Azure openai caching tutorial. Build your skills with Microsoft Learn training.

Assistants token limit. # Function to make a completion call. . Then, set OPENAI_API_TYPE to azure_ad. Models in Azure OpenAI service The Azure OpenAI service offers users access to a range of different models, such as gpt-35-turbo, gpt-35-turbo-16k, gpt-4 and gpt-4-32k, each with its own capabilities and Knowledge Graph memory using Langchain's entity cache; Qdrant vector store for embeddings via Langchain; MS Graph API intent invoked via Semantic Kernel's skills; Miyagi prompt engineered chat interaction using LangChain's PromptTemplate; Azure OpenAI GPT-3. A query vector is generated to represent the user's search query. env as follows: Jun 14, 2023 · Get started with Azure OpenAI Service . azure. net. You can use it to To use AAD in Python with LangChain, install the azure-identity package. You can easily adapt these models to your specific task, such as content generation, summarization, semantic search, converting text to semantically powerful embeddings vectors, and natural GPTCache is easy to use and can reduce the latency of LLM queries by 100x in just two steps: Build your cache. create(engine="text-davinci-001", Nov 19, 2023 · In this tutorial we will use the Basic tier to explore semantic ranker with Azure AI Search. This repo contains code samples and links to help you get started with retrieval augmentation generation (RAG) on Azure. 5-turbo You use Azure OpenAI Service to generate LLM responses to queries and cache those responses using Azure Cache for Redis, delivering faster responses and lowering costs. To make it easier to scale your prompting workflows from a few examples to large datasets of examples, we have integrated the Azure OpenAI service with the distributed machine learning library SynapseML. Apr 3, 2024 · Call an operation and test the caching. 100,000. It can connect to Azure OpenAI resources or to the non-Azure OpenAI inference endpoint, making it a great choice for even non-Azure OpenAI Welcome to my Azure OpenAI Service series! In this tutorial, we'll explore the GPT-4 for Azure OpenAI Service. 6 contoso. In this article. The dataset is transformed into a set of vector embeddings using an appropriate algorithm. 10,000 when using the API or AI Studio. Search for ' Azure OpenAI ' in the Marketplace and select Create Azure OpenAI. Insert data into an Azure Cosmos DB for NoSQL database and container; Create embeddings from a data property using Azure OpenAI Embeddings Caching - In-Memory, Redis, s3, Redis Semantic Cache, Disk Tutorials. GPTCache: GPTCache is an opensource framework (MIT License) and employs embedding algorithms to convert queries into embeddings and performing similarity search on the embeddings. 0. net Azure OpenAI Studio. 00:00 Intro01:20 Pricing and Features02:18 Depl Mar 1, 2024 · Introduction One of the ways to optimize cost and performance of Large Language Models (LLMs) is to cache the responses from LLMs, this is sometimes referred to as “semantic caching”. def make_completion(model, messages): response = completion(. Jul 17, 2023 · in version 1. Azure subscription with access enabled for the Azure OpenAI service. Set an environment variable called OPENAI_API_KEY with your API key. Next, use the DefaultAzureCredential class to get a token from AAD by calling get_token as shown below. Azure OpenAI co-develops the APIs with OpenAI, ensuring compatibility and a smooth transition from one to the other. Feb 5, 2024 · To utilize Azure’s OpenAI service, the initial step involves creating and deploying it. 5 days ago · The article discusses integrating OpenAI with a web app using Azure OpenAI Studio. Making an API request. The samples follow a RAG pattern that include the following steps: Add sample data to an Azure database product; Create embeddings from the sample data using an Azure OpenAI Embeddings model Jul 2, 2024 · Deploying GPT-4 Turbo with Vision GA. 5, Codex, and DALL•E 2—backed by the trusted enterprise-grade capabilities and AI-optimized infrastructure of Microsoft Azure, to create cutting-edge applications. The Azure OpenAI service can be used to solve a large number of natural language tasks through prompting the completion API. May 22, 2023 · As a strategic partner, OpenAI's cutting-edge AI technologies can be seamlessly combined with Azure Cache for Redis Enterprise, enabling you to create intelligent applications that offer personalized recommendations, advanced search capabilities, and natural language understanding. api_key = mykey. Companies of all sizes are putting Azure AI to work for them, many deploying language models into production using Azure OpenAI Service, and knowing Learn more about using Azure OpenAI and embeddings to perform document search with our embeddings tutorial. Mar 26, 2024 · Azure OpenAI Service On Your Data makes conversational experiences come alive for your employees, customers and users. Content detected at the 'safe' severity level Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. To deploy the GA model from the Studio UI, select GPT-4 and then choose the turbo-2024-04-09 version from the dropdown menu. Proceed with caution if updating this default. The file size limit for the Azure OpenAI Whisper model is 25 MB. Get started for Azure developers. . search. 2 days ago · Maximum number of Provisioned throughput units per deployment. Azure Machine Learning, use a search index as a vector store in a prompt flow. The script’s use case is to predict ICD (International Jun 25, 2024 · APPLIES TO: Basic v2 | Standard v2. Distributed Caching; If you were to scale your GPTCache deployment horizontally using in-memory caching, it won't be possible. Fill in the details such as Subscription, Resource Group, Region, and Service Name. For example: import openai. Prerequisites. core. Max files per Assistant/thread. Nov 15, 2023 · Advances in artificial intelligence and machine learning help companies improve their customer experiences, such as the Retrieval Augmented Generation (RAG) pattern. Ragas also uses AzureOpenAI for running some metrics so make sure you have your Azure OpenAI key, base URL and other information available in your environment. The screenshot contains an example of input text and output response in the OpenAI playground. response = openai. You can expect a cost of approximately $2. None. In this quickstart, you use the Azure OpenAI Whisper model for speech to text. Finally, set the OPENAI_API_KEY environment variable to the token value. This integration allows for easy testing, validation, fine-tuning, and deployment of chatbots to Azure Web Apps. Sep 27, 2023 · In this tutorial, you learn how to: Create an Azure Cache for Redis instance configured for vector search. PTUs, on the other hand, offer a predictable pricing model where you reserve and deploy a specific amount of model processing capacity Jul 3, 2024 · The azure-openai-semantic-cache-store policy caches responses to Azure OpenAI Chat Completion API and Completion API requests to a configured external cache. In this tutorial, you learn how to: Install Azure OpenAI. Azure’s Integration Advantage: Azure OpenAI isn’t just Jul 3, 2023 · Step 1: DNS Query – Resolve in my sample, https://privategpt. Mar 21, 2023 · With GPT-4 in Azure OpenAI Service, businesses can streamline communications internally as well as with their customers, using a model with additional safety investments to reduce harmful outputs. 1. You can return cached responses for identical queries and also for To analyze logs and metrics data with Azure Monitor Log Analytics queries, you need to configure diagnostic settings for your Azure OpenAI resource and your Log Analytics workspace. 5 basic flow; GPT-3. But basically you need the following information. Recognize that using multiple models in These embeddings are persisted to the vector database. The control plane API is used for things like creating Azure OpenAI resources, model deployment, and other higher level resource management tasks. Choose the Pricing tier (e. By utilizing Azure OpenAI Studio, the need for frontend development work is reduced, saving time and resources. Instead of hard-coding paths though the system, Semantic Kernel & OpenAI can decide for themselves what Mar 20, 2024 · How to get embeddings. What is semantic caching? Caching systems […] First, you have to figure out how to actually integrate the latest advances from Azure OpenAI Service into your application. x. When you use the Python API, a list of dictionaries is used. gpt4 or gpt-35-turbo-16k), and an Embedding model (text-embedding-ada-002). com) Caching LLM Queries for performance & cost improvements | by Zilliz | Nov, 2023 | Medium May 15, 2023 · If you are using the openai-node library, you can set your endpoint like this: Learn to build your own copilot using the Azure AI Studio with core resources (Azure AI Services) and tools (Azure AI SDK, Azure AI CLI). Say 'Stop' or press Ctrl-Z to end the conversation. Identify where one or more can be deployed to achieve a cost-effective solution. Step 3 - Add the Managed Identity policy in APIM: Learn how to build and manage powerful applications using Microsoft Azure cloud services. The format of a basic chat completion is: Jan 14, 2024 · In this tutorial, you use Azure Cache for Redis as a semantic cache with an AI-based large language model (LLM). Copy. May 21, 2024 · In the Azure portal, select Resource groups on the far left. Inference cost (input and output) varies based on the GPT model used with each Assistant. It will open a page displaying various resources. The default quota for the gpt-4-turbo-2024-04-09 model will be the same as current quota for GPT-4-Turbo. Get started with GPT-4 in Azure OpenAI Service in Microsoft Learn. This integration makes it easy to use the Apache Spark distributed In this module you'll learn how to: Describe Azure OpenAI workloads and access the Azure OpenAI Service. Web app. Console. OpenAI Python 1. PowerShell. Semantic caching for LLMs. To see the caching in action, call the operation from the developer portal. Select the APIs tab. Understand Azure OpenAI's responsible AI practices and limited access policies. import threading. Support Redis distributed cache Azure OpenAI Studio offers advanced AI models for a variety of use cases, customizable to your requirements. Inside the file, copy and paste one of the examples below: ChatCompletions. net 10. Design your app using the Azure Architecture Center. You use Azure OpenAI Service to generate LLM responses to queries and cache those responses using Azure Cache for Redis, delivering faster responses and lowering costs. Download a sample dataset and prepare it for analysis. The nature of AOAI calls are stateless, so to be able to create a "Cache" layer you will build solution using Cognitive Search (or other Vector DB) for custom May 21, 2024 · Published date: May 21, 2024. Example: <azure-openai-semantic-cache-store duration="60" /> Confirm caching. 10. Understand Azure OpenAI's language, code, and image capabilities. Using Azure OpenAI Service and Azure AI Search SDK, the RAG pattern can revolutionize the customer support experience. Download the movie dataset and prepare it for analysis. $0. With the addition of Elasticsearch vector database and vector search technology, LLMs are enriched by your business data, and conversations deliver superior quality responses out-of-the-box. GPT-4o max images per request (# of images in the messages array Azure OpenAI fine-tuning billing is now based on the number of tokens in your training file – instead of the total elapsed training time. Azure OpenAI needs both a storage resource and a search resource to access and index your data. As ISVs and Digital Natives creating reliable AI solutions with high-volume token usage, you should: Take a step-by-step approach to discovering the potential use cases for specific models in Azure OpenAI. Build your skills with Microsoft Learn training. If you want to use OpenAI models, there are two ways to use them: using OpenAI’s API, and using Azure OpenAI Service . Click the Test tab in the top right menu. After you have Python configured and set up an API key, the final step is to send a request to the OpenAI API using the Python library. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. blob. Azure OpenAI Studio, use a search index with or without vectors. You can check the langchain docs or the Azure docs for more information. In this blog, we will discuss the approaches, benefits, common scenarios and key considerations for using semantic caching. The control plane also governs what is possible to do with capabilities like Azure Resource Manager, Bicep, Terraform, and Nov 9, 2023 · A brute-force process for vector similarity search can be described as follows: 1. Understand generative AI models. If you need to transcribe a file larger than 25 MB, you can use the Azure AI Speech batch transcription API. Choose your LLM. The vectors are placed into a search index (like HNSW) 3. Learn about Azure OpenAI Service and the latest enhancements. If your access request to Azure OpenAI service doesn't match the acceptance criteria, you can use OpenAI public API instead. Create an Azure AI project and AI resources for your copilot. Select Delete resource group. (linkedin. Jun 25, 2024 · In the Outbound processing section for the API, add the azure-openai-semantic-cache-store policy. Mar 19, 2024 · In this article. Step 2 – Provide necessary RBAC: In the IAM of Azure OpenAI service add the OpenAI user role for the APIM Managed Identity (Managed Identity will have the same name of APIM). Next steps. Nov 13, 2023 · b) AAD authentication from APIM to Azure OpenAI. Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-3. It combines the power of GPT-4 and other models from the team at Open AI, via the Azure platform, facilitating its integration into our projects. To learn more, you can consult the official announcement. In particular, you’ll need to decide on an embedding function, similarity evaluation function, where to store your data, and the eviction policy. Step 5: Connect to Azure Front Door distribution. In this module you'll learn how to: Describe Azure OpenAI workloads and access the Azure OpenAI Service. Interested in using Azure OpenAI to add AI functionality into your apps? This video walks you through setting up an Azure OpenAI service resource in the Azur Azure OpenAI shares a common control plane with all other Azure AI Services. It's great that OutSystems is delivering such a crucial connector, one which will be key for the next phase of software development. 28. 7 contoso. To do this, create a file named openai-test. Moreover, if you use models other than those hosted by OpenAI or Azure, you may incur additional risks related to alignment and safety. If your assistant calls Code Interpreter simultaneously in two different threads, this would create two Code Interpreter sessions (2 * $0. 03 /session. openai. For tutorials and sample applications on how to use Azure Cache for Redis and Azure OpenAI to perform vector similarity search, see the following: Tutorial: Conduct vector similarity search on Azure OpenAI embeddings using Azure Cache for Redis with LangChain; Sample: Using Redis as vector database in a Chatbot application with . Get documentation, example code, tutorials, and more. Pay-As-You-Go allows you to pay for the resources you consume, making it flexible for variable workloads. env file at the root of your repo containing OPENAI_API_KEY=<your API key>, which will be picked up by the notebooks. Azure OpenAI Service offers pricing based on both Pay-As-You-Go and Provisioned Throughput Units (PTUs). You should be able to use all Azure OpenAI Studio features, including both ingestion and inference, from your on-premises client machines. Read our Partner announcement blog, Empowering partners to develop AI-powered apps and experiences with ChatGPT Feb 23, 2024 · Step 3: Create an Azure OpenAI Resource ; Inside your resource group, select Create Resources. Code Interpreter. To make it easier to scale your prompting workflows from a few examples to large datasets of examples, Azure OpenAI Service is integrated with the distributed machine learning library SynapseML. import os. 5-turbo) and import os. 5, GPT-4, and embeddings model series. Step 2: DNS Response – Return CNAME FQDN of Azure Front Door distribution. See the regional quota limits. RedisVL provides a SemanticCache interface that uses Redis's built-in caching capabilities and vector search to store responses from previously-answered questions. To confirm that semantic caching is working as expected, trace a test Completion or Chat Completion operation using the test console in the portal. Jan 8, 2024 · AZURE_OPENAI_DEPLOYMENT: the name of the ChatGPT deployment used by your Azure OpenAI resource, for example gpt-35-turbo. On the Diagnostic settings page, select Add diagnostic setting. windows. The messages parameter takes an array of message objects with a conversation organized by role. Step 3: DNS Query – Resolve Azure Front Door distribution. Since the cached information would be limited to the single pod. baldacchino. May 30, 2023 · Get Azure OpenAI endpoint and key and add it to a file called . Install Azure OpenAI and other required Python libraries. Apply for access to Azure OpenAI Service by completing this form. g. In the pane that appears, select Upload files (preview) under Select data source. Alternatively, you can find the value in the Azure OpenAI Studio > Playground > Code View. 03 ). 1. May 21, 2024 · Published date: May 21, 2024. The Azure OpenAI embedding model is used to convert the query into vector embeddings. GPTCache currently supports OpenAI’s ChatGPT (GPT3. With Distributed Caching, cache information consistent across all replicas we can use Distributed Cache stores like Redis. Jordan Bean explores how to visualize Semantic Kernel & Azure OpenAI plans using Mermaid. Jan 15, 2024 · Azure OpenAI can be used to solve a large number of natural language tasks through prompting the completion API. Assistants API. Using the function calling ability of Semantic Kernel/OpenAI is very exciting from an application development point of view. Use the azure-openai-semantic-cache-lookup policy to perform cache lookup of responses to Azure OpenAI Chat Completion API and Completion API requests from a configured external cache, based on vector proximity of the prompt to previous requests and a specified similarity score threshold. 20 when using Azure OpenAI Studio. Azure OpenAI Service provides access to OpenAI's models including the GPT-4, GPT-4 Turbo with Vision, GPT-3. Completion. Each session is active by default for one hour Feb 6, 2024 · Azure OpenAI Service is a flexible capability that when coupled with other AI Platform services can accelerate and augment any number of processes and roles across an organization. This integration makes it easy to use Sep 7, 2023 · If your application to access the Azure OpenAI service is approved, then you can create an Azure OpenAI service in your Azure subscription. This can result in a significant cost reduction for some training runs, and makes estimating fine-tuning costs much easier. Query and retrieval: The user sends a query via a user application. Press Send. Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. Azure AI Studio, use a vector index and retrieval augmentation. Learn how to switch to an OpenAI instance. Oct 12, 2023 · The `autogen. 2,000,000 token limit. Click through 'Next' until you can click Jan 17, 2023 · With Azure OpenAI Service now generally available, more businesses can apply for access to the most advanced AI models in the world—including GPT-3. Store your embeddings and perform vector (similarity) search using Azure Cosmos DB for MongoDB vCore, Azure Cosmos DB for NoSQL, Azure SQL Database or Azure Database for PostgreSQL - Flexible Server. 2. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. From the list, select the resource group that you created. You will see a text area with customization options on the right sidebar. This solution uses the Enterprise tier of Azure Cache for Redis, but any vector database can be used. Next steps The response from Azure OpenAI should be converted from text to speech and then output to the default speaker. Step 1 – Enable Managed Identity in APIM. This reduces the number of requests and tokens sent to LLM services, decreasing costs and enhancing application throughput by reducing the time taken to If you use a model other than GPT-4, you may need to revise various system prompts (especially if using weaker models like GPT-3. You can request access with this form. AZURE_OPENAI_SYSTEM_MESSAGE: The content of the system message used for OpenAI API calls. The tutorial guides you through the following steps: Setup and validate your development environment. Azure account permissions: Feb 22, 2024 · This tutorial will walk you through using the Azure OpenAI embeddings API to perform document search where you'll query a knowledge base to find the most relevant document. With semantic caching, you can return cached responses for identical prompts and also for prompts that are similar in meaning, even if the text isn't the same Feb 22, 2024 · This tutorial will walk you through using the Azure OpenAI embeddings API to perform document search where you'll query a knowledge base to find the most relevant document. NET Semantic Kernel Configuring them for Azure OpenAI endpoints. Use this if you're trying to load Jul 23, 2023 · It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo and gpt3), and vector store (Pinecone, Redis and others) or Azure cognitive search for data indexing and retrieval. Now that you have an idea of what's involved in flow developing, testing, evaluating, and deploying, learn more about the process in these tutorials: Manage compute session; Develop a Azure OpenAI Service documentation. Tip. Extras. From your Azure OpenAI resource page, under Monitoring, select Diagnostic settings on the left pane. create` API is compatible with both OpenAI and Azure OpenAI APIs, allowing for a seamless transition between different models like “text-davinci-003”, “gpt-3. PS C:\dev\openai\csharp> dotnet run Azure OpenAI is listening. Prepare your org with the Cloud Adoption Framework. Mar 14, 2024 · Azure Openai. OpenAI Python 0. This policy must have a corresponding Jun 27, 2023 · This demo shows how Azure API Management when deployed in front of one or more OpenAI instances, can handle errors gracefully, implement retry logic or even Mar 4, 2024 · Select the Bring your own data tile. Jun 12, 2024 · The content filtering system integrated in the Azure OpenAI Service contains: Neural multi-class classification models aimed at detecting and filtering harmful content; the models cover four categories (hate, sexual, violence, and self-harm) across four severity levels (safe, low, medium, and high). Because Azure Cache for Redis offers built-in vector search capability, you can also perform semantic caching. LangChain, LlamaIndex, Instructor Integration. To use OpenAI playgrounds, log in to your OpenAI account and click Playground from the top menu. Select the GetSpeakers operation. To obtain an embedding vector for a piece of text, we make a request to the embeddings endpoint as shown in the following code snippets: console. Select the API to which you added caching policies. Max file size for Assistants & fine-tuning. Apr 24, 2024 · Azure Cache for Redis can be used as a vector database by combining it models like Azure OpenAI for Retrieval-Augmented Generative AI and analysis scenarios. Step 4: DNS Response – Respond with A record of Azure Front Door distribution. py using th terminal or an IDE. May 21, 2024 · A simple RAG pattern using Azure Cosmos DB for NoSQL could be: Enroll in the Azure Cosmos DB NoSQL Vector Index preview; Setup a database and container with a container vector policy and vector index. This article is a high-level introduction to the concept of vector embeddings, vector similarity search, and how Redis can be used as a vector database powering intelligent applications. See the following resource for more information: Data source options. In this webinar, speakers Sam Partee, Principal Applied AI Engineer, Redis and Microsoft’s Kyle Teegarden, Senior Product Manager, Azure Cache for Redis will walk you through it step by step. The process involves selecting 'Deploy to' and choosing 'New Feb 24, 2024 · February 24th, 2024 3 2. 512 MB. I am playing around with the openAI API and I am trying to continue a conversation. ↑ Back to Top ↑ Jun 30, 2024 · Azure OpenAI Service gives customers advanced language AI with OpenAI GPT-4, GPT-3, Codex, DALL-E, Whisper, and text to speech models with the security and enterprise promise of Azure. First, open the Azure portal, and click on the “Create a resource” button as depicted below: Step 2. We're excited to announce the Public Preview for the Azure OpenAI Semantic Caching policy in Azure API Management! This innovative feature empowers customers to optimize token usage by leveraging semantic caching, which intelligently stores completions for prompts with similar meanings. Across the government, agencies spend Configuring them for Azure OpenAI endpoints ¶. 5-turbo and Whisper-1 usage to transcribe audio and demonstrate few Apr 10, 2024 · In this section, we will briefly look at some popular open-source frameworks that have semantic caching implemented. model=model, messages=messages, stream=True. The Azure OpenAI client library for JavaScript is an adaptation of OpenAI's REST APIs that provides an idiomatic interface and rich integration with the rest of the Azure SDK ecosystem. Apr 10, 2024 · OpenAI trained the GPT-35-Turbo and GPT-4 models to accept input formatted as a conversation. Using Azure OpenAI like a Pro to build powerful AI applications. AZURE_OPENAI_MODEL: the name of the ChatGPT model used by your Azure OpenAI resource, for example gpt-35-turbo. Recognized speech:Make a comma separated list of all continents. Follow the how-to for an Azure OpenAI example. To proceed, follow the steps below: Step 1. from litellm import completion. Deploy an OpenAI or Azure OpenAI chat model (e. Microsoft has several built-in implementations for using Azure AI Search in a RAG solution. Enable semantic caching of responses to Azure OpenAI API requests to reduce bandwidth and processing requirements imposed on the backend APIs and lower latency perceived by API consumers. Learn more! More resources regarding Azure Cache for Redis Apr 10, 2024 · Tutorial: Conduct vector similarity search on Azure OpenAI embeddings using Azure Cache for Redis - Azure Cache for Redis | Microsoft Learn; Caching Generative LLMs | Saving API Costs - Analytics Vidhya; How to cache LLM calls using Langchain. 5-turbo). C#. Response caching reduces bandwidth and processing requirements imposed on the backend Azure OpenAI API and lowers latency perceived by API consumers. RAG empowers businesses to create ChatGPT-like interactions tailored to their specific data sets. 50 per 100 program runs with this tier. Enhance productivity: Reduce time consuming tasks and free up team up to focus on higher value and more satisfying work. com 10. prompt= "write me a haiku". Use the text-embedding-ada-002 (Version 2) model to generate embeddings. Most code examples are written in Python, though the concepts can be applied in any Apr 22, 2024 · Approaches for RAG with Azure AI Search. Alternatively, in most IDEs such as Visual Studio Code, you can create an . Tool. 4. openai. 5 contoso. 5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure. Oct 13, 2023 · OpenAI Playgrounds. Input. In the Azure portal, browse to your APIM instance. Console chatbot chat_with_pdf Dec 14, 2023 · Recommendations. Azure account permissions: Dec 7, 2022 · 61. With Azure OpenAI, customers get the Dec 15, 2023 · This tutorial will guide you through a Python script designed to demonstrate the efficiency of caching when making calls to the OpenAI API. , Standard S0). The web app communicates with your Azure OpenAI resource. In the search box, type “Azure OpenAI” and press enter. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and Dec 11, 2023 · Variable name Value; ENDPOINT: This value can be found in the Keys & Endpoint section when examining your resource from the Azure portal. ad ff iw wy gf uv uz fy uc ks