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Pipecat Cloud is a managed platform for deploying and scaling Pipecat agents in production. It handles infrastructure, scaling, and operations so you can focus on building your agent.

Key Capabilities

  • One-command deploy: Package and deploy agents with pipecat cloud deploy
  • Auto-scaling: Scale from zero to thousands of concurrent sessions
  • Built-in WebRTC: Daily WebRTC transport included, no separate infrastructure needed
  • Secrets management: Securely store and inject API keys and credentials
  • Session management: Start, stop, and monitor agent sessions via REST API or SDK
  • Logging & monitoring: Built-in logging with Datadog integration support
  • Global regions: Deploy close to your users for lowest latency

How It Works

1

Build your agent

Write a Pipecat pipeline as you normally would, using any supported services.
2

Deploy

Use the CLI to build and deploy your agent image to Pipecat Cloud.
3

Start sessions

Use the REST API or Python SDK to start agent sessions on demand.

Next Steps

Get Started

Set up your account and deploy your first agent.

Fundamentals

Learn about accounts, agent images, secrets, and scaling.