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The pro tier is not served by /v1/chat/completions. Probing the live endpoints:
model /v1/chat/completions /v1/responses
gpt-5-pro 404 OK
gpt-5.5-pro 404 OK
gpt-5.4-pro 404 OK
gpt-5.2-pro 404 OK
o1-pro 404 OK
o3-pro 404 OK
Since api defaults to "completions", LLM(model="openai/gpt-5-pro") fails with
"Model ... not found", which is misleading -- the model exists, the endpoint is
wrong. OpenAI's own 404 text ("This is not a chat model") doesn't make the fix
obvious either.
These requests now route to the Responses API automatically, which is verified to
work for every model above. An explicit api= setting is always honoured.
Model matching normalizes the configured string first, so "openai/gpt-5-pro" and
"gpt-5-pro-2025-10-06" both resolve to "gpt-5-pro". It's an exact list rather
than a "-pro" substring, so a custom deployment named "gpt-4-pro-custom" isn't
swept up.
The chat-completions 404 handler also gained an actionable message: when the
response says responses-only, or the model is a known pro model, the error names
api="responses" instead of just reporting "not found".
Tests: 29 cases covering name normalization, detection, routing (including that
call() reaches the Responses handler), and both 404 message paths.