anva — Python SDK

Install with pip install "anva[ws]==0.7.0". The REST client uses the standard library. Realtime uses websockets' sync API.

import os
from anva import Anva, AnvaError
client = Anva(os.environ["ANVA_KEY"])
capabilities = client.capabilities()
session = client.create_session(
    preset_id="YOUR_PRESET_ID", service_mode="byo_llm")
# Attach session["embed_url"] in your browser.
try:
    with client.connect(session["session_id"]) as stream:
        stream.wait_live()  # the viewer's embed is connected
        for event in stream:
            if event["type"] == "turn.request":
                turn_id = event["payload"]["turn_id"]
                # Replace the immediate sample with your cancellable LLM worker.
                stream.turn_delta(turn_id, "Hello from your application.")
                stream.turn_done(turn_id)
finally:
    client.end_session(session["session_id"])

Use one reader per connection; perform slow LLM work in a separate cancellable worker so it can react to turn.cancel. send_message is user input, not verbatim assistant speech. AnvaError includes status, code, message, and details. Realtime command failures remain structured events.

create_session(speech_input="off") suits hosts that transcribe the user themselves (push-to-talk); say / say_delta / say_done speak lines of your own (speed= sets a line's rate); update_session(id, system_prompt=...) and update_prompt on a connection change a managed session's instructions mid-call; create_session(..., idempotency_key=...) makes a retried create return the first session; connect(id, controls=False) leaves out the face stream; lipsync() and connect_lipsync() reach the Enterprise Lipsync API (up to eight jobs at once per account; a stream idle for 60 seconds is closed). say(..., queue=True) and say_delta(..., queue=True) on its first delta make a line wait behind the one being spoken instead of interrupting it.

Speech API (Enterprise): text to 24 kHz speech plus its mouth curves.

line = client.synthesize("Welcome back.", voice_id="elevenlabs:JBFqnCBsd6RMkjVDRZzb")
with open("line.wav", "wb") as f:
    f.write(line["audio"]["data"])          # decoded bytes
curves = line["curves"]                     # frame n is n / curves["fps"] seconds in
jaw = [row[curves["channels"].index("jawOpen")] for row in curves["frames"]]

with client.connect_speech(voice_id="elevenlabs:JBFqnCBsd6RMkjVDRZzb") as speech:
    speech.speak("line-1", "Hello there.")
    for msg in speech:
        if msg["type"] == "curves":
            queue_curves(msg["start"], msg["values"])   # arrive before their audio
        elif msg["type"] == "audio":
            play(msg["data"])                           # 24 kHz s16le mono bytes
        elif msg["type"] in ("done", "error"):
            break

One line is spoken at a time per stream (busy_line otherwise; cancel(id) stops one), and the server closes a stream that gets no command for 60 seconds while nothing is spoken.

All five service modes are supported as request values, subject to deployment capabilities. PCM methods accept bytes, bytearray or byte-oriented memoryview: 24kHz signed16 little-endian mono, maximum 24,000 bytes per chunk. Read the repository README for sample offsets, backpressure and real playback requirements.