Enhancing Conversational Ai Latency With Efficient Tts Pipelines

Breaks end-to-end voice agent latency into measurable stages, so builders can tell whether delay comes from the model, the LLM's first token, or audio generation.

• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

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