Agents – fireworks/deepseek-v3.2 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

1371

Output Tokens

368

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: I need to analyze the given task based on the complexity guidelines provided. Let me examine:
1. The task description: It's asking me to assess the complexity level of a specific agent task
2. Looking at the provided context:
   - Trigger: User request about flights from London to Paris for tomorrow
   - Tools available: calendar, flights, web_search (all available)
   - Trajectory: Already completed step 1 (get date from calendar)
   - Current cycle: Step 2 of 4 (use flights tool, compile results)
3. Analyzing complexity factors:
   - Number of steps: Only 2-4 clear steps (get date, search flights, present results)
   - Reasoning needed: Minimal - just coordinate two tools in sequence
   - Tools: Dedicated tools exist for both needed actions (calendar and flights)
   - No adaptive planning or fallback strategies needed
   - No missing data or tool failures anticipated
4. Comparing to examples:
   - Easy: "A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)"
   - This matches almost exactly with the example given for Easy complexity

Based on the analysis, this task has a small number of clear sequential steps, uses dedicated tools, and requires minimal reasoning with no complex coordination or fallbacks.

Response: Easy - This task has a small number of clear steps (2-4), uses dedicated tools that are available (calendar and flights), requires minimal reasoning (just sequential tool coordination), and matches the given example for Easy complexity ('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: I need to analyze the given task based on the complexity guidelines provided. Let me examine: 1. The task description: It's asking me to assess the complexity level of a specific agent task 2. Looking at the provided context: - Trigger: User request about flights from London to Paris for tomorrow - Tools available: calendar, flights, web_search (all available) - Trajectory: Already completed step 1 (get date from calendar) - Current cycle: Step 2 of 4 (use flights tool, compile results) 3. Analyzing complexity factors: - Number of steps: Only 2-4 clear steps (get date, search flights, present results) - Reasoning needed: Minimal - just coordinate two tools in sequence - Tools: Dedicated tools exist for both needed actions (calendar and flights) - No adaptive planning or fallback strategies needed - No missing data or tool failures anticipated 4. Comparing to examples: - Easy: "A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)" - This matches almost exactly with the example given for Easy complexity Based on the analysis, this task has a small number of clear sequential steps, uses dedicated tools, and requires minimal reasoning with no complex coordination or fallbacks. Response: Easy - This task has a small number of clear steps (2-4), uses dedicated tools that are available (calendar and flights), requires minimal reasoning (just sequential tool coordination), and matches the given example for Easy complexity ('find tomorrow's date and query flights').