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Building Evals for Deep Agents

Building Evals for Deep Agents
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πŸ•ΈοΈRead original on LangChain Blog

πŸ’‘LangChain's eval blueprint: build reliable Deep Agents via targeted metrics & experiments

⚑ 30-Second TL;DR

What Changed

Directly measure specific agent behaviors that matter

Why It Matters

Enables developers to iteratively improve agents, reducing errors and increasing reliability in production applications. Fosters data-driven agent development practices across the ecosystem.

What To Do Next

Curate behavior-focused evals for your LangChain agents using their data sourcing methods.

Who should care:Developers & AI Engineers
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