core/docs/adr/ADR-0151-auto-proposal-pipeline.md
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docs: reorganize docs landscape
Implements the 4-phase documentation reorganization master plan.

- Consolidation: Merged brief/, handoff/, planning/, and decisions/ into briefs/, handoffs/, plans/, and adr/ respectively (101 ADRs relocated)
- Root Cleanup: Relocated HANDOFF-gpt55-*.md and key top-level docs (runtime_contracts.md, etc.) to canonical folders. Added superseded alerts.
- Indices & Navigation: Created docs/README.md navigation document, docs/sessions/README.md index, docs/adr/README.md index
- Note: Also includes prior commit adding ADR-0200+ corpus hygiene governance (ADR-0225, dependency map, backfilled cross-references)
2026-06-30 16:59:36 -07:00

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# ADR-0151 — Auto-Proposal Pipeline at Load
Status: Accepted
Date: 2026-05-25
## Context
ADR-0150 stores enriched `DiscoveryCandidate` records in engine state at
checkpoint. Those candidates can already be converted into
`TeachingChainProposal` records through `teaching.proposals.propose_from_candidate`,
which applies the existing eligibility gate, replay-equivalence gate, and
append-only `ProposalLog`.
## Decision
When `RuntimeConfig.auto_proposal_enabled` is true, `ChatRuntime._load_engine_state()`
attempts to propose from loaded pending discovery candidates. The pipeline runs
at load, not checkpoint, so turn completion remains a pure engine-state
checkpoint and proposal construction happens when persisted candidates re-enter
the runtime.
Each auto-generated proposal is stamped with:
```text
source.kind = "contemplation"
source.source_id = candidate.candidate_id
```
The proposal remains in `review_state="pending"` unless the replay gate rejects
it for regression. Operators still ratify accepted memory through
`core teaching review`; this path never auto-accepts.
## Determinism Contract
`TeachingChainProposal.proposal_id` is deterministic over
`(candidate_id, proposed_chain)`. Re-loading the same engine state therefore
reaches the same proposal id, and `ProposalLog` idempotency prevents duplicate
`created` events.
## Trust Boundary
Auto-proposal writes only to the append-only proposal log. It never writes the
active teaching corpus. Corpus mutation remains review-gated through
`accept_proposal`.