智能体工作流编排数据集

本数据集聚焦智能体工作流编排全生命周期，覆盖数据处理流水线、智能客服、内容生成、多模型协同、跨系统自动化等领域。数据内容包括工作流定义（DAG节点与依赖）、节点配置（智能体调用、参数映射、重试策略）、执行实例（触发时间、状态、耗时）、节点执行日志（输入输出摘要、错误信息）及性能指标（端到端时长、成功率、资源消耗）。适用于工作流智能生成、执行性能分析、故障预测、资源调度优化、流程挖掘及低代码编排工具评估等场景。This dataset focuses on the full lifecycle of AI Agent workflow orchestration, covering various domains including data processing pipelines, intelligent customer service, content generation, multi-model collaboration, cross-system automation and more. The data content includes workflow definitions (DAG nodes and dependencies), node configurations (Agent invocation, parameter mapping, retry strategies), execution instances (trigger time, status, time consumption), node execution logs (input/output summaries, error messages) and performance metrics (end-to-end duration, success rate, resource consumption). It is applicable to scenarios such as intelligent workflow generation, execution performance analysis, fault prediction, resource scheduling optimization, process mining and low-code orchestration tool evaluation.

搜集汇总

背景与挑战

背景概述

该数据集专注于智能体工作流编排的全生命周期，涵盖数据处理、智能客服、内容生成、多模型协同和跨系统自动化等多个领域。数据内容包括工作流定义、节点配置、执行实例、节点执行日志和性能指标，适用于工作流智能生成、性能分析、故障预测和资源调度优化等场景。