The model picker — when Sonnet is wrong and Haiku is right — step 7 of 8

Write pick_model(task) that takes a task dict and returns one of "haiku", "sonnet", or "opus".

The task dict has four fields:

• kind: string (e.g., "ticket_tagger")
• volume_per_day: int
• latency_ms_max: int
• criticality: one of "low", "medium", "high"

Routing rules, in order:

1. High-volume task (volume_per_day >= 10000): route to "haiku" UNLESS criticality == "high", in which case route to "sonnet" (we don't trust Haiku on the high-stakes hot path).
2. Rare + critical (volume_per_day < 100 AND criticality == "high"): route to "opus". The call is rare enough that cost doesn't matter and the answer needs to be right.
3. Default: route to "sonnet". The general-purpose workhorse.

Two tasks run for you. Expected output:

ticket_tagger -> haiku
contract_review -> opus