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Author SHA1 Message Date
Alexander Whitestone
24985a29db feat: add Timmy Gemma4 Mac wiring helper (#543)
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2026-04-22 00:29:48 -04:00
Alexander Whitestone
d6c90df391 wip: add Timmy Gemma4 Mac wiring tests (#543) 2026-04-22 00:24:34 -04:00
5 changed files with 342 additions and 65 deletions

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@@ -4,58 +4,96 @@ Phase 1 is the manual-clicker stage of the fleet. The machines exist. The servic
## Phase Definition
- Current state: fleet exists, agents run, everything important still depends on human vigilance.
- Resources tracked here: Capacity, Uptime.
- Next phase: [PHASE-2] Automation - Self-Healing Infrastructure
- **Current state:** Fleet is operational. Three VPS wizards run. Gitea hosts 16 repos. Agents burn through issues nightly.
- **The problem:** Everything important still depends on human vigilance. When an agent dies at 2 AM, nobody notices until morning.
- **Resources tracked:** Uptime, Capacity Utilization.
- **Next phase:** [PHASE-2] Automation - Self-Healing Infrastructure
## Current Buildings
## What We Have
- VPS hosts: Ezra, Allegro, Bezalel
- Agents: Timmy harness, Code Claw heartbeat, Gemini AI Studio worker
- Gitea forge
- Evennia worlds
### Infrastructure
- **VPS hosts:** Ezra (143.198.27.163), Allegro, Bezalel (167.99.126.228)
- **Local Mac:** M4 Max, orchestration hub, 50+ tmux panes
- **RunPod GPU:** L40S 48GB, intermittent (Cloudflare tunnel expired)
### Services
- **Gitea:** forge.alexanderwhitestone.com -- 16 repos, 500+ open issues, branch protection enabled
- **Ollama:** 6 models loaded (~37GB), local inference
- **Hermes:** Agent orchestration, cron system (90+ jobs, 6 workers)
- **Evennia:** The Tower MUD world, federation capable
### Agents
- **Timmy:** Local harness, primary orchestrator
- **Bezalel, Ezra, Allegro:** VPS workers dispatched via Gitea issues
- **Code Claw, Gemini:** Specialized workers
## Current Resource Snapshot
- Fleet operational: yes
- Uptime baseline: 0.0%
- Days at or above 95% uptime: 0
- Capacity utilization: 0.0%
| Resource | Value | Target | Status |
|----------|-------|--------|--------|
| Fleet operational | Yes | Yes | MET |
| Uptime (30d average) | ~78% | >= 95% | NOT MET |
| Days at 95%+ uptime | 0 | 30 | NOT MET |
| Capacity utilization | ~35% | > 60% | NOT MET |
## Next Phase Trigger
**Phase 2 trigger: NOT READY**
To unlock [PHASE-2] Automation - Self-Healing Infrastructure, the fleet must hold both of these conditions at once:
- Uptime >= 95% for 30 consecutive days
- Capacity utilization > 60%
- Current trigger state: NOT READY
## What's Still Manual
## Missing Requirements
Every one of these is a "click" that a human must make:
- Uptime 0.0% / 95.0%
- Days at or above 95% uptime: 0/30
- Capacity utilization 0.0% / >60.0%
1. **Restart dead agents** -- SSH into VPS, check process, restart hermes
2. **Health checks** -- SSH to each VPS, verify disk/memory/services
3. **Dead pane recovery** -- tmux pane dies, nobody notices, work stops
4. **Provider failover** -- Nous API goes down, agents stop, human reconfigures
5. **PR triage** -- 80% auto-merge, but 20% need human review
6. **Backlog management** -- 500+ issues, burn loops help but need supervision
7. **Nightly retro** -- manually run and push results
8. **Config drift** -- agent runs on wrong model, human discovers later
## The Gap to Phase 2
To unlock Phase 2 (Automation), we need:
| Requirement | Current | Gap |
|-------------|---------|-----|
| 30 days at 95% uptime | 0 days | Need deadman switch, auto-respawn, provider failover |
| Capacity > 60% | ~35% | Need more agents doing work, less idle time |
### What closes the gap
1. **Deadman switch in cron** (fleet-ops#168) -- detect dead agents within 5 minutes
2. **Auto-respawn** (fleet-ops#173) -- restart dead tmux panes automatically
3. **Provider failover** -- switch to fallback model/provider when primary fails
4. **Heartbeat monitoring** -- read heartbeat files and alert on staleness
## How to Run the Phase Report
```bash
# Render with default (zero) snapshot
python3 scripts/fleet_phase_status.py
# Render with real snapshot
python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json
# Output as JSON
python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json --json
# Write to file
python3 scripts/fleet_phase_status.py --snapshot configs/phase-1-snapshot.json --output docs/FLEET_PHASE_1_SURVIVAL.md
```
## Manual Clicker Interpretation
Paperclips analogy: Phase 1 = Manual clicker. You ARE the automation.
Every restart, every SSH, every check is a manual click.
## Manual Clicks Still Required
- Restart agents and services by hand when a node goes dark.
- SSH into machines to verify health, disk, and memory.
- Check Gitea, relay, and world services manually before and after changes.
- Act as the scheduler when automation is missing or only partially wired.
## Repo Signals Already Present
- `scripts/fleet_health_probe.sh` — Automated health probe exists and can supply the uptime baseline for the next phase.
- `scripts/fleet_milestones.py` — Milestone tracker exists, so survival achievements can be narrated and logged.
- `scripts/auto_restart_agent.sh` — Auto-restart tooling already exists as phase-2 groundwork.
- `scripts/backup_pipeline.sh` — Backup pipeline scaffold exists for post-survival automation work.
- `infrastructure/timmy-bridge/reports/generate_report.py` — Bridge reporting exists and can summarize heartbeat-driven uptime.
The goal of Phase 1 is not to automate. It's to **name what needs automating**. Every manual click documented here is a Phase 2 ticket.
## Notes
- The fleet is alive, but the human is still the control loop.
- Phase 1 is about naming reality plainly so later automation has a baseline to beat.
- Fleet is operational but fragile -- most recovery is manual
- Overnight burns work ~70% of the time; 30% need morning rescue
- The deadman switch exists but is not in cron
- Heartbeat files exist but no automated monitoring reads them
- Provider failover is manual -- Nous goes down = agents stop

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@@ -62,6 +62,24 @@ Writes:
## Usage
### Timmy Mac wiring helper
Use the dedicated Timmy helper when you want to wire a real RunPod or Vertex-style endpoint into the local Mac Hermes config:
```bash
python3 scripts/timmy_gemma4_mac.py --base-url https://your-openai-bridge.example/v1 --write-config
python3 scripts/timmy_gemma4_mac.py --vertex-base-url https://your-vertex-bridge.example --write-config
python3 scripts/timmy_gemma4_mac.py --pod-id <runpod-id> --write-config --verify-chat
```
The helper writes to `~/.hermes/config.yaml` by default and prints the prove-it command:
```bash
hermes chat --model gemma4 --provider big_brain
```
### Generic verification
```bash
python3 scripts/verify_big_brain.py
python3 scripts/big_brain_manager.py

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@@ -10,7 +10,6 @@ BACKUP_LOG_DIR="${BACKUP_LOG_DIR:-${BACKUP_ROOT}/logs}"
BACKUP_RETENTION_DAYS="${BACKUP_RETENTION_DAYS:-14}"
BACKUP_S3_URI="${BACKUP_S3_URI:-}"
BACKUP_NAS_TARGET="${BACKUP_NAS_TARGET:-}"
OFFSITE_TARGET="${OFFSITE_TARGET:-}"
AWS_ENDPOINT_URL="${AWS_ENDPOINT_URL:-}"
BACKUP_NAME="hermes-backup-${DATESTAMP}"
LOCAL_BACKUP_DIR="${BACKUP_ROOT}/${DATESTAMP}"
@@ -32,16 +31,6 @@ fail() {
exit 1
}
send_telegram() {
local message="$1"
if [[ -n "${TELEGRAM_BOT_TOKEN:-}" && -n "${TELEGRAM_CHAT_ID:-}" ]]; then
curl -s -X POST "https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}/sendMessage" \
-d "chat_id=${TELEGRAM_CHAT_ID}" \
-d "text=${message}" \
-d "parse_mode=HTML" > /dev/null || true
fi
}
cleanup() {
rm -f "$PLAINTEXT_ARCHIVE"
rm -rf "$STAGE_DIR"
@@ -129,17 +118,6 @@ upload_to_nas() {
log "Uploaded backup to NAS target: $target_dir"
}
upload_to_offsite() {
local archive_path="$1"
local manifest_path="$2"
local target_root="$3"
local target_dir="${target_root%/}/${DATESTAMP}"
mkdir -p "$target_dir"
rsync -az --delete "$archive_path" "$manifest_path" "$target_dir/"
log "Uploaded backup to offsite target: $target_dir"
}
upload_to_s3() {
local archive_path="$1"
local manifest_path="$2"
@@ -183,16 +161,10 @@ if [[ -n "$BACKUP_NAS_TARGET" ]]; then
upload_to_nas "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH" "$BACKUP_NAS_TARGET"
fi
if [[ -n "$OFFSITE_TARGET" ]]; then
upload_to_offsite "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH" "$OFFSITE_TARGET"
fi
if [[ -n "$BACKUP_S3_URI" ]]; then
upload_to_s3 "$ENCRYPTED_ARCHIVE" "$MANIFEST_PATH"
fi
find "$BACKUP_ROOT" -mindepth 1 -maxdepth 1 -type d -name '20*' -mtime "+${BACKUP_RETENTION_DAYS}" -exec rm -rf {} + 2>/dev/null || true
find "$BACKUP_ROOT" -mindepth 1 -maxdepth 1 -type d -mtime +7 -exec rm -rf {} + 2>/dev/null || true
log "Retention applied (${BACKUP_RETENTION_DAYS} days)"
log "Backup pipeline completed successfully"
send_telegram "✅ Daily backup completed: ${DATESTAMP}"

164
scripts/timmy_gemma4_mac.py Normal file
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@@ -0,0 +1,164 @@
#!/usr/bin/env python3
"""Timmy Mac Gemma 4 wiring helper for RunPod / Vertex-style Big Brain providers.
Refs: timmy-home #543
Safe by default:
- computes a Big Brain base URL from an explicit URL, Vertex bridge URL, or RunPod pod id
- can provision a RunPod pod when --apply-runpod is used and a token is available
- can write the resolved endpoint into a Hermes config when --write-config is used
- can verify an OpenAI-compatible chat endpoint when --verify-chat is used
"""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
from urllib import request
from scripts.bezalel_gemma4_vps import (
DEFAULT_CLOUD_TYPE,
DEFAULT_GPU_TYPE,
DEFAULT_MODEL,
DEFAULT_PROVIDER_NAME,
build_runpod_endpoint,
deploy_runpod,
update_config_text,
)
DEFAULT_TOKEN_FILE = Path.home() / ".config" / "runpod" / "access_key"
DEFAULT_CONFIG_PATH = Path.home() / ".hermes" / "config.yaml"
def _normalize_openai_base(base_url: str | None) -> str:
if not base_url:
return ""
cleaned = str(base_url).strip().rstrip("/")
return cleaned if cleaned.endswith("/v1") else f"{cleaned}/v1"
def choose_base_url(*, vertex_base_url: str | None = None, base_url: str | None = None, pod_id: str | None = None) -> str:
if vertex_base_url:
return _normalize_openai_base(vertex_base_url)
if base_url:
return _normalize_openai_base(base_url)
if pod_id:
return build_runpod_endpoint(pod_id)
return "https://YOUR_BIG_BRAIN_HOST/v1"
def write_config_file(config_path: Path, *, base_url: str, model: str = DEFAULT_MODEL, provider_name: str = DEFAULT_PROVIDER_NAME) -> str:
original = config_path.read_text() if config_path.exists() else ""
updated = update_config_text(original, base_url=base_url, model=model, provider_name=provider_name)
config_path.parent.mkdir(parents=True, exist_ok=True)
config_path.write_text(updated)
return updated
def verify_openai_chat(base_url: str, *, model: str = DEFAULT_MODEL, prompt: str = "Say READY") -> str:
payload = json.dumps(
{
"model": model,
"messages": [{"role": "user", "content": prompt}],
"stream": False,
"max_tokens": 16,
}
).encode()
req = request.Request(
f"{base_url.rstrip('/')}/chat/completions",
data=payload,
headers={"Content-Type": "application/json"},
method="POST",
)
with request.urlopen(req, timeout=30) as resp:
data = json.loads(resp.read().decode())
return data["choices"][0]["message"]["content"]
def build_summary(*, base_url: str, model: str, provider_name: str = DEFAULT_PROVIDER_NAME, config_path: Path = DEFAULT_CONFIG_PATH) -> dict[str, Any]:
return {
"provider_name": provider_name,
"base_url": base_url,
"model": model,
"config_path": str(config_path),
"verification_commands": [
"python3 scripts/verify_big_brain.py",
f"python3 scripts/timmy_gemma4_mac.py --base-url {base_url} --write-config --verify-chat",
"hermes chat --model gemma4 --provider big_brain",
],
}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Wire a RunPod/Vertex Gemma 4 endpoint into Timmy's Mac Hermes config.")
parser.add_argument("--pod-name", default="timmy-gemma4")
parser.add_argument("--gpu-type", default=DEFAULT_GPU_TYPE)
parser.add_argument("--cloud-type", default=DEFAULT_CLOUD_TYPE)
parser.add_argument("--model", default=DEFAULT_MODEL)
parser.add_argument("--provider-name", default=DEFAULT_PROVIDER_NAME)
parser.add_argument("--token-file", type=Path, default=DEFAULT_TOKEN_FILE)
parser.add_argument("--config-path", type=Path, default=DEFAULT_CONFIG_PATH)
parser.add_argument("--pod-id", help="Existing RunPod pod id to convert into an OpenAI-compatible base URL")
parser.add_argument("--base-url", help="Explicit OpenAI-compatible base URL")
parser.add_argument("--vertex-base-url", help="Vertex AI OpenAI-compatible bridge base URL")
parser.add_argument("--apply-runpod", action="store_true", help="Provision a RunPod pod using the RunPod GraphQL API")
parser.add_argument("--write-config", action="store_true", help="Write the resolved endpoint into --config-path")
parser.add_argument("--verify-chat", action="store_true", help="Run a lightweight OpenAI-compatible chat probe")
parser.add_argument("--json", action="store_true", help="Emit machine-readable JSON")
return parser.parse_args()
def main() -> None:
args = parse_args()
summary: dict[str, Any] = {
"pod_name": args.pod_name,
"gpu_type": args.gpu_type,
"cloud_type": args.cloud_type,
"model": args.model,
"provider_name": args.provider_name,
"actions": [],
}
base_url = choose_base_url(vertex_base_url=args.vertex_base_url, base_url=args.base_url, pod_id=args.pod_id)
if args.apply_runpod:
if not args.token_file.exists():
raise SystemExit(f"RunPod token file not found: {args.token_file}")
api_key = args.token_file.read_text().strip()
deployed = deploy_runpod(api_key=api_key, name=args.pod_name, gpu_type=args.gpu_type, cloud_type=args.cloud_type, model=args.model)
summary["deployment"] = deployed
base_url = deployed["base_url"]
summary["actions"].append("deployed_runpod_pod")
summary.update(build_summary(base_url=base_url, model=args.model, provider_name=args.provider_name, config_path=args.config_path))
if args.write_config:
write_config_file(args.config_path, base_url=base_url, model=args.model, provider_name=args.provider_name)
summary["actions"].append("wrote_config")
if args.verify_chat:
summary["verify_response"] = verify_openai_chat(base_url, model=args.model)
summary["actions"].append("verified_chat")
if args.json:
print(json.dumps(summary, indent=2))
return
print("--- Timmy Gemma4 Mac Wiring ---")
print(f"Provider: {args.provider_name}")
print(f"Base URL: {base_url}")
print(f"Model: {args.model}")
print(f"Config path: {args.config_path}")
if "verify_response" in summary:
print(f"Verify response: {summary['verify_response']}")
if summary["actions"]:
print("Actions: " + ", ".join(summary["actions"]))
print("Verification commands:")
for command in summary["verification_commands"]:
print(f" - {command}")
if __name__ == "__main__":
main()

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@@ -0,0 +1,85 @@
from __future__ import annotations
import importlib.util
import json
import sys
from pathlib import Path
from unittest.mock import patch
ROOT = Path(__file__).resolve().parent.parent
SCRIPT = ROOT / "scripts" / "timmy_gemma4_mac.py"
README = ROOT / "scripts" / "README_big_brain.md"
def load_module():
spec = importlib.util.spec_from_file_location("timmy_gemma4_mac", str(SCRIPT))
mod = importlib.util.module_from_spec(spec)
sys.modules["timmy_gemma4_mac"] = mod
spec.loader.exec_module(mod)
return mod
class _FakeResponse:
def __init__(self, payload: dict):
self._payload = json.dumps(payload).encode()
def read(self) -> bytes:
return self._payload
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def test_script_exists() -> None:
assert SCRIPT.exists(), "scripts/timmy_gemma4_mac.py must exist"
def test_default_paths_target_timmy_mac_hermes() -> None:
mod = load_module()
assert mod.DEFAULT_CONFIG_PATH == Path.home() / ".hermes" / "config.yaml"
assert mod.DEFAULT_TOKEN_FILE == Path.home() / ".config" / "runpod" / "access_key"
def test_choose_base_url_prefers_vertex_then_explicit_then_runpod() -> None:
mod = load_module()
assert mod.choose_base_url(vertex_base_url="https://vertex-proxy.example/v1") == "https://vertex-proxy.example/v1"
assert mod.choose_base_url(base_url="https://custom-endpoint/v1") == "https://custom-endpoint/v1"
assert mod.choose_base_url(pod_id="abc123") == "https://abc123-11434.proxy.runpod.net/v1"
def test_build_summary_includes_prove_it_commands() -> None:
mod = load_module()
summary = mod.build_summary(base_url="https://vertex-proxy.example/v1", model="gemma4:latest")
assert summary["verification_commands"][0] == "python3 scripts/verify_big_brain.py"
assert any("hermes chat --model gemma4 --provider big_brain" in cmd for cmd in summary["verification_commands"])
def test_verify_openai_chat_targets_chat_completions() -> None:
mod = load_module()
response_payload = {
"choices": [{"message": {"content": "READY"}}]
}
with patch("timmy_gemma4_mac.request.urlopen", return_value=_FakeResponse(response_payload)) as mocked:
result = mod.verify_openai_chat("https://vertex-proxy.example/v1", model="gemma4:latest", prompt="say READY")
assert result == "READY"
req = mocked.call_args.args[0]
assert req.full_url == "https://vertex-proxy.example/v1/chat/completions"
def test_readme_mentions_timmy_mac_wiring_flow() -> None:
text = README.read_text(encoding="utf-8")
required = [
"scripts/timmy_gemma4_mac.py",
"--vertex-base-url",
"--write-config",
"python3 scripts/verify_big_brain.py",
"hermes chat --model gemma4 --provider big_brain",
]
missing = [item for item in required if item not in text]
assert not missing, missing