prompt = $prompt; $this->maxTokens = $maxTokens; $this->model = $model; } /** * ID of the model to use. * @param string $model ID of the model to use. */ public function setModel( $model ) { $this->model = $model; } /** * 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 = $maxTokens; } /** * 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; } } }