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Server: recurrent_loops per request for looped models - #62
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The loop count is part of the model key: a request with another count drains the batch and switches the loaded model without reloading weights (set_recurrent_loops), and its prompt cache entries are kept apart. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…use) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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A request body can carry
recurrent_loops(1-4) for a looped model (Dory). No value keeps the default: the model's config, or--recurrent-loops.ModelProvider.model_keyfor looped models. Prompt cache entries, warm-next jobs and handoffs are all keyed on it, so a cache made with 2 loops is never reused for 3. Their layouts differ, and so does the output-layer KV.ModelDescription.loops: a request with another count doesn't join the running batch. The batch drains, thenload()callsmodel.set_recurrent_loops(n). Weights aren't reloaded.dory.Model.set_recurrent_loopsresets the cache plan.Tests (
tests/test_looped_model_config.py):--recurrent-loopsstays the default;test_server, test_warm_next_turn and test_server_handoff pass.
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