Learning/AI Agents — Complete Guide/Lesson 24
Chapter 8·Lesson 3 of 3·10 min

Evaluation

Trace graders

Evaluate the steps of an agent, not only its final answer.

Lesson overview

Trace graders

A trace grader can check whether the agent selected the right tool, supplied correct arguments, respected policy, avoided unnecessary calls, and reached the expected outcome.

Learning path

Theory → Example → Code → Practice → Quiz → Challenge → Completion

0/6 done

Step 1

Theory

Trace graders

A trace grader can check whether the agent selected the right tool, supplied correct arguments, respected policy, avoided unnecessary calls, and reached the expected outcome.

Step 2

Example

Example

Apply Trace graders to a realistic production scenario and trace the decision step by step.

Step 3

Code

Code

Add implementation notes or a runnable example for this concept.

Step 4

Practice

Practice

Write down the inputs, expected output, constraints, and one failure case for Trace graders.

Step 5

Quiz

Quiz coming soon.

Step 6

Challenge

Challenge

Design a production-ready solution for Trace graders and explain one important trade-off.

Complete every stage

Work through every step in order, then the lesson will be marked complete.

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