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 – mistral/pixtral-large-latest-eu Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

The tool call has returned an error. What should you do?

Expected output

Interpret the error and if appropriate, retry the tool call.

Model output

Reasoning: The task is to handle an error returned by the 'calendar' tool. According to the context, the user needs information about flights from London to Paris for tomorrow, but the 'calendar' tool failed due to unavailability. The instructions specify that if a tool returns an error, the next action is to think about the error and decide the next step. Since the 'calendar' tool is unavailable, I will proceed with an alternative approach to determine tomorrow's date. The user's request can still be fulfilled by using the 'flights' tool directly with a manually determined date. The current date is not provided, but assuming today is known, I can calculate tomorrow's date and proceed. The 'flights' tool is available and requires the date in 'YYYY-MM-DD' format. I will use this tool next and store the results in working memory for summary presentation.

Response: I will manually determine tomorrow's date, use the 'flights' tool to find available flights from London to Paris, and compile the results for the user.