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: <think>
The task is to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. To accomplish this, I need to determine which tools are necessary to complete the task effectively.

First, I need to identify the date for tomorrow. The 'calendar' tool has methods to get the current date and add days to it, which will help me determine tomorrow's date.

Next, I need to search for flights from London to Paris for the identified date. The 'flights' tool has methods like `search_flights`, `filter_by_price`, and `get_cheapest_option` that can help me find and filter flights based on price.

Additionally, I might need to store intermediate results or final flight options. The 'memory' tool can be used to store and retrieve working memory items, which will help in managing the data throughout the process.

Therefore, I will need to use the following tools:
1. 'calendar' to get the date for tomorrow.
2. 'flights' to search and filter flights based on price.
3. 'memory' to store and manage the data.

However, the instructions mention that we should first get the available methods and parameters of a tool before using it. So, I should verify the methods and parameters for each tool before proceeding.
</think>

Response: The tools needed to successfully complete the task are: 'calendar', 'flights', and 'memory'.