These agents can be customized to perform a variety of tasks, from answering questions to guiding users through complex processes, all via natural spoken language.

​
Agent Configurations

It’s important to configure your voice agent to ensure it operates effectively within your specific context. Here are the main aspects you can customize:

{
  prompt: "You're a helpful assistant.", // Example prompt
  voice: {
    provider: "elevenlabs", // Voice provider
    voice_id: "voice-id" // Replace 'voice-id' with the ID of the desired voice
  },
  language: "<language_code>", // optional - use language code such as en, es
  tools: [
    {
      name: "get_user_data",
      description: "",
      webhook: "https://...",
      header: {
        "Content-Type": "application/json",
        "Authorization": ""
      },
      params: [
        {
          name: "",
          type: "string" | "number" | "boolean",
          description: "",
          required: true
        }
      ]
    }
  ], // Replace with actual function calls you need
  custom_llm_websocket: "wss://...", // optional - enable custom llm
  llm: "", // optional - choose llm model. Ex: gpt-4o, llama-3-70b
}

​
What You Can Customize

​
Prompt:

The system prompt is where you can provide specific instructions or information that the agent needs to remember and follow. This sets the initial context for your voice agent, guiding its responses and interactions.

​
LLM (Large Language Model):

(Optional) If not set, the default Millis AI model is used.

  • Model: Specifies the GPT model that your agent will operate on. We support OpenAI’s latest model, GPT-4o, as well as open-source models like Meta Llama 3.
  • Provider: The provider who provides inference for the model.

​
Voice Settings:

  • provider: The service provider for the text-to-speech service. This config determines the quality of your agent’s voice.
  • voice_d: The specific voice character from the chosen provider’s catalog, allowing you to customize how your agent sounds.

​
Language:

Defines the operational language of the agent. If not specified, English is used by default.

​
Custom LLM WebSocket:

(Optional) If you prefer using your own custom LLM, specify a WebSocket URL to enable this connection.

​
Tools:

A list of function calls the agent can execute to perform tasks or retrieve information during interactions. This includes API webhooks and other integrations.

​
LLM Model Choices

You can select the AI model for your voice agent based on your needs:

  • Default Millis AI Model: Automatically used if no specific LLM model is provided. This model is best optimized for low latency.
  • Popular Models from Providers: Like OpenAI’s GPT-4o, known for the best language processing capabilities but with a trade-off in latency.
  • Custom Model via WebSocket: Integrate your uniquely developed or tailored LLM to give your agent specialized abilities. You have full control over the agent’s capabilities.

These agents can be customized to perform a variety of tasks, from answering questions to guiding users through complex processes, all via natural spoken language.

​
Agent Configurations

It’s important to configure your voice agent to ensure it operates effectively within your specific context. Here are the main aspects you can customize:

{
  prompt: "You're a helpful assistant.", // Example prompt
  voice: {
    provider: "elevenlabs", // Voice provider
    voice_id: "voice-id" // Replace 'voice-id' with the ID of the desired voice
  },
  language: "<language_code>", // optional - use language code such as en, es
  tools: [
    {
      name: "get_user_data",
      description: "",
      webhook: "https://...",
      header: {
        "Content-Type": "application/json",
        "Authorization": ""
      },
      params: [
        {
          name: "",
          type: "string" | "number" | "boolean",
          description: "",
          required: true
        }
      ]
    }
  ], // Replace with actual function calls you need
  custom_llm_websocket: "wss://...", // optional - enable custom llm
  llm: "", // optional - choose llm model. Ex: gpt-4o, llama-3-70b
}

​
What You Can Customize

​
Prompt:

The system prompt is where you can provide specific instructions or information that the agent needs to remember and follow. This sets the initial context for your voice agent, guiding its responses and interactions.

​
LLM (Large Language Model):

(Optional) If not set, the default Millis AI model is used.

  • Model: Specifies the GPT model that your agent will operate on. We support OpenAI’s latest model, GPT-4o, as well as open-source models like Meta Llama 3.
  • Provider: The provider who provides inference for the model.

​
Voice Settings:

  • provider: The service provider for the text-to-speech service. This config determines the quality of your agent’s voice.
  • voice_d: The specific voice character from the chosen provider’s catalog, allowing you to customize how your agent sounds.

​
Language:

Defines the operational language of the agent. If not specified, English is used by default.

​
Custom LLM WebSocket:

(Optional) If you prefer using your own custom LLM, specify a WebSocket URL to enable this connection.

​
Tools:

A list of function calls the agent can execute to perform tasks or retrieve information during interactions. This includes API webhooks and other integrations.

​
LLM Model Choices

You can select the AI model for your voice agent based on your needs:

  • Default Millis AI Model: Automatically used if no specific LLM model is provided. This model is best optimized for low latency.
  • Popular Models from Providers: Like OpenAI’s GPT-4o, known for the best language processing capabilities but with a trade-off in latency.
  • Custom Model via WebSocket: Integrate your uniquely developed or tailored LLM to give your agent specialized abilities. You have full control over the agent’s capabilities.