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

41s

Input Tokens

3929

Output Tokens

267

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: 1. The task asks for the next action given that the flights.search_flights tool failed twice due to a timeout error. The user's request is to find the cheapest flights from London to Paris for tomorrow.
2. Following the instructions, I need to first understand the cause of the error before taking further action.
3. To do this, I will check the available methods and parameters of the flights tool to identify any potential issues.
4. If I find a problem with the parameters, I will attempt to call the tool again with the correct parameters.
5. If the tool still fails, I will log and explain the failure in my response.
6. I will then consider alternative tools or approaches to complete the task.

Response: Given the issue with the flights.search_flights tool, my next action according to the model instructions is to check the available methods and parameters of the tool to identify the cause of the timeout error. If necessary, I will attempt to call the tool again after verifying that the parameters are correct. If the tool still fails, I will log and explain the failure and then consider alternative tools or approaches to complete the task.