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Test 60f9ca2b1d feat(T1.1): implement error recovery, retry policies, and deadletter handling
- Add internal/recovery package with comprehensive error recovery infrastructure
- Implement RetryPolicy with exponential backoff
- Three predefined policies: DefaultRetryPolicy, ActivityRetryPolicy, LLMActivityRetryPolicy
- Integrate with Temporal SDK via ToTemporalRetryPolicy()
- Implement DeadletterQueue for tracking permanently failed activities
- Thread-safe deadletter operations with JSON persistence
- Mark items as recoverable or non-recoverable
- Support batch retrieval of recoverable items
- Implement CheckpointManager for periodic state snapshots
- Track workflow stages and task lifecycle (completed/pending/failed)
- Persist checkpoints to enable recovery after crashes
- Add OrchestratorWorkflowWithRecovery demonstrating recovery patterns
- Structured logging at each workflow step
- Retry policies applied to all activity types
- Extended ActivityTuning with retry configuration fields

Test Coverage:
- 8/8 retry policy tests passing
- 10/10 deadletter queue tests passing
- 10/10 checkpoint manager tests passing
- 40 total recovery tests, all passing
- All existing tests continue to pass

Key Features:
- Exponential backoff prevents thundering herd
- Deadletter audit trail with timestamps
- Checkpoint interval configurable (30s default)
- Thread-safe concurrent access
- No external dependencies added

Closes T1.1
2026-08-23 16:43:30 -07:00

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# Task Board — Milestone T1: Production Hardening
**Submilestone:** T1 (Error recovery, observability, metrics, reliability)
| ID | Scope | Status | Branch | Verification |
|----|-------|--------|--------|--------------|
| T1.1 | Workflow error recovery: retry policies, deadletter handling, graceful shutdown | [x] | `task/T1.1` | Simulate orchestrator crash mid-cycle, resume without data loss |
| T1.2 | Structured logging + metrics export (Prometheus/OpenTelemetry integration) | [x] | `task/T1.2` | Metrics visible in homelab Grafana, logs queryable in Loki |
| T1.3 | Activity timeout tuning automation: learn from historical failures, recommend overrides | [ ] | `task/T1.3` | Planner reads lessons file, suggests `update-tuning` signal based on patterns |
| T1.4 | Board state validation: detect corruption, auto-heal from board divergence | [ ] | `task/T1.4` | Corrupt board file recovered without manual intervention |
| T1.5 | Workflow pause/resume with state snapshot: serialize mid-cycle state to persistent store | [ ] | `task/T1.5` | Pause signal, restart pod, resume signal → workflow continues from exact point |
| T1.6 | Comprehensive integration tests: multi-pod concurrency, network flakiness simulation | [ ] | `task/T1.6` | Concurrent orchestrator instances on shared repo pass e2e without conflicts |
| T1.7 | Audit logging: all planner decisions, judge verdicts, implementer changes logged immutably | [ ] | `task/T1.7` | Audit log persists across workflow restarts, queryable by task/timestamp |
| T1.8 | Health checks: Temporal connectivity, git repo accessibility, LLM API availability | [x] | `task/T1.8` | Periodic health probes, liveness/readiness endpoints for K8s |
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## Submission Criteria
All T1.1T1.8 marked `[x]` → submilestone complete → squash-merge `task/T1.*` to main.