Open spans at the memory hot paths (all no-op when tracing is off): - add / flush (service.memorize), extract + persist.markdown (user pipeline). - search: everos.memory.search retriever + a uniform recall / rank decomposition across keyword / vector / hybrid / agentic (manager, agentic modules, cross-encoder callbacks); query-embedding tokens land on recall. - recall quality: top_score / hit on the search span, plus recall_top_score / recall_hit pushed to Langfuse scores via the bounded-queue sink (method tagged; off the request path). - OME: everos.ome.<strategy> agent span + everos.reflect.consolidate generation; a W3C traceparent captured at enqueue is threaded through the APScheduler job and re-attached in the Runner, so strategies fanned out from a request nest under that request's trace. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| test_ingest | ||
| test_parser | ||
| test_pipeline | ||
| __init__.py | ||