Kokoro TTS Plugin
This package integrates the open-weight Kokoro-82M TTS model with Vision Agents.
Kokoro runs locally and produces 24 kHz mono PCM audio. Model initialization is handled by the Vision Agents warmup lifecycle.
from vision_agents.plugins import kokoro
tts = kokoro.TTS(lang_code="a", voice="af_heart")
try:
await tts.warmup()
audio_chunks = []
async for chunk in tts.send_iter("Hello from Kokoro!"):
if chunk.data:
audio_chunks.append(chunk.data)
finally:
await tts.close()
Installation
uv add "vision-agents[kokoro]"
# or directly
uv add vision-agents-plugins-kokoro
This installs the required kokoro, misaki, and numpy dependencies. You also need espeak-ng at runtime for phonemization. On macOS you can install it with Homebrew:
brew install espeak-ng
Configuration options
| Parameter | Default | Description |
|---|---|---|
lang_code |
"a" |
Language group passed to KPipeline ("a" is American English). |
voice |
"af_heart" |
Kokoro voice preset. See the Kokoro voices. |
speed |
1.0 |
Playback speed multiplier. |
sample_rate |
24000 |
Output sample rate. Kokoro produces 24 kHz audio. |
device |
None |
Optional device passed to KPipeline, such as "cpu" or "cuda". |
client |
None |
Optional pre-initialized KPipeline. |
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