LLM-agnostic prompt management — YAML-based storage, typed loading, and a fluent builder API.
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promptframe
LLM-agnostic prompt management — YAML storage, typed loading, structured output support, and a fluent builder API.
This package is under active development. Full release coming soon.
What it will do
- Store and version prompts as structured YAML files
- Load prompts as typed Python objects with attribute access
- Decouple LLM field instructions from Pydantic models via
model_attribute_id - Compose prompts from components using a fluent builder API
- Support markdown skill files (
SKILL.md) as reusable instruction documents - Ships with a Streamlit UI for browsing, playground, and building prompts visually
Status
0.1.0 is a name reservation. Watch this repo for the first real release.
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