Agents – fireworks/deepseek-v3 Task | Opper AI

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

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Output Tokens

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Duration

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Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: I will carefully analyze the provided task, context, and instructions to determine the next action. Here is my thought process: 

1. **Understand the Task**: The task is to determine the next action based on the trajectory and scratch pad. 
2. **Analyze the Context**: The context includes a detailed trajectory of actions already performed, such as searching emails, extracting the event date, verifying calendar conflicts, creating a calendar event, and setting a reminder. The scratch pad indicates that all goals have been completed, and the task is marked as complete. 
3. **Follow the Instructions**: The instructions emphasize verifying all steps, ensuring correctness, and terminating the process once the task is complete. Since the scratch pad confirms that all steps have been successfully completed, no further action is required. 
4. **Conclusion**: The task is already complete, and no additional steps are needed.

Response: The task is complete. No further action is required.