Skip to main content

Control flow framework for running of state graphs

Project description

cflw

A langgraph alternative (with respect to some functionality)

Advantages:

  • lean implementation
  • customization towards production, with useful features
  • multi-developer scenarios taken into account

Code sketch:

graph = StateGraph()
graph.add_node(AllNodes.node1)
graph.add_node(AllNodes.node2)
graph.add_edge(AllNodes.node1, AllNodes.node2)
state = CfState()
ctx = CfCtx()
rr = GraphRunner().run(graph, state, ctx)

This is a stub.

License

This package is a stub. A license is not determined yet; in so far all rights remain reserved.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cflw-0.3.1-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file cflw-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: cflw-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for cflw-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0e2da4701183add4e9c8f5eea386b9b748a8109ec01683fd4e015cff604994ff
MD5 6eac7d2c6be3b87a18f782fb4833b506
BLAKE2b-256 10f98839893fff3eec5a33a36510e7dfec66aad08da0d2b75a38d90de16ee7fd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page