[dezren39]

Adds sol-plan#low to workhorse, weight 2.

Why (Drew, 2026-10-26 cross-rung review)

A higher family's low rung routinely beats the lower family's high rungs on intelligence and speed at once. Sol #low (AA v4.3.2: II 42, TTFT 2.9s, $0.13/task, the cheapest point on AA's cost frontier together with Sol #medium) dominates the pool's Luna #xhigh seat (35, 24.2s) on both axes. And per Drew: OpenAI is our largest quota — it will be spent regardless, so spend it on the family's elbow rung rather than its slow tail. In seats where multiple providers compete, DeepSeek Flash already covers Luna's cheap-fast niche.

Scope

• workhorse only. Luna keeps its #xhigh seat (weight 1) as the second OpenAI door for now; specialist (Sol #medium) and summit (Sol #xhigh) are unchanged; the luna-haiku-100k pool is untouched (its reason to exist is the sub-100k pricing band, not the seat quality).
• Rung resolution: sol-plan already serves #medium (specialist) and #xhigh (summit) on main through the same leaves; #low resolves identically.

Validated: JSONC parses; target and weight asserted programmatically.

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Review	Status	Commit	Review trigger
📝 Code Review	🔄 Running since 2026-10-27T04:21:03.776504Z	379c87c	PR opened

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