Load balancing: Least-connectionsv3.8+
v3.13+ Configure the plugin to use two OpenAI models and route requests to the backend with the highest spare capacity based on in-flight connection counts.
In this example, both models have equal weight (2), so requests are distributed based on which backend has fewer active connections. The algorithm automatically routes new requests to backends with more spare capacity, making it particularly effective when backends have varying response times.
Prerequisites
- An OpenAI account
Environment variables
-
OPENAI_API_KEY: The API key to use to connect to OpenAI.
Add this section to your kong.yaml configuration file:
kong.yaml
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_format_version: "3.0"
plugins:
- name: ai-proxy-advanced
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
Make the following request:
curl -i -X POST http://localhost:8001/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
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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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
labels:
global: 'true'
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
plugin: ai-proxy-advanced
" | kubectl apply -f -
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Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
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Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_proxy_advanced" "my_ai_proxy_advanced" {
enabled = true
config = {
balancer = {
algorithm = "least-connections"
retries = 3
failover_criteria = ["error", "timeout", "http_429", "non_idempotent"]
}
targets = [
{
model = {
name = "gpt-4o"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
},
{
model = {
name = "gpt-4o-mini"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
} ]
}
tags = []
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}
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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 "openai_api_key" {
type = string
}
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Add this section to your kong.yaml configuration file:
kong.yaml
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_format_version: "3.0"
plugins:
- name: ai-proxy-advanced
service: serviceName|Id
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof the service the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/services/{serviceName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
plugin: ai-proxy-advanced
" | kubectl apply -f -
Copied!
Next, apply the KongPlugin resource by annotating the service resource:
kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-proxy-advanced
Copied!
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy_advanced" "my_ai_proxy_advanced" {
enabled = true
config = {
balancer = {
algorithm = "least-connections"
retries = 3
failover_criteria = ["error", "timeout", "http_429", "non_idempotent"]
}
targets = [
{
model = {
name = "gpt-4o"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
},
{
model = {
name = "gpt-4o-mini"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
} ]
}
tags = []
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 "openai_api_key" {
type = string
}
Copied!
Add this section to your kong.yaml configuration file:
kong.yaml
Copied!
_format_version: "3.0"
plugins:
- name: ai-proxy-advanced
route: routeName|Id
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof the route the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/routes/{routeName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
plugin: ai-proxy-advanced
" | kubectl apply -f -
Copied!
Next, apply the KongPlugin resource by annotating the httproute or ingress resource:
kubectl annotate -n kong httproute konghq.com/plugins=ai-proxy-advanced
Copied!
kubectl annotate -n kong ingress konghq.com/plugins=ai-proxy-advanced
Copied!
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy_advanced" "my_ai_proxy_advanced" {
enabled = true
config = {
balancer = {
algorithm = "least-connections"
retries = 3
failover_criteria = ["error", "timeout", "http_429", "non_idempotent"]
}
targets = [
{
model = {
name = "gpt-4o"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
},
{
model = {
name = "gpt-4o-mini"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
} ]
}
tags = []
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 "openai_api_key" {
type = string
}
Copied!
Add this section to your kong.yaml configuration file:
kong.yaml
Copied!
_format_version: "3.0"
plugins:
- name: ai-proxy-advanced
consumer: consumerName|Id
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
Make sure to replace the following placeholders with your own values:
-
consumerName|Id: Theidornameof the consumer the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumers/{consumerName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
plugin: ai-proxy-advanced
" | kubectl apply -f -
Copied!
Next, apply the KongPlugin resource by annotating the KongConsumer resource:
kubectl annotate -n kong kongconsumer CONSUMER_NAME konghq.com/plugins=ai-proxy-advanced
Copied!
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy_advanced" "my_ai_proxy_advanced" {
enabled = true
config = {
balancer = {
algorithm = "least-connections"
retries = 3
failover_criteria = ["error", "timeout", "http_429", "non_idempotent"]
}
targets = [
{
model = {
name = "gpt-4o"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
},
{
model = {
name = "gpt-4o-mini"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
} ]
}
tags = []
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 "openai_api_key" {
type = string
}
Copied!
Add this section to your kong.yaml configuration file:
kong.yaml
Copied!
_format_version: "3.0"
plugins:
- name: ai-proxy-advanced
consumer_group: consumerGroupName|Id
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_OPENAI_API_KEY" }}
logging:
log_statistics: true
log_payloads: true
Make sure to replace the following placeholders with your own values:
-
consumerGroupName|Id: Theidornameof the consumer group the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/consumer_groups/{consumerGroupName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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 $KONNECT_TOKEN" \
--data '
{
"name": "ai-proxy-advanced",
"config": {
"balancer": {
"algorithm": "least-connections",
"retries": 3,
"failover_criteria": [
"error",
"timeout",
"http_429",
"non_idempotent"
]
},
"targets": [
{
"model": {
"name": "gpt-4o",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
},
{
"model": {
"name": "gpt-4o-mini",
"provider": "openai",
"options": {
"max_tokens": 1024,
"temperature": 1.0
}
},
"route_type": "llm/v1/chat",
"weight": 2,
"auth": {
"header_name": "Authorization",
"header_value": "Bearer '$OPENAI_API_KEY'"
},
"logging": {
"log_statistics": true,
"log_payloads": true
}
}
]
},
"tags": []
}
'
Copied!
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-advanced
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
konghq.com/tags: ''
config:
balancer:
algorithm: least-connections
retries: 3
failover_criteria:
- error
- timeout
- http_429
- non_idempotent
targets:
- model:
name: gpt-4o
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
- model:
name: gpt-4o-mini
provider: openai
options:
max_tokens: 1024
temperature: 1.0
route_type: llm/v1/chat
weight: 2
auth:
header_name: Authorization
header_value: Bearer $OPENAI_API_KEY
logging:
log_statistics: true
log_payloads: true
plugin: ai-proxy-advanced
" | kubectl apply -f -
Copied!
Next, apply the KongPlugin resource by annotating the KongConsumerGroup resource:
kubectl annotate -n kong kongconsumergroup CONSUMERGROUP_NAME konghq.com/plugins=ai-proxy-advanced
Copied!
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$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_proxy_advanced" "my_ai_proxy_advanced" {
enabled = true
config = {
balancer = {
algorithm = "least-connections"
retries = 3
failover_criteria = ["error", "timeout", "http_429", "non_idempotent"]
}
targets = [
{
model = {
name = "gpt-4o"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
},
{
model = {
name = "gpt-4o-mini"
provider = "openai"
options = {
max_tokens = 1024
temperature = 1.0
}
}
route_type = "llm/v1/chat"
weight = 2
auth = {
header_name = "Authorization"
header_value = "Bearer var.openai_api_key"
}
logging = {
log_statistics = true
log_payloads = true
}
} ]
}
tags = []
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 "openai_api_key" {
type = string
}
Copied!