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* build(pyproject.toml): add new dev dependencies - for type checking * build: reformat files to fit black * ci: reformat to fit black * ci(test-litellm.yml): make tests run clear * build(pyproject.toml): add ruff * fix: fix ruff checks * build(mypy/): fix mypy linting errors * fix(hashicorp_secret_manager.py): fix passing cert for tls auth * build(mypy/): resolve all mypy errors * test: update test * fix: fix black formatting * build(pre-commit-config.yaml): use poetry run black * fix(proxy_server.py): fix linting error * fix: fix ruff safe representation error
40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
from typing import Optional, Union
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import httpx
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from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI
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from litellm.llms.azure.common_utils import BaseAzureLLM
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from litellm.llms.openai.fine_tuning.handler import OpenAIFineTuningAPI
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class AzureOpenAIFineTuningAPI(OpenAIFineTuningAPI, BaseAzureLLM):
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"""
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AzureOpenAI methods to support fine tuning, inherits from OpenAIFineTuningAPI.
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"""
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def get_openai_client(
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self,
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api_key: Optional[str],
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api_base: Optional[str],
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timeout: Union[float, httpx.Timeout],
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max_retries: Optional[int],
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organization: Optional[str],
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client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = None,
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_is_async: bool = False,
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api_version: Optional[str] = None,
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litellm_params: Optional[dict] = None,
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) -> Optional[Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI,]]:
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# Override to use Azure-specific client initialization
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if isinstance(client, OpenAI) or isinstance(client, AsyncOpenAI):
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client = None
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return self.get_azure_openai_client(
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litellm_params=litellm_params or {},
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api_key=api_key,
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api_base=api_base,
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api_version=api_version,
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client=client,
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_is_async=_is_async,
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)
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