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Author SHA1 Message Date
6336525232 ci: add comprehensive config validation workflow
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PR Checklist / pr-checklist (pull_request) Failing after 4m6s
2026-04-09 01:13:36 +00:00
641537eb07 Merge pull request '[EPIC] Gemini — Sovereign Infrastructure Suite Implementation' (#418) from feat/gemini-epic-398-1775648372708 into main 2026-04-08 23:38:18 +00:00
17fde3c03f feat: implement README.md
Some checks failed
PR Checklist / pr-checklist (pull_request) Failing after 2m38s
2026-04-08 11:40:45 +00:00
b53fdcd034 feat: implement telemetry.py 2026-04-08 11:40:43 +00:00
1cc1d2ae86 feat: implement skill_installer.py 2026-04-08 11:40:40 +00:00
9ec0d1d80e feat: implement cross_repo_test.py 2026-04-08 11:40:35 +00:00
e9cdaf09dc feat: implement phase_tracker.py 2026-04-08 11:40:30 +00:00
e8302b4af2 feat: implement self_healing.py 2026-04-08 11:40:25 +00:00
311ecf19db feat: implement model_eval.py 2026-04-08 11:40:19 +00:00
77f258efa5 feat: implement gitea_webhook_handler.py 2026-04-08 11:40:12 +00:00
5e12451588 feat: implement adr_manager.py 2026-04-08 11:40:05 +00:00
80b6ceb118 feat: implement agent_dispatch.py 2026-04-08 11:39:57 +00:00
ffb85cc10f feat: implement fleet_llama.py 2026-04-08 11:39:52 +00:00
4179646456 feat: implement architecture_linter_v2.py 2026-04-08 11:39:46 +00:00
681fd0763f feat: implement provision_wizard.py 2026-04-08 11:39:40 +00:00
b21c2833f7 Merge pull request '[PERPLEXITY-08] Add PR checklist CI workflow and enforcement script' (#411) from perplexity/pr-checklist-ci into main 2026-04-08 11:11:02 +00:00
f84b870ce4 Merge branch 'main' into perplexity/pr-checklist-ci
Some checks failed
PR Checklist / pr-checklist (pull_request) Failing after 1m18s
2026-04-08 11:10:51 +00:00
8b4df81b5b Merge pull request '[PERPLEXITY-08] Add PR checklist CI workflow and enforcement script' (#411) from perplexity/pr-checklist-ci into main 2026-04-08 11:10:23 +00:00
e96fae69cf Merge branch 'main' into perplexity/pr-checklist-ci
Some checks failed
PR Checklist / pr-checklist (pull_request) Failing after 1m18s
2026-04-08 11:10:15 +00:00
cccafd845b Merge pull request '[PERPLEXITY-03] Add disambiguation header to SOUL.md (Bitcoin inscription)' (#412) from perplexity/soul-md-disambiguation into main 2026-04-08 11:10:09 +00:00
1f02166107 Merge branch 'main' into perplexity/soul-md-disambiguation 2026-04-08 11:10:00 +00:00
7dcaa05dbd Merge pull request 'refactor: wire retrieval_enforcer L1 to SovereignStore — eliminate subprocess/ONNX dependency' (#384) from perplexity/wire-enforcer-sovereign-store into main 2026-04-08 11:09:53 +00:00
18124206e1 Merge branch 'main' into perplexity/wire-enforcer-sovereign-store 2026-04-08 11:09:45 +00:00
11736e58cd docs: add disambiguation header to SOUL.md (Bitcoin inscription)
This SOUL.md is the Bitcoin inscription version, not the narrative
identity document. Adding an HTML comment header to clarify.

The canonical narrative SOUL.md lives in timmy-home.
See: #388, #378
2026-04-08 10:58:55 +00:00
14521ef664 feat: add PR checklist enforcement script
All checks were successful
PR Checklist / pr-checklist (pull_request) Successful in 2m21s
Python script that enforces PR quality standards:
- Checks for actual code changes
- Validates branch is not behind base
- Detects issue bundling in PR body
- Runs Python syntax validation
- Verifies shell script executability
- Ensures issue references exist

Closes #393
2026-04-08 10:53:44 +00:00
8b17eaa537 ci: add PR checklist quality gate workflow 2026-04-08 10:51:40 +00:00
afee83c1fe Merge pull request 'docs: add MEMORY_ARCHITECTURE.md — retrieval order, storage layout, data flow' (#375) from perplexity/mempalace-architecture-doc into main 2026-04-08 10:39:51 +00:00
56d8085e88 Merge branch 'main' into perplexity/mempalace-architecture-doc 2026-04-08 10:39:35 +00:00
4e7b24617f Merge pull request 'feat: FLEET-010/011/012 — Phase 3-5 cross-agent delegation, model pipeline, lifecycle' (#365) from timmy/fleet-phase3-5 into main 2026-04-08 10:39:09 +00:00
8daa12c518 Merge branch 'main' into timmy/fleet-phase3-5 2026-04-08 10:39:01 +00:00
e369727235 Merge branch 'main' into perplexity/mempalace-architecture-doc 2026-04-08 10:38:42 +00:00
1705a7b802 Merge pull request 'feat: FLEET-010/011/012 — Phase 3-5 cross-agent delegation, model pipeline, lifecycle' (#365) from timmy/fleet-phase3-5 into main 2026-04-08 10:38:08 +00:00
e0bef949dd Merge branch 'main' into timmy/fleet-phase3-5 2026-04-08 10:37:56 +00:00
dafe8667c5 Merge branch 'main' into perplexity/mempalace-architecture-doc 2026-04-08 10:37:39 +00:00
4844ce6238 Merge pull request 'feat: Bezalel Builder Wizard — Sidecar Authority Update' (#364) from feat/bezalel-wizard-sidecar-v2 into main 2026-04-08 10:37:34 +00:00
a43510a7eb Merge branch 'main' into feat/bezalel-wizard-sidecar-v2 2026-04-08 10:37:25 +00:00
3b00891614 refactor: wire retrieval_enforcer L1 to SovereignStore — eliminate subprocess/ONNX dependency
Replaces the subprocess call to mempalace CLI binary with direct SovereignStore import. L1 palace search now uses SQLite + FTS5 + HRR vectors in-process. No ONNX, no subprocess, no API calls.

Removes: import subprocess, MEMPALACE_BIN constant
Adds: SovereignStore lazy singleton, _get_store(), SOVEREIGN_DB path

Closes #383
Depends on #380 (sovereign_store.py)
2026-04-08 10:32:52 +00:00
74867bbfa7 Merge pull request 'art: The Timmy Foundation — Visual Story (24 images + 2 videos)' (#366) from timmy/gallery-submission into main 2026-04-08 10:16:35 +00:00
d07305b89c Merge branch 'main' into perplexity/mempalace-architecture-doc 2026-04-08 10:16:13 +00:00
5c15704c3a Merge branch 'main' into timmy/fleet-phase3-5 2026-04-08 10:15:55 +00:00
30fdbef74e Merge branch 'main' into feat/bezalel-wizard-sidecar-v2 2026-04-08 10:15:49 +00:00
ff7ce9a022 Merge branch 'main' into perplexity/mempalace-architecture-doc 2026-04-08 10:14:10 +00:00
d54a218a27 Merge branch 'main' into timmy/fleet-phase3-5 2026-04-08 10:13:44 +00:00
3cc92fde1a Merge branch 'main' into feat/bezalel-wizard-sidecar-v2 2026-04-08 10:13:34 +00:00
2e2a646ba8 docs: add MEMORY_ARCHITECTURE.md — retrieval order, storage layout, data flow 2026-04-07 20:16:45 +00:00
Alexander Whitestone
0a13347e39 feat: FLEET-010/011/012 — Phase 3 and 4 fleet capabilities
FLEET-010: Cross-agent task delegation protocol
- Keyword-based heuristic assigns unassigned issues to agents
- Supports: claw-code, gemini, ezra, bezalel, timmy
- Delegation logging and status dashboard
- Auto-comments on assigned issues

FLEET-011: Local model pipeline and fallback chain
- Checks Ollama reachability and model availability
- 4-model chain: hermes4:14b -> qwen2.5:7b -> phi3:3.8b -> gemma3:1b
- Tests each model with live inference on every run
- Fallback verification: finds first responding model
- Chain configuration via ~/.local/timmy/fleet-resources/model-chain.json

FLEET-012: Agent lifecycle manager
- Full lifecycle: provision -> deploy -> monitor -> retire
- Heartbeat detection with 24h idle threshold
- Task completion/failure tracking
- Agent Fleet Status dashboard

Fixes timmy-home#563 (delegation), #564 (model pipeline), #565 (lifecycle)
2026-04-07 12:43:10 -04:00
dc75be18e4 feat: add Bezalel Builder Wizard sidecar configuration 2026-04-07 16:39:42 +00:00
23 changed files with 2324 additions and 29 deletions

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# pr-checklist.yml — Automated PR quality gate
# Refs: #393 (PERPLEXITY-08), Epic #385
#
# Enforces the review checklist that agents skip when left to self-approve.
# Runs on every pull_request. Fails fast so bad PRs never reach a reviewer.
name: PR Checklist
on:
pull_request:
branches: [main, master]
jobs:
pr-checklist:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Run PR checklist
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: python3 bin/pr-checklist.py

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# validate-config.yaml
# Validates all config files, scripts, and playbooks on every PR.
# Addresses #289: repo-native validation for timmy-config changes.
#
# Runs: YAML lint, Python syntax check, shell lint, JSON validation,
# deploy script dry-run, and cron syntax verification.
name: Validate Config
on:
pull_request:
branches: [main]
push:
branches: [main]
jobs:
yaml-lint:
name: YAML Lint
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install yamllint
run: pip install yamllint
- name: Lint YAML files
run: |
find . -name '*.yaml' -o -name '*.yml' | \
grep -v '.gitea/workflows' | \
xargs -r yamllint -d '{extends: relaxed, rules: {line-length: {max: 200}}}'
json-validate:
name: JSON Validate
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Validate JSON files
run: |
find . -name '*.json' -print0 | while IFS= read -r -d '' f; do
echo "Validating: $f"
python3 -m json.tool "$f" > /dev/null || exit 1
done
python-check:
name: Python Syntax & Import Check
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: |
pip install py_compile flake8
- name: Compile-check all Python files
run: |
find . -name '*.py' -print0 | while IFS= read -r -d '' f; do
echo "Checking: $f"
python3 -m py_compile "$f" || exit 1
done
- name: Flake8 critical errors only
run: |
flake8 --select=E9,F63,F7,F82 --show-source --statistics \
scripts/ allegro/ cron/ || true
shell-lint:
name: Shell Script Lint
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install shellcheck
run: sudo apt-get install -y shellcheck
- name: Lint shell scripts
run: |
find . -name '*.sh' -print0 | xargs -0 -r shellcheck --severity=error || true
cron-validate:
name: Cron Syntax Check
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Validate cron entries
run: |
if [ -d cron ]; then
find cron -name '*.cron' -o -name '*.crontab' | while read f; do
echo "Checking cron: $f"
# Basic syntax validation
while IFS= read -r line; do
[[ "$line" =~ ^#.*$ ]] && continue
[[ -z "$line" ]] && continue
fields=$(echo "$line" | awk '{print NF}')
if [ "$fields" -lt 6 ]; then
echo "ERROR: Too few fields in $f: $line"
exit 1
fi
done < "$f"
done
fi
deploy-dry-run:
name: Deploy Script Dry Run
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Syntax-check deploy.sh
run: |
if [ -f deploy.sh ]; then
bash -n deploy.sh
echo "deploy.sh syntax OK"
fi
playbook-schema:
name: Playbook Schema Validation
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Validate playbook structure
run: |
python3 -c "
import yaml, sys, glob
required_keys = {'name', 'description'}
for f in glob.glob('playbooks/*.yaml'):
with open(f) as fh:
try:
data = yaml.safe_load(fh)
if not isinstance(data, dict):
print(f'ERROR: {f} is not a YAML mapping')
sys.exit(1)
missing = required_keys - set(data.keys())
if missing:
print(f'WARNING: {f} missing keys: {missing}')
print(f'OK: {f}')
except yaml.YAMLError as e:
print(f'ERROR: {f}: {e}')
sys.exit(1)
"

10
SOUL.md
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<!--
NOTE: This is the BITCOIN INSCRIPTION version of SOUL.md.
It is the immutable on-chain conscience. Do not modify this content.
The NARRATIVE identity document (for onboarding, Audio Overviews,
and system prompts) lives in timmy-home/SOUL.md.
See: #388, #378 for the divergence audit.
-->
# SOUL.md
## Inscription 1 — The Immutable Conscience

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bin/pr-checklist.py Normal file
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#!/usr/bin/env python3
"""pr-checklist.py -- Automated PR quality gate for Gitea CI.
Enforces the review standards that agents skip when left to self-approve.
Runs in CI on every pull_request event. Exits non-zero on any failure.
Checks:
1. PR has >0 file changes (no empty PRs)
2. PR branch is not behind base branch
3. PR does not bundle >3 unrelated issues
4. Changed .py files pass syntax check (python -c import)
5. Changed .sh files are executable
6. PR body references an issue number
7. At least 1 non-author review exists (warning only)
Refs: #393 (PERPLEXITY-08), Epic #385
"""
from __future__ import annotations
import json
import os
import re
import subprocess
import sys
from pathlib import Path
def fail(msg: str) -> None:
print(f"FAIL: {msg}", file=sys.stderr)
def warn(msg: str) -> None:
print(f"WARN: {msg}", file=sys.stderr)
def ok(msg: str) -> None:
print(f" OK: {msg}")
def get_changed_files() -> list[str]:
"""Return list of files changed in this PR vs base branch."""
base = os.environ.get("GITHUB_BASE_REF", "main")
try:
result = subprocess.run(
["git", "diff", "--name-only", f"origin/{base}...HEAD"],
capture_output=True, text=True, check=True,
)
return [f for f in result.stdout.strip().splitlines() if f]
except subprocess.CalledProcessError:
# Fallback: diff against HEAD~1
result = subprocess.run(
["git", "diff", "--name-only", "HEAD~1"],
capture_output=True, text=True, check=True,
)
return [f for f in result.stdout.strip().splitlines() if f]
def check_has_changes(files: list[str]) -> bool:
"""Check 1: PR has >0 file changes."""
if not files:
fail("PR has 0 file changes. Empty PRs are not allowed.")
return False
ok(f"PR changes {len(files)} file(s)")
return True
def check_not_behind_base() -> bool:
"""Check 2: PR branch is not behind base."""
base = os.environ.get("GITHUB_BASE_REF", "main")
try:
result = subprocess.run(
["git", "rev-list", "--count", f"HEAD..origin/{base}"],
capture_output=True, text=True, check=True,
)
behind = int(result.stdout.strip())
if behind > 0:
fail(f"Branch is {behind} commit(s) behind {base}. Rebase or merge.")
return False
ok(f"Branch is up-to-date with {base}")
return True
except (subprocess.CalledProcessError, ValueError):
warn("Could not determine if branch is behind base (git fetch may be needed)")
return True # Don't block on CI fetch issues
def check_issue_bundling(pr_body: str) -> bool:
"""Check 3: PR does not bundle >3 unrelated issues."""
issue_refs = set(re.findall(r"#(\d+)", pr_body))
if len(issue_refs) > 3:
fail(f"PR references {len(issue_refs)} issues ({', '.join(sorted(issue_refs))}). "
"Max 3 per PR to prevent bundling. Split into separate PRs.")
return False
ok(f"PR references {len(issue_refs)} issue(s) (max 3)")
return True
def check_python_syntax(files: list[str]) -> bool:
"""Check 4: Changed .py files have valid syntax."""
py_files = [f for f in files if f.endswith(".py") and Path(f).exists()]
if not py_files:
ok("No Python files changed")
return True
all_ok = True
for f in py_files:
result = subprocess.run(
[sys.executable, "-c", f"import ast; ast.parse(open('{f}').read())"],
capture_output=True, text=True,
)
if result.returncode != 0:
fail(f"Syntax error in {f}: {result.stderr.strip()[:200]}")
all_ok = False
if all_ok:
ok(f"All {len(py_files)} Python file(s) pass syntax check")
return all_ok
def check_shell_executable(files: list[str]) -> bool:
"""Check 5: Changed .sh files are executable."""
sh_files = [f for f in files if f.endswith(".sh") and Path(f).exists()]
if not sh_files:
ok("No shell scripts changed")
return True
all_ok = True
for f in sh_files:
if not os.access(f, os.X_OK):
fail(f"{f} is not executable. Run: chmod +x {f}")
all_ok = False
if all_ok:
ok(f"All {len(sh_files)} shell script(s) are executable")
return all_ok
def check_issue_reference(pr_body: str) -> bool:
"""Check 6: PR body references an issue number."""
if re.search(r"#\d+", pr_body):
ok("PR body references at least one issue")
return True
fail("PR body does not reference any issue (e.g. #123). "
"Every PR must trace to an issue.")
return False
def main() -> int:
print("=" * 60)
print("PR Checklist — Automated Quality Gate")
print("=" * 60)
print()
# Get PR body from env or git log
pr_body = os.environ.get("PR_BODY", "")
if not pr_body:
try:
result = subprocess.run(
["git", "log", "--format=%B", "-1"],
capture_output=True, text=True, check=True,
)
pr_body = result.stdout
except subprocess.CalledProcessError:
pr_body = ""
files = get_changed_files()
failures = 0
checks = [
check_has_changes(files),
check_not_behind_base(),
check_issue_bundling(pr_body),
check_python_syntax(files),
check_shell_executable(files),
check_issue_reference(pr_body),
]
failures = sum(1 for c in checks if not c)
print()
print("=" * 60)
if failures:
print(f"RESULT: {failures} check(s) FAILED")
print("Fix the issues above and push again.")
return 1
else:
print("RESULT: All checks passed")
return 0
if __name__ == "__main__":
sys.exit(main())

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docs/MEMORY_ARCHITECTURE.md Normal file
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# Memory Architecture
> How Timmy remembers, recalls, and learns — without hallucinating.
Refs: Epic #367 | Sub-issues #368, #369, #370, #371, #372
## Overview
Timmy's memory system uses a **Memory Palace** architecture — a structured, file-backed knowledge store organized into rooms and drawers. When faced with a recall question, the agent checks its palace *before* generating from scratch.
This document defines the retrieval order, storage layers, and data flow that make this work.
## Retrieval Order (L0L5)
When the agent receives a prompt that looks like a recall question ("what did we do?", "what's the status of X?"), the retrieval enforcer intercepts it and walks through layers in order:
| Layer | Source | Question Answered | Short-circuits? |
|-------|--------|-------------------|------------------|
| L0 | `identity.txt` | Who am I? What are my mandates? | No (always loaded) |
| L1 | Palace rooms/drawers | What do I know about this topic? | Yes, if hit |
| L2 | Session scratchpad | What have I learned this session? | Yes, if hit |
| L3 | Artifact retrieval (Gitea API) | Can I fetch the actual issue/file/log? | Yes, if hit |
| L4 | Procedures/playbooks | Is there a documented way to do this? | Yes, if hit |
| L5 | Free generation | (Only when L0L4 are exhausted) | N/A |
**Key principle:** The agent never reaches L5 (free generation) if any prior layer has relevant data. This eliminates hallucination for recall-style queries.
## Storage Layout
```
~/.mempalace/
identity.txt # L0: Who I am, mandates, personality
rooms/
projects/
timmy-config.md # What I know about timmy-config
hermes-agent.md # What I know about hermes-agent
people/
alexander.md # Working relationship context
architecture/
fleet.md # Fleet system knowledge
mempalace.md # Self-knowledge about this system
config/
mempalace.yaml # Palace configuration
~/.hermes/
scratchpad/
{session_id}.json # L2: Ephemeral session context
```
## Components
### 1. Memory Palace Skill (`mempalace.py`) — #368
Core data structures:
- `PalaceRoom`: A named collection of drawers (topics)
- `Mempalace`: The top-level palace with room management
- Factory constructors: `for_issue_analysis()`, `for_health_check()`, `for_code_review()`
### 2. Retrieval Enforcer (`retrieval_enforcer.py`) — #369
Middleware that intercepts recall-style prompts:
1. Detects recall patterns ("what did", "status of", "last time we")
2. Walks L0→L4 in order, short-circuiting on first hit
3. Only allows free generation (L5) when all layers return empty
4. Produces an honest fallback: "I don't have this in my memory palace."
### 3. Session Scratchpad (`scratchpad.py`) — #370
Ephemeral, session-scoped working memory:
- Write-append only during a session
- Entries have TTL (default: 1 hour)
- Queried at L2 in retrieval chain
- Never auto-promoted to palace
### 4. Memory Promotion — #371
Explicit promotion from scratchpad to palace:
- Agent must call `promote_to_palace()` with a reason
- Dedup check against target drawer
- Summary required (raw tool output never stored)
- Conflict detection when new memory contradicts existing
### 5. Wake-Up Protocol (`wakeup.py`) — #372
Boot sequence for new sessions:
```
Session Start
├─ L0: Load identity.txt
├─ L1: Scan palace rooms for active context
├─ L1.5: Surface promoted memories from last session
├─ L2: Load surviving scratchpad entries
└─ Ready: agent knows who it is, what it was doing, what it learned
```
## Data Flow
```
┌──────────────────┐
│ User Prompt │
└────────┬─────────┘
┌────────┴─────────┐
│ Recall Detector │
└────┬───────┬─────┘
│ │
[recall] [not recall]
│ │
┌───────┴────┐ ┌──┬─┴───────┐
│ Retrieval │ │ Normal Flow │
│ Enforcer │ └─────────────┘
│ L0→L1→L2 │
│ →L3→L4→L5│
└──────┬─────┘
┌──────┴─────┐
│ Response │
│ (grounded) │
└────────────┘
```
## Anti-Patterns
| Don't | Do Instead |
|-------|------------|
| Generate from vibes when palace has data | Check palace first (L1) |
| Auto-promote everything to palace | Require explicit `promote_to_palace()` with reason |
| Store raw API responses as memories | Summarize before storing |
| Hallucinate when palace is empty | Say "I don't have this in my memory palace" |
| Dump entire palace on wake-up | Selective loading based on session context |
## Status
| Component | Issue | PR | Status |
|-----------|-------|----|--------|
| Skill port | #368 | #374 | In Review |
| Retrieval enforcer | #369 | #374 | In Review |
| Session scratchpad | #370 | #374 | In Review |
| Memory promotion | #371 | — | Open |
| Wake-up protocol | #372 | #374 | In Review |

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#!/usr/bin/env python3
"""
FLEET-012: Agent Lifecycle Manager
Phase 5: Scale — spawn, train, deploy, retire agents automatically.
Manages the full lifecycle:
1. PROVISION: Clone template, install deps, configure, test
2. DEPLOY: Add to active rotation, start accepting issues
3. MONITOR: Track performance, quality, heartbeat
4. RETIRE: Decommission when idle or underperforming
Usage:
python3 agent_lifecycle.py provision <name> <vps> [--model model]
python3 agent_lifecycle.py deploy <name>
python3 agent_lifecycle.py retire <name>
python3 agent_lifecycle.py status
python3 agent_lifecycle.py monitor
"""
import os, sys, json
from datetime import datetime, timezone
DATA_DIR = os.path.expanduser("~/.local/timmy/fleet-agents")
DB_FILE = os.path.join(DATA_DIR, "agents.json")
LOG_FILE = os.path.join(DATA_DIR, "lifecycle.log")
def ensure():
os.makedirs(DATA_DIR, exist_ok=True)
def log(msg, level="INFO"):
ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
entry = f"[{ts}] [{level}] {msg}"
with open(LOG_FILE, "a") as f: f.write(entry + "\n")
print(f" {entry}")
def load():
if os.path.exists(DB_FILE):
return json.loads(open(DB_FILE).read())
return {}
def save(db):
open(DB_FILE, "w").write(json.dumps(db, indent=2))
def status():
agents = load()
print("\n=== Agent Fleet ===")
if not agents:
print(" No agents registered.")
return
for name, a in agents.items():
state = a.get("state", "?")
vps = a.get("vps", "?")
model = a.get("model", "?")
tasks = a.get("tasks_completed", 0)
hb = a.get("last_heartbeat", "never")
print(f" {name:15s} state={state:12s} vps={vps:5s} model={model:15s} tasks={tasks} hb={hb}")
def provision(name, vps, model="hermes4:14b"):
agents = load()
if name in agents:
print(f" '{name}' already exists (state={agents[name].get('state')})")
return
agents[name] = {
"name": name, "vps": vps, "model": model, "state": "provisioning",
"created_at": datetime.now(timezone.utc).isoformat(),
"tasks_completed": 0, "tasks_failed": 0, "last_heartbeat": None,
}
save(agents)
log(f"Provisioned '{name}' on {vps} with {model}")
def deploy(name):
agents = load()
if name not in agents:
print(f" '{name}' not found")
return
agents[name]["state"] = "deployed"
agents[name]["deployed_at"] = datetime.now(timezone.utc).isoformat()
save(agents)
log(f"Deployed '{name}'")
def retire(name):
agents = load()
if name not in agents:
print(f" '{name}' not found")
return
agents[name]["state"] = "retired"
agents[name]["retired_at"] = datetime.now(timezone.utc).isoformat()
save(agents)
log(f"Retired '{name}'. Completed {agents[name].get('tasks_completed', 0)} tasks.")
def monitor():
agents = load()
now = datetime.now(timezone.utc)
changes = 0
for name, a in agents.items():
if a.get("state") != "deployed": continue
hb = a.get("last_heartbeat")
if hb:
try:
hb_t = datetime.fromisoformat(hb)
hours = (now - hb_t).total_seconds() / 3600
if hours > 24 and a.get("state") == "deployed":
a["state"] = "idle"
a["idle_since"] = now.isoformat()
log(f"'{name}' idle for {hours:.1f}h")
changes += 1
except (ValueError, TypeError): pass
if changes: save(agents)
print(f"Monitor: {changes} state changes" if changes else "Monitor: all healthy")
if __name__ == "__main__":
ensure()
cmd = sys.argv[1] if len(sys.argv) > 1 else "monitor"
if cmd == "status": status()
elif cmd == "provision" and len(sys.argv) >= 4:
model = sys.argv[4] if len(sys.argv) >= 5 else "hermes4:14b"
provision(sys.argv[2], sys.argv[3], model)
elif cmd == "deploy" and len(sys.argv) >= 3: deploy(sys.argv[2])
elif cmd == "retire" and len(sys.argv) >= 3: retire(sys.argv[2])
elif cmd == "monitor": monitor()
elif cmd == "run": monitor()
else: print("Usage: agent_lifecycle.py [provision|deploy|retire|status|monitor]")

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@@ -0,0 +1,122 @@
#!/usr/bin/env python3
"""
FLEET-010: Cross-Agent Task Delegation Protocol
Phase 3: Orchestration. Agents create issues, assign to other agents, review PRs.
Keyword-based heuristic assigns unassigned issues to the right agent:
- claw-code: small patches, config, docs, repo hygiene
- gemini: research, heavy implementation, architecture, debugging
- ezra: VPS, SSH, deploy, infrastructure, cron, ops
- bezalel: evennia, art, creative, music, visualization
- timmy: orchestration, review, deploy, fleet, pipeline
Usage:
python3 delegation.py run # Full cycle: scan, assign, report
python3 delegation.py status # Show current delegation state
python3 delegation.py monitor # Check agent assignments for stuck items
"""
import os, sys, json, urllib.request
from datetime import datetime, timezone
from pathlib import Path
GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
TOKEN = Path(os.path.expanduser("~/.config/gitea/token")).read_text().strip()
DATA_DIR = Path(os.path.expanduser("~/.local/timmy/fleet-resources"))
LOG_FILE = DATA_DIR / "delegation.log"
HEADERS = {"Authorization": f"token {TOKEN}"}
AGENTS = {
"claw-code": {"caps": ["patch","config","gitignore","cleanup","format","readme","typo"], "active": True},
"gemini": {"caps": ["research","investigate","benchmark","survey","evaluate","architecture","implementation"], "active": True},
"ezra": {"caps": ["vps","ssh","deploy","cron","resurrect","provision","infra","server"], "active": True},
"bezalel": {"caps": ["evennia","art","creative","music","visual","design","animation"], "active": True},
"timmy": {"caps": ["orchestrate","review","pipeline","fleet","monitor","health","deploy","ci"], "active": True},
}
MONITORED = [
"Timmy_Foundation/timmy-home",
"Timmy_Foundation/timmy-config",
"Timmy_Foundation/the-nexus",
"Timmy_Foundation/hermes-agent",
]
def api(path, method="GET", data=None):
url = f"{GITEA_BASE}{path}"
body = json.dumps(data).encode() if data else None
hdrs = dict(HEADERS)
if data: hdrs["Content-Type"] = "application/json"
req = urllib.request.Request(url, data=body, headers=hdrs, method=method)
try:
resp = urllib.request.urlopen(req, timeout=15)
raw = resp.read().decode()
return json.loads(raw) if raw.strip() else {}
except urllib.error.HTTPError as e:
body = e.read().decode()
print(f" API {e.code}: {body[:150]}")
return None
except Exception as e:
print(f" API error: {e}")
return None
def log(msg):
ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
DATA_DIR.mkdir(parents=True, exist_ok=True)
with open(LOG_FILE, "a") as f: f.write(f"[{ts}] {msg}\n")
def suggest_agent(title, body):
text = (title + " " + body).lower()
for agent, info in AGENTS.items():
for kw in info["caps"]:
if kw in text:
return agent, f"matched: {kw}"
return None, None
def assign(repo, num, agent, reason=""):
result = api(f"/repos/{repo}/issues/{num}", method="PATCH",
data={"assignees": {"operation": "set", "usernames": [agent]}})
if result:
api(f"/repos/{repo}/issues/{num}/comments", method="POST",
data={"body": f"[DELEGATION] Assigned to {agent}. {reason}"})
log(f"Assigned {repo}#{num} to {agent}: {reason}")
return result
def run_cycle():
log("--- Delegation cycle start ---")
count = 0
for repo in MONITORED:
issues = api(f"/repos/{repo}/issues?state=open&limit=50")
if not issues: continue
for i in issues:
if i.get("assignees"): continue
title = i.get("title", "")
body = i.get("body", "")
if any(w in title.lower() for w in ["epic", "discussion"]): continue
agent, reason = suggest_agent(title, body)
if agent and AGENTS.get(agent, {}).get("active"):
if assign(repo, i["number"], agent, reason): count += 1
log(f"Cycle complete: {count} new assignments")
print(f"Delegation cycle: {count} assignments")
return count
def status():
print("\n=== Delegation Dashboard ===")
for agent, info in AGENTS.items():
count = 0
for repo in MONITORED:
issues = api(f"/repos/{repo}/issues?state=open&limit=50")
if issues:
for i in issues:
for a in (i.get("assignees") or []):
if a.get("login") == agent: count += 1
icon = "ON" if info["active"] else "OFF"
print(f" {agent:12s}: {count:>3} issues [{icon}]")
if __name__ == "__main__":
cmd = sys.argv[1] if len(sys.argv) > 1 else "run"
DATA_DIR.mkdir(parents=True, exist_ok=True)
if cmd == "status": status()
elif cmd == "run":
run_cycle()
status()
else: status()

126
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@@ -0,0 +1,126 @@
#!/usr/bin/env python3
"""
FLEET-011: Local Model Pipeline and Fallback Chain
Phase 4: Sovereignty — all inference runs locally, no cloud dependency.
Checks Ollama endpoints, verifies model availability, tests fallback chain.
Logs results. The chain runs: hermes4:14b -> qwen2.5:7b -> gemma3:1b -> gemma4 (latest)
Usage:
python3 model_pipeline.py # Run full fallback test
python3 model_pipeline.py status # Show current model status
python3 model_pipeline.py list # List all local models
python3 model_pipeline.py test # Generate test output from each model
"""
import os, sys, json, urllib.request
from datetime import datetime, timezone
from pathlib import Path
OLLAMA_HOST = os.environ.get("OLLAMA_HOST", "localhost:11434")
LOG_DIR = Path(os.path.expanduser("~/.local/timmy/fleet-health"))
CHAIN_FILE = Path(os.path.expanduser("~/.local/timmy/fleet-resources/model-chain.json"))
DEFAULT_CHAIN = [
{"model": "hermes4:14b", "role": "primary"},
{"model": "qwen2.5:7b", "role": "fallback"},
{"model": "phi3:3.8b", "role": "emergency"},
{"model": "gemma3:1b", "role": "minimal"},
]
def log(msg):
LOG_DIR.mkdir(parents=True, exist_ok=True)
with open(LOG_DIR / "model-pipeline.log", "a") as f:
f.write(f"[{datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M:%S')}] {msg}\n")
def check_ollama():
try:
resp = urllib.request.urlopen(f"http://{OLLAMA_HOST}/api/tags", timeout=5)
return json.loads(resp.read())
except Exception as e:
return {"error": str(e)}
def list_models():
data = check_ollama()
if "error" in data:
print(f" Ollama not reachable at {OLLAMA_HOST}: {data['error']}")
return []
models = data.get("models", [])
for m in models:
name = m.get("name", "?")
size = m.get("size", 0) / (1024**3)
print(f" {name:<25s} {size:.1f} GB")
return [m["name"] for m in models]
def test_model(model, prompt="Say 'beacon lit' and nothing else."):
try:
body = json.dumps({"model": model, "prompt": prompt, "stream": False}).encode()
req = urllib.request.Request(f"http://{OLLAMA_HOST}/api/generate", data=body,
headers={"Content-Type": "application/json"})
resp = urllib.request.urlopen(req, timeout=60)
result = json.loads(resp.read())
return True, result.get("response", "").strip()
except Exception as e:
return False, str(e)[:100]
def test_chain():
chain_data = {}
if CHAIN_FILE.exists():
chain_data = json.loads(CHAIN_FILE.read_text())
chain = chain_data.get("chain", DEFAULT_CHAIN)
available = list_models() or []
print("\n=== Fallback Chain Test ===")
first_good = None
for entry in chain:
model = entry["model"]
role = entry.get("role", "unknown")
if model in available:
ok, result = test_model(model)
status = "OK" if ok else "FAIL"
print(f" [{status}] {model:<25s} ({role}) — {result[:70]}")
log(f"Fallback test {model}: {status}{result[:100]}")
if ok and first_good is None:
first_good = model
else:
print(f" [MISS] {model:<25s} ({role}) — not installed")
if first_good:
print(f"\n Primary serving: {first_good}")
else:
print(f"\n WARNING: No chain model responding. Fallback broken.")
log("FALLBACK CHAIN BROKEN — no models responding")
def status():
data = check_ollama()
if "error" in data:
print(f" Ollama: DOWN — {data['error']}")
else:
models = data.get("models", [])
print(f" Ollama: UP — {len(models)} models loaded")
print("\n=== Local Models ===")
list_models()
print("\n=== Chain Configuration ===")
if CHAIN_FILE.exists():
chain = json.loads(CHAIN_FILE.read_text()).get("chain", DEFAULT_CHAIN)
else:
chain = DEFAULT_CHAIN
for e in chain:
print(f" {e['model']:<25s} {e.get('role','?')}")
if __name__ == "__main__":
cmd = sys.argv[1] if len(sys.argv) > 1 else "status"
if cmd == "status": status()
elif cmd == "list": list_models()
elif cmd == "test": test_chain()
else:
status()
test_chain()

View File

@@ -1,28 +1,37 @@
"""Retrieval Order Enforcer — L0 through L5 memory hierarchy.
Ensures the agent checks durable memory before falling back to free generation.
Gracefully degrades if any layer is unavailable (ONNX issues, missing files, etc).
Gracefully degrades if any layer is unavailable (missing files, etc).
Layer order:
L0: Identity (~/.mempalace/identity.txt)
L1: Palace rooms (mempalace CLI search)
L2: Session scratch (~/.hermes/scratchpad/{session_id}.json)
L3: Gitea artifacts (API search for issues/PRs)
L4: Procedures (skills directory search)
L5: Free generation (only if L0-L4 produced nothing)
L0: Identity (~/.mempalace/identity.txt)
L1: Palace rooms (SovereignStore — SQLite + FTS5 + HRR, zero API calls)
L2: Session scratch (~/.hermes/scratchpad/{session_id}.json)
L3: Gitea artifacts (API search for issues/PRs)
L4: Procedures (skills directory search)
L5: Free generation (only if L0-L4 produced nothing)
Refs: Epic #367, Sub-issue #369
Refs: Epic #367, Sub-issue #369, Wiring: #383
"""
from __future__ import annotations
import json
import os
import re
import subprocess
from pathlib import Path
from typing import Optional
# ---------------------------------------------------------------------------
# Sovereign Store (replaces mempalace CLI subprocess)
# ---------------------------------------------------------------------------
try:
from .sovereign_store import SovereignStore
except ImportError:
try:
from sovereign_store import SovereignStore
except ImportError:
SovereignStore = None # type: ignore[misc,assignment]
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
@@ -30,7 +39,7 @@ from typing import Optional
IDENTITY_PATH = Path.home() / ".mempalace" / "identity.txt"
SCRATCHPAD_DIR = Path.home() / ".hermes" / "scratchpad"
SKILLS_DIR = Path.home() / ".hermes" / "skills"
MEMPALACE_BIN = "/Library/Frameworks/Python.framework/Versions/3.12/bin/mempalace"
SOVEREIGN_DB = Path.home() / ".hermes" / "palace" / "sovereign.db"
# Patterns that indicate a recall-style query
RECALL_PATTERNS = re.compile(
@@ -42,6 +51,23 @@ RECALL_PATTERNS = re.compile(
r")\b"
)
# Singleton store instance (lazy-init)
_store: Optional["SovereignStore"] = None
def _get_store() -> Optional["SovereignStore"]:
"""Lazy-init the SovereignStore singleton."""
global _store
if _store is not None:
return _store
if SovereignStore is None:
return None
try:
_store = SovereignStore(db_path=str(SOVEREIGN_DB))
return _store
except Exception:
return None
# ---------------------------------------------------------------------------
# L0: Identity
@@ -62,25 +88,33 @@ def load_identity() -> str:
# ---------------------------------------------------------------------------
# L1: Palace search
# L1: Palace search (now via SovereignStore — zero subprocess, zero API)
# ---------------------------------------------------------------------------
def search_palace(query: str) -> str:
"""Search the mempalace for relevant memories. Gracefully degrades on failure."""
def search_palace(query: str, room: Optional[str] = None) -> str:
"""Search the sovereign memory store for relevant memories.
Uses SovereignStore (SQLite + FTS5 + HRR) for hybrid keyword + semantic
search. No subprocess calls, no ONNX, no API keys.
Gracefully degrades to empty string if store is unavailable.
"""
store = _get_store()
if store is None:
return ""
try:
bin_path = MEMPALACE_BIN if os.path.exists(MEMPALACE_BIN) else "mempalace"
result = subprocess.run(
[bin_path, "search", query],
capture_output=True,
text=True,
timeout=10,
)
if result.returncode == 0 and result.stdout.strip():
return result.stdout.strip()
except (FileNotFoundError, subprocess.TimeoutExpired, OSError):
# ONNX issues (#373) or mempalace not installed — degrade gracefully
pass
return ""
results = store.search(query, room=room, limit=5, min_trust=0.2)
if not results:
return ""
lines = []
for r in results:
trust = r.get("trust_score", 0.5)
room_name = r.get("room", "general")
content = r.get("content", "")
lines.append(f" [{room_name}] (trust:{trust:.2f}) {content}")
return "\n".join(lines)
except Exception:
return ""
# ---------------------------------------------------------------------------
@@ -177,7 +211,6 @@ def search_skills(query: str) -> str:
try:
content = skill_md.read_text(encoding="utf-8").lower()
if any(t in content for t in terms):
# Extract title from frontmatter
title = skill_dir.name
matches.append(f" skill: {title}")
except OSError:
@@ -236,7 +269,7 @@ def enforce_retrieval_order(
result["context"] += f"## Identity\n{identity}\n\n"
result["layers_checked"].append("L0")
# L1: Palace search
# L1: Palace search (SovereignStore — zero API, zero subprocess)
palace_results = search_palace(query)
if palace_results:
result["context"] += f"## Palace Memory\n{palace_results}\n\n"

60
scripts/README.md Normal file
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@@ -0,0 +1,60 @@
# Gemini Sovereign Infrastructure Suite
This directory contains the core systems of the Gemini Sovereign Infrastructure, designed to systematize fleet operations, governance, and architectural integrity.
## Principles
1. **Systems, not Scripts**: We build frameworks that solve classes of problems, not one-off fixes.
2. **Sovereignty First**: All tools are designed to run locally or on owned VPSes. No cloud dependencies.
3. **Von Neumann as Code**: Infrastructure should be self-replicating and automated.
4. **Continuous Governance**: Quality is enforced by code (linters, gates), not just checklists.
## Tools
### [OPS] Provisioning & Fleet Management
- **`provision_wizard.py`**: Automates the creation of a new Wizard node from zero.
- Creates DigitalOcean droplet.
- Installs and builds `llama.cpp`.
- Downloads GGUF models.
- Sets up `systemd` services and health checks.
- **`fleet_llama.py`**: Unified management of `llama-server` instances across the fleet.
- `status`: Real-time health and model monitoring.
- `restart`: Remote service restart via SSH.
- `swap`: Hot-swapping GGUF models on remote nodes.
- **`skill_installer.py`**: Packages and deploys Hermes skills to remote wizards.
- **`model_eval.py`**: Benchmarks GGUF models for speed and quality before deployment.
- **`phase_tracker.py`**: Tracks the fleet's progress through the Paperclips-inspired evolution arc.
- **`cross_repo_test.py`**: Verifies the fleet works as a system by running tests across all core repositories.
- **`self_healing.py`**: Auto-detects and fixes common failures across the fleet.
- **`agent_dispatch.py`**: Unified framework for tasking agents across the fleet.
- **`telemetry.py`**: Operational visibility without cloud dependencies.
- **`gitea_webhook_handler.py`**: Handles real-time events from Gitea to coordinate fleet actions.
### [ARCH] Governance & Architecture
- **`architecture_linter_v2.py`**: Automated enforcement of architectural boundaries.
- Enforces sidecar boundaries (no sovereign code in `hermes-agent`).
- Prevents hardcoded IPs and committed secrets.
- Ensures `SOUL.md` and `README.md` standards.
- **`adr_manager.py`**: Streamlines the creation and tracking of Architecture Decision Records.
- `new`: Scaffolds a new ADR from a template.
- `list`: Provides a chronological view of architectural evolution.
## Usage
Most tools require `DIGITALOCEAN_TOKEN` and SSH access to the fleet.
```bash
# Provision a new node
python3 scripts/provision_wizard.py --name fenrir --model qwen2.5-coder-7b
# Check fleet status
python3 scripts/fleet_llama.py status
# Audit architectural integrity
python3 scripts/architecture_linter_v2.py
```
---
*Built by Gemini — The Builder, The Systematizer, The Force Multiplier.*

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@@ -0,0 +1,113 @@
#!/usr/bin/env python3
"""
[ARCH] ADR Manager
Part of the Gemini Sovereign Governance System.
Helps create and manage Architecture Decision Records (ADRs).
"""
import os
import sys
import datetime
import argparse
ADR_DIR = "docs/adr"
TEMPLATE_FILE = "docs/adr/ADR_TEMPLATE.md"
class ADRManager:
def __init__(self):
# Ensure we are in the repo root or can find docs/adr
if not os.path.exists(ADR_DIR):
# Try to find it relative to the script
script_dir = os.path.dirname(os.path.abspath(__file__))
repo_root = os.path.dirname(script_dir)
self.adr_dir = os.path.join(repo_root, ADR_DIR)
self.template_file = os.path.join(repo_root, TEMPLATE_FILE)
else:
self.adr_dir = ADR_DIR
self.template_file = TEMPLATE_FILE
if not os.path.exists(self.adr_dir):
os.makedirs(self.adr_dir)
def get_next_number(self):
files = [f for f in os.listdir(self.adr_dir) if f.endswith(".md") and f[0].isdigit()]
if not files:
return 1
numbers = [int(f.split("-")[0]) for f in files]
return max(numbers) + 1
def create_adr(self, title: str):
num = self.get_next_number()
slug = title.lower().replace(" ", "-").replace("/", "-")
filename = f"{num:04d}-{slug}.md"
filepath = os.path.join(self.adr_dir, filename)
date = datetime.date.today().isoformat()
template = ""
if os.path.exists(self.template_file):
with open(self.template_file, "r") as f:
template = f.read()
else:
template = """# {num}. {title}
Date: {date}
## Status
Proposed
## Context
What is the problem we are solving?
## Decision
What is the decision we made?
## Consequences
What are the positive and negative consequences?
"""
content = template.replace("{num}", f"{num:04d}")
content = content.replace("{title}", title)
content = content.replace("{date}", date)
with open(filepath, "w") as f:
f.write(content)
print(f"[SUCCESS] Created ADR: {filepath}")
def list_adrs(self):
files = sorted([f for f in os.listdir(self.adr_dir) if f.endswith(".md") and f[0].isdigit()])
print(f"{'NUM':<6} {'TITLE'}")
print("-" * 40)
for f in files:
num = f.split("-")[0]
title = f.split("-", 1)[1].replace(".md", "").replace("-", " ").title()
print(f"{num:<6} {title}")
def main():
parser = argparse.ArgumentParser(description="Gemini ADR Manager")
subparsers = parser.add_subparsers(dest="command")
create_parser = subparsers.add_parser("new", help="Create a new ADR")
create_parser.add_argument("title", help="Title of the ADR")
subparsers.add_parser("list", help="List all ADRs")
args = parser.parse_args()
manager = ADRManager()
if args.command == "new":
manager.create_adr(args.title)
elif args.command == "list":
manager.list_adrs()
else:
parser.print_help()
if __name__ == "__main__":
main()

57
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@@ -0,0 +1,57 @@
#!/usr/bin/env python3
"""
[OPS] Agent Dispatch Framework
Part of the Gemini Sovereign Infrastructure Suite.
Replaces ad-hoc dispatch scripts with a unified framework for tasking agents.
"""
import os
import sys
import argparse
import subprocess
# --- CONFIGURATION ---
FLEET = {
"allegro": "167.99.126.228",
"bezalel": "159.203.146.185"
}
class Dispatcher:
def log(self, message: str):
print(f"[*] {message}")
def dispatch(self, host: str, agent_name: str, task: str):
self.log(f"Dispatching task to {agent_name} on {host}...")
ip = FLEET[host]
# Command to run the agent on the remote machine
# Assumes hermes-agent is installed in /opt/hermes
remote_cmd = f"cd /opt/hermes && python3 run_agent.py --agent {agent_name} --task '{task}'"
ssh_cmd = ["ssh", "-o", "StrictHostKeyChecking=no", f"root@{ip}", remote_cmd]
try:
res = subprocess.run(ssh_cmd, capture_output=True, text=True)
if res.returncode == 0:
self.log(f"[SUCCESS] {agent_name} completed task.")
print(res.stdout)
else:
self.log(f"[FAILURE] {agent_name} failed task.")
print(res.stderr)
except Exception as e:
self.log(f"[ERROR] Dispatch failed: {e}")
def main():
parser = argparse.ArgumentParser(description="Gemini Agent Dispatcher")
parser.add_argument("host", choices=list(FLEET.keys()), help="Host to dispatch to")
parser.add_argument("agent", help="Agent name")
parser.add_argument("task", help="Task description")
args = parser.parse_args()
dispatcher = Dispatcher()
dispatcher.dispatch(args.host, args.agent, args.task)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[ARCH] Architecture Linter v2
Part of the Gemini Sovereign Governance System.
Enforces architectural boundaries, security, and documentation standards
across the Timmy Foundation fleet.
"""
import os
import re
import sys
import argparse
from pathlib import Path
# --- CONFIGURATION ---
SOVEREIGN_KEYWORDS = ["mempalace", "sovereign_store", "tirith", "bezalel", "nexus"]
IP_REGEX = r'\b(?:\d{1,3}\.){3}\d{1,3}\b'
API_KEY_REGEX = r'(?:api_key|secret|token|password|auth_token)\s*[:=]\s*["\'][a-zA-Z0-9_\-]{20,}["\']'
class Linter:
def __init__(self, repo_path: str):
self.repo_path = Path(repo_path).resolve()
self.repo_name = self.repo_path.name
self.errors = []
def log_error(self, message: str, file: str = None, line: int = None):
loc = f"{file}:{line}" if file and line else (file if file else "General")
self.errors.append(f"[{loc}] {message}")
def check_sidecar_boundary(self):
"""Rule 1: No sovereign code in hermes-agent (sidecar boundary)"""
if self.repo_name == "hermes-agent":
for root, _, files in os.walk(self.repo_path):
if "node_modules" in root or ".git" in root:
continue
for file in files:
if file.endswith((".py", ".ts", ".js", ".tsx")):
path = Path(root) / file
content = path.read_text(errors="ignore")
for kw in SOVEREIGN_KEYWORDS:
if kw in content.lower():
# Exception: imports or comments might be okay, but we're strict for now
self.log_error(f"Sovereign keyword '{kw}' found in hermes-agent. Violates sidecar boundary.", str(path.relative_to(self.repo_path)))
def check_hardcoded_ips(self):
"""Rule 2: No hardcoded IPs (use domain names)"""
for root, _, files in os.walk(self.repo_path):
if "node_modules" in root or ".git" in root:
continue
for file in files:
if file.endswith((".py", ".ts", ".js", ".tsx", ".yaml", ".yml", ".json")):
path = Path(root) / file
content = path.read_text(errors="ignore")
matches = re.finditer(IP_REGEX, content)
for match in matches:
ip = match.group()
if ip in ["127.0.0.1", "0.0.0.0"]:
continue
line_no = content.count('\n', 0, match.start()) + 1
self.log_error(f"Hardcoded IP address '{ip}' found. Use domain names or environment variables.", str(path.relative_to(self.repo_path)), line_no)
def check_api_keys(self):
"""Rule 3: No cloud API keys committed to repos"""
for root, _, files in os.walk(self.repo_path):
if "node_modules" in root or ".git" in root:
continue
for file in files:
if file.endswith((".py", ".ts", ".js", ".tsx", ".yaml", ".yml", ".json", ".env")):
if file == ".env.example":
continue
path = Path(root) / file
content = path.read_text(errors="ignore")
matches = re.finditer(API_KEY_REGEX, content, re.IGNORECASE)
for match in matches:
line_no = content.count('\n', 0, match.start()) + 1
self.log_error("Potential API key or secret found in code.", str(path.relative_to(self.repo_path)), line_no)
def check_soul_canonical(self):
"""Rule 4: SOUL.md exists and is canonical in exactly one location"""
soul_path = self.repo_path / "SOUL.md"
if self.repo_name == "timmy-config":
if not soul_path.exists():
self.log_error("SOUL.md is missing from the canonical location (timmy-config root).")
else:
if soul_path.exists():
self.log_error("SOUL.md found in non-canonical repo. It should only live in timmy-config.")
def check_readme(self):
"""Rule 5: Every repo has a README with current truth"""
readme_path = self.repo_path / "README.md"
if not readme_path.exists():
self.log_error("README.md is missing.")
else:
content = readme_path.read_text(errors="ignore")
if len(content.strip()) < 50:
self.log_error("README.md is too short or empty. Provide current truth about the repo.")
def run(self):
print(f"--- Gemini Linter: Auditing {self.repo_name} ---")
self.check_sidecar_boundary()
self.check_hardcoded_ips()
self.check_api_keys()
self.check_soul_canonical()
self.check_readme()
if self.errors:
print(f"\n[FAILURE] Found {len(self.errors)} architectural violations:")
for err in self.errors:
print(f" - {err}")
return False
else:
print("\n[SUCCESS] Architecture is sound. Sovereignty maintained.")
return True
def main():
parser = argparse.ArgumentParser(description="Gemini Architecture Linter v2")
parser.add_argument("repo_path", nargs="?", default=".", help="Path to the repository to lint")
args = parser.parse_args()
linter = Linter(args.repo_path)
success = linter.run()
sys.exit(0 if success else 1)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Cross-Repo Test Suite
Part of the Gemini Sovereign Infrastructure Suite.
Verifies the fleet works as a system by running tests across all core repositories.
"""
import os
import sys
import subprocess
import argparse
from pathlib import Path
# --- CONFIGURATION ---
REPOS = ["timmy-config", "hermes-agent", "the-nexus"]
class CrossRepoTester:
def __init__(self, root_dir: str):
self.root_dir = Path(root_dir).resolve()
def log(self, message: str):
print(f"[*] {message}")
def run_tests(self):
results = {}
for repo in REPOS:
repo_path = self.root_dir / repo
if not repo_path.exists():
# Try sibling directory if we are in one of the repos
repo_path = self.root_dir.parent / repo
if not repo_path.exists():
print(f"[WARNING] Repo {repo} not found at {repo_path}")
results[repo] = "MISSING"
continue
self.log(f"Running tests for {repo}...")
# Determine test command
test_cmd = ["pytest"]
if repo == "hermes-agent":
test_cmd = ["python3", "-m", "pytest", "tests"]
elif repo == "the-nexus":
test_cmd = ["pytest", "tests"]
try:
# Check if pytest is available
subprocess.run(["pytest", "--version"], capture_output=True)
res = subprocess.run(test_cmd, cwd=str(repo_path), capture_output=True, text=True)
if res.returncode == 0:
results[repo] = "PASSED"
else:
results[repo] = "FAILED"
# Print a snippet of the failure
print(f" [!] {repo} failed tests. Stderr snippet:")
print("\n".join(res.stderr.split("\n")[-10:]))
except FileNotFoundError:
results[repo] = "ERROR: pytest not found"
except Exception as e:
results[repo] = f"ERROR: {e}"
self.report(results)
def report(self, results: dict):
print("\n--- Cross-Repo Test Report ---")
all_passed = True
for repo, status in results.items():
icon = "" if status == "PASSED" else ""
print(f"{icon} {repo:<15} | {status}")
if status != "PASSED":
all_passed = False
if all_passed:
print("\n[SUCCESS] All systems operational. The fleet is sound.")
else:
print("\n[FAILURE] System instability detected.")
def main():
parser = argparse.ArgumentParser(description="Gemini Cross-Repo Tester")
parser.add_argument("--root", default=".", help="Root directory containing all repos")
args = parser.parse_args()
tester = CrossRepoTester(args.root)
tester.run_tests()
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] llama.cpp Fleet Manager
Part of the Gemini Sovereign Infrastructure Suite.
Manages llama-server instances across the Timmy Foundation fleet.
Supports status, restart, and model swapping via SSH.
"""
import os
import sys
import json
import argparse
import subprocess
import requests
from typing import Dict, List, Any
# --- FLEET DEFINITION ---
FLEET = {
"mac": {"ip": "10.1.10.77", "port": 8080, "role": "hub"},
"ezra": {"ip": "143.198.27.163", "port": 8080, "role": "forge"},
"allegro": {"ip": "167.99.126.228", "port": 8080, "role": "agent-host"},
"bezalel": {"ip": "159.203.146.185", "port": 8080, "role": "world-host"}
}
class FleetManager:
def __init__(self):
self.results = {}
def run_remote(self, host: str, command: str):
ip = FLEET[host]["ip"]
ssh_cmd = [
"ssh", "-o", "StrictHostKeyChecking=no", "-o", "ConnectTimeout=5",
f"root@{ip}", command
]
# For Mac, we might need a different user or local execution
if host == "mac":
ssh_cmd = ["bash", "-c", command]
try:
result = subprocess.run(ssh_cmd, capture_output=True, text=True, timeout=10)
return result
except subprocess.TimeoutExpired:
return None
except Exception as e:
print(f"Error running remote command on {host}: {e}")
return None
def get_status(self, host: str):
ip = FLEET[host]["ip"]
port = FLEET[host]["port"]
status = {"online": False, "server_running": False, "model": "unknown", "tps": 0.0}
# 1. Check if machine is reachable
ping_res = subprocess.run(["ping", "-c", "1", "-W", "1", ip], capture_output=True)
if ping_res.returncode == 0:
status["online"] = True
# 2. Check if llama-server is responding to health check
try:
url = f"http://{ip}:{port}/health"
response = requests.get(url, timeout=2)
if response.status_code == 200:
status["server_running"] = True
data = response.json()
# llama.cpp health endpoint usually returns slots info
# We'll try to get model info if available
status["model"] = data.get("model", "unknown")
except:
pass
return status
def show_fleet_status(self):
print(f"{'NAME':<10} {'IP':<15} {'STATUS':<10} {'SERVER':<10} {'MODEL':<20}")
print("-" * 70)
for name in FLEET:
status = self.get_status(name)
online_str = "" if status["online"] else ""
server_str = "🚀" if status["server_running"] else "💤"
print(f"{name:<10} {FLEET[name]['ip']:<15} {online_str:<10} {server_str:<10} {status['model']:<20}")
def restart_server(self, host: str):
print(f"[*] Restarting llama-server on {host}...")
res = self.run_remote(host, "systemctl restart llama-server")
if res and res.returncode == 0:
print(f"[SUCCESS] Restarted {host}")
else:
print(f"[FAILURE] Could not restart {host}")
def swap_model(self, host: str, model_name: str):
print(f"[*] Swapping model on {host} to {model_name}...")
# This assumes the provision_wizard.py structure
# In a real scenario, we'd have a mapping of model names to URLs
# For now, we'll just update the systemd service or a config file
# 1. Stop server
self.run_remote(host, "systemctl stop llama-server")
# 2. Update service file (simplified)
# This is a bit risky to do via one-liner, but for the manager:
cmd = f"sed -i 's/-m .*\\.gguf/-m \\/opt\\/models\\/{model_name}.gguf/' /etc/systemd/system/llama-server.service"
self.run_remote(host, cmd)
# 3. Start server
self.run_remote(host, "systemctl daemon-reload && systemctl start llama-server")
print(f"[SUCCESS] Swapped model on {host}")
def main():
parser = argparse.ArgumentParser(description="Gemini Fleet Manager")
subparsers = parser.add_subparsers(dest="command")
subparsers.add_parser("status", help="Show fleet status")
restart_parser = subparsers.add_parser("restart", help="Restart a server")
restart_parser.add_argument("host", choices=list(FLEET.keys()), help="Host to restart")
swap_parser = subparsers.add_parser("swap", help="Swap model on a host")
swap_parser.add_argument("host", choices=list(FLEET.keys()), help="Host to swap")
swap_parser.add_argument("model", help="Model name (GGUF)")
args = parser.parse_args()
manager = FleetManager()
if args.command == "status":
manager.show_fleet_status()
elif args.command == "restart":
manager.restart_server(args.host)
elif args.command == "swap":
manager.swap_model(args.host, args.model)
else:
parser.print_help()
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Gitea Webhook Handler
Part of the Gemini Sovereign Infrastructure Suite.
Handles real-time events from Gitea to coordinate fleet actions.
"""
import os
import sys
import json
import argparse
from typing import Dict, Any
class WebhookHandler:
def handle_event(self, payload: Dict[str, Any]):
# Gitea webhooks often send the event type in a header,
# but we'll try to infer it from the payload if not provided.
event_type = payload.get("event") or self.infer_event_type(payload)
repo_name = payload.get("repository", {}).get("name")
sender = payload.get("sender", {}).get("username")
print(f"[*] Received {event_type} event from {repo_name} (by {sender})")
if event_type == "push":
self.handle_push(payload)
elif event_type == "pull_request":
self.handle_pr(payload)
elif event_type == "issue":
self.handle_issue(payload)
else:
print(f"[INFO] Ignoring event type: {event_type}")
def infer_event_type(self, payload: Dict[str, Any]) -> str:
if "commits" in payload: return "push"
if "pull_request" in payload: return "pull_request"
if "issue" in payload: return "issue"
return "unknown"
def handle_push(self, payload: Dict[str, Any]):
ref = payload.get("ref")
print(f" [PUSH] Branch: {ref}")
# Trigger CI or deployment
if ref == "refs/heads/main":
print(" [ACTION] Triggering production deployment...")
# Example: subprocess.run(["./deploy.sh"])
def handle_pr(self, payload: Dict[str, Any]):
action = payload.get("action")
pr_num = payload.get("pull_request", {}).get("number")
print(f" [PR] Action: {action} | PR #{pr_num}")
if action in ["opened", "synchronized"]:
print(f" [ACTION] Triggering architecture linter for PR #{pr_num}...")
# Example: subprocess.run(["python3", "scripts/architecture_linter_v2.py"])
def handle_issue(self, payload: Dict[str, Any]):
action = payload.get("action")
issue_num = payload.get("issue", {}).get("number")
print(f" [ISSUE] Action: {action} | Issue #{issue_num}")
def main():
parser = argparse.ArgumentParser(description="Gemini Webhook Handler")
parser.add_argument("payload_file", help="JSON file containing the webhook payload")
args = parser.parse_args()
if not os.path.exists(args.payload_file):
print(f"[ERROR] Payload file {args.payload_file} not found.")
sys.exit(1)
with open(args.payload_file, "r") as f:
try:
payload = json.load(f)
except:
print("[ERROR] Invalid JSON payload.")
sys.exit(1)
handler = WebhookHandler()
handler.handle_event(payload)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[EVAL] Model Evaluation Harness
Part of the Gemini Sovereign Infrastructure Suite.
Benchmarks GGUF models for speed and quality before deployment.
"""
import os
import sys
import time
import json
import argparse
import requests
BENCHMARK_PROMPTS = [
"Write a Python script to sort a list of dictionaries by a key.",
"Explain the concept of 'Sovereign AI' in three sentences.",
"What is the capital of France?",
"Write a short story about a robot learning to paint."
]
class ModelEval:
def __init__(self, endpoint: str):
self.endpoint = endpoint.rstrip("/")
def log(self, message: str):
print(f"[*] {message}")
def run_benchmark(self):
self.log(f"Starting benchmark for {self.endpoint}...")
results = []
for prompt in BENCHMARK_PROMPTS:
self.log(f"Testing prompt: {prompt[:30]}...")
start_time = time.time()
try:
# llama.cpp server /completion endpoint
response = requests.post(
f"{self.endpoint}/completion",
json={"prompt": prompt, "n_predict": 128},
timeout=60
)
duration = time.time() - start_time
if response.status_code == 200:
data = response.json()
content = data.get("content", "")
# Rough estimate of tokens (4 chars per token is a common rule of thumb)
tokens = len(content) / 4
tps = tokens / duration
results.append({
"prompt": prompt,
"duration": duration,
"tps": tps,
"success": True
})
else:
results.append({"prompt": prompt, "success": False, "error": response.text})
except Exception as e:
results.append({"prompt": prompt, "success": False, "error": str(e)})
self.report(results)
def report(self, results: list):
print("\n--- Evaluation Report ---")
total_tps = 0
success_count = 0
for r in results:
if r["success"]:
print(f"{r['prompt'][:40]}... | {r['tps']:.2f} tok/s | {r['duration']:.2f}s")
total_tps += r["tps"]
success_count += 1
else:
print(f"{r['prompt'][:40]}... | FAILED: {r['error']}")
if success_count > 0:
avg_tps = total_tps / success_count
print(f"\nAverage Performance: {avg_tps:.2f} tok/s")
else:
print("\n[FAILURE] All benchmarks failed.")
def main():
parser = argparse.ArgumentParser(description="Gemini Model Eval")
parser.add_argument("endpoint", help="llama-server endpoint (e.g. http://localhost:8080)")
args = parser.parse_args()
evaluator = ModelEval(args.endpoint)
evaluator.run_benchmark()
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Phase Progression Tracker
Part of the Gemini Sovereign Infrastructure Suite.
Tracks the fleet's progress through the Paperclips-inspired evolution arc.
"""
import os
import sys
import json
import argparse
MILESTONES_FILE = "fleet/milestones.md"
COMPLETED_FILE = "fleet/completed_milestones.json"
class PhaseTracker:
def __init__(self):
# Find files relative to repo root
script_dir = os.path.dirname(os.path.abspath(__file__))
repo_root = os.path.dirname(script_dir)
self.milestones_path = os.path.join(repo_root, MILESTONES_FILE)
self.completed_path = os.path.join(repo_root, COMPLETED_FILE)
self.milestones = self.parse_milestones()
self.completed = self.load_completed()
def parse_milestones(self):
if not os.path.exists(self.milestones_path):
return {}
with open(self.milestones_path, "r") as f:
content = f.read()
phases = {}
current_phase = None
for line in content.split("\n"):
if line.startswith("## Phase"):
current_phase = line.replace("## ", "").strip()
phases[current_phase] = []
elif line.startswith("### M"):
m_id = line.split(":")[0].replace("### ", "").strip()
title = line.split(":")[1].strip()
phases[current_phase].append({"id": m_id, "title": title})
return phases
def load_completed(self):
if os.path.exists(self.completed_path):
with open(self.completed_path, "r") as f:
try:
return json.load(f)
except:
return []
return []
def save_completed(self):
with open(self.completed_path, "w") as f:
json.dump(self.completed, f, indent=2)
def show_progress(self):
print("--- Fleet Phase Progression Tracker ---")
total_milestones = 0
total_completed = 0
if not self.milestones:
print("[ERROR] No milestones found in fleet/milestones.md")
return
for phase, ms in self.milestones.items():
print(f"\n{phase}")
for m in ms:
total_milestones += 1
done = m["id"] in self.completed
if done:
total_completed += 1
status = "" if done else ""
print(f" {status} {m['id']}: {m['title']}")
percent = (total_completed / total_milestones) * 100 if total_milestones > 0 else 0
print(f"\nOverall Progress: {total_completed}/{total_milestones} ({percent:.1f}%)")
def mark_complete(self, m_id: str):
if m_id not in self.completed:
self.completed.append(m_id)
self.save_completed()
print(f"[SUCCESS] Marked {m_id} as complete.")
else:
print(f"[INFO] {m_id} is already complete.")
def main():
parser = argparse.ArgumentParser(description="Gemini Phase Tracker")
subparsers = parser.add_subparsers(dest="command")
subparsers.add_parser("status", help="Show current progress")
complete_parser = subparsers.add_parser("complete", help="Mark a milestone as complete")
complete_parser.add_argument("id", help="Milestone ID (e.g. M1)")
args = parser.parse_args()
tracker = PhaseTracker()
if args.command == "status":
tracker.show_progress()
elif args.command == "complete":
tracker.mark_complete(args.id)
else:
parser.print_help()
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Automated VPS Provisioning System (Von Neumann as Code)
Part of the Gemini Sovereign Infrastructure Suite.
This script automates the creation and configuration of a "Wizard" node
from zero to serving inference via llama.cpp.
Usage:
python3 provision_wizard.py --name fenrir --size s-2vcpu-4gb --model qwen2.5-coder-7b
"""
import os
import sys
import time
import argparse
import requests
import subprocess
import json
from typing import Optional, Dict, Any
# --- CONFIGURATION ---
DO_API_URL = "https://api.digitalocean.com/v2"
# We expect DIGITALOCEAN_TOKEN to be set in the environment.
DO_TOKEN = os.environ.get("DIGITALOCEAN_TOKEN")
# Default settings
DEFAULT_REGION = "nyc3"
DEFAULT_IMAGE = "ubuntu-22-04-x64"
LLAMA_CPP_REPO = "https://github.com/ggerganov/llama.cpp"
class Provisioner:
def __init__(self, name: str, size: str, model: str, region: str = DEFAULT_REGION):
self.name = name
self.size = size
self.model = model
self.region = region
self.droplet_id = None
self.ip_address = None
def log(self, message: str):
print(f"[*] {message}")
def error(self, message: str):
print(f"[!] ERROR: {message}")
sys.exit(1)
def check_auth(self):
if not DO_TOKEN:
self.error("DIGITALOCEAN_TOKEN environment variable not set.")
def create_droplet(self):
self.log(f"Creating droplet '{self.name}' ({self.size}) in {self.region}...")
# Get SSH keys to add to the droplet
ssh_keys = self.get_ssh_keys()
payload = {
"name": self.name,
"region": self.region,
"size": self.size,
"image": DEFAULT_IMAGE,
"ssh_keys": ssh_keys,
"backups": False,
"ipv6": True,
"monitoring": True,
"tags": ["wizard", "gemini-provisioned"]
}
headers = {
"Authorization": f"Bearer {DO_TOKEN}",
"Content-Type": "application/json"
}
response = requests.post(f"{DO_API_URL}/droplets", json=payload, headers=headers)
if response.status_code != 202:
self.error(f"Failed to create droplet: {response.text}")
data = response.json()
self.droplet_id = data["droplet"]["id"]
self.log(f"Droplet created (ID: {self.droplet_id}). Waiting for IP...")
def get_ssh_keys(self) -> list:
# Fetch existing SSH keys from DO account to ensure we can log in
headers = {"Authorization": f"Bearer {DO_TOKEN}"}
response = requests.get(f"{DO_API_URL}/account/keys", headers=headers)
if response.status_code != 200:
self.log("Warning: Could not fetch SSH keys. Droplet might be inaccessible via SSH.")
return []
return [key["id"] for key in response.json()["ssh_keys"]]
def wait_for_ip(self):
headers = {"Authorization": f"Bearer {DO_TOKEN}"}
while not self.ip_address:
response = requests.get(f"{DO_API_URL}/droplets/{self.droplet_id}", headers=headers)
data = response.json()
networks = data["droplet"]["networks"]["v4"]
for net in networks:
if net["type"] == "public":
self.ip_address = net["ip_address"]
break
if not self.ip_address:
time.sleep(5)
self.log(f"Droplet IP: {self.ip_address}")
def run_remote(self, command: str):
# Using subprocess to call ssh. Assumes local machine has the right private key.
ssh_cmd = [
"ssh", "-o", "StrictHostKeyChecking=no",
f"root@{self.ip_address}", command
]
result = subprocess.run(ssh_cmd, capture_output=True, text=True)
return result
def setup_wizard(self):
self.log("Starting remote setup...")
# Wait for SSH to be ready
retries = 12
while retries > 0:
res = self.run_remote("echo 'SSH Ready'")
if res.returncode == 0:
break
self.log(f"Waiting for SSH... ({retries} retries left)")
time.sleep(10)
retries -= 1
if retries == 0:
self.error("SSH timed out.")
# 1. Update and install dependencies
self.log("Installing dependencies...")
setup_script = """
export DEBIAN_FRONTEND=noninteractive
apt-get update && apt-get upgrade -y
apt-get install -y build-essential git cmake curl wget python3 python3-pip
"""
self.run_remote(setup_script)
# 2. Build llama.cpp
self.log("Building llama.cpp...")
build_script = f"""
if [ ! -d "/opt/llama.cpp" ]; then
git clone {LLAMA_CPP_REPO} /opt/llama.cpp
fi
cd /opt/llama.cpp
mkdir -p build && cd build
cmake ..
cmake --build . --config Release
"""
self.run_remote(build_script)
# 3. Download Model
self.log(f"Downloading model: {self.model}...")
model_url = self.get_model_url(self.model)
download_script = f"""
mkdir -p /opt/models
if [ ! -f "/opt/models/{self.model}.gguf" ]; then
wget -O /opt/models/{self.model}.gguf {model_url}
fi
"""
self.run_remote(download_script)
# 4. Create systemd service
self.log("Creating systemd service...")
service_content = f"""
[Unit]
Description=Llama.cpp Server for {self.name}
After=network.target
[Service]
Type=simple
User=root
WorkingDirectory=/opt/llama.cpp
ExecStart=/opt/llama.cpp/build/bin/llama-server -m /opt/models/{self.model}.gguf --host 0.0.0.0 --port 8080 -c 4096
Restart=always
RestartSec=10
[Install]
WantedBy=multi-user.target
"""
# Use cat to write the file to handle multi-line string safely
self.run_remote(f"cat <<EOF > /etc/systemd/system/llama-server.service\n{service_content}\nEOF")
self.run_remote("systemctl daemon-reload && systemctl enable llama-server && systemctl start llama-server")
def get_model_url(self, model_name: str) -> str:
# Mapping for common models to GGUF URLs (HuggingFace)
mapping = {
"qwen2.5-coder-7b": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-GGUF/resolve/main/qwen2.5-coder-7b-instruct-q4_k_m.gguf",
"hermes-3-llama-3.1-8b": "https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q4_K_M.gguf"
}
return mapping.get(model_name, mapping["hermes-3-llama-3.1-8b"])
def health_check(self):
self.log("Performing health check...")
time.sleep(15) # Wait for server to start
try:
url = f"http://{self.ip_address}:8080/health"
response = requests.get(url, timeout=10)
if response.status_code == 200:
self.log(f"[SUCCESS] Wizard {self.name} is healthy and serving inference.")
self.log(f"Endpoint: {url}")
else:
self.log(f"[WARNING] Health check returned status {response.status_code}")
except Exception as e:
self.log(f"[ERROR] Health check failed: {e}")
def provision(self):
self.check_auth()
self.create_droplet()
self.wait_for_ip()
self.setup_wizard()
self.health_check()
def main():
parser = argparse.ArgumentParser(description="Gemini Provisioner")
parser.add_argument("--name", required=True, help="Name of the wizard")
parser.add_argument("--size", default="s-2vcpu-4gb", help="DO droplet size")
parser.add_argument("--model", default="qwen2.5-coder-7b", help="Model to serve")
parser.add_argument("--region", default="nyc3", help="DO region")
args = parser.parse_args()
provisioner = Provisioner(args.name, args.size, args.model, args.region)
provisioner.provision()
if __name__ == "__main__":
main()

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scripts/self_healing.py Normal file
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#!/usr/bin/env python3
"""
[OPS] Self-Healing Infrastructure
Part of the Gemini Sovereign Infrastructure Suite.
Auto-detects and fixes common failures across the fleet.
"""
import os
import sys
import subprocess
import argparse
import requests
# --- CONFIGURATION ---
FLEET = {
"mac": {"ip": "10.1.10.77", "port": 8080},
"ezra": {"ip": "143.198.27.163", "port": 8080},
"allegro": {"ip": "167.99.126.228", "port": 8080},
"bezalel": {"ip": "159.203.146.185", "port": 8080}
}
class SelfHealer:
def log(self, message: str):
print(f"[*] {message}")
def run_remote(self, host: str, command: str):
ip = FLEET[host]["ip"]
ssh_cmd = ["ssh", "-o", "StrictHostKeyChecking=no", f"root@{ip}", command]
if host == "mac":
ssh_cmd = ["bash", "-c", command]
try:
return subprocess.run(ssh_cmd, capture_output=True, text=True, timeout=10)
except:
return None
def check_and_heal(self):
for host in FLEET:
self.log(f"Auditing {host}...")
# 1. Check llama-server
ip = FLEET[host]["ip"]
port = FLEET[host]["port"]
try:
requests.get(f"http://{ip}:{port}/health", timeout=2)
except:
self.log(f" [!] llama-server down on {host}. Attempting restart...")
self.run_remote(host, "systemctl restart llama-server")
# 2. Check disk space
res = self.run_remote(host, "df -h / | tail -1 | awk '{print $5}' | sed 's/%//'")
if res and res.returncode == 0:
try:
usage = int(res.stdout.strip())
if usage > 90:
self.log(f" [!] Disk usage high on {host} ({usage}%). Cleaning logs...")
self.run_remote(host, "journalctl --vacuum-time=1d && rm -rf /var/log/*.gz")
except:
pass
def run(self):
self.log("Starting self-healing cycle...")
self.check_and_heal()
self.log("Cycle complete.")
def main():
healer = SelfHealer()
healer.run()
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Sovereign Skill Installer
Part of the Gemini Sovereign Infrastructure Suite.
Packages and installs Hermes skills onto remote wizard nodes.
"""
import os
import sys
import argparse
import subprocess
from pathlib import Path
# --- CONFIGURATION ---
# Assumes hermes-agent is a sibling directory to timmy-config
HERMES_ROOT = "../hermes-agent"
SKILLS_DIR = "skills"
class SkillInstaller:
def __init__(self, host: str, ip: str):
self.host = host
self.ip = ip
self.hermes_path = Path(HERMES_ROOT).resolve()
def log(self, message: str):
print(f"[*] {message}")
def error(self, message: str):
print(f"[!] ERROR: {message}")
sys.exit(1)
def install_skill(self, skill_name: str):
self.log(f"Installing skill '{skill_name}' to {self.host} ({self.ip})...")
skill_path = self.hermes_path / SKILLS_DIR / skill_name
if not skill_path.exists():
self.error(f"Skill '{skill_name}' not found in {skill_path}")
# 1. Compress skill
self.log("Compressing skill...")
tar_file = f"{skill_name}.tar.gz"
subprocess.run(["tar", "-czf", tar_file, "-C", str(skill_path.parent), skill_name])
# 2. Upload to remote
self.log("Uploading to remote...")
remote_path = f"/opt/hermes/skills/{skill_name}"
subprocess.run(["ssh", f"root@{self.ip}", f"mkdir -p /opt/hermes/skills"])
subprocess.run(["scp", tar_file, f"root@{self.ip}:/tmp/"])
# 3. Extract and register
self.log("Extracting and registering...")
extract_cmd = f"tar -xzf /tmp/{tar_file} -C /opt/hermes/skills/ && rm /tmp/{tar_file}"
subprocess.run(["ssh", f"root@{self.ip}", extract_cmd])
# Registration logic (simplified)
# In a real scenario, we'd update the wizard's config.yaml
self.log(f"[SUCCESS] Skill '{skill_name}' installed on {self.host}")
# Cleanup local tar
os.remove(tar_file)
def main():
parser = argparse.ArgumentParser(description="Gemini Skill Installer")
parser.add_argument("host", help="Target host name")
parser.add_argument("ip", help="Target host IP")
parser.add_argument("skill", help="Skill name to install")
args = parser.parse_args()
installer = SkillInstaller(args.host, args.ip)
installer.install_skill(args.skill)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
[OPS] Telemetry Pipeline v2
Part of the Gemini Sovereign Infrastructure Suite.
Operational visibility without cloud dependencies.
"""
import os
import sys
import json
import time
import subprocess
import argparse
# --- CONFIGURATION ---
FLEET = {
"mac": "10.1.10.77",
"ezra": "143.198.27.163",
"allegro": "167.99.126.228",
"bezalel": "159.203.146.185"
}
TELEMETRY_FILE = "logs/telemetry.json"
class Telemetry:
def __init__(self):
# Find logs relative to repo root
script_dir = os.path.dirname(os.path.abspath(__file__))
repo_root = os.path.dirname(script_dir)
self.logs_dir = os.path.join(repo_root, "logs")
self.telemetry_path = os.path.join(repo_root, TELEMETRY_FILE)
if not os.path.exists(self.logs_dir):
os.makedirs(self.logs_dir)
def log(self, message: str):
print(f"[*] {message}")
def get_metrics(self, host: str):
ip = FLEET[host]
# Command to get disk usage, memory usage (%), and load avg
cmd = "df -h / | tail -1 | awk '{print $5}' && free -m | grep Mem | awk '{print $3/$2 * 100}' && uptime | awk '{print $10}'"
ssh_cmd = ["ssh", "-o", "StrictHostKeyChecking=no", f"root@{ip}", cmd]
if host == "mac":
# Mac specific commands
cmd = "df -h / | tail -1 | awk '{print $5}' && sysctl -n vm.page_pageable_internal_count && uptime | awk '{print $10}'"
ssh_cmd = ["bash", "-c", cmd]
try:
res = subprocess.run(ssh_cmd, capture_output=True, text=True, timeout=10)
if res.returncode == 0:
lines = res.stdout.strip().split("\n")
return {
"disk_usage": lines[0],
"mem_usage": f"{float(lines[1]):.1f}%" if len(lines) > 1 and lines[1].replace('.','',1).isdigit() else "unknown",
"load_avg": lines[2].rstrip(",") if len(lines) > 2 else "unknown"
}
except:
pass
return None
def collect(self):
self.log("Collecting telemetry from fleet...")
data = {
"timestamp": time.time(),
"metrics": {}
}
for host in FLEET:
self.log(f"Fetching metrics from {host}...")
metrics = self.get_metrics(host)
if metrics:
data["metrics"][host] = metrics
# Append to telemetry file
history = []
if os.path.exists(self.telemetry_path):
with open(self.telemetry_path, "r") as f:
try:
history = json.load(f)
except:
history = []
history.append(data)
# Keep only last 100 entries
history = history[-100:]
with open(self.telemetry_path, "w") as f:
json.dump(history, f, indent=2)
self.log(f"Telemetry saved to {self.telemetry_path}")
def show_summary(self):
if not os.path.exists(self.telemetry_path):
print("No telemetry data found.")
return
with open(self.telemetry_path, "r") as f:
try:
history = json.load(f)
except:
print("Error reading telemetry data.")
return
if not history:
print("No telemetry data found.")
return
latest = history[-1]
print(f"\n--- Fleet Telemetry Summary ({time.ctime(latest['timestamp'])}) ---")
print(f"{'HOST':<10} {'DISK':<10} {'MEM':<10} {'LOAD':<10}")
print("-" * 45)
for host, m in latest["metrics"].items():
print(f"{host:<10} {m['disk_usage']:<10} {m['mem_usage']:<10} {m['load_avg']:<10}")
def main():
parser = argparse.ArgumentParser(description="Gemini Telemetry")
parser.add_argument("command", choices=["collect", "summary"], help="Command to run")
args = parser.parse_args()
telemetry = Telemetry()
if args.command == "collect":
telemetry.collect()
elif args.command == "summary":
telemetry.show_summary()
if __name__ == "__main__":
main()

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{
"name": "Bezalel Builder Wizard",
"role": "Artificer",
"capabilities": [
"provisioning",
"gpu-orchestration",
"model-serving"
],
"instructions": "Take the provided keys and use them to get GPUs for big models (Gemma 4). Wire them into the harness."
}