This is an Azure OpenAI Chat Web Part for SharePoint Online, offering a user experience that is familiar to users of ChatGPT.
- SPFx 1.18, React
Data Privacy
Azure OpenAI is the private GDPR-compliant service developed by Microsoft and deployable to your Azure tenant. Data provided to endpoints of Azure OpenAI is kept inside the boundaries of your tenant. Data storage locations can be selected explicitly.
Native OpenAI is a public service, which provides access to its optional API by paid subscriptions. Any data provided to endpoints of Native OpenAI goes outside the boundaries of your tenant. As of December 2023, Native OpenAI is GDPR-compliant, but this may require additional agreements related to data storage locations for companies in EU.
This web part interacts with private Azure OpenAI endpoints that are published via Azure API Management service (APIM).
- By default, this setup provides enhanced data privacy. In this configuration, requests to AI do not travel outside your Azure tenant.
- APIM consistently validates the identities of SharePoint users for each individual request. If the request originates from authorized domains, APIM retrieves the api-key from the secure vault and injects it into the request before forwarding it to the AI endpoint. This process ensures that the api-key does not get exposed in the browser.
- Chats are private and visible only to their creators. Creators have the option to share their chats when this feature is enabled in the web part settings (disabled by default).
- The web part incorporates tampering prevention logic to guard against unauthorized access to another user's data by their GUID. Creators can share their chats with everyone or only with specific people in the company.
In addition to the default configuration, you have the option to publish the Native OpenAI endpoint in APIM. You can find instructions in the documentation (pages 23 and 32-35).
- CONS: Granting access to the Native OpenAI endpoint requires a separate api-key for it and could potentially compromise data privacy, as requests might travel outside your Azure tenant under this setup.
- PROS: Using the Native OpenAI endpoint could grant you access to the latest language models that are not currently available in Azure OpenAI.
In the simplest case, you can also use direct access to Azure OpenAI and Native OpenAI endpoints, configured with an api-key explicitly stored in the web part properties.
- This setup, while the least secure, can provide a quicker start. It is not recommended for production use, but it can be used for quick tests or in situations where you do not have access to Azure API Management or Azure OpenAI.
- The stored key is encrypted in the web part properties and displayed as *** in the Property Pane. However, it will travel in browser requests and can be viewed within the DEV tools > Network > Request headers.
The web part supports optional integrations with company data. For security reasons, these integrations are disabled by default and must be explicitly enabled in the web part settings.
The integrations available in this release include:
-
SharePoint Search
-
Company Users
-
Local Date and Time
-
Analysis of an uploaded PDF and summarization of its content
-
Analysis of uploaded images and description of their content
-
Version 1.1 released on Dec 11, 2023. It includes the following additional options:
-
Search on the Internet: Bing and Google (+ Reddit).
- The configuration is supported in two alternatives:
-
- Using the additional APIM-endpoints https://tenant.azure-api.net/bing and/or https://tenant.azure-api.net/google
-
- Using the direct Bing and Google endpoints with own api-key values stored in the web part settings (less secure).
-
- The configuration is supported in two alternatives:
-
Image generation from the prompt text. This option supports Dalle 3.
- The configuration is supported in three alternatives:
-
- Using the additional APIM-endpoint https://tenant.azure-api.net/openai/dalle
-
- Using the Azure OpenAI endpoint https://tenant.openai.azure.com/openai/deployments/dalle3/images/generations?api-version=2023-12-01-preview with api-key stored in the web part settings (less secure).
- The model Dalle3 is available for the deployment in Swedish Central zone (as of December 2023).
-
- Using the Native OpenAI endpoint https://api.openai.com/v1/images/generations with api-key stored in the web part settings (less secure).
-
- The configuration is supported in three alternatives:
-
The option to use voice input to prompt text is available.
-
-
Version 1.2 released on Dec 23, 2023. It includes the following additional options:
-
Data encryption for all storage types.
- SharePoint list
- Database
- Local Storage
- Seamless support of the Chat Sharing option for all storage types
-
GPT-4 Vision APIM endpoint (/openai4/vision).
-
Speech synthesis to read out AI-generated texts by default
- The standard Web Speech API requires selecting the preferred language; using default page language is not always optimal. This default option is used when Native OpenAI text-to-speech model is not available.
- Azure OpenAI does not yet have support for text-to-speech models (as of Dec 2023).
-
/tts APIM endpoint (/openainative/tts) and Native OpenAI text-to-speech model for AI-generated texts.
- In case of using Native OpenAI endpoints - direct URL or APIM-based operation - the native text-to-speech model automatically handles text that contains mixed languages.
-
-
Version 1.3 released on Sep 7, 2024. I added support for two newer language models, GPT-4o and GPT-4o Mini.
- In order to upgrade, GPT-4o APIM endpoints should be added under the existing root API OpenAI4: /openai4/chat4o and /openai4/chat4omini
- Parallel function calling, image generation and recognition are seamlessly supported for new models.
- Updated documentation with these new models.
I would like to express my deep respect and admiration for Microsoft, the creators of the groundbreaking Azure OpenAI service.
I am immensely grateful to Advania Finland for providing me with the opportunity and resources to develop this project.
This is the simplest and least secure setup. You will not be able to use the Private Chat sharing and People Search features unless you approve the corresponding SPFx permissions.
Prerequisites:
- Visual Studio Code with a development setup for building SPFx components, versions 1.16.1 - 1.18.0.
- You should have an api-key for Azure OpenAI instance, with configured endpoints for text models of GPT 3.5, and optionally, GPT 4.
- Alternatively, you should have an api-key for Native OpenAI.
-
Clone the project.
-
Open the project in Visual Studio Code and navigate to View > Terminal
-
Execute the following commands
- cd ./spfx-latest
- npm i
- gulp build
- gulp serve --nobrowser
- Alternatively, you can use fast-serve
- npm run serve
-
Create a Site Page in SharePoint Online and open it in "debug mode" using a format like:
https://yourtenant.sharepoint.com/sites/yoursite/SitePages/yourpage.aspx?debug=true&noredir=true&debugManifestsFile=https://localhost:4321/temp/manifests.js
-
Edit the page and add the Azure OpenAI Chat web part.
-
Open the web part settings and configure the minimal set of required properties as follows:
-
Client ID: create a user_impersonation app with name=openaiwp: keep the default "zero" value or leave it empty.
-
Base URL for GPT endpoint (APIM API or full): you can use the following alternatives:
-
Direct URL for the Azure OpenAI endpoint, configured for the deployment of GPT 3.5.
- For example, https://instance.openai.azure.com/openai/deployments/gpt-35-turbo-16k/chat/completions?api-version=2023-07-01-preview
- You need to have an api-key for that instance.
-
Direct URL for the Native OpenAI endpoint.
- For example, https://api.openai.com/v1/chat/completions
- You must have an active, paid OpenAI subscription and a valid api-key for it.
-
-
Base URL for GPT4 endpoint (APIM API or full): you can use the following alternatives:
-
Empty value if GPT-4 will not be used.
-
Direct URL for the Azure OpenAI endpoint, configured for the deployment of GPT 4.
- For example, https://instance.openai.azure.com/openai/deployments/gpt-4-32k/chat/completions?api-version=2023-07-01-preview
-
Direct URL for the Native OpenAI endpoint, configured as mentioned above.
-
-
Base URL for Chat WebApi (APIM API or full): keep the default empty value.
-
Optional api-key for Azure OpenAI (for troubleshooting, not for Production): add your api-key
-
The key for Azure OpenAI or Native OpenAI, depending on your choices above.
-
It will be encrypted and stored in the web part settings (and displayed as *** in the Property Pane).
-
-
Language Models: If you have different models, adjust default values in the text box accordingly.
-
Storage type for chat history: keep the default SharePoint list or select Local storage for a quick review.
-
SharePoint list URL (leave it empty for default URL): leave it empty and click the Create button if you opt to use SharePoint list storage.
-
This will create a custom list, dbChats, in the current site collection.
-
By default, the chat sharing option is disabled.
-
If you enable it using the corresponding checkbox below the field, click on the Update button to adjust the list's permissions.
-
The used list template can be found in the package.
-
Note, if you use Local storage you will be able to review sharing features. However, real sharing between users will not work with Local storage because chat history is stored locally. The maximum capacity of Local storage is limited to 10 Mb.
-
-
-
-
Save web part settings. Reload the page.
-
Test the setup by adding any text into the prompt text area, then pressing Enter or clicking the Submit button.
- The AI-response should appear in the content area below.
- Try the same steps with another language model (GPT-4).
- Click on the upward arrow in the right-hand corner. Select any PDF file - for instance, from ./docs folder - and click OK to upload it. Click on the Submit button to summarize the uploaded PDF.
This is the simplest and least secure standalone setup. You will not be able to use the Private Chat sharing and People Search features unless you approve the corresponding SPFx permissions.
Prerequisites:
- You should be a site collection administrator or hold the role of SharePoint Administrator to create a new site.
- You should have an api-key for Azure OpenAI instance, with configured endpoints for text models of GPT 3.5, and optionally, GPT 4.
- Alternatively, you should have an api-key for Native OpenAI.
-
Download the latest release package or compile it from the source code in spfx-latest.
-
Create a site collection in SharePoint Online and an App Catalog for it.
- PnP.PowerShell: Add-PnPSiteCollectionAppCatalog
- Alternatively, to simplify the process, just deploy the package into the global App Catalog of your tenant.
-
Upload the package into the App Catalog.
- Add the app Azure OpenAI Chat Web Part to the site. Please ignore the warning about the required access permissions.
-
Add a new Site Page and the web part Azure OpenAI Chat to it.
-
Open the web part settings and configure the minimal set of required properties as follows:
-
Client ID: create a user_impersonation app with name=openaiwp: keep the default "zero" value or leave it empty.
-
Base URL for GPT endpoint (APIM API or full): you can use the following alternatives:
-
Direct URL for the Azure OpenAI endpoint, configured for the deployment of GPT 3.5.
- For example, https://instance.openai.azure.com/openai/deployments/gpt-35-turbo-16k/chat/completions?api-version=2023-07-01-preview
- You need to have an api-key for that instance.
-
Direct URL for the Native OpenAI endpoint.
- For example, https://api.openai.com/v1/chat/completions
- You must have an active, paid OpenAI subscription and a valid api-key for it.
-
-
Base URL for GPT4 endpoint (APIM API or full): you can use the following alternatives:
-
Empty value if GPT-4 will not be used.
-
Direct URL for the Azure OpenAI endpoint, configured for the deployment of GPT 4.
- For example, https://instance.openai.azure.com/openai/deployments/gpt-4-32k/chat/completions?api-version=2023-07-01-preview
-
Direct URL for the Native OpenAI endpoint, configured as mentioned above.
-
-
Base URL for Chat WebApi (APIM API or full): keep the default empty value.
-
Optional api-key for Azure OpenAI (for troubleshooting, not for Production): add your api-key
-
The key for Azure OpenAI or Native OpenAI, depending on your choices above.
-
It will be encrypted and stored in the web part settings (and displayed as *** in the Property Pane).
-
-
Language Models: If you have different models, adjust default values in the text box accordingly.
-
Storage type for chat history: keep the default SharePoint list or select Local storage for a quick review.
-
SharePoint list URL (leave it empty for default URL): leave it empty and click the Create button if you opt to use SharePoint list storage.
-
This will create a custom list, dbChats, in the current site collection.
-
By default, the chat sharing option is disabled.
-
If you enable it using the corresponding checkbox below the field, click on the Update button to adjust the list's permissions.
-
The used list template can be found in the package.
-
Note, if you use Local storage you will be able to review sharing features. However, real sharing between users will not work with Local storage because chat history is stored locally. The maximum capacity of Local storage is limited to 10 Mb.
-
-
-
-
Save web part settings. Reload the page.
-
Test the setup by adding any text into the prompt text area, then pressing Enter or clicking the Submit button.
- The AI-response should appear in the content area below.
- Try the same steps with another language model (GPT-4).
- Click on the upward arrow in the right-hand corner. Select any PDF file - for instance, from ./docs folder - and click OK to upload it. Click on the Submit button to summarize the uploaded PDF.
Prerequisites:
-
You should be:
- In the role of Entra Application Administrator (Application Developer) or Global Administrator to create App registrations and approve permissions.
- A site collection administrator or hold the role of SharePoint Administrator to create a new site.
-
You should create an instance of Azure OpenAI and configure deployments for GPT 3.5, and optionally, GPT 4 text language models.
- Alternatively, if you do not have access to Azure OpenAI, you can use the Native OpenAI endpoint.
-
Optionally, you can deploy the API Management service and publish (Azure) OpenAI endpoints there.
- You should have an api-key for Azure OpenAI instance, with configured endpoints for GPT 3.5 and, optionally, GPT 4 text language models.
- Alternatively, you should have an api-key for Native OpenAI.
- For detailed instructions on configuring Azure OpenAI and APIM endpoints, please refer to the project documentation in azure-openai-chat-web-part.pdf (pages 19-41).
- You should have an api-key for Azure OpenAI instance, with configured endpoints for GPT 3.5 and, optionally, GPT 4 text language models.
-
Download the latest release package or compile it from the source code in spfx-latest.
-
Create a site collection in SharePoint Online and an App Catalog for it.
- PnP.PowerShell: Add-PnPSiteCollectionAppCatalog
-
Upload the package into the App Catalog.
- Add the app Azure OpenAI Chat Web Part to the site. Please note the warning about the required access permissions.
-
Create a new App registration called openaiwp in Microsoft Entra ID (Azure AD) using default settings.
-
This step can be skipped if you do not plan to use the API Management service to secure access to (Azure) OpenAI endpoints.
-
The app will be used to verify users in APIM. openaiwp is the default name used in web part permissions.
-
Save the App ID (Client ID). You will use it in the web part settings.
-
5. Review and approve access permissions for the uploaded SPFx package in the API access section of your SharePoint Online tenant.
-
This step can be skipped if you do not plan to use the API Management service to secure access to (Azure) OpenAI endpoints.
-
openaiwp > Azure OpenAI Chat Web Part > user_impersonation: required to verify users in APIM.
-
Microsoft Graph > People.Read and Microsoft Graph > User.Read.All: permissions needed to retrieve colleagues and other users from Azure AD.
- These permissions are necessary only if you plan to use the features of private chat sharing and people search in the web part (limited to specific Azure AD accounts).
-
Add a new Site Page and the web part Azure OpenAI Chat to it.
-
Open the web part settings and configure the minimal set of required properties as follows:
-
Client ID: create a user_impersonation app with name=openaiwp: use the saved App ID, refer to point 4 above.
- If you do not use APIM, keep the default "zero" value or empty it.
-
Base URL for GPT endpoint (APIM API or full): You have the following alternative options:
-
Preconfigured APIM URL for GPT 3.5: https://yourapiminstance.azure-api.net/openai
-
Direct URL for Azure OpenAI endpoint configured for GPT 3.5 deployment.
-
For example, https://instance.openai.azure.com/openai/deployments/gpt-35-turbo-16k/chat/completions?api-version=2023-07-01-preview
-
You need to have an api-key for that instance.
-
-
Direct URL for the native OpenAI endpoint.
-
For example, https://api.openai.com/v1/chat/completions
-
You need to have an active, paid OpenAI subscription and a valid api-key for it.
-
-
-
Base URL for GPT4 endpoint (APIM API or full): You have the following alternative options:
-
No value, implying GPT-4 will not be used.
-
Preconfigured APIM URL for GPT 3.5: https://yourapiminstance.azure-api.net/openai4
-
Direct URL for Azure OpenAI endpoint configured for GPT 4 deployment. Same as above.
- For example, https://instance.openai.azure.com/openai/deployments/gpt-4-32k/chat/completions?api-version=2023-07-01-preview
-
Direct URL for the native OpenAI endpoint. Same as above.
- For example, https://api.openai.com/v1/chat/completions
-
-
Base URL for Chat WebApi (APIM API or full): leave it empty.
-
It's not in use for the default SharePoint list storage.
-
If left empty, it defaults to https://yourapiminstance.azure-api.net/chatwebapi when Database storage is used.
-
-
Optional api-key for Azure OpenAI (for troubleshooting, not for Production): add your api-key if you don't use APIM.
-
The key is for Azure OpenAI or Native OpenAI, depending on your choices above.
-
It will be encrypted and stored in the web part settings (and displayed as *** in the Property Pane).
-
-
Language models: adjust values in the text box if you have different ones.
-
Storage type for chat history: keep the default SharePoint list.
-
SharePoint list URL (leave it empty for the default URL): leave it empty and click on the Create button.
-
It will create a custom list called dbChats in the current site collection.
-
By default, the chat sharing option is disabled.
-
The used list template can be found in the package.
-
If you enable it using the corresponding checkbox below the field, click on the Update button to adjust the list's permissions.
-
-
-
-
Save web part settings. Reload the page.
-
Test the setup by adding any text into the prompt text area, then pressing Enter or clicking the Submit button.
- The AI-response should appear in the content area below.
- Try the same steps with another language model (GPT-4).
- Click on the upward arrow in the right-hand corner. Select any PDF file - for instance, from ./docs folder - and click OK to upload it. Click on the Submit button to summarize the uploaded PDF.
Prerequisites:
- You should hold the role of an Entra Global Administrator.
- You should have the ability to create and configure Azure OpenAI service, API Management service, App Service, Azure SQL database, App registrations and permissions, as well as SharePoint Online site collections.
Please refer to the project documentation in azure-openai-chat-web-part.pdf and azure-openai-chat-security.pdf
- For detailed instructions on configuring Backend services, please refer to azure-openai-chat-web-part.pdf (pages 19-41).
- For detailed instructions on deploying the web part and configuring its settings, please refer to azure-openai-chat-web-part.pdf (pages 3-12).
- For more options regarding the security of Backend services, please refer to azure-openai-chat-security.pdf.
The reference: Don't be alarmed by vulnerabilities after running NPM Install
When working with SPFx solutions, it is important to note that npm packages are not deployed to SharePoint. Therefore, any audit warnings related to these packages can be disregarded in the context of SPFx solutions.
In addition to the standard set of modules employed by SPFx 1.18 with React base, the project includes references to the following additional libraries:
- @fluentui/react: Provided by Microsoft for building a richer UI experience.
- @microsoft/fetch-event-source: Used to implement Consecutive Event Streaming. It is used only when the web part setting Event streaming is enabled (default).
- crypto-js, @types/crypto-js: These are used to encrypt and decrypt an api-key when the user explicitly adds it to web part settings. This is not required in the default APIM-based setup.
- react-pdf: Used to extract text from uploaded PDFs. It is used only when the web part setting Enable integrations is turned on (off by default).
- react-syntax-highlighter: Adds code highlighting capabilities. It is used only when the web part setting Code highlighting is enabled (default).
- react-speech-recognition with regenerator-runtime: these libraries use Web Speech API and provides the advanced capabilities for the Voice input feature.
- prettier, fast-serve: These development tools are used exclusively in the development environment.