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CommunityTools & IntegrationsVerified 2026-09-20

Building a Harness with Jev (LangChain)

LangChain's langchain-typesafe integration exposes Jev as a TypeSafeClassifier plus experimental model-routing and auto-mode middleware that screens risky tool calls before execution.

Category
Tools & Integrations
Published by
Community
Author
LangChain
Added
2026-09-20
Tagscommunityintegrationpythonagentsrouting

Highlights

  • TypeSafeClassifier.invoke() accepts text, structured data, or LangChain messages.
  • AutoModeMiddleware checks and blocks risky tool calls before they run.
  • ModelRouterMiddleware picks a per-run model from the first user message.

Watch out

The middleware beyond the classifier is experimental and may change between releases.

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From the community

Posts from builders shipping with Jev right now.

Browser Use Ultrafast, powered by Jev

A really smart switch statement

hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more

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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