Deploy a Flow

This guide deploys a single Flow exposed at POST /greeter, backed by Anthropic Claude.

1. Credentials

kubectl create secret generic anthropic-credentials \
  --from-literal=ANTHROPIC_API_KEY=sk-ant-...

2. Plugin

apiVersion: genkit.dev/v1alpha1
kind: PluginConfig
metadata:
  name: anthropic
spec:
  type: anthropic
  credentialsRef:
    name: anthropic-credentials
  credentialKeys: [ANTHROPIC_API_KEY]

3. Model

apiVersion: genkit.dev/v1alpha1
kind: Model
metadata:
  name: claude-opus
spec:
  provider: anthropic
  model: claude-opus-4-6
  pluginConfigRef:
    name: anthropic
  defaultConfig:
    temperature: 0.3
    maxOutputTokens: 1024

4. Prompt

apiVersion: genkit.dev/v1alpha1
kind: Prompt
metadata:
  name: greeting
spec:
  content: |
    ---
    model: anthropic/claude-opus-4-6
    temperature: 0.3
    ---
    Greet the user named {{name}} in a single sentence.

5. Flow

apiVersion: genkit.dev/v1alpha1
kind: Flow
metadata:
  name: greeter
spec:
  image: ghcr.io/xavidop/genkit-runner:v0.4.1
  modelRef: { name: claude-opus }
  promptRefs:
    - { name: greeting }
  port: 8080

6. Apply and verify

kubectl apply -f .
kubectl get gfl greeter
kubectl describe gfl greeter   # check Conditions

When Ready=True:

kubectl port-forward svc/greeter 8080:8080 &
curl -s -X POST http://localhost:8080/greeter \
  -H 'content-type: application/json' \
  -d '{"name":"Ada"}'

7. Iterate

Edit the Prompt, reapply, and watch the rolling update:

kubectl edit prompt greeting
kubectl rollout status deploy/greeter

You don’t need to bump anything else — the controller recomputes the content hash and patches the Deployment’s Pod template annotation automatically.