- 简介
- 入门指南
- 使用 Maestro BPMN 进行构建
- 使用 Maestro Case 构建
- Maestro Case 简介
- Maestro BPMN 与 Maestro Case 对比:何时使用 Case Management
- Maestro 案例生命周期:从事件触发到应用体验
- 使用 Maestro Case 构建第一个案例
- Build a Maestro Case with a coding agent (preview)
- 定义案例键(系统键与外部键)
- 建立任务 I/O 与回写契约
- 退出规则和早期阶段终止
- 主阶段和次阶段建模
- 从 Data Fabric 触发案例
- 实施阶段级角色和权限
- 设置 SLA 和自动升级规则
- 配置返工循环(重新进入)
- Configuring and testing the Case Manager Agent (preview)
- 案例管理器输入和输出合同
- Maestro Case 组件字典
- 使用 Maestro Flow 进行构建
- Maestro Automate
- What is Maestro Automate?
- Capabilities comparison
- 集成
- 运营
- 监控
- 正在优化
- 参考信息
Maestro Automate: a lightweight Maestro runtime for short-running workflows of AI agents and APIs, built on the Flow canvas.
Maestro Automate is a lightweight runtime for short-running workflows of AI agents and APIs. Workflows are built on the Flow canvas and run on the same Maestro engine as Maestro Orchestrate, with a runtime envelope and a run price sized for work that finishes within minutes or hours.
You choose Maestro Automate when you create the project and the platform governs it from the first run.
Maestro Automate and Maestro Flow share the same build tools, and you can convert between them. For the full comparison, refer to Choosing between Maestro Orchestrate and Maestro Automate.
消耗
Maestro Automate meters consumption per run at a reduced rate compared with Maestro Orchestrate, and a monthly allowance of runs is included, depending on your pricing model and platform tier. For the rates and allowances that apply to your organization, refer to Licensing – Unified Pricing or Licensing – Flex Plan.
Building a Maestro Automate workflow
Maestro Automate workflows are built on the Flow canvas, so the Flow documentation applies without change for functional components. The canvas, node set, evaluations, variables, expressions, control flow, error handling, triggers, and publishing behave the same way. You can create a new Maestro Automate project from any surface that you can build with Maestro Flow.
Refer to the following pages for how to build:
- Getting started: what Flow is and how to build a first workflow
- Core concepts: the canvas, data flow, control flow, and triggers
- Node reference: every available node
- Deploying a Flow: publishing a workflow to Orchestrator
Where Maestro Automate differs
Runtime limits, live-instance control, monitoring, and trace retention are where the two products part ways. Refer to Choosing between Maestro Orchestrate and Maestro Automate for the comparison.