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-small-eu Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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 an assistant, I understand that the 'calendar' tool has returned an error and I cannot determine tomorrow's date. However, I have the departure and arrival cities from the context, which are 'London' and 'Paris' respectively. The next action is to use the 'flights' tool with the available information, as it is one of the remaining goals. If the 'flights' tool requires a date, I will try to estimate tomorrow's date based on the current time or ask the user for the date, if necessary.

Step 1: Try to use the 'flights' tool with available city information.
Step 2: If the 'flights' tool requires a date, attempt to estimate or ask the user for the date.
Step 3: Compile and present the results to the user.

I will start by executing the first step.

Response: I will use the 'flights' tool to find available flights from London to Paris. If a date is required, I will estimate or ask the user for the date.