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 – anthropic/claude-3.5-sonnet Task | Opper AI

Input Tokens

54100

Output Tokens

7695

Duration

247813.792

Cost

0

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: Let me analyze the current situation based on the trajectory and scratch pad:

1. Looking at the scratch pad, I can see that all goals have been completed:
   - User preferences were received
   - Email was searched and found
   - Event date was extracted
   - Calendar was checked for conflicts
   - Calendar event was created with reminder

2. The current_cycle is 6, and the scratch pad indicates 'Step 6 of 6. Task complete.'

3. All necessary information has been processed and stored:
   - Event date is set (2025-06-15)
   - Reminder is set (2 days before)
   - Calendar event has been created (ID: event_98765)

4. There are no pending actions or unresolved items in the task.

Response: terminate_process - The task is complete with all goals achieved. No further actions are needed.