Daily

To build real-time voice AI pipelines with Pipecat, you need architectural guidance for transport options, context management, and function calling. This requires orchestrating multimodal components into a production-ready agent framework.

Daily is used as a real-time transport layer for multimodal AI pipelines. It provides the integration points and capabilities necessary to stream audio and video data between users and Pipecat-based AI agents.

Yes, Daily supports function calling within real-time AI agent pipelines. Developers can implement integration patterns that allow the agent to trigger external tools and actions based on conversational context.

Deploying production-ready real-time voice agents requires robust context management, transport configuration, and observability strategies. You must apply architectural patterns that handle real-time multimodal data streams effectively.

Architecture patterns for real-time multimodal AI orchestration involve structuring pipeline components for continuous data streaming, context retention, and function execution. These patterns ensure responsive interaction between transport layers and AI models.