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Author SHA1 Message Date
fa91f313c4
Simplify editor cleanup and keep live ASR metadata
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Keep the daemon path on the full ASR result so word timings and detected language survive into the editor pipeline instead of falling back to a plain transcript string.

Add PipelineEngine.run_asr_result(), have aman call it when live ASR data is available, and cover the word-aware alignment behavior in the daemon tests.

Collapse the llama cleanup flow to a single JSON-shaped completion while leaving the legacy pass1/pass2 parameters in place as compatibility no-ops.

Validated with PYTHONPATH=src python3 -m unittest tests.test_aiprocess tests.test_aman.
2026-03-12 13:24:36 -03:00
8c1f7c1e13 Add benchmark-driven model promotion workflow and pipeline stages
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2026-02-28 15:12:33 -03:00