arena-pokerkit

You can build and test a poker bot by using a hybrid engine that combines heuristic core logic with LLM escalation, running local self-play matches to validate baseline strategy before deploying to the public leaderboard.

LLM escalation integrates a high-speed deterministic heuristic core with an on-demand LLM brain, routing complex poker decisions to the LLM while relying on heuristics for standard gameplay to optimize speed and accuracy.

Yes, you need Python 3.11 or higher with uv, along with treys and pokerkit dependencies, to manage the game loop and agent-environment interaction for the poker bot benchmark.

You can automate strategy optimization through a self-improving loop that uses an automated coach to analyze SQLite-backed match reports and propose A/B testing adjustments for the poker agent.

The best way to analyze poker bot performance is through SQLite-backed reporting, which records match data from self-play sessions to enable automated evaluation and strategy iteration.

Yes, arena-pokerkit supports deploying your bot to the public leaderboard with a single command after validating your agent's logic through local self-play matches and performance analysis.