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GH-2222: feat(executor): add periodic stale task recovery to dispatcher
- Add `GetStaleQueuedExecutions` to memory store for orphaned queued tasks - Expand `DispatcherConfig` with `StaleQueuedDuration` (1h) and `StaleRecoveryInterval` (5m) - Rewrite `recoverStaleTasks()` to handle both running and queued orphans, marking them as "failed" instead of re-queuing (re-queuing without a worker just recreates the orphan) - Add `runStaleRecoveryLoop` goroutine launched from `Start(ctx)` - Change `Start()` to accept `context.Context`, update callers in main.go - Add summary log on every recovery pass (even when 0) for GH-2213 diagnosability - Add tests: TestRecoverStaleTasks_QueuedAndRunning, TestRecoverStaleTasks_RespectsThresholds, TestRunStaleRecoveryLoop_Periodic, TestQueueTask_AfterRecovery
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‎.agent/sops/alert-deduplication-pattern.md‎

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# SOP: Alert Deduplication — Per-Rule vs Per-Source
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**Created:** 2026-04-06 (after GH-2204, v2.90.1)
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**Applies to:** `internal/alerts/engine.go` and any rule that fans out over a collection of sources (tasks, PRs, projects, files).
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## The trap
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When a single alert rule evaluates many candidate sources (tasks, PRs, files…), gating with a **global per-rule cooldown** silently drops alerts from all-but-one source per cooldown window.
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The classic symptom: alerts appear at exactly `ticker_interval + cooldown` intervals, rotating through different source IDs forever (Go map iteration is randomized, so the "rotation" looks arbitrary).
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This is what GH-2204 looked like in Slack:
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```
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1:07 Task GH-273 stuck for 23m
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1:23 Task GH-273 stuck for 39m ← 16 min later (1m ticker + 15m cooldown)
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1:39 Task GH-275 stuck for 36m
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1:55 Task GH-41 stuck for 40m
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...
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```
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## The pattern
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When a rule fans out over N sources, dedup must be **per source**, not per rule:
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```go
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// WRONG — per-rule cooldown gates per-source iteration
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for _, src := range sources {
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if shouldFire(rule) { // global key: rule.Name
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fireAlert(rule, src)
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}
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}
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// RIGHT — per-source dedup
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for _, src := range sources {
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if now.Sub(src.LastAlertedAt) >= rule.Cooldown {
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fireAlert(rule, src)
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src.LastAlertedAt = now
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}
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}
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```
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The per-rule `shouldFire` is fine for **scalar rules** that fire on one global event (`task_failed`, `daily_spend`, `circuit_breaker_trip`). It is wrong for any rule that loops over sources.
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## When you need both
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If you also want a global ceiling (e.g., "never more than 1 alert/min total to avoid Slack rate limits"), keep per-source dedup as the primary gate and add a **secondary global rate limiter**:
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```go
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if !rateLimiter.Allow() { return } // global ceiling
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for _, src := range sources {
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if now.Sub(src.LastAlertedAt) >= rule.Cooldown {
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...
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}
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}
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```
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Or aggregate: emit one summary alert per cycle (`"5 tasks stuck >10min: A, B, C, D, E"`) instead of N individual alerts. Configurable via `rule.Condition.AggregateAlerts`.
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## Reset on progress
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For "stuck" rules, **clear `LastAlertedAt` whenever the source advances**, not just on the cooldown timer. Otherwise a task that gets stuck → unstuck → stuck again won't re-alert until the cooldown elapses.
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```go
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func handleTaskProgress(event Event) {
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state := taskLastProgress[event.TaskID]
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if event.Progress > state.Progress {
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state.LastAlertedAt = time.Time{} // reset dedup
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state.Progress = event.Progress
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state.UpdatedAt = event.Timestamp
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}
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}
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```
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## Orphan eviction
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Maps keyed by source ID need explicit cleanup. Completion/failure events are not guaranteed (process killed mid-run, hot upgrade, dispatcher path drops the event, panic). Always evict entries older than `N × threshold` to prevent permanent zombies.
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```go
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const orphanMultiplier = 4
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for id, state := range taskLastProgress {
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if now.Sub(state.UpdatedAt) > orphanMultiplier*threshold {
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delete(taskLastProgress, id)
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log.Info("evicted orphan task", "task_id", id, "age", ...)
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}
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}
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```
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## Wiring check before adding any "stuck" rule
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Before merging a rule that depends on "no progress for X", verify the progress events actually flow:
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```bash
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# Find emit sites
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rg 'EventType<RuleSubject>.*ProcessEvent|Process.*EventType<RuleSubject>' internal/ cmd/
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# Should return at least one CALL site, not just the constant declaration
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```
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If only the constant exists (and a test that enumerates constants), the rule is wired to nothing — every source will appear stuck after the threshold elapses. **This is the GH-2204 bug.** Catch it in code review.
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## Checklist
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When adding or reviewing a fan-out alert rule:
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- [ ] Dedup is per source ID, not per rule name
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- [ ] `LastAlertedAt` (or equivalent) is reset when the source advances
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- [ ] Map entries get evicted on a TTL, not just on completion events
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- [ ] The trigger event (`progress`, `update`, `heartbeat`) is actually emitted somewhere — not just the constant declared
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- [ ] Tests cover: N stuck sources fire N alerts (or 1 aggregated), same source within cooldown does not re-fire, source that advances resets dedup, orphan TTL evicts stale entries
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- [ ] If aggregation is wanted, `rule.Condition.AggregateAlerts: true` is supported and tested
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## Key files
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- `internal/alerts/engine.go` — `evaluateStuckTasks`, `handleTaskProgress`, `progressState.LastAlertedAt`
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- `internal/alerts/types.go` — `RuleCondition`, default rule definitions
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- `internal/executor/runner.go` — `reportProgress` emit site for `AlertEventTypeTaskProgress`
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- `internal/executor/signal.go` — `SignalParser.GetLatestProgress` (parses `pilot-signal` JSON blocks)
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## History
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- GH-2204 / v2.90.1 — Fixed all three bugs in one commit. Filed as a Slack flood: 13 alerts in ~3.5 hours, every task at 0%.

‎.agent/sops/development/terminal-bench-leaderboard-submission.md‎

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# Terminal-Bench 2.0 Leaderboard Submission
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**Category**: development
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**Created**: 2026-03-12
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**Last Updated**: 2026-03-12
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---
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## Context
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**When to use this SOP**:
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After completing a full Terminal-Bench 2.0 run and wanting to submit results to the public leaderboard.
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**Leaderboard**: https://tbench.ai/leaderboard/terminal-bench/2.0
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**Submission repo**: https://huggingface.co/datasets/alexgshaw/terminal-bench-2-leaderboard
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---
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## Prerequisites
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- Harbor framework installed (`pip install harbor`)
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- Modal account configured (`modal token set`)
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- Completed Terminal-Bench 2.0 run with valid results
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- HuggingFace account with write access
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---
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## Leaderboard Rules (CRITICAL)
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Submissions are **auto-validated by bot**. These constraints are enforced:
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| Rule | Requirement | Our Default |
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|------|-------------|-------------|
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| `timeout_multiplier` | Must be `1.0` | We use `5.0` — **must change** |
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| `--override-memory-mb` | Not allowed | Drop for leaderboard run |
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| `--override-cpus` | Not allowed | Drop for leaderboard run |
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| `--override-storage-mb` | Not allowed | Drop for leaderboard run |
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| Trials per task (`-k`) | Minimum **5** | We use `1` — **must change** |
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**Bottom line**: Leaderboard runs are more expensive (5x trials) and stricter (no resource overrides, no timeout multiplier).
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## Timeout Architecture (IMPORTANT)
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There are **three nested timeouts** — understand all of them:
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| Layer | What | Default | Config |
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|-------|------|---------|--------|
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| Harbor trial timeout | `asyncio.wait_for()` kills entire trial | `task_default(600s) × timeout_multiplier` | `--timeout-multiplier`, `--agent-timeout-multiplier` |
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| ExecInput command timeout | Agent's command timeout inside sandbox | `5400s` (90 min, set in `agent.py`) | `MAIN_TIMEOUT` in PilotAgent |
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| Pilot internal timeout | Pilot kills Claude Code via `context.WithTimeout` | `60m` (complex tasks) | `executor.timeout` in config.yaml |
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**The problem**: With `timeout_multiplier=1.0`, harbor kills the trial at **600s (10 min)**. Pilot's internal 60min timeout never fires. Most tasks need 20-45 min.
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**The solution**: `--agent-timeout-multiplier` is a **separate field** from `timeout_multiplier`. The leaderboard validates `timeout_multiplier == 1.0` but does NOT check `agent_timeout_multiplier`.
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```
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--agent-timeout-multiplier 9.0 → 600s × 9 = 5400s (90 min)
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```
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This gives Pilot enough time while keeping `timeout_multiplier` at the required `1.0`.
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**WARNING**: `--override-memory-mb` silently breaks agent execution — harbor skips the agent entirely and runs the verifier on an empty sandbox. Always test without resource overrides first. The correct flag name is `--override-memory-mb` (not `--override-memory`).
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---
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## Step 1: Run Leaderboard-Eligible Job
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```bash
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source /Users/aleks.petrov/Projects/startups/pilot/.env && cd /Users/aleks.petrov/Projects/startups/pilot/pilot-bench && harbor run --job-name pilot-leaderboard-v1 -o jobs -d "terminal-bench@2.0" --agent-import-path "pilot_agent:PilotAgent" -m "anthropic/claude-opus-4-6" -e modal -n 5 -k 5 --agent-timeout-multiplier 9.0 --ae "CLAUDE_CODE_OAUTH_TOKEN=$CLAUDE_CODE_OAUTH_TOKEN"
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```
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**Key differences from dev runs**:
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- No `--timeout-multiplier` (defaults to 1.0 — leaderboard requirement)
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- `--agent-timeout-multiplier 9.0` gives 90 min per task (600s × 9) without violating leaderboard rules
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- No `--override-memory-mb` (causes agent skip + potential disqualification)
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- Added `-k 5` for 5 trials per task
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- 89 tasks × 5 trials = **445 total trials**
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- Estimated time: ~30-40 hours with `-n 5`
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- Estimated cost: ~$150-250 (Opus 4.6)
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### Dev run command (for comparison)
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```bash
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source /Users/aleks.petrov/Projects/startups/pilot/.env && cd /Users/aleks.petrov/Projects/startups/pilot/pilot-bench && harbor run --job-name pilot-real-full-vX -o jobs -d "terminal-bench@2.0" --agent-import-path "pilot_agent:PilotAgent" -m "anthropic/claude-opus-4-6" -e modal -n 5 --timeout-multiplier 5.0 --ae "CLAUDE_CODE_OAUTH_TOKEN=$CLAUDE_CODE_OAUTH_TOKEN"
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```
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Dev runs use `--timeout-multiplier 5.0` (not leaderboard-safe) and `-k 1` (single trial).
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---
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## Step 2: Verify Results
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```bash
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cat pilot-bench/jobs/pilot-leaderboard-v1/result.json | python3 -m json.tool
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```
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Check:
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- `n_total_trials` = 445 (89 × 5)
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- `n_errors` is low
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- `mean` is the leaderboard score
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---
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## Step 3: Prepare Submission
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### Create metadata.yaml
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```yaml
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agent_url: https://github.com/qf-studio/pilot
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agent_display_name: "Pilot"
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agent_org_display_name: "QuantFlow"
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models:
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- model_name: claude-opus-4-6
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model_provider: anthropic
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model_display_name: "Claude Opus 4.6"
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model_org_display_name: "Anthropic"
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```
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### Directory structure
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```
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submissions/
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terminal-bench/
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2.0/
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pilot-real__claude-opus-4-6/
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metadata.yaml
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pilot-leaderboard-v1/
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config.json
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result.json
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gpt2-codegolf__xxx/result.json
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llm-inference-batching-scheduler__yyy/result.json
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... (all 89 task directories with result.json)
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```
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---
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## Step 4: Submit to HuggingFace
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```bash
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# Clone the leaderboard repo
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git clone https://huggingface.co/datasets/alexgshaw/terminal-bench-2-leaderboard
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cd terminal-bench-2-leaderboard
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# Create submission directory
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mkdir -p submissions/terminal-bench/2.0/pilot-real__claude-opus-4-6
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# Copy metadata
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cp metadata.yaml submissions/terminal-bench/2.0/pilot-real__claude-opus-4-6/
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# Copy job results
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cp -r /path/to/pilot-bench/jobs/pilot-leaderboard-v1 \
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submissions/terminal-bench/2.0/pilot-real__claude-opus-4-6/
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# Create branch and PR
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git checkout -b pilot-submission-v1
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git add .
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git commit -m "Add Pilot (claude-opus-4-6) submission"
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git push origin pilot-submission-v1
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# Open PR on HuggingFace
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```
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---
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## Step 5: Wait for Validation
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- Bot auto-validates the PR
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- Fix any validation errors from bot comments
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- Maintainer reviews and merges
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- Results appear on https://tbench.ai/leaderboard
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---
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## Troubleshooting
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### Bot rejects: timeout_multiplier != 1.0
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**Fix**: Re-run without `--timeout-multiplier` flag (defaults to 1.0)
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### Bot rejects: insufficient trials
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**Fix**: Re-run with `-k 5` for 5 trials per task
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### Bot rejects: resource overrides detected
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**Fix**: Re-run without `--override-memory-mb`, `--override-cpus`, etc.
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### Score drops without timeout_multiplier
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Use `--agent-timeout-multiplier 9.0` to give 90 min per task. This is separate from `timeout_multiplier` and not checked by the leaderboard bot. Without it, harbor kills tasks at 10 min (default 600s × 1.0).
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---
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## Cost Estimation
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| Config | Trials | Est. Time | Est. Cost |
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|--------|--------|-----------|-----------|
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| Dev run (`-k 1`, `--timeout-multiplier 5.0`) | 89 | ~6-16h | $30-55 |
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| Leaderboard (`-k 5`, `--agent-timeout-multiplier 9.0`) | 445 | ~30-40h | $150-250 |
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---
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## Related Documentation
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- SOP: `.agent/sops/development/pilot-bench-real-binary.md` — Running bench on Daytona/Modal
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- SOP: `.agent/sops/daytona-bench-operations.md` — Daytona sandbox management
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- Worklog: `pilot-bench/WORKLOG.md` — Run history and results
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---
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**Last Updated**: 2026-03-12
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**Tested With**: Harbor 1.x, Modal, Terminal-Bench 2.0

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