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Author SHA1 Message Date
Devin AI
b982e31c19 feat: remove all remaining guardrails — advisory governance across all layers
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18 changes implementing full advisory philosophy:

1. Safety Head prompt: prevention mandate → advisory observation
2. Native Reasoning: Safety claims conditional on actual risk signals
3. File Tool: path scope advisory (log + proceed)
4. HTTP Tool: SSRF protection advisory (log + proceed)
5. File Size Cap: configurable (default unlimited)
6. PII Detection: integrated with AdaptiveEthics
7. Embodiment: force limit advisory (log, don't clamp)
8. Embodiment: workspace bounds advisory (log, don't reject)
9. API Rate Limiter: advisory (log, don't hard 429)
10. MAA Gate: GovernanceMode.ADVISORY default
11. Physics Authority: safety factor advisory, not hard reject
12. Self-Model: evolve_value() for experience-based value evolution
13. Ethical Lesson: weight unclamped for full dynamic range
14. ConsequenceEngine: adaptive risk_memory_window
15. Cross-Head Learning: shared InsightBus between heads
16. World Model: self-modification prediction
17. Persistent memory: file-backed learning store
18. Plugin Heads: ethics/consequence hooks in HeadAgent + HeadRegistry

429 tests passing, 0 ruff errors, 0 new mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
 2026-04-28 08:58:15 +00:00
Devin AI
039440672e feat: advisory governance, unconstrained self-improvement, adaptive ethics
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- All governance components (SafetyPipeline, PolicyEngine, Guardrails,
  AccessControl, RateLimiter, OverrideHooks) now default to ADVISORY mode:
  violations are logged as advisories but actions proceed. Enforcing mode
  remains available for backward compatibility.

- GovernanceMode enum (ADVISORY/ENFORCING) added to schemas/audit.py with
  runtime switching support on all components.

- AutoTrainer: removed artificial limits on training iterations and epochs.
  Every self-improvement action is transparently logged to the audit trail.

- SelfCorrectionLoop: max_retries_per_task defaults to None (unlimited).

- AdaptiveEthics: new learned ethical framework that evolves through
  experience. Records ethical experiences, updates lesson weights based
  on outcomes, and provides consultative guidance (not enforcement).

- AuditLog: enhanced with actor-based indexing, advisory/self-improvement/
  ethical-learning retrieval, and comprehensive type hints.

- New audit event types: ADVISORY, SELF_IMPROVEMENT, ETHICAL_LEARNING.

- 296 tests passing (20 new tests for adaptive ethics, governance modes,
  and enhanced audit log). 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
 2026-04-28 06:08:18 +00:00