Skip to main content

render-langgraph

A zero-config CLI that renders a LangGraph graph in the browser -- visualize the nodes and edges of any compiled LangGraph graph without Docker, without running LangGraph Studio, and without executing your agent.

pip install render-langgraph
cd my-agent-project
render-langgraph          # opens browser, graph rendered

What it does

render-langgraph finds your compiled graph (via langgraph.json, an AST scan, or an explicit path/to/file.py:attr), spawns your project's own Python interpreter to call get_graph(xray=True) on it, and renders the result with React Flow + elkjs. No Docker, no execution beyond importing your module, no state inspection -- it reads the graph structure once and shows it to you.

Usage

render-langgraph                          # auto-discover
render-langgraph src/agent/graph.py:graph # explicit target
render-langgraph --graph my_graph         # pick an entry from langgraph.json
render-langgraph --static path.py         # AST-only, never imports
render-langgraph --json                   # print graph JSON, no server

Status

v0.1 walking skeleton: runtime extraction, discovery cascade, static AST fallback, and a served React Flow viewer with live reload on save.

License

MIT

Download files

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

Source Distribution

render_langgraph-0.1.4.tar.gz (593.5 kB view details)

Uploaded Source

Built Distribution

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

render_langgraph-0.1.4-py3-none-any.whl (602.2 kB view details)

Uploaded Python 3

File details

Details for the file render_langgraph-0.1.4.tar.gz.

File metadata

  • Download URL: render_langgraph-0.1.4.tar.gz
  • Upload date:
  • Size: 593.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.5

File hashes

Hashes for render_langgraph-0.1.4.tar.gz
Algorithm Hash digest
SHA256 f0ce96e72fbb8b4786c6913feb82a91bf74c32d7497c35297b50819a65a4ae55
MD5 265c59fad71d4f09b2a365bf91fc42ad
BLAKE2b-256 da0fb9de13dfedb9fa83d22b91335e86abfb4caf616e424ab521c93589153649

See more details on using hashes here.

File details

Details for the file render_langgraph-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for render_langgraph-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 8411f949fcc11867d8cec9f867c7efe2d94addb5de9b4055f085b80cf5e0d5cb
MD5 921631d44bbeb728a8e4d42d17e508b0
BLAKE2b-256 77de6892a7379c3d8525ca572638c1d0b4e7b5746a2b749037639b447fbd8bbd

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.4 This release

2 files

0.1.2

2 files

0.1.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page