litellm-mirror/litellm/llms/xai/chat/transformation.py
Ishaan Jaff c7f14e936a
(code quality) run ruff rule to ban unused imports (#7313)
* remove unused imports

* fix AmazonConverseConfig

* fix test

* fix import

* ruff check fixes

* test fixes

* fix testing

* fix imports
2024-12-19 12:33:42 -08:00

53 lines
1.7 KiB
Python

from typing import Optional, Tuple
from litellm.secret_managers.main import get_secret_str
from ...openai.chat.gpt_transformation import OpenAIGPTConfig
XAI_API_BASE = "https://api.x.ai/v1"
class XAIChatConfig(OpenAIGPTConfig):
def _get_openai_compatible_provider_info(
self, api_base: Optional[str], api_key: Optional[str]
) -> Tuple[Optional[str], Optional[str]]:
api_base = api_base or get_secret_str("XAI_API_BASE") or XAI_API_BASE # type: ignore
dynamic_api_key = api_key or get_secret_str("XAI_API_KEY")
return api_base, dynamic_api_key
def get_supported_openai_params(self, model: str) -> list:
return [
"frequency_penalty",
"logit_bias",
"logprobs",
"max_tokens",
"n",
"presence_penalty",
"response_format",
"seed",
"stop",
"stream",
"stream_options",
"temperature",
"tool_choice",
"tools",
"top_logprobs",
"top_p",
"user",
]
def map_openai_params(
self,
non_default_params: dict,
optional_params: dict,
model: str,
drop_params: bool = False,
) -> dict:
supported_openai_params = self.get_supported_openai_params(model=model)
for param, value in non_default_params.items():
if param == "max_completion_tokens":
optional_params["max_tokens"] = value
elif param in supported_openai_params:
if value is not None:
optional_params[param] = value
return optional_params