Deep Agents introduces RubricMiddleware, a new tool designed to add a self-evaluation loop to AI agent runs. It allows agents to evaluate and correct their work based on a set rubric and grader, ensuring reliable outputs for critical tasks.
This content explores advanced streaming primitives from Deep Agents, LangChain, and LangGraph, moving beyond traditional token streaming. It details how these primitives facilitate features like typed events, multimodal outputs, and subagent visibility for building robust AI agent applications.
Deep Agents 0.6 introduces a code interpreter, harness profiles, streaming v3, delta channels, and ContextHub. These additions aim to make agents faster, cheaper, and more scalable.
