Files
prautoblogger/includes/core/class-content-generator.php
peptiderepo 76235ef4d7 v0.6.1: peptide auto-linking + extract Content_Prompts class
When any peptide from the PR Core database is mentioned in a generated
article, the first mention is now automatically linked to its /peptides/
page. Gracefully degrades if PR Core is not active.

Extracted all prompt construction into Content_Prompts (252 lines),
slimming Content_Generator from 324 → 162 lines. Both under 300.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-20 02:19:52 +07:00

163 lines
5.7 KiB
PHP
Executable File

<?php
declare(strict_types=1);
/**
* Writer agent — generates blog post content from article ideas.
*
* Supports two configurable pipeline modes:
* - single_pass: One LLM call produces the complete article (cheaper, faster).
* - multi_step: Outline → Draft → Polish pipeline (higher quality, more cost).
*
* Triggered by: PRAutoBlogger::run_generation_pipeline() (step 4).
* Dependencies: LLM_Provider_Interface, Cost_Tracker, Content_Prompts.
*
* @see core/class-content-prompts.php — Builds all LLM prompts used here.
* @see core/class-chief-editor.php — Reviews output of this class.
* @see providers/interface-llm-provider.php — LLM used for generation.
* @see ARCHITECTURE.md — Data flow step 4.
*/
class PRAutoBlogger_Content_Generator {
private PRAutoBlogger_LLM_Provider_Interface $llm;
private PRAutoBlogger_Cost_Tracker $cost_tracker;
public function __construct(
PRAutoBlogger_LLM_Provider_Interface $llm,
PRAutoBlogger_Cost_Tracker $cost_tracker
) {
$this->llm = $llm;
$this->cost_tracker = $cost_tracker;
}
/**
* Generate a blog post from an article idea.
*
* Reads pipeline mode from settings and dispatches to the appropriate method.
* Side effects: LLM API calls (1-3 depending on mode), cost logging.
*
* @param PRAutoBlogger_Article_Idea $idea The scored idea to generate content for.
* @return string Generated HTML content.
* @throws \RuntimeException On generation failure.
*/
public function generate( PRAutoBlogger_Article_Idea $idea ): string {
$mode = get_option( 'prautoblogger_writing_pipeline', 'multi_step' );
$request = new PRAutoBlogger_Content_Request(
$idea,
$mode,
get_option( 'prautoblogger_tone', 'informational' ),
absint( get_option( 'prautoblogger_min_word_count', 800 ) ),
absint( get_option( 'prautoblogger_max_word_count', 2000 ) ),
get_option( 'prautoblogger_niche_description', '' ),
json_decode( get_option( 'prautoblogger_topic_exclusions', '[]' ), true ) ?: [],
get_option( 'prautoblogger_writing_instructions', '' )
);
if ( 'single_pass' === $mode ) {
return $this->generate_single_pass( $request );
}
return $this->generate_multi_step( $request );
}
/**
* Single-pass generation: one LLM call produces the complete article.
*
* @param PRAutoBlogger_Content_Request $request Content request with settings.
* @return string Generated HTML content.
*/
private function generate_single_pass( PRAutoBlogger_Content_Request $request ): string {
$model = get_option( 'prautoblogger_writing_model', PRAUTOBLOGGER_DEFAULT_WRITING_MODEL );
$response = $this->llm->send_chat_completion(
[
[ 'role' => 'system', 'content' => PRAutoBlogger_Content_Prompts::build_system( $request ) ],
[ 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_single_pass( $request ) ],
],
$model,
[ 'temperature' => 0.7, 'max_tokens' => 4000 ]
);
$this->cost_tracker->log_api_call(
null, 'draft', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
/** Multi-step generation: Outline → Draft → Polish. */
private function generate_multi_step( PRAutoBlogger_Content_Request $request ): string {
$model = get_option( 'prautoblogger_writing_model', PRAUTOBLOGGER_DEFAULT_WRITING_MODEL );
$outline = $this->stage_outline( $request, $model );
$draft = $this->stage_draft( $request, $outline, $model );
$polished = $this->stage_polish( $request, $draft, $model );
return $polished;
}
/** Multi-step stage 1: Generate an article outline. */
private function stage_outline( PRAutoBlogger_Content_Request $request, string $model ): string {
$system = PRAutoBlogger_Content_Prompts::build_system( $request );
$response = $this->llm->send_chat_completion(
[
[ 'role' => 'system', 'content' => $system ],
[ 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_outline( $request ) ],
],
$model,
[ 'temperature' => 0.5, 'max_tokens' => 1500 ]
);
$this->cost_tracker->log_api_call(
null, 'outline', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
/** Multi-step stage 2: Write the full draft from the outline. */
private function stage_draft( PRAutoBlogger_Content_Request $request, string $outline, string $model ): string {
$system = PRAutoBlogger_Content_Prompts::build_system( $request );
$response = $this->llm->send_chat_completion(
[
[ 'role' => 'system', 'content' => $system ],
[ 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_draft( $request, $outline ) ],
],
$model,
[ 'temperature' => 0.7, 'max_tokens' => 4000 ]
);
$this->cost_tracker->log_api_call(
null, 'draft', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
/** Multi-step stage 3: Polish and refine the draft. */
private function stage_polish( PRAutoBlogger_Content_Request $request, string $draft, string $model ): string {
$system = PRAutoBlogger_Content_Prompts::build_system( $request );
$response = $this->llm->send_chat_completion(
[
[ 'role' => 'system', 'content' => $system ],
[ 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_polish( $draft ) ],
],
$model,
[ 'temperature' => 0.4, 'max_tokens' => 4000 ]
);
$this->cost_tracker->log_api_call(
null, 'polish', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
}