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

45938

Output Tokens

5677

Duration

113588.372

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: I need to analyze the task which asks which tools I would need to use to complete the flight search request. Looking at the available tools: calendar (for date handling), flights (for flight search and filtering), and memory (for storing results). For this specific task of finding cheapest flights from London to Paris for tomorrow and returning top 3 options, I would need:
1. calendar tool to get tomorrow's date (using get_tomorrow_date method)
2. flights tool to search for flights using the obtained date (search_flights method) and then filter/sort to get cheapest options (filter_by_price and potentially get_cheapest_option)
3. memory tool to store the results as required by the instructions (store_item method)
The memory tool is essential per instruction rule #3 which requires storing meaningful results after every tool call.

Response: To complete the task of finding the cheapest flights from London to Paris for tomorrow and returning the top 3 options, I would need to use the following tools:
- calendar tool (to get tomorrow's date using get_tomorrow_date method)
- flights tool (to search flights using search_flights method and filter/sort results using filter_by_price method)
- memory tool (to store the results using store_item method as required by the instructions)