chengyongru 6af81bc4a3

feat(agent): auto compact — proactive session compression to reduce token cost and latency (#2982) ...

When a user is idle for longer than a configured TTL, nanobot **proactively** compresses the session context into a summary. This reduces token cost and first-token latency when the user returns — instead of re-processing a long stale context with an expired KV cache, the model receives a compact summary and fresh input.

2026-04-10 17:43:42 +08:00

..

__init__.py

style: unify code formatting and import order

2026-02-28 20:55:43 +08:00

manager.py

feat(agent): auto compact — proactive session compression to reduce token cost and latency (#2982)

2026-04-10 17:43:42 +08:00