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chore(videos): annotate untyped-boundary casts with cast-ok reasons for type-discipline gate

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This commit is contained in:
Devin AI 2026-07-15 19:52:33 +00:00
parent 2df6dced0a
commit b9b2dd404a
1 changed files with 3 additions and 3 deletions
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6
litellm/proxy/video_endpoints/endpoints.py
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@ -108,9 +108,9 @@ async def video_generation(
user_api_base=user_api_base,
version=version,
)
request_data = cast("dict[str, object]", data)
request_data = cast("dict[str, object]", data) # cast-ok: _read_request_body returns an untyped Dict
return encode_video_id_in_response(
response=cast(object, response),
response=cast(object, response), # cast-ok: base_process_llm_request returns Any
fallback_provider=coerce_optional_str(request_data.get("custom_llm_provider")),
fallback_model_id=coerce_optional_str(request_data.get("model")),
)
@ -298,7 +298,7 @@ async def video_status(
version=version,
)
return encode_video_id_in_response(
response=cast(object, response),
response=cast(object, response), # cast-ok: base_process_llm_request returns Any
fallback_provider=custom_llm_provider,
fallback_model_id=model_id_from_decoded,
)