Vocence Python SDK
Official Python client for the Vocence Developer API.
pip install vocence # REST + WebSocket
pip install "vocence[audio]" # adds Turn.play() and the mic ↔ agent live-chat helper
Quickstart
from vocence import Vocence
client = Vocence(api_key="voc_live_...")
# 1. Browse the catalog of pre-defined speakers
for v in client.voices.builtin():
print(v.id, v.name, "—", v.description)
# 2. Synthesize text in one of them
audio = client.tts.speak(text="Hello from Vocence!", voice="design-aria")
print(audio.audio_url)
# 3. Transcribe an audio clip
text = client.stt.transcribe(audio_path="clip.wav", language="English").text
print(text)
Async usage mirrors the sync API exactly:
import asyncio
from vocence import AsyncVocence
async def main() -> None:
async with AsyncVocence(api_key="voc_live_...") as client:
audio = await client.tts.speak(text="Hello", voice="design-aria")
print(audio.audio_url)
asyncio.run(main())
Voice agents over WebSocket
import asyncio
from vocence import AsyncVocence
async def main() -> None:
async with AsyncVocence(api_key="voc_live_...") as client:
async with client.agents.session("agent-id") as session:
await session.send_text("What's the weather in Tokyo?")
async for event in session:
print(event)
if event.type == "turn_end":
break
asyncio.run(main())
The session yields typed events: ready, transcript, token,
tool_call_started, tool_call_completed, audio_meta, audio (binary PCM16),
audio_end, turn_end, error.
For one-shot turns (no streaming), use the higher-level conversation API:
async with client.agents.conversation("agent-id") as conv:
turn = await conv.say("What's the weather in Tokyo?")
print(turn.text) # "It's 19 degrees..."
open("reply.pcm", "wb").write(turn.audio)
print(turn.audio_meta) # {'sample_rate': 24000, 'frame_ms': 40, ...}
The sync Vocence client exposes client.agents.session(agent_id) as a
blocking context manager — events are iterated with a normal for loop:
with Vocence(api_key="voc_live_...").agents.session("agent-id") as sess:
sess.send_text("hi")
for event in sess:
if event.type == "turn_end":
break
Optional: audio-lifecycle notifications (tighter barge-in)
When you're streaming user PCM back to the server (live mic input) AND playing the agent's reply through a speaker, you can tell the server exactly when the speakers go active vs. silent. The server uses these signals to drop echo PCM frames before they reach STT, which makes barge-in and interruption handling noticeably crisper.
async with client.agents.session("agent-id") as sess:
await sess.start_stream()
async for event in sess:
if event.type == "audio" and not playback_started:
playback_started = True
await sess.notify_audio_started() # speakers went hot
play(event.data)
elif event.type == "audio":
play(event.data)
elif event.type == "turn_end":
await wait_for_speaker_drain()
await sess.notify_audio_settled() # speakers silent again
break
Both methods are optional. If you skip them (or one gets lost mid-flight), the server falls back to a 6 second safety auto-release on the mic gate — barge-in still works, it just feels a bit looser.
Same contract on the sync Vocence client: sess.notify_audio_started()
and sess.notify_audio_settled() are blocking calls.
Building your own pipeline? See vocence-plugins
This SDK talks to a Vocence-hosted voice agent — the agent owns its
STT, LLM, TTS, knowledge base, tool dispatch, and call history. If
you instead run your own real-time voice-agent pipeline and just
want Vocence voices + recognition as components,
vocence-plugins ships
drop-in VocenceTTS and VocenceSTT classes that conform to the
standard streaming TTS / STT abstract interfaces.
| Use case | Use |
|---|---|
| Talk to a Vocence-hosted voice agent | vocence (this package) |
| Build your own agent pipeline with Vocence voices + recognition | vocence-plugins |
Same voc_live_… key for both. They don't overlap.
pip install vocence-plugins
from vocence_plugins import VocenceTTS, VocenceSTT
tts = VocenceTTS(voice="design-aria", language="English")
stt = VocenceSTT(language="English")
# In your pipeline loop:
async for frame in capture_mic_at_16k_mono_pcm16le():
await stt.process_audio(frame) # mic in → transcripts via callback
await tts.synthesize("Hello from your own pipeline!") # text in → 24 kHz PCM out
await tts.interrupt() # cancel on user barge-in
Full worked example with the transcript callback and barge-in handling is in
the vocence-plugins README.
CLI
$ vocence login # opens a browser → approve → key saved
$ vocence account # show plan, credits remaining, key count
$ vocence usage # last 20 API requests
$ vocence keys list / create / revoke
$ vocence agents list / show / create / delete
# voices
$ vocence voices # list built-in speakers
$ vocence speak "Hello" --voice design-aria -o out.wav
$ vocence clone path/to/clip.wav --name "My Voice"
$ vocence design "warm female narrator" # interactive design + save
# audio
$ vocence transcribe clip.wav --language English
$ vocence chat <agent-id> # text REPL, plays the reply
$ vocence voice <agent-id> # push-to-talk mic REPL (needs vocence[audio])
Config is written to ~/.vocence/config.json. Override the key with the
VOCENCE_API_KEY environment variable on any command.
Errors
from vocence import Vocence, errors
client = Vocence(api_key="voc_live_invalid")
try:
client.tts.speak(text="x", voice="design-aria")
except errors.AuthenticationError as e:
print("bad key:", e)
except errors.InsufficientCreditsError as e:
print("top up:", e)
except errors.RateLimitError as e:
print("slow down, retry after:", e.retry_after)
API parity
The SDK covers 100% of the public REST + WS surface documented at vocence.ai/docs/api. See CHANGELOG.md for what shipped in each release.
License
Apache 2.0 — see the repo-root LICENSE.
Metadata
Release files for vocence 0.7.2
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| vocence-0.7.2-py3-none-any.whl | Python 3 | none | any | Details for vocence-0.7.2-py3-none-any.whl |
Total release size: 155.1 kB
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