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

3046

Output Tokens

376

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 user requested to inspect the PR diff again. According to the instructions, I should never use a tool with the same inputs twice, but rather check the memory tool. The diff for PR #351 was saved in cycle 2 under the key 'diff_351'. Therefore, I will use the memory tool to read the contents of 'diff_351'.

Response: I will read the PR diff from memory using the `read_memory` action of the `memory` tool with the key `diff_351`, since it was already fetched and stored during Cycle 2. This avoids redundant API calls and adheres to the operating instructions.