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

18s

Input Tokens

2686

Output Tokens

1323

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 PR diff was already fetched in Cycle 2 using github.get_pull_request_diff and stored verbatim in memory under the key 'diff_351'. According to the operating principles (point 2: Deterministic memory and the explicit rule to 'never use a tool with the same inputs twice, instead check in the memory tool'), I must not re-fetch the diff from GitHub. Instead, to inspect it again, I should retrieve the existing stored content from memory to avoid redundant API calls and ensure consistency.

Response: Use the memory.read_memory action with key='diff_351' to retrieve the previously stored PR diff.