Copasetic Flow

  Just a quick note that the AI tutored Project TouCans exams are up and running for the latest US technician class question pool for the license exam.  The exam sprang out of two different projects here at the home QTH. KO6BTY is studying for her extra class license. Also, I'm learning about developing code with AI. And voila: AI tutored ham radio practice exams. Try the AI-tutored Technician Class practice exam now. Project TouCans technician class practice exams . Read more about this project: First  demo  of OpenAI ChatKit enabled exams First release of extra class exam based on OpenAI responses API Removing the vector store  to reduce costs Experiences with Vector Stores Early debug to add contexts by local compute and storage First release of extra class exam  with no AI

  Extra Class Practice Exam Free AI enabled (no key required) exams are now available: extra tech Get ready for the FCC Extra Class license exam with this free online ham radio practice test. Our interactive exam tool uses the official FCC Element 4 Question Pool (valid July 2024–2028) and automatically tracks your performance. See your score history, review stacked bar charts of correct vs wrong answers by subelement, and drill down into specific group stats with a single click. This version of the exam is identical to the first release with a single exception. This version has an AI help facility. To see a demo of how to us it, please see this post and associated video. To use the AI features, you'll need to have your own OpenAI API key. You'll input that in a dialog that is not visible to anyone but your browser. One of the points of these exam practice pages was to demonstrate that they could be deployed without needing server-side code, and they don't. This is the f...

 Debug notes from getting the AI help feature of the free ham radio exams to work today. Grabbing a text answer from OpenAI still works: That's from this method async function retrieveTextWithFileSearch ({ system , user }) {   const vsId = localStorage . getItem ( 'vector_store_id' );   if (! vsId ) throw new Error ( 'No vector_store_id found.' );   answText = answText + " " + user ;   const resp = await openai ( '/responses' , {     body : {       model : 'gpt-4.1-mini' ,       input : [         { role : 'system' , content : system },         { role : 'user' ,   content : answText }       ],       tools : [{ type : 'file_search' , vector_store_ids : [ vsId ] }]     }   }); With the agent  flow, it doesn't work async function retrieveTextWithAgent ({ system , user }) {   // 0) Make sure we have ...