> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.vapi.ai/providers/integrations/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.vapi.ai/_mcp/server.

# Integrations

> Integrations let you connect your own provider accounts to Vapi. Learn what an integration is, when you need one, and how to add provider credentials in the dashboard.

An integration connects your own provider account to Vapi, so a provider runs on your credentials instead of Vapi's. Use one when you want to run a provider on your own account, for example to use your own plan, rate limits, or custom models. This guide shows you how to add a provider's credentials to Vapi.

## How it works

By default, Vapi provides access to its supported providers, so you can select a voice, model, or transcriber on an assistant without any setup. You only add an integration when you want to use your own account with a provider.

When you add your own credentials for a provider, Vapi uses your account with that provider. If you don't add an integration, Vapi's default access is used.

## Prerequisites

* An account with the provider you want to connect.
* That provider's API key or credentials, with access to every endpoint Vapi calls for that provider.

> **Note**
>
> Some providers let you restrict API keys to specific endpoints, while others do not. When a provider supports endpoint restrictions, grant access to every endpoint Vapi uses. Check the provider's page under [Voices](/providers/voice/overview), [Models](/providers/model/overview), or [Transcribers](/providers/transcriber/overview) for provider-specific API key requirements.

## Steps

#### Open Integrations in the dashboard

In the [Vapi Dashboard](https://dashboard.vapi.ai), open **Integrations**.

#### Select the provider

Choose the provider you want to connect from the list.

#### Add your credentials

Enter your provider API key or credentials and save. Vapi validates them when you save.

#### Use the provider on an assistant

Select the provider on an assistant as usual. Vapi now uses your account for that provider.

## Verify it works

After you save, the dashboard shows the provider as connected. Select the provider on an assistant and start a call or chat to confirm it runs on your account.

## Related

#### [Model providers](/providers/model/overview)

The LLM providers you can use as an assistant's model.

#### [Voices](/providers/voice/overview)

The text-to-speech providers you can use for an assistant's voice.

> Connect your own provider accounts to Vapi and use them with your own credentials

## Docs

- [Transcribers (Speech-to-text)](https://docs.vapi.ai/providers/transcriber/overview.md): Reference of every speech-to-text provider Vapi supports, including provider IDs and where to configure each one.
- [AssemblyAI](https://docs.vapi.ai/providers/transcriber/assembly-ai.md): Configure AssemblyAI speech models, multilingual transcription, language steering, and prompting for a Vapi assistant.
- [Azure](https://docs.vapi.ai/providers/transcriber/azure.md): Configure Azure Speech as your Vapi assistant's transcriber and select from the languages Vapi supports.
- [Cartesia](https://docs.vapi.ai/providers/transcriber/cartesia.md): Configure Cartesia as your Vapi assistant's transcriber, including supported languages and transcription options.
- [Deepgram](https://docs.vapi.ai/providers/transcriber/deepgram.md): Configure Deepgram as your Vapi assistant's transcriber, including supported models and languages.
- [ElevenLabs](https://docs.vapi.ai/providers/transcriber/elevenlabs.md): Configure ElevenLabs as your Vapi assistant's transcriber, including Scribe models and supported languages.
- [Gladia](https://docs.vapi.ai/providers/transcriber/gladia.md): Configure a Gladia transcription model, language, and provider settings for a Vapi assistant.
- [Google](https://docs.vapi.ai/providers/transcriber/google.md): Configure Google as your Vapi assistant's transcriber, including Gemini transcription models and supported languages.
- [OpenAI](https://docs.vapi.ai/providers/transcriber/openai.md): Configure OpenAI as your Vapi assistant's transcriber, including transcription models and supported languages.
- [Soniox](https://docs.vapi.ai/providers/transcriber/soniox.md): Connect Soniox to a Vapi assistant and configure the stt-rt-v5 real-time speech-to-text model for low-latency, multilingual transcription and endpointing.
- [Speechmatics](https://docs.vapi.ai/providers/transcriber/speechmatics.md): Configure Speechmatics as your Vapi assistant's transcriber and review setup guidance and supported options.
- [xAI](https://docs.vapi.ai/providers/transcriber/xai.md): Configure xAI as your Vapi assistant's transcriber, including supported models, languages, and transcription options.
- [Model providers](https://docs.vapi.ai/providers/model/overview.md): Reference of every large language model provider Vapi supports, including provider IDs and where to configure each one.
- [Anthropic](https://docs.vapi.ai/providers/model/anthropic.md): Connect Anthropic to Vapi to use Claude models as your voice agent's language model. Covers the supported Claude models and how to use them in the API.
- [Anthropic Bedrock](https://docs.vapi.ai/providers/model/anthropic-bedrock.md): Connect AWS Bedrock credentials to Vapi and use Anthropic Claude models with your AWS account, regions, rate limits, and data controls.
- [Anyscale](https://docs.vapi.ai/providers/model/anyscale.md): Connect an Anyscale account to Vapi and configure an assistant with the exact model ID available through your Anyscale account.
- [Azure OpenAI](https://docs.vapi.ai/providers/model/azure-openai.md): Connect an Azure OpenAI resource to Vapi. Configure credentials, deployment names, supported models, regions, and endpoints.
- [Cerebras](https://docs.vapi.ai/providers/model/cerebras.md): Connect a Cerebras API key to Vapi and configure an assistant with an exact model ID from your Cerebras account.
- [DeepInfra](https://docs.vapi.ai/providers/model/deepinfra.md): Connect a DeepInfra account to Vapi and configure an assistant with an exact model ID from DeepInfra's current model catalog.
- [DeepSeek](https://docs.vapi.ai/providers/model/deepseek.md): Connect a DeepSeek API key to Vapi and configure an assistant with a supported DeepSeek model.
- [Google](https://docs.vapi.ai/providers/model/gemini.md): Configure Google Gemini as your Vapi assistant's language model and choose from the models Vapi supports.
- [Groq](https://docs.vapi.ai/providers/model/groq.md): Connect Groq to Vapi, choose a supported model, and configure it as your assistant's language model.
- [Inflection AI](https://docs.vapi.ai/providers/model/inflection-ai.md): Connect an Inflection AI API key to Vapi and configure an assistant with a supported Inflection AI model.
- [MiniMax](https://docs.vapi.ai/providers/model/minimax.md): Configure MiniMax as your Vapi assistant's language model and choose from the models Vapi supports.
- [Mistral](https://docs.vapi.ai/providers/model/mistral.md): Connect Mistral to Vapi to use Mistral Large and Mistral Small as your voice agent's language model. Configure it in the dashboard.
- [OpenAI](https://docs.vapi.ai/providers/model/openai.md): Configure OpenAI as your Vapi assistant's language model and choose from the GPT models Vapi supports.
- [OpenRouter](https://docs.vapi.ai/providers/model/openrouter.md): Connect an OpenRouter account to Vapi and configure an assistant with an exact model ID from OpenRouter's current model catalog.
- [Perplexity](https://docs.vapi.ai/providers/model/perplexity.md): Connect a Perplexity account to Vapi and configure an assistant with an exact model ID supported by the Perplexity Sonar API.
- [The Grid](https://docs.vapi.ai/customization/custom-llm/thegrid.md): Wire The Grid, an OpenAI-compatible inference marketplace, into Vapi with the custom-llm provider and Custom Credentials.
- [Together AI](https://docs.vapi.ai/providers/model/togetherai.md): Connect a Together AI account to Vapi and configure an assistant with an exact model ID from Together AI's current serverless catalog.
- [xAI](https://docs.vapi.ai/providers/model/xai.md): Configure xAI as your Vapi assistant's language model and choose from the Grok models Vapi supports.
- [Voices (Text-to-speech)](https://docs.vapi.ai/providers/voice/overview.md): Find, preview, and use text-to-speech voices from any Vapi-supported provider, and look up a voiceId in the Vapi dashboard.
- [Vapi Voices](https://docs.vapi.ai/providers/voice/vapi-voices.md): Browse Vapi's curated voices, preview voice samples, review language support, and configure a Vapi voice on an assistant.
- [Legacy voice migration guide](https://docs.vapi.ai/providers/voice/vapi-voices/legacy-migration.md): Migrate from legacy Vapi Voices retired on March 1, 2026, seeing which voices were removed, the new human voice clones, and how to update your assistants.
- [Azure](https://docs.vapi.ai/providers/voice/azure.md): Configure Azure Speech as your Vapi assistant's text-to-speech provider and select an Azure voice.
- [Cartesia](https://docs.vapi.ai/providers/voice/cartesia.md): Configure Cartesia as your Vapi assistant's text-to-speech provider, including supported languages and voice options.
- [Deepgram](https://docs.vapi.ai/providers/voice/deepgram.md): Configure Deepgram as your Vapi assistant's text-to-speech provider and select a Deepgram Aura voice.
- [ElevenLabs](https://docs.vapi.ai/providers/voice/elevenlabs.md): Configure ElevenLabs as your Vapi assistant's text-to-speech provider and select an ElevenLabs voice.
- [Hume](https://docs.vapi.ai/providers/voice/hume.md): Connect Hume to Vapi to use its expressive Octave text-to-speech voices for your voice agent. Covers the models and how to select a voice in the API.
- [Inworld](https://docs.vapi.ai/providers/voice/inworld.md): Configure Inworld text-to-speech models, voices, languages, and synthesis options for a Vapi assistant.
- [LMNT](https://docs.vapi.ai/providers/voice/imnt.md): Configure an LMNT voice for a Vapi assistant and find its voice ID in the Vapi Voice Library.
- [MiniMax](https://docs.vapi.ai/providers/voice/minimax.md): Configure MiniMax as your Vapi assistant's text-to-speech provider, including voice models, voice IDs, and subtitle timing.
- [Neuphonic](https://docs.vapi.ai/providers/voice/neuphonic.md): Connect Neuphonic to Vapi to use its text-to-speech voices for your voice agent. Covers how to select a Neuphonic voice in the API.
- [OpenAI](https://docs.vapi.ai/providers/voice/openai.md): Configure OpenAI as your Vapi assistant's text-to-speech provider, including TTS models and voice selection.
- [Rime AI](https://docs.vapi.ai/providers/voice/rimeai.md): Configure a Rime AI model and voice for a Vapi assistant and find its voice ID in the Vapi Voice Library.
- [Smallest AI](https://docs.vapi.ai/providers/voice/smallest-ai.md): Connect Smallest AI to Vapi to use its low-latency text-to-speech voices for your voice agent. Covers the model and how to select a voice in the API.
- [WellSaid](https://docs.vapi.ai/providers/voice/wellsaid.md): Connect WellSaid Labs to Vapi to use its studio-quality text-to-speech voices for your voice agent. Covers the models and how to select a voice in the API.
- [xAI](https://docs.vapi.ai/providers/voice/xai.md): Configure xAI as your Vapi assistant's text-to-speech provider, including supported voices, languages, and voice options.
- [AWS S3](https://docs.vapi.ai/providers/cloud/s3.md): Store Vapi call recordings in AWS S3 by configuring your S3 credential and bucket in Cloud Providers, uploading recordings when each conversation ends.
- [GCP Cloud Storage](https://docs.vapi.ai/providers/cloud/gcp.md): Store Vapi call recordings in Google Cloud Storage by configuring your GCP credential and bucket in Cloud Providers, uploading recordings when a call ends.
- [Cloudflare R2](https://docs.vapi.ai/providers/cloud/cloudflare.md): Store Vapi call recordings in Cloudflare R2 by configuring your R2 credential and bucket in Cloud Providers, uploading recordings when each conversation ends.
- [Azure Blob Storage](https://docs.vapi.ai/providers/cloud/azure.md): Store Vapi call recordings in Azure Blob Storage by configuring your connection string and container in Cloud Providers, uploading recordings when each conversation ends.
- [Supabase S3 Storage](https://docs.vapi.ai/providers/cloud/supabase.md): Store Vapi call recordings in Supabase Storage by configuring your Supabase credential and bucket in Cloud Providers, uploading recordings when a call ends.
- [Langfuse Integration with Vapi](https://docs.vapi.ai/providers/observability/langfuse.md): Integrate Vapi with Langfuse for enhanced voice AI telemetry monitoring, enabling improved performance and reliability of your AI applications.
- [Voiceflow](https://docs.vapi.ai/providers/voiceflow.md): Connect Vapi with Voiceflow by hosting a proxy that routes Voiceflow requests to Vapi's text completion API and returns responses to your Voiceflow agent.
- [ChatDash Integration with Vapi](https://docs.vapi.ai/providers/chat-dash.md): Integrate ChatDash with Vapi to give AI agent agencies a white-label dashboard with analytics, call logs, and Stripe billing using your Agent ID and API key.
- [Vapify Integration with Vapi](https://docs.vapi.ai/providers/vapify.md): Integrate Vapify with Vapi to run a white-label voice AI agency without code, giving your clients a branded dashboard and the tools to sell and deliver agents.
- [Voicerr AI - Whitelabel AI Voice Agents](https://docs.vapi.ai/providers/voicerr-ai.md): Voicerr AI is a Vapi-powered voice platform that lets agencies brand dashboards, automate billing, launch campaigns, and run full call-center operations at unlimited scale.
- [VoiceAIWrapper Integration with Vapi](https://docs.vapi.ai/providers/voiceaiwrapper.md): Integrate VoiceAIWrapper with Vapi to launch a white-label voice AI agency, adding client onboarding, billing, and campaign management on top of Vapi's APIs.
- [Sympana Connector](https://docs.vapi.ai/providers/sympana-connector.md): Connect Vapi agents to GoHighLevel with Sympana Connector, a managed automation layer for outbound sequences, inbound routing, and CRM syncing inside GHL.