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"""
Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions`
"""
from typing import List, Optional, Tuple
from litellm.secret_managers.main import get_secret_str
from ...openai.chat.gpt_transformation import OpenAIGPTConfig
class LiteLLMProxyChatConfig(OpenAIGPTConfig):
def get_supported_openai_params(self, model: str) -> List:
list = super().get_supported_openai_params(model)
list.append("thinking")
list.append("reasoning_effort")
return list
def _map_openai_params(
self,
non_default_params: dict,
optional_params: dict,
model: str,
drop_params: bool,
) -> dict:
supported_openai_params = self.get_supported_openai_params(model)
for param, value in non_default_params.items():
if param == "thinking":
optional_params.setdefault("extra_body", {})["thinking"] = value
elif param in supported_openai_params:
optional_params[param] = value
return optional_params
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("LITELLM_PROXY_API_BASE") # type: ignore
dynamic_api_key = api_key or get_secret_str("LITELLM_PROXY_API_KEY")
return api_base, dynamic_api_key
def get_models(
self, api_key: Optional[str] = None, api_base: Optional[str] = None
) -> List[str]:
api_base, api_key = self._get_openai_compatible_provider_info(api_base, api_key)
if api_base is None:
raise ValueError(
"api_base not set for LiteLLM Proxy route. Set in env via `LITELLM_PROXY_API_BASE`"
)
models = super().get_models(api_key=api_key, api_base=api_base)
return [f"litellm_proxy/{model}" for model in models]
@staticmethod
def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
return api_key or get_secret_str("LITELLM_PROXY_API_KEY")
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