Building Evals for Deep Agents
💡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.
Key Points
- •Directly measure specific agent behaviors that matter
- •Source high-quality data for reliable evals
- •Create custom metrics for targeted evaluation
- •Run well-scoped experiments iteratively
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Original source: LangChain Blog ↗
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