Update examples

examples/foundational/14p-function-calling-gemini-vertex-ai.py

@@ -25,7 +25,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
+from pipecat.services.elevenlabs.tts import ElevenLabsTTSService, ElevenLabsTTSSettings
 from pipecat.services.google.llm_vertex import GoogleVertexLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -64,13 +64,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = ElevenLabsTTSService(
         api_key=os.getenv("ELEVENLABS_API_KEY", ""),
-        voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
+        settings=ElevenLabsTTSSettings(
+            voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
+        ),
     )
 
     llm = GoogleVertexLLMService(
         credentials=os.getenv("GOOGLE_VERTEX_TEST_CREDENTIALS"),
         project_id=os.getenv("GOOGLE_CLOUD_PROJECT_ID"),
         location=os.getenv("GOOGLE_CLOUD_LOCATION"),
+        system_instruction="You are a helpful LLM in a WebRTC 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.",
     )
     # You can aslo register a function_name of None to get all functions
     # sent to the same callback with an additional function_name parameter.