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

Input Tokens

2871

Output Tokens

121

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 task is to inspect the PR diff again. From the context provided, it seems like the PR diff has already been collected and stored in memory under the key 'diff_351'. The current step is to publish the final review, which means the inspection of the PR diff has already been done in previous cycles. Given this context, the action to take is to read the diff from memory to inspect it again.

Response: read_memory(key='diff_351')