doria b0dc05c909 feat: message ingestion forced-batching (#327) ... * feat: implement forced batching for representation tasks and adjust max tokens - Updated `REPRESENTATION_BATCH_MAX_TOKENS` to 1024 in `config.py`. - Enhanced `get_and_claim_work_units` in `QueueManager` to enforce batching based on token thresholds. - Added tests to ensure representation work units are only claimed when token counts meet or exceed the threshold. - Introduced a synthesis prompt for tool execution to improve final response generation. * chore: update queue-status docs to match new behavior * fix: make representation work query efficient * fix: Align alembic models and force dreams on for tests * fix: clean queue between tests --------- Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>		2026-01-14 14:59:35 -05:00
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__init__.py	fixes: update unified tests, bugs in dream scheduling (#322)	2026-01-13 12:33:59 -05:00
test_dream_scheduler.py	feat: message ingestion forced-batching (#327)	2026-01-14 14:59:35 -05:00