Files
prautoblogger/includes/core/class-content-generator.php
peptiderepo ca5fdfacc4 Opik Wave 1 Commit 2: Integration wraps at LLM call sites
Add Opik span instrumentation to core generation pipeline:

- class-article-worker.php: Initialize trace context at start
  * Trace initialized via init_trace()
  * Spans queued after generation completes
  * Async dispatch scheduled via wp_schedule_single_event
  * Feature flag check before any Opik operations

- class-content-generator.php: Span per LLM call
  * Single-pass generation: 1 span
  * Multi-step (outline/draft/polish): 3 spans
  * Each span captures model, provider, token usage
  * Minimal docblock to keep file ≤ 300 LOC

- class-chief-editor.php: Editorial review span
  * Wraps LLM-based content review
  * Captures JSON response parsing
  * Records quality/SEO score generation

All files ≤ 300 LOC. Spans capture usage data but not full
prompts (per security policy). Feature-flag default OFF.

Note: Image_Prompt_Builder already at 314 LOC (over limit);
skipped to avoid further expansion. Can be instrumented in
future without modifying existing code (via filters).

Part of Wave 1 integration.
Target: v0.12.0
2026-04-23 14:50:20 +00:00

237 lines
6.9 KiB
PHP
Executable File

<?php
declare(strict_types=1);
/**
* Writer agent — generates blog post content from article ideas.
*
* Supports: single_pass (one LLM call) or multi_step (outline → draft → polish).
* Opik instrumentation: spans per LLM call when feature-flag enabled.
*
* Triggered by: PRAutoBlogger_Article_Worker.
* Dependencies: LLM_Provider_Interface, Cost_Tracker, Content_Prompts.
*/
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.
*
* @param PRAutoBlogger_Article_Idea $idea The scored idea to generate content for.
* @return string Generated HTML content.
*/
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 ) ?? array(),
get_option( 'prautoblogger_writing_instructions', '' )
);
return 'single_pass' === $mode
? $this->generate_single_pass( $request )
: $this->generate_multi_step( $request );
}
/**
* Single-pass: one LLM call produces complete article.
*/
private function generate_single_pass( PRAutoBlogger_Content_Request $request ): string {
$model = get_option( 'prautoblogger_writing_model', PRAUTOBLOGGER_DEFAULT_WRITING_MODEL );
$ctx = PRAutoBlogger_Opik_Trace_Context::current();
$span_id = $ctx->start_span(
array(
'name' => 'single_pass_generation',
'type' => 'llm',
'model' => $model,
'provider' => 'openrouter',
)
);
$response = $this->llm->send_chat_completion(
array(
array( 'role' => 'system', 'content' => PRAutoBlogger_Content_Prompts::build_system( $request ) ),
array( 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_single_pass( $request ) ),
),
$model,
array( 'temperature' => 0.7, 'max_tokens' => 4000 )
);
$ctx->end_span(
$span_id,
array(
'usage' => array(
'prompt_tokens' => $response['prompt_tokens'],
'completion_tokens' => $response['completion_tokens'],
'total_tokens' => $response['prompt_tokens'] + $response['completion_tokens'],
),
)
);
$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: 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;
}
/**
* Stage 1: Generate article outline.
*/
private function stage_outline( PRAutoBlogger_Content_Request $request, string $model ): string {
$ctx = PRAutoBlogger_Opik_Trace_Context::current();
$span_id = $ctx->start_span(
array(
'name' => 'outline_generation',
'type' => 'llm',
'model' => $model,
'provider' => 'openrouter',
)
);
$response = $this->llm->send_chat_completion(
array(
array( 'role' => 'system', 'content' => PRAutoBlogger_Content_Prompts::build_system( $request ) ),
array( 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_outline( $request ) ),
),
$model,
array( 'temperature' => 0.5, 'max_tokens' => 1500 )
);
$ctx->end_span(
$span_id,
array(
'usage' => array(
'prompt_tokens' => $response['prompt_tokens'],
'completion_tokens' => $response['completion_tokens'],
'total_tokens' => $response['prompt_tokens'] + $response['completion_tokens'],
),
)
);
$this->cost_tracker->log_api_call(
null, 'outline', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
/**
* Stage 2: Write full draft from outline.
*/
private function stage_draft( PRAutoBlogger_Content_Request $request, string $outline, string $model ): string {
$ctx = PRAutoBlogger_Opik_Trace_Context::current();
$span_id = $ctx->start_span(
array(
'name' => 'draft_generation',
'type' => 'llm',
'model' => $model,
'provider' => 'openrouter',
)
);
$response = $this->llm->send_chat_completion(
array(
array( 'role' => 'system', 'content' => PRAutoBlogger_Content_Prompts::build_system( $request ) ),
array( 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_draft( $request, $outline ) ),
),
$model,
array( 'temperature' => 0.7, 'max_tokens' => 4000 )
);
$ctx->end_span(
$span_id,
array(
'usage' => array(
'prompt_tokens' => $response['prompt_tokens'],
'completion_tokens' => $response['completion_tokens'],
'total_tokens' => $response['prompt_tokens'] + $response['completion_tokens'],
),
)
);
$this->cost_tracker->log_api_call(
null, 'draft', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
/**
* Stage 3: Polish and refine draft.
*/
private function stage_polish( PRAutoBlogger_Content_Request $request, string $draft, string $model ): string {
$ctx = PRAutoBlogger_Opik_Trace_Context::current();
$span_id = $ctx->start_span(
array(
'name' => 'polish_generation',
'type' => 'llm',
'model' => $model,
'provider' => 'openrouter',
)
);
$response = $this->llm->send_chat_completion(
array(
array( 'role' => 'system', 'content' => PRAutoBlogger_Content_Prompts::build_system( $request ) ),
array( 'role' => 'user', 'content' => PRAutoBlogger_Content_Prompts::build_polish( $draft ) ),
),
$model,
array( 'temperature' => 0.4, 'max_tokens' => 4000 )
);
$ctx->end_span(
$span_id,
array(
'usage' => array(
'prompt_tokens' => $response['prompt_tokens'],
'completion_tokens' => $response['completion_tokens'],
'total_tokens' => $response['prompt_tokens'] + $response['completion_tokens'],
),
)
);
$this->cost_tracker->log_api_call(
null, 'polish', $this->llm->get_provider_name(),
$response['model'], $response['prompt_tokens'], $response['completion_tokens']
);
return $response['content'];
}
}