AWS ML Blog
Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime â Part 1
âĸ1 min readâĸ
#deployment#bedrock#agenticworkflows#compute
Level:Intermediate
For:ML Engineers, Data Scientists, AI Product Managers
âĻTL;DR
This article series explores the deployment of voice agents using Pipecat on Amazon Bedrock AgentCore Runtime, focusing on streaming architectures to address challenges in voice agent deployment. Part 1 specifically delves into the deployment process using different network transport approaches, including a walkthrough of the setup and configuration.
⥠Key Takeaways
- Pipecat voice agents can be deployed on Amazon Bedrock AgentCore Runtime for efficient voice processing.
- The deployment process involves choosing appropriate network transport approaches to ensure reliable and fast communication.
- Streaming architectures play a crucial role in addressing the challenges associated with voice agent deployment, such as latency and data processing.
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