Product
Socket Now Supports uv.lock Files
Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.
@devdocsai/web
Advanced tools
A web component for adding GPT-4 powered search using the DevDocs.ai API.
@devdocsai/web
A prebuilt version of the DevDocs.ai dialog, based on @devdocsai/react
, built
with Preact for bundle-size savings. Viable for use from vanilla JavaScript or
any framework.
Install the package from NPM:
npm add @devdocsai/web @devdocsai/css
Include the CSS on your page, via a link tag or by importing it in your JavaScript:
<!-- load from a CDN: -->
<link rel="stylesheet" href="https://esm.sh/@devdocsai/css@0.5.1?css" />
import '@devdocsai/css';
Call the devdocsai
function with your project key:
import { devdocsai } from '@devdocsai/web';
const devdocsaiEl = document.querySelector('#devdocsai');
devdocsai('YOUR-PROJECT-KEY', devdocsaiEl, {
references: {
getHref: (reference) => reference.file.path.replace(/\.[^.]+$/, '');
getLabel: (reference) => {
return reference.meta?.leadHeading?.value || reference.file?.title;
}
},
});
where YOUR-PROJECT-KEY
can be obtained in your project settings on
devdocs.ai.
Options are optional and allow you to configure the texts and links used in the
component to some extent. You will most likely want to pass references.getHref
and reference.getLabel
to transform your prompt references into links to your
corresponding documentation, and search.getHref
to transform search result
paths into links to your documentation.
import type {
SubmitFeedbackOptions,
SubmitPromptOptions,
SubmitSearchQueryOptions,
} from '@devdocsai/core';
interface DevDocsAIOptions {
/**
* Display format.
* @default "dialog"
**/
display?: 'plain' | 'dialog';
/**
* Enable and configure search functionality.
* @default "search"
* */
defaultView?: 'search' | 'chat' | 'prompt';
close?: {
/**
* `aria-label` for the close modal button
* @default "Close DevDocs.ai"
**/
label?: string;
/**
* Show the close button
* @default true
**/
visible?: boolean;
};
description?: {
/**
* Visually hide the description
* @default true
**/
hide?: boolean;
/**
* Description text
**/
text?: string;
};
feedback?: SubmitFeedbackOptions & {
/**
* Enable feedback functionality, shows a thumbs up/down button after a
* prompt was submitted.
* @default false
* */
enabled?: boolean;
/**
* Heading above the form
* @default "Was this response helpful?"
**/
heading?: string;
/**
* Called when feedback is submitted
* @default undefined
*/
onFeedbackSubmit?: (
feedback: PromptFeedback,
messages: ChatViewMessage[],
promptId?: string,
) => void;
};
/**
* Enable and configure chat functionality. Allows users to have a conversation with an assistant.
* Enabling chat functionality will disable prompt functionality.
*/
chat?: SubmitChatOptions & {
/**
* Show a chat-like prompt input allowing for conversation-style interaction
* rather than single question prompts.
* @default false
**/
enabled?: boolean;
/**
* Label for the chat input
* @default "Ask AI"
**/
label?: string;
/**
* Label for the tab bar
* @default "Ask AI"
**/
tabLabel?: string;
/**
* Placeholder for the chat input
* @default "Ask AI…"
**/
placeholder?: string;
/**
* Show sender info, like avatar
* @default true
**/
showSender?: boolean;
/**
* Enable chat history features
* - enable saving chat history to local storage
* - show chat history UI
* - resume chat conversations
* @default true
*/
history?: boolean;
/**
* Default (empty) view
*/
defaultView?: {
message?: string | ReactElement;
promptsHeading?: string;
prompts?: string[];
};
};
/**
* Enable and configure prompt functionality. Allows users to ask a single question to an assistant
*/
prompt?: SubmitChatOptions & {
/**
* Label for the prompt input
* @default "Ask AI"
**/
label?: string;
/**
* Label for the tab bar
* @default "Ask AI"
**/
tabLabel?: string;
/**
* Placeholder for the prompt input
* @default "Ask AI…"
**/
placeholder?: string;
/**
* Default (empty) view
*/
defaultView?: {
message?: string | ReactElement;
promptsHeading?: string;
prompts?: string[];
};
};
references?: {
/**
* Display mode for the references. References can either be
* displayed after the response or not displayed at all.
* @default 'end'
* */
display?: 'none' | 'end';
/** Callback to transform a reference into an href */
getHref?: (reference: FileSectionReference) => string | undefined;
/** Callback to transform a reference into a label */
getLabel?: (reference: FileSectionReference) => string | undefined;
/**
* Heading above the references
* @default "Answer generated from the following sources:"
**/
heading?: string;
/** Loading text, default: `Fetching relevant pages…` */
loadingText?: string;
/**
* Callback to transform a reference id into an href and text
* @deprecated Use `getHref` and `getLabel` instead
**/
transformReferenceId?: (referenceId: string) => {
href: string;
text: string;
};
};
/**
* Enable and configure search functionality
*/
search?: SubmitSearchQueryOptions & {
/**
* Enable search
* @default false
**/
enabled?: boolean;
/** Callback to transform a search result into an href */
getHref?: (
reference: SearchResult | AlgoliaDocSearchHit,
) => string | undefined;
/** Callback to transform a search result into a heading */
getHeading?: (
reference: SearchResult | AlgoliaDocSearchHit,
query: string,
) => string | undefined;
/** Callback to transform a search result into a title */
getTitle?: (
reference: SearchResult | AlgoliaDocSearchHit,
query: string,
) => string | undefined;
/** Callback to transform a search result into a subtitle */
getSubtitle?: (
reference: SearchResult | AlgoliaDocSearchHit,
query: string,
) => string | undefined;
/**
* Label for the search input, not shown but used for `aria-label`
* @default "Search docs…"
**/
label?: string;
/**
* Label for the tab bar
* @default "Search"
**/
tabLabel?: string;
/**
* Placeholder for the search input
* @default "Search docs…"
*/
placeholder?: string;
};
trigger?: {
/**
* `aria-label` for the open button
* @default "Ask AI"
**/
label?: string;
/**
* Label the open button
**/
buttonLabel?: string;
/**
* Placeholder text for non-floating element
* @default "Ask AI"
**/
placeholder?: string;
/**
* Should the trigger button be displayed as a floating button at the bottom right of the page?
* Setting this to false will display a trigger button in the element passed
* to the `devdocsai` function.
*/
floating?: boolean;
/**
* Do you use a custom element as the dialog trigger?
*/
customElement?: boolean;
/**
* Custom image icon source for the open button
*/
iconSrc?: string;
};
title?: {
/**
* Visually hide the title
* @default true
**/
hide?: boolean;
/**
* Text for the title
* @default "Ask AI"
**/
text?: string;
};
/**
* Show DevDocs.ai branding
* @default true
**/
showBranding?: boolean;
/**
* Display debug info
* @default false
**/
debug?: boolean;
}
Styles are easily overridable for customization via targeting classes. Additionally, see the styling section in our documentation for a full list of variables.
<script>
tagBesides initializing the DevDocs.ai component yourselves from JavaScript, you can load the script from a CDN. You can attach the options for the DevDocs.ai component to the window prior to loading our script:
<link rel="stylesheet" href="https://esm.sh/@devdocsai/css@0.13.x?css" />
<script>
window.devdocsai = {
projectKey: `YOUR-PROJECT-KEY`,
container: `#devdocsai`,
options: {
references: {
getHref: (reference) => reference.file?.path?.replace(/\.[^.]+$/, ''),
getLabel: (reference) => {
return reference.meta?.leadHeading?.value || reference.file?.title;
},
},
},
};
</script>
<script type="module" src="https://esm.sh/@devdocsai/web@0.16.x/init"></script>
<div id="devdocsai"></div>
devdocsai(projectKey, container, options?)
Render a DevDocs.ai dialog button.
projectKey
(string
): Your DevDocs.ai project key.container
(HTMLElement | string
): The element or selector to render
DevDocs.ai into.options
(object
): Options for customizing DevDocs.ai, see above.When rendering the DevDocs.ai component, it will render a search input-like button by default. You have two other options:
set trigger.floating = true
to render a floating button
set trigger.customElement = true
, then
import { openDevDocsAI } from '@devdocsai/react'
and call
openDevDocsAI()
from your code. This gives you the flexibility to render
your own trigger element and attach whatever event handlers you would like
and/or open the DevDocs.ai dialog programmatically.
devdocsaiOpen()
Open the DevDocs.ai dialog programmatically.
devdocsaiClose()
Close the DevDocs.ai dialog programmatically.
devdocsaiChat(projectKey, container, options?)
Render the DevDocs.ai chat view standalone, outside of a dialog.
projectKey
(string
): Your DevDocs.ai project key.container
(HTMLElement | string
): The element or selector to render
DevDocs.ai into.options
(object
): Options for customizing DevDocs.ai, see above.options.chatOptions
(DevDocsAIOptions.chat
): Enable and configure chat
functionality. Allows users to have a conversation with an assistant.
Enabling chat functionality will disable prompt functionality. See above for options.options.debug
(boolean
): Display debug infooptions.feedbackOptions
(DevDocsAIOptions.feedback
): Enable feedback
functionality, shows a thumbs up/down button after a prompt was submitted. See above for options.options.referencesOptions
(DevDocsAIOptions.references
): Enable and
configure references functionality. See above for options.The full documentation for @devdocsai/web
can be found on the
DevDocs.ai docs.
This library is created by the team behind DevDocs.ai (DevDocs.work). DevDocs.work also provides technical writing, software development, custom AI, design, and other consulting services.
FAQs
A web component for adding GPT-4 powered search using the DevDocs.ai API.
The npm package @devdocsai/web receives a total of 1 weekly downloads. As such, @devdocsai/web popularity was classified as not popular.
We found that @devdocsai/web demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.
Research
Security News
Socket researchers have discovered multiple malicious npm packages targeting Solana private keys, abusing Gmail to exfiltrate the data and drain Solana wallets.
Security News
PEP 770 proposes adding SBOM support to Python packages to improve transparency and catch hidden non-Python dependencies that security tools often miss.