ppc64le/linux/: stepflow-orchestrator-0.13.0 metadata and description

Stepflow orchestrator binary distribution - launch Stepflow server as a subprocess

author	DataStax Inc.
classifiers	Development Status :: 4 - Beta Intended Audience :: Developers License :: OSI Approved :: Apache Software License Operating System :: OS Independent Programming Language :: Python :: 3 Programming Language :: Python :: 3.10 Programming Language :: Python :: 3.11 Programming Language :: Python :: 3.12 Programming Language :: Python :: 3.13 Topic :: Software Development :: Libraries :: Python Modules Topic :: System :: Distributed Computing Typing :: Typed Environment :: MetaData :: IBM Python Ecosystem
description_content_type	text/markdown
keywords	ai,automation,orchestration,stepflow,workflow
license	Apache-2.0
maintainer	DataStax Inc.
metadata_version	2.4
project_urls	Homepage, https://stepflow-ai.github.io/stepflow/ Documentation, https://stepflow-ai.github.io/stepflow/ Repository, https://github.com/stepflow-ai/stepflow Bug Tracker, https://github.com/stepflow-ai/stepflow/issues Source Code, https://github.com/stepflow-ai/stepflow/tree/main/sdks/python/stepflow-orchestrator Changelog, https://github.com/stepflow-ai/stepflow/blob/main/stepflow-rs/CHANGELOG.md
requires_dist	msgspec>=0.19.0
requires_python	>=3.10

File	Tox results	History
stepflow_orchestrator-0.13.0-py3-none-any.whl Size 8 KB Type Python Wheel Python 3		Replaced 1 time(s) Uploaded to ppc64le/linux by ppc64le 2026-08-20 10:39:18

stepflow-orchestrator

Platform-specific Python wheels bundling the stepflow-server binary for local orchestration.

Installation

pip install stepflow-orchestrator

Usage

from stepflow_orchestrator import StepflowOrchestrator, OrchestratorConfig

# Start with default config (auto-assigned port)
async with StepflowOrchestrator.start() as orchestrator:
    print(f"Server running at {orchestrator.url}")
    # Use orchestrator.url with your preferred HTTP client

# Start with custom config
config = OrchestratorConfig(
    port=8080,
    log_level="debug",
    config={"plugins": {"builtin": {"type": "builtin"}}}
)
async with StepflowOrchestrator.start(config) as orchestrator:
    # orchestrator.url - server URL (e.g., "http://127.0.0.1:8080")
    # orchestrator.port - bound port number
    # orchestrator.is_running - check if process is alive
    pass

With stepflow-py Client

For a convenient combined experience, use stepflow-py[local]:

pip install stepflow-py[local]

from stepflow_py import StepflowClient
from stepflow_py.config import StepflowConfig

config = StepflowConfig(plugins={...}, routes={...})
async with StepflowClient.local(config) as client:
    # Client owns the orchestrator - both shut down on exit
    response = await client.store_flow(workflow)
    result = await client.run(response.flow_id, input_data)

Development Mode

Set STEPFLOW_DEV_BINARY to use a local development build:

export STEPFLOW_DEV_BINARY=/path/to/stepflow-server

Changelog

This package bundles the Stepflow server binary. For release notes and changelog, see the main Stepflow Changelog.

devpi