Merge pull request #1935 from pipecat-ai/aleix/script-evals
improve evals
This commit is contained in:
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scripts/evals/README.md
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55
scripts/evals/README.md
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# Pipecat Evals
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This directory contains a set of utilities to help test Pipecat, specifically
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its examples.
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## Release Evals
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Before any Pipecat release, we make sure that all (or most) of the examples work
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flawlessly. We have 100+ examples, and checking each one manually was very
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time-consuming (and painful!), especially because we aim to release often.
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To make this process easier, we designed these "release evals," which do the
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following:
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- Start one of the foundational examples (the user bot)
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- Start an eval bot
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The user bot (i.e. the example) introduces itself, and the eval bot then asks a
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question. The user bot replies, and the eval bot verifies the response.
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For example, the eval bot might ask:
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"What's 2 plus 2?"
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The user bot replies:
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"2 plus 2 is 4."
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The eval bot (powered by an LLM) evaluates the response and emits a result. It
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also explains why it thinks the answer is valid or invalid.
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To run the release evals:
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```sh
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python run-release-evals.py -a -v
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```
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This runs all the evals and stores logs and audio (`-a`) for each test.
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You can also specify which tests to run. For example, to run all `07` series
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tests:
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```sh
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python run-release-evals.py -p 07 -a -v
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```
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## Script Evals
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You can also run evals for a single example (not part of the release set):
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```sh
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python run-eval.py YOUR_EXAMPLE_SCRIPT -a -v
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```
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Your script needs to follow any of the foundation examples pattern.
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@@ -9,7 +9,6 @@ import asyncio
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import io
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import os
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import re
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import sys
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import time
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import wave
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from datetime import datetime
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@@ -17,6 +16,7 @@ from pathlib import Path
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from typing import List, Optional
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import aiofiles
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from deepgram import LiveOptions
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from loguru import logger
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from utils import (
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EvalResult,
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@@ -45,12 +45,6 @@ from pipecat.transports.services.daily import DailyParams, DailyTransport
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SCRIPT_DIR = Path(__file__).resolve().parent
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FOUNDATIONAL_DIR = SCRIPT_DIR.parent.parent / "examples" / "foundational"
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sys.path.insert(0, os.path.abspath(FOUNDATIONAL_DIR))
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EVAL_PROMPT = ""
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PIPELINE_IDLE_TIMEOUT_SECS = 30
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@@ -58,11 +52,13 @@ class EvalRunner:
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def __init__(
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self,
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*,
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examples_dir: Path,
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pattern: str = "",
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record_audio: bool = False,
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name: Optional[str] = None,
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log_level: str = "DEBUG",
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):
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self._examples_dir = examples_dir
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self._pattern = f".*{pattern}.*" if pattern else ""
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self._record_audio = record_audio
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self._log_level = log_level
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@@ -79,9 +75,10 @@ class EvalRunner:
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os.makedirs(self._recordings_dir, exist_ok=True)
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async def assert_eval(self, params: FunctionCallParams):
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result = params.arguments["result"]
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reasoning = params.arguments["reasoning"]
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logger.debug(f"🧠 EVAL REASONING: {reasoning}")
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await self._queue.put(params.arguments["result"])
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logger.debug(f"🧠 EVAL REASONING(result: {result}): {reasoning}")
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await self._queue.put(result)
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await params.result_callback(None)
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await params.llm.push_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
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@@ -98,12 +95,14 @@ class EvalRunner:
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print_begin_test(example_file)
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script_path = self._examples_dir / example_file
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start_time = time.time()
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try:
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await asyncio.wait(
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[
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asyncio.create_task(run_example_pipeline(example_file)),
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asyncio.create_task(run_example_pipeline(script_path)),
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asyncio.create_task(run_eval_pipeline(self, example_file, prompt, eval)),
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],
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timeout=90,
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@@ -160,11 +159,9 @@ class EvalRunner:
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return os.path.join(self._recordings_dir, f"{base_name}.wav")
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async def run_example_pipeline(example_file: str):
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async def run_example_pipeline(script_path: Path):
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room_url = os.getenv("DAILY_SAMPLE_ROOM_URL")
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script_path = FOUNDATIONAL_DIR / example_file
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module = load_module_from_path(script_path)
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transport = DailyTransport(
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@@ -199,7 +196,12 @@ async def run_eval_pipeline(
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),
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)
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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# We disable smart formatting because some times if the user says "3 + 2 is
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# 5" (in audio) this can be converted to "32 is 5".
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stt = DeepgramSTTService(
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api_key=os.getenv("DEEPGRAM_API_KEY"),
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live_options=LiveOptions(smart_format=False),
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)
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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50
scripts/evals/run-eval.py
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50
scripts/evals/run-eval.py
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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 argparse
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import asyncio
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import os
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import sys
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from pathlib import Path
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from dotenv import load_dotenv
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from eval import EvalRunner
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from loguru import logger
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from utils import check_env_variables
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load_dotenv(override=True)
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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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script_path = Path(os.path.dirname(os.path.abspath(args.script)))
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script_file = os.path.basename(args.script)
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runner = EvalRunner(examples_dir=script_path, record_audio=args.audio, log_level=log_level)
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await runner.run_eval(script_file, args.prompt, args.eval)
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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("--prompt", "-p", required=True, help="Prompt for this eval")
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parser.add_argument("--eval", "-e", required=False, help="Eval verification")
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parser.add_argument("--verbose", "-v", action="count", default=0)
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parser.add_argument("script", help="Script to run")
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args = parser.parse_args()
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asyncio.run(main(args))
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@@ -8,6 +8,7 @@ import argparse
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import asyncio
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import sys
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from datetime import 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 EvalRunner
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@@ -16,6 +17,11 @@ 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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FOUNDATIONAL_DIR = SCRIPT_DIR.parent.parent / "examples" / "foundational"
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# Math
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PROMPT_SIMPLE_MATH = "A simple math addition."
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@@ -124,6 +130,7 @@ async def main(args: argparse.Namespace):
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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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