## Why

BooCode has no structured way to enforce agent behavior rules. The `boocontext-audit` package (already TypeScript, zero external deps) provides a complete behavioral compliance engine ported from Parlant: Guideline condition/action model, multi-batch LLM matcher, relational resolver, audit middleware, and graded context recovery. Adding this gives BooCode structured rule enforcement far beyond simple CLAUDE.md guidelines.

## What Changes

- Import boocontext-audit as a dependency in apps/coder/
- Add Guideline model: natural language condition/action rules with criticality
- Add multi-batch matcher: observational, actionable, previously-applied, disambiguation, response analysis batches
- Add RelationalResolver: DEPENDS_ON, PRIORITIZES, ENTAILS, TAG_ALL relationship resolution
- Add audit middleware: PostToolUse/Stop/UserPromptSubmit hooks with JSONL buffer
- Add graded context recovery: L0-L4 recovery levels
- Wire guideline evaluation into agent's inference loop

## Capabilities

### New Capabilities
- `guideline-model`: Natural language condition/action rules with criticality and priority
- `multi-batch-matcher`: 6-batch LLM evaluation for context-relevant rule matching
- `relational-resolver`: Dependency/priority/entailment resolution with iterative convergence
- `audit-middleware`: PostToolUse/Stop/UserPromptSubmit hooks with JSONL trail
- `graded-recovery`: L0-L4 context recovery for session continuity