Chat route with Amazon Bedrock
Configure a chat route using Amazon Bedrock with the Meta Llama 3 70B Instruct model and the US East 1 AWS region.
The following configuration shows how to set up the AI Proxy plugin using AWS Access Key and AWS Secret Key credentials. Note that Kong AI Gateway can automatically fetch IAM role credentials based on your AWS environment, observing the following precedence order:
- Fetch from credentials defined in environment variables
AWS_ACCESS_KEY_IDandAWS_SECRET_ACCESS_KEY. - Fetch from profile and credential file, defined by
AWS_PROFILEandAWS_SHARED_CREDENTIALS_FILE. - Fetch from an ECS container credential provider.
- Fetch from an EKS IAM roles for service account.
- Fetch from EC2 IMDS metadata. Both v1 and v2 are supported
Prerequisites
- AWS account with access to Bedrock
Environment variables
-
AWS_ACCESS_KEY_ID: The AWS access key ID to use to connect to Bedrock. -
AWS_SECRET_ACCESS_KEY: The AWS secret access key to use to connect to Bedrock.
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-proxy
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: ${{ env "DECK_AWS_ACCESS_KEY_ID" }}
aws_secret_access_key: ${{ env "DECK_AWS_SECRET_ACCESS_KEY" }}
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
Make the following request:
curl -i -X POST http://localhost:8001/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
name: ai-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
labels:
global: 'true'
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: '$AWS_ACCESS_KEY_ID'
aws_secret_access_key: '$AWS_SECRET_ACCESS_KEY'
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
plugin: ai-proxy
" | kubectl apply -f -
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy" "my_ai_proxy" {
enabled = true
config = {
route_type = "llm/v1/chat"
auth = {
allow_override = false
aws_access_key_id = var.aws_access_key_id
aws_secret_access_key = var.aws_secret_access_key
}
model = {
provider = "bedrock"
name = "meta.llama3-70b-instruct-v1:0"
options = {
bedrock = {
aws_region = "us-east-1"
}
}
}
}
tags = []
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_secret_access_key" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-proxy
service: serviceName|Id
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: ${{ env "DECK_AWS_ACCESS_KEY_ID" }}
aws_secret_access_key: ${{ env "DECK_AWS_SECRET_ACCESS_KEY" }}
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof the service the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/services/{serviceName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
serviceId: Theidof the service the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: '$AWS_ACCESS_KEY_ID'
aws_secret_access_key: '$AWS_SECRET_ACCESS_KEY'
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
plugin: ai-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the service resource:
kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy" "my_ai_proxy" {
enabled = true
config = {
route_type = "llm/v1/chat"
auth = {
allow_override = false
aws_access_key_id = var.aws_access_key_id
aws_secret_access_key = var.aws_secret_access_key
}
model = {
provider = "bedrock"
name = "meta.llama3-70b-instruct-v1:0"
options = {
bedrock = {
aws_region = "us-east-1"
}
}
}
}
tags = []
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_secret_access_key" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-proxy
route: routeName|Id
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: ${{ env "DECK_AWS_ACCESS_KEY_ID" }}
aws_secret_access_key: ${{ env "DECK_AWS_SECRET_ACCESS_KEY" }}
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof the route the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/routes/{routeName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
routeId: Theidof the route the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: '$AWS_ACCESS_KEY_ID'
aws_secret_access_key: '$AWS_SECRET_ACCESS_KEY'
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
plugin: ai-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the httproute or ingress resource:
kubectl annotate -n kong httproute konghq.com/plugins=ai-proxy
kubectl annotate -n kong ingress konghq.com/plugins=ai-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy" "my_ai_proxy" {
enabled = true
config = {
route_type = "llm/v1/chat"
auth = {
allow_override = false
aws_access_key_id = var.aws_access_key_id
aws_secret_access_key = var.aws_secret_access_key
}
model = {
provider = "bedrock"
name = "meta.llama3-70b-instruct-v1:0"
options = {
bedrock = {
aws_region = "us-east-1"
}
}
}
}
tags = []
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_secret_access_key" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-proxy
consumer: consumerName|Id
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: ${{ env "DECK_AWS_ACCESS_KEY_ID" }}
aws_secret_access_key: ${{ env "DECK_AWS_SECRET_ACCESS_KEY" }}
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
Make sure to replace the following placeholders with your own values:
-
consumerName|Id: Theidornameof the consumer the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumers/{consumerName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
consumerId: Theidof the consumer the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: '$AWS_ACCESS_KEY_ID'
aws_secret_access_key: '$AWS_SECRET_ACCESS_KEY'
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
plugin: ai-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumer resource:
kubectl annotate -n kong CONSUMER_NAME konghq.com/plugins=ai-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy" "my_ai_proxy" {
enabled = true
config = {
route_type = "llm/v1/chat"
auth = {
allow_override = false
aws_access_key_id = var.aws_access_key_id
aws_secret_access_key = var.aws_secret_access_key
}
model = {
provider = "bedrock"
name = "meta.llama3-70b-instruct-v1:0"
options = {
bedrock = {
aws_region = "us-east-1"
}
}
}
}
tags = []
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_secret_access_key" {
type = string
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-proxy
consumer_group: consumerGroupName|Id
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: ${{ env "DECK_AWS_ACCESS_KEY_ID" }}
aws_secret_access_key: ${{ env "DECK_AWS_SECRET_ACCESS_KEY" }}
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
Make sure to replace the following placeholders with your own values:
-
consumerGroupName|Id: Theidornameof the consumer group the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumer_groups/{consumerGroupName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy",
"config": {
"route_type": "llm/v1/chat",
"auth": {
"allow_override": false,
"aws_access_key_id": "'$AWS_ACCESS_KEY_ID'",
"aws_secret_access_key": "'$AWS_SECRET_ACCESS_KEY'"
},
"model": {
"provider": "bedrock",
"name": "meta.llama3-70b-instruct-v1:0",
"options": {
"bedrock": {
"aws_region": "us-east-1"
}
}
}
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
consumerGroupId: Theidof the consumer group the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
route_type: llm/v1/chat
auth:
allow_override: false
aws_access_key_id: '$AWS_ACCESS_KEY_ID'
aws_secret_access_key: '$AWS_SECRET_ACCESS_KEY'
model:
provider: bedrock
name: meta.llama3-70b-instruct-v1:0
options:
bedrock:
aws_region: us-east-1
plugin: ai-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumerGroup resource:
kubectl annotate -n kong CONSUMERGROUP_NAME konghq.com/plugins=ai-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy" "my_ai_proxy" {
enabled = true
config = {
route_type = "llm/v1/chat"
auth = {
allow_override = false
aws_access_key_id = var.aws_access_key_id
aws_secret_access_key = var.aws_secret_access_key
}
model = {
provider = "bedrock"
name = "meta.llama3-70b-instruct-v1:0"
options = {
bedrock = {
aws_region = "us-east-1"
}
}
}
}
tags = []
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_secret_access_key" {
type = string
}