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
24s
Input Tokens
2625
Output Tokens
1272
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: Based on the provided context, the diff was previously retrieved and is already stored in memory under the key 'diff_351'. To inspect the PR diff again, we simply read it from memory using the memory.read_memory action with that key. This ensures we revisit the details of the changes before finalizing the review.

Response: I will use memory.read_memory with key='diff_351' to review the previously retrieved PR diff content.