test_call_one_endpoint
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@ -544,7 +544,7 @@ def test_call_one_endpoint():
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{
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"model_name": "gpt-3.5-turbo", # openai model name
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"litellm_params": { # params for litellm completion/embedding call
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"model": "azure/gpt-4o-new-test",
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"model": "azure/gpt-4.1-nano",
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"api_key": old_api_key,
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"api_version": os.getenv("AZURE_API_VERSION"),
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"api_base": os.getenv("AZURE_API_BASE"),
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@ -555,7 +555,7 @@ def test_call_one_endpoint():
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{
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"model_name": "text-embedding-ada-002",
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"litellm_params": {
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"model": "azure/azure-embedding-model",
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"model": "azure/text-embedding-ada-002",
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"api_key": os.environ["AZURE_API_KEY"],
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"api_base": os.environ["AZURE_API_BASE"],
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},
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@ -574,7 +574,7 @@ def test_call_one_endpoint():
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async def call_azure_completion():
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response = await router.acompletion(
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model="azure/gpt-4o-new-test",
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model="azure/gpt-4.1-nano",
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messages=[{"role": "user", "content": "hello this request will pass"}],
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specific_deployment=True,
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)
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@ -582,7 +582,7 @@ def test_call_one_endpoint():
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async def call_azure_embedding():
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response = await router.aembedding(
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model="azure/azure-embedding-model",
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model="azure/text-embedding-ada-002",
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input=["good morning from litellm"],
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specific_deployment=True,
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)
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