diff --git a/examples/aws-agentcore/agents/pipecat/pipecat.py b/examples/aws-agentcore/agents/pipecat/pipecat-agent.py similarity index 61% rename from examples/aws-agentcore/agents/pipecat/pipecat.py rename to examples/aws-agentcore/agents/pipecat/pipecat-agent.py index 0b8481144..58604f4be 100644 --- a/examples/aws-agentcore/agents/pipecat/pipecat.py +++ b/examples/aws-agentcore/agents/pipecat/pipecat-agent.py @@ -6,17 +6,11 @@ import os -import aiohttp from bedrock_agentcore import BedrockAgentCoreApp from dotenv import load_dotenv 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.vad_analyzer import VADParams -from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame +from pipecat.frames.frames import LLMRunFrame from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner 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.services.cartesia.tts import CartesiaTTSService from pipecat.services.deepgram.stt import DeepgramSTTService -from pipecat.services.llm_service import FunctionCallParams from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.daily.transport import DailyLogLevel, DailyParams, DailyTransport @@ -36,30 +29,6 @@ app = BedrockAgentCoreApp() 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 # instantiated. The function will be called when the desired transport gets # selected. @@ -67,14 +36,12 @@ transport_params = { "daily": lambda: DailyParams( audio_in_enabled=True, audio_out_enabled=True, - vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), - turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()), + vad_analyzer=SileroVADAnalyzer(), ), "webrtc": lambda: TransportParams( audio_in_enabled=True, audio_out_enabled=True, - vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), - turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()), + vad_analyzer=SileroVADAnalyzer(), ), } @@ -82,13 +49,7 @@ transport_params = { async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): logger.info(f"Starting bot") - public_ip = await get_public_ip() - 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} + yield {"status": "initializing bot!"} 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")) - # 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 = [ { "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) pipeline = Pipeline( @@ -190,13 +113,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): 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 async def agentcore_bot(payload, context): """Bot entry point for running on Amazon Bedrock AgentCore Runtime.""" @@ -229,6 +145,14 @@ async def agentcore_bot(payload, context): 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__": # 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 diff --git a/examples/aws-agentcore/agents/pipecat/requirements.txt b/examples/aws-agentcore/agents/pipecat/requirements.txt index a451ef1a5..1d741b3e9 100644 --- a/examples/aws-agentcore/agents/pipecat/requirements.txt +++ b/examples/aws-agentcore/agents/pipecat/requirements.txt @@ -1,3 +1,3 @@ aiohttp bedrock-agentcore -pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,local-smart-turn-v3,runner] \ No newline at end of file +pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,runner] \ No newline at end of file diff --git a/examples/aws-agentcore/pyproject.toml b/examples/aws-agentcore/pyproject.toml index 0dadd7427..0ff301b89 100644 --- a/examples/aws-agentcore/pyproject.toml +++ b/examples/aws-agentcore/pyproject.toml @@ -8,7 +8,7 @@ dependencies = [ "aiohttp", "bedrock-agentcore", "python-dotenv", - 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