mirror of
https://github.com/BerriAI/litellm.git
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2b9db05e08
* feat(proxy_cli.py): add new 'log_config' cli param Allows passing logging.conf to uvicorn on startup * docs(cli.md): add logging conf to uvicorn cli docs * fix(get_llm_provider_logic.py): fix default api base for litellm_proxy Fixes https://github.com/BerriAI/litellm/issues/6332 * feat(openai_like/embedding): Add support for jina ai embeddings Closes https://github.com/BerriAI/litellm/issues/6337 * docs(deploy.md): update entrypoint.sh filepath post-refactor Fixes outdated docs * feat(prometheus.py): emit time_to_first_token metric on prometheus Closes https://github.com/BerriAI/litellm/issues/6334 * fix(prometheus.py): only emit time to first token metric if stream is True enables more accurate ttft usage * test: handle vertex api instability * fix(get_llm_provider_logic.py): fix import * fix(openai.py): fix deepinfra default api base * fix(anthropic/transformation.py): remove anthropic beta header (#6361)
45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
"""
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Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions`
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"""
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import types
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from typing import List, Optional, Tuple, Union
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from pydantic import BaseModel
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import litellm
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from litellm.secret_managers.main import get_secret_str
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from litellm.types.llms.openai import AllMessageValues, ChatCompletionAssistantMessage
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from ....utils import _remove_additional_properties, _remove_strict_from_schema
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from ...OpenAI.chat.gpt_transformation import OpenAIGPTConfig
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class HostedVLLMChatConfig(OpenAIGPTConfig):
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def map_openai_params(
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self,
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non_default_params: dict,
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optional_params: dict,
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model: str,
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drop_params: bool,
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) -> dict:
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_tools = non_default_params.pop("tools", None)
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if _tools is not None:
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# remove 'additionalProperties' from tools
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_tools = _remove_additional_properties(_tools)
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# remove 'strict' from tools
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_tools = _remove_strict_from_schema(_tools)
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if _tools is not None:
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non_default_params["tools"] = _tools
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return super().map_openai_params(
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non_default_params, optional_params, model, drop_params
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)
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def _get_openai_compatible_provider_info(
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self, api_base: Optional[str], api_key: Optional[str]
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) -> Tuple[Optional[str], Optional[str]]:
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api_base = api_base or get_secret_str("HOSTED_VLLM_API_BASE") # type: ignore
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dynamic_api_key = (
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api_key or get_secret_str("HOSTED_VLLM_API_KEY") or ""
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) # vllm does not require an api key
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return api_base, dynamic_api_key
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