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 Task | Opper AI

Input 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 task is to assess whether we are on track to achieve the user's goal of finding information about available flights from London to Paris for tomorrow. Based on the context provided, the process has already started, and the calendar tool has been successfully used to determine that tomorrow's date is '2025-05-29'. The next logical step, as outlined in the scratchpad, is to use the 'flights' tool to find available flights for this date. The context also mentions that the date format matches the tool requirements and emphasizes the importance of storing the flight search result for summarization. This aligns with the goal of presenting the results to the user. Since the process is progressing as planned and the next steps are clearly defined, it indicates that we are on track.

Response: We are on track. The next step is to use the 'flights' tool to find available flights from London to Paris for 2025-05-29, as outlined in the plan.