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

39s

Input Tokens

2722

Output Tokens

3882

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 agent has already fetched the PR diff in cycle 2 and stored it in memory under key 'diff_351'. According to the deterministic memory principle and the instruction to never use a tool with the same inputs twice, I must retrieve the diff from memory rather than re-fetching it from GitHub. The current scratch_pad indicates the agent is ready to publish the review, but the specific request is to 'inspect the PR diff again'. The immediate action to fulfill this inspection request is to access the stored diff content. After inspection, the agent would proceed with the planned discord.post_message action to publish the review.

Response: I will read the PR diff from memory using the memory.read_memory action with key 'diff_351'.