The reranker is registered in embedding_models, so request_model(model,"rerank")
was rejected ("is a embedding model and cannot be used for rerank generation").
Resolve with model_type="embedding" (its actual category) so validation passes;
rerank.py still loads it as a cross-encoder (AutoModelForSequenceClassification),
re-loading if a cached embedder object is found under the same key.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Mw2KQiswmD69T45fTfjKwW