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specification/inference/put_azureaistudio/PutAzureAiStudioRequest.ts

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@@ -27,7 +27,7 @@ import { float, integer } from '@_types/Numeric'
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/**
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* Create an OpenAI inference endpoint.
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*
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*
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* Creates an inference endpoint to perform an inference task with the `azureaistudio` service.
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*
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* When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running.

specification/inference/put_azureaistudio/examples/request/PutAzureAiStudioRequestExample1.yaml

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@@ -3,12 +3,12 @@ description: Run `PUT _inference/text_embedding/azure_ai_studio_embeddings` to c
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# method_request: "PUT _inference/text_embedding/azure_ai_studio_embeddings"
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# type: "request"
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value: |-
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{
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"service": "azureaistudio",
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"service_settings": {
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"api_key": "Azure-AI-Studio-API-key",
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"target": "Target-Uri",
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"provider": "openai",
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"endpoint_type": "token"
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}
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}
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{
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"service": "azureaistudio",
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"service_settings": {
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"api_key": "Azure-AI-Studio-API-key",
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"target": "Target-Uri",
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"provider": "openai",
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"endpoint_type": "token"
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}
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}

specification/inference/put_azureaistudio/examples/request/PutAzureAiStudioRequestExample2.yaml

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@@ -3,12 +3,12 @@ description: Run `PUT _inference/completion/azure_ai_studio_completion` to creat
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# method_request: "PUT _inference/completion/azure_ai_studio_completion"
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# type: "request"
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value: |-
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{
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"service": "azureaistudio",
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"service_settings": {
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"api_key": "Azure-AI-Studio-API-key",
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"target": "Target-URI",
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"provider": "databricks",
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"endpoint_type": "realtime"
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}
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}
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{
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"service": "azureaistudio",
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"service_settings": {
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"api_key": "Azure-AI-Studio-API-key",
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"target": "Target-URI",
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"provider": "databricks",
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"endpoint_type": "realtime"
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}
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}

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