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feat: Support for Vertex AI - load Default Application Configuration (#4641)
Co-authored-by: miendinh <miendinh@users.noreply.github.com> Co-authored-by: crazywoola <427733928@qq.com>
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@ -164,10 +164,13 @@ class VertexAiLargeLanguageModel(LargeLanguageModel):
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config_kwargs["stop_sequences"] = stop
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service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"]))
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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project_id = credentials["vertex_project_id"]
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location = credentials["vertex_location"]
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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if service_account_info:
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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else:
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aiplatform.init(project=project_id, location=location)
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history = []
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system_instruction = GEMINI_BLOCK_MODE_PROMPT
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@ -41,15 +41,16 @@ class VertexAiTextEmbeddingModel(_CommonVertexAi, TextEmbeddingModel):
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:return: embeddings result
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"""
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service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"]))
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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project_id = credentials["vertex_project_id"]
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location = credentials["vertex_location"]
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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if service_account_info:
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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else:
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aiplatform.init(project=project_id, location=location)
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client = VertexTextEmbeddingModel.from_pretrained(model)
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embeddings_batch, embedding_used_tokens = self._embedding_invoke(
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client=client,
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texts=texts
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@ -103,10 +104,13 @@ class VertexAiTextEmbeddingModel(_CommonVertexAi, TextEmbeddingModel):
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"""
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try:
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service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"]))
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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project_id = credentials["vertex_project_id"]
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location = credentials["vertex_location"]
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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if service_account_info:
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service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
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aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
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else:
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aiplatform.init(project=project_id, location=location)
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client = VertexTextEmbeddingModel.from_pretrained(model)
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@ -36,8 +36,8 @@ provider_credential_schema:
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en_US: Enter your Google Cloud Location
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- variable: vertex_service_account_key
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label:
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en_US: Service Account Key
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en_US: Service Account Key (Leave blank if you use Application Default Credentials)
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type: secret-input
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required: true
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required: false
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placeholder:
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en_US: Enter your Google Cloud Service Account Key in base64 format
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