160d0cc484
- LogHub samples (real system logs): 3.0x over 1.15M tokens - LogChunks (797 Travis failures, human-labeled failure chunks): 1.9x over 66M tokens, 78.5% of labeled failure-explaining lines survive verbatim - LogDx-CI (35 real GitHub Actions failures, arXiv 2605.28876): 2.2x over 15M tokens, 95.2% critical diagnostic signals retained; with --budget 8000, 6,334 tok/case at 77.4% retention; haiku diagnosed 12/12 from compressed vs 12/12 raw on the 12-case subset - README: Real logs, real benchmarks section; updated synthetic receipts (templates lift ANSI CI to 15.9x, synthetic eval total to 6.0x, 8/8 re-verified); honest 2-4x expectation row for production logs Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
25 lines
634 B
TOML
25 lines
634 B
TOML
[build-system]
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requires = ["setuptools>=61"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "lessismore"
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version = "0.3.0"
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description = "Squeeze text before it hits an LLM — deterministic prompt compression, measured in real tokens"
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readme = "README.md"
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license = { text = "MIT" }
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requires-python = ">=3.8"
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authors = [{ name = "John King (monsterrobotsoft)" }]
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keywords = ["llm", "prompt", "compression", "tokens", "context"]
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[project.optional-dependencies]
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tokens = ["tiktoken"]
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ml = ["llmlingua"]
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[project.scripts]
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lessismore = "lessismore:main"
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lm = "lessismore:main"
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[tool.setuptools]
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py-modules = ["lessismore"]
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