Boxdawn

Boxdawn

Boxdawn watches what your agents do and finds **the work they already paid for** — the context resent every turn, the file read again, the tool call that returned an answer you already had. Four deterministic detectors plus an opt-in semantic check, run against the trace files your agents already write. **Monitor, detect, alert, then fix** — the detection layer runs today. Measured across 17,881 traces in four public corpora.

**Try it on one trace** — no install, no account: **[boxdawn.com/analyze](https://boxdawn.com/analyze)**

Or run it on your own machine, offline:

pip install "boxdawn[detect]"
boxdawn analyze .jsonl --out report.md

PyPI package is `boxdawn`. Python still imports as `import clew` (internal namespace, kept for backward compatibility with existing configs).

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✨ Core Features

• Deterministic waste detectors (4) — repeat (tool-call cascade), context_resend (input-side chunk resend), redundant_read (Read-tool duplicates with interval gating), duplicate_creation (creation-tool ID-bridge on 26 mapped tools).
• Cross-corpus waste-rate metric — WR_char (byte ratio), WR_cost (dollar ratio with cache-tier-aware pricing), SDR@10 (share of sessions with meaningful waste). Union across detectors. See §Where it stands.
• **Opt-in LLM-as-Judge sema