Gateway Configuration

The GatewayConfig CRD provides gateway-scoped configuration for the AI Gateway external processor container. This allows you to configure environment variables and resource requirements at the Gateway level, rather than at the route level.

Overview

Use GatewayConfig when you need to:

• Configure per-gateway OpenTelemetry tracing settings
• Set resource requirements (CPU/memory) for the external processor
• Share configuration across multiple Gateways
• Configure environment variables for different gateway instances without affecting others

Usage

Creating a GatewayConfig

Create a GatewayConfig resource with your desired configuration:

apiVersion: aigateway.envoyproxy.io/v1alpha1
kind: GatewayConfig
metadata:
  name: my-gateway-config
  namespace: default
spec:
  extProc:
    env:
      - name: OTEL_EXPORTER_OTLP_ENDPOINT
        value: "http://otel-collector:4317"
      - name: OTEL_SERVICE_NAME
        value: "my-ai-gateway"
    resources:
      requests:
        cpu: "100m"
        memory: "128Mi"
      limits:
        cpu: "500m"
        memory: "512Mi"

Referencing from a Gateway

Reference the GatewayConfig from your Gateway using an annotation:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: my-gateway
  namespace: default
  annotations:
    aigateway.envoyproxy.io/gateway-config: my-gateway-config
spec:
  gatewayClassName: envoy-gateway
  listeners:
    - name: http
      protocol: HTTP
      port: 8080

note

The GatewayConfig must be in the same namespace as the Gateway that references it.

Configuration Options

Environment Variables

The spec.extProc.env field accepts a list of Kubernetes EnvVar objects:

spec:
  extProc:
    env:
      - name: OTEL_EXPORTER_OTLP_ENDPOINT
        value: "http://otel-collector:4317"
      - name: OTEL_EXPORTER_OTLP_HEADERS
        value: "api-key=your-secret"
      - name: LOG_LEVEL
        value: "debug"

Resource Requirements

The spec.extProc.resources field configures compute resources for the external processor container:

spec:
  extProc:
    resources:
      requests:
        cpu: "100m"
        memory: "128Mi"
      limits:
        cpu: "500m"
        memory: "512Mi"

If not specified, Kubernetes default resource allocations are used.

Environment Variable Precedence

Environment variables can be configured at multiple levels. The precedence order is (highest to lowest):

1. GatewayConfig.spec.extProc.env - Highest priority
2. Global controller flags (--extproc-extra-env-vars) - Lower priority

When the same environment variable is defined at multiple levels, the higher precedence value is used.

Example

If the controller is started with:

--extproc-extra-env-vars="LOG_LEVEL=info;GLOBAL_VAR=global"

And a GatewayConfig defines:

env:
  - name: LOG_LEVEL
    value: "debug"
  - name: CONFIG_VAR
    value: "config"

The resulting environment variables will be:

• LOG_LEVEL=debug (GatewayConfig overrides global)
• GLOBAL_VAR=global (from global)
• CONFIG_VAR=config (from GatewayConfig)

Shared Configuration

Multiple Gateways can reference the same GatewayConfig:

apiVersion: aigateway.envoyproxy.io/v1alpha1
kind: GatewayConfig
metadata:
  name: shared-config
spec:
  extProc:
    env:
      - name: OTEL_SERVICE_NAME
        value: "ai-gateway-cluster"
---
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: gateway-1
  annotations:
    aigateway.envoyproxy.io/gateway-config: shared-config
spec:
  # ...
---
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: gateway-2
  annotations:
    aigateway.envoyproxy.io/gateway-config: shared-config
spec:
  # ...

Migration from Route-Level Configuration

The route-level resource configuration (AIGatewayRoute.spec.filterConfig.externalProcessor.resources) is deprecated. Migrate to GatewayConfig:

Before (deprecated)

apiVersion: aigateway.envoyproxy.io/v1alpha1
kind: AIGatewayRoute
metadata:
  name: my-route
spec:
  filterConfig:
    type: ExternalProcessor
    externalProcessor:
      resources:
        requests:
          cpu: "100m"
          memory: "128Mi"

After (recommended)

apiVersion: aigateway.envoyproxy.io/v1alpha1
kind: GatewayConfig
metadata:
  name: my-config
spec:
  extProc:
    resources:
      requests:
        cpu: "100m"
        memory: "128Mi"
---
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: my-gateway
  annotations:
    aigateway.envoyproxy.io/gateway-config: my-config
spec:
  # ...

Status

The GatewayConfig status reports the validity of the configuration:

status:
  conditions:
    - type: Accepted
      status: "True"
      reason: Accepted
      message: "GatewayConfig reconciled successfully"

Possible condition types:

• Accepted: The configuration is valid and applied
• NotAccepted: The configuration has validation errors

See Also

• Tracing - Configure distributed tracing for AI Gateway
• Metrics - Configure metrics collection
• Examples - Example YAML files