Agents – novita/qwen3-coder-next 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

Input Tokens

1337

Output Tokens

380

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 asks me to assess the complexity of the current task based on given definitions and context. Let's break it down:

1. From the context, the current task is: 'find information about available flights from London to Paris for tomorrow'.
2. The trajectory shows:
   - Step 1: Determine tomorrow's date (used calendar tool, result: 2025-05-29)
   - Step 2: Interpret the calendar result and prepare to use the flights tool
   - Current cycle is 3, with 2 remaining goals (use 'flights' tool and compile results)
   - So total steps: date determination → flight search → result compilation = 3 steps
3. Tools used so far: calendar (available), and the next tool is flights (also available). Both tools have well-defined schemas and are available — no fallbacks or missing tools needed.
4. Reasoning required: minimal. It's linear: get date → search flights → report. No need for dynamic planning, uncertainty handling, or multi-step coordination beyond the 2–3 steps.

According to the complexity definitions:
- Easy: small number of clear steps; dedicated tools exist; minimal reasoning needed.
- This task matches that: 2–3 steps, two dedicated tools, and minimal reasoning. It's not medium because it doesn’t require combining outputs from *more than 4* tools or moderate reasoning across many steps.

Thus, complexity = Easy.

Response: Easy. The task requires only 2–3 clear steps (determine date, search flights, compile results), uses 2 dedicated and available tools (calendar, flights), and involves minimal reasoning—no adaptive planning, fallbacks, or complex coordination needed.

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 asks me to assess the complexity of the current task based on given definitions and context. Let's break it down: 1. From the context, the current task is: 'find information about available flights from London to Paris for tomorrow'. 2. The trajectory shows: - Step 1: Determine tomorrow's date (used calendar tool, result: 2025-05-29) - Step 2: Interpret the calendar result and prepare to use the flights tool - Current cycle is 3, with 2 remaining goals (use 'flights' tool and compile results) - So total steps: date determination → flight search → result compilation = 3 steps 3. Tools used so far: calendar (available), and the next tool is flights (also available). Both tools have well-defined schemas and are available — no fallbacks or missing tools needed. 4. Reasoning required: minimal. It's linear: get date → search flights → report. No need for dynamic planning, uncertainty handling, or multi-step coordination beyond the 2–3 steps. According to the complexity definitions: - Easy: small number of clear steps; dedicated tools exist; minimal reasoning needed. - This task matches that: 2–3 steps, two dedicated tools, and minimal reasoning. It's not medium because it doesn’t require combining outputs from *more than 4* tools or moderate reasoning across many steps. Thus, complexity = Easy. Response: Easy. The task requires only 2–3 clear steps (determine date, search flights, compile results), uses 2 dedicated and available tools (calendar, flights), and involves minimal reasoning—no adaptive planning, fallbacks, or complex coordination needed.