# 📚 Documentation

Welcome to the comprehensive Freddy platform documentation. Here you'll find guides, tutorials, best practices, and everything you need to get started with the Freddy AI platform.

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📚 Documentation
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Comprehensive guides, tutorials, and best practices
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🚀 Get Started
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🔌 API Reference
## 🚀 Quick Start

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1️⃣ Getting Started
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New to Freddy? Start here for a complete overview and setup guide.
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Read Guide →
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2️⃣ Authentication
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Learn how to authenticate and secure your API requests.
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Learn More →
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3️⃣ Code Examples
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Practical examples and code snippets in multiple languages.
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View Examples →
## 📖 Documentation Sections

### 🔰 Fundamentals

- **[Platform Overview](#platform-overview)** - Understanding the Freddy AI platform
- **[Quick Start Guide](#quick-start)** - Get up and running in minutes
- **[Authentication Methods](#authentication)** - Security and API access
- **[API Reference](/docs/api-reference/introduction)** - Complete endpoint documentation


### 🔌 API Documentation

- **[API Reference](/docs/api-reference/introduction)** - Complete API endpoint documentation
- **[Authentication Guide](/docs/api-reference/authentication)** - How to authenticate with the API
- **[Debugging Guide](/docs/api-reference/debugging)** - Understanding API responses and errors


### 🎯 Advanced Topics

- **[Best Practices](#best-practices)** - Recommended patterns and practices
- **[Rate Limiting](#rate-limiting)** - Understanding API limits and quotas
- **[Performance Tips](#performance)** - Optimizing your API usage
- **[Security Guidelines](#security)** - Keeping your integration secure


### 🛠️ Integration Guides

- **[Web Applications](#web-integration)** - Integrate with web applications
- **[Mobile Applications](#mobile-integration)** - Mobile app integration patterns
- **[Webhook Integration](#webhooks)** - Real-time notifications and events
- **[Custom Solutions](#custom-integration)** - Building custom integrations


## 🎓 Tutorials

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📚 Step-by-Step Tutorials
**Beginner Tutorials:**

- [Building Your First Chat Application](#first-chat-app) - Create a simple AI chat interface
- [User Authentication Setup](#auth-setup) - Implement secure user authentication
- [Making Your First API Call](#first-api-call) - Get started with the API


**Intermediate Tutorials:**

- [Building a Dashboard with Analytics](#analytics-dashboard) - Create usage dashboards
- [Implementing Real-time Features](#realtime-features) - Add live updates to your app
- [Advanced Authentication Patterns](#advanced-auth) - Complex auth scenarios


**Advanced Tutorials:**

- [Custom AI Model Integration](#custom-ai-models) - Integrate custom AI models
- [Scaling Your Application](#scaling) - Handle high-volume usage
- [Performance Optimization](#performance) - Optimize for speed and efficiency


## 🔍 Search & Navigation

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🔍 Find What You Need
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Use your browser's search (Ctrl+F / Cmd+F) to quickly find specific topics, or browse through the organized sections above.
**Popular Searches:**

- Authentication methods
- API rate limits
- Error codes
- Code examples
- Integration guides


## 🆘 Need Help?

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📖 Documentation
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Browse our comprehensive guides
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Browse Docs
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🔌 API Reference
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Interactive API documentation
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View APIs
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🌐 Hub
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Access the main application
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Open Hub
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📧 Support
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Contact our technical team
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Get Support
## 📈 What's New

- ✅ **196+ API Endpoints** documented with interactive examples
- ✅ **Auto-sync** documentation with backend changes
- ✅ **Enhanced tutorials** with step-by-step guides
- ✅ **Code examples** in multiple programming languages
- ✅ **Postman collections** for easy API testing


*Documentation automatically updated with platform changes*

## 📋 Detailed Sections

### Platform Overview {#platform-overview}

Freddy is a comprehensive AI-powered backend system that provides:

- **🤖 AI Intelligence** - Multiple AI model support (OpenAI, Anthropic, Google)
- **👥 User Management** - Complete authentication and user lifecycle
- **🏢 Organization Tools** - Multi-tenant architecture with role-based access
- **📊 Analytics & Monitoring** - Real-time usage tracking and insights
- **💰 Billing & Finance** - Automated usage-based billing system


### Authentication {#authentication}

The Freddy API uses API keys for authentication. All requests must include your API key in the header:


```bash
curl -H "api-key: ak_your_api_key_here" https://api.freddy.ai/v2/endpoint
```

**Getting Your API Key:**

1. Log in to the [Freddy Hub](https://freddy-hub.com)
2. Navigate to Settings → API Keys
3. Click "Create New API Key"
4. Copy and securely store your key


### Error Handling {#error-handling}

The API returns standard HTTP status codes and structured error responses:


```json
{
  "detail": "Error message",
  "status_code": 400,
  "error_type": "ValidationError"
}
```

**Common Status Codes:**

- `200` - Success
- `400` - Bad Request (validation error)
- `401` - Unauthorized (invalid API key)
- `429` - Too Many Requests (rate limited)
- `500` - Internal Server Error


### Rate Limiting {#rate-limiting}

API requests are rate limited based on your service tier:

- **Standard**: 100 requests/minute
- **Premium**: 1000 requests/minute
- **Enterprise**: Custom limits


Rate limit headers are included in every response:


```
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1234567890
```

### Best Practices {#best-practices}

**🔐 Security:**

- Never expose API keys in client-side code
- Use environment variables for API keys
- Implement proper error handling
- Validate all user inputs


**⚡ Performance:**

- Cache responses when appropriate
- Use pagination for large datasets
- Implement exponential backoff for retries
- Monitor your usage and rate limits


**🛠️ Development:**

- Use the interactive API docs for testing
- Implement proper logging and monitoring
- Follow RESTful conventions
- Keep your API keys secure


### Tutorial Sections

#### Building Your First Chat Application {#first-chat-app}

Create a simple chat interface using the Freddy API:

1. **Set up authentication** with your API key
2. **Create a chat session** using the `/v2/threads` endpoint
3. **Send messages** using the `/v2/messages` endpoint
4. **Get AI responses** using the `/v2/model/response` endpoint


#### User Authentication Setup {#auth-setup}

Implement secure user authentication:

1. **User Registration** - `/v2/auth/register`
2. **Email Verification** - `/v2/auth/verify-email`
3. **User Login** - `/v2/auth/login`
4. **Session Management** - Handle JWT tokens securely


#### Making Your First API Call {#first-api-call}

Get started with a simple API request:


```bash
curl -X GET "https://api.freddy.ai/v2/models" \
  -H "api-key: ak_your_api_key_here"
```

This returns a list of available AI models you can use.

### Integration Guides

#### Web Integration {#web-integration}

Integrate Freddy into web applications:

- Use HTTPS for all API calls
- Implement proper CORS handling
- Store API keys securely on the server
- Use WebSockets for real-time features


#### Mobile Integration {#mobile-integration}

Best practices for mobile apps:

- Store API keys in secure storage
- Implement offline functionality
- Handle network connectivity issues
- Optimize for mobile data usage


#### Webhook Integration {#webhooks}

Set up real-time notifications:

- Configure webhook endpoints
- Verify webhook signatures
- Handle webhook retries
- Process events asynchronously


#### Custom Integration {#custom-integration}

Build custom solutions:

- Generate client SDKs
- Implement custom authentication
- Build monitoring and alerting


### Performance & Scaling

#### Performance Tips {#performance}

Optimize your API usage:

- Use appropriate pagination
- Implement caching strategies
- Batch requests when possible
- Monitor response times


#### Scaling Your Application {#scaling}

Handle high-volume usage:

- Implement connection pooling
- Use load balancing
- Monitor rate limits
- Plan for traffic spikes


#### Security Guidelines {#security}

Keep your integration secure:

- Use HTTPS everywhere
- Validate all inputs
- Implement proper authentication
- Monitor for suspicious activity


*This documentation is automatically updated with platform changes*