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Documentation Index

Fetch the complete documentation index at: https://visionagents.ai/llms.txt

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Deepgram provides low-latency text-to-speech synthesis with the Aura-2 model.
Vision Agents requires a Stream account for real-time transport. Most providers offer free tiers to get started.
Deepgram also provides fast, accurate speech-to-text with built-in turn detection. You can use both in the same agent.

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Installation

uv add "vision-agents[deepgram]"

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Quick Start

from vision_agents.core import Agent, User
from vision_agents.plugins import deepgram, gemini, getstream

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Assistant", id="agent"),
    instructions="You are a helpful assistant.",
    llm=gemini.LLM("gemini-3-flash-preview"),
    stt=deepgram.STT(),
    tts=deepgram.TTS(),
)
Set DEEPGRAM_API_KEY in your environment or pass api_key directly.

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Parameters

tts = deepgram.TTS(
    model="aura-2",
    voice="aura-asteria-en",
)
NameTypeDefaultDescription
modelstr"aura-2"TTS model
voicestr"aura-asteria-en"Voice ID (available voices)
api_keystrNoneAPI key (defaults to DEEPGRAM_API_KEY env var)

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Next Steps

Deepgram STT

Real-time speech-to-text

Build a Voice Agent

Get started with voice