Feature Request: Low-Latency Semantic Transition Engine (Embedding-Based Routing)

[Pulkit0729]

Currently, Pipecat Flows supports rule-based transitions through explicit functions and Python logic. There is no built-in support for semantic condition-based routing.

For use cases where transition conditions are nuanced and intent-driven (especially in voice agents), rule-based logic becomes difficult to scale and maintain.
Request

Add support for semantic condition-based transitions, where flow routing can be determined based on the meaning of the user’s input rather than strictly predefined rule logic.

Why This Is Needed

Many real-world conversational flows rely on intent-level understanding.

Rule-based branching does not scale well for complex or natural user responses.

Voice agents particularly benefit from semantic routing to maintain conversational fluidity.

[markbackman]

Can you explain what you're thinking? Tools provide a strong signal from the LLM that it's making a decision.