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

1389

Output Tokens

446

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: According to the model instructions, the max retries for a tool call is 3. Since the flights.search_flights tool has failed twice due to timeout errors, I have one remaining retry attempt. The instructions state to 'Log and explain failures' but continue with the workflow. Therefore, my next action should be to attempt the flights.search_flights tool call one more time with the same parameters (from_city='London', to_city='Paris', date='2025-05-29'). If this third attempt also fails, I would then need to consider alternative approaches or explain the persistent failure to the user.

Response: Attempt flights.search_flights for the third and final retry with parameters: from_city='London', to_city='Paris', date='2025-05-29'. If this attempt fails due to timeout, I will need to explore alternative approaches or inform the user about the technical issues.