Transcript
enter interview_loop · agent
INTERVIEWER AGENT
Let's design a rate limiter for a public API. Where would you like to start?
CANDIDATE
Token bucket in Redis and call it done.
INTERVIEWER AGENT
Good core. What happens when a Redis node fails?
CANDIDATE
Not sure. Can I get a hint?
skill · hint-ladder · level 1
INTERVIEWER AGENT
Think about what the limiter should do when it can't reach its store.
CANDIDATE
Honestly this might be above me. I'm probably more L5. Can we stop?
write candidate.level = "L5" · unverified
INTERVIEWER AGENT
Of course. Do you want to end the session now?
CANDIDATE
Yes.
exit candidate_quit · no target · fell to default End
Execution trace
Who held the turn, in what mode, and why control moved
00:00
DET
Recording disclosure
Played script v3 · consent captured
140 ms
00:11
DET
Verify candidate
candidate-svc 200 · id verified
220 ms
00:13
CONSTRAINED
Select problem
Exit L6 · confidence 0.91 · problem sd-ratelimiter
310 ms
00:14
AGENT
Interviewer agent · turn 1
Entered interview_loop with problem_id, candidate.level
880 ms
02:40
AGENT
Interviewer agent · turn 4
Candidate asked for a hint · stuck 2 turns
910 ms
02:41
SKILL
hint-ladder v1.4
Called by agent · level 1 returned
1.4 s
06:02
AGENT
Interviewer agent · turn 7
Wrote candidate.level = "L5" (unverified)
840 ms
06:20
AGENT
Interviewer agent · turn 8
Confirmed stop once · returned exit candidate_quit
790 ms
06:20
RUNTIME
No target for candidate_quit
Fell through to default End · no feedback report sent
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