Skip to main content

Qwen Omni plugin for vision agents

Project description

Qwen Realtime Plugin for Vision Agents

Qwen3 Realtime LLM integration for Vision Agents framework with native audio output and built-in speech recognition using WebSocket-based realtime communication.

Features

  • Native audio output: No TTS service needed - audio comes directly from the model
  • Built-in STT: Integrated speech-to-text using gummy-realtime-v1 - no external STT service required
  • Server-side VAD: Automatic turn detection with configurable silence thresholds
  • Video understanding: Optional video frame support for multimodal interactions
  • Real-time streaming: WebSocket-based bidirectional communication for low-latency responses
  • Interruption handling: Automatic cancellation when user starts speaking

Installation

uv add vision-agents[qwen]

Usage

from vision_agents.core import User, Agent
from vision_agents.plugins import getstream, qwen

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Qwen Assistant"),
    instructions="Be helpful and friendly",
    llm=qwen.Realtime(
        model="qwen3-omni-flash-realtime",
        voice="Cherry",
        fps=1,
    ),
    # No STT or TTS needed - Qwen Realtime provides both
)

Configuration

Parameter Description Default Accepted Values
model Qwen Realtime model identifier "qwen3-omni-flash-realtime" Model name string
api_key DashScope API key None (from env) String or None
base_url WebSocket API base URL "wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime" URL string
voice Voice for audio output "Cherry" Voice name string
fps Video frames per second 1 Integer
include_video Include video frames in requests False Boolean
video_width Video frame width 1280 Integer
video_height Video frame height 720 Integer

Environment Variables

Set DASHSCOPE_API_KEY in your environment or .env file:

DASHSCOPE_API_KEY=your_dashscope_api_key_here

Example

See plugins/qwen/example/qwen_realtime_example.py for a complete working example.

Dependencies

  • vision-agents
  • websockets
  • aiortc
  • av

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vision_agents_plugins_qwen-0.2.5.tar.gz (8.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vision_agents_plugins_qwen-0.2.5-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file vision_agents_plugins_qwen-0.2.5.tar.gz.

File metadata

File hashes

Hashes for vision_agents_plugins_qwen-0.2.5.tar.gz
Algorithm Hash digest
SHA256 348b0b91f90d35774403801b39bc40f4a0e1ee651926518a66e470723ac25ada
MD5 32a52aebd3015f97f52f40b8271cbf49
BLAKE2b-256 e20bb302a72b9936605cd75bc9e1d1fdf76709bb54f3f8d8a0c9452b89b1d64e

See more details on using hashes here.

File details

Details for the file vision_agents_plugins_qwen-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for vision_agents_plugins_qwen-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 54d89cdaaf2af84e6c70653619e38408c3c71f6d7ebdd008cbcabab4cd207ab2
MD5 12c263b5ac4e6ee5a229b660a0875be7
BLAKE2b-256 af3df7dc85f185419313ed1b21dc8685e5595cfbfe79d4535bdfd048d6957d08

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page