Promotion Decision: finite-state-governance-engine
Decision
Status: accepted Date: 2026-09-28
Rationale
Critical architectural guardrail constraining autonomous agent mutations to validated, legally registered lifecycle state transitions.
Evidence Summary
- Recurring Implementation Evidence: Src/Cas Runner/Governance/Governance Action Engine.Py (Transitionregistry, Governanceactionengine)
- Current Architecture State Support: Models In Src/Cas Runner/Governance/Models.Py (Governanceaction)
- Governance Model Alignment: Prevents Unauthorized Promotions And Lifecycle Bypasses During Agent Execution
Governance Assessment
Criteria Met
- [x] Significance
- [x] Reusability
- [x] Recurrence
- [x] Evidence Quality
- [x] Governance Maturity
- [x] Strategic Alignment
Governance Risks
- Overly restrictive transition policies impeding emergent experimentation workflows
Traceability
- Pattern Proposal: finite-state-governance-engine
- Promotion Recommendation: recommendation-finite-state-governance-engine
Next Step: Adr Generation