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Update examples

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This commit is contained in:
Mark Backman
2026-03-04 22:55:51 -05:00
parent 197885773f
commit 039a8f6c7d
207 changed files with 1241 additions and 852 deletions
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40
examples/foundational/39-mcp-stdio.py
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@@ -36,7 +36,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.anthropic.llm import AnthropicLLMService
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.mcp_service import MCPClient
from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -137,12 +137,25 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
settings=CartesiaTTSSettings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
)
llm = AnthropicLLMService(
api_key=os.getenv("ANTHROPIC_API_KEY"), model="claude-3-7-sonnet-latest"
)
system = f"""
You are a helpful LLM in a WebRTC call.
Your goal is to demonstrate your capabilities in a succinct way.
You have access to tools to search the Rijksmuseum collection.
Offer, for example, to show a floral still life, use the `search_artwork` tool.
The tool may respond with a JSON object with an `artworks` array. Choose the art from that array.
Once the tool has responded, tell the user the title and use the `open_image_in_browser` tool.
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.
Don't overexplain what you are doing.
Just respond with short sentences when you are carrying out tool calls.
"""
llm = AnthropicLLMService(api_key=os.getenv("ANTHROPIC_API_KEY"), system_instruction=system)
try:
mcp = MCPClient(
@@ -169,22 +182,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.error(f"error registering tools")
logger.exception("error trace:")
system = f"""
You are a helpful LLM in a WebRTC call.
Your goal is to demonstrate your capabilities in a succinct way.
You have access to tools to search the Rijksmuseum collection.
Offer, for example, to show a floral still life, use the `search_artwork` tool.
The tool may respond with a JSON object with an `artworks` array. Choose the art from that array.
Once the tool has responded, tell the user the title and use the `open_image_in_browser` tool.
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.
Don't overexplain what you are doing.
Just respond with short sentences when you are carrying out tool calls.
"""
messages = [{"role": "system", "content": system}]
context = LLMContext(messages, tools)
context = LLMContext(tools=tools)
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),