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Notes on agentic systems
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TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
The paper proposes a framework called TrajDebug to improve error detection in long-term AI agent trajectories. It addresses the challenges of identifying errors in lengthy trajectories and multiple local errors with…
Agents in the Wild: Where Research Meets Deployment
This tutorial paper discusses the transition of large language model (LLM) based agentic systems from research to practical use in various fields like software engineering, scientific discovery, and finance. It…
Tracing Agentic Failure from the Flow of Success
The text discusses a new model called OAT for failure attribution in LLM-based agentic systems. The model aims to identify the steps causing failures in these systems, which is crucial for debugging and improvement…
Agentic Skill Optimization over Lie Algebroids
The text introduces LASKO, a new framework for optimizing skills in agentic systems. LASKO models skills as structured artifacts and edit policies as sections of a Lie algebroid. The framework achieves significant…
Agentic System as Compressor: Quantifying System Intelligence in Bits
The authors propose a method to measure the intelligence of an agentic system by quantifying its ability to compress a target object under a fixed task distribution, interface, and compute budget. This is done using…
Agentic System as Compressor: Quantifying System Intelligence in Bits
Researchers propose a method to quantify the intelligence of an agentic system, which includes tools, evidence retrieval, environment constraints, verifiers, and multi-turn interactions, by measuring how many bits are…
Red-Teaming the Agentic Red-Team
The paper presents an in-depth security analysis of widely used agentic systems for offensive security operations. It identifies common design flaws that can allow an active adversary to compromise operator's machines…
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