resolve_thinking now takes an Effort instead of a tri-state bool, and the
four gates become five. The new one sits ahead of the generic tier check
on purpose: asking for `none` on GLM-5.3 used to fall through to "none is
not supported, pick low/high/max", which loses both the fact that the
model cannot stop reasoning and the one tier the caller could switch to
right now. Without that alternative, downstream goes looking for
extra_body — which is how issue #20 happened in the first place.
The return type is a ThinkingResolution rather than the payload alone.
Under fallback="nearest" the tier that goes out is not the tier that was
asked for, and telemetry has to record the one that ran, or task 10 files
a call under a tier it never used. Ties in that mapping go to the weaker
side: a silent medium -> max is a multiple of the bill, and the library
does not raise a caller's price on its own.
Two readings the design left implicit, both settled the way its own
compatibility promise requires:
- `auto` is exempt from the tier list. It means "on, no tier named",
which in the body is the absence of the effort key, not a value of it.
Checking it against the list would break every existing source that
sets ENABLE_THINKING=true against deepseek-v4 or glm-5.3.
- `none` is never a mapping target. Turning "think less" into "do not
think" reverses the decision instead of cheapening it; a switch-only
model maps to `auto` and a model that only has `none` still errors.
Both call sites convert enable_thinking in place for now; task 5 folds
that into effective_effort along with the source- and call-level tiers.
iomgaa
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