Deepgram Plugin
Speech-to-Text (STT) and Text-to-Speech (TTS) plugins for Vision Agents using the Deepgram API.
Installation
uv add "vision-agents[deepgram]"
# or directly
uv add vision-agents-plugins-deepgram
Speech-to-Text (STT)
High-quality speech recognition using Deepgram's Flux model with built-in turn detection.
from vision_agents.plugins import deepgram
stt = deepgram.STT(
model="flux-general-en", # Default model
eager_turn_detection=True, # Enable eager end-of-turn detection
)
STT Docs
- https://developers.deepgram.com/docs/flux/quickstart
- https://github.com/deepgram/deepgram-python-sdk/blob/main/examples/listen/v2/connect/async.py
Text-to-Speech (TTS)
Low-latency text-to-speech using Deepgram's Aura model via WebSocket streaming.
from vision_agents.plugins import deepgram
tts = deepgram.TTS(
model="aura-2-thalia-en", # Default voice
sample_rate=16000, # Audio sample rate
)
Available Voices
Deepgram offers various Aura voice models:
aura-2-thalia-en- Default female voiceaura-2-orion-en- Male voice- See TTS Models for all options
TTS Docs
- https://developers.deepgram.com/docs/tts-websocket
- https://developers.deepgram.com/docs/streaming-text-to-speech
Environment Variables
Set DEEPGRAM_API_KEY in your environment or pass api_key to the constructor.
Example
See the example directory for a complete working example using both STT and TTS.
2 maintainers
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