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Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.
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- Updated Sep 2026
Repo stats from the GitHub API, cached Oct 2026.
CommunityJev Agents & MCP
Pi Jev Context — kevinpita
Pi extension that uses Jev to judge which older session messages are still worth sending to the model, hiding low scorers from future requests while leaving the session transcript itself intact.
- Stars
- 2
- Language
- TypeScript
- License
- MIT
- Published by
- Community
- Author
- kevinpita
- Last verified
- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Pi Jev Context — Nyarlathoteppppp.
About this project
Jev Context for Pi Keep useful context. Hide old noise. Keep your original history. A Pi extension that uses TypeSafe Jev to judge which older messages are still useful. Low-scoring content is hidden from future model requests, not deleted from your session. Opt-in · Reversible filtering · Branch-aware cache · No extra runtime dependencies. Requires Pi 0.85.1+, Node.js 22.19+, and a TypeSafe API key. TypeSafe usage can incur charges. Jev is a separate judgment service, not your main coding model.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- TypeScript
Highlights
- The default threshold of 0.8 is aggressive by design — 0.81 stays, 0.80 is hidden — and /jev threshold re-filters from cached scores.
- User requirements, system instructions, todo operations, images, incomplete tool exchanges and the latest five tool pairs are never judged.
- Judging is off by default and reversible: /jev off restores unfiltered history and /rejev rejudges the active branch while idle.
- Judgments and settings persist with the session branch, and with the cache on only new or changed candidates are sent.
Watch out
When enabled, candidate assistant history, tool arguments, text results and recent conversation excerpts go to TypeSafe's System One endpoint and can contain private code or secrets; nothing is sent while it is disabled. On an API error judging pauses but previously saved pruning still applies, so a failed scan does not hand your context back — you need /jev off. Cached scores do not adapt when the topic changes. Filtering can invalidate your model provider's prompt cache, and Jev cannot recover messages Pi's own compaction already removed. The README's screenshots are illustrated previews, not live captures or benchmark results. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
No. Low-scoring content is hidden from future model requests only; the original messages stay in the session and /jev off restores full visibility. /rejev can bring hidden content back when the task changes, running against the active branch while idle, including candidates that are currently hidden.
Judging pauses, but pruning that was already saved keeps applying — a failed scan does not automatically restore unfiltered context. Use /jev off to get the original history back, or /rejev to retry. Pi's own compaction is a separate mechanism, and Jev cannot recover messages compaction already removed.
It can. The README lists prompt-cache invalidation among the real costs, alongside added scan latency and API usage. The savings figure an idle scan reports is an estimated context reduction, not a billing claim, and Pi's own context meter can disagree with it.
The default is 0.8 and the README calls it aggressive: a candidate must score above it to stay, so 0.81 is retained and 0.80 is hidden. /jev threshold 0.5 keeps more history using cached scores, and /jev buffer changes how many of the latest tool pairs are protected during active work.
Run pi install npm:pi-jev-context, then restart Pi or run /reload and do /login typesafe followed by /jev on, entering the key in Pi's secret prompt. It needs Pi 0.85.1+ and Node.js 22.19+.
Candidate assistant history, tool arguments, text results and recent conversation excerpts go to api.typesafe.ai/v1/systemone, and can contain private code or secrets. No TypeSafe requests are made while the extension is disabled.
User requirements and system instructions, todo operations and extension messages, images, incomplete tool exchanges, summaries, and the latest five tool pairs during active work.
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