1a4a6f4edf
Lays groundwork for cancel_on_interruption=False support on Gemini Live by restructuring _process_completed_function_calls to match the shape used by AWSNovaSonicLLMService and OpenAIRealtimeLLMService in #4441: a single-pass forward iteration over raw context messages that detects async-tool messages via async_tool_messages.parse_message and routes them — started skipped silently, intermediate logged-as-error and surfaced via push_error, final delivered via the formal FunctionResponse channel. Replaces the prior two-pass structure that went through the adapter for sync results — the service now uses a lightweight self._tool_call_id_to_name map (populated when the model issues tool calls) for the name lookup the adapter used to provide. Extracts a new GeminiLLMAdapter.to_function_response_dict static method for the dict-coercion logic that wraps non-dict tool returns as {value: <result>} for Gemini's FunctionResponse.response field; the adapter's existing inline copy in _from_standard_message uses it too. Example consolidation: - Folds realtime-gemini-live-function-calling.py into the base realtime-gemini-live.py example so the base exercises function calling out of the box (matching realtime-openai.py and realtime-aws-nova-sonic.py). - Renames realtime-gemini-live-vertex-function-calling.py to realtime-gemini-live-vertex.py, mirroring the consolidation. - Adds realtime-gemini-live-async-tool.py. - Updates scripts/evals/run-release-evals.py for the renames. This commit alone doesn't make cancel_on_interruption=False fully work on Gemini Live — additional investigation is pending. This is foundational work to be built on.
302 lines
12 KiB
Python
302 lines
12 KiB
Python
#
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# Copyright (c) 2024–2026, 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 argparse
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import asyncio
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import sys
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from datetime import UTC, datetime, timezone
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from pathlib import Path
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from dotenv import load_dotenv
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from eval import EvalConfig, EvalRunner
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from loguru import logger
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from PIL import Image
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from utils import check_env_variables
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load_dotenv(override=True)
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SCRIPT_DIR = Path(__file__).resolve().parent
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ASSETS_DIR = SCRIPT_DIR / "assets"
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FOUNDATIONAL_DIR = SCRIPT_DIR.parent.parent / "examples"
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EVAL_SIMPLE_MATH = EvalConfig(
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prompt="A simple math addition.",
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eval="The user answers the math addition correctly.",
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)
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EVAL_WEATHER = EvalConfig(
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prompt="What's the weather in San Francisco? Temperature should be in Fahrenheit.",
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eval="The user talks about the weather in San Francisco, including the degrees.",
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)
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EVAL_WEATHER_AND_RESTAURANT = EvalConfig(
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prompt="What's the weather in San Francisco, and what's a good restaurant there? Temperature should be in Fahrenheit.",
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eval="The user talks about the weather in San Francisco, including the degrees, and provides a restaurant recommendation.",
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)
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EVAL_ONLINE_SEARCH = EvalConfig(
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prompt="What's the current date in UTC?",
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eval=f"Current date in UTC is {datetime.now(UTC).strftime('%A, %B %d, %Y')}.",
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)
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EVAL_SWITCH_LANGUAGE = EvalConfig(
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prompt="Say something in Spanish.",
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eval="The user talks in Spanish.",
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)
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EVAL_VISION_CAMERA = EvalConfig(
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prompt=("Briefly describe what you see.", Image.open(ASSETS_DIR / "cat.jpg")),
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eval="The user provides a cat description.",
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)
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def EVAL_VISION_IMAGE(*, eval_speaks_first: bool = False):
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return EvalConfig(
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prompt="Briefly describe this image.",
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eval="The user provides a cat description.",
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eval_speaks_first=eval_speaks_first,
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runner_args_body={
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"image_path": ASSETS_DIR / "cat.jpg",
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"question": "Briefly describe this image.",
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},
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)
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EVAL_VOICEMAIL = EvalConfig(
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prompt="Please leave a message.",
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eval="The user provides a reasonable voicemail message.",
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eval_speaks_first=True,
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)
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EVAL_CONVERSATION = EvalConfig(
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prompt="Hello, this is Mark.",
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eval="The user provides any reasonable conversational response to the greeting.",
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eval_speaks_first=True,
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)
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EVAL_FLIGHT_STATUS = EvalConfig(
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prompt="Check the status of flight AA100.",
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eval="The user says something about the status of flight AA100, such as whether it's on time or delayed.",
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)
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EVAL_ORDER = EvalConfig(
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prompt="I'd like to order a chocolate iced doughnut and a regular brewed coffee.",
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eval="The user acknowledges the order of a chocolate iced doughnut and regular brewed coffee.",
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eval_speaks_first=True,
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)
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EVAL_COMPLETE_TURN = EvalConfig(
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prompt="I would go to Japan because I love the culture and want to try authentic ramen.",
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eval="The user provides a relevant response about Japan or travel, showing the conversation continues normally.",
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)
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TESTS_VOICE = [
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("voice/voice-cartesia.py", EVAL_SIMPLE_MATH),
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("voice/voice-cartesia-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-speechmatics.py", EVAL_SIMPLE_MATH),
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("voice/voice-speechmatics-vad.py", EVAL_SIMPLE_MATH),
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("voice/voice-langchain.py", EVAL_SIMPLE_MATH),
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("voice/voice-deepgram.py", EVAL_SIMPLE_MATH),
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("voice/voice-deepgram-flux.py", EVAL_SIMPLE_MATH),
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("voice/voice-deepgram-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-elevenlabs.py", EVAL_SIMPLE_MATH),
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("voice/voice-elevenlabs-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-xai.py", EVAL_SIMPLE_MATH),
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("voice/voice-xai-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-azure.py", EVAL_SIMPLE_MATH),
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("voice/voice-azure-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-openai.py", EVAL_SIMPLE_MATH),
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("voice/voice-openai-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-gladia.py", EVAL_SIMPLE_MATH),
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("voice/voice-gladia-vad.py", EVAL_SIMPLE_MATH),
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("voice/voice-lmnt.py", EVAL_SIMPLE_MATH),
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("voice/voice-groq.py", EVAL_SIMPLE_MATH),
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("voice/voice-aws.py", EVAL_SIMPLE_MATH),
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("voice/voice-aws-strands.py", EVAL_WEATHER),
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("voice/voice-google-gemini-tts.py", EVAL_SIMPLE_MATH),
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("voice/voice-google.py", EVAL_SIMPLE_MATH),
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("voice/voice-google-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-assemblyai.py", EVAL_SIMPLE_MATH),
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("voice/voice-krisp-viva.py", EVAL_SIMPLE_MATH),
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("voice/voice-rime.py", EVAL_SIMPLE_MATH),
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("voice/voice-rime-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-nvidia.py", EVAL_SIMPLE_MATH),
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("voice/voice-google-audio-in.py", EVAL_SIMPLE_MATH),
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("voice/voice-fish.py", EVAL_SIMPLE_MATH),
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("voice/voice-neuphonic.py", EVAL_SIMPLE_MATH),
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("voice/voice-neuphonic-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-fal.py", EVAL_SIMPLE_MATH),
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("voice/voice-minimax.py", EVAL_SIMPLE_MATH),
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("voice/voice-sarvam.py", EVAL_SIMPLE_MATH),
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("voice/voice-sarvam-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-soniox.py", EVAL_SIMPLE_MATH),
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("voice/voice-inworld.py", EVAL_SIMPLE_MATH),
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("voice/voice-inworld-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-asyncai.py", EVAL_SIMPLE_MATH),
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("voice/voice-asyncai-http.py", EVAL_SIMPLE_MATH),
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("voice/voice-aicoustics.py", EVAL_SIMPLE_MATH),
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("voice/voice-hume.py", EVAL_SIMPLE_MATH),
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("voice/voice-gradium.py", EVAL_SIMPLE_MATH),
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("voice/voice-camb.py", EVAL_SIMPLE_MATH),
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("voice/voice-piper.py", EVAL_SIMPLE_MATH),
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("voice/voice-kokoro.py", EVAL_SIMPLE_MATH),
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("voice/voice-resemble.py", EVAL_SIMPLE_MATH),
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("voice/voice-smallest.py", EVAL_SIMPLE_MATH),
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("voice/voice-mistral.py", EVAL_SIMPLE_MATH),
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("voice/voice-openai-responses.py", EVAL_SIMPLE_MATH),
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("voice/voice-openai-responses-http.py", EVAL_SIMPLE_MATH),
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# Needs a local XTTS docker instance running.
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# ("voice/voice-xtts.py", EVAL_SIMPLE_MATH),
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]
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TESTS_VISION = [
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("vision/vision-openai.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-openai-responses.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-openai-responses-http.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-anthropic.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-aws.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-gemini-flash.py", EVAL_VISION_IMAGE(eval_speaks_first=True)),
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("vision/vision-moondream.py", EVAL_VISION_IMAGE()),
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]
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# For a few major services, we also test parallel function calling.
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# (We don't bother doing this with every single service, as it's expensive and
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# most rely on the same OpenAI-compatible implementation.)
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TESTS_FUNCTION_CALLING = [
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("getting-started/07-function-calling.py", EVAL_WEATHER),
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("getting-started/07-function-calling.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-openai-responses.py", EVAL_WEATHER),
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("function-calling/function-calling-openai-responses.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-openai-responses-http.py", EVAL_WEATHER),
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("function-calling/function-calling-openai-responses-http.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-anthropic.py", EVAL_WEATHER),
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("function-calling/function-calling-anthropic.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-openai.py", EVAL_WEATHER),
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("function-calling/function-calling-google.py", EVAL_WEATHER),
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("function-calling/function-calling-google.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-groq.py", EVAL_WEATHER),
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("function-calling/function-calling-grok.py", EVAL_WEATHER),
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("function-calling/function-calling-azure.py", EVAL_WEATHER),
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("function-calling/function-calling-fireworks.py", EVAL_WEATHER),
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("function-calling/function-calling-nvidia.py", EVAL_WEATHER),
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("function-calling/function-calling-cerebras.py", EVAL_WEATHER),
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("function-calling/function-calling-openrouter.py", EVAL_WEATHER),
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("function-calling/function-calling-perplexity.py", EVAL_WEATHER),
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("function-calling/function-calling-google-vertex.py", EVAL_WEATHER),
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("function-calling/function-calling-qwen.py", EVAL_WEATHER),
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("function-calling/function-calling-aws.py", EVAL_WEATHER),
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("function-calling/function-calling-sambanova.py", EVAL_WEATHER),
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("function-calling/function-calling-aws.py", EVAL_WEATHER_AND_RESTAURANT),
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("function-calling/function-calling-nebius.py", EVAL_WEATHER),
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("function-calling/function-calling-mistral.py", EVAL_WEATHER),
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("function-calling/function-calling-sarvam.py", EVAL_WEATHER),
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("function-calling/function-calling-novita.py", EVAL_WEATHER),
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("function-calling/function-calling-deepseek.py", EVAL_WEATHER),
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# Video
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("function-calling/function-calling-anthropic-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-aws-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-google-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-moondream-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-openai-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-openai-responses-video.py", EVAL_VISION_CAMERA),
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("function-calling/function-calling-openai-responses-video-http.py", EVAL_VISION_CAMERA),
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# Currently not working.
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# ("function-calling/function-calling-together.py", EVAL_WEATHER),
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]
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TESTS_FEATURES = [
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("features/features-switch-languages.py", EVAL_SWITCH_LANGUAGE),
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("features/features-voicemail-detection.py", EVAL_VOICEMAIL),
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("features/features-voicemail-detection.py", EVAL_CONVERSATION),
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("features/features-concurrent-llm-evaluation.py", EVAL_SIMPLE_MATH),
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]
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TESTS_REALTIME = [
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("realtime/realtime-openai.py", EVAL_WEATHER),
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# OpenAI Realtime not released on Azure yet
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# ("realtime/realtime-azure.py", EVAL_WEATHER),
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("realtime/realtime-openai-text.py", EVAL_WEATHER),
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("realtime/realtime-openai-live-video.py", EVAL_VISION_CAMERA),
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("realtime/realtime-gemini-live.py", EVAL_WEATHER),
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("realtime/realtime-gemini-live-local-vad.py", EVAL_SIMPLE_MATH),
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("realtime/realtime-gemini-live-video.py", EVAL_VISION_CAMERA),
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("realtime/realtime-gemini-live-google-search.py", EVAL_ONLINE_SEARCH),
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("realtime/realtime-gemini-live-vertex.py", EVAL_WEATHER),
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("realtime/realtime-aws-nova-sonic.py", EVAL_SIMPLE_MATH),
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("realtime/realtime-ultravox.py", EVAL_ORDER),
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("realtime/realtime-grok.py", EVAL_WEATHER),
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]
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TESTS_VIDEO_AVATAR = [
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("video-avatar/video-avatar-tavus-video-service.py", EVAL_SIMPLE_MATH),
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("video-avatar/video-avatar-heygen-video-service.py", EVAL_SIMPLE_MATH),
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("video-avatar/video-avatar-simli-video-service.py", EVAL_SIMPLE_MATH),
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("video-avatar/video-avatar-lemonslice-transport.py", EVAL_SIMPLE_MATH),
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]
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TESTS_TURN_MANAGEMENT = [
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("turn-management/turn-management-filter-incomplete-turns.py", EVAL_COMPLETE_TURN),
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]
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TESTS_THINKING = [
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("thinking/thinking-anthropic.py", EVAL_SIMPLE_MATH),
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("thinking/thinking-google.py", EVAL_SIMPLE_MATH),
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("thinking/thinking-functions-anthropic.py", EVAL_FLIGHT_STATUS),
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("thinking/thinking-functions-google.py", EVAL_FLIGHT_STATUS),
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]
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TESTS = [
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*TESTS_VOICE,
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*TESTS_VISION,
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*TESTS_FUNCTION_CALLING,
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*TESTS_FEATURES,
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*TESTS_REALTIME,
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*TESTS_VIDEO_AVATAR,
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*TESTS_TURN_MANAGEMENT,
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*TESTS_THINKING,
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]
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async def main(args: argparse.Namespace):
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if not check_env_variables():
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return
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# Log level
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logger.remove(0)
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log_level = "TRACE" if args.verbose >= 2 else "DEBUG"
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if args.verbose:
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logger.add(sys.stderr, level=log_level)
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runner = EvalRunner(
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examples_dir=FOUNDATIONAL_DIR,
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name=args.name,
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pattern=args.pattern,
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record_audio=args.audio,
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log_level=log_level,
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)
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# Parse test config: (test, prompt, eval, user_speaks_first)
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for test_config in TESTS:
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test, eval_config = test_config
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await runner.run_eval(test, eval_config)
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runner.print_results()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Pipecat Eval Runner")
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parser.add_argument("--audio", "-a", action="store_true", help="Record audio for each test")
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parser.add_argument("--name", "-n", help="Name for the current runner (e.g. 'v.0.0.68')")
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parser.add_argument("--pattern", "-p", help="Only run tests that match the pattern")
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parser.add_argument("--verbose", "-v", action="count", default=0)
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args = parser.parse_args()
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asyncio.run(main(args))
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