skillfed

pipecat-ai-flows

Conversation Flow management for Pipecat AI applications

pipecat-ai-flows v1.4.0 142.9K downloads/30d#11,199 on PyPI622
Permissive license BSD 2-Clause License Abandoned released

What it is and what it does

Pipecat Flows provides conversation flow and state machine management for building AI applications with Pipecat. It lets you define multi-step dialogue logic, route between conversation states, and orchestrate LLM interactions in a structured way. The package depends on pipecat-ai, loguru, and docstring_parser.

However, this package is now deprecated and frozen. As of pipecat-ai 1.5.0, Pipecat Flows has been merged into the core pipecat-ai package under the pipecat.flows namespace. The standalone pipecat-ai-flows package will receive no further updates. Existing users should migrate by installing pipecat-ai and updating imports from pipecat_flows to pipecat.flows; the API remains the same.

Use it for:

  • Building multi-turn conversation systems where dialogue must branch based on user input or LLM decisions.
  • Implementing state machines for complex AI agent workflows that need to track context and manage transitions.
  • Orchestrating conversation flows in existing Pipecat applications that haven't yet migrated to pipecat-ai 1.5.0+.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Manages conversation flows and state machines for Pipecat AI applications, but this package is deprecated—Pipecat Flows is now integrated into pipecat-ai 1.5.0+ under the pipecat.flows namespace.

No. This package is deprecated and archived. Install pipecat-ai 1.5.0+ instead, which includes Pipecat Flows under pipecat.flows with the same API. If you are maintaining legacy code using pipecat-ai-flows 1.4.0, plan a migration to the integrated version; do not start new projects with this package.

Install

pipecat-ai-flows on PyPI

pip

pip install pipecat-ai-flows

uv

uv add pipecat-ai-flows

poetry

poetry add pipecat-ai-flows

Installing pipecat-ai-flows

Before you install

Low install friction, but maintenance is abandoned: the repository is archived and the package is frozen. The last release was 40 days ago. All active development has moved into pipecat-ai itself, making this package a legacy artifact.

License in practice

BSD 2-Clause License (permissive) poses no restriction on use or redistribution, but the abandoned status means no future license updates or clarifications will arrive.

Quickstart

# Deprecated: use pipecat-ai 1.5.0+ instead
pip install pipecat-ai

from pipecat.flows import FlowManager, NodeConfig
flow = FlowManager()

Requires Python 3.11 or later. This package is deprecated; new code should use pipecat.flows from pipecat-ai 1.5.0+ instead.

Verify before relying

  • Whether existing code using pipecat-ai-flows 1.4.0 will continue to work without updates or if pipecat-ai 1.5.0+ introduces breaking changes.
  • Whether the pipecat.flows API in pipecat-ai 1.5.0+ is truly identical or if subtle behavioral differences exist.

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 3 — pipecat-ai, loguru, docstring_parser
Maintenance abandoned — 40 days since the last release
Last repo commit (repository archived)
First released
Downloads 142,853/month — #11,199 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: pipecat_ai_flows-1.4.0-py3-none-any.whl

Keywords: pipecat, conversation, flows, state machine, ai, llm

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseTopic :: Communications :: ConferencingTopic :: Multimedia :: Sound/AudioTopic :: Scientific/Engineering :: Artificial Intelligence

Tags

conversation flow managementstate machine for aipipecat flowsllm conversation routingai dialogue orchestration
deprecatedarchivedstate-machine

More Artificial Intelligence packages

Further reading