GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制
Good fit when
- When your application requires structured NLP outputs with clear schemas defined using Pydantic
- If you need to version control over different prompts for repeatability in tasks such as Named Entity Recognition (NER), classification, and question-answering
Avoid when
- When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case
- If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process
- Requirements:
- Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub
Observed Jul 9, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (164d since push)
- As of Sep 7, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 7, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install PromptifyHow it fits your stack(8)
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Evidence and technical details
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Overview
Promptify is an NLP library that focuses on prompt engineering and versioning for LLMs like GPT-3, GPT-4. It provides a structured manner of retrieving output using Pydantic models.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 7, 2026
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Compatibility
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README
<div align="center" <img width="110px" src="https://raw.githubusercontent.com/promptslab/Promptify/main/assets/logo.png" <h1 Promptify</h1 </div <p align="center" <p align="center" Task based NLP engine with Pydantic structured outputs, built in evaluation, and LiteLLM as the uni...
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