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 – groq/gpt-oss-120b Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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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 context describes a multi-step task to retrieve flight information for a user request. The current state (cycle 3, step 2 of 4) shows that the calendar tool has successfully returned the date (2025-05-29) and the next goal is to call the 'flights' tool with the correct parameters. This aligns with the planned trajectory and remaining goals. Therefore, the workflow is proceeding as expected and is on track.

Key points:
- The required preprocessing (determining tomorrow's date) is completed.
- The next logical action is the 'flights' tool call, which is the next goal.
- No errors or deviations have been reported; the progress aligns with the plan.
Thus, we are on track.

Response: On track