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Learn how to evaluate your Agno Agents and Teams across multiple dimensions - accuracy (simple correctness checks), agent as judge (custom quality criteria), performance (runtime and memory), and reliability (tool calls).

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Evaluation Dimensions

Accuracy

The accuracy of the Agent’s response using LLM-as-a-judge methodology.

Agent as Judge

Evaluate custom quality criteria using LLM-as-a-judge with scoring.

Performance

The performance of the Agent’s response, including latency and memory footprint.

Reliability

The reliability of the Agent’s response, including tool calls and error handling.

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Quick Start

Here’s a simple example of running an accuracy evaluation:
quick_eval.py
from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIResponses
from agno.tools.calculator import CalculatorTools

# Create an evaluation
evaluation = AccuracyEval(
    model=OpenAIResponses(id="gpt-5.2"),
    agent=Agent(model=OpenAIResponses(id="gpt-5.2"), tools=[CalculatorTools()]),
    input="What is 10*5 then to the power of 2? do it step by step",
    expected_output="2500",
    additional_guidelines="Agent output should include the steps and the final answer.",
)

# Run the evaluation
result: Optional[AccuracyResult] = evaluation.run(print_results=True)

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Best Practices

  • Start Simple: Begin with basic accuracy tests before progressing to complex performance and reliability evaluations
  • Use Multiple Test Cases: Don’t rely on a single test case—build comprehensive test suites that cover edge cases
  • Track Over Time: Monitor your eval metrics continuously as you iterate on your agents
  • Combine Dimensions: Evaluate across all three dimensions for a holistic view of agent quality

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Guides

Dive deeper into each evaluation dimension:
  1. Accuracy Evals - Learn LLM-as-a-judge techniques and multiple test case strategies
  2. Agent as Judge Evals - Define custom quality criteria with flexible scoring strategies
  3. Performance Evals - Measure latency, memory usage, and compare different configurations
  4. Reliability Evals - Test tool calls, error handling, and rate limiting behavior