DO NOT MERGE: sir-merge-a-lot resolution-ladder validation

[nv-msvoboda]

Second and final validation PR for the sir-merge-a-lot mergeability agent (follow-up to #38, which validated the clean-rebase groom path).

What this PR is: a branch cut from main~1 with a docs insertion that deliberately overlaps the hunk #37 rewrote on main — a guaranteed low-risk textual conflict in docs/routing_algorithms/llm_classifier_routing.md whose correct resolution (keep both changes) is semantically unambiguous.

What happens next: an operator posts the groom command. The agent should detect the conflict, walk its resolution ladder (rerere → Mergiraf → LLM), post an acknowledgment comment, resolve, verify, push, and post a resolution comment with the ladder trace.

DO NOT MERGE — this PR will be closed and the branch deleted once validation completes.

Summary by CodeRabbit

• Documentation
  • Clarified the classifier target example with guidance on using any OpenAI-compatible endpoint.
  • Added a note that classifier selection should favor lower latency over answer quality when choosing a smaller, faster model.

[nv-msvoboda]

@sir-merge-a-lot groom

[nv-sir-merge-a-lot]

Previous updates (collapsed)

🤖 sir-merge-a-lot

Resolving conflicts

🔄 sir-merge-a-lot is resolving conflicts on this MR.

Detected 1 conflicting file(s) (LOW). I'll update this comment with the result. This can take a couple of minutes.

🤖 sir-merge-a-lot

Conflicts resolved

Resolution complete. I resolved 1 conflict(s) on smal-e2e/ladder-validation and pushed the result.

Resolution ladder trace

Rung	Result	Details
Server-side rebase	skipped	Skipped because conflicts were detected during local analysis; GitLab rebase would not produce a clean branch. Files: docs/routing_algorithms/llm_classifier_routing.md
Client-side rebase	skipped	Skipped because conflicts were detected during local analysis; using the conflict-resolution ladder instead of force-pushing a conflicted rebase. Files: docs/routing_algorithms/llm_classifier_routing.md
Rerere	miss	No cached rerere resolution matched the remaining conflicts. Files: docs/routing_algorithms/llm_classifier_routing.md
Mergiraf	declined	Mergiraf ran but left conflicts in the remaining files. Files: docs/routing_algorithms/llm_classifier_routing.md
LLM	invoked	Escalating remaining files to LLM for bounded LLM resolution. Files: docs/routing_algorithms/llm_classifier_routing.md
LLM	resolved	LLM produced accepted bounded-edit resolutions. Files: docs/routing_algorithms/llm_classifier_routing.md

Why now: target advanced; this PR had 1 conflict(s) - risk distribution: 1 LOW.
What I checked: no HIGH/UNSUPPORTED files; sandbox verification passed. bounded edit passed for 1 LLM-resolved file(s): 7 of 15 edits used.
What I changed: 1 file(s) via llm on smal-e2e/ladder-validation.
Recovery: previous tip preserved at refs/sir-merge-a-lot/backup/smal-e2e/ladder-validation on the remote; pushed with --force-with-lease=smal-e2e/ladder-validation:43a5632d67f51f4a528c4dee7cf6123508d53643. To revert: git push origin refs/sir-merge-a-lot/backup/smal-e2e/ladder-validation:refs/heads/smal-e2e/ladder-validation.

📖 The resolution ladder · Bounded LLM

Resolved files:

• docs/routing_algorithms/llm_classifier_routing.md

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🤖 sir-merge-a-lot · why this happened? · pause / opt out · Updated 2026-07-09 15:51:55 UTC

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[coderabbitai]

Caution

Review failed

The pull request is closed.

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Enterprise

Run ID: 1eec625b-e0d9-4fb0-80c3-cd480c1773d9

📥 Commits

Reviewing files that changed from the base of the PR and between 717391a and 269c442.

📒 Files selected for processing (1)

• docs/routing_algorithms/llm_classifier_routing.md

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Walkthrough

This change adds two inline comments to a YAML example in the classifier routing documentation, clarifying that OpenAI-compatible endpoints can be used for the classifier and that latency should be prioritized over answer quality when selecting a model.

Changes

Documentation update

Layer / File(s)	Summary
Clarifying comments in classifier YAML example docs/routing_algorithms/llm_classifier_routing.md	Adds two inline comments to the classifier target example noting OpenAI-compatible endpoint support and preference for latency/small model size over answer quality.

Estimated code review effort: 1 (Trivial) | ~2 minutes

Poem

A rabbit hopped through docs today,
Two tiny comments found their way,
"Any endpoint works!" it cheered,
"Pick fast, small models—no need feared!" 🐇
Then back to burrow, hop hop away.

---

_{Comment @coderabbitai help to get the list of available commands.}

[nv-msvoboda]

Resolution-ladder validation complete — conflict detected, ladder walked (rerere miss → Mergiraf declined → LLM resolved, bounded-edit 7/15, sandbox verify passed), resolution pushed with backup ref + force-with-lease, and the trace comment posted. Closing as planned.