diff --git a/litellm/llms/openai_like/messages/transformation.py b/litellm/llms/openai_like/messages/transformation.py index 078c71a1b3d..756248c780c 100644 --- a/litellm/llms/openai_like/messages/transformation.py +++ b/litellm/llms/openai_like/messages/transformation.py @@ -95,18 +95,22 @@ class OpenAILikeAnthropicMessagesConfig(AnthropicMessagesConfig): model the cost map does not know (see #40890). Pop them before the base transform so no drop warning fires, restore afterwards. """ - params: Final[dict[str, object]] = anthropic_messages_optional_request_params # mutable-ok: popped below to detach the stashed keys + params: Final[dict[str, object]] = ( + anthropic_messages_optional_request_params # mutable-ok: popped below to detach the stashed keys + ) stashed: Final[dict[str, object]] = {} # mutable-ok: filled key-by-key, then restored onto the request for _key in ("thinking", "output_config", "temperature"): if _key in params: stashed[_key] = params.pop(_key) # base returns an unparameterized dict; annotate at the boundary - request: Final[dict[str, object]] = super().transform_anthropic_messages_request( # mutable-ok: base returns a dict the caller updates in place # pyright: ignore[reportUnknownMemberType] # base signature is unparameterized - model=model, - messages=messages, - anthropic_messages_optional_request_params=params, - litellm_params=litellm_params, - headers=headers, + request: Final[dict[str, object]] = ( + super().transform_anthropic_messages_request( # mutable-ok: base returns a dict the caller updates in place # pyright: ignore[reportUnknownMemberType] # base signature is unparameterized + model=model, + messages=messages, + anthropic_messages_optional_request_params=params, + litellm_params=litellm_params, + headers=headers, + ) ) if self.supports_cache_control_ttl(): request.update(stashed)