asepharyana
0dff7770a1
- Parallelize per-user reputation/profile fetches in textBatchProcessor (was a serial ~2N DB/Redis round-trip loop per sub-batch; now Promise.all over unique users). Cuts per-batch latency, biggest win on small/quiet batches. - Make the LLM concurrency semaphore dynamic (cached per config value) instead of frozen at import time, so AI_LLM_MAX_CONCURRENT is tunable without code change and reflects current config. - Bump AI_LLM_MAX_CONCURRENT default 5 -> 8 (gemini-flash-lite is cheap; helps throughput when busy). - Lower AI_ANALYSIS_DEBOUNCE_MS 500 -> 250 (snappier first-message analysis when quiet). - Lower AI_ANALYSIS_RECOVERY_INTERVAL_MS 15000 -> 10000 (stuck/errored messages re-analyze sooner). tsc, biome, vitest (129) all clean.