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<?php
namespace TrxAddons\AiHelper;
if ( ! defined( 'ABSPATH' ) ) {
exit;
}
use \TrxAddons\Core\Singleton;
use Markdown\Parser\Parsedown;
/**
* Class to make queries to the OpenAi API
*/
class GoogleAi extends Singleton {
/**
* The object to log queries to the API
*
* @access private
*
* @var Logger The object to log queries to the API
*/
var $logger = null;
var $logger_section = 'google-ai';
/**
* The object of the API
*
* @access private
*
* @var api The object of the API
*/
var $api = null;
/**
* Plugin constructor.
*
* @access protected
*/
protected function __construct() {
parent::__construct();
$this->logger = Logger::instance();
}
/**
* Return an object of the API
*
* @param string $token API token for the API
*
* @return api The object of the API
*/
public function get_api( $token = '' ) {
if ( empty( $this->api ) ) {
if ( empty( $token ) ) {
$token = $this->get_token();
}
if ( ! empty( $token ) ) {
$this->api = new \ThemeRex\GoogleAi\Gemini( $token );
$proxy = trx_addons_get_option( 'ai_helper_proxy_google_ai', '' );
$proxy_auth = trx_addons_get_option( 'ai_helper_proxy_auth_google_ai', '' );
if ( ! empty( $proxy ) ) {
$this->api->setProxy( $proxy, $proxy_auth );
}
}
}
return $this->api;
}
/**
* Return an API token for the API from the plugin options.
* This method is a wrapper for the get_token() method to allow to override it in the child classes.
*
* @access public
*
* @return string API key for the API
*/
public function get_api_key() {
return $this->get_token();
}
/**
* Return an API token for the API from the plugin options
*
* @access protected
*
* @return string API token for the API
*/
protected function get_token() {
return trx_addons_get_option( 'ai_helper_token_google_ai', '' );
}
/**
* Return a model name for the API
*
* @access static
*
*
* @return string Model name for the API
*/
static function get_model() {
$default_model = trx_addons_get_option( 'ai_helper_text_model_default', 'google-ai/gemini-pro' );
return Utils::is_google_ai_model( $default_model ) ? $default_model : 'google-ai/gemini-pro';
}
/**
* Return a maximum number of tokens in the prompt and response for specified model or from all available models
*
* @access static
*
* @param string $model Model name (flow id) for the API. If '*' - return a maximum value from all available models
*
* @return int The maximum number of tokens in the prompt and response for specified model or from all models
*/
static function get_max_tokens( $model = '' ) {
$max_tokens = 0;
if ( ! empty( $model ) ) {
$model = str_replace( 'google-ai/', '', $model );
$models = Lists::get_google_ai_chat_models();
if ( ! empty( $models ) && is_array( $models ) ) {
foreach ( $models as $k => $v ) {
if ( $model == '*' ) {
$max_tokens = max( $max_tokens, (int)$v['max_tokens'] );
} else {
if ( $k == $model ) {
$max_tokens = (int)$v['max_tokens'];
break;
}
}
}
}
}
return $max_tokens;
}
/**
* Return a maximum number of tokens in the output (response) for specified model or from all available models
*
* @access static
*
* @param string $model Model name (flow id) for the API. If '*' - return a maximum value from all available models
*
* @return int The maximum number of tokens in the output (response) for specified model or from all models
*/
static function get_output_tokens( $model = '' ) {
$output_tokens = 0;
if ( ! empty( $model ) ) {
$model = str_replace( 'google-ai/', '', $model );
$models = Lists::get_google_ai_chat_models();
if ( ! empty( $models ) && is_array( $models ) ) {
foreach ( $models as $k => $v ) {
if ( $model == '*' ) {
$output_tokens = max( $output_tokens, ! empty( $v['output_tokens'] ) ? (int)$v['output_tokens'] : 0 );
} else {
if ( $k == $model ) {
$output_tokens = ! empty( $v['output_tokens'] ) ? (int)$v['output_tokens'] : 0;
break;
}
}
}
}
}
return (int)$output_tokens;
}
/**
* Return a list of available models for the API
*
* @access public
*/
public function list_models( $args = array() ) {
$args = array_merge( array(
'token' => $this->get_token(),
), $args );
$response = false;
if ( ! empty( $args['token'] ) ) {
$api = $this->get_api( $args['token'] );
$response = $api->listModels();
if ( is_array( $response ) && ! empty( $response['models'] ) ) {
$response = $response['models'];
} else {
$response = false;
}
}
return $response;
}
/**
* Send a query to the API
*
* @access public
*
* @param array $args Query arguments
*
* @return array Response from the API
*/
public function query( $args = array(), $params = array() ) {
$args = array_merge( array(
'token' => $this->get_token(),
'model' => $this->get_model(),
'prompt' => '',
// 'system_prompt' => '',
// 'frequency_penalty' => 0,
// 'presence_penalty' => 0,
), $args );
$args['max_tokens'] = ! empty( $args['max_tokens'] )
? min( $args['max_tokens'], self::get_max_tokens( $args['model'] ) )
: self::get_max_tokens( $args['model'] );
$args['messages'] = array();
if ( ! empty( $args['prompt'] ) ) {
$args['messages'][] = array(
'role' => 'user',
'content' => $args['prompt']
);
unset( $args['prompt'] );
unset( $args['role'] );
}
$response = false;
if ( ! empty( $args['token'] ) && count( $args['messages'] ) > 0 ) {
$args = $this->prepare_args( $args );
if ( $args['max_tokens'] > 0 ) {
$api = $this->get_api( $args['token'] );
$response = $api->query( $args );
if ( is_array( $response ) ) {
$response = $this->prepare_response( $response, $args );
$this->logger->log( $response, 'query', $args, $this->logger_section );
} else {
$response = false;
}
}
}
return $response;
}
/**
* Send a chat messages to the API
*
* @access public
*
* @param array $args Query arguments
*
* @return array Response from the API
*/
public function chat( $args = array(), $params = array() ) {
$args = array_merge( array(
'token' => $this->get_token(),
'model' => $this->get_model(),
'messages' => array(),
// 'system_prompt' => '',
// 'frequency_penalty' => 0,
// 'presence_penalty' => 0,
), $args );
$args['max_tokens'] = ! empty( $args['max_tokens'] )
? min( $args['max_tokens'], self::get_max_tokens( $args['model'] ) )
: self::get_max_tokens( $args['model'] );
$response = false;
if ( ! empty( $args['token'] ) && ! empty( $args['model'] ) && count( $args['messages'] ) > 0 ) {
$args = $this->prepare_args( $args );
if ( $args['max_tokens'] > 0 ) {
$api = $this->get_api( $args['token'] );
$response = $api->query( $args );
if ( is_array( $response ) ) {
$response = $this->prepare_response( $response, $args );
$this->logger->log( $response, 'chat', $args, $this->logger_section );
} else {
$response = false;
}
}
}
return $response;
}
/**
* Convert a response object to the format, compatible with OpenAI API response
*/
protected function prepare_response( $response, $args ) {
if ( ! empty( $response['candidates'][0]['content']['parts'] ) && is_array( $response['candidates'][0]['content']['parts'] ) ) {
// Combine all parts of the response to one text
$text = '';
foreach ( $response['candidates'][0]['content']['parts'] as $part ) {
if ( ! empty( $part['text'] ) ) {
$text .= "\n" . $part['text'];
}
}
// Parse the markdown
if ( ! empty( $text ) ) {
$parser = new Parsedown();
$text = $parser->text( $text );
}
// Count tokens
$prompt_tokens = ! empty( $args['contents'] ) && ! empty( $args['contents'][ count( $args['contents'] ) - 1 ]['parts'][0]['text'] )
? $this->count_tokens( $args['contents'][ count( $args['contents'] ) - 1 ]['parts'][0]['text'] )
: 0;
$completion_tokens = $this->count_tokens( $text );
// Prepare the response
$response = array(
'finish_reason' => 'stop',
'model' => ! empty( $args['model'] ) ? $args['model'] : __( 'Google Gemini', 'trx_addons' ),
'usage' => array(
'prompt_tokens' => $prompt_tokens,
'completion_tokens' => $completion_tokens,
'total_tokens' => $prompt_tokens + $completion_tokens,
),
'choices' => array(
array(
'message' => array(
'content' => $text,
)
)
)
);
}
return $response;
}
/**
* Prepare args for the API: limit the number of tokens
*
* @access private
*
* @param array $args Query arguments
*
* @return array Prepared query arguments
*/
private function prepare_args( $args = array() ) {
if ( ! empty( $args['messages'] ) && is_array( $args['messages'] ) ) {
$tokens_total = 0;
$args['contents'] = array();
foreach ( $args['messages'] as $k => $message ) {
// If it's a first message - add a system prompt to the message
if ( ! empty( $args['system_prompt'] ) ) {
if ( count( $args['messages'] ) == 1 ) {
$message['content'] = $args['system_prompt'] . "\n" . $message['content'];
}
}
// Remove all HTML tags
//$message['content'] = strip_tags( $message['content'] );
// Remove duplicate newlines
$message['content'] = preg_replace( '/[\\r\\n]{2,}/', "\n", $message['content'] );
// Remove all Gutenberg block comments
$message['content'] = preg_replace( '/<!--[^>]*-->/', '', $message['content'] );
// Count tokens
$tokens_total += $this->count_tokens( $message['content'] );
// Save the message
$args['messages'][ $k ]['content'] = $message['content'];
// Save the message to the contents array
$args['contents'][] = array(
'role' => empty( $message['role'] ) || $message['role'] == 'user' ? 'user' : 'model',
'parts' => array(
array(
'text' => $message['content']
)
)
);
}
// Remove messages
unset( $args['messages'] );
// Remove a system prompt
unset( $args['system_prompt'] );
// Limit the number of tokens
$args['max_tokens'] = max( 0, $args['max_tokens'] - $tokens_total );
// Limits a max_tokens with output_tokens (if specified)
$output_tokens = 0;
if ( ! empty( $args['model'] ) ) {
$output_tokens = self::get_output_tokens( $args['model'] );
if ( $output_tokens > 0 ) {
$args['max_tokens'] = min( $args['max_tokens'], $output_tokens );
}
}
// Add 'generationConfig' to the args
$args['generationConfig'] = array();
if ( ! empty( $output_tokens ) || ! empty( $args['max_tokens'] ) ) {
$args['generationConfig']['maxOutputTokens'] = ! empty( $output_tokens ) ? $output_tokens : $args['max_tokens'];
}
if ( ! empty( $args['temperature'] ) ) {
$args['generationConfig']['temperature'] = $args['temperature'];
unset( $args['temperature'] );
}
if ( ! empty( $args['top_p'] ) ) {
$args['generationConfig']['topP'] = $args['top_p'];
unset( $args['top_p'] );
}
if ( ! empty( $args['top_k'] ) ) {
$args['generationConfig']['topK'] = $args['top_k'];
unset( $args['top_k'] );
}
}
// Remove a prefix 'google-ai/' from the model name
if ( ! empty( $args['model'] ) ) {
$args['model'] = str_replace( 'google-ai/', '', $args['model'] );
}
return $args;
}
/**
* Calculate the number of tokens for the API
*
* @access private
*
* @param string $text Text to calculate
*
* @return int Number of tokens for the API
*/
private function count_tokens( $text ) {
$tokens = 0;
// Way 1: Get number of words and multiply by coefficient
// $words = count( explode( ' ', $text ) );
// $coeff = strpos( $text, '<!-- wp:' ) !== false ? $this->blocks_to_tokens_coeff : $this->words_to_tokens_coeff;
// $tokens = round( $words * $coeff );
// Way 2: Get number of tokens via utility function with tokenizer
// if ( ! function_exists( 'gpt_encode' ) ) {
// require_once TRX_ADDONS_PLUGIN_DIR . TRX_ADDONS_PLUGIN_ADDONS . 'ai-helper/vendors/gpt3-encoder/gpt3-encoder.php';
// }
// $tokens = count( (array) gpt_encode( $text ) );
// Way 3: Get number of tokens via class tokenizer (same algorithm)
$tokens = count( (array) \Rahul900day\Gpt3Encoder\Encoder::encode( $text ) );
return $tokens;
}
}