Skip to main content

​
Agent Planning

Planning enables Agents to break down complex tasks into manageable steps. Use the simplified PlanningAgent for automatic plan creation and execution. The PlanningAgent automatically creates and executes plans: 
import { PlanningAgent } from 'praisonai';

const agent = new PlanningAgent({
  instructions: 'You break down tasks into clear steps.',
  maxSteps: 5  // Limit steps per plan
});

// Create and execute a plan in one call
const result = await agent.planAndExecute('Build a simple web scraper');

console.log('Plan:', result.plan.name);
console.log('Steps:', result.plan.steps.length);
console.log('Success:', result.success);
console.log('Results:', result.results);

​
Create Plan Only

Create a plan without executing: 
import { PlanningAgent } from 'praisonai';

const agent = new PlanningAgent();

// Just create the plan
const plan = await agent.createPlan('Launch a new product');

console.log('Plan steps:');
plan.steps.forEach((step, i) => {
  console.log(`${i + 1}. ${step.description}`);
});

// Execute steps manually
for (const step of plan.steps) {
  const result = await agent.executeStep(step);
  console.log(`Completed: ${step.description}`);
}

​
TaskAgent for Todo Lists

Use TaskAgent for simple task management: 
import { TaskAgent } from 'praisonai';

const agent = new TaskAgent();

// Add tasks with priorities
agent.addTask('Fix critical bug', 'high');
agent.addTask('Write documentation', 'medium');
agent.addTask('Review PR', 'low');

// Check pending tasks
console.log('Pending:', agent.getPendingTasks().length);

// Complete a task
agent.completeTask('bug');

// Get progress
console.log('Progress:', agent.getProgress().percentage + '%');

// Chat about tasks
const response = await agent.chat('What should I work on next?');

​
Advanced: Custom Planning with Tools

For more control, create custom planning tools: 
import { Agent, Plan, PlanStep, createTool } from 'praisonai';

const createPlanTool = createTool({
  name: 'create_plan',
  description: 'Create a step-by-step plan',
  parameters: {
    type: 'object',
    properties: {
      name: { type: 'string' },
      steps: { type: 'array', items: { type: 'string' } }
    },
    required: ['name', 'steps']
  },
  execute: async ({ name, steps }) => {
    const plan = new Plan({ name });
    steps.forEach((step: string) => plan.addStep(new PlanStep({ description: step })));
    return `Created plan "${name}" with ${steps.length} steps`;
  }
});

const agent = new Agent({
  instructions: 'Break down tasks into plans.',
  tools: [createPlanTool]
});

await agent.chat('Create a plan for building a web app');

​
Multi-Agent Planning

Agents collaborate on a shared plan: 
import { Agent, Plan, PlanStep, Agents } from 'praisonai';

const sharedPlan = new Plan({ name: 'Product Launch' });

// Planner Agent creates the plan
const plannerAgent = new Agent({
  name: 'Planner',
  instructions: 'Create detailed project plans with clear steps.'
});

// Executor Agents work on steps
const devAgent = new Agent({
  name: 'Developer',
  instructions: 'Execute technical development steps.'
});

const marketingAgent = new Agent({
  name: 'Marketer',
  instructions: 'Execute marketing and launch steps.'
});

async function collaborativePlanning(goal: string) {
  // Planner creates the plan
  const planDescription = await plannerAgent.chat(`Create a plan for: ${goal}`);
  
  // Parse and create steps
  const steps = planDescription.split('\n').filter(s => s.trim());
  steps.forEach(step => sharedPlan.addStep(new PlanStep({ description: step })));
  
  // Execute steps with appropriate agents
  for (const step of sharedPlan.steps) {
    step.start();
    
    const agent = step.description.includes('develop') ? devAgent : marketingAgent;
    await agent.chat(`Execute this step: ${step.description}`);
    
    step.complete();
    
    const progress = sharedPlan.getProgress();
    console.log(`Progress: ${progress.percentage}%`);
  }
  
  sharedPlan.complete();
}

await collaborativePlanning('Launch new feature');

​
Agent with Todo List

Agents manage tasks with priorities: 
import { Agent, TodoList, TodoItem, createTool } from 'praisonai';

const todos = new TodoList('Agent Tasks');

const addTaskTool = createTool({
  name: 'add_task',
  description: 'Add a task to the todo list',
  parameters: {
    type: 'object',
    properties: {
      task: { type: 'string', description: 'Task description' },
      priority: { type: 'string', enum: ['low', 'medium', 'high'], description: 'Priority' }
    },
    required: ['task']
  },
  execute: async ({ task, priority = 'medium' }) => {
    todos.add(new TodoItem({ content: task, priority }));
    return `Added: ${task} (${priority} priority)`;
  }
});

const completeTaskTool = createTool({
  name: 'complete_task',
  description: 'Mark a task as complete',
  parameters: {
    type: 'object',
    properties: {
      task: { type: 'string', description: 'Task to complete' }
    },
    required: ['task']
  },
  execute: async ({ task }) => {
    const item = todos.items.find(t => t.content.includes(task));
    if (item) {
      item.complete();
      return `Completed: ${task}`;
    }
    return `Task not found: ${task}`;
  }
});

const getTasksTool = createTool({
  name: 'get_tasks',
  description: 'Get pending tasks',
  parameters: { type: 'object', properties: {} },
  execute: async () => {
    const pending = todos.getPending();
    return pending.map(t => `[${t.priority}] ${t.content}`).join('\n') || 'No pending tasks';
  }
});

const taskAgent = new Agent({
  name: 'Task Manager',
  instructions: `You manage a todo list. 
- Add tasks with appropriate priorities
- Complete tasks when done
- Check pending tasks regularly`,
  tools: [addTaskTool, completeTaskTool, getTasksTool]
});

await taskAgent.chat('Add high priority task: Fix critical bug');
await taskAgent.chat('Add medium priority task: Write documentation');
await taskAgent.chat('What tasks are pending?');
await taskAgent.chat('Complete the bug fix task');

​
Agent with Adaptive Planning

Agent adjusts plan based on results: 
import { Agent, Plan, PlanStep, createTool } from 'praisonai';

let currentPlan: Plan | null = null;

const createPlanTool = createTool({
  name: 'create_plan',
  description: 'Create an execution plan',
  parameters: {
    type: 'object',
    properties: {
      name: { type: 'string' },
      steps: { type: 'array', items: { type: 'string' } }
    },
    required: ['name', 'steps']
  },
  execute: async ({ name, steps }) => {
    currentPlan = new Plan({ name });
    steps.forEach((s: string) => currentPlan!.addStep(new PlanStep({ description: s })));
    return `Plan created with ${steps.length} steps`;
  }
});

const executeStepTool = createTool({
  name: 'execute_step',
  description: 'Execute the next pending step',
  parameters: { type: 'object', properties: {} },
  execute: async () => {
    if (!currentPlan) return 'No plan exists';
    
    const nextStep = currentPlan.steps.find(s => s.status === 'pending');
    if (!nextStep) return 'All steps completed';
    
    nextStep.start();
    // Simulate execution with possible failure
    const success = Math.random() > 0.2;
    
    if (success) {
      nextStep.complete();
      return `Completed: ${nextStep.description}`;
    } else {
      nextStep.fail();
      return `Failed: ${nextStep.description} - needs replanning`;
    }
  }
});

const replanTool = createTool({
  name: 'replan',
  description: 'Add recovery steps after a failure',
  parameters: {
    type: 'object',
    properties: {
      recoverySteps: { type: 'array', items: { type: 'string' } }
    },
    required: ['recoverySteps']
  },
  execute: async ({ recoverySteps }) => {
    if (!currentPlan) return 'No plan exists';
    
    recoverySteps.forEach((s: string) => {
      currentPlan!.addStep(new PlanStep({ description: s }));
    });
    
    return `Added ${recoverySteps.length} recovery steps`;
  }
});

const adaptiveAgent = new Agent({
  name: 'Adaptive Planner',
  instructions: `You create and execute plans adaptively.
- Create a plan first
- Execute steps one by one
- If a step fails, add recovery steps and continue
- Report final status`,
  tools: [createPlanTool, executeStepTool, replanTool]
});

await adaptiveAgent.chat('Deploy the application to production');

​
Plan Progress Tracking

import { Agent, Plan, PlanStep } from 'praisonai';

const plan = new Plan({ name: 'Data Pipeline' });
plan.addStep(new PlanStep({ description: 'Extract data' }));
plan.addStep(new PlanStep({ description: 'Transform data' }));
plan.addStep(new PlanStep({ description: 'Load to warehouse' }));
plan.addStep(new PlanStep({ description: 'Validate results' }));

// Track progress
plan.steps[0].complete();
plan.steps[1].complete();

const progress = plan.getProgress();
console.log(`Progress: ${progress.completed}/${progress.total} (${progress.percentage}%)`);
// Progress: 2/4 (50%)

​
Persistent Plans

Save and restore Agent plans: 
import { Agent, PlanStorage, Plan, TodoList } from 'praisonai';

const storage = new PlanStorage();

// Save Agent's plan
const plan = new Plan({ name: 'Long Running Task' });
plan.addStep(new PlanStep({ description: 'Step 1' }));
plan.addStep(new PlanStep({ description: 'Step 2' }));
storage.savePlan(plan);

// Later: restore and continue
const restored = storage.getPlan(plan.id);
const nextStep = restored.steps.find(s => s.status === 'pending');
// Agent continues from where it left off