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MxChat – AI Chatbot & Content Generation for WordPress / 3.2.24
MxChat – AI Chatbot & Content Generation for WordPress v3.2.24
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← All changes | includes/class-mxchat-content-generator.php +167 -35 3.2.7 → 3.2.24 View file →
@@ -731,10 +731,21 @@
731 731 */
732 732 private function plan_content($prompt, $content_type) {
733 733 $type_label = ($content_type === 'page') ? 'landing page' : 'blog post';
734 734
735 - $system_prompt = "You are a professional content strategist. The user wants to create a {$type_label}. Analyze their request and create a detailed content plan.\n\nYou MUST respond with ONLY valid JSON (no markdown, no code fences, no commentary). Use this exact structure:\n\n{\"title\": \"SEO-optimized title\", \"slug\": \"url-friendly-slug\", \"meta_description\": \"155 character meta description for SEO\", \"keywords\": [\"keyword1\", \"keyword2\", \"keyword3\", \"keyword4\", \"keyword5\"], \"links\": [{\"label\": \"Button or link text\", \"url\": \"https://example.com/page\"}], \"sections\": [{\"type\": \"hero\", \"heading\": \"Main heading\", \"subheading\": \"Supporting text\", \"needs_image\": true, \"image_prompt\": \"Detailed prompt for hero image\"}, {\"type\": \"content\", \"heading\": \"Section heading\", \"key_points\": [\"point 1\", \"point 2\"], \"needs_image\": true, \"image_prompt\": \"Detailed prompt for section image\"}, {\"type\": \"content\", \"heading\": \"Another section\", \"key_points\": [\"point 1\", \"point 2\"], \"needs_image\": false, \"image_prompt\": \"\"}, {\"type\": \"cta\", \"heading\": \"Call to action heading\", \"subheading\": \"CTA supporting text\", \"needs_image\": false, \"image_prompt\": \"\"}]}\n\nGuidelines:\n- Create 5-9 sections for blog posts, 7-11 for landing pages — add more if the user's request warrants extensive coverage\n- For landing pages, draw from sections like: hero, problem/solution, features, benefits, how-it-works, use cases, testimonials/social proof, pricing or comparison, FAQ, and final CTA — pick whichever fit the request\n- Each content section should include 3-5 substantive key_points (full descriptive sentences, not one-word labels) so the HTML generator has enough material to write meaningful copy\n- Include 2-4 sections that need images\n- Image prompts should be detailed, descriptive, and suitable for AI image generation\n- Image prompts should describe photorealistic or illustrative images relevant to the content\n- Keywords should be relevant long-tail SEO keywords\n- Title should be compelling and SEO-friendly\n- IMPORTANT: If the user specifies any URLs or links (for buttons, CTAs, navigation, etc.), you MUST capture every one of them in the \"links\" array with its label and exact URL. If no URLs are mentioned, use an empty array [].";
735 + // "Images per article" control (1–5, default 3). Drives how many sections the
736 + // planner marks needs_image:true. When image generation is off, force zero.
737 + $plan_options = get_option('mxchat_options', array());
738 + $images_enabled = ($plan_options['content_enable_images'] ?? 'on') === 'on';
739 + $image_count = max(1, min(5, (int) ($plan_options['content_image_count'] ?? 3)));
740 + if ($images_enabled) {
741 + $image_instruction = "- Select EXACTLY {$image_count} section(s) to illustrate: set \"needs_image\": true with a detailed \"image_prompt\" on exactly those {$image_count} section(s) and \"needs_image\": false with an empty \"image_prompt\" on every other section. Spread the illustrated sections across the article (favor the hero and the most visual content sections)";
742 + } else {
743 + $image_instruction = "- Set \"needs_image\": false and \"image_prompt\": \"\" on ALL sections (image generation is turned off for this site)";
744 + }
736 745
746 + $system_prompt = "You are a professional content strategist. The user wants to create a {$type_label}. Analyze their request and create a detailed content plan.\n\nYou MUST respond with ONLY valid JSON (no markdown, no code fences, no commentary). Use this exact structure:\n\n{\"title\": \"SEO-optimized title\", \"slug\": \"url-friendly-slug\", \"meta_description\": \"155 character meta description for SEO\", \"keywords\": [\"keyword1\", \"keyword2\", \"keyword3\", \"keyword4\", \"keyword5\"], \"links\": [{\"label\": \"Button or link text\", \"url\": \"https://example.com/page\"}], \"sections\": [{\"type\": \"hero\", \"heading\": \"Main heading\", \"subheading\": \"Supporting text\", \"needs_image\": true, \"image_prompt\": \"Detailed prompt for hero image\"}, {\"type\": \"content\", \"heading\": \"Section heading\", \"key_points\": [\"point 1\", \"point 2\"], \"needs_image\": true, \"image_prompt\": \"Detailed prompt for section image\"}, {\"type\": \"content\", \"heading\": \"Another section\", \"key_points\": [\"point 1\", \"point 2\"], \"needs_image\": false, \"image_prompt\": \"\"}, {\"type\": \"cta\", \"heading\": \"Call to action heading\", \"subheading\": \"CTA supporting text\", \"needs_image\": false, \"image_prompt\": \"\"}]}\n\nGuidelines:\n- Create 5-9 sections for blog posts, 7-11 for landing pages — add more if the user's request warrants extensive coverage\n- For landing pages, draw from sections like: hero, problem/solution, features, benefits, how-it-works, use cases, testimonials/social proof, pricing or comparison, FAQ, and final CTA — pick whichever fit the request\n- Each content section should include 3-5 substantive key_points (full descriptive sentences, not one-word labels) so the HTML generator has enough material to write meaningful copy\n{$image_instruction}\n- Image prompts should be detailed, descriptive, and suitable for AI image generation\n- Image prompts should describe photorealistic or illustrative images relevant to the content\n- Keywords should be relevant long-tail SEO keywords\n- Title should be compelling and SEO-friendly\n- IMPORTANT: If the user specifies any URLs or links (for buttons, CTAs, navigation, etc.), you MUST capture every one of them in the \"links\" array with its label and exact URL. If no URLs are mentioned, use an empty array [].";
747 +
737 748 $messages = array(
738 749 array('role' => 'user', 'content' => "Create a {$type_label} about: {$prompt}"),
739 750 );
740 751
@@ -788,8 +799,15 @@
788 799 );
789 800 }
790 801 }
791 802
803 + // Safety cap: never generate more than the user-configured "Images per article"
804 + // count (1–5, default 3), even if the planner over-marked needs_image sections.
805 + $image_count = max(1, min(5, (int) ($options['content_image_count'] ?? 3)));
806 + if (count($image_sections) > $image_count) {
807 + $image_sections = array_slice($image_sections, 0, $image_count);
808 + }
809 +
792 810 if (empty($image_sections)) {
793 811 return array();
794 812 }
795 813
@@ -2224,11 +2242,25 @@
2224 2242
2225 2243 /**
2226 2244 * Call the configured content model
2227 2245 */
2246 + /**
2247 + * Provider slugs (MxChat_Model_Catalog keys) that call_content_model() can
2248 + * dispatch to. MUST mirror the if/elseif chain below — the Content Model
2249 + * picker derives its provider set from this list (plan ccb751), so a
2250 + * provider added to the dispatch without updating this is never offered,
2251 + * and one added here without dispatch support would break generation.
2252 + * OpenRouter and the custom OpenAI-compatible provider are absent on
2253 + * purpose: their pseudo-model ids would fall through to the OpenAI default
2254 + * branch with the wrong key and endpoint.
2255 + */
2256 + public static function supported_content_providers() {
2257 + return array('openai', 'claude', 'gemini', 'xai', 'deepseek');
2258 + }
2259 +
2228 2260 private function call_content_model($system_prompt, $messages, $max_tokens = 4096) {
2229 2261 $options = get_option('mxchat_options', array());
2230 - $model = $options['content_model'] ?? $options['model'] ?? 'gpt-5.1-chat-latest';
2262 + $model = $options['content_model'] ?? $options['model'] ?? 'gpt-5.6-sol';
2231 2263
2232 2264 // Determine provider from model name
2233 2265 if ($this->is_claude_model($model)) {
2234 2266 return $this->call_claude($model, $options['claude_api_key'] ?? '', $system_prompt, $messages, $max_tokens);
@@ -2246,8 +2278,24 @@
2246 2278
2247 2279 /**
2248 2280 * Call OpenAI-compatible API (OpenAI, xAI, DeepSeek)
2249 2281 */
2282 + /**
2283 + * plan-mxchat-20260714-dcb71c: frozen pre-dcb71c 'content' reasoning ladder,
2284 + * used only when the core model catalog is unavailable. Byte-identical to the
2285 + * old inline if/elseif at the call site.
2286 + */
2287 + private function mxchat_cg_reasoning_effort_fallback($model) {
2288 + if (strpos($model, 'gpt-5') !== 0 && strpos($model, 'gpt-6') !== 0) return null; // gpt-6 too (plan 45c22d)
2289 + if ($model === 'gpt-5.2' || $model === 'gpt-5.1-chat-latest') return null;
2290 + if ($model === 'gpt-5.1-2025-11-13') return 'low';
2291 + if ($model === 'gpt-5.5') return 'low';
2292 + if ($model === 'gpt-5.4') return 'low';
2293 + if (in_array($model, array('gpt-6-astra', 'gpt-6-sol', 'gpt-6-luna'), true)) return 'low'; // plan 45c22d
2294 + if (in_array($model, array('gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna'), true)) return 'low';
2295 + return 'minimal';
2296 + }
2297 +
2250 2298 private function call_openai_compatible($model, $api_key, $endpoint, $system_prompt, $messages, $max_tokens) {
2251 2299 if (empty($api_key)) {
2252 2300 return new WP_Error('no_api_key', __('API key not configured for the selected content model.', 'mxchat'));
2253 2301 }
@@ -2260,11 +2308,17 @@
2260 2308 'content' => $msg['content'] ?? '',
2261 2309 );
2262 2310 }
2263 2311
2264 - // GPT-5.x models require max_completion_tokens and only support temperature=1
2265 - $is_gpt5 = strpos($model, 'gpt-5') === 0;
2266 - $token_key = $is_gpt5 ? 'max_completion_tokens' : 'max_tokens';
2312 + // GPT-5.x models require max_completion_tokens and only support temperature=1.
2313 + // Token key, temperature gate, and reasoning_effort are sourced from the
2314 + // core model catalog (plan-dcb71c); frozen fallbacks preserve exact
2315 + // pre-dcb71c behavior if the catalog class is unavailable.
2316 + $is_gpt5 = strpos($model, 'gpt-5') === 0 || strpos($model, 'gpt-6') === 0; // gpt-6 too (plan 45c22d)
2317 + $catalog = class_exists('MxChat_Model_Catalog');
2318 + $token_key = ($catalog && method_exists('MxChat_Model_Catalog', 'openai_token_param'))
2319 + ? MxChat_Model_Catalog::openai_token_param($model)
2320 + : ($is_gpt5 ? 'max_completion_tokens' : 'max_tokens');
2267 2321
2268 2322 $body = array(
2269 2323 'model' => $model,
2270 2324 'messages' => $formatted,
@@ -2271,27 +2325,30 @@
2271 2325 $token_key => $max_tokens,
2272 2326 'stream' => false,
2273 2327 );
2274 2328
2275 - if (!$is_gpt5) {
2329 + $temp_ok = ($catalog && method_exists('MxChat_Model_Catalog', 'supports_temperature'))
2330 + ? MxChat_Model_Catalog::supports_temperature($model)
2331 + : !$is_gpt5;
2332 + if ($temp_ok) {
2276 2333 $body['temperature'] = 0.7;
2277 2334 }
2278 2335
2279 - // Add reasoning_effort only for GPT-5 models that support it
2280 - // gpt-5.2 and gpt-5.1-chat-latest don't support reasoning_effort parameter
2281 - if ($is_gpt5 && $model !== 'gpt-5.2' && $model !== 'gpt-5.1-chat-latest') {
2282 - // GPT-5.1 uses 'low' instead of 'minimal'
2283 - if ($model === 'gpt-5.1-2025-11-13') {
2284 - $body['reasoning_effort'] = 'low';
2285 - } elseif ($model === 'gpt-5.5') {
2286 - $body['reasoning_effort'] = 'low';
2287 - } elseif ($model === 'gpt-5.4') {
2288 - $body['reasoning_effort'] = 'low';
2289 - } else {
2290 - $body['reasoning_effort'] = 'minimal';
2291 - }
2336 + $effort = ($catalog && method_exists('MxChat_Model_Catalog', 'reasoning_effort_for'))
2337 + ? MxChat_Model_Catalog::reasoning_effort_for($model, 'content')
2338 + : $this->mxchat_cg_reasoning_effort_fallback($model);
2339 + if ($effort !== null) {
2340 + $body['reasoning_effort'] = $effort;
2292 2341 }
2293 2342
2343 + // DeepSeek V4 defaults to thinking mode ON (temperature ignored and
2344 + // reasoning eats the token budget); generation wants the legacy
2345 + // deepseek-chat semantics = non-thinking. Endpoint-gated because this
2346 + // helper is shared with OpenAI and xAI.
2347 + if (strpos($endpoint, 'api.deepseek.com') !== false) {
2348 + $body['thinking'] = array('type' => 'disabled');
2349 + }
2350 +
2294 2351 // Scale timeout with token count — large generation calls need more time
2295 2352 $timeout = ($max_tokens > 8000) ? 300 : 120;
2296 2353
2297 2354 $response = wp_remote_post($endpoint, array(
@@ -2309,8 +2366,38 @@
2309 2366
2310 2367 $status_code = wp_remote_retrieve_response_code($response);
2311 2368 $decoded = json_decode(wp_remote_retrieve_body($response), true);
2312 2369
2370 + // plan-25b972 self-heal: supported reasoning_effort VALUES are per-model;
2371 + // a 400 rejecting the value we sent (stale catalog entry / provider
2372 + // drift) is deterministic — strip the param and retry ONCE.
2373 + if ($status_code === 400
2374 + && isset($body['reasoning_effort'])
2375 + && isset($decoded['error']['message'])
2376 + && is_string($decoded['error']['message'])
2377 + && preg_match('/Unsupported value:.*reasoning_effort/i', $decoded['error']['message'])) {
2378 + if (defined('WP_DEBUG') && WP_DEBUG) {
2379 + error_log(sprintf(
2380 + '[MxChat] content-generator: model %s rejected reasoning_effort \'%s\' — retrying once without the param (plan-25b972).',
2381 + $model, $body['reasoning_effort']
2382 + ));
2383 + }
2384 + unset($body['reasoning_effort']);
2385 + $response = wp_remote_post($endpoint, array(
2386 + 'headers' => array(
2387 + 'Authorization' => 'Bearer ' . $api_key,
2388 + 'Content-Type' => 'application/json',
2389 + ),
2390 + 'body' => wp_json_encode($body),
2391 + 'timeout' => $timeout,
2392 + ));
2393 + if (is_wp_error($response)) {
2394 + return $response;
2395 + }
2396 + $status_code = wp_remote_retrieve_response_code($response);
2397 + $decoded = json_decode(wp_remote_retrieve_body($response), true);
2398 + }
2399 +
2313 2400 if ($status_code !== 200) {
2314 2401 $error_msg = $decoded['error']['message'] ?? __('API request failed with status ', 'mxchat') . $status_code;
2315 2402 return new WP_Error('api_error', $error_msg);
2316 2403 }
@@ -2325,8 +2412,12 @@
2325 2412 /**
2326 2413 * Call Claude (Anthropic) API
2327 2414 */
2328 2415 private function call_claude($model, $api_key, $system_prompt, $messages, $max_tokens) {
2416 + // Anthropic retired claude-opus-4-20250514 / claude-sonnet-4-20250514 on 2026-06-15.
2417 + // Read-time rescue: remap a saved dead ID to the current equivalent before the API call.
2418 + if ($model === 'claude-opus-4-20250514') { $model = 'claude-opus-4-8'; }
2419 + elseif ($model === 'claude-sonnet-4-20250514') { $model = 'claude-sonnet-4-6'; }
2329 2420 if (empty($api_key)) {
2330 2421 return new WP_Error('no_api_key', __('Claude API key not configured.', 'mxchat'));
2331 2422 }
2332 2423
@@ -2346,11 +2437,25 @@
2346 2437 'model' => $model,
2347 2438 'max_tokens' => $max_tokens,
2348 2439 'temperature' => 0.7,
2349 2440 'messages' => $formatted,
2350 - 'system' => $system_prompt,
2441 + // Prompt-cache breakpoint (plan 1ff43b): generation pipelines reuse
2442 + // the same system prompt across consecutive requests within the
2443 + // 5-minute cache window. Silently no-ops below the model minimum.
2444 + 'system' => trim((string) $system_prompt) === '' ? $system_prompt : array(
2445 + array('type' => 'text', 'text' => $system_prompt, 'cache_control' => array('type' => 'ephemeral')),
2446 + ),
2351 2447 );
2352 2448
2449 + // Anthropic removed temperature on Opus 4.7+ flagships (400 if sent) —
2450 + // sourced from the core model catalog (plan-dcb71c); frozen list fallback.
2451 + $omit_temp = (class_exists('MxChat_Model_Catalog') && method_exists('MxChat_Model_Catalog', 'supports_temperature'))
2452 + ? !MxChat_Model_Catalog::supports_temperature($model)
2453 + : in_array($model, array('claude-opus-5', 'claude-opus-4-7', 'claude-opus-4-8', 'claude-fable-5', 'claude-sonnet-5'), true);
2454 + if ($omit_temp) {
2455 + unset($body['temperature']);
2456 + }
2457 +
2353 2458 $timeout = ($max_tokens > 8000) ? 300 : 120;
2354 2459
2355 2460 $response = wp_remote_post('https://api.anthropic.com/v1/messages', array(
2356 2461 'headers' => array(
@@ -2373,10 +2478,16 @@
2373 2478 $error_msg = $decoded['error']['message'] ?? __('Claude API error ', 'mxchat') . $status_code;
2374 2479 return new WP_Error('claude_error', $error_msg);
2375 2480 }
2376 2481
2377 - if (isset($decoded['content'][0]['text'])) {
2378 - return trim($decoded['content'][0]['text']);
2482 + // claude-fable-5 prepends a thinking block to content — take the
2483 + // first TEXT block, not content[0].
2484 + if (isset($decoded['content']) && is_array($decoded['content'])) {
2485 + foreach ($decoded['content'] as $block) {
2486 + if (isset($block['type'], $block['text']) && $block['type'] === 'text') {
2487 + return trim($block['text']);
2488 + }
2489 + }
2379 2490 }
2380 2491
2381 2492 return new WP_Error('unexpected_response', __('Unexpected Claude response format.', 'mxchat'));
2382 2493 }
@@ -2486,9 +2597,9 @@
2486 2597
2487 2598 $field = sanitize_text_field($_POST['field'] ?? '');
2488 2599 $value = sanitize_text_field($_POST['value'] ?? '');
2489 2600
2490 - $allowed_fields = array('content_model', 'content_image_model', 'content_image_quality', 'content_enable_images', 'content_use_placeholders', 'content_internal_linking', 'content_tool_use', 'seo_optimize_meta_desc', 'seo_optimize_seo_title', 'seo_optimize_slug', 'seo_optimize_readability', 'seo_optimize_internal_links', 'seo_optimize_img_alt', 'seo_optimize_featured_img');
2601 + $allowed_fields = array('content_model', 'content_image_model', 'content_image_quality', 'content_image_count', 'content_enable_images', 'content_use_placeholders', 'content_internal_linking', 'content_tool_use', 'seo_optimize_meta_desc', 'seo_optimize_seo_title', 'seo_optimize_slug', 'seo_optimize_readability', 'seo_optimize_internal_links', 'seo_optimize_img_alt', 'seo_optimize_featured_img');
2491 2602 if (!in_array($field, $allowed_fields, true)) {
2492 2603 wp_send_json_error(array('message' => __('Invalid field.', 'mxchat')));
2493 2604 }
2494 2605
@@ -2501,8 +2612,13 @@
2501 2612 if ($field === 'content_image_quality') {
2502 2613 $value = in_array($value, array('auto', 'low', 'medium', 'high'), true) ? $value : 'auto';
2503 2614 }
2504 2615
2616 + // Integer field: images per article (clamp 1–5)
2617 + if ($field === 'content_image_count') {
2618 + $value = (string) max(1, min(5, (int) $value));
2619 + }
2620 +
2505 2621 $options = get_option('mxchat_options', array());
2506 2622 $options[$field] = $value;
2507 2623 update_option('mxchat_options', $options);
2508 2624
@@ -3244,23 +3360,39 @@
3244 3360 array('key' => '_mxchat_seo_score', 'compare' => 'NOT EXISTS'),
3245 3361 );
3246 3362 }
3247 3363
3248 - // When sorting by a meta field, ensure meta_key is set for ordering.
3249 - // For 'all' filter, include posts without the meta key via OR clause.
3364 + // When sorting by a meta field, posts WITHOUT the key must stay in the
3365 + // list — GSC meta is no longer zero-filled for no-data posts (plan
3366 + // 282c80), and score meta never existed for unanalyzed posts. A single
3367 + // OR EXISTS/NOT-EXISTS meta_query cannot order this reliably (under an
3368 + // OR relation WP_Meta_Query leaves the orderby clause's join alias
3369 + // unconstrained by meta_key, so ORDER BY reads arbitrary meta rows).
3370 + // Instead: two id-only queries — posts WITH the key sorted by its
3371 + // value, then posts WITHOUT it appended (newest first). Missing-data
3372 + // rows deliberately sort last in BOTH directions.
3250 3373 if ($sort_meta_key) {
3251 - $args['meta_key'] = $sort_meta_key;
3252 - if ($filter === 'all') {
3253 - $args['meta_query'] = array(
3254 - 'relation' => 'OR',
3255 - array('key' => $sort_meta_key, 'compare' => 'EXISTS'),
3256 - array('key' => $sort_meta_key, 'compare' => 'NOT EXISTS'),
3257 - );
3374 + $with_args = $args;
3375 + $with_args['meta_key'] = $sort_meta_key;
3376 + $with_args['orderby'] = 'meta_value_num';
3377 + $q_with = new \WP_Query($with_args);
3378 +
3379 + $without_args = $args;
3380 + $missing_clause = array('key' => $sort_meta_key, 'compare' => 'NOT EXISTS');
3381 + if (!empty($without_args['meta_query'])) {
3382 + $without_args['meta_query'] = array('relation' => 'AND', $without_args['meta_query'], $missing_clause);
3383 + } else {
3384 + $without_args['meta_query'] = array($missing_clause);
3258 3385 }
3386 + $without_args['orderby'] = 'date';
3387 + $without_args['order'] = 'DESC';
3388 + $q_without = new \WP_Query($without_args);
3389 +
3390 + $all_ids = array_merge($q_with->posts, $q_without->posts);
3391 + } else {
3392 + $query = new \WP_Query($args);
3393 + $all_ids = $query->posts;
3259 3394 }
3260 -
3261 - $query = new \WP_Query($args);
3262 - $all_ids = $query->posts;
3263 3395 $total = count($all_ids);
3264 3396 $pages = max(1, ceil($total / $per_page));
3265 3397 $page = min($page, $pages);
3266 3398 $offset = ($page - 1) * $per_page;