Enable LLM model rate limitingv3.14+
Protect your LLM services with model rate limiting. The AI Rate Limiting Advanced plugin will analyze query costs and token response to provide an enterprise-grade rate limiting strategy.
The following example uses GPT 5.1, but you can apply the same strategies to any LLM model.
Prerequisites
- AI Proxy Advanced plugin configured with an LLM service
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-rate-limiting-advanced
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
Make the following request:
curl -i -X POST http://localhost:8001/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
name: ai-rate-limiting-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
labels:
global: 'true'
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_rate_limiting_advanced" "my_ai_rate_limiting_advanced" {
enabled = true
config = {
policies = [
{
match = [
{
type = "model"
partition_by = true
values = ["gpt-5.1"]
} ]
limits = [
{
limit = 100
window_size = 60
},
{
limit = 1000
window_size = 3600
} ]
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-rate-limiting-advanced
service: serviceName|Id
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
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-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
serviceId: Theidof the service the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-rate-limiting-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the service resource:
kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-rate-limiting-advanced
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_rate_limiting_advanced" "my_ai_rate_limiting_advanced" {
enabled = true
config = {
policies = [
{
match = [
{
type = "model"
partition_by = true
values = ["gpt-5.1"]
} ]
limits = [
{
limit = 100
window_size = 60
},
{
limit = 1000
window_size = 3600
} ]
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
service = {
id = konnect_gateway_service.my_service.id
}
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-rate-limiting-advanced
route: routeName|Id
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
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-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
routeId: Theidof the route the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-rate-limiting-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the httproute or ingress resource:
kubectl annotate -n kong httproute konghq.com/plugins=ai-rate-limiting-advanced
kubectl annotate -n kong ingress konghq.com/plugins=ai-rate-limiting-advanced
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_rate_limiting_advanced" "my_ai_rate_limiting_advanced" {
enabled = true
config = {
policies = [
{
match = [
{
type = "model"
partition_by = true
values = ["gpt-5.1"]
} ]
limits = [
{
limit = 100
window_size = 60
},
{
limit = 1000
window_size = 3600
} ]
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
route = {
id = konnect_gateway_route.my_route.id
}
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-rate-limiting-advanced
consumer: consumerName|Id
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
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-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
consumerId: Theidof the consumer the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-rate-limiting-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumer resource:
kubectl annotate -n kong kongconsumer CONSUMER_NAME konghq.com/plugins=ai-rate-limiting-advanced
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_rate_limiting_advanced" "my_ai_rate_limiting_advanced" {
enabled = true
config = {
policies = [
{
match = [
{
type = "model"
partition_by = true
values = ["gpt-5.1"]
} ]
limits = [
{
limit = 100
window_size = 60
},
{
limit = 1000
window_size = 3600
} ]
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
consumer = {
id = konnect_gateway_consumer.my_consumer.id
}
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-rate-limiting-advanced
consumer_group: consumerGroupName|Id
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
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-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-rate-limiting-advanced",
"config": {
"policies": [
{
"match": [
{
"type": "model",
"partition_by": true,
"values": [
"gpt-5.1"
]
}
],
"limits": [
{
"limit": 100,
"window_size": 60
},
{
"limit": 1000,
"window_size": 3600
}
]
}
]
},
"tags": []
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
controlPlaneId: Theidof the control plane. -
consumerGroupId: Theidof the consumer group the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-rate-limiting-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
policies:
- match:
- type: model
partition_by: true
values:
- gpt-5.1
limits:
- limit: 100
window_size: 60
- limit: 1000
window_size: 3600
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the KongConsumerGroup resource:
kubectl annotate -n kong kongconsumergroup CONSUMERGROUP_NAME konghq.com/plugins=ai-rate-limiting-advanced
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_rate_limiting_advanced" "my_ai_rate_limiting_advanced" {
enabled = true
config = {
policies = [
{
match = [
{
type = "model"
partition_by = true
values = ["gpt-5.1"]
} ]
limits = [
{
limit = 100
window_size = 60
},
{
limit = 1000
window_size = 3600
} ]
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
consumer_group = {
id = konnect_gateway_consumer_group.my_consumer_group.id
}
}