diff --git a/README.md b/README.md
index 4a2eff9..55d3a5c 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 Dette repoet er en eksperimentell sandkasse for å teste ut bruk av språkmodeller til å gjøre smarte søke i dokumenter. Innholdet her er en POC for å teste funksjonalitet og muligheter og er ikke ment for produksjon.
 
-Hovedprogrammet finnes i fila ```lmDocSearchUtils.js```. For å test så kan man kalle funksjonen(e) fra filen```index.js```
+Hovedprogrammet finnes i fila ```llmDocSearchUtils.js```. For å test så kan man kalle funksjonen(e) fra filen```index.js```
 
 Funksjonen(e) er bygget ved hjelp av rammeverket [langchain](https://js.langchain.com/docs/get_started/introduction) som er laget for å gjøre det enkelt å bruke språkmodeller. Koden i dette repoet bruker samme API som chatVTFK med egen datavatale. 
 
diff --git a/index.js b/index.js
index 555039b..4ed375e 100644
--- a/index.js
+++ b/index.js
@@ -1,5 +1,20 @@
-import { askDok } from "./llmDocSearchUtils.js";
+// import { askDok, askDokOpenAI } from "./utils/docChatUtilsLangchain.js";
+// import { askRag, showThread, createNewThread, runAssistant } from "./utils/docChatUtilsTemp.js";
+import { createSpeech, createNewThread, askDok } from "./utils/docChatUtilsOpenAI.js";
 
-// console.log(askDok("html", "https://snl.no/Vestfold_og_Telemark", "Finnes det noen stavkirker i fylket?"));
-console.log(askDok("md", "docs/delingsinfo.md", "Hvem er primærkontakter i Vestfold?"))
 
+const artikkel = "https://www.utdanningsnytt.no/eksamen-karakterer-kvalitetsvurderingssystem/utvalg-foreslar-a-avvikle-dagens-nasjonale-prover/380387"
+const spørsmål = "Hva er den kommunitative lov? Forklar på en enkel måte";
+
+
+// console.log(askDok("html", artikkel, spørsmål));
+// console.log(askDok("pdf", "./docs/MB_bm.pdf", spørsmål));
+
+// console.log(createNewThread());
+// console.log(askRag());
+// console.log(showThread());
+// console.log(runAssistant());
+// console.log(createSpeech(Hei hei.`));
+
+// console.log(createNewThread());
+console.log(await askDok("asst_PP9eODyAvv3Qtd7VJYTfmKEL", "thread_xGR6QNsAbB6LZIOBoHYoN6QE", "Punkt 2 var spennende. Kan du si mer om det?"))
diff --git a/speech.mp3 b/speech.mp3
new file mode 100644
index 0000000..e24366a
Binary files /dev/null and b/speech.mp3 differ
diff --git a/llmDocSearchUtils.js b/utils/docChatUtilsLangchain.js
similarity index 77%
rename from llmDocSearchUtils.js
rename to utils/docChatUtilsLangchain.js
index 0bd3729..4fbc78c 100644
--- a/llmDocSearchUtils.js
+++ b/utils/docChatUtilsLangchain.js
@@ -11,6 +11,8 @@ import { loadQAStuffChain } from "langchain/chains";
 import { HtmlToTextTransformer } from "langchain/document_transformers/html_to_text";
 import fs from "fs";
 
+import OpenAI from "openai";
+
 import dotenv from "dotenv";
 dotenv.config();
 
@@ -72,3 +74,31 @@ export const askDok = async (dokType, dokPath, question) => {
   console.log(res.text);
   return true;
 };
+
+
+export const askDokOpenAI = async () => {
+  
+  const openai = new OpenAI();
+  const completion = await openai.chat.completions.create({
+    messages: [{ role: "system", content: "Du er en hyggelig assistent. Du skal kun svare på spørsmål med utgangspunkt i vedlagte fil.." },{ role: "user", content: "Hva står om underveisvurdering?" }],
+    model: "gpt-3.5-turbo",
+  });
+
+  const myAssistant = await openai.beta.assistants.retrieve(
+    "asst_PP9eODyAvv3Qtd7VJYTfmKEL"
+  );
+
+  //const emptyThread = await openai.beta.threads.create();
+  //console.log(emptyThread);
+
+  const run = await openai.beta.threads.runs.create(
+    "thread_9IScPMsgbKKmGuBM0W78NWzy",
+    { assistant_id: "asst_PP9eODyAvv3Qtd7VJYTfmKEL", instructions: "Hva står om kompetansemål i vedlagte fil?" }
+  );
+
+    console.log(run);
+    console.log(completion.choices[0].message);
+  return true;
+}
+
+
diff --git a/utils/docChatUtilsOpenAI.js b/utils/docChatUtilsOpenAI.js
new file mode 100644
index 0000000..63bae6c
--- /dev/null
+++ b/utils/docChatUtilsOpenAI.js
@@ -0,0 +1,54 @@
+import OpenAI from "openai";
+import fs from "fs";
+import path from "path";
+import dotenv from "dotenv";
+dotenv.config();
+
+const openai = new OpenAI(process.env.OPENAI_API_KEY);
+const speechFile = path.resolve("./speech.mp3");
+
+export const createNewThread = async () => {
+  const thread = await openai.beta.threads.create();
+  console.log(thread);
+  return thread;
+};
+
+export const askDok = async (assistantID, threadID, prompt) => {
+  console.log(assistantID || process.env.ASSISTANT, threadID, prompt);
+  const message = await openai.beta.threads.messages.create(threadID, {
+    role: "user",
+    content: prompt,
+  });
+  const run = await openai.beta.threads.runs.create(threadID, {
+    assistant_id: assistantID,
+    instructions: "Svar på norsk.",
+  });
+
+  let response = new Promise((resolve, reject) => {
+    let intervalId = setInterval(async () => {
+      const updatedRun = await openai.beta.threads.runs.retrieve(
+        threadID,
+        run.id
+      ); // Replace with actual function to fetch updated run status
+      console.log("Waiting for completion: ", updatedRun.status);
+      if (updatedRun.status === "completed") {
+        clearInterval(intervalId);
+        resolve(await openai.beta.threads.messages.list(threadID).data[0].content[0].text.value);
+      }
+    }, 1000);
+  });
+  return response;
+};
+export const createSpeech = async (speech) => {
+  const mp3 = await openai.audio.speech.create({
+    model: "tts-1",
+    voice: "alloy",
+    input: speech,
+    voice: "shimmer",
+  });
+  console.log(speechFile);
+  const buffer = Buffer.from(await mp3.arrayBuffer());
+  await fs.promises.writeFile(speechFile, buffer);
+  // Her kan vi returnere noe
+  return true;
+};
diff --git a/utils/docChatUtilsTemp.js b/utils/docChatUtilsTemp.js
new file mode 100644
index 0000000..d79061a
--- /dev/null
+++ b/utils/docChatUtilsTemp.js
@@ -0,0 +1,44 @@
+import OpenAI from "openai";
+import dotenv from "dotenv";
+dotenv.config();
+
+const openai = new OpenAI();
+
+export const askRag = async () => {
+    const message = await openai.beta.threads.messages.create(
+        'thread_UQI9QX4rs0CHMJNwMVey6F0Z',
+        {
+          role: "user",
+          content: "Hvilke kjerneelementer er det?"
+        }
+      )
+    console.log(message.content);
+    return message
+}
+
+export const createNewThread = async () => {
+    const thread = await openai.beta.threads.create();
+    console.log(thread);
+    return thread;
+}
+
+export const showThread = async () => {
+    const threadMessages = await openai.beta.threads.messages.list('thread_UQI9QX4rs0CHMJNwMVey6F0Z')
+
+    for ( const m of threadMessages.data ) {
+        console.log(m.content);
+    } 
+    console.log(threadMessages);
+    return threadMessages;
+}
+
+export const runAssistant = async () => {
+    const run = await openai.beta.threads.runs.create(
+        'thread_UQI9QX4rs0CHMJNwMVey6F0Z',
+        { 
+          assistant_id: 'asst_PP9eODyAvv3Qtd7VJYTfmKEL',
+          instructions: "Svar på norsk."
+        }
+    )
+    console.log(run);
+    };
\ No newline at end of file