TRAJEVAL: Decomposing Code Agent Trajectories for Fine-Grained Diagnosis
📰 ArXiv cs.AI
TRAJEVAL is a diagnostic framework for decomposing code agent trajectories into interpretable stages for fine-grained diagnosis
Action Steps
- Decompose agent trajectories into search, planning, and execution stages
- Analyze each stage for errors or deviations from expected behavior
- Use TRAJEVAL to identify specific points of failure and improve agent performance
Who Needs to Know This
AI engineers and researchers on a team benefit from TRAJEVAL as it provides visibility into code agent failures, while product managers and software engineers can use it to improve agent performance and reliability
Key Insight
💡 Decomposing agent trajectories into interpretable stages enables fine-grained diagnosis and improvement of code agent performance
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🤖 Introducing TRAJEVAL: a diagnostic framework for code agents 📊
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