litellm-mirror/litellm/llms/hosted_vllm/chat/transformation.py
Ishaan Jaff bfb6891eb7
rename llms/OpenAI/ -> llms/openai/ (#7154)
* rename OpenAI -> openai

* fix file rename

* fix rename changes

* fix organization of openai/transcription

* fix import OA fine tuning API

* fix openai ft handler

* fix handler import
2024-12-10 20:14:07 -08:00

45 lines
1.6 KiB
Python

"""
Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions`
"""
import types
from typing import List, Optional, Tuple, Union
from pydantic import BaseModel
import litellm
from litellm.secret_managers.main import get_secret_str
from litellm.types.llms.openai import AllMessageValues, ChatCompletionAssistantMessage
from ....utils import _remove_additional_properties, _remove_strict_from_schema
from ...openai.chat.gpt_transformation import OpenAIGPTConfig
class HostedVLLMChatConfig(OpenAIGPTConfig):
def map_openai_params(
self,
non_default_params: dict,
optional_params: dict,
model: str,
drop_params: bool,
) -> dict:
_tools = non_default_params.pop("tools", None)
if _tools is not None:
# remove 'additionalProperties' from tools
_tools = _remove_additional_properties(_tools)
# remove 'strict' from tools
_tools = _remove_strict_from_schema(_tools)
if _tools is not None:
non_default_params["tools"] = _tools
return super().map_openai_params(
non_default_params, optional_params, model, drop_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("HOSTED_VLLM_API_BASE") # type: ignore
dynamic_api_key = (
api_key or get_secret_str("HOSTED_VLLM_API_KEY") or ""
) # vllm does not require an api key
return api_base, dynamic_api_key