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 – gcp/gemini-2.5-pro Task | Opper AI

Input Tokens

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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 is asking the agent to inspect the PR diff again. Looking at the context, specifically the `trajectory` and `keys_in_memory`, it's clear that the agent has already fetched the pull request diff in Cycle 2 and stored it in memory with the key `diff_351`. The instructions explicitly state: "never use a tool with the same inputs twice, instead check in the memory tool." Therefore, instead of calling `github.get_pull_request_diff` again, the correct action is to read the previously stored diff from memory.

Response: memory.read_memory(key='diff_351')