Getting Started with Dotbase

This guide will help you start building your first agent workforce using Dotbase.

Prerequisites

• Active Dotbase account

• Basic understanding of Python (for custom functions)

Quick Start

1. Access the IDE

   • Log in to your account

2. Configure API Keys

   • Click "IDE Settings" in the top bar

   • Enter your LLM API key

   • Save configuration

Building Your First Workforce

1. Add Agents

From the Library Panel, drag and drop:

• AssistantAgent

• UserProxy

• GroupChat

2. Configure Agents

For AssistantAgent:

• Set system prompt

• Configure model parameters

• Add custom functions if needed

3. Connect Components

• Use handles to connect agents

• Green handles indicate compatible connections

• Connect agents to GroupChat for collaboration

4. Test Your Workforce

• Use the testing panel to interact

• Monitor agent communications

• Debug and adjust as needed

5. Export and Deploy

# Export as Python script
File > Export As > Python Code

# Run locally
pip install pyautogen
python your_workforce.py

Common Configurations

# Example AssistantAgent configuration
{
    "name": "analyst",
    "system_prompt": "You are a data analyst...",
    "model": "llama-3b",
    "temperature": 0.7
}

Troubleshooting

• Connection Issues: Verify handle colors match

• Export Errors: Check all required components are connected

• Runtime Errors: Validate API keys and configurations