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build(pyproject.toml): add new dev dependencies - for type checking (#9631)

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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
This commit is contained in:
Krish Dholakia 2025-03-29 11:02:13 -07:00 • committed by GitHub
parent 95e5dfae5a
commit 9b7ebb6a7d
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214 changed files with 1553 additions and 1433 deletions
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72
litellm/llms/azure/batches/handler.py
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@ -50,15 +50,15 @@ class AzureBatchesAPI(BaseAzureLLM):
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
litellm_params: Optional[dict] = None,
) -> Union[LiteLLMBatch, Coroutine[Any, Any, LiteLLMBatch]]:
azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
azure_client: Optional[
Union[AzureOpenAI, AsyncAzureOpenAI]
] = self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
if azure_client is None:
raise ValueError(
@ -96,15 +96,15 @@ class AzureBatchesAPI(BaseAzureLLM):
client: Optional[AzureOpenAI] = None,
litellm_params: Optional[dict] = None,
):
azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
azure_client: Optional[
Union[AzureOpenAI, AsyncAzureOpenAI]
] = self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
if azure_client is None:
raise ValueError(
@ -144,15 +144,15 @@ class AzureBatchesAPI(BaseAzureLLM):
client: Optional[AzureOpenAI] = None,
litellm_params: Optional[dict] = None,
):
azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
azure_client: Optional[
Union[AzureOpenAI, AsyncAzureOpenAI]
] = self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
if azure_client is None:
raise ValueError(
@ -183,15 +183,15 @@ class AzureBatchesAPI(BaseAzureLLM):
client: Optional[AzureOpenAI] = None,
litellm_params: Optional[dict] = None,
):
azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
azure_client: Optional[
Union[AzureOpenAI, AsyncAzureOpenAI]
] = self.get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=_is_async,
litellm_params=litellm_params or {},
)
if azure_client is None:
raise ValueError(