Add to the Gemini Live function calling example runtime tool addition with LLMSetToolsFrame
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@@ -57,6 +57,10 @@ async def fetch_weather_from_api(params: FunctionCallParams):
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)
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async def fetch_restaurant_recommendation(params: FunctionCallParams):
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await params.result_callback({"name": "The Golden Dragon"})
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async def get_news(params: FunctionCallParams):
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await params.result_callback(
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{
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@@ -69,10 +73,6 @@ async def get_news(params: FunctionCallParams):
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)
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async def fetch_restaurant_recommendation(params: FunctionCallParams):
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await params.result_callback({"name": "The Golden Dragon"})
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weather_function = FunctionSchema(
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name="get_current_weather",
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description="Get the current weather",
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@@ -90,13 +90,6 @@ weather_function = FunctionSchema(
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required=["location", "format"],
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)
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get_news_function = FunctionSchema(
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name="get_news",
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description="Get the current news.",
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properties={},
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required=[],
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)
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restaurant_function = FunctionSchema(
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name="get_restaurant_recommendation",
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description="Get a restaurant recommendation",
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@@ -109,6 +102,13 @@ restaurant_function = FunctionSchema(
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required=["location"],
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)
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get_news_function = FunctionSchema(
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name="get_news",
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description="Get the current news.",
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properties={},
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required=[],
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)
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# Create tools schema
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tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
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@@ -215,8 +215,9 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
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# Kick off the conversation.
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await task.queue_frames([LLMRunFrame()])
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# Add a new tool at runtime after a delay.
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# Add a new tool (get_news) at runtime after a delay
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await asyncio.sleep(15)
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logger.info(f"Adding new tool get_news at runtime...")
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new_tools = ToolsSchema(
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standard_tools=[weather_function, restaurant_function, get_news_function]
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)
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@@ -5,6 +5,7 @@
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#
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import asyncio
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import os
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from datetime import datetime
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@@ -15,7 +16,7 @@ from pipecat.adapters.schemas.function_schema import FunctionSchema
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from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.audio.vad.vad_analyzer import VADParams
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from pipecat.frames.frames import LLMRunFrame
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from pipecat.frames.frames import LLMRunFrame, LLMSetToolsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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@@ -51,6 +52,18 @@ async def fetch_restaurant_recommendation(params: FunctionCallParams):
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await params.result_callback({"name": "The Golden Dragon"})
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async def get_news(params: FunctionCallParams):
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await params.result_callback(
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{
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"news": [
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"Massive UFO currently hovering above New York City",
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"Stock markets reach all-time highs",
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"Living dinosaur species discovered in the Amazon rainforest",
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],
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}
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)
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system_instruction = """
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You are a helpful assistant who can answer questions and use tools.
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@@ -109,6 +122,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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},
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required=["location"],
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)
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get_news_function = FunctionSchema(
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name="get_news",
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description="Get the current news.",
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properties={},
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required=[],
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)
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search_tool = {"google_search": {}}
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# KNOWN ISSUE: If using GeminiVertexLiveLLMService, it appears
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# you cannot use the "google_search" tool alongside other tools.
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@@ -126,6 +145,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm.register_function("get_current_weather", fetch_weather_from_api)
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llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
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llm.register_function("get_news", get_news)
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# You can provide the system instructions and tools in the context rather
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# than as arguments to GeminiLiveLLMService, but note that doing so will
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@@ -174,6 +194,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Kick off the conversation.
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await task.queue_frames([LLMRunFrame()])
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# Add a new tool (get_news) at runtime after a delay
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await asyncio.sleep(15)
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logger.info(f"Adding new tool get_news at runtime...")
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new_tools = ToolsSchema(
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standard_tools=[weather_function, restaurant_function, get_news_function]
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)
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await task.queue_frames([LLMSetToolsFrame(tools=new_tools)])
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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