AI agent streaming in action: barge-in, human handover, and session continuity

Ably AI Transport addresses the common issue of losing session continuity in AI agent interactions due to connection drops, page refreshes, or device switches by storing session states in a resilient channel rather than tying them to a specific connection. This approach allows for seamless reconnection and continuation of AI conversations without the need to re-run inference, providing a more robust user experience. The system supports bi-directional communication channels that enable user interruptions, known as "barge-in," and facilitate organization-side human-in-the-loop (HITL) scenarios where supervisors can join ongoing sessions with full context. Ably AI Transport also enhances multi-agent coordination by allowing specialized agents to publish progress updates independently of a central orchestrator, utilizing Ably LiveObjects to manage user interactions and state changes in real-time. This infrastructure layer improves the reliability and efficiency of AI-driven applications, offering integration options with various large language models (LLMs) and agent frameworks.

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