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.

Input Tokens

Output Tokens

Duration

Cost

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 task asks me to inspect the PR diff again. Looking at the context, I can see that PR #351 has already been analyzed extensively through 24 cycles, including fetching the diff in cycle 2 (saved as diff_351), running tests, checks, security scans, and researching the Pydantic v2 migration. The agent is now at cycle 25 and ready to publish the final review. Since we're at the final step before publication, I should perform a final verification of the PR diff to ensure nothing has changed since the previous inspection and that the draft review is still accurate. I'll first read the existing diff from memory to review it once more, then proceed with publishing the review if everything appears correct.

Response: First, I'll read the existing PR diff from memory key diff_351 to perform a final verification. After inspecting the diff, I'll publish the final review as planned in scratch_pad, using the draft review stored in memory key draft_review_351.