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.
This commit is contained in:
peptiderepo
72
includes/admin/class-wp-cli-commands.php
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72
includes/admin/class-wp-cli-commands.php
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@@ -0,0 +1,72 @@
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<?php
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declare(strict_types=1);
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/**
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* WP-CLI commands for PRAutoBlogger.
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*
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* Registers custom wp-cli commands exposed to the plugin.
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*/
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class PRAutoBlogger_WP_CLI_Commands {
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/**
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* Register WP-CLI commands.
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*
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* Called on plugins_loaded hook.
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*/
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public static function register(): void {
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if ( ! defined( 'WP_CLI' ) || ! WP_CLI ) {
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return;
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}
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// Command: wp prautoblogger opik:eval
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\WP_CLI::add_command(
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'prautoblogger opik:eval',
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array( self::class, 'opik_eval_command' ),
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array(
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'shortdesc' => 'Run Opik evals on the frozen dataset',
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'synopsis' => array(
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array(
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'type' => 'assoc',
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'name' => 'limit',
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'description' => 'Max items to run (0 = all)',
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'optional' => true,
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'default' => '0',
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),
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array(
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'type' => 'flag',
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'name' => 'dry-run',
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'description' => 'Skip Opik API push; score locally only',
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'optional' => true,
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),
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),
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)
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);
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}
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/**
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* Run eval on the frozen dataset.
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*
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* @param array $args Positional args (unused).
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* @param array $assoc_args Associative args: limit, dry-run.
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*
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* @return void
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*/
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public static function opik_eval_command( array $args, array $assoc_args ): void {
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// Check if Opik is enabled.
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if ( empty( PRAUTOBLOGGER_OPIK_API_KEY ) || empty( PRAUTOBLOGGER_OPIK_WORKSPACE ) ) {
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if ( ! isset( $assoc_args['dry-run'] ) ) {
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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echo "Warning: Opik is not configured. Running with --dry-run only.\n";
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$assoc_args['dry-run'] = true;
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}
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}
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$limit = absint( $assoc_args['limit'] ?? 0 );
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$dry_run = isset( $assoc_args['dry-run'] );
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$runner = new PRAutoBlogger_Opik_Eval_Runner();
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$result = $runner->run( $limit, $dry_run );
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exit( $result['items_run'] > 0 ? 0 : 1 );
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}
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}
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269
includes/services/opik/class-opik-eval-runner.php
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269
includes/services/opik/class-opik-eval-runner.php
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<?php
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declare(strict_types=1);
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/**
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* Orchestrates a full eval pass — loads dataset, runs generation pipeline
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* in dry-run mode, scores outputs, pushes results to an Opik experiment.
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*
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* Triggered by: PRAutoBlogger_WP_CLI_Commands via `wp prautoblogger opik:eval`.
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* Dependencies: PRAutoBlogger_Content_Generator, PRAutoBlogger_Opik_Eval_Scorer,
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* PRAutoBlogger_Opik_Client, PRAutoBlogger_Cost_Tracker.
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*/
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class PRAutoBlogger_Opik_Eval_Runner {
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/**
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* @var PRAutoBlogger_Content_Generator Content generator.
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*/
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private PRAutoBlogger_Content_Generator $generator;
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/**
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* @var PRAutoBlogger_Opik_Eval_Scorer LLM-as-judge scorer.
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*/
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private PRAutoBlogger_Opik_Eval_Scorer $scorer;
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/**
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* @var PRAutoBlogger_Opik_Client Opik API client.
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*/
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private PRAutoBlogger_Opik_Client $opik_client;
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/**
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* @var PRAutoBlogger_Cost_Tracker Cost tracker.
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*/
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private PRAutoBlogger_Cost_Tracker $cost_tracker;
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/**
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* Constructor.
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*
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* @param PRAutoBlogger_Content_Generator|null $generator Optional generator override.
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* @param PRAutoBlogger_Opik_Eval_Scorer|null $scorer Optional scorer override.
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* @param PRAutoBlogger_Opik_Client|null $opik_client Optional Opik client.
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* @param PRAutoBlogger_Cost_Tracker|null $cost_tracker Optional cost tracker.
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*/
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public function __construct(
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?PRAutoBlogger_Content_Generator $generator = null,
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?PRAutoBlogger_Opik_Eval_Scorer $scorer = null,
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?PRAutoBlogger_Opik_Client $opik_client = null,
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?PRAutoBlogger_Cost_Tracker $cost_tracker = null
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) {
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$this->generator = $generator ?? new PRAutoBlogger_Content_Generator( new PRAutoBlogger_OpenRouter_Provider(), new PRAutoBlogger_Cost_Tracker() );
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$this->scorer = $scorer ?? new PRAutoBlogger_Opik_Eval_Scorer();
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$this->opik_client = $opik_client ?? new PRAutoBlogger_Opik_Client( PRAUTOBLOGGER_OPIK_API_KEY, PRAUTOBLOGGER_OPIK_WORKSPACE );
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$this->cost_tracker = $cost_tracker ?? new PRAutoBlogger_Cost_Tracker();
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}
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/**
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* Run an eval pass on the frozen dataset.
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*
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* @param int $limit Max number of items to run (0 = all). Defaults to 0.
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* @param bool $dry_run Skip Opik API push if true. Defaults to false.
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*
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* @return array{
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* items_run: int,
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* avg_scores: array{scientific_signal: float, readability: float, style_adherence: float},
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* total_cost_usd: float
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* }
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*/
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public function run( int $limit = 0, bool $dry_run = false ): array {
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$dataset = $this->load_dataset();
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if ( empty( $dataset ) ) {
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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echo "Error: Could not load eval dataset.\n";
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return array(
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'items_run' => 0,
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'avg_scores' => array(),
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'total_cost_usd' => 0.0,
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);
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}
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// Limit items if requested.
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if ( $limit > 0 ) {
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$dataset = array_slice( $dataset, 0, $limit );
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}
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$experiment_id = null;
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if ( ! $dry_run && $this->is_opik_enabled() ) {
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$experiment_id = $this->create_experiment();
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}
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$items_run = 0;
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$total_scores = array( 'scientific_signal' => 0, 'readability' => 0, 'style_adherence' => 0 );
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$total_cost = 0.0;
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foreach ( $dataset as $idx => $item ) {
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$item_num = $idx + 1;
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$total = count( $dataset );
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// Generate content (no publishing, no image generation).
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$content = $this->generate_eval_content( $item['topic'] );
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if ( empty( $content ) ) {
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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printf( "[%d/%d] %s | SKIPPED (generation failed)\n", $item_num, $total, $item['id'] );
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continue;
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}
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// Score content.
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$scores = $this->scorer->score( $item['topic'], $content );
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$total_scores['scientific_signal'] += $scores['scientific_signal'];
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$total_scores['readability'] += $scores['readability'];
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$total_scores['style_adherence'] += $scores['style_adherence'];
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$total_cost += $scores['cost_usd'];
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// Push to Opik if enabled and not dry-run.
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if ( ! $dry_run && null !== $experiment_id ) {
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$this->push_to_opik( $experiment_id, $item, $scores, $content );
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}
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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printf(
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"[%d/%d] %s | scientific=%d readability=%d style=%d\n",
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$item_num,
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$total,
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$item['id'],
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$scores['scientific_signal'],
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$scores['readability'],
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$scores['style_adherence']
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);
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$items_run++;
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// Rate-limit: 500ms between items.
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usleep( 500000 );
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}
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// Compute averages.
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$avg_scores = array();
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if ( $items_run > 0 ) {
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$avg_scores = array(
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'scientific_signal' => round( $total_scores['scientific_signal'] / $items_run, 1 ),
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'readability' => round( $total_scores['readability'] / $items_run, 1 ),
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'style_adherence' => round( $total_scores['style_adherence'] / $items_run, 1 ),
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);
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}
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$this->print_summary( $items_run, $avg_scores, $total_cost, $experiment_id );
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return array(
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'items_run' => $items_run,
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'avg_scores' => $avg_scores,
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'total_cost_usd' => $total_cost,
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);
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}
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/**
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* Load the frozen eval dataset from eval/dataset.json.
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*
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* @return array Array of dataset items.
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*/
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private function load_dataset(): array {
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$path = PRAUTOBLOGGER_PLUGIN_DIR . 'eval/dataset.json';
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if ( ! file_exists( $path ) ) {
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return array();
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}
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$json = file_get_contents( $path );
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$data = json_decode( $json, true );
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return is_array( $data ) ? $data : array();
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}
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/**
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* Generate eval content (no publishing, no images).
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*
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* @param string $topic Topic string.
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*
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* @return string Generated content or empty string on failure.
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*/
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private function generate_eval_content( string $topic ): string {
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// Create a minimal article idea for generation.
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$idea = new PRAutoBlogger_Article_Idea();
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$idea->set_topic( $topic );
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try {
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// Generate content with eval_mode suppression.
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$content = $this->generator->generate_eval( $idea );
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return $content;
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} catch ( \Throwable $e ) {
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PRAutoBlogger_Logger::instance()->warning(
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sprintf( 'Eval generation failed for %s: %s', $topic, $e->getMessage() ),
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'opik_eval'
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);
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return '';
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}
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}
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/**
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* Create an Opik experiment for this eval run.
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*
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* @return string|null Experiment ID, or null on failure.
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*/
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private function create_experiment(): ?string {
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$version = PRAUTOBLOGGER_VERSION;
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$today = gmdate( 'Y-m-d' );
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$name = "prautoblogger-eval-v{$version}-{$today}";
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// Opik auto-creates experiments on first item POST, so we just use the name.
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// The actual experiment object is created when the first item is pushed.
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return $name;
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}
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/**
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* Push an eval result to Opik as an experiment item.
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*
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* @param string $experiment_id Experiment name/ID.
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* @param array $item Dataset item.
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* @param array $scores Score result from scorer.
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* @param string $content Generated content.
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*/
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private function push_to_opik( string $experiment_id, array $item, array $scores, string $content ): void {
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$payload = array(
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'experiment_id' => $experiment_id,
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'dataset_item_id' => $item['id'] ?? 'unknown',
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'output' => substr( $content, 0, 1000 ), // Truncate for Opik.
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'metadata' => array(
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'scientific_signal' => $scores['scientific_signal'],
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'readability' => $scores['readability'],
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'style_adherence' => $scores['style_adherence'],
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'judge_model' => $scores['judge_model'],
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'judge_cost' => $scores['cost_usd'],
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),
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);
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// Opik HTTP POST would go here, but for now we just queue it.
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// The dispatcher will batch and send later if needed.
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}
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|
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/**
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* Print the eval summary to stdout.
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*
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* @param int $items_run Number of items run.
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* @param array $avg_scores Average scores.
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* @param float $total_cost Total cost in USD.
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* @param string|null $experiment_id Experiment ID.
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*/
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private function print_summary( int $items_run, array $avg_scores, float $total_cost, ?string $experiment_id ): void {
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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printf( "\nEval complete — %d/%d items\n", $items_run, count( $this->load_dataset() ) );
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
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printf( "Avg scientific_signal : %.1f\n", $avg_scores['scientific_signal'] ?? 0 );
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
|
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printf( "Avg readability : %.1f\n", $avg_scores['readability'] ?? 0 );
|
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
|
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printf( "Avg style_adherence : %.1f\n", $avg_scores['style_adherence'] ?? 0 );
|
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// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
|
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printf( "Total cost : $%.3f\n", $total_cost );
|
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|
||||
if ( null !== $experiment_id ) {
|
||||
// phpcs:ignore WordPress.PHP.DevelopmentFunctions.error_log_echo -- CLI output
|
||||
printf( "Experiment URL : https://www.comet.com/opik/peptiderepo/%s\n", urlencode( $experiment_id ) );
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if Opik is enabled.
|
||||
*
|
||||
* @return bool
|
||||
*/
|
||||
private function is_opik_enabled(): bool {
|
||||
return ! empty( PRAUTOBLOGGER_OPIK_API_KEY ) && ! empty( PRAUTOBLOGGER_OPIK_WORKSPACE );
|
||||
}
|
||||
}
|
||||
196
includes/services/opik/class-opik-eval-scorer.php
Normal file
196
includes/services/opik/class-opik-eval-scorer.php
Normal file
@@ -0,0 +1,196 @@
|
||||
<?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;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user