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chore(vertex-ai): remove obsolete mutation suppressions

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Emerson Gomes 2026-10-06 08:41:11 -05:00
parent d7d74a8b57
commit 0281ce43ef
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GPG key ID: D3DF28AB5D1B5E17
2 changed files with 18 additions and 20 deletions
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20
litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
View file

@ -147,9 +147,7 @@ _GEMINI_SPEECH_CONFIG_KEY_MAP: Final[Mapping[str, str]] = MappingProxyType(
def _normalize_gemini_speech_config_item(value: Mapping[str, object]) -> dict[str, object]:
normalized: Final[
dict[str, object]
] = {} # mutable-ok: iterative traversal preserves deeply nested provider payloads
normalized: Final[dict[str, object]] = {}
pending: Final[ # mutable-ok: the explicit worklist must grow while avoiding recursive traversal
list[tuple[dict[str, object] | list[object], Mapping[object, object] | list[object]]]
@ -167,9 +165,9 @@ def _normalize_gemini_speech_config_item(value: Mapping[str, object]) -> dict[st
child: object
if isinstance(item, Mapping):
child = {} # mutable-ok: nested mappings are filled by the worklist
child = {}
elif isinstance(item, list):
child = [] # mutable-ok: nested lists are filled by the worklist
child = []
else:
child = item
@ -207,7 +205,7 @@ def normalize_gemini_speech_config(
return {key: item for key, item in normalized.items() if key not in ("name", "voiceName", "voice")}
if voice_name is None:
return normalized
return { # mutable-ok: provider request serialization requires a concrete dict
return {
**{key: item for key, item in normalized.items() if key not in ("name", "voiceName", "voice", "modelName")},
"voiceConfig": {"prebuiltVoiceConfig": {"voiceName": voice_name}},
}
@ -1136,19 +1134,19 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
speech_config_without_language: Final[ # mutable-ok: provider request serialization requires a concrete dict
dict[str, object]
] = (
{ # mutable-ok: provider request serialization requires a concrete dict
"voiceConfig": { # mutable-ok: nested provider payload is serialized as a dict
"prebuiltVoiceConfig": { # mutable-ok: nested provider payload is serialized as a dict
{
"voiceConfig": {
"prebuiltVoiceConfig": {
"voiceName": value["voice"],
}
}
}
if "voice" in value
else {} # mutable-ok: provider request serialization requires a concrete empty dict
else {}
)
if language_code is not None:
return { # mutable-ok: provider request serialization requires a concrete dict
return {
**speech_config_without_language,
"languageCode": language_code,
}

18
litellm/llms/vertex_ai/text_to_speech/transformation.py
View file

@ -230,16 +230,16 @@ class VertexAITextToSpeechConfig(BaseTextToSpeechConfig, VertexBase):
"multi_speaker_voice_config",
)
if multi_speaker_config is None:
return [] # mutable-ok: provider request serialization requires a concrete empty list
return []
raw_speaker_configs: Final = multi_speaker_config.get(
"speakerVoiceConfigs",
multi_speaker_config.get(
"speaker_voice_configs",
[], # mutable-ok: missing speaker configuration uses a concrete empty-list sentinel
[],
),
)
if not isinstance(raw_speaker_configs, list):
return [] # mutable-ok: malformed speaker configuration produces a concrete empty list
return []
speaker_configs: Final[ # mutable-ok: validated payloads are accumulated for serialization
list[VertexTextToSpeechSpeakerVoiceConfig]
] = []
@ -269,7 +269,7 @@ class VertexAITextToSpeechConfig(BaseTextToSpeechConfig, VertexBase):
)
if speaker_alias is not None and speaker_id is not None:
speaker_configs.append(
{ # mutable-ok: provider request serialization requires a concrete dict
{
"speakerAlias": speaker_alias,
"speakerId": speaker_id,
}
@ -305,7 +305,7 @@ class VertexAITextToSpeechConfig(BaseTextToSpeechConfig, VertexBase):
voice: str | Mapping[str, object],
) -> tuple[str | None, dict[str, object]]: # mutable-ok: provider request serialization requires a concrete dict
if isinstance(voice, str):
return voice, { # mutable-ok: provider request serialization requires a concrete dict
return voice, {
"languageCode": self.DEFAULT_LANGUAGE_CODE,
"modelName": model,
"name": voice,
@ -320,21 +320,21 @@ class VertexAITextToSpeechConfig(BaseTextToSpeechConfig, VertexBase):
model_name: Final = model
speaker_configs: Final = self._extract_gemini_tts_speaker_configs(voice)
if speaker_configs:
return None, { # mutable-ok: provider request serialization requires a concrete dict
return None, {
"languageCode": language_code,
"modelName": model_name,
"multiSpeakerVoiceConfig": { # mutable-ok: nested provider payload is serialized as a dict
"multiSpeakerVoiceConfig": {
"speakerVoiceConfigs": speaker_configs,
},
}
voice_name: Final = self._extract_gemini_tts_voice_name(voice)
if voice_name is not None:
return None, { # mutable-ok: provider request serialization requires a concrete dict
return None, {
"languageCode": language_code,
"modelName": model_name,
"name": voice_name,
}
return None, { # mutable-ok: provider request serialization requires a concrete dict
return None, {
**voice,
"languageCode": language_code,
"modelName": model_name,