Event Horizon Evolutionary Solution Server AI Integration

Initialize an evolutionary solution system for a given problem with consistency checks. This tool sets up the framework for evolving solutions across multiple generations. The LLM will: 1. Generate initial population of solutions 2. Evaluate solutions against consistency checks 3. Use crossover recommendations to create better solutions 4. Repeat until convergence or max generations Use this tool to begin the evolutionary process with a clear problem statement and evaluation criteria.

Add a new solution to the current generation of the evolutionary system. Use this tool to contribute solutions to the current generation. Solutions can be: - Initial solutions (generation 0) - Evolved solutions based on crossover recommendations - Variations or mutations of existing solutions The solution content should directly address the problem statement.

Score a solution against a specific consistency check. Use this tool to evaluate how well a solution performs against each consistency check. Scores should be between 0.0 (poor) and 1.0 (excellent). The LLM should evaluate the solution content against the consistency check description and provide an objective score.

Evolve to the next generation using crossover analysis. This tool analyzes the current generation's performance and provides crossover recommendations. It identifies the best-performing solution for each consistency check and suggests how to combine these aspects into new solutions for the next generation. Use this after all solutions in the current generation have been fully scored.

Get the current status of the evolutionary system. Returns detailed information about the current state including: - Current generation and progress - Population statistics - Best solution found so far - Evolution history Use this tool to track progress and understand the current state of the evolution.