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Amada Echeverría (@amadaecheverria) on X
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Amada Echeverría (@amadaecheverria) on X

Jes is an open-source real-time guardrails library for AI agents built by LangChain Ambassador Eden Marco, designed to check every step of an agent's trajectory: prompts, tool calls, tool results, skills, and final responses. It runs as LangChain middleware and uses decision models like Jev from TypeSafe AI via a TypeSafeClassifier to make pass or fail calls at each checkpoint, with docs showing a concrete middleware integration example.

TL;DR Jes is an open-source LangChain middleware adding real-time guardrails over prompts, tool calls, tool results, and responses in agent pipelines.
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Organisations named here

  • LangChain
  • TypeSafe AI
  • Eden Marco
  • Jev

Technologies named here

  • jes
  • Jev
  • TypeSafeClassifier
  • LangChain middleware
  • LangChain

Techniques named here

  • Agent trajectory guardrails