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Examples fixes for Gemini Live

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This commit is contained in:
Mark Backman
2026-03-06 18:42:22 -05:00
parent a97a086dbd
commit 2c85d2056c
12 changed files with 52 additions and 41 deletions
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10
examples/foundational/55zm-update-settings-gemini-live.py
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@@ -19,10 +19,7 @@ from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.google.gemini_live.llm import (
GeminiLiveLLMService,
GeminiLiveLLMSettings,
)
from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService, GeminiLiveLLMSettings
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -53,7 +50,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = GeminiLiveLLMService(
api_key=os.getenv("GOOGLE_API_KEY"),
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.",
settings=GeminiLiveLLMSettings(
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.",
),
)
context = LLMContext()
@@ -81,6 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
await task.queue_frames([LLMRunFrame()])
await asyncio.sleep(10)