LangChain builds IssueBench to evaluate its long-running Engine agent on real traces
BraceSproul · x · 2026-07-21
LangChain says it built IssueBench, a detailed evaluation suite for its continual-learning agent Engine in LangSmith.
- The benchmark is designed for long-running, trace-based agents that are hard to evaluate with standard tests.
- It lets the team measure Engine on real traces and tighten the feedback loop for rapid iteration.
- LangChain says the post explains both the benchmark design and how they built it.
Related event: LangChain Introduces IssueBench for Long-Horizon Agents(3 posts)→
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