EthanfelandClaude Opus 4.8 76df75e4fb feat(community-cache): hash fileless LoRAs from in-memory weights ...

The extractor's synthetic entry has no file on disk, so _lora_content_hash
returned None and the AutoTuner logged 'Could not hash ... disabling
community cache'. Fall back to hashing the in-memory weight tensors (sorted
keys + shapes + float32 bytes) for a stable, deterministic content hash, so
community caching stays enabled for stacks that include an extracted LoRA.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

2026-06-22 17:03:43 +02:00

..

test_estimator_features.py

feat: add EstimatorFeatureExtractor for combo feature vectors

2026-04-21 14:04:25 +02:00

test_estimator_freshness.py

fix(estimator): check index version and harden meta/per_prefix parsing

2026-04-21 14:20:22 +02:00

test_estimator_integration.py

test(estimator): end-to-end integration (build → retrieve → emit)

2026-04-21 14:34:07 +02:00

test_estimator_node.py

fix: surface fresh per-prefix stats in estimator Phase 1

2026-04-21 14:44:37 +02:00

test_estimator_runtime.py

feat(estimator): LoRAEstimator runtime — retrieve, aggregate, emit tuner_data

2026-04-21 14:22:03 +02:00

test_index_builder.py

feat: index builder script for estimator k-NN

2026-04-21 14:06:33 +02:00

test_lora_optimizer.py

feat(community-cache): hash fileless LoRAs from in-memory weights

2026-06-22 17:03:43 +02:00

test_per_prefix_capture.py

feat(autotuner): batch 3 — community I/O, cache GC, selection replay, dedup

2026-06-10 15:23:23 +02:00