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 – gcp/gemini-2.0-flash Task | Opper AI

Input Tokens

47983

Output Tokens

4564

Duration

296787.581

Cost

0

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 instructions state that the maximum number of retries for a tool call is 3. The flights.search_flights tool has already failed twice due to a timeout error. Therefore, I should not attempt to call the tool again. According to the instructions, I should log and explain failures. My next action is to explain to the user that the tool failed and that I cannot retrieve the flight information at this time.

Response: I attempted to call the flights.search_flights tool to find the cheapest flights from London to Paris for tomorrow, but the tool failed twice due to a timeout error. The maximum number of retries for a tool call is 3, so I will not attempt to call the tool again. I am unable to retrieve the flight information at this time.