AWS Machine Learning Blog1d ago|Products & ServicesTutorials & How-To

Deploy Voice Agents with Pipecat and Amazon Bedrock AgentCore Runtime

This article series teaches how to deploy Pipecat voice agents on Amazon Bedrock AgentCore Runtime using different network transport approaches like WebSockets, WebRTC, and telephony integration.

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Why it matters

This article series provides valuable insights and technical guidance for developers looking to build scalable and reliable voice agent solutions using AWS services.

Key Points

  • 1Deploying Pipecat voice agents on Amazon Bedrock AgentCore Runtime
  • 2Leveraging streaming architectures to address voice agent challenges
  • 3Exploring network transport options including WebSockets, WebRTC, and telephony
  • 4Providing practical deployment guidance and code samples

Details

This article is the first in a series that focuses on deploying Pipecat voice agents on the Amazon Bedrock AgentCore Runtime. Pipecat is a framework that helps build streaming architectures for voice agents, addressing challenges like scalability and reliability. The article will guide readers through deploying Pipecat voice agents on AgentCore Runtime using different network transport approaches, including WebSockets, WebRTC, and telephony integration. Practical deployment guidance and code samples will be provided to help readers implement these solutions.

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