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https://github.com/tiennm99/litellm.git
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test_openai_fine_tuning
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@@ -16,7 +16,7 @@ async def test_openai_fine_tuning():
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file_path = os.path.join(_current_dir, file_name)
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response = await client.files.create(
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extra_body={"custom_llm_provider": "azure"},
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extra_body={"custom_llm_provider": "openai"},
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file=open(file_path, "rb"),
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purpose="fine-tune",
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)
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@@ -28,9 +28,9 @@ async def test_openai_fine_tuning():
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# create fine tuning job
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ft_job = await client.fine_tuning.jobs.create(
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model="gpt-35-turbo-0613",
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model="gpt-3.5-turbo",
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training_file=response.id,
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extra_body={"custom_llm_provider": "azure"},
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extra_body={"custom_llm_provider": "openai"},
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)
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print("response from ft job={}".format(ft_job))
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@@ -40,7 +40,7 @@ async def test_openai_fine_tuning():
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# list all fine tuning jobs
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list_ft_jobs = await client.fine_tuning.jobs.list(
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extra_query={"custom_llm_provider": "azure"}
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extra_query={"custom_llm_provider": "openai"}
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)
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print("list of ft jobs={}".format(list_ft_jobs))
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@@ -48,7 +48,7 @@ async def test_openai_fine_tuning():
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# cancel specific fine tuning job
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cancel_ft_job = await client.fine_tuning.jobs.cancel(
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fine_tuning_job_id=ft_job.id,
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extra_body={"custom_llm_provider": "azure"},
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extra_body={"custom_llm_provider": "openai"},
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)
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print("response from cancel ft job={}".format(cancel_ft_job))
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@@ -58,5 +58,5 @@ async def test_openai_fine_tuning():
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# delete OG file
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await client.files.delete(
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file_id=response.id,
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extra_body={"custom_llm_provider": "azure"},
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extra_body={"custom_llm_provider": "openai"},
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)
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