Patch LMStudio Inference server bug integration (#957)

docker/.env.example

@@ -27,6 +27,7 @@ GID='1000'
 
 # LLM_PROVIDER='lmstudio'
 # LMSTUDIO_BASE_PATH='http://your-server:1234/v1'
+# LMSTUDIO_MODEL_PREF='Loaded from Chat UI' # this is a bug in LMStudio 0.2.17
 # LMSTUDIO_MODEL_TOKEN_LIMIT=4096
 
 # LLM_PROVIDER='localai'

frontend/src/components/LLMSelection/LMStudioOptions/index.jsx

+import { useEffect, useState } from "react";
 import { Info } from "@phosphor-icons/react";
 import paths from "@/utils/paths";
+import System from "@/models/system";
 
 export default function LMStudioOptions({ settings, showAlert = false }) {
+  const [basePathValue, setBasePathValue] = useState(
+    settings?.LMStudioBasePath
+  );
+  const [basePath, setBasePath] = useState(settings?.LMStudioBasePath);
+
   return (
     <div className="w-full flex flex-col">
       {showAlert && (
@@ -35,8 +42,11 @@ export default function LMStudioOptions({ settings, showAlert = false }) {
             required={true}
             autoComplete="off"
             spellCheck={false}
+            onChange={(e) => setBasePathValue(e.target.value)}
+            onBlur={() => setBasePath(basePathValue)}
           />
         </div>
+        <LMStudioModelSelection settings={settings} basePath={basePath} />
         <div className="flex flex-col w-60">
           <label className="text-white text-sm font-semibold block mb-4">
             Token context window
@@ -57,3 +67,73 @@ export default function LMStudioOptions({ settings, showAlert = false }) {
     </div>
   );
 }
+
+function LMStudioModelSelection({ settings, basePath = null }) {
+  const [customModels, setCustomModels] = useState([]);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    async function findCustomModels() {
+      if (!basePath || !basePath.includes("/v1")) {
+        setCustomModels([]);
+        setLoading(false);
+        return;
+      }
+      setLoading(true);
+      const { models } = await System.customModels("lmstudio", null, basePath);
+      setCustomModels(models || []);
+      setLoading(false);
+    }
+    findCustomModels();
+  }, [basePath]);
+
+  if (loading || customModels.length == 0) {
+    return (
+      <div className="flex flex-col w-60">
+        <label className="text-white text-sm font-semibold block mb-4">
+          Chat Model Selection
+        </label>
+        <select
+          name="LMStudioModelPref"
+          disabled={true}
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        >
+          <option disabled={true} selected={true}>
+            {basePath?.includes("/v1")
+              ? "-- loading available models --"
+              : "-- waiting for URL --"}
+          </option>
+        </select>
+      </div>
+    );
+  }
+
+  return (
+    <div className="flex flex-col w-60">
+      <label className="text-white text-sm font-semibold block mb-4">
+        Chat Model Selection
+      </label>
+      <select
+        name="LMStudioModelPref"
+        required={true}
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+      >
+        {customModels.length > 0 && (
+          <optgroup label="Your loaded models">
+            {customModels.map((model) => {
+              return (
+                <option
+                  key={model.id}
+                  value={model.id}
+                  selected={settings.LMStudioModelPref === model.id}
+                >
+                  {model.id}
+                </option>
+              );
+            })}
+          </optgroup>
+        )}
+      </select>
+    </div>
+  );
+}

server/.env.example

@@ -24,6 +24,7 @@ JWT_SECRET="my-random-string-for-seeding" # Please generate random string at lea
 
 # LLM_PROVIDER='lmstudio'
 # LMSTUDIO_BASE_PATH='http://your-server:1234/v1'
+# LMSTUDIO_MODEL_PREF='Loaded from Chat UI' # this is a bug in LMStudio 0.2.17
 # LMSTUDIO_MODEL_TOKEN_LIMIT=4096
 
 # LLM_PROVIDER='localai'

server/models/systemSettings.js

@@ -137,6 +137,7 @@ const SystemSettings = {
         ? {
             LMStudioBasePath: process.env.LMSTUDIO_BASE_PATH,
             LMStudioTokenLimit: process.env.LMSTUDIO_MODEL_TOKEN_LIMIT,
+            LMStudioModelPref: process.env.LMSTUDIO_MODEL_PREF,
 
             // For embedding credentials when lmstudio is selected.
             OpenAiKey: !!process.env.OPEN_AI_KEY,

server/utils/AiProviders/lmStudio/index.js

@@ -12,9 +12,14 @@ class LMStudioLLM {
       basePath: process.env.LMSTUDIO_BASE_PATH?.replace(/\/+$/, ""), // here is the URL to your LMStudio instance
     });
     this.lmstudio = new OpenAIApi(config);
-    // When using LMStudios inference server - the model param is not required so
-    // we can stub it here. LMStudio can only run one model at a time.
-    this.model = "model-placeholder";
+
+    // Prior to LMStudio 0.2.17 the `model` param was not required and you could pass anything
+    // into that field and it would work. On 0.2.17 LMStudio introduced multi-model chat
+    // which now has a bug that reports the server model id as "Loaded from Chat UI"
+    // and any other value will crash inferencing. So until this is patched we will
+    // try to fetch the `/models` and have the user set it, or just fallback to "Loaded from Chat UI"
+    // which will not impact users with <v0.2.17 and should work as well once the bug is fixed.
+    this.model = process.env.LMSTUDIO_MODEL_PREF || "Loaded from Chat UI";
     this.limits = {
       history: this.promptWindowLimit() * 0.15,
       system: this.promptWindowLimit() * 0.15,

server/utils/helpers/customModels.js

@@ -10,6 +10,7 @@ const SUPPORT_CUSTOM_MODELS = [
   "mistral",
   "perplexity",
   "openrouter",
+  "lmstudio",
 ];
 
 async function getCustomModels(provider = "", apiKey = null, basePath = null) {
@@ -33,6 +34,8 @@ async function getCustomModels(provider = "", apiKey = null, basePath = null) {
       return await getPerplexityModels();
     case "openrouter":
       return await getOpenRouterModels();
+    case "lmstudio":
+      return await getLMStudioModels(basePath);
     default:
       return { models: [], error: "Invalid provider for custom models" };
   }
@@ -81,6 +84,28 @@ async function localAIModels(basePath = null, apiKey = null) {
   return { models, error: null };
 }
 
+async function getLMStudioModels(basePath = null) {
+  try {
+    const { Configuration, OpenAIApi } = require("openai");
+    const config = new Configuration({
+      basePath: basePath || process.env.LMSTUDIO_BASE_PATH,
+    });
+    const openai = new OpenAIApi(config);
+    const models = await openai
+      .listModels()
+      .then((res) => res.data.data)
+      .catch((e) => {
+        console.error(`LMStudio:listModels`, e.message);
+        return [];
+      });
+
+    return { models, error: null };
+  } catch (e) {
+    console.error(`LMStudio:getLMStudioModels`, e.message);
+    return { models: [], error: "Could not fetch LMStudio Models" };
+  }
+}
+
 async function ollamaAIModels(basePath = null) {
   let url;
   try {

server/utils/helpers/updateENV.js

@@ -59,6 +59,10 @@ const KEY_MAPPING = {
     envKey: "LMSTUDIO_BASE_PATH",
     checks: [isNotEmpty, validLLMExternalBasePath, validDockerizedUrl],
   },
+  LMStudioModelPref: {
+    envKey: "LMSTUDIO_MODEL_PREF",
+    checks: [],
+  },
   LMStudioTokenLimit: {
     envKey: "LMSTUDIO_MODEL_TOKEN_LIMIT",
     checks: [nonZero],