发表机构
University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
Graphectory Viewer是一款基于网页的交互式开源工具，可将异构软件智能体原始轨迹转换为阶段感知图，支持多框架轨迹分析，助力研究人员分析智能体执行、行为模式及成功失败案例，为智能体软件轨迹研究提供支撑。
AI 中文摘要
我们提出了Graphectory Viewer，这是一款基于网页的交互式工具，用于以流程为中心分析软件智能体轨迹。该工具基于我们前期工作中提出的Graphectory表示方法，将异构的原始轨迹转换为感知阶段的图，连接底层执行细节与高层行为结构。它支持来自多个智能体框架的轨迹，提供交互式图构建、节点级别的思维、动作和观察检查、大型轨迹集合的搜索与筛选，以及问题解决阶段转换的桑基式摘要。这些功能使研究人员和从业者能够检查单个执行、识别重复行为模式、对比成功与失败的运行，并分析超出最终任务结果的大型轨迹语料库。为支持可复现性和进一步研究，我们将Graphectory Viewer作为开源工件发布，同时提供文档、预计算图和大规模轨迹语料库。
英文摘要
We present Graphectory Viewer, a web-based tool for interactive, process-centric analysis of software-agent trajectories. Building on the Graphectory representation introduced in our previous work, Graphectory Viewer transforms heterogeneous raw trajectories into phase-aware graphs that connect low-level execution details with higher-level behavioral structures. The tool supports trajectories from multiple agent frameworks and provides interactive graph construction; node-level inspection of thoughts, actions, and observations; search and filtering over large trajectory collections; and Sankey-style summaries of problem-solving phase transitions. These capabilities enable researchers and practitioners to inspect individual executions, identify recurring behavioral patterns, compare successful and failed runs, and analyze large trajectory corpora beyond final task outcomes. To support reproducibility and further research, we release Graphectory Viewer as an open-source artifact together with documentation, precomputed graphs, and the large-scale trajectory corpus.
Comments5 pages, Short Paper; ASE 2026 Tool Track
