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fix: LiteLLM contracts — align with 2026-07-08 architecture changes
- litellm-health: v4.0.0 — Router removed from path (nginx→LiteLLM→GPU directly),
  GPU engines corrected (Docker→systemd), timeouts updated (gemma 120s, qwen 90s),
  Strix Halo: CPU→Vulkan, context sizes + parallel slots added
- litellm-self-heal: ornith context 262K→256K, Rule 7 marked DEPRECATED
  (router not in path), GPU topology synced with gpu-fleet
- litellm-api-keys: reference gpu-fleet as source of truth for keys,
  removed qwen3.6-35B-A3B from model list (never deployed)
2026-07-09 05:37:16 +00:00

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Markdown

---
kind: responsibility
name: litellm-self-heal
status: manual-only
note: >
Auto-remediation code was removed from the pi Zulip extension (retired 2026-07-04).
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
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.
---
## 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
## Continuity
- Self-driven: check every 300 seconds
- 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:
### 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
### 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)"
### 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)
Total cycles: 288 (every 5 min)
Issues found: 3
├─ Fixed automatically: 3 (nginx restart x2, docs fix x1)
└─ Escalated: 0
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
Uptime: 23h 47m — All healthy now ✅
```
### 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.
### 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.
## GPU Fleet
| 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
### Rule 1: Container Not Healthy
Detect → `docker compose up -d <container>` → verify → log
Escalate after 3 failures
### Rule 2: Admin UI Non-200
Detect → restart harness-litellm → verify → log
Escalate after 2 failures
### Rule 3: Auth Unreachable
Detect → immediate escalate (external dependency)
### Rule 4: Docs 404
Detect → fix DOCS_URL env var → verify → log
### Rule 5: GPU Unreachable
Detect → SSH to GPU host fails or model not responding
Fix → restart llama-server on host via SSH
Escalate → immediately (downtime affects inference)
### Rule 6: Model Not Responding
Detect → test prompt via LiteLLM returns non-200
Fix → restart llama-server on GPU host → verify
Escalate → after 2 failed restarts
### Rule 7: Router Returns 503 (All GPUs Saturated) — DEPRECATED
Router is no longer in the request path (2026-07-08). LiteLLM proxies
directly to GPU. This rule is retained for reference but is inactive.
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
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
## 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
## Audit Trail Format
```json
{
"run_id": "self-heal-20260626-001",
"timestamp": "2026-06-26T14:00:00Z",
"duration_ms": 1234,
"checks_passed": 7,
"checks_failed": 0,
"issues_found": 0,
"issues_fixed": 0,
"issues_escalated": 0,
"actions": []
}
```
With failures:
```json
{
"run_id": "self-heal-20260626-002",
"issues_found": 1,
"issues_fixed": 1,
"actions": [
{
"rule": "Container Not Healthy",
"target": "harness-nginx",
"action": "restarted container",
"result": "healthy",
"duration_ms": 5000
}
]
}
```