Files
zeekayandzooqueen f76b49caa6 docs: render gym.zoo.ngo site framework-free (drop ML-introspecting autodoc)
quarto render now succeeds CPU-only with no framework import:
- _quarto.yml: drop pre-render config generator + quartodoc API block
  (both require importing torch/transformers + GPU-only mamba_ssm)
- docs/config-reference.qmd: hand-written reference (force-tracked) so the
  six in-doc links resolve
- docs/custom_integrations.qmd: fix hardcoded src/axolotl -> src/gym path
- Dockerfile.site: slim quarto+jupyter build, serve _site via hanzoai/spa
- deploy/k8s.yaml: zoo-gym Deployment+Service+IngressRoute in zoo-mainnet
2026-09-11 13:50:57 -07:00

81 lines
1.7 KiB
YAML

# gym.zoo.ngo — Zoo Gym docs (Quarto static site served via ghcr.io/hanzoai/spa)
# Mirrors the live zoo-mainnet/zoo-computer objects exactly.
# Image tag is patched in at deploy time (sha-<short>).
apiVersion: apps/v1
kind: Deployment
metadata:
name: zoo-gym
namespace: zoo-mainnet
labels:
app: zoo-gym
spec:
replicas: 1
selector:
matchLabels:
app: zoo-gym
template:
metadata:
labels:
app: zoo-gym
spec:
imagePullSecrets:
- name: ghcr-luxfi
containers:
- name: spa
image: IMAGE_PLACEHOLDER
imagePullPolicy: Always
ports:
- containerPort: 3000
protocol: TCP
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 10
periodSeconds: 30
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 2
periodSeconds: 10
resources:
requests:
cpu: 50m
memory: 32Mi
limits:
cpu: 200m
memory: 256Mi
---
apiVersion: v1
kind: Service
metadata:
name: zoo-gym
namespace: zoo-mainnet
labels:
app: zoo-gym
spec:
selector:
app: zoo-gym
ports:
- port: 3000
targetPort: 3000
protocol: TCP
---
apiVersion: hanzo.ai/v1alpha1
kind: IngressRoute
metadata:
name: zoo-gym
namespace: zoo-mainnet
spec:
entryPoints:
- websecure
routes:
- kind: Rule
match: Host(`gym.zoo.ngo`)
services:
- name: zoo-gym
port: 3000
tls:
certResolver: letsencrypt