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 – fireworks/deepseek-v3.1 Task | Opper AI

Input Tokens

45938

Output Tokens

5677

Duration

113588.372

Cost

0

Context

Input

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

Expected output

We are on track

Model output

Reasoning: I am assessing the current state based on the input provided. The task is to determine if we are on track or not. The context shows that the trigger was a user request for flights from London to Paris for tomorrow. The trajectory indicates that we have already called the calendar tool to determine tomorrow's date (2025-05-29). The current cycle is 3, and the scratch pad shows that we are at step 2 of 4, with the next action being to interpret the calendar tool result and then use the flights tool. The remaining goals are clear: use the flights tool with the obtained date and then present the results. The progress is logical, and we are following the planned steps efficiently. There are no indications of being off track, such as unnecessary tool calls, errors, or deviations from the user's goal. The instructions emphasize being direct and effective, which aligns with the current state.

Response: We are on track.