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@@ -115,10 +115,11 @@ Run on trigger or schedule. Maintain persistent world-model state across runs.
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| `zulip-health` | Zulip | Checks Zulip connectivity, message flow, and bot responsiveness. |
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| `zulip-mention-reliability` | Zulip | Diagnoses and fixes @mention detection issues in Zulip. |
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| `zulip-approval-fix` | Zulip | Fixes broken /approve and /deny slash commands for Hermes agents. |
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| `litellm-self-heal` | LiteLLM | Standing responsibility — monitors LiteLLM health and auto-remediates: key rotation, container restart, config reload, roster fixes. |
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| `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.) |
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| `gpu-fleet` | GPU | Manages the GPU inference fleet: model deployment, registration, health checks, LiteLLM sync. |
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| `gpu-monitor` | GPU | Comprehensive GPU fleet monitor — polls sidecars, router, LiteLLM every 15s, renders SSE dashboard. |
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| `proxmox-monitor` | Infra | Proxmox cluster + Docker monitoring via the existing Grafana/Prometheus stack on CT 116. |
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| `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). |
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| `pm2-self-heal` | Ops | Monitors PM2 processes (abiba-zulip, abiba-telegram) and auto-restarts any that are stopped or errored. |
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### Instantiable Templates (`kind: pattern` — run with `prose run`)
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@@ -146,8 +147,9 @@ Called on-demand as single-render tools.
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| Contract | Description |
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|---|---|
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| `litellm-health` | Verifies LiteLLM inference stack health: containers, router, GPU fleet, model inference, agent keys. |
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| `infrastructure-monitoring` | Deploys Prometheus + GPU exporters + Grafana to monitor the inference fleet from CT 116. |
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| `litellm-api-keys` | Manages LiteLLM API keys for agent identity. Create, rotate, verify, and list agent keys. References gpu-fleet for current key inventory. |
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| `litellm-health` | ⚠️ **DEPRECATED** — consolidated into `litellm-self-heal` (2026-07-09). Retained for reference only. |
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| `infrastructure-monitoring` | Target-state for Prometheus + GPU exporters + Grafana. Core stack deployed, GPU exporters NOT live. |
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| `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. |
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| `hello-world` | Minimal test contract — verifies the OpenProse execution pipeline works. |
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@@ -158,8 +160,8 @@ Companion shell scripts that contracts delegate to.
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| File | Description |
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|---|---|
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| `daily-infra-report.py` | Generates the daily infrastructure dashboard (HTML email to jerome@sysloggh.com). |
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| `zulip-monitor.sh` | Monitors Zulip bot health and message flow. |
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| `pm2-self-heal.sh` | Shell companion to the pm2-self-heal contract — restarts crashed PM2 processes. |
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| `pm2-self-heal.sh` | Shell companion to the pm2-self-heal contract — restarts crashed PM2 processes (runs every 5 min). |
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| `agent-health-check.py` | Consolidated agent health: LiteLLM key validation + GPU port conflict + streaming checks (every 10 min). Replaced zulip-monitor.sh. |
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## Contract Structure
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@@ -0,0 +1,256 @@
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---
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kind: pattern
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name: delegation-prose-contract
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description: >
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Manager (Mumuni) operating doctrine for task decomposition, worker
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delegation, verification, and delivery. Defines when to delegate, which
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worker to use for what, how to handle failures, and the kanban board
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protocol. Enforces context-window discipline and separation of concerns.
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Runs on Mumuni (CT 118, storepve, .6) via Hermes agent.
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version: 1.0.0
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---
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## Maintains
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- Worker roster: 6 profiles (`syslog-code`, `syslog-devops`, `syslog-email`,
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`syslog-research`, `syslog-review`, `syslog-writer`)
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- Kanban board state at `~/.hermes/kanban/kanban.json`
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- Context window budget: ~65K tokens per request (131K total, 60% threshold)
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## Topology
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**Cluster:** 5 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve)
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**Manager:** Mumuni (CT 118, storepve, .6) via Hermes agent
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**Workers:** 6 profiles, all running on the same agent — no separate hosts needed
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This contract is infrastructure-agnostic in terms of which nodes are used.
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Workers execute tasks on whatever infrastructure they're given — SSH to .6,
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.pm, .9, .12, or .15 depending on the task. The contract defines the
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**who** and **when** — not the **where**.
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## Why This Matters
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Without enforced delegation, the manager consumes the full iteration budget
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(60 calls) on single-turn tasks — SSH to 5 nodes, check each VM, read logs —
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leaving no capacity for actual coordination. The result: context overflow
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(59K tokens in system prompt), iteration exhaustion, and degraded response
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quality. This contract exists because I blew through my budget checking
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Proxmox node status instead of delegating to `syslog-devops`.
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## Context Window Discipline
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**The system prompt is ~6.5K tokens (stable: ~4.5K tool schemas + ~2K other guidance).**
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**Volatile (MEMORY.md + USER.md): ~300 tokens.**
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**Total base: ~6,800 tokens per request.**
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The remaining budget is the conversation. Every tool call result adds to it.
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If a single call returns >10K tokens (e.g., `grep` on a large file, SSH output
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from multiple nodes), the context fills fast. That's why we delegate: workers
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process in isolation and return compact results.
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## Trigger Conditions
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Delegation is **mandatory** when any of these apply:
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| Condition | Threshold | Example |
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|-----------|-----------|---------|
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| Multiple tool calls needed | 2+ calls with intermediate logic | Read file → analyze → write report |
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| Large data retrieval | Output >5K tokens | `grep -r "pattern" /path` on large dirs |
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| Cross-domain work | Spans 2+ worker specialties | Infra check + email filter |
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| Infrastructure changes | Any mutating operation | `qm set`, `systemctl restart`, `git push` |
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| Research/analysis | Needs browser or deep reading | Web research, code review, data analysis |
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| Code builds or changes | Writing or modifying code | Scripts, configs, patches |
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| Sequential dependencies | Worker B needs Worker A's output | Code → Review → Deliver |
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**Single tool calls stay at manager level.** Quick `grep`, `ls`, `cat`,
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`curl`, `hermes tools list` — these are decision-making tools. The manager
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reads them directly.
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## Worker Selection Matrix
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| Worker | Model | Toolsets | Role | Use When |
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|--------|-------|----------|------|----------|
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| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
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| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
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| `syslog-email` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
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||||
| `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 |
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||||
| `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 |
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||||
| `syslog-writer` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
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||||
|
||||
### 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.
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||||
2. **Research tasks with browser needs → `syslog-research`.** Other workers
|
||||
don't have the browser toolset.
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3. **Verification → `syslog-review`.** Never deliver raw worker output.
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4. **Documentation/content → `syslog-writer`.** Let them own the prose.
|
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5. **If unsure, delegate to `syslog-research`** — it has the broadest toolset
|
||||
(includes browser) and high reasoning effort.
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|
||||
## Delegation Protocol
|
||||
|
||||
### Step 1: Decompose
|
||||
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||||
Break the task into lanes. Each lane does ONE thing. Workers are independent —
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||||
no lane depends on another's output mid-flight. If lanes depend on each other,
|
||||
dispatch sequentially.
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||||
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||||
### Step 2: Dispatch
|
||||
|
||||
Fire workers via `delegate_task`:
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||||
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||||
**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'"},
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{"goal": "Check Docker container health on .7/.116/.17", "context": "SSH to each host, check container status"},
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]
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||||
)
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```
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||||
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**Sequential (dependent lanes):**
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Dispatch lane 1 → wait for result → dispatch lane 2.
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### Step 3: Verify
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||||
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**MANDATORY for:**
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- Infrastructure changes (any `qm`, `pct`, `systemctl`, `git push`)
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- Code builds and modifications
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- Research findings (web data, external sources)
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- Any output that will reach the user
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**Fire `syslog-review` to verify:**
|
||||
```
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||||
delegate_task(
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||||
goal="Review the output of the devops worker. Verify the node status
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report is accurate, check for inconsistencies, confirm all nodes were
|
||||
reachable.",
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||||
context="Worker was syslog-devops. Output is at /tmp/node-report.md.
|
||||
Verify against live system."
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||||
)
|
||||
```
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||||
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||||
**If verification fails:**
|
||||
1. Send work back to original worker with review feedback
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||||
2. Re-verify
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3. Max 2 re-verify cycles before escalating to Kwame
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||||
### Step 4: Deliver
|
||||
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||||
Only verified results reach Kwame. Format per channel:
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- Telegram: Use `telegram-formatting` skill
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- Zulip: Use Zulip Markdown (CommonMark)
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||||
- Email: Use `syslog-email` skill
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||||
## Kanban Board Protocol
|
||||
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||||
**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
|
||||
|
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## 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.
|
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|
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## What This Contract Doesn't Cover
|
||||
|
||||
1. **Worker profile configuration** — covered by `hermes-config-template.prose.md`
|
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2. **SSH key management** — covered by existing SSH/Proxmox contracts
|
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3. **Git workflow** — covered by `AGENTS.md` in the prose-contracts repo
|
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4. **Cron job management** — covered by individual cron contracts
|
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5. **Infra verification** — covered by `verify-before-mutate` protocol
|
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|
||||
## 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
@@ -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. |
|
||||
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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
@@ -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": [
|
||||
|
||||
@@ -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
|
||||
@@ -12,6 +12,7 @@ description: >
|
||||
|
||||
- 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
|
||||
|
||||
|
||||
@@ -0,0 +1,210 @@
|
||||
---
|
||||
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`*
|
||||
Reference in New Issue
Block a user