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CommunityTools & Integrations683 starsVerified 2026-09-22

Distill

A Rust coding-agent harness and TUI that uses Jev to pick a model and effort, route bounded utility work, and decide what context to keep, with code constraining every choice and validating results.

Open github.comsamuelfaj/distill
Category
Tools & Integrations
Published by
Community
Author
samuelfaj
Added
2026-09-22
Tagscommunityrustcoding-agentroutingcli

Highlights

  • Three model tiers - reasoning, worker, and utility - each have a model and effort picker, and auto is the default.
  • Jev selects the model and effort per turn and routes bounded utility tasks, while code constrains the choices and validates the results.
  • Failed or low-confidence Jev decisions leave the normal path in place, and Jev never decides tool permissions.
  • Works with Grok and Codex subscriptions and any OpenAI-compatible model, installed with a one-line curl or PowerShell script.

Quickstart

bash
curl -fsSL https://raw.githubusercontent.com/samuelfaj/distill/main/install.sh | sh
export PATH="$HOME/.local/share/distill/bin:$PATH"
distill --version

Watch out

Apache-2.0-licensed. Routing can send your request and recent steps to the configured endpoint, so read docs/jev-routing.md before enabling it.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

LLM-as-a-judge, sped up

Yuchen Jin
Yuchen Jin
Databricks
@Yuchenj_UW
·

Jev has spoken. It picked which model is AGI. 20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free. (I tried a bunch of prompts and still didn’t burn through $0.10.)

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Read 94 replies

Instant compaction with Jev

A Claude session from 1M to 86K tokens

Alex Volkov
Alex Volkov
CoreWeave
@altryne
·

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be  Show more

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Reply
Read 164 replies

Vercel's fx safety reviewer, 18x faster

Guillermo Rauch
Guillermo Rauch
Vercel
@rauchg
·

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

Pranit
Pranit
Vercel
@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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Read 137 replies

Jev lands on OpenRouter

700 leads scored for $0.09