mirror of
https://github.com/BerriAI/litellm.git
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(Feat) - new endpoint GET /v1/fine_tuning/jobs/{fine_tuning_job_id:path} (#7427)
* 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
This commit is contained in:
Ishaan Jaff
GitHub
parent
5e8c64f128
commit
2ece919f01
5 changed files with 400 additions and 227 deletions
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@ -1,7 +1,7 @@
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from typing import Any, Coroutine, Optional, Union
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import httpx
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from openai import AsyncOpenAI, OpenAI
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from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI
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from openai.types.fine_tuning import FineTuningJob
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from litellm._logging import verbose_logger
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@ -22,11 +22,23 @@ class OpenAIFineTuningAPI:
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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[Union[OpenAI, AsyncOpenAI]] = None,
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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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) -> Optional[Union[OpenAI, AsyncOpenAI]]:
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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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received_args = locals()
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = None
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openai_client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = None
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if client is None:
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data = {}
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for k, v in received_args.items():
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@ -48,7 +60,7 @@ class OpenAIFineTuningAPI:
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async def acreate_fine_tuning_job(
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self,
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create_fine_tuning_job_data: dict,
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openai_client: AsyncOpenAI,
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openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
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) -> FineTuningJob:
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response = await openai_client.fine_tuning.jobs.create(
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**create_fine_tuning_job_data
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@ -61,12 +73,17 @@ class OpenAIFineTuningAPI:
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create_fine_tuning_job_data: dict,
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api_key: Optional[str],
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api_base: Optional[str],
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api_version: 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[Union[OpenAI, AsyncOpenAI]] = None,
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client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = None,
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) -> Union[FineTuningJob, Coroutine[Any, Any, FineTuningJob]]:
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
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openai_client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = self.get_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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@ -74,6 +91,7 @@ class OpenAIFineTuningAPI:
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organization=organization,
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client=client,
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_is_async=_is_async,
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api_version=api_version,
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)
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if openai_client is None:
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raise ValueError(
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@ -81,7 +99,7 @@ class OpenAIFineTuningAPI:
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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if not isinstance(openai_client, (AsyncOpenAI, AsyncAzureOpenAI)):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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@ -98,7 +116,7 @@ class OpenAIFineTuningAPI:
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async def acancel_fine_tuning_job(
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self,
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fine_tuning_job_id: str,
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openai_client: AsyncOpenAI,
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openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
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) -> FineTuningJob:
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response = await openai_client.fine_tuning.jobs.cancel(
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fine_tuning_job_id=fine_tuning_job_id
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@ -111,12 +129,17 @@ class OpenAIFineTuningAPI:
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fine_tuning_job_id: str,
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api_key: Optional[str],
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api_base: Optional[str],
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api_version: 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[Union[OpenAI, AsyncOpenAI]] = None,
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client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = None,
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):
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
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openai_client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = self.get_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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@ -124,6 +147,7 @@ class OpenAIFineTuningAPI:
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organization=organization,
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client=client,
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_is_async=_is_async,
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api_version=api_version,
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)
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if openai_client is None:
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raise ValueError(
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@ -131,7 +155,7 @@ class OpenAIFineTuningAPI:
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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if not isinstance(openai_client, (AsyncOpenAI, AsyncAzureOpenAI)):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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@ -147,7 +171,7 @@ class OpenAIFineTuningAPI:
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async def alist_fine_tuning_jobs(
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self,
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openai_client: AsyncOpenAI,
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openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
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after: Optional[str] = None,
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limit: Optional[int] = None,
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):
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@ -159,14 +183,19 @@ class OpenAIFineTuningAPI:
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_is_async: bool,
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api_key: Optional[str],
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api_base: Optional[str],
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api_version: 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[Union[OpenAI, AsyncOpenAI]] = None,
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client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = None,
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after: Optional[str] = None,
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limit: Optional[int] = None,
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):
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
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openai_client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = self.get_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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@ -174,6 +203,7 @@ class OpenAIFineTuningAPI:
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organization=organization,
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client=client,
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_is_async=_is_async,
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api_version=api_version,
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)
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if openai_client is None:
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raise ValueError(
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@ -181,7 +211,7 @@ class OpenAIFineTuningAPI:
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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if not isinstance(openai_client, (AsyncOpenAI, AsyncAzureOpenAI)):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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@ -193,4 +223,59 @@ class OpenAIFineTuningAPI:
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verbose_logger.debug("list fine tuning job, after= %s, limit= %s", after, limit)
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response = openai_client.fine_tuning.jobs.list(after=after, limit=limit) # type: ignore
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return response
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pass
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async def aretrieve_fine_tuning_job(
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self,
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fine_tuning_job_id: str,
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openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
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) -> FineTuningJob:
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response = await openai_client.fine_tuning.jobs.retrieve(
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fine_tuning_job_id=fine_tuning_job_id
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)
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return response
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def retrieve_fine_tuning_job(
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self,
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_is_async: bool,
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fine_tuning_job_id: str,
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api_key: Optional[str],
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api_base: Optional[str],
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api_version: 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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):
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openai_client: Optional[
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Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
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] = self.get_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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client=client,
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_is_async=_is_async,
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api_version=api_version,
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)
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if openai_client is None:
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raise ValueError(
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"OpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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return self.aretrieve_fine_tuning_job( # type: ignore
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fine_tuning_job_id=fine_tuning_job_id,
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openai_client=openai_client,
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)
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verbose_logger.debug("retrieving fine tuning job, id= %s", fine_tuning_job_id)
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response = openai_client.fine_tuning.jobs.retrieve(
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fine_tuning_job_id=fine_tuning_job_id
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)
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return response
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