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Update examples to use the class Settings alias

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This commit is contained in:
Mark Backman
2026-03-07 09:15:24 -05:00
parent 26631a9c31
commit cd28c82de3
264 changed files with 1172 additions and 1155 deletions
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12
examples/foundational/14v-function-calling-openai.py
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@@ -24,9 +24,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
from pipecat.services.openai.stt import OpenAISTTService, OpenAISTTSettings
from pipecat.services.openai.tts import OpenAITTSService, OpenAITTSSettings
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.openai.stt import OpenAISTTService
from pipecat.services.openai.tts import OpenAITTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -65,7 +65,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
stt = OpenAISTTService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAISTTSettings(
settings=OpenAISTTService.Settings(
model="gpt-4o-transcribe",
prompt="Expect words related weather, such as temperature and conditions. And restaurant names.",
),
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
tts = OpenAITTSService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAITTSSettings(
settings=OpenAITTSService.Settings(
voice="ballad",
),
instructions="Please speak clearly and at a moderate pace.",
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# model choices: gpt-4o, gpt-4.1, etc.
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAILLMSettings(
settings=OpenAILLMService.Settings(
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.",
),
)