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feat(context7): probe the top candidates instead of asking on an ambiguous library match #12605
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.changes/context7/work-resolve-issue-issue-12589-41562763065-1-f4fa0540.md
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| - On an ambiguous library match, the lookup workflow queries the top two candidates' docs and picks the one that answers the question, naming the rejected runner-up; it asks the user only when both answer equally well (#12589). |
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Advisory: no test covers the issue's three done-when items. The step meets all three criteria from #12589:
But no eval would fail if this step went back to asking first. I found no case under
plugins/context7/evals/(lk-resolve-then-docs,lk-no-secret-in-query,lk-update-advisory, …) or inplugins/context7/skills/lookup/evals/evals.jsonthat sets up an ambiguous match. A grep forambig|candidate|clarifin the lookup evals finds nothing.To show the gap: restore the old line
5. For ambiguous cases, ask the user before guessingand the whole eval suite still passes.Suggested fix: add an
lk-eval whose prompt names an ambiguous library, soctx7 libraryreturns two close candidates. Give it these graders:tool_usedgrader requiringctx7 docsat least twice before the last message;regexgrader onlast_messagechecking that it names two/org/projectIDs, one as chosen and one as rejected;claude-lane: claude-review
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pr-unblock / address-feedback: UNCERTAIN, left open
Evidence:
plugins/context7/skills/lookup/context/lookup.md:42,plugins/context7/evals/lk-resolve-then-docs/prompt.md:7,plugins/context7/skills/lookup/evals/evals.json:1,docs/migration-playbook.md:411