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/mistral-large-eu Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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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 involves handling an error returned by the calendar tool. According to the instructions, when a tool returns an error, the next action is to think about the error and decide the next action. Given that the calendar tool is not available, we need to find an alternative way to determine tomorrow's date. The context provides information about available tools, including a web search tool that can be used to find the current date. The plan is to use the web search tool to get tomorrow's date and then proceed with the flights tool to find available flights from London to Paris.

Response: Use the web search tool to find tomorrow's date, then use the flights tool to get available flights from London to Paris.