AgentTrails: Towards Trust and Reuse for Agentic Tasks
LLM-powered agents increasingly tackle complex tasks by invoking tools, querying databases, executing code, and manipulating intermediate artifacts. These agents follow trajectories that are typically stored as chronological logs, obscuring the underlying dataflow -- the dependencies between their actions and the artifacts they create and manipulate. This limits developers' ability to understand the agents' trails, compare executions, debug failures, and re-use the computations. We present AgentTrails, a prototype system for agent provenance and sensemaking. AgentTrails converts raw trajectories into structured provenance graphs, where tool calls are modeled as computational actions and i...
| Authors | Eden Wu, Sonia Castelo, Yurong Liu et al. |
|---|---|
| Primary category | cs.DB |
| Published | 21 July 2026 |
| Last updated at source | 21 July 2026 |
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