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 – groq/gpt-oss-120b 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 user asks to inspect the PR diff again. According to the mandatory review sequence, the first step (A) is to fetch the PR diff. Even though we have a diff already stored (diff_351), the request explicitly wants to inspect it again, so we must call the GitHub tool to retrieve the latest diff. This ensures any new changes are captured. I will perform a `github.get_pull_request_diff` action with the repository and PR number, and store the result in memory (e.g., under the same key `diff_351` or a new key if needed).

Response: Action: Call `github.get_pull_request_diff` with parameters `{"repo": "github.com/opperai/api-service", "pr_number": 351}` and store the resulting diff in memory (e.g., under key `diff_351`).