Overview & Result
Compacting context too early discards vital reasoning; compacting too late causes token bloat and degraded adherence. Compact Adviser monitors conversation turns to recommend the perfect compaction boundaries.
How Jev fits in the loop
- Monitor conversation tokens and tool history turns.
- Jev scores context completeness and task closure state.
- Trigger automated compaction when confidence exceeds safety threshold.
How to reproduce
- Inspect the source implementation at https://github.com/kunchenguid/compact-adviser.
- Configure local Jev API credentials and register required tool/model bindings.
- Execute test prompts and observe decision latency and routing outputs.
Why this build matters
Prevents context amnesia and maintains sharp agent reasoning in long sessions.
Limitations
- Metrics are author-reported from the initial release unless independently verified.
- Requires access to the respective agent framework or runtime environment.
- Generative model execution remains external to the Jev decision step.