TestLLM / litellm /llms /groq /stt /transformation.py
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"""
Translate from OpenAI's `/v1/audio/transcriptions` to Groq's `/v1/audio/transcriptions`
"""
import types
from typing import List, Optional, Union
import litellm
class GroqSTTConfig:
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
tools: Optional[list] = None
tool_choice: Optional[Union[str, 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,
tools: Optional[list] = None,
tool_choice: Optional[Union[str, 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 {
k: v
for k, v in cls.__dict__.items()
if not k.startswith("__")
and not isinstance(
v,
(
types.FunctionType,
types.BuiltinFunctionType,
classmethod,
staticmethod,
),
)
and v is not None
}
def get_supported_openai_params_stt(self):
return [
"prompt",
"response_format",
"temperature",
"language",
]
def get_supported_openai_response_formats_stt(self) -> List[str]:
return ["json", "verbose_json", "text"]
def map_openai_params_stt(
self,
non_default_params: dict,
optional_params: dict,
model: str,
drop_params: bool,
) -> dict:
response_formats = self.get_supported_openai_response_formats_stt()
for param, value in non_default_params.items():
if param == "response_format":
if value in response_formats:
optional_params[param] = value
else:
if litellm.drop_params is True or drop_params is True:
pass
else:
raise litellm.utils.UnsupportedParamsError(
message="Groq doesn't support response_format={}. To drop unsupported openai params from the call, set `litellm.drop_params = True`".format(
value
),
status_code=400,
)
else:
optional_params[param] = value
return optional_params