testsAndMisc/docs/superpowers
Krzysztof kuhy Rudnicki c5cd63fb80
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token_audit: measure tool-call batching per API message
Counting transcript records reports 1.00 tool calls per message no matter
what the model did: the harness writes one JSONL record per tool_use block,
all sharing message.id. A hand-rolled per-record count read the real 1.9%
batching rate as 0.0%, which nearly shipped as a headline finding.

Group by message.id instead, and report it, so the number comes from a
tested code path with the window handled by find_transcripts rather than an
ad-hoc timestamp. Three snapshot fields give next week's run a baseline.

Axes was at the 12-attribute cap, so the counters live in their own Batching
dataclass with the two ratios as properties.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NiSSDu4gKbp9GGxTTtXvYW
2026-08-28 12:22:21 +02:00
..
contracts token_audit: measure tool-call batching per API message 2026-08-28 12:22:21 +02:00
evidence token_audit: measure tool-call batching per API message 2026-08-28 12:22:21 +02:00
memory style(prettier): apply markdown/json formatting updates 2026-05-07 22:08:00 +02:00
plans Adopt the four markdown namespaces and gate them 2026-08-24 15:55:46 +02:00
sessions chore(agent): add governance checks and artifact workflow scaffolding 2026-05-07 22:03:43 +02:00
specs Adopt the four markdown namespaces and gate them 2026-08-24 15:55:46 +02:00
workflows chore(agent): add governance checks and artifact workflow scaffolding 2026-05-07 22:03:43 +02:00