A flexible system prompt creator with version control and validation
Project description
PromptEngine
A flexible and powerful system prompt creator with built-in version control and validation capabilities. Perfect for managing AI prompts across multiple applications.
Features
- Template System: Use Jinja2 templates with variable substitution
- Version Control: Track changes, view diffs, and rollback to previous versions
- Validation & Testing: Validate prompts and test outputs
- Easy Integration: Simple SDK that can be integrated into any Python application
- Storage Formats: Support for JSON and YAML
- Metadata Management: Track creation time, authors, tags, and more
Installation
pip install -e .
For development:
pip install -e ".[dev]"
Quick Start
from promptengine import PromptTemplate, PromptRegistry, VersionControl
# Create a prompt template
template = PromptTemplate(
name="code_reviewer",
template="""You are a {{expertise_level}} code reviewer.
Review the following {{language}} code and provide feedback on:
- Code quality
- Best practices
- Potential bugs
Code:
{{code}}
""",
variables=["expertise_level", "language", "code"]
)
# Render with variables
prompt = template.render(
expertise_level="senior",
language="Python",
code="def hello(): print('world')"
)
# Use version control
vc = VersionControl()
version_id = vc.save_version(prompt)
# Create a registry
registry = PromptRegistry()
registry.add(template)
registry.save("prompts.json")
Documentation
See the examples/ directory for more usage examples.
License
MIT
Project details
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