pipecatcloud
Cloud hosting for Pipecat AI applications
Decision gist · record as of 2026-08-14
Yes, if you are building or deploying Pipecat AI agents and want a Python-native way to manage them on Pipecat Cloud. The package is actively maintained, has low install friction, and is permissively licensed. Requires Python 3.11+, an active Pipecat Cloud account, and Docker for building agents. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11+.
- Requires an active Pipecat Cloud account and API key.
- Docker is needed to build and deploy agents via CLI.
License · maintenance · safety
BSD 2-Clause License (permissive) — BSD 2-Clause License is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-08-05 (9 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 85,684 downloads/mo, #13,906 on PyPI
Alternatives
Verify before relying
pip install pipecatcloud
from pipecatcloud.session import Session
import asyncio
async def main():
session = Session(agent_name="my-agent", api_key="pk_...")
await session.start()
asyncio.run(main())- Whether the package supports programmatic agent lifecycle management beyond start (e.g., stop, status, logs).
- Whether secrets management is available through the Python API or only via CLI.
- Performance characteristics and rate limits when managing multiple agents concurrently.
What it is and what it does
Pipecatcloud is a Python SDK and CLI for interacting with Pipecat Cloud, a managed hosting platform for Pipecat AI agents. It provides both command-line tools (installed via the Pipecat CLI) and a programmatic Python API for deploying, authenticating, and controlling voice and AI agents in the cloud.
The package wraps Pipecat Cloud's REST API and handles authentication, session management, and agent lifecycle operations. It depends on aiohttp, fastapi, uvicorn, and other async-capable libraries to support concurrent agent management. Typical workflows include logging in, managing secrets, deploying agents via Docker, and programmatically starting agents from Python scripts using the Session class.
Use it for
- Deploy a voice AI agent to Pipecat Cloud and manage its lifecycle from a Python application.
- Authenticate with Pipecat Cloud and generate API credentials for agent deployment.
- Build a multi-agent orchestration system that starts and monitors Pipecat agents programmatically.
- Integrate Pipecat agent deployment into a CI/CD pipeline using the CLI.
- Troubleshoot agent startup failures and SSL certificate issues on local development machines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or deploying Pipecat AI agents and want a Python-native way to manage them on Pipecat Cloud.
The package is actively maintained, has low install friction, and is permissively licensed. Requires Python 3.11+, an active Pipecat Cloud account, and Docker for building agents. No known security vulnerabilities.
Install
pipecatcloud on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance status (released 2026-08-05, 9 days old). Requires Python 3.11+ and a Pipecat Cloud account; Docker is needed for building agents but not for the Python package itself.
Requires Python 3.11+. Requires an active Pipecat Cloud account and API key. Docker is needed to build and deploy agents via CLI.
License in practice
BSD 2-Clause License is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install pipecatcloud
from pipecatcloud.session import Session
import asyncio
async def main():
session = Session(agent_name="my-agent", api_key="pk_...")
await session.start()
asyncio.run(main())Verify before relying
- Whether the package supports programmatic agent lifecycle management beyond start (e.g., stop, status, logs).
- Whether secrets management is available through the Python API or only via CLI.
- Performance characteristics and rate limits when managing multiple agents concurrently.
Package facts
| License | BSD 2-Clause License permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesaiohttpfastapilogurupython-dotenvuvicorntypersynchronicitytomlquestionary |
| Maintenance | Actively maintained 9 days since the last release |
| First released | |
| Downloads | 85,684 / month, #13,906 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pipecatcloud-1.1.0-py3-none-any.whl
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See also pipecat-ai · pipecat-ai-flows · pipecat-ai-whisker · pipecat-ai-prebuilt · daily-python · fastapi-cloud-cli · google-agents-cli · bedrock-agentcore · crewai-cli · azure-ai-agentserver-agentframework