-

examples/reasoning-openai.php

@@ -17,17 +17,23 @@
     exit(1);
 }
 
+
+if (empty($_ENV['RUN_EXPENSIVE_EXAMPLES']) || false === filter_var($_ENV['RUN_EXPENSIVE_EXAMPLES'], FILTER_VALIDATE_BOOLEAN)) {
+    echo 'This example is marked as expensive and will not run unless RUN_EXPENSIVE_EXAMPLES is set to true.'.PHP_EOL;
+    exit(1);
+}
+
 $platform = new OpenAI(HttpClient::create(), $_ENV['OPENAI_API_KEY']);
 $llm = new Gpt($platform, Version::o1Preview());
 
 $prompt = <<<PROMPT
-    I want to build a Symfony app in PHP 8.2 that takes user questions and looks them
-    up in a database where they are mapped to answers. If there is close match, it
-    retrieves the matched answer. If there isn't, it asks the user to provide an answer
-    and stores the question/answer pair in the database. Make a plan for the directory 
-    structure you'll need, then return each file in full. Only supply your reasoning 
-    at the beginning and end, not throughout the code.
-    PROMPT;
+I want to build a Symfony app in PHP 8.2 that takes user questions and looks them
+up in a database where they are mapped to answers. If there is close match, it
+retrieves the matched answer. If there isn't, it asks the user to provide an answer
+and stores the question/answer pair in the database. Make a plan for the directory 
+structure you'll need, then return each file in full. Only supply your reasoning 
+at the beginning and end, not throughout the code.
+PROMPT;
 
 $response = (new Chain($llm))->call(new MessageBag(Message::ofUser($prompt)));
 

examples/structured-output-math.php

@@ -23,11 +23,6 @@
     exit(1);
 }
 
-if (empty($_ENV['RUN_EXPENSIVE_EXAMPLES']) || false === filter_var($_ENV['RUN_EXPENSIVE_EXAMPLES'], FILTER_VALIDATE_BOOLEAN)) {
-    echo 'This example is marked as expensive and will not run unless RUN_EXPENSIVE_EXAMPLES is set to true.'.PHP_EOL;
-    exit(1);
-}
-
 $platform = new OpenAI(HttpClient::create(), $_ENV['OPENAI_API_KEY']);
 $llm = new Gpt($platform, Version::gpt4oMini());
 $serializer = new Serializer([new ObjectNormalizer()], [new JsonEncoder()]);