Introduces six new modules that work together to reduce token usage across
the dispatch pipeline while preserving semantic content quality:
- Provider-aware token counting with per-provider char/token ratios
- Prompt cache optimizer for maximizing Anthropic/OpenAI cache hit rates
- Structured data formatter (compact notation for decisions/requirements/tasks)
- Deterministic prompt compressor (light/moderate/aggressive levels)
- Semantic chunker with TF-IDF relevance scoring for context selection
- Summary distiller for condensed dependency summaries
Integration points:
- inlineDependencySummaries uses distillation before truncation (3+ deps)
- inlineDecisionsFromDb/inlineRequirementsFromDb use compact format at non-full levels
- buildExecuteTaskPrompt compresses carry-forward when it exceeds 40% of budget
- context-budget.reduceToFit combines compression with section-boundary truncation
- computeBudgets accepts optional provider for accurate char/token ratios
All existing 1475 unit tests + 30 integration tests pass with zero regressions.
157 new tests cover all optimization modules.
