remove gpt-4 hard code in call to ai

README.md

@@ -3,7 +3,7 @@
 This is a fork of the core essay question type which can use the ChatGPT Large language model to give automatic feedback and marking for submitted responses.
 
 
-It requires either a paid for ChatGPT api account which will give access to ChatGPT4 or Ollama hosted Large Language Model. Accounts are available from https://platform.openai.com, Ollama is available from https://github.com/ollama/ollama. It depends on the Moodle aiconnect tool which is available from 
+It requires either a paid for ChatGPT api account which will give access to ChatGPT4 or Ollama hosted Large Language Model. Accounts are available from https://platform.openai.com, Ollama is available from https://github.com/ollama/ollama. It depends on the Moodle aiconnect tool which is available from
 
 https://github.com/marcusgreen/moodle-tool_aiconnect
 
@@ -22,6 +22,8 @@ images in the question display may not work. It will only work with the immediat
 ## Roadmap
 ~~Support other LLM systems. Supporting a self hosted LLM will ensure data sovereignty~~ done
 
+Moderation: Do not show ai feedback until previewed and approved by a teache
+
 Cron based evaluation. Allow for slow LLM systems by marking on a cron timer
 
 Allow it to work with other question behaviour types such as Interactive with multiple tries.

question.php

@@ -134,7 +134,7 @@ public function apply_attempt_state(question_attempt_step $step) {
      * @return void
      */
     public function grade_response(array $response) : array {
-        $ai = new ai\ai('gpt-4');
+        $ai = new ai\ai();
         if (is_array($response)) {
             $prompt = 'in [[' . strip_tags($response['answer']) . ']]';
             $prompt .= ' analyse the part between [[ and ]] as follows: ';
@@ -156,7 +156,7 @@ public function grade_response(array $response) : array {
         $contentobject->feedback = preg_replace(array('/\[\[/', '/\]\]/'), '"', $contentobject->feedback);
 
         $contentobject->feedback .= ' '.$this->llm_translate(get_config('qtype_aitext', 'disclaimer'));
-
+        xdebug_break();
         // If there are no marks, write the feedback and set to needs grading .
         if (is_null($contentobject->marks)) {
             $grade = [0 => 0, question_state::$needsgrading];