Promptia
Promptia is a Python library designed to streamline the management and generation of prompts for Large Language Models (LLMs).
Features
- Manage prompt templates for various LLMs and APIs
- Convert abstract templates to specific API formats
- Support for function calling with detailed configurations
- Version control for templates
- Dynamic information embedding using Retrieval-Augmented Generation (RAG)
- Modular design for flexibility and extensibility
Installation
pip install promptia[openai]
Quick Start
from promptia import Promptia
from promptia import PromptTemplate
from promptia import Message
from promptia.llm.openai import OpenAIGPT4oMini
template = PromptTemplate(
name='greeting',
description='greeting template',
system="Your name is {{name}}. You have wandered into {{place}}. Please act.",
messages=[
Message(role='user', content='Who are you?'),
],
parameters={
'name': 'string',
'place': 'string'
},
function_calling_config=None
)
tia = Promptia()
prompt = tia.build(template, {"name": "Alice", "place": "Wonderland"})
llm = OpenAIGPT4oMini()
result = llm.call_llm(prompt)
print(result)
Contributing
We welcome contributions! Please see our Contributing Guidelines for more details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Metadata
Release files for promptia 0.5.1
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 | Actions |
|---|---|---|---|---|
| promptia-0.5.1.tar.gz | 8.2 kB | Without provenance | Details for promptia-0.5.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| promptia-0.5.1-py3-none-any.whl | Python 3 | none | any | Details for promptia-0.5.1-py3-none-any.whl |
Total release size: 21.5 kB
Release files / promptia-0.5.1.tar.gz
| Download URL | promptia-0.5.1.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3e0d9509e10896e5b6e01f28acd25e7b04ee3ff3e926084ab067fc09c86b7f26
|
|
BLAKE2b-256 checksum How to use checksums |
20cdac24410d5afd9ead6721532ccdfe5057978de0644543256d0b15b4ac6646
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.10.12 Linux/5.15.136-tegra
|
Release files / promptia-0.5.1-py3-none-any.whl
| Download URL | promptia-0.5.1-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
054fbfaa272f4b6bd6ea7a75feb304f4f06911963bc6f90b1bfa6cc0bcf6fe17
|
|
BLAKE2b-256 checksum How to use checksums |
753a014bf5e3baad533ccac78d9270a35844907a3f79347b6a2f935b8539cb2a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.10.12 Linux/5.15.136-tegra
|
Security for promptia 0.5.1
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.