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refactor(bedrock): treat default encoding_format=float as supported instead of mutating params

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Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
Devin AI 2026-08-28 16:12:15 +00:00
parent fb092107f5
commit 7096fc0e88
1 changed files with 3 additions and 5 deletions
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8
litellm/utils.py
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@ -3389,7 +3389,7 @@ def get_optional_params_embeddings(
# Remove function objects from passed_params to avoid JSON serialization errors
passed_params.pop("get_supported_openai_params", None)
def _check_valid_arg(supported_params: list | None):
def _check_valid_arg(supported_params: Sequence[str] | None):
if supported_params is None:
return
unsupported_params: Final = {}
@ -3543,16 +3543,14 @@ def get_optional_params_embeddings(
elif "nova" in model.lower():
object = litellm.AmazonNovaEmbeddingConfig()
else: # unmapped model
supported_params = []
if non_default_params.get("encoding_format") == "float":
non_default_params = {k: v for k, v in non_default_params.items() if k != "encoding_format"}
supported_params = ("encoding_format",) if non_default_params.get("encoding_format") == "float" else ()
_check_valid_arg(supported_params=supported_params)
final_params = {**kwargs}
return final_params
supported_params = object.get_supported_openai_params()
if non_default_params.get("encoding_format") == "float" and "encoding_format" not in supported_params:
non_default_params = {k: v for k, v in non_default_params.items() if k != "encoding_format"}
supported_params = (*supported_params, "encoding_format")
_check_valid_arg(supported_params=supported_params)
optional_params = object.map_openai_params(non_default_params=non_default_params, optional_params={})
elif custom_llm_provider == "mistral":