Initial public ModelForge release

2026-09-01 21:30:16 +02:00
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+# Reranking Capability
+
+`rag.reranking@1` is a first-class capability, never a public model or worker endpoint. A caller
+submits one query, 1–40 bounded `{id,text}` documents and `top_n` 1–10. The response contains only
+stable IDs, finite scores and ranks. ModelForge resolves the experiment deployment, acquires a GPU
+lease and dispatches to the private GPU Node runtime worker.
+
+Query and document text exist only in the bounded Redis payload exchange and worker memory. They
+are deleted after completion or timeout and never enter PostgreSQL, audit payloads, metrics or
+request history. IDs, timings, counts and failure codes may be persisted. There is no network
+egress, cloud fallback or `trust_remote_code` path.
+
+The M8 implementation supports the Qwen3 causal-LM reranker adapter with immutable runtime-profile,
+artifact-set, exact-revision and probe evidence. Typed failures include `RERANKER_NOT_AVAILABLE`,
+`RERANK_REQUEST_TOO_LARGE`, queue/capacity failures and invalid/non-finite output.
+
+The M8 deployment is experiment-only. No stable route or production promotion was created.