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

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: As a task, the user is asking for the next action to be taken. Given the context, the user needs to find information about available flights from London to Paris for tomorrow. I understand that I have access to tools such as the calendar tool, flights tool, and web search tool. I have determined the date for tomorrow to be '2025-05-29' from the previous cycle's result. Therefore, my next action will be to use the flights tool with the parameters 'from_city': 'London', 'to_city': 'Paris', and 'date': '2025-05-29'.

Response: My next action will be to use the flights tool to find available flights from London to Paris on 2025-05-29.