games.go.engines

Go game engines using AugLLMConfig.

This module provides LLM engine configurations for Go game agents, including:

• Player engines for black and white players

• Analyzer engines for position evaluation and strategy

• Prompt templates with Go-specific instructions

• Structured output models for moves and analysis

The engines use LLM configurations optimized for strategic gameplay, with prompt templates designed to generate high-quality moves and analysis.

Functions

build_go_aug_llms()	Build augmented LLM configurations for Go game.
generate_analysis_prompt()	Generate analysis prompt for Go position evaluation.
generate_black_prompt()	Generate prompt for black player.
generate_white_prompt()	Generate prompt for white player.
get_analyzer_engine()	Get the game analyzer engine.
get_black_engine()	Get the black player engine.
get_white_engine()	Get the white player engine.

Module Contents

games.go.engines.build_go_aug_llms()

Build augmented LLM configurations for Go game.

Returns:

Dictionary of engine configurations

Return type:

dict[str, AugLLMConfig]

games.go.engines.generate_analysis_prompt()

Generate analysis prompt for Go position evaluation.

Returns:

A prompt template for position analysis

Return type:

ChatPromptTemplate

games.go.engines.generate_black_prompt()

Generate prompt for black player.

Returns:

A prompt template for black player gameplay

Return type:

ChatPromptTemplate

games.go.engines.generate_white_prompt()

Generate prompt for white player.

Returns:

A prompt template for white player gameplay

Return type:

ChatPromptTemplate

games.go.engines.get_analyzer_engine()

Get the game analyzer engine.

Return type:

haive.core.engine.aug_llm.AugLLMConfig

games.go.engines.get_black_engine()

Get the black player engine.

Return type:

haive.core.engine.aug_llm.AugLLMConfig

games.go.engines.get_white_engine()

Get the white player engine.

Return type:

haive.core.engine.aug_llm.AugLLMConfig