anva — Python SDK

Install with pip install "anva[ws]==0.5.0". 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; lipsync() and connect_lipsync() reach the Enterprise Lipsync API.

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.