ec3aea7ff8
* fix(extensions): discover editable installs via langflow.extensions entry-point
`lfx extension list` was silently dropping bundles installed via `uv pip
install -e` / `pip install -e`. Editable installs surface only
`dist-info/` entries in `dist.files`, so the wheel-shaped scan in
`_distribution_manifest_path` finds no `extension.json`. The bundle
pyproject.toml comment already promised an entry-point fallback for this
case, but it was never implemented in discovery.py.
Add `_distribution_manifest_path_via_entry_points` that resolves the
package via `importlib.util.find_spec` (no module body execution) and
locates the manifest under the resulting package directory. The fallback
runs only when `dist.files` produces no manifest, so wheel installs are
unaffected.
Tests:
- editable distribution with dist-info-only files is discovered
- entry-point pointing at an unimportable module yields no record
- wheel-install path never consults find_spec (guards against
re-importing every bundle package on startup)
* chore(extensions): drop internal ticket refs; relax reload --bundle and --all
Two related changes:
1. Strip internal `LE-NNNN` ticket references from the extension source,
bundles, tests, and public docs. The references were not actionable
outside the project and surfaced in user-visible CLI messages and the
author guide.
2. Relax `lfx extension reload` CLI ergonomics now that local discovery
(`discover_all_extensions`) gives us the install map without needing
an HTTP list endpoint:
- `lfx extension reload <ext_id>`: `--bundle` is now optional; when
omitted, the bundle name is resolved from local discovery. Explicit
`--bundle` still wins for cases where the local install isn't
visible to the running server.
- `lfx extension reload --all`: iterates over every locally-discovered
bundle, POSTs reload to each, renders per-bundle status, and exits 1
if any reload fails. Previously hard-errored as "not yet wired".
- `--all` is mutually exclusive with a positional id / `--bundle`
(exit 2 with a clear message).
- Missing both `extension_id` and `--all` exits 2 pointing at both.
Updated `test_reload_requires_explicit_bundle` (which enforced the old
"--bundle is mandatory" behavior) to cover the new resolution paths.
* docs(bundle-api): changelog entries for editable-install discovery + reload CLI
Satisfies the BUNDLE_API surface-change gate for the editable-install
discovery fallback (entry-point lookup in discovery.py) and the relaxed
`lfx extension reload` CLI (`--bundle` optional, `--all` implemented).
No additional behavior change in this commit -- it only documents the
two changes already shipped in this branch.
* [autofix.ci] apply automated fixes
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Debojit Kaushik <Kaushik.debojit@gmail.com>
Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
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Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
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That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
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docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
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