feat: add OpenAI compatible API router

src/emd/cfn/codepipeline/template.yaml

@@ -63,6 +63,7 @@ Resources:
                   - lambda:*
                   - logs:*
                   - elasticloadbalancing:*
+                  - application-autoscaling:*
                 Resource:
                   - "*"
       ManagedPolicyArns:
@@ -236,6 +237,7 @@ Resources:
                   cd ..
                   cp cfn/$ServiceType/template.yaml template.yaml
                   cp pipeline/parameters.json parameters.json
+                  python cfn/shared/filter_parameters.py template.yaml parameters.json
                   cat parameters.json
                   echo post build completed on `date`
 

src/emd/cfn/ecs/post_build.py

@@ -5,138 +5,8 @@
 import argparse
 import sys
 from emd.models.utils.serialize_utils import load_extra_params
-
-# Post build script for ECS, it will deploy the VPC and ECS cluster.
-CFN_ROOT_PATH = "../cfn"
-WAIT_SECONDS = 10
-
-
-def wait_for_stack_completion(client, stack_name):
-    while True:
-        response = client.describe_stacks(StackName=stack_name)
-        stack_status = response["Stacks"][0]["StackStatus"]
-        while stack_status.endswith("IN_PROGRESS"):
-            print(
-                f"Stack {stack_name} is currently {stack_status}. Waiting for completion..."
-            )
-            time.sleep(WAIT_SECONDS)
-            response = client.describe_stacks(StackName=stack_name)
-            stack_status = response["Stacks"][0]["StackStatus"]
-
-        if stack_status in ["CREATE_COMPLETE", "UPDATE_COMPLETE"]:
-            print(f"Stack {stack_name} deployment complete")
-            break
-        else:
-            print(
-                f"Post build stage failed. The stack {stack_name} is in an unexpected status: {stack_status}. Please visit the AWS CloudFormation Console to delete the stack."
-            )
-            sys.exit(1)
-
-def get_stack_outputs(client, stack_name):
-    response = client.describe_stacks(StackName=stack_name)
-    return response["Stacks"][0].get("Outputs", [])
-
-
-def create_or_update_stack(client, stack_name, template_path, parameters=[]):
-    try:
-        wait_for_stack_completion(client, stack_name)
-        response = client.describe_stacks(StackName=stack_name)
-        stack_status = response["Stacks"][0]["StackStatus"]
-
-        if stack_status in ["CREATE_COMPLETE", "UPDATE_COMPLETE"]:
-            print(f"Stack {stack_name} already exists. Proceeding with update.")
-            with open(template_path, "r") as template_file:
-                template_body = template_file.read()
-
-            try:
-                response = client.update_stack(
-                    StackName=stack_name,
-                    TemplateBody=template_body,
-                    Capabilities=["CAPABILITY_NAMED_IAM"],
-                    Parameters=parameters
-                )
-            except Exception as e:
-                print(f"No updates are to be performed for stack {stack_name}.")
-
-            print(f"Started update of stack {stack_name}")
-            wait_for_stack_completion(client, stack_name)
-
-    except client.exceptions.ClientError as e:
-        if "does not exist" in str(e):
-            print(f"Stack {stack_name} does not exist. Proceeding with creation.")
-            with open(template_path, "r") as template_file:
-                template_body = template_file.read()
-
-            response = client.create_stack(
-                StackName=stack_name,
-                TemplateBody=template_body,
-                Capabilities=["CAPABILITY_NAMED_IAM"],
-                Parameters=parameters,
-                EnableTerminationProtection=True,
-            )
-
-            stack_id = response["StackId"]
-            print(f"Started deployment of stack {stack_name} with ID {stack_id}")
-            wait_for_stack_completion(client, stack_name)
-        else:
-            print(
-                f"Post build stage failed. The stack {stack_name} is in an unexpected status: {stack_status}. Please visit the AWS CloudFormation Console to delete the stack."
-            )
-            sys.exit(1)
-
-
-def update_parameters_file(parameters_path, updates):
-    with open(parameters_path, "r") as file:
-        data = json.load(file)
-
-    data["Parameters"].update(updates)
-
-    with open(parameters_path, "w") as file:
-        json.dump(data, file, indent=4)
-
-
-def deploy_vpc_template(region):
-    client = boto3.client("cloudformation", region_name=region)
-    stack_name = "EMD-VPC"
-    template_path = f"{CFN_ROOT_PATH}/vpc/template.yaml"
-    create_or_update_stack(client, stack_name, template_path)
-    outputs = get_stack_outputs(client, stack_name)
-    vpc_id = None
-    subnets = None
-    for output in outputs:
-        if output["OutputKey"] == "VPCID" and output["OutputValue"]:
-            vpc_id = output["OutputValue"]
-        elif output["OutputKey"] == "Subnets" and output["OutputValue"]:
-            subnets = output["OutputValue"]
-    update_parameters_file("parameters.json", {"VPCID": vpc_id, "Subnets": subnets})
-    return vpc_id, subnets
-
-
-def deploy_ecs_cluster_template(region, vpc_id, subnets):
-    client = boto3.client("cloudformation", region_name=region)
-    stack_name = "EMD-ECS-Cluster"
-    template_path = f"{CFN_ROOT_PATH}/ecs/cluster.yaml"
-    create_or_update_stack(
-        client,
-        stack_name,
-        template_path,
-        [
-            {
-                "ParameterKey": "VPCID",
-                "ParameterValue": vpc_id,
-            },
-            {
-                "ParameterKey": "Subnets",
-                "ParameterValue": subnets,
-            },
-        ],
-    )
-
-    outputs = get_stack_outputs(client, stack_name)
-    for output in outputs:
-        update_parameters_file(
-            "parameters.json", {output["OutputKey"]: output["OutputValue"]}
-        )
+from emd.cfn.shared.ecs_cluster import deploy_ecs_cluster, remove_parameters_file
+# Post build script for SageMaker OpenAI Compatible Interface, it will deploy the VPC and ECS cluster with an API router Fargate ECS service.
 
 
 def post_build():
@@ -160,14 +30,19 @@ def post_build():
 
     service_params = args.extra_params.get("service_params", {})
 
-    if "vpc_id" not in service_params:
-        vpc_id, subnets = deploy_vpc_template(args.region)
-    else:
+    if "vpc_id" in service_params:
         vpc_id = service_params.get("vpc_id")
         subnets = service_params.get("subnet_ids")
-        update_parameters_file("parameters.json", {"VPCID": vpc_id, "Subnets": subnets})
+    else:
+        vpc_id = None
+        subnets = None
+
+    if "use_spot" in service_params and service_params.get("use_spot") == "true":
+        use_spot = True
+    else:
+        use_spot = False
 
-    deploy_ecs_cluster_template(args.region, vpc_id, subnets)
+    deploy_ecs_cluster(args.region, vpc_id, subnets, use_spot)
 
 
 if __name__ == "__main__":

src/emd/cfn/ecs/template.yaml

@@ -361,6 +361,9 @@ Resources:
           TargetGroupArn: !Ref ServiceTargetGroup
 
 Outputs:
+  Model:
+    Description: Model ID used to generate the response
+    Value: !Join ['', [!Ref ModelId, '/', !Ref ModelTag]]
   PublicLoadBalancerDNSName:
     Description: The DNS name of the public load balancer. To use HTTPS, create an SSL certificate in AWS Certificate Manager and attach it to the load balancer.
     Value: !Join ['', ['http://', !Ref DNSName, '/', !Ref ModelId, '/', !Ref ModelTag]]

src/emd/cfn/sagemaker_async/post_build.py

@@ -0,0 +1,49 @@
+import boto3
+import time
+import json
+import os
+import argparse
+import sys
+from emd.models.utils.serialize_utils import load_extra_params
+from emd.cfn.shared.ecs_cluster import deploy_ecs_cluster, remove_parameters_file
+# Post build script for SageMaker OpenAI Compatible Interface, it will deploy the VPC and ECS cluster with an API router Fargate ECS service.
+
+
+def post_build():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--region", type=str, required=False)
+    parser.add_argument("--model_id", type=str, required=False)
+    parser.add_argument("--model_tag", type=str, required=False)
+    parser.add_argument("--framework_type", type=str, required=False)
+    parser.add_argument("--service_type", type=str, required=False)
+    parser.add_argument("--backend_type", type=str, required=False)
+    parser.add_argument("--model_s3_bucket", type=str, required=False)
+    parser.add_argument("--instance_type", type=str, required=False)
+    parser.add_argument(
+        "--extra_params",
+        type=load_extra_params,
+        required=False,
+        default=os.environ.get("extra_params", "{}"),
+    )
+
+    args = parser.parse_args()
+
+    service_params = args.extra_params.get("service_params", {})
+
+    if "vpc_id" in service_params:
+        vpc_id = service_params.get("vpc_id")
+        subnets = service_params.get("subnet_ids")
+    else:
+        vpc_id = None
+        subnets = None
+
+    if "use_spot" in service_params and service_params.get("use_spot") == "true":
+        use_spot = True
+    else:
+        use_spot = False
+
+    deploy_ecs_cluster(args.region, vpc_id, subnets, use_spot)
+
+
+if __name__ == "__main__":
+    post_build()

src/emd/cfn/sagemaker_async/template.yaml

@@ -93,9 +93,9 @@ Resources:
       EndpointConfigName: !GetAtt SageMakerEndpointConfig.EndpointConfigName
 
 Outputs:
-  ModelId:
-    Description: The emd model ID to be used for the SageMaker Endpoint
-    Value: !Ref ModelId
+  Model:
+    Description: Model ID used to generate the response
+    Value: !Join ['', [!Ref ModelId, '/', !Ref ModelTag]]
   SageMakerEndpointName:
     Description: The name of the SageMaker Endpoint
     Value: !GetAtt SageMakerEndpoint.EndpointName

src/emd/cfn/sagemaker_realtime/post_build.py

@@ -0,0 +1,49 @@
+import boto3
+import time
+import json
+import os
+import argparse
+import sys
+from emd.models.utils.serialize_utils import load_extra_params
+from emd.cfn.shared.ecs_cluster import deploy_ecs_cluster, remove_parameters_file
+# Post build script for SageMaker OpenAI Compatible Interface, it will deploy the VPC and ECS cluster with an API router Fargate ECS service.
+
+
+def post_build():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--region", type=str, required=False)
+    parser.add_argument("--model_id", type=str, required=False)
+    parser.add_argument("--model_tag", type=str, required=False)
+    parser.add_argument("--framework_type", type=str, required=False)
+    parser.add_argument("--service_type", type=str, required=False)
+    parser.add_argument("--backend_type", type=str, required=False)
+    parser.add_argument("--model_s3_bucket", type=str, required=False)
+    parser.add_argument("--instance_type", type=str, required=False)
+    parser.add_argument(
+        "--extra_params",
+        type=load_extra_params,
+        required=False,
+        default=os.environ.get("extra_params", "{}"),
+    )
+
+    args = parser.parse_args()
+
+    service_params = args.extra_params.get("service_params", {})
+
+    if "vpc_id" in service_params:
+        vpc_id = service_params.get("vpc_id")
+        subnets = service_params.get("subnet_ids")
+    else:
+        vpc_id = None
+        subnets = None
+
+    if "use_spot" in service_params and service_params.get("use_spot") == "true":
+        use_spot = True
+    else:
+        use_spot = False
+
+    deploy_ecs_cluster(args.region, vpc_id, subnets, use_spot)
+
+
+if __name__ == "__main__":
+    post_build()

src/emd/cfn/sagemaker_realtime/template.yaml

@@ -37,10 +37,10 @@ Parameters:
   SageMakerEndpointName:
     Type: String
     Description: The name of the SageMaker Endpoint
-    Default: "noname"
+    Default: "Auto-generate"
 
 Conditions:
-  UseDefaultEndpointName: !Equals [!Ref SageMakerEndpointName, "noname"]
+  UseDefaultEndpointName: !Equals [!Ref SageMakerEndpointName, "Auto-generate"]
 
 Resources:
   ExecutionRole:
@@ -148,9 +148,9 @@ Resources:
         ScaleOutCooldown: 600
 
 Outputs:
-  ModelId:
-    Description: The emd model ID to be used for the SageMaker Endpoint
-    Value: !Ref ModelId
+  Model:
+    Description: Model ID used to generate the response
+    Value: !Join ['', [!Ref ModelId, '/', !Ref ModelTag]]
   SageMakerEndpointName:
     Description: The name of the SageMaker Endpoint
     Value: !GetAtt SageMakerEndpoint.EndpointName