Agent as a Judge

Definition

It uses AI agents to evaluate content through a structured evaluation process. This evaluation type leverages agent-based approaches with customisable prompts and system instructions to perform comprehensive content assessment.

A successful evaluation provides reasoned output based on the agent’s analysis using the configured prompts and chosen model, while a failed evaluation indicates issues with the agent’s execution or response generation.

Calculation

It Begins with configuration setup, where an appropriate LLM model is selected, an evaluation prompt is defined to guide the agent’s assessment, and a system prompt is set to establish the agent’s role and capabilities.

During agent execution, the system prompt provides context for the agent, while the evaluation prompt directs its assessment criteria. The agent then processes inputs using its available tools and reasoning abilities.

Eval returns an output that includes detailed reasoning about the evaluation, ensuring a transparent and structured assessment.

What to do when Agent Judge Evaluation Fails

In such case, reviewing the agent configuration is crucial. This includes checking the system prompt to ensure the agent’s role is correctly defined, verifying that the evaluation prompt is clear and comprehensive, and ensuring that the agent has proper access to necessary tools.

Additionally, assessing model selection is important—confirm that the chosen model is compatible with the agent’s operations, and consider using an alternative model from the available options if needed.

Differentiating Agent as a Judge with LLM as a Judge

While both evaluations utilise language models for assessment, they differ in capabilities, processing, and configuration. Agent Judge leverages sophisticated agents with tool access and multi-step reasoning, allowing for more complex evaluations, while LLM Judge relies solely on direct language model responses.

In terms of processing, Agent Judge can incorporate external tools and structured reasoning, whereas LLM Judge is limited to single-step reasoning within the model.