Implements the approach Nathan settled on in co-op/support#26: per-token
estimates based on what GreenPT publishes, rather than waiting on the upstream
LiteLLM `impact` passthrough.
- New daily columns: out_tokens, energy_wh, co2e_g.
- Tokens come from OUR OWN spend logs (completion_tokens per model per day), so
member-visible impact does not depend on any client persisting an `impact`
object. GreenPT's metric counts OUTPUT tokens only — that is the unit — so
input tokens are excluded deliberately.
- Factors live in one table with a source per row. The greenpt/* rows are
MEASURED: fitted from live calls to their API across prompt sizes
(energy = overhead + marginal x output tokens, R2 >= 0.999; carbon from the
grid intensity their own emissions imply — ug/mWh and g/kWh are the same
ratio). Everything else falls back to a documented order-of-magnitude proxy,
so a day's total is never silently missing models.
- Migration: CREATE IF NOT EXISTS never adds columns, so both the script and
the app ALTER TABLE on connect.
Refining a factor is a data edit in IMPACT_FACTORS, not a code change.
inference-bot
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