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JevMade field notes / Video guide

How To Build A Harness With Jev | A LangChain x TypeSafe Conversation

LangChain and TypeSafe discuss integrating Jev, a System 1 decision model, into agent workflows for fast safety classification and model routing.

Original by LangChainAgent workflowsIntermediate48 min 4 sec Published

Before you press play

What you’ll find in the video

  1. Jev is designed for fast, machine-to-machine decisions rather than generating text.
  2. Agent harnesses can use Jev to quickly classify risky tool calls before execution.
  3. Developers should carefully scope the state input to avoid degrading decision accuracy.
Worth knowing

These notes use fetched automatic captions, publisher metadata and chapters. No audiovisual watch, code execution or independent performance test was conducted. The speakers explain possible agent-harness uses; their speed and safety claims are not guarantees of accurate classification.

How To Build A Harness With Jev | A LangChain x TypeSafe Conversation

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