vision-agents-plugins-aws 0.1.7

AWS (Bedrock) LLM integration for Vision Agents

AWS Plugin for Vision Agents

AWS (Bedrock) LLM integration for Vision Agents framework with support for both standard and realtime interactions.

Installation

pip install vision-agents-plugins-aws

Usage

Standard LLM Usage

This example shows how to use qwen3 on bedrock for the LLM.

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Friendly AI"),
    instructions="Be nice to the user",
    llm=aws.LLM(model="qwen.qwen3-32b-v1:0"),
    tts=cartesia.TTS(),
    stt=deepgram.STT(),
    turn_detection=smart_turn.TurnDetection(buffer_duration=2.0, confidence_threshold=0.5),
)

The full example is available in example/aws_qwen_example.py

Realtime Text/Image Usage

Nova sonic audio realtime STS is also supported:

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Story Teller AI"),
    instructions="Tell a story suitable for a 7 year old about a dragon and a princess",
    llm=aws.Realtime(),
)

Running the examples

Create a .env file, or cp .env.example to .env and fill in

STREAM_API_KEY=your_stream_api_key_here
STREAM_API_SECRET=your_stream_api_secret_here

AWS_BEARER_TOKEN_BEDROCK=
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=

FAL_KEY=
CARTESIA_API_KEY=
DEEPGRAM_API_KEY=