diff --git a/examples/multi-worker/ui-worker/deixis/README.md b/examples/multi-worker/ui-worker/deixis/README.md
new file mode 100644
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+# deixis
+
+The UIWorker grounds in what the user just selected. Highlight a
+paragraph in the article and ask "explain this" — the worker reads your
+selection from the snapshot and answers about that specific content.
+
+## What it shows
+
+- The **read direction**: the client captures `window.getSelection()`
+  and emits a `<selection ref="...">selected text</selection>` block
+  inside `<ui_state>`. The `UIWorker` treats it as the deictic referent
+  for "this", "that", "this paragraph". Asking "what does this mean?"
+  with a paragraph selected resolves cleanly.
+- The **write direction**: the worker says "this paragraph" and issues a
+  `select_text=ref` command. The client puts the page's text selection
+  on that element, so the user sees exactly which paragraph the worker
+  means.
+- `ReplyToolMixin` covering reading-style apps: the same bundled tool
+  pointing uses also has `select_text` (durable selection) alongside
+  `highlight` (brief flash).
+
+## What it adds vs. `pointing`
+
+`pointing` proved the worker can act visually on the page (scroll,
+highlight). This one proves it can read the user's pointer (text
+selection) and point back in the same idiom (programmatic selection).
+Same skeleton; the new parts are the `select_text` command and the
+matching client handler.
+
+## Run
+
+Two terminals.
+
+**Terminal 1 — bot:**
+
+```bash
+cd examples/multi-worker/ui-worker/deixis
+uv run python bot.py
+```
+
+The bot starts on `http://localhost:7860`.
+
+**Terminal 2 — client:**
+
+```bash
+cd examples/multi-worker/ui-worker/deixis/client
+npm install            # one-time
+npm run dev
+```
+
+Open `http://localhost:5173` and click **Connect**.
+
+## What to try
+
+The page renders a short essay on octopus cognition with selectable
+paragraphs.
+
+**Read direction (user selects, worker grounds):**
+
+- Select the paragraph about RNA editing → _"What does this mean?"_
+- Select any paragraph → _"Explain this in one sentence."_
+
+**Write direction (worker points back):**
+
+- _"Where does it talk about how octopuses solve problems?"_ (no
+  selection) — the worker finds the paragraph, speaks a brief reply, and
+  selects it for you.
+- _"How many neurons does an octopus have?"_ — answers and selects the
+  source paragraph.
+
+**Conversational without pointing:**
+
+- _"What's this article about?"_ — a one-sentence summary, no selection.
+
+## Requirements
+
+- `OPENAI_API_KEY`
+- `DEEPGRAM_API_KEY`
+- `CARTESIA_API_KEY`
+
+A `.env` in the example folder is the easiest way to set these (see
+`examples/multi-worker/env.example`).
+
+## What this example _doesn't_ show
+
+Form filling (see `form-fill/`), async task cards (see `async-tasks/`),
+or custom command handlers beyond `scroll_to` / `highlight` /
+`select_text`.
diff --git a/examples/multi-worker/ui-worker/deixis/bot.py b/examples/multi-worker/ui-worker/deixis/bot.py
new file mode 100644
index 000000000..947fdd5a7
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/bot.py
@@ -0,0 +1,291 @@
+#
+# Copyright (c) 2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""Deixis — the UIWorker grounds in what the user just selected.
+
+The page renders an article. The user selects a paragraph (or any span
+of text) and asks "explain this", "rephrase that", "where does it talk
+about RNA editing?", and so on. The client captures
+``window.getSelection()`` and emits a ``<selection ref="...">selected
+text</selection>`` block in the snapshot. The UIWorker reads it as a
+deictic reference: "this paragraph" resolves to the selected element.
+
+Two directions:
+
+- **Read**: user selects text → ``<selection>`` block in ``<ui_state>``
+  → the worker grounds its answer in the selected content.
+- **Write**: the worker says "this paragraph" → ``select_text=ref`` puts
+  the page's text selection on that element → the user sees what the
+  worker is referring to.
+
+Same skeleton as ``pointing``. ``DeixisWorker`` composes
+``ReplyToolMixin``: the ``reply(answer, scroll_to, highlight,
+select_text)`` bundle covers both pointing-style and reading-style apps.
+
+Architecture::
+
+    Main worker (PipelineWorker, owns transport + RTVI):
+      transport.in → STT → user_agg → LLM → TTS → transport.out → assistant_agg
+        └── answer_about_screen(query) tool
+              └── params.pipeline_worker.job("ui", name="respond", payload={query})
+
+    DeixisWorker (ReplyToolMixin + UIWorker):
+      └── inherited: reply(answer, scroll_to, highlight, select_text)
+
+Run::
+
+    uv run python bot.py
+
+Then open the client at ``http://localhost:5173`` (see ``README.md``).
+
+Requirements:
+
+- OPENAI_API_KEY
+- DEEPGRAM_API_KEY
+- CARTESIA_API_KEY
+"""
+
+import os
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.adapters.schemas.tools_schema import ToolsSchema
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
+from pipecat.pipeline.job_context import JobError
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.worker import PipelineParams, PipelineWorker
+from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.llm_service import FunctionCallParams
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.workers.ui import ReplyToolMixin, UIWorker
+
+load_dotenv(override=True)
+
+MAIN_NAME = "main"
+
+transport_params = {
+    "daily": lambda: DailyParams(audio_in_enabled=True, audio_out_enabled=True),
+    "webrtc": lambda: TransportParams(audio_in_enabled=True, audio_out_enabled=True),
+}
+
+
+VOICE_PROMPT = """\
+You are the voice layer of a screen-aware reading assistant. A \
+separate UI layer sees the page (and the user's selection) and \
+writes the spoken reply.
+
+For every user utterance about the article, call \
+``answer_about_screen`` with the user's request verbatim. The tool's \
+response is the spoken reply, already TTS-ready.
+
+Only respond directly for pure pleasantries (greetings, thanks, \
+goodbyes). Keep direct replies to one short spoken sentence."""
+
+
+# The UI wire-format guide (UI_STATE_PROMPT_GUIDE) is appended to the LLM's
+# system instruction automatically by UIWorker, so this prompt only needs the
+# app-specific behavior.
+UI_PROMPT = """\
+You help the user read and understand an article. The current \
+``<ui_state>`` block is in your context, and may contain a \
+``<selection>`` block when the user has highlighted text.
+
+## Tool: reply
+
+Every turn calls ``reply`` exactly once. One tool call per turn, no \
+chaining.
+
+``reply(answer, scroll_to=None, highlight=None, select_text=None)``:
+
+- ``answer`` (REQUIRED): the spoken reply, plain language, two short \
+sentences max. No markdown, no symbols, no quoting long passages.
+- ``scroll_to`` (OPTIONAL): a snapshot ref. Set when the paragraph \
+you want to point at is tagged ``[offscreen]``.
+- ``highlight`` (OPTIONAL): a list of snapshot refs to flash briefly. \
+Use for short emphasis: "look at this fact". Don't use it for a \
+whole paragraph; ``select_text`` is better for that.
+- ``select_text`` (OPTIONAL): a single snapshot ref. Sets the page's \
+text selection to that element. Use this when you say "this \
+paragraph" or "the section that talks about X" so the user sees \
+exactly what you're referring to.
+
+## Reading the user's selection
+
+If ``<ui_state>`` contains a ``<selection ref="...">selected \
+text</selection>`` block, the user has highlighted something. Treat \
+that selection as the deictic referent for words like "this", \
+"that", "this paragraph", "what I selected". Ground your answer in \
+the selected content, not the article as a whole.
+
+When answering about the user's selection, do NOT also call \
+``select_text`` — they already selected it; pointing back at the \
+same span is redundant.
+
+## Decision rules
+
+- User has a selection AND asks something deictic ("explain this", \
+"rephrase that", "what does this mean") → ground in the selection. \
+Just ``answer``; no visual fields.
+- User asks "where does it say X?" or "show me the part about X" → \
+find the matching paragraph, ``answer`` briefly, set \
+``select_text=ref`` to point at it, and ``scroll_to=ref`` if it's \
+``[offscreen]``.
+- User asks a content question without selection → ``answer`` with \
+the relevant fact. Optionally set ``select_text=ref`` if the \
+answer is sourced from one specific paragraph.
+
+## Examples
+
+(refs are illustrative; use the actual refs from the current \
+``<ui_state>``)
+
+- User selects the third paragraph, asks "explain this" → \
+``reply(answer="The skin acts as its own light sensor. Even though \
+octopuses are colorblind, their skin can detect light directly, \
+which is how they match colors so accurately.")``
+- "Where does it talk about RNA editing?" (paragraph e15, offscreen) \
+→ ``reply(answer="Here, in the paragraph about RNA editing.", \
+scroll_to="e15", select_text="e15")``
+- "How many neurons does an octopus have?" (no selection) → \
+``reply(answer="About five hundred million, with two thirds of \
+them in the arms.", select_text="e7")``
+- "Hi, what's this article about?" (no selection) → \
+``reply(answer="It's a short essay on octopus cognition. Select any \
+paragraph and I'll explain it.")``"""
+
+
+class DeixisWorker(ReplyToolMixin, UIWorker):
+    """UIWorker that grounds in the user's selection and points back via select_text.
+
+    Composes ``ReplyToolMixin``, which exposes a single
+    ``reply(answer, scroll_to=None, highlight=None, select_text=None, ...)``
+    LLM tool. The same bundle pointing apps use also covers
+    reading-style apps: ``select_text`` is for "this paragraph" / "the
+    section about X" (durable text selection), while ``highlight``
+    flashes briefly for short emphasis.
+    """
+
+    def __init__(self):
+        llm = OpenAILLMService(
+            api_key=os.environ["OPENAI_API_KEY"],
+            settings=OpenAILLMService.Settings(system_instruction=UI_PROMPT),
+        )
+        super().__init__("ui", llm=llm)
+
+
+async def answer_about_screen(params: FunctionCallParams, query: str):
+    """Ask the screen-aware UI worker to answer about the article / selection.
+
+    Args:
+        query (str): The user's request, passed verbatim.
+    """
+    logger.info(f"answer_about_screen('{query}')")
+    try:
+        async with params.pipeline_worker.job(
+            "ui", name="respond", payload={"query": query}, timeout=10
+        ) as t:
+            pass
+    except JobError as e:
+        logger.warning(f"ui job failed: {e}")
+        await params.result_callback("Something went wrong on my side.")
+        return
+
+    speak = (t.response or {}).get("speak")
+    await params.result_callback(speak or "I'm not sure how to answer that.")
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info("Starting deixis bot")
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
+    tts = CartesiaTTSService(
+        api_key=os.environ["CARTESIA_API_KEY"],
+        settings=CartesiaTTSService.Settings(
+            voice=os.getenv("CARTESIA_VOICE_ID", "71a7ad14-091c-4e8e-a314-022ece01c121"),
+        ),
+    )
+    llm = OpenAILLMService(
+        api_key=os.environ["OPENAI_API_KEY"],
+        settings=OpenAILLMService.Settings(system_instruction=VOICE_PROMPT),
+    )
+    llm.register_direct_function(answer_about_screen, cancel_on_interruption=False, timeout_secs=30)
+
+    context = LLMContext(tools=ToolsSchema(standard_tools=[answer_about_screen]))
+    aggregators = LLMContextAggregatorPair(
+        context,
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
+    )
+
+    pipeline = Pipeline(
+        [
+            transport.input(),
+            stt,
+            aggregators.user(),
+            llm,
+            tts,
+            transport.output(),
+            aggregators.assistant(),
+        ]
+    )
+
+    worker = PipelineWorker(
+        pipeline,
+        name=MAIN_NAME,
+        params=PipelineParams(enable_metrics=True, enable_usage_metrics=True),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info("Client connected")
+        context.add_message(
+            {
+                "role": "developer",
+                "content": (
+                    "Greet the user briefly. Tell them they can select a "
+                    "paragraph and ask you to explain or rephrase it. One "
+                    "short sentence."
+                ),
+            }
+        )
+        await worker.queue_frame(LLMRunFrame())
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info("Client disconnected")
+        await runner.cancel()
+
+    await runner.launch_worker(DeixisWorker())
+    await runner.launch_worker(worker)
+
+    await runner.run()
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
diff --git a/examples/multi-worker/ui-worker/deixis/client/index.html b/examples/multi-worker/ui-worker/deixis/client/index.html
new file mode 100644
index 000000000..77523e0a4
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/index.html
@@ -0,0 +1,101 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Deixis — UIAgent demo</title>
+    <link rel="stylesheet" href="./styles.css" />
+  </head>
+  <body>
+    <header>
+      <h1>Reading room</h1>
+      <button id="connect" type="button">Connect</button>
+    </header>
+
+    <main>
+      <article aria-label="Octopus cognition">
+        <h2>What octopuses can teach us about minds</h2>
+        <p class="lede">
+          A short tour of the strangest cognitive machine on Earth.
+          Select any paragraph and ask the assistant to explain it,
+          rephrase it, or place it in context.
+        </p>
+
+        <p>
+          An octopus has roughly five hundred million neurons, about
+          the same as a dog. But the wiring is unlike any vertebrate
+          brain. Two thirds of those neurons live in the arms, not in
+          the central brain. Each arm runs a substantial amount of
+          its own motor planning and sensory integration locally,
+          which is why a severed octopus arm will continue to react
+          to touch and even grab nearby food for several minutes.
+        </p>
+
+        <p>
+          Their skin is its own information system. Underneath are
+          millions of pigment cells called chromatophores, each one
+          opened or closed by a tiny ring of muscles. Layered below
+          those are iridophores and leucophores, which scatter or
+          reflect light. Together they let an octopus reproduce the
+          color and texture of a coral, a rock, or a sandy bottom in
+          fractions of a second. The remarkable detail is that
+          octopuses are mostly colorblind, and yet they match colors
+          accurately. The leading hypothesis is that the skin itself
+          has photoreceptors and senses light directly.
+        </p>
+
+        <p>
+          Cephalopods edit their RNA at extraordinary rates. Most
+          animals make small, occasional substitutions in messenger
+          RNA before it is translated into protein. Octopuses,
+          squids, and cuttlefish make tens of thousands of edits, and
+          a substantial fraction occur in the genes that build
+          neurons. This may be how they fine-tune neural function in
+          response to temperature without slow generations of natural
+          selection. The trade-off appears to be a much slower rate
+          of underlying genetic evolution.
+        </p>
+
+        <p>
+          They solve novel problems. Captive octopuses learn to open
+          screw-top jars, navigate mazes, distinguish individual
+          human caretakers, and remember which ones have been
+          unkind. There is at least one careful study in which an
+          octopus, given a transparent box containing food, opened
+          it the long way around rather than through the obvious
+          flap, suggesting some kind of mental simulation rather than
+          pure trial and error.
+        </p>
+
+        <p>
+          Their relationship to time is strange. Most octopus species
+          live one or two years, breed once, and die soon after, in a
+          process driven by hormonal signals from the optic gland. A
+          single animal can therefore acquire a remarkable range of
+          skills, only to lose them on a schedule. From a human
+          standpoint this looks tragic. From an evolutionary
+          standpoint it is simply the cost of investing everything in
+          a brief, intense life.
+        </p>
+
+        <p>
+          Studying octopuses tends to widen the definition of mind.
+          They evolved their cognition independently of vertebrates,
+          starting from a common ancestor more than five hundred
+          million years ago, when the most sophisticated neural
+          tissue on the planet was probably a nerve net. Whatever
+          they do with their distributed brains, they arrived at it
+          on a separate evolutionary line. The result is a working
+          example of intelligence built on a different plan, which
+          is exactly the kind of comparison that a single-example
+          field of study most needs.
+        </p>
+      </article>
+    </main>
+
+    <div id="status" aria-live="polite"></div>
+    <audio id="bot-audio" autoplay data-a11y-exclude></audio>
+
+    <script type="module" src="./main.js"></script>
+  </body>
+</html>
diff --git a/examples/multi-worker/ui-worker/deixis/client/main.js b/examples/multi-worker/ui-worker/deixis/client/main.js
new file mode 100644
index 000000000..078e09e5f
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/main.js
@@ -0,0 +1,185 @@
+/**
+ * Deixis — vanilla JS client.
+ *
+ * Same base wiring as pointing (PipecatClient +
+ * managed snapshot streaming + bot audio sink), with three command
+ * handlers: ``scroll_to``, ``highlight``, and ``select_text``.
+ *
+ * The interesting one is ``select_text``: it puts the OS-level text
+ * selection on the referenced element, so when the agent says
+ * "this paragraph here" the user sees exactly which paragraph it
+ * means. The READ direction (user selection) flows the other way —
+ * Managed snapshot streaming automatically captures
+ * ``window.getSelection()`` and emits a ``<selection ref=...>...
+ * </selection>`` block in the snapshot the server sees.
+ */
+
+import {
+  PipecatClient,
+  RTVIEvent,
+  findElementByRef,
+} from "@pipecat-ai/client-js";
+import { SmallWebRTCTransport } from "@pipecat-ai/small-webrtc-transport";
+
+const BOT_URL = "http://localhost:7860/api/offer";
+
+const connectButton = document.getElementById("connect");
+const status = document.getElementById("status");
+const botAudio = document.getElementById("bot-audio");
+
+let client;
+let unsubscribes = [];
+
+function setStatus(text, autoHideMs = 0) {
+  status.textContent = text;
+  status.dataset.show = text ? "1" : "0";
+  if (text && autoHideMs > 0) {
+    setTimeout(() => {
+      if (status.textContent === text) status.dataset.show = "0";
+    }, autoHideMs);
+  }
+}
+
+function resolveTarget(payload) {
+  if (payload?.ref) {
+    const el = findElementByRef(payload.ref);
+    if (el) return el;
+  }
+  if (payload?.target_id) {
+    return document.getElementById(payload.target_id);
+  }
+  return null;
+}
+
+function handleScrollTo(payload) {
+  const el = resolveTarget(payload);
+  if (!el) return;
+  const behavior =
+    payload?.behavior === "instant" || payload?.behavior === "smooth"
+      ? payload.behavior
+      : "smooth";
+  el.scrollIntoView({ behavior, block: "center", inline: "nearest" });
+}
+
+function handleHighlight(payload) {
+  // Pointing's pulse style isn't appropriate for an article
+  // (paragraphs don't want to scale). Use a brief background flash
+  // by briefly setting a class. Highlight is used here mostly for
+  // emphasizing single phrases the agent named — see CSS.
+  const el = resolveTarget(payload);
+  if (!el) return;
+  el.classList.remove("flash");
+  void el.offsetWidth;
+  el.classList.add("flash");
+  const duration = payload?.duration_ms ?? 1500;
+  setTimeout(() => el.classList.remove("flash"), duration);
+}
+
+/**
+ * Programmatically select an element's text on the page.
+ *
+ * Build a ``Range`` covering the element's children, replace the
+ * window selection with it, and scroll the element into view. This
+ * is the WRITE side of the deixis story: the agent says "this
+ * paragraph" and the page shows the text actually selected.
+ */
+function handleSelectText(payload) {
+  const el = resolveTarget(payload);
+  if (!el) return;
+
+  const range = document.createRange();
+  range.selectNodeContents(el);
+
+  const sel = window.getSelection();
+  if (!sel) return;
+  sel.removeAllRanges();
+  sel.addRange(range);
+
+  // Scroll the selection into view if it isn't already, so the user
+  // actually sees the agent's pointer.
+  el.scrollIntoView({ behavior: "smooth", block: "center" });
+}
+
+function onUICommand(command, handler) {
+  const listener = (data) => {
+    if (data.command !== command) return;
+    handler(data.payload);
+  };
+  client.on(RTVIEvent.UICommand, listener);
+  return () => client.off(RTVIEvent.UICommand, listener);
+}
+
+async function connect() {
+  connectButton.disabled = true;
+  setStatus("Connecting…");
+
+  client = new PipecatClient({
+    transport: new SmallWebRTCTransport(),
+    enableMic: true,
+    enableCam: false,
+  });
+
+  client.on(RTVIEvent.BotConnected, () => setStatus("Bot connected", 1500));
+  client.on(RTVIEvent.Disconnected, () => {
+    setStatus("Disconnected", 2000);
+    connectButton.dataset.state = "";
+    connectButton.textContent = "Connect";
+    connectButton.disabled = false;
+    teardownUI();
+  });
+
+  client.on(RTVIEvent.TrackStarted, (track, participant) => {
+    if (track.kind !== "audio") return;
+    if (participant?.local) return;
+    botAudio.srcObject = new MediaStream([track]);
+  });
+
+  unsubscribes = [
+    onUICommand("scroll_to", handleScrollTo),
+    onUICommand("highlight", handleHighlight),
+    onUICommand("select_text", handleSelectText),
+  ];
+
+  try {
+    await client.connect({ webrtcUrl: BOT_URL });
+    client.startUISnapshotStream();
+    connectButton.dataset.state = "connected";
+    connectButton.textContent = "Disconnect";
+    connectButton.disabled = false;
+    setStatus("Connected. Try selecting a paragraph and asking 'explain this.'", 5000);
+  } catch (err) {
+    console.error("Connect failed:", err);
+    setStatus(`Connect failed: ${err.message ?? err}`, 4000);
+    teardownUI();
+    connectButton.disabled = false;
+  }
+}
+
+async function disconnect() {
+  connectButton.disabled = true;
+  setStatus("Disconnecting…");
+  try {
+    await client?.disconnect();
+  } finally {
+    teardownUI();
+    connectButton.dataset.state = "";
+    connectButton.textContent = "Connect";
+    connectButton.disabled = false;
+  }
+}
+
+function teardownUI() {
+  client?.stopUISnapshotStream();
+  unsubscribes.forEach((unsubscribe) => unsubscribe());
+  unsubscribes = [];
+  if (botAudio.srcObject) botAudio.srcObject = null;
+  client = undefined;
+}
+
+connectButton.addEventListener("click", () => {
+  if (connectButton.dataset.state === "connected") {
+    disconnect();
+  } else {
+    connect();
+  }
+});
diff --git a/examples/multi-worker/ui-worker/deixis/client/package-lock.json b/examples/multi-worker/ui-worker/deixis/client/package-lock.json
new file mode 100644
index 000000000..bb463bc66
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/package-lock.json
@@ -0,0 +1,1128 @@
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+        "@rolldown/binding-linux-ppc64-gnu": "1.0.2",
+        "@rolldown/binding-linux-s390x-gnu": "1.0.2",
+        "@rolldown/binding-linux-x64-gnu": "1.0.2",
+        "@rolldown/binding-linux-x64-musl": "1.0.2",
+        "@rolldown/binding-openharmony-arm64": "1.0.2",
+        "@rolldown/binding-wasm32-wasi": "1.0.2",
+        "@rolldown/binding-win32-arm64-msvc": "1.0.2",
+        "@rolldown/binding-win32-x64-msvc": "1.0.2"
+      }
+    },
+    "node_modules/rxjs": {
+      "version": "7.8.2",
+      "resolved": "https://registry.npmjs.org/rxjs/-/rxjs-7.8.2.tgz",
+      "integrity": "sha512-dhKf903U/PQZY6boNNtAGdWbG85WAbjT/1xYoZIC7FAY0yWapOBQVsVrDl58W86//e1VpMNBtRV4MaXfdMySFA==",
+      "license": "Apache-2.0",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.1.0"
+      }
+    },
+    "node_modules/shallow-clone": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/shallow-clone/-/shallow-clone-3.0.1.tgz",
+      "integrity": "sha512-/6KqX+GVUdqPuPPd2LxDDxzX6CAbjJehAAOKlNpqqUpAqPM6HeL8f+o3a+JsyGjn2lv0WY8UsTgUJjU9Ok55NA==",
+      "license": "MIT",
+      "dependencies": {
+        "kind-of": "^6.0.2"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/source-map-js": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz",
+      "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==",
+      "dev": true,
+      "license": "BSD-3-Clause",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/tinyglobby": {
+      "version": "0.2.16",
+      "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.16.tgz",
+      "integrity": "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "fdir": "^6.5.0",
+        "picomatch": "^4.0.4"
+      },
+      "engines": {
+        "node": ">=12.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/SuperchupuDev"
+      }
+    },
+    "node_modules/tslib": {
+      "version": "2.8.1",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz",
+      "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==",
+      "license": "0BSD",
+      "optional": true
+    },
+    "node_modules/typed-emitter": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/typed-emitter/-/typed-emitter-2.1.0.tgz",
+      "integrity": "sha512-g/KzbYKbH5C2vPkaXGu8DJlHrGKHLsM25Zg9WuC9pMGfuvT+X25tZQWo5fK1BjBm8+UrVE9LDCvaY0CQk+fXDA==",
+      "license": "MIT",
+      "optionalDependencies": {
+        "rxjs": "*"
+      }
+    },
+    "node_modules/uuid": {
+      "version": "10.0.0",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-10.0.0.tgz",
+      "integrity": "sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==",
+      "deprecated": "uuid@10 and below is no longer supported.  For ESM codebases, update to uuid@latest.  For CommonJS codebases, use uuid@11 (but be aware this version will likely be deprecated in 2028).",
+      "funding": [
+        "https://github.com/sponsors/broofa",
+        "https://github.com/sponsors/ctavan"
+      ],
+      "license": "MIT",
+      "bin": {
+        "uuid": "dist/bin/uuid"
+      }
+    },
+    "node_modules/vite": {
+      "version": "8.0.14",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-8.0.14.tgz",
+      "integrity": "sha512-s4BJJ+5y1pYL6Otw51FHhVJQhPnuRinKig64g/1+EUNaJsd3gCKdD31IPFvswUgW9/60QT9oFHbZHbQK5imcxw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "lightningcss": "^1.32.0",
+        "picomatch": "^4.0.4",
+        "postcss": "^8.5.15",
+        "rolldown": "1.0.2",
+        "tinyglobby": "^0.2.16"
+      },
+      "bin": {
+        "vite": "bin/vite.js"
+      },
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      },
+      "funding": {
+        "url": "https://github.com/vitejs/vite?sponsor=1"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.3"
+      },
+      "peerDependencies": {
+        "@types/node": "^20.19.0 || >=22.12.0",
+        "@vitejs/devtools": "^0.1.18",
+        "esbuild": "^0.27.0 || ^0.28.0",
+        "jiti": ">=1.21.0",
+        "less": "^4.0.0",
+        "sass": "^1.70.0",
+        "sass-embedded": "^1.70.0",
+        "stylus": ">=0.54.8",
+        "sugarss": "^5.0.0",
+        "terser": "^5.16.0",
+        "tsx": "^4.8.1",
+        "yaml": "^2.4.2"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "@vitejs/devtools": {
+          "optional": true
+        },
+        "esbuild": {
+          "optional": true
+        },
+        "jiti": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "sass-embedded": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        },
+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
+        }
+      }
+    }
+  }
+}
diff --git a/examples/multi-worker/ui-worker/deixis/client/package.json b/examples/multi-worker/ui-worker/deixis/client/package.json
new file mode 100644
index 000000000..902540e6d
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/package.json
@@ -0,0 +1,18 @@
+{
+  "name": "deixis-client",
+  "private": true,
+  "version": "0.1.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "@pipecat-ai/client-js": "1.9.0",
+    "@pipecat-ai/small-webrtc-transport": "^1.10.2"
+  },
+  "devDependencies": {
+    "vite": "^8"
+  }
+}
diff --git a/examples/multi-worker/ui-worker/deixis/client/styles.css b/examples/multi-worker/ui-worker/deixis/client/styles.css
new file mode 100644
index 000000000..8c533fc37
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/styles.css
@@ -0,0 +1,138 @@
+:root {
+  color-scheme: light;
+  font-family:
+    Charter,
+    Georgia,
+    "Iowan Old Style",
+    serif;
+  --border: #d4d4d8;
+  --muted: #71717a;
+  --selection: #fde68a;
+}
+
+* {
+  box-sizing: border-box;
+}
+
+body {
+  margin: 0;
+  background: #fafafa;
+  color: #18181b;
+}
+
+header {
+  position: sticky;
+  top: 0;
+  z-index: 10;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 1rem 1.5rem;
+  border-bottom: 1px solid var(--border);
+  background: #fff;
+  font-family: system-ui, -apple-system, sans-serif;
+}
+
+header h1 {
+  font-size: 1.125rem;
+  margin: 0;
+  letter-spacing: 0.01em;
+}
+
+#connect {
+  padding: 0.5rem 1rem;
+  border: 1px solid var(--border);
+  background: #fff;
+  border-radius: 6px;
+  cursor: pointer;
+  font-size: 0.875rem;
+  font-family: system-ui, -apple-system, sans-serif;
+}
+
+#connect:hover {
+  background: #f4f4f5;
+}
+
+#connect[data-state="connected"] {
+  background: #ef4444;
+  color: white;
+  border-color: #ef4444;
+}
+
+main {
+  max-width: 720px;
+  margin: 0 auto;
+  padding: 2rem 1.5rem 4rem;
+}
+
+article h2 {
+  margin: 0 0 1rem;
+  font-size: 1.875rem;
+  line-height: 1.2;
+  letter-spacing: -0.01em;
+}
+
+article p {
+  margin: 0 0 1.25rem;
+  font-size: 1.125rem;
+  line-height: 1.7;
+  color: #27272a;
+}
+
+article p.lede {
+  font-size: 1rem;
+  line-height: 1.6;
+  color: var(--muted);
+  font-style: italic;
+  margin-bottom: 2rem;
+  border-left: 3px solid var(--border);
+  padding-left: 1rem;
+}
+
+/* Make the user's text selection (and the agent's programmatic
+   selection) visually distinct. The same color is used for both —
+   the agent and the user are pointing at the same thing. */
+::selection {
+  background: var(--selection);
+  color: #18181b;
+}
+
+/* Brief background flash when the agent calls ``highlight`` on a
+   paragraph. Distinct from ``select_text`` (which uses the OS-level
+   text selection) so the agent has two different visual idioms:
+   "I'm pointing at this content" (select) vs "look at this fact"
+   (flash). */
+@keyframes flash-fade {
+  0% {
+    background: var(--selection);
+  }
+  100% {
+    background: transparent;
+  }
+}
+
+.flash {
+  animation: flash-fade 1.5s ease-out;
+  border-radius: 4px;
+  margin-left: -0.25rem;
+  padding-left: 0.25rem;
+}
+
+#status {
+  position: fixed;
+  bottom: 1rem;
+  right: 1rem;
+  padding: 0.5rem 0.75rem;
+  border-radius: 6px;
+  font-size: 0.8125rem;
+  font-family: system-ui, -apple-system, sans-serif;
+  background: #18181b;
+  color: white;
+  opacity: 0;
+  transition: opacity 0.2s;
+  pointer-events: none;
+}
+
+#status[data-show="1"] {
+  opacity: 1;
+}
diff --git a/examples/multi-worker/ui-worker/deixis/client/vite.config.js b/examples/multi-worker/ui-worker/deixis/client/vite.config.js
new file mode 100644
index 000000000..99a600b50
--- /dev/null
+++ b/examples/multi-worker/ui-worker/deixis/client/vite.config.js
@@ -0,0 +1,7 @@
+import { defineConfig } from "vite";
+
+export default defineConfig({
+  server: {
+    port: 5173,
+  },
+});