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

26s

Input Tokens

1447

Output Tokens

875

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: The flights.search_flights tool has failed twice due to timeouts. According to instruction 2️⃣, the maximum retries allowed for a tool call is 3. Since two attempts have already been made, the next action is to perform a third and final retry. Before retrying, I should verify the tool's parameters are correct (from_city='London', to_city='Paris', date='2025-05-29') to avoid redundant errors. If the third attempt fails, I will log the failure and proceed to inform the user of the issue while exploring alternative solutions.

Response: Retry flights.search_flights with parameters from_city='London', to_city='Paris', date='2025-05-29' for the third and final attempt. If successful, proceed to filter results by price and store the top 3 options in memory. If it fails again, notify the user of the persistent timeout and suggest manual intervention.