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 – mistral/mistral-large-eu 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: 1. The task is to assess the current state and decide if we are on track to complete the user's request about finding flights from London to Paris for tomorrow.
2. The context provides the following information:
   - The user's request is to find flights from London to Paris for tomorrow.
   - The current date (tomorrow) has been determined as '2025-05-29' using the calendar tool.
   - The next step is to use the 'flights' tool to get available flights for the specified date and cities.
3. The remaining goals are clear: use the 'flights' tool and compile the results.
4. The progress indicates that we are on step 2 of 4, which means we have made significant progress but are not yet complete.
5. To decide if we are on track, we need to check if the 'flights' tool can be used with the current information and if it will provide the necessary results.

Response: We are on track. The next step is to use the 'flights' tool to get available flights from London to Paris for 2025-05-29.