Documentation

Introduction

Flunk is a powerful platform for building, training, and deploying intelligent agents. Our framework makes it easy to create AI-powered applications that can understand context, learn from interactions, and solve complex problems.

                        
const agent = new FlunkAgent({
    model: 'gpt-4',
    context: 'development',
    capabilities: ['code', 'analysis']
});

await agent.train(customData);
const response = await agent.chat("Let's solve this!");
                    

Installation

Get started with Flunk by installing our package via npm:

npm install @flunk/core

Or using yarn:

yarn add @flunk/core

For advanced features, you might also want to install additional packages:

npm install @flunk/agents @flunk/models @flunk/training

Quick Start

Create your first intelligent agent in just a few steps:

                        
import { FlunkAgent } from '@flunk/core';

// Initialize agent
const agent = new FlunkAgent({
    model: 'gpt-4',
    temperature: 0.7,
    maxTokens: 2000
});

// Add capabilities
await agent.addCapabilities([
    'natural-language',
    'code-generation',
    'analysis'
]);

// Start conversation
const response = await agent.chat('Hello, can you help me with coding?');
                    

Agents

Agents are the core building blocks of Flunk. Each agent can be customized with specific capabilities, knowledge, and behaviors.

                        
// Create specialized agent
const codeReviewAgent = new FlunkAgent({
    model: 'gpt-4',
    role: 'code-reviewer',
    context: [
        { role: 'system', content: 'Expert in code review and best practices' }
    ],
    capabilities: ['code-analysis', 'security-check', 'optimization']
});

// Add custom knowledge
await codeReviewAgent.learn('./data/coding-standards.json');

// Start code review
const review = await codeReviewAgent.analyze(sourceCode);
                    

Models

Flunk supports various language models and allows easy switching between them:

                        
// Available models
const models = {
    'gpt-4': { maxTokens: 8192, features: ['code', 'analysis'] },
    'claude-3': { maxTokens: 100000, features: ['long-context'] },
    'palm-2': { maxTokens: 4096, features: ['structured-output'] }
};

// Switch models dynamically
await agent.switchModel('claude-3', {
    temperature: 0.8,
    topP: 0.9
});
                    

Training

Customize your agents with domain-specific knowledge and behaviors:

                        
// Prepare training data
const trainingData = {
    conversations: [...],
    examples: [...],
    rules: [...]
};

// Train the agent
await agent.train(trainingData, {
    epochs: 5,
    validationSplit: 0.2
});

// Save trained state
await agent.save('./models/trained-agent');
                    

Deployment

Deploy your agents to production environments:

                        
import { FlunkDeploy } from '@flunk/deploy';

const deployment = new FlunkDeploy({
    agent,
    environment: 'production',
    scaling: {
        min: 1,
        max: 10,
        target: 'cpu'
    },
    monitoring: true
});

await deployment.start();
                    

Monitoring

Track your agents' performance and behavior in real-time:

                        
import { FlunkMonitor } from '@flunk/monitor';

const monitor = new FlunkMonitor(agent, {
    metrics: ['performance', 'accuracy', 'latency'],
    alerts: {
        errorRate: { threshold: 0.01, action: 'notify' },
        latency: { threshold: 500, action: 'scale' }
    }
});

monitor.on('alert', (metric, value) => {
    console.log(`Alert: ${metric} exceeded threshold: ${value}`);
});
                    

Scaling

Scale your agent infrastructure to handle increased load:

                        
import { FlunkCluster } from '@flunk/scale';

const cluster = new FlunkCluster({
    agents: [agent1, agent2, agent3],
    loadBalancer: {
        strategy: 'round-robin',
        healthCheck: true
    },
    autoScale: {
        metric: 'requests',
        target: 1000,
        cooldown: 300
    }
});

await cluster.start();
                    