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Configure Models

Dograh Platform ships with its own models by default. When you sign up on https://app.dograh.com or you setup the platform on your self hosted infrastructure, you get some Dograh model credits by default. If you wish to change the models to a provider of your own choice, ou can go to https://app.dograh.com/model-configurations if you are on hosted version of Dograh or go to http://localhost:3010/model-configurations if you are running Dograh locally. You can see the configuration for the inference provider in the following screenshot. Model Configuration You can select the provider from the dropdown and configure the API key, model, etc. For Dograh, you can see Service Keys documentation for instructions on how to create Service Keys to be used in Model Configuration. Next there are some in depth documentation of various AI Models that you can configure.

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Gemini 3.1 Live

Gemini 3.1 Live is Google’s realtime multimodal API that handles both LLM and voice in a single model. Instead of configuring separate LLM, TTS, and STT services, Gemini Live acts as an all-in-one realtime provider — it processes speech input, generates a response, and speaks it back, all over a single streaming connection. Dograh supports Gemini 3.1 Live as a Realtime provider. The default model is gemini-3.1-flash-live-preview.

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Available Voices

You can choose from the following built-in voices:
VoiceDescription
PuckDefault voice
Charon—
Kore—
Fenrir—
Aoede—

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Getting a Gemini API Key

To use Gemini 3.1 Live with Dograh, you need a Google Gemini API key. Follow these steps:
  1. Go to Google AI Studio.
  2. Sign in with your Google account.
  3. Click on Get API Key in the left sidebar.
  4. Click Create API Key.
  5. Select an existing Google Cloud project or create a new one.
  6. Copy the generated API key and store it securely.
The Gemini API key is different from a Google Cloud service account key. You specifically need a Gemini API key from Google AI Studio for use with Dograh.

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Configuring Gemini 3.1 Live in Dograh

  1. Go to Model Configurations in your Dograh dashboard (https://app.dograh.com/model-configurations for hosted or http://localhost:3010/model-configurations for local).
  2. Under the Realtime section, select google_realtime as the provider.
  3. Paste your Gemini API key.
  4. Select the model (gemini-3.1-flash-live-preview is available by default, or you can enter a model name manually).
  5. Choose a voice from the dropdown (default is Puck).
  6. Select the language (currently en is supported).
When using a Realtime provider like Gemini Live, you do not need to configure separate LLM, TTS, and STT services — the realtime model handles all three.