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/o4-mini Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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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: 1. We reviewed the current cycle and progress: we are at step 2 of 4 after successfully retrieving tomorrow’s date (2025-05-29) from the calendar tool.
2. We confirmed the date format (YYYY-MM-DD) matches the flights tool requirements.
3. The remaining tasks are to invoke the flights tool with from_city=London, to_city=Paris, and date=2025-05-29, then compile results for the user.
4. No issues or blockers have been encountered so far.
5. Therefore, we are on track to complete the overall goal.

Response: We are on track. The next action is to call the flights tool with:
{
  "from_city": "London",
  "to_city": "Paris",
  "date": "2025-05-29"
} to retrieve available flights for the user.