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Conversational AI Engine: Create advanced voice apps by combining Agora’s real-time audio with powerful conversational AI.

Google Gemini

Google Gemini provides advanced multimodal AI capabilities with fast performance and efficient processing for conversational AI applications.

Sample configuration​

The following example shows a starting llm parameter configuration you can use when you Start a conversational AI agent.


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"llm": {
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"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:streamGenerateContent?alt=sse&key=<api_key>",
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"system_messages": [
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{
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"parts": [
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{
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"text": "You are a helpful chatbot"
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}
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],
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"role": "user"
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}
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],
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"max_history": 32,
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"greeting_message": "Good to see you!",
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"failure_message": "Hold on a second.",
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"params": {
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"model": "gemini-2.0-flash"
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},
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"style": "gemini"
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}

Key parameters​

  • url: Note that the API key is passed in the URL query parameter. Get your API key from Google AI Studio.
  • system_messages: Use parts array with text objects instead of simple content string.
  • model: Refer to Gemini models for available models.
  • style: Set to "gemini" to use Gemini's message format.
  • ignore_empty: Set to true to handle empty responses appropriately.

For advanced configuration options, model capabilities, and detailed parameter descriptions, see the Google Gemini API documentation.