llm_prompt_builders

A composable prompt-engineering toolkit:

• prompts/ – production-ready templates
• roles/ – system instruction fragments
• contexts/ – reusable background or few-shot examples
• templates/ – granular snippet templates
• accelerators/ – orchestration functions (chain, parallel, retry)
• evaluators/ – output validation utilities
• pipelines/ – end-to-end workflow constructs
• connectors/ – LLM provider adapters
• schemas/ – Pydantic models for structured outputs
• config/ – default settings and presets
• utils/ – helper functions

Installation

pip install llm_prompt_builders

Quick Start

from llm_prompt_builders.roles.generic import get_scientific_editor
from llm_prompt_builders.contexts.research import get_research_context
from llm_prompt_builders.templates.question_template import create_question_prompt
from llm_prompt_builders.accelerators.chain import chain

role = get_scientific_editor()
context = get_research_context()
template = create_question_prompt("What are the study limitations?")
prompt = chain([role, context, template])
print(prompt)