Merge pull request #2831 from pipecat-ai/mb/update-evals
Update release evals for OpenAI Realtime, Gemini Live Vertex; shorten…
This commit is contained in:
Mark Backman
10
CHANGELOG.md
10
CHANGELOG.md
@@ -1487,7 +1487,7 @@ quality and critical bugs impacting `ParallelPipelines` functionality.**
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- Added `session_token` parameter to `AWSNovaSonicLLMService`.
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- Added Gemini Multimodal Live File API for uploading, fetching, listing, and
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deleting files. See `26f-gemini-multimodal-live-files-api.py` for example usage.
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deleting files. See `26f-gemini-live-files-api.py` for example usage.
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### Changed
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@@ -3493,7 +3493,7 @@ stt = DeepgramSTTService(..., live_options=LiveOptions(model="nova-2-general"))
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- Added the new modalities option and helper function to set Gemini output
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modalities.
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- Added `examples/foundational/26d-gemini-multimodal-live-text.py` which is
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- Added `examples/foundational/26d-gemini-live-text.py` which is
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using Gemini as TEXT modality and using another TTS provider for TTS process.
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### Changed
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@@ -3680,9 +3680,9 @@ stt = DeepgramSTTService(..., live_options=LiveOptions(model="nova-2-general"))
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- Added new foundational examples for `GeminiMultimodalLiveLLMService`:
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- `26-gemini-multimodal-live.py`
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- `26a-gemini-multimodal-live-transcription.py`
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- `26b-gemini-multimodal-live-video.py`
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- `26c-gemini-multimodal-live-video.py`
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- `26a-gemini-live-transcription.py`
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- `26b-gemini-live-video.py`
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- `26c-gemini-live-video.py`
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- Added `SimliVideoService`. This is an integration for Simli AI avatars.
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(see https://www.simli.com)
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@@ -122,7 +122,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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required=["location"],
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)
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search_tool = {"google_search": {}}
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# KNOWN ISSUE: If using GeminiVertexMultimodalLiveLLMService, it appears
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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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# See https://github.com/googleapis/python-genai/issues/941.
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tools = ToolsSchema(
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@@ -80,7 +80,7 @@ transport_params = {
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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# KNOWN ISSUE: If using GeminiVertexMultimodalLiveLLMService, it appears
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# KNOWN ISSUE: If using GeminiVertexLiveLLMService, it appears
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# you cannot specify a modality other than AUDIO.
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llm = GeminiLiveLLMService(
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api_key=os.getenv("GOOGLE_API_KEY"),
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191
examples/foundational/26h-gemini-live-vertex-function-calling.py
Normal file
191
examples/foundational/26h-gemini-live-vertex-function-calling.py
Normal file
@@ -0,0 +1,191 @@
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#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import os
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from datetime import datetime
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from dotenv import load_dotenv
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from google.genai.types import HttpOptions
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from loguru import logger
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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.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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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService
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from pipecat.services.google.gemini_live.llm_vertex import GeminiLiveVertexLLMService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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load_dotenv(override=True)
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async def fetch_weather_from_api(params: FunctionCallParams):
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temperature = 75 if params.arguments["format"] == "fahrenheit" else 24
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await params.result_callback(
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{
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"conditions": "nice",
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"temperature": temperature,
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"format": params.arguments["format"],
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"timestamp": datetime.now().strftime("%Y%m%d_%H%M%S"),
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}
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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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system_instruction = """
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You are a helpful assistant who can answer questions and use tools.
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You have three tools available to you:
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1. get_current_weather: Use this tool to get the current weather in a specific location.
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2. get_restaurant_recommendation: Use this tool to get a restaurant recommendation in a specific location.
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"""
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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"twilio": lambda: FastAPIWebsocketParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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"webrtc": lambda: TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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}
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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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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properties={
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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"format": {
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"type": "string",
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"enum": ["celsius", "fahrenheit"],
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"description": "The temperature unit to use. Infer this from the user's location.",
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},
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},
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required=["location", "format"],
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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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properties={
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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},
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required=["location"],
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)
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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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# See https://github.com/googleapis/python-genai/issues/941.
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tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
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llm = GeminiLiveVertexLLMService(
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credentials=os.getenv("GOOGLE_VERTEX_TEST_CREDENTIALS"),
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project_id=os.getenv("GOOGLE_CLOUD_PROJECT_ID"),
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location=os.getenv("GOOGLE_CLOUD_LOCATION"),
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system_instruction=system_instruction,
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voice_id="Puck", # Aoede, Charon, Fenrir, Kore, Puck
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tools=tools,
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)
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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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context = OpenAILLMContext(
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[{"role": "user", "content": "Say hello."}],
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)
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context_aggregator = llm.create_context_aggregator(context)
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pipeline = Pipeline(
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[
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transport.input(),
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context_aggregator.user(),
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llm,
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transport.output(),
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context_aggregator.assistant(),
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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)
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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# Kick off the conversation.
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await task.queue_frames([LLMRunFrame()])
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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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await task.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport, runner_args)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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@@ -1,133 +0,0 @@
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#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import os
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from dotenv import load_dotenv
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from loguru import logger
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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 LLMMessagesAppendFrame
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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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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.google.gemini_live.llm_vertex import GeminiLiveVertexLLMService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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# Load environment variables
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load_dotenv(override=True)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
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# instantiated. The function will be called when the desired transport gets
|
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# selected.
|
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transport_params = {
|
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"daily": lambda: DailyParams(
|
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audio_in_enabled=True,
|
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audio_out_enabled=True,
|
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# set stop_secs to something roughly similar to the internal setting
|
||||
# of the Multimodal Live api, just to align events.
|
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
|
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),
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"twilio": lambda: FastAPIWebsocketParams(
|
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audio_in_enabled=True,
|
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audio_out_enabled=True,
|
||||
# set stop_secs to something roughly similar to the internal setting
|
||||
# of the Multimodal Live api, just to align events.
|
||||
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
|
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),
|
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"webrtc": lambda: TransportParams(
|
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audio_in_enabled=True,
|
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audio_out_enabled=True,
|
||||
# set stop_secs to something roughly similar to the internal setting
|
||||
# of the Multimodal Live api, just to align events.
|
||||
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
|
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),
|
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}
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|
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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# Create the Gemini Vertex Multimodal Live LLM service
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system_instruction = f"""
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You are a helpful AI assistant.
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Your goal is to demonstrate your capabilities in a helpful and engaging way.
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Your output will be converted to audio so don't include special characters in your answers.
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Respond to what the user said in a creative and helpful way.
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"""
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llm = GeminiLiveVertexLLMService(
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credentials=os.getenv("GOOGLE_VERTEX_TEST_CREDENTIALS"),
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project_id=os.getenv("GOOGLE_CLOUD_PROJECT_ID"),
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location=os.getenv("GOOGLE_CLOUD_LOCATION"),
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system_instruction=system_instruction,
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voice_id="Puck", # Aoede, Charon, Fenrir, Kore, Puck
|
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)
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# Build the pipeline
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pipeline = Pipeline(
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[
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transport.input(),
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llm,
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transport.output(),
|
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]
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)
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# Configure the pipeline task
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
|
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),
|
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
|
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)
|
||||
|
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# Handle client connection event
|
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@transport.event_handler("on_client_connected")
|
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async def on_client_connected(transport, client):
|
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logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
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await task.queue_frames(
|
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[
|
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LLMMessagesAppendFrame(
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messages=[
|
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{
|
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"role": "user",
|
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"content": f"Greet the user and introduce yourself.",
|
||||
}
|
||||
]
|
||||
)
|
||||
]
|
||||
)
|
||||
|
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# Handle client disconnection events
|
||||
@transport.event_handler("on_client_disconnected")
|
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async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
|
||||
# Run the pipeline
|
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
"""Main bot entry point compatible with Pipecat Cloud."""
|
||||
transport = await create_transport(runner_args, transport_params)
|
||||
await run_bot(transport, runner_args)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.runner.run import main
|
||||
|
||||
main()
|
||||
@@ -105,7 +105,7 @@ uv run 07-interruptible.py -t twilio -x NGROK_HOST_NAME
|
||||
### Vision & Multimodal
|
||||
|
||||
- **[12a-describe-video-gemini-flash.py](./12a-describe-video-gemini-flash.py)**: Bot describes user's video (Video input, Multimodal LLMs)
|
||||
- **[26c-gemini-multimodal-live-video.py](./26c-gemini-multimodal-live-video.py)**: Gemini with video input (Streaming video, Function calls)
|
||||
- **[26c-gemini-live-video.py](./26c-gemini-live-video.py)**: Gemini with video input (Streaming video, Function calls)
|
||||
|
||||
### Voice & Language
|
||||
|
||||
|
||||
@@ -147,7 +147,10 @@ TESTS_15 = [
|
||||
]
|
||||
|
||||
TESTS_19 = [
|
||||
("19-openai-realtime.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
("19-openai-realtime-beta.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
# OpenAI Realtime not released on Azure yet
|
||||
# ("19a-azure-realtime.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
("19a-azure-realtime-beta.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
("19b-openai-realtime-text.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
("19b-openai-realtime-beta-text.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||
@@ -160,18 +163,18 @@ TESTS_21 = [
|
||||
TESTS_26 = [
|
||||
("26-gemini-multimodal-live.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST),
|
||||
(
|
||||
"26a-gemini-multimodal-live-transcription.py",
|
||||
"26a-gemini-live-transcription.py",
|
||||
PROMPT_SIMPLE_MATH,
|
||||
EVAL_SIMPLE_MATH,
|
||||
BOT_SPEAKS_FIRST,
|
||||
),
|
||||
(
|
||||
"26b-gemini-multimodal-live-function-calling.py",
|
||||
"26b-gemini-live-function-calling.py",
|
||||
PROMPT_WEATHER,
|
||||
EVAL_WEATHER,
|
||||
BOT_SPEAKS_FIRST,
|
||||
),
|
||||
("26c-gemini-multimodal-live-video.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST),
|
||||
("26c-gemini-live-video.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST),
|
||||
(
|
||||
"26e-gemini-multimodal-google-search.py",
|
||||
PROMPT_ONLINE_SEARCH,
|
||||
@@ -179,7 +182,13 @@ TESTS_26 = [
|
||||
BOT_SPEAKS_FIRST,
|
||||
),
|
||||
# Currently not working.
|
||||
# ("26d-gemini-multimodal-live-text.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST),
|
||||
# ("26d-gemini-live-text.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST),
|
||||
(
|
||||
"26h-gemini-live-vertex-function-calling.py",
|
||||
PROMPT_WEATHER,
|
||||
EVAL_WEATHER,
|
||||
BOT_SPEAKS_FIRST,
|
||||
),
|
||||
]
|
||||
|
||||
TESTS_27 = [
|
||||
|
||||
Reference in New Issue
Block a user