litellm

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Shivaang 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

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