AI GCP Model Armor: AI GCP Model Armor configuration - Plugin

AI GCP Model Armor configurationv3.12+

Configuration for enforcing content safety policies on LLM requests and responses using GCP Model Armor.

Environment variables

GCP_SERVICE_ACCOUNT_JSON: GCP service account credentials in JSON format
GCP_PROJECT_ID: GCP project identifier
GCP_LOCATION_ID: GCP location identifier
GCP_TEMPLATE_ID: Guardrail template identifier

Set up the plugin

Add this section to your kong.yaml configuration file:

kong.yaml

Copied!

_format_version: "3.0"
plugins:
  - name: ai-gcp-model-armor
    config:
      project_id: ${{ env "DECK_GCP_PROJECT_ID" }}
      location_id: ${{ env "DECK_GCP_LOCATION_ID" }}
      template_id: ${{ env "DECK_GCP_TEMPLATE_ID" }}
      guarding_mode: BOTH
      gcp_use_service_account: true
      gcp_service_account_json: ${{ env "DECK_GCP_SERVICE_ACCOUNT_JSON" }}
      reveal_failure_categories: true
      request_failure_message: Your request was blocked by content policies.
      response_failure_message: The model's response was filtered for safety.
      timeout: 15000
      response_buffer_size: 4096
      text_source: last_message

Make the following request:

curl -i -X POST http://localhost:8001/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

region: Geographic region where your Kong Konnect is hosted and operates.
controlPlaneId: The id of the control plane.
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.

See the Konnect API reference to learn about region-specific URLs and personal access tokens.

echo "
apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
  name: ai-gcp-model-armor
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
  labels:
    global: 'true'
config:
  project_id: '$GCP_PROJECT_ID'
  location_id: '$GCP_LOCATION_ID'
  template_id: '$GCP_TEMPLATE_ID'
  guarding_mode: BOTH
  gcp_use_service_account: true
  gcp_service_account_json: '$GCP_SERVICE_ACCOUNT_JSON'
  reveal_failure_categories: true
  request_failure_message: Your request was blocked by content policies.
  response_failure_message: The model's response was filtered for safety.
  timeout: 15000
  response_buffer_size: 4096
  text_source: last_message
plugin: ai-gcp-model-armor
" | kubectl apply -f -

Copied!

Prerequisite: Configure your Personal Access Token

terraform {
  required_providers {
    konnect = {
      source  = "kong/konnect"
    }
  }
}

provider "konnect" {
  personal_access_token = "$KONNECT_TOKEN"
  server_url            = "https://us.api.konghq.com/"
}

Copied!

Add the following to your Terraform configuration to create a Konnect Gateway Plugin:

resource "konnect_gateway_plugin_ai_gcp_model_armor" "my_ai_gcp_model_armor" {
  enabled = true

  config = {
    project_id = var.gcp_project_id
    location_id = var.gcp_location_id
    template_id = var.gcp_template_id
    guarding_mode = "BOTH"
    gcp_use_service_account = true
    gcp_service_account_json = var.gcp_service_account_json
    reveal_failure_categories = true
    request_failure_message = "Your request was blocked by content policies."
    response_failure_message = "The model's response was filtered for safety."
    timeout = 15000
    response_buffer_size = 4096
    text_source = "last_message"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}

Copied!

This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "gcp_template_id" {
  type = string
}

Copied!

Add this section to your kong.yaml configuration file:

kong.yaml

Copied!

_format_version: "3.0"
plugins:
  - name: ai-gcp-model-armor
    service: serviceName|Id
    config:
      project_id: ${{ env "DECK_GCP_PROJECT_ID" }}
      location_id: ${{ env "DECK_GCP_LOCATION_ID" }}
      template_id: ${{ env "DECK_GCP_TEMPLATE_ID" }}
      guarding_mode: BOTH
      gcp_use_service_account: true
      gcp_service_account_json: ${{ env "DECK_GCP_SERVICE_ACCOUNT_JSON" }}
      reveal_failure_categories: true
      request_failure_message: Your request was blocked by content policies.
      response_failure_message: The model's response was filtered for safety.
      timeout: 15000
      response_buffer_size: 4096
      text_source: last_message

Make sure to replace the following placeholders with your own values:

serviceName|Id: The id or name of the service the plugin configuration will target.

Make the following request:

curl -i -X POST http://localhost:8001/services/{serviceName|Id}/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

serviceName|Id: The id or name of the service the plugin configuration will target.

Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/services/{serviceId}/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

region: Geographic region where your Kong Konnect is hosted and operates.
controlPlaneId: The id of the control plane.
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.
serviceId: The id of the service the plugin configuration will target.

See the Konnect API reference to learn about region-specific URLs and personal access tokens.

echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
  name: ai-gcp-model-armor
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  project_id: '$GCP_PROJECT_ID'
  location_id: '$GCP_LOCATION_ID'
  template_id: '$GCP_TEMPLATE_ID'
  guarding_mode: BOTH
  gcp_use_service_account: true
  gcp_service_account_json: '$GCP_SERVICE_ACCOUNT_JSON'
  reveal_failure_categories: true
  request_failure_message: Your request was blocked by content policies.
  response_failure_message: The model's response was filtered for safety.
  timeout: 15000
  response_buffer_size: 4096
  text_source: last_message
plugin: ai-gcp-model-armor
" | kubectl apply -f -

Copied!

Next, apply the KongPlugin resource by annotating the service resource:

kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-gcp-model-armor

Copied!

Prerequisite: Configure your Personal Access Token

terraform {
  required_providers {
    konnect = {
      source  = "kong/konnect"
    }
  }
}

provider "konnect" {
  personal_access_token = "$KONNECT_TOKEN"
  server_url            = "https://us.api.konghq.com/"
}

Copied!

Add the following to your Terraform configuration to create a Konnect Gateway Plugin:

resource "konnect_gateway_plugin_ai_gcp_model_armor" "my_ai_gcp_model_armor" {
  enabled = true

  config = {
    project_id = var.gcp_project_id
    location_id = var.gcp_location_id
    template_id = var.gcp_template_id
    guarding_mode = "BOTH"
    gcp_use_service_account = true
    gcp_service_account_json = var.gcp_service_account_json
    reveal_failure_categories = true
    request_failure_message = "Your request was blocked by content policies."
    response_failure_message = "The model's response was filtered for safety."
    timeout = 15000
    response_buffer_size = 4096
    text_source = "last_message"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
  service = {
    id = konnect_gateway_service.my_service.id
  }
}

Copied!

This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "gcp_template_id" {
  type = string
}

Copied!

Add this section to your kong.yaml configuration file:

kong.yaml

Copied!

_format_version: "3.0"
plugins:
  - name: ai-gcp-model-armor
    route: routeName|Id
    config:
      project_id: ${{ env "DECK_GCP_PROJECT_ID" }}
      location_id: ${{ env "DECK_GCP_LOCATION_ID" }}
      template_id: ${{ env "DECK_GCP_TEMPLATE_ID" }}
      guarding_mode: BOTH
      gcp_use_service_account: true
      gcp_service_account_json: ${{ env "DECK_GCP_SERVICE_ACCOUNT_JSON" }}
      reveal_failure_categories: true
      request_failure_message: Your request was blocked by content policies.
      response_failure_message: The model's response was filtered for safety.
      timeout: 15000
      response_buffer_size: 4096
      text_source: last_message

Make sure to replace the following placeholders with your own values:

routeName|Id: The id or name of the route the plugin configuration will target.

Make the following request:

curl -i -X POST http://localhost:8001/routes/{routeName|Id}/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

routeName|Id: The id or name of the route the plugin configuration will target.

Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/routes/{routeId}/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

region: Geographic region where your Kong Konnect is hosted and operates.
controlPlaneId: The id of the control plane.
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.
routeId: The id of the route the plugin configuration will target.

See the Konnect API reference to learn about region-specific URLs and personal access tokens.

echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
  name: ai-gcp-model-armor
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  project_id: '$GCP_PROJECT_ID'
  location_id: '$GCP_LOCATION_ID'
  template_id: '$GCP_TEMPLATE_ID'
  guarding_mode: BOTH
  gcp_use_service_account: true
  gcp_service_account_json: '$GCP_SERVICE_ACCOUNT_JSON'
  reveal_failure_categories: true
  request_failure_message: Your request was blocked by content policies.
  response_failure_message: The model's response was filtered for safety.
  timeout: 15000
  response_buffer_size: 4096
  text_source: last_message
plugin: ai-gcp-model-armor
" | kubectl apply -f -

Copied!

Next, apply the KongPlugin resource by annotating the httproute or ingress resource:

kubectl annotate -n kong httproute  konghq.com/plugins=ai-gcp-model-armor

Copied!

kubectl annotate -n kong ingress  konghq.com/plugins=ai-gcp-model-armor

Copied!

Prerequisite: Configure your Personal Access Token

terraform {
  required_providers {
    konnect = {
      source  = "kong/konnect"
    }
  }
}

provider "konnect" {
  personal_access_token = "$KONNECT_TOKEN"
  server_url            = "https://us.api.konghq.com/"
}

Copied!

Add the following to your Terraform configuration to create a Konnect Gateway Plugin:

resource "konnect_gateway_plugin_ai_gcp_model_armor" "my_ai_gcp_model_armor" {
  enabled = true

  config = {
    project_id = var.gcp_project_id
    location_id = var.gcp_location_id
    template_id = var.gcp_template_id
    guarding_mode = "BOTH"
    gcp_use_service_account = true
    gcp_service_account_json = var.gcp_service_account_json
    reveal_failure_categories = true
    request_failure_message = "Your request was blocked by content policies."
    response_failure_message = "The model's response was filtered for safety."
    timeout = 15000
    response_buffer_size = 4096
    text_source = "last_message"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
  route = {
    id = konnect_gateway_route.my_route.id
  }
}

Copied!

This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "gcp_template_id" {
  type = string
}

Copied!

Add this section to your kong.yaml configuration file:

kong.yaml

Copied!

_format_version: "3.0"
plugins:
  - name: ai-gcp-model-armor
    consumer: consumerName|Id
    config:
      project_id: ${{ env "DECK_GCP_PROJECT_ID" }}
      location_id: ${{ env "DECK_GCP_LOCATION_ID" }}
      template_id: ${{ env "DECK_GCP_TEMPLATE_ID" }}
      guarding_mode: BOTH
      gcp_use_service_account: true
      gcp_service_account_json: ${{ env "DECK_GCP_SERVICE_ACCOUNT_JSON" }}
      reveal_failure_categories: true
      request_failure_message: Your request was blocked by content policies.
      response_failure_message: The model's response was filtered for safety.
      timeout: 15000
      response_buffer_size: 4096
      text_source: last_message

Make sure to replace the following placeholders with your own values:

consumerName|Id: The id or name of the consumer the plugin configuration will target.

Make the following request:

curl -i -X POST http://localhost:8001/consumers/{consumerName|Id}/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

consumerName|Id: The id or name of the consumer the plugin configuration will target.

Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/consumers/{consumerId}/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

region: Geographic region where your Kong Konnect is hosted and operates.
controlPlaneId: The id of the control plane.
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.
consumerId: The id of the consumer the plugin configuration will target.

See the Konnect API reference to learn about region-specific URLs and personal access tokens.

echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
  name: ai-gcp-model-armor
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  project_id: '$GCP_PROJECT_ID'
  location_id: '$GCP_LOCATION_ID'
  template_id: '$GCP_TEMPLATE_ID'
  guarding_mode: BOTH
  gcp_use_service_account: true
  gcp_service_account_json: '$GCP_SERVICE_ACCOUNT_JSON'
  reveal_failure_categories: true
  request_failure_message: Your request was blocked by content policies.
  response_failure_message: The model's response was filtered for safety.
  timeout: 15000
  response_buffer_size: 4096
  text_source: last_message
plugin: ai-gcp-model-armor
" | kubectl apply -f -

Copied!

Next, apply the KongPlugin resource by annotating the KongConsumer resource:

kubectl annotate -n kong  CONSUMER_NAME konghq.com/plugins=ai-gcp-model-armor

Copied!

Prerequisite: Configure your Personal Access Token

terraform {
  required_providers {
    konnect = {
      source  = "kong/konnect"
    }
  }
}

provider "konnect" {
  personal_access_token = "$KONNECT_TOKEN"
  server_url            = "https://us.api.konghq.com/"
}

Copied!

Add the following to your Terraform configuration to create a Konnect Gateway Plugin:

resource "konnect_gateway_plugin_ai_gcp_model_armor" "my_ai_gcp_model_armor" {
  enabled = true

  config = {
    project_id = var.gcp_project_id
    location_id = var.gcp_location_id
    template_id = var.gcp_template_id
    guarding_mode = "BOTH"
    gcp_use_service_account = true
    gcp_service_account_json = var.gcp_service_account_json
    reveal_failure_categories = true
    request_failure_message = "Your request was blocked by content policies."
    response_failure_message = "The model's response was filtered for safety."
    timeout = 15000
    response_buffer_size = 4096
    text_source = "last_message"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
  consumer = {
    id = konnect_gateway_consumer.my_consumer.id
  }
}

Copied!

This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "gcp_template_id" {
  type = string
}

Copied!

Add this section to your kong.yaml configuration file:

kong.yaml

Copied!

_format_version: "3.0"
plugins:
  - name: ai-gcp-model-armor
    consumer_group: consumerGroupName|Id
    config:
      project_id: ${{ env "DECK_GCP_PROJECT_ID" }}
      location_id: ${{ env "DECK_GCP_LOCATION_ID" }}
      template_id: ${{ env "DECK_GCP_TEMPLATE_ID" }}
      guarding_mode: BOTH
      gcp_use_service_account: true
      gcp_service_account_json: ${{ env "DECK_GCP_SERVICE_ACCOUNT_JSON" }}
      reveal_failure_categories: true
      request_failure_message: Your request was blocked by content policies.
      response_failure_message: The model's response was filtered for safety.
      timeout: 15000
      response_buffer_size: 4096
      text_source: last_message

Make sure to replace the following placeholders with your own values:

consumerGroupName|Id: The id or name of the consumer group the plugin configuration will target.

Make the following request:

curl -i -X POST http://localhost:8001/consumer_groups/{consumerGroupName|Id}/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

consumerGroupName|Id: The id or name of the consumer group the plugin configuration will target.

Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/consumer_groups/{consumerGroupId}/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-gcp-model-armor",
      "config": {
        "project_id": "'$GCP_PROJECT_ID'",
        "location_id": "'$GCP_LOCATION_ID'",
        "template_id": "'$GCP_TEMPLATE_ID'",
        "guarding_mode": "BOTH",
        "gcp_use_service_account": true,
        "gcp_service_account_json": "'$GCP_SERVICE_ACCOUNT_JSON'",
        "reveal_failure_categories": true,
        "request_failure_message": "Your request was blocked by content policies.",
        "response_failure_message": "The model's response was filtered for safety.",
        "timeout": 15000,
        "response_buffer_size": 4096,
        "text_source": "last_message"
      }
    }
    '

Copied!

Make sure to replace the following placeholders with your own values:

region: Geographic region where your Kong Konnect is hosted and operates.
controlPlaneId: The id of the control plane.
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.
consumerGroupId: The id of the consumer group the plugin configuration will target.

See the Konnect API reference to learn about region-specific URLs and personal access tokens.

echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
  name: ai-gcp-model-armor
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  project_id: '$GCP_PROJECT_ID'
  location_id: '$GCP_LOCATION_ID'
  template_id: '$GCP_TEMPLATE_ID'
  guarding_mode: BOTH
  gcp_use_service_account: true
  gcp_service_account_json: '$GCP_SERVICE_ACCOUNT_JSON'
  reveal_failure_categories: true
  request_failure_message: Your request was blocked by content policies.
  response_failure_message: The model's response was filtered for safety.
  timeout: 15000
  response_buffer_size: 4096
  text_source: last_message
plugin: ai-gcp-model-armor
" | kubectl apply -f -

Copied!

Next, apply the KongPlugin resource by annotating the KongConsumerGroup resource:

kubectl annotate -n kong  CONSUMERGROUP_NAME konghq.com/plugins=ai-gcp-model-armor

Copied!

Prerequisite: Configure your Personal Access Token

terraform {
  required_providers {
    konnect = {
      source  = "kong/konnect"
    }
  }
}

provider "konnect" {
  personal_access_token = "$KONNECT_TOKEN"
  server_url            = "https://us.api.konghq.com/"
}

Copied!

Add the following to your Terraform configuration to create a Konnect Gateway Plugin:

resource "konnect_gateway_plugin_ai_gcp_model_armor" "my_ai_gcp_model_armor" {
  enabled = true

  config = {
    project_id = var.gcp_project_id
    location_id = var.gcp_location_id
    template_id = var.gcp_template_id
    guarding_mode = "BOTH"
    gcp_use_service_account = true
    gcp_service_account_json = var.gcp_service_account_json
    reveal_failure_categories = true
    request_failure_message = "Your request was blocked by content policies."
    response_failure_message = "The model's response was filtered for safety."
    timeout = 15000
    response_buffer_size = 4096
    text_source = "last_message"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
  consumer_group = {
    id = konnect_gateway_consumer_group.my_consumer_group.id
  }
}

Copied!

This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "gcp_template_id" {
  type = string
}

Copied!

AI GCP Model Armor

AI GCP Model Armor configurationv3.12+

Environment variables

Set up the plugin

Help us make these docs great!

Still need help