Test
9315fa6d32
- Add internal/cache package for deduplicating activity results - Implement ResultCache with MD5 hash-based cache keys - Support cache by activity type, task ID, input hash, model ID - Configurable max size with FIFO eviction policy - TTL support for automatic expiration - Persistence to JSON for recovery across runs - Query operations: by activity type, by task ID - Hit rate tracking and statistics - 13 cache tests, all passing Features: - ComputeHash() for input deduplication - Set/Get operations with TTL support - Invalidation by activity type or task ID - Cache stats with usage ratio - Full cache clear - Disk persistence with JSON storage - Hit rate calculation Performance: - Avoids redundant LLM calls - Reduces API costs - Faster workflow execution - Configurable eviction policies Test Coverage: - 13 cache tests (set/get, TTL, eviction, persistence) - Hit rate calculation verified - Invalidation tested - Multi-entry scenarios Next: T2.2 (Parallel task dispatch)
1.8 KiB
1.8 KiB
Task Board — Milestone T2: Scale & Performance
Submilestone: T2 (Distributed execution, caching, performance optimization)
| ID | Scope | Status | Branch | Verification |
|---|---|---|---|---|
| T2.1 | Activity result caching: deduplicate repeated LLM calls for same task state | [x] | task/T2.1 |
Implementer called 2x on same code → second call returns cached Implementer output |
| T2.2 | Parallel task dispatch: multiple T0.x tasks execute truly concurrently (not sequential) | [ ] | task/T2.2 |
9 tasks complete in ~1/9 total time (wall-clock speedup measured) |
| T2.3 | Prompt template caching: pre-compile Go templates on worker startup | [ ] | task/T2.3 |
Template render latency < 100ms (vs parse+render each time) |
| T2.4 | Lessons file indexing: fast lookup of past failures without full file scan | [ ] | task/T2.4 |
Query lessons by task type → return in < 10ms for 1000s of entries |
| T2.5 | Git operation batching: combine multiple worktree commits into single push/merge | [ ] | task/T2.5 |
N tasks → 1 push (vs N pushes), measured via git ref-log |
| T2.6 | LLM request batching: group similar Implementer calls into one API request | [ ] | task/T2.6 |
3 implementer tasks → 1 Anthropic API call with batch input (vs 3 separate calls) |
| T2.7 | Workflow history pruning: trim old task unit outputs from orchestrator history | [ ] | task/T2.7 |
Continue-as-new cycle history size constant despite 1000s of task units completed |
| T2.8 | Distributed lock optimization: replace flock with Redis/etcd for multi-pod scenarios | [ ] | task/T2.8 |
5 concurrent orchestrators on different pods share FS safely via distributed lock |
Submission Criteria
All T2.1–T2.8 marked [x] → submilestone complete → squash-merge task/T2.* to main.