Initial public ModelForge release
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# Advisor Pipeline Evidence
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Advisor candidates are explicitly typed as `embedding_deployment` or `retrieval_pipeline`.
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Embedding candidates reference completed evaluation runs; pipeline candidates reference immutable
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pipeline identities whose latest completed fixed-pool runs provide control/candidate metrics.
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Hard gates remain deterministic: incomplete/non-comparable evidence, critical regression, security
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or license block, runtime/GPU-fit failure, unsupported migration and latency policy override
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aggregate gains. Unknown evidence stays unknown.
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Pipeline recommendations may return
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`KEEP_CURRENT_EMBEDDING_ADD_RERANKER_CANDIDATE`, but M8's two real reranking runs returned
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`KEEP_CURRENT`. The evaluated E5 embedding also returned `KEEP_CURRENT`: its aggregate retrieval
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metrics improved, but three critical regressions, unapproved license state, a required reindex and
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the p95 latency policy block promotion. Recommendations never promote or cut over automatically.
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