
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
Install the CLI
Install the Pipecat CLI with the Pipecat Cloud plugin:
3
Deploy
Use the CLI to build and deploy your agent image to Pipecat Cloud.
4
Start sessions
Use the REST API or Python SDK to start agent sessions on demand.
Next Steps
Create your account
Get your account set up and ready to deploy your first agent.
Deploy your first agent
Deploy the quickstart agent to Pipecat Cloud.