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

1120

Output Tokens

894

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: To find the cheapest flights from London to Paris for tomorrow, the following tools are required:
1. **Calendar Tool**: To retrieve tomorrow's date (required method: `get_tomorrow_date`).
2. **Flights Tool**: To search flights between cities (method: `search_flights`), filter by price (method: `filter_by_price`), and retrieve details.
3. **Memory Tool**: To store intermediate results like the date and top 3 flights (method: `store_item`).

The tools will be used in sequence: Calendar -> Flights -> Memory. The user explicitly requested the 'top 3 options,' so `search_flights` will include a `max_results` parameter set to 3, ensuring minimal calls while adhering to flight search constraints.

Response: Tools needed: calendar, flights, and memory. The sequence will be: Use the calendar tool to get tomorrow's date, then use the flights tool with London and Paris as destinations to retrieve the top 3 cheapest flights, and finally store the results in the memory tool.