AI Rate Limiting Advanced: Request prompt function - Plugin

Request prompt functionv3.7+

Protect your LLM services with 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 request prompt rate limiting, which lets you you rate limit requests based on a custom token.

Prerequisites

AI Proxy plugin or AI Proxy Advanced plugin configured with an LLM service

Set up the plugin

Add this section to your declarative configuration file:

_format_version: "3.0"
plugins:
  - name: ai-rate-limiting-advanced
    config:
      llm_providers:
      - name: requestPrompt
        limit:
        - 100
        - 1000
        window_size:
        - 60
        - 3600
      request_prompt_count_function: 'return #kong.request.get_raw_body()'

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": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
  labels:
    global: 'true'
config:
  llm_providers:
  - name: requestPrompt
    limit:
    - 100
    - 1000
    window_size:
    - 60
    - 3600
  request_prompt_count_function: 'return #kong.request.get_raw_body()'
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 = {
    llm_providers = [
      {
        name = "requestPrompt"
        limit = [100, 1000]
        window_size = [60, 3600]
      }    ]
    request_prompt_count_function = "return #kong.request.get_raw_body()"
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}

Add this section to your declarative configuration file:

_format_version: "3.0"
plugins:
  - name: ai-rate-limiting-advanced
    service: serviceName|Id
    config:
      llm_providers:
      - name: requestPrompt
        limit:
        - 100
        - 1000
        window_size:
        - 60
        - 3600
      request_prompt_count_function: 'return #kong.request.get_raw_body()'

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  llm_providers:
  - name: requestPrompt
    limit:
    - 100
    - 1000
    window_size:
    - 60
    - 3600
  request_prompt_count_function: 'return #kong.request.get_raw_body()'
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 = {
    llm_providers = [
      {
        name = "requestPrompt"
        limit = [100, 1000]
        window_size = [60, 3600]
      }    ]
    request_prompt_count_function = "return #kong.request.get_raw_body()"
  }

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

Add this section to your declarative configuration file:

_format_version: "3.0"
plugins:
  - name: ai-rate-limiting-advanced
    route: routeName|Id
    config:
      llm_providers:
      - name: requestPrompt
        limit:
        - 100
        - 1000
        window_size:
        - 60
        - 3600
      request_prompt_count_function: 'return #kong.request.get_raw_body()'

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  llm_providers:
  - name: requestPrompt
    limit:
    - 100
    - 1000
    window_size:
    - 60
    - 3600
  request_prompt_count_function: 'return #kong.request.get_raw_body()'
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 = {
    llm_providers = [
      {
        name = "requestPrompt"
        limit = [100, 1000]
        window_size = [60, 3600]
      }    ]
    request_prompt_count_function = "return #kong.request.get_raw_body()"
  }

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

Add this section to your declarative configuration file:

_format_version: "3.0"
plugins:
  - name: ai-rate-limiting-advanced
    consumer: consumerName|Id
    config:
      llm_providers:
      - name: requestPrompt
        limit:
        - 100
        - 1000
        window_size:
        - 60
        - 3600
      request_prompt_count_function: 'return #kong.request.get_raw_body()'

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  llm_providers:
  - name: requestPrompt
    limit:
    - 100
    - 1000
    window_size:
    - 60
    - 3600
  request_prompt_count_function: 'return #kong.request.get_raw_body()'
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -

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

kubectl annotate -n kong  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 = {
    llm_providers = [
      {
        name = "requestPrompt"
        limit = [100, 1000]
        window_size = [60, 3600]
      }    ]
    request_prompt_count_function = "return #kong.request.get_raw_body()"
  }

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

Add this section to your declarative configuration file:

_format_version: "3.0"
plugins:
  - name: ai-rate-limiting-advanced
    consumer_group: consumerGroupName|Id
    config:
      llm_providers:
      - name: requestPrompt
        limit:
        - 100
        - 1000
        window_size:
        - 60
        - 3600
      request_prompt_count_function: 'return #kong.request.get_raw_body()'

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced",
      "config": {
        "llm_providers": [
          {
            "name": "requestPrompt",
            "limit": [
              100,
              1000
            ],
            "window_size": [
              60,
              3600
            ]
          }
        ],
        "request_prompt_count_function": "return #kong.request.get_raw_body()"
      }
    }
    '

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-rate-limiting-advanced
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
config:
  llm_providers:
  - name: requestPrompt
    limit:
    - 100
    - 1000
    window_size:
    - 60
    - 3600
  request_prompt_count_function: 'return #kong.request.get_raw_body()'
plugin: ai-rate-limiting-advanced
" | kubectl apply -f -

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

kubectl annotate -n kong  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 = {
    llm_providers = [
      {
        name = "requestPrompt"
        limit = [100, 1000]
        window_size = [60, 3600]
      }    ]
    request_prompt_count_function = "return #kong.request.get_raw_body()"
  }

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

AI Rate Limiting Advanced

Request prompt functionv3.7+

Prerequisites

Set up the plugin

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