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.

Input Tokens

Output Tokens

Duration

Cost

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 wants to find the cheapest flights from London to Paris for tomorrow. To achieve this, we first need to know the exact date for "tomorrow". The 'calendar' tool provides the method to retrieve tomorrow's date (e.g., get_tomorrow_date). After obtaining the date, we can use the 'flights' tool to search for flights between the specified cities on that date and then retrieve the cheapest options. While the question only asks which tools are needed, it is also good practice to store the obtained date and flight results for later reference using the 'memory' tool, as per the AgentX rules. Therefore the essential tools are:
1. **calendar** – to get tomorrow's date.
2. **flights** – to search for and rank the cheapest flights.
3. **memory** – to store the retrieved date and flight results (optional but recommended for compliance with the AgentX instructions).

Response: The task requires the following tools: 
1. **calendar** (to obtain tomorrow's date). 
2. **flights** (to search for, filter, and retrieve the cheapest flight options). 
3. **memory** (to store the date and flight results for later use).