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Bandwidth + OpenAI Realtime SIP Integration - Python

Bandwidth OpenAI Realtime SIP Integration Guide

Table of Contents

Description

This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.

Pre-Requisites

In order to integrate with OpenAI Realtime SIP, you must have the following:

  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.

Environmental Variables

The sample app uses the below environmental variables.

OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000

Running the Application

This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.

To install the required packages and run the application, you can use either of the following methods:

# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py

Callback URLs

For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.

Below are the callback paths:

  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint

Ngrok

A simple way to set up a local callback URL for testing is to use the free tool ngrok.
After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)

ngrok http $LOCAL_PORT

You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
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Stars
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
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Stars
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0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
About
openai-realtime-sip-python
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Bandwidth + OpenAI Realtime SIP Integration - Python
Bandwidth OpenAI Realtime SIP Integration Guide
Table of Contents
Description
This is a sample application that demonstrates how to use the Bandwidth Voice with OpenAI's Realtime SIP Interface to create a real-time AI-powered voice assistant.
Pre-Requisites
In order to integrate with OpenAI Realtime SIP, you must have the following:
  • A Bandwidth Universal Platform account. If you don't have one, please reach out to your Account Manager or contact us to get started.
  • An OpenAI account. If you don't have one, you can sign up here.
Environmental Variables
The sample app uses the below environmental variables.
OPENAI_API_KEY # Your OpenAI API Key
REFER_TO # The phone number to refer calls to
LOG_LEVEL # The logging level you want. Default is 'info'. Other options are 'debug', 'warn', 'error'
LOCAL_PORT # The port you want the app to run on. Default is 3000
Running the Application
This application is built using Python 3.13. You can use pip to install the required packages, or Docker Compose to run the application.
To install the required packages and run the application, you can use either of the following methods:
# Using Docker Compose 
docker compose up --build
# Using Python
python -m venv .venv
source .venv/bin/activate
cd app
pip install -r requirements.txt
python main.py
Callback URLs
For a detailed introduction, check out our Bandwidth Product Specific Callbacks page.
Below are the callback paths:
  • /health - Health check endpoint
  • /webhooks/openai/realtime/call/inbound - Inbound call webhook endpoint
Ngrok
A simple way to set up a local callback URL for testing is to use the free tool ngrok.

After you have downloaded and installed ngrok run the following command to open a public tunnel to your port ($LOCAL_PORT)
ngrok http $LOCAL_PORT
You can view your public URL at http://127.0.0.1:4040 after ngrok is running. You can also view the status of the tunnel and requests/responses here.
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