Use encoder sliding_window in encode_step KV cache init#4
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Two bugs caused the encoder to produce garbage embeddings once audio exceeded the sliding window size: 1. Encoder KV cache was initialized with hardcoded 100_000 instead of the actual encoder.sliding_window (750). This meant the cache never rotated, growing unbounded until memory or attention degraded. 2. RotatingKVCache._update_concat trim calculation didn't account for the size of the appended keys, trimming one entry too few. Fixes awni#7. Based on patches from PRs awni#3 and awni#4. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Bug fix: use encoder
sliding_windowfor streaming encoder KV cacheProblem
VoxtralRealtime.encode_step()initialized encoder cache with a large hardcoded size (100000) instead of the model-configured encoder sliding window.Resolution
RotatingKVCache(int(self.encoder.sliding_window))Why this helps
Regression test
tests/test_bugfix_encoder_window_optional.py::test_encode_step_uses_encoder_sliding_windowHow to run