feat(auto): route safe_defaults through DomainProfile (#809 P3, PR 5/6)

[shaun0927]

Summary

• Adds active_profile: DomainProfile | None = None parameter to finalize_safe_defaultable_gaps; profile's safe_defaults is consulted first, missing keys fall through to the hardcoded _SAFE_DEFAULTS coding-domain dict.
• Adds active_domain_profile_name: str | None field to AutoPipelineState (defaults None for backwards-compatible state file loading).
• AutoInterviewDriver.run resolves the name against DEFAULT_REGISTRY and threads the profile into finalize_safe_defaultable_gaps.

Test plan

• test_profile_default_overrides_hardcoded — profile value wins over hardcoded
• test_missing_key_falls_back_to_hardcoded — missing profile key uses _SAFE_DEFAULTS
• test_no_profile_uses_hardcoded_dict_unchanged — active_profile=None preserves existing behavior exactly
• test_profile_dict_value_is_coerced_to_defaultspec — plain dict coerced
• test_profile_str_value_is_coerced_to_defaultspec — plain string coerced
• test_active_profile_threading_via_state — AutoPipelineState.active_domain_profile_name persists and round-trips

All 150 existing + new tests pass. Ruff clean.

Stacks on PR-4 (feat/p3-intent-classifier-routing).

🤖 Generated with Claude Code

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[shaun0927]

Re-opening against upstream Q00/ouroboros — wrong target.

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Use resolved profile defaults when building synthesis text

When finalize_safe_defaultable_gaps runs with an active domain profile, ledger entries are written from _resolve_spec(...), but build_safe_default_synthesis always reads from _SAFE_DEFAULTS. In max-round finalization flows this makes the persisted interview transcript describe coding defaults even when the ledger used profile overrides, so downstream seed generation (which consumes transcript answers) can ignore the selected profile and produce inconsistent output.

Useful? React with 👍 / 👎.

[gemini-code-assist]

Code Review

This pull request introduces several significant enhancements to the ooo auto pipeline, including the implementation of a top-level pipeline deadline, support for chaining RUN to RALPH_HANDOFF via a new complete_product flag, and a new EVALUATE phase with persona-driven lateral thinking for verification failures. It also adds robust idempotency handling for run handoffs and updates the plugin layer with a new trust-subject contract and artifact digest verification. My feedback focuses on refining the resume_capability logic in state.py to accurately reflect the pipeline's retry capabilities for run handoffs, ensuring users receive correct guidance on whether a session can be retried or is terminally blocked.

[gemini-code-assist]

The current logic for determining resume_capability for the RUN phase is too simplistic and can provide incorrect guidance to the user. It currently returns NONE if run_start_attempted is true, but the pipeline logic in pipeline.py actually allows for one retry if the handoff status is unknown_no_handle or unknown_timeout.

This logic should be updated to correctly identify when a retry is possible, so that the user is correctly informed that they can RETRY the operation.

Suggested change

	if self.run_start_attempted:
	return AutoResumeCapability.NONE
	if self.run_start_attempted:
	if self.run_handoff_status in {"unknown_no_handle", "unknown_timeout"}:
	# The "retried once" phrase is from AutoPipeline and signals that the
	# single retry attempt has been exhausted.
	if self.run_handoff_guidance and "retried once with idempotency key" in self.run_handoff_guidance:
	return AutoResumeCapability.NONE
	return AutoResumeCapability.RETRY
	return AutoResumeCapability.NONE