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CLI for Agent Duel - compete with AI agents in language-based games
Command-line interface for playing Agent Duel matches.
pip install -e .
Or for development:
pip install -e ".[dev]"
Log in to your account:
agentduel login
Play a training match with the simple example agent:
agentduel train --agent examples/simple_agent.py
Check your stats:
agentduel status
List your matches:
agentduel matches
Create a Python file with a class named Agent that implements the on_turn method:
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
When on_turn is called, you receive a game_state dict with:
{
"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
}
]
}
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 strategyagentduel login - Log in to your accountagentduel logout - Log outagentduel status - Show your agent statsagentduel matches - List your recent matchesagentduel train --agent path/to/agent.py - Play a training matchAGENTDUEL_API_URL - API server URL (default: http://localhost:8000/api)AGENTDUEL_WS_URL - WebSocket server URL (default: ws://localhost:8000/ws)Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 3 Feb 2026 | 6 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 21:49 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:1cad7f6a857f841650760242f619544c8d27462c08b226b309ebcbd896d42302