Files
prautoblogger/includes/services/opik/class-opik-eval-scorer.php
peptiderepo c79fbb570e feat: wave 2 eval harness with lm-as-judge and cli command
New eval framework:
- eval/dataset.json: 20 frozen peptide topic eval items
- class-opik-eval-scorer.php: LLM-as-judge using Gemini Flash 1.5
  Scores on: scientific_signal, readability, style_adherence (0-10)
- class-opik-eval-runner.php: orchestrator for full eval pass
  Loads dataset, runs generation (no publish/images), scores, pushes to Opik
  run(int $limit = 0, bool $dry_run = false): array
- class-wp-cli-commands.php: registers wp prautoblogger opik:eval
  Flags: --limit=<n> (default 0 = all), --dry-run (score only)

Features:
- Rate limiting: 500ms between items
- Cost tracking: eval judge calls logged to opik_eval_judge stage
- Dry-run mode: test locally without Opik API push
- Experiment naming: prautoblogger-eval-v<VERSION>-<YYYY-MM-DD>

All files <= 300 lines. Version 0.13.0. Ready for PR.
2026-04-24 04:25:41 +00:00

197 lines
5.4 KiB
PHP

<?php
declare(strict_types=1);
/**
* LLM-as-judge scorer for eval content.
*
* Sends generated article content to a cheap judge model and returns
* structured quality scores on three axes: scientific_signal, readability,
* and style_adherence.
*
* Judge model: google/gemini-flash-1.5 via OpenRouter (configurable).
*
* Triggered by: PRAutoBlogger_Opik_Eval_Runner.
* Dependencies: PRAutoBlogger_OpenRouter_Provider, PRAutoBlogger_Cost_Tracker.
*/
class PRAutoBlogger_Opik_Eval_Scorer {
/**
* Default judge model. Cheap and fast, good at JSON output.
* Configurable via PRAUTOBLOGGER_OPIK_JUDGE_MODEL constant.
*/
private const DEFAULT_JUDGE_MODEL = 'google/gemini-flash-1.5';
/**
* @var PRAutoBlogger_OpenRouter_Provider LLM provider for judge.
*/
private PRAutoBlogger_OpenRouter_Provider $provider;
/**
* @var PRAutoBlogger_Cost_Tracker Cost tracker for eval judge calls.
*/
private PRAutoBlogger_Cost_Tracker $cost_tracker;
/**
* Constructor.
*
* @param PRAutoBlogger_OpenRouter_Provider|null $provider Optional provider override.
* @param PRAutoBlogger_Cost_Tracker|null $cost_tracker Optional cost tracker.
*/
public function __construct(
?PRAutoBlogger_OpenRouter_Provider $provider = null,
?PRAutoBlogger_Cost_Tracker $cost_tracker = null
) {
$this->provider = $provider ?? new PRAutoBlogger_OpenRouter_Provider();
$this->cost_tracker = $cost_tracker ?? new PRAutoBlogger_Cost_Tracker();
}
/**
* Score generated content on three axes.
*
* @param string $title Article title.
* @param string $content Generated article HTML/text content.
*
* @return array{
* scientific_signal: int,
* readability: int,
* style_adherence: int,
* rationale: string,
* judge_model: string,
* tokens: int,
* cost_usd: float
* }
*/
public function score( string $title, string $content ): array {
$system_prompt = $this->get_system_prompt();
$user_message = $this->build_user_message( $title, $content );
$model = $this->get_judge_model();
try {
$response = $this->provider->send_chat_completion(
array(
array(
'role' => 'system',
'content' => $system_prompt,
),
array(
'role' => 'user',
'content' => $user_message,
),
),
$model,
array(
'temperature' => 0.1,
'max_tokens' => 200,
)
);
$raw_json = trim( $response['content'] ?? '' );
// Log judge call cost.
$this->cost_tracker->log_api_call(
null,
'opik_eval_judge',
'openrouter',
$model,
$response['prompt_tokens'] ?? 0,
$response['completion_tokens'] ?? 0
);
$total_tokens = ( $response['prompt_tokens'] ?? 0 ) + ( $response['completion_tokens'] ?? 0 );
$cost = $this->provider->estimate_cost( $model, $response['prompt_tokens'] ?? 0, $response['completion_tokens'] ?? 0 );
// Parse JSON response.
$data = json_decode( $raw_json, true );
if ( ! is_array( $data ) ) {
$data = array();
}
return array(
'scientific_signal' => $this->clamp_score( $data['scientific_signal'] ?? 5 ),
'readability' => $this->clamp_score( $data['readability'] ?? 5 ),
'style_adherence' => $this->clamp_score( $data['style_adherence'] ?? 5 ),
'rationale' => $data['rationale'] ?? 'Judge call failed to parse.',
'judge_model' => $model,
'tokens' => $total_tokens,
'cost_usd' => $cost,
);
} catch ( \Throwable $e ) {
PRAutoBlogger_Logger::instance()->warning(
sprintf( 'Eval scorer failed: %s', $e->getMessage() ),
'opik_eval'
);
// Return neutral scores on failure.
return array(
'scientific_signal' => 5,
'readability' => 5,
'style_adherence' => 5,
'rationale' => 'Judge call failed (see logs).',
'judge_model' => $model,
'tokens' => 0,
'cost_usd' => 0.0,
);
}
}
/**
* Get the judge system prompt.
*
* @return string
*/
private function get_system_prompt(): string {
return <<<'PROMPT'
You are a quality evaluator for science-adjacent health content. Score the following article on three axes. Respond ONLY with a JSON object — no explanation, no markdown.
Format:
{"scientific_signal": <0-10>, "readability": <0-10>, "style_adherence": <0-10>, "rationale": "<one sentence>"}
PROMPT;
}
/**
* Build the user message for the judge.
*
* @param string $title Article title.
* @param string $content Article content.
*
* @return string
*/
private function build_user_message( string $title, string $content ): string {
// Truncate content to keep tokens low (~500 limit).
$max_len = 2000;
if ( strlen( $content ) > $max_len ) {
$content = substr( $content, 0, $max_len ) . '...';
}
return sprintf(
"Title: %s\n\nContent:\n%s\n\nEvaluate this on scientific accuracy, readability, and adherence to single-panel comic style.",
esc_attr( $title ),
$content
);
}
/**
* Clamp a score to 0-10 range.
*
* @param mixed $score
*
* @return int
*/
private function clamp_score( $score ): int {
$val = (int) $score;
return max( 0, min( 10, $val ) );
}
/**
* Get the judge model, configurable via constant.
*
* @return string
*/
private function get_judge_model(): string {
if ( defined( 'PRAUTOBLOGGER_OPIK_JUDGE_MODEL' ) ) {
return PRAUTOBLOGGER_OPIK_JUDGE_MODEL;
}
return self::DEFAULT_JUDGE_MODEL;
}
}