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from typing import Optional, Union
from litellm.llms.openai_like.chat.transformation import OpenAILikeChatConfig
class VolcEngineConfig(OpenAILikeChatConfig):
frequency_penalty: Optional[int] = None
function_call: Optional[Union[str, dict]] = None
functions: Optional[list] = None
logit_bias: Optional[dict] = None
max_tokens: Optional[int] = None
n: Optional[int] = None
presence_penalty: Optional[int] = None
stop: Optional[Union[str, list]] = None
temperature: Optional[int] = None
top_p: Optional[int] = None
response_format: Optional[dict] = None
def __init__(
self,
frequency_penalty: Optional[int] = None,
function_call: Optional[Union[str, dict]] = None,
functions: Optional[list] = None,
logit_bias: Optional[dict] = None,
max_tokens: Optional[int] = None,
n: Optional[int] = None,
presence_penalty: Optional[int] = None,
stop: Optional[Union[str, list]] = None,
temperature: Optional[int] = None,
top_p: Optional[int] = None,
response_format: Optional[dict] = None,
) -> None:
locals_ = locals().copy()
for key, value in locals_.items():
if key != "self" and value is not None:
setattr(self.__class__, key, value)
@classmethod
def get_config(cls):
return super().get_config()
def get_supported_openai_params(self, model: str) -> list:
return [
"frequency_penalty",
"logit_bias",
"logprobs",
"top_logprobs",
"max_completion_tokens",
"max_tokens",
"n",
"presence_penalty",
"seed",
"stop",
"stream",
"stream_options",
"temperature",
"top_p",
"tools",
"tool_choice",
"function_call",
"functions",
"max_retries",
"extra_headers",
] # works across all models
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