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<?php |
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|
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namespace WPDeveloper\BetterDocs\Core; |
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|
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if ( ! defined( 'ABSPATH' ) ) { |
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exit; |
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} |
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|
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|
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use WPDeveloper\BetterDocs\Utils\Base; |
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use WPDeveloper\BetterDocs\Core\Settings; |
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use WPDeveloper\BetterDocs\Core\PostType; |
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|
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use WPDeveloper\BetterDocs\Utils\Helper; |
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use WPDeveloper\BetterDocs\Utils\AIHelper; |
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use WPDeveloper\BetterDocs\AI\ProviderFactory; |
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use WPDeveloper\BetterDocs\AI\ModelRegistry; |
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use WPDeveloper\BetterDocs\Utils\AIUsage; |
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use WPDeveloper\BetterDocs\REST\AIEdit; |
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|
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class WriteWithAI extends Base { |
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|
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public $settings; |
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|
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public function __construct( Settings $settings ) { |
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$this->settings = $settings; |
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// Get the post ID from the URL |
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$post_id = isset( $_GET[ 'post' ] ) ? intval( $_GET[ 'post' ] ) : 0; // phpcs:ignore |
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|
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if ( ! empty( $_GET[ 'post_type' ] ) ) { // phpcs:ignore |
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$post_type = $_GET[ 'post_type' ]; // phpcs:ignore |
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} elseif ( $post_id > 0 ) { |
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$post_type = get_post_type( $post_id ); |
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} else { |
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$post_type = ''; |
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} |
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|
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if ( ! empty( $this->isEnabledWriteWithAI() ) && 'docs' == $post_type ) { |
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add_action( 'admin_enqueue_scripts', array( $this, 'enqueue_ai_edit_assets' ) ); |
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} |
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// Legacy AJAX handler kept for back-compat; the redesigned modal uses the REST route. |
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add_action( 'wp_ajax_generate_openai_content', array( $this, 'generate_openai_content_callback' ) ); |
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} |
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|
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public function enqueue_ai_edit_assets( $hook ) { |
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if ( 'post.php' !== $hook && 'post-new.php' !== $hook ) { |
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return; |
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} |
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|
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global $post_type; |
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if ( 'docs' !== $post_type ) { |
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return; |
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} |
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|
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$factory = new ProviderFactory( $this->settings ); |
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$api_key = $factory->api_key_for( $factory->active_platform() ); |
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$has_key = ! empty( $api_key ); |
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|
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// Resolve the *active* AI platform + model (multi-platform aware) so the |
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// modal reflects the current Settings → AI selection instead of the legacy |
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// OpenAI-only `write_with_ai_model` key. |
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$active_platform = $factory->active_platform(); |
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$active_model = $factory->active_model(); |
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$platform_labels = ModelRegistry::platforms(); |
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$model_labels = ModelRegistry::models( $active_platform ); |
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|
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// Glossary suggestions are existing-terms-only, and the glossaries taxonomy is only |
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// registered for Pro (see Core\PostType::register_glossaries_taxonomy). So the "Suggest |
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// glossaries" control must require, on top of the two settings, that Pro is active AND at |
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// least one glossary term exists — otherwise the modal advertises an offer that can never |
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// return anything. Mirrors the Docs-AI-suite availability check in Core\DocsAISuite. |
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$glossary_count = wp_count_terms( array( 'taxonomy' => 'glossaries', 'hide_empty' => false ) ); |
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$has_glossary_terms = ! is_wp_error( $glossary_count ) && (int) $glossary_count > 0; |
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$glossary_suggestions_enabled = (bool) $this->settings->get( 'enable_glossaries', false ) |
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&& (bool) $this->settings->get( 'show_glossary_suggestions', true ) |
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&& betterdocs()->is_pro_active() |
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&& $has_glossary_terms; |
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|
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// Write with AI — loads even without a key so the modal can show its |
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// "add an API key" banner (matches the legacy inline form behavior). |
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betterdocs()->assets->enqueue( 'betterdocs-write-with-ai', 'blocks/write-with-ai.js' ); |
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betterdocs()->assets->enqueue( 'betterdocs-write-with-ai-style', 'blocks/write-with-ai-style.css' ); |
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|
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wp_localize_script( |
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'betterdocs-write-with-ai', |
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'betterdocsWriteWithAI', |
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array( |
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'rest_url' => esc_url_raw( rest_url( 'betterdocs/v1/write-with-ai' ) ), |
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'rest_nonce' => wp_create_nonce( 'wp_rest' ), |
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'post_id' => get_the_ID(), |
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'has_key' => $has_key, |
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// Term-suggestion (Docs AI Suite) wiring reused by the Write-with-AI |
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// preview step. Endpoint + gate mirror REST\DocsAISuite / Core\DocsAISuite. |
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'rest_suggest_url' => esc_url_raw( rest_url( 'betterdocs/v1/ai-suggest-terms' ) ), |
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'suggest_terms_enabled' => (bool) $this->settings->get( 'enable_docs_ai_suite', true ), |
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// Glossary suggestions follow the glossary feature AND real availability |
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// (Pro active + at least one glossary term); see the computation above. |
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'glossary_suggestions_enabled' => $glossary_suggestions_enabled, |
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'platform' => $active_platform, |
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'platform_label' => isset( $platform_labels[ $active_platform ] ) ? $platform_labels[ $active_platform ] : ucfirst( (string) $active_platform ), |
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'model' => $active_model, |
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'model_label' => isset( $model_labels[ $active_model ] ) ? $model_labels[ $active_model ] : $active_model, |
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'max_token' => (int) $this->settings->get( 'ai_autowrite_max_token', 2500 ), |
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'settings_url' => esc_url( admin_url( 'admin.php?page=betterdocs-settings#betterdocs-ai' ) ), |
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'woo_active' => class_exists( 'WooCommerce' ), |
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'is_multilingual_active' => Helper::is_multilingual_active(), |
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'language_options' => Helper::get_active_languages(), |
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'instructions' => $this->get_instruction_choices(), |
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// From Git is a Pro feature. Pro is detected here; Git enabled/auth |
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// status is filled in by Pro via the filter below (default: off). |
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'is_pro_active' => betterdocs()->is_pro_active(), |
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'git' => apply_filters( |
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'betterdocs_write_with_ai_git', |
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array( |
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'enabled' => false, |
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'connected' => false, |
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'settings_url' => admin_url( 'admin.php?page=betterdocs-settings#git-sync' ), |
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) |
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), |
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) |
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); |
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|
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// AI Edit — only meaningful with a key configured. |
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if ( ! $has_key ) { |
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return; |
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} |
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|
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betterdocs()->assets->enqueue( 'betterdocs-ai-edit', 'blocks/ai-edit.js' ); |
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betterdocs()->assets->enqueue( 'betterdocs-ai-edit-style', 'blocks/ai-edit-style.css' ); |
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|
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wp_localize_script( |
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'betterdocs-ai-edit', |
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'betterdocsAIEdit', |
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array( |
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'rest_url' => esc_url_raw( rest_url( 'betterdocs/v1/ai-edit' ) ), |
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'rest_nonce' => wp_create_nonce( 'wp_rest' ), |
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'post_id' => get_the_ID(), |
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'instructions' => $this->get_instruction_choices(), |
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'actions' => AIEdit::get_localized_actions() |
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) |
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); |
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} |
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|
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public function isEnabledWriteWithAI() { |
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$isEnableAutoWrite = $this->settings->get( 'enable_write_with_ai', true ); |
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return $isEnableAutoWrite; |
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} |
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|
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public function isValidAPIKey( $apiKey ) { |
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if ( empty( $apiKey ) ) { |
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return array( |
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'valid' => false, |
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'message' => 'Please Insert your <a href="/admin.php?page=betterdocs-settings#betterdocs-ai">API Key</a> to use this Write with AI feature.' |
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); |
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} |
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|
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$factory = new ProviderFactory( $this->settings ); |
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return $factory->validate( $factory->active_platform(), $apiKey ); |
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} |
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|
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public function get_api_key() { |
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$factory = new ProviderFactory( $this->settings ); |
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return $factory->api_key_for( $factory->active_platform() ); |
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} |
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|
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/** |
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* The built-in "Default" instruction body. |
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* |
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* Single source of truth shared by {@see Settings::get_default()} (which seeds |
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* the editable "Default" instruction set) and {@see self::get_system_prompt()} |
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* (the fallback when no saved Default content exists). |
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* |
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* @return string |
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*/ |
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public static function default_instruction_content() { |
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return <<<'PROMPT' |
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You are a Senior Technical Writer specializing in comprehensive, high-quality documentation. Your goal is to produce documentation that scores 100/100 on clarity, completeness, and structure. |
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|
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## Output format |
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|
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Return only HTML body content. Never wrap output in `<!doctype>`, `<html>`, `<head>`, `<body>`, or markdown code fences (no ```html ... ```). |
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|
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Use semantic, Gutenberg-friendly tags only: |
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- Headings: `<h2>`, `<h3>`, `<h4>` (do not emit `<h1>` — it is reserved for the document title) |
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- Paragraphs: `<p>` for prose |
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- Lists: `<ul>`/`<ol>` with `<li>` for any list of items, steps, or bullet points — never fake a list with paragraphs or `<br>` |
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- Links: `<a href="https://...">link text</a>` with absolute URLs |
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- Inline emphasis: `<strong>`, `<em>`, `<code>` |
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- Code blocks: `<pre><code>...</code></pre>` for multi-line code or commands |
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- Quotes: `<blockquote>` |
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- Tables: `<table>` with `<thead>`, `<tbody>`, `<tr>`, `<th>`, `<td>` |
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- Images: `<img src="..." alt="...">` |
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|
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Apply `<span class="highlight">key term</span>` to important topic terms inside headings and to the first occurrence of each keyword in body text. Use it sparingly — never wrap whole sentences or wrap text inside `href`, `src`, `alt`, or other attributes. |
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|
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Do not emit `<style>`, `<script>`, `<iframe>`, `<form>`, or inline `style=""` / `class=""` attributes (other than the `highlight` class above). |
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|
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If — and only if — the user's prompt explicitly asks for raw/custom HTML, embed code, or a non-standard structure, follow that request instead of these defaults. |
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PROMPT; |
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} |
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|
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/** |
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* The saved instruction sets, normalized to a list of { id, title, content }. |
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* |
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* Stored in the `write_with_ai_instructions` setting. Always returns at least |
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* the built-in "Default" set so callers never have to special-case an empty |
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* option (e.g. a site whose stored value predates this feature). |
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* |
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* @return array<int,array{id:string,title:string,content:string}> |
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*/ |
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public function get_instructions() { |
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$stored = $this->settings->get( 'write_with_ai_instructions', array() ); |
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|
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$instructions = array(); |
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if ( is_array( $stored ) ) { |
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foreach ( $stored as $item ) { |
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if ( ! is_array( $item ) || empty( $item['id'] ) ) { |
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continue; |
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} |
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$instructions[] = array( |
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'id' => sanitize_key( (string) $item['id'] ), |
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'title' => isset( $item['title'] ) ? (string) $item['title'] : '', |
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'content' => isset( $item['content'] ) ? (string) $item['content'] : '', |
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); |
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} |
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} |
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|
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// Guarantee a Default set is always present. |
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$has_default = false; |
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foreach ( $instructions as $item ) { |
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if ( 'default' === $item['id'] ) { |
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$has_default = true; |
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break; |
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} |
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} |
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if ( ! $has_default ) { |
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array_unshift( |
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$instructions, |
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array( |
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'id' => 'default', |
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'title' => __( 'Default/Core', 'betterdocs' ), |
| 242 |
'content' => self::default_instruction_content(), |
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) |
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); |
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} |
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|
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return $instructions; |
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} |
| 249 |
|
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/** |
| 251 |
* The selectable (non-default) instruction sets exposed to the editor UI. |
| 252 |
* |
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* Only id + title are sent to the browser; the prompt body stays server-side |
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* and is resolved at request time by {@see self::get_instruction_messages()}. |
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* |
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* @return array<int,array{id:string,title:string}> |
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*/ |
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public function get_instruction_choices() { |
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$choices = array(); |
| 260 |
foreach ( $this->get_instructions() as $item ) { |
| 261 |
if ( 'default' === $item['id'] ) { |
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continue; |
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} |
| 264 |
if ( '' === trim( $item['content'] ) ) { |
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continue; // skip empty sets — they'd inject nothing. |
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} |
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$choices[] = array( |
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'id' => $item['id'], |
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'title' => '' !== trim( $item['title'] ) ? $item['title'] : $item['id'], |
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); |
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} |
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return $choices; |
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} |
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|
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/** |
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* Resolve selected instruction ids into extra `system` messages. |
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* |
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* The "Default" set is intentionally excluded — it is always sent as the base |
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* system prompt by {@see self::get_system_prompt()}. Unknown or empty ids are |
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* silently ignored. Output order follows the requested $ids order. |
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* |
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* @param array $ids |
| 283 |
* @return array<int,array{role:string,content:string}> |
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*/ |
| 285 |
public function get_instruction_messages( $ids ) { |
| 286 |
if ( empty( $ids ) || ! is_array( $ids ) ) { |
| 287 |
return array(); |
| 288 |
} |
| 289 |
|
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$by_id = array(); |
| 291 |
foreach ( $this->get_instructions() as $item ) { |
| 292 |
$by_id[ $item['id'] ] = $item; |
| 293 |
} |
| 294 |
|
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$messages = array(); |
| 296 |
$seen = array(); |
| 297 |
foreach ( $ids as $id ) { |
| 298 |
$id = sanitize_key( (string) $id ); |
| 299 |
if ( 'default' === $id || isset( $seen[ $id ] ) || ! isset( $by_id[ $id ] ) ) { |
| 300 |
continue; |
| 301 |
} |
| 302 |
$content = trim( $by_id[ $id ]['content'] ); |
| 303 |
if ( '' === $content ) { |
| 304 |
continue; |
| 305 |
} |
| 306 |
$seen[ $id ] = true; |
| 307 |
$messages[] = array( |
| 308 |
'role' => 'system', |
| 309 |
'content' => $content, |
| 310 |
); |
| 311 |
} |
| 312 |
|
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return $messages; |
| 314 |
} |
| 315 |
|
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/** |
| 317 |
* Coerce a list of extra messages into well-formed `system` chat messages. |
| 318 |
* |
| 319 |
* Accepts either pre-built [ 'role'=>'system', 'content'=>… ] entries (as |
| 320 |
* returned by {@see self::get_instruction_messages()}) or bare strings, and |
| 321 |
* drops anything empty. Keeps the OpenAI payload builders tolerant of either |
| 322 |
* shape so callers can pass instruction ids or ready-made messages. |
| 323 |
* |
| 324 |
* @param array $extra_system |
| 325 |
* @return array<int,array{role:string,content:string}> |
| 326 |
*/ |
| 327 |
protected function normalize_extra_system( $extra_system ) { |
| 328 |
if ( empty( $extra_system ) || ! is_array( $extra_system ) ) { |
| 329 |
return array(); |
| 330 |
} |
| 331 |
|
| 332 |
$messages = array(); |
| 333 |
foreach ( $extra_system as $entry ) { |
| 334 |
if ( is_string( $entry ) ) { |
| 335 |
$content = trim( $entry ); |
| 336 |
$role = 'system'; |
| 337 |
} elseif ( is_array( $entry ) && isset( $entry['content'] ) ) { |
| 338 |
$content = trim( (string) $entry['content'] ); |
| 339 |
$role = isset( $entry['role'] ) ? (string) $entry['role'] : 'system'; |
| 340 |
} else { |
| 341 |
continue; |
| 342 |
} |
| 343 |
|
| 344 |
if ( '' === $content ) { |
| 345 |
continue; |
| 346 |
} |
| 347 |
|
| 348 |
$messages[] = array( |
| 349 |
'role' => $role, |
| 350 |
'content' => $content, |
| 351 |
); |
| 352 |
} |
| 353 |
|
| 354 |
return $messages; |
| 355 |
} |
| 356 |
|
| 357 |
public function get_system_prompt() { |
| 358 |
// Prefer the saved (editable) "Default" instruction set; fall back to the |
| 359 |
// built-in body when it's missing or has been cleared. |
| 360 |
$prompt = self::default_instruction_content(); |
| 361 |
foreach ( $this->get_instructions() as $item ) { |
| 362 |
if ( 'default' === $item['id'] && '' !== trim( $item['content'] ) ) { |
| 363 |
$prompt = $item['content']; |
| 364 |
break; |
| 365 |
} |
| 366 |
} |
| 367 |
|
| 368 |
return apply_filters( 'betterdocs_write_with_ai_system_prompt', $prompt ); |
| 369 |
} |
| 370 |
|
| 371 |
/** |
| 372 |
* Build the system + user messages and chat options shared by the |
| 373 |
* Write-with-AI generator and the in-editor AI-Edit endpoint. Routes through |
| 374 |
* the active AI platform (ProviderFactory), so it works for every provider. |
| 375 |
* |
| 376 |
* @param string $prompt |
| 377 |
* @param int|null $max_tokens Optional cap override (e.g. a "large" doc). |
| 378 |
* @param array $extra_system Optional extra system messages. |
| 379 |
* @return array array( array $messages, array $options ) |
| 380 |
*/ |
| 381 |
private function ai_request_args( $prompt, $max_tokens = null, $extra_system = array() ) { |
| 382 |
$messages = array_merge( |
| 383 |
array( array( 'role' => 'system', 'content' => $this->get_system_prompt() ) ), |
| 384 |
$this->normalize_extra_system( $extra_system ), |
| 385 |
array( array( 'role' => 'user', 'content' => $prompt ) ) |
| 386 |
); |
| 387 |
|
| 388 |
return array( $messages, $this->ai_chat_options( $max_tokens ) ); |
| 389 |
} |
| 390 |
|
| 391 |
/** |
| 392 |
* Assemble the chat options passed to the active provider. Document |
| 393 |
* generation is long-running on every platform: reasoning models (gpt-5*) |
| 394 |
* and larger non-OpenAI models (e.g. Claude Opus) routinely need well over |
| 395 |
* the old 50s default to return a full doc, which timed them out mid- |
| 396 |
* generation. Give every request a generous ceiling; fast models simply |
| 397 |
* finish early and are unaffected. |
| 398 |
* |
| 399 |
* @param int|null $max_tokens Optional token cap override. |
| 400 |
* @param float|null $temperature Optional sampling temperature. |
| 401 |
* @return array |
| 402 |
*/ |
| 403 |
private function ai_chat_options( $max_tokens = null, $temperature = null ) { |
| 404 |
$timeout = 300; |
| 405 |
if ( function_exists( 'set_time_limit' ) ) { |
| 406 |
set_time_limit( 300 ); |
| 407 |
} |
| 408 |
|
| 409 |
$options = array( |
| 410 |
'max_tokens' => null !== $max_tokens ? (int) $max_tokens : (int) $this->settings->get( 'ai_autowrite_max_token', 2500 ), |
| 411 |
'context' => 'write_with_ai', |
| 412 |
'timeout' => $timeout, |
| 413 |
); |
| 414 |
|
| 415 |
if ( null !== $temperature ) { |
| 416 |
$options['temperature'] = $temperature; |
| 417 |
} |
| 418 |
|
| 419 |
return $options; |
| 420 |
} |
| 421 |
|
| 422 |
public function generate_openai_response( $prompt, $keywords, $max_tokens = null, $extra_system = array() ) { |
| 423 |
try { |
| 424 |
list( $messages, $options ) = $this->ai_request_args( $prompt, $max_tokens, $extra_system ); |
| 425 |
|
| 426 |
$result = ( new ProviderFactory( $this->settings ) )->make()->chat( $messages, $options ); |
| 427 |
|
| 428 |
if ( is_wp_error( $result ) ) { |
| 429 |
return $result->get_error_message(); |
| 430 |
} |
| 431 |
|
| 432 |
return $result['content']; |
| 433 |
} catch ( \Exception $error ) { |
| 434 |
return 'Error: ' . $error->getMessage(); |
| 435 |
} |
| 436 |
} |
| 437 |
|
| 438 |
/** |
| 439 |
* Generate documentation from an uploaded image using a vision-capable model. |
| 440 |
* |
| 441 |
* Mirrors generate_openai_response() but sends the picture alongside the text |
| 442 |
* prompt as an OpenAI-format multimodal user message |
| 443 |
* (`content: [ {type:text}, {type:image_url} ]`). The OpenAI-compatible |
| 444 |
* provider forwards that message array to the wire verbatim, so no provider |
| 445 |
* change is needed. Only OpenAI vision models are wired — Claude and Gemini |
| 446 |
* use a different image envelope, so they are refused with a clear error |
| 447 |
* instead of being sent a payload they would reject. |
| 448 |
* |
| 449 |
* @param string $prompt Composed instruction prompt. |
| 450 |
* @param array $image { data_uri:string, mime:string }. |
| 451 |
* @param int|null $max_tokens Optional token cap. |
| 452 |
* @param array $extra_system Extra system messages (instruction sets). |
| 453 |
* @return string|\WP_Error Generated content, or WP_Error on guard/failure. |
| 454 |
*/ |
| 455 |
public function generate_vision_response( $prompt, $image, $max_tokens = null, $extra_system = array() ) { |
| 456 |
if ( empty( $image['data_uri'] ) ) { |
| 457 |
return new \WP_Error( 'ai_vision_no_image', __( 'No image data to send to the AI.', 'betterdocs' ) ); |
| 458 |
} |
| 459 |
|
| 460 |
$factory = new ProviderFactory( $this->settings ); |
| 461 |
$platform = $factory->active_platform(); |
| 462 |
$model = $factory->active_model( $platform ); |
| 463 |
|
| 464 |
if ( ! $this->platform_supports_vision( $platform, $model ) ) { |
| 465 |
return new \WP_Error( |
| 466 |
'ai_no_vision', |
| 467 |
sprintf( |
| 468 |
/* translators: 1: AI platform id, 2: model name. */ |
| 469 |
__( 'The configured AI model (%1$s / %2$s) can\'t read images. Switch to an OpenAI vision model such as GPT-4o or GPT-4o mini in BetterDocs → Settings → AI Content Suite, or upload a PDF/DOCX/TXT instead.', 'betterdocs' ), |
| 470 |
$platform, |
| 471 |
'' !== (string) $model ? $model : 'default' |
| 472 |
) |
| 473 |
); |
| 474 |
} |
| 475 |
|
| 476 |
try { |
| 477 |
$messages = array_merge( |
| 478 |
array( array( 'role' => 'system', 'content' => $this->get_system_prompt() ) ), |
| 479 |
$this->normalize_extra_system( $extra_system ), |
| 480 |
array( |
| 481 |
array( |
| 482 |
'role' => 'user', |
| 483 |
'content' => array( |
| 484 |
array( 'type' => 'text', 'text' => (string) $prompt ), |
| 485 |
array( 'type' => 'image_url', 'image_url' => array( 'url' => (string) $image['data_uri'] ) ), |
| 486 |
), |
| 487 |
), |
| 488 |
) |
| 489 |
); |
| 490 |
|
| 491 |
$result = $factory->make()->chat( $messages, $this->ai_chat_options( $max_tokens ) ); |
| 492 |
|
| 493 |
if ( is_wp_error( $result ) ) { |
| 494 |
return $result; |
| 495 |
} |
| 496 |
|
| 497 |
return $result['content']; |
| 498 |
} catch ( \Exception $error ) { |
| 499 |
return new \WP_Error( 'ai_vision_failed', 'Error: ' . $error->getMessage() ); |
| 500 |
} |
| 501 |
} |
| 502 |
|
| 503 |
/** |
| 504 |
* Whether the active platform + model can accept image input in the OpenAI |
| 505 |
* multimodal format. Deliberately conservative: only OpenAI vision model |
| 506 |
* families qualify, because Claude and Gemini require a different image |
| 507 |
* envelope this path does not build. gpt-3.5 (text-only) is excluded. |
| 508 |
* |
| 509 |
* @param string $platform |
| 510 |
* @param string $model |
| 511 |
* @return bool |
| 512 |
*/ |
| 513 |
protected function platform_supports_vision( $platform, $model ) { |
| 514 |
if ( 'openai' !== $platform ) { |
| 515 |
return false; |
| 516 |
} |
| 517 |
|
| 518 |
$model = strtolower( (string) $model ); |
| 519 |
|
| 520 |
if ( '' === $model || false !== strpos( $model, 'gpt-3.5' ) ) { |
| 521 |
return false; |
| 522 |
} |
| 523 |
|
| 524 |
foreach ( array( 'gpt-4o', 'gpt-4.1', 'gpt-4-turbo', 'gpt-4-vision', 'chatgpt-4o', 'gpt-5', 'o1', 'o3', 'o4' ) as $family ) { |
| 525 |
if ( false !== strpos( $model, $family ) ) { |
| 526 |
return true; |
| 527 |
} |
| 528 |
} |
| 529 |
|
| 530 |
return false; |
| 531 |
} |
| 532 |
|
| 533 |
public function get_outline_system_prompt() { |
| 534 |
$prompt = <<<'PROMPT' |
| 535 |
You are a Senior Technical Writer. Produce a documentation OUTLINE only — not the full article. |
| 536 |
|
| 537 |
Return ONLY a JSON array (no prose, no markdown, no code fences). Each element is an object: |
| 538 |
{ "level": "h2" | "h3", "text": "Section heading" } |
| 539 |
|
| 540 |
Rules: |
| 541 |
- 5 to 9 top-level "h2" sections that comprehensively cover the topic. |
| 542 |
- Add "h3" sub-sections only where they genuinely help; keep each one directly after its parent h2. |
| 543 |
- Headings are concise, descriptive, and free of numbering. |
| 544 |
- Do not include an h1/title and do not include any text outside the JSON array. |
| 545 |
PROMPT; |
| 546 |
|
| 547 |
return apply_filters( 'betterdocs_write_with_ai_outline_system_prompt', $prompt ); |
| 548 |
} |
| 549 |
|
| 550 |
/** |
| 551 |
* Generate a documentation outline as a structured array of sections. |
| 552 |
* |
| 553 |
* @param string $user_prompt The composed prompt (title/keywords/instructions). |
| 554 |
* @return array { success:bool, outline?:array<int,array{level:string,text:string}>, error?:string } |
| 555 |
*/ |
| 556 |
public function generate_outline_response( $user_prompt, $extra_system = array() ) { |
| 557 |
$result = $this->generate_text( $user_prompt, $this->get_outline_system_prompt(), $extra_system ); |
| 558 |
|
| 559 |
if ( empty( $result['success'] ) ) { |
| 560 |
return array( |
| 561 |
'success' => false, |
| 562 |
'error' => isset( $result['error'] ) ? $result['error'] : 'AI error', |
| 563 |
); |
| 564 |
} |
| 565 |
|
| 566 |
$outline = $this->parse_outline( (string) $result['content'] ); |
| 567 |
|
| 568 |
if ( empty( $outline ) ) { |
| 569 |
return array( |
| 570 |
'success' => false, |
| 571 |
'error' => 'The AI returned an outline we could not read. Please try again.', |
| 572 |
); |
| 573 |
} |
| 574 |
|
| 575 |
return array( |
| 576 |
'success' => true, |
| 577 |
'outline' => $outline, |
| 578 |
); |
| 579 |
} |
| 580 |
|
| 581 |
/** |
| 582 |
* Parse a model outline response (ideally a JSON array) into a clean list of |
| 583 |
* { level, text } sections. Tolerates code fences and stray prose. |
| 584 |
* |
| 585 |
* @param string $content |
| 586 |
* @return array<int,array{level:string,text:string}> |
| 587 |
*/ |
| 588 |
protected function parse_outline( $content ) { |
| 589 |
$content = trim( $content ); |
| 590 |
$content = preg_replace( '/^```(?:json)?\s*/i', '', $content ); |
| 591 |
$content = preg_replace( '/```\s*$/', '', $content ); |
| 592 |
|
| 593 |
// Grab the first JSON array if the model wrapped it in prose. |
| 594 |
if ( preg_match( '/\[[\s\S]*\]/', $content, $m ) ) { |
| 595 |
$content = $m[0]; |
| 596 |
} |
| 597 |
|
| 598 |
$decoded = json_decode( $content, true ); |
| 599 |
if ( ! is_array( $decoded ) ) { |
| 600 |
return array(); |
| 601 |
} |
| 602 |
|
| 603 |
$outline = array(); |
| 604 |
foreach ( $decoded as $item ) { |
| 605 |
if ( ! is_array( $item ) || empty( $item['text'] ) ) { |
| 606 |
continue; |
| 607 |
} |
| 608 |
$level = isset( $item['level'] ) && 'h3' === strtolower( (string) $item['level'] ) ? 'h3' : 'h2'; |
| 609 |
$text = sanitize_text_field( (string) $item['text'] ); |
| 610 |
if ( '' === $text ) { |
| 611 |
continue; |
| 612 |
} |
| 613 |
$outline[] = array( 'level' => $level, 'text' => $text ); |
| 614 |
} |
| 615 |
|
| 616 |
return $outline; |
| 617 |
} |
| 618 |
|
| 619 |
public function generate_openai_response_ai_edit( $prompt, $extra_system = array() ) { |
| 620 |
$factory = new ProviderFactory( $this->settings ); |
| 621 |
$model = $factory->active_model(); |
| 622 |
|
| 623 |
$messages = array_merge( |
| 624 |
array( array( 'role' => 'system', 'content' => $this->get_system_prompt() ) ), |
| 625 |
$this->normalize_extra_system( $extra_system ), |
| 626 |
array( array( 'role' => 'user', 'content' => $prompt ) ) |
| 627 |
); |
| 628 |
|
| 629 |
$result = $factory->make()->chat( $messages, $this->ai_chat_options() ); |
| 630 |
|
| 631 |
if ( is_wp_error( $result ) ) { |
| 632 |
return array( |
| 633 |
'success' => false, |
| 634 |
'error' => $result->get_error_message(), |
| 635 |
'model' => $model |
| 636 |
); |
| 637 |
} |
| 638 |
|
| 639 |
$usage = isset( $result['usage'] ) && is_array( $result['usage'] ) ? $result['usage'] : array(); |
| 640 |
|
| 641 |
return array( |
| 642 |
'success' => true, |
| 643 |
'content' => $result['content'], |
| 644 |
'model' => isset( $result['model'] ) ? $result['model'] : $model, |
| 645 |
'prompt_tokens' => isset( $usage['prompt_tokens'] ) ? $usage['prompt_tokens'] : null, |
| 646 |
'completion_tokens' => isset( $usage['completion_tokens'] ) ? $usage['completion_tokens'] : null, |
| 647 |
'total_tokens' => isset( $usage['total_tokens'] ) ? $usage['total_tokens'] : null, |
| 648 |
'finish_reason' => isset( $result['finish_reason'] ) ? $result['finish_reason'] : null |
| 649 |
); |
| 650 |
} |
| 651 |
|
| 652 |
/** |
| 653 |
* Generic chat completion using the active Write-with-AI platform/model/token |
| 654 |
* settings. Shared by lightweight, plain-text generators (glossary definitions, |
| 655 |
* FAQ answers, outlines) that need the same dynamic model as Write with AI / |
| 656 |
* AI Edit but a caller-supplied system prompt instead of the doc-authoring HTML |
| 657 |
* prompt. Routes through ProviderFactory so every provider is supported. |
| 658 |
* |
| 659 |
* @param string $user_prompt The user message. |
| 660 |
* @param string $system_prompt Optional system message (omitted when empty). |
| 661 |
* @param array $extra_system Optional extra system messages. |
| 662 |
* @return array { success:bool, content?:string, error?:string, model:string, *_tokens?:int } |
| 663 |
*/ |
| 664 |
public function generate_text( $user_prompt, $system_prompt = '', $extra_system = array() ) { |
| 665 |
$factory = new ProviderFactory( $this->settings ); |
| 666 |
$model = $factory->active_model(); |
| 667 |
|
| 668 |
$messages = array(); |
| 669 |
if ( $system_prompt !== '' ) { |
| 670 |
$messages[] = array( 'role' => 'system', 'content' => $system_prompt ); |
| 671 |
} |
| 672 |
foreach ( $this->normalize_extra_system( $extra_system ) as $extra ) { |
| 673 |
$messages[] = $extra; |
| 674 |
} |
| 675 |
$messages[] = array( 'role' => 'user', 'content' => $user_prompt ); |
| 676 |
|
| 677 |
$result = $factory->make()->chat( $messages, $this->ai_chat_options() ); |
| 678 |
|
| 679 |
if ( is_wp_error( $result ) ) { |
| 680 |
return array( |
| 681 |
'success' => false, |
| 682 |
'error' => $result->get_error_message(), |
| 683 |
'model' => $model |
| 684 |
); |
| 685 |
} |
| 686 |
|
| 687 |
$usage = isset( $result['usage'] ) && is_array( $result['usage'] ) ? $result['usage'] : array(); |
| 688 |
|
| 689 |
return array( |
| 690 |
'success' => true, |
| 691 |
'content' => $result['content'], |
| 692 |
'model' => isset( $result['model'] ) ? $result['model'] : $model, |
| 693 |
'prompt_tokens' => isset( $usage['prompt_tokens'] ) ? $usage['prompt_tokens'] : null, |
| 694 |
'completion_tokens' => isset( $usage['completion_tokens'] ) ? $usage['completion_tokens'] : null, |
| 695 |
'total_tokens' => isset( $usage['total_tokens'] ) ? $usage['total_tokens'] : null, |
| 696 |
'finish_reason' => isset( $result['finish_reason'] ) ? $result['finish_reason'] : null |
| 697 |
); |
| 698 |
} |
| 699 |
|
| 700 |
/** |
| 701 |
* Generate a chat completion with a caller-supplied system + user prompt. |
| 702 |
* Mirrors generate_openai_response_ai_edit() (same model/token floor/timeout |
| 703 |
* handling and return shape) but does NOT force the documentation-writer |
| 704 |
* system prompt, so callers such as the Docs AI Suite (taxonomy suggestions, |
| 705 |
* excerpts) can supply task-appropriate instructions. Routes through the active |
| 706 |
* provider via ProviderFactory. |
| 707 |
* |
| 708 |
* @param string $system_prompt System instruction for the model. |
| 709 |
* @param string $user_prompt User message / content payload. |
| 710 |
* @param float|null $temperature Optional sampling temperature (ignored for gpt-5*). |
| 711 |
* @return array{success:bool,content?:string,error?:string,model:string,...} |
| 712 |
*/ |
| 713 |
public function generate_openai_response_raw( $system_prompt, $user_prompt, $temperature = null ) { |
| 714 |
$factory = new ProviderFactory( $this->settings ); |
| 715 |
$model = $factory->active_model(); |
| 716 |
|
| 717 |
$messages = array( |
| 718 |
array( 'role' => 'system', 'content' => $system_prompt ), |
| 719 |
array( 'role' => 'user', 'content' => $user_prompt ) |
| 720 |
); |
| 721 |
|
| 722 |
$result = $factory->make()->chat( $messages, $this->ai_chat_options( null, $temperature ) ); |
| 723 |
|
| 724 |
if ( is_wp_error( $result ) ) { |
| 725 |
return array( |
| 726 |
'success' => false, |
| 727 |
'error' => $result->get_error_message(), |
| 728 |
'model' => $model |
| 729 |
); |
| 730 |
} |
| 731 |
|
| 732 |
$usage = isset( $result['usage'] ) && is_array( $result['usage'] ) ? $result['usage'] : array(); |
| 733 |
|
| 734 |
return array( |
| 735 |
'success' => true, |
| 736 |
'content' => $result['content'], |
| 737 |
'model' => isset( $result['model'] ) ? $result['model'] : $model, |
| 738 |
'prompt_tokens' => isset( $usage['prompt_tokens'] ) ? $usage['prompt_tokens'] : null, |
| 739 |
'completion_tokens' => isset( $usage['completion_tokens'] ) ? $usage['completion_tokens'] : null, |
| 740 |
'total_tokens' => isset( $usage['total_tokens'] ) ? $usage['total_tokens'] : null, |
| 741 |
'finish_reason' => isset( $result['finish_reason'] ) ? $result['finish_reason'] : null |
| 742 |
); |
| 743 |
} |
| 744 |
|
| 745 |
public function generate_openai_content_callback() { |
| 746 |
// Verify the nonce |
| 747 |
$ai_nonce = isset( $_POST['ai_nonce'] ) ? sanitize_text_field( wp_unslash( $_POST['ai_nonce'] ) ) : ''; |
| 748 |
if ( ! wp_verify_nonce( $ai_nonce, 'generate_openai_content_nonce' ) ) { |
| 749 |
wp_send_json_error( 'Invalid nonce' ); |
| 750 |
wp_die(); |
| 751 |
} |
| 752 |
|
| 753 |
if ( ! current_user_can( 'edit_posts' ) ) { |
| 754 |
wp_send_json_error( 'Insufficient permissions' ); |
| 755 |
wp_die(); |
| 756 |
} |
| 757 |
|
| 758 |
$prompt = isset( $_POST['prompt'] ) ? sanitize_text_field( wp_unslash( $_POST['prompt'] ) ) : ''; |
| 759 |
$keywords = isset( $_POST['keywords'] ) ? sanitize_text_field( wp_unslash( $_POST['keywords'] ) ) : ''; |
| 760 |
|
| 761 |
$ai_instance = new WriteWithAI( $this->settings ); |
| 762 |
|
| 763 |
$generated_content = $ai_instance->generate_openai_response( $prompt, $keywords ); |
| 764 |
|
| 765 |
// Count a successful generation (skip obvious upstream errors). |
| 766 |
if ( is_string( $generated_content ) && $generated_content !== '' && strpos( $generated_content, 'Error:' ) !== 0 ) { |
| 767 |
$post_id = isset( $_POST[ 'post_id' ] ) ? intval( $_POST[ 'post_id' ] ) : 0; //phpcs:ignore |
| 768 |
AIUsage::record( 'write_with_ai', $post_id ); |
| 769 |
} |
| 770 |
|
| 771 |
// Send the generated content as the AJAX response |
| 772 |
wp_send_json_success( $generated_content ); |
| 773 |
wp_die(); |
| 774 |
} |
| 775 |
} |
| 776 |
|
