An overview of the various components that make up Bolna Voice AI agents, along with the key tasks these agents are designed to perform.
Bolna Voice AI is built on a modular architecture that combines multiple AI components into seamless conversational agents. Understanding these core concepts will help you build more effective voice AI applications.Bolna helps you create AI Agents which can be instructed to perform tasks using a modular pipeline:
The transcriber component converts spoken input into text format that the LLM can understand. Bolna supports multiple ASR providers including Deepgram, Azure, AssemblyAI, and Sarvam.
The LLM component processes the transcribed input and generates appropriate responses. It’s the “brain” of your agent that understands context and makes decisions. Bolna integrates with OpenAI, Azure OpenAI, Anthropic, and other providers.
