WordPress 7.0 includes a built-in AI Client — a provider-agnostic PHPPHP The web scripting language in which WordPress is primarily architected. WordPress requires PHP 7.4 or higher APIAPI An API or Application Programming Interface is a software intermediary that allows programs to interact with each other and share data in limited, clearly defined ways. that lets plugins send prompts to AI models and receive results through a consistent interface. Your pluginPlugin A plugin is a piece of software containing a group of functions that can be added to a WordPress website. They can extend functionality or add new features to your WordPress websites. WordPress plugins are written in the PHP programming language and integrate seamlessly with WordPress. These can be free in the WordPress.org Plugin Directory https://wordpress.org/plugins/ or can be cost-based plugin from a third-party. describes what it needs and how it needs it. WordPress handles routing the request to a suitable model from a provider the site owner has configured.

This post explains the API surface, walks through code examples, and covers what plugin developers need to know.

The entry point: wp_ai_client_prompt()

Every interaction starts with:

$builder = wp_ai_client_prompt();

This returns a WP_AI_Client_Prompt_Builder object, a fluent builder that offers a myriad of ways to customize your prompt. You chain configuration methods and then call a generation method to receive a result:

$text = wp_ai_client_prompt( 'Summarize the benefits of caching in WordPress.' )
    ->using_temperature( 0.7 )
    ->generate_text();

You can pass the prompt text directly as a parameter to wp_ai_client_prompt() for convenience, though alternatively the with_text() method is available for building the prompt incrementally.

Text generation

Here’s a basic text generation example:

$text = wp_ai_client_prompt( 'Write a haiku about WordPress.' )
    ->generate_text();

if ( is_wp_error( $text ) ) {
    // Handle error.
    return;
}

echo wp_kses_post( $text );

You can pass a JSONJSON JSON, or JavaScript Object Notation, is a minimal, readable format for structuring data. It is used primarily to transmit data between a server and web application, as an alternative to XML. schema so that the model returns structured data as a JSON string:

$schema = array(
    'type'  => 'array',
    'items' => array(
        'type'       => 'object',
        'properties' => array(
            'plugin_name' => array( 'type' => 'string' ),
            'category'    => array( 'type' => 'string' ),
        ),
        'required' => array( 'plugin_name', 'category' ),
    ),
);

$json = wp_ai_client_prompt( 'List 5 popular WordPress plugins with their primary category.' )
    ->as_json_response( $schema )
    ->generate_text();

if ( is_wp_error( $json ) ) {
    // Handle error.
    return;
}

$data = json_decode( $json, true );

You can request multiple response candidates as variations for the same prompt:

$texts = wp_ai_client_prompt( 'Write a tagline for a photography blog.' )
    ->generate_texts( 4 );

Image generation

Here’s a basic image generation example:

use WordPress\AiClient\Files\DTO\File;

$image_file = wp_ai_client_prompt( 'A futuristic WordPress logo in neon style' )
    ->generate_image();

if ( is_wp_error( $image_file ) ) {
    // Handle error.
    return;
}

echo '<img src="' . esc_url( $image_file->getDataUri() ) . '" alt="">';

generate_image() returns a File DTO with access to the image data via getDataUri().

Similar to text generation, you can request multiple variations of the same image:

$images = wp_ai_client_prompt( 'Aerial shot of snowy plains, cinematic.' )
    ->generate_images( 4 );

if ( is_wp_error( $images ) ) {
    // Handle error.
    return;
}

foreach ( $images as $image_file ) {
    echo '<img src="' . esc_url( $image_file->getDataUri() ) . '">';
}

Getting the full result object

For richer metadata, e.g. covering provider and model information, use generate_*_result() instead. For example, for image generation:

$result = wp_ai_client_prompt( 'A serene mountain landscape.' )
    ->generate_image_result();

This returns a GenerativeAiResult object that provides several pieces of additional information, including token usage and which provider and which model responded to the prompt. The most relevant methods for this additional metadata are:

• getTokenUsage(): Returns the token usage, broken down by input, output, and optionally thinking.
• getProviderMetadata(): Returns metadata about the provider that handled the request.
• getModelMetadata(): Returns metadata about the model that handled the request (through the provider).

The GenerativeAiResult object is serializable and can be passed directly to rest_ensure_response(), making it straightforward to expose AI features through the REST APIREST API The REST API is an acronym for the RESTful Application Program Interface (API) that uses HTTP requests to GET, PUT, POST and DELETE data. It is how the front end of an application (think “phone app” or “website”) can communicate with the data store (think “database” or “file system”) https://developer.wordpress.org/rest-api/.

Available generate_*_result() methods:

• generate_text_result()
• generate_image_result()
• convert_text_to_speech_result()
• generate_speech_result()
• generate_video_result()

Use the appropriate method for the modality you are working with. Each returns a GenerativeAiResult object with rich metadata.

Model preferences

The models available on each WordPress site depends on which AI providers the administrators of that site have configured in the Settings > Connectors screen.

Since your plugin doesn’t control which providers are available on each site, use using_model_preference() to indicate which models would be ideal. The AI Client will use the first model from that list that is available, falling back to any compatible model if none are available:

$text_result = wp_ai_client_prompt( 'Summarize the history of the printing press.' )
    ->using_temperature( 0.1 )
    ->using_model_preference(
        'claude-sonnet-4-6',
        'gemini-3.1-pro-preview',
        'gpt-5.4'
    )
    ->generate_text_result();

This is a preference, not a requirement. Your plugin should function without it. Keep in mind that you can test or verify which model was used by looking at the full result object, under the providerMetadata and modelMetadata properties.

If you don’t specify a model preference, the first model encountered across the configured providers that is suitable will be used. It is up to the individual provider implementations to sort the provider’s models in a reasonable manner, e.g. so that more recent models appear before older models of the same model family. The three initial official provider plugins (see below) organize models in that way, as recommended.

Feature detection

Not every WordPress site will have an AI provider configured, and not every provider supports every capabilitycapability A capability is permission to perform one or more types of task. Checking if a user has a capability is performed by the current_user_can function. Each user of a WordPress site might have some permissions but not others, depending on their role. For example, users who have the Author role usually have permission to edit their own posts (the “edit_posts” capability), but not permission to edit other users’ posts (the “edit_others_posts” capability). and every option. Before showing AI-powered UIUI User interface, check whether the feature can work:

$builder = wp_ai_client_prompt( 'test' )
    ->using_temperature( 0.7 );

if ( $builder->is_supported_for_text_generation() ) {
    // Safe to show text generation UI.
}

These checks do not make API calls. They use deterministic logic to match the builder’s configuration against the capabilitiescapability A capability is permission to perform one or more types of task. Checking if a user has a capability is performed by the current_user_can function. Each user of a WordPress site might have some permissions but not others, depending on their role. For example, users who have the Author role usually have permission to edit their own posts (the “edit_posts” capability), but not permission to edit other users’ posts (the “edit_others_posts” capability). of available models. As such, they are fast to run and there is no cost incurred by calling them.

Available support check methods:

• is_supported_for_text_generation()
• is_supported_for_image_generation()
• is_supported_for_text_to_speech_conversion()
• is_supported_for_speech_generation()
• is_supported_for_video_generation()

Use these to conditionally load your UI, show a helpful notice when the feature is unavailable, or skip registering UI altogether. Never assume that AI features will be available just because WordPress 7.0 is installed.

Advanced configuration

System instructions

$text = wp_ai_client_prompt( 'Explain caching.' )
    ->using_system_instruction( 'You are a WordPress developer writing documentation.' )
    ->generate_text();

Max tokens

$text = wp_ai_client_prompt( 'Explain quantum computing in complicated terms.' )
    ->using_max_tokens( 8000 )
    ->generate_text();

Output file type and orientation for images

use WordPress\AiClient\Files\Enums\FileTypeEnum;
use WordPress\AiClient\Files\Enums\MediaOrientationEnum;

$result = wp_ai_client_prompt()
    ->with_text( 'A vibrant sunset over the ocean.' )
    ->as_output_file_type( FileTypeEnum::inline() )
    ->as_output_media_orientation( MediaOrientationEnum::from( 'landscape' ) )
    ->generate_image_result();

Multimodal output

use WordPress\AiClient\Messages\Enums\ModalityEnum;

$result = wp_ai_client_prompt( 'Create a recipe for a chocolate cake and include photos for the steps.' )
    ->as_output_modalities( ModalityEnum::text(), ModalityEnum::image() )
    ->generate_result();

if ( is_wp_error( $result ) ) {
    // Handle error.
    return;
}

foreach ( $result->toMessage()->getParts() as $part ) {
    if ( $part->isText() ) {
        echo wp_kses_post( $part->getText() );
    } elseif ( $part->isFile() && $part->getFile()->isImage() ) {
        echo '<img src="' . esc_url( $part->getFile()->getDataUri() ) . '">';
    }
}

Additional builder methods

The full list of configuration methods is available via the WP_AI_Client_Prompt_Builder class. Key methods include:

Configuration	Method
Prompt text	with_text()
File input	with_file()
Conversation history (relevant for multi-turn / chats)	with_history()
System instruction	using_system_instruction()
Temperature	using_temperature()
Max tokens	using_max_tokens()
Top-p / Top-k	using_top_p(), using_top_k()
Stop sequences	using_stop_sequences()
Model preference	using_model_preference()
Output modalities	as_output_modalities()
Output file type	as_output_file_type()
JSON response	as_json_response()

Error handling

wp_ai_client_prompt() generator methods return WP_Error on failure, following WordPress conventions:

$text = wp_ai_client_prompt( 'Hello' )
    ->generate_text();

if ( is_wp_error( $text ) ) {
    // Handle the error.
}

When used in a REST API callback, both GenerativeAiResult and WP_Error can be passed to rest_ensure_response() directly:

function my_rest_callback( WP_REST_Request $request ) {
    $result = wp_ai_client_prompt( $request->get_param( 'prompt' ) )
        ->generate_text_result();

    return rest_ensure_response( $result );
}

If an error occurs, it will automatically have a semantically meaningful HTTPHTTP HTTP is an acronym for Hyper Text Transfer Protocol. HTTP is the underlying protocol used by the World Wide Web and this protocol defines how messages are formatted and transmitted, and what actions Web servers and browsers should take in response to various commands. response code attached to it.

Controlling AI availability

For granular control, the wp_ai_client_prevent_prompt filterFilter Filters are one of the two types of Hooks https://codex.wordpress.org/Plugin_API/Hooks. They provide a way for functions to modify data of other functions. They are the counterpart to Actions. Unlike Actions, filters are meant to work in an isolated manner, and should never have side effects such as affecting global variables and output. allows preventing specific prompts from executing:

add_filter(
    'wp_ai_client_prevent_prompt',
    function ( bool $prevent, WP_AI_Client_Prompt_Builder $builder ): bool {
        // Example: Block all prompts for non-admin users.
        if ( ! current_user_can( 'manage_options' ) ) {
            return true;
        }
        return $prevent;
    },
    10,
    2
);

When a prompt is prevented:

• No AI call is attempted.
• is_supported_*() methods return false, allowing plugins to gracefully hide their UI.
• generate_*() methods return a WP_Error.

Architecture

The AI Client in WordPress 7.0 consists of two layers:

1. PHP AI Client (wordpress/php-ai-client) — A provider-agnostic PHP SDK bundled in CoreCore Core is the set of software required to run WordPress. The Core Development Team builds WordPress. as an external library. This is the engine that handles provider communication, model selection, and response normalization. Since it is technically a WordPress agnostic PHP SDK which other PHP projects can use too, it uses camelCase method naming and makes use of exceptions.

2. WordPress wrapper — Core’s WP_AI_Client_Prompt_Builder class wraps the PHP AI Client with WordPress conventions: snake_case methods, WP_Error returns, and integration with WordPress HTTP transport, the Abilities API, the Connectors/Settings infrastructure, and the WordPress hooksHooks In WordPress theme and development, hooks are functions that can be applied to an action or a Filter in WordPress. Actions are functions performed when a certain event occurs in WordPress. Filters allow you to modify certain functions. Arguments used to hook both filters and actions look the same. system.

The wp_ai_client_prompt() function is the recommended entry point. It returns a WP_AI_Client_Prompt_Builder instance that catches exceptions from the underlying SDK and converts them to WP_Error objects.

Credential management

API keys are managed through the Connectors API. AI provider plugins that register with the PHP AI Client’s provider registry get automatic connector integration — including the Settings > Connectors adminadmin (and super admin) UI for API key management. Plugin developers using the AI Client to build features do not need to handle credentials at all.

Official provider plugins

WordPress Core does not bundle any AI providers directly. Instead, they are developed and maintained as plugins, which allows for more flexible and rapid iteration speed, in accordance with how fast AI evolves. The AI Client in WordPress Core provides the stable foundation, and as an abstraction layer is sufficiently detached from provider specific requirements that may change overnight.

While anyone is able to implement new provider plugins, the WordPress project itself has developed three initial flagship implementations, to integrate with the most popular AI providers. These plugins are:

• AI Provider for Anthropic
• AI Provider for Google
• AI Provider for OpenAI

Separately available: Client-side JavaScriptJavaScript JavaScript or JS is an object-oriented computer programming language commonly used to create interactive effects within web browsers. WordPress makes extensive use of JS for a better user experience. While PHP is executed on the server, JS executes within a user’s browser. https://www.javascript.com API

A JavaScript API with a similar fluent prompt builder is available via the wp-ai-client package. It uses REST endpoints under the hood to connect to the server-side infrastructure. This API is not part of Core, and it is still being evaluated whether this approach is scalable for general use. Because the API allows arbitrary prompt execution from the client-side, it requires a high-privilege capability check, which by default is only granted to administrators. This restriction is necessary to prevent untrusted users from sending any prompt to any configured AI provider. As such, using this approach in a distributed plugin is not recommended.

For now, the recommended approach is to implement individual REST API endpoints for each specific AI feature your plugin provides, and have your JavaScript functionality call those endpoints. This allows you to enforce granular permission checks and limit the scope of what can be executed from the client-side. It also keeps the actual AI prompt handling and configuration fully scoped to be server-side only.

MigrationMigration Moving the code, database and media files for a website site from one server to another. Most typically done when changing hosting companies. from php-ai-client and wp-ai-client

If you have been using these packages in your plugin(s) before, here’s what to know.

Recommended: require WordPress 7.0

The simplest path is to update your plugin’s Requires at least headerHeader The header of your site is typically the first thing people will experience. The masthead or header art located across the top of your page is part of the look and feel of your website. It can influence a visitor’s opinion about your content and you/ your organization’s brand. It may also look different on different screen sizes. to 7.0 and remove the Composer dependencies on wordpress/php-ai-client and its transitive dependencies.

Replace any AI_Client::prompt() calls with wp_ai_client_prompt().

For the wordpress/wp-ai-client package, if you are not using the package’s REST API endpoints or JavaScript API, you can simply remove it as a dependency, since everything else it does is now part of WordPress Core.

If you must support WordPress < 7.0

PHP AI Client (wordpress/php-ai-client)

If your plugin still needs to run on WordPress versions before 7.0 while also bundling wordpress/php-ai-client, you will need a conditional autoloader workaround. The PHP AI Client and its dependencies are now loaded by Core on 7.0+, so loading them again via Composer will cause conflicts (duplicate class definitions).

The solution: only register your Composer autoloader for these dependencies when running on WordPress versions before 7.0:

if ( ! function_exists( 'wp_get_wp_version' ) || version_compare( wp_get_wp_version(), '7.0', '<' ) ) {
    require_once __DIR__ . '/vendor/autoload.php';
}

Due to how Composer’s autoloader works — loading all dependencies at once rather than selectively — a more granular approach was not feasible. This means the conditional check needs to wrap the entire autoloader. Alternatively, break your PHP dependencies apart in two separate Composer setups, one that can always be autoloaded, and another one for the wordpress/php-ai-client package and its dependencies only, which would be conditionally autoloaded.

WP AI Client (wordpress/wp-ai-client)

The wordpress/wp-ai-client package handles the WordPress 7.0 transition automatically. On 7.0+, it disables its own PHP SDK infrastructure (since Core handles it natively) but keeps the REST API endpoints and JavaScript API active, as those aren’t in Core yet.

You can continue loading this package unconditionally. It detects the WordPress version and only activates the parts that aren’t already provided by Core. No conditional loading needed. However, make sure to stay up to date on this package, because it will likely be discontinued soon, in favor of moving the REST API endpoints and JavaScript API into GutenbergGutenberg The Gutenberg project is the new Editor Interface for WordPress. The editor improves the process and experience of creating new content, making writing rich content much simpler. It uses ‘blocks’ to add richness rather than shortcodes, custom HTML etc. https://wordpress.org/gutenberg/. There are ongoing discussions on whether these should be merged into Core too, see #64872 and #64873.

See the WP AI Client upgrade guide for additional migration details.

Additional resources

• TracTrac An open source project by Edgewall Software that serves as a bug tracker and project management tool for WordPress. ticketticket Created for both bug reports and feature development on the bug tracker.: #64591
• PHP AI Client (bundled library)
• WP AI Client (original package, now mostly merged into Core)
• Original merge proposal

Props to @gziolo @nilambar @laurisaarni @justlevine for reviewing this post.

#core-ai, #7-0, #dev-notes, #dev-notes-7-0