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Pydantic AI adds voice agents on ElevenLabs Realtime

According to a post on X by @marcelotryle, Pydantic AI now supports voice agents on ElevenLabs' Eleven Realtime. Developers can use the same tools and instructions as a text agent by calling agent.realtime('elevenlabs:eleven_realtime_v1_mini'). The post also says that if a user cuts the agent off mid-sentence, the agent only remembers what the user actually heard. The source snippet is partial, so other details are not covered here.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-01T15:05:00+00:00 Detected 2026-11-01T18:34:27+00:00
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According to a post on X by @marcelotryle, Pydantic AI now supports voice agents on ElevenLabs' Eleven Realtime. Developers can use the same tools and instructions as a text agent by calling agent.realtime('elevenlabs:eleven_realtime_v1_mini'). The post also says that if a user cuts the agent off mid-sentence, the agent only remembers what the user actually heard. The source snippet is partial, so other details are not covered here.

AI-assisted summary based on the listed source.

@marcelotryle announced that Pydantic AI now supports voice agents on ElevenLabs' Eleven Realtime, using the same tools and instructions as a text agent through agent.realtime('elevenlabs:eleven_realtime_v1_mini'). If you cut the agent off mid-sentence, it only remembers what you actually heard. Why it matters:...

Python developers using Pydantic AI could add a voice front end to existing agents, according to the post. The interruption behavior matters for voice use, since the agent's memory tracks only the speech the user heard. Watch for official documentation or release details to confirm how the feature works in practice.

Developers may want to compare this with their current tools, dependencies, or workflow plans.

Signal Strength 93% Technical label WATCH Public Interest 61 Category CREATOR TOOLS Reader Depth PRACTICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 73 Practical Impact Score 46 Novelty Interest Score 94 Consequence Score 18 Curiosity Score 48 Shareability Score 69

VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).