{"id":156129,"date":"2025-03-25T17:32:59","date_gmt":"2025-03-25T17:32:59","guid":{"rendered":"https:\/\/som2nynetwork.com\/analytics\/how-to-build-multilingual-voice-agent-using-openai-agent-sdk\/"},"modified":"2025-03-25T17:32:59","modified_gmt":"2025-03-25T17:32:59","slug":"how-to-build-multilingual-voice-agent-using-openai-agent-sdk","status":"publish","type":"post","link":"https:\/\/som2nynetwork.com\/?p=156129","title":{"rendered":"How to Build Multilingual Voice Agent Using OpenAI Agent SDK?"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"article-start\">\n<p>OpenAI\u2019s Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. Whether you\u2019re building a language tutor, a virtual assistant, or a support bot, this new capability brings in a whole new level of interaction\u2014natural, dynamic, and human-like. Let\u2019s break it down and walk through what it is, how it works, and how you can build a Multilingual Voice Agent yourself.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-what-is-a-voice-agent\">What is a Voice Agent?<\/h2>\n<p>A Voice Agent is a system that listens to your voice, understands what you\u2019re saying, thinks about a response, and then replies out loud. The magic is powered by a combination of speech-to-text, language models, and text-to-speech technologies.<\/p>\n<p>The <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/03\/openai-agents-update\/\" target=\"_blank\" rel=\"noreferrer noopener\">OpenAI Agent SDK<\/a> makes this incredibly accessible through something called a VoicePipeline\u2014a structured 3-step process:<\/p>\n<ol class=\"wp-block-list\">\n<li><strong>Speech-to-text (STT)<\/strong>: Captures and converts your spoken words into text.<\/li>\n<li><strong>Agentic logic<\/strong>: This is your code (or your agent), which figures out the appropriate response.<\/li>\n<li><strong>Text-to-speech (TTS)<\/strong>: Converts the agent\u2019s text reply back into audio that is spoken aloud.<\/li>\n<\/ol>\n<h2 class=\"wp-block-heading\">Choosing the Right Architecture<\/h2>\n<p>Depending on your use case, you\u2019ll want to pick one of two core architectures supported by OpenAI:<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-1-speech-to-speech-multimodal-architecture\">1. Speech-to-Speech (Multimodal) Architecture<\/h3>\n<p>This is the real-time, all-audio approach using models like gpt-4o-realtime-preview. Instead of translating to text behind the scenes, the model processes and generates speech directly.<\/p>\n<h4 class=\"wp-block-heading\" id=\"h-why-use-this\">Why use this?<\/h4>\n<ul class=\"wp-block-list\">\n<li>Low-latency, real-time interaction<\/li>\n<li>Emotion and vocal tone understanding<\/li>\n<li>Smooth, natural conversational flow<\/li>\n<\/ul>\n<p>Perfect for:<\/p>\n<ul class=\"wp-block-list\">\n<li>Language Tutoring<\/li>\n<li>Live conversational agents<\/li>\n<li>Interactive storytelling or learning apps<\/li>\n<\/ul>\n<figure class=\"wp-block-table\">\n<table class=\"table table-bordered border-black table-striped\">\n<thead>\n<tr>\n<th>Strengths<\/th>\n<th>Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Low latency<\/td>\n<td>Interactive, unstructured dialogue<\/td>\n<\/tr>\n<tr>\n<td>Multimodal understanding (voice, tone, pauses)<\/td>\n<td>Real-time engagement<\/td>\n<\/tr>\n<tr>\n<td>Emotion-aware replies<\/td>\n<td>Customer support, virtual companions<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p>This approach makes conversations feel fluid and human but may need more attention in edge cases like logging or exact transcripts.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-2-chained-architecture\">2. Chained Architecture<\/h3>\n<p>The chained method is more traditional: Speech gets turned into text, the LLM processes that text, and then the reply is turned back into speech. The recommended models here are:<\/p>\n<ul class=\"wp-block-list\">\n<li>gpt-4o-transcribe (for STT)<\/li>\n<li>gpt-4o (for logic)<\/li>\n<li>gpt-4o-mini-tts (for TTS)<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\" id=\"h-why-use-this-0\">Why use this?<\/h4>\n<ul class=\"wp-block-list\">\n<li>Need transcripts for audit\/logging<\/li>\n<li>Have structured workflows like customer service or lead qualification<\/li>\n<li>Want predictable, controllable behaviour<\/li>\n<\/ul>\n<p><strong>Perfect for:<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li>Support bots<\/li>\n<li>Sales agents<\/li>\n<li>Task-specific assistants<\/li>\n<\/ul>\n<figure class=\"wp-block-table\">\n<table class=\"table table-bordered border-black table-striped\">\n<thead>\n<tr>\n<th>Strengths<\/th>\n<th>Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>High control &amp; transparency<\/td>\n<td>Structured workflows<\/td>\n<\/tr>\n<tr>\n<td>Reliable, text-based processing<\/td>\n<td>Apps needing transcripts<\/td>\n<\/tr>\n<tr>\n<td>Predictable outputs<\/td>\n<td>Customer-facing scripted flows<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p>This is easier to debug and a great starting point if you\u2019re new to voice agents.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-how-does-voice-agent-work\">How Does Voice Agent Work?<\/h2>\n<p>We set up a <a href=\"https:\/\/openai.github.io\/openai-agents-python\/voice\/pipeline\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">VoicePipeline<\/a> with a custom workflow. This workflow runs an Agent, but it can also trigger special responses if you say a secret word.<\/p>\n<p>Here\u2019s what happens when you speak:<\/p>\n<ol class=\"wp-block-list\">\n<li>Audio goes to the VoicePipeline as you talk.<\/li>\n<li>When you stop speaking, the pipeline kicks in.<\/li>\n<li>The pipeline then:\n<ul class=\"wp-block-list\">\n<li>Transcribes your speech to text.<\/li>\n<li>Sends the transcription to the workflow, which runs the Agent logic.<\/li>\n<li>Streams the Agent\u2019s reply to a text-to-speech (TTS) model.<\/li>\n<li>Plays the generated audio back to you.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>It\u2019s real-time, interactive, and smart enough to react differently if you slip in a hidden phrase.<\/p>\n<h2 class=\"wp-block-heading\">Configuring a Pipeline<\/h2>\n<p>When setting up a voice pipeline, there are a few key components you can customize:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Workflow<\/strong>: This is the logic that runs every time new audio is transcribed. It defines how the agent processes and responds.<\/li>\n<li><strong>STT and TTS Models<\/strong>: Choose which speech-to-text and text-to-speech models your pipeline will use.<\/li>\n<li><strong>Config Settings<\/strong>: This is where you fine-tune how your pipeline behaves:\n<ul class=\"wp-block-list\">\n<li><strong>Model Provider<\/strong>: A mapping system that links model names to actual model instances.<\/li>\n<li><strong>Tracing Options<\/strong>: Control whether tracing is enabled, whether to upload audio files, assign workflow names, trace IDs, and more.<\/li>\n<li><strong>Model-Specific Settings<\/strong>: Customize prompts, language preferences, and supported data types for both TTS and STT models.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Running a Voice Pipeline<\/h2>\n<p>To kick off a voice pipeline, you\u2019ll use the <code>run()<\/code> method. It accepts audio input in one of two forms, depending on how you\u2019re handling speech:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>AudioInput<\/strong> is ideal when you already have a full audio clip or transcript. It\u2019s perfect for cases where you know when the speaker is done, like with pre-recorded audio or push-to-talk setups. No need for live activity detection here.<\/li>\n<li><strong>StreamedAudioInput<\/strong> is designed for real-time, dynamic input. You feed in audio chunks as they\u2019re captured, and the voice pipeline automatically figures out when to trigger the agent logic using something called activity detection. This is super handy when you\u2019re dealing with open mics or hands-free interaction where it\u2019s not obvious when the speaker finishes.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Understanding the Results<\/h2>\n<p>Once your pipeline is running, it returns a StreamedAudioResult, which lets you stream events in real time as the interaction unfolds. These events come in a few flavors:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>VoiceStreamEventAudio<\/strong> \u2013 Contains chunks of audio output (i.e., what the agent is saying).<\/li>\n<li><strong>VoiceStreamEventLifecycle<\/strong> \u2013 Marks important lifecycle events, like the start or end of a conversation turn.<\/li>\n<li><strong>VoiceStreamEventError<\/strong> \u2013 Signals that something went wrong.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" id=\"h-hands-on-voice-agent-using-openai-agent-sdk\">Hands-on Voice Agent Using OpenAI Agent SDK<\/h2>\n<p>Here\u2019s a cleaner, well-structured version of your guide for setting up a Hands-on Voice Agent using OpenAI Agent SDK, with detailed steps, grouping, and clarity improvements. It\u2019s all still casual and practical, but more readable and actionable:<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-1-set-up-your-project-directory\">1. Set Up Your Project Directory<\/h3>\n<pre class=\"wp-block-code\"><code>mkdir my_project\ncd my_project\n<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-2-create-amp-activate-a-virtual-environment\">2. Create &amp; Activate a Virtual Environment<\/h3>\n<p>Create the environment:<\/p>\n<pre class=\"wp-block-code\"><code>python -m venv .venv<\/code><\/pre>\n<p>Activate it:<\/p>\n<pre class=\"wp-block-code\"><code>source .venv\/bin\/activate<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-3-install-openai-agent-sdk\">3. Install OpenAI Agent SDK<\/h3>\n<pre class=\"wp-block-code\"><code>pip install openai-agent<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-4-set-an-openai-api-key\">4. Set an OpenAI API key<\/h3>\n<pre class=\"wp-block-code\"><code>export OPENAI_API_KEY=sk-...<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-5-clone-the-example-repository\">5. Clone the Example Repository<\/h3>\n<pre class=\"wp-block-code\"><code>git clone https:\/\/github.com\/openai\/openai-agents-python.git<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-6-modify-the-example-code-for-hindi-agent-amp-audio-saving\"> 6. Modify the Example Code for Hindi Agent &amp; Audio Saving<\/h3>\n<p>Navigate to the example file:<\/p>\n<pre class=\"wp-block-code\"><code>cd openai-agents-python\/examples\/voice\/static<\/code><\/pre>\n<p>Now, edit main.py:<\/p>\n<p>You\u2019ll do two key things:<\/p>\n<ol class=\"wp-block-list\">\n<li><strong>Add a Hindi agent<\/strong><\/li>\n<li><strong>Enable audio saving after playback<\/strong><\/li>\n<\/ol>\n<p>Replace the entire content in <code>main.py<\/code>. This is the final code here:<\/p>\n<pre class=\"wp-block-code\"><code>import asyncio\nimport random\n\nfrom agents import Agent, function_tool\nfrom agents.extensions.handoff_prompt import prompt_with_handoff_instructions\nfrom agents.voice import (\n    AudioInput,\n    SingleAgentVoiceWorkflow,\n    SingleAgentWorkflowCallbacks,\n    VoicePipeline,\n)\n\nfrom .util import AudioPlayer, record_audio\n\n@function_tool\ndef get_weather(city: str) -&gt; str:\n    print(f\"[debug] get_weather called with city: {city}\")\n    choices = [\"sunny\", \"cloudy\", \"rainy\", \"snowy\"]\n    return f\"The weather in {city} is {random.choice(choices)}.\"\n\nspanish_agent = Agent(\n    name=\"Spanish\",\n    handoff_description=\"A spanish speaking agent.\",\n    instructions=prompt_with_handoff_instructions(\n        \"You're speaking to a human, so be polite and concise. Speak in Spanish.\",\n    ),\n    model=\"gpt-4o-mini\",\n)\n\nhindi_agent = Agent(\n    name=\"Hindi\",\n    handoff_description=\"A hindi speaking agent.\",\n    instructions=prompt_with_handoff_instructions(\n        \"You're speaking to a human, so be polite and concise. Speak in Hindi.\",\n    ),\n    model=\"gpt-4o-mini\",\n)\n\nagent = Agent(\n    name=\"Assistant\",\n    instructions=prompt_with_handoff_instructions(\n        \"You're speaking to a human, so be polite and concise. If the user speaks in Spanish, handoff to the spanish agent. If the user speaks in Hindi, handoff to the hindi agent.\",\n    ),\n    model=\"gpt-4o-mini\",\n    handoffs=[spanish_agent, hindi_agent],\n    tools=[get_weather],\n)\n\nclass WorkflowCallbacks(SingleAgentWorkflowCallbacks):\n    def on_run(self, workflow: SingleAgentVoiceWorkflow, transcription: str) -&gt; None:\n        print(f\"[debug] on_run called with transcription: {transcription}\")\n\nasync def main():\n    pipeline = VoicePipeline(\n        workflow=SingleAgentVoiceWorkflow(agent, callbacks=WorkflowCallbacks())\n    )\n\n    audio_input = AudioInput(buffer=record_audio())\n\n    result = await pipeline.run(audio_input)\n\n    # Create a list to store all audio chunks\n    all_audio_chunks = []\n\n    with AudioPlayer() as player:\n        async for event in result.stream():\n            if event.type == \"voice_stream_event_audio\":\n                audio_data = event.data\n                player.add_audio(audio_data)\n                all_audio_chunks.append(audio_data)\n                print(\"Received audio\")\n            elif event.type == \"voice_stream_event_lifecycle\":\n                print(f\"Received lifecycle event: {event.event}\")\n    \n    # Save the combined audio to a file\n    if all_audio_chunks:\n        import wave\n        import os\n        import time\n\n        os.makedirs(\"output\", exist_ok=True)\n        filename = f\"output\/response_{int(time.time())}.wav\"\n\n        with wave.open(filename, \"wb\") as wf:\n            wf.setnchannels(1)\n            wf.setsampwidth(2)\n            wf.setframerate(16000)\n            wf.writeframes(b''.join(all_audio_chunks))\n\n        print(f\"Audio saved to {filename}\")\n\nif __name__ == \"__main__\":\n    asyncio.run(main())\n<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-6-run-the-voice-agent\">6. Run the Voice Agent<\/h3>\n<p>Make sure you\u2019re in the correct directory:<\/p>\n<pre class=\"wp-block-code\"><code>cd openai-agents-python<\/code><\/pre>\n<p>Then, launch it:<\/p>\n<pre class=\"wp-block-code\"><code>python -m examples.voice.static.main<\/code><\/pre>\n<p>I asked the agent two things, one in English and one in Hindi:<\/p>\n<ol class=\"wp-block-list\">\n<li>Voice Prompt: Hey, voice agent, what is a large language model?<\/li>\n<li>Voice Prompt: \u201c\u092e\u0941\u091d\u0947 \u0926\u093f\u0932\u094d\u0932\u0940 \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u092c\u0924\u093e\u0913<\/li>\n<\/ol>\n<p>Here\u2019s the terminal:<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1848\" height=\"954\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1.webp\" alt=\"\" class=\"wp-image-228147\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1.webp 1848w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1-300x155.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1-768x396.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1-1536x793.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/image-63-1-1-150x77.webp 150w\" sizes=\"auto, (max-width: 1848px) 100vw, 1848px\"\/><\/figure>\n<h4 class=\"wp-block-heading\" id=\"h-output\">Output<\/h4>\n<p>English Response:<\/p>\n<figure class=\"wp-block-audio\"><audio controls=\"\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/English-version.mp3\"\/><\/figure>\n<p>Hindi Response:<\/p>\n<figure class=\"wp-block-audio\"><audio controls=\"\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/03\/Hindi-version.mp3\"\/><\/figure>\n<h2 class=\"wp-block-heading\" id=\"h-additional-resources\">Additional Resources<\/h2>\n<p>Want to dig deeper? Check these out:<\/p>\n<p>Also read: <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/03\/openai-audio-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">OpenAI\u2019s Audio Models: How to Access, Features, Applications, and More<\/a><\/p>\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Conclusion<\/h2>\n<p>Building a voice agent with the OpenAI Agent SDK is way more accessible now\u2014you don\u2019t need to stitch together a ton of tools anymore. Just pick the right architecture, set up your VoicePipeline, and let the SDK do the heavy lifting.<\/p>\n<p>If you\u2019re going for high-quality conversational flow, go multimodal. If you want structure and control, go chained. Either way, this tech is powerful, and it\u2019s only going to get better. If you are creating one, let me know in the comment section below.<\/p>\n<div class=\"border-top py-3 author-info my-4\">\n<div class=\"author-card d-flex align-items-center\">\n<div class=\"flex-shrink-0 overflow-hidden\">\n                                    <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/author\/pankaj9786\/\" class=\"text-decoration-none active-avatar\"><br \/>\n                                                                       <img decoding=\"async\" src=\"https:\/\/av-eks-lekhak.s3.amazonaws.com\/media\/lekhak-profile-images\/converted_image_Lb7Lh0T.webp\" width=\"48\" height=\"48\" alt=\"Pankaj Singh\" loading=\"lazy\" class=\"rounded-circle\"\/><\/p>\n<p>                                <\/a>\n                                <\/div>\n<\/p><\/div>\n<p>                Hi, I am Pankaj Singh Negi &#8211; Senior Content Editor | Passionate about storytelling and crafting compelling narratives that transform ideas into impactful content. I love reading about technology revolutionizing our lifestyle.                 <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><h4 class=\"fs-24 text-dark\">Login to continue reading and enjoy expert-curated content.<\/h4>\n<p>                        <button class=\"btn btn-primary mx-auto d-table\" data-bs-toggle=\"modal\" data-bs-target=\"#loginModal\" id=\"readMoreBtn\">Keep Reading for Free<\/button>\n                    <\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>OpenAI\u2019s Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. Whether you\u2019re building a language tutor, a virtual assistant, or a support bot, this new capability brings in a whole new level of interaction\u2014natural, dynamic, and human-like. Let\u2019s break it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":156130,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[3038,5293,41503,11438,56228,5002],"dealstore":[],"offerexpiration":[],"class_list":["post-156129","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-agent","tag-build","tag-multilingual","tag-openai","tag-sdk","tag-voice"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Build Multilingual Voice Agent Using OpenAI Agent SDK? - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/som2nynetwork.com\/?p=156129\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Build Multilingual Voice Agent Using OpenAI Agent SDK? - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"OpenAI\u2019s Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. 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