Create and manage engine configs

This page shows you how to create and manage AML AI engine configs, which are configurations for training models. An engine config might include information that is tuned for specific datasets.

You only need to create the engine config and export the associated metadata at this point. The other engine config methods are provided as a convenience.

Before you begin

To get the permissions that you need to create and manage engine configs, ask your administrator to grant you the Financial Services Admin (financialservices.admin) IAM role on your project. For more information about granting roles, see Manage access.

You might also be able to get the required permissions through custom roles or other predefined roles.
Create an instance
Get an engine version
Create a dataset

Create an engine config that includes automatic tuning

Some API methods return a long-running operation (LRO). These methods are asynchronous. The operation might not be completed when the method returns a response. For these methods, send the request and then check for the result.

Send the request

To create an engine config, use the projects.locations.instances.engineConfigs.create method.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: a user-defined identifier for the engine config
ENGINE_VERSION_ID: the engine version, which is used for the initial settings of the engine config
DATASET_ID: the user-defined identifier for the primary dataset used for tuning a model
TUNING_END_DATE: The latest time from which data is used to generate features for training. This date should be the same or earlier than the end time of the datasets. Use RFC3339 UTC "Zulu" format (for example, 2014-10-02T15:01:23Z).
PARTY_INVESTIGATIONS_PER_PERIOD_HINT: A number that gives the tuner a hint on the number of investigations that will be performed on this data per period (monthly). This is used to control how the model is evaluated.

Request JSON body:

{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "tuning": {
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TUNING_END_DATE",
  },
  "performanceTarget": {
    "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
  }
}

To send your request, choose one of these options:

curl

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell, which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "tuning": {
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TUNING_END_DATE",
  },
  "performanceTarget": {
    "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
  }
}
EOF

Then execute the following command to send your REST request:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs?engine_config_id=ENGINE_CONFIG_ID"

PowerShell

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "tuning": {
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TUNING_END_DATE",
  },
  "performanceTarget": {
    "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs?engine_config_id=ENGINE_CONFIG_ID" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "create",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

Check for the result

Use the projects.locations.operations.get method to check if the engine config has been created. If the response contains "done": false, repeat the command until the response contains "done": true. These operations can take a few minutes to several hours to complete.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
OPERATION_ID: the identifier for the operation

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "endTime": END_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "create",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.EngineConfig",
    "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "createTime": CREATE_TIME,
    "updateTime": UPDATE_TIME,
    "state": "ACTIVE",
    "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
    "tuning": {
      "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
      "endTime": "TUNING_END_DATE",
    },
    "performanceTarget": {
      "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
    },
    "lineOfBusiness": "RETAIL",
    "billingUuid": "BILLING_UUID"
  }
}

Export metadata

To export metadata from an engine config, use the projects.locations.instances.engineConfigs.exportMetadata method.

For more information, see Exported metadata in the AML output data model.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: the user-defined identifier for the engine config
BQ_OUTPUT_DATASET_NAME: a BigQuery dataset in which to export a table that describes the structured metadata of the engine config
STRUCTURED_METADATA_TABLE: the table to write the structured metadata to
WRITE_DISPOSITION: the action that occurs if the destination table already exists; use one of the following values:
- WRITE_EMPTY: Only export data if the BigQuery table is empty.
- WRITE_TRUNCATE: Erase all existing data in the BigQuery table before writing to the table.

Request JSON body:

{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}
EOF

Then execute the following command to send your REST request:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID:exportMetadata"

PowerShell

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID:exportMetadata" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "exportMetadata",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For more information on how to get the result of the long-running operation (LRO), see Check for the result.

Optional methods

The following engine config methods are provided as a convenience.

Create an engine config that inherits hyperparameters

To avoid re-tuning each time you adopt a new model engine version, you can choose to inherit hyperparameters from an existing engine config. For more information, see Configure an engine.

To create an engine config, use the projects.locations.instances.engineConfigs.create method.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: a user-defined identifier for the engine config
ENGINE_VERSION_ID: the engine version, which is used for the initial settings of the engine config; the line of business for the engine version must match the line of business in the source engine config you are inheriting from
SOURCE_ENGINE_CONFIG_ID: the user-defined identifier for the source engine config; the outputs and hyperparameters are inherited from this source engine config

Request JSON body:

{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "hyperparameterSourceType": "INHERITED",
  "hyperparameterSource": {
    "sourceEngineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/SOURCE_ENGINE_CONFIG_ID"
  }
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "hyperparameterSourceType": "INHERITED",
  "hyperparameterSource": {
    "sourceEngineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/SOURCE_ENGINE_CONFIG_ID"
  }
}
EOF

Then execute the following command to send your REST request:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs?engine_config_id=ENGINE_CONFIG_ID"

PowerShell

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "hyperparameterSourceType": "INHERITED",
  "hyperparameterSource": {
    "sourceEngineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/SOURCE_ENGINE_CONFIG_ID"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs?engine_config_id=ENGINE_CONFIG_ID" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "create",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For more information on how to get the result of the long-running operation (LRO), see Check for the result.

Get an engine config

To get an engine config, use the projects.locations.instances.engineConfigs.get method.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: the user-defined identifier for the engine config

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
  "createTime": CREATE_TIME,
  "updateTime": UPDATE_TIME,
  "state": "ACTIVE",
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "tuning": {
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TUNING_END_DATE",
  },
  "performanceTarget": {
    "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
  },
  "lineOfBusiness": "RETAIL"
}

Update an engine config

To update an engine config, use the projects.locations.instances.engineConfigs.patch method.

Not all fields in an engine config can be updated. The following example updates the key-value pair user labels associated with the engine config.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: the user-defined identifier for the engine config
KEY: The key in a key-value pair used to organize engine configs. See labels for more information.
VALUE: The value in a key-value pair used to organize engine configs. See labels for more information.

Request JSON body:

{
  "labels": {
    "KEY": "VALUE"
  }
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "labels": {
    "KEY": "VALUE"
  }
}
EOF

Then execute the following command to send your REST request:

curl -X PATCH \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID?updateMask=labels"

PowerShell

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "labels": {
    "KEY": "VALUE"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method PATCH `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID?updateMask=labels" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "update",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For more information on how to get the result of the long-running operation (LRO), see Check for the result.

List the engine configs

To list the engine configs for a given location, use the projects.locations.instances.engineConfigs.list method.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "engineConfigs": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
      "createTime": CREATE_TIME,
      "updateTime": UPDATE_TIME,
      "state": "ACTIVE",
      "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
      "tuning": {
        "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
        "endTime": "TUNING_END_DATE",
      },
      "performanceTarget": {
        "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
      },
      "lineOfBusiness": "RETAIL"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/my-other-engine-config",
      "createTime": CREATE_TIME,
      "updateTime": UPDATE_TIME,
      "state": "ACTIVE",
      "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
      "tuning": {
        "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
        "endTime": "TUNING_END_DATE",
      },
      "performanceTarget": {
        "partyInvestigationsPerPeriodHint": "PARTY_INVESTIGATIONS_PER_PERIOD_HINT"
      },
      "lineOfBusiness": "RETAIL"
    }
  ]
}

Delete an engine config

To delete an engine config, use the projects.locations.instances.engineConfigs.delete method.

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
ENGINE_CONFIG_ID: the user-defined identifier for the engine config

To send your request, choose one of these options:

curl

Execute the following command:

curl -X DELETE \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method DELETE `
    -Headers $headers `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "verb": "delete",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For more information on how to get the result of the long-running operation (LRO), see Check for the result.