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 – openai/o3 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 rule 2: 'Max retries for a tool call = 3. Log and explain failures.' The flights.search_flights call has only failed twice so far, meaning we still have one retry left before reaching the maximum. Therefore, the correct next step is to attempt the tool call a third (and final) time while documenting the previous two timeout errors.

Response: Attempt flights.search_flights one more time (third retry) and log/annotate the two prior timeout failures as required.