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.

Duration

23s

Input Tokens

2773

Output Tokens

794

Cost

$0.01

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 agent is at cycle 25 ready to publish the review. The user asks to inspect the PR diff again. Since the diff was already fetched in cycle 2 and saved to memory key 'diff_351', I should avoid calling github.get_pull_request_diff with the same parameters as per the 'never use a tool with the same inputs twice' rule. Instead, I will retrieve the diff from memory. Therefore, the action is to read memory with key 'diff_351'.

Response: I will retrieve the saved diff from memory using `memory.read_memory(key='diff_351')` to inspect it again without duplicating the GitHub API call.