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Plan Quality

Plan Quality is a single-turn metric to determine if your agent's plan is a good way to finish the task

Overview

The plan quality metric is a single-turn metric that uses LLM-as-a-judge to assess whether the plan your LLM agent came up with is a good way to complete the task it was given.

How Is It Calculated?

The plan quality metric uses an LLM to extract the task from the trace and the plan from your agent's reasoning steps, then uses the same LLM to score how well that plan serves the task.


Plan Quality=Alignment Score(Task,Plan)\text{Plan Quality} = \text{Alignment Score}(\text{Task}, \text{Plan})

The final score is the alignment of the plan with the task as extracted from the trace.

Usage

To run the plan quality metric on Confident AI, add it to a single-turn metric collection. This will allow you to use plan quality metric for:

  • Single-turn E2E testing
  • Online and offline evals for traces

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