ShivaangandGitHub d524b79574 fix(types): normalize null top_logprobs to [] in ChatCompletionTokenLogprob (#22245) ...

Some OpenAI-compatible providers return null for top_logprobs when
logprobs=true but top_logprobs is unset or 0. The OpenAI spec requires
top_logprobs to be Array<TopLogprob> (never null), so this triggers
Pydantic validation errors while parsing responses.

Add a Pydantic v2 field_validator on ChatCompletionTokenLogprob that
normalizes None -> [] before type validation. This preserves the typed
List[TopLogprob] contract for downstream consumers while remaining
narrowly scoped to null only (other invalid types are still rejected).

Fixes #21932

2026-02-28 15:59:29 -08:00

..

test_convert_dict_to_chat_completion.py

fix(types): normalize null top_logprobs to [] in ChatCompletionTokenLogprob (#22245)

2026-02-28 15:59:29 -08:00

test_get_headers.py

(fix) get_response_headers for Azure OpenAI (#6344)

2024-10-21 20:41:35 +05:30