Agents – groq/gpt-oss-20b Task | Opper AI

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.

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Output Tokens

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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. The most direct way is to call the GitHub tool to retrieve the diff. The tool requires the repo name and the PR number. This ensures we are looking at the current state of the diff.
The steps:
1. Check if the diff is already cached in memory under `diff_351`.
2. If missing or stale, call `github.get_pull_request_diff` with `repo=github.com/opperai/api-service` and `pr_number=351`.
3. Store the result in memory (key `diff_351`) for future reference.
Given the current context, the diff is already cached (`diff_351`).  But as the user explicitly wants to inspect it again, we perform a fresh request.

Action: Invoke the GitHub tool with repo `github.com/opperai/api-service` and PR number 351.

Response: I will use the `github.get_pull_request_diff` tool to fetch the latest unified diff for PR #351 from the repository `github.com/opperai/api-service`.