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feat: increase MetricSamples to 100 points (~15 min resolution)

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Modern LLMs have 100k+ token contexts. 100 samples over 24h gives
~15 minute resolution while adding minimal token overhead.

This lets the LLM see fine-grained patterns, short spikes, and
accurately distinguish anomalies from normal behavior.
This commit is contained in:
rcourtman 2025-12-21 22:25:54 +00:00
parent 818fbffd66
commit 49fc86c70b
1 changed files with 3 additions and 3 deletions
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6
internal/ai/context/builder.go
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@ -486,9 +486,9 @@ func (b *Builder) computeGuestMetricSamples(guestID string) map[string][]MetricP
if len(points) < 3 { if len(points) < 3 {
continue continue
} }
// Downsample to ~24 points (roughly hourly over 24h) // Downsample to ~100 points (~15 min resolution over 24h)
// This gives the LLM good resolution to spot patterns and spikes // Modern LLMs have 100k+ token contexts - we can afford detailed history
sampled := DownsampleMetrics(points, 24) sampled := DownsampleMetrics(points, 100)
if len(sampled) >= 3 { if len(sampled) >= 3 {
samples[metric] = sampled samples[metric] = sampled
} }