feat: consolidate litellm-health into litellm-self-heal

- litellm-self-heal: merged health check as §Health Check section,
  includes full architecture diagram (v4.0.0), GPU topology, timeout
  tables, container list, and execution flow. Eliminates duplication
  between the two contracts.
- litellm-health: marked DEPRECATED, retained for reference
- README.md: updated with consolidated contract, deprecation notice,
  disk-gc-threat-response, and infrastructure-monitoring status

litellm-self-heal.prose.md

@@ -7,24 +7,89 @@ note: >
   This contract is now manual-only — triggers require explicit user request.
   Consider reimplementing as a standalone cron job or prose contract.
   
-  Source of truth for GPU topology: gpu-fleet.prose.md
+  Consolidated from litellm-health + litellm-self-heal on 2026-07-09 to eliminate
+  duplication of architecture diagrams, GPU topology, timeout tables, and container
+  lists. Health check is now § Health Check within this contract.
+  
+  Source of truth for GPU topology and keys: gpu-fleet.prose.md
   Last verified: 2026-07-09
 description: >
-  Standing responsibility that monitors LiteLLM health and proactively
-  fixes common issues. Reports every action via Zulip DM and RA-H OS
-  knowledge graph for full audit trail.
+  LiteLLM inference stack health monitoring + self-healing. Verifies the full
+  nginx → LiteLLM → GPU chain, 8 containers on CT 116, 3 GPU hosts, model
+  inference, and agent keys. Applies remediation rules for common failures.
+  Reports every action via Zulip DM and RA-H OS knowledge graph.
 ---
 
+# LiteLLM Operations — Health Check + Self-Heal
+
+## Architecture (v4.0.0 — Direct: nginx → LiteLLM → GPU)
+
+```
+Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
+                        │
+                  Key validation
+                  Fallback chains
+                  Budget tracking
+                        │
+                  Prometheus ← metrics
+                        │
+                    Grafana :3001
+
+  harness-router :9000 — DEPRECATED, container still runs but
+  NOT in request path. nginx routes /v1 → LiteLLM directly.
+  Router slot booking + circuit breakers replaced by
+  LiteLLM native fallbacks + timeouts.
+```
+
+## Parameters
+
+- public_url: string — Public LiteLLM URL (default: "https://litellm.sysloggh.net")
+- backend_host: string — Internal CT host (default: "192.168.68.116")
+- auth_host: string — Authentik OIDC server (default: "192.168.68.11")
+- gpu_hosts: array — GPU inference hosts (default: ["192.168.68.8", "192.168.68.110", "192.168.68.15"])
+- gpu_dashboard_url: string — Fleet dashboard (default: "http://192.168.68.24:9100")
+- grafana_url: string — Grafana dashboards (default: "http://192.168.68.116:3001")
+
+## GPU Fleet Topology
+
+| Host | IP | Hardware | Models Served | Engine | Context | Parallel |
+|------|-----|----------|---------------|--------|---------|----------|
+| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | 128K | 2 |
+| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 128K | 2 |
+| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
+
+## Model Fallback Chains (LiteLLM)
+
+| Primary | Timeout | Fallback | Timeout |
+|---------|---------|----------|---------|
+| qwen3.6-27B-code | 90s | gemma-4-12b | 120s |
+| gemma-4-12b | 120s | qwen3.6-27B-code | 90s |
+| ornith-1.0-35b | 120s | qwen → gemma | — |
+| syslog-auto (balanced) | 90s | qwen → gemma | — |
+
+> Global: request_timeout=300s, nginx proxy_read_timeout=600s
+
+## Containers on CT 116
+
+| Container | Image | Port | Health Check |
+|-----------|-------|------|-------------|
+| harness-litellm | berriai/litellm:1.90.0-rc.1 | :4000→:4001 | /health/liveliness |
+| harness-router | inference-harness-router | :9000 (127.0.0.1) | /health (DEPRECATED — not in path) |
+| harness-nginx | nginx:alpine | :80 | HTTP 200 on /health |
+| harness-postgres | postgres:16-alpine | :5432 | pg_isready |
+| harness-redis | redis:7-alpine | :6379 | PING |
+| harness-dashboard | inference-harness-dashboard | :3000 | /health |
+| harness-grafana | grafana/grafana | :3000→:3001 | /api/health |
+| harness-prometheus | prom/prometheus | :9090 | /-/healthy |
+
 ## Maintains
 
 - litellm-admin-ui: { status: "healthy", last_check: timestamp }
 - litellm-api-docs: { status: "healthy", last_check: timestamp }
 - litellm-containers: { status: "healthy", last_check: timestamp }
 - litellm-oidc: { status: "healthy", last_check: timestamp }
-
-## Requires
-
-- litellm-health:function
+- litellm-gpu-fleet: { status: "healthy", models: int, alerts: array }
+- litellm-agent-keys: { count: int, valid: int }
 
 ## Continuity
 
@@ -32,55 +97,48 @@ description: >
 - Also wakes on user request
 - On failure: re-check after 30s, escalate after 3 consecutive failures
 
-## Reporting
+---
 
-Every remediation cycle produces a structured report in three channels:
+## Health Check
 
-### 1. RA-H OS Knowledge Graph Node
-Created as `[LEARN] litellm-self-heal: <run_id>` with:
-- metadata: { type: "remediation", status: "fixed" | "escalated" | "healthy" }
-- source: Full JSON report of the cycle
-- description: Summary of what was found, fixed, and escalated
+Run this first on every cycle. Results feed into remediation rules below.
 
-### 2. Zulip DM to Owner
-Sent immediately for:
-- `issues_fixed > 0` — "🛠 LiteLLM Self-Heal — Fix Applied"
-- `issues_escalated > 0` — "⚠ LiteLLM Self-Heal — Needs Your Attention"
-- Every 10th clean cycle — "✅ All Clear (10 checks passed)"
+### 1. Check public endpoints
+- GET {{public_url}}/ui/ → expect 200 ("LiteLLM Dashboard")
+- GET {{public_url}}/docs → expect 200 ("LiteLLM API - Swagger UI")
 
-### 3. Daily Digest (end of day)
-A summary of the last 24 hours sent as a single Zulip DM:
-```
-📋 LiteLLM Self-Heal — Daily Digest (2026-06-26)
+### 2. Check LiteLLM health (no-auth)
+- GET http://{{backend_host}}/litellm/health/liveliness → expect 200
 
-Total cycles: 288 (every 5 min)
-Issues found: 3
-  ├─ Fixed automatically: 3 (nginx restart x2, docs fix x1)
-  └─ Escalated: 0
+### 3. Check backend container health
+- SSH to {{backend_host}} → `docker ps` → verify 8 containers healthy
+- Critical: harness-litellm, harness-router, harness-nginx, harness-postgres
+- Monitoring: harness-redis, harness-dashboard, harness-grafana, harness-prometheus
 
-Top actions:
-  • harness-nginx restarted — 2026-06-26 02:15
-  • DOCS_URL corrected — 2026-06-26 07:30  
-  • harness-nginx restarted — 2026-06-26 14:46
+### 4. Check GPU fleet health (via fleet dashboard)
+- GET {{gpu_dashboard_url}}/gpu-data → expect 200 with GPU metrics JSON
+- Verify GPUs reporting status "healthy"
+- Check alerts array for active warnings/critical
 
-Uptime: 23h 47m — All healthy now ✅
-```
+### 5. Check model inference via LiteLLM — test each model
+- POST /v1/chat/completions model=gemma-4-12b → expect 200
+- POST /v1/chat/completions model=qwen3.6-27B-code → expect 200
+- POST /v1/chat/completions model=ornith-1.0-35b → expect 200
+- Use master key for auth
 
-### 4. Weekly Digest (every Monday)
-Same format as daily but covering 7 days. Sent to both Zulip DM and
-logged as a `[REPORT]` knowledge graph node for long-term trending.
+### 6. Check agent keys
+- GET /key/list with master key → verify all 6 agents have keys
 
-### 5. Relay Message (if cross-agent)
-If a fix required another agent's help (e.g., Authentik restart), a relay
-message is sent to the responsible agent with full context.
+### 7. Check Grafana
+- GET {{grafana_url}}/api/health → expect 200
 
-## GPU Fleet
+### 8. Compile overall status
+Determine overall_status from individual check results:
+- "healthy" — all checks pass
+- "degraded" — 1-2 non-critical checks fail
+- "down" — critical checks fail
 
-| Host | IP | Hardware | Models | Engine | Context |
-|------|-----|----------|--------|--------|---------|
-| amdpve | 192.168.68.15 | Strix Halo 64GB UMA | ornith-1.0-35b | llama-server :8080 (Vulkan) | 256K |
-| llm-gpu | 192.168.68.8 | RTX 3090 24GB | qwen3.6-27B-code | llama-server :8080 (systemd) | 128K |
-| ocu-llm | 192.168.68.110 | RTX 5070 12GB | gemma-4-12b | llama-server :8080 (systemd) | 128K |
+---
 
 ## Remediation Rules
 
@@ -115,30 +173,82 @@ If 503 errors occur, check LiteLLM timeouts and GPU health directly.
 
 ### Rule 8: Agent Keys Invalid (401)
 Detect → agents report auth errors
-Root cause → keys in router env var, not in LiteLLM DB
+Root cause → keys not in LiteLLM DB
 Fix → generate keys in LiteLLM via /key/generate → update /etc/environment on agent hosts
 Escalate → if SSH access unavailable, send Zulip DM
 
-### Rule 9: Stale Active Counter in Redis
-Detect → active:<model> > 0 while GPU idle
-Fix → `redis-cli DEL active:<model>` → restart router
-Prevent → add TTL to active keys in router code
+### Rule 9: Stale Active Counter in Redis — DEPRECATED
+Router no longer in path so Redis active counters are unused. Rule retained
+for reference but inactive. If Redis issues occur, check harness-redis container.
+
+---
+
+## Reporting
+
+Every remediation cycle produces a structured report:
+
+### 1. RA-H OS Knowledge Graph Node
+Created as `[LEARN] litellm-self-heal: <run_id>` with full JSON report.
+
+### 2. Zulip DM to Owner
+- `issues_fixed > 0` — "🛠 LiteLLM Self-Heal — Fix Applied"
+- `issues_escalated > 0` — "⚠ LiteLLM Self-Heal — Needs Your Attention"
+- Every 10th clean cycle — "✅ All Clear (10 checks passed)"
+
+### 3. Daily Digest (end of day)
+Summary of last 24 hours: total cycles, issues found/fixed/escalated,
+top actions, uptime.
+
+### 4. Relay Message (if cross-agent)
+If a fix requires another agent (e.g., Authentik restart), relay sent
+to responsible agent with full context.
+
+---
 
 ## Execution
 
-1. Run health check
-2. Apply remediation for each failure
-3. **Generate report** with all actions taken
-4. **Log to knowledge graph** — create `[LEARN]` node
-5. **Notify user** via Zulip DM if anything changed
-6. Wait 300s and repeat
+```prose
+-- Phase 1: Health Check
+let health = call health-check
+  public_url: public_url
+  backend_host: backend_host
+  gpu_dashboard_url: gpu_dashboard_url
+  grafana_url: grafana_url
+
+-- Phase 2: Apply remediation for each failure
+let actions = []
+for check in health.failed:
+  let fix = apply-remediation-rule
+    rule: lookup-rule(check.name)
+    target: check.target
+  push actions fix
+
+-- Phase 3: Generate report
+call report-generator
+  health: health
+  actions: actions
+
+-- Phase 4: Log to knowledge graph
+call kg-logger
+  run_id: run_id
+  health: health
+  actions: actions
+
+-- Phase 5: Notify if anything changed
+if actions.length > 0:
+  call zulip-notifier
+    actions: actions
+    health: health
+
+-- Wait 300s and repeat
+```
 
 ## Audit Trail Format
 
 ```json
 {
-  "run_id": "self-heal-20260626-001",
-  "timestamp": "2026-06-26T14:00:00Z",
+  "run_id": "self-heal-20260709-001",
+  "timestamp": "2026-07-09T14:00:00Z",
   "duration_ms": 1234,
   "checks_passed": 7,
   "checks_failed": 0,
@@ -152,7 +262,7 @@ Prevent → add TTL to active keys in router code
 With failures:
 ```json
 {
-  "run_id": "self-heal-20260626-002",
+  "run_id": "self-heal-20260709-002",
   "issues_found": 1,
   "issues_fixed": 1,
   "actions": [