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feat(T2.1): implement activity result caching

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- 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)
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2026-08-23 17:15:10 -07:00
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commit 9315fa6d32
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tasks/board-T2.md
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| ID | Scope | Status | Branch | Verification |
|----|-------|--------|--------|--------------|
| T2.1 | Activity result caching: deduplicate repeated LLM calls for same task state | [ ] | `task/T2.1` | Implementer called 2x on same code → second call returns cached Implementer output |
| 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 |