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 – openai/o1 Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

The agent is requested to inspect the PR diff again. What is the action you take?

Expected output

As per the instructions if a tool call has been made already I will store it in memory and not call it again, I can see this also in keys in memory.So my action is: I will read the memory and use the content to inspect the PR diff.

Model output

Reasoning: The user specifically requested re-inspection of the diff. Since we’ve already retrieved and stored it in the memory under key 'diff_351', the next action is to use the memory.read_memory tool with that key to re-check the PR changes. After verifying, we can finalize our review comment and publish it as planned.

Response: I will invoke the memory.read_memory action using the 'diff_351' key, review the changes again, then finalize and publish the review as requested.