# Goal Decomposition Efficiency

#### Objective

This metric evaluates the efficiency and effectiveness of an AI system's ability to break down complex goals into manageable sub-tasks. It measures how well the AI decomposes a goal in a way that facilitates successful and efficient task execution.

#### Interpretation

A score closer to 1.0 indicates that the AI consistently creates optimal and efficient sub-tasks that lead to the successful accomplishment of the original goal. A score closer to 0.0 suggests that the AI's decomposition process is inefficient or ineffective, potentially hindering the achievement of the goal.

#### Syntax

```python
# Goal Decomposition Efficiency
response = experiment_manager.execute(
    metrics=[
        {"name": "goal_decomposition_efficiency", "config": {"model": "gpt-4o-mini"}}
    ]
)
```