tokunseba
Choosing the model

Reasoning effort

Spending less thinking on a turn that does not need any.

Separate from which model answers is how hard that model thinks. A tool-resumption turn, where the model asked for a file and is now being handed it, rarely needs extended reasoning. A new question, or a turn that follows an error, usually does.

tokunseba tier enable 3
tokunseba config set tier3.effort_routing true

What it changes

ProviderField
OpenAI shapedreasoning_effort
Anthropicthinking.budget_tokens

The turn is otherwise untouched. No text is rewritten, no model is swapped.

When it fires

Only when all of these hold:

  • tier 3 is on and tier3.effort_routing is on
  • the judge scored the turn as easy, above the confidence gate
  • the turn is not sensitive
  • the request did not already specify an effort setting of its own

If the client asked for a specific thinking budget, that is a decision the client made and tokunseba leaves it alone.

Seeing it

effort_set   23   an easy turn was sent at low effort
tokunseba stats --since 7d

Because this is tier 3, sessions are split into control and treatment arms, so:

tokunseba stats --ab

will tell you whether the treatment arm actually finished tasks in fewer requests or more. That is the number that matters: a turn that thinks less and then needs two more turns has not helped.

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