updated token limits and model to be more modern

manifest.json

@@ -1,7 +1,7 @@
 {
   "manifest_version": 2,
   "name": "SpaceLLama",
-  "version": "1.4",
+  "version": "1.5",
   "description": "Summarize web pages using Ollama. Supports custom models, token limits, system prompts, chunking, and more. See https://github.com/tcsenpai/spacellama for more information.",
   "permissions": ["activeTab", "storage", "<all_urls>", "tabs"],
   "browser_action": {

options/options.html

@@ -23,11 +23,16 @@
         </div>
         <div class="form-group">
           <label for="model">OLLAMA Model:</label>
-          <input type="text" id="model" placeholder="llama2" />
+          <input type="text" id="model" placeholder="llama3.1:latest" />
         </div>
         <div class="form-group">
           <label for="token-limit">Token Limit:</label>
-          <input type="number" id="token-limit" min="1000" step="1000" placeholder="4096" />
+          <input
+            type="number"
+            id="token-limit"
+            min="1024"
+            placeholder="16384"
+          />
         </div>
         <button type="submit" class="btn btn-primary">Save Settings</button>
         <div class="form-group">

options/options.js

@@ -1,5 +1,10 @@
-let browser = (typeof chrome !== 'undefined') ? chrome : (typeof browser !== 'undefined') ? browser : null;
+let browser =
- 
+  typeof chrome !== "undefined"
+    ? chrome
+    : typeof browser !== "undefined"
+    ? browser
+    : null;
+
 async function validateEndpoint(endpoint) {
   try {
     const response = await fetch(`${endpoint}/api/tags`);
@@ -25,7 +30,7 @@ async function updateTokenLimit() {
     if (model in modelTokens) {
       tokenLimitInput.value = modelTokens[model];
     } else {
-      tokenLimitInput.value = 4000; // Default value, modified from 4096 to meet even requirement
+      tokenLimitInput.value = 16384; // Default value
     }
   } catch (error) {
     console.error("Error updating token limit:", error.message || error);
@@ -34,7 +39,7 @@ async function updateTokenLimit() {
 
 async function loadModelTokens() {
   try {
-    const response = await fetch(browser.runtime.getURL('model_tokens.json'));
+    const response = await fetch(browser.runtime.getURL("model_tokens.json"));
     return await response.json();
   } catch (error) {
     console.error("Error loading model tokens:", error.message || error);
@@ -47,7 +52,7 @@ async function saveOptions(e) {
   const model = document.getElementById("model").value;
   const systemPrompt = document.getElementById("system-prompt").value;
   const status = document.getElementById("status");
-  const tokenLimit = document.getElementById("token-limit").value || 4096;
+  const tokenLimit = document.getElementById("token-limit").value || 16384;
   // Ensure the endpoint doesn't end with /api/generate
   const cleanEndpoint = endpoint.replace(/\/api\/generate\/?$/, "");
   status.textContent = "Validating endpoint...";
@@ -67,7 +72,7 @@ async function saveOptions(e) {
       }, 2000);
     } else {
       status.textContent =
-      "Invalid endpoint. Please check the URL and try again.";
+        "Invalid endpoint. Please check the URL and try again.";
     }
   } catch (error) {
     console.error("Error saving options:", error.message || error);
@@ -76,33 +81,40 @@ async function saveOptions(e) {
 }
 
 function restoreOptions() {
-  browser.storage.local.get({
+  browser.storage.local.get(
-    ollamaEndpoint: "http://localhost:11434",
+    {
-    ollamaModel: "llama2",
+      ollamaEndpoint: "http://localhost:11434",
-    systemPrompt: "You are a helpful AI assistant. Summarize the given text concisely.",
+      ollamaModel: "llama3.1:latest",
-    tokenLimit: 4096
+      systemPrompt:
-  }, function(result) {
+        "You are a helpful AI assistant. Summarize the given text concisely.",
-    document.getElementById("endpoint").value = result.ollamaEndpoint || "http://localhost:11434";
+      tokenLimit: 16384,
-    document.getElementById("model").value = result.ollamaModel || "llama2";
+    },
-    document.getElementById("system-prompt").value = result.systemPrompt || "You are a helpful AI assistant. Summarize the given text concisely.";
+    function (result) {
+      document.getElementById("endpoint").value =
+        result.ollamaEndpoint || "http://localhost:11434";
+      document.getElementById("model").value =
+        result.ollamaModel || "llama3.1:latest";
+      document.getElementById("system-prompt").value =
+        result.systemPrompt ||
+        "You are a helpful AI assistant. Summarize the given text concisely.";
 
-    // Call to updateTokenLimit remains async
+      // Call to updateTokenLimit remains async
-    updateTokenLimit().then(() => {
+      updateTokenLimit().then(() => {
-      validateEndpoint(result.ollamaEndpoint).then(isValid => {
+        validateEndpoint(result.ollamaEndpoint).then((isValid) => {
-        updateEndpointStatus(isValid);
+          updateEndpointStatus(isValid);
+        });
       });
-    });
+    }
-  });
+  );
 }
 
-
 document.addEventListener("DOMContentLoaded", restoreOptions);
 document
   .getElementById("settings-form")
   .addEventListener("submit", saveOptions);
 document.getElementById("endpoint").addEventListener("blur", async (e) => {
-const isValid = await validateEndpoint(e.target.value);
+  const isValid = await validateEndpoint(e.target.value);
-updateEndpointStatus(isValid);
+  updateEndpointStatus(isValid);
 
-document.getElementById("model").addEventListener("change", updateTokenLimit);
+  document.getElementById("model").addEventListener("change", updateTokenLimit);
-});
+});