rm redundant para.

Author: royalfig

README.md

@@ -12,7 +12,7 @@ The starter project includes:
 - A voice AI pipeline built on [LiveKit Inference](https://docs.livekit.io/agents/models/inference)
   with [models](https://docs.livekit.io/agents/models) from OpenAI, Cartesia, and Deepgram. More than 50 other model providers are supported, including [Realtime models](https://docs.livekit.io/agents/models/realtime)
 - Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/start/testing/)
-- [LiveKit Turn Detector](https://docs.livekit.io/agents/logic/turns/turn-detector/), a multimodal end-of-turn model that listens to the user's audio directly, combining semantic understanding with acoustic cues for state-of-the-art accuracy across 14 languages
+- [LiveKit Turn Detector](https://docs.livekit.io/agents/logic/turns/turn-detector/), an end-of-turn model that listens to the user's audio directly, combining semantic understanding with acoustic cues for state-of-the-art accuracy across 14 languages
 - [Background voice cancellation](https://docs.livekit.io/transport/media/noise-cancellation/)
 - Deep session insights from LiveKit [Agent Observability](https://docs.livekit.io/deploy/observability/)
 - A Dockerfile ready for [production deployment to LiveKit Cloud](https://docs.livekit.io/deploy/agents/)
@@ -92,15 +92,7 @@ lk app env -w -d .env.local
 
 ## Run the agent
 
-Before your first run, download the [ai-coustics noise cancellation](https://docs.livekit.io/transport/media/noise-cancellation/) model used by the agent:
-
-```console
-uv run --module livekit.agents download-files
-```
-
-The [LiveKit turn detector](https://docs.livekit.io/agents/logic/turns/turn-detector/) and the agent's voice activity detection both run on [LiveKit Inference](https://docs.livekit.io/agents/models/inference) and are built into the Agents SDK, so they don't require a separate download.
-
-Next, run this command to speak to your agent directly in your terminal:
+Run this command to speak to your agent directly in your terminal:
 
 ```console
 uv run python src/agent.py console

src/agent.py

@@ -110,12 +110,12 @@ async def my_agent(ctx: JobContext):
             model="cartesia/sonic-3", voice="9626c31c-bec5-4cca-baa8-f8ba9e84c8bc"
         ),
         # The LiveKit turn detector determines when the user is done speaking and the agent should respond.
-        # AudioTurnDetector is a multimodal model that listens to the user's audio directly, combining
+        # TurnDetector is an end-of-turn model that listens to the user's audio directly, combining
         # semantic understanding with acoustic cues (intonation, pitch, rhythm) for state-of-the-art accuracy.
         # AgentSession supplies the required VAD automatically.
         # See more at https://docs.livekit.io/agents/build/turns
         turn_handling=TurnHandlingOptions(
-            turn_detection=inference.AudioTurnDetector(),
+            turn_detection=inference.TurnDetector(),
         ),
         # allow the LLM to generate a response while waiting for the end of turn
         # See more at https://docs.livekit.io/agents/build/audio/#preemptive-generation

taskfile.yaml

@@ -43,7 +43,6 @@ tasks:
       - echo ''
       - echo '{{ indent .INDENT "cd" }} {{ .REL_PATH }}'
       - echo '{{ indent .INDENT "uv sync" }}'
-      - echo '{{ indent .INDENT "uv run --module livekit.agents download-files" }}'
       - echo '{{ indent .INDENT "uv run" }} {{ .PYTHON_MAIN }} console'
 
   help_open_web_console:
@@ -57,7 +56,6 @@ tasks:
       - echo ''
       - echo '{{ indent .INDENT "cd" }} {{ .REL_PATH }}'
       - echo '{{ indent .INDENT "uv sync" }}'
-      - echo '{{ indent .INDENT "uv run --module livekit.agents download-files" }}'
       - echo '{{ indent .INDENT "uv run" }} {{ .PYTHON_MAIN }} dev'
       - echo ''
       - echo 'Then visit:'