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

1317

Output Tokens

183

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 task is to determine the next action after the 'flights.search_flights' tool failed twice due to a timeout error. According to the instructions, the maximum number of retries for a tool call is 3. Therefore, I should attempt the 'flights.search_flights' tool one more time. If it fails again, I will log the error and consider alternative approaches, such as checking the status of the flight service or using a different method to retrieve the flight information. Following the instructions, I will also ensure that any meaningful results are stored in memory using the 'memory.store_item' method.

Response: Attempt to call 'flights.search_flights' one more time, as the maximum number of retries is not yet reached. If it fails again, log the error and consider alternative approaches.