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Glossary · term163 of 202

RTK-ML ranked compression

A machine-learning variant that ranks tool-output tokens by estimated importance before removing the lowest-ranked ones, tested against a rule-based baseline in the same study.

also written as rtk-ml

Related terms
RTK rule-based compressionA fixed, rule-driven method for stripping tokens from tool output before it reaches the model, one of the compression arms tested in a large paired-cost study.view term->headroom proxy compressionA compression arm that estimates how much a payload can shrink using a proxy signal rather than measuring actual cost impact, and which raised paired cost the most in testing.view term->
At a glance
cited by
1 post
categories
1
first used
jul 2026
Appears in
  • Token-Compression Skills Do Not Survive MeasurementToken compression skills report savings the invoice never shows. Cache reads carry 87 percent of an agent bill, and cutting tokens can push the cost up.meta-analysis1 min
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