ci: add automated PR validation pipeline + fix regressions

NEW: Gitea Actions CI pipeline (.gitea/workflows/pr-pipeline.yaml)
- Stage 1 (validate): YAML frontmatter validation for all .prose.md files
- Stage 2 (lint): Structural checks + regression detection
  * /grafana/ nginx route (reverted 2026-07-02)
  * Stale CT IDs (122→112, no 123)
  * Verified: .19/.122/.123 = correct bridge IPs
- Stage 3 (ai-review): LiteLLM-powered diff review against ground truth
- Stage 4 (auto-merge): Gate — safe to merge when all green

NEW: scripts/prose-lint.sh — contract structure + regression checker
NEW: scripts/prose-ai-review.sh — AI review via syslog-auto model

FIXES FOUND BY LINT:
- gpu-fleet.prose.md: removed /grafana/ from nginx routing diagram
- gpu-fleet.prose.md: removed /grafana/ from config file description
- infrastructure-control.prose.md: CT 122→112 in topology diagram
- scripts/prose-lint.sh: updated to not flag .19 (verified correct IP)
This commit is contained in:
root
2026-07-04 22:13:51 +00:00
parent dd985f0e49
commit 263c4080f3
5 changed files with 364 additions and 3 deletions
+1 -2
View File
@@ -39,7 +39,6 @@ triggers:
│ ├─ /admin/* → harness-litellm:4000 (admin endpoints) │
│ ├─ /dashboard/ → harness-dashboard:3000 (harness UI) │
│ ├─ /litellm/* → harness-litellm:4000 (LiteLLM UI + API) │
│ ├─ /grafana/* → harness-grafana:3000 (dashboards) │
│ ├─ /health/* → harness-litellm:4000 (health probes) │
│ └─ /gpu/* → 192.168.68.24:9100 (fleet monitor) │
│ │
@@ -144,7 +143,7 @@ If no SSH access, send Zulip DM via abiba-bot.
| `/opt/inference-harness/docker-compose.yml` | CT 116 | All containers (router, litellm, nginx, postgres, redis, dashboard) |
| `/opt/inference-harness/litellm_config.yaml` | CT 116 | LiteLLM proxy config (models, fallbacks, timeouts) |
| `/opt/inference-harness/router/router.py` | CT 116 | Router source (builds via compose) |
| `/etc/nginx/nginx.conf` | CT 116 (nginx container) | Routes /v1→LiteLLM, /dashboard/, /litellm/, /grafana/, /health |
| `/etc/nginx/nginx.conf` | CT 116 (nginx container) | Routes /v1→LiteLLM, /dashboard/, /litellm/, /health |
| `/opt/monitoring/prometheus.yml` | CT 116 | Prometheus scrape config (5 targets) |
| `/root/scripts/gpu-monitor-server.py` | pi (.24) | GPU fleet monitor v2.1.0 (with benchmarks) |
| `/root/scripts/gpu_benchmark.py` | pi (.24) | GPU inference benchmark module (tok/s tracking) |