Prompt flow devkit
Welcome to join us to make prompt flow better by participating discussions, opening issues, submitting PRs.
Introduction
The promptflow-devkit is a subpackage of promptflow. It contains features like :
- Create and iteratively develop flow
- Debug and iterate your flows, especially the interaction with LLMs with ease.
- Provide Tracing collector and UI to help user achieve comprehensive observability of their LLM applications.
- Evaluate flow quality and performance
- Evaluate your flow's quality and performance with larger datasets.
- Integrate the testing and evaluation into your CI/CD system to ensure quality of your flow.
- Streamlined development cycle for production
- Deploy your flow to the serving platform you choose or integrate into your app's code base easily.
NOTE:
- For users seeking a minimal dependency to execute a flow in serving or cloud run scenarios, consider installing the
promptflow-corepackage. This package equips you with the fundamental features necessary for executing aflowin prompt flow. - For users need to leverage the cloud version of prompt flow in Azure AI, please install the
promptflow-azurepackage.
ChangeLog
Reach the full change log here.
1 maintainer
Metadata
1 maintainer
Release files for promptflow-devkit 1.18.5
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 | Actions Reset |
|---|---|---|---|---|
| promptflow_devkit-1.18.5-py3-none-any.whl | Python 3 | none | any | Details for promptflow_devkit-1.18.5-py3-none-any.whl |
Release files / promptflow_devkit-1.18.5-py3-none-any.whl
| Download URL | promptflow_devkit-1.18.5-py3-none-any.whl |
|---|---|
| Size | 7.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f12a2baac5953556de5969fb29e244ea54359f9b8a9aea5e01550e47d22b49fe
|
|
BLAKE2b-256 checksum How to use checksums |
bb9f7219c09ef4e33da5d3ae2292f7b0ce884206d602a2533639b46b3f6facaf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Security for promptflow-devkit 1.18.5
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
