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clean install and import - vertexai
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2 changed files with 15 additions and 3 deletions
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@ -10,6 +10,9 @@ All calls using Vertex AI require the following parameters:
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* Your Project Location
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* Your Project Location
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`litellm.vertex_location` = "us-central1"
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`litellm.vertex_location` = "us-central1"
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### Pre-requisites
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`pip install google-cloud-aiplatform`
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Authentication:
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Authentication:
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VertexAI uses Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information on setting this up
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VertexAI uses Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information on setting this up
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@ -605,7 +605,10 @@ def completion(
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return response
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return response
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response = model_response
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response = model_response
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elif model in litellm.vertex_chat_models:
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elif model in litellm.vertex_chat_models:
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import vertexai
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try:
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import vertexai
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except:
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Exception("vertexai import failed please run `pip install google-cloud-aiplatform`")
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from vertexai.preview.language_models import ChatModel, InputOutputTextPair
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from vertexai.preview.language_models import ChatModel, InputOutputTextPair
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vertexai.init(
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vertexai.init(
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@ -633,7 +636,10 @@ def completion(
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model_response["model"] = model
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model_response["model"] = model
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response = model_response
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response = model_response
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elif model in litellm.vertex_text_models:
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elif model in litellm.vertex_text_models:
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import vertexai
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try:
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import vertexai
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except:
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Exception("vertexai import failed please run `pip install google-cloud-aiplatform`")
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from vertexai.language_models import TextGenerationModel
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from vertexai.language_models import TextGenerationModel
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vertexai.init(
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vertexai.init(
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@ -790,7 +796,10 @@ def completion(
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def completion_with_retries(*args, **kwargs):
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def completion_with_retries(*args, **kwargs):
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import tenacity
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try:
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import tenacity
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except:
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Exception("tenacity import failed please run `pip install tenacity`")
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retryer = tenacity.Retrying(stop=tenacity.stop_after_attempt(3), reraise=True)
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retryer = tenacity.Retrying(stop=tenacity.stop_after_attempt(3), reraise=True)
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return retryer(completion, *args, **kwargs)
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return retryer(completion, *args, **kwargs)
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