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.

100
Duration
20s
Input Tokens
2625
Output Tokens
757
Cost
$0.00
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 request is to inspect the PR diff again. Per protocol, we must not call the same tool with identical inputs twice; instead, retrieve prior results from deterministic memory. The unified diff is already stored under key diff_351. Therefore, the correct action is to read it from memory and re-review.

Response: Action: memory.read_memory with params {"key": "diff_351"} to re-open and inspect the saved PR diff.