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 – openai/o1-mini Task | Opper AI

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Output Tokens

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Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: The current progress is at cycle 3, working on step 2 of 4. The previous actions, including determining the date using the calendar tool, have been successfully completed with the date '2025-05-29'. The next steps involve using the 'flights' tool to retrieve available flights and compiling the results for the user. Since we are systematically following the outlined plan and have two more steps remaining, the project appears to be on track.

Response: Yes, we are on track. We have completed step 2 of 4 and have two more steps remaining to retrieve and present the flight information to the user.