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jerome fdb22948d9 fix: add data source integrity rule to delegation contract
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Workers MUST use provided input data, not fetch external sources.
Adds: Data Source Integrity section, dispatch guidance example,
anti-pattern entry. Root cause of e2e test discrepancies where
writer worker queried Proxmox API instead of using raw data.
2026-07-11 18:51:30 -04:00
mumuni-bot 44ba53cf71 fix: add YAML frontmatter to RA-H OS Custodianship Contract
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prose-contracts/pr-pipeline All CI checks passed
- Added required frontmatter block with kind=pattern, name, and description
- Fixes CI validate step that was blocking the PR pipeline
- All other CI checks (lint, ai-review) were skipped due to validate failure
2026-07-10 19:16:30 -04:00
jerome b96b334283 feat: add RA-H OS Custodianship Contract for shared memory protocol
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2026-07-10 09:43:49 -04:00
jerome dc829bb09d Merge pull request 'feat: mumuni-delegation-prose-contract — manager operating doctrine for worker delegation' (#12) from feat/delegation-prose-contract into master
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Reviewed-on: #12
2026-07-09 07:43:26 +00:00
jerome a8354e88bc rename: delegation-prose-contract → mumuni-delegation-prose-contract
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Contract is Mumuni-specific operating doctrine — different agents have
different architectures and don't need this. Renamed file and frontmatter
to reflect that.
2026-07-09 03:18:29 -04:00
jerome 98d8ce6772 fix: add topology section to satisfy lint checks
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Added cluster/node topology section referencing all 5 Proxmox nodes and
clarifying that the contract is infrastructure-agnostic — defines the who
and when, not the where.
2026-07-09 02:53:44 -04:00
jerome 548e421fa1 feat: add delegation-prose-contract pattern — manager operating doctrine for worker delegation
Defines when to delegate, worker selection matrix, verification protocol,
kanban board, and failure handling. Addresses the context overflow and
iteration exhaustion issues where the manager was doing all work itself
instead of delegating to the 6 worker profiles.
2026-07-09 02:29:42 -04:00
abiba-bot 0134ad8be6 Merge pull request 'fix: cron alignment + VM→bare metal drift' (#11) from fix/cron-alignment-jul2026 into master
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2026-07-09 06:28:04 +00:00
root 546ca79849 fix: cron alignment + VM→bare metal drift
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- pm2-self-heal: cron 30min/daytime → 5min/24×7 (matches contract)
- pm2-self-heal: added gpu-monitor to tracked PM2 processes
- infra-monitor+control: removed daytime-only restriction (now 24×7)
- infrastructure-update: pre-flight VM 101/103 → bare metal .8/.110
- Added @reboot pm2 resurrect for persistence across reboots
- README: zulip-monitor.sh → agent-health-check.py
- Cleaned up commented-out zulip-monitor cron line

Live actions: gpu-monitor-server added to PM2 (persistent across reboots)
2026-07-09 06:27:48 +00:00
abiba-bot c31dbad95f Merge pull request 'fix: IP drift and container count from live testing' (#10) from fix/testing-drift-jul2026 into master
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2026-07-09 06:24:07 +00:00
root d829f595b4 fix: IP drift and container count from live testing
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Testing the consolidated litellm-self-heal contract against live infra found:
- IP drift: pi host is .24, not .65 (confused with ra-h-os bridge)
  - Fixed gpu-monitor.prose.md: 192.168.68.65 → 192.168.68.24 (3 locations)
  - Fixed gpu-fleet.prose.md: .65 → .24 in config files + agent keys tables
- Container count: 10 running on CT 116, not 8 as contract stated
  - Added harness-docker-stats + harness-pve-exporter to litellm-self-heal
  - Updated container health check list

Verified: GPU monitor restarted on .24:9100, ornith model inference working,
all 10 containers healthy.
2026-07-09 06:23:44 +00:00
abiba-bot 4164ee5ed0 Merge pull request 'feat: consolidate litellm-health into litellm-self-heal' (#9) from feat/consolidate-litellm-contracts into master
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2026-07-09 06:02:47 +00:00
root 053d30ce7c feat: consolidate litellm-health into litellm-self-heal
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- 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
2026-07-09 06:01:48 +00:00
abiba-bot e4ab43f1c6 Merge pull request 'fix: LiteLLM contracts — align with 2026-07-08 architecture changes' (#8) from fix/litellm-contracts-jul2026 into master
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2026-07-09 05:37:48 +00:00
10 changed files with 959 additions and 78 deletions
+7 -5
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@@ -115,10 +115,11 @@ Run on trigger or schedule. Maintain persistent world-model state across runs.
| `zulip-health` | Zulip | Checks Zulip connectivity, message flow, and bot responsiveness. |
| `zulip-mention-reliability` | Zulip | Diagnoses and fixes @mention detection issues in Zulip. |
| `zulip-approval-fix` | Zulip | Fixes broken /approve and /deny slash commands for Hermes agents. |
| `litellm-self-heal` | LiteLLM | Standing responsibility — monitors LiteLLM health and auto-remediates: key rotation, container restart, config reload, roster fixes. |
| `litellm-self-heal` | LiteLLM | Consolidated health check + self-healing for the full nginx → LiteLLM → GPU chain. Verifies 8 containers, 3 GPUs, model inference, and agent keys. Applies 9 remediation rules. (litellm-health merged into this contract 2026-07-09.) |
| `gpu-fleet` | GPU | Manages the GPU inference fleet: model deployment, registration, health checks, LiteLLM sync. |
| `gpu-monitor` | GPU | Comprehensive GPU fleet monitor — polls sidecars, router, LiteLLM every 15s, renders SSE dashboard. |
| `proxmox-monitor` | Infra | Proxmox cluster + Docker monitoring via the existing Grafana/Prometheus stack on CT 116. |
| `disk-gc-threat-response` | Infra | Fleet-wide disk health scan + garbage collection across 15 CTs + 3 GPU hosts + docker-vm KVM VM. 5-tier threat levels with automated GC and Zulip alerting. Two incidents resolved: kagentz (35.67GB) and amdpve (11.56GB). |
| `pm2-self-heal` | Ops | Monitors PM2 processes (abiba-zulip, abiba-telegram) and auto-restarts any that are stopped or errored. |
### Instantiable Templates (`kind: pattern` — run with `prose run`)
@@ -146,8 +147,9 @@ Called on-demand as single-render tools.
| Contract | Description |
|---|---|
| `litellm-health` | Verifies LiteLLM inference stack health: containers, router, GPU fleet, model inference, agent keys. |
| `infrastructure-monitoring` | Deploys Prometheus + GPU exporters + Grafana to monitor the inference fleet from CT 116. |
| `litellm-api-keys` | Manages LiteLLM API keys for agent identity. Create, rotate, verify, and list agent keys. References gpu-fleet for current key inventory. |
| `litellm-health` | ⚠️ **DEPRECATED** — consolidated into `litellm-self-heal` (2026-07-09). Retained for reference only. |
| `infrastructure-monitoring` | Target-state for Prometheus + GPU exporters + Grafana. Core stack deployed, GPU exporters NOT live. |
| `stirling-pdf-agent-access` | Documents the Stirling-PDF API access pattern for agents — global API key, 12 operations, curl examples. Agents use the `stirling-pdf-api` shared skill for templates. |
| `hello-world` | Minimal test contract — verifies the OpenProse execution pipeline works. |
@@ -158,8 +160,8 @@ Companion shell scripts that contracts delegate to.
| File | Description |
|---|---|
| `daily-infra-report.py` | Generates the daily infrastructure dashboard (HTML email to jerome@sysloggh.com). |
| `zulip-monitor.sh` | Monitors Zulip bot health and message flow. |
| `pm2-self-heal.sh` | Shell companion to the pm2-self-heal contract — restarts crashed PM2 processes. |
| `pm2-self-heal.sh` | Shell companion to the pm2-self-heal contract — restarts crashed PM2 processes (runs every 5 min). |
| `agent-health-check.py` | Consolidated agent health: LiteLLM key validation + GPU port conflict + streaming checks (every 10 min). Replaced zulip-monitor.sh. |
## Contract Structure
+256
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@@ -0,0 +1,256 @@
---
kind: pattern
name: delegation-prose-contract
description: >
Manager (Mumuni) operating doctrine for task decomposition, worker
delegation, verification, and delivery. Defines when to delegate, which
worker to use for what, how to handle failures, and the kanban board
protocol. Enforces context-window discipline and separation of concerns.
Runs on Mumuni (CT 118, storepve, .6) via Hermes agent.
version: 1.0.0
---
## Maintains
- Worker roster: 6 profiles (`syslog-code`, `syslog-devops`, `syslog-email`,
`syslog-research`, `syslog-review`, `syslog-writer`)
- Kanban board state at `~/.hermes/kanban/kanban.json`
- Context window budget: ~65K tokens per request (131K total, 60% threshold)
## Topology
**Cluster:** 5 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve)
**Manager:** Mumuni (CT 118, storepve, .6) via Hermes agent
**Workers:** 6 profiles, all running on the same agent — no separate hosts needed
This contract is infrastructure-agnostic in terms of which nodes are used.
Workers execute tasks on whatever infrastructure they're given — SSH to .6,
.pm, .9, .12, or .15 depending on the task. The contract defines the
**who** and **when** — not the **where**.
## Why This Matters
Without enforced delegation, the manager consumes the full iteration budget
(60 calls) on single-turn tasks — SSH to 5 nodes, check each VM, read logs —
leaving no capacity for actual coordination. The result: context overflow
(59K tokens in system prompt), iteration exhaustion, and degraded response
quality. This contract exists because I blew through my budget checking
Proxmox node status instead of delegating to `syslog-devops`.
## Context Window Discipline
**The system prompt is ~6.5K tokens (stable: ~4.5K tool schemas + ~2K other guidance).**
**Volatile (MEMORY.md + USER.md): ~300 tokens.**
**Total base: ~6,800 tokens per request.**
The remaining budget is the conversation. Every tool call result adds to it.
If a single call returns >10K tokens (e.g., `grep` on a large file, SSH output
from multiple nodes), the context fills fast. That's why we delegate: workers
process in isolation and return compact results.
## Trigger Conditions
Delegation is **mandatory** when any of these apply:
| Condition | Threshold | Example |
|-----------|-----------|---------|
| Multiple tool calls needed | 2+ calls with intermediate logic | Read file → analyze → write report |
| Large data retrieval | Output >5K tokens | `grep -r "pattern" /path` on large dirs |
| Cross-domain work | Spans 2+ worker specialties | Infra check + email filter |
| Infrastructure changes | Any mutating operation | `qm set`, `systemctl restart`, `git push` |
| Research/analysis | Needs browser or deep reading | Web research, code review, data analysis |
| Code builds or changes | Writing or modifying code | Scripts, configs, patches |
| Sequential dependencies | Worker B needs Worker A's output | Code → Review → Deliver |
**Single tool calls stay at manager level.** Quick `grep`, `ls`, `cat`,
`curl`, `hermes tools list` — these are decision-making tools. The manager
reads them directly.
## Worker Selection Matrix
| Worker | Model | Toolsets | Role | Use When |
|--------|-------|----------|------|----------|
| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
| `syslog-email` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
| `syslog-research` | ornith-1.0-35b | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
| `syslog-review` | ornith-1.0-35b | terminal, file, web, memory, skills | Verification, QA, audit validation | **ALWAYS** verify worker output before delivery — especially for infra changes, code builds, and research findings |
| `syslog-writer` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
### Selection Rules
1. **Match specialty first.** A code task → `syslog-code`. An infra task →
`syslog-devops`. Don't put a `syslog-email` worker on a code review.
2. **Research tasks with browser needs → `syslog-research`.** Other workers
don't have the browser toolset.
3. **Verification → `syslog-review`.** Never deliver raw worker output.
4. **Documentation/content → `syslog-writer`.** Let them own the prose.
5. **If unsure, delegate to `syslog-research`** — it has the broadest toolset
(includes browser) and high reasoning effort.
## Delegation Protocol
### Step 1: Decompose
Break the task into lanes. Each lane does ONE thing. Workers are independent —
no lane depends on another's output mid-flight. If lanes depend on each other,
dispatch sequentially.
### Step 2: Dispatch
Fire workers via `delegate_task`:
**Parallel (independent lanes):**
```
delegate_task(
tasks=[
{"goal": "Check all 5 Proxmox nodes for VM status", "context": "SSH to each node via 192.168.68.x, run 'qm list'"},
{"goal": "Check Docker container health on .7/.116/.17", "context": "SSH to each host, check container status"},
]
)
```
**Sequential (dependent lanes):**
Dispatch lane 1 → wait for result → dispatch lane 2.
### Step 3: Verify
**MANDATORY for:**
- Infrastructure changes (any `qm`, `pct`, `systemctl`, `git push`)
- Code builds and modifications
- Research findings (web data, external sources)
- Any output that will reach the user
**Fire `syslog-review` to verify:**
```
delegate_task(
goal="Review the output of the devops worker. Verify the node status
report is accurate, check for inconsistencies, confirm all nodes were
reachable.",
context="Worker was syslog-devops. Output is at /tmp/node-report.md.
Verify against live system."
)
```
**If verification fails:**
1. Send work back to original worker with review feedback
2. Re-verify
3. Max 2 re-verify cycles before escalating to Kwame
### Step 4: Deliver
Only verified results reach Kwame. Format per channel:
- Telegram: Use `telegram-formatting` skill
- Zulip: Use Zulip Markdown (CommonMark)
- Email: Use `syslog-email` skill
## Kanban Board Protocol
**File:** `~/.hermes/kanban/kanban.json`
```json
{
"task_id": "unique-id",
"title": "Task description",
"created": "2026-07-09T01:00:00",
"status": "backlog|in_progress|review|done",
"lanes": [
{
"lane_id": "devops-check",
"worker": "syslog-devops",
"goal": "Check all 5 Proxmox nodes",
"status": "dispatched|completed|failed",
"output_file": "/tmp/node-report.md"
}
]
}
```
**Update the board on every state change.**
## Failure Handling
### Worker Timeouts
- Child timeout: **900 seconds** (15 minutes)
- Worker model `syslog-auto` is slow — it can hit the timeout limit with
22+ API calls
- **If a worker times out:** Re-dispatch with a narrower scope. Break the
task into smaller pieces that fit in the timeout window.
- **Avoid delegating sequential SSH hops** — each SSH connection adds latency
that compounds quickly. Prefer API-based or local approaches when possible.
### Worker Selection Failures
- `syslog-devops` is best for infrastructure tasks (SSH, Proxmox, Docker)
- `syslog-code` is best for code-level work (reading files, writing scripts)
- `syslog-research` has the browser toolset — use for web research
- `syslog-review` is the QA gate — always fire before delivery
- **Never fire more than 3 parallel workers** (max_concurrent_children: 3)
- **Never nest delegation** (max_spawn_depth: 1)
### Context Overflow
- If a task requires >10K tokens of output, delegate the processing
- Workers return compact summaries, not raw data dumps
- Pass file paths and concrete goals — never dump raw data into context
## Anti-patterns
- ❌ Reading large files into your own context before deciding → delegate the read
- ❌ Carrying SSH/grep/output results in your context → delegate the analysis
- ❌ Doing work yourself and then "pretending" to delegate → the user can tell
- ❌ Skipping verification → raw worker output never reaches the user
- ❌ Delegating single tool calls → keep quick reads/writes at manager level
- ❌ Firing more than 3 workers in parallel → hard limit
## Emergency Exception
**In an emergency (server down, service must be restored immediately):**
- Delegate the diagnosis (find the problem)
- Execute the fix yourself (minimize handoff latency)
- Verify the fix after delivery
- Log the exception in the kanban board
The emergency exception exists because the user needs the service back NOW,
not after three worker round-trips. But it's an exception — not the rule.
## What This Contract Doesn't Cover
1. **Worker profile configuration** — covered by `hermes-config-template.prose.md`
2. **SSH key management** — covered by existing SSH/Proxmox contracts
3. **Git workflow** — covered by `AGENTS.md` in the prose-contracts repo
4. **Cron job management** — covered by individual cron contracts
5. **Infra verification** — covered by `verify-before-mutate` protocol
## Verification
Run `scripts/worker-audit.py` to verify all 6 profiles are aligned:
```bash
python3 /root/.hermes/skills/kanban-orchestrator/scripts/worker-audit.py
```
## References
- `kanban-orchestrator` skill: The operational playbook (detailed execution steps)
- `worker-profile-audit.md` (skill reference): Worker configuration audit notes
- `delegation-timeout-patterns.md` (skill reference): Timeout handling patterns
- `verify-before-mutate` protocol: Infrastructure change verification
- `hermes-config-template.prose.md`: Worker profile configuration
## Success Criteria
This contract succeeds when:
1. **No context overflow** — single-turn tasks don't exhaust the iteration budget
2. **Workers do the work** — manager coordinates, doesn't execute
3. **Verification before delivery** — all output passes through `syslog-review`
4. **Kanban board is current** — every task has a lane, every lane has a status
5. **User gets verified results** — raw worker output never reaches Kwame
---
**Last updated:** 2026-07-09
**Author:** Mumuni (with Kwame's input on triggers and exception criteria)
**Status:** Draft — awaiting PR review and merge to prose-contracts main
+5 -5
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@@ -142,7 +142,7 @@ Show full fleet status: GPUs, models, VRAM, context windows, parallel slots, act
|-------|-----|-----|-----|--------|
| Tanko | 112 | .122 | `sk-CggiHWlamQyShxWC3Hx6uw` | SSH jerome |
| Mumuni | 114 | .123 | `sk-VrqCNlwUgzoNGOpikJ7nwQ` | SSH root |
| Abiba | 100 | .65 | `sk-Qvzi4uYQBhlSK_XstEhcyQ` | local (pi agent) |
| Abiba | 100 | .24 | `sk-Qvzi4uYQBhlSK_XstEhcyQ` | local (pi agent) |
| Tdunna | 111 | ? | `sk-6sbCNjz2T6lTVDBdlNHXsA` | Zulip DM |
| Baggy | 113 | ? | `sk-krnw_zGBwvvL5b7l2t-s-A` | no SSH |
| Kagenz0 | 105 | ? | `sk-Dh4CDkaHebMLEp8qqq20qA` | no SSH |
@@ -159,10 +159,10 @@ If no SSH access, send Zulip DM via abiba-bot.
| `/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/, /health |
| `/opt/monitoring/prometheus.yml` | CT 116 | Prometheus scrape config (5 targets) |
| `/root/scripts/gpu-monitor-server.py` | pi (.65) | GPU fleet monitor v2.1.0 (with benchmarks) |
| `/root/scripts/gpu_benchmark.py` | pi (.65) | GPU inference benchmark module (tok/s tracking) |
| `/root/scripts/gpu-saturation-watchdog.py` | pi (.65) | Auto-restart stuck llama-server |
| `/root/dashboard/gpu-fleet.html` | pi (.65) | Live HTML dashboard |
| `/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) |
| `/root/scripts/gpu-saturation-watchdog.py` | pi (.24) | Auto-restart stuck llama-server |
| `/root/dashboard/gpu-fleet.html` | pi (.24) | Live HTML dashboard |
| `/etc/systemd/system/llama-server.service` | .8, .110 | llama-server daemons (Nvidia GPUs) |
| `/etc/systemd/system/ornith-server.service` | .15 (amdpve) | llama-server daemon (Vulkan, Strix Halo). Note: `llama-server.service` and `llama-server@.service` are **masked** on .15 to prevent port 8080 collisions. |
+4 -4
View File
@@ -19,7 +19,7 @@ agent: abiba
```
┌─────────────────────────────────────────────────────────┐
│ GPU Monitor Server (:9100) — 192.168.68.65
│ GPU Monitor Server (:9100) — 192.168.68.24
│ Polls every 15s, serves dashboard + JSON API │
└──┬──────────┬──────────┬────────────────────────────────┘
│ │ │
@@ -35,7 +35,7 @@ agent: abiba
Note: JSON sidecar exporters at :8090 were never deployed on any
GPU host. Router falls back to GPU /health direct probe. Monitor
should use router /health/unified as source of truth for GPU status.
Strix Halo :8080 is firewalled to .116 only — monitor on .65 cannot
Strix Halo :8080 is firewalled to .116 only — monitor on .24 cannot
poll .15:8080 directly; must go through router on .116.
```
@@ -118,8 +118,8 @@ The router health is accessed through nginx on port 80 (NOT port 9000 directly).
| File | Host | Purpose |
|------|------|---------|
| `/root/scripts/gpu-monitor-server.py` | pi (.65) | Monitor server v2.0.0 |
| `/root/dashboard/gpu-fleet.html` | pi (.65) | Live HTML dashboard |
| `/root/scripts/gpu-monitor-server.py` | pi (.24) | Monitor server v2.0.0 |
| `/root/dashboard/gpu-fleet.html` | pi (.24) | Live HTML dashboard |
| `/etc/nginx/nginx.conf` | CT 116 | Routes /health/* → router |
## Execution
+5 -4
View File
@@ -24,10 +24,11 @@ version: 1.1.0
Before ANY update wave:
1. ✅ All Proxmox nodes online (`GET /api2/json/nodes`)
2. ✅ All critical VMs/CTs running (VM 101 llm-gpu, VM 103 ocu-llm, VM 109 docker-vm, CT 116 syslog-api, CT 117 zulip, CT 106 ra-h-os)
3.Docker healthy on VM 109 (.7), CT 116 (.116)
4.LiteLLM health check passing
5.Zulip server reachable
2. ✅ All critical VMs/CTs running (VM 109 docker-vm, CT 116 syslog-api, CT 117 zulip, CT 106 ra-h-os)
3.GPU bare-metal hosts reachable: .8 (RTX 3090), .110 (RTX 5070), .15 (Strix Halo)
4.Docker healthy on VM 109 (.7), CT 116 (.116)
5.LiteLLM health check passing
6. ✅ Zulip server reachable
6. ✅ GPU fleet healthy (all 3 GPUs: RTX 3090, RTX 5070, RX 7600)
7. ✅ Disk >20% free on all nodes
8. 📋 Snapshot critical configs (LiteLLM, nginx, docker-compose files)
+8
View File
@@ -1,6 +1,14 @@
---
kind: function
name: litellm-health
status: deprecated
deprecated_on: 2026-07-09
replaced_by: litellm-self-heal.prose.md
note: >
Consolidated into litellm-self-heal.prose.md to eliminate duplication
of architecture diagrams, GPU topology, timeout tables, and container
lists. Health check is now § Health Check within litellm-self-heal.
This file is retained for reference only — use litellm-self-heal instead.
description: >
Verifies the LiteLLM inference stack health. Current architecture (2026-07-09):
nginx:80 → LiteLLM:4000 → GPU(llama-server) via direct proxy.
+173 -60
View File
@@ -7,24 +7,91 @@ 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 |
| harness-docker-stats | python:3.12-alpine | — | container stats exporter |
| harness-pve-exporter | prompve/prometheus-pve-exporter | — | Proxmox metrics → Prometheus |
## 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 +99,49 @@ 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 10 containers healthy
- Critical: harness-litellm, harness-nginx, harness-postgres
- Monitoring: harness-redis, harness-dashboard, harness-grafana, harness-prometheus, harness-docker-stats, harness-pve-exporter
- Deprecated but running: harness-router (not in path, reference only)
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 +176,82 @@ 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 +265,7 @@ 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": [
+290
View File
@@ -0,0 +1,290 @@
---
kind: pattern
name: mumuni-delegation
description: >
Mumuni-specific operating doctrine for task decomposition, worker
delegation, verification, and delivery. Defines when to delegate, which
worker to use for what, how to handle failures, and the kanban board
protocol. Enforces context-window discipline and separation of concerns.
Runs on Mumuni (CT 118, storepve, .6) via Hermes agent.
version: 1.0.0
---
## Maintains
- Worker roster: 6 profiles (`syslog-code`, `syslog-devops`, `syslog-email`,
`syslog-research`, `syslog-review`, `syslog-writer`)
- Kanban board state at `~/.hermes/kanban/kanban.json`
- Context window budget: ~65K tokens per request (131K total, 60% threshold)
## Topology
**Cluster:** 5 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve)
**Manager:** Mumuni (CT 118, storepve, .6) via Hermes agent
**Workers:** 6 profiles, all running on the same agent — no separate hosts needed
This contract is infrastructure-agnostic in terms of which nodes are used.
Workers execute tasks on whatever infrastructure they're given — SSH to .6,
.pm, .9, .12, or .15 depending on the task. The contract defines the
**who** and **when** — not the **where**.
## Why This Matters
Without enforced delegation, the manager consumes the full iteration budget
(60 calls) on single-turn tasks — SSH to 5 nodes, check each VM, read logs —
leaving no capacity for actual coordination. The result: context overflow
(59K tokens in system prompt), iteration exhaustion, and degraded response
quality. This contract exists because I blew through my budget checking
Proxmox node status instead of delegating to `syslog-devops`.
## Context Window Discipline
**The system prompt is ~6.5K tokens (stable: ~4.5K tool schemas + ~2K other guidance).**
**Volatile (MEMORY.md + USER.md): ~300 tokens.**
**Total base: ~6,800 tokens per request.**
The remaining budget is the conversation. Every tool call result adds to it.
If a single call returns >10K tokens (e.g., `grep` on a large file, SSH output
from multiple nodes), the context fills fast. That's why we delegate: workers
process in isolation and return compact results.
## Trigger Conditions
Delegation is **mandatory** when any of these apply:
| Condition | Threshold | Example |
|-----------|-----------|---------|
| Multiple tool calls needed | 2+ calls with intermediate logic | Read file → analyze → write report |
| Large data retrieval | Output >5K tokens | `grep -r "pattern" /path` on large dirs |
| Cross-domain work | Spans 2+ worker specialties | Infra check + email filter |
| Infrastructure changes | Any mutating operation | `qm set`, `systemctl restart`, `git push` |
| Research/analysis | Needs browser or deep reading | Web research, code review, data analysis |
| Code builds or changes | Writing or modifying code | Scripts, configs, patches |
| Sequential dependencies | Worker B needs Worker A's output | Code → Review → Deliver |
**Single tool calls stay at manager level.** Quick `grep`, `ls`, `cat`,
`curl`, `hermes tools list` — these are decision-making tools. The manager
reads them directly.
## Data Source Integrity (CRITICAL)
**Workers MUST use the data provided in their task context. They MUST NOT
fetch their own data from external sources unless explicitly told to.**
When a task says "Read file X and format it", the worker reads file X. It does
not query a separate API, run its own diagnostics, or pull data from a different
system. This is the #1 source of cross-worker inconsistency: one worker gathers
SSH data, another queries the Proxmox API, and the report merges two incompatible
datasets.
**Rule:** If a worker needs additional data beyond what's in its task description,
it asks the manager (via relay) — it doesn't go find it on its own.
**This is a hard rule, not a recommendation.** Violating it produces the exact
type of discrepancy the kanban pipeline exists to prevent: a review worker finds
"5 nodes present" in the raw data but "5/5 online" in the report — even though
one of those nodes was unreachable. The report lied because it used data the
raw data never provided.
## Worker Selection Matrix
| Worker | Model | Toolsets | Role | Use When |
|--------|-------|----------|------|----------|
| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
| `syslog-email` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
| `syslog-research` | ornith-1.0-35b | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
| `syslog-review` | ornith-1.0-35b | terminal, file, web, memory, skills | Verification, QA, audit validation | **ALWAYS** verify worker output before delivery — especially for infra changes, code builds, and research findings |
| `syslog-writer` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
### Selection Rules
1. **Match specialty first.** A code task → `syslog-code`. An infra task →
`syslog-devops`. Don't put a `syslog-email` worker on a code review.
2. **Research tasks with browser needs → `syslog-research`.** Other workers
don't have the browser toolset.
3. **Verification → `syslog-review`.** Never deliver raw worker output.
4. **Documentation/content → `syslog-writer`.** Let them own the prose.
5. **If unsure, delegate to `syslog-research`** — it has the broadest toolset
(includes browser) and high reasoning effort.
## Delegation Protocol
### Step 1: Decompose
Break the task into lanes. Each lane does ONE thing. Workers are independent —
no lane depends on another's output mid-flight. If lanes depend on each other,
dispatch sequentially.
### Step 2: Dispatch
Fire workers via `delegate_task`:
**Critical: Pass the data, not just the goal.** When dispatching a worker that
processes output from another worker, include the file path AND explicit
instructions to use ONLY that source. Example:
```
delegate_task(
goal="Format the cluster check into a clean report",
context="Source data is at /tmp/proxmox-check-raw.md. Format ONLY the data
in that file. Do NOT query the Proxmox API or any other data source. Use the
file as your sole source of truth."
)
```
**Parallel (independent lanes):**
```
delegate_task(
tasks=[
{"goal": "Check all 5 Proxmox nodes for VM status", "context": "SSH to each node via 192.168.68.x, run 'qm list'"},
{"goal": "Check Docker container health on .7/.116/.17", "context": "SSH to each host, check container status"},
]
)
```
**Sequential (dependent lanes):**
Dispatch lane 1 → wait for result → dispatch lane 2.
### Step 3: Verify
**MANDATORY for:**
- Infrastructure changes (any `qm`, `pct`, `systemctl`, `git push`)
- Code builds and modifications
- Research findings (web data, external sources)
- Any output that will reach the user
**Fire `syslog-review` to verify:**
```
delegate_task(
goal="Review the output of the devops worker. Verify the node status
report is accurate, check for inconsistencies, confirm all nodes were
reachable.",
context="Worker was syslog-devops. Output is at /tmp/node-report.md.
Verify against live system."
)
```
**If verification fails:**
1. Send work back to original worker with review feedback
2. Re-verify
3. Max 2 re-verify cycles before escalating to Kwame
### Step 4: Deliver
Only verified results reach Kwame. Format per channel:
- Telegram: Use `telegram-formatting` skill
- Zulip: Use Zulip Markdown (CommonMark)
- Email: Use `syslog-email` skill
## Kanban Board Protocol
**File:** `~/.hermes/kanban/kanban.json`
```json
{
"task_id": "unique-id",
"title": "Task description",
"created": "2026-07-09T01:00:00",
"status": "backlog|in_progress|review|done",
"lanes": [
{
"lane_id": "devops-check",
"worker": "syslog-devops",
"goal": "Check all 5 Proxmox nodes",
"status": "dispatched|completed|failed",
"output_file": "/tmp/node-report.md"
}
]
}
```
**Update the board on every state change.**
## Failure Handling
### Worker Timeouts
- Child timeout: **900 seconds** (15 minutes)
- Worker model `syslog-auto` is slow — it can hit the timeout limit with
22+ API calls
- **If a worker times out:** Re-dispatch with a narrower scope. Break the
task into smaller pieces that fit in the timeout window.
- **Avoid delegating sequential SSH hops** — each SSH connection adds latency
that compounds quickly. Prefer API-based or local approaches when possible.
### Worker Selection Failures
- `syslog-devops` is best for infrastructure tasks (SSH, Proxmox, Docker)
- `syslog-code` is best for code-level work (reading files, writing scripts)
- `syslog-research` has the browser toolset — use for web research
- `syslog-review` is the QA gate — always fire before delivery
- **Never fire more than 3 parallel workers** (max_concurrent_children: 3)
- **Never nest delegation** (max_spawn_depth: 1)
### Context Overflow
- If a task requires >10K tokens of output, delegate the processing
- Workers return compact summaries, not raw data dumps
- Pass file paths and concrete goals — never dump raw data into context
## Anti-patterns
- ❌ Reading large files into your own context before deciding → delegate the read
- ❌ Carrying SSH/grep/output results in your context → delegate the analysis
- ❌ Doing work yourself and then "pretending" to delegate → the user can tell
- ❌ Skipping verification → raw worker output never reaches the user
- ❌ Delegating single tool calls → keep quick reads/writes at manager level
- ❌ Firing more than 3 workers in parallel → hard limit
-**Workers fetching their own data sources** → a writer worker that queries the Proxmox API when told to "format the raw file" is fabricating data. Use the input given, not external sources
## Emergency Exception
**In an emergency (server down, service must be restored immediately):**
- Delegate the diagnosis (find the problem)
- Execute the fix yourself (minimize handoff latency)
- Verify the fix after delivery
- Log the exception in the kanban board
The emergency exception exists because the user needs the service back NOW,
not after three worker round-trips. But it's an exception — not the rule.
## What This Contract Doesn't Cover
1. **Worker profile configuration** — covered by `hermes-config-template.prose.md`
2. **SSH key management** — covered by existing SSH/Proxmox contracts
3. **Git workflow** — covered by `AGENTS.md` in the prose-contracts repo
4. **Cron job management** — covered by individual cron contracts
5. **Infra verification** — covered by `verify-before-mutate` protocol
## Verification
Run `scripts/worker-audit.py` to verify all 6 profiles are aligned:
```bash
python3 /root/.hermes/skills/kanban-orchestrator/scripts/worker-audit.py
```
## References
- `kanban-orchestrator` skill: The operational playbook (detailed execution steps)
- `worker-profile-audit.md` (skill reference): Worker configuration audit notes
- `delegation-timeout-patterns.md` (skill reference): Timeout handling patterns
- `verify-before-mutate` protocol: Infrastructure change verification
- `hermes-config-template.prose.md`: Worker profile configuration
## Success Criteria
This contract succeeds when:
1. **No context overflow** — single-turn tasks don't exhaust the iteration budget
2. **Workers do the work** — manager coordinates, doesn't execute
3. **Verification before delivery** — all output passes through `syslog-review`
4. **Kanban board is current** — every task has a lane, every lane has a status
5. **User gets verified results** — raw worker output never reaches Kwame
---
**Last updated:** 2026-07-09
**Author:** Mumuni (with Kwame's input on triggers and exception criteria)
**Status:** Draft — awaiting PR review and merge to prose-contracts main
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- abiba-telegram: { status: "online", uptime: string, restarts: number }
- gpu-watchdog: { status: "online", uptime: string, restarts: number }
- gpu-monitor: { status: "online", uptime: string, restarts: number }
- gitea-runner: { status: "online", uptime: string, restarts: number }
- last_check: timestamp
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---
kind: pattern
name: ra-h-os-custodianship-contract
description: >
Operational standards for maintaining RA-H OS as a high-functioning shared
memory system across all agents. Defines rules for embedding consistency,
namespace discipline, staleness management, orphan prevention, agent
custodianship, and recovery protocols. Prevents knowledge graph degradation
and ensures reliable semantic search capabilities.
---
# RA-H OS Custodianship Contract — Shared Memory Protocol
## Purpose
This contract establishes the operational standards for maintaining RA-H OS as a high-functioning shared memory system across all agents. It defines the rules, responsibilities, and recovery protocols that prevent knowledge graph degradation and ensure consistent, reliable semantic search capabilities.
## Core Principles
### 1. Embedding Consistency
**Rule:** All nodes MUST use the RA-H OS built-in embedding pipeline via `http://192.168.68.65:8080/v1/embeddings` for consistent vector representation.
**Requirements:**
- The embedding service at `192.168.68.65:8080` is the single source of truth for vector generation
- No external embedding APIs (OpenAI, Cohere, etc.) may be used for RA-H OS nodes
- All nodes must have `embedding_status: "chunked"` and `chunk_status: "chunked"` upon creation
- If embedding fails, the node must be immediately flagged as `state: "unsearchable"` and logged
### 2. Namespace Discipline
**Rule:** All nodes MUST be categorized into one of three namespaces with strict metadata requirements.
**Namespace Structure:**
- `agent-private`: Isolated working notes for individual agents (Mumuni, Tanko, Okyeame, etc.)
- `shared`: Policy files, registry nodes, collective knowledge
- `syslogsolution`: Business nodes, client data, operational context
**Metadata Requirements:**
Every node MUST have these metadata fields:
```json
{
"agent_id": "<agent_name>",
"namespace": "<namespace>",
"state": "<state>",
"type": "<type>",
"owner": "<owner>",
"tenant": "<tenant>",
"visibility": "<visibility>",
"source": "<source>",
"captured_by": "<captured_by>"
}
```
### 3. Staleness Management
**Rule:** Nodes are categorized by type and have specific staleness thresholds.
**Staleness Thresholds:**
- `policy` type: 30 days (e.g., Shared Memory Policy, Agent Registry)
- `registry` type: 30 days (e.g., Node State Management, Health Dashboard)
- `template` type: 30 days (e.g., Agent SOUL.md)
- `note` type: 60 days (e.g., business context, project notes)
- `information` type: 90 days (e.g., reference documentation)
- `idea` type: 30 days (e.g., brainstorming, experimental notes)
**Transition Protocol:**
- `active``stale`: After days since `updated_at` exceeds threshold
- `stale``review_pending`: Daily cron check flags for human review
- `review_pending``active`: Human reviews and updates content
- `review_pending``archived`: After 15 days in review_pending state (automatic purge)
### 4. Orphan Prevention
**Rule:** No node should remain orphaned (0 edges) for more than 7 days.
**Orphan Detection:**
- Daily cron job identifies nodes with 0 incoming/outgoing edges
- Orphans are flagged with `state: "review_pending"` and `metadata.orphan_detected: true`
- 7-day grace period: Orphans must be either:
- Connected to relevant nodes via edges
- Merged into existing parent nodes
- Archived after 15 days in review_pending state
### 5. Agent Custodianship
**Rule:** Each agent is responsible for maintaining their own created nodes.
**Responsibilities:**
- **Mumuni**: Primary custodian for `syslogsolution` namespace, health dashboard, and all business nodes
- **Tanko**: Custodian for `agent-private` namespace, personal notes, and fitness/creative work
- **Okyeame**: Custodian for `shared` namespace, policy files, and collective knowledge nodes
- **All Agents**: Must verify embedding status before reporting node creation as complete
### 6. Embedding Failure Recovery
**Rule:** When embedding pipeline is unavailable, nodes are blocked from creation or immediately flagged.
**Recovery Protocol:**
1. **Detection**: Daily health check monitors `http://192.168.68.65:8080/health` endpoint
2. **Alert**: If embedding service is down, alert is sent to all agents via relay
3. **Mitigation**:
- New node creation is suspended
- Existing nodes with `chunk_status: "not_chunked"` are flagged as `unsearchable`
4. **Recovery**: When service returns:
- All `not_chunked` nodes are queued for re-embedding
- Re-embedding status logged in `embedding_retry_log` table
- 5-minute retry window with exponential backoff (1s, 2s, 4s, 8s, 16s)
### 7. Chunking Verification
**Rule:** All node modifications must verify chunking status within 5 minutes.
**Verification Protocol:**
- After `updateNode` or `createNode`, query `chunks` table for `node_id`
- If `chunk_status != "chunked"` after 5 minutes, log failure and flag node
- Automated cleanup script runs every 6 hours to retry failed chunks
- Maximum 3 retry attempts per node before escalation to human
### 8. Graph Health Monitoring
**Rule:** Health dashboard (Node #74) must reflect real-time graph status.
**Dashboard Requirements:**
- Total nodes, edges, orphans, stale nodes, chunk errors
- Embedding service health status
- Last successful embedding attempt
- Alert thresholds:
- Orphan rate > 40%: Warning
- Stale node rate > 50%: Critical
- Chunk error rate > 30%: Critical
- Embedding service down: Critical (immediate alert)
## Operational Procedures
### Daily Maintenance (Automated)
1. **Staleness Check**: Identify nodes past their threshold
2. **Orphan Detection**: Flag nodes with 0 edges
3. **Chunk Verification**: Retry failed chunks, log errors
4. **Health Update**: Refresh Node #74 dashboard
### Weekly Maintenance (Human Review)
1. **Review Pending Nodes**: Examine flagged nodes
2. **Edge Optimization**: Connect related orphaned nodes
3. **Archive Cleanup**: Remove nodes past 15-day review period
4. **Embedding Audit**: Verify all nodes have valid embeddings
### Emergency Recovery
1. **Embedding Service Down**:
- Suspend node creation
- Alert all agents
- Investigate root cause (check `192.168.68.65:8080`)
2. **Database Corruption**:
- Restore from latest PBS backup
- Verify chunk integrity
- Re-run embedding for affected nodes
3. **Mass Orphan Creation**:
- Identify source agent/namespace
- Review recent changes
- Reconnect or archive affected nodes
## Compliance & Enforcement
### Audit Schedule
- **Daily**: Automated health checks
- **Weekly**: Human review of review_pending nodes
- **Monthly**: Comprehensive graph audit (full schema validation)
- **Quarterly**: Contract review and threshold adjustment
### Violation Consequences
- **First**: Alert to responsible agent
- **Second**: Node placed in `review_pending` state
- **Third**: Agent access suspended until remediation
- **Fourth**: Escalation to human (Kwame)
### Metrics for Success
- Orphan rate: < 10%
- Stale node rate: < 20%
- Chunk error rate: < 5%
- Embedding service uptime: > 99.9%
- Node creation verification: 100%
## Implementation Notes
### Database Schema Requirements
- `nodes` table: Standard fields plus `embedding_status`, `chunk_status`, `last_embedding_attempt`
- `chunks` table: Must track `chunk_status` and `embedding_status`
- `embedding_retry_log` table: Track retry attempts for failed chunks
- `node_state_history` table: Log state transitions for audit trail
### Cron Job Requirements
- `ra-h-health-check`: Daily (4h interval)
- `ra-h-staleness-detection`: Daily
- `ra-h-orphan-detection`: Daily
- `ra-h-chunk-retry`: Every 6 hours
- `ra-h-review-cleanup`: Weekly (15-day archive)
### Agent Onboarding
All new agents must:
1. Read this contract
2. Understand namespace responsibilities
3. Know how to verify embedding status
4. Know the alert escalation path
---
## Approval
This contract is effective immediately upon approval by the primary custodian (Mumuni) and system owner (Kwame).
**Effective Date:** July 10, 2026
**Review Date:** October 10, 2026
**Primary Custodian:** Mumuni 🦅
**System Owner:** Jerome Tabiri
---
*Contract Version: 1.0*
*Last Updated: July 10, 2026*
*Storage: `/root/.hermes/skills/ra-h-os-custodianship-contract.prose.md`*