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This package contains an isomorphic SDK (runs both in Node.js and in browsers) for Azure ConversationAnalysis client.
The language service conversations API is a suite of natural language processing (NLP) skills that can be used to analyze structured conversations (textual or spoken). The synchronous API in this suite accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversational Language Understanding, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload.
In some cases, this API needs to forward requests and responses between the caller and an upstream service. The asynchronous APIs in this suite enable tasks like Conversation Summarization and Conversational PII detection.
Key links:
Getting started
Currently supported environments
- LTS versions of Node.js
- Latest versions of Safari, Chrome, Edge and Firefox.
See our support policy for more details.
Prerequisites
- An Azure subscription.
- An existing [Cognitive Services][cognitive_resource] or Language resource. If you need to create the resource, you can use the Azure Portal or Azure CLI.
If you use the Azure CLI, replace <your-resource-group-name> and <your-resource-name> with your own unique names:
az cognitiveservices account create --kind ConversationalLanguageUnderstanding --resource-group <your-resource-group-name> --name <your-resource-name> --sku <your-sku-name> --location <your-location>
Install the @azure/ai-language-conversations package
Install the Azure ConversationAnalysis client library for JavaScript with npm:
npm install @azure/ai-language-conversations
Create and authenticate a ConversationAnalysisClient
To create a client object to access the Language API, you will need the endpoint of your Language resource and a credential. The Conversation Analysis client can use an API key credential to authenticate.
You can find the endpoint for your Language resource either in the Azure Portal or by using the Azure CLI snippet below:
az cognitiveservices account show --name <your-resource-name> --resource-group <your-resource-group-name> --query "properties.endpoint"
Using an API Key
Use the