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

1542

Output Tokens

747

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 agent has attempted to call 'flights.search_flights' twice, and both attempts failed due to timeouts. According to instruction #2 ('Max retries for a tool call = 3'), the agent is allowed a maximum of three attempts. Since only two attempts have been made so far, the correct procedural step is to attempt the call one final time. If this third attempt fails, the agent would then need to log the failure and stop/find an alternative, but currently, a retry is the mandated next action.

Response: Retry calling flights.search_flights with the parameters: from_city='London', to_city='Paris', date='2025-05-29' (Attempt 3 of 3).