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Author SHA1 Message Date
458dabfaed Merge pull request 'feat: MemPalace integration — skill port, retrieval enforcer, wake-up protocol (#367)' (#374) from timmy/mempalace-integration into main
Reviewed-on: #374
2026-04-07 21:45:34 +00:00
Alexander Whitestone
f8dabae8eb feat: MemPalace integration — skill port, retrieval enforcer, wake-up protocol (#367)
MP-1 (#368): Port PalaceRoom + Mempalace classes with 22 unit tests
MP-2 (#369): L0-L5 retrieval order enforcer with recall-query detection
MP-5 (#372): Wake-up protocol (300-900 token context), session scratchpad

Modules:
- mempalace.py: PalaceRoom + Mempalace dataclasses, factory constructors
- retrieval_enforcer.py: Layered memory retrieval (identity → palace → scratch → gitea → skills)
- wakeup.py: Session wake-up with caching (5min TTL)
- scratchpad.py: JSON-based session notes with palace promotion

All 65 tests pass. Pure stdlib + graceful degradation for ONNX issues (#373).
2026-04-07 13:15:07 -04:00
0c950f991c Merge pull request '[ORCHESTRATOR-4] Evaluate CrewAI for Phase 2 integration' (#361) from ezra/issue-358 into main 2026-04-07 16:35:40 +00:00
ezra
fe7c5018e3 eval(crewai): PoC crew + evaluation for Phase 2 integration
- Install CrewAI v1.13.0 in evaluations/crewai/
- Build 2-agent proof-of-concept (Researcher + Evaluator)
- Test operational execution against issue #358
- Document findings: REJECT for Phase 2 integration

CrewAI's 500+ MB dependency footprint, memory-model drift
from Gitea-as-truth, and external API fragility outweigh
its agent-role syntax benefits. Recommend evolving the
existing Huey stack instead.

Closes #358
2026-04-07 16:25:21 +00:00
c1c3aaa681 Merge pull request 'feat: genchi-genbutsu — verify world state, not log vibes (#348)' (#360) from ezra/issue-348 into main 2026-04-07 16:23:35 +00:00
d023512858 Merge pull request 'feat: FLEET-003 - Fleet capacity inventory with resource baselines' (#353) from timmy/fleet-capacity-inventory into main 2026-04-07 16:23:22 +00:00
e5e01e36c9 Merge pull request '[KAIZEN] Automated retrospective after every burn cycle (fixes #349)' (#352) from ezra/issue-349 into main 2026-04-07 16:23:17 +00:00
ezra
e5055d269b feat: genchi-genbutsu — verify world state, not log vibes (#348)
Implement 現地現物 (Genchi Genbutsu) post-completion verification:

- Add bin/genchi-genbutsu.sh performing 5 world-state checks:
  1. Branch exists on remote
  2. PR exists
  3. PR has real file changes (> 0)
  4. PR is mergeable
  5. Issue has a completion comment from the agent

- Wire verification into all agent loops:
  - bin/claude-loop.sh: call genchi-genbutsu before merge/close
  - bin/gemini-loop.sh: delegate existing inline checks to genchi-genbutsu
  - bin/agent-loop.sh: resurrect generic agent loop with genchi-genbutsu wired in

- Update metrics JSONL to include 'verified' field for all loops

- Update burn monitor (tasks.py velocity_tracking):
  - Report verified_completion count alongside raw completions
  - Dashboard shows verified trend history

- Update morning report (tasks.py good_morning_report):
  - Count only verified completions from the last 24h
  - Surface verification failures in the report body

Fixes #348
Refs #345
2026-04-07 16:12:05 +00:00
Alexander Whitestone
277d21aef6 feat: FLEET-007 — Auto-restart agent (self-healing processes)
Daemon that monitors key services and restarts them automatically:
- Local: hermes-gateway, ollama, codeclaw-heartbeat
- Ezra: gitea, nginx, hermes-agent
- Allegro hermes-agent
- Bezalel: hermes-agent, evennia
- Max 3 restart attempts per service per cycle (prevents loops)
- 1-hour cooldown after max retries with Telegram escalation
- Restart log at ~/.local/timmy/fleet-health/restarts.log
- Modes: check now (--status for history, --daemon for continuous)

Fixes timmy-home#560
2026-04-07 12:04:33 -04:00
Ezra
2e64b160b5 [KAIZEN] Harden retro scheduling, chunking, and tests (#349)
- Add Kaizen Retro to cron/jobs.json with explicit local model/provider
- Add Telegram message chunking for reports approaching the 4096-char limit
- Fix classify_issue_type false positives on short substrings (ci in cleanup)
- Add 28 unit tests covering classification, max-attempts detection,
  suggestion generation, report formatting, and Telegram chunking
2026-04-07 15:58:58 +00:00
Ezra
f18955ea90 [KAIZEN] Implement automated burn-cycle retrospective (fixes #349)
- Add bin/kaizen-retro.sh entry point and scripts/kaizen_retro.py
- Analyze closed issues, merged PRs, and stale/max-attempts issues
- Report success rates by agent, repo, and issue type
- Generate one concrete improvement suggestion per cycle
- Post retro to Telegram and comment on the latest morning report issue
- Wire into Huey as kaizen_retro() task at 07:15 daily
- Extend gitea_client.py with since param for list_issues and
  created_at/updated_at fields on PullRequest
2026-04-07 15:57:21 +00:00
26 changed files with 3486 additions and 84 deletions

11
.gitignore vendored
View File

@@ -1,9 +1,8 @@
# Secrets
*.token
*.key
*.secret
# Local state
*.pyc
*.pyo
*.egg-info/
dist/
build/
*.db
*.db-wal
*.db-shm

273
bin/agent-loop.sh Executable file
View File

@@ -0,0 +1,273 @@
#!/usr/bin/env bash
# agent-loop.sh — Universal agent dev loop with Genchi Genbutsu verification
#
# Usage: agent-loop.sh <agent-name> [num-workers]
# agent-loop.sh claude 2
# agent-loop.sh gemini 1
#
# Dispatches via agent-dispatch.sh, then verifies with genchi-genbutsu.sh.
set -uo pipefail
AGENT="${1:?Usage: agent-loop.sh <agent-name> [num-workers]}"
NUM_WORKERS="${2:-1}"
# Resolve agent tool and model from config or fallback
case "$AGENT" in
claude) TOOL="claude"; MODEL="sonnet" ;;
gemini) TOOL="gemini"; MODEL="gemini-2.5-pro-preview-05-06" ;;
grok) TOOL="opencode"; MODEL="grok-3-fast" ;;
*) TOOL="$AGENT"; MODEL="" ;;
esac
# === CONFIG ===
GITEA_URL="${GITEA_URL:-https://forge.alexanderwhitestone.com}"
GITEA_TOKEN="${GITEA_TOKEN:-}"
WORKTREE_BASE="$HOME/worktrees"
LOG_DIR="$HOME/.hermes/logs"
LOCK_DIR="$LOG_DIR/${AGENT}-locks"
SKIP_FILE="$LOG_DIR/${AGENT}-skip-list.json"
ACTIVE_FILE="$LOG_DIR/${AGENT}-active.json"
TIMEOUT=600
COOLDOWN=30
mkdir -p "$LOG_DIR" "$WORKTREE_BASE" "$LOCK_DIR"
[ -f "$SKIP_FILE" ] || echo '{}' > "$SKIP_FILE"
echo '{}' > "$ACTIVE_FILE"
# === SHARED FUNCTIONS ===
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] ${AGENT}: $*" >> "$LOG_DIR/${AGENT}-loop.log"
}
lock_issue() {
local key="$1"
mkdir "$LOCK_DIR/$key.lock" 2>/dev/null && echo $$ > "$LOCK_DIR/$key.lock/pid"
}
unlock_issue() {
rm -rf "$LOCK_DIR/$1.lock" 2>/dev/null
}
mark_skip() {
local issue_num="$1" reason="$2"
python3 -c "
import json, time, fcntl
with open('${SKIP_FILE}', 'r+') as f:
fcntl.flock(f, fcntl.LOCK_EX)
try: skips = json.load(f)
except: skips = {}
failures = skips.get(str($issue_num), {}).get('failures', 0) + 1
skip_hours = 6 if failures >= 3 else 1
skips[str($issue_num)] = {'until': time.time() + (skip_hours * 3600), 'reason': '$reason', 'failures': failures}
f.seek(0); f.truncate()
json.dump(skips, f, indent=2)
" 2>/dev/null
}
get_next_issue() {
python3 -c "
import json, sys, time, urllib.request, os
token = '${GITEA_TOKEN}'
base = '${GITEA_URL}'
repos = ['Timmy_Foundation/the-nexus', 'Timmy_Foundation/timmy-config', 'Timmy_Foundation/hermes-agent']
try:
with open('${SKIP_FILE}') as f: skips = json.load(f)
except: skips = {}
try:
with open('${ACTIVE_FILE}') as f: active = json.load(f); active_issues = {v['issue'] for v in active.values()}
except: active_issues = set()
all_issues = []
for repo in repos:
url = f'{base}/api/v1/repos/{repo}/issues?state=open&type=issues&limit=50&sort=created'
req = urllib.request.Request(url, headers={'Authorization': f'token {token}'})
try:
resp = urllib.request.urlopen(req, timeout=10)
issues = json.loads(resp.read())
for i in issues: i['_repo'] = repo
all_issues.extend(issues)
except: continue
for i in sorted(all_issues, key=lambda x: x['title'].lower()):
assignees = [a['login'] for a in (i.get('assignees') or [])]
if assignees and '${AGENT}' not in assignees: continue
num_str = str(i['number'])
if num_str in active_issues: continue
if skips.get(num_str, {}).get('until', 0) > time.time(): continue
lock = '${LOCK_DIR}/' + i['_repo'].replace('/', '-') + '-' + num_str + '.lock'
if os.path.isdir(lock): continue
owner, name = i['_repo'].split('/')
print(json.dumps({'number': i['number'], 'title': i['title'], 'repo_owner': owner, 'repo_name': name, 'repo': i['_repo']}))
sys.exit(0)
print('null')
" 2>/dev/null
}
# === WORKER FUNCTION ===
run_worker() {
local worker_id="$1"
log "WORKER-${worker_id}: Started"
while true; do
issue_json=$(get_next_issue)
if [ "$issue_json" = "null" ] || [ -z "$issue_json" ]; then
sleep 30
continue
fi
issue_num=$(echo "$issue_json" | python3 -c "import sys,json; print(json.load(sys.stdin)['number'])")
issue_title=$(echo "$issue_json" | python3 -c "import sys,json; print(json.load(sys.stdin)['title'])")
repo_owner=$(echo "$issue_json" | python3 -c "import sys,json; print(json.load(sys.stdin)['repo_owner'])")
repo_name=$(echo "$issue_json" | python3 -c "import sys,json; print(json.load(sys.stdin)['repo_name'])")
issue_key="${repo_owner}-${repo_name}-${issue_num}"
branch="${AGENT}/issue-${issue_num}"
worktree="${WORKTREE_BASE}/${AGENT}-w${worker_id}-${issue_num}"
if ! lock_issue "$issue_key"; then
sleep 5
continue
fi
log "WORKER-${worker_id}: === ISSUE #${issue_num}: ${issue_title} (${repo_owner}/${repo_name}) ==="
# Clone / checkout
rm -rf "$worktree" 2>/dev/null
CLONE_URL="http://${AGENT}:${GITEA_TOKEN}@143.198.27.163:3000/${repo_owner}/${repo_name}.git"
if git ls-remote --heads "$CLONE_URL" "$branch" 2>/dev/null | grep -q "$branch"; then
git clone --depth=50 -b "$branch" "$CLONE_URL" "$worktree" >/dev/null 2>&1
else
git clone --depth=1 -b main "$CLONE_URL" "$worktree" >/dev/null 2>&1
cd "$worktree" && git checkout -b "$branch" >/dev/null 2>&1
fi
cd "$worktree"
# Generate prompt
prompt=$(bash "$(dirname "$0")/agent-dispatch.sh" "$AGENT" "$issue_num" "${repo_owner}/${repo_name}")
CYCLE_START=$(date +%s)
set +e
if [ "$TOOL" = "claude" ]; then
env -u CLAUDECODE gtimeout "$TIMEOUT" claude \
--print --model "$MODEL" --dangerously-skip-permissions \
-p "$prompt" </dev/null >> "$LOG_DIR/${AGENT}-${issue_num}.log" 2>&1
elif [ "$TOOL" = "gemini" ]; then
gtimeout "$TIMEOUT" gemini -p "$prompt" --yolo \
</dev/null >> "$LOG_DIR/${AGENT}-${issue_num}.log" 2>&1
else
gtimeout "$TIMEOUT" "$TOOL" "$prompt" \
</dev/null >> "$LOG_DIR/${AGENT}-${issue_num}.log" 2>&1
fi
exit_code=$?
set -e
CYCLE_END=$(date +%s)
CYCLE_DURATION=$((CYCLE_END - CYCLE_START))
# Salvage
cd "$worktree" 2>/dev/null || true
DIRTY=$(git status --porcelain 2>/dev/null | wc -l | tr -d ' ')
if [ "${DIRTY:-0}" -gt 0 ]; then
git add -A 2>/dev/null
git commit -m "WIP: ${AGENT} progress on #${issue_num}
Automated salvage commit — agent session ended (exit $exit_code)." 2>/dev/null || true
fi
UNPUSHED=$(git log --oneline "origin/main..HEAD" 2>/dev/null | wc -l | tr -d ' ')
if [ "${UNPUSHED:-0}" -gt 0 ]; then
git push -u origin "$branch" 2>/dev/null && \
log "WORKER-${worker_id}: Pushed $UNPUSHED commit(s) on $branch" || \
log "WORKER-${worker_id}: Push failed for $branch"
fi
# Create PR if needed
pr_num=$(curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls?state=open&head=${repo_owner}:${branch}&limit=1" \
-H "Authorization: token ${GITEA_TOKEN}" | python3 -c "
import sys,json
prs = json.load(sys.stdin)
print(prs[0]['number'] if prs else '')
" 2>/dev/null)
if [ -z "$pr_num" ] && [ "${UNPUSHED:-0}" -gt 0 ]; then
pr_num=$(curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d "$(python3 -c "
import json
print(json.dumps({
'title': '${AGENT}: Issue #${issue_num}',
'head': '${branch}',
'base': 'main',
'body': 'Automated PR for issue #${issue_num}.\nExit code: ${exit_code}'
}))
")" | python3 -c "import sys,json; print(json.load(sys.stdin).get('number',''))" 2>/dev/null)
[ -n "$pr_num" ] && log "WORKER-${worker_id}: Created PR #${pr_num} for issue #${issue_num}"
fi
# ── Genchi Genbutsu: verify world state before declaring success ──
VERIFIED="false"
if [ "$exit_code" -eq 0 ]; then
log "WORKER-${worker_id}: SUCCESS #${issue_num} — running genchi-genbutsu"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if verify_result=$("$SCRIPT_DIR/genchi-genbutsu.sh" "$repo_owner" "$repo_name" "$issue_num" "$branch" "$AGENT" 2>/dev/null); then
VERIFIED="true"
log "WORKER-${worker_id}: VERIFIED #${issue_num}"
if [ -n "$pr_num" ]; then
curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/merge" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"Do": "squash"}' >/dev/null 2>&1 || true
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"state": "closed"}' >/dev/null 2>&1 || true
log "WORKER-${worker_id}: PR #${pr_num} merged, issue #${issue_num} closed"
fi
consecutive_failures=0
else
verify_details=$(echo "$verify_result" | python3 -c "import sys,json; print(json.load(sys.stdin).get('details','unknown'))" 2>/dev/null || echo "unverified")
log "WORKER-${worker_id}: UNVERIFIED #${issue_num}$verify_details"
mark_skip "$issue_num" "unverified" 1
consecutive_failures=$((consecutive_failures + 1))
fi
elif [ "$exit_code" -eq 124 ]; then
log "WORKER-${worker_id}: TIMEOUT #${issue_num} (work saved in PR)"
consecutive_failures=$((consecutive_failures + 1))
else
log "WORKER-${worker_id}: FAILED #${issue_num} exit ${exit_code} (work saved in PR)"
consecutive_failures=$((consecutive_failures + 1))
fi
# ── METRICS ──
python3 -c "
import json, datetime
print(json.dumps({
'ts': datetime.datetime.utcnow().isoformat() + 'Z',
'agent': '${AGENT}',
'worker': $worker_id,
'issue': $issue_num,
'repo': '${repo_owner}/${repo_name}',
'outcome': 'success' if $exit_code == 0 else 'timeout' if $exit_code == 124 else 'failed',
'exit_code': $exit_code,
'duration_s': $CYCLE_DURATION,
'pr': '${pr_num:-}',
'verified': ${VERIFIED:-false}
}))
" >> "$LOG_DIR/${AGENT}-metrics.jsonl" 2>/dev/null
rm -rf "$worktree" 2>/dev/null
unlock_issue "$issue_key"
sleep "$COOLDOWN"
done
}
# === MAIN ===
log "=== Agent Loop Started — ${AGENT} with ${NUM_WORKERS} worker(s) ==="
rm -rf "$LOCK_DIR"/*.lock 2>/dev/null
for i in $(seq 1 "$NUM_WORKERS"); do
run_worker "$i" &
log "Launched worker $i (PID $!)"
sleep 3
done
wait

View File

@@ -468,24 +468,32 @@ print(json.dumps({
[ -n "$pr_num" ] && log "WORKER-${worker_id}: Created PR #${pr_num} for issue #${issue_num}"
fi
# ── Merge + close on success ──
# ── Genchi Genbutsu: verify world state before declaring success ──
VERIFIED="false"
if [ "$exit_code" -eq 0 ]; then
log "WORKER-${worker_id}: SUCCESS #${issue_num}"
if [ -n "$pr_num" ]; then
curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/merge" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"Do": "squash"}' >/dev/null 2>&1 || true
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"state": "closed"}' >/dev/null 2>&1 || true
log "WORKER-${worker_id}: PR #${pr_num} merged, issue #${issue_num} closed"
log "WORKER-${worker_id}: SUCCESS #${issue_num} — running genchi-genbutsu"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if verify_result=$("$SCRIPT_DIR/genchi-genbutsu.sh" "$repo_owner" "$repo_name" "$issue_num" "$branch" "claude" 2>/dev/null); then
VERIFIED="true"
log "WORKER-${worker_id}: VERIFIED #${issue_num}"
if [ -n "$pr_num" ]; then
curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/merge" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"Do": "squash"}' >/dev/null 2>&1 || true
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"state": "closed"}' >/dev/null 2>&1 || true
log "WORKER-${worker_id}: PR #${pr_num} merged, issue #${issue_num} closed"
fi
consecutive_failures=0
else
verify_details=$(echo "$verify_result" | python3 -c "import sys,json; print(json.load(sys.stdin).get('details','unknown'))" 2>/dev/null || echo "unverified")
log "WORKER-${worker_id}: UNVERIFIED #${issue_num}$verify_details"
consecutive_failures=$((consecutive_failures + 1))
fi
consecutive_failures=0
elif [ "$exit_code" -eq 124 ]; then
log "WORKER-${worker_id}: TIMEOUT #${issue_num} (work saved in PR)"
consecutive_failures=$((consecutive_failures + 1))
@@ -522,6 +530,7 @@ print(json.dumps({
import json, datetime
print(json.dumps({
'ts': datetime.datetime.utcnow().isoformat() + 'Z',
'agent': 'claude',
'worker': $worker_id,
'issue': $issue_num,
'repo': '${repo_owner}/${repo_name}',
@@ -534,7 +543,8 @@ print(json.dumps({
'lines_removed': ${LINES_REMOVED:-0},
'salvaged': ${DIRTY:-0},
'pr': '${pr_num:-}',
'merged': $( [ '$OUTCOME' = 'success' ] && [ -n '${pr_num:-}' ] && echo 'true' || echo 'false' )
'merged': $( [ '$OUTCOME' = 'success' ] && [ -n '${pr_num:-}' ] && echo 'true' || echo 'false' ),
'verified': ${VERIFIED:-false}
}))
" >> "$METRICS_FILE" 2>/dev/null

View File

@@ -521,61 +521,63 @@ print(json.dumps({
[ -n "$pr_num" ] && log "WORKER-${worker_id}: Created PR #${pr_num} for issue #${issue_num}"
fi
# ── Verify finish semantics / classify failures ──
# ── Genchi Genbutsu: verify world state before declaring success ──
VERIFIED="false"
if [ "$exit_code" -eq 0 ]; then
log "WORKER-${worker_id}: SUCCESS #${issue_num} exited 0 — verifying push + PR + proof"
if ! remote_branch_exists "$branch"; then
log "WORKER-${worker_id}: BLOCKED #${issue_num} remote branch missing"
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: remote branch ${branch} was not found on origin after Gemini exited. Issue remains open for retry."
mark_skip "$issue_num" "missing_remote_branch" 1
consecutive_failures=$((consecutive_failures + 1))
elif [ -z "$pr_num" ]; then
log "WORKER-${worker_id}: BLOCKED #${issue_num} no PR found"
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: branch ${branch} exists remotely, but no PR was found. Issue remains open for retry."
mark_skip "$issue_num" "missing_pr" 1
consecutive_failures=$((consecutive_failures + 1))
log "WORKER-${worker_id}: SUCCESS #${issue_num} exited 0 — running genchi-genbutsu"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if verify_result=$("$SCRIPT_DIR/genchi-genbutsu.sh" "$repo_owner" "$repo_name" "$issue_num" "$branch" "gemini" 2>/dev/null); then
VERIFIED="true"
log "WORKER-${worker_id}: VERIFIED #${issue_num}"
pr_state=$(get_pr_state "$repo_owner" "$repo_name" "$pr_num")
if [ "$pr_state" = "open" ]; then
curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/merge" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"Do": "squash"}' >/dev/null 2>&1 || true
pr_state=$(get_pr_state "$repo_owner" "$repo_name" "$pr_num")
fi
if [ "$pr_state" = "merged" ]; then
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"state": "closed"}' >/dev/null 2>&1 || true
issue_state=$(get_issue_state "$repo_owner" "$repo_name" "$issue_num")
if [ "$issue_state" = "closed" ]; then
log "WORKER-${worker_id}: VERIFIED #${issue_num} branch pushed, PR merged, comment present, issue closed"
consecutive_failures=0
else
log "WORKER-${worker_id}: BLOCKED #${issue_num} issue did not close after merge"
mark_skip "$issue_num" "issue_close_unverified" 1
consecutive_failures=$((consecutive_failures + 1))
fi
else
log "WORKER-${worker_id}: BLOCKED #${issue_num} merge not verified (state=${pr_state})"
mark_skip "$issue_num" "merge_unverified" 1
consecutive_failures=$((consecutive_failures + 1))
fi
else
pr_files=$(get_pr_file_count "$repo_owner" "$repo_name" "$pr_num")
if [ "${pr_files:-0}" -eq 0 ]; then
log "WORKER-${worker_id}: BLOCKED #${issue_num} PR #${pr_num} has 0 changed files"
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}" -H "Authorization: token ${GITEA_TOKEN}" -H "Content-Type: application/json" -d '{"state": "closed"}' >/dev/null 2>&1 || true
verify_details=$(echo "$verify_result" | python3 -c "import sys,json; print(json.load(sys.stdin).get('details','unknown'))" 2>/dev/null || echo "unverified")
verify_checks=$(echo "$verify_result" | python3 -c "import sys,json; print(json.load(sys.stdin).get('checks',''))" 2>/dev/null || echo "")
log "WORKER-${worker_id}: UNVERIFIED #${issue_num} $verify_details"
if echo "$verify_checks" | grep -q '"branch": false'; then
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: remote branch ${branch} was not found on origin after Gemini exited. Issue remains open for retry."
mark_skip "$issue_num" "missing_remote_branch" 1
elif echo "$verify_checks" | grep -q '"pr": false'; then
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: branch ${branch} exists remotely, but no PR was found. Issue remains open for retry."
mark_skip "$issue_num" "missing_pr" 1
elif echo "$verify_checks" | grep -q '"files": false'; then
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"state": "closed"}' >/dev/null 2>&1 || true
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "PR #${pr_num} was closed automatically: it had 0 changed files (empty commit). Issue remains open for retry."
mark_skip "$issue_num" "empty_commit" 2
consecutive_failures=$((consecutive_failures + 1))
else
proof_status=$(proof_comment_status "$repo_owner" "$repo_name" "$issue_num" "$branch")
proof_state="${proof_status%%|*}"
proof_url="${proof_status#*|}"
if [ "$proof_state" != "ok" ]; then
log "WORKER-${worker_id}: BLOCKED #${issue_num} proof missing or incomplete (${proof_state})"
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: PR #${pr_num} exists and has ${pr_files} changed file(s), but the required Proof block from Gemini is missing or incomplete. Issue remains open for retry."
mark_skip "$issue_num" "missing_proof" 1
consecutive_failures=$((consecutive_failures + 1))
else
log "WORKER-${worker_id}: PROOF verified ${proof_url}"
pr_state=$(get_pr_state "$repo_owner" "$repo_name" "$pr_num")
if [ "$pr_state" = "open" ]; then
curl -sf -X POST "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/merge" -H "Authorization: token ${GITEA_TOKEN}" -H "Content-Type: application/json" -d '{"Do": "squash"}' >/dev/null 2>&1 || true
pr_state=$(get_pr_state "$repo_owner" "$repo_name" "$pr_num")
fi
if [ "$pr_state" = "merged" ]; then
curl -sf -X PATCH "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}" -H "Authorization: token ${GITEA_TOKEN}" -H "Content-Type: application/json" -d '{"state": "closed"}' >/dev/null 2>&1 || true
issue_state=$(get_issue_state "$repo_owner" "$repo_name" "$issue_num")
if [ "$issue_state" = "closed" ]; then
log "WORKER-${worker_id}: VERIFIED #${issue_num} branch pushed, PR merged, proof present, issue closed"
consecutive_failures=0
else
log "WORKER-${worker_id}: BLOCKED #${issue_num} issue did not close after merge"
mark_skip "$issue_num" "issue_close_unverified" 1
consecutive_failures=$((consecutive_failures + 1))
fi
else
log "WORKER-${worker_id}: BLOCKED #${issue_num} merge not verified (state=${pr_state})"
mark_skip "$issue_num" "merge_unverified" 1
consecutive_failures=$((consecutive_failures + 1))
fi
fi
post_issue_comment "$repo_owner" "$repo_name" "$issue_num" "Loop gate blocked completion: PR #${pr_num} exists, but required verification failed ($verify_details). Issue remains open for retry."
mark_skip "$issue_num" "unverified" 1
fi
consecutive_failures=$((consecutive_failures + 1))
fi
elif [ "$exit_code" -eq 124 ]; then
log "WORKER-${worker_id}: TIMEOUT #${issue_num} (work saved in PR)"
@@ -621,7 +623,8 @@ print(json.dumps({
'lines_removed': ${LINES_REMOVED:-0},
'salvaged': ${DIRTY:-0},
'pr': '${pr_num:-}',
'merged': $( [ '$OUTCOME' = 'success' ] && [ -n '${pr_num:-}' ] && echo 'true' || echo 'false' )
'merged': $( [ '$OUTCOME' = 'success' ] && [ -n '${pr_num:-}' ] && echo 'true' || echo 'false' ),
'verified': ${VERIFIED:-false}
}))
" >> "$LOG_DIR/gemini-metrics.jsonl" 2>/dev/null

179
bin/genchi-genbutsu.sh Executable file
View File

@@ -0,0 +1,179 @@
#!/usr/bin/env bash
# genchi-genbutsu.sh — 現地現物 — Go and see. Verify world state, not log vibes.
#
# Post-completion verification that goes and LOOKS at the actual artifacts.
# Performs 5 world-state checks:
# 1. Branch exists on remote
# 2. PR exists
# 3. PR has real file changes (> 0)
# 4. PR is mergeable
# 5. Issue has a completion comment from the agent
#
# Usage: genchi-genbutsu.sh <repo_owner> <repo_name> <issue_num> <branch> <agent_name>
# Returns: JSON to stdout, logs JSONL, exit 0 = VERIFIED, exit 1 = UNVERIFIED
set -euo pipefail
GITEA_URL="${GITEA_URL:-https://forge.alexanderwhitestone.com}"
GITEA_TOKEN="${GITEA_TOKEN:-}"
LOG_DIR="${LOG_DIR:-$HOME/.hermes/logs}"
VERIFY_LOG="$LOG_DIR/genchi-genbutsu.jsonl"
if [ $# -lt 5 ]; then
echo "Usage: $0 <repo_owner> <repo_name> <issue_num> <branch> <agent_name>" >&2
exit 2
fi
repo_owner="$1"
repo_name="$2"
issue_num="$3"
branch="$4"
agent_name="$5"
mkdir -p "$LOG_DIR"
# ── Helpers ──────────────────────────────────────────────────────────
check_branch_exists() {
# Use Gitea API instead of git ls-remote so we don't need clone credentials
curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/branches/${branch}" \
-H "Authorization: token ${GITEA_TOKEN}" >/dev/null 2>&1
}
get_pr_num() {
curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls?state=all&head=${repo_owner}:${branch}&limit=1" \
-H "Authorization: token ${GITEA_TOKEN}" 2>/dev/null | python3 -c "
import sys, json
prs = json.load(sys.stdin)
print(prs[0]['number'] if prs else '')
"
}
check_pr_files() {
local pr_num="$1"
curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}/files" \
-H "Authorization: token ${GITEA_TOKEN}" 2>/dev/null | python3 -c "
import sys, json
try:
files = json.load(sys.stdin)
print(len(files) if isinstance(files, list) else 0)
except:
print(0)
"
}
check_pr_mergeable() {
local pr_num="$1"
curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/pulls/${pr_num}" \
-H "Authorization: token ${GITEA_TOKEN}" 2>/dev/null | python3 -c "
import sys, json
pr = json.load(sys.stdin)
print('true' if pr.get('mergeable') else 'false')
"
}
check_completion_comment() {
curl -sf "${GITEA_URL}/api/v1/repos/${repo_owner}/${repo_name}/issues/${issue_num}/comments" \
-H "Authorization: token ${GITEA_TOKEN}" 2>/dev/null | AGENT="$agent_name" python3 -c "
import os, sys, json
agent = os.environ.get('AGENT', '').lower()
try:
comments = json.load(sys.stdin)
except:
sys.exit(1)
for c in reversed(comments):
user = ((c.get('user') or {}).get('login') or '').lower()
if user == agent:
sys.exit(0)
sys.exit(1)
"
}
# ── Run checks ───────────────────────────────────────────────────────
ts=$(date -u '+%Y-%m-%dT%H:%M:%SZ')
status="VERIFIED"
details=()
checks_json='{}'
# Check 1: branch
if check_branch_exists; then
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['branch']=True;print(json.dumps(d))")
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['branch']=False;print(json.dumps(d))")
status="UNVERIFIED"
details+=("remote branch ${branch} not found")
fi
# Check 2: PR exists
pr_num=$(get_pr_num)
if [ -n "$pr_num" ]; then
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['pr']=True;print(json.dumps(d))")
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['pr']=False;print(json.dumps(d))")
status="UNVERIFIED"
details+=("no PR found for branch ${branch}")
fi
# Check 3: PR has real file changes
if [ -n "$pr_num" ]; then
file_count=$(check_pr_files "$pr_num")
if [ "${file_count:-0}" -gt 0 ]; then
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['files']=True;print(json.dumps(d))")
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['files']=False;print(json.dumps(d))")
status="UNVERIFIED"
details+=("PR #${pr_num} has 0 changed files")
fi
# Check 4: PR is mergeable
if [ "$(check_pr_mergeable "$pr_num")" = "true" ]; then
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['mergeable']=True;print(json.dumps(d))")
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['mergeable']=False;print(json.dumps(d))")
status="UNVERIFIED"
details+=("PR #${pr_num} is not mergeable")
fi
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['files']=None;d['mergeable']=None;print(json.dumps(d))")
fi
# Check 5: completion comment from agent
if check_completion_comment; then
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['comment']=True;print(json.dumps(d))")
else
checks_json=$(echo "$checks_json" | python3 -c "import sys,json;d=json.load(sys.stdin);d['comment']=False;print(json.dumps(d))")
status="UNVERIFIED"
details+=("no completion comment from ${agent_name} on issue #${issue_num}")
fi
# Build detail string
detail_str=$(IFS="; "; echo "${details[*]:-all checks passed}")
# ── Output ───────────────────────────────────────────────────────────
result=$(python3 -c "
import json
print(json.dumps({
'status': '$status',
'repo': '${repo_owner}/${repo_name}',
'issue': $issue_num,
'branch': '$branch',
'agent': '$agent_name',
'pr': '$pr_num',
'checks': $checks_json,
'details': '$detail_str',
'ts': '$ts'
}, indent=2))
")
printf '%s\n' "$result"
# Append to JSONL log
printf '%s\n' "$result" >> "$VERIFY_LOG"
if [ "$status" = "VERIFIED" ]; then
exit 0
else
exit 1
fi

45
bin/kaizen-retro.sh Executable file
View File

@@ -0,0 +1,45 @@
#!/usr/bin/env bash
# kaizen-retro.sh — Automated retrospective after every burn cycle.
#
# Runs daily after the morning report.
# Analyzes success rates by agent, repo, and issue type.
# Identifies max-attempts issues, generates ONE concrete improvement,
# and posts the retro to Telegram + the master morning-report issue.
#
# Usage:
# ./bin/kaizen-retro.sh [--dry-run]
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="${SCRIPT_DIR%/bin}"
PYTHON="${PYTHON3:-python3}"
# Source local env if available so TELEGRAM_BOT_TOKEN is picked up
HOME_DIR="${HOME:-$(eval echo ~$(whoami))}"
for env_file in "$HOME_DIR/.hermes/.env" "$HOME_DIR/.timmy/.env" "$REPO_ROOT/.env"; do
if [ -f "$env_file" ]; then
# shellcheck source=/dev/null
set -a
# shellcheck source=/dev/null
source "$env_file"
set +a
fi
done
# If the configured Gitea URL is unreachable but localhost works, prefer localhost
if ! curl -sf "${GITEA_URL:-http://localhost:3000}/api/v1/version" >/dev/null 2>&1; then
if curl -sf http://localhost:3000/api/v1/version >/dev/null 2>&1; then
export GITEA_URL="http://localhost:3000"
fi
fi
# Ensure the Python script exists
RETRO_PY="$REPO_ROOT/scripts/kaizen_retro.py"
if [ ! -f "$RETRO_PY" ]; then
echo "ERROR: kaizen_retro.py not found at $RETRO_PY" >&2
exit 1
fi
# Run
exec "$PYTHON" "$RETRO_PY" "$@"

View File

@@ -137,7 +137,38 @@
"paused_reason": null,
"skills": [],
"skill": null
},
{
"id": "kaizen-retro-349",
"name": "Kaizen Retro",
"prompt": "Run the automated burn-cycle retrospective. Execute: cd /root/wizards/ezra/workspace/timmy-config && ./bin/kaizen-retro.sh",
"model": "hermes3:latest",
"provider": "ollama",
"base_url": "http://localhost:11434/v1",
"schedule": {
"kind": "interval",
"minutes": 1440,
"display": "every 1440m"
},
"schedule_display": "daily at 07:30",
"repeat": {
"times": null,
"completed": 0
},
"enabled": true,
"created_at": "2026-04-07T15:30:00.000000Z",
"next_run_at": "2026-04-08T07:30:00.000000Z",
"last_run_at": null,
"last_status": null,
"last_error": null,
"deliver": "local",
"origin": null,
"state": "scheduled",
"paused_at": null,
"paused_reason": null,
"skills": [],
"skill": null
}
],
"updated_at": "2026-04-07T15:00:00+00:00"
}
}

4
evaluations/crewai/.gitignore vendored Normal file
View File

@@ -0,0 +1,4 @@
venv/
__pycache__/
*.pyc
.env

View File

@@ -0,0 +1,140 @@
# CrewAI Evaluation for Phase 2 Integration
**Date:** 2026-04-07
**Issue:** [#358 ORCHESTRATOR-4] Evaluate CrewAI for Phase 2 integration
**Author:** Ezra
**House:** hermes-ezra
## Summary
CrewAI was installed, a 2-agent proof-of-concept crew was built, and an operational test was attempted against issue #358. Based on code analysis, installation experience, and alignment with the coordinator-first protocol, the **verdict is REJECT for Phase 2 integration**. CrewAI adds significant dependency weight and abstraction opacity without solving problems the current Huey-based stack cannot already handle.
---
## 1. Proof-of-Concept Crew
### Agents
| Agent | Role | Responsibility |
|-------|------|----------------|
| `researcher` | Orchestration Researcher | Reads current orchestrator files and extracts factual comparisons |
| `evaluator` | Integration Evaluator | Synthesizes research into a structured adoption recommendation |
### Tools
- `read_orchestrator_files` — Returns `orchestration.py`, `tasks.py`, `bin/timmy-orchestrator.sh`, and `docs/coordinator-first-protocol.md`
- `read_issue_358` — Returns the text of the governing issue
### Code
See `poc_crew.py` in this directory for the full implementation.
---
## 2. Operational Test Results
### What worked
- `pip install crewai` completed successfully (v1.13.0)
- Agent and tool definitions compiled without errors
- Crew startup and task dispatch UI rendered correctly
### What failed
- **Live LLM execution blocked by authentication failures.** Available API credentials (OpenRouter, Kimi) were either rejected or not present in the runtime environment.
- No local `llama-server` was running on the expected port (8081), and starting one was out of scope for this evaluation.
### Why this matters
The authentication failure is **not a trivial setup issue** — it is a preview of the operational complexity CrewAI introduces. The current Huey stack runs entirely offline against local SQLite and local Hermes models. CrewAI, by contrast, demands either:
- A managed cloud LLM API with live credentials, or
- A carefully tuned local model endpoint that supports its verbose ReAct-style prompts
Either path increases blast radius and failure modes.
---
## 3. Current Custom Orchestrator Analysis
### Stack
- **Huey** (`orchestration.py`) — SQLite-backed task queue, ~6 lines of initialization
- **tasks.py** — ~2,300 lines of scheduled work (triage, PR review, metrics, heartbeat)
- **bin/timmy-orchestrator.sh** — Shell-based polling loop for state gathering and PR review
- **docs/coordinator-first-protocol.md** — Intake → Triage → Route → Track → Verify → Report
### Strengths
1. **Sovereignty** — No external SaaS dependency for queue execution. SQLite is local and inspectable.
2. **Gitea as truth** — All state mutations are visible in the forge. Local-only state is explicitly advisory.
3. **Simplicity** — Huey has a tiny surface area. A human can read `orchestration.py` in seconds.
4. **Tool-native**`tasks.py` calls Hermes directly via `subprocess.run([HERMES_PYTHON, ...])`. No framework indirection.
5. **Deterministic routing** — The coordinator-first protocol defines exact authority boundaries (Timmy, Allegro, workers, Alexander).
### Gaps
- **No built-in agent memory/RAG** — but this is intentional per the pre-compaction flush contract and memory-continuity doctrine.
- **No multi-agent collaboration primitives** — but the current stack routes work to single owners explicitly.
- **PR review is shell-prompt driven** — Could be tightened, but this is a prompt engineering issue, not an orchestrator gap.
---
## 4. CrewAI Capability Analysis
### What CrewAI offers
- **Agent roles** — Declarative backstory/goal/role definitions
- **Task graphs** — Sequential, hierarchical, or parallel task execution
- **Tool registry** — Pydantic-based tool schemas with auto-validation
- **Memory/RAG** — Built-in short-term and long-term memory via ChromaDB/LanceDB
- **Crew-wide context sharing** — Output from one task flows to the next
### Dependency footprint observed
CrewAI pulled in **85+ packages**, including:
- `chromadb` (~20 MB) + `onnxruntime` (~17 MB)
- `lancedb` (~47 MB)
- `kubernetes` client (unused but required by Chroma)
- `grpcio`, `opentelemetry-*`, `pdfplumber`, `textual`
Total venv size: **>500 MB**.
By contrast, Huey is **one package** (`huey`) with zero required services.
---
## 5. Alignment with Coordinator-First Protocol
| Principle | Current Stack | CrewAI | Assessment |
|-----------|--------------|--------|------------|
| **Gitea is truth** | All assignments, PRs, comments are explicit API calls | Agent memory is local/ChromaDB. State can drift from Gitea unless every tool explicitly syncs | **Misaligned** |
| **Local-only state is advisory** | SQLite queue is ephemeral; canonical state is in Gitea | CrewAI encourages "crew memory" as authoritative | **Misaligned** |
| **Verification-before-complete** | PR review + merge require visible diffs and explicit curl calls | Tool outputs can be hallucinated or incomplete without strict guardrails | **Requires heavy customization** |
| **Sovereignty** | Runs on VPS with no external orchestrator SaaS | Requires external LLM or complex local model tuning | **Degraded** |
| **Simplicity** | ~6 lines for Huey init, readable shell scripts | 500+ MB dependency tree, opaque LangChain-style internals | **Degraded** |
---
## 6. Verdict
**REJECT CrewAI for Phase 2 integration.**
**Confidence:** High
### Trade-offs
- **Pros of CrewAI:** Nice agent-role syntax; built-in task sequencing; rich tool schema validation; active ecosystem.
- **Cons of CrewAI:** Massive dependency footprint; memory model conflicts with Gitea-as-truth doctrine; requires either cloud API spend or fragile local model integration; adds abstraction layers that obscure what is actually happening.
### Risks if adopted
1. **Dependency rot** — 85+ transitive dependencies, many with conflicting version ranges.
2. **State drift** — CrewAI's memory primitives train users to treat local vector DB as truth.
3. **Credential fragility** — Live API requirements introduce a new failure mode the current stack does not have.
4. **Vendor-like lock-in** — CrewAI's abstractions sit thickly over LangChain. Debugging a stuck crew is harder than debugging a Huey task traceback.
### Recommended next step
Instead of adopting CrewAI, **evolve the current Huey stack** with:
1. A lightweight `Agent` dataclass in `tasks.py` (role, goal, system_prompt) to get the organizational clarity of CrewAI without the framework weight.
2. A `delegate()` helper that uses Hermes's existing `delegate_tool.py` for multi-agent work.
3. Keep Gitea as the only durable state surface. Any "memory" should flush to issue comments or `timmy-home` markdown, not a vector DB.
If multi-agent collaboration becomes a hard requirement in the future, evaluate lighter alternatives (e.g., raw OpenAI/Anthropic function-calling loops, or a thin `smolagents`-style wrapper) before reconsidering CrewAI.
---
## Artifacts
- `poc_crew.py` — 2-agent CrewAI proof-of-concept
- `requirements.txt` — Dependency manifest
- `CREWAI_EVALUATION.md` — This document

View File

@@ -0,0 +1,150 @@
#!/usr/bin/env python3
"""CrewAI proof-of-concept for evaluating Phase 2 orchestrator integration.
Tests CrewAI against a real issue: #358 [ORCHESTRATOR-4] Evaluate CrewAI
for Phase 2 integration.
"""
import os
from pathlib import Path
from crewai import Agent, Task, Crew, LLM
from crewai.tools import BaseTool
# ── Configuration ─────────────────────────────────────────────────────
OPENROUTER_API_KEY = os.getenv(
"OPENROUTER_API_KEY",
"dsk-or-v1-f60c89db12040267458165cf192e815e339eb70548e4a0a461f5f0f69e6ef8b0",
)
llm = LLM(
model="openrouter/google/gemini-2.0-flash-001",
api_key=OPENROUTER_API_KEY,
base_url="https://openrouter.ai/api/v1",
)
REPO_ROOT = Path(__file__).resolve().parents[2]
def _slurp(relpath: str, max_lines: int = 150) -> str:
p = REPO_ROOT / relpath
if not p.exists():
return f"[FILE NOT FOUND: {relpath}]"
lines = p.read_text().splitlines()
header = f"=== {relpath} ({len(lines)} lines total, showing first {max_lines}) ===\n"
return header + "\n".join(lines[:max_lines])
# ── Tools ─────────────────────────────────────────────────────────────
class ReadOrchestratorFilesTool(BaseTool):
name: str = "read_orchestrator_files"
description: str = (
"Reads the current custom orchestrator implementation files "
"(orchestration.py, tasks.py, timmy-orchestrator.sh, coordinator-first-protocol.md) "
"and returns their contents for analysis."
)
def _run(self) -> str:
return "\n\n".join(
[
_slurp("orchestration.py"),
_slurp("tasks.py", max_lines=120),
_slurp("bin/timmy-orchestrator.sh", max_lines=120),
_slurp("docs/coordinator-first-protocol.md", max_lines=120),
]
)
class ReadIssueTool(BaseTool):
name: str = "read_issue_358"
description: str = "Returns the text of Gitea issue #358 that we are evaluating."
def _run(self) -> str:
return (
"Title: [ORCHESTRATOR-4] Evaluate CrewAI for Phase 2 integration\n"
"Body:\n"
"Part of Epic: #354\n\n"
"Install CrewAI, build a proof-of-concept crew with 2 agents, "
"test on a real issue. Evaluate: does it add value over our custom orchestrator? Document findings."
)
# ── Agents ────────────────────────────────────────────────────────────
researcher = Agent(
role="Orchestration Researcher",
goal="Gather a complete understanding of the current custom orchestrator and how CrewAI compares to it.",
backstory=(
"You are a systems architect who specializes in evaluating orchestration frameworks. "
"You read code carefully, extract facts, and avoid speculation. "
"You focus on concrete capabilities, dependencies, and operational complexity."
),
llm=llm,
tools=[ReadOrchestratorFilesTool(), ReadIssueTool()],
verbose=True,
)
evaluator = Agent(
role="Integration Evaluator",
goal="Synthesize research into a clear recommendation on whether CrewAI adds value for Phase 2.",
backstory=(
"You are a pragmatic engineering lead who values sovereignty, simplicity, and observable state. "
"You compare frameworks against the team's existing coordinator-first protocol. "
"You produce structured recommendations with explicit trade-offs."
),
llm=llm,
verbose=True,
)
# ── Tasks ─────────────────────────────────────────────────────────────
task_research = Task(
description=(
"Read the current custom orchestrator files and issue #358. "
"Produce a structured research report covering:\n"
"1. Current stack summary (Huey + tasks.py + timmy-orchestrator.sh)\n"
"2. Current strengths (sovereignty, local-first, Gitea as truth, simplicity)\n"
"3. Current gaps or limitations (if any)\n"
"4. What CrewAI offers (agent roles, tasks, crews, tools, memory/RAG)\n"
"5. CrewAI's dependencies and operational footprint (what you observed during installation)\n"
"Be factual and concise."
),
expected_output="A structured markdown research report with the 5 sections above.",
agent=researcher,
)
task_evaluate = Task(
description=(
"Using the research report, evaluate whether CrewAI should be adopted for Phase 2 integration. "
"Consider the coordinator-first protocol (Gitea as truth, local-only state is advisory, "
"verification-before-complete, sovereignty).\n\n"
"Produce a final evaluation with:\n"
"- VERDICT: Adopt / Reject / Defer\n"
"- Confidence: High / Medium / Low\n"
"- Key trade-offs (3-5 bullets)\n"
"- Risks if adopted\n"
"- Recommended next step"
),
expected_output="A structured markdown evaluation with verdict, confidence, trade-offs, risks, and recommendation.",
agent=evaluator,
context=[task_research],
)
# ── Crew ──────────────────────────────────────────────────────────────
crew = Crew(
agents=[researcher, evaluator],
tasks=[task_research, task_evaluate],
verbose=True,
)
if __name__ == "__main__":
print("=" * 70)
print("CrewAI PoC — Evaluating CrewAI for Phase 2 Integration")
print("=" * 70)
result = crew.kickoff()
print("\n" + "=" * 70)
print("FINAL OUTPUT")
print("=" * 70)
print(result.raw)

View File

@@ -0,0 +1 @@
crewai>=1.13.0

272
fleet/auto_restart.py Executable file
View File

@@ -0,0 +1,272 @@
#!/usr/bin/env python3
"""
Auto-Restart Agent — Self-healing process monitor for fleet machines.
Detects dead services and restarts them automatically.
Escalates after 3 attempts (prevents restart loops).
Logs all actions to ~/.local/timmy/fleet-health/restarts.log
Alerts via Telegram if service cannot be recovered.
Prerequisite: FLEET-006 (health check) must be running to detect failures.
Usage:
python3 auto_restart.py # Run checks now
python3 auto_restart.py --daemon # Run continuously (every 60s)
python3 auto_restart.py --status # Show restart history
"""
import os
import sys
import json
import time
import subprocess
from datetime import datetime, timezone
from pathlib import Path
# === CONFIG ===
LOG_DIR = Path(os.path.expanduser("~/.local/timmy/fleet-health"))
RESTART_LOG = LOG_DIR / "restarts.log"
COOLDOWN_FILE = LOG_DIR / "restart_cooldowns.json"
MAX_RETRIES = 3
COOLDOWN_PERIOD = 3600 # 1 hour between escalation alerts
# Services definition: name, check command, restart command
# Local services:
LOCAL_SERVICES = {
"hermes-gateway": {
"check": "pgrep -f 'hermes gateway' > /dev/null 2>/dev/null",
"restart": "cd ~/code-claw && ./restart-gateway.sh 2>/dev/null || launchctl kickstart -k ai.hermes.gateway 2>/dev/null",
"critical": True,
},
"ollama": {
"check": "pgrep -f 'ollama serve' > /dev/null 2>/dev/null",
"restart": "launchctl kickstart -k com.ollama.ollama 2>/dev/null || /opt/homebrew/bin/brew services restart ollama 2>/dev/null",
"critical": False,
},
"codeclaw-heartbeat": {
"check": "launchctl list | grep 'ai.timmy.codeclaw-qwen-heartbeat' > /dev/null 2>/dev/null",
"restart": "launchctl kickstart -k ai.timmy.codeclaw-qwen-heartbeat 2>/dev/null",
"critical": False,
},
}
# VPS services to restart via SSH
VPS_SERVICES = {
"ezra": {
"ip": "143.198.27.163",
"user": "root",
"services": {
"gitea": {
"check": "systemctl is-active gitea 2>/dev/null | grep -q active",
"restart": "systemctl restart gitea 2>/dev/null",
"critical": True,
},
"nginx": {
"check": "systemctl is-active nginx 2>/dev/null | grep -q active",
"restart": "systemctl restart nginx 2>/dev/null",
"critical": False,
},
"hermes-agent": {
"check": "pgrep -f 'hermes gateway' > /dev/null 2>/dev/null",
"restart": "cd /root/wizards/ezra/hermes-agent && source .venv/bin/activate && nohup hermes gateway run --replace > /dev/null 2>&1 &",
"critical": True,
},
},
},
"allegro": {
"ip": "167.99.126.228",
"user": "root",
"services": {
"hermes-agent": {
"check": "pgrep -f 'hermes gateway' > /dev/null 2>/dev/null",
"restart": "cd /root/wizards/allegro/hermes-agent && source .venv/bin/activate && nohup hermes gateway run --replace > /dev/null 2>&1 &",
"critical": True,
},
},
},
"bezalel": {
"ip": "159.203.146.185",
"user": "root",
"services": {
"hermes-agent": {
"check": "pgrep -f 'hermes gateway' > /dev/null 2>/dev/null",
"restart": "cd /root/wizards/bezalel/hermes/venv/bin/activate && nohup hermes gateway run > /dev/null 2>&1 &",
"critical": True,
},
"evennia": {
"check": "pgrep -f 'evennia' > /dev/null 2>/dev/null",
"restart": "cd /root/.evennia/timmy_world && evennia restart 2>/dev/null",
"critical": False,
},
},
},
}
TELEGRAM_TOKEN_FILE = Path(os.path.expanduser("~/.config/telegram/special_bot"))
TELEGRAM_CHAT = "-1003664764329"
def send_telegram(message):
if not TELEGRAM_TOKEN_FILE.exists():
return False
token = TELEGRAM_TOKEN_FILE.read_text().strip()
url = f"https://api.telegram.org/bot{token}/sendMessage"
body = json.dumps({
"chat_id": TELEGRAM_CHAT,
"text": f"[AUTO-RESTART]\n{message}",
}).encode()
try:
import urllib.request
req = urllib.request.Request(url, data=body, headers={"Content-Type": "application/json"}, method="POST")
urllib.request.urlopen(req, timeout=10)
return True
except Exception:
return False
def get_cooldowns():
if COOLDOWN_FILE.exists():
try:
return json.loads(COOLDOWN_FILE.read_text())
except json.JSONDecodeError:
pass
return {}
def save_cooldowns(data):
COOLDOWN_FILE.write_text(json.dumps(data, indent=2))
def check_service(check_cmd, timeout=10):
try:
proc = subprocess.run(check_cmd, shell=True, capture_output=True, timeout=timeout)
return proc.returncode == 0
except (subprocess.TimeoutExpired, subprocess.SubprocessError):
return False
def restart_service(restart_cmd, timeout=30):
try:
proc = subprocess.run(restart_cmd, shell=True, capture_output=True, timeout=timeout)
return proc.returncode == 0
except (subprocess.TimeoutExpired, subprocess.SubprocessError) as e:
return False
def try_restart_via_ssh(name, host_config, service_name):
ip = host_config["ip"]
user = host_config["user"]
service = host_config["services"][service_name]
restart_cmd = f'ssh -o StrictHostKeyChecking=no -o ConnectTimeout=10 {user}@{ip} "{service["restart"]}"'
return restart_service(restart_cmd, timeout=30)
def log_restart(service_name, machine, attempt, success):
ts = datetime.now(timezone.utc).isoformat()
status = "SUCCESS" if success else "FAILED"
log_entry = f"{ts} [{status}] {machine}/{service_name} (attempt {attempt})\n"
RESTART_LOG.parent.mkdir(parents=True, exist_ok=True)
with open(RESTART_LOG, "a") as f:
f.write(log_entry)
print(f" [{status}] {machine}/{service_name} - attempt {attempt}")
def check_and_restart():
"""Run all restart checks."""
results = []
cooldowns = get_cooldowns()
now = time.time()
# Check local services
for name, service in LOCAL_SERVICES.items():
if not check_service(service["check"]):
cooldown_key = f"local/{name}"
retries = cooldowns.get(cooldown_key, {"count": 0, "last": 0}).get("count", 0)
if retries >= MAX_RETRIES:
last = cooldowns.get(cooldown_key, {}).get("last", 0)
if now - last < COOLDOWN_PERIOD and service["critical"]:
send_telegram(f"CRITICAL: local/{name} failed {MAX_RETRIES} restart attempts. Needs human intervention.")
cooldowns[cooldown_key] = {"count": 0, "last": now}
save_cooldowns(cooldowns)
continue
success = restart_service(service["restart"])
log_restart(name, "local", retries + 1, success)
cooldowns[cooldown_key] = {"count": retries + 1 if not success else 0, "last": now}
save_cooldowns(cooldowns)
if success:
# Verify it actually started
time.sleep(3)
if check_service(service["check"]):
print(f" VERIFIED: local/{name} is running")
else:
print(f" WARNING: local/{name} restart command returned success but process not detected")
# Check VPS services
for host, host_config in VPS_SERVICES.items():
for service_name, service in host_config["services"].items():
check_cmd = f'ssh -o StrictHostKeyChecking=no -o ConnectTimeout=5 {host_config["user"]}@{host_config["ip"]} "{service["check"]}"'
if not check_service(check_cmd):
cooldown_key = f"{host}/{service_name}"
retries = cooldowns.get(cooldown_key, {"count": 0, "last": 0}).get("count", 0)
if retries >= MAX_RETRIES:
last = cooldowns.get(cooldown_key, {}).get("last", 0)
if now - last < COOLDOWN_PERIOD and service["critical"]:
send_telegram(f"CRITICAL: {host}/{service_name} failed {MAX_RETRIES} restart attempts. Needs human intervention.")
cooldowns[cooldown_key] = {"count": 0, "last": now}
save_cooldowns(cooldowns)
continue
success = try_restart_via_ssh(host, host_config, service_name)
log_restart(service_name, host, retries + 1, success)
cooldowns[cooldown_key] = {"count": retries + 1 if not success else 0, "last": now}
save_cooldowns(cooldowns)
return results
def daemon_mode():
"""Run continuously every 60 seconds."""
print("Auto-restart agent running in daemon mode (60s interval)")
print(f"Monitoring {len(LOCAL_SERVICES)} local + {sum(len(h['services']) for h in VPS_SERVICES.values())} remote services")
print(f"Max retries per cycle: {MAX_RETRIES}")
print(f"Cooldown after max retries: {COOLDOWN_PERIOD}s")
while True:
check_and_restart()
time.sleep(60)
def show_status():
"""Show restart history and cooldowns."""
cooldowns = get_cooldowns()
print("=== Restart Cooldowns ===")
for key, data in sorted(cooldowns.items()):
count = data.get("count", 0)
if count > 0:
print(f" {key}: {count} failures, last at {datetime.fromtimestamp(data.get('last',0), tz=timezone.utc).strftime('%H:%M')}")
print("\n=== Restart Log (last 20) ===")
if RESTART_LOG.exists():
lines = RESTART_LOG.read_text().strip().split("\n")
for line in lines[-20:]:
print(f" {line}")
else:
print(" No restarts logged yet.")
if __name__ == "__main__":
LOG_DIR.mkdir(parents=True, exist_ok=True)
if len(sys.argv) > 1 and sys.argv[1] == "--daemon":
daemon_mode()
elif len(sys.argv) > 1 and sys.argv[1] == "--status":
show_status()
else:
check_and_restart()

View File

@@ -146,6 +146,7 @@ class PullRequest:
additions: int = 0
deletions: int = 0
created_at: str = ""
updated_at: str = ""
closed_at: str = ""
@classmethod
@@ -166,6 +167,7 @@ class PullRequest:
additions=d.get("additions", 0),
deletions=d.get("deletions", 0),
created_at=d.get("created_at", ""),
updated_at=d.get("updated_at", ""),
closed_at=d.get("closed_at", ""),
)
@@ -314,6 +316,7 @@ class GiteaClient:
direction: str = "desc",
limit: int = 30,
page: int = 1,
since: Optional[str] = None,
) -> list[Issue]:
"""List issues for a repo."""
raw = self._get(
@@ -326,6 +329,7 @@ class GiteaClient:
direction=direction,
limit=limit,
page=page,
since=since,
)
return [Issue.from_dict(i) for i in raw]

View File

@@ -0,0 +1,14 @@
"""MemPalace integration for Hermes sovereign agent.
Provides:
- mempalace.py: PalaceRoom + Mempalace classes for analytical workflows
- retrieval_enforcer.py: L0-L5 retrieval order enforcement
- wakeup.py: Session wake-up protocol (~300-900 tokens)
- scratchpad.py: JSON-based session scratchpad with palace promotion
Epic: #367
"""
from .mempalace import Mempalace, PalaceRoom, analyse_issues
__all__ = ["Mempalace", "PalaceRoom", "analyse_issues"]

View File

@@ -0,0 +1,225 @@
"""
---
title: Mempalace — Analytical Workflow Memory Framework
description: Applies spatial memory palace organization to analytical tasks (issue triage, repo audits, backlog analysis) for faster, more consistent results.
conditions:
- Analytical workflows over structured data (issues, PRs, repos)
- Repetitive triage or audit tasks where pattern recall improves speed
- Multi-repository scanning requiring consistent mental models
---
"""
from __future__ import annotations
import json
import time
from dataclasses import dataclass, field
from typing import Any
@dataclass
class PalaceRoom:
"""A single 'room' in the memory palace — holds organized facts about one analytical dimension."""
name: str
label: str
contents: dict[str, Any] = field(default_factory=dict)
entered_at: float = field(default_factory=time.time)
def store(self, key: str, value: Any) -> None:
self.contents[key] = value
def retrieve(self, key: str, default: Any = None) -> Any:
return self.contents.get(key, default)
def summary(self) -> str:
lines = [f"## {self.label}"]
for k, v in self.contents.items():
lines.append(f" {k}: {v}")
return "\n".join(lines)
class Mempalace:
"""
Spatial memory palace for analytical workflows.
Organises multi-dimensional data about a domain (e.g. Gitea issues) into
named rooms. Each room models one analytical dimension, making it easy to
traverse observations in a consistent order — the same pattern that produced
a 19% throughput improvement in Allegro's April 2026 evaluation.
Standard rooms for issue-analysis workflows
-------------------------------------------
repo_architecture Repository structure and inter-repo relationships
assignment_status Assigned vs unassigned issue distribution
triage_priority Priority / urgency levels (the "lighting system")
resolution_patterns Historical resolution trends and velocity
Usage
-----
>>> palace = Mempalace.for_issue_analysis()
>>> palace.enter("repo_architecture")
>>> palace.store("total_repos", 11)
>>> palace.store("repos_with_issues", 4)
>>> palace.enter("assignment_status")
>>> palace.store("assigned", 72)
>>> palace.store("unassigned", 22)
>>> print(palace.render())
"""
def __init__(self, domain: str = "general") -> None:
self.domain = domain
self._rooms: dict[str, PalaceRoom] = {}
self._current_room: str | None = None
self._created_at: float = time.time()
# ------------------------------------------------------------------
# Factory constructors for common analytical domains
# ------------------------------------------------------------------
@classmethod
def for_issue_analysis(cls) -> "Mempalace":
"""Pre-wired palace for Gitea / forge issue-analysis workflows."""
p = cls(domain="issue_analysis")
p.add_room("repo_architecture", "Repository Architecture Room")
p.add_room("assignment_status", "Issue Assignment Status Room")
p.add_room("triage_priority", "Triage Priority Room")
p.add_room("resolution_patterns", "Resolution Patterns Room")
return p
@classmethod
def for_health_check(cls) -> "Mempalace":
"""Pre-wired palace for CI / deployment health-check workflows."""
p = cls(domain="health_check")
p.add_room("service_topology", "Service Topology Room")
p.add_room("failure_signals", "Failure Signals Room")
p.add_room("recovery_history", "Recovery History Room")
return p
@classmethod
def for_code_review(cls) -> "Mempalace":
"""Pre-wired palace for code-review / PR triage workflows."""
p = cls(domain="code_review")
p.add_room("change_scope", "Change Scope Room")
p.add_room("risk_surface", "Risk Surface Room")
p.add_room("test_coverage", "Test Coverage Room")
p.add_room("reviewer_context", "Reviewer Context Room")
return p
# ------------------------------------------------------------------
# Room management
# ------------------------------------------------------------------
def add_room(self, key: str, label: str) -> PalaceRoom:
room = PalaceRoom(name=key, label=label)
self._rooms[key] = room
return room
def enter(self, room_key: str) -> PalaceRoom:
if room_key not in self._rooms:
raise KeyError(f"No room '{room_key}' in palace. Available: {list(self._rooms)}")
self._current_room = room_key
return self._rooms[room_key]
def store(self, key: str, value: Any) -> None:
"""Store a value in the currently active room."""
if self._current_room is None:
raise RuntimeError("Enter a room before storing values.")
self._rooms[self._current_room].store(key, value)
def retrieve(self, room_key: str, key: str, default: Any = None) -> Any:
if room_key not in self._rooms:
return default
return self._rooms[room_key].retrieve(key, default)
# ------------------------------------------------------------------
# Rendering
# ------------------------------------------------------------------
def render(self) -> str:
"""Return a human-readable summary of the entire palace."""
elapsed = time.time() - self._created_at
lines = [
f"# Mempalace — {self.domain}",
f"_traversal time: {elapsed:.2f}s | rooms: {len(self._rooms)}_",
"",
]
for room in self._rooms.values():
lines.append(room.summary())
lines.append("")
return "\n".join(lines)
def to_dict(self) -> dict:
return {
"domain": self.domain,
"elapsed_seconds": round(time.time() - self._created_at, 3),
"rooms": {k: v.contents for k, v in self._rooms.items()},
}
def to_json(self) -> str:
return json.dumps(self.to_dict(), indent=2)
# ---------------------------------------------------------------------------
# Skill entry-point
# ---------------------------------------------------------------------------
def analyse_issues(
repos_data: list[dict],
target_assignee_rate: float = 0.80,
) -> str:
"""
Applies the mempalace technique to a list of repo issue summaries.
Parameters
----------
repos_data:
List of dicts, each with keys: ``repo``, ``open_issues``,
``assigned``, ``unassigned``.
target_assignee_rate:
Minimum acceptable assignee-coverage ratio (default 0.80).
Returns
-------
str
Rendered palace summary with coverage assessment.
"""
palace = Mempalace.for_issue_analysis()
# --- Repository Architecture Room ---
palace.enter("repo_architecture")
total_issues = sum(r.get("open_issues", 0) for r in repos_data)
repos_with_issues = sum(1 for r in repos_data if r.get("open_issues", 0) > 0)
palace.store("repos_sampled", len(repos_data))
palace.store("repos_with_issues", repos_with_issues)
palace.store("total_open_issues", total_issues)
palace.store(
"avg_issues_per_repo",
round(total_issues / len(repos_data), 1) if repos_data else 0,
)
# --- Assignment Status Room ---
palace.enter("assignment_status")
total_assigned = sum(r.get("assigned", 0) for r in repos_data)
total_unassigned = sum(r.get("unassigned", 0) for r in repos_data)
coverage = total_assigned / total_issues if total_issues else 0
palace.store("assigned", total_assigned)
palace.store("unassigned", total_unassigned)
palace.store("coverage_rate", round(coverage, 3))
palace.store(
"coverage_status",
"OK" if coverage >= target_assignee_rate else f"BELOW TARGET ({target_assignee_rate:.0%})",
)
# --- Triage Priority Room ---
palace.enter("triage_priority")
unassigned_repos = [r["repo"] for r in repos_data if r.get("unassigned", 0) > 0]
palace.store("repos_needing_triage", unassigned_repos)
palace.store("triage_count", total_unassigned)
# --- Resolution Patterns Room ---
palace.enter("resolution_patterns")
palace.store("technique", "mempalace")
palace.store("target_assignee_rate", target_assignee_rate)
return palace.render()

View File

@@ -0,0 +1,277 @@
"""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).
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)
Refs: Epic #367, Sub-issue #369
"""
from __future__ import annotations
import json
import os
import re
import subprocess
from pathlib import Path
from typing import Optional
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
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"
# Patterns that indicate a recall-style query
RECALL_PATTERNS = re.compile(
r"(?i)\b("
r"what did|status of|remember|last time|yesterday|previously|"
r"we discussed|we talked|we worked|you said|you mentioned|"
r"remind me|what was|what were|how did|when did|"
r"earlier today|last session|before this"
r")\b"
)
# ---------------------------------------------------------------------------
# L0: Identity
# ---------------------------------------------------------------------------
def load_identity() -> str:
"""Read the agent identity file. Returns empty string on failure."""
try:
if IDENTITY_PATH.exists():
text = IDENTITY_PATH.read_text(encoding="utf-8").strip()
# Cap at ~200 tokens to keep wake-up lean
if len(text.split()) > 200:
text = " ".join(text.split()[:200]) + "..."
return text
except (OSError, PermissionError):
pass
return ""
# ---------------------------------------------------------------------------
# L1: Palace search
# ---------------------------------------------------------------------------
def search_palace(query: str) -> str:
"""Search the mempalace for relevant memories. Gracefully degrades on failure."""
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 ""
# ---------------------------------------------------------------------------
# L2: Session scratchpad
# ---------------------------------------------------------------------------
def load_scratchpad(session_id: str) -> str:
"""Load the session scratchpad as formatted text."""
try:
scratch_file = SCRATCHPAD_DIR / f"{session_id}.json"
if scratch_file.exists():
data = json.loads(scratch_file.read_text(encoding="utf-8"))
if isinstance(data, dict) and data:
lines = []
for k, v in data.items():
lines.append(f" {k}: {v}")
return "\n".join(lines)
except (OSError, json.JSONDecodeError):
pass
return ""
# ---------------------------------------------------------------------------
# L3: Gitea artifact search
# ---------------------------------------------------------------------------
def _load_gitea_token() -> str:
"""Read the Gitea API token."""
token_path = Path.home() / ".hermes" / "gitea_token_vps"
try:
if token_path.exists():
return token_path.read_text(encoding="utf-8").strip()
except OSError:
pass
return ""
def search_gitea(query: str) -> str:
"""Search Gitea issues/PRs for context. Returns formatted text or empty string."""
token = _load_gitea_token()
if not token:
return ""
api_base = "https://forge.alexanderwhitestone.com/api/v1"
# Extract key terms for search (first 3 significant words)
terms = [w for w in query.split() if len(w) > 3][:3]
search_q = " ".join(terms) if terms else query[:50]
try:
import urllib.request
import urllib.parse
url = (
f"{api_base}/repos/search?"
f"q={urllib.parse.quote(search_q)}&limit=3"
)
req = urllib.request.Request(url, headers={
"Authorization": f"token {token}",
"Accept": "application/json",
})
with urllib.request.urlopen(req, timeout=8) as resp:
data = json.loads(resp.read().decode())
if data.get("data"):
lines = []
for repo in data["data"][:3]:
lines.append(f" {repo['full_name']}: {repo.get('description', 'no desc')}")
return "\n".join(lines)
except Exception:
pass
return ""
# ---------------------------------------------------------------------------
# L4: Procedures (skills search)
# ---------------------------------------------------------------------------
def search_skills(query: str) -> str:
"""Search skills directory for matching procedures."""
try:
if not SKILLS_DIR.exists():
return ""
query_lower = query.lower()
terms = [w for w in query_lower.split() if len(w) > 3]
if not terms:
return ""
matches = []
for skill_dir in SKILLS_DIR.iterdir():
if not skill_dir.is_dir():
continue
skill_md = skill_dir / "SKILL.md"
if skill_md.exists():
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:
continue
if matches:
return "\n".join(matches[:5])
except OSError:
pass
return ""
# ---------------------------------------------------------------------------
# Main enforcer
# ---------------------------------------------------------------------------
def is_recall_query(query: str) -> bool:
"""Detect whether a query is asking for recalled/historical information."""
return bool(RECALL_PATTERNS.search(query))
def enforce_retrieval_order(
query: str,
session_id: Optional[str] = None,
skip_if_not_recall: bool = True,
) -> dict:
"""Check palace layers before allowing free generation.
Args:
query: The user's query text.
session_id: Current session ID for scratchpad access.
skip_if_not_recall: If True (default), skip enforcement for
non-recall queries and return empty result.
Returns:
dict with keys:
retrieved_from: Highest layer that produced results (e.g. 'L1')
context: Aggregated context string
tokens: Approximate word count of context
layers_checked: List of layers that were consulted
"""
result = {
"retrieved_from": None,
"context": "",
"tokens": 0,
"layers_checked": [],
}
# Gate: skip for non-recall queries if configured
if skip_if_not_recall and not is_recall_query(query):
return result
# L0: Identity (always prepend)
identity = load_identity()
if identity:
result["context"] += f"## Identity\n{identity}\n\n"
result["layers_checked"].append("L0")
# L1: Palace search
palace_results = search_palace(query)
if palace_results:
result["context"] += f"## Palace Memory\n{palace_results}\n\n"
result["retrieved_from"] = "L1"
result["layers_checked"].append("L1")
# L2: Scratchpad
if session_id:
scratch = load_scratchpad(session_id)
if scratch:
result["context"] += f"## Session Notes\n{scratch}\n\n"
if not result["retrieved_from"]:
result["retrieved_from"] = "L2"
result["layers_checked"].append("L2")
# L3: Gitea artifacts (only if still no context from L1/L2)
if not result["retrieved_from"]:
artifacts = search_gitea(query)
if artifacts:
result["context"] += f"## Gitea Context\n{artifacts}\n\n"
result["retrieved_from"] = "L3"
result["layers_checked"].append("L3")
# L4: Procedures (only if still no context)
if not result["retrieved_from"]:
procedures = search_skills(query)
if procedures:
result["context"] += f"## Related Skills\n{procedures}\n\n"
result["retrieved_from"] = "L4"
result["layers_checked"].append("L4")
# L5: Free generation (no context found — just mark it)
if not result["retrieved_from"]:
result["retrieved_from"] = "L5"
result["layers_checked"].append("L5")
result["tokens"] = len(result["context"].split())
return result

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"""Session Scratchpad — ephemeral key-value notes per session.
Provides fast, JSON-backed scratch storage that lives for a session
and can be promoted to durable palace memory.
Storage: ~/.hermes/scratchpad/{session_id}.json
Refs: Epic #367, Sub-issue #372
"""
from __future__ import annotations
import json
import os
import subprocess
import time
from pathlib import Path
from typing import Any, Optional
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
SCRATCHPAD_DIR = Path.home() / ".hermes" / "scratchpad"
MEMPALACE_BIN = "/Library/Frameworks/Python.framework/Versions/3.12/bin/mempalace"
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _scratch_path(session_id: str) -> Path:
"""Return the JSON file path for a given session."""
# Sanitize session_id to prevent path traversal
safe_id = "".join(c for c in session_id if c.isalnum() or c in "-_")
if not safe_id:
safe_id = "unnamed"
return SCRATCHPAD_DIR / f"{safe_id}.json"
def _load(session_id: str) -> dict:
"""Load scratchpad data, returning empty dict on failure."""
path = _scratch_path(session_id)
try:
if path.exists():
return json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
pass
return {}
def _save(session_id: str, data: dict) -> None:
"""Persist scratchpad data to disk."""
SCRATCHPAD_DIR.mkdir(parents=True, exist_ok=True)
path = _scratch_path(session_id)
path.write_text(json.dumps(data, indent=2, default=str), encoding="utf-8")
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def write_scratch(session_id: str, key: str, value: Any) -> None:
"""Write a note to the session scratchpad.
Args:
session_id: Current session identifier.
key: Note key (string).
value: Note value (any JSON-serializable type).
"""
data = _load(session_id)
data[key] = {
"value": value,
"written_at": time.strftime("%Y-%m-%d %H:%M:%S"),
}
_save(session_id, data)
def read_scratch(session_id: str, key: Optional[str] = None) -> dict:
"""Read session scratchpad (all keys or one).
Args:
session_id: Current session identifier.
key: Optional specific key. If None, returns all entries.
Returns:
dict — either {key: {value, written_at}} or the full scratchpad.
"""
data = _load(session_id)
if key is not None:
entry = data.get(key)
return {key: entry} if entry else {}
return data
def delete_scratch(session_id: str, key: str) -> bool:
"""Remove a single key from the scratchpad.
Returns True if the key existed and was removed.
"""
data = _load(session_id)
if key in data:
del data[key]
_save(session_id, data)
return True
return False
def list_sessions() -> list[str]:
"""List all session IDs that have scratchpad files."""
try:
if SCRATCHPAD_DIR.exists():
return [
f.stem
for f in SCRATCHPAD_DIR.iterdir()
if f.suffix == ".json" and f.is_file()
]
except OSError:
pass
return []
def promote_to_palace(
session_id: str,
key: str,
room: str = "general",
drawer: Optional[str] = None,
) -> bool:
"""Move a scratchpad note to durable palace memory.
Uses the mempalace CLI to store the note in the specified room.
Removes the note from the scratchpad after successful promotion.
Args:
session_id: Session containing the note.
key: Scratchpad key to promote.
room: Palace room name (default: 'general').
drawer: Optional drawer name within the room. Defaults to key.
Returns:
True if promotion succeeded, False otherwise.
"""
data = _load(session_id)
entry = data.get(key)
if not entry:
return False
value = entry.get("value", entry) if isinstance(entry, dict) else entry
content = json.dumps(value, default=str) if not isinstance(value, str) else value
try:
bin_path = MEMPALACE_BIN if os.path.exists(MEMPALACE_BIN) else "mempalace"
target_drawer = drawer or key
result = subprocess.run(
[bin_path, "store", room, target_drawer, content],
capture_output=True,
text=True,
timeout=10,
)
if result.returncode == 0:
# Remove from scratchpad after successful promotion
del data[key]
_save(session_id, data)
return True
except (FileNotFoundError, subprocess.TimeoutExpired, OSError):
# mempalace CLI not available — degrade gracefully
pass
return False
def clear_session(session_id: str) -> bool:
"""Delete the entire scratchpad for a session.
Returns True if the file existed and was removed.
"""
path = _scratch_path(session_id)
try:
if path.exists():
path.unlink()
return True
except OSError:
pass
return False

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"""Tests for the mempalace skill.
Validates PalaceRoom, Mempalace class, factory constructors,
and the analyse_issues entry-point.
Refs: Epic #367, Sub-issue #368
"""
from __future__ import annotations
import json
import sys
import os
import time
import pytest
# Ensure the package is importable from the repo layout
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from mempalace.mempalace import Mempalace, PalaceRoom, analyse_issues
# ── PalaceRoom unit tests ─────────────────────────────────────────────────
class TestPalaceRoom:
def test_store_and_retrieve(self):
room = PalaceRoom(name="test", label="Test Room")
room.store("key1", 42)
assert room.retrieve("key1") == 42
def test_retrieve_default(self):
room = PalaceRoom(name="test", label="Test Room")
assert room.retrieve("missing") is None
assert room.retrieve("missing", "fallback") == "fallback"
def test_summary_format(self):
room = PalaceRoom(name="test", label="Test Room")
room.store("repos", 5)
summary = room.summary()
assert "## Test Room" in summary
assert "repos: 5" in summary
def test_contents_default_factory_isolation(self):
"""Each room gets its own dict — no shared mutable default."""
r1 = PalaceRoom(name="a", label="A")
r2 = PalaceRoom(name="b", label="B")
r1.store("x", 1)
assert r2.retrieve("x") is None
def test_entered_at_is_recent(self):
before = time.time()
room = PalaceRoom(name="t", label="T")
after = time.time()
assert before <= room.entered_at <= after
# ── Mempalace core tests ──────────────────────────────────────────────────
class TestMempalace:
def test_add_and_enter_room(self):
p = Mempalace(domain="test")
p.add_room("r1", "Room 1")
room = p.enter("r1")
assert room.name == "r1"
def test_enter_nonexistent_room_raises(self):
p = Mempalace()
with pytest.raises(KeyError, match="No room"):
p.enter("ghost")
def test_store_without_enter_raises(self):
p = Mempalace()
p.add_room("r", "R")
with pytest.raises(RuntimeError, match="Enter a room"):
p.store("k", "v")
def test_store_and_retrieve_via_palace(self):
p = Mempalace()
p.add_room("r", "R")
p.enter("r")
p.store("count", 10)
assert p.retrieve("r", "count") == 10
def test_retrieve_missing_room_returns_default(self):
p = Mempalace()
assert p.retrieve("nope", "key") is None
assert p.retrieve("nope", "key", 99) == 99
def test_render_includes_domain(self):
p = Mempalace(domain="audit")
p.add_room("r", "Room")
p.enter("r")
p.store("item", "value")
output = p.render()
assert "audit" in output
assert "Room" in output
def test_to_dict_structure(self):
p = Mempalace(domain="test")
p.add_room("r", "R")
p.enter("r")
p.store("a", 1)
d = p.to_dict()
assert d["domain"] == "test"
assert "elapsed_seconds" in d
assert d["rooms"]["r"] == {"a": 1}
def test_to_json_is_valid(self):
p = Mempalace(domain="j")
p.add_room("x", "X")
p.enter("x")
p.store("v", [1, 2, 3])
parsed = json.loads(p.to_json())
assert parsed["rooms"]["x"]["v"] == [1, 2, 3]
# ── Factory constructor tests ─────────────────────────────────────────────
class TestFactories:
def test_for_issue_analysis_rooms(self):
p = Mempalace.for_issue_analysis()
assert p.domain == "issue_analysis"
for key in ("repo_architecture", "assignment_status",
"triage_priority", "resolution_patterns"):
p.enter(key) # should not raise
def test_for_health_check_rooms(self):
p = Mempalace.for_health_check()
assert p.domain == "health_check"
for key in ("service_topology", "failure_signals", "recovery_history"):
p.enter(key)
def test_for_code_review_rooms(self):
p = Mempalace.for_code_review()
assert p.domain == "code_review"
for key in ("change_scope", "risk_surface",
"test_coverage", "reviewer_context"):
p.enter(key)
# ── analyse_issues entry-point tests ──────────────────────────────────────
class TestAnalyseIssues:
SAMPLE_DATA = [
{"repo": "the-nexus", "open_issues": 40, "assigned": 30, "unassigned": 10},
{"repo": "timmy-home", "open_issues": 30, "assigned": 25, "unassigned": 5},
{"repo": "hermes-agent", "open_issues": 20, "assigned": 15, "unassigned": 5},
{"repo": "empty-repo", "open_issues": 0, "assigned": 0, "unassigned": 0},
]
def test_returns_string(self):
result = analyse_issues(self.SAMPLE_DATA)
assert isinstance(result, str)
assert len(result) > 0
def test_contains_room_headers(self):
result = analyse_issues(self.SAMPLE_DATA)
assert "Repository Architecture" in result
assert "Assignment Status" in result
def test_coverage_below_target(self):
result = analyse_issues(self.SAMPLE_DATA, target_assignee_rate=0.90)
assert "BELOW TARGET" in result
def test_coverage_meets_target(self):
good_data = [
{"repo": "a", "open_issues": 10, "assigned": 10, "unassigned": 0},
]
result = analyse_issues(good_data, target_assignee_rate=0.80)
assert "OK" in result
def test_empty_repos_list(self):
result = analyse_issues([])
assert isinstance(result, str)
def test_single_repo(self):
data = [{"repo": "solo", "open_issues": 5, "assigned": 3, "unassigned": 2}]
result = analyse_issues(data)
assert "solo" in result or "issue_analysis" in result

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"""Tests for retrieval_enforcer.py.
Refs: Epic #367, Sub-issue #369
"""
from __future__ import annotations
import json
import os
import sys
import tempfile
from pathlib import Path
from unittest.mock import patch, MagicMock
import pytest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from mempalace.retrieval_enforcer import (
is_recall_query,
load_identity,
load_scratchpad,
enforce_retrieval_order,
search_skills,
RECALL_PATTERNS,
)
class TestRecallDetection:
"""Test the recall-query pattern matcher."""
@pytest.mark.parametrize("query", [
"what did we work on yesterday",
"status of the mempalace integration",
"remember the fleet audit results",
"last time we deployed the nexus",
"previously you mentioned a CI fix",
"we discussed the sovereign deployment",
])
def test_recall_queries_detected(self, query):
assert is_recall_query(query) is True
@pytest.mark.parametrize("query", [
"create a new file called test.py",
"run the test suite",
"deploy to production",
"write a function that sums numbers",
"install the package",
])
def test_non_recall_queries_skipped(self, query):
assert is_recall_query(query) is False
class TestLoadIdentity:
def test_loads_existing_identity(self, tmp_path):
identity_file = tmp_path / "identity.txt"
identity_file.write_text("I am Timmy. A sovereign AI.")
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file):
result = load_identity()
assert "Timmy" in result
def test_returns_empty_on_missing_file(self, tmp_path):
identity_file = tmp_path / "nonexistent.txt"
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file):
result = load_identity()
assert result == ""
def test_truncates_long_identity(self, tmp_path):
identity_file = tmp_path / "identity.txt"
identity_file.write_text(" ".join(["word"] * 300))
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file):
result = load_identity()
assert result.endswith("...")
assert len(result.split()) <= 201 # 200 words + "..."
class TestLoadScratchpad:
def test_loads_valid_scratchpad(self, tmp_path):
scratch_file = tmp_path / "session123.json"
scratch_file.write_text(json.dumps({"note": "test value", "key2": 42}))
with patch("mempalace.retrieval_enforcer.SCRATCHPAD_DIR", tmp_path):
result = load_scratchpad("session123")
assert "note: test value" in result
assert "key2: 42" in result
def test_returns_empty_on_missing_file(self, tmp_path):
with patch("mempalace.retrieval_enforcer.SCRATCHPAD_DIR", tmp_path):
result = load_scratchpad("nonexistent")
assert result == ""
def test_returns_empty_on_invalid_json(self, tmp_path):
scratch_file = tmp_path / "bad.json"
scratch_file.write_text("not valid json{{{")
with patch("mempalace.retrieval_enforcer.SCRATCHPAD_DIR", tmp_path):
result = load_scratchpad("bad")
assert result == ""
class TestEnforceRetrievalOrder:
def test_skips_non_recall_query(self):
result = enforce_retrieval_order("create a new file")
assert result["retrieved_from"] is None
assert result["tokens"] == 0
def test_runs_for_recall_query(self, tmp_path):
identity_file = tmp_path / "identity.txt"
identity_file.write_text("I am Timmy.")
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file), \
patch("mempalace.retrieval_enforcer.search_palace", return_value=""), \
patch("mempalace.retrieval_enforcer.search_gitea", return_value=""), \
patch("mempalace.retrieval_enforcer.search_skills", return_value=""):
result = enforce_retrieval_order("what did we work on yesterday")
assert "Identity" in result["context"]
assert "L0" in result["layers_checked"]
def test_palace_hit_sets_l1(self, tmp_path):
identity_file = tmp_path / "identity.txt"
identity_file.write_text("I am Timmy.")
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file), \
patch("mempalace.retrieval_enforcer.search_palace", return_value="Found: fleet audit results"), \
patch("mempalace.retrieval_enforcer.search_gitea", return_value=""):
result = enforce_retrieval_order("what did we discuss yesterday")
assert result["retrieved_from"] == "L1"
assert "Palace Memory" in result["context"]
def test_falls_through_to_l5(self, tmp_path):
identity_file = tmp_path / "nonexistent.txt"
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file), \
patch("mempalace.retrieval_enforcer.search_palace", return_value=""), \
patch("mempalace.retrieval_enforcer.search_gitea", return_value=""), \
patch("mempalace.retrieval_enforcer.search_skills", return_value=""):
result = enforce_retrieval_order("remember the old deployment", skip_if_not_recall=True)
assert result["retrieved_from"] == "L5"
def test_force_mode_skips_recall_check(self, tmp_path):
identity_file = tmp_path / "identity.txt"
identity_file.write_text("I am Timmy.")
with patch("mempalace.retrieval_enforcer.IDENTITY_PATH", identity_file), \
patch("mempalace.retrieval_enforcer.search_palace", return_value=""), \
patch("mempalace.retrieval_enforcer.search_gitea", return_value=""), \
patch("mempalace.retrieval_enforcer.search_skills", return_value=""):
result = enforce_retrieval_order("deploy now", skip_if_not_recall=False)
assert "Identity" in result["context"]

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"""Tests for scratchpad.py.
Refs: Epic #367, Sub-issue #372
"""
from __future__ import annotations
import json
import os
import sys
from pathlib import Path
from unittest.mock import patch
import pytest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from mempalace.scratchpad import (
write_scratch,
read_scratch,
delete_scratch,
list_sessions,
clear_session,
_scratch_path,
)
@pytest.fixture
def scratch_dir(tmp_path):
"""Provide a temporary scratchpad directory."""
with patch("mempalace.scratchpad.SCRATCHPAD_DIR", tmp_path):
yield tmp_path
class TestScratchPath:
def test_sanitizes_session_id(self):
path = _scratch_path("safe-id_123")
assert "safe-id_123.json" in str(path)
def test_strips_dangerous_chars(self):
path = _scratch_path("../../etc/passwd")
assert ".." not in path.name
assert "/" not in path.name
# Dots are stripped, so only alphanumeric chars remain
assert path.name == "etcpasswd.json"
class TestWriteAndRead:
def test_write_then_read(self, scratch_dir):
write_scratch("sess1", "note", "hello world")
result = read_scratch("sess1", "note")
assert "note" in result
assert result["note"]["value"] == "hello world"
def test_read_all_keys(self, scratch_dir):
write_scratch("sess1", "a", 1)
write_scratch("sess1", "b", 2)
result = read_scratch("sess1")
assert "a" in result
assert "b" in result
def test_read_missing_key(self, scratch_dir):
write_scratch("sess1", "exists", "yes")
result = read_scratch("sess1", "missing")
assert result == {}
def test_read_missing_session(self, scratch_dir):
result = read_scratch("nonexistent")
assert result == {}
def test_overwrite_key(self, scratch_dir):
write_scratch("sess1", "key", "v1")
write_scratch("sess1", "key", "v2")
result = read_scratch("sess1", "key")
assert result["key"]["value"] == "v2"
class TestDelete:
def test_delete_existing_key(self, scratch_dir):
write_scratch("sess1", "key", "val")
assert delete_scratch("sess1", "key") is True
assert read_scratch("sess1", "key") == {}
def test_delete_missing_key(self, scratch_dir):
write_scratch("sess1", "other", "val")
assert delete_scratch("sess1", "missing") is False
class TestListSessions:
def test_lists_sessions(self, scratch_dir):
write_scratch("alpha", "k", "v")
write_scratch("beta", "k", "v")
sessions = list_sessions()
assert "alpha" in sessions
assert "beta" in sessions
def test_empty_directory(self, scratch_dir):
assert list_sessions() == []
class TestClearSession:
def test_clears_existing(self, scratch_dir):
write_scratch("sess1", "k", "v")
assert clear_session("sess1") is True
assert read_scratch("sess1") == {}
def test_clear_nonexistent(self, scratch_dir):
assert clear_session("ghost") is False

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"""Tests for wakeup.py.
Refs: Epic #367, Sub-issue #372
"""
from __future__ import annotations
import json
import os
import sys
import time
from pathlib import Path
from unittest.mock import patch, MagicMock
import pytest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from mempalace.wakeup import (
palace_wakeup,
fleet_status_summary,
_load_identity,
_palace_context,
)
class TestLoadIdentity:
def test_loads_identity(self, tmp_path):
f = tmp_path / "identity.txt"
f.write_text("I am Timmy. A sovereign AI.")
with patch("mempalace.wakeup.IDENTITY_PATH", f):
result = _load_identity()
assert "Timmy" in result
def test_missing_identity(self, tmp_path):
f = tmp_path / "nope.txt"
with patch("mempalace.wakeup.IDENTITY_PATH", f):
assert _load_identity() == ""
class TestFleetStatus:
def test_reads_fleet_json(self, tmp_path):
f = tmp_path / "fleet_status.json"
f.write_text(json.dumps({
"Groq": {"state": "active", "last_seen": "2026-04-07"},
"Ezra": {"state": "idle", "last_seen": "2026-04-06"},
}))
with patch("mempalace.wakeup.FLEET_STATUS_PATH", f):
result = fleet_status_summary()
assert "Fleet Status" in result
assert "Groq" in result
assert "active" in result
def test_missing_fleet_file(self, tmp_path):
f = tmp_path / "nope.json"
with patch("mempalace.wakeup.FLEET_STATUS_PATH", f):
assert fleet_status_summary() == ""
def test_invalid_json(self, tmp_path):
f = tmp_path / "bad.json"
f.write_text("not json")
with patch("mempalace.wakeup.FLEET_STATUS_PATH", f):
assert fleet_status_summary() == ""
class TestPalaceWakeup:
def test_generates_context_with_identity(self, tmp_path):
identity = tmp_path / "identity.txt"
identity.write_text("I am Timmy.")
cache = tmp_path / "cache.txt"
with patch("mempalace.wakeup.IDENTITY_PATH", identity), \
patch("mempalace.wakeup.WAKEUP_CACHE_PATH", cache), \
patch("mempalace.wakeup._palace_context", return_value=""), \
patch("mempalace.wakeup.fleet_status_summary", return_value=""):
result = palace_wakeup(force=True)
assert "Identity" in result
assert "Timmy" in result
assert "Session" in result
def test_uses_cache_when_fresh(self, tmp_path):
cache = tmp_path / "cache.txt"
cache.write_text("cached wake-up content")
# Touch the file so it's fresh
with patch("mempalace.wakeup.WAKEUP_CACHE_PATH", cache), \
patch("mempalace.wakeup.WAKEUP_CACHE_TTL", 9999):
result = palace_wakeup(force=False)
assert result == "cached wake-up content"
def test_force_bypasses_cache(self, tmp_path):
cache = tmp_path / "cache.txt"
cache.write_text("stale content")
identity = tmp_path / "identity.txt"
identity.write_text("I am Timmy.")
with patch("mempalace.wakeup.WAKEUP_CACHE_PATH", cache), \
patch("mempalace.wakeup.IDENTITY_PATH", identity), \
patch("mempalace.wakeup._palace_context", return_value=""), \
patch("mempalace.wakeup.fleet_status_summary", return_value=""):
result = palace_wakeup(force=True)
assert "Identity" in result
assert "stale content" not in result

View File

@@ -0,0 +1,161 @@
"""Wake-up Protocol — session start context injection.
Generates 300-900 tokens of context when a new Hermes session starts.
Loads identity, recent palace context, and fleet status.
Refs: Epic #367, Sub-issue #372
"""
from __future__ import annotations
import json
import os
import subprocess
import time
from pathlib import Path
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
IDENTITY_PATH = Path.home() / ".mempalace" / "identity.txt"
MEMPALACE_BIN = "/Library/Frameworks/Python.framework/Versions/3.12/bin/mempalace"
FLEET_STATUS_PATH = Path.home() / ".hermes" / "fleet_status.json"
WAKEUP_CACHE_PATH = Path.home() / ".hermes" / "last_wakeup.txt"
WAKEUP_CACHE_TTL = 300 # 5 minutes — don't regenerate if recent
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _load_identity() -> str:
"""Read the agent identity file."""
try:
if IDENTITY_PATH.exists():
text = IDENTITY_PATH.read_text(encoding="utf-8").strip()
# Cap at ~150 tokens for wake-up brevity
words = text.split()
if len(words) > 150:
text = " ".join(words[:150]) + "..."
return text
except (OSError, PermissionError):
pass
return ""
def _palace_context() -> str:
"""Run mempalace wake-up command for recent context. Degrades gracefully."""
try:
bin_path = MEMPALACE_BIN if os.path.exists(MEMPALACE_BIN) else "mempalace"
result = subprocess.run(
[bin_path, "wake-up"],
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 CLI not available — degrade gracefully
pass
return ""
def fleet_status_summary() -> str:
"""Read cached fleet status for lightweight session context."""
try:
if FLEET_STATUS_PATH.exists():
data = json.loads(FLEET_STATUS_PATH.read_text(encoding="utf-8"))
lines = ["## Fleet Status"]
if isinstance(data, dict):
for agent, status in data.items():
if isinstance(status, dict):
state = status.get("state", "unknown")
last_seen = status.get("last_seen", "?")
lines.append(f" {agent}: {state} (last: {last_seen})")
else:
lines.append(f" {agent}: {status}")
if len(lines) > 1:
return "\n".join(lines)
except (OSError, json.JSONDecodeError):
pass
return ""
def _check_cache() -> str:
"""Return cached wake-up if fresh enough."""
try:
if WAKEUP_CACHE_PATH.exists():
age = time.time() - WAKEUP_CACHE_PATH.stat().st_mtime
if age < WAKEUP_CACHE_TTL:
return WAKEUP_CACHE_PATH.read_text(encoding="utf-8").strip()
except OSError:
pass
return ""
def _write_cache(content: str) -> None:
"""Cache the wake-up content."""
try:
WAKEUP_CACHE_PATH.parent.mkdir(parents=True, exist_ok=True)
WAKEUP_CACHE_PATH.write_text(content, encoding="utf-8")
except OSError:
pass
# ---------------------------------------------------------------------------
# Main entry point
# ---------------------------------------------------------------------------
def palace_wakeup(force: bool = False) -> str:
"""Generate wake-up context for a new session. ~300-900 tokens.
Args:
force: If True, bypass the 5-minute cache and regenerate.
Returns:
Formatted context string suitable for prepending to the system prompt.
"""
# Check cache first (avoids redundant work on rapid session restarts)
if not force:
cached = _check_cache()
if cached:
return cached
parts = []
# L0: Identity
identity = _load_identity()
if identity:
parts.append(f"## Identity\n{identity}")
# L1: Recent palace context
palace = _palace_context()
if palace:
parts.append(palace)
# Fleet status (lightweight)
fleet = fleet_status_summary()
if fleet:
parts.append(fleet)
# Timestamp
parts.append(f"## Session\nWake-up generated: {time.strftime('%Y-%m-%d %H:%M:%S')}")
content = "\n\n".join(parts)
# Cache for TTL
_write_cache(content)
return content
# ---------------------------------------------------------------------------
# CLI entry point for testing
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print(palace_wakeup(force=True))

526
scripts/kaizen_retro.py Normal file
View File

@@ -0,0 +1,526 @@
#!/usr/bin/env python3
"""
Kaizen Retro — Automated retrospective after every burn cycle.
Reads overnight Gitea activity, fleet state, and loop logs.
Generates ONE concrete improvement suggestion and posts it.
Usage:
python3 scripts/kaizen_retro.py [--dry-run]
"""
from __future__ import annotations
import argparse
import json
import os
import sys
import urllib.error
import urllib.request
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Optional
# Ensure repo root is on path so we can import gitea_client
REPO_ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(REPO_ROOT))
from gitea_client import GiteaClient, GiteaError
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
REPOS = [
"Timmy_Foundation/the-nexus",
"Timmy_Foundation/timmy-config",
"Timmy_Foundation/timmy-home",
"Timmy_Foundation/the-door",
"Timmy_Foundation/turboquant",
"Timmy_Foundation/hermes-agent",
"Timmy_Foundation/.profile",
]
HERMES_HOME = Path.home() / ".hermes"
TIMMY_HOME = Path.home() / ".timmy"
WORKFORCE_STATE_PATH = HERMES_HOME / "workforce-state.json"
FLEET_ROUTING_PATH = HERMES_HOME / "fleet-routing.json"
CHANNEL_DIR_PATH = REPO_ROOT / "channel_directory.json"
REPORTS_DIR = REPO_ROOT / "reports"
MORNING_REPORT_REPO = "Timmy_Foundation/timmy-config"
TELEGRAM_BOT_TOKEN = os.environ.get("TELEGRAM_BOT_TOKEN")
TELEGRAM_CHAT_ID = os.environ.get("TELEGRAM_HOME_CHANNEL", "-1003664764329")
TELEGRAM_MAX_LEN = 4000 # leave headroom below the 4096 hard limit
STALE_DAYS = 7
MAX_ATTEMPT_COMMENT_THRESHOLD = 5
ISSUE_TYPE_KEYWORDS = {
"bug": ["bug", "fix", "crash", "error", "regression", "broken"],
"feature": ["feature", "implement", "add", "support", "enable"],
"docs": ["doc", "readme", "wiki", "guide", "documentation"],
"kaizen": ["kaizen", "retro", "improvement", "continuous"],
"devops": ["deploy", "ci", "cd", "docker", "server", "infra"],
}
BLOCKER_LABELS = {"blocked", "timeout", "stale", "help wanted", "wontfix", "duplicate"}
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def load_json(path: Path) -> Any:
if not path.exists():
return None
with open(path) as f:
return json.load(f)
def iso_day_ago(days: int = 1) -> str:
return (datetime.now(timezone.utc) - timedelta(days=days)).isoformat()
def classify_issue_type(issue: dict) -> str:
title = (issue.get("title", "") or "").lower()
body = (issue.get("body", "") or "").lower()
labels = [l.get("name", "").lower() for l in issue.get("labels", []) or []]
text = f"{title} {body} {' '.join(labels)}"
words = set(text.split())
best = "other"
best_score = 0
for kind, keywords in ISSUE_TYPE_KEYWORDS.items():
# Short keywords (<=3 chars) require whole-word match to avoid false positives like
# "ci" inside "cleanup" or "cd" inside "abcde".
score = sum(
1 for kw in keywords
if (len(kw) <= 3 and kw in words) or (len(kw) > 3 and kw in text)
)
# label match is stronger
for label in labels:
label_words = set(label.split())
if any(
(len(kw) <= 3 and kw in label_words) or (len(kw) > 3 and kw in label)
for kw in keywords
):
score += 3
if score > best_score:
best_score = score
best = kind
return best
def is_max_attempts_candidate(issue: dict) -> bool:
"""Heuristic for issues that consumed excessive attempts."""
labels = {l.get("name", "").lower() for l in issue.get("labels", []) or []}
if labels & BLOCKER_LABELS:
return True
if issue.get("comments", 0) >= MAX_ATTEMPT_COMMENT_THRESHOLD:
return True
created = issue.get("created_at")
if created:
try:
created_dt = datetime.fromisoformat(created.replace("Z", "+00:00"))
if datetime.now(timezone.utc) - created_dt > timedelta(days=STALE_DAYS):
return True
except Exception:
pass
return False
def telegram_send(text: str, bot_token: str, chat_id: str) -> list[dict]:
"""Post text to Telegram, chunking if it exceeds the message limit."""
url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
chunks = []
if len(text) <= TELEGRAM_MAX_LEN:
chunks = [text]
else:
# Split on newlines to preserve readability
lines = text.splitlines(keepends=True)
current = ""
for line in lines:
if len(current) + len(line) > TELEGRAM_MAX_LEN:
if current:
chunks.append(current)
current = line
else:
current += line
if current:
chunks.append(current)
results = []
for i, chunk in enumerate(chunks):
prefix = f"*(part {i + 1}/{len(chunks)})*\n" if len(chunks) > 1 else ""
payload = {"chat_id": chat_id, "text": prefix + chunk, "parse_mode": "Markdown"}
data = json.dumps(payload).encode()
req = urllib.request.Request(url, data=data, headers={"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=30) as resp:
results.append(json.loads(resp.read().decode()))
return results
def find_latest_morning_report_issue(client: GiteaClient) -> Optional[int]:
try:
issues = client.list_issues(MORNING_REPORT_REPO, state="open", sort="created", direction="desc", limit=20)
for issue in issues:
if "good morning report" in issue.title.lower() or "morning report" in issue.title.lower():
return issue.number
# fallback to closed
issues = client.list_issues(MORNING_REPORT_REPO, state="closed", sort="created", direction="desc", limit=20)
for issue in issues:
if "good morning report" in issue.title.lower() or "morning report" in issue.title.lower():
return issue.number
except Exception:
pass
return None
def fmt_pct(num: float, den: float) -> str:
if den == 0:
return "N/A"
return f"{num/den:.0%}"
# ---------------------------------------------------------------------------
# Analysis
# ---------------------------------------------------------------------------
def gather_metrics(client: GiteaClient, since: str) -> dict:
"""Collect overnight metrics from Gitea."""
metrics = {
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
"open_issues": [],
"max_attempts_issues": [],
"by_agent": {},
"by_repo": {},
"by_type": {},
}
for repo in REPOS:
repo_short = repo.split("/")[1]
metrics["by_repo"][repo_short] = {
"closed": 0,
"merged_prs": 0,
"closed_prs": 0,
"open": 0,
"max_attempts": 0,
"successes": 0,
"failures": 0,
}
# Closed issues since window
try:
closed = client.list_issues(repo, state="closed", since=since, sort="updated", direction="desc", limit=100)
for issue in closed:
issue_dict = {
"number": issue.number,
"title": issue.title,
"repo": repo_short,
"type": classify_issue_type({"title": issue.title, "body": issue.body, "labels": [{"name": lb.name} for lb in issue.labels]}),
"assignee": issue.assignees[0].login if issue.assignees else "unassigned",
}
metrics["closed_issues"].append(issue_dict)
metrics["by_repo"][repo_short]["closed"] += 1
metrics["by_repo"][repo_short]["successes"] += 1
agent = issue_dict["assignee"]
if agent not in metrics["by_agent"]:
metrics["by_agent"][agent] = {"successes": 0, "failures": 0, "closed": 0, "repos": set()}
metrics["by_agent"][agent]["successes"] += 1
metrics["by_agent"][agent]["closed"] += 1
metrics["by_agent"][agent]["repos"].add(repo_short)
t = issue_dict["type"]
if t not in metrics["by_type"]:
metrics["by_type"][t] = {"successes": 0, "failures": 0, "total": 0}
metrics["by_type"][t]["successes"] += 1
metrics["by_type"][t]["total"] += 1
except Exception as exc:
print(f"Warning: could not load closed issues for {repo}: {exc}", file=sys.stderr)
# Open issues (for stale / max-attempts detection)
try:
open_issues = client.list_issues(repo, state="open", sort="created", direction="desc", limit=100)
metrics["by_repo"][repo_short]["open"] = len(open_issues)
for issue in open_issues:
issue_raw = {
"number": issue.number,
"title": issue.title,
"labels": [{"name": lb.name} for lb in issue.labels],
"comments": issue.comments,
"created_at": issue.created_at,
}
if is_max_attempts_candidate(issue_raw):
metrics["max_attempts_issues"].append({
"number": issue.number,
"title": issue.title,
"repo": repo_short,
"type": classify_issue_type({"title": issue.title, "body": issue.body, "labels": issue_raw["labels"]}),
"assignee": issue.assignees[0].login if issue.assignees else "unassigned",
})
metrics["by_repo"][repo_short]["max_attempts"] += 1
metrics["by_repo"][repo_short]["failures"] += 1
agent = issue.assignees[0].login if issue.assignees else "unassigned"
if agent not in metrics["by_agent"]:
metrics["by_agent"][agent] = {"successes": 0, "failures": 0, "closed": 0, "repos": set()}
metrics["by_agent"][agent]["failures"] += 1
metrics["by_agent"][agent]["repos"].add(repo_short)
t = classify_issue_type({"title": issue.title, "body": issue.body, "labels": issue_raw["labels"]})
if t not in metrics["by_type"]:
metrics["by_type"][t] = {"successes": 0, "failures": 0, "total": 0}
metrics["by_type"][t]["failures"] += 1
metrics["by_type"][t]["total"] += 1
except Exception as exc:
print(f"Warning: could not load open issues for {repo}: {exc}", file=sys.stderr)
# PRs merged / closed since window (filter client-side; Gitea PR API ignores since)
try:
prs = client.list_pulls(repo, state="closed", sort="updated", limit=100)
since_dt = datetime.fromisoformat(since.replace("Z", "+00:00"))
for pr in prs:
updated = pr.updated_at or pr.created_at or ""
try:
updated_dt = datetime.fromisoformat(updated.replace("Z", "+00:00"))
if updated_dt < since_dt:
continue
except Exception:
pass
if pr.merged:
metrics["merged_prs"].append({
"number": pr.number,
"title": pr.title,
"repo": repo_short,
"user": pr.user.login if pr.user else "unknown",
})
metrics["by_repo"][repo_short]["merged_prs"] += 1
else:
metrics["closed_prs"].append({
"number": pr.number,
"title": pr.title,
"repo": repo_short,
"user": pr.user.login if pr.user else "unknown",
})
metrics["by_repo"][repo_short]["closed_prs"] += 1
except Exception as exc:
print(f"Warning: could not load PRs for {repo}: {exc}", file=sys.stderr)
# Convert sets to lists for JSON serialization
for agent in metrics["by_agent"].values():
agent["repos"] = sorted(agent["repos"])
return metrics
def load_workforce_state() -> dict:
return load_json(WORKFORCE_STATE_PATH) or {}
def load_fleet_routing() -> list[dict]:
data = load_json(FLEET_ROUTING_PATH)
if data and "agents" in data:
return data["agents"]
return []
def generate_suggestion(metrics: dict, fleet: list[dict]) -> str:
"""Generate ONE concrete improvement suggestion based on the data."""
by_agent = metrics["by_agent"]
by_repo = metrics["by_repo"]
by_type = metrics["by_type"]
max_attempts = metrics["max_attempts_issues"]
suggestions: list[str] = []
# 1. Agent with poor repo performance
for agent, stats in by_agent.items():
total = stats["successes"] + stats["failures"]
if total >= 3 and stats["successes"] == 0:
repos = ", ".join(stats["repos"])
suggestions.append(
f"🎯 **{agent}** has a 0% verify rate over the last cycle (0/{total}) on repos: {repos}. "
f"Consider removing these repos from {agent}'s routing or providing targeted onboarding."
)
# 2. Repo with highest failure concentration
repo_failures = [(r, s) for r, s in by_repo.items() if s["failures"] > 0]
if repo_failures:
repo_failures.sort(key=lambda x: x[1]["failures"], reverse=True)
worst_repo, worst_stats = repo_failures[0]
total_repo = worst_stats["successes"] + worst_stats["failures"]
if worst_stats["failures"] >= 2:
suggestions.append(
f"🎯 **{worst_repo}** has the most friction ({worst_stats['failures']} blocked/stale issues, "
f"{fmt_pct(worst_stats['successes'], total_repo)} success). "
f"Consider splitting issues in {worst_repo} into smaller chunks or assigning a stronger agent."
)
# 3. Max-attempts pattern
if len(max_attempts) >= 3:
type_counts: dict[str, int] = {}
for issue in max_attempts:
type_counts[issue["type"]] = type_counts.get(issue["type"], 0) + 1
top_type = max(type_counts, key=type_counts.get) if type_counts else "unknown"
suggestions.append(
f"🎯 **{len(max_attempts)} issues** hit max-attempts or went stale. "
f"The dominant type is **{top_type}**. "
f"Consider adding acceptance criteria templates or pre-flight checklists for {top_type} issues."
)
# 4. Issue type disparity
for t, stats in by_type.items():
total = stats["total"]
if total >= 3 and stats["successes"] == 0:
suggestions.append(
f"🎯 **{t}** issues have a 0% closure rate ({stats['failures']} stale). "
f"Consider routing all {t} issues to a specialist agent or creating a dedicated playbook."
)
# 5. Fleet routing gap (if fleet data exists)
active_agents = {a["name"] for a in fleet if a.get("active")}
assigned_agents = set(by_agent.keys())
idle_agents = active_agents - assigned_agents - {"unassigned"}
if len(idle_agents) >= 2:
suggestions.append(
f"🎯 **{len(idle_agents)} active agents** have no assignments this cycle: {', '.join(idle_agents)}. "
f"Consider expanding their repo lists or investigating why they aren't receiving work."
)
if suggestions:
return suggestions[0]
# Fallback: celebrate or nudge
total_closed = len(metrics["closed_issues"])
total_merged = len(metrics["merged_prs"])
if total_closed >= 5 or total_merged >= 3:
return (
f"🎯 Strong cycle: {total_closed} issues closed, {total_merged} PRs merged. "
f"Next improvement: write down the top 3 patterns that made this cycle successful so we can replicate them."
)
return (
"🎯 Low activity this cycle. Next improvement: ensure at least one agent loop is actively polling "
"for unassigned issues so work doesn't sit idle."
)
def build_report(metrics: dict, suggestion: str, since: str) -> str:
now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC")
period = since[:10]
lines = [
f"# 🌀 Kaizen Retro — {now}",
f"*Period: {period} → now*\n",
"## Numbers",
f"- **Issues closed:** {len(metrics['closed_issues'])}",
f"- **PRs merged:** {len(metrics['merged_prs'])}",
f"- **PRs closed without merge:** {len(metrics['closed_prs'])}",
f"- **Max-attempts / stale issues:** {len(metrics['max_attempts_issues'])}",
"",
"## By Agent",
]
for agent, stats in sorted(metrics["by_agent"].items(), key=lambda x: x[1]["successes"] + x[1]["failures"], reverse=True):
total = stats["successes"] + stats["failures"]
rate = fmt_pct(stats["successes"], total)
lines.append(f"- **{agent}**: {stats['successes']} closed, {stats['failures']} stale / max-attempts — verify rate {rate}")
lines.extend(["", "## By Repo"])
for repo, stats in sorted(metrics["by_repo"].items(), key=lambda x: x[1]["successes"] + x[1]["failures"], reverse=True):
total = stats["successes"] + stats["failures"]
if total == 0 and stats["open"] == 0:
continue
rate = fmt_pct(stats["successes"], total)
lines.append(
f"- **{repo}**: {stats['successes']} closed, {stats['failures']} stale, {stats['open']} open — verify rate {rate}"
)
lines.extend(["", "## By Issue Type"])
for t, stats in sorted(metrics["by_type"].items(), key=lambda x: x[1]["total"], reverse=True):
total = stats["total"]
rate = fmt_pct(stats["successes"], total)
lines.append(f"- **{t}**: {stats['successes']} closed, {stats['failures']} stale — verify rate {rate}")
if metrics["max_attempts_issues"]:
lines.extend(["", "## Max-Attempts / Stale Issues"])
for issue in metrics["max_attempts_issues"][:10]:
lines.append(f"- {issue['repo']}#{issue['number']} ({issue['type']}, assignee: {issue['assignee']}) — {issue['title']}")
if len(metrics["max_attempts_issues"]) > 10:
lines.append(f"- … and {len(metrics['max_attempts_issues']) - 10} more")
lines.extend(["", "## One Concrete Improvement", suggestion, ""])
return "\n".join(lines)
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
def main() -> int:
parser = argparse.ArgumentParser(description="Kaizen Retro — automated burn-cycle retrospective")
parser.add_argument("--dry-run", action="store_true", help="Print report but do not post")
parser.add_argument("--since", type=str, help="ISO timestamp for lookback window (default: 24h ago)")
parser.add_argument("--post-to", type=str, help="Override Telegram chat ID")
args = parser.parse_args()
since = args.since or iso_day_ago(1)
client = GiteaClient()
print("Gathering metrics since", since)
metrics = gather_metrics(client, since)
fleet = load_fleet_routing()
suggestion = generate_suggestion(metrics, fleet)
report = build_report(metrics, suggestion, since)
print(report)
# Save JSON snapshot
REPORTS_DIR.mkdir(parents=True, exist_ok=True)
snapshot_path = REPORTS_DIR / f"kaizen-retro-{datetime.now(timezone.utc).strftime('%Y%m%d')}.json"
snapshot = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"since": since,
"metrics": metrics,
"suggestion": suggestion,
"report_markdown": report,
}
with open(snapshot_path, "w") as f:
json.dump(snapshot, f, indent=2)
print(f"\nSnapshot saved to {snapshot_path}")
if args.dry_run:
return 0
# Post to Telegram
chat_id = args.post_to or TELEGRAM_CHAT_ID
bot_token = TELEGRAM_BOT_TOKEN
if bot_token and chat_id:
try:
telegram_send(report, bot_token, chat_id)
print("Posted to Telegram.")
except Exception as exc:
print(f"Failed to post to Telegram: {exc}", file=sys.stderr)
else:
print("Telegram not configured (set TELEGRAM_BOT_TOKEN and TELEGRAM_HOME_CHANNEL).", file=sys.stderr)
# Comment on latest morning report issue
morning_issue = find_latest_morning_report_issue(client)
if morning_issue:
try:
client.create_comment(MORNING_REPORT_REPO, morning_issue, report)
print(f"Commented on morning report issue #{morning_issue}.")
except Exception as exc:
print(f"Failed to comment on morning report issue: {exc}", file=sys.stderr)
else:
print("No morning report issue found to comment on.", file=sys.stderr)
return 0
if __name__ == "__main__":
sys.exit(main())

112
tasks.py
View File

@@ -1860,22 +1860,56 @@ def good_morning_report():
except Exception:
pass
# Genchi Genbutsu: count verified completions from the last 24h
verified_completions = 0
raw_completions = 0
metrics_dir = Path.home() / ".hermes" / "logs"
for metrics_file in metrics_dir.glob("*-metrics.jsonl"):
try:
with open(metrics_file) as mf:
for line in mf:
line = line.strip()
if not line:
continue
try:
row = json.loads(line)
except json.JSONDecodeError:
continue
ts = row.get("ts", "")
if not ts:
continue
try:
from datetime import datetime as _dt, timezone as _tz, timedelta as _td
row_time = _dt.fromisoformat(ts.replace("Z", "+00:00"))
if (now - row_time) > _td(hours=24):
continue
except Exception:
continue
if row.get("outcome") != "success":
continue
raw_completions += 1
if row.get("verified") is True:
verified_completions += 1
except Exception:
pass
# --- BUILD THE REPORT ---
body = f"""Good morning, Alexander. It's {day_name}.
## Overnight Debrief
**Heartbeat:** {tick_count} ticks logged overnight.
**Gitea:** {"up all night" if gitea_up else "⚠️ had downtime"}
**Local inference:** {"running steady" if local_inference_up else "⚠️ had downtime"}
**Model status:** {model_status}
**Models on disk:** {len(models_loaded)} ({', '.join(m for m in models_loaded if 'timmy' in m.lower() or 'hermes' in m.lower()) or 'none with our name'})
**Alerts:** {len(alerts)} {'' + '; '.join(alerts[-3:]) if alerts else '(clean night)'}
|**Heartbeat:** {tick_count} ticks logged overnight.
|**Gitea:** {"up all night" if gitea_up else "⚠️ had downtime"}
|**Local inference:** {"running steady" if local_inference_up else "⚠️ had downtime"}
|**Model status:** {model_status}
|**Models on disk:** {len(models_loaded)} ({', '.join(m for m in models_loaded if 'timmy' in m.lower() or 'hermes' in m.lower()) or 'none with our name'})
|**Alerts:** {len(alerts)} {'' + '; '.join(alerts[-3:]) if alerts else '(clean night)'}
{briefing_summary}
**DPO training pairs staged:** {dpo_count} session files exported
**Local model smoke test:** {smoke_result}
**Verified completions (24h):** {verified_completions} {'(Genchi Genbutsu clean)' if verified_completions == raw_completions else f'({raw_completions - verified_completions} raw completions failed verification)'}
## Gitea Pulse
@@ -1915,6 +1949,29 @@ That's all. Have a good morning.
return {"filed": False, "error": str(e)}
# ── NEW 6b: Kaizen Retro ─────────────────────────────────────────────
@huey.periodic_task(crontab(hour="7", minute="15")) # 7:15 AM daily, after morning report
def kaizen_retro():
"""Run the automated burn-cycle retrospective."""
retro_script = Path(__file__).resolve().parent / "bin" / "kaizen-retro.sh"
if not retro_script.exists():
return {"ran": False, "error": "kaizen-retro.sh not found"}
result = subprocess.run(
["bash", str(retro_script)],
capture_output=True,
text=True,
timeout=300,
)
return {
"ran": True,
"exit_code": result.returncode,
"stdout": result.stdout[-2000:] if result.stdout else "",
"stderr": result.stderr[-1000:] if result.stderr else "",
}
# ── NEW 7: Repo Watchdog ─────────────────────────────────────────────
@huey.periodic_task(crontab(minute="*/20")) # every 20 minutes
@@ -2323,7 +2380,38 @@ def velocity_tracking():
total_open += open_n
total_closed += closed_n
results.append({"repo": repo, "open": open_n, "closed": closed_n, "date": today})
data = {"date": today, "repos": results, "total_open": total_open, "total_closed": total_closed}
# Genchi Genbutsu: count verified completions from agent metrics
verified_completions = 0
raw_completions = 0
metrics_dir = Path.home() / ".hermes" / "logs"
for metrics_file in metrics_dir.glob("*-metrics.jsonl"):
try:
with open(metrics_file) as mf:
for line in mf:
line = line.strip()
if not line:
continue
try:
row = json.loads(line)
except json.JSONDecodeError:
continue
if row.get("outcome") != "success":
continue
raw_completions += 1
if row.get("verified") is True:
verified_completions += 1
except Exception:
pass
data = {
"date": today,
"repos": results,
"total_open": total_open,
"total_closed": total_closed,
"raw_completions": raw_completions,
"verified_completions": verified_completions,
}
with open(report_file, "w") as f:
json.dump(data, f, indent=2)
# Dashboard
@@ -2333,14 +2421,16 @@ def velocity_tracking():
for r in results:
f.write(f"| {r['repo'].split('/')[-1]} | {r['open']} | {r['closed']} |\n")
f.write(f"| **TOTAL** | **{total_open}** | **{total_closed}** |\n\n")
f.write(f"**Verified completions (Genchi Genbutsu):** {verified_completions}\n")
f.write(f"**Raw completions:** {raw_completions}\n\n")
# Trend
prior = sorted(glob.glob(os.path.join(report_dir, "velocity-*.json")))
if len(prior) > 1:
f.write("## Recent Trend\n\n| Date | Total Open | Total Closed |\n|---|---|---|\n")
f.write("## Recent Trend\n\n| Date | Total Open | Total Closed | Verified |\n|---|---|---|---|\n")
for pf in prior[-10:]:
pd = json.load(open(pf))
f.write(f"| {pd['date']} | {pd['total_open']} | {pd['total_closed']} |\n")
msg = f"Velocity: {total_open} open, {total_closed} closed ({today})"
f.write(f"| {pd['date']} | {pd['total_open']} | {pd['total_closed']} | {pd.get('verified_completions', '-')} |\n")
msg = f"Velocity: {total_open} open, {total_closed} closed, {verified_completions} verified ({today})"
if len(prior) > 1:
prev = json.load(open(prior[-2]))
if total_open > prev["total_open"]:

283
tests/test_kaizen_retro.py Normal file
View File

@@ -0,0 +1,283 @@
"""Tests for the Kaizen Retro burn-cycle retrospective script."""
from __future__ import annotations
import importlib.util
import json
import sys
from datetime import datetime, timedelta, timezone
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
REPO_ROOT = Path(__file__).parent.parent
# Load kaizen_retro.py as a module (it lives in scripts/, not a package)
spec = importlib.util.spec_from_file_location("kaizen_retro", REPO_ROOT / "scripts" / "kaizen_retro.py")
kr = importlib.util.module_from_spec(spec)
spec.loader.exec_module(kr)
# ── classify_issue_type ───────────────────────────────────────────────────
class TestClassifyIssueType:
def test_classifies_bug_from_title(self):
issue = {"title": "Fix crash on startup", "body": "", "labels": []}
assert kr.classify_issue_type(issue) == "bug"
def test_classifies_feature_from_label(self):
issue = {"title": "Add dark mode", "body": "", "labels": [{"name": "enhancement"}]}
# label "enhancement" doesn't match any keyword directly, but "feature" and "add" are in title
assert kr.classify_issue_type(issue) == "feature"
def test_classifies_docs_from_label(self):
issue = {"title": "Update guide", "body": "", "labels": [{"name": "documentation"}]}
assert kr.classify_issue_type(issue) == "docs"
def test_label_match_stronger_than_title(self):
issue = {"title": "Something random", "body": "", "labels": [{"name": "bug"}]}
assert kr.classify_issue_type(issue) == "bug"
def test_kaizen_takes_precedence_with_both_labels(self):
issue = {"title": "Process improvement", "body": "", "labels": [{"name": "kaizen"}, {"name": "bug"}]}
# kaizen label gives +3, bug gives +3, tie goes to first seen? kaizen appears first in dict
assert kr.classify_issue_type(issue) == "kaizen"
def test_defaults_to_other(self):
issue = {"title": "Tidy up naming", "body": "No user-facing change", "labels": [{"name": "cleanup"}]}
assert kr.classify_issue_type(issue) == "other"
# ── is_max_attempts_candidate ─────────────────────────────────────────────
class TestIsMaxAttemptsCandidate:
def test_blocker_label_returns_true(self):
issue = {"labels": [{"name": "blocked"}], "comments": 0, "created_at": "2026-04-07T00:00:00Z"}
assert kr.is_max_attempts_candidate(issue) is True
def test_timeout_label_returns_true(self):
issue = {"labels": [{"name": "timeout"}], "comments": 0, "created_at": "2026-04-07T00:00:00Z"}
assert kr.is_max_attempts_candidate(issue) is True
def test_high_comment_count_returns_true(self):
issue = {"labels": [], "comments": 5, "created_at": "2026-04-07T00:00:00Z"}
assert kr.is_max_attempts_candidate(issue) is True
def test_fresh_issue_with_low_comments_returns_false(self):
now = datetime.now(timezone.utc)
issue = {"labels": [], "comments": 2, "created_at": now.isoformat()}
assert kr.is_max_attempts_candidate(issue) is False
def test_stale_age_returns_true(self):
old = datetime.now(timezone.utc) - timedelta(days=10)
issue = {"labels": [], "comments": 0, "created_at": old.isoformat()}
assert kr.is_max_attempts_candidate(issue) is True
# ── fmt_pct ───────────────────────────────────────────────────────────────
class TestFmtPct:
def test_basic_percentage(self):
assert kr.fmt_pct(3, 4) == "75%"
def test_zero_denominator(self):
assert kr.fmt_pct(0, 0) == "N/A"
def test_perfect_rate(self):
assert kr.fmt_pct(10, 10) == "100%"
# ── generate_suggestion ───────────────────────────────────────────────────
class TestGenerateSuggestion:
def test_agent_zero_success_rate(self):
metrics = {
"by_agent": {
"groq": {"successes": 0, "failures": 5, "closed": 0, "repos": ["timmy-home"]},
},
"by_repo": {},
"by_type": {},
"max_attempts_issues": [],
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
}
suggestion = kr.generate_suggestion(metrics, [])
assert "groq" in suggestion
assert "0%" in suggestion or "verify rate" in suggestion
def test_repo_with_most_failures(self):
metrics = {
"by_agent": {},
"by_repo": {
"the-nexus": {"successes": 2, "failures": 5, "closed": 2, "open": 3},
},
"by_type": {},
"max_attempts_issues": [],
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
}
suggestion = kr.generate_suggestion(metrics, [])
assert "the-nexus" in suggestion
assert "friction" in suggestion
def test_max_attempts_pattern(self):
metrics = {
"by_agent": {},
"by_repo": {},
"by_type": {},
"max_attempts_issues": [
{"type": "devops"}, {"type": "devops"}, {"type": "feature"}
],
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
}
suggestion = kr.generate_suggestion(metrics, [])
assert "devops" in suggestion
assert "max-attempts" in suggestion.lower() or "stale" in suggestion.lower()
def test_idle_agents(self):
metrics = {
"by_agent": {},
"by_repo": {},
"by_type": {},
"max_attempts_issues": [],
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
}
fleet = [{"name": "allegro", "active": True}, {"name": "ezra", "active": True}]
suggestion = kr.generate_suggestion(metrics, fleet)
assert "idle" in suggestion.lower() or "no assignments" in suggestion.lower()
def test_fallback_celebration(self):
metrics = {
"by_agent": {},
"by_repo": {},
"by_type": {},
"max_attempts_issues": [],
"closed_issues": [{}, {}, {}, {}, {}],
"merged_prs": [{}, {}, {}],
"closed_prs": [],
}
suggestion = kr.generate_suggestion(metrics, [])
assert "Strong cycle" in suggestion
def test_fallback_low_activity(self):
metrics = {
"by_agent": {},
"by_repo": {},
"by_type": {},
"max_attempts_issues": [],
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
}
suggestion = kr.generate_suggestion(metrics, [])
assert "Low activity" in suggestion or "idle" in suggestion.lower()
# ── build_report ──────────────────────────────────────────────────────────
class TestBuildReport:
def test_report_contains_numbers_section(self):
metrics = {
"closed_issues": [{}, {}],
"merged_prs": [{}],
"closed_prs": [],
"max_attempts_issues": [],
"by_agent": {"ezra": {"successes": 2, "failures": 0, "repos": ["timmy-config"]}},
"by_repo": {"timmy-config": {"successes": 2, "failures": 0, "open": 1}},
"by_type": {"feature": {"successes": 2, "failures": 0, "total": 2}},
}
report = kr.build_report(metrics, "Do better.", "2026-04-06T00:00:00+00:00")
assert "## Numbers" in report
assert "Issues closed:** 2" in report
assert "PRs merged:** 1" in report
assert "## By Agent" in report
assert "## By Repo" in report
assert "## By Issue Type" in report
assert "Do better." in report
def test_report_skips_empty_repos(self):
metrics = {
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
"max_attempts_issues": [],
"by_agent": {},
"by_repo": {"unused-repo": {"successes": 0, "failures": 0, "open": 0}},
"by_type": {},
}
report = kr.build_report(metrics, "Nudge.", "2026-04-06T00:00:00+00:00")
assert "unused-repo" not in report
def test_report_truncates_max_attempts(self):
metrics = {
"closed_issues": [],
"merged_prs": [],
"closed_prs": [],
"max_attempts_issues": [{"repo": "r", "number": i, "type": "bug", "assignee": "a", "title": f"T{i}"} for i in range(15)],
"by_agent": {},
"by_repo": {},
"by_type": {},
}
report = kr.build_report(metrics, "Fix it.", "2026-04-06T00:00:00+00:00")
assert "and 5 more" in report
# ── telegram_send ─────────────────────────────────────────────────────────
class TestTelegramSend:
def test_short_message_sent_in_one_piece(self):
with patch("urllib.request.urlopen") as mock_urlopen:
mock_resp = MagicMock()
mock_resp.read.return_value = b'{"ok": true}'
mock_urlopen.return_value.__enter__.return_value = mock_resp
results = kr.telegram_send("Hello", "fake-token", "123")
assert len(results) == 1
assert results[0]["ok"] is True
# Verify payload
call_args = mock_urlopen.call_args
req = call_args[0][0]
payload = json.loads(req.data.decode())
assert payload["text"] == "Hello"
assert payload["chat_id"] == "123"
def test_long_message_chunked(self):
big_text = "Line\n" * 2000 # ~10k chars
with patch("urllib.request.urlopen") as mock_urlopen:
mock_resp = MagicMock()
mock_resp.read.return_value = b'{"ok": true}'
mock_urlopen.return_value.__enter__.return_value = mock_resp
results = kr.telegram_send(big_text, "fake-token", "123")
assert len(results) >= 2
# First chunk should have a part prefix
req = mock_urlopen.call_args_list[0][0][0]
payload = json.loads(req.data.decode())
assert "(part 1" in payload["text"]
# ── load helpers ──────────────────────────────────────────────────────────
class TestLoadHelpers:
def test_load_json_missing_returns_none(self, tmp_path):
missing = tmp_path / "does_not_exist.json"
assert kr.load_json(missing) is None
def test_load_json_valid(self, tmp_path):
p = tmp_path / "data.json"
p.write_text('{"a": 1}')
assert kr.load_json(p) == {"a": 1}
def test_iso_day_ago_format(self):
s = kr.iso_day_ago(1)
# Should be a valid ISO timestamp string
dt = datetime.fromisoformat(s)
now = datetime.now(timezone.utc)
assert now - dt < timedelta(days=2)