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Update OpenAI and Azure OpenAI connector setup guides (#5358)
* Update OpenAI connector setup guide * Updates Azure OpenAI guide * adds serverless changes * updates verbiage * minor update * Update docs/serverless/assistant/connect-to-openai.mdx Co-authored-by: Nastasha Solomon <[email protected]> * Update docs/assistant/connect-to-openai.asciidoc Co-authored-by: Nastasha Solomon <[email protected]> * Update docs/assistant/azure-openai-setup.asciidoc Co-authored-by: Nastasha Solomon <[email protected]> * Update docs/serverless/assistant/connect-to-azure-openai.mdx Co-authored-by: Nastasha Solomon <[email protected]> --------- Co-authored-by: Nastasha Solomon <[email protected]> (cherry picked from commit ee612dc) # Conflicts: # docs/serverless/assistant/connect-to-azure-openai.mdx # docs/serverless/assistant/connect-to-openai.mdx
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--- | ||
id: serverlessSecurityConnectAzureOpenAI | ||
slug: /serverless/security/connect-to-azure-openai | ||
title: Connect to Azure OpenAI | ||
description: Set up an Azure OpenAI LLM connector. | ||
tags: ["security", "overview", "get-started"] | ||
status: in review | ||
--- | ||
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# Connect to Azure OpenAI | ||
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This page provides step-by-step instructions for setting up an Azure OpenAI connector for the first time. This connector type enables you to leverage large language models (LLMs) within ((kib)). You'll first need to configure Azure, then configure the connector in ((kib)). | ||
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## Configure Azure | ||
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### Configure a deployment | ||
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First, set up an Azure OpenAI deployment: | ||
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1. Log in to the Azure console and search for Azure OpenAI. | ||
2. In **Azure AI services**, select **Create**. | ||
3. For the **Project Details**, select your subscription and resource group. If you don't have a resource group, select **Create new** to make one. | ||
4. For **Instance Details**, select the desired region and specify a name, such as `example-deployment-openai`. | ||
5. Select the **Standard** pricing tier, then click **Next**. | ||
6. Configure your network settings, click **Next**, optionally add tags, then click **Next**. | ||
7. Review your deployment settings, then click **Create**. When complete, select **Go to resource**. | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="16qq8Rfd1O-LRJkXTwRJemjOJjxSgl44L" source="gdrive" title="Configure Azure Deployment" /> | ||
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### Configure keys | ||
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Next, create access keys for the deployment: | ||
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1. From within your Azure OpenAI deployment, select **Click here to manage keys**. | ||
2. Store your keys in a secure location. | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="1u5nf9bVCc9Jbe9A4jVk6V0c8LX6hJmM0" source="gdrive" title="Configure Azure Keys" /> | ||
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### Configure a model | ||
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Now, set up the Azure OpenAI model: | ||
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1. From within your Azure OpenAI deployment, select **Model deployments**, then click **Manage deployments**. | ||
2. On the **Deployments** page, select **Create new deployment**. | ||
3. Under **Select a model**, choose `gpt-4` or `gpt-4-32k`. | ||
4. Set the **Model version** to `0125-Preview` for `gpt-4` or `default` for `gpt-4-32k`. | ||
5. Under **Deployment type**, select **Standard**. | ||
6. Name your deployment. | ||
7. Slide the **Tokens per Minute Rate Limit** to the maximum. The following example supports 80,000 TPM, but other regions might support higher limits. | ||
8. Click **Create**. | ||
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<DocCallOut title="Important" color="warning"> | ||
The models available to you will depend on [region availability](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability). For best results, use `GPT-4o 2024-05-13` with the maximum Tokens-Per-Minute (TPM) capacity. For more information on how different models perform for different tasks, refer to the <DocLink id="llm-performance-matrix" text="LLM performance matrix"/>. | ||
</DocCallOut> | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="1cjBettKhrs2I9kVceExdZNlkHyIDXp7P" source="gdrive" title="Configure Azure Model" /> | ||
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## Configure Elastic AI Assistant | ||
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Finally, configure the connector in ((kib)): | ||
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1. Log in to ((kib)). | ||
2. Go to **Stack Management → Connectors → Create connector → OpenAI**. | ||
3. Give your connector a name to help you keep track of different models, such as `Azure OpenAI (GPT-4 Turbo v. 0125)`. | ||
4. For **Select an OpenAI provider**, choose **Azure OpenAI**. | ||
5. Update the **URL** field. We recommend doing the following: | ||
- Navigate to your deployment in Azure AI Studio and select **Open in Playground**. The **Chat playground** screen displays. | ||
- Select **View code**, then from the drop-down, change the **Sample code** to `Curl`. | ||
- Highlight and copy the URL without the quotes, then paste it into the **URL** field in ((kib)). | ||
- (Optional) Alternatively, refer to the [API documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference) to learn how to create the URL manually. | ||
6. Under **API key**, enter one of your API keys. | ||
7. Click **Save & test**, then click **Run**. | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="1T5gzfUyaV2Wu2vYhSHxU4I6yCekim51K" source="gdrive" title="Configure Elastic AI Assistant" /> |
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--- | ||
id: serverlessSecurityConnectOpenAI | ||
slug: /serverless/security/connect-to-openai | ||
title: Connect to OpenAI | ||
description: Set up an OpenAI LLM connector. | ||
tags: ["security", "overview", "get-started"] | ||
status: in review | ||
--- | ||
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# Connect to OpenAI | ||
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This page provides step-by-step instructions for setting up an OpenAI connector for the first time. This connector type enables you to leverage OpenAI's large language models (LLMs) within ((kib)). You'll first need to create an OpenAI API key, then configure the connector in ((kib)). | ||
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## Configure OpenAI | ||
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### Select a model | ||
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Before creating an API key, you must choose a model. Refer to the [OpenAI docs](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4) to select a model. Take note of the specific model name (for example `gpt-4-turbo`); you'll need it when configuring ((kib)). | ||
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<DocCallOut title="Note"> | ||
`GPT-4o` offers increased performance over previous versions. For more information on how different models perform for different tasks, refer to the <DocLink id="llm-performance-matrix" text="LLM performance matrix"/>. | ||
</DocCallOut> | ||
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### Create an API key | ||
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To generate an API key: | ||
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1. Log in to the OpenAI platform and navigate to **API keys**. | ||
2. Select **Create new secret key**. | ||
3. Name your key, select an OpenAI project, and set the desired permissions. | ||
4. Click **Create secret key** and then copy and securely store the key. It will not be accessible after you leave this screen. | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="1uRbdwAt7S0572QVNdxOBPGu7XB1xKeZx" source="gdrive" title="Create API Key" /> | ||
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## Configure the OpenAI connector | ||
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To integrate with ((kib)): | ||
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1. Log in to ((kib)). | ||
2. Navigate to **Stack Management → Connectors → Create Connector → OpenAI**. | ||
3. Provide a name for your connector, such as `OpenAI (GPT-4 Turbo Preview)`, to help keep track of the model and version you are using. | ||
4. Under **Select an OpenAI provider**, choose **OpenAI**. | ||
5. The **URL** field can be left as default. | ||
6. Under **Default model**, specify which [model](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4) you want to use. | ||
7. Paste the API key that you created into the corresponding field. | ||
8. Click **Save**. | ||
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The following video demonstrates these steps. | ||
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<DocVideo id="1KOUSe4H5gklzTM5azl9p2kniEfCI-pof" source="gdrive" title="Configure Elastic AI Assistant" /> | ||
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