litellm-mirror/litellm/llms/AI21/chat.py
2024-09-02 11:54:40 -07:00

95 lines
2.6 KiB
Python

"""
AI21 Chat Completions API
this is OpenAI compatible - no translation needed / occurs
"""
import types
from typing import Optional, Union
class AI21ChatConfig:
"""
Reference: https://docs.ai21.com/reference/jamba-15-api-ref#request-parameters
Below are the parameters:
"""
tools: Optional[list] = None
response_format: Optional[dict] = None
documents: Optional[list] = None
max_tokens: Optional[int] = None
temperature: Optional[float] = None
top_p: Optional[float] = None
stop: Optional[Union[str, list]] = None
n: Optional[int] = None
stream: Optional[bool] = None
seed: Optional[int] = None
tool_choice: Optional[str] = None
user: Optional[str] = None
def __init__(
self,
tools: Optional[list] = None,
response_format: Optional[dict] = None,
max_tokens: Optional[int] = None,
temperature: Optional[float] = None,
top_p: Optional[float] = None,
stop: Optional[Union[str, list]] = None,
n: Optional[int] = None,
stream: Optional[bool] = None,
seed: Optional[int] = None,
tool_choice: Optional[str] = None,
user: Optional[str] = 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(self, model: str) -> list:
"""
Get the supported OpenAI params for the given model
"""
return [
"tools",
"response_format",
"max_tokens",
"temperature",
"top_p",
"stop",
"n",
"stream",
"seed",
"tool_choice",
"user",
]
def map_openai_params(
self, model: str, non_default_params: dict, optional_params: dict
) -> dict:
supported_openai_params = self.get_supported_openai_params(model=model)
for param, value in non_default_params.items():
if param in supported_openai_params:
optional_params[param] = value
return optional_params