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MxChat – AI Chatbot & Content Generation for WordPress / 3.2.2
MxChat – AI Chatbot & Content Generation for WordPress v3.2.2
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← All changes | includes/class-mxchat-utils.php +2 -75 3.2.73.2.2 View file →
@@ -5,51 +5,8 @@
5 5
6 6 class MxChat_Utils {
7 7
8 8 /**
9 - * Centralized embedding model registry. Single source of truth for dimensions
10 - * and provider, so model-switch protection logic doesn't drift across files.
11 - */
12 -public static function embedding_model_registry() {
13 - return array(
14 - 'text-embedding-ada-002' => array('dims' => 1536, 'provider' => 'openai', 'label' => 'Ada 2'),
15 - 'text-embedding-3-small' => array('dims' => 1536, 'provider' => 'openai', 'label' => 'TE3 Small'),
16 - 'text-embedding-3-large' => array('dims' => 3072, 'provider' => 'openai', 'label' => 'TE3 Large'),
17 - 'voyage-3-large' => array('dims' => 2048, 'provider' => 'voyage', 'label' => 'Voyage-3 Large'),
18 - 'gemini-embedding-001' => array('dims' => 1536, 'provider' => 'gemini', 'label' => 'Gemini Embedding'),
19 - );
20 -}
21 -
22 -public static function embedding_model_dimensions($model) {
23 - $registry = self::embedding_model_registry();
24 - return isset($registry[$model]) ? (int) $registry[$model]['dims'] : 0;
25 -}
26 -
27 -public static function embedding_model_label($model) {
28 - $registry = self::embedding_model_registry();
29 - return isset($registry[$model]) ? $registry[$model]['label'] : $model;
30 -}
31 -
32 -/**
33 - * Returns the model that was last used to actually write embeddings into the
34 - * KB. Differs from the user-selected setting once a switch has happened but
35 - * no re-embed has occurred yet — that's the mismatch state we warn about.
36 - */
37 -public static function get_active_embedding_model() {
38 - return get_option('mxchat_active_embedding_model', '');
39 -}
40 -
41 -/**
42 - * Stamp the model that produced the most recent successful embedding. Called
43 - * from generate_embedding() right after the API responds with a valid vector.
44 - */
45 -public static function stamp_active_embedding_model($model) {
46 - if (!empty($model) && $model !== self::get_active_embedding_model()) {
47 - update_option('mxchat_active_embedding_model', $model, false);
48 - }
49 -}
50 -
51 -/**
52 9 * UPDATED: Submit or update content (and its embedding) in the database.
53 10 * Stores in Pinecone if enabled, otherwise stores in WordPress DB.
54 11 *
55 12 * @param string $content The content to be embedded.
@@ -414,9 +371,9 @@
414 371 'source_url' => $url, // Can be empty for manual content
415 372 'type' => $content_type, // Now supports: post, page, pdf, url, manual, product, etc.
416 373 'last_updated' => time(),
417 374 'created_at' => time(), // Add creation timestamp
418 - 'bot_id' => $bot_id, // Add bot identification
375 + 'bot_id' => $bot_id // Add bot identification
419 376 );
420 377
421 378 $vector_data = array(
422 379 'id' => $vector_id,
@@ -564,9 +521,8 @@
564 521 // Handle different response formats based on provider
565 522 if (strpos($selected_model, 'gemini-embedding') === 0) {
566 523 // Gemini API response format
567 524 if (isset($response_body['embedding']['values']) && is_array($response_body['embedding']['values'])) {
568 - self::stamp_active_embedding_model($selected_model);
569 525 return $response_body['embedding']['values'];
570 526 } else {
571 527 //error_log('Invalid response received from Gemini embedding API for bot ' . $bot_id . ': ' . wp_json_encode($response_body));
572 528 return null;
@@ -573,9 +529,8 @@
573 529 }
574 530 } else {
575 531 // OpenAI/Voyage API response format
576 532 if (isset($response_body['data'][0]['embedding']) && is_array($response_body['data'][0]['embedding'])) {
577 - self::stamp_active_embedding_model($selected_model);
578 533 return $response_body['data'][0]['embedding'];
579 534 } else {
580 535 //error_log('Invalid response received from embedding API for bot ' . $bot_id . ': ' . wp_json_encode($response_body));
581 536 return null;
@@ -631,36 +586,8 @@
631 586
632 587 foreach ($chunks as $index => $chunk_text) {
633 588 // Generate chunk metadata
634 589 $chunk_metadata = MxChat_Chunker::create_chunk_metadata($index, $total_chunks, $source_url);
635 -
636 - // AI-Engine-style aliases so external consumers (Pinecone/Qdrant/Chroma) can rely on
637 - // a stable shorthand ('source'/'part_index'/'part_total') without parsing our internal names.
638 - $chunk_metadata['source'] = $source_url;
639 - $chunk_metadata['part_index'] = (int) $index;
640 - $chunk_metadata['part_total'] = (int) $total_chunks;
641 -
642 - /**
643 - * Filter the per-chunk metadata blob before it's written to the KB store.
644 - *
645 - * @param array $chunk_metadata Metadata array (source, part_index, part_total, chunk_index, total_chunks, source_url, parent_url_hash, document_type, ...).
646 - * @param string $chunk_text The chunk text being stored.
647 - * @param array $context ['bot_id' => string, 'content_type' => string, 'source_url' => string, 'part_index' => int, 'part_total' => int]
648 - * @return array Updated metadata array.
649 - */
650 - $chunk_metadata = apply_filters(
651 - 'mxchat_embedding_chunk_metadata',
652 - $chunk_metadata,
653 - $chunk_text,
654 - array(
655 - 'bot_id' => $bot_id,
656 - 'content_type' => $content_type,
657 - 'source_url' => $source_url,
658 - 'part_index' => (int) $index,
659 - 'part_total' => (int) $total_chunks,
660 - )
661 - );
662 -
663 590 $chunk_vector_id = MxChat_Chunker::generate_chunk_vector_id($source_url, $index);
664 591
665 592 //error_log('[MXCHAT-CHUNK] Processing chunk ' . ($index + 1) . '/' . $total_chunks . ' (ID: ' . $chunk_vector_id . ')');
666 593
@@ -759,9 +686,9 @@
759 686 'total_chunks' => $chunk_metadata['total_chunks'],
760 687 'parent_url_hash' => $chunk_metadata['parent_url_hash'],
761 688 'last_updated' => time(),
762 689 'created_at' => time(),
763 - 'bot_id' => $bot_id,
690 + 'bot_id' => $bot_id
764 691 );
765 692
766 693 $vector_data = array(
767 694 'id' => $vector_id,