Add summary growth model with logarithmic floor option#115
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Add summaryGrowthModel ('fixed' | 'logarithmic') and summaryGrowthCoefficient
parameters to break the fixed summary convergence ceiling. When set to
'logarithmic', summary size grows as coefficient * ln(1 + totalCompressed/1000),
modelling that longer sessions need larger summaries to retain accumulated
knowledge.
- Apply floor in all strategies that produce summaries (1, 2, 4a-d)
- Add enum paramKind for sweep support of string enum parameters
- Frontend: dropdown in Parameter Panel, sweep UI with checkboxes
- 9 new tests (unit + integration) verifying floor logic and backwards compat
- Default 'fixed' preserves all existing behaviour and results
Closes #95
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add compressedTokens=0 arg to all evaluate() calls in strategy.test.ts - Spread readonly enum values to satisfy mutable return type in sweep.ts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Engine Change
Add
summaryGrowthModelandsummaryGrowthCoefficientparameters to enable realistic summary growth over long sessions.Problem: Summary size converges to a fixed ceiling of
interval / (ratio - 1)— at default settings, ~3.3k tokens regardless of how much history has been compressed. For 200-cycle sessions compressing 100k+ tokens, this is unrealistically small.Solution: A logarithmic growth floor:
floor = coefficient × ln(1 + totalCompressed / 1000). When enabled, summary size grows sublinearly with compressed history:Changes:
summaryGrowthModel: 'fixed' | 'logarithmic'(default:'fixed'— preserves existing behaviour)summaryGrowthCoefficient: number(default:1000)enumparamKind for sweep support of string enum parametersCloses #95
Test plan
🤖 Generated with Claude Code