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 – gcp/gemini-2.0-flash-lite Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: The user is asking which tools I will need to complete the task. The task is to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. Based on the context, I need to use the 'calendar' tool to determine tomorrow's date, the 'flights' tool to search for flights, and the 'memory' tool to store the results.

Here's a breakdown:
1.  **Calendar Tool:** Will be used to find tomorrow's date.
2.  **Flights Tool:** Will be used to search for flights from London to Paris on the date determined by the calendar tool, and to filter the results based on price and to return the top 3 cheapest options.
3.  **Memory Tool:**  I'll be using this to store the date of tomorrow, the flight search results, and potentially intermediate values.

I will start by using the calendar tool to get tomorrow's date.

Response: I will need the 'calendar' tool, the 'flights' tool, and the 'memory' tool to complete the task.