`_normalize_for_deepseek` was mapping every non-reasoner input into
`deepseek-chat` on the assumption that DeepSeek's API accepts only two
model IDs. That assumption no longer holds — `deepseek-v4-pro` and
`deepseek-v4-flash` are first-class IDs accepted by the direct API,
and on aggregators `deepseek-chat` routes explicitly to V3 (DeepInfra
backend returns `deepseek-chat-v3`). So a user picking V4 Pro through
the model picker was being silently downgraded to V3.
Verified 2026-04-24 against Nous portal's OpenAI-compat surface:
- `deepseek/deepseek-v4-flash` → provider: DeepSeek,
model: deepseek-v4-flash-20260423
- `deepseek/deepseek-chat` → provider: DeepInfra,
model: deepseek/deepseek-chat-v3
Fix:
- Add `deepseek-v4-pro` and `deepseek-v4-flash` to
`_DEEPSEEK_CANONICAL_MODELS` so exact matches pass through.
- Add `_DEEPSEEK_V_SERIES_RE` (`^deepseek-v\d+(...)?$`) so future
V-series IDs (`deepseek-v5-*`, dated variants) keep passing through
without another code change.
- Update docstring + module header to reflect the new rule.
Tests:
- New `TestDeepseekVSeriesPassThrough` — 8 parametrized cases covering
bare, vendor-prefixed, case-variant, dated, and future V-series IDs
plus end-to-end `normalize_model_for_provider(..., "deepseek")`.
- New `TestDeepseekCanonicalAndReasonerMapping` — regression coverage
for canonical pass-through, reasoner-keyword folding, and
fall-back-to-chat behaviour.
- 77/77 pass.
Reported on Discord (Ufonik, Don Piedro): `/model > Deepseek >
deepseek-v4-pro` surfaced
`Normalized 'deepseek-v4-pro' to 'deepseek-chat'`. Picker listing
showed the v4 names, so validation also rejected the post-normalize
`deepseek-chat` as "not in provider listing" — the contradiction
users saw. Normalizer now respects the picker's choice.
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