prompt = $prompt; $this->maxTokens = $maxTokens; $this->model = $model; $this->mode = "completion"; } // Quick and dirty token estimation function estimate_tokens( $text, $method = "max" ) { // method can be "average", "words", "chars", "max", "min", defaults to "max" // "average" is the average of words and chars // "words" is the word count divided by 0.75 // "chars" is the char count divided by 4 // "max" is the max of word and char // "min" is the min of word and char $word_count = count(explode(" ", $text)); $char_count = strlen($text); $tokens_count_word_est = $word_count / 0.75; $tokens_count_char_est = $char_count / 4.0; $output = 0; if ( $method == 'average' ) { $output = ($tokens_count_word_est + $tokens_count_char_est) / 2; } else if ( $method == 'words' ) { $output = $tokens_count_word_est; } else if ( $method == 'chars' ) { $output = $tokens_count_char_est; } else if ( $method == 'max') { $output = max($tokens_count_word_est, $tokens_count_char_est); } else if ( $method == 'min') { $output = min($tokens_count_word_est, $tokens_count_char_est); } else { // return invalid method message return "Invalid method. Use 'average', 'words', 'chars', 'max', or 'min'."; } return (int)$output; } /** * Make sure the maxTokens is not greater than the model's context length. */ private function validateMaxTokens() { $contains = strpos( $this->model, 'davinci' ) !== false; $realMax = $contains ? 4096 : 2048; $estimatedTokens = $this->estimate_tokens( $this->prompt ); $realMax = $realMax - $estimatedTokens - 32; if ( $this->maxTokens > $realMax ) { $this->maxTokens = $realMax; } } /** * Given a prompt, the model will return one or more predicted completions. * It can also return the probabilities of alternative tokens at each position. * @param string $prompt The prompt to generate completions. */ public function setPrompt( $prompt ) { parent::setPrompt( $prompt ); $this->validateMaxTokens(); } /** * The maximum number of tokens to generate in the completion. * The token count of your prompt plus max_tokens cannot exceed the model's context length. * Most models have a context length of 2048 tokens (except for the newest models, which support 4096). * @param float $prompt The maximum number of tokens. */ public function setMaxTokens( $maxTokens ) { $this->maxTokens = intval( $maxTokens ); $this->validateMaxTokens(); } /** * Set the sampling temperature to use. Higher values means the model will take more risks. * Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. * @param float $temperature The temperature. */ public function setTemperature( $temperature ) { $temperature = floatval( $temperature ); if ( $temperature > 1 ) { $temperature = 1; } if ( $temperature < 0 ) { $temperature = 0; } $this->temperature = $temperature; } /** * Up to 4 sequences where the API will stop generating further tokens. * The returned text will not contain the stop sequence. * @param float $stop The stop. */ public function setStop( $stop ) { if ( !empty( $stop ) ) { $this->stop = $stop; } } // Based on the params of the query, update the attributes public function injectParams( $params ) { if ( isset( $params['model'] ) ) { $this->setModel( $params['model'] ); } if ( isset( $params['maxTokens'] ) ) { $this->setMaxTokens( $params['maxTokens'] ); } if ( isset( $params['temperature'] ) ) { $this->setTemperature( $params['temperature'] ); } if ( isset( $params['stop'] ) ) { $this->setStop( $params['stop'] ); } if ( isset( $params['apiKey'] ) ) { $this->setApiKey( $params['apiKey'] ); } if ( isset( $params['maxResults'] ) ) { $this->setMaxResults( $params['maxResults'] ); } if ( isset( $params['env'] ) ) { $this->setEnv( $params['env'] ); } if ( isset( $params['session'] ) ) { $this->setSession( $params['session'] ); } } }