Use IAM role assumptionv3.12+
Configure the AI AWS Guardrails plugin to use IAM role assumption instead of static credentials.
Note: The IAM role fields can be used with or without static AWS credentials (
config.aws_access_key_idandconfig.aws_secret_access_key).
Prerequisites
-
You have an AWS Bedrock Guardrails policy and access to AWS Bedrock Guardrails service.
-
You have enabled an AI Proxy or AI Proxy Advanced plugin.
Environment variables
-
AWS_GUARDRAILS_ID: The ID of the AWS Guardrails configuration. -
AWS_GUARDRAILS_VERSION: The version of the AWS Guardrails configuration (e.g. DRAFT or 1). -
AWS_REGION: The AWS region to use. -
AWS_ASSUME_ROLE_ARN: The ARN of the IAM role to assume. -
AWS_ROLE_SESSION_NAME: A unique identifier for the AWS role session.
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-aws-guardrails
config:
guardrails_id: ${{ env "DECK_AWS_GUARDRAILS_ID" }}
guardrails_version: ${{ env "DECK_AWS_GUARDRAILS_VERSION" }}
aws_region: ${{ env "DECK_AWS_REGION" }}
aws_assume_role_arn: ${{ env "DECK_AWS_ASSUME_ROLE_ARN" }}
aws_role_session_name: ${{ env "DECK_AWS_ROLE_SESSION_NAME" }}
Make the following request:
curl -i -X POST http://localhost:8001/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof 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-aws-guardrails
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
labels:
global: 'true'
config:
guardrails_id: '$AWS_GUARDRAILS_ID'
guardrails_version: '$AWS_GUARDRAILS_VERSION'
aws_region: '$AWS_REGION'
aws_assume_role_arn: '$AWS_ASSUME_ROLE_ARN'
aws_role_session_name: '$AWS_ROLE_SESSION_NAME'
plugin: ai-aws-guardrails
" | kubectl apply -f -
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_aws_guardrails" "my_ai_aws_guardrails" {
enabled = true
config = {
guardrails_id = var.aws_guardrails_id
guardrails_version = var.aws_guardrails_version
aws_region = var.aws_region
aws_assume_role_arn = var.aws_assume_role_arn
aws_role_session_name = var.aws_role_session_name
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}
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 "aws_role_session_name" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-aws-guardrails
service: serviceName|Id
config:
guardrails_id: ${{ env "DECK_AWS_GUARDRAILS_ID" }}
guardrails_version: ${{ env "DECK_AWS_GUARDRAILS_VERSION" }}
aws_region: ${{ env "DECK_AWS_REGION" }}
aws_assume_role_arn: ${{ env "DECK_AWS_ASSUME_ROLE_ARN" }}
aws_role_session_name: ${{ env "DECK_AWS_ROLE_SESSION_NAME" }}
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof the service the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/services/{serviceName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof 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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
serviceId: Theidof 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-aws-guardrails
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
guardrails_id: '$AWS_GUARDRAILS_ID'
guardrails_version: '$AWS_GUARDRAILS_VERSION'
aws_region: '$AWS_REGION'
aws_assume_role_arn: '$AWS_ASSUME_ROLE_ARN'
aws_role_session_name: '$AWS_ROLE_SESSION_NAME'
plugin: ai-aws-guardrails
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the service resource:
kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-aws-guardrails
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_aws_guardrails" "my_ai_aws_guardrails" {
enabled = true
config = {
guardrails_id = var.aws_guardrails_id
guardrails_version = var.aws_guardrails_version
aws_region = var.aws_region
aws_assume_role_arn = var.aws_assume_role_arn
aws_role_session_name = var.aws_role_session_name
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
service = {
id = konnect_gateway_service.my_service.id
}
}
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 "aws_role_session_name" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-aws-guardrails
route: routeName|Id
config:
guardrails_id: ${{ env "DECK_AWS_GUARDRAILS_ID" }}
guardrails_version: ${{ env "DECK_AWS_GUARDRAILS_VERSION" }}
aws_region: ${{ env "DECK_AWS_REGION" }}
aws_assume_role_arn: ${{ env "DECK_AWS_ASSUME_ROLE_ARN" }}
aws_role_session_name: ${{ env "DECK_AWS_ROLE_SESSION_NAME" }}
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof the route the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/routes/{routeName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof 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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
routeId: Theidof 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-aws-guardrails
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
guardrails_id: '$AWS_GUARDRAILS_ID'
guardrails_version: '$AWS_GUARDRAILS_VERSION'
aws_region: '$AWS_REGION'
aws_assume_role_arn: '$AWS_ASSUME_ROLE_ARN'
aws_role_session_name: '$AWS_ROLE_SESSION_NAME'
plugin: ai-aws-guardrails
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the httproute or ingress resource:
kubectl annotate -n kong httproute konghq.com/plugins=ai-aws-guardrails
kubectl annotate -n kong ingress konghq.com/plugins=ai-aws-guardrails
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_aws_guardrails" "my_ai_aws_guardrails" {
enabled = true
config = {
guardrails_id = var.aws_guardrails_id
guardrails_version = var.aws_guardrails_version
aws_region = var.aws_region
aws_assume_role_arn = var.aws_assume_role_arn
aws_role_session_name = var.aws_role_session_name
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
route = {
id = konnect_gateway_route.my_route.id
}
}
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 "aws_role_session_name" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-aws-guardrails
consumer: consumerName|Id
config:
guardrails_id: ${{ env "DECK_AWS_GUARDRAILS_ID" }}
guardrails_version: ${{ env "DECK_AWS_GUARDRAILS_VERSION" }}
aws_region: ${{ env "DECK_AWS_REGION" }}
aws_assume_role_arn: ${{ env "DECK_AWS_ASSUME_ROLE_ARN" }}
aws_role_session_name: ${{ env "DECK_AWS_ROLE_SESSION_NAME" }}
Make sure to replace the following placeholders with your own values:
-
consumerName|Id: Theidornameof the consumer the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumers/{consumerName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
consumerName|Id: Theidornameof 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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
consumerId: Theidof 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-aws-guardrails
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
guardrails_id: '$AWS_GUARDRAILS_ID'
guardrails_version: '$AWS_GUARDRAILS_VERSION'
aws_region: '$AWS_REGION'
aws_assume_role_arn: '$AWS_ASSUME_ROLE_ARN'
aws_role_session_name: '$AWS_ROLE_SESSION_NAME'
plugin: ai-aws-guardrails
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumer resource:
kubectl annotate -n kong CONSUMER_NAME konghq.com/plugins=ai-aws-guardrails
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_aws_guardrails" "my_ai_aws_guardrails" {
enabled = true
config = {
guardrails_id = var.aws_guardrails_id
guardrails_version = var.aws_guardrails_version
aws_region = var.aws_region
aws_assume_role_arn = var.aws_assume_role_arn
aws_role_session_name = var.aws_role_session_name
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
consumer = {
id = konnect_gateway_consumer.my_consumer.id
}
}
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 "aws_role_session_name" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-aws-guardrails
consumer_group: consumerGroupName|Id
config:
guardrails_id: ${{ env "DECK_AWS_GUARDRAILS_ID" }}
guardrails_version: ${{ env "DECK_AWS_GUARDRAILS_VERSION" }}
aws_region: ${{ env "DECK_AWS_REGION" }}
aws_assume_role_arn: ${{ env "DECK_AWS_ASSUME_ROLE_ARN" }}
aws_role_session_name: ${{ env "DECK_AWS_ROLE_SESSION_NAME" }}
Make sure to replace the following placeholders with your own values:
-
consumerGroupName|Id: Theidornameof the consumer group the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumer_groups/{consumerGroupName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
consumerGroupName|Id: Theidornameof 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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-aws-guardrails",
"config": {
"guardrails_id": "'$AWS_GUARDRAILS_ID'",
"guardrails_version": "'$AWS_GUARDRAILS_VERSION'",
"aws_region": "'$AWS_REGION'",
"aws_assume_role_arn": "'$AWS_ASSUME_ROLE_ARN'",
"aws_role_session_name": "'$AWS_ROLE_SESSION_NAME'"
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
consumerGroupId: Theidof 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-aws-guardrails
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
guardrails_id: '$AWS_GUARDRAILS_ID'
guardrails_version: '$AWS_GUARDRAILS_VERSION'
aws_region: '$AWS_REGION'
aws_assume_role_arn: '$AWS_ASSUME_ROLE_ARN'
aws_role_session_name: '$AWS_ROLE_SESSION_NAME'
plugin: ai-aws-guardrails
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumerGroup resource:
kubectl annotate -n kong CONSUMERGROUP_NAME konghq.com/plugins=ai-aws-guardrails
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_aws_guardrails" "my_ai_aws_guardrails" {
enabled = true
config = {
guardrails_id = var.aws_guardrails_id
guardrails_version = var.aws_guardrails_version
aws_region = var.aws_region
aws_assume_role_arn = var.aws_assume_role_arn
aws_role_session_name = var.aws_role_session_name
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
consumer_group = {
id = konnect_gateway_consumer_group.my_consumer_group.id
}
}
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 "aws_role_session_name" {
type = string
}