41232f49d393f9e0361f843ddc5f3d7e5205f2ed
The earlier conversation suggested agentic might "have no human think-time" and therefore live in a strict closed-loop regime. The user pushed back: tool calls also take time and might restore a chatbot-like buffer between turns. To resolve this, we go to the actual data. The previously-published per-record formatted trace only carries arrival timestamps, so an arrival-to-arrival diff conflates W_turn + T_external. The raw trace (/home/admin/cpfs/wjh/ali-trace/trace-glm5.1-formatted/ 051315-051317-raw.jsonl on dash0) additionally carries request_end_time_ms, which lets us compute the pure inter-turn external gap T_external = next.request_ready_time_ms - prev.request_end_time_ms for each session's consecutive turn pair. Headline numbers (n = 783 k inter-turn gaps over 127 k multi-turn sessions): p25 = 0.69 s p50 = 1.6 s p75 = 8.6 s p90 = 44 s mean = 37 s (heavy long-tail; paused/abandoned sessions) 39 % of gaps < 1 s 67 % of gaps < 5 s 87 % of gaps < 30 s The bulk of the distribution is dominated by sub-second to a-few-seconds tool-call latencies. Under any current scheduler (e.g. unified TTFT p90 = 7.3 s, lmetric 15.7 s), W_turn is already at or above the 75th percentile of T_external, so dispatch coupling is the dominant regime for the majority of turns — not a corner case. This corrects the earlier conflated arrival-to-arrival "median gap 11 s" figure (which folded W_turn into T_external). The true T_external median is 1.6 s. Adds: - scripts/compute_inter_turn_gap_remote.py: dash0-side aggregator - analysis/characterization/data/agentic_inter_turn_gap.json: 500-point CDF cache + summary stats, scp'd back from dash0 - scripts/plot_inter_turn_gap.py: local figure renderer - figs/f3a_inter_turn_gap.png: log-x CDF with p25/p50/p75/p90 anchors and unified/lmetric TTFT p90 reference lines Next step (per user): pull a chatbot trace through the same pipeline and compare distributions side by side; this will let §2.3 stop hand-waving about "no think-time" and instead present the regime split empirically. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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