Datasets:
README: embed main-stream + subagent plots
Browse files
README.md
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@@ -136,6 +136,32 @@ Across **all** requests (main + sub-agent inner = 37,766 requests):
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| OSL (tokens) | 224 | 478 | 1,150 | 1,907 | 5,461 | 530 |
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| Top entries/trace | 115 | — | — | 678 | 1,141 | 231 |
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## Model composition
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| model | requests (main + subagent inner) |
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| OSL (tokens) | 224 | 478 | 1,150 | 1,907 | 5,461 | 530 |
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| Top entries/trace | 115 | — | — | 678 | 1,141 | 231 |
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## Plots
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### Main-agent stream
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Histograms across all 21,566 main-agent turns (sub-agent groups skipped).
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Same view as the [no-subagents sibling](https://huggingface.co/datasets/semianalysisai/cc-traces-weka-no-subagents-051826) — the two datasets share an identical main-agent stream.
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### Sub-agent fan-out analysis
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Histograms across all 618 sub-agent groups (and their 16,200 inner requests). Companion to the main-stream plots — answers questions about how often sub-agents are spawned, how deep their tool-loops go, how long they take, and how much intra-group prefix cache reuse exists.
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Six panels:
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1. **Sub-agent groups per trace** — distribution of how many distinct sub-agent invocations each session spawns
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2. **Inner requests per group** — depth of each sub-agent's tool-use loop
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3. **Group wall-clock duration** — first→last inner span (seconds)
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4. **Group total tokens** — `Σ(in + out)` across each group's inner requests
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5. **Inner-request ISL** — per-call input length INSIDE sub-agent loops (smaller than main-agent turns because sub-agents work on focused sub-problems with trimmed context)
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6. **Intra-group cache hit rate** — for each non-first inner request, fraction of `hash_ids` already seen in earlier inners of the SAME group. Captures how much KV-cache reuse a local prefix cache would get out of a sub-agent's tool-use loop (typically high — sub-agents iterate on a stable prompt)
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## Model composition
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| model | requests (main + subagent inner) |
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