Conversational AI
Updated
Build low-latency AI conversation products with Agora's conversational engine, developer toolkits, and OpenAI Realtime integration path.
Conversational AI is the capability layer for products where the primary interface is a live conversation with an AI system. In this category, voice is not just an input channel. It is the product experience itself.
Agora groups several related surfaces under this layer:
- Conversational AI Engine for production voice-agent workflows
- AI developer toolkits for client and server integration
- OpenAI Realtime integration for teams that want to combine Agora transport with OpenAI Realtime-style model interaction
What this category is good for
This category is the right entry point when you need:
- voice-first AI assistants and copilots
- customer service and sales agents
- tutors, role-play systems, and spoken learning experiences
- AI-powered smart devices and hardware endpoints
- multimodal products where an agent participates in a live session
The common requirement is natural turn-taking, low response latency, interruption handling, and a live connection between the user and the AI system.
Products and paths in this category
Conversational AI Engine
The main product path for building real-time voice agents with managed speech, reasoning, interruption handling, and agent lifecycle control.
AI Developer Toolkits
Client and server integration surfaces for web, mobile, and backend teams that need to build custom AI experiences on top of Agora.
OpenAI Realtime
A guided path for teams that want to connect Agora real-time transport with OpenAI Realtime-style voice interaction flows.
Start here
Conversational AI Engine
AI quickstart
OpenAI Realtime
Key characteristics
Ultra-low latency
Keep spoken interaction responsive enough for natural back-and-forth conversation rather than turn-based chatbot behavior.
Voice-native interaction
Combine real-time audio transport with ASR, LLM, TTS, interruption handling, and agent lifecycle control in one interaction model.
Flexible model strategy
Start from Agora-managed paths or integrate custom LLM, ASR, and TTS combinations depending on control and quality requirements.
Cross-platform implementation
Build across web, mobile, backend, and device surfaces with a shared mental model for sessions, events, and agent behavior.
Extensible to business workflows
Add custom data, event subscriptions, server-side orchestration, and downstream analytics without redesigning the whole interaction loop.
Built on real-time transport
Reuse Agora's voice path and session model so AI can participate as part of a live system, not only as a detached API call.