chengyongru fb6dd111e1 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.
2026-04-11 15:56:41 +08:00
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