eb0301b02b
openclaw: 1536Mi -> 768Mi, affine: 256Mi -> 128Mi, rybbit: 512Mi -> 384Mi. Also patched via kubectl: aiostreams, cloudflared, crowdsec, uptime-kuma, vaultwarden, pgadmin, phpmyadmin, goflow2, sealed-secrets, ebook2audiobook.
1116 lines
37 KiB
HCL
1116 lines
37 KiB
HCL
variable "tls_secret_name" {
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type = string
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sensitive = true
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}
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variable "nfs_server" { type = string }
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data "vault_kv_secret_v2" "secrets" {
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mount = "secret"
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name = "openclaw"
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}
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locals {
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skill_secrets = jsondecode(data.vault_kv_secret_v2.secrets.data["skill_secrets"])
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}
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resource "kubernetes_namespace" "openclaw" {
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metadata {
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name = "openclaw"
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labels = {
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tier = local.tiers.aux
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}
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}
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}
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module "tls_secret" {
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source = "../../modules/kubernetes/setup_tls_secret"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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tls_secret_name = var.tls_secret_name
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}
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resource "kubernetes_service_account" "openclaw" {
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metadata {
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name = "openclaw"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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}
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}
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resource "kubernetes_cluster_role_binding" "openclaw" {
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metadata {
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name = "openclaw-cluster-admin"
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}
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subject {
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kind = "ServiceAccount"
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name = kubernetes_service_account.openclaw.metadata[0].name
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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}
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role_ref {
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api_group = "rbac.authorization.k8s.io"
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kind = "ClusterRole"
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name = "cluster-admin"
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}
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}
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resource "kubernetes_secret" "ssh_key" {
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metadata {
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name = "ssh-key"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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}
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data = {
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"id_rsa" = data.vault_kv_secret_v2.secrets.data["ssh_key"]
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}
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type = "generic"
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}
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resource "kubernetes_config_map" "git_crypt_key" {
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metadata {
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name = "git-crypt-key"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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}
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data = {
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"key" = filebase64("${path.root}/../../.git/git-crypt/keys/default")
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}
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}
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resource "kubernetes_config_map" "openclaw_config" {
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metadata {
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name = "openclaw-config"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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}
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data = {
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"openclaw.json" = jsonencode({
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gateway = {
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mode = "local"
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bind = "lan"
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trustedProxies = ["10.0.0.0/8"]
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controlUi = {
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dangerouslyDisableDeviceAuth = true
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dangerouslyAllowHostHeaderOriginFallback = true
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}
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}
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agents = {
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defaults = {
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contextTokens = 1000000
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bootstrapMaxChars = 30000
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workspace = "/workspace/infra"
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sandbox = {
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mode = "off"
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}
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model = {
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primary = "anthropic/claude-sonnet-4-20250514"
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fallbacks = ["nim/mistralai/mistral-large-3-675b-instruct-2512", "nim/nvidia/llama-3.1-nemotron-ultra-253b-v1", "modelrelay/auto-fastest"]
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}
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models = {
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"anthropic/claude-sonnet-4-20250514" = {}
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"anthropic/claude-opus-4-20250514" = {}
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"anthropic/claude-haiku-4-20250506" = {}
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"modelrelay/auto-fastest" = {}
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"nim/deepseek-ai/deepseek-v3.2" = {}
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"nim/qwen/qwen3.5-397b-a17b" = {}
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"nim/mistralai/mistral-large-3-675b-instruct-2512" = {}
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"nim/qwen/qwen3-coder-480b-a35b-instruct" = {}
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"nim/nvidia/llama-3.1-nemotron-ultra-253b-v1" = {}
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"nim/z-ai/glm5" = {}
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"llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8" = {}
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"llama-as-openai/Llama-4-Scout-17B-16E-Instruct-FP8" = {}
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"openrouter/stepfun/step-3.5-flash:free" = {}
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"openrouter/arcee-ai/trinity-large-preview:free" = {}
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}
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}
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}
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tools = {
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profile = "full"
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deny = []
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elevated = {
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enabled = true
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}
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exec = {
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host = "gateway"
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security = "full"
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ask = "off"
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pathPrepend = ["/tools", "/workspace/infra"]
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}
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web = {
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search = {
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enabled = true
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provider = "brave"
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apiKey = data.vault_kv_secret_v2.secrets.data["brave_api_key"]
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maxResults = 5
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}
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fetch = {
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enabled = true
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maxChars = 50000
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timeoutSeconds = 30
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}
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}
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}
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plugins = {
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allow = ["memory-api"]
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slots = {
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memory = "memory-api"
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}
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load = {
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paths = ["/home/node/.openclaw/extensions"]
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}
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}
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commands = {
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native = true
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nativeSkills = true
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}
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channels = {
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telegram = {
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enabled = true
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botToken = data.vault_kv_secret_v2.secrets.data["telegram_bot_token"]
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dmPolicy = "allowlist"
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allowFrom = ["tg:8281953845"]
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groupPolicy = "allowlist"
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streamMode = "partial"
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}
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}
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models = {
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mode = "merge"
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providers = {
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modelrelay = {
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baseUrl = "http://127.0.0.1:7352/v1"
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api = "openai-completions"
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apiKey = "modelrelay"
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models = [
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{ id = "auto-fastest", name = "Auto (Fastest)", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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anthropic = {
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baseUrl = "https://api.anthropic.com/v1"
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api = "anthropic-messages"
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apiKey = data.vault_kv_secret_v2.secrets.data["anthropic_api_key"]
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models = [
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{ id = "claude-sonnet-4-20250514", name = "Claude Sonnet 4", reasoning = true, input = ["text", "image"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0.003, output = 0.015, cacheRead = 0.0003, cacheWrite = 0.00375 } },
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{ id = "claude-opus-4-20250514", name = "Claude Opus 4", reasoning = true, input = ["text", "image"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0.015, output = 0.075, cacheRead = 0.0015, cacheWrite = 0.01875 } },
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{ id = "claude-haiku-4-20250506", name = "Claude Haiku 4", reasoning = false, input = ["text", "image"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0.0008, output = 0.004, cacheRead = 0.00008, cacheWrite = 0.001 } },
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]
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}
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nim = {
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baseUrl = "https://integrate.api.nvidia.com/v1"
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api = "openai-completions"
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apiKey = data.vault_kv_secret_v2.secrets.data["nvidia_api_key"]
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models = [
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{ id = "deepseek-ai/deepseek-v3.2", name = "DeepSeek V3.2", reasoning = false, input = ["text"], contextWindow = 164000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "qwen/qwen3.5-397b-a17b", name = "Qwen 3.5", reasoning = true, input = ["text"], contextWindow = 262000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "mistralai/mistral-large-3-675b-instruct-2512", name = "Mistral Large 3", reasoning = false, input = ["text"], contextWindow = 262000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "qwen/qwen3-coder-480b-a35b-instruct", name = "Qwen 3 Coder", reasoning = false, input = ["text"], contextWindow = 262000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "nvidia/llama-3.1-nemotron-ultra-253b-v1", name = "Nemotron Ultra 253B", reasoning = true, input = ["text"], contextWindow = 128000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "z-ai/glm5", name = "GLM-5", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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openrouter = {
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baseUrl = "https://openrouter.ai/api/v1"
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api = "openai-completions"
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apiKey = data.vault_kv_secret_v2.secrets.data["openrouter_api_key"]
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models = [
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{ id = "stepfun/step-3.5-flash:free", name = "Step 3.5 Flash", reasoning = true, input = ["text"], contextWindow = 256000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "arcee-ai/trinity-large-preview:free", name = "Trinity Large", reasoning = false, input = ["text"], contextWindow = 131000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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llama-as-openai = {
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baseUrl = "https://api.llama.com/compat/v1"
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apiKey = data.vault_kv_secret_v2.secrets.data["llama_api_key"]
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api = "openai-completions"
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models = [
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{ id = "Llama-4-Maverick-17B-128E-Instruct-FP8", name = "Llama 4 Maverick", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "Llama-4-Scout-17B-16E-Instruct-FP8", name = "Llama 4 Scout", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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}
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}
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wizard = {
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lastRunAt = "2026-03-01T15:11:54.176Z"
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lastRunVersion = "2026.2.9"
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lastRunCommand = "configure"
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lastRunMode = "local"
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}
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})
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}
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}
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resource "random_password" "gateway_token" {
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length = 32
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special = false
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}
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module "nfs_tools" {
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source = "../../modules/kubernetes/nfs_volume"
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name = "openclaw-tools"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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nfs_server = var.nfs_server
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nfs_path = "/mnt/main/openclaw/tools"
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}
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module "nfs_openclaw_home" {
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source = "../../modules/kubernetes/nfs_volume"
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name = "openclaw-home"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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nfs_server = var.nfs_server
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nfs_path = "/mnt/main/openclaw/home"
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}
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module "nfs_workspace" {
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source = "../../modules/kubernetes/nfs_volume"
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name = "openclaw-workspace"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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nfs_server = var.nfs_server
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nfs_path = "/mnt/main/openclaw/workspace"
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}
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module "nfs_data" {
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source = "../../modules/kubernetes/nfs_volume"
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name = "openclaw-data"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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nfs_server = var.nfs_server
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nfs_path = "/mnt/main/openclaw/data"
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}
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module "nfs_cc_config" {
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source = "../../modules/kubernetes/nfs_volume"
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name = "cc-config"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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nfs_server = var.nfs_server
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nfs_path = "/mnt/main/openclaw/cc-config"
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}
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resource "kubernetes_deployment" "openclaw" {
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metadata {
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name = "openclaw"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
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labels = {
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app = "openclaw"
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tier = local.tiers.aux
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}
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}
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spec {
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strategy {
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type = "Recreate"
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}
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replicas = 1
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selector {
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match_labels = {
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app = "openclaw"
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}
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}
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template {
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metadata {
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labels = {
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app = "openclaw"
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}
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}
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spec {
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service_account_name = kubernetes_service_account.openclaw.metadata[0].name
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# Init container: Download tools + clone repo (parallelized, cached on NFS)
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init_container {
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name = "setup"
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image = "alpine:3.20"
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command = ["sh", "-c", <<-EOF
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set -e
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apk add --no-cache curl unzip git-crypt openssh-client git bash
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# Install Python packages (skip if already cached)
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if [ ! -f /tools/python-libs/.installed ]; then
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python3 -m ensurepip 2>/dev/null || apk add --no-cache py3-pip
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pip3 install --break-system-packages --target=/tools/python-libs requests caldav icalendar uptime-kuma-api
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touch /tools/python-libs/.installed
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else
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echo "Python packages already cached, skipping pip install"
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fi
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# Copy OpenClaw config to writable home dir
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cp /openclaw-config-src/openclaw.json /openclaw-home/openclaw.json
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# Setup SSH key
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mkdir -p /root/.ssh
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cp /ssh/id_rsa /root/.ssh/id_rsa
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chmod 600 /root/.ssh/id_rsa
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ssh-keyscan github.com >> /root/.ssh/known_hosts 2>/dev/null
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# --- Download tools only if missing or version changed ---
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# kubectl
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if [ ! -x /tools/kubectl ]; then
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(curl -sL --retry 3 --retry-delay 5 "https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl" -o /tools/kubectl && chmod +x /tools/kubectl) &
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PID_KUBECTL=$!
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else
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echo "kubectl already cached" & PID_KUBECTL=$!
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fi
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# terraform
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if [ ! -x /tools/terraform ]; then
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(curl -sL --retry 3 --retry-delay 5 "https://releases.hashicorp.com/terraform/1.14.5/terraform_1.14.5_linux_amd64.zip" -o /tmp/tf.zip && unzip -q /tmp/tf.zip -d /tools && chmod +x /tools/terraform && rm /tmp/tf.zip) &
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PID_TF=$!
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else
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echo "terraform already cached" & PID_TF=$!
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fi
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|
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# terragrunt
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if [ ! -x /tools/terragrunt ]; then
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(curl -sL --retry 3 --retry-delay 5 "https://github.com/gruntwork-io/terragrunt/releases/download/v0.99.4/terragrunt_linux_amd64" -o /tools/terragrunt && chmod +x /tools/terragrunt) &
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PID_TG=$!
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else
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echo "terragrunt already cached" & PID_TG=$!
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fi
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|
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# git-crypt
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if [ ! -x /tools/git-crypt ]; then
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cp /usr/bin/git-crypt /tools/git-crypt
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fi
|
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|
|
# Clone/pull repo
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|
if [ ! -d /workspace/infra/.git ]; then
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git clone git@github.com:ViktorBarzin/infra.git /workspace/infra &
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PID_GIT=$!
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else
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(cd /workspace/infra && git pull --ff-only || true) &
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PID_GIT=$!
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fi
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|
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# Wait for all parallel tasks
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wait $PID_KUBECTL || { echo "kubectl download failed"; exit 1; }
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wait $PID_TF || { echo "terraform download failed"; exit 1; }
|
|
wait $PID_TG || { echo "terragrunt download failed"; exit 1; }
|
|
wait $PID_GIT || { echo "git clone/pull failed"; exit 1; }
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|
|
|
# Unlock git-crypt (needs clone done)
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cd /workspace/infra
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echo "$GIT_CRYPT_KEY" | base64 -d > /tmp/git-crypt-key
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git-crypt unlock /tmp/git-crypt-key || true
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rm /tmp/git-crypt-key
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|
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# Mark repo as safe for the node user (different UID from init container)
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|
git config --global --add safe.directory /workspace/infra
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cp /root/.gitconfig /openclaw-home/.gitconfig 2>/dev/null || true
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|
chown -R 1000:1000 /workspace/infra
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|
|
|
# Symlink Claude skills into OpenClaw skills directory
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|
ln -sfn /workspace/infra/.claude/skills /openclaw-home/skills
|
|
|
|
# Pull shared CC config from NFS bare repo
|
|
if [ ! -d /openclaw-home/cc-config/.git ]; then
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|
git clone /cc-config/cc-config.git /openclaw-home/cc-config 2>/dev/null || true
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|
else
|
|
(cd /openclaw-home/cc-config && git pull --ff-only) || true
|
|
fi
|
|
|
|
# Apply shared config to OpenClaw
|
|
if [ -d /openclaw-home/cc-config ]; then
|
|
# Copy shared CLAUDE.md (global knowledge)
|
|
[ -f /openclaw-home/cc-config/CLAUDE.md ] && \
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|
cp /openclaw-home/cc-config/CLAUDE.md /openclaw-home/CLAUDE.md
|
|
|
|
# Copy shared skills (separate dir from infra skills)
|
|
if [ -d /openclaw-home/cc-config/skills ]; then
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mkdir -p /openclaw-home/cc-skills
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|
cp -r /openclaw-home/cc-config/skills/* /openclaw-home/cc-skills/ 2>/dev/null || true
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fi
|
|
|
|
# Copy shared memory
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|
if [ -d /openclaw-home/cc-config/memory ]; then
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|
mkdir -p /openclaw-home/memory
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|
cp -r /openclaw-home/cc-config/memory/* /openclaw-home/memory/ 2>/dev/null || true
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fi
|
|
|
|
# Copy commands, hooks, agents
|
|
for d in commands hooks agents; do
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|
if [ -d /openclaw-home/cc-config/$d ]; then
|
|
mkdir -p /openclaw-home/$d
|
|
cp -r /openclaw-home/cc-config/$d/* /openclaw-home/$d/ 2>/dev/null || true
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fi
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|
done
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fi
|
|
|
|
# Install memory-api plugin from GitHub (always pull latest)
|
|
if [ -d /openclaw-home/extensions/memory-api/.git ]; then
|
|
(cd /openclaw-home/extensions/memory-api && git pull --ff-only) || true
|
|
else
|
|
rm -rf /openclaw-home/extensions/memory-api
|
|
git clone --depth 1 git@github.com:ViktorBarzin/claude-memory-mcp.git /tmp/claude-memory-mcp
|
|
mkdir -p /openclaw-home/extensions/memory-api
|
|
cp -r /tmp/claude-memory-mcp/openclaw-plugin/* /openclaw-home/extensions/memory-api/
|
|
rm -rf /tmp/claude-memory-mcp
|
|
fi
|
|
|
|
# Create required directories (owned by node user, UID 1000)
|
|
mkdir -p /openclaw-home/agents/main/sessions /openclaw-home/credentials /openclaw-home/canvas /openclaw-home/devices /openclaw-home/cron /openclaw-home/cc-skills /openclaw-home/memory
|
|
chown -R 1000:1000 /openclaw-home
|
|
chmod 700 /openclaw-home
|
|
|
|
# Generate kubeconfig from in-cluster ServiceAccount credentials
|
|
SA_TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
|
|
SA_CA=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt
|
|
cat > /openclaw-home/kubeconfig <<-KUBEEOF
|
|
apiVersion: v1
|
|
kind: Config
|
|
clusters:
|
|
- cluster:
|
|
certificate-authority-data: $(base64 < "$SA_CA" | tr -d '\n')
|
|
server: https://kubernetes.default.svc
|
|
name: in-cluster
|
|
contexts:
|
|
- context:
|
|
cluster: in-cluster
|
|
user: openclaw
|
|
name: in-cluster
|
|
current-context: in-cluster
|
|
users:
|
|
- name: openclaw
|
|
user:
|
|
token: $SA_TOKEN
|
|
KUBEEOF
|
|
|
|
echo "Setup complete: kubectl, terraform, terragrunt, git-crypt installed"
|
|
EOF
|
|
]
|
|
env {
|
|
name = "GIT_CRYPT_KEY"
|
|
value_from {
|
|
config_map_key_ref {
|
|
name = kubernetes_config_map.git_crypt_key.metadata[0].name
|
|
key = "key"
|
|
}
|
|
}
|
|
}
|
|
volume_mount {
|
|
name = "tools"
|
|
mount_path = "/tools"
|
|
}
|
|
volume_mount {
|
|
name = "workspace"
|
|
mount_path = "/workspace"
|
|
}
|
|
volume_mount {
|
|
name = "ssh-key"
|
|
mount_path = "/ssh"
|
|
}
|
|
volume_mount {
|
|
name = "openclaw-home"
|
|
mount_path = "/openclaw-home"
|
|
}
|
|
volume_mount {
|
|
name = "openclaw-config"
|
|
mount_path = "/openclaw-config-src"
|
|
}
|
|
volume_mount {
|
|
name = "cc-config"
|
|
mount_path = "/cc-config"
|
|
}
|
|
}
|
|
|
|
# Main container: OpenClaw
|
|
container {
|
|
name = "openclaw"
|
|
image = "ghcr.io/openclaw/openclaw:2026.2.26"
|
|
command = ["sh", "-c", "node openclaw.mjs doctor --fix 2>/dev/null; exec node openclaw.mjs gateway --allow-unconfigured --bind lan"]
|
|
port {
|
|
container_port = 18789
|
|
}
|
|
readiness_probe {
|
|
tcp_socket {
|
|
port = 18789
|
|
}
|
|
initial_delay_seconds = 30
|
|
period_seconds = 10
|
|
}
|
|
env {
|
|
name = "OPENCLAW_GATEWAY_TOKEN"
|
|
value = random_password.gateway_token.result
|
|
}
|
|
env {
|
|
name = "PATH"
|
|
value = "/tools:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
|
|
}
|
|
env {
|
|
name = "TF_VAR_prod"
|
|
value = "true"
|
|
}
|
|
env {
|
|
name = "KUBECONFIG"
|
|
value = "/home/node/.openclaw/kubeconfig"
|
|
}
|
|
env {
|
|
name = "GIT_CONFIG_GLOBAL"
|
|
value = "/home/node/.openclaw/.gitconfig"
|
|
}
|
|
# Skill secrets - Home Assistant
|
|
env {
|
|
name = "HOME_ASSISTANT_URL"
|
|
value = "https://ha-london.viktorbarzin.me"
|
|
}
|
|
env {
|
|
name = "HOME_ASSISTANT_TOKEN"
|
|
value = local.skill_secrets["home_assistant_token"]
|
|
}
|
|
env {
|
|
name = "HOME_ASSISTANT_SOFIA_URL"
|
|
value = "https://ha-sofia.viktorbarzin.me"
|
|
}
|
|
env {
|
|
name = "HOME_ASSISTANT_SOFIA_TOKEN"
|
|
value = local.skill_secrets["home_assistant_sofia_token"]
|
|
}
|
|
# Skill secrets - Uptime Kuma
|
|
env {
|
|
name = "UPTIME_KUMA_PASSWORD"
|
|
value = local.skill_secrets["uptime_kuma_password"]
|
|
}
|
|
# Skill secrets - Slack
|
|
env {
|
|
name = "SLACK_WEBHOOK_URL"
|
|
value = local.skill_secrets["slack_webhook"]
|
|
}
|
|
# Memory API
|
|
env {
|
|
name = "MEMORY_API_URL"
|
|
value = "http://claude-memory.claude-memory.svc.cluster.local"
|
|
}
|
|
env {
|
|
name = "MEMORY_API_KEY"
|
|
value = data.vault_kv_secret_v2.secrets.data["claude_memory_api_key"]
|
|
}
|
|
# Python packages path for skills
|
|
env {
|
|
name = "PYTHONPATH"
|
|
value = "/tools/python-libs"
|
|
}
|
|
volume_mount {
|
|
name = "tools"
|
|
mount_path = "/tools"
|
|
}
|
|
volume_mount {
|
|
name = "workspace"
|
|
mount_path = "/workspace"
|
|
}
|
|
volume_mount {
|
|
name = "data"
|
|
mount_path = "/data"
|
|
}
|
|
volume_mount {
|
|
name = "ssh-key"
|
|
mount_path = "/ssh"
|
|
}
|
|
volume_mount {
|
|
name = "openclaw-home"
|
|
mount_path = "/home/node/.openclaw"
|
|
}
|
|
resources {
|
|
limits = {
|
|
memory = "768Mi"
|
|
}
|
|
requests = {
|
|
cpu = "100m"
|
|
memory = "768Mi"
|
|
}
|
|
}
|
|
}
|
|
|
|
# Sidecar: modelrelay — auto-routes to fastest healthy free model
|
|
container {
|
|
name = "modelrelay"
|
|
image = "node:22-alpine"
|
|
command = ["sh", "-c", <<-EOF
|
|
if [ ! -f /tools/modelrelay/node_modules/.package-lock.json ]; then
|
|
mkdir -p /tools/modelrelay
|
|
cd /tools/modelrelay
|
|
npm init -y > /dev/null 2>&1
|
|
npm install modelrelay > /dev/null 2>&1
|
|
fi
|
|
cd /tools/modelrelay
|
|
exec npx modelrelay --port 7352
|
|
EOF
|
|
]
|
|
port {
|
|
container_port = 7352
|
|
}
|
|
env {
|
|
name = "NVIDIA_API_KEY"
|
|
value = data.vault_kv_secret_v2.secrets.data["nvidia_api_key"]
|
|
}
|
|
env {
|
|
name = "OPENROUTER_API_KEY"
|
|
value = data.vault_kv_secret_v2.secrets.data["openrouter_api_key"]
|
|
}
|
|
volume_mount {
|
|
name = "tools"
|
|
mount_path = "/tools"
|
|
}
|
|
resources {
|
|
limits = {
|
|
memory = "256Mi"
|
|
}
|
|
requests = {
|
|
cpu = "25m"
|
|
memory = "256Mi"
|
|
}
|
|
}
|
|
}
|
|
|
|
volume {
|
|
name = "tools"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_tools.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "openclaw-home"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_openclaw_home.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "workspace"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_workspace.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "data"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_data.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "ssh-key"
|
|
secret {
|
|
secret_name = kubernetes_secret.ssh_key.metadata[0].name
|
|
default_mode = "0600"
|
|
}
|
|
}
|
|
volume {
|
|
name = "cc-config"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_cc_config.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "openclaw-config"
|
|
config_map {
|
|
name = kubernetes_config_map.openclaw_config.metadata[0].name
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_service" "openclaw" {
|
|
metadata {
|
|
name = "openclaw"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "openclaw"
|
|
}
|
|
}
|
|
spec {
|
|
selector = {
|
|
app = "openclaw"
|
|
}
|
|
port {
|
|
port = 80
|
|
target_port = 18789
|
|
}
|
|
}
|
|
}
|
|
|
|
module "ingress" {
|
|
source = "../../modules/kubernetes/ingress_factory"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
name = "openclaw"
|
|
tls_secret_name = var.tls_secret_name
|
|
port = 80
|
|
protected = true
|
|
extra_annotations = {
|
|
"gethomepage.dev/enabled" = "true"
|
|
"gethomepage.dev/name" = "OpenClaw"
|
|
"gethomepage.dev/description" = "AI assistant"
|
|
"gethomepage.dev/icon" = "openai.png"
|
|
"gethomepage.dev/group" = "AI & Data"
|
|
"gethomepage.dev/pod-selector" = ""
|
|
}
|
|
}
|
|
|
|
# --- Webhook receiver: triggers task-processor Job on Forgejo issue events ---
|
|
|
|
resource "kubernetes_config_map" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
data = {
|
|
"server.py" = <<-PYEOF
|
|
from http.server import HTTPServer, BaseHTTPRequestHandler
|
|
import subprocess, time, json, os
|
|
|
|
BOT_USER = os.environ.get('FORGEJO_BOT_USER', 'viktor')
|
|
|
|
class Handler(BaseHTTPRequestHandler):
|
|
def do_POST(self):
|
|
try:
|
|
body = self.rfile.read(int(self.headers.get('Content-Length', 0)))
|
|
data = json.loads(body)
|
|
action = data.get('action', '')
|
|
|
|
# Trigger on: new issue, reopened issue, or new comment
|
|
trigger = False
|
|
if action in ('opened', 'reopened'):
|
|
issue = data.get('issue', {})
|
|
print(f"Issue #{issue.get('number','?')} {action}: {issue.get('title','?')}")
|
|
trigger = True
|
|
elif action == 'created' and 'comment' in data:
|
|
comment = data.get('comment', {})
|
|
commenter = comment.get('user', {}).get('login', '')
|
|
# Skip comments from the bot itself to avoid loops
|
|
if commenter != BOT_USER:
|
|
issue = data.get('issue', {})
|
|
print(f"Comment on #{issue.get('number','?')} by {commenter}")
|
|
trigger = True
|
|
else:
|
|
print(f"Skipping own comment on #{data.get('issue',{}).get('number','?')}")
|
|
|
|
if trigger:
|
|
job_name = f"task-processor-{int(time.time())}"
|
|
subprocess.run([
|
|
'kubectl', 'create', 'job', job_name,
|
|
'--from=cronjob/task-processor',
|
|
'-n', 'openclaw'
|
|
], check=True)
|
|
self.send_response(200)
|
|
self.end_headers()
|
|
self.wfile.write(b'{"ok":true}')
|
|
else:
|
|
self.send_response(200)
|
|
self.end_headers()
|
|
self.wfile.write(b'{"ok":true,"skipped":true}')
|
|
except Exception as e:
|
|
print(f"Error: {e}")
|
|
self.send_response(500)
|
|
self.end_headers()
|
|
self.wfile.write(f'{{"error":"{e}"}}'.encode())
|
|
|
|
def do_GET(self):
|
|
self.send_response(200)
|
|
self.end_headers()
|
|
self.wfile.write(b'{"status":"ok"}')
|
|
|
|
def log_message(self, fmt, *args):
|
|
print(f"[webhook] {args[0]} {args[1]} {args[2]}")
|
|
|
|
print("Task webhook receiver listening on :8080")
|
|
HTTPServer(('', 8080), Handler).serve_forever()
|
|
PYEOF
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_service_account" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_role" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook-job-creator"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
rule {
|
|
api_groups = ["batch"]
|
|
resources = ["jobs", "cronjobs"]
|
|
verbs = ["get", "list", "create"]
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_role_binding" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook-job-creator"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
subject {
|
|
kind = "ServiceAccount"
|
|
name = kubernetes_service_account.task_webhook.metadata[0].name
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
role_ref {
|
|
api_group = "rbac.authorization.k8s.io"
|
|
kind = "Role"
|
|
name = kubernetes_role.task_webhook.metadata[0].name
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_deployment" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "task-webhook"
|
|
tier = local.tiers.aux
|
|
}
|
|
}
|
|
spec {
|
|
replicas = 1
|
|
selector {
|
|
match_labels = {
|
|
app = "task-webhook"
|
|
}
|
|
}
|
|
template {
|
|
metadata {
|
|
labels = {
|
|
app = "task-webhook"
|
|
}
|
|
}
|
|
spec {
|
|
service_account_name = kubernetes_service_account.task_webhook.metadata[0].name
|
|
container {
|
|
name = "webhook"
|
|
image = "python:3-alpine"
|
|
command = ["sh", "-c", "apk add --no-cache curl > /dev/null 2>&1 && curl -sfL https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl -o /usr/local/bin/kubectl && chmod +x /usr/local/bin/kubectl && exec python3 -u /app/server.py"]
|
|
port {
|
|
container_port = 8080
|
|
}
|
|
volume_mount {
|
|
name = "app"
|
|
mount_path = "/app"
|
|
}
|
|
resources {
|
|
requests = {
|
|
cpu = "5m"
|
|
memory = "64Mi"
|
|
}
|
|
limits = {
|
|
memory = "64Mi"
|
|
}
|
|
}
|
|
}
|
|
volume {
|
|
name = "app"
|
|
config_map {
|
|
name = kubernetes_config_map.task_webhook.metadata[0].name
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_service" "task_webhook" {
|
|
metadata {
|
|
name = "task-webhook"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "task-webhook"
|
|
}
|
|
}
|
|
spec {
|
|
selector = {
|
|
app = "task-webhook"
|
|
}
|
|
port {
|
|
port = 80
|
|
target_port = 8080
|
|
}
|
|
}
|
|
}
|
|
|
|
module "task_webhook_ingress" {
|
|
source = "../../modules/kubernetes/ingress_factory"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
name = "task-webhook"
|
|
tls_secret_name = var.tls_secret_name
|
|
host = "task-webhook"
|
|
port = 80
|
|
}
|
|
|
|
# --- CronJob: Scheduled cluster health check ---
|
|
|
|
resource "kubernetes_service_account" "healthcheck" {
|
|
metadata {
|
|
name = "cluster-healthcheck"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_role" "healthcheck_exec" {
|
|
metadata {
|
|
name = "healthcheck-pod-exec"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
rule {
|
|
api_groups = [""]
|
|
resources = ["pods"]
|
|
verbs = ["get", "list"]
|
|
}
|
|
rule {
|
|
api_groups = [""]
|
|
resources = ["pods/exec"]
|
|
verbs = ["create"]
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_role_binding" "healthcheck_exec" {
|
|
metadata {
|
|
name = "healthcheck-pod-exec"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
subject {
|
|
kind = "ServiceAccount"
|
|
name = kubernetes_service_account.healthcheck.metadata[0].name
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
role_ref {
|
|
api_group = "rbac.authorization.k8s.io"
|
|
kind = "Role"
|
|
name = kubernetes_role.healthcheck_exec.metadata[0].name
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_cron_job_v1" "cluster_healthcheck" {
|
|
metadata {
|
|
name = "cluster-healthcheck"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "cluster-healthcheck"
|
|
tier = local.tiers.aux
|
|
}
|
|
}
|
|
spec {
|
|
schedule = "0 */8 * * *"
|
|
concurrency_policy = "Forbid"
|
|
failed_jobs_history_limit = 3
|
|
successful_jobs_history_limit = 3
|
|
|
|
job_template {
|
|
metadata {
|
|
labels = {
|
|
app = "cluster-healthcheck"
|
|
}
|
|
}
|
|
spec {
|
|
active_deadline_seconds = 300
|
|
backoff_limit = 0
|
|
template {
|
|
metadata {
|
|
labels = {
|
|
app = "cluster-healthcheck"
|
|
}
|
|
}
|
|
spec {
|
|
service_account_name = kubernetes_service_account.healthcheck.metadata[0].name
|
|
restart_policy = "Never"
|
|
|
|
container {
|
|
name = "healthcheck"
|
|
image = "bitnami/kubectl:latest"
|
|
command = ["bash", "-c", <<-EOF
|
|
# Find the openclaw pod
|
|
POD=$(kubectl get pods -n openclaw -l app=openclaw -o jsonpath='{.items[0].metadata.name}' 2>/dev/null)
|
|
if [ -z "$POD" ]; then
|
|
echo "ERROR: OpenClaw pod not found"
|
|
exit 1
|
|
fi
|
|
echo "Executing health check in pod $POD..."
|
|
kubectl exec -n openclaw "$POD" -c openclaw -- bash /workspace/infra/.claude/cluster-health.sh
|
|
EOF
|
|
]
|
|
|
|
resources {
|
|
requests = {
|
|
cpu = "50m"
|
|
memory = "64Mi"
|
|
}
|
|
limits = {
|
|
memory = "64Mi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
# --- CronJob: Task processor — polls Forgejo issues and triggers OpenClaw ---
|
|
|
|
resource "kubernetes_cron_job_v1" "task_processor" {
|
|
metadata {
|
|
name = "task-processor"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "task-processor"
|
|
tier = local.tiers.aux
|
|
}
|
|
}
|
|
spec {
|
|
schedule = "*/5 * * * *"
|
|
concurrency_policy = "Forbid"
|
|
failed_jobs_history_limit = 3
|
|
successful_jobs_history_limit = 3
|
|
|
|
job_template {
|
|
metadata {
|
|
labels = {
|
|
app = "task-processor"
|
|
}
|
|
}
|
|
spec {
|
|
active_deadline_seconds = 600
|
|
backoff_limit = 0
|
|
template {
|
|
metadata {
|
|
labels = {
|
|
app = "task-processor"
|
|
}
|
|
}
|
|
spec {
|
|
service_account_name = kubernetes_service_account.healthcheck.metadata[0].name
|
|
restart_policy = "Never"
|
|
|
|
container {
|
|
name = "task-processor"
|
|
image = "bitnami/kubectl:latest"
|
|
command = ["bash", "-c", <<-EOF
|
|
# Find the openclaw pod
|
|
POD=$(kubectl get pods -n openclaw -l app=openclaw -o jsonpath='{.items[0].metadata.name}' 2>/dev/null)
|
|
if [ -z "$POD" ]; then
|
|
echo "ERROR: OpenClaw pod not found"
|
|
exit 1
|
|
fi
|
|
echo "Executing task processor in pod $POD..."
|
|
kubectl exec -n openclaw "$POD" -c openclaw -- \
|
|
env FORGEJO_TOKEN="$FORGEJO_TOKEN" \
|
|
OPENCLAW_TOKEN="$OPENCLAW_TOKEN" \
|
|
OPENCLAW_URL="https://integrate.api.nvidia.com" \
|
|
bash /workspace/infra/scripts/task-processor.sh
|
|
EOF
|
|
]
|
|
|
|
env {
|
|
name = "FORGEJO_TOKEN"
|
|
value = data.vault_kv_secret_v2.secrets.data["forgejo_api_token"]
|
|
}
|
|
env {
|
|
name = "OPENCLAW_TOKEN"
|
|
value = data.vault_kv_secret_v2.secrets.data["nvidia_api_key"]
|
|
}
|
|
|
|
resources {
|
|
requests = {
|
|
cpu = "50m"
|
|
memory = "64Mi"
|
|
}
|
|
limits = {
|
|
memory = "64Mi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|