src.llm_interpreter.integration

Integration module for AMMM LLM Interpreter.

This module provides integration points with the main AMMM pipeline, particularly with driver_v2.py workflow.

Module Contents

class src.llm_interpreter.integration.LLMInterpreterIntegration(config_path: str | None = None)

Main integration class for LLM interpretation functionality.

This class provides a simple interface for the AMMM pipeline to generate AI-powered interpretations of model results.

generate_interpretation(results_dir: str = 'results/', config_path: str | None = None) → Tuple[bool, str | None]

Generate LLM interpretation of model results.

This is the main entry point for the driver to request interpretations.

Parameters:

• results_dir – Directory containing model results.

• config_path – Path to model configuration file.

Returns:

bool, report_path: str or None).

Return type:

Tuple of (success

check_status() → Dict[str, Any]

Check the status of LLM interpreter components.

Returns:

Dictionary with status information.

src.llm_interpreter.integration.integrate_with_driver(driver_instance, config_path: str, results_dir: str = 'results/') → str | None

Convenience function to integrate LLM interpretation with driver workflow.

This function can be called from driver_v2.py after model fitting is complete.

Parameters:

• driver_instance – Instance of the driver class (for accessing model data).

• config_path – Path to YAML configuration file.

• results_dir – Directory containing model results.

Returns:

Path to generated report or None if disabled/failed.

src.llm_interpreter.integration.add_llm_interpretation_to_config(config_path: str, enable: bool = False)

Helper function to add LLM interpretation option to existing config.

Parameters:

• config_path – Path to YAML configuration file.

• enable – Whether to enable the feature.