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feat: add LLM Deep Research source provider (v0.5.0)

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New data source that sends a configurable research prompt to a
reasoning-capable model (Grok 4.1 Fast, DeepSeek-R1, etc.) to identify
trending topics, content gaps, and emerging questions. Findings feed
into the content analyzer alongside Reddit data, combining real-time
community signals with deep knowledge-base research.

New admin settings: Research Model picker, Research Prompt textarea,
and LLM Deep Research toggle in Enabled Sources.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
peptiderepo
2026-04-20 00:05:15 +07:00
parent 39570e4586
commit c03bdfb69c
8 changed files with 282 additions and 19 deletions
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12
includes/core/class-content-analyzer.php
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@@ -147,12 +147,14 @@ class PRAutoBlogger_Content_Analyzer {
$current_chars = 0;
foreach ( $items as $item ) {
// LLM research findings have no subreddit; use a cleaner label.
$source_label = 'llm_research' === $item['source_type']
? sprintf( '[LLM Research] Relevance: %d', (int) $item['score'] )
: sprintf( '[%s] r/%s | Score: %d | Comments: %d', $item['source_type'], $item['subreddit'] ?? 'unknown', (int) $item['score'], (int) $item['comment_count'] );
$entry = sprintf(
"[%s] r/%s | Score: %d | Comments: %d\nTitle: %s\n%s\n---",
$item['source_type'],
$item['subreddit'] ?? 'unknown',
(int) $item['score'],
(int) $item['comment_count'],
"%s\nTitle: %s\n%s\n---",
$source_label,
$item['title'] ?? '(comment)',
mb_substr( $item['content'] ?? '', 0, 500 )
);