AgentTrails: Towards Trust and Reuse for Agentic Tasks
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64
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75
Popularity
40
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Merged summary
TL;DR - AgentTrails converts chronological LLM-agent logs into provenance graphs that expose dependencies among tool calls and artifacts. This representation improves execution comparison, debugging, analysis, and reuse.
- Models tool calls as computational actions and their inputs and outputs as data artifacts.
- Aligns multiple executions in a joined quotient graph to identify recurring tools, artifacts, and dependency structures.
- Supports pattern extraction, downstream analysis, and abstraction of repeated behaviors into skills.
- Demonstrations on real-world trajectories reveal hidden dependencies and recurring tool-use patterns obscured by chronological logs.
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AgentTrails: Towards Trust and Reuse for Agentic Tasks
Public signals
Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - AgentTrails converts chronological LLM-agent logs into provenance graphs that expose dependencies among tool calls and artifacts. This representation improves execution comparison, debugging, analysis, and reuse.
- Models tool calls as computational actions and their inputs and outputs as data artifacts.
- Aligns multiple executions in a joined quotient graph to identify recurring tools, artifacts, and dependency structures.
- Supports pattern extraction, downstream analysis, and abstraction of repeated behaviors into skills.
- Demonstrations on real-world trajectories reveal hidden dependencies and recurring tool-use patterns obscured by chronological logs.