Agent Loop

• Key points are in the visual diagram above.

Raw Messages APIs still need a loop. The SDK is that loop with batteries.

An autopilot that still lets you set the flight plan.

Scenario

An autopilot that still lets you set the flight plan.

Solution

In Claude Agent SDK, apply Agent Loop to this scenario: An autopilot that still lets you set the flight plan. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to Agent Loop (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where Agent Loop happens in the code.

1# Agent Loop — minimal example2from openai import OpenAI3
4client = OpenAI()  # create API client5
6# Ask the model to explain this topic7response = client.chat.completions.create(  # core API call for Agent Loop8    model="gpt-4o-mini",9    messages=[10        {"role": "system", "content": "You explain agent loop clearly."},11        {"role": "user", "content": f"What is agent loop?"},12    ],13    temperature=0,14)15print(response.choices[0].message.content)  # show output for debugging

• Skipping evaluation for Agent Loop before production
• No logging or tracing around claude agent loop steps
• Ignoring cost and latency implications

Quick recap — the most important points from this module.