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-mini Task | Opper AI

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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 requires inspecting the PR diff again. Although the diff has been previously fetched and stored in memory under the key 'diff_351', it's prudent to ensure that the diff is up-to-date and no new changes have been made since the last fetch. Therefore, I will use the 'github.get_pull_request_diff' action to retrieve the latest diff for PR #351 in the 'github.com/opperai/api-service' repository.

Response: I will retrieve the latest pull request diff using the 'github.get_pull_request_diff' action with the following parameters: repo='github.com/opperai/api-service' and pr_number=351.