lfx-azure
Azure OpenAI components and Azure AI Foundry runtime support as a standalone Langflow Extension Bundle.
Install
pip install lfx-azure
pip install langflow includes this bundle because Azure AI Foundry is a
supported model provider. The bundle is registered automatically through the
langflow.extensions entry point and appears under the azure group with
canonical component IDs such as
ext:azure:AzureChatOpenAIComponent@official.
Develop
uv sync
uv run pytest src/bundles/azure/tests -q
uv run lfx extension validate src/bundles/azure/src/lfx_azure
The bundle graduated from the manifest-less lfx-bundles[azure] provider in
Langflow 1.12. Its bundle and class names are unchanged, so existing saved
flows retain their canonical IDs.
1 maintainer
Metadata
1 maintainer
Release files for lfx-azure 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lfx_azure-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / lfx_azure-0.2.1-py3-none-any.whl
| Download URL | lfx_azure-0.2.1-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
41189c97179e87825ebb994ed1a7161efc98905323d2c1c0cdb99f7ee43df16e
|
|
BLAKE2b-256 checksum How to use checksums |
e0be284223e8359c96389b2acfec2d0ecf1ccd3cdb7e7fe9a3638c79f7ae217f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for lfx-azure 0.2.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
