alexion
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sumTokens read the Agent SDK's per-model `modelUsage` entries with snake_case field names, but the SDK reports those per-model entries in camelCase (`inputTokens`, `cacheReadInputTokens`, ...). Every token component therefore fell through to zero, silently zeroing the cost-equivalent-token headline metric — while `total_cost_usd` and `num_turns` (top-level snake_case) kept working and masked it. Read `modelUsage` with the correct camelCase fields, keeping the snake_case aggregate `usage` as the fallback. Export `sumTokens` and add a regression test covering both the per-model camelCase sum (folding in the auxiliary model) and the snake_case fallback, so a future SDK field-casing drift fails a test instead of producing zero-token samples.