Agents
An AI agent that users talk to by voice, which listens, reasons, calls tools, and answers in speech.
An AI agent that users talk to by voice, which listens, reasons, calls tools, and answers in speech. It is built either as a chained pipeline of speech-to-text, a text agent, and text-to-speech, or as a single speech-to-speech model that handles audio directly. Chained pipelines let you inspect and swap each stage, while speech-to-speech models cut latency and handle interruptions more naturally.
Primary source: developers.openai.com
Example
In practice, developers reach for Voice Agent when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
An AI agent that users talk to by voice, which listens, reasons, calls tools, and answers in speech.
Voice Agent sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including Voice Agent. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.
The infrastructure that runs evals end to end: it feeds tasks to the model or agent, records every step, applies graders, and aggregates the results into scores.
A development approach where you describe what you want in natural language and let an AI agent handle the implementation details.

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