About
promptxml is a tool designed to create prompt instructions for neural networks in XML format. This tool helps structure and manage complex prompts, making it easier to feed instructions to neural networks in a well-organized XML format.
Installation
To install promptxml, simply use pip:
pip install promptxml
Usage
Using PromptItem
from promptxml import PromptItem
# Create a new PromptItem
item = PromptItem(label="guideline", value="Do something once")
# Print the XML representation
print(item.to_xml())
Using PromptSection
from promptxml import PromptSection, PromptItem
# Create a new PromptSection
section = PromptSection(label="guidelines")
# Add items to the section
section.add(
PromptItem(label="guideline", value="Do something once"),
PromptItem(label="guideline", value="Do something twice")
)
# Print the XML representation
print(section.to_xml())
Nested PromptSection and PromptItem
from promptxml import PromptItem, PromptSection
# Create a new section with nested items and sections
section = PromptSection(label="guidelines")
section.add(
PromptItem(label="guideline", value="Do something once"),
PromptItem(label="guideline", value="Do something twice"),
PromptSection(
label="guideline",
items=[
PromptItem(label="instruction", value="This is a complex instruction with nested list."),
PromptSection(
label="some_items",
items=[
PromptItem(label="some_item", value="This is item 1"),
PromptItem(label="some_item", value="This is item 2"),
PromptItem(label="some_item", value="This is item 3"),
],
instruction="instructions can also be in attributes!, and it can contain some \"quotes\" and 'other quotes'",
second_attr="qwerty",
),
],
),
PromptSection(
label="guideline",
items=[
PromptItem(
label="instruction",
value="This is a second complex instruction with nested list built with build_multiple.",
),
PromptSection(
label="some_items",
items=PromptItem.build_multiple(
label="some_item",
values=[
"This is item 1",
"This is item 2",
"This is item 3",
],
),
),
],
),
)
# Print the XML representation and pretty-print it
print(section.to_xml())
print(section.make_pretty())
Troubleshooting
If you encounter any issues, please visit the issues section on GitHub to report a problem or seek assistance.
Contribution
Contributions are welcome. Please fork the repository, make your changes, and submit a pull request. For detailed contribution guidelines, please refer to the CONTRIBUTION.md file.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Metadata
Release files for promptxml 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| promptxml-0.1.1.tar.gz | 3.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| promptxml-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 kB
Release files / promptxml-0.1.1.tar.gz
| Download URL | promptxml-0.1.1.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
63e2bb8dc2d0070219bf57d0ceceda907e1be7b6cdba11abed03f2863f8364af
|
|
BLAKE2b-256 checksum How to use checksums |
e26b0d0c379e9a0c47a4230fa9eee4f32b6b9727bcc0bd0d7c7a76c40f6ad351
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.12.4 Linux/6.5.0-1023-azure
|
Release files / promptxml-0.1.1-py3-none-any.whl
| Download URL | promptxml-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66069c1eee9469f86b9f7bc71b4bdea2283d55ed454755b64cc7f162b4763639
|
|
BLAKE2b-256 checksum How to use checksums |
3f408db2688509a0d357219a11d44ad34953174c2875197f900cd8d411fda70a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.12.4 Linux/6.5.0-1023-azure
|
Security for promptxml 0.1.1
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.