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feat(platform|agent): add support for Speech
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‎demo/tests/Blog/Command/StreamCommandTest.php‎

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use PHPUnit\Framework\TestCase;
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use Symfony\AI\Agent\AgentInterface;
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use Symfony\AI\Platform\Metadata\Metadata;
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use Symfony\AI\Platform\PlainConverter;
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use Symfony\AI\Platform\Result\DeferredResult;
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use Symfony\AI\Platform\Result\InMemoryRawResult;
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use Symfony\AI\Platform\Result\RawResultInterface;
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use Symfony\AI\Platform\Result\ResultInterface;
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use Symfony\AI\Platform\Result\TextResult;
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use Symfony\AI\Platform\Speech\Speech;
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use Symfony\Component\Console\Input\ArrayInput;
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use Symfony\Component\Console\Output\BufferedOutput;
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use Symfony\Component\Console\Style\SymfonyStyle;
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public function setRawResult(RawResultInterface $rawResult): void
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{
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}
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public function addSpeech(?Speech $speech = null): void
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{
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}
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public function getSpeech(): Speech
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{
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return new Speech(new DeferredResult(new PlainConverter(new TextResult('foo')), new InMemoryRawResult()));
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}
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});
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$input = new ArrayInput([]);

‎docs/bundles/ai-bundle.rst‎

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agent: 'ai.agent.youtube'
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message_store: 'ai.message_store.cache.youtube'
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Speech
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------
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Speech can be used to create a `stt` / `tts` / `sts` pipelines, leading to a more "human-like" conversation flow,
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the main drawback is the latency that it can introduce due to network calls.
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Configuring speech
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~~~~~~~~~~~~~~~~~~
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When using the bundle, the configuration allows to configure models and voices::
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ai:
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platform:
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elevenlabs:
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api_key: '%env(ELEVEN_LABS_API_KEY)%'
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openai:
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api_key: '%env(OPENAI_API_KEY)%'
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agent:
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sts_openai:
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platform: ai.platform.openai
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model: gpt-4o
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speech:
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platform: 'ai.platform.elevenlabs'
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tts_model: '%env(ELEVEN_LABS_TTS_MODEL)%'
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tts_options:
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voice: '%env(ELEVEN_LABS_VOICE_IDENTIFIER)%'
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stt_model: '%env(ELEVEN_LABS_STT_MODEL)%'
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.. note::
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The current example is built for "TTS / STT sandwich", a pattern that handles both input and output as audio,
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both STT and TTS can be enabled independently.
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.. _`Symfony AI Agent`: https://github.com/symfony/ai-agent
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.. _`Symfony AI Chat`: https://github.com/symfony/ai-chat
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.. _`Symfony AI Platform`: https://github.com/symfony/ai-platform

‎docs/components/agent.rst‎

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The ``MockAgent`` provides all the benefits of traditional mocks while offering a more intuitive API for AI agent testing,
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making your tests more reliable and easier to maintain.
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Speech support
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~~~~~~~~~~~~~~
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Using speech to send messages / receive answers as audio is a common use case when integrating agents and/or chats,
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this approach allows to either send audio and expect text output or send a text and receive an audio content.
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Another approach is to use stt / tts together to enable a full audio pipeline, this approach introduce some latency
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(as both input/output must be processed) but allows to create a more natural and "human-like" conversation flow.
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Speech support can be enabled using :class:`Symfony\\AI\\Agent\\InputProcessor\\SpeechProcessor` (for `text-to-speech` in this example)::
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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use Symfony\Component\HttpClient\HttpClient;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create('key', httpClient: HttpClient::create());
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$agent = new Agent($platform, 'gpt-4o', outputProcessors: [
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new SpeechProcessor(ElevenLabsPlatformFactory::create(
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apiKey: 'key',
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httpClient: http_client()
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), new SpeechConfiguration([
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'tts_model' => 'eleven_multilingual_v2',
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'tts_options' => [
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'voice' => 'Dslrhjl3ZpzrctukrQSN', // Brad (https://elevenlabs.io/app/voice-library?voiceId=Dslrhjl3ZpzrctukrQSN)
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],
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])),
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]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser('Tina has one brother and one sister. How many sisters do Tina\'s siblings have?'),
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));
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echo $answer->getSpeech()->asBinary();
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When handling `speech-to-speech`, the process still the same but requires a :class:`Symfony\\AI\\Platform\\Message\\Content\\Audio` as an input::
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Content\Audio;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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use Symfony\Component\HttpClient\HttpClient;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create('key', httpClient: HttpClient::create());
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$agent = new Agent($platform, 'gpt-4o', [
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new SpeechProcessor(ElevenLabsPlatformFactory::create(
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apiKey: 'key',
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httpClient: http_client(),
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), new SpeechConfiguration([
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'stt_model' => 'scribe_v1',
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]))
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]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser(Audio::fromFile(dirname(__DIR__, 2).'/fixtures/audio.mp3'))
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));
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echo $answer->getContent();
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A "STT / TTS sandwich" can be created using the :class:`Symfony\\AI\\Agent\\InputProcessor\\SpeechProcessor` as input and output processor::
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Content\Audio;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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use Symfony\Component\HttpClient\HttpClient;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create('key', httpClient: HttpClient::create());
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$speechProcessor = new SpeechProcessor(ElevenLabsPlatformFactory::create(
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apiKey: 'key',
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httpClient: http_client(),
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), new SpeechConfiguration([
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'tts_model' => 'eleven_multilingual_v2',
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'tts_options' => [
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'voice' => 'Dslrhjl3ZpzrctukrQSN', // Brad (https://elevenlabs.io/app/voice-library?voiceId=Dslrhjl3ZpzrctukrQSN)
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],
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'stt_model' => 'scribe_v1',
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]));
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$agent = new Agent($platform, 'gpt-4o', [$speechProcessor], [$speechProcessor]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser(Audio::fromFile(dirname(__DIR__, 2).'/fixtures/audio.mp3'))
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));
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echo $answer->getSpeech()->asBinary();
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.. note::
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Handling both `text-to-speech` and `speech-to-text` introduce latency as most of the process is synchronous.
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Code Examples
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~~~~~~~~~~~~~
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‎examples/speech/README.md‎

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# Speech Examples
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Speech is mainly used to transform text to audio and vice versa, it can also be used to create an audio to audio pipeline.
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To run the examples, you can use additional tools like (mpg123)[https://www.mpg123.de/]:
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```bash
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php speech/agent-eleven-labs-speech-tts.php | mpg123 -
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php speech/agent-eleven-labs-speech-sts.php | mpg123 -
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```

‎examples/speech/agent-eleven-labs-speech-sts.php‎

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<?php
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/*
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* This file is part of the Symfony package.
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*
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* (c) Fabien Potencier <fabien@symfony.com>
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*
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* For the full copyright and license information, please view the LICENSE
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* file that was distributed with this source code.
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*/
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Content\Audio;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create(env('OPENAI_API_KEY'), httpClient: http_client());
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$speechProcessor = new SpeechProcessor(ElevenLabsPlatformFactory::create(
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apiKey: env('ELEVEN_LABS_API_KEY'),
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httpClient: http_client(),
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), new SpeechConfiguration([
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'tts_model' => 'eleven_multilingual_v2',
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'tts_options' => [
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'voice' => 'Dslrhjl3ZpzrctukrQSN', // Brad (https://elevenlabs.io/app/voice-library?voiceId=Dslrhjl3ZpzrctukrQSN)
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],
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'stt_model' => 'scribe_v1',
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]));
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$agent = new Agent($platform, 'gpt-4o', [$speechProcessor], [$speechProcessor]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser(Audio::fromFile(dirname(__DIR__, 2).'/fixtures/audio.mp3'))
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));
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echo $answer->getSpeech()->asBinary();

‎examples/speech/agent-eleven-labs-speech-stt.php‎

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<?php
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/*
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* This file is part of the Symfony package.
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*
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* (c) Fabien Potencier <fabien@symfony.com>
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*
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* For the full copyright and license information, please view the LICENSE
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* file that was distributed with this source code.
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*/
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Content\Audio;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create(env('OPENAI_API_KEY'), httpClient: http_client());
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$agent = new Agent($platform, 'gpt-4o', [
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new SpeechProcessor(ElevenLabsPlatformFactory::create(
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apiKey: env('ELEVEN_LABS_API_KEY'),
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httpClient: http_client(),
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), new SpeechConfiguration([
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'stt_model' => 'scribe_v1',
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])),
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]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser(Audio::fromFile(dirname(__DIR__, 2).'/fixtures/audio.mp3'))
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));
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echo $answer->getContent();

‎examples/speech/agent-eleven-labs-speech-tts.php‎

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<?php
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/*
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* This file is part of the Symfony package.
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*
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* (c) Fabien Potencier <fabien@symfony.com>
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*
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* For the full copyright and license information, please view the LICENSE
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* file that was distributed with this source code.
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*/
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use Symfony\AI\Agent\Agent;
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use Symfony\AI\Agent\InputProcessor\SpeechProcessor;
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use Symfony\AI\Platform\Bridge\ElevenLabs\PlatformFactory as ElevenLabsPlatformFactory;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory as OpenAiPlatformFactory;
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use Symfony\AI\Platform\Message\Message;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Speech\SpeechConfiguration;
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require_once dirname(__DIR__).'/bootstrap.php';
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$platform = OpenAiPlatformFactory::create(env('OPENAI_API_KEY'), httpClient: http_client());
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$agent = new Agent($platform, 'gpt-4o', outputProcessors: [
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new SpeechProcessor(ElevenLabsPlatformFactory::create(
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env('ELEVEN_LABS_API_KEY'),
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httpClient: http_client()
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), new SpeechConfiguration([
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'tts_model' => 'eleven_multilingual_v2',
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'tts_options' => [
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'voice' => 'Dslrhjl3ZpzrctukrQSN', // Brad (https://elevenlabs.io/app/voice-library?voiceId=Dslrhjl3ZpzrctukrQSN)
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],
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])),
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]);
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$answer = $agent->call(new MessageBag(
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Message::ofUser('Tina has one brother and one sister. How many sisters do Tina\'s siblings have?'),
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));
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echo $answer->getSpeech()->asBinary();

‎src/agent/composer.json‎

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"phpunit/phpunit": "^11.5.53",
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"symfony/ai-store": "^0.5",
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"symfony/event-dispatcher": "^7.3|^8.0",
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"symfony/options-resolver": "^7.3|^8.0",
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"symfony/translation": "^7.3|^8.0",
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"symfony/translation-contracts": "^3.6"
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},

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