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Examples

This is archived documentation for Robota SDK v2.0.0. For the latest version, see the current documentation.

Comprehensive examples demonstrating all aspects of the Robota SDK.

Basic Examples

Basic Conversation

Learn the fundamentals of Robota with simple AI conversations.

Features Demonstrated:

  • OpenAI Provider setup and configuration
  • Simple message exchange using robota.run()
  • Agent statistics and monitoring
  • Proper resource cleanup

AI with Tools

Integrate function calling capabilities with your AI agents.

Features Demonstrated:

  • Function tool creation with JSON schemas
  • Automatic tool calling by AI agents
  • Tool execution results handling
  • Tool usage statistics

Multi-Provider Support

Use multiple AI providers and models in a single application.

Features Demonstrated:

  • OpenAI with different models (GPT-3.5, GPT-4o-mini)
  • Model comparison and response analysis
  • Independent agent instances
  • Provider-specific configurations

Browser Usage 🌐

Use Robota SDK in browsers, WebWorkers, and modern JavaScript frameworks.

Features Demonstrated:

  • Cross-platform compatibility (Node.js, browsers, WebWorkers)
  • React and Vue integration examples
  • Secure API key management with proxy servers
  • Memory-based storage strategies
  • Browser-specific configuration and optimization
  • Zero breaking changes for existing Node.js code

Advanced Features

assignTask Tool Collection

Use the @robota-sdk/agent-team package as an assignTask MCP tool collection (no team creation APIs).

Features Demonstrated:

  • Built-in template registry (bundled JSON)
  • Template listing and detail lookup
  • assignTask tool execution via Relay MCP Tool

Agent Templates

Use pre-built agent configurations (templates) for specialized tasks.

Features Demonstrated:

  • Template-based agent creation
  • Optimized AI provider selection per template

Execution Analytics

Monitor and analyze agent performance in real-time.

Features Demonstrated:

  • Real-time performance tracking
  • Execution statistics and metrics
  • Error analysis and reporting
  • Memory management and optimization

Agent System

Agents Basic Usage

Explore the comprehensive capabilities of the unified Robota Agent system.

Features Demonstrated:

  • Unified agent architecture with plugins
  • Real-time statistics and monitoring
  • Runtime configuration updates
  • Plugin ecosystem integration

Agents Streaming

Implement real-time streaming responses for interactive applications.

Features Demonstrated:

  • Real-time response streaming
  • Token-by-token processing
  • Performance optimization for streaming
  • Memory-efficient processing

Specialized Features

Session Management

Manage complex conversation sessions with advanced features.

Features Demonstrated:

  • Multi-session conversation management
  • Session persistence and restoration
  • Context switching between sessions

Conversation History

Implement comprehensive conversation storage and retrieval.

Features Demonstrated:

  • Memory, file, and database storage options
  • Conversation search and filtering
  • Message lifecycle management
  • Batch processing and optimization

Function Calling with Zod

Create type-safe function tools using Zod schemas.

Features Demonstrated:

  • Zod schema integration
  • Runtime type validation
  • Type-safe parameter handling
  • Schema-to-JSON conversion

Provider Switching

Dynamically switch between AI providers during execution.

Features Demonstrated:

  • Runtime provider switching
  • Configuration preservation
  • Fallback strategies
  • Provider-specific optimizations

Token Limits

Implement intelligent token management and cost control.

Features Demonstrated:

  • Token usage tracking
  • Cost calculation and monitoring
  • Limit enforcement strategies
  • Budget management

MCP Integration

Connect to external tools using the Model Context Protocol.

Features Demonstrated:

  • MCP client integration
  • External tool discovery
  • Protocol communication
  • Tool schema handling

Module System Integration

Leverage the new Plugin-Module-Separation architecture for enhanced functionality.

Features Demonstrated:

  • Enhanced plugin classification system
  • Custom module development
  • Event-driven module-plugin communication
  • Module registry and lifecycle management
  • Performance monitoring across modules and plugins

Configuration

Setup Guide

Complete setup instructions for all SDK components.

Covers:

  • Environment configuration
  • API key management
  • Package installation
  • Development setup

Real-World Applications

Each example includes:

  • Complete working code - Ready to run examples
  • Type safety - Full TypeScript support
  • Error handling - Robust error management
  • Best practices - Production-ready patterns
  • Performance monitoring - Built-in analytics
  • Resource management - Proper cleanup

Running Examples

  1. Install dependencies:

    bash
    npm install
  2. Configure environment:

    bash
    cp .env.example .env
    # Add your API keys
  3. Run an example:

    bash
    npx tsx examples/01-basic-conversation.ts

Example Categories

By Complexity

  • Beginner: Basic conversation, Simple tools
  • Intermediate: Multi-provider, Team collaboration
  • Advanced: Custom plugins, Complex workflows

By Use Case

  • Chatbots: Basic conversation, Session management
  • Research: Team collaboration, Analytics
  • Development: Function calling, MCP integration
  • Production: Error handling, Performance monitoring

All examples are production-ready and demonstrate best practices for building scalable AI applications with Robota SDK.

🚀 Getting Started

Quick Setup

  1. Clone and Install:

    bash
    git clone https://github.com/your-org/robota.git
    cd robota
    pnpm install
  2. Environment Setup:

bash
cd /path/to/robota
# Set environment variables (or use a root .env)
# OPENAI_API_KEY=...
  1. Run Examples:

    bash

Run any example

npx tsx packages/agents/examples/basic-conversation.ts


## 🎯 Quick Feature Overview

### New Unified Architecture (`@robota-sdk/agent-core`)
The examples showcase the powerful new unified architecture:

- **Zero `any` Types**: Complete TypeScript safety
- **Plugin System**: Modular functionality with built-in plugins
- **Multi-Provider**: Seamless switching between OpenAI, Anthropic, Google
- **Advanced Analytics**: Built-in execution monitoring and performance tracking
- **Tool System**: Type-safe function calling with automatic schema conversion
- **Streaming Support**: Real-time response streaming with metadata

### Core Capabilities Demonstrated

| Feature | Examples | Description |
|---------|----------|-------------|
| **Basic AI Chat** | 01, 10 | Simple conversations and basic setup |
| **Function Calling** | 02 | Tool integration and automated function calls |
| **Multi-Provider** | 03, 07 | OpenAI, Anthropic, Google AI provider usage |
| **Streaming** | 11 | Real-time response streaming |
| **Team Coordination** | 05, 09 | Multi-agent collaboration |
| **Performance Analytics** | 08, 09 | Execution monitoring and optimization |
| **Template Patterns** | 07 | Reusable agent configurations |

## 🔧 Running Examples

### Prerequisites

```bash
# Required environment variables
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key  # For multi-provider examples
GOOGLE_AI_API_KEY=your_google_key     # For Google AI examples

Individual Examples

bash
# Package-owned examples (run from repo root)
npx tsx packages/agents/examples/basic-conversation.ts
npx tsx packages/agents/examples/tool-calling.ts
npx tsx packages/agents/examples/multi-providers.ts
npx tsx packages/openai/examples/payload-logging.ts
npx tsx packages/team/examples/assign-task-basic.ts

Run All Examples

bash
# Run a sequence of examples to see progression
npm run examples:basic     # Basic examples (01, 02, 10)
npm run examples:advanced  # Advanced examples (03, 07, 08, 11)
npm run examples:all       # All examples in sequence

🎨 Example Structure

Each example follows a consistent structure:

typescript
/**
 * XX-example-name.ts
 *
 * Brief description of what this example demonstrates:
 * - Key feature 1
 * - Key feature 2
 * - Key feature 3
 */

import {} from /* required imports */ '@robota-sdk/agent-core';
import dotenv from 'dotenv';

dotenv.config();

async function main() {
  try {
    // Example implementation
    console.log('🚀 Example Started...');

    // Create agents, configure providers, demonstrate features

    console.log('✅ Example Completed!');
  } catch (error) {
    console.error('❌ Error:', error);
    process.exit(1);
  } finally {
    // Cleanup resources
    process.exit(0);
  }
}

main();

📊 Performance Considerations

The examples are optimized for learning and demonstration:

  • Minimal Token Usage: Short queries to reduce API costs
  • Error Handling: Robust error handling and recovery
  • Resource Cleanup: Proper cleanup to prevent memory leaks
  • Performance Monitoring: Built-in timing and analytics

💡 Tips for Learning

  1. Start Simple: Begin with basic conversation example
  2. Read Comments: Each example has detailed inline comments
  3. Experiment: Modify examples to explore different configurations
  4. Check Output: Expected output is documented for each example
  5. Use TypeScript: Examples showcase full type safety benefits
  6. Monitor Performance: Use analytics examples to optimize your usage

Happy coding with Robota! 🤖

Released under the MIT License.