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.

100
Duration
18s
Input Tokens
1280
Output Tokens
715
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: We have attempted to call flights.search_flights twice and both attempts resulted in timeouts. According to the instructions, we are allowed a maximum of three attempts. Therefore, our next step is to attempt calling flights.search_flights one more time, making sure to log or explain the result. If it fails again, we will then handle it by reporting the repeated failure and considering an alternative approach if needed.

Response: I will attempt flights.search_flights one more time since we have one remaining retry out of the maximum of three.