Easily monitor, measure, and improve quality of experience with Agora Analytics and Datadog integration, to keep a pulse on both usage and quality metrics from Agora’s Chat SDK for mobile and desktop.
Agora enables more natural voice conversations with AI, thanks to low-latency responses and real-time interruption handling. Agora’s built-in background noise suppression, echo cancelation, and selective attention locking allow AI to hear the user clearly in any environment. Agora’s global real-time network ensures connectivity and performance in any location.
You can connect to any LLM that is OpenAI compatible, including OpenAI’s GPT models, Google Gemini, DeepSeek or any custom model that is OpenAI-compatible. Support for additional LLMs coming soon!
To implement a voice AI agent, you need to connect an LLM and a text-to-speech service to Agora’s Conversational AI Engine. This enables full customization of the experience, with the LLM and voice of your choice.
The chained model refers to the flow of the user’s voice being processed by speech-to-text technology, then that text being processed by the LLM, then the LLM’s response being processed by text-to-speech technology and ultimately outputting the AI agent’s voice response.
No, Agora’s Conversational AI Engine requires an existing AI model or LLM. The Engine enables customized voice interaction with the LLM but is not capable of creating or training an LLM.