Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Duration

Input Tokens

1319

Output Tokens

1231

Cost

$0.00

Context

Input

You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?

Expected output

Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.

Model output

Reasoning: 1. The flights.search_flights tool has failed twice with timeout errors. Since the max retry limit is 3 (per instructions), I will attempt the third retry. 2. To optimize, I will adjust the 'max_results' parameter to a lower value (e.g., 10) to reduce server load and timeout risk. 3. If this third attempt fails, I will proceed to 'filter_by_price' with available data (if any was stored) and prioritize informing the user of the persistent issue.

Response: Retry flights.search_flights with max_results=10 and the stored date '2025-05-29'. If still failing, proceed to error handling by summarizing current progress and requesting user clarification on timeout persistence.