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https://github.com/BerriAI/litellm.git
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2ece919f01
* init commit ft jobs logging
* add ft logging
* add logging for FineTuningJob
* simple FT Job create test
* simplify Azure fine tuning to use all methods in OAI ft
* update doc string
* add aretrieve_fine_tuning_job
* re use from litellm.proxy.utils import handle_exception_on_proxy
* fix naming
* add /fine_tuning/jobs/{fine_tuning_job_id:path}
* remove unused imports
* update func signature
* run ci/cd again
* ci/cd run again
* fix code qulity
* ci/cd run again
48 lines
1.4 KiB
Python
48 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.files.handler import get_azure_openai_client
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from litellm.llms.openai.fine_tuning.handler import OpenAIFineTuningAPI
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class AzureOpenAIFineTuningAPI(OpenAIFineTuningAPI):
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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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) -> Optional[
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Union[
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OpenAI,
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AsyncOpenAI,
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AzureOpenAI,
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AsyncAzureOpenAI,
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]
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]:
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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 get_azure_openai_client(
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api_key=api_key,
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api_base=api_base,
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timeout=timeout,
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max_retries=max_retries,
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organization=organization,
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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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