c9d221d578
## Context
Phase 1 of the state-drift consolidation audit (plan Wave 3) identified that
the entire repo leans on a repeated `lifecycle { ignore_changes = [...dns_config] }`
snippet to suppress Kyverno's admission-webhook dns_config mutation (the ndots=2
override that prevents NxDomain search-domain flooding). 27 occurrences across
19 stacks. Without this suppression, every pod-owning resource shows perpetual
TF plan drift.
The original plan proposed a shared `modules/kubernetes/kyverno_lifecycle/`
module emitting the ignore-paths list as an output that stacks would consume in
their `ignore_changes` blocks. That approach is architecturally impossible:
Terraform's `ignore_changes` meta-argument accepts only static attribute paths
— it rejects module outputs, locals, variables, and any expression (the HCL
spec evaluates `lifecycle` before the regular expression graph). So a DRY
module cannot exist. The canonical pattern IS the repeated snippet.
What the snippet was missing was a *discoverability tag* so that (a) new
resources can be validated for compliance, (b) the existing 27 sites can be
grep'd in a single command, and (c) future maintainers understand the
convention rather than each reinventing it.
## This change
- Introduces `# KYVERNO_LIFECYCLE_V1` as the canonical marker comment.
Attached inline on every `spec[0].template[0].spec[0].dns_config` line
(or `spec[0].job_template[0].spec[0]...` for CronJobs) across all 27
existing suppression sites.
- Documents the convention with rationale and copy-paste snippets in
`AGENTS.md` → new "Kyverno Drift Suppression" section.
- Expands the existing `.claude/CLAUDE.md` Kyverno ndots note to reference
the marker and explain why the module approach is blocked.
- Updates `_template/main.tf.example` so every new stack starts compliant.
## What is NOT in this change
- The `kubernetes_manifest` Kyverno annotation drift (beads `code-seq`)
— that is Phase B with a sibling `# KYVERNO_MANIFEST_V1` marker.
- Behavioral changes — every `ignore_changes` list is byte-identical
save for the inline comment.
- The fallback module the original plan anticipated — skipped because
Terraform rejects expressions in `ignore_changes`.
- `terraform fmt` cleanup on adjacent unrelated blocks in three files
(claude-agent-service, freedify/factory, hermes-agent). Reverted to
keep this commit scoped to the convention rollout.
## Before / after
Before (cannot distinguish accidental-forgotten from intentional-convention):
```hcl
lifecycle {
ignore_changes = [spec[0].template[0].spec[0].dns_config]
}
```
After (greppable, self-documenting, discoverable by tooling):
```hcl
lifecycle {
ignore_changes = [spec[0].template[0].spec[0].dns_config] # KYVERNO_LIFECYCLE_V1
}
```
## Test Plan
### Automated
```
$ rg -c 'KYVERNO_LIFECYCLE_V1' stacks/ --include='*.tf' --include='*.tf.example' \
| awk -F: '{s+=$2} END {print s}'
27
$ git diff --stat | grep -E '\.(tf|tf\.example|md)$' | wc -l
21
# All code-file diffs are 1 insertion + 1 deletion per marker site,
# except beads-server (3), ebooks (4), immich (3), uptime-kuma (2).
$ git diff --stat stacks/ | tail -1
20 files changed, 45 insertions(+), 28 deletions(-)
```
### Manual Verification
No apply required — HCL comments only. Zero effect on any stack's plan output.
Future audits: `rg 'KYVERNO_LIFECYCLE_V1' stacks/ | wc -l` must grow as new
pod-owning resources are added.
## Reproduce locally
1. `cd infra && git pull`
2. `rg 'KYVERNO_LIFECYCLE_V1' stacks/` → expect 27 hits in 19 files
3. Grep any new `kubernetes_deployment` for the marker; absence = missing
suppression.
Closes: code-28m
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1210 lines
36 KiB
HCL
1210 lines
36 KiB
HCL
variable "tls_secret_name" {
|
|
type = string
|
|
sensitive = true
|
|
}
|
|
variable "nfs_server" { type = string }
|
|
|
|
data "vault_kv_secret_v2" "secrets" {
|
|
mount = "secret"
|
|
name = "openclaw"
|
|
}
|
|
|
|
locals {
|
|
skill_secrets = jsondecode(data.vault_kv_secret_v2.secrets.data["skill_secrets"])
|
|
}
|
|
|
|
|
|
resource "kubernetes_namespace" "openclaw" {
|
|
metadata {
|
|
name = "openclaw"
|
|
labels = {
|
|
tier = local.tiers.aux
|
|
"resource-governance/custom-limitrange" = "true"
|
|
"resource-governance/custom-quota" = "true"
|
|
}
|
|
}
|
|
}
|
|
|
|
module "tls_secret" {
|
|
source = "../../modules/kubernetes/setup_tls_secret"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
tls_secret_name = var.tls_secret_name
|
|
}
|
|
|
|
resource "kubernetes_manifest" "external_secret" {
|
|
manifest = {
|
|
apiVersion = "external-secrets.io/v1beta1"
|
|
kind = "ExternalSecret"
|
|
metadata = {
|
|
name = "openclaw-secrets"
|
|
namespace = "openclaw"
|
|
}
|
|
spec = {
|
|
refreshInterval = "15m"
|
|
secretStoreRef = {
|
|
name = "vault-kv"
|
|
kind = "ClusterSecretStore"
|
|
}
|
|
target = {
|
|
name = "openclaw-secrets"
|
|
}
|
|
dataFrom = [{
|
|
extract = {
|
|
key = "openclaw"
|
|
}
|
|
}]
|
|
}
|
|
}
|
|
depends_on = [kubernetes_namespace.openclaw]
|
|
}
|
|
|
|
resource "kubernetes_service_account" "openclaw" {
|
|
metadata {
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|
name = "openclaw"
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namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_cluster_role_binding" "openclaw" {
|
|
metadata {
|
|
name = "openclaw-cluster-admin"
|
|
}
|
|
subject {
|
|
kind = "ServiceAccount"
|
|
name = kubernetes_service_account.openclaw.metadata[0].name
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
role_ref {
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|
api_group = "rbac.authorization.k8s.io"
|
|
kind = "ClusterRole"
|
|
name = "cluster-admin"
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_secret" "ssh_key" {
|
|
metadata {
|
|
name = "ssh-key"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
data = {
|
|
"id_rsa" = data.vault_kv_secret_v2.secrets.data["ssh_key"]
|
|
}
|
|
type = "generic"
|
|
}
|
|
|
|
resource "kubernetes_config_map" "git_crypt_key" {
|
|
metadata {
|
|
name = "git-crypt-key"
|
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namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
data = {
|
|
"key" = filebase64("${path.root}/../../.git/git-crypt/keys/default")
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_config_map" "openclaw_config" {
|
|
metadata {
|
|
name = "openclaw-config"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
}
|
|
data = {
|
|
"openclaw.json" = jsonencode({
|
|
gateway = {
|
|
mode = "local"
|
|
bind = "lan"
|
|
trustedProxies = ["10.0.0.0/8"]
|
|
controlUi = {
|
|
dangerouslyDisableDeviceAuth = true
|
|
dangerouslyAllowHostHeaderOriginFallback = true
|
|
}
|
|
}
|
|
agents = {
|
|
defaults = {
|
|
contextTokens = 1000000
|
|
bootstrapMaxChars = 30000
|
|
workspace = "/workspace"
|
|
sandbox = {
|
|
mode = "off"
|
|
}
|
|
model = {
|
|
primary = "nim/qwen/qwen3.5-397b-a17b"
|
|
fallbacks = ["nim/mistralai/mistral-large-3-675b-instruct-2512", "nim/nvidia/llama-3.1-nemotron-ultra-253b-v1", "modelrelay/auto-fastest"]
|
|
}
|
|
models = {
|
|
"modelrelay/auto-fastest" = {}
|
|
"nim/deepseek-ai/deepseek-v3.2" = {}
|
|
"nim/qwen/qwen3.5-397b-a17b" = {}
|
|
"nim/mistralai/mistral-large-3-675b-instruct-2512" = {}
|
|
"nim/qwen/qwen3-coder-480b-a35b-instruct" = {}
|
|
"nim/nvidia/llama-3.1-nemotron-ultra-253b-v1" = {}
|
|
"nim/z-ai/glm5" = {}
|
|
"llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8" = {}
|
|
"llama-as-openai/Llama-4-Scout-17B-16E-Instruct-FP8" = {}
|
|
"openrouter/stepfun/step-3.5-flash:free" = {}
|
|
"openrouter/arcee-ai/trinity-large-preview:free" = {}
|
|
}
|
|
}
|
|
}
|
|
tools = {
|
|
profile = "full"
|
|
deny = []
|
|
elevated = {
|
|
enabled = true
|
|
}
|
|
exec = {
|
|
host = "gateway"
|
|
security = "full"
|
|
ask = "off"
|
|
pathPrepend = ["/tools", "/workspace"]
|
|
}
|
|
web = {
|
|
search = {
|
|
enabled = true
|
|
provider = "brave"
|
|
apiKey = data.vault_kv_secret_v2.secrets.data["brave_api_key"]
|
|
maxResults = 5
|
|
}
|
|
fetch = {
|
|
enabled = true
|
|
maxChars = 50000
|
|
timeoutSeconds = 30
|
|
}
|
|
}
|
|
}
|
|
plugins = {
|
|
allow = ["memory-core"]
|
|
slots = { memory = "memory-core" }
|
|
load = {
|
|
paths = ["/home/node/.openclaw/extensions", "/app/extensions"]
|
|
}
|
|
}
|
|
commands = {
|
|
native = true
|
|
nativeSkills = true
|
|
}
|
|
channels = {
|
|
telegram = {
|
|
enabled = true
|
|
botToken = data.vault_kv_secret_v2.secrets.data["telegram_bot_token"]
|
|
dmPolicy = "allowlist"
|
|
allowFrom = ["tg:8281953845"]
|
|
groupPolicy = "allowlist"
|
|
streamMode = "partial"
|
|
}
|
|
}
|
|
models = {
|
|
mode = "merge"
|
|
providers = {
|
|
modelrelay = {
|
|
baseUrl = "http://127.0.0.1:7352/v1"
|
|
api = "openai-completions"
|
|
apiKey = "modelrelay"
|
|
models = [
|
|
{ id = "auto-fastest", name = "Auto (Fastest)", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
|
|
]
|
|
}
|
|
nim = {
|
|
baseUrl = "https://integrate.api.nvidia.com/v1"
|
|
api = "openai-completions"
|
|
apiKey = data.vault_kv_secret_v2.secrets.data["nvidia_api_key"]
|
|
models = [
|
|
{ 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 } },
|
|
{ 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 } },
|
|
{ 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 } },
|
|
{ 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 } },
|
|
{ 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 } },
|
|
{ id = "z-ai/glm5", name = "GLM-5", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 16384, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
|
|
]
|
|
}
|
|
openrouter = {
|
|
baseUrl = "https://openrouter.ai/api/v1"
|
|
api = "openai-completions"
|
|
apiKey = data.vault_kv_secret_v2.secrets.data["openrouter_api_key"]
|
|
models = [
|
|
{ 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 } },
|
|
{ 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 } },
|
|
]
|
|
}
|
|
llama-as-openai = {
|
|
baseUrl = "https://api.llama.com/compat/v1"
|
|
apiKey = data.vault_kv_secret_v2.secrets.data["llama_api_key"]
|
|
api = "openai-completions"
|
|
models = [
|
|
{ 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 } },
|
|
{ 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 } },
|
|
]
|
|
}
|
|
}
|
|
}
|
|
wizard = {
|
|
lastRunAt = "2026-03-01T15:11:54.176Z"
|
|
lastRunVersion = "2026.2.9"
|
|
lastRunCommand = "configure"
|
|
lastRunMode = "local"
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
resource "random_password" "gateway_token" {
|
|
length = 32
|
|
special = false
|
|
}
|
|
|
|
module "nfs_tools_host" {
|
|
source = "../../modules/kubernetes/nfs_volume"
|
|
name = "openclaw-tools-host"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
nfs_server = "192.168.1.127"
|
|
nfs_path = "/srv/nfs/openclaw/tools"
|
|
}
|
|
|
|
resource "kubernetes_persistent_volume_claim" "home_proxmox" {
|
|
wait_until_bound = false
|
|
metadata {
|
|
name = "openclaw-home-proxmox"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
annotations = {
|
|
"resize.topolvm.io/threshold" = "80%"
|
|
"resize.topolvm.io/increase" = "100%"
|
|
"resize.topolvm.io/storage_limit" = "5Gi"
|
|
}
|
|
}
|
|
spec {
|
|
access_modes = ["ReadWriteOnce"]
|
|
storage_class_name = "proxmox-lvm"
|
|
resources {
|
|
requests = {
|
|
storage = "1Gi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
module "nfs_workspace_host" {
|
|
source = "../../modules/kubernetes/nfs_volume"
|
|
name = "openclaw-workspace-host"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
nfs_server = "192.168.1.127"
|
|
nfs_path = "/srv/nfs/openclaw/workspace"
|
|
}
|
|
|
|
resource "kubernetes_persistent_volume_claim" "data_proxmox" {
|
|
wait_until_bound = false
|
|
metadata {
|
|
name = "openclaw-data-proxmox"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
annotations = {
|
|
"resize.topolvm.io/threshold" = "80%"
|
|
"resize.topolvm.io/increase" = "100%"
|
|
"resize.topolvm.io/storage_limit" = "5Gi"
|
|
}
|
|
}
|
|
spec {
|
|
access_modes = ["ReadWriteOnce"]
|
|
storage_class_name = "proxmox-lvm"
|
|
resources {
|
|
requests = {
|
|
storage = "1Gi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
## cc-config NFS volume removed — replaced by dotfiles repo clone in init container
|
|
## See init_container "install-dotfiles" in the deployment
|
|
|
|
resource "kubernetes_deployment" "openclaw" {
|
|
metadata {
|
|
name = "openclaw"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "openclaw"
|
|
tier = local.tiers.aux
|
|
}
|
|
}
|
|
spec {
|
|
strategy {
|
|
type = "Recreate"
|
|
}
|
|
replicas = 1
|
|
selector {
|
|
match_labels = {
|
|
app = "openclaw"
|
|
}
|
|
}
|
|
template {
|
|
metadata {
|
|
labels = {
|
|
app = "openclaw"
|
|
}
|
|
annotations = {
|
|
"reloader.stakater.com/search" = "true"
|
|
}
|
|
}
|
|
spec {
|
|
service_account_name = kubernetes_service_account.openclaw.metadata[0].name
|
|
|
|
# Init 0: fix /workspace ownership so node user can write
|
|
init_container {
|
|
name = "fix-workspace-perms"
|
|
image = "busybox:1.37"
|
|
command = ["sh", "-c", "chown 1000:1000 /workspace"]
|
|
volume_mount {
|
|
name = "workspace"
|
|
mount_path = "/workspace"
|
|
}
|
|
}
|
|
|
|
# Init 1: copy openclaw.json from ConfigMap into writable NFS home
|
|
init_container {
|
|
name = "copy-config"
|
|
image = "busybox:1.37"
|
|
command = ["sh", "-c", "cp /config/openclaw.json /home/node/.openclaw/openclaw.json && chown 1000:1000 /home/node/.openclaw/openclaw.json"]
|
|
volume_mount {
|
|
name = "openclaw-config"
|
|
mount_path = "/config"
|
|
}
|
|
volume_mount {
|
|
name = "openclaw-home"
|
|
mount_path = "/home/node/.openclaw"
|
|
}
|
|
}
|
|
|
|
# Init 2 removed: install-dotfiles init container was cloning dotfiles
|
|
# repo via git on every pod start, causing 200+ small NFS writes.
|
|
# Dotfiles already exist on NFS at /home/node/.openclaw/dotfiles from
|
|
# a previous clone. To update, run git pull manually or via CronJob.
|
|
|
|
# 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 = "NODE_OPTIONS"
|
|
value = "--max-old-space-size=1536"
|
|
}
|
|
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_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "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 = "2Gi"
|
|
}
|
|
requests = {
|
|
cpu = "100m"
|
|
memory = "2Gi"
|
|
}
|
|
}
|
|
}
|
|
|
|
# Sidecar: playwright-mcp — headless browser for agents
|
|
container {
|
|
name = "playwright-mcp"
|
|
image = "docker.io/viktorbarzin/playwright-mcp:v1"
|
|
args = ["--headless", "--browser", "chromium", "--no-sandbox", "--port", "3000", "--host", "0.0.0.0"]
|
|
port {
|
|
container_port = 3000
|
|
}
|
|
resources {
|
|
requests = {
|
|
cpu = "50m"
|
|
memory = "256Mi"
|
|
}
|
|
limits = {
|
|
memory = "512Mi"
|
|
}
|
|
}
|
|
}
|
|
|
|
# Sidecar: modelrelay — auto-routes to fastest healthy free model
|
|
container {
|
|
name = "modelrelay"
|
|
image = "docker.io/library/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_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "nvidia_api_key"
|
|
}
|
|
}
|
|
}
|
|
env {
|
|
name = "OPENROUTER_API_KEY"
|
|
value_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "openrouter_api_key"
|
|
}
|
|
}
|
|
}
|
|
volume_mount {
|
|
name = "tools"
|
|
mount_path = "/tools"
|
|
}
|
|
resources {
|
|
limits = {
|
|
memory = "256Mi"
|
|
}
|
|
requests = {
|
|
cpu = "25m"
|
|
memory = "128Mi"
|
|
}
|
|
}
|
|
}
|
|
|
|
volume {
|
|
name = "tools"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_tools_host.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "openclaw-home"
|
|
persistent_volume_claim {
|
|
claim_name = kubernetes_persistent_volume_claim.home_proxmox.metadata[0].name
|
|
}
|
|
}
|
|
volume {
|
|
name = "workspace"
|
|
persistent_volume_claim {
|
|
claim_name = module.nfs_workspace_host.claim_name
|
|
}
|
|
}
|
|
volume {
|
|
name = "data"
|
|
persistent_volume_claim {
|
|
claim_name = kubernetes_persistent_volume_claim.data_proxmox.metadata[0].name
|
|
}
|
|
}
|
|
volume {
|
|
name = "ssh-key"
|
|
secret {
|
|
secret_name = kubernetes_secret.ssh_key.metadata[0].name
|
|
default_mode = "0600"
|
|
}
|
|
}
|
|
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"
|
|
dns_type = "non-proxied"
|
|
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="$FORGEJO_TOKEN" \
|
|
FORGEJO_URL="http://forgejo.forgejo.svc.cluster.local" \
|
|
OPENCLAW_TOKEN="$OPENCLAW_TOKEN" \
|
|
OPENCLAW_URL="https://integrate.api.nvidia.com" \
|
|
bash /workspace/infra/scripts/task-processor.sh
|
|
EOF
|
|
]
|
|
|
|
env {
|
|
name = "FORGEJO_TOKEN"
|
|
value_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "forgejo_api_token"
|
|
}
|
|
}
|
|
}
|
|
env {
|
|
name = "OPENCLAW_TOKEN"
|
|
value_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "nvidia_api_key"
|
|
}
|
|
}
|
|
}
|
|
|
|
resources {
|
|
requests = {
|
|
cpu = "50m"
|
|
memory = "64Mi"
|
|
}
|
|
limits = {
|
|
memory = "64Mi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
# --- OpenLobster: Multi-user Telegram AI assistant (trial) ---
|
|
|
|
resource "kubernetes_persistent_volume_claim" "openlobster_data_proxmox" {
|
|
wait_until_bound = false
|
|
metadata {
|
|
name = "openlobster-data-proxmox"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
annotations = {
|
|
"resize.topolvm.io/threshold" = "80%"
|
|
"resize.topolvm.io/increase" = "100%"
|
|
"resize.topolvm.io/storage_limit" = "5Gi"
|
|
}
|
|
}
|
|
spec {
|
|
access_modes = ["ReadWriteOnce"]
|
|
storage_class_name = "proxmox-lvm"
|
|
resources {
|
|
requests = {
|
|
storage = "1Gi"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
resource "random_password" "openlobster_graphql_token" {
|
|
length = 32
|
|
special = false
|
|
}
|
|
|
|
resource "kubernetes_deployment" "openlobster" {
|
|
metadata {
|
|
name = "openlobster"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "openlobster"
|
|
tier = local.tiers.aux
|
|
}
|
|
}
|
|
spec {
|
|
strategy {
|
|
type = "Recreate"
|
|
}
|
|
replicas = 0
|
|
selector {
|
|
match_labels = {
|
|
app = "openlobster"
|
|
}
|
|
}
|
|
template {
|
|
metadata {
|
|
labels = {
|
|
app = "openlobster"
|
|
}
|
|
}
|
|
spec {
|
|
# node4 has corrupted containerd content store — avoid it
|
|
affinity {
|
|
node_affinity {
|
|
required_during_scheduling_ignored_during_execution {
|
|
node_selector_term {
|
|
match_expressions {
|
|
key = "kubernetes.io/hostname"
|
|
operator = "NotIn"
|
|
values = ["k8s-node4"]
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
container {
|
|
name = "openlobster"
|
|
image = "ghcr.io/neirth/openlobster/openlobster:latest"
|
|
port {
|
|
container_port = 8080
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_GRAPHQL_AUTH_TOKEN"
|
|
value = random_password.openlobster_graphql_token.result
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_PROVIDERS_ANTHROPIC_API_KEY"
|
|
value_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "anthropic_api_key"
|
|
}
|
|
}
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_PROVIDERS_ANTHROPIC_MODEL"
|
|
value = "claude-sonnet-4-20250514"
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_CHANNELS_TELEGRAM_TOKEN"
|
|
value_from {
|
|
secret_key_ref {
|
|
name = "openclaw-secrets"
|
|
key = "telegram_bot_token"
|
|
}
|
|
}
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_DATABASE_DRIVER"
|
|
value = "sqlite"
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_DATABASE_DSN"
|
|
value = "/app/data/openlobster.db"
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_AGENT_NAME"
|
|
value = "Lobster"
|
|
}
|
|
env {
|
|
name = "OPENLOBSTER_MEMORY_BACKEND"
|
|
value = "file"
|
|
}
|
|
volume_mount {
|
|
name = "openlobster-data"
|
|
mount_path = "/app/data"
|
|
}
|
|
resources {
|
|
requests = {
|
|
cpu = "10m"
|
|
memory = "64Mi"
|
|
}
|
|
limits = {
|
|
memory = "256Mi"
|
|
}
|
|
}
|
|
}
|
|
volume {
|
|
name = "openlobster-data"
|
|
persistent_volume_claim {
|
|
claim_name = kubernetes_persistent_volume_claim.openlobster_data_proxmox.metadata[0].name
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
lifecycle {
|
|
ignore_changes = [spec[0].template[0].spec[0].dns_config] # KYVERNO_LIFECYCLE_V1
|
|
}
|
|
}
|
|
|
|
resource "kubernetes_service" "openlobster" {
|
|
metadata {
|
|
name = "openlobster"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
labels = {
|
|
app = "openlobster"
|
|
}
|
|
}
|
|
spec {
|
|
selector = {
|
|
app = "openlobster"
|
|
}
|
|
port {
|
|
port = 80
|
|
target_port = 8080
|
|
}
|
|
}
|
|
}
|
|
|
|
module "openlobster_ingress" {
|
|
source = "../../modules/kubernetes/ingress_factory"
|
|
dns_type = "proxied"
|
|
namespace = kubernetes_namespace.openclaw.metadata[0].name
|
|
name = "openlobster"
|
|
tls_secret_name = var.tls_secret_name
|
|
host = "openlobster"
|
|
port = 80
|
|
protected = true
|
|
}
|