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Merge pull request #3952 from pipecat-ai/mb/settings-alias

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Add Settings class attribute alias to all service classes
This commit is contained in:
Mark Backman
2026-03-09 10:45:10 -04:00
committed by GitHub
parent 1e615cd095 f7dc13c0de
commit c16e534f73
349 changed files with 1295 additions and 1160 deletions
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12
examples/foundational/54c-context-summarization-dedicated-llm.py
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@@ -36,11 +36,11 @@ 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, CartesiaTTSSettings
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
from pipecat.services.google.llm import GoogleLLMService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -93,7 +93,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
settings=CartesiaTTSSettings(
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
)
@@ -110,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Primary LLM for conversation (could be any provider)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAILLMSettings(
settings=OpenAILLMService.Settings(
system_instruction=system_prompt,
),
)
@@ -118,7 +118,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Dedicated cheap/fast LLM for summarization only
summarization_llm = GoogleLLMService(
api_key=os.getenv("GOOGLE_API_KEY"),
settings=GoogleLLMSettings(
settings=GoogleLLMService.Settings(
model="gemini-2.5-flash",
),
)