> ## Documentation Index
> Fetch the complete documentation index at: https://anam.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Python SDK

> Use Anam's real-time avatar streaming from Python applications

The Anam Python SDK provides real-time AI avatar streaming for Python applications. Receive synchronized audio and video frames, send text or audio input, and build custom integrations using async iterators or event-driven patterns.

<Info>
  Requires Python 3.10 or higher.
</Info>

## Features

* **Real-time audio/video streaming** -- receive synchronized audio (PCM) and video (RGB) frames as PyAV objects via WebRTC
* **Two-way communication** -- send text messages as the user and receive generated responses
* **Real-time transcriptions** -- receive incremental message stream events for user and persona text as it generates
* **Message history** -- automatic conversation history with incremental updates
* **Audio passthrough** -- send TTS-generated audio directly for face rendering (BYO TTS)
* **Direct text-to-speech** -- send text straight to TTS via `session.talk()`, bypassing the LLM
* **User audio input** -- send raw microphone audio to Anam for processing (STT, LLM, TTS, avatar)
* **Async iterator API** -- `async for frame in session.video_frames()`
* **Event-driven API** -- decorator-based handlers via `@client.on(AnamEvent.CONNECTION_ESTABLISHED)`
* **Fully typed** -- complete type hints for IDE support
* **Server-side ready** -- designed for server-side Python applications and backend pipelines