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 – fireworks/deepseek-r1 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 requires finding the cheapest flights for tomorrow and returning the top 3 options. To achieve this:
1. The **calendar tool** (get_tomorrow_date) is needed to accurately determine the departure date
2. The **flights tool** (search_flights + filter_by_price) will be used to retrieve and sort the flight options
3. The **memory tool** is required to store intermediate results (tomorrow's date, raw flight data, filtered results) as per instructions
4. All tools must be used in sequence: date retrieval -> flight search -> data storage -> final answer compilation

Response: Required tools: calendar (for date calculation), flights (for flight search/filtering), and memory (for storing intermediate results). Will use:
- calendar.get_tomorrow_date
- flights.search_flights (with from_city='London', to_city='Paris')
- flights.filter_by_price
- memory.store_item at each stage