mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
feat FT cancel and LIST endpoints for Azure
This commit is contained in:
Ishaan Jaff
parent
c6bff3286c
commit
02736ac8b5
3 changed files with 132 additions and 54 deletions
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@ -279,6 +279,25 @@ def cancel_fine_tuning_job(
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"""
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try:
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optional_params = GenericLiteLLMParams(**kwargs)
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### TIMEOUT LOGIC ###
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timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600
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# set timeout for 10 minutes by default
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if (
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timeout is not None
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and isinstance(timeout, httpx.Timeout)
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and supports_httpx_timeout(custom_llm_provider) == False
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):
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read_timeout = timeout.read or 600
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timeout = read_timeout # default 10 min timeout
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elif timeout is not None and not isinstance(timeout, httpx.Timeout):
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timeout = float(timeout) # type: ignore
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elif timeout is None:
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timeout = 600.0
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_is_async = kwargs.pop("acancel_fine_tuning_job", False) is True
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# OpenAI
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if custom_llm_provider == "openai":
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# for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
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@ -301,25 +320,6 @@ def cancel_fine_tuning_job(
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or litellm.openai_key
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or os.getenv("OPENAI_API_KEY")
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)
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### TIMEOUT LOGIC ###
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timeout = (
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optional_params.timeout or kwargs.get("request_timeout", 600) or 600
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)
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# set timeout for 10 minutes by default
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if (
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timeout is not None
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and isinstance(timeout, httpx.Timeout)
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and supports_httpx_timeout(custom_llm_provider) == False
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):
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read_timeout = timeout.read or 600
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timeout = read_timeout # default 10 min timeout
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elif timeout is not None and not isinstance(timeout, httpx.Timeout):
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timeout = float(timeout) # type: ignore
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elif timeout is None:
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timeout = 600.0
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_is_async = kwargs.pop("acancel_fine_tuning_job", False) is True
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response = openai_fine_tuning_apis_instance.cancel_fine_tuning_job(
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api_base=api_base,
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@ -330,6 +330,40 @@ def cancel_fine_tuning_job(
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max_retries=optional_params.max_retries,
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_is_async=_is_async,
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)
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# Azure OpenAI
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elif custom_llm_provider == "azure":
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api_base = optional_params.api_base or litellm.api_base or get_secret("AZURE_API_BASE") # type: ignore
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api_version = (
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optional_params.api_version
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or litellm.api_version
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or get_secret("AZURE_API_VERSION")
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) # type: ignore
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api_key = (
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optional_params.api_key
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or litellm.api_key
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or litellm.azure_key
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or get_secret("AZURE_OPENAI_API_KEY")
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or get_secret("AZURE_API_KEY")
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) # type: ignore
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extra_body = optional_params.get("extra_body", {})
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azure_ad_token: Optional[str] = None
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if extra_body is not None:
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azure_ad_token = extra_body.pop("azure_ad_token", None)
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else:
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azure_ad_token = get_secret("AZURE_AD_TOKEN") # type: ignore
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response = azure_fine_tuning_apis_instance.cancel_fine_tuning_job(
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api_base=api_base,
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api_key=api_key,
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api_version=api_version,
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fine_tuning_job_id=fine_tuning_job_id,
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timeout=timeout,
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max_retries=optional_params.max_retries,
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_is_async=_is_async,
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)
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else:
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raise litellm.exceptions.BadRequestError(
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message="LiteLLM doesn't support {} for 'create_batch'. Only 'openai' is supported.".format(
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@ -405,6 +439,25 @@ def list_fine_tuning_jobs(
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"""
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try:
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optional_params = GenericLiteLLMParams(**kwargs)
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### TIMEOUT LOGIC ###
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timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600
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# set timeout for 10 minutes by default
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if (
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timeout is not None
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and isinstance(timeout, httpx.Timeout)
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and supports_httpx_timeout(custom_llm_provider) == False
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):
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read_timeout = timeout.read or 600
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timeout = read_timeout # default 10 min timeout
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elif timeout is not None and not isinstance(timeout, httpx.Timeout):
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timeout = float(timeout) # type: ignore
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elif timeout is None:
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timeout = 600.0
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_is_async = kwargs.pop("alist_fine_tuning_jobs", False) is True
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# OpenAI
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if custom_llm_provider == "openai":
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# for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
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@ -427,25 +480,6 @@ def list_fine_tuning_jobs(
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or litellm.openai_key
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or os.getenv("OPENAI_API_KEY")
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)
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### TIMEOUT LOGIC ###
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timeout = (
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optional_params.timeout or kwargs.get("request_timeout", 600) or 600
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)
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# set timeout for 10 minutes by default
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if (
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timeout is not None
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and isinstance(timeout, httpx.Timeout)
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and supports_httpx_timeout(custom_llm_provider) == False
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):
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read_timeout = timeout.read or 600
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timeout = read_timeout # default 10 min timeout
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elif timeout is not None and not isinstance(timeout, httpx.Timeout):
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timeout = float(timeout) # type: ignore
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elif timeout is None:
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timeout = 600.0
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_is_async = kwargs.pop("alist_fine_tuning_jobs", False) is True
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response = openai_fine_tuning_apis_instance.list_fine_tuning_jobs(
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api_base=api_base,
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@ -457,6 +491,41 @@ def list_fine_tuning_jobs(
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max_retries=optional_params.max_retries,
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_is_async=_is_async,
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)
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# Azure OpenAI
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elif custom_llm_provider == "azure":
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api_base = optional_params.api_base or litellm.api_base or get_secret("AZURE_API_BASE") # type: ignore
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api_version = (
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optional_params.api_version
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or litellm.api_version
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or get_secret("AZURE_API_VERSION")
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) # type: ignore
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api_key = (
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optional_params.api_key
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or litellm.api_key
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or litellm.azure_key
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or get_secret("AZURE_OPENAI_API_KEY")
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or get_secret("AZURE_API_KEY")
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) # type: ignore
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extra_body = optional_params.get("extra_body", {})
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azure_ad_token: Optional[str] = None
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if extra_body is not None:
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azure_ad_token = extra_body.pop("azure_ad_token", None)
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else:
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azure_ad_token = get_secret("AZURE_AD_TOKEN") # type: ignore
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response = azure_fine_tuning_apis_instance.list_fine_tuning_jobs(
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api_base=api_base,
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api_key=api_key,
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api_version=api_version,
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after=after,
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limit=limit,
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timeout=timeout,
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max_retries=optional_params.max_retries,
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_is_async=_is_async,
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)
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else:
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raise litellm.exceptions.BadRequestError(
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message="LiteLLM doesn't support {} for 'create_batch'. Only 'openai' is supported.".format(
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