Agents – mistral/mistral-tiny-eu Task | Opper AI

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.

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: As a structured AI agent, I first read the task provided by the user, which is to identify the next action based on the trajectory and scratch pad. I understand that the user has requested a reminder for a company dinner, and the event date has been found, with no conflicts in the calendar. To identify the next action, I need to analyze the steps already taken and the current state of the task. The previous steps include searching for the relevant email, reading it, extracting the event date, checking for conflicts, and creating the calendar event with a reminder. Since all the previous steps have been successfully completed, the next action is to confirm the event details to the user, if necessary, and terminate the process. I will use the tools provided, including email, calendar, web search, user input, and scratch pad, to execute the task systematically.

Response: The next action is to confirm the event details with the user and terminate the process, as all previous steps have been successfully completed.