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Initial Setup & Configuration

Antilogix is designed to get you up and running with a production-ready AI agent in under 5 minutes.

1. Installation

Install the framework from PyPI:

pip install antilogix

2. Create a New Project

Antilogix includes a CLI tool to scaffold your application structure. Run the following command to create a new agent:

antilogix new my_agent_app
cd my_agent_app

This will create the following structure:

  • app/: Your source code (agents, API routes, workflows).
  • config/: Configuration files.
  • .env: API keys and secrets.
  • sentinel.yaml: Main configuration file.
  • main.py: The entry point for your application.

3. Configuration (sentinel.yaml)

The behavior of your agent is controlled by sentinel.yaml. You can configure your LLM provider, debug mode, and application settings here.

app_name: "My Antilogix Agent"
version: "1.0.0"
debug: true

# Brain Configuration (LLM)
llm:
  provider: "openai"  # Options: "openai", "gemini", "ollama"
  model: "gpt-4o"
  temperature: 0.7
  # base_url: "..." # Optional: For local LLMs or proxies

# Memory Configuration
memory:
  provider: "mem0"
  user_id: "default_user"

4. Environment Variables (.env)

Never commit API keys to version control. Antilogix automatically loads variables from the .env file in your project root.

Example .env:

```Ini, TOML

OpenAI Key

OPENAI_API_KEY=sk-proj-...

Google Gemini Key

GEMINI_API_KEY=AIzaSy...

Mem0 Key (Optional - for long-term memory)

MEM0_API_KEY=m0-xxx...


## 5. Running the App

Start the server using the entry point:

```Bash
python main.py