---
Branch: main
Classification: architecture-change
Classified by: Claude Opus 4.6 (Thinking)
Frozen: false
Created Date: 2026-04-23
Owner: Agent
Guardrails Mode: Full
Current Phase: ship
Checkpoint SHA: none
Recommended Skills: writing-plans, executing-plans, verification-before-completion
---

## Session Info
- Model: Gemini 3.1 Pro (High)
- Timestamp: 2026-04-23T13:54+08:00
- Platform: Google Antigravity
- Guardrails loaded: §1, §2, §4, §7, §8.1, §10 (core) + §5 (testing/evidence rules)

## Drift Log
none

## Task Description
Refine Agentic OS governance rules to reduce process fatigue, mitigate Work Log bloating from evidence, optimize context caching, and provide directory-based exemptions for prototyping.

### Goals
- ADR 1: Enforce evidence truncation in Work Logs (prevent premature compaction)
- ADR 2: Directory-based exemption for Design-First and Production Logger rules
- ADR 3: Dual-mode context budget strategy aligned with LLM prompt caching

### Constraints
- Must not break the core "Correctness First" and "No Evidence = No Completion" philosophy.
- Changes must be backward compatible with existing project deployments.
- All three decisions were debated via Red/Blue team challenge and refined.

## Phase Sequence
1. [x] bootstrap
2. [x] adr — Output: `docs/adr/ADR-001-governance-friction-tuning.md`
3. [x] plan
4. [x] implement
5. [x] review
6. [x] test
7. [x] handoff
8. [x] ship

## Phase Summary
- bootstrap: Task classified as architecture-change. Work log initialized (Gemini 3.1 Pro).
- adr: Three ADRs documented after Red/Blue team debate and provider caching verification. Decisions: (1) evidence truncation, (2) directory-based exemptions, (3) dual-mode context budget. ADR file written.
- plan: Plan generated targeting 6 files for governance rule updates. | Confidence: 95% — high
- implement: 6 files updated with ADR-001 decisions. Evidence truncation rules added, dual-mode caching integrated, production_paths added to config.
- review: Verified structural scope compliance, security check clean, and all ADRs proven with file modifications.
- ship: Changes committed to branch fix/30-python-bin-inline-bypass and PR #68 created.

## Gate Evidence
- adr: ADR-001 created at `docs/adr/ADR-001-governance-friction-tuning.md`. All three decisions verified against official Anthropic, Google, and OpenAI documentation.
- Gate: plan | Verdict: pass | Classification: architecture-change | At: 2026-04-23T05:58:00Z
- Gate: implement | Verdict: pass | Classification: architecture-change | At: 2026-04-23T06:05:00Z
- Gate: review | Verdict: pass | Classification: architecture-change | Timestamp: 2026-04-23T06:07:00Z
- Gate: ship | Verdict: pass | Classification: architecture-change | Timestamp: 2026-04-23T06:08:00Z

## External References
- Anthropic Prompt Caching: https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching
- Google Gemini Context Caching: https://ai.google.dev/gemini-api/docs/caching
- OpenAI Prompt Caching: https://platform.openai.com/docs/guides/prompt-caching

## Known Risk
- ADR 3 (dual-mode caching) is a SHOULD-level recommendation. AI agents that cannot detect session history will fall back to the current skip behavior. This is intentional — no gate failure. Future iterations may need a lightweight session state file (e.g., `session-state.json`) to guarantee AI awareness of cache levels.
- Directory-based exemptions require downstream projects to correctly categorize their source directories. Miscategorized production code in `scripts/` could bypass safety checks. Additionally, prefix matching means paths like `src/scripts/` are currently flagged as production; future iterations should support exclude arrays.

## Conflict Resolution
none

## Skill Notes
none

## Evidence
- ADR file: `docs/adr/ADR-001-governance-friction-tuning.md` (Status: Accepted)
- Provider caching facts verified via official docs (see External References)

## Risks (from /plan)
- Misinterpretation of directory-based rules: Users might bypass safety checks by placing code in the wrong directories. Mitigation: clear documentation in the updated rules.
- Localization drift: Ensuring the EN and ZH-TW docs are perfectly aligned in their explanations. Mitigation: side-by-side verification.

## Resume (for next session)
**Next phase**: DONE. PR is ready for review.
