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.

Input Tokens

49758

Output Tokens

5586

Duration

326410.215

Cost

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: Based on the instructions and the context provided, the task involves handling a timeout error during the execution of the `flights.search_flights` tool. The instructions specify a maximum of 3 retries for a tool call. Since the tool has failed twice due to a timeout error, the next action is to attempt the third and final retry. Additionally, the instructions emphasize logging and explaining failures, so this attempt will be documented. If the third attempt fails, the next steps will involve analyzing the failure, reflecting on alternative approaches, and deciding on a new course of action.

Response: Attempt the third and final retry of the `flights.search_flights` tool. If it fails again, analyze the failure, reflect on alternative approaches, and decide the next course of action.