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Prefer Service.ThinkingConfig over raw ThinkingConfig class names in Anthropic and Google services and examples

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This commit is contained in:
Paul Kompfner
2026-03-11 12:34:10 -04:00
parent 6b168d6bbb
commit 51a8a28a99
6 changed files with 23 additions and 17 deletions
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4
examples/foundational/49d-thinking-functions-google.py
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@@ -25,7 +25,7 @@ from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.google.llm import GoogleLLMService, GoogleThinkingConfig
from pipecat.services.google.llm import GoogleLLMService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
api_key=os.getenv("GOOGLE_API_KEY"),
# model="gemini-3-pro-preview", # A more powerful reasoning model, but slower
settings=GoogleLLMService.Settings(
thinking=GoogleThinkingConfig(
thinking=GoogleLLMService.ThinkingConfig(
thinking_budget=-1, # Dynamic thinking
include_thoughts=True,
),