diff --git a/app/api/lmstudio/route.ts b/app/api/lmstudio/route.ts
new file mode 100644
index 0000000..3f81a73
--- /dev/null
+++ b/app/api/lmstudio/route.ts
@@ -0,0 +1,259 @@
+// Proxy for LM Studio API — avoids CORS issues by routing through Next.js server
+// Includes agentic tool loop: streams LM Studio responses, executes tool calls
+// server-side, feeds results back, and continues until the model is done.
+import { NextRequest } from "next/server";
+import { TOOL_DEFINITIONS, executeTool } from "./tools";
+
+const MAX_TOOL_ROUNDS = 5;
+
+// GET /api/lmstudio?url=<baseUrl>&path=<apiPath>&apiKey=<optional>
+// Proxies GET requests (e.g. /v1/models)
+export async function GET(req: NextRequest) {
+  const { searchParams } = req.nextUrl;
+  const baseUrl = searchParams.get("url");
+  const path = searchParams.get("path") || "/v1/models";
+  const apiKey = searchParams.get("apiKey");
+
+  if (!baseUrl) {
+    return Response.json({ error: "Missing url parameter" }, { status: 400 });
+  }
+
+  const target = `${baseUrl.replace(/\/$/, "")}${path}`;
+  const headers: Record<string, string> = {};
+  if (apiKey) headers["Authorization"] = `Bearer ${apiKey}`;
+
+  try {
+    const res = await fetch(target, { headers });
+    const data = await res.json();
+    return Response.json(data, { status: res.status });
+  } catch (err) {
+    return Response.json(
+      { error: (err as Error).message || "Failed to reach LM Studio" },
+      { status: 502 }
+    );
+  }
+}
+
+// ── SSE stream helpers ───────────────────────────────────────────────────────
+
+interface ToolCallAccum {
+  id: string;
+  name: string;
+  args: string;
+}
+
+interface StreamResult {
+  finishReason: string | null;
+  toolCalls: ToolCallAccum[];
+}
+
+// Consume an SSE stream from LM Studio, forwarding chunks to the client writer
+// and collecting any tool calls.
+async function consumeStream(
+  upstream: Response,
+  writer: WritableStreamDefaultWriter<Uint8Array>,
+  encoder: TextEncoder
+): Promise<StreamResult> {
+  const reader = upstream.body!.getReader();
+  const decoder = new TextDecoder();
+  let buffer = "";
+  const toolCalls = new Map<number, ToolCallAccum>();
+  let finishReason: string | null = null;
+
+  while (true) {
+    const { done, value } = await reader.read();
+    if (done) break;
+
+    buffer += decoder.decode(value, { stream: true });
+    const lines = buffer.split("\n");
+    buffer = lines.pop() || "";
+
+    for (const line of lines) {
+      const trimmed = line.trim();
+      if (!trimmed.startsWith("data: ")) continue;
+      const data = trimmed.slice(6);
+      if (data === "[DONE]") continue;
+
+      try {
+        const chunk = JSON.parse(data);
+        const choice = chunk.choices?.[0];
+        if (!choice) continue;
+        const delta = choice.delta;
+
+        // Collect tool calls
+        if (delta?.tool_calls) {
+          for (const tc of delta.tool_calls) {
+            const idx = tc.index ?? 0;
+            if (!toolCalls.has(idx)) {
+              toolCalls.set(idx, { id: "", name: "", args: "" });
+            }
+            const entry = toolCalls.get(idx)!;
+            if (tc.id) entry.id = tc.id;
+            if (tc.function?.name) entry.name += tc.function.name;
+            if (tc.function?.arguments) entry.args += tc.function.arguments;
+          }
+        }
+
+        if (choice.finish_reason) {
+          finishReason = choice.finish_reason;
+        }
+      } catch {
+        // skip malformed
+      }
+
+      // Forward all SSE lines to the client as-is
+      await writer.write(encoder.encode(trimmed + "\n\n"));
+    }
+  }
+
+  return { finishReason, toolCalls: Array.from(toolCalls.values()) };
+}
+
+// POST /api/lmstudio — proxies chat completions with SSE streaming + tool loop
+export async function POST(req: NextRequest) {
+  const body = await req.json();
+  const { _proxyUrl, _proxyApiKey, _enableTools, ...rest } = body;
+
+  if (!_proxyUrl) {
+    return Response.json({ error: "Missing _proxyUrl in body" }, { status: 400 });
+  }
+
+  const target = `${(_proxyUrl as string).replace(/\/$/, "")}/v1/chat/completions`;
+  const headers: Record<string, string> = { "Content-Type": "application/json" };
+  if (_proxyApiKey) headers["Authorization"] = `Bearer ${_proxyApiKey}`;
+
+  // Inject tool definitions if enabled
+  if (_enableTools && !rest.tools) {
+    rest.tools = TOOL_DEFINITIONS;
+    rest.tool_choice = "auto";
+  }
+
+  const encoder = new TextEncoder();
+
+  const stream = new ReadableStream({
+    async start(controller) {
+      const writer = {
+        write: async (chunk: Uint8Array) => controller.enqueue(chunk),
+      } as WritableStreamDefaultWriter<Uint8Array>;
+
+      let messages = [...(rest.messages || [])];
+      let round = 0;
+
+      try {
+        while (round < MAX_TOOL_ROUNDS) {
+          round++;
+          const upstream = await fetch(target, {
+            method: "POST",
+            headers,
+            body: JSON.stringify({ ...rest, messages }),
+          });
+
+          if (!upstream.ok) {
+            const errText = await upstream.text().catch(() => `HTTP ${upstream.status}`);
+            controller.enqueue(
+              encoder.encode(`data: ${JSON.stringify({ error: errText })}\n\n`)
+            );
+            break;
+          }
+
+          if (!upstream.body) {
+            controller.enqueue(
+              encoder.encode(`data: ${JSON.stringify({ error: "No response body" })}\n\n`)
+            );
+            break;
+          }
+
+          const { finishReason, toolCalls } = await consumeStream(
+            upstream,
+            writer,
+            encoder
+          );
+
+          // If the model didn't request tool calls, we're done
+          if (finishReason !== "tool_calls" || toolCalls.length === 0) {
+            break;
+          }
+
+          // Build the assistant message with tool_calls for the conversation
+          const assistantMsg: Record<string, unknown> = {
+            role: "assistant",
+            content: null,
+            tool_calls: toolCalls.map((tc, i) => ({
+              id: tc.id || `call_${i}`,
+              type: "function",
+              function: { name: tc.name, arguments: tc.args },
+            })),
+          };
+          messages.push(assistantMsg);
+
+          // Execute each tool call and add results
+          for (const tc of toolCalls) {
+            // Notify client that we're executing a tool
+            const toolStatusEvent = {
+              choices: [
+                {
+                  delta: {
+                    tool_execution: {
+                      name: tc.name,
+                      args: tc.args,
+                      status: "running",
+                      call_id: tc.id,
+                    },
+                  },
+                },
+              ],
+            };
+            controller.enqueue(
+              encoder.encode(`data: ${JSON.stringify(toolStatusEvent)}\n\n`)
+            );
+
+            const result = await executeTool(tc.name, tc.args);
+
+            // Notify client of tool result
+            const toolResultEvent = {
+              choices: [
+                {
+                  delta: {
+                    tool_execution: {
+                      name: tc.name,
+                      status: "done",
+                      call_id: tc.id,
+                      result,
+                    },
+                  },
+                },
+              ],
+            };
+            controller.enqueue(
+              encoder.encode(`data: ${JSON.stringify(toolResultEvent)}\n\n`)
+            );
+
+            messages.push({
+              role: "tool",
+              tool_call_id: tc.id || `call_${toolCalls.indexOf(tc)}`,
+              content: result,
+            });
+          }
+
+          // Continue the loop — next iteration sends updated messages back to LM Studio
+        }
+      } catch (err) {
+        const errMsg = (err as Error).message || "Unknown error";
+        controller.enqueue(
+          encoder.encode(`data: ${JSON.stringify({ error: errMsg })}\n\n`)
+        );
+      }
+
+      controller.enqueue(encoder.encode("data: [DONE]\n\n"));
+      controller.close();
+    },
+  });
+
+  return new Response(stream, {
+    headers: {
+      "Content-Type": "text/event-stream",
+      "Cache-Control": "no-cache",
+      Connection: "keep-alive",
+    },
+  });
+}
diff --git a/app/api/lmstudio/tools.ts b/app/api/lmstudio/tools.ts
new file mode 100644
index 0000000..23d0ff0
--- /dev/null
+++ b/app/api/lmstudio/tools.ts
@@ -0,0 +1,208 @@
+// Server-side implementations of LM Studio's built-in tools
+// Mirrors the danielsig/duckduckgo and danielsig/visit-website plugins
+
+// ── Tool definitions (OpenAI function calling format) ────────────────────────
+
+export const TOOL_DEFINITIONS = [
+  {
+    type: "function" as const,
+    function: {
+      name: "Web_Search",
+      description:
+        "Search for web pages on DuckDuckGo using a query string and return a list of URLs.",
+      parameters: {
+        type: "object",
+        properties: {
+          query: { type: "string", description: "The search query for finding web pages" },
+          pageSize: {
+            type: "number",
+            description: "Number of web results per page (1-10, default 5)",
+          },
+        },
+        required: ["query"],
+      },
+    },
+  },
+  {
+    type: "function" as const,
+    function: {
+      name: "Image_Search",
+      description:
+        "Search for images on DuckDuckGo using a query string and return a list of image URLs.",
+      parameters: {
+        type: "object",
+        properties: {
+          query: { type: "string", description: "The search query for finding images" },
+          pageSize: {
+            type: "number",
+            description: "Number of image results per page (1-10, default 5)",
+          },
+        },
+        required: ["query"],
+      },
+    },
+  },
+  {
+    type: "function" as const,
+    function: {
+      name: "Visit_Website",
+      description:
+        "Visit a website and return its title, headings, links, and text content.",
+      parameters: {
+        type: "object",
+        properties: {
+          url: { type: "string", description: "The URL of the website to visit" },
+          contentLimit: {
+            type: "number",
+            description: "Maximum text content length (default 2000)",
+          },
+        },
+        required: ["url"],
+      },
+    },
+  },
+];
+
+// ── Spoof headers to avoid bot detection ─────────────────────────────────────
+
+function spoofHeaders(referer?: string): Record<string, string> {
+  const h: Record<string, string> = {
+    "User-Agent":
+      "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+    Accept: "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+    "Accept-Language": "en-US,en;q=0.9",
+  };
+  if (referer) h["Referer"] = referer;
+  return h;
+}
+
+// ── Tool implementations ─────────────────────────────────────────────────────
+
+async function webSearch(args: { query: string; pageSize?: number }): Promise<string> {
+  const pageSize = Math.min(Math.max(args.pageSize || 5, 1), 10);
+  const url = new URL("https://duckduckgo.com/html/");
+  url.searchParams.append("q", args.query);
+
+  const res = await fetch(url.toString(), { method: "GET", headers: spoofHeaders() });
+  if (!res.ok) return `Error: Failed to fetch search results: ${res.statusText}`;
+
+  const html = await res.text();
+  const links: [string, string][] = [];
+  const regex = /\shref="[^"]*(https?[^?&"]+)[^>]*>([^<]*)/gm;
+  let match;
+  while (links.length < pageSize && (match = regex.exec(html))) {
+    const label = match[2].replace(/\s+/g, " ").trim();
+    const href = decodeURIComponent(match[1]);
+    if (!links.some(([, u]) => u === href)) links.push([label, href]);
+  }
+
+  if (links.length === 0) return "No web pages found for the query.";
+  return JSON.stringify({ links, count: links.length });
+}
+
+async function imageSearch(args: { query: string; pageSize?: number }): Promise<string> {
+  const pageSize = Math.min(Math.max(args.pageSize || 5, 1), 10);
+  const url = new URL("https://duckduckgo.com/");
+  url.searchParams.append("q", args.query);
+  url.searchParams.append("iax", "images");
+  url.searchParams.append("ia", "images");
+
+  const res = await fetch(url.toString(), { method: "GET", headers: spoofHeaders() });
+  if (!res.ok) return `Error: Failed to fetch image results: ${res.statusText}`;
+
+  const html = await res.text();
+  // Extract vqd token for image API
+  const vqdMatch = html.match(/vqd=['"]([^'"]+)['"]/);
+  if (!vqdMatch) return "Error: Could not extract search token for images.";
+
+  const imgUrl = new URL("https://duckduckgo.com/i.js");
+  imgUrl.searchParams.append("q", args.query);
+  imgUrl.searchParams.append("vqd", vqdMatch[1]);
+  imgUrl.searchParams.append("o", "json");
+
+  const imgRes = await fetch(imgUrl.toString(), {
+    headers: spoofHeaders("https://duckduckgo.com/"),
+  });
+  if (!imgRes.ok) return "Error: Failed to fetch image results.";
+
+  const data = await imgRes.json();
+  const images = (data.results || []).slice(0, pageSize).map((r: { title: string; image: string }) => ({
+    title: r.title,
+    url: r.image,
+  }));
+
+  if (images.length === 0) return "No images found for the query.";
+  return JSON.stringify({ images, count: images.length });
+}
+
+async function visitWebsite(args: { url: string; contentLimit?: number }): Promise<string> {
+  const contentLimit = args.contentLimit || 2000;
+
+  const res = await fetch(args.url, { method: "GET", headers: spoofHeaders() });
+  if (!res.ok) return `Error: Failed to visit website: ${res.statusText}`;
+
+  const html = await res.text();
+
+  // Extract title
+  const title = html.match(/<title[^>]*>([^<]*)<\/title>/i)?.[1]?.trim() || "";
+
+  // Extract headings
+  const headings: string[] = [];
+  const hRegex = /<h[1-3][^>]*>([^<]*)<\/h[1-3]>/gi;
+  let hMatch;
+  while (headings.length < 10 && (hMatch = hRegex.exec(html))) {
+    const text = hMatch[1].trim();
+    if (text) headings.push(text);
+  }
+
+  // Extract text content (strip tags, collapse whitespace)
+  const bodyMatch = html.match(/<body[^>]*>([\s\S]*)<\/body>/i);
+  let textContent = bodyMatch?.[1] || html;
+  textContent = textContent
+    .replace(/<script[\s\S]*?<\/script>/gi, "")
+    .replace(/<style[\s\S]*?<\/style>/gi, "")
+    .replace(/<[^>]+>/g, " ")
+    .replace(/\s+/g, " ")
+    .trim()
+    .slice(0, contentLimit);
+
+  // Extract links
+  const links: [string, string][] = [];
+  const linkRegex = /<a\s+[^>]*href="([^"]+)"[^>]*>([^<]*)<\/a>/gi;
+  let lMatch;
+  while (links.length < 20 && (lMatch = linkRegex.exec(html))) {
+    const href = lMatch[1];
+    const label = lMatch[2].trim();
+    if (href.startsWith("http") && label) links.push([label, href]);
+  }
+
+  return JSON.stringify({ title, headings, textContent, links: links.slice(0, 20) });
+}
+
+// ── Execute a tool call by name ──────────────────────────────────────────────
+
+export async function executeTool(
+  name: string,
+  argsJson: string
+): Promise<string> {
+  let args: Record<string, unknown>;
+  try {
+    args = JSON.parse(argsJson);
+  } catch {
+    return `Error: Invalid JSON arguments: ${argsJson}`;
+  }
+
+  switch (name) {
+    case "Web_Search":
+    case "Web Search":
+      return webSearch(args as { query: string; pageSize?: number });
+    case "Image_Search":
+    case "Image Search":
+      return imageSearch(args as { query: string; pageSize?: number });
+    case "Visit_Website":
+    case "Visit Website":
+      return visitWebsite(args as { url: string; contentLimit?: number });
+    default:
+      return `Error: Unknown tool "${name}"`;
+  }
+}
diff --git a/app/page.tsx b/app/page.tsx
index 6006d1b..98608f8 100644
--- a/app/page.tsx
+++ b/app/page.tsx
@@ -6,6 +6,7 @@ import { useState, useRef, useEffect, useCallback } from "react";
 import { useWebSocket, type WebSocketMessage } from "@/lib/useWebSocket";
 import { getToolDisplay } from "@/lib/toolDisplay";
 import { DEMO_HISTORY, createDemoHandler, type DemoCallbacks } from "@/lib/demoMode";
+import { fetchLmStudioModels, createLmStudioHandler, type LmStudioConfig, type LmStudioCallbacks, type LmStudioModel } from "@/lib/lmStudio";
 
 // ── Types ────────────────────────────────────────────────────────────────────
 
@@ -106,6 +107,14 @@ interface WSHello {
 
 type WSIncomingMessage = WSResponse | WSEvent | WSHello;
 
+type BackendMode = "openclaw" | "lmstudio" | "demo";
+
+interface ConnectionConfig {
+  mode: BackendMode;
+  url: string;
+  token?: string;
+  model?: string;
+}
 
 function getTextFromContent(content: ContentPart[] | string | null): string {
   if (!content) return "";
@@ -596,17 +605,49 @@ function MessageRow({ message, isStreaming }: { message: Message; isStreaming: b
 
   const isUser = message.role === "user";
 
+  // Build interleaved thinking + tool_call parts from content array (preserves chronological order)
+  // Filter out thinking parts that are empty/whitespace-only (can happen from <think> tag residue)
+  const interleavedParts = Array.isArray(message.content)
+    ? (message.content as ContentPart[]).filter((p) =>
+        (p.type === "thinking" && p.text?.trim()) || p.type === "tool_call" || p.type === "toolCall"
+      )
+    : [];
+  const hasThinkingParts = interleavedParts.some((p) => p.type === "thinking");
+
   return (
     <div className={`flex gap-3 ${isUser ? "flex-row-reverse" : ""}`}>
       <div className={`max-w-[85%] md:max-w-[75%] min-w-0 ${isUser ? "rounded-2xl rounded-br-md bg-primary px-4 py-2.5 text-primary-foreground" : "flex flex-col gap-1.5"}`}>
-        {message.reasoning && (
-          <details className="w-fit max-w-full rounded-lg border border-border bg-secondary">
-            <summary className="cursor-pointer px-3 py-1.5 text-xs font-medium text-muted-foreground whitespace-nowrap">
-              <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className="inline-block opacity-50 mr-1.5 align-[-1px]"><path d="M12 2a5 5 0 0 1 4.7 3.2A4 4 0 0 1 20 9c0 1.5-.8 2.8-2 3.5v0A4 4 0 0 1 16 20H8a4 4 0 0 1-2-7.5A4 4 0 0 1 4 9a4 4 0 0 1 3.3-3.9A5 5 0 0 1 12 2z" /><path d="M12 2v20" /></svg>
-              {thinkingPreview(message.reasoning)}
-            </summary>
-            <p className="px-3 pb-2 text-xs leading-relaxed text-muted-foreground whitespace-pre-wrap break-words overflow-hidden">{message.reasoning}</p>
-          </details>
+        {hasThinkingParts ? (
+          // Render interleaved thinking pills and tool call pills in content order
+          interleavedParts.map((part, i) =>
+            part.type === "thinking" && part.text ? (
+              <details key={`thinking-${i}`} className="w-fit max-w-full rounded-lg border border-border bg-secondary">
+                <summary className="cursor-pointer px-3 py-1.5 text-xs font-medium text-muted-foreground whitespace-nowrap">
+                  <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className="inline-block opacity-50 mr-1.5 align-[-1px]"><path d="M12 2a5 5 0 0 1 4.7 3.2A4 4 0 0 1 20 9c0 1.5-.8 2.8-2 3.5v0A4 4 0 0 1 16 20H8a4 4 0 0 1-2-7.5A4 4 0 0 1 4 9a4 4 0 0 1 3.3-3.9A5 5 0 0 1 12 2z" /><path d="M12 2v20" /></svg>
+                  {thinkingPreview(part.text)}
+                </summary>
+                <p className="px-3 pb-2 text-xs leading-relaxed text-muted-foreground whitespace-pre-wrap break-words overflow-hidden">{part.text}</p>
+              </details>
+            ) : (part.type === "tool_call" || part.type === "toolCall") ? (
+              <ToolCallPill key={`${part.name}-${i}`} name={part.name || "tool"} args={typeof part.arguments === "string" ? part.arguments : part.arguments ? JSON.stringify(part.arguments) : undefined} status={part.status as "running" | "success" | "error" | undefined} result={part.result} resultError={part.resultError} />
+            ) : null
+          )
+        ) : (
+          // Fallback: legacy rendering for OpenClaw/demo messages using message.reasoning
+          <>
+            {message.reasoning && (
+              <details className="w-fit max-w-full rounded-lg border border-border bg-secondary">
+                <summary className="cursor-pointer px-3 py-1.5 text-xs font-medium text-muted-foreground whitespace-nowrap">
+                  <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className="inline-block opacity-50 mr-1.5 align-[-1px]"><path d="M12 2a5 5 0 0 1 4.7 3.2A4 4 0 0 1 20 9c0 1.5-.8 2.8-2 3.5v0A4 4 0 0 1 16 20H8a4 4 0 0 1-2-7.5A4 4 0 0 1 4 9a4 4 0 0 1 3.3-3.9A5 5 0 0 1 12 2z" /><path d="M12 2v20" /></svg>
+                  {thinkingPreview(message.reasoning)}
+                </summary>
+                <p className="px-3 pb-2 text-xs leading-relaxed text-muted-foreground whitespace-pre-wrap break-words overflow-hidden">{message.reasoning}</p>
+              </details>
+            )}
+            {toolCalls.map((tc, i) => (
+              <ToolCallPill key={`${tc.name}-${i}`} name={tc.name || "tool"} args={typeof tc.arguments === "string" ? tc.arguments : tc.arguments ? JSON.stringify(tc.arguments) : undefined} status={tc.status as "running" | "success" | "error" | undefined} result={tc.result} resultError={tc.resultError} />
+            ))}
+          </>
         )}
         {isUser ? (
           <>
@@ -790,7 +831,7 @@ function CommandSheet({
     <>
       {/* Backdrop */}
       <div
-        className={`fixed inset-0 z-40 bg-foreground/10 backdrop-blur-sm transition-opacity duration-200 ${open ? "opacity-100" : "pointer-events-none opacity-0"}`}
+        className={`fixed inset-0 z-40 bg-foreground/10 backdrop-blur-sm transition-[opacity,visibility] duration-200 ${open ? "visible opacity-100" : "invisible opacity-0 pointer-events-none"}`}
         onClick={onClose}
         onMouseDown={onClose}
         role="button"
@@ -804,7 +845,7 @@ function CommandSheet({
         role="dialog"
         aria-modal="true"
         aria-label="Commands"
-        className={`fixed inset-x-0 bottom-0 z-50 flex max-h-[70dvh] flex-col rounded-t-2xl border-t border-border bg-background shadow-lg transition-transform duration-300 ease-out ${open ? "translate-y-0" : "pointer-events-none translate-y-full"}`}
+        className={`fixed inset-x-0 bottom-0 z-50 flex max-h-[70dvh] flex-col rounded-t-2xl border-t border-border bg-background shadow-lg transition-[transform,visibility] duration-300 ease-out ${open ? "visible translate-y-0" : "invisible translate-y-full pointer-events-none"}`}
       >
         {/* Handle */}
         <div className="flex justify-center pt-3 pb-1">
@@ -1109,14 +1150,21 @@ function SetupDialog({
   connectionError,
   isDemoMode,
 }: {
-  onConnect: (url: string, token?: string) => void;
+  onConnect: (config: ConnectionConfig) => void;
   visible: boolean;
   connectionState?: "connecting" | "connected" | "disconnected" | "error";
   connectionError?: string | null;
   isDemoMode?: boolean;
 }) {
+  const [mode, setMode] = useState<"openclaw" | "lmstudio">("openclaw");
   const [url, setUrl] = useState("ws://127.0.0.1:18789");
   const [token, setToken] = useState("");
+  const [lmsUrl, setLmsUrl] = useState("http://127.0.0.1:1234");
+  const [lmsApiKey, setLmsApiKey] = useState("");
+  const [lmsModel, setLmsModel] = useState("");
+  const [lmsModels, setLmsModels] = useState<LmStudioModel[]>([]);
+  const [lmsModelLoading, setLmsModelLoading] = useState(false);
+  const [lmsModelError, setLmsModelError] = useState("");
   const [error, setError] = useState("");
   const [phase, setPhase] = useState<"idle" | "entering" | "open" | "closing" | "closed">("idle");
   const inputRef = useRef<HTMLInputElement>(null);
@@ -1125,11 +1173,20 @@ function SetupDialog({
   useEffect(() => {
     if (visible && (phase === "closed" || phase === "idle")) {
       // Pre-fill from localStorage if available
+      const savedMode = window.localStorage.getItem("mobileclaw-mode") as "openclaw" | "lmstudio" | null;
+      if (savedMode === "openclaw" || savedMode === "lmstudio") setMode(savedMode);
       const savedUrl = window.localStorage.getItem("openclaw-url");
       const savedToken = window.localStorage.getItem("openclaw-token");
       if (savedUrl) setUrl(savedUrl);
       if (savedToken) setToken(savedToken);
+      const savedLmsUrl = window.localStorage.getItem("lmstudio-url");
+      const savedLmsApiKey = window.localStorage.getItem("lmstudio-apikey");
+      const savedLmsModel = window.localStorage.getItem("lmstudio-model");
+      if (savedLmsUrl) setLmsUrl(savedLmsUrl);
+      if (savedLmsApiKey) setLmsApiKey(savedLmsApiKey);
+      if (savedLmsModel) setLmsModel(savedLmsModel);
       setError("");
+      setLmsModelError("");
       requestAnimationFrame(() => {
         setPhase("entering");
         requestAnimationFrame(() => setPhase("open"));
@@ -1148,23 +1205,72 @@ function SetupDialog({
     }
   }, [phase]);
 
+  // Fetch LM Studio models when URL changes and mode is lmstudio
+  const fetchModels = useCallback(async (baseUrl: string, apiKey?: string) => {
+    const trimmed = baseUrl.trim();
+    if (!trimmed) return;
+    setLmsModelLoading(true);
+    setLmsModelError("");
+    try {
+      const models = await fetchLmStudioModels(trimmed, apiKey || undefined);
+      setLmsModels(models);
+      // Auto-select first model if none selected
+      if (models.length > 0 && !lmsModel) {
+        setLmsModel(models[0].id);
+      }
+    } catch (err) {
+      setLmsModelError((err as Error).message || "Cannot reach server");
+      setLmsModels([]);
+    } finally {
+      setLmsModelLoading(false);
+    }
+  }, [lmsModel]);
+
   const handleSubmit = () => {
-    const trimmed = url.trim();
-    // Allow empty URL for mock mode
-    if (trimmed) {
+    if (mode === "openclaw") {
+      const trimmed = url.trim();
+      // Allow empty URL for mock mode
+      if (trimmed) {
+        try {
+          new URL(trimmed);
+        } catch {
+          setError("Please enter a valid URL or leave empty for demo mode");
+          return;
+        }
+      }
+      setError("");
+      setPhase("closing");
+      setTimeout(() => {
+        setPhase("closed");
+        if (!trimmed) {
+          onConnect({ mode: "demo", url: "" });
+        } else {
+          onConnect({ mode: "openclaw", url: trimmed, token: token.trim() || undefined });
+        }
+      }, 500);
+    } else {
+      const trimmed = lmsUrl.trim();
+      if (!trimmed) {
+        setError("Please enter the LM Studio server URL");
+        return;
+      }
       try {
         new URL(trimmed);
       } catch {
-        setError("Please enter a valid URL or leave empty for mock mode");
+        setError("Please enter a valid URL");
         return;
       }
+      if (!lmsModel) {
+        setError("Please select a model");
+        return;
+      }
+      setError("");
+      setPhase("closing");
+      setTimeout(() => {
+        setPhase("closed");
+        onConnect({ mode: "lmstudio", url: trimmed, token: lmsApiKey.trim() || undefined, model: lmsModel });
+      }, 500);
     }
-    setError("");
-    setPhase("closing");
-    setTimeout(() => {
-      setPhase("closed");
-      onConnect(trimmed, token.trim() || undefined);
-    }, 500);
   };
 
   if (phase === "closed" || (!visible && phase === "idle")) return null;
@@ -1210,57 +1316,174 @@ function SetupDialog({
               boxShadow: isClosing ? "0 0 20px oklch(0.55 0 0 / 0.15)" : "none",
             }}
           >
-            <svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" className="text-foreground">
-              <path d="M12 8V4H8" /><rect width="16" height="12" x="4" y="8" rx="2" /><path d="M2 14h2" /><path d="M20 14h2" /><path d="M15 13v2" /><path d="M9 13v2" />
-            </svg>
+            {mode === "lmstudio" ? (
+              <svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" className="text-foreground">
+                <rect width="18" height="18" x="3" y="3" rx="2" /><path d="M7 8h10" /><path d="M7 12h10" /><path d="M7 16h6" />
+              </svg>
+            ) : (
+              <svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" className="text-foreground">
+                <path d="M12 8V4H8" /><rect width="16" height="12" x="4" y="8" rx="2" /><path d="M2 14h2" /><path d="M20 14h2" /><path d="M15 13v2" /><path d="M9 13v2" />
+              </svg>
+            )}
           </div>
         </div>
 
         <h2 className="mb-1 text-center text-lg font-semibold text-foreground">Connect to MobileClaw</h2>
-        <p className="mb-5 text-center text-sm text-muted-foreground">
-          {isDemoMode
-            ? "Demo environment — no server needed. Carry on."
-            : "Enter server URL (https:// or http://) or leave empty for mock mode."}
+        <p className="mb-4 text-center text-sm text-muted-foreground">
+          Choose a backend and configure your connection.
         </p>
 
-        {/* URL input */}
-        <div className="mb-4">
-          <label htmlFor="openclaw-url" className="mb-1.5 block text-xs font-medium text-muted-foreground">
-            Server URL
-          </label>
-          <input
-            ref={inputRef}
-            id="openclaw-url"
-            type="url"
-            value={isDemoMode ? "" : url}
-            onChange={(e) => { setUrl(e.target.value); setError(""); }}
-            onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
-            placeholder={isDemoMode ? "Not needed in demo mode" : "ws://127.0.0.1:18789"}
-            disabled={isConnecting || isDemoMode}
-            className={`w-full rounded-xl border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50 ${error || connectionError ? "border-destructive" : "border-border"}`}
-          />
-          {error && <p className="mt-1.5 text-xs text-destructive">{error}</p>}
-          {connectionError && <p className="mt-1.5 text-xs text-destructive">{connectionError}</p>}
+        {/* Mode selector — segmented control */}
+        <div className="mb-4 flex rounded-xl border border-border bg-secondary p-0.5">
+          <button
+            type="button"
+            onClick={() => { setMode("openclaw"); setError(""); }}
+            className={`flex-1 rounded-[10px] py-1.5 text-xs font-medium transition-all duration-200 ${mode === "openclaw" ? "bg-card text-foreground shadow-sm" : "text-muted-foreground hover:text-foreground"}`}
+          >
+            OpenClaw
+          </button>
+          <button
+            type="button"
+            onClick={() => { setMode("lmstudio"); setError(""); }}
+            className={`flex-1 rounded-[10px] py-1.5 text-xs font-medium transition-all duration-200 ${mode === "lmstudio" ? "bg-card text-foreground shadow-sm" : "text-muted-foreground hover:text-foreground"}`}
+          >
+            LM Studio
+          </button>
         </div>
 
-        {/* Token input */}
-        <div className="mb-4">
-          <label htmlFor="openclaw-token" className="mb-1.5 block text-xs font-medium text-muted-foreground">
-            Gateway Token <span className="text-muted-foreground/60">(optional)</span>
-          </label>
-          <input
-            id="openclaw-token"
-            type="password"
-            value={isDemoMode ? "" : token}
-            onChange={(e) => setToken(e.target.value)}
-            onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
-            placeholder={isDemoMode ? "Not needed in demo mode" : "Enter gateway auth token"}
-            disabled={isConnecting || isDemoMode}
-            className="w-full rounded-xl border border-border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50"
-          />
-        </div>
+        {mode === "openclaw" ? (
+          <>
+            {/* URL input */}
+            <div className="mb-4">
+              <label htmlFor="openclaw-url" className="mb-1.5 block text-xs font-medium text-muted-foreground">
+                Server URL
+              </label>
+              <input
+                ref={inputRef}
+                id="openclaw-url"
+                type="url"
+                value={url}
+                onChange={(e) => { setUrl(e.target.value); setError(""); }}
+                onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
+                placeholder="ws://127.0.0.1:18789"
+                disabled={isConnecting}
+                className={`w-full rounded-xl border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50 ${error || connectionError ? "border-destructive" : "border-border"}`}
+              />
+            </div>
+
+            {/* Token input — hidden when URL is empty (demo mode) */}
+            {url.trim() && (
+              <div className="mb-4">
+                <label htmlFor="openclaw-token" className="mb-1.5 block text-xs font-medium text-muted-foreground">
+                  Gateway Token <span className="text-muted-foreground/60">(optional)</span>
+                </label>
+                <input
+                  id="openclaw-token"
+                  type="password"
+                  value={token}
+                  onChange={(e) => setToken(e.target.value)}
+                  onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
+                  placeholder="Enter gateway auth token"
+                  disabled={isConnecting}
+                  className="w-full rounded-xl border border-border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50"
+                />
+              </div>
+            )}
+          </>
+        ) : (
+          <>
+            {/* LM Studio URL */}
+            <div className="mb-4">
+              <label htmlFor="lmstudio-url" className="mb-1.5 block text-xs font-medium text-muted-foreground">
+                LM Studio URL
+              </label>
+              <div className="flex gap-2">
+                <input
+                  ref={inputRef}
+                  id="lmstudio-url"
+                  type="url"
+                  value={lmsUrl}
+                  onChange={(e) => { setLmsUrl(e.target.value); setError(""); setLmsModelError(""); }}
+                  onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
+                  placeholder="http://127.0.0.1:1234"
+                  disabled={isConnecting}
+                  className={`flex-1 rounded-xl border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50 ${error || connectionError || lmsModelError ? "border-destructive" : "border-border"}`}
+                />
+                <button
+                  type="button"
+                  onClick={() => fetchModels(lmsUrl, lmsApiKey)}
+                  disabled={lmsModelLoading || !lmsUrl.trim()}
+                  className="shrink-0 rounded-xl border border-border bg-secondary px-3 py-2.5 text-xs font-medium text-foreground transition-colors hover:bg-accent disabled:opacity-50 flex items-center gap-1.5"
+                >
+                  {lmsModelLoading ? (
+                    <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" className="animate-spin">
+                      <path d="M21 12a9 9 0 1 1-6.219-8.56" />
+                    </svg>
+                  ) : (
+                    <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
+                      <path d="M21 12a9 9 0 0 0-9-9 9.75 9.75 0 0 0-6.74 2.74L3 8" /><path d="M3 3v5h5" /><path d="M3 12a9 9 0 0 0 9 9 9.75 9.75 0 0 0 6.74-2.74L21 16" /><path d="M16 16h5v5" />
+                    </svg>
+                  )}
+                  Fetch
+                </button>
+              </div>
+              {lmsModelError && <p className="mt-1.5 text-xs text-destructive">{lmsModelError}</p>}
+            </div>
+
+            {/* API Key (optional) */}
+            <div className="mb-4">
+              <label htmlFor="lmstudio-apikey" className="mb-1.5 block text-xs font-medium text-muted-foreground">
+                API Key <span className="text-muted-foreground/60">(optional)</span>
+              </label>
+              <input
+                id="lmstudio-apikey"
+                type="password"
+                value={lmsApiKey}
+                onChange={(e) => setLmsApiKey(e.target.value)}
+                onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
+                placeholder="lm-studio or leave empty"
+                disabled={isConnecting}
+                className="w-full rounded-xl border border-border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50"
+              />
+            </div>
 
-        {/* Connect / Close button */}
+            {/* Model selector */}
+            <div className="mb-4">
+              <label htmlFor="lmstudio-model" className="mb-1.5 block text-xs font-medium text-muted-foreground">
+                Model
+              </label>
+              {lmsModels.length > 0 ? (
+                <select
+                  id="lmstudio-model"
+                  value={lmsModel}
+                  onChange={(e) => setLmsModel(e.target.value)}
+                  disabled={isConnecting}
+                  className="w-full rounded-xl border border-border bg-background px-4 py-2.5 font-mono text-sm text-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50 appearance-none"
+                >
+                  {lmsModels.map((m) => (
+                    <option key={m.id} value={m.id}>{m.id}</option>
+                  ))}
+                </select>
+              ) : (
+                <input
+                  id="lmstudio-model"
+                  type="text"
+                  value={lmsModel}
+                  onChange={(e) => { setLmsModel(e.target.value); setError(""); }}
+                  onKeyDown={(e) => { if (e.key === "Enter") handleSubmit(); }}
+                  placeholder="Click Fetch or type model name"
+                  disabled={isConnecting}
+                  className={`w-full rounded-xl border bg-background px-4 py-2.5 font-mono text-sm text-foreground placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring disabled:opacity-50 ${error ? "border-destructive" : "border-border"}`}
+                />
+              )}
+            </div>
+          </>
+        )}
+
+        {error && <p className="mb-3 text-xs text-destructive">{error}</p>}
+        {connectionError && <p className="mb-3 text-xs text-destructive">{connectionError}</p>}
+
+        {/* Connect button */}
         <button
           type="button"
           onClick={isDemoMode ? () => { setPhase("closing"); setTimeout(() => setPhase("closed"), 500); } : handleSubmit}
@@ -1274,18 +1497,16 @@ function SetupDialog({
               </svg>
               Connecting...
             </>
-          ) : isDemoMode ? (
-            "Close"
-          ) : url.trim() ? (
-            "Connect"
-          ) : (
+          ) : mode === "openclaw" && !url.trim() ? (
             "Start Demo"
+          ) : (
+            "Connect"
           )}
         </button>
 
-        {!isDemoMode && (
+        {mode === "openclaw" && (
           <p className="mt-3 text-center text-[11px] text-muted-foreground/60">
-            Leave empty to use mock mode without a server
+            Leave empty to use demo mode without a server
           </p>
         )}
       </div>
@@ -1329,6 +1550,11 @@ export default function Home() {
   const [isDemoMode, setIsDemoMode] = useState(false);
   const demoHandlerRef = useRef<ReturnType<typeof createDemoHandler> | null>(null);
 
+  // Backend mode: openclaw (WebSocket), lmstudio (HTTP+SSE), or demo
+  const [backendMode, setBackendMode] = useState<BackendMode>("openclaw");
+  const lmStudioConfigRef = useRef<LmStudioConfig | null>(null);
+  const lmStudioHandlerRef = useRef<ReturnType<typeof createLmStudioHandler> | null>(null);
+
   // Track active run for streaming
   const activeRunIdRef = useRef<string | null>(null);
   const sendWSMessageRef = useRef<((message: WebSocketMessage) => boolean) | null>(null);
@@ -1754,6 +1980,7 @@ export default function Home() {
     const params = new URLSearchParams(window.location.search);
     if (params.has("demo")) {
       setIsDemoMode(true);
+      setBackendMode("demo");
       setMessages(DEMO_HISTORY);
       setCurrentModel("demo/openclaw-preview");
       setShowSetup(false);
@@ -1832,6 +2059,101 @@ export default function Home() {
     demoHandlerRef.current = createDemoHandler(callbacks);
   }, [isDemoMode]);
 
+  // LM Studio mode: create handler with callbacks
+  useEffect(() => {
+    if (backendMode !== "lmstudio" || !lmStudioConfigRef.current) {
+      lmStudioHandlerRef.current = null;
+      return;
+    }
+    const config = lmStudioConfigRef.current;
+    const callbacks: LmStudioCallbacks = {
+      onStreamStart: (runId) => {
+        setIsStreaming(true);
+        setStreamingId(runId);
+        setMessages((prev) => [
+          ...prev,
+          { role: "assistant", content: [], id: runId, timestamp: Date.now() },
+        ]);
+      },
+      onThinking: (runId, text, segment) => {
+        setMessages((prev) => {
+          const idx = prev.findIndex((m) => m.id === runId);
+          if (idx < 0) return prev;
+          const target = prev[idx];
+          const parts = Array.isArray(target.content) ? [...target.content] : [];
+          // Find the thinking part for this segment
+          let segIdx = 0;
+          const thinkPartIdx = parts.findIndex((p) => {
+            if (p.type === "thinking") {
+              if (segIdx === segment) return true;
+              segIdx++;
+            }
+            return false;
+          });
+          if (thinkPartIdx >= 0) {
+            parts[thinkPartIdx] = { ...parts[thinkPartIdx], text };
+          } else {
+            // Always push at end — onTextDelta will move text part to end on next update
+            parts.push({ type: "thinking", text });
+          }
+          return [...prev.slice(0, idx), { ...target, content: parts }, ...prev.slice(idx + 1)];
+        });
+      },
+      onTextDelta: (runId, _delta, fullText) => {
+        setMessages((prev) => {
+          const idx = prev.findIndex((m) => m.id === runId);
+          if (idx < 0) return prev;
+          const target = prev[idx];
+          // Preserve existing non-text parts (tool_call, thinking), update only the text part
+          const existingParts = Array.isArray(target.content) ? target.content.filter((p: ContentPart) => p.type !== "text") : [];
+          return [
+            ...prev.slice(0, idx),
+            { ...target, content: [...existingParts, { type: "text", text: fullText }] },
+            ...prev.slice(idx + 1),
+          ];
+        });
+      },
+      onToolStart: (runId, name, args) => {
+        setMessages((prev) => {
+          const idx = prev.findIndex((m) => m.id === runId);
+          if (idx < 0) return prev;
+          const target = prev[idx];
+          const parts = Array.isArray(target.content) ? target.content : [];
+          return [
+            ...prev.slice(0, idx),
+            { ...target, content: [...parts, { type: "tool_call", name, arguments: args, status: "running" as const }] },
+            ...prev.slice(idx + 1),
+          ];
+        });
+      },
+      onToolEnd: (runId, name, result, isError) => {
+        setMessages((prev) => {
+          const idx = prev.findIndex((m) => m.id === runId);
+          if (idx < 0) return prev;
+          const target = prev[idx];
+          if (!Array.isArray(target.content)) return prev;
+          const updated = target.content.map((p: ContentPart) =>
+            p.type === "tool_call" && p.name === name && p.status === "running"
+              ? { ...p, status: (isError ? "error" : "success") as "error" | "success", result: result || undefined, resultError: isError }
+              : p
+          );
+          return [...prev.slice(0, idx), { ...target, content: updated }, ...prev.slice(idx + 1)];
+        });
+      },
+      onStreamEnd: (runId) => {
+        setIsStreaming(false);
+        setStreamingId(null);
+      },
+      onError: (runId, error) => {
+        setConnectionError(error);
+      },
+    };
+    // Use currentModel so the handler is recreated when the model changes
+    const activeConfig = { ...config, model: currentModel || config.model };
+    lmStudioConfigRef.current = activeConfig;
+    lmStudioHandlerRef.current = createLmStudioHandler(activeConfig, callbacks);
+  }, [backendMode, currentModel]);
+
   // Track scroll position — continuous CSS var for animations, React state only for pointer-events phase
   const handleScroll = useCallback(() => {
     if (scrollRafId.current != null) return;
@@ -1888,14 +2210,24 @@ export default function Home() {
     refreshStartRef.current = Date.now();
     // Hold at a small offset to show spinner — bounce back happens when history arrives
     setPullTransform(40, true);
-    // Re-fetch history
+    // LM Studio and demo modes have no server-side history — just bounce back
+    if (backendMode === "lmstudio" || backendMode === "demo") {
+      setTimeout(() => {
+        requestAnimationFrame(() => {
+          setPullTransform(0, true);
+          setRefreshing(false);
+        });
+      }, 300);
+      return;
+    }
+    // Re-fetch history (OpenClaw)
     sendWSMessageRef.current?.({
       type: "req",
       id: `history-${Date.now()}`,
       method: "chat.history",
       params: { sessionKey: sessionKeyRef.current },
     } as unknown as WebSocketMessage);
-  }, [setPullTransform]);
+  }, [setPullTransform, backendMode]);
 
   // Pull-up-to-refresh touch handlers — direct DOM transforms, no React re-renders
 
@@ -1986,54 +2318,100 @@ export default function Home() {
   useEffect(() => {
     // Skip auto-connect in demo mode (check URL params directly to avoid race with state)
     if (isDemoMode) return;
-    if (typeof window !== "undefined" && new URLSearchParams(window.location.search).has("demo")) return;
-    const saved = window.localStorage.getItem("openclaw-url");
-    const savedToken = window.localStorage.getItem("openclaw-token");
-    if (savedToken) gatewayTokenRef.current = savedToken;
-    // Only auto-connect if there's actually a saved URL
-    if (saved) {
-      setOpenclawUrl(saved);
-      let wsUrl = saved;
-      if (!saved.startsWith("ws://") && !saved.startsWith("wss://")) {
-        wsUrl = saved.replace(/^http:\/\//, "ws://").replace(/^https:\/\//, "wss://");
+    const savedMode = window.localStorage.getItem("mobileclaw-mode") as BackendMode | null;
+
+    if (savedMode === "lmstudio") {
+      const savedUrl = window.localStorage.getItem("lmstudio-url");
+      const savedApiKey = window.localStorage.getItem("lmstudio-apikey");
+      const savedModel = window.localStorage.getItem("lmstudio-model");
+      if (savedUrl && savedModel) {
+        setBackendMode("lmstudio");
+        const config: LmStudioConfig = { baseUrl: savedUrl, apiKey: savedApiKey || undefined, model: savedModel };
+        lmStudioConfigRef.current = config;
+        setCurrentModel(savedModel);
+        setOpenclawUrl(savedUrl);
+      } else {
+        setShowSetup(true);
       }
-      connect(wsUrl);
     } else {
-      // No saved config — show setup dialog
-      setShowSetup(true);
+      const saved = window.localStorage.getItem("openclaw-url");
+      const savedToken = window.localStorage.getItem("openclaw-token");
+      if (savedToken) gatewayTokenRef.current = savedToken;
+      if (saved) {
+        setBackendMode("openclaw");
+        setOpenclawUrl(saved);
+        let wsUrl = saved;
+        if (!saved.startsWith("ws://") && !saved.startsWith("wss://")) {
+          wsUrl = saved.replace(/^http:\/\//, "ws://").replace(/^https:\/\//, "wss://");
+        }
+        connect(wsUrl);
+      } else {
+        setShowSetup(true);
+      }
     }
   }, [connect, isDemoMode]);
 
-  const handleConnect = useCallback((url: string, token?: string) => {
-    window.localStorage.setItem("openclaw-url", url);
-    if (token) window.localStorage.setItem("openclaw-token", token);
-    gatewayTokenRef.current = token ?? null;
-    setOpenclawUrl(url);
+  const handleConnect = useCallback((config: ConnectionConfig) => {
     setConnectionError(null);
-    if (!url) {
-      // Empty URL — enter demo mode
+    setMessages([]);
+
+    if (config.mode === "demo") {
+      window.localStorage.setItem("mobileclaw-mode", "demo");
+      window.localStorage.removeItem("openclaw-url");
+      setBackendMode("demo");
       setIsDemoMode(true);
       setMessages(DEMO_HISTORY);
       setCurrentModel("demo/openclaw-preview");
       return;
     }
-    // If URL starts with ws:// or wss://, use it directly
-    // Otherwise, convert http:// to ws:// and https:// to wss://
-    let wsUrl = url;
-    if (!url.startsWith("ws://") && !url.startsWith("wss://")) {
-      wsUrl = url.replace(/^http:\/\//, "ws://").replace(/^https:\/\//, "wss://");
+
+    if (config.mode === "lmstudio") {
+      window.localStorage.setItem("mobileclaw-mode", "lmstudio");
+      window.localStorage.setItem("lmstudio-url", config.url);
+      if (config.token) window.localStorage.setItem("lmstudio-apikey", config.token);
+      else window.localStorage.removeItem("lmstudio-apikey");
+      if (config.model) window.localStorage.setItem("lmstudio-model", config.model);
+      setBackendMode("lmstudio");
+      setIsDemoMode(false);
+      const lmsConfig: LmStudioConfig = { baseUrl: config.url, apiKey: config.token, model: config.model! };
+      lmStudioConfigRef.current = lmsConfig;
+      setCurrentModel(config.model || null);
+      setOpenclawUrl(config.url);
+      // Disconnect any existing WebSocket
+      disconnect();
+      return;
+    }
+
+    // OpenClaw mode
+    window.localStorage.setItem("mobileclaw-mode", "openclaw");
+    window.localStorage.setItem("openclaw-url", config.url);
+    if (config.token) window.localStorage.setItem("openclaw-token", config.token);
+    gatewayTokenRef.current = config.token ?? null;
+    setBackendMode("openclaw");
+    setIsDemoMode(false);
+    lmStudioConfigRef.current = null;
+    lmStudioHandlerRef.current = null;
+    setOpenclawUrl(config.url);
+    let wsUrl = config.url;
+    if (!config.url.startsWith("ws://") && !config.url.startsWith("wss://")) {
+      wsUrl = config.url.replace(/^http:\/\//, "ws://").replace(/^https:\/\//, "wss://");
     }
     connect(wsUrl);
-  }, [connect]);
+  }, [connect, disconnect]);
 
   const handleDisconnect = useCallback(() => {
     disconnect();
+    lmStudioHandlerRef.current?.stop();
+    lmStudioHandlerRef.current = null;
+    lmStudioConfigRef.current = null;
     window.localStorage.removeItem("openclaw-url");
+    window.localStorage.removeItem("mobileclaw-mode");
     setOpenclawUrl(null);
     setMessages([]);
     setIsStreaming(false);
     setStreamingId(null);
     setConnectionError(null);
+    setBackendMode("openclaw");
   }, [disconnect]);
 
   // Auto-scroll: on non-streaming message changes (history load, new user message), scroll to bottom
@@ -2099,11 +2477,25 @@ export default function Home() {
     setMessages((prev) => [...prev, userMsg]);
 
     // Demo mode — route through local handler
-    if (isDemoMode) {
+    if (isDemoMode || backendMode === "demo") {
       demoHandlerRef.current?.sendMessage(text);
       return;
     }
 
+    // LM Studio mode — route through HTTP+SSE handler
+    if (backendMode === "lmstudio") {
+      // Send the full conversation history (including the new user message) to LM Studio
+      setMessages((prev) => {
+        // Use a microtask to send after state is updated
+        Promise.resolve().then(() => {
+          lmStudioHandlerRef.current?.sendMessage(prev);
+        });
+        return prev;
+      });
+      return;
+    }
+
+    // OpenClaw mode — WebSocket
     if (!isConnected) return;
 
     // Generate idempotency key for this run
@@ -2124,7 +2516,7 @@ export default function Home() {
     sendWSMessageRef.current?.(requestMsg as unknown as WebSocketMessage);
 
     setIsStreaming(true);
-  }, [isConnected, isDemoMode]);
+  }, [isConnected, isDemoMode, backendMode]);
 
   const handleCommandSelect = useCallback((command: string) => {
     setPendingCommand(command);
@@ -2139,9 +2531,9 @@ export default function Home() {
     <div ref={appRef} className="flex flex-col overflow-hidden bg-background" style={{ height: "100dvh" }}>
       {/* Setup dialog */}
       <SetupDialog
-        onConnect={(url, token) => {
+        onConnect={(config) => {
           setShowSetup(false);
-          handleConnect(url, token);
+          handleConnect(config);
         }}
         visible={showSetup}
         connectionState={connectionState}
@@ -2181,11 +2573,16 @@ export default function Home() {
           )}
         </div>
         <div className="flex shrink-0 items-center gap-1.5">
-          {isDemoMode ? (
+          {isDemoMode || backendMode === "demo" ? (
             <>
               <span className="h-2 w-2 rounded-full bg-blue-500" />
               <span className="text-[11px] text-muted-foreground">Demo</span>
             </>
+          ) : backendMode === "lmstudio" ? (
+            <>
+              <span className="h-2 w-2 rounded-full bg-green-500" />
+              <span className="text-[11px] text-muted-foreground">LM Studio</span>
+            </>
           ) : (
             <>
               <span className={`h-2 w-2 rounded-full ${
diff --git a/docs/2026-02-08_lm-studio-integration.md b/docs/2026-02-08_lm-studio-integration.md
new file mode 100644
index 0000000..802cb5c
--- /dev/null
+++ b/docs/2026-02-08_lm-studio-integration.md
@@ -0,0 +1,119 @@
+# LM Studio Integration Session — 2026-02-08
+
+## Summary
+
+Added full LM Studio backend support to MobileClaw, including CORS proxying, thinking block parsing, server-side tool execution, and production deployment via Tailscale.
+
+## What was done
+
+### 1. Branch setup & remote cleanup
+
+- Fetched the `claude/add-lm-studio-support-dOooD` branch from the `mobileclaw` remote
+- Removed the old `origin` (v0-mobileclaw) and renamed `mobileclaw` to `origin`
+- Checked out the branch and verified it builds
+
+### 2. CORS proxy (`app/api/lmstudio/route.ts`)
+
+The browser can't call LM Studio directly due to CORS. Created a Next.js API route that proxies requests:
+
+- **GET** `/api/lmstudio?url=<baseUrl>&path=<apiPath>` — proxies model listing
+- **POST** `/api/lmstudio` — proxies chat completions with SSE streaming
+
+Updated `lib/lmStudio.ts` to route all requests through `/api/lmstudio` instead of hitting LM Studio directly.
+
+### 3. Thinking block parsing (`<think>` tags)
+
+Qwen3 and similar models output reasoning inside `<think>...</think>` tags in the content stream (rather than using the `reasoning_content` field). Added a streaming parser in `lib/lmStudio.ts` that:
+
+- Detects `<think>` and `</think>` tags across chunk boundaries
+- Routes thinking content to `onThinking` callback (renders in collapsible reasoning UI)
+- Routes regular content to `onTextDelta` callback
+- Handles partial tag matches at chunk boundaries via `partialTagSuffix()` helper
+
+### 4. Model switching fix
+
+The `useEffect` that creates the LM Studio handler only depended on `[backendMode]`. Changing the model in settings updated the config ref but didn't recreate the handler. Fixed by adding `currentModel` to the dependency array.
+
+### 5. Server-side tool execution (`app/api/lmstudio/tools.ts`)
+
+LM Studio's built-in chat UI has DuckDuckGo and web browsing tools (via `danielsig/duckduckgo` and `danielsig/visit-website` plugins). These don't execute when using the API directly. Implemented server-side equivalents:
+
+**Tool definitions** (injected into the `tools` array of chat completion requests):
+- `Web_Search` — DuckDuckGo web search, returns ranked links
+- `Image_Search` — DuckDuckGo image search
+- `Visit_Website` — fetches a URL, extracts title/headings/links/text
+
+**Agentic loop** in the proxy route:
+1. Sends request to LM Studio with tool definitions
+2. Streams response to client (text, thinking, tool call deltas)
+3. If `finish_reason: "tool_calls"`, executes tools server-side
+4. Sends custom `tool_execution` SSE events so client shows tool pills
+5. Feeds tool results back to LM Studio as `role: "tool"` messages
+6. Loops (up to 5 rounds) until model produces a final text response
+
+### 6. Tool pill UI fixes
+
+- Moved tool pills to render **above** text content in assistant messages (was below)
+- Fixed duplicate spinning pills: removed `onToolStart` from `delta.tool_calls` handler — now only server-side `tool_execution` events drive tool pill creation/finalization
+- Tool pills now show tool name and arguments (server sends `args` in the running event)
+
+### 7. Production deployment via Tailscale
+
+- Built production bundle (`pnpm run build`)
+- Started production server on port 3100 (`PORT=3100 pnpm run start`)
+- Configured Tailscale serve to proxy HTTPS :3000 to localhost:3100
+- Accessible at `https://krzysztofs-mac-studio.tail657ea.ts.net:3000/`
+
+### 8. Split thinking blocks around tool calls
+
+When a Qwen model thinks, uses a tool, then thinks again, both thinking segments were rendered as a single merged thinking pill. Fixed by modeling thinking as content parts interleaved with tool calls:
+
+**`lib/lmStudio.ts`** — segment tracking:
+- Added `thinkingSegment` counter alongside `fullThinking`
+- On `tool_execution` with `status === "running"`: reset `fullThinking = ""` and increment `thinkingSegment++`
+- Updated `onThinking` callback signature to `(runId, text, segment)` so the UI can track which segment to update
+
+**`app/page.tsx`** — LM Studio `onThinking` callback:
+- Instead of setting `message.reasoning`, manages `{ type: "thinking", text }` content parts in the content array, indexed by segment number
+- New segments always push to the end of the array (not before text parts — that was causing ordering bugs where all thinking clustered before tool calls)
+
+**`app/page.tsx`** — message renderer:
+- Checks for `thinking` content parts in the content array
+- If found, renders them interleaved with `tool_call` parts in array order (each thinking segment gets its own collapsible pill)
+- Filters out empty/whitespace-only thinking parts (residue from `<think>` tag boundaries)
+- Falls back to `message.reasoning` for OpenClaw/demo messages (backward compat)
+
+**Bug fix during implementation**: The initial version inserted new thinking parts *before the text part* in the content array. But whitespace between `</think>` and `<think>` tags leaked as text deltas, placing a text part before tool_calls — so new thinking segments ended up before tool_calls too, breaking the interleaved order.
+
+## Files changed
+
+| File | Change |
+|------|--------|
+| `app/api/lmstudio/route.ts` | New — CORS proxy + agentic tool loop |
+| `app/api/lmstudio/tools.ts` | New — tool definitions + server-side implementations |
+| `lib/lmStudio.ts` | Proxy routing, `<think>` parser, tool_execution event handling |
+| `app/page.tsx` | Tool pills above text, model switch effect dependency |
+
+## Architecture
+
+```
+Browser (MobileClaw UI)
+  |
+  |-- GET /api/lmstudio?url=...&path=/v1/models  (model list)
+  |-- POST /api/lmstudio                          (chat + tools)
+  |
+Next.js API Route (proxy + tool executor)
+  |
+  |-- GET  LM Studio /v1/models
+  |-- POST LM Studio /v1/chat/completions (streaming)
+  |     |
+  |     |-- if finish_reason: "tool_calls"
+  |     |     |-- execute Web_Search / Image_Search / Visit_Website
+  |     |     |-- send tool_execution SSE events to client
+  |     |     |-- feed results back to LM Studio
+  |     |     |-- loop until text response
+  |     |
+  |     |-- stream text/thinking/tool deltas to client
+  |
+LM Studio (localhost:1234)
+```
diff --git a/lib/lmStudio.ts b/lib/lmStudio.ts
new file mode 100644
index 0000000..a2e2d29
--- /dev/null
+++ b/lib/lmStudio.ts
@@ -0,0 +1,398 @@
+// LM Studio API client — OpenAI-compatible HTTP + SSE streaming
+// Supports text, reasoning/thinking, and tool call streaming
+
+// ── Types ────────────────────────────────────────────────────────────────────
+
+export interface LmStudioConfig {
+  baseUrl: string;
+  apiKey?: string;
+  model: string;
+}
+
+export interface LmStudioModel {
+  id: string;
+  object: string;
+  owned_by: string;
+}
+
+interface ContentPart {
+  type: string;
+  text?: string;
+  name?: string;
+  arguments?: string;
+  status?: "running" | "success" | "error";
+  result?: string;
+  resultError?: boolean;
+}
+
+interface Message {
+  role: string;
+  content: ContentPart[] | string | null;
+  timestamp?: number;
+  id?: string;
+  reasoning?: string;
+  toolName?: string;
+  toolArgs?: string;
+  isError?: boolean;
+  stopReason?: string;
+  isContext?: boolean;
+}
+
+// OpenAI chat completion message format
+interface OpenAIMessage {
+  role: "system" | "user" | "assistant" | "tool";
+  content: string | null;
+  tool_calls?: { id: string; type: "function"; function: { name: string; arguments: string } }[];
+  tool_call_id?: string;
+}
+
+// ── Model fetching ───────────────────────────────────────────────────────────
+
+export async function fetchLmStudioModels(
+  baseUrl: string,
+  apiKey?: string
+): Promise<LmStudioModel[]> {
+  const params = new URLSearchParams({ url: baseUrl.replace(/\/$/, ""), path: "/v1/models" });
+  if (apiKey) params.set("apiKey", apiKey);
+
+  const res = await fetch(`/api/lmstudio?${params}`);
+  if (!res.ok) throw new Error(`Failed to fetch models: ${res.status}`);
+  const data = await res.json();
+  return data.data || [];
+}
+
+// ── Message conversion ───────────────────────────────────────────────────────
+
+function getTextFromContent(content: ContentPart[] | string | null): string {
+  if (!content) return "";
+  if (typeof content === "string") return content;
+  return content
+    .filter((p) => p.type === "text" && p.text)
+    .map((p) => p.text!)
+    .join("");
+}
+
+function getToolCallsFromContent(content: ContentPart[] | string | null): ContentPart[] {
+  if (!content || typeof content === "string") return [];
+  return content.filter((p) => p.type === "tool_call" && p.name);
+}
+
+export function toOpenAIMessages(messages: Message[]): OpenAIMessage[] {
+  const result: OpenAIMessage[] = [];
+
+  for (const msg of messages) {
+    if (msg.role === "system" || msg.stopReason === "injected") {
+      const text = getTextFromContent(msg.content);
+      if (text) result.push({ role: "system", content: text });
+      continue;
+    }
+
+    if (msg.role === "user") {
+      const text = getTextFromContent(msg.content);
+      if (text) result.push({ role: "user", content: text });
+      continue;
+    }
+
+    if (msg.role === "assistant") {
+      const text = getTextFromContent(msg.content);
+      const toolCalls = getToolCallsFromContent(msg.content);
+
+      const openaiMsg: OpenAIMessage = {
+        role: "assistant",
+        content: text || null,
+      };
+
+      if (toolCalls.length > 0) {
+        openaiMsg.tool_calls = toolCalls.map((tc, i) => ({
+          id: `call_${i}`,
+          type: "function" as const,
+          function: {
+            name: tc.name!,
+            arguments: tc.arguments || "{}",
+          },
+        }));
+      }
+
+      result.push(openaiMsg);
+      continue;
+    }
+
+    // Skip tool result messages — LM Studio doesn't execute tools
+    if (msg.role === "tool" || msg.role === "toolResult" || msg.role === "tool_result") {
+      continue;
+    }
+  }
+
+  return result;
+}
+
+// ── Streaming callbacks ──────────────────────────────────────────────────────
+
+export interface LmStudioCallbacks {
+  onStreamStart: (runId: string) => void;
+  onThinking: (runId: string, text: string, segment: number) => void;
+  onTextDelta: (runId: string, delta: string, fullText: string) => void;
+  onToolStart: (runId: string, name: string, args: string) => void;
+  onToolEnd: (runId: string, name: string, result: string, isError: boolean) => void;
+  onStreamEnd: (runId: string) => void;
+  onError: (runId: string, error: string) => void;
+}
+
+// Check if the end of `text` is a partial prefix of `tag` (e.g. "<thi" is a prefix of "<think>")
+// Returns the length of the partial match, or 0 if none.
+function partialTagSuffix(text: string, tag: string): number {
+  const maxLen = Math.min(text.length, tag.length - 1);
+  for (let len = maxLen; len >= 1; len--) {
+    if (text.endsWith(tag.slice(0, len))) return len;
+  }
+  return 0;
+}
+
+// ── SSE streaming handler ────────────────────────────────────────────────────
+
+export function createLmStudioHandler(
+  config: LmStudioConfig,
+  callbacks: LmStudioCallbacks
+) {
+  let abortController: AbortController | null = null;
+
+  async function sendMessage(messages: Message[]) {
+    abortController?.abort();
+    abortController = new AbortController();
+
+    const runId = `lms-${Date.now()}-${Math.random().toString(36).slice(2, 6)}`;
+    callbacks.onStreamStart(runId);
+
+    const openaiMessages = toOpenAIMessages(messages);
+    const url = "/api/lmstudio";
+
+    const body: Record<string, unknown> = {
+      _proxyUrl: config.baseUrl.replace(/\/$/, ""),
+      _proxyApiKey: config.apiKey || undefined,
+      _enableTools: true,
+      model: config.model,
+      messages: openaiMessages,
+      stream: true,
+    };
+
+    try {
+      const res = await fetch(url, {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify(body),
+        signal: abortController.signal,
+      });
+
+      if (!res.ok) {
+        const errText = await res.text().catch(() => `HTTP ${res.status}`);
+        callbacks.onError(runId, errText);
+        callbacks.onStreamEnd(runId);
+        return;
+      }
+
+      if (!res.body) {
+        callbacks.onError(runId, "No response body");
+        callbacks.onStreamEnd(runId);
+        return;
+      }
+
+      const reader = res.body.getReader();
+      const decoder = new TextDecoder();
+      let buffer = "";
+      let fullText = "";
+      let fullThinking = "";
+      let thinkingSegment = 0;
+      // Track <think>...</think> tag parsing state
+      // Some models (e.g. GLM) start responding in thinking mode without
+      // an explicit <think> tag — detect from model name
+      const modelLower = config.model.toLowerCase();
+      const implicitThinking = modelLower.includes("glm");
+      let insideThinkTag = implicitThinking;
+      let tagBuffer = ""; // accumulates partial tag matches
+
+      // Accumulate tool calls by index
+      const toolCalls = new Map<number, { id: string; name: string; args: string; started: boolean }>();
+
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        buffer += decoder.decode(value, { stream: true });
+        const lines = buffer.split("\n");
+        buffer = lines.pop() || "";
+
+        for (const line of lines) {
+          const trimmed = line.trim();
+          if (!trimmed.startsWith("data: ")) continue;
+          const data = trimmed.slice(6);
+          if (data === "[DONE]") {
+            // Finalize any tool calls that haven't been ended yet
+            for (const tc of Array.from(toolCalls.values())) {
+              if (tc.started) {
+                callbacks.onToolEnd(runId, tc.name, tc.args, false);
+              }
+            }
+            callbacks.onStreamEnd(runId);
+            return;
+          }
+
+          try {
+            const chunk = JSON.parse(data);
+            const choice = chunk.choices?.[0];
+            if (!choice) continue;
+            const delta = choice.delta;
+            if (!delta) continue;
+
+            // Text content — parse <think>...</think> tags from stream
+            if (delta.content) {
+              const raw = delta.content as string;
+              // Feed into tag buffer for cross-chunk tag parsing
+              let pending = tagBuffer + raw;
+              tagBuffer = "";
+
+              while (pending.length > 0) {
+                if (insideThinkTag) {
+                  const closeIdx = pending.indexOf("</think>");
+                  if (closeIdx === -1) {
+                    // Check for a partial </think> at the end
+                    const partialClose = partialTagSuffix(pending, "</think>");
+                    if (partialClose > 0) {
+                      const safe = pending.slice(0, pending.length - partialClose);
+                      tagBuffer = pending.slice(pending.length - partialClose);
+                      if (safe) { fullThinking += safe; callbacks.onThinking(runId, fullThinking, thinkingSegment); }
+                    } else {
+                      fullThinking += pending;
+                      callbacks.onThinking(runId, fullThinking, thinkingSegment);
+                    }
+                    pending = "";
+                  } else {
+                    const thinkContent = pending.slice(0, closeIdx);
+                    if (thinkContent) { fullThinking += thinkContent; callbacks.onThinking(runId, fullThinking, thinkingSegment); }
+                    insideThinkTag = false;
+                    pending = pending.slice(closeIdx + "</think>".length);
+                  }
+                } else {
+                  const openIdx = pending.indexOf("<think>");
+                  const closeIdx = pending.indexOf("</think>");
+
+                  // </think> found before <think> — model was implicitly in thinking mode
+                  // (e.g. GLM outputs thinking without <think> prefix)
+                  if (closeIdx !== -1 && (openIdx === -1 || closeIdx < openIdx)) {
+                    const before = pending.slice(0, closeIdx);
+                    // Retroactively move any already-emitted text to thinking
+                    if (fullText || before) {
+                      fullThinking += fullText + before;
+                      if (fullText) {
+                        fullText = "";
+                        callbacks.onTextDelta(runId, "", "");
+                      }
+                      callbacks.onThinking(runId, fullThinking, thinkingSegment);
+                    }
+                    pending = pending.slice(closeIdx + "</think>".length);
+                  } else if (openIdx === -1) {
+                    // No think tags — check for partial tags at the end
+                    const partialOpen = partialTagSuffix(pending, "<think>");
+                    const partialClose = partialTagSuffix(pending, "</think>");
+                    const partial = Math.max(partialOpen, partialClose);
+                    if (partial > 0) {
+                      const safe = pending.slice(0, pending.length - partial);
+                      tagBuffer = pending.slice(pending.length - partial);
+                      if (safe) { fullText += safe; callbacks.onTextDelta(runId, safe, fullText); }
+                    } else {
+                      fullText += pending;
+                      callbacks.onTextDelta(runId, pending, fullText);
+                    }
+                    pending = "";
+                  } else {
+                    const before = pending.slice(0, openIdx);
+                    if (before) { fullText += before; callbacks.onTextDelta(runId, before, fullText); }
+                    insideThinkTag = true;
+                    pending = pending.slice(openIdx + "<think>".length);
+                  }
+                }
+              }
+            }
+
+            // Reasoning/thinking content (LM Studio reasoning_content field)
+            if (delta.reasoning_content) {
+              fullThinking += delta.reasoning_content;
+              callbacks.onThinking(runId, fullThinking, thinkingSegment);
+            }
+
+            // Tool calls — accumulate across multiple chunks (don't fire
+            // onToolStart here; server-side tool_execution events handle the UI)
+            if (delta.tool_calls) {
+              for (const tc of delta.tool_calls) {
+                const idx = tc.index ?? 0;
+                if (!toolCalls.has(idx)) {
+                  toolCalls.set(idx, { id: "", name: "", args: "", started: false });
+                }
+                const entry = toolCalls.get(idx)!;
+                if (tc.id) entry.id = tc.id;
+                if (tc.function?.name) entry.name += tc.function.name;
+                if (tc.function?.arguments) entry.args += tc.function.arguments;
+              }
+            }
+
+            // Server-side tool execution events (from agentic proxy)
+            if (delta.tool_execution) {
+              const te = delta.tool_execution;
+              console.log("[lmStudio] tool_execution event:", te.status, te.name, te.call_id);
+              if (te.status === "running") {
+                // Reset thinking accumulator so post-tool thinking becomes a new segment
+                fullThinking = "";
+                thinkingSegment++;
+                callbacks.onToolStart(runId, te.name, te.args || "");
+              } else if (te.status === "done") {
+                console.log("[lmStudio] calling onToolEnd for", te.name);
+                callbacks.onToolEnd(runId, te.name, te.result || "", false);
+                // Models that start in implicit thinking mode will also start
+                // thinking in the next agentic round after tool execution
+                if (implicitThinking) {
+                  insideThinkTag = true;
+                }
+              }
+            }
+
+            // Finish reason — finalize tool calls (for client-only tool display)
+            if (choice.finish_reason === "tool_calls") {
+              // Don't finalize here — the server will execute tools and continue.
+              // Clear tracked tool calls so they don't get double-finalized.
+              toolCalls.clear();
+            } else if (choice.finish_reason) {
+              for (const tc of Array.from(toolCalls.values())) {
+                if (tc.started) {
+                  callbacks.onToolEnd(runId, tc.name, tc.args, false);
+                }
+              }
+            }
+          } catch {
+            // Skip malformed JSON chunks
+          }
+        }
+      }
+
+      // Stream ended without [DONE] — finalize
+      for (const tc of Array.from(toolCalls.values())) {
+        if (tc.started) {
+          callbacks.onToolEnd(runId, tc.name, tc.args, false);
+        }
+      }
+      callbacks.onStreamEnd(runId);
+    } catch (err) {
+      if ((err as Error).name === "AbortError") {
+        callbacks.onStreamEnd(runId);
+        return;
+      }
+      callbacks.onError(runId, (err as Error).message || "Unknown error");
+      callbacks.onStreamEnd(runId);
+    }
+  }
+
+  function stop() {
+    abortController?.abort();
+    abortController = null;
+  }
+
+  return { sendMessage, stop };
+}
diff --git a/lib/useWebSocket.ts b/lib/useWebSocket.ts
index 3c74b23..c443136 100644
--- a/lib/useWebSocket.ts
+++ b/lib/useWebSocket.ts
@@ -40,6 +40,11 @@ export function useWebSocket(options: UseWebSocketOptions = {}) {
 
   const connectInternal = useCallback((url: string) => {
     if (wsRef.current) {
+      // Prevent old socket from triggering reconnect logic or updating state
+      wsRef.current.onclose = null;
+      wsRef.current.onerror = null;
+      wsRef.current.onmessage = null;
+      wsRef.current.onopen = null;
       wsRef.current.close();
     }
 
@@ -82,11 +87,15 @@ export function useWebSocket(options: UseWebSocketOptions = {}) {
       };
 
       ws.onmessage = (event) => {
+        if (typeof event.data !== "string") {
+          console.warn("[WS] Received non-text message:", event.data);
+          return;
+        }
         try {
           const data = JSON.parse(event.data) as WebSocketMessage;
           optionsRef.current.onMessage?.(data);
         } catch (err) {
-          console.error("Failed to parse WebSocket message:", err);
+          console.error("Failed to parse WebSocket message:", err, "Raw data:", event.data);
         }
       };
     } catch (err) {
diff --git a/next-env.d.ts b/next-env.d.ts
index 9edff1c..c4b7818 100644
--- a/next-env.d.ts
+++ b/next-env.d.ts
@@ -1,6 +1,6 @@
 /// <reference types="next" />
 /// <reference types="next/image-types/global" />
-import "./.next/types/routes.d.ts";
+import "./.next/dev/types/routes.d.ts";
 
 // NOTE: This file should not be edited
 // see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
diff --git a/tsconfig.tsbuildinfo b/tsconfig.tsbuildinfo
new file mode 100644
index 0000000..7278e4a
--- /dev/null
+++ b/tsconfig.tsbuildinfo
@@ -0,0 +1 @@
+{"fileNames":["./node_modules/typescript/lib/lib.es5.d.ts","./node_modules/typescript/lib/lib.es2015.d.ts","./node_modules/typescript/lib/lib.es2016.d.ts","./node_modules/typescript/lib/lib.es2017.d.ts","./node_modules/typescript/lib/lib.es2018.d.ts","./node_modules/typescript/lib/lib.es2019.d.ts","./node_modules/typescript/lib/lib.es2020.d.ts","./node_modules/typescript/lib/lib.es2021.d.ts","./node_modules/typescript/lib/lib.es2022.d.ts","./node_modules/typescript/lib/lib.es2023.d.ts","./node_modules/typescript/lib/lib.es2024.d.ts","./node_modules/typescript/lib/lib.esnext.d.ts","./node_modules/typescript/lib/lib.dom.d.ts","./node_modules/typescript/lib/lib.dom.iterable.d.ts","./node_modules/typescript/lib/lib.es2015.core.d.ts","./node_modules/typescript/lib/lib.es2015.collection.d.ts","./node_modules/typescript/lib/lib.es2015.generator.d.ts","./node_modules/typescript/lib/lib.es2015.iterable.d.ts","./node_modules/typescript/lib/lib.es2015.promise.d.ts","./node_modules/typescript/lib/lib.es2015.proxy.d.ts","./node_modules/typescript/lib/lib.es2015.reflect.d.ts","./node_modules/typescript/lib/lib.es2015.symbol.d.ts","./node_modules/typescript/lib/lib.es2015.symbol.wellknown.d.ts","./node_modules/typescript/lib/lib.es2016.array.include.d.ts","./node_modules/typescript/lib/lib.es2016.intl.d.ts","./node_modules/typescript/lib/lib.es2017.arraybuffer.d.ts","./node_modules/typescript/lib/lib.es2017.date.d.ts","./node_modules/typescript/lib/lib.es2017.object.d.ts","./node_modules/typescript/lib/lib.es2017.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2017.string.d.ts","./node_modules/typescript/lib/lib.es2017.intl.d.ts","./node_modules/typescript/lib/lib.es2017.typedarrays.d.ts","./node_modules/typescript/lib/lib.es2018.asyncgenerator.d.ts","./node_modules/typescript/lib/lib.es2018.asynciterable.d.ts","./node_modules/typescript/lib/lib.es2018.intl.d.ts","./node_modules/typescript/lib/lib.es2018.promise.d.ts","./node_modules/typescript/lib/lib.es2018.regexp.d.ts","./node_modules/typescript/lib/lib.es2019.array.d.ts","./node_modules/typescript/lib/lib.es2019.object.d.ts","./node_modules/typescript/lib/lib.es2019.string.d.ts","./node_modules/typescript/lib/lib.es2019.symbol.d.ts","./node_modules/typescript/lib/lib.es2019.intl.d.ts","./node_modules/typescript/lib/lib.es2020.bigint.d.ts","./node_modules/typescript/lib/lib.es2020.date.d.ts","./node_modules/typescript/lib/lib.es2020.promise.d.ts","./node_modules/typescript/lib/lib.es2020.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2020.string.d.ts","./node_modules/typescript/lib/lib.es2020.symbol.wellknown.d.ts","./node_modules/typescript/lib/lib.es2020.intl.d.ts","./node_modules/typescript/lib/lib.es2020.number.d.ts","./node_modules/typescript/lib/lib.es2021.promise.d.ts","./node_modules/typescript/lib/lib.es2021.string.d.ts","./node_modules/typescript/lib/lib.es2021.weakref.d.ts","./node_modules/typescript/lib/lib.es2021.intl.d.ts","./node_modules/typescript/lib/lib.es2022.array.d.ts","./node_modules/typescript/lib/lib.es2022.error.d.ts","./node_modules/typescript/lib/lib.es2022.intl.d.ts","./node_modules/typescript/lib/lib.es2022.object.d.ts","./node_modules/typescript/lib/lib.es2022.string.d.ts","./node_modules/typescript/lib/lib.es2022.regexp.d.ts","./node_modules/typescript/lib/lib.es2023.array.d.ts","./node_modules/typescript/lib/lib.es2023.collection.d.ts","./node_modules/typescript/lib/lib.es2023.intl.d.ts","./node_modules/typescript/lib/lib.es2024.arraybuffer.d.ts","./node_modules/typescript/lib/lib.es2024.collection.d.ts","./node_modules/typescript/lib/lib.es2024.object.d.ts","./node_modules/typescript/lib/lib.es2024.promise.d.ts","./node_modules/typescript/lib/lib.es2024.regexp.d.ts","./node_modules/typescript/lib/lib.es2024.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2024.string.d.ts","./node_modules/typescript/lib/lib.esnext.array.d.ts","./node_modules/typescript/lib/lib.esnext.collection.d.ts","./node_modules/typescript/lib/lib.esnext.intl.d.ts","./node_modules/typescript/lib/lib.esnext.disposable.d.ts","./node_modules/typescript/lib/lib.esnext.promise.d.ts","./node_modules/typescript/lib/lib.esnext.decorators.d.ts","./node_modules/typescript/lib/lib.esnext.iterator.d.ts","./node_modules/typescript/lib/lib.esnext.float16.d.ts","./node_modules/typescript/lib/lib.esnext.error.d.ts","./node_modules/typescript/lib/lib.esnext.sharedmemory.d.ts","./node_modules/typescript/lib/lib.decorators.d.ts","./node_modules/typescript/lib/lib.decorators.legacy.d.ts","./node_modules/@types/react/global.d.ts","./node_modules/csstype/index.d.ts","./node_modules/@types/react/index.d.ts","./node_modules/next/dist/styled-jsx/types/css.d.ts","./node_modules/next/dist/styled-jsx/types/macro.d.ts","./node_modules/next/dist/styled-jsx/types/style.d.ts","./node_modules/next/dist/styled-jsx/types/global.d.ts","./node_modules/next/dist/styled-jsx/types/index.d.ts","./node_modules/next/dist/server/get-page-files.d.ts","./node_modules/@types/node/compati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