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Litellm ruff linting enforcement (#5992)
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
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263 changed files with 1687 additions and 3320 deletions
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@ -25,7 +25,7 @@ from litellm.llms.fine_tuning_apis.openai import (
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OpenAIFineTuningAPI,
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)
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from litellm.llms.fine_tuning_apis.vertex_ai import VertexFineTuningAPI
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from litellm.secret_managers.main import get_secret
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from litellm.secret_managers.main import get_secret_str
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from litellm.types.llms.openai import Hyperparameters
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from litellm.types.router import *
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from litellm.utils import supports_httpx_timeout
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@ -119,7 +119,7 @@ def create_fine_tuning_job(
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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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and supports_httpx_timeout(custom_llm_provider) is 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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@ -177,28 +177,27 @@ def create_fine_tuning_job(
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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_base = optional_params.api_base or litellm.api_base or get_secret_str("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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or get_secret_str("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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or get_secret_str("AZURE_OPENAI_API_KEY")
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or get_secret_str("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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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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get_secret_str("AZURE_AD_TOKEN") # type: ignore
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create_fine_tuning_job_data = FineTuningJobCreate(
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model=model,
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@ -228,14 +227,14 @@ def create_fine_tuning_job(
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vertex_ai_project = (
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optional_params.vertex_project
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or litellm.vertex_project
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or get_secret("VERTEXAI_PROJECT")
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or get_secret_str("VERTEXAI_PROJECT")
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)
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vertex_ai_location = (
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optional_params.vertex_location
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or litellm.vertex_location
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or get_secret("VERTEXAI_LOCATION")
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or get_secret_str("VERTEXAI_LOCATION")
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)
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vertex_credentials = optional_params.vertex_credentials or get_secret(
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vertex_credentials = optional_params.vertex_credentials or get_secret_str(
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"VERTEXAI_CREDENTIALS"
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)
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create_fine_tuning_job_data = FineTuningJobCreate(
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@ -315,7 +314,7 @@ async def acancel_fine_tuning_job(
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def cancel_fine_tuning_job(
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fine_tuning_job_id: str,
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custom_llm_provider: Literal["openai"] = "openai",
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custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
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extra_headers: Optional[Dict[str, str]] = None,
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extra_body: Optional[Dict[str, str]] = None,
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**kwargs,
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@ -335,7 +334,7 @@ def cancel_fine_tuning_job(
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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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and supports_httpx_timeout(custom_llm_provider) is 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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@ -386,23 +385,22 @@ def cancel_fine_tuning_job(
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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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or get_secret_str("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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or get_secret_str("AZURE_OPENAI_API_KEY")
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or get_secret_str("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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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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get_secret_str("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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@ -438,7 +436,7 @@ async def alist_fine_tuning_jobs(
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extra_headers: Optional[Dict[str, str]] = None,
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extra_body: Optional[Dict[str, str]] = None,
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**kwargs,
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) -> FineTuningJob:
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):
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"""
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Async: List your organization's fine-tuning jobs
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"""
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@ -473,7 +471,7 @@ async def alist_fine_tuning_jobs(
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def list_fine_tuning_jobs(
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after: Optional[str] = None,
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limit: Optional[int] = None,
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custom_llm_provider: Literal["openai"] = "openai",
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custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
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extra_headers: Optional[Dict[str, str]] = None,
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extra_body: Optional[Dict[str, str]] = None,
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**kwargs,
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@ -495,7 +493,7 @@ def list_fine_tuning_jobs(
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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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and supports_httpx_timeout(custom_llm_provider) is 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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@ -542,28 +540,27 @@ def list_fine_tuning_jobs(
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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_base = optional_params.api_base or litellm.api_base or get_secret_str("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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or get_secret_str("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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or get_secret_str("AZURE_OPENAI_API_KEY")
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or get_secret_str("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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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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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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