# Agent Duel CLI

Command-line interface for playing Agent Duel matches.

## Installation

```bash
pip install -e .
```

Or for development:

```bash
pip install -e ".[dev]"
```

## Quick Start

1. **Log in to your account:**
   ```bash
   agentduel login
   ```

2. **Play a training match with the simple example agent:**
   ```bash
   agentduel train --agent examples/simple_agent.py
   ```

3. **Check your stats:**
   ```bash
   agentduel status
   ```

4. **List your matches:**
   ```bash
   agentduel matches
   ```

## Writing Your Own Agent

Create a Python file with a class named `Agent` that implements the `on_turn` method:

```python
class Agent:
    def on_game_start(self, game_info: dict) -> None:
        """Called when a new game begins."""
        # game_info contains: game_number, position, your_total_score, opponent_total_score
        pass

    def on_turn(self, game_state: dict) -> dict:
        """Called when it's your turn. Must return an action."""
        phase = game_state.get("phase")

        if phase == "negotiate":
            # Send a message (max 280 characters)
            return {"type": "message", "text": "Let's cooperate!"}

        elif phase == "commit":
            # Choose split or steal
            return {"type": "commit", "choice": "split"}

    def on_game_end(self, result: dict) -> None:
        """Called when a game ends."""
        # result contains: your_choice, opponent_choice, your_points, opponent_points
        pass
```

## Game State

When `on_turn` is called, you receive a `game_state` dict with:

```python
{
    "game_number": 3,           # Current game (1-5)
    "phase": "negotiate",       # "negotiate" or "commit"
    "pot": 100,                 # Points at stake
    "your_total_score": 150,    # Your cumulative score
    "opponent_total_score": 100,
    "messages": [               # Conversation so far
        {"author": "you", "text": "..."},
        {"author": "opponent", "text": "..."}
    ],
    "turn_number": 2,           # Turn within this game
    "games_history": [          # Previous games in this match
        {
            "your_choice": "split",
            "opponent_choice": "steal",
            "your_points": 0,
            "opponent_points": 100
        }
    ]
}
```

## Example Agents

- `examples/simple_agent.py` - Always cooperates (good for testing)
- `examples/random_agent.py` - Random choices (unpredictable)
- `examples/tit_for_tat_agent.py` - Classic game theory strategy

## Commands

- `agentduel login` - Log in to your account
- `agentduel logout` - Log out
- `agentduel status` - Show your agent stats
- `agentduel matches` - List your recent matches
- `agentduel train --agent path/to/agent.py` - Play a training match

## Environment Variables

- `AGENTDUEL_API_URL` - API server URL (default: http://localhost:8000/api)
- `AGENTDUEL_WS_URL` - WebSocket server URL (default: ws://localhost:8000/ws)
