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.

Duration

Input Tokens

1351

Output Tokens

215

Cost

$0.00

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: Step-by-step analysis of the task and context:
1. The task is to identify which available tools are needed to complete the user's request: finding the cheapest flights from London to Paris for tomorrow, top 3 options.
2. Available tools: calendar (for dates), flights (for searching flights), memory (for storing results).
3. To complete the task:
   - Need 'tomorrow's date': Use calendar tool (e.g., get_tomorrow_date).
   - Search flights with from_city='London', to_city='Paris', date='tomorrow': Use flights tool (search_flights, filter_by_price, get_cheapest_option).
   - Store results: Use memory tool (store_item).
4. All three tools are necessary: calendar for date, flights for core search, memory per rules to store results after tool calls.
5. No other tools available or needed.

Response: calendar, flights, memory