = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         model_kwargs={"temperature": 0},
         guardrails=guardrail_config,
         callbacks=[invoke_callback],

libs/aws/tests/integration_tests/chat_models/test_bedrock_converse.py

@@ -31,7 +31,7 @@ def chat_model_class(self) -> Type[BaseChatModel]:
 
     @property
     def chat_model_params(self) -> dict:
-        return {"model": "us.anthropic.claude-3-7-sonnet-20250219-v1:0"}
+        return {"model": "us.anthropic.claude-sonnet-4-5-20250929-v1:0"}
 
     @property
     def standard_chat_model_params(self) -> dict:
@@ -195,7 +195,7 @@ def test_tool_message_histories_list_content(
 
 def test_multiple_system_messages_anthropic() -> None:
     model = ChatBedrockConverse(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0", temperature=0
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0", temperature=0
     )
 
     system1 = SystemMessage(content="You are a helpful assistant.")
@@ -217,7 +217,7 @@ class ClassifyQuery(BaseModel):
 
 def test_structured_output_snake_case() -> None:
     model = ChatBedrockConverse(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0", temperature=0
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0", temperature=0
     )
 
     chat = model.with_structured_output(ClassifyQuery)
@@ -226,7 +226,7 @@ def test_structured_output_snake_case() -> None:
 
 
 def test_tool_calling_snake_case() -> None:
-    model = ChatBedrockConverse(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+    model = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-5-20250929-v1:0")
 
     def classify_query(query_type: Literal["cat", "dog"]) -> None:
         pass
@@ -258,7 +258,7 @@ def classify_query(query_type: Literal["cat", "dog"]) -> None:
 
 
 def test_tool_calling_camel_case() -> None:
-    model = ChatBedrockConverse(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+    model = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-5-20250929-v1:0")
 
     def classifyQuery(queryType: Literal["cat", "dog"]) -> None:
         pass
@@ -284,7 +284,7 @@ def classifyQuery(queryType: Literal["cat", "dog"]) -> None:
 
 def test_structured_output_streaming() -> None:
     model = ChatBedrockConverse(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0", temperature=0
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0", temperature=0
     )
     query = (
         "What weighs more, a pound of bricks or a pound of feathers? "
@@ -354,7 +354,7 @@ class ToolClass(BaseModel):
 
     # Create the model instance
     model = ChatBedrockConverse(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0", temperature=0
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0", temperature=0
     )
 
     # Create cache point configuration
@@ -381,7 +381,7 @@ class ToolClass(BaseModel):
 def test_guardrails() -> None:
     params = {
         "region_name": "us-west-2",
-        "model": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "model": "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "temperature": 0,
         "max_tokens": 100,
         "stop": [],
@@ -428,7 +428,7 @@ def test_guardrails() -> None:
 @pytest.mark.parametrize(
     "thinking_model",
     [
-        "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "us.anthropic.claude-sonnet-4-20250514-v1:0",
         "us.anthropic.claude-opus-4-20250514-v1:0",
         "us.anthropic.claude-opus-4-1-20250805-v1:0",
@@ -470,15 +470,15 @@ def test_structured_output_thinking_force_tool_use() -> None:
     # be removed.
 
     # Instantiate as convenience for getting client
-    llm = ChatBedrockConverse(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+    llm = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-5-20250929-v1:0")
     messages = [
         {
             "role": "user",
             "content": [{"text": "Generate a username for Sally with green hair"}],
         }
     ]
     params = {
-        "modelId": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "modelId": "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         "inferenceConfig": {"maxTokens": 5000},
         "toolConfig": {
             "tools": [
@@ -762,7 +762,7 @@ def test_citations_v1(output_version: Literal["v0", "v1"]) -> None:
 
 @pytest.mark.vcr
 def test_pdf_citations() -> None:
-    model = ChatBedrockConverse(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+    model = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-5-20250929-v1:0")
 
     message = HumanMessage(
         [
@@ -775,7 +775,7 @@ def test_pdf_citations() -> None:
 
 
 def test_bedrock_pdf_inputs() -> None:
-    model = ChatBedrockConverse(model="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+    model = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-5-20250929-v1:0")
 
     message = HumanMessage(
         [
@@ -806,7 +806,7 @@ def test_bedrock_pdf_inputs() -> None:
 
 def test_get_num_tokens_from_messages_integration() -> None:
     chat = ChatBedrockConverse(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
     )
 
     base_messages = [

libs/aws/tests/integration_tests/chat_models/test_standard.py

@@ -39,7 +39,7 @@ def chat_model_class(self) -> Type[BaseChatModel]:
     @property
     def chat_model_params(self) -> dict:
         return {
-            "model_id": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+            "model_id": "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
             "beta_use_converse_api": True,
         }
 

libs/aws/tests/unit_tests/chat_models/test_bedrock.py

@@ -520,7 +520,7 @@ class GetWeather(BaseModel):
 
 def test_anthropic_bind_tools_tool_choice() -> None:
     chat_model = ChatBedrock(
-        model_id="anthropic.claude-3-opus-20240229", region_name="us-west-2"
+        model_id="anthropic.claude-opus-4-1-20250805-v1:0", region_name="us-west-2"
     )  # type: ignore[call-arg]
     chat_model_with_tools = chat_model.bind_tools(
         [GetWeather], tool_choice={"type": "tool", "name": "GetWeather"}
@@ -556,12 +556,12 @@ def test_anthropic_bind_tools_tool_choice() -> None:
     ],
 )
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
-def test_claude37_thinking_forced_tool_raises(
+def test_claude_thinking_forced_tool_raises(
     mock_create_aws_client, tool_choice
 ) -> None:
     mock_create_aws_client.return_value = MagicMock()
     chat = ChatBedrock(
-        model_id="anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model_id="anthropic.claude-sonnet-4-5-20250929-v1:0",
         region_name="us-west-2",
         model_kwargs={
             "thinking": {"type": "enabled", "budget_tokens": 2048},
@@ -572,10 +572,10 @@ def test_claude37_thinking_forced_tool_raises(
 
 
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
-def test_claude37_thinking_tool_choice_auto_ok(mock_create_aws_client) -> None:
+def test_claude_thinking_tool_choice_auto_ok(mock_create_aws_client) -> None:
     mock_create_aws_client.return_value = MagicMock()
     chat = ChatBedrock(
-        model_id="anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model_id="anthropic.claude-sonnet-4-5-20250929-v1:0",
         region_name="us-west-2",
         model_kwargs={
             "thinking": {"type": "enabled", "budget_tokens": 2048},
@@ -588,10 +588,10 @@ def test_claude37_thinking_tool_choice_auto_ok(mock_create_aws_client) -> None:
 
 
 @mock.patch("langchain_aws.chat_models.bedrock.create_aws_client")
-def test_claude37_no_thinking_forced_tool_ok(mock_create_aws_client) -> None:
+def test_claude_no_thinking_forced_tool_ok(mock_create_aws_client) -> None:
     mock_create_aws_client.return_value = MagicMock()
     chat = ChatBedrock(
-        model_id="anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model_id="anthropic.claude-sonnet-4-5-20250929-v1:0",
         region_name="us-west-2",
     )
     chat_with_tools = chat.bind_tools([GetWeather], tool_choice="any")
@@ -1553,7 +1553,7 @@ def test_get_num_tokens_from_messages_with_base_messages():
     mock_client.count_tokens.return_value = {"inputTokens": 20}
 
     chat = ChatBedrock(
-        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
         region="us-west-2",
         max_tokens=4096,
     )
@@ -1568,7 +1568,7 @@ def test_get_num_tokens_from_messages_with_base_messages():
 
     mock_client.count_tokens.assert_called_once()
     call_args = mock_client.count_tokens.call_args[1]
-    assert call_args["modelId"] == "anthropic.claude-3-7-sonnet-20250219-v1:0"
+    assert call_args["modelId"] == "anthropic.claude-sonnet-4-5-20250929-v1:0"
 
     actual_input_body = json.loads(call_args["input"]["invokeModel"]["body"])
     expected_input_body = {