source/lambda/main.py [36:44]:
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        timestamp = request['timestamp']
        request_id = str(request['request_id'])

        # invoke Sagemaker endpoint to predict the skeleton
        sm_endpoint_response = sagemaker_runtime_client.invoke_endpoint(
            EndpointName=sagemaker_endpoint_name,
            ContentType='application/json',
            Accept='application/json',
            Body=json.dumps({
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source/lambda/main.py [85:93]:
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        timestamp = request['timestamp']
        request_id = str(request['request_id'])

        # invoke Sagemaker endpoint to predict the skeleton
        sm_endpoint_response = sagemaker_runtime_client.invoke_endpoint(
            EndpointName=sagemaker_endpoint_name,
            ContentType='application/json',
            Accept='application/json',
            Body=json.dumps({
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