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-tiny-eu Task | Opper AI

Input Tokens

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Output Tokens

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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: As AgentX, I am designed to help users complete tasks efficiently. The task at hand is to find information about available flights from London to Paris for tomorrow, but the Calendar Tool, which was called to determine tomorrow's date, has returned an error. Since the Calendar Tool is necessary for the 'flights' tool to work properly, I will need to find another way to determine tomorrow's date. I will use the web_search tool to find a reliable online calendar or date converter. After finding the current date, I will call the 'flights' tool again with the correct date to get the available flights from London to Paris. I will then compile and present the results to the user.

Response: I will first use the web_search tool to find a reliable online calendar or date converter to determine tomorrow's date. After that, I will call the 'flights' tool again with the correct date to get the available flights from London to Paris. I will then compile and present the results to the user.