Deepgram SageMaker Transport

SageMaker transport for the Deepgram Python SDK. Uses AWS SageMaker's HTTP/2 bidirectional streaming API as an alternative to WebSocket, allowing transparent switching between Deepgram Cloud and Deepgram on SageMaker.

Requires Python 3.12+ (due to AWS SDK dependencies).

Installation

pip install deepgram-sagemaker

This installs aws-sdk-sagemaker-runtime-http2 and boto3 automatically.

Usage

The SageMaker transport is async-only and must be used with AsyncDeepgramClient:

import asyncio
from deepgram import AsyncDeepgramClient
from deepgram.core.events import EventType
from deepgram_sagemaker import SageMakerTransportFactory

factory = SageMakerTransportFactory(
    endpoint_name="my-deepgram-endpoint",
    region="us-west-2",
)

# SageMaker uses AWS credentials (not Deepgram API keys)
client = AsyncDeepgramClient(api_key="unused", transport_factory=factory)

async def main():
    async with client.listen.v1.connect(model="nova-3") as connection:
        connection.on(EventType.MESSAGE, lambda msg: print(msg))
        await connection.start_listening()

asyncio.run(main())

AWS Credentials

The transport resolves AWS credentials using boto3's credential chain:

• Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
• Shared credentials file (~/.aws/credentials)
• IAM role (EC2, ECS, Lambda)

Links

• Deepgram Python SDK
• SageMaker example
• Deepgram documentation