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 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 task is to identify the tools needed to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. Based on the available tools:

1.  **Calendar:** We need the `calendar` tool to get tomorrow's date. Specifically, the `get_tomorrow_date` method.
2.  **Flights:** We need the `flights` tool to search for flights from London to Paris on the obtained date.  We'll use the `search_flights` method, `filter_by_price` to find the cheapest options, and also the `sort_by_duration` method. The task explicitly asks for the top 3 options.

Response: I will need to use the `calendar` tool and the `flights` tool to complete this task.