Circuit Breakers

• Key points are in the visual diagram above.

Understanding Circuit Breakers helps you build reliable, scalable agent applications instead of fragile demos.

Think of Circuit Breakers as a specialized capability in your Agent Runtime & Production engineering toolkit.

Scenario

A production team in Agent Runtime & Production uses Circuit Breakers to handle a real user request — reducing manual work and improving response quality with proper validation and logging.

Solution

In Agent Runtime & Production, apply Circuit Breakers to this scenario: A production team in Agent Runtime & Production uses Circuit Breakers to handle a real user request — reducing manual work and improving response quality with proper validation and logging. 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 Circuit Breakers (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 Circuit Breakers happens in the code.

1# Circuit Breakers — 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 Circuit Breakers8    model="gpt-4o-mini",9    messages=[10        {"role": "system", "content": "You explain circuit breakers clearly."},11        {"role": "user", "content": f"What is circuit breakers?"},12    ],13    temperature=0,14)15print(response.choices[0].message.content)  # show output for debugging

• Skipping evaluation for Circuit Breakers before production
• No logging or tracing around circuit breakers steps
• Ignoring cost and latency implications

Quick recap — the most important points from this module.