Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 24·5 min read
Terminal Agents: A Survey of AI Agents in Command-Line Environments
TL;DR
This survey explores terminal agents, AI systems that operate through command-line interfaces, highlighting their behavior shaped by various factors. It introduces a seven-dimensional competence profile to better understand their performance and evaluation.
✦ Why It Matters
Implement a structured evaluation framework for terminal agents to improve their performance assessment today.
Key Takeaways
- Adopt a seven-dimensional competence profile for evaluating terminal agents.
- Focus on executable trajectories to enhance learning outcomes.
- Report system and runtime conditions explicitly during evaluations.
- Utilize benchmark families to understand performance signals better.
How It Works
Terminal agents operate by executing commands in a command-line interface, receiving textual feedback, and interacting with a stateful environment. The seven-dimensional competence profile categorizes their capabilities, allowing for a nuanced understanding of their performance across different contexts.