Opper

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.

Agents – fireworks/deepseek-v3 Task | Opper AI

Input Tokens

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Output Tokens

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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: According to the instructions, I should first check the available methods and parameters of the 'flights' tool before using it. I attempted to call 'flights.search_flights' twice, but it failed due to a timeout error. The maximum number of retries for a tool call is 3, so I have one more attempt remaining. Before retrying, I should verify if the 'flights' tool is still available and if there are any issues with the parameters or the tool itself. Additionally, I should log the failures and explain them for future reference. If the third attempt also fails, I should reflect on the possible reasons and decide on an alternative approach, such as notifying the user of the issue or trying a different method or tool.

Response: I will make a third attempt to call 'flights.search_flights' with the same parameters. If it fails again, I will log the error and notify the user that there was an issue retrieving the flight data.