k8s-and-chill/rendered/envs/production/traefik/customresourcedefinition-aiservices.hub.traefik.io.yaml
Felix Wolf c7bfd4953c feat: Wire ArgoCD to Forgejo for GitOps management
Configure myks with global repoURL pointing to Forgejo, in-cluster
destination, and disabled placeholder cluster Secret. Implement App of
Apps pattern with a root Application that syncs all child apps.

Add argocd-deploy-key-init Job that generates an ed25519 SSH keypair,
registers it as a deploy key via Forgejo API, and creates the ArgoCD
repository secret with insecure host key verification (avoids
chicken-and-egg with ArgoCD managing its own known hosts ConfigMap).

Additional changes:
- Ignore /status field diffs globally (K8s 1.32 compat)
- Add Replace=true sync option on Jobs (immutable resource compat)
- Switch job images from bitnami/kubectl to alpine/k8s
- Update CLAUDE.md with ArgoCD status and no-bitnami rule

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-30 23:09:50 +02:00

340 lines
13 KiB
YAML

apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
annotations:
a8r.io/repository: ssh://git@git.tr1ceracop.de:222/gitea_admin/k8s-and-chill.git
controller-gen.kubebuilder.io/version: v0.17.1
name: aiservices.hub.traefik.io
namespace: traefik
spec:
group: hub.traefik.io
names:
kind: AIService
listKind: AIServiceList
plural: aiservices
singular: aiservice
scope: Namespaced
versions:
- name: v1alpha1
schema:
openAPIV3Schema:
description: AIService is a Kubernetes-like Service to interact with a text-based LLM provider. It defines the parameters and credentials required to interact with various LLM providers.
properties:
apiVersion:
description: |-
APIVersion defines the versioned schema of this representation of an object.
Servers should convert recognized schemas to the latest internal value, and
may reject unrecognized values.
More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources
type: string
kind:
description: |-
Kind is a string value representing the REST resource this object represents.
Servers may infer this from the endpoint the client submits requests to.
Cannot be updated.
In CamelCase.
More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds
type: string
metadata:
type: object
spec:
description: The desired behavior of this AIService.
properties:
anthropic:
description: Anthropic configures Anthropic backend.
properties:
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
token:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
type: object
azureOpenai:
description: AzureOpenAI configures AzureOpenAI.
properties:
apiKeySecret:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
baseUrl:
type: string
deploymentName:
type: string
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
required:
- baseUrl
- deploymentName
type: object
bedrock:
description: Bedrock configures Bedrock backend.
properties:
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
region:
type: string
systemMessage:
type: boolean
type: object
cohere:
description: Cohere configures Cohere backend.
properties:
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
token:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
type: object
deepSeek:
description: DeepSeek configures DeepSeek.
properties:
baseUrl:
type: string
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
token:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
type: object
gemini:
description: Gemini configures Gemini backend.
properties:
apiKey:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
type: object
mistral:
description: Mistral configures Mistral AI backend.
properties:
apiKey:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
type: object
ollama:
description: Ollama configures Ollama backend.
properties:
baseUrl:
type: string
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
required:
- baseUrl
type: object
openai:
description: OpenAI configures OpenAI.
properties:
baseUrl:
type: string
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
token:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
type: object
qWen:
description: QWen configures QWen.
properties:
baseUrl:
type: string
model:
type: string
params:
description: Params holds the LLM hyperparameters.
properties:
frequencyPenalty:
type: number
maxTokens:
type: integer
presencePenalty:
type: number
temperature:
type: number
topP:
type: number
type: object
token:
description: SecretReference references a kubernetes secret.
properties:
secretName:
maxLength: 253
type: string
required:
- secretName
type: object
type: object
type: object
type: object
served: true
storage: true