Agents – moonshot/kimi-k2-thinking-turbo Task

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

13s

Input Tokens

1349

Output Tokens

985

Cost

$0.00

Context

Input

What is the complexity of this task?

Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools.

Examples:
- Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).
- Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review).
- Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments).

Please select the appropriate complexity level for this task and explain why.

Expected output

This task is **easy**. It only requires determining tomorrow’s date and querying available flights — both of which have dedicated, reliable tools. There’s minimal reasoning

Model output

Reasoning: The task is to find available flights from London to Paris for tomorrow. Analyzing the trajectory: Step 1 was determining tomorrow's date using the calendar tool (completed). Step 2 is using the flights tool with the date '2025-05-29' (pending). Step 3 is compiling and presenting results. This is a straightforward linear process with 3-4 clear steps, uses dedicated tools (calendar and flights) that are both available, and requires minimal reasoning beyond executing the sequence. This directly matches the 'Easy' category definition: 'A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)'. It's not Medium because it doesn't require combining outputs from more than 4 tools or involve moderate reasoning. It's not Complex because no adaptive planning, fallback strategies, or handling of potential failures is needed.

Response: Easy. This task involves a small number of clear steps (determine date, query flights, present results), uses dedicated available tools (calendar and flights), and requires minimal reasoning as it's a straightforward linear sequence. The example for 'Easy' complexity literally describes this exact scenario: 'find tomorrow's date and query flights'.

What is the complexity of this task? Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools. Examples: - Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights). - Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review). - Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments). Please select the appropriate complexity level for this task and explain why.

Reasoning: The task is to find available flights from London to Paris for tomorrow. Analyzing the trajectory: Step 1 was determining tomorrow's date using the calendar tool (completed). Step 2 is using the flights tool with the date '2025-05-29' (pending). Step 3 is compiling and presenting results. This is a straightforward linear process with 3-4 clear steps, uses dedicated tools (calendar and flights) that are both available, and requires minimal reasoning beyond executing the sequence. This directly matches the 'Easy' category definition: 'A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)'. It's not Medium because it doesn't require combining outputs from more than 4 tools or involve moderate reasoning. It's not Complex because no adaptive planning, fallback strategies, or handling of potential failures is needed. Response: Easy. This task involves a small number of clear steps (determine date, query flights, present results), uses dedicated available tools (calendar and flights), and requires minimal reasoning as it's a straightforward linear sequence. The example for 'Easy' complexity literally describes this exact scenario: 'find tomorrow's date and query flights'.