Update examples

examples/foundational/33-gemini-rag.py

@@ -69,9 +69,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.google.llm import GoogleLLMService
+from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -183,11 +183,24 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        voice_id="f9836c6e-a0bd-460e-9d3c-f7299fa60f94",  # Southern Lady
+        settings=CartesiaTTSSettings(
+            voice="f9836c6e-a0bd-460e-9d3c-f7299fa60f94",  # Southern Lady
+        ),
     )
 
+    system_prompt = """\
+You are a helpful assistant who converses with a user and answers questions.
+
+You have access to the tool, query_knowledge_base, that allows you to query the knowledge base for the answer to the user's question.
+
+Your response will be turned into speech so use only simple words and punctuation.
+"""
+
     llm = GoogleLLMService(
-        model=VOICE_MODEL,
+        settings=GoogleLLMSettings(
+            model=VOICE_MODEL,
+        ),
+        system_instruction=system_prompt,
         api_key=os.getenv("GOOGLE_API_KEY"),
     )
     llm.register_function("query_knowledge_base", query_knowledge_base)
@@ -205,15 +218,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     )
     tools = ToolsSchema(standard_tools=[query_function])
 
-    system_prompt = """\
-You are a helpful assistant who converses with a user and answers questions.
-
-You have access to the tool, query_knowledge_base, that allows you to query the knowledge base for the answer to the user's question.
-
-Your response will be turned into speech so use only simple words and punctuation.
-"""
     messages = [
-        {"role": "system", "content": system_prompt},
         {"role": "user", "content": "Greet the user."},
     ]