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.

Agents – fireworks/deepseek-r1 Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: The current task involves resolving a user's flight information request. Key steps completed:
1. Determined tomorrow's date using calendar tool (2025-05-29)
2. Verified date format matches requirements

According to the scratch pad plan, the remaining required steps are:
1. Use flights tool with parameters (London, Paris, 2025-05-29)
2. Compile and present results

Current progress shows we're at step 2 of 4 cycle, matching the planned trajectory. No errors reported in tools usage, and all required tools remain available. The next logical step (flight search) is recognized and matches both the user's goal and system's instructions for direct path execution.

Response: ON TRACK. Progress matches planned trajectory:
- Completed calendar verification (step 2/4)
- Next action: flights tool execution with confirmed parameters
- Remaining path: flight search → result compilation → user presentation.
No blockers or deviations detected.