Astreus

调度器

在 Astreus 文档中了解 调度器,获取用于构建智能体系统的设置指导、API 模式和实用示例。 了解构建可靠的 Astreus 智能体系统所需的设置模式、API 和实用示例。

只需极少配置即可实现的简单定时执行

概述

Astreus 调度器通过直观的调度字符串,为任务和 Graph 提供简单的定时执行功能。无需复杂配置——只需添加一个 schedule 字段即可!

基本任务调度

使用简单的语法调度单个任务:

import { Agent } from '@astreus-ai/astreus';

const agent = await Agent.create({
  name: 'SchedulerAgent',
  model: 'gpt-4o'
});

// Create a scheduled task - scheduler starts automatically when needed
const scheduledTask = await agent.createTask({
  prompt: 'Generate monthly report for December',
  schedule: 'once@2024-12-25@09:00'
});

// Create a recurring task
const dailyTask = await agent.createTask({
  prompt: 'Daily health check and status report',
  schedule: 'daily@08:00'
});

// Execute the task - scheduler will handle the scheduling automatically
await agent.executeTask(scheduledTask.id);

调度配置

使用简单的调度字符串即可轻松完成配置:

// Supported schedule formats:
'daily@07:00'                    // Daily at 7 AM
'weekly@monday@09:00'            // Weekly on Monday at 9 AM
'monthly@1@10:00'                // Monthly on 1st day at 10 AM
'hourly'                         // Every hour (default time)
'@15:30'                         // Once today at 3:30 PM
'once@2024-12-25@10:00'          // Once on specific date and time

// Delay-based schedules:
'after:5s'                       // Run after 5 seconds
'after:30m'                      // Run after 30 minutes
'after:2h'                       // Run after 2 hours

// Examples:
await agent.createTask({
  prompt: 'Morning briefing',
  schedule: 'daily@08:00'
});

await agent.createTask({
  prompt: 'Weekly report',
  schedule: 'weekly@friday@17:00'
});

带依赖关系的 Graph 调度

通过智能依赖解析来调度 Graph:

import { Graph } from '@astreus-ai/astreus';

const graph = new Graph({
  name: 'Morning Workflow',
  defaultAgentId: agent.id
}, agent);

// Node A: Data collection at 6 AM
const nodeA = graph.addTaskNode({
  name: 'Data Collection',
  prompt: 'Collect overnight data from all sources',
  schedule: 'once@2024-12-20@06:00'
});

// Node B: Processing (depends on A completing first)
const nodeB = graph.addTaskNode({
  name: 'Data Processing',
  prompt: 'Process collected data and generate insights',
  schedule: 'once@2024-12-20@07:00',
  dependsOn: ['Data Collection'] // Must wait for A
});

// Node C: Report generation at 8 AM
const nodeC = graph.addTaskNode({
  name: 'Report Generation',
  prompt: 'Generate morning executive report',
  schedule: 'once@2024-12-20@08:00',
  dependsOn: ['Data Processing']
});

// Execute - scheduler starts automatically for scheduled nodes
await graph.run();

// Result: A runs at 06:00, B waits and runs after A (~06:05), C runs at 08:00

循环调度模式

创建复杂的循环调度:

1

每日调度

// Every day at 8 AM
{
  type: 'recurring',
  executeAt: new Date('2024-12-20T08:00:00Z'),
  recurrence: {
    pattern: 'daily',
    interval: 1,
    maxExecutions: 365 // Stop after 1 year
  }
}

// Every 3 days
{
  type: 'recurring',
  executeAt: new Date('2024-12-20T08:00:00Z'),
  recurrence: {
    pattern: 'daily',
    interval: 3
  }
}
2

每周调度

// Every Monday at 9 AM
{
  type: 'recurring',
  executeAt: new Date('2024-12-23T09:00:00Z'), // Monday
  recurrence: {
    pattern: 'weekly',
    interval: 1,
    daysOfWeek: [1] // Monday
  }
}

// Every Monday and Friday
{
  type: 'recurring',
  executeAt: new Date('2024-12-23T09:00:00Z'),
  recurrence: {
    pattern: 'weekly',
    interval: 1,
    daysOfWeek: [1, 5] // Monday and Friday
  }
}
3

每月与每年调度

// 15th of every month
{
  type: 'recurring',
  executeAt: new Date('2024-12-15T10:00:00Z'),
  recurrence: {
    pattern: 'monthly',
    interval: 1,
    dayOfMonth: 15
  }
}

// Every January 1st
{
  type: 'recurring',
  executeAt: new Date('2025-01-01T00:00:00Z'),
  recurrence: {
    pattern: 'yearly',
    interval: 1,
    monthOfYear: 1
  }
}

依赖解析逻辑

调度器会智能地解决调度时间与依赖关系之间的冲突:

场景行为
节点调度时间早于依赖项等待依赖项完成
节点调度时间晚于依赖项按调度时间运行
多个依赖项等待所有依赖项完成
循环依赖在校验阶段抛出错误
混合调度节点与即时节点可无缝协同工作

调度器为构建自动化的、遵循依赖关系并能随需求扩展的定时 AI 工作流提供了坚实的基础。

最后更新时间:2026年7月6日