.Net: Bug: AWS Bedrock Connector - Cross-region inference Not Supported

[HallianTech-ChiefEngineer]

Describe the bug
when using the cross inference profileid, I receive this error: An error occurred while initializing the BedrockChatCompletionService: Unsupported model provider: us

When using a non cross inference profileid, just the modelid, I get this message from AWS: Invocation of model ID anthropic.claude-3-5-sonnet-20241022-v2:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile that contains this model.

To Reproduce
Steps to reproduce the behavior:
kernelBuilder.AddBedrockChatCompletionService("us.anthropic.claude-3-5-sonnet-20241022-v2:0");

Expected behavior
I would expect either the cross region profile id to work with the semanic kernal when ondemand does not work.

Screenshots
If applicable, add screenshots to help explain your problem.

Platform

• Language: C#
• Source: Microsoft.SemanticKernel.Connectors.Amazon 1.38.0-alpha
• AI model: us.anthropic.claude-3-5-sonnet-20241022-v2:0
• IDE: Visual Studio
• OS: Windows

Additional context
Using this with C#, dot net core 8, Blazor Server

[lspinheiro]

I'm currently facing the same issue for python. Here is my configuration and the error.

bedrock_runtime_client = boto3.client(service_name='bedrock-runtime', config=my_config)
bedrock_client = boto3.client("bedrock", config=my_config)

sk_client = BedrockChatCompletion(
    model_id='us.anthropic.claude-3-7-sonnet-20250219-v1:0',
    runtime_client=bedrock_runtime_client,
    client=bedrock_client,
)

# Configure execution settings
settings = BedrockChatPromptExecutionSettings(
    temperature=0.7,
    max_tokens=1000,
)

  File "/Users/leonardopinheiro/git/autogen/python/packages/autogen-ext/src/autogen_ext/models/semantic_kernel/_sk_chat_completion_adapter.py", line 565, in create_stream
    async for streaming_messages in self._sk_client.get_streaming_chat_message_contents(
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/semantic_kernel/connectors/ai/chat_completion_client_base.py", line 261, in get_streaming_chat_message_contents
    async for streaming_chat_message_contents in self._inner_get_streaming_chat_message_contents(
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/semantic_kernel/utils/telemetry/model_diagnostics/decorators.py", line 164, in wrapper_decorator
    async for streaming_chat_message_contents in completion_func(*args, **kwargs):
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/semantic_kernel/connectors/ai/bedrock/services/bedrock_chat_completion.py", line 134, in _inner_get_streaming_chat_message_contents
    model_info = await self.get_foundation_model_info(self.ai_model_id)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/semantic_kernel/connectors/ai/bedrock/services/bedrock_base.py", line 24, in get_foundation_model_info
    response = await run_in_executor(
               ^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/semantic_kernel/connectors/ai/bedrock/services/model_provider/utils.py", line 26, in run_in_executor
    return await asyncio.get_event_loop().run_in_executor(executor, partial(func, *args, **kwargs))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/leonardopinheiro/.pyenv/versions/3.11.8/lib/python3.11/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/botocore/client.py", line 569, in _api_call
    return self._make_api_call(operation_name, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/leonardopinheiro/git/autogen/python/.venv/lib/python3.11/site-packages/botocore/client.py", line 1023, in _make_api_call
    raise error_class(parsed_response, operation_name)
botocore.errorfactory.ValidationException: An error occurred (ValidationException) when calling the GetFoundationModel operation: The provided model identifier is invalid.