litellm-mirror/litellm/llms/hosted_vllm/chat/transformation.py
Krish Dholakia 38a9a106d2
LiteLLM Minor Fixes & Improvements (10/16/2024) (#6265)
* fix(caching_handler.py): handle positional arguments in add cache logic

Fixes https://github.com/BerriAI/litellm/issues/6264

* feat(litellm_pre_call_utils.py): allow forwarding openai org id to backend client

https://github.com/BerriAI/litellm/issues/6237

* docs(configs.md): add 'forward_openai_org_id' to docs

* fix(proxy_server.py): return model info if user_model is set

Fixes https://github.com/BerriAI/litellm/issues/6233

* fix(hosted_vllm/chat/transformation.py): don't set tools unless non-none

* fix(openai.py): improve debug log for openai 'str' error

Addresses https://github.com/BerriAI/litellm/issues/6272

* fix(proxy_server.py): fix linting error

* fix(proxy_server.py): fix linting errors

* test: skip WIP test

* docs(openai.md): add docs on passing openai org id from client to openai
2024-10-16 22:16:23 -07:00

35 lines
1.1 KiB
Python

"""
Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions`
"""
import types
from typing import List, Optional, Union
from pydantic import BaseModel
import litellm
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
)