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try / except rate limit errors

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Ishaan Jaff 2024-07-31 17:42:58 -07:00
parent 1e3b034529
commit 289b468aa1
1 changed files with 42 additions and 34 deletions
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76
litellm/tests/test_fine_tuning_api.py
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@ -133,45 +133,53 @@ async def test_create_fine_tune_jobs_async():
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_azure_create_fine_tune_jobs_async(): async def test_azure_create_fine_tune_jobs_async():
verbose_logger.setLevel(logging.DEBUG) try:
file_name = "azure_fine_tune.jsonl" verbose_logger.setLevel(logging.DEBUG)
_current_dir = os.path.dirname(os.path.abspath(__file__)) file_name = "azure_fine_tune.jsonl"
file_path = os.path.join(_current_dir, file_name) _current_dir = os.path.dirname(os.path.abspath(__file__))
file_path = os.path.join(_current_dir, file_name)
file_id = "file-5e4b20ecbd724182b9964f3cd2ab7212" file_id = "file-5e4b20ecbd724182b9964f3cd2ab7212"
create_fine_tuning_response = await litellm.acreate_fine_tuning_job( create_fine_tuning_response = await litellm.acreate_fine_tuning_job(
model="gpt-35-turbo-1106", model="gpt-35-turbo-1106",
training_file=file_id, training_file=file_id,
custom_llm_provider="azure", custom_llm_provider="azure",
api_key=os.getenv("AZURE_SWEDEN_API_KEY"), api_key=os.getenv("AZURE_SWEDEN_API_KEY"),
api_base="https://my-endpoint-sweden-berri992.openai.azure.com/", api_base="https://my-endpoint-sweden-berri992.openai.azure.com/",
) )
print("response from litellm.create_fine_tuning_job=", create_fine_tuning_response) print(
"response from litellm.create_fine_tuning_job=", create_fine_tuning_response
)
assert create_fine_tuning_response.id is not None assert create_fine_tuning_response.id is not None
assert create_fine_tuning_response.model == "gpt-35-turbo-1106" assert create_fine_tuning_response.model == "gpt-35-turbo-1106"
# list fine tuning jobs # list fine tuning jobs
print("listing ft jobs") print("listing ft jobs")
ft_jobs = await litellm.alist_fine_tuning_jobs( ft_jobs = await litellm.alist_fine_tuning_jobs(
limit=2, limit=2,
custom_llm_provider="azure", custom_llm_provider="azure",
api_key=os.getenv("AZURE_SWEDEN_API_KEY"), api_key=os.getenv("AZURE_SWEDEN_API_KEY"),
api_base="https://my-endpoint-sweden-berri992.openai.azure.com/", api_base="https://my-endpoint-sweden-berri992.openai.azure.com/",
) )
print("response from litellm.list_fine_tuning_jobs=", ft_jobs) print("response from litellm.list_fine_tuning_jobs=", ft_jobs)
# cancel ft job # cancel ft job
response = await litellm.acancel_fine_tuning_job( response = await litellm.acancel_fine_tuning_job(
fine_tuning_job_id=create_fine_tuning_response.id, fine_tuning_job_id=create_fine_tuning_response.id,
custom_llm_provider="azure", custom_llm_provider="azure",
api_key=os.getenv("AZURE_SWEDEN_API_KEY"), api_key=os.getenv("AZURE_SWEDEN_API_KEY"),
api_base="https://my-endpoint-sweden-berri992.openai.azure.com/", api_base="https://my-endpoint-sweden-berri992.openai.azure.com/",
) )
print("response from litellm.cancel_fine_tuning_job=", response) print("response from litellm.cancel_fine_tuning_job=", response)
assert response.status == "cancelled" assert response.status == "cancelled"
assert response.id == create_fine_tuning_response.id assert response.id == create_fine_tuning_response.id
except openai.RateLimitError:
pass
except Exception as e:
pytest.fail(f"Error occurred: {e}")
pass