POC: Add MoQ transport

examples/transports/transports-moq.py

@@ -0,0 +1,209 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""MOQ (Media over QUIC) transport example.
+
+This example demonstrates using the MOQ transport for real-time voice
+conversations over QUIC, connecting to a MOQ relay server. It uses the
+unified runner pattern that works with Daily, WebRTC, and MOQ transports.
+
+MOQ provides WebRTC-like latency without WebRTC constraints, using QUIC
+for prioritization and partial reliability.
+
+Requirements:
+    uv sync --extra moq --extra silero --extra deepgram --extra cartesia \
+        --extra openai --extra runner
+
+    # You also need a MOQ relay running locally. Clone moq-relay from
+    # https://github.com/kixelated/moq and then run scripts/moq-dev-setup.sh
+    # from this repo, pointing at the relay checkout. The script generates
+    # a self-signed cert, symlinks it into both repos, and prints the
+    # exact relay + bot run commands to copy.
+    #
+    #   git clone https://github.com/kixelated/moq.git ../moq
+    #   ./scripts/moq-dev-setup.sh ../moq
+    #
+    # Then in two terminals run the commands the script printed (relay
+    # binds QUIC on UDP [::]:4080 with --auth-public '').
+
+Usage:
+    # Run with MOQ transport (connects to local relay set up by the script):
+    uv run python examples/transports/transports-moq.py \\
+        -t moq --moq-cert moq-cert.pem --moq-insecure --moq-path /
+
+    # Connect to a remote relay (CA-signed cert, no pinning needed):
+    uv run python examples/transports/transports-moq.py \\
+        -t moq --moq-host moq.example.com
+
+    # With a custom namespace (different "room"):
+    uv run python examples/transports/transports-moq.py \\
+        -t moq --moq-cert moq-cert.pem --moq-insecure --moq-namespace my-room
+
+    # Then open the browser client at http://localhost:7860 and click Connect.
+
+    # Can also run with other transports (no relay needed):
+    uv run python examples/transports/transports-moq.py -t webrtc
+    uv run python examples/transports/transports-moq.py -t daily
+"""
+
+import os
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
+from pipecat.runner.types import MOQRunnerArguments, 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.openai.llm import OpenAILLMService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.moq import MOQParams
+from pipecat.transports.moq.protocol import MOQRole
+
+load_dotenv(override=True)
+
+# Transport-specific parameters using lambdas for deferred creation
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+    ),
+    "moq": lambda: MOQParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        role=MOQRole.PUBSUB,
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    """Run the bot with the given transport."""
+    logger.info("Starting bot")
+
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
+
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a helpful assistant in a real-time voice call. "
+            "Your goal is to demonstrate your capabilities in a succinct way. "
+            "Your output will be spoken aloud, so avoid special characters that can't easily be "
+            "spoken, such as emojis or bullet points. Respond to what the user said in a creative "
+            "and helpful way.",
+        },
+    ]
+
+    context = LLMContext(messages)
+    user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
+        context,
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
+    )
+
+    pipeline = Pipeline(
+        [
+            transport.input(),  # Transport user input
+            stt,
+            user_aggregator,  # User responses
+            llm,  # LLM
+            tts,  # TTS
+            transport.output(),  # Transport bot output
+            assistant_aggregator,  # Assistant spoken responses
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    # For MOQ, we need to handle connection and events differently
+    if isinstance(runner_args, MOQRunnerArguments):
+        @transport.event_handler("on_connected")
+        async def on_connected(transport):
+            logger.info("Connected to MOQ relay (waiting for client to join)")
+            if runner_args.ready_event is not None:
+                runner_args.ready_event.set()
+
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport):
+            logger.info("Client subscribed — starting conversation")
+            messages.append(
+                {"role": "system", "content": "Please introduce yourself to the user."}
+            )
+            await task.queue_frames([LLMRunFrame()])
+
+        @transport.event_handler("on_disconnected")
+        async def on_disconnected(transport):
+            logger.info("Disconnected from MOQ relay")
+            await task.cancel()
+
+        @transport.event_handler("on_error")
+        async def on_error(transport, message, exception):
+            logger.error(f"MOQ error: {message}")
+
+        # MOQInputTransport.start() auto-connects to the relay when the
+        # pipeline starts, so we don't dial transport.connect() here.
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+        try:
+            await runner.run(task)
+        finally:
+            await transport.disconnect()
+    else:
+        # Daily and WebRTC use on_client_connected/on_client_disconnected
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport, client):
+            logger.info("Client connected")
+            messages.append(
+                {"role": "system", "content": "Please introduce yourself to the user."}
+            )
+            await task.queue_frames([LLMRunFrame()])
+
+        @transport.event_handler("on_client_disconnected")
+        async def on_client_disconnected(transport, client):
+            logger.info("Client disconnected")
+            await task.cancel()
+
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat runner."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()