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Refactoring pipecat agent.

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This commit is contained in:
Filipi Fuchter
2025-11-28 07:47:39 -03:00
parent bffdf43fd4
commit b8a89589d6
4 changed files with 17 additions and 235 deletions
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102
examples/aws-agentcore/agents/pipecat/pipecat.py → examples/aws-agentcore/agents/pipecat/pipecat-agent.py
View File

@@ -6,17 +6,11 @@
import os import os
import aiohttp
from bedrock_agentcore import BedrockAgentCoreApp from bedrock_agentcore import BedrockAgentCoreApp
from dotenv import load_dotenv from dotenv import load_dotenv
from loguru import logger from loguru import logger
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
from pipecat.audio.vad.silero import SileroVADAnalyzer from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams from pipecat.frames.frames import LLMRunFrame
from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -26,7 +20,6 @@ from pipecat.runner.types import DailyRunnerArguments, RunnerArguments
from pipecat.runner.utils import create_transport from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMService from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyLogLevel, DailyParams, DailyTransport from pipecat.transports.daily.transport import DailyLogLevel, DailyParams, DailyTransport
@@ -36,30 +29,6 @@ app = BedrockAgentCoreApp()
load_dotenv(override=True) load_dotenv(override=True)
async def get_public_ip():
"""Retrieve public IP from AWS metadata service or external service."""
try:
# Fallback to external service
async with aiohttp.ClientSession() as session:
async with session.get(
"https://api.ipify.org", timeout=aiohttp.ClientTimeout(total=5)
) as response:
if response.status == 200:
return await response.text()
except Exception:
pass
return None
async def fetch_weather_from_api(params: FunctionCallParams):
await params.result_callback({"conditions": "nice", "temperature": "75"})
async def fetch_restaurant_recommendation(params: FunctionCallParams):
await params.result_callback({"name": "The Golden Dragon"})
# We store functions so objects (e.g. SileroVADAnalyzer) don't get # We store functions so objects (e.g. SileroVADAnalyzer) don't get
# instantiated. The function will be called when the desired transport gets # instantiated. The function will be called when the desired transport gets
# selected. # selected.
@@ -67,14 +36,12 @@ transport_params = {
"daily": lambda: DailyParams( "daily": lambda: DailyParams(
audio_in_enabled=True, audio_in_enabled=True,
audio_out_enabled=True, audio_out_enabled=True,
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), vad_analyzer=SileroVADAnalyzer(),
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
), ),
"webrtc": lambda: TransportParams( "webrtc": lambda: TransportParams(
audio_in_enabled=True, audio_in_enabled=True,
audio_out_enabled=True, audio_out_enabled=True,
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), vad_analyzer=SileroVADAnalyzer(),
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
), ),
} }
@@ -82,13 +49,7 @@ transport_params = {
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot") logger.info(f"Starting bot")
public_ip = await get_public_ip() yield {"status": "initializing bot!"}
if public_ip:
logger.info(f"Public IP address: {public_ip}")
else:
logger.warning("Could not retrieve public IP address")
yield {"status": "initializing", "ip": public_ip}
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -99,44 +60,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
# You can also register a function_name of None to get all functions
# sent to the same callback with an additional function_name parameter.
llm.register_function("get_current_weather", fetch_weather_from_api)
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
@llm.event_handler("on_function_calls_started")
async def on_function_calls_started(service, function_calls):
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
properties={
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"format": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
"description": "The temperature unit to use. Infer this from the user's location.",
},
},
required=["location", "format"],
)
restaurant_function = FunctionSchema(
name="get_restaurant_recommendation",
description="Get a restaurant recommendation",
properties={
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
},
required=["location"],
)
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
messages = [ messages = [
{ {
"role": "system", "role": "system",
@@ -144,7 +67,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
}, },
] ]
context = LLMContext(messages, tools) context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(context) context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline( pipeline = Pipeline(
@@ -190,13 +113,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
yield {"status": "completed"} yield {"status": "completed"}
async def bot(runner_args: RunnerArguments):
"""Bot entry point for running locally and on Pipecat Cloud."""
transport = await create_transport(runner_args, transport_params)
async for result in run_bot(transport, runner_args):
pass # Consume the stream
@app.entrypoint @app.entrypoint
async def agentcore_bot(payload, context): async def agentcore_bot(payload, context):
"""Bot entry point for running on Amazon Bedrock AgentCore Runtime.""" """Bot entry point for running on Amazon Bedrock AgentCore Runtime."""
@@ -229,6 +145,14 @@ async def agentcore_bot(payload, context):
yield result yield result
# Used for local development
async def bot(runner_args: RunnerArguments):
"""Bot entry point for running locally and on Pipecat Cloud."""
transport = await create_transport(runner_args, transport_params)
async for result in run_bot(transport, runner_args):
pass # Consume the stream
if __name__ == "__main__": if __name__ == "__main__":
# NOTE: ideally we shouldn't have to branch for local dev vs AgentCore, but # NOTE: ideally we shouldn't have to branch for local dev vs AgentCore, but
# local AgentCore container-based dev doesn't seem to be working, or at # local AgentCore container-based dev doesn't seem to be working, or at

2
examples/aws-agentcore/agents/pipecat/requirements.txt
View File

@@ -1,3 +1,3 @@
aiohttp aiohttp
bedrock-agentcore bedrock-agentcore
pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,local-smart-turn-v3,runner] pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,runner]

2
examples/aws-agentcore/pyproject.toml
View File

@@ -8,7 +8,7 @@ dependencies = [
"aiohttp", "aiohttp",
"bedrock-agentcore", "bedrock-agentcore",
"python-dotenv", "python-dotenv",
"pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,local-smart-turn-v3,runner]", "pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,runner]",
] ]
[dependency-groups] [dependency-groups]

146
examples/aws-agentcore/uv.lock generated
View File

@@ -23,7 +23,7 @@ dependencies = [
{ name = "aiohttp" }, { name = "aiohttp" },
{ name = "aioice" }, { name = "aioice" },
{ name = "bedrock-agentcore" }, { name = "bedrock-agentcore" },
{ name = "pipecat-ai", extra = ["cartesia", "daily", "deepgram", "local-smart-turn-v3", "openai", "runner", "silero", "webrtc"] }, { name = "pipecat-ai", extra = ["cartesia", "daily", "deepgram", "openai", "runner", "silero", "webrtc"] },
{ name = "python-dotenv" }, { name = "python-dotenv" },
] ]
@@ -39,7 +39,7 @@ requires-dist = [
{ name = "aiohttp" }, { name = "aiohttp" },
{ name = "aioice" }, { name = "aioice" },
{ name = "bedrock-agentcore" }, { name = "bedrock-agentcore" },
{ name = "pipecat-ai", extras = ["webrtc", "daily", "silero", "deepgram", "openai", "cartesia", "local-smart-turn-v3", "runner"] }, { name = "pipecat-ai", extras = ["webrtc", "daily", "silero", "deepgram", "openai", "cartesia", "runner"] },
{ name = "python-dotenv" }, { name = "python-dotenv" },
] ]
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