A streamed completion carries no token counts unless you ask for them, and
`stream_options: {include_usage: true}` is how. Not every server implements
it, and an unknown key is a 400 from some -- the same hazard as sending a
tools array to an endpoint without support. So it is asked for once per base
URL per process, and an endpoint that refuses is remembered and retried
without it. The retry is safe because the status is checked before a single
line is read: nothing has been yielded, so there is nothing to duplicate.
chunk_usage() reads the resulting chunk. It needed no change to the loop
above it: a usage chunk carries `choices: []`, which is exactly the shape
delta_text, delta_reasoning, delta_tool_calls and finish_reason have always
returned early on. All-zero counts are treated as absent, because some
servers attach zeros to every chunk and the real numbers only at the end.
services/tokens.py is the fallback for endpoints that never report: four
characters to a token, counting the tools array because thirteen schemas is
a meaningful slice of a short window, and counting nothing for an image
because its cost depends on tiling and an invented number would be worse
than the omission. Crude on purpose -- a real tokeniser means one per model
family, for a figure that is displayed beside a tilde.
Nothing uses any of this yet.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Jaroslav Beneš
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