6.7 Agent Evaluation and Observability¶

Role at Stage 6: AI Agents¶

Make runs inspectable through task evals, tool tests, traces, metrics, and replay. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.

Explanation¶

This part has 4 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.

Part Diagram¶

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flowchart LR
  P["<b>6.7</b><br/>Agent Evaluation and<br/>Observability"]
  P --> S1["<b>6.7.1</b><br/>Task Evals"]
  P --> S2["<b>6.7.2</b><br/>Tool Unit and<br/>Integration Tests"]
  P --> S3["<b>6.7.3</b><br/>Structured Tracing"]
  P --> S4["<b>6.7.4</b><br/>Replay and Failure<br/>Triage"]
  P --> E["<b>Exam</b><br/>Part practice"]

Sub-Parts¶

Sub-part folder	What it explains
6.7.1 Task Evals	Task Evals is the working skill inside Agent Evaluation and Observability that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.7.2 Tool Unit and Integration Tests	Tool Unit and Integration Tests is the working skill inside Agent Evaluation and Observability that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.7.3 Structured Tracing	Structured Tracing is the working skill inside Agent Evaluation and Observability that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.7.4 Replay and Failure Triage	Replay and Failure Triage is the working skill inside Agent Evaluation and Observability that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.

What a Person Who Masters This Part Can Do¶

Explain how Agent Evaluation and Observability supports a tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture readme..
Build and inspect this artifact: Add evals and tracing to the agent.
Measure progress with: Track success, trace completeness, tool errors, cost, and latency.
Debug at least one failure mode before moving to the next part.

Build and Measure¶

Build: Add evals and tracing to the agent.

Measure: Track success, trace completeness, tool errors, cost, and latency.

Tests¶

Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.

Open Part Exam

Back to Stage¶

Return to Stage 6: AI Agents.