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background-color: #1A1A1F !important; } button[role="tab"][data-state="active"]:after { background: linear-gradient(90deg, #201CFF -91.5%, #13EF95 80.05%) !important; height: 2px !important; position: absolute !important; content: "" !important; right: 0 !important; left: 0 !important; bottom: 0 !important; } button[role="tab"] { box-shadow: none !important; position: relative !important; } button[role="tab"]:hover span { background-color: #1A1A1F !important; } div[class*="callout"] { border-left-width: 2px !important; border-color: var(--tw-ring-color) !important; } .fern-search-bar, .callout-outlined, .fern-card .fern-button { border-radius: 8px !important; } .bg-tag-default-soft { background-color: #28282B !important; } .code-block-root span[style*="color: rgb(194, 195, 197);"] { --shiki-dark: #949498 !important; } .callout-outlined { background-color: #1D2A34 !important; --tw-ring-color: #149AFB !important; } .callout-outlined-warning { background-color: #342D1E !important; 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span[data-badge-type="http-method"], span[data-badge-type="status-code"] { border-radius: 50px !important; } .dg-badge { margin-right: 6px !important; color: #bbbbbf !important; padding: 1px 1px !important; text-decoration: none !important; border-radius: 4px !important; background-origin: border-box !important; background-image: linear-gradient(90deg, #201cff -91.5%, #13ef95 80.05%); display: flex; align-items: center; justify-content: center; width: fit-content; height: fit-content; } .dg-badge span { background-color: #1A1A1F !important; padding: 4px 12px !important; border-radius: 4px !important; display: flex; align-items: center; justify-content: center; } .dg-badge .fa-icon { background: linear-gradient(90deg, #201cff -91.5%, #13ef95 80.05%); margin-right: 4px !important; } .fern-card { background-color: #0B0B0C !important; border-radius: 8px !important; } ol li { margin-top: 2rem !important; } .small .fern-card { padding-bottom: 1rem !important; padding-top: 1rem !important; } .small .fern-card .items-start { align-items: center !important; } .small .fern-card .text-base { color: #BBBBBF !important; font-weight: 600 !important; } .fern-card h3 { margin-top: 0px !important; } .fern-sidebar-tabs { padding-left: 10px !important; } .fern-sidebar-heading { padding-left: 28px !important; } .api-playground-call { width: fit-content !important; height: fit-content !important; display: flex !important; align-items: center !important; justify-content: center !important; padding: 1px !important; border-radius: 4px !important; background-image: linear-gradient(82.38deg, #ff2eea -99.24%, #4b3cff 99.26%) !important; width: 100% !important; margin-top: 1rem !important; } .api-playground-call span:first-child { display: flex !important; align-items: center !important; gap: 12px !important; background-color: #1A1A1F !important; padding: 4px !important; border-radius: 4px !important; width: 100% !important; flex-direction: row !important; } .api-playground-call p { margin: 0 !important; display: flex !important; align-items: center !important; white-space: nowrap !important; } .api-playground-call p div:first-child { display: inline-flex !important; align-items: center !important; } .api-playground-call img { width: 2.5rem !important; height: 2.5rem !important; display: inline-block !important; margin-top: 4px !important; margin-bottom: 4px !important; transform: scaleX(-1) !important; } .invert-white { filter: invert(1) !important; } .fa-icon, .card-icon { width: 2rem !important; height: 2rem !important; } .dg-badge .fa-icon { width: 1rem !important; height: 1rem !important; } .fern-header, .fern-header-tabs { border-bottom-width: 0px !important; } .fern-header-tabs-list-item span { font-family: 'Roobert' !important; } .fern-header-tabs-list, .fern-header-tabs-list-item { height: 100% !important; } .fern-sidebar-link-indent { margin-left: 20px !important; } .fern-sidebar-link-container[data-state=inactive] .fern-sidebar-link:hover { color: #FBFBFF !important; } .t-muted:is(.dark *) { color: #949498 !important; } .dark\:prose-invert:is(.dark *) { --tw-prose-headings: #FBFBFF !important; color: #E1E1E5 !important; } .fern-page-heading * { color: #FBFBFF !important; } .badge a { text-decoration: none !important; color: unset !important; } .badge svg { display: none !important; } .dep { background: #bbbbbf !important; } .dep .fa-icon { background: #bbbbbf !important; } .dep span { text-decoration: line-through !important; } .pink { background-image: linear-gradient(85deg, #ee028b 5.66%, #ae29ff 99.14%) !important; } .pink .fa-icon { background: linear-gradient(85deg, #ee028b 5.66%, #ae29ff 99.14%) !important; } #fern-header { padding-top: 3rem !important; } .fern-sidebar-container { position: sticky !important; top: 0 !important; margin-top: 10rem !important; overflow-y: auto !important; z-index: 20 !important; height: 100vh !important; } .fern-main { margin-top: calc(var(--header-offset, 0) + 3rem) !important; } 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0;--tw-border-spacing-y: 0;--tw-translate-x: 0;--tw-translate-y: 0;--tw-rotate: 0;--tw-skew-x: 0;--tw-skew-y: 0;--tw-scale-x: 1;--tw-scale-y: 1;--tw-pan-x: ;--tw-pan-y: ;--tw-pinch-zoom: ;--tw-scroll-snap-strictness: proximity;--tw-gradient-from-position: ;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width: 0px;--tw-ring-offset-color: #fff;--tw-ring-color: rgb(59 130 246 / .5);--tw-ring-offset-shadow: 0 0 #0000;--tw-ring-shadow: 0 0 #0000;--tw-shadow: 0 0 #0000;--tw-shadow-colored: 0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: 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;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: }.tw-absolute{position:absolute}.tw-relative{position:relative}.tw-inset-x-0{left:0;right:0}.tw-top-0{top:0}.tw-z-30{z-index:30}.tw-mx-auto{margin-left:auto;margin-right:auto}.tw-flex{display:flex}.tw-w-full{width:100%}.tw-max-w-\[var$--spacing-page-width$\]{max-width:var(--spacing-page-width)}.tw-items-center{align-items:center}.tw-justify-end{justify-content:flex-end}.tw-gap-2{gap:.5rem}.tw-gap-3{gap:.75rem}.tw-rounded-md{border-radius:.375rem}.tw-bg-\[\#232329\]{--tw-bg-opacity: 1;background-color:rgb(35 35 41 / var(--tw-bg-opacity))}.tw-px-3{padding-left:.75rem;padding-right:.75rem}.tw-px-4{padding-left:1rem;padding-right:1rem}.tw-py-2{padding-top:.5rem;padding-bottom:.5rem}.tw-text-\[\#BBBBBF\]{--tw-text-opacity: 1;color:rgb(187 187 191 / var(--tw-text-opacity))}.tw-backdrop-blur-2xl{--tw-backdrop-blur: blur(40px);-webkit-backdrop-filter:var(--tw-backdrop-blur) var(--tw-backdrop-brightness) 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style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Home</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/voice-agent"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Voice Agent</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/pre-recorded-audio"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Speech to Text</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/tts-rest"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Text to Speech</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/audio-intelligence"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Intelligence</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/reference/deepgram-api-overview"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">API Ref</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="active" href="/docs/make-your-first-api-request"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Guides</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/deepgram-sdks"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">SDKs</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/self-hosted-introduction"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Self-Hosted Deployments</span></div></a></li><li><a class="min-h-[32px] lg:min-h-[36px] group/tab-button hover:t-accent flex min-w-0 flex-1 select-none items-center justify-start rounded-lg py-2 text-base group-hover/tab-button:transition lg:px-3 lg:text-sm data-[state=inactive]:t-muted data-[state=active]:t-accent" data-state="inactive" href="/docs/security-policy"><div class="flex min-w-0 items-center justify-start space-x-4"><div class="min-w-fit"><div class="bg-card-surface ring-border-default group-hover/tab-button:bg-tag-primary group-hover/tab-button:ring-accent/70 group-data-[state=active]/tab-button:bg-accent group-hover/tab-button:group-data-[state=active]/tab-button:bg-accent flex size-6 items-center justify-center rounded-md shadow-sm ring-1 group-data-[state=active]/tab-button:ring-0"><span class="bg-faded group-hover/tab-button:bg-accent group-data-[state=active]/tab-button:bg-background group-hover/tab-button:group-data-[state=active]/tab-button:bg-background size-4 fa-icon" style="mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");mask-repeat:no-repeat;mask-position:center center;-webkit-mask-image:url("https://icons.ferndocs.com/solid/book-open.svg");-webkit-mask-repeat:no-repeat;-webkit-mask-position:center center"></span></div></div><span class="truncate font-medium group-data-[state=active]/tab-button:font-semibold">Security</span></div></a></li></ul><ul class="fern-sidebar-group"><li class="mt-6"><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">Fundamentals</span></div><ul class="fern-sidebar-group"><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/make-your-first-api-request"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Make Your First API Request</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/authenticating"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Authenticating</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/model-metadata"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Model Metadata</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/managing-projects"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Managing Projects</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/using-multiple-projects"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Using Multiple Projects</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/working-with-roles"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Working With Roles & API Scopes</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/supported-audio-formats"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Supported Audio Formats</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/deployment-options"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Deployment Options</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/create-additional-api-keys"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Creating API Keys</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/using-the-sec-websocket-protocol"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Using the Sec-WebSocket-Protocol</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/using-logs-usage"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Logs & Usage Data</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/the-deepgram-model-improvement-partnership-program"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Model Improvement Partnership Program</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/working-with-concurrency-rate-limits"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Working With Concurrency Rate Limits</span></span></a></div></li></ul></li><li class="mt-6"><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">Use Case Examples</span></div><ul class="fern-sidebar-group"><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/build-voice-agent-with-twilio-deepgram-openai"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Build a Voice Agent with Twilio & OpenAI & Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/calculate-talk-time-analytics"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Calculate Talk Time Analytics</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/transcribe-meetings-in-realtime"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Transcribe Meetings in Realtime</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/transcribe-recorded-calls-with-twilio"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Transcribe Recorded Calls With Twilio</span></span></a></div></li></ul></li><li class="mt-6"><div class="fern-sidebar-heading"><span class="fern-sidebar-heading-content">Integrations</span></div><ul class="fern-sidebar-group"><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/deepgram-with-amazon-connect"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Amazon Connect and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/using-aws-s3-presigned-urls-with-the-deepgram-api"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">AWS S3 Presigned URLs and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/genesys-with-deepgram"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Genesys and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="active"><a class="fern-sidebar-link" href="/docs/use-deepgram-with-dialogflow-cx"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Google Dialogflow CX and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/makecom-deepgram-integration"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Make.com and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/on-premise-twilio-integration"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Twilio and Deepgram STT</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/twilio-and-deepgram-tts"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Twilio and Deepgram TTS</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/twilio-and-deepgram-voice-agent"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Twilio and Deepgram Voice Agent</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/zapier-integration"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Zapier and Deepgram</span></span></a></div></li><li><div class="fern-sidebar-link-container" data-state="inactive"><a class="fern-sidebar-link" href="/docs/integrate-deepgram-with-zoom"><span class="fern-sidebar-link-content"><span class="fern-sidebar-link-text">Zoom and Deepgram</span></span></a></div></li></ul></li></ul></div></div></div></nav><div class="fern-main"><main class="fern-guide-layout"><aside class="fern-layout-toc"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport px-4 pb-12 pt-8 lg:pr-8" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden"><div style="min-width:100%;display:table"><div class="text-grayscale-a11 m-0 mb-3 text-sm font-medium">On this page</div><ul class="toc-root not-prose" style="--height:0px;--top:0px"><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#before-you-begin">Before you Begin</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#create-a-dialogflow-cx-agent">Create a Dialogflow CX Agent</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#try-out-the-demo">Try Out the Demo</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#high-level-architecture">High-Level Architecture</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#deeper-look">Deeper Look</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#options-for-customizing-utterance-segmentation">Options for Customizing Utterance Segmentation</a></li><li class="mb-2 last:mb-0" data-depth="1"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:12px" href="/docs/use-deepgram-with-dialogflow-cx#update-dialogflow-with-resumed-utterances">Update Dialogflow with Resumed Utterances</a></li><li class="mb-2 last:mb-0" data-depth="1"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:12px" href="/docs/use-deepgram-with-dialogflow-cx#dont-segment-on-endpoints">Don't Segment on Endpoints</a></li><li class="mb-2 last:mb-0" data-depth="1"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:12px" href="/docs/use-deepgram-with-dialogflow-cx#replace-word-timing-logic-with-utterance_end_ms">Replace Word Timing Logic with utterance_end_ms</a></li><li class="mb-2 last:mb-0" data-depth="0"><a class="block hyphens-auto break-words text-sm transition-colors hover:transition-none text-grayscale-a11 hover:text-grayscale-a12" style="padding-left:0px" href="/docs/use-deepgram-with-dialogflow-cx#audiocodes-as-an-alternative">AudioCodes as an Alternative</a></li></ul></div></div></div></aside><article class="fern-layout-content max-w-content-width"><header class="mb-8"><div class="space-y-1"><div><span class="fern-breadcrumb"><a class="fern-breadcrumb-item" href="/docs/deepgram-with-amazon-connect">Integrations</a></span></div><h1 class="fern-page-heading"><p>Google Dialogflow CX and Deepgram</p></h1></div><div class="prose-p:t-muted mt-2 leading-7"><p>Dialogflow CX is a framework for building virtual agents. Learn how to incorporate Deepgram’s transcription and text-to-speech for improved accuracy.</p></div></header><div class="prose dark:prose-invert prose-h1:mt-[1.5em] first:prose-h1:mt-0 max-w-full break-words"><p>In this guide, we’ll explain how to talk to a Dialogflow CX agent using Deepgram for transcription and text-to-speech. We’ll do this by walking through Deepgram’s <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://github.com/deepgram/dialogflow-example">Dialogflow Example<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a> repo on GitHub.</p> <h2 id="before-you-begin" data-state="closed">Before you Begin</h2> <div class="mb-6 mt-4 rounded-lg p-4 first:mt-0 callout-outlined"><div class="flex items-start space-x-3"><div class="mt-0.5 w-4"><svg width="1.5em" height="1.5em" stroke-width="1.5" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="text-intent-default size-icon-md"><path d="M12 11.5V16.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M12 7.51L12.01 7.49889" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M12 22C17.5228 22 22 17.5228 22 12C22 6.47715 17.5228 2 12 2C6.47715 2 2 6.47715 2 12C2 17.5228 6.47715 22 12 22Z" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path></svg></div><div class="prose prose-sm dark:prose-invert -my-4 flex-1 overflow-x-auto before:mb-4 before:block after:mt-4 after:block"><div class="text-intent-default"><h5 class="leading-snug"></h5><p>Before you can use Deepgram, you’ll need to <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://console.deepgram.com/signup?jump=keys">create a Deepgram account<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>. Signup is free and includes <strong class="font-semibold">$200</strong> in free credit and access to all of Deepgram’s features!</p></div></div></div></div> <div class="mb-6 mt-4 rounded-lg p-4 first:mt-0 callout-outlined"><div class="flex items-start space-x-3"><div class="mt-0.5 w-4"><svg width="1.5em" height="1.5em" stroke-width="1.5" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="text-intent-default size-icon-md"><path d="M12 11.5V16.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M12 7.51L12.01 7.49889" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M12 22C17.5228 22 22 17.5228 22 12C22 6.47715 17.5228 2 12 2C6.47715 2 2 6.47715 2 12C2 17.5228 6.47715 22 12 22Z" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path></svg></div><div class="prose prose-sm dark:prose-invert -my-4 flex-1 overflow-x-auto before:mb-4 before:block after:mt-4 after:block"><div class="text-intent-default"><h5 class="leading-snug"></h5><p>Before you start, you’ll need to follow the steps in the <a class="fern-mdx-link" href="/docs/make-your-first-api-request">Make Your First API Request</a> guide to obtain a Deepgram API key, and configure your environment if you are choosing to use a Deepgram SDK.</p></div></div></div></div> <h2 id="create-a-dialogflow-cx-agent" data-state="closed">Create a Dialogflow CX Agent</h2> <p>You’ll also need a Dialogflow agent to talk to. If you don’t already have one, the easiest approach is to create a <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://cloud.google.com/dialogflow/cx/docs/concept/agents-prebuilt">prebuilt agent<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>.</p> <h2 id="try-out-the-demo" data-state="closed">Try Out the Demo</h2> <p>Clone the <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://github.com/deepgram/dialogflow-example">Dialogflow Example<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a> repo and follow the instructions in <code>README.md</code>. You’ll need to provide your Deepgram API key and your Dialogflow agent information. The <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://github.com/deepgram/dialogflow-example#demo">video<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a> in the README shows how the demo should work.</p> <h1 id="high-level-architecture" data-state="closed">High-Level Architecture</h1> <p>Dialogflow agents can accept user input in the form of audio or text. If you send audio to an agent, Google will transcribe it with their own speech-to-text engine. In order to use Deepgram’s transcription, we need to transcribe the audio outside of Dialogflow and send the resulting text to our agent. If we also want to use Deepgram’s text-to-speech for the bot’s voice, we must configure Dialogflow to return agent responses as text. This diagram depicts the full process:</p> <p><span aria-owns="rmiz-modal-" data-rmiz=""><span data-rmiz-content="not-found" style="visibility:visible"><img alt="" loading="lazy" width="976" height="409" decoding="async" data-nimg="1" style="color:transparent;aspect-ratio:2.3863080684596576" srcSet="https://app.ferndocs.com/_next/image?url=https%3A%2F%2Ffiles.buildwithfern.com%2Fhttps%3A%2F%2Fdeepgram.docs.buildwithfern.com%2F2025-02-21T18%3A42%3A13.663Z%2Fimages%2Fc213cc7-dialogflow-architecture-tts.png&w=1080&q=75&dpl=dpl_4QpQ8NTiUGorrHCFa7JoGjuJyFCt 1x, https://app.ferndocs.com/_next/image?url=https%3A%2F%2Ffiles.buildwithfern.com%2Fhttps%3A%2F%2Fdeepgram.docs.buildwithfern.com%2F2025-02-21T18%3A42%3A13.663Z%2Fimages%2Fc213cc7-dialogflow-architecture-tts.png&w=2048&q=75&dpl=dpl_4QpQ8NTiUGorrHCFa7JoGjuJyFCt 2x" src="https://files.buildwithfern.com/https://deepgram.docs.buildwithfern.com/2025-02-21T18:42:13.663Z/images/c213cc7-dialogflow-architecture-tts.png"/></span></span></p> <ol class="mb-3 list-outside list-decimal space-y-2"> <li class="">The user speaks into their microphone.</li> <li class="">The integration continuously streams the user’s speech to Deepgram.</li> <li class="">Deepgram streams back transcripts.</li> <li class="">The integration analyzes the transcripts to determine when the user has completed a thought (<a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://deepgram.com/learn/building-a-conversational-ai-flow-with-deepgram">“utterance segmentation”<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>). When it finds a complete utterance, it sends it to the Dialogflow agent as text.</li> <li class="">The agent replies with its response, also in the form of text.</li> <li class="">The agent’s response is sent to Deepgram’s text-to-speech engine.</li> <li class="">Deepgram returns the response as audio.</li> <li class="">The audio is played to the user.</li> <li class="">The process repeats until the conversation is finished.</li> </ol> <h1 id="deeper-look" data-state="closed">Deeper Look</h1> <p>At any given time, <code>server.js</code> is in one of two states. In the <strong class="font-semibold">awaiting utterance</strong> state, it is collecting transcripts from Deepgram and looking for an indication that the user has finished their thought. In the <strong class="font-semibold">awaiting bot reply</strong> state, it is discarding transcripts because we’ve already sent the utterance to Dialogflow and it is now the bot’s turn to speak.</p> <p>This is the code that runs when <code>server.js</code> receives a transcription result from Deepgram (note the two states):</p> <div class="bg-card after:ring-card-border relative mb-6 mt-4 flex w-full min-w-0 max-w-full flex-col rounded-lg shadow-sm after:pointer-events-none after:absolute after:inset-0 after:rounded-[inherit] after:ring-1 after:ring-inset after:content-[''] first:mt-0"><div class="bg-tag-default-soft rounded-t-[inherit]"><div class="shadow-border-default mx-px flex min-h-10 items-center justify-between shadow-[inset_0_-1px_0_0]"><div class="flex min-h-10 overflow-x-auto"><div class="flex items-center px-3 py-1.5"><span class="t-muted rounded text-sm font-semibold">JavaScript</span></div></div><button tabindex="0" data-state="closed" aria-disabled="false" class="fern-copy-button group ml-2 mr-1 fern-button minimal normal rounded square"><span class="fern-button-content"><svg width="1.5em" height="1.5em" stroke-width="1.5" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor"><path d="M19.4 20H9.6C9.26863 20 9 19.7314 9 19.4V9.6C9 9.26863 9.26863 9 9.6 9H19.4C19.7314 9 20 9.26863 20 9.6V19.4C20 19.7314 19.7314 20 19.4 20Z" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M15 9V4.6C15 4.26863 14.7314 4 14.4 4H4.6C4.26863 4 4 4.26863 4 4.6V14.4C4 14.7314 4.26863 15 4.6 15H9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path></svg></span></button></div></div><pre class="code-block-root not-prose rounded-b-[inherit]" tabindex="0"><div dir="ltr" class="fern-scroll-area" style="position:relative;--radix-scroll-area-corner-width:0px;--radix-scroll-area-corner-height:0px"><style>[data-radix-scroll-area-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-scroll-area-viewport]::-webkit-scrollbar{display:none}</style><div data-radix-scroll-area-viewport="" class="fern-scroll-area-viewport" data-scrollbars="both" style="overflow-x:hidden;overflow-y:hidden;max-height:479px"><div style="min-width:100%;display:table"><code class="code-block text-sm"><div class="code-block-inner"><table class="code-block-line-group"><colgroup><col class="w-fit"/><col/></colgroup><tbody><tr class="code-block-line"><td class="code-block-line-gutter"><span>1</span></td><td class="code-block-line-content"><span class="line">function handleDgResults(start, duration, isFinal, speechFinal, transcript, words) {</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>2</span></td><td class="code-block-line-content"><span class="line"> switch (voicebotState) {</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>3</span></td><td class="code-block-line-content"><span class="line"> case STATES.AwaitingUtterance:</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>4</span></td><td class="code-block-line-content"><span class="line"> // Update `finalizedTranscript` and `unfinalizedTranscript` in light of the new result</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>5</span></td><td class="code-block-line-content"><span class="line"> updateTranscriptState(transcript, isFinal);</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>6</span></td><td class="code-block-line-content"><span class="line"></span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>7</span></td><td class="code-block-line-content"><span class="line"> // Update `latestTimeSeen` and `latestFinalizedWordEnd` in light of the new result</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>8</span></td><td class="code-block-line-content"><span class="line"> updateSilenceDetectionState(start, duration, words, isFinal);</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>9</span></td><td class="code-block-line-content"><span class="line"></span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>10</span></td><td class="code-block-line-content"><span class="line"> if (finalizedTranscript === "") {</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>11</span></td><td class="code-block-line-content"><span class="line"> return;</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>12</span></td><td class="code-block-line-content"><span class="line"> }</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>13</span></td><td class="code-block-line-content"><span class="line"></span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>14</span></td><td class="code-block-line-content"><span class="line"> let silenceDetected = </span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>15</span></td><td class="code-block-line-content"><span class="line"> unfinalizedTranscript === "" && latestTimeSeen - latestFinalizedWordEnd > 1.25;</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>16</span></td><td class="code-block-line-content"><span class="line"></span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>17</span></td><td class="code-block-line-content"><span class="line"> if (silenceDetected || speechFinal) {</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>18</span></td><td class="code-block-line-content"><span class="line"> changeVoicebotState(STATES.AwaitingBotReply);</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>19</span></td><td class="code-block-line-content"><span class="line"> </span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>20</span></td><td class="code-block-line-content"><span class="line"> // Send the completed utterance to Dialogflow</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>21</span></td><td class="code-block-line-content"><span class="line"> sendUtteranceDownstream(finalizedTranscript); </span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>22</span></td><td class="code-block-line-content"><span class="line"> }</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>23</span></td><td class="code-block-line-content"><span class="line"></span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>24</span></td><td class="code-block-line-content"><span class="line"> break;</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>25</span></td><td class="code-block-line-content"><span class="line"> case STATES.AwaitingBotReply:</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>26</span></td><td class="code-block-line-content"><span class="line"> // Discard the transcript; do nothing</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>27</span></td><td class="code-block-line-content"><span class="line"> break;</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>28</span></td><td class="code-block-line-content"><span class="line"> }</span></td></tr><tr class="code-block-line"><td class="code-block-line-gutter"><span>29</span></td><td class="code-block-line-content"><span class="line">}</span></td></tr></tbody></table></div></code></div></div></div></pre></div> <p><code>finalizedTranscript</code> is all of the concatenated <code>is_final=true</code> results that we’ve received since the start of the current utterance. <code>unfinalizedTranscript</code> is the most recent <code>is_final=false</code> result for which we have not yet seen an <code>is_final=true</code>. (If these concepts are unfamiliar, have a look at the documentation on <a class="fern-mdx-link" href="/docs/interim-results">interim results</a>.)</p> <p>When we detect that the current <code>finalizedTranscript</code> contains a full utterance, we send it off to Dialogflow and await the agent’s reply.</p> <p>This detection happens when there is a sufficient period of silence after the transcript. That is, when either of these conditions is met:</p> <ol class="mb-3 list-outside list-decimal space-y-2"> <li class="">We’ve reached an <a class="fern-mdx-link" href="/docs/endpointing">endpoint</a> (<code>speech_final=true</code>), or</li> <li class="">The transcripts reveal a 1.25 second silence after the last finalized word.</li> </ol> <h1 id="options-for-customizing-utterance-segmentation" data-state="closed">Options for Customizing Utterance Segmentation</h1> <p>The approach described above is a solid starting point for detecting end of utterance, but depending on your needs you may want to explore various customizations. For example, you can adjust the <code>endpointing</code> and silence detection values (currently set to <code>500ms</code> and <code>1.25s</code>, respectively). Below are some additional modifications you might consider.</p> <h2 id="update-dialogflow-with-resumed-utterances" data-state="closed">Update Dialogflow with Resumed Utterances</h2> <p>You may want to send tentative utterances to Dialogflow. Then if the user resumes speaking before the agent has replied, you can cancel the original Dialogflow operation and send the new, full utterance to Dialogflow instead. This comes with a couple of advantages:</p> <ul class="mb-3 list-outside list-disc space-y-2"> <li class=""><strong class="font-semibold">Lower latency</strong>. For example, you can set endpointing to a snappy <code>10ms</code> and send the utterance to Dialogflow right away at an endpoint. Then you get the agent reply and hold it until you verify that the user has really stopped speaking, at which point you send it to the user immediately.</li> <li class=""><strong class="font-semibold">Last-minute interjections</strong>. With this approach the user is able to add to their utterance right until the bot reply is sent to them.</li> </ul> <p>If you go this route, make sure that any actions taken by the Dialogflow agent on the tentative utterance are indeed reversible in the event of a replacement utterance. It is possible to rewind the state of the agent itself (see the parameters <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://cloud.google.com/dialogflow/cx/docs/reference/rest/v3/QueryParameters">here<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>), but the agent can’t uncall any webhooks that it called while fulfilling the user’s request.</p> <h2 id="dont-segment-on-endpoints" data-state="closed">Don’t Segment on Endpoints</h2> <p>Endpointing is sometimes said to be a poor indicator of end of utterance. On one hand, an <code>endpointing</code> value that is too low can lead to false positives. On the other hand, an <code>endpointing</code> value that is too high may simply <a class="fern-mdx-link" href="/docs/understanding-end-of-speech-detection-while-streaming#limitations-of-endpointing">not fire due to background noise</a>. So you can try leaving <code>endpointing</code> at its default value of <code>10ms</code> (for rapid finalization of transcripts) and only doing utterance segmentation based on word timing analysis.</p> <h2 id="replace-word-timing-logic-with-utterance_end_ms" data-state="closed">Replace Word Timing Logic with <code>utterance_end_ms</code></h2> <p>Finally, you may choose to use Deepgram’s <a class="fern-mdx-link" href="/docs/understanding-end-of-speech-detection-while-streaming#introducing-the-utteranceend-feature">UtteranceEnd</a> feature in place of the word timing logic. This is really a matter of preference; do you prefer the conciseness of the built-in <code>UtteranceEnd</code> message, or the clarity and flexibility of the explicit word timing logic?</p> <h1 id="audiocodes-as-an-alternative" data-state="closed">AudioCodes as an Alternative</h1> <p>Deepgram’s partner AudioCodes offers a managed solution called <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://voiceaiconnect.audiocodes.com/google-dialogflow">VoiceAI Connect<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>, which enables you to pair Deepgram’s speech-to-text with many different bot frameworks, including Dialogflow CX. Read more about our integration with AudioCodes <a class="fern-mdx-link" target="_blank" rel="noreferrer" href="https://deepgram.com/learn/audiocodes-voicebots-integration">here<svg width="1.5em" height="1.5em" viewBox="0 0 24 24" stroke-width="1.5" fill="none" xmlns="http://www.w3.org/2000/svg" color="currentColor" class="external-link-icon"><path d="M21 3L15 3M21 3L12 12M21 3V9" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path><path d="M21 13V19C21 20.1046 20.1046 21 19 21H5C3.89543 21 3 20.1046 3 19V5C3 3.89543 3.89543 3 5 3H11" stroke="currentColor" stroke-linecap="round"></path></svg></a>.</p> <hr/> <p>What’s Next</p> <ul class="mb-3 list-outside list-disc space-y-2"> <li class=""><a class="fern-mdx-link" href="/reference/deepgram-api-overview">Deepgram API Overview</a></li> </ul></div><footer class="mt-12"><div class="flex gap-4 max-sm:flex-col sm:justify-between"><div><div><div class="flex w-full flex-wrap items-center justify-between gap-4"><div 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If you don\\u2019t already have one, the easiest approach is to create a \",(0,t.jsx)(e.a,{href:\"https://cloud.google.com/dialogflow/cx/docs/concept/agents-prebuilt\",children:\"prebuilt agent\"}),\".\"]}),`\n`,(0,t.jsx)(e.h2,{id:\"try-out-the-demo\",children:\"Try Out the Demo\"}),`\n`,(0,t.jsxs)(e.p,{children:[\"Clone the \",(0,t.jsx)(e.a,{href:\"https://github.com/deepgram/dialogflow-example\",children:\"Dialogflow Example\"}),\" repo and follow the instructions in \",(0,t.jsx)(e.code,{children:\"README.md\"}),\". You\\u2019ll need to provide your Deepgram API key and your Dialogflow agent information. The \",(0,t.jsx)(e.a,{href:\"https://github.com/deepgram/dialogflow-example#demo\",children:\"video\"}),\" in the README shows how the demo should work.\"]}),`\n`,(0,t.jsx)(e.h1,{id:\"high-level-architecture\",children:\"High-Level Architecture\"}),`\n`,(0,t.jsx)(e.p,{children:\"Dialogflow agents can accept user input in the form of audio or text. If you send audio to an agent, Google will transcribe it with their own speech-to-text engine. In order to use Deepgram\\u2019s transcription, we need to transcribe the audio outside of Dialogflow and send the resulting text to our agent. If we also want to use Deepgram\\u2019s text-to-speech for the bot\\u2019s voice, we must configure Dialogflow to return agent responses as text. This diagram depicts the full process:\"}),`\n`,(0,t.jsx)(e.p,{children:(0,t.jsx)(e.img,{src:\"https://files.buildwithfern.com/https://deepgram.docs.buildwithfern.com/2025-02-21T18:42:13.663Z/images/c213cc7-dialogflow-architecture-tts.png\",alt:\"\",height:\"409\",width:\"976\"})}),`\n`,(0,t.jsxs)(e.ol,{children:[`\n`,(0,t.jsx)(e.li,{children:\"The user speaks into their microphone.\"}),`\n`,(0,t.jsx)(e.li,{children:\"The integration continuously streams the user\\u2019s speech to Deepgram.\"}),`\n`,(0,t.jsx)(e.li,{children:\"Deepgram streams back transcripts.\"}),`\n`,(0,t.jsxs)(e.li,{children:[\"The integration analyzes the transcripts to determine when the user has completed a thought (\",(0,t.jsx)(e.a,{href:\"https://deepgram.com/learn/building-a-conversational-ai-flow-with-deepgram\",children:\"\\u201Cutterance segmentation\\u201D\"}),\"). When it finds a complete utterance, it sends it to the Dialogflow agent as text.\"]}),`\n`,(0,t.jsx)(e.li,{children:\"The agent replies with its response, also in the form of text.\"}),`\n`,(0,t.jsx)(e.li,{children:\"The agent\\u2019s response is sent to Deepgram\\u2019s text-to-speech engine.\"}),`\n`,(0,t.jsx)(e.li,{children:\"Deepgram returns the response as audio.\"}),`\n`,(0,t.jsx)(e.li,{children:\"The audio is played to the user.\"}),`\n`,(0,t.jsx)(e.li,{children:\"The process repeats until the conversation is finished.\"}),`\n`]}),`\n`,(0,t.jsx)(e.h1,{id:\"deeper-look\",children:\"Deeper Look\"}),`\n`,(0,t.jsxs)(e.p,{children:[\"At any given time, \",(0,t.jsx)(e.code,{children:\"server.js\"}),\" is in one of two states. In the \",(0,t.jsx)(e.strong,{children:\"awaiting utterance\"}),\" state, it is collecting transcripts from Deepgram and looking for an indication that the user has finished their thought. In the \",(0,t.jsx)(e.strong,{children:\"awaiting bot reply\"}),\" state, it is discarding transcripts because we\\u2019ve already sent the utterance to Dialogflow and it is now the bot\\u2019s turn to speak.\"]}),`\n`,(0,t.jsxs)(e.p,{children:[\"This is the code that runs when \",(0,t.jsx)(e.code,{children:\"server.js\"}),\" receives a transcription result from Deepgram (note the two states):\"]}),`\n`,(0,t.jsx)(i,{items:[{code:`function handleDgResults(start, duration, isFinal, speechFinal, transcript, words) {\n switch (voicebotState) {\n case STATES.AwaitingUtterance:\n // Update \\`finalizedTranscript\\` and \\`unfinalizedTranscript\\` in light of the new result\n updateTranscriptState(transcript, isFinal);\n\n // Update \\`latestTimeSeen\\` and \\`latestFinalizedWordEnd\\` in light of the new result\n updateSilenceDetectionState(start, duration, words, isFinal);\n\n if (finalizedTranscript === \"\") {\n return;\n }\n\n let silenceDetected = \n unfinalizedTranscript === \"\" \u0026\u0026 latestTimeSeen - latestFinalizedWordEnd \u003e 1.25;\n\n if (silenceDetected || speechFinal) {\n changeVoicebotState(STATES.AwaitingBotReply);\n \n // Send the completed utterance to Dialogflow\n sendUtteranceDownstream(finalizedTranscript); \n }\n\n break;\n case STATES.AwaitingBotReply:\n // Discard the transcript; do nothing\n break;\n }\n}\n`,language:\"javascript\",highlightLines:[],highlightStyle:\"highlight\",maxLines:20,title:\"JavaScript\",wordWrap:!1,matchLanguage:void 0}]}),`\n`,(0,t.jsxs)(e.p,{children:[(0,t.jsx)(e.code,{children:\"finalizedTranscript\"}),\" is all of the concatenated \",(0,t.jsx)(e.code,{children:\"is_final=true\"}),\" results that we\\u2019ve received since the start of the current utterance. \",(0,t.jsx)(e.code,{children:\"unfinalizedTranscript\"}),\" is the most recent \",(0,t.jsx)(e.code,{children:\"is_final=false\"}),\" result for which we have not yet seen an \",(0,t.jsx)(e.code,{children:\"is_final=true\"}),\". (If these concepts are unfamiliar, have a look at the documentation on \",(0,t.jsx)(e.a,{href:\"/docs/interim-results\",children:\"interim results\"}),\".)\"]}),`\n`,(0,t.jsxs)(e.p,{children:[\"When we detect that the current \",(0,t.jsx)(e.code,{children:\"finalizedTranscript\"}),\" contains a full utterance, we send it off to Dialogflow and await the agent\\u2019s reply.\"]}),`\n`,(0,t.jsx)(e.p,{children:\"This detection happens when there is a sufficient period of silence after the transcript. That is, when either of these conditions is met:\"}),`\n`,(0,t.jsxs)(e.ol,{children:[`\n`,(0,t.jsxs)(e.li,{children:[\"We\\u2019ve reached an \",(0,t.jsx)(e.a,{href:\"/docs/endpointing\",children:\"endpoint\"}),\" (\",(0,t.jsx)(e.code,{children:\"speech_final=true\"}),\"), or\"]}),`\n`,(0,t.jsx)(e.li,{children:\"The transcripts reveal a 1.25 second silence after the last finalized word.\"}),`\n`]}),`\n`,(0,t.jsx)(e.h1,{id:\"options-for-customizing-utterance-segmentation\",children:\"Options for Customizing Utterance Segmentation\"}),`\n`,(0,t.jsxs)(e.p,{children:[\"The approach described above is a solid starting point for detecting end of utterance, but depending on your needs you may want to explore various customizations. For example, you can adjust the \",(0,t.jsx)(e.code,{children:\"endpointing\"}),\" and silence detection values (currently set to \",(0,t.jsx)(e.code,{children:\"500ms\"}),\" and \",(0,t.jsx)(e.code,{children:\"1.25s\"}),\", respectively). Below are some additional modifications you might consider.\"]}),`\n`,(0,t.jsx)(e.h2,{id:\"update-dialogflow-with-resumed-utterances\",children:\"Update Dialogflow with Resumed Utterances\"}),`\n`,(0,t.jsx)(e.p,{children:\"You may want to send tentative utterances to Dialogflow. Then if the user resumes speaking before the agent has replied, you can cancel the original Dialogflow operation and send the new, full utterance to Dialogflow instead. This comes with a couple of advantages:\"}),`\n`,(0,t.jsxs)(e.ul,{children:[`\n`,(0,t.jsxs)(e.li,{children:[(0,t.jsx)(e.strong,{children:\"Lower latency\"}),\". For example, you can set endpointing to a snappy \",(0,t.jsx)(e.code,{children:\"10ms\"}),\" and send the utterance to Dialogflow right away at an endpoint. Then you get the agent reply and hold it until you verify that the user has really stopped speaking, at which point you send it to the user immediately.\"]}),`\n`,(0,t.jsxs)(e.li,{children:[(0,t.jsx)(e.strong,{children:\"Last-minute interjections\"}),\". With this approach the user is able to add to their utterance right until the bot reply is sent to them.\"]}),`\n`]}),`\n`,(0,t.jsxs)(e.p,{children:[\"If you go this route, make sure that any actions taken by the Dialogflow agent on the tentative utterance are indeed reversible in the event of a replacement utterance. It is possible to rewind the state of the agent itself (see the parameters \",(0,t.jsx)(e.a,{href:\"https://cloud.google.com/dialogflow/cx/docs/reference/rest/v3/QueryParameters\",children:\"here\"}),\"), but the agent can\\u2019t uncall any webhooks that it called while fulfilling the user\\u2019s request.\"]}),`\n`,(0,t.jsx)(e.h2,{id:\"dont-segment-on-endpoints\",children:\"Don\\u2019t Segment on Endpoints\"}),`\n`,(0,t.jsxs)(e.p,{children:[\"Endpointing is sometimes said to be a poor indicator of end of utterance. On one hand, an \",(0,t.jsx)(e.code,{children:\"endpointing\"}),\" value that is too low can lead to false positives. On the other hand, an \",(0,t.jsx)(e.code,{children:\"endpointing\"}),\" value that is too high may simply \",(0,t.jsx)(e.a,{href:\"/docs/understanding-end-of-speech-detection-while-streaming#limitations-of-endpointing\",children:\"not fire due to background noise\"}),\". So you can try leaving \",(0,t.jsx)(e.code,{children:\"endpointing\"}),\" at its default value of \",(0,t.jsx)(e.code,{children:\"10ms\"}),\" (for rapid finalization of transcripts) and only doing utterance segmentation based on word timing analysis.\"]}),`\n`,(0,t.jsxs)(e.h2,{id:\"replace-word-timing-logic-with-utterance_end_ms\",children:[\"Replace Word Timing Logic with \",(0,t.jsx)(e.code,{children:\"utterance_end_ms\"})]}),`\n`,(0,t.jsxs)(e.p,{children:[\"Finally, you may choose to use Deepgram\\u2019s \",(0,t.jsx)(e.a,{href:\"/docs/understanding-end-of-speech-detection-while-streaming#introducing-the-utteranceend-feature\",children:\"UtteranceEnd\"}),\" feature in place of the word timing logic. This is really a matter of preference; do you prefer the conciseness of the built-in \",(0,t.jsx)(e.code,{children:\"UtteranceEnd\"}),\" message, or the clarity and flexibility of the explicit word timing logic?\"]}),`\n`,(0,t.jsx)(e.h1,{id:\"audiocodes-as-an-alternative\",children:\"AudioCodes as an Alternative\"}),`\n`,(0,t.jsxs)(e.p,{children:[\"Deepgram\\u2019s partner AudioCodes offers a managed solution called \",(0,t.jsx)(e.a,{href:\"https://voiceaiconnect.audiocodes.com/google-dialogflow\",children:\"VoiceAI Connect\"}),\", which enables you to pair Deepgram\\u2019s speech-to-text with many different bot frameworks, including Dialogflow CX. Read more about our integration with AudioCodes \",(0,t.jsx)(e.a,{href:\"https://deepgram.com/learn/audiocodes-voicebots-integration\",children:\"here\"}),\".\"]}),`\n`,(0,t.jsx)(e.hr,{}),`\n`,(0,t.jsx)(e.p,{children:\"What\\u2019s Next\"}),`\n`,(0,t.jsxs)(e.ul,{children:[`\n`,(0,t.jsx)(e.li,{children:(0,t.jsx)(e.a,{href:\"/reference/deepgram-api-overview\",children:\"Deepgram API Overview\"})}),`\n`]})]})}function p(n={}){let{wrapper:e}={...s(),...n.components};return e?(0,t.jsx)(e,{...n,children:(0,t.jsx)(h,{...n})}):h(n)}function u(n,e){throw new Error(\"Expected \"+(e?\"component\":\"object\")+\" `\"+n+\"` to be defined: you likely forgot to import, pass, or provide it.\")}return x(k);})();\n;return Component;","frontmatter":{"title":"Google Dialogflow CX and Deepgram","subtitle":"Dialogflow CX is a framework for building virtual agents. 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!important;\n}\n\n.white .fern-card span {\n\tbackground: white !important;\n}\n\n@media (min-width: 1024px) {\n\t.fern-header-right-menu {\n\t\tdisplay: none !important;\n\t}\n}\n\n.banner {\n\tdisplay: flex;\n\tflex-direction: column;\n\tjustify-content: center;\n\talign-items: center;\n\ttext-align: center;\n}\n\n.banner p {\n\tmargin-top: .25rem;\n\tmargin-bottom: .25rem;\n}\n\n.banner h1 {\n\tmargin-top: .5rem;\n\tmargin-bottom: 16px;\n}\n\n.fern-sidebar-link-container[data-state=\"active\"] {\n\tcolor: white !important;\n}\n\n.fern-sidebar-link-text {\n\tfont-size: 16px !important;\n}\n\n.fern-sidebar-link-container[data-state=active] .fern-sidebar-link-indent:after {\n border: 0px !important;\n}\n\n.fern-sidebar-link-container[data-state=\"active\"] .fern-sidebar-link {\n\tbackground-color: #232329 !important;\n}\n\n.fern-sidebar-link-container[data-state=\"active\"] .fern-sidebar-link:after {\n\tbackground: linear-gradient(177.85deg, #201CFF -102.27%, #13EF95 101.45%) !important;\n\twidth: 1px !important;\n\tposition: absolute !important;\n\tcontent: \"\" !important;\n\tright: 0 !important;\n\ttop: 0 !important;\n\tbottom: 0 !important;\n\tborder-radius: 8px !important;\n}\n\n.fern-sidebar-link {\n\tborder-radius: 0 !important;\n}\n\n.fern-sidebar-link-content {\n\tpadding-left: 1rem !important;\n\tpadding-right: 1rem !important;\n\tpadding-top: 0.5rem !important;\n\tpadding-bottom: 0.5rem !important;\n}\n\n.fern-sidebar-content {\n\tpadding-left: 0 !important;\n\tpadding-right: 0 !important;\n}\n\n@media (min-width: 1024px) {\n .fern-sidebar-container:not(.fern-sidebar-fixed) {\n padding-left: 0rem !important;\n }\n}\n\n.fern-header-tab-button span {\n\tfont-weight: 700 !important;\n\tfont-size: 16px !important;\n\tline-height: 17.5px !important;\n\tletter-spacing: 2% !important;\n}\n\n.fern-search-bar {\n\t--tw-ring-color: #4E4E52 !important;\n\tbackground-color: #0B0B0C !important;\n}\n\n.fern-sidebar-heading-content,\n.fern-sidebar-link-container .font-semibold .fern-sidebar-link-text {\n\tfont-weight: 700 !important;\n\tfont-size: 14px !important;\n\tline-height: 17.5px !important;\n\tletter-spacing: 2% !important;\n\tcolor: #A1F9D4 !important;\n}\n\n.fern-breadcrumb-item {\n\tcolor: var(--grayscale-a11) !important;\n\tfont-weight: 400 !important;\n}\n\nbutton[role=\"tab\"][data-state=\"active\"] {\n\tbackground-color: #1A1A1F !important;\n}\n\nbutton[role=\"tab\"][data-state=\"active\"]:after {\n\tbackground: linear-gradient(90deg, #201CFF -91.5%, #13EF95 80.05%) !important;\n\theight: 2px !important;\n\tposition: absolute !important;\n\tcontent: \"\" !important;\n\tright: 0 !important;\n\tleft: 0 !important;\n\tbottom: 0 !important;\n}\n\nbutton[role=\"tab\"] {\n\tbox-shadow: none !important;\n\tposition: relative !important;\n}\n\nbutton[role=\"tab\"]:hover span {\n\tbackground-color: #1A1A1F !important;\n}\n\ndiv[class*=\"callout\"] {\n\tborder-left-width: 2px !important;\n\tborder-color: var(--tw-ring-color) !important;\n}\n\n.fern-search-bar,\n.callout-outlined,\n.fern-card\n.fern-button {\n\tborder-radius: 8px !important;\n}\n\n.bg-tag-default-soft {\n background-color: #28282B !important;\n}\n\n.code-block-root span[style*=\"color: rgb(194, 195, 197);\"] {\n\t--shiki-dark: #949498 !important;\n}\n\n.callout-outlined {\n\tbackground-color: #1D2A34 !important;\n\t--tw-ring-color: #149AFB !important;\n}\n\n.callout-outlined-warning {\n\tbackground-color: #342D1E !important;\n\t--tw-ring-color: #FEC84B !important;\n}\n\n.callout-outlined p,\n.callout-outlined h5,\n.callout-outlined-warning p,\n.callout-outlined-warning h5,\n.callout-outlined-success p,\n.callout-outlined-success h5,\n.callout-outlined-danger p,\n.callout-outlined-danger h5,\n.callout-outlined-info p,\n.callout-outlined-info h5,\n.callout-outlined-tip p,\n.callout-outlined-tip h5,\n.callout-outlined-primary p,\n.callout-outlined-primary h5,\n.callout-outlined-check p,\n.callout-outlined-check h5,\n.callout-outlined-secondary p,\n.callout-outlined-warning li {\n\tcolor: var(--grayscale-a11) !important;\n}\n\n.callout-outlined li {\n\tmargin-top: 0px !important;\n}\n\n.callout-outlined h2 {\n\tmargin-top: 0px !important;\n}\n\n.callout-outlined-warning h2 {\n\tmargin-top: 0px !important;\n}\n\n.logs {\n\tbackground-color: #0b0b0c !important;\n\tpadding: 0.5rem !important;\n\tfont-family: var(--typography-code-font-family, var(--code-font-fallback));\n\n}\n\ndiv[class*=\"callout\"] .mt-0\\.5.w-4 {\n\talign-self: center !important;\n}\n\nspan[data-badge-type=\"http-method\"],\nspan[data-badge-type=\"status-code\"] {\n\tborder-radius: 50px !important;\n}\n\n.dg-badge {\n\tmargin-right: 6px !important;\n\tcolor: #bbbbbf !important;\n\tpadding: 1px 1px !important;\n\ttext-decoration: none !important;\n\tborder-radius: 4px !important;\n\tbackground-origin: border-box !important;\n background-image: linear-gradient(90deg, 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!important;\n}\n\n.fern-sidebar-heading {\n\tpadding-left: 28px !important;\n}\n\n.api-playground-call {\n\twidth: fit-content !important;\n\theight: fit-content !important;\n\tdisplay: flex !important;\n\talign-items: center !important;\n\tjustify-content: center !important;\n\tpadding: 1px !important;\n\tborder-radius: 4px !important;\n\tbackground-image: linear-gradient(82.38deg, #ff2eea -99.24%, #4b3cff 99.26%) !important;\n\twidth: 100% !important;\n\tmargin-top: 1rem !important;\n}\n\n.api-playground-call span:first-child {\n\tdisplay: flex !important;\n\talign-items: center !important;\n\tgap: 12px !important;\n\tbackground-color: #1A1A1F !important;\n\tpadding: 4px !important;\n\tborder-radius: 4px !important;\n\twidth: 100% !important;\n\tflex-direction: row !important;\n}\n\n.api-playground-call p {\n\tmargin: 0 !important;\n\tdisplay: flex !important;\n\talign-items: center !important;\n\twhite-space: nowrap !important;\n}\n\n.api-playground-call p div:first-child {\n\tdisplay: inline-flex !important;\n\talign-items: center !important;\n}\n\n.api-playground-call img {\n\twidth: 2.5rem !important;\n\theight: 2.5rem !important;\n\tdisplay: inline-block !important;\n\tmargin-top: 4px !important;\n\tmargin-bottom: 4px !important;\n\ttransform: scaleX(-1) !important;\n}\n\n.invert-white {\n\tfilter: invert(1) !important;\n}\n\n.fa-icon,\n.card-icon {\n\twidth: 2rem !important;\n\theight: 2rem !important;\n}\n\n.dg-badge .fa-icon {\n\twidth: 1rem !important;\n\theight: 1rem !important;\n}\n\n.fern-header,\n.fern-header-tabs {\n\tborder-bottom-width: 0px !important;\n}\n\n.fern-header-tabs-list-item span {\n\tfont-family: 'Roobert' !important;\n}\n\n.fern-header-tabs-list,\n.fern-header-tabs-list-item {\n\theight: 100% !important;\n}\n\n.fern-sidebar-link-indent {\n\tmargin-left: 20px !important;\n}\n\n.fern-sidebar-link-container[data-state=inactive] .fern-sidebar-link:hover {\n\tcolor: #FBFBFF !important;\n}\n\n.t-muted:is(.dark *) {\n\tcolor: #949498 !important;\n}\n\n.dark\\:prose-invert:is(.dark *) {\n\t--tw-prose-headings: #FBFBFF !important;\n\tcolor: #E1E1E5 !important;\n}\n\n.fern-page-heading * {\n\tcolor: #FBFBFF !important;\n}\n\n.badge a {\n\ttext-decoration: none !important;\n\tcolor: unset !important;\n}\n\n.badge svg {\n\tdisplay: none !important;\n}\n\n.dep {\n\tbackground: #bbbbbf !important;\n}\n\n.dep .fa-icon {\n\tbackground: #bbbbbf !important;\n}\n\n.dep span {\n\ttext-decoration: line-through !important;\n}\n\n.pink {\n\tbackground-image: linear-gradient(85deg, #ee028b 5.66%, #ae29ff 99.14%) !important;\n}\n\n.pink .fa-icon {\n\tbackground: linear-gradient(85deg, #ee028b 5.66%, #ae29ff 99.14%) !important;\n}\n\n#fern-header {\n\tpadding-top: 3rem !important;\n}\n\n.fern-sidebar-container {\n\tposition: sticky !important;\n\ttop: 0 !important;\n margin-top: 10rem !important;\n\toverflow-y: auto !important;\n\tz-index: 20 !important;\n\theight: 100vh !important;\n}\n\n.fern-main {\n\tmargin-top: calc(var(--header-offset, 0) + 3rem) !important;\n}\n\n.fern-endpoint-content-right .fa-icon,\n.fern-dropdown-item .fa-icon {\n\twidth: 1rem !important;\n\theight: 1rem !important;\n}\n\n.fern-endpoint-content {\n\tpadding-top: 3rem !important;\n}\n\n#fern-header {\n\tposition: absolute !important;\n}\n\ndiv[id=\"/reference/speech-to-text-api/listen#request\"] .flex.flex-col div:nth-of-type(4) span:nth-of-type(2) {\n\tdisplay: none !important;\n}\n\ndiv[id=\"/reference/speech-to-text-api/listen#request\"] .flex.flex-col div:nth-of-type(4) span:nth-of-type(1):after {\n\tcontent: \" binary\" !important;\n\tcolor: #949498 !important;\n\tfont-size: .75rem;\n line-height: 1rem;\n\tfont-family: 'Inter' !important;\n\ttext-shadow: 0 1px 3px rgba(0, 0, 0, .4);\n\tmargin-left: .5rem;\n}\n\n#fern-header {\n\tposition: absolute !important;\n}\n\n.fern-sidebar-fixed+.fern-main {\n\tpadding-left: 0px !important;\n}\n\n.api-playground-call a {\n padding-left: 4px !important;\n padding-right: 4px 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