
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.