Getting Started with Fiberwise

Overview

Fiberwise is a comprehensive AI-powered platform for building intelligent applications with agent systems, LLM providers, and workflow automation. The platform provides:

• Agent-First Architecture: Build intelligent applications with AI agents that think and act
• Multi-Provider LLM Support: Connect OpenAI, Anthropic, Google AI, and more
• Visual Workflow Designer: Drag-and-drop pipeline editor with conditional logic
• Rich App Ecosystem: Pre-built applications for immediate productivity
• Enterprise Security: Role-based access control and encrypted storage

System Requirements

Minimum Requirements

Recommended for Production

• Hardware: 8GB+ RAM, 4+ CPU cores, SSD storage
• Database: PostgreSQL 12+ (SQLite included for development)
• Network: Ports 8000, 5555 available, HTTPS access for LLM providers

Installation

Quick Install (Recommended)

The fastest way to get started with Fiberwise:

pip install fiberwise

fiber setup

fiber start

Development Installation

For developers who want to contribute or customize the platform:

# Clone the repository
git clone https://github.com/fiberwise-ai/fiberwise.git
cd fiberwise

# Install in development mode
pip install -e .

# Install development dependencies
pip install -e ".[test]"

# Initialize platform
fiber setup

# Start in development mode
fiber start --dev

Production Installation

For production deployments with PostgreSQL:

# Install core platform
pip install fiberwise

# Install production dependencies
pip install fiberwise-common[postgres]

# Set environment variables
export FIBERWISE_DATABASE_URL="postgresql://user:pass@localhost/fiberwise"
export FIBERWISE_SECRET_KEY="your-secret-key-here"

# Initialize with PostgreSQL
fiber setup --database-url $FIBERWISE_DATABASE_URL

# Start production server
fiber start --port 80 --workers 4

Configuration

Environment Variables

Configure Fiberwise using environment variables:

Configuration File

Create ~/.fiberwise/config.json for advanced configuration:

{
  "database": {
    "url": "sqlite:///~/.fiberwise/fiberwise.db",
    "type": "sqlite"
  },
  "web": {
    "port": 8000,
    "host": "0.0.0.0"
  },
  "storage": {
    "provider": "local",
    "path": "~/.fiberwise/storage"
  },
  "llm_providers": {
    "default": "openai"
  }
}

First Steps

1. Verify Installation

# Check platform status
fiber status

Expected output:

✓ Database initialized
✓ User account created
✓ Web components ready
✓ Platform operational

2. Access Web Interface

Open your browser and navigate to:

• Main Interface: http://localhost:8000

3. Configure LLM Providers

Add your preferred AI providers:

# Add OpenAI provider
fiber provider add openai --api-key "your-openai-api-key"

# Add Anthropic provider
fiber provider add anthropic --api-key "your-anthropic-api-key"

4. Test Agent Activation

Create and test your first agent:

# Create test agent
echo 'def test_agent(input_data): return {"status": "success", "message": "Hello World"}' > test_agent.py

# Activate agent
fiber activate --input-data '{}' test_agent.py

Next Steps