haive.games.hold_em.engines
===========================

.. py:module:: haive.games.hold_em.engines

.. autoapi-nested-parse::

   Texas Hold'em engines and prompts module - FIXED VERSION.

   This module provides LLM configurations and prompts for Hold'em agents.
   Fixed variable naming consistency issues.



Functions
---------

.. autoapisummary::

   haive.games.hold_em.engines.build_holdem_game_engines
   haive.games.hold_em.engines.build_player_engines
   haive.games.hold_em.engines.create_player_decision_prompt
   haive.games.hold_em.engines.create_style_specific_engines
   haive.games.hold_em.engines.prepare_decision_context
   haive.games.hold_em.engines.prepare_hand_context
   haive.games.hold_em.engines.prepare_opponent_context
   haive.games.hold_em.engines.prepare_situation_context


Module Contents
---------------

.. py:function:: build_holdem_game_engines()

   Build engines for the main game agent.


.. py:function:: build_player_engines(player_name, player_style, heads_up = False)

   Build LLM engines for a player agent.


.. py:function:: create_player_decision_prompt(player_style = 'balanced')

   Create a decision-making prompt based on player style.


.. py:function:: create_style_specific_engines(player_style)

   Create engines optimized for specific playing styles.


.. py:function:: prepare_decision_context(game_state, player, analyses)

   Prepare context dictionary for final decision making.


.. py:function:: prepare_hand_context(game_state, player)

   Prepare context dictionary for hand analysis.


.. py:function:: prepare_opponent_context(game_state, opponents)

   Prepare context dictionary for opponent analysis.


.. py:function:: prepare_situation_context(game_state, player)

   Prepare context dictionary for situation analysis with correct variable names.