AlbanPerli/Noema-Declarative-AI
A declarative way to control LLMs.
This tool helps developers control large language models (LLMs) to perform specific tasks. You provide the LLM with a task and a defined thought process (like a sequence of reflections and evaluations), and the tool guides the LLM to generate structured outputs based on those steps. It's for developers who want to use LLMs as 'thought interpreters' within their Python applications, rather than just as freeform text generators.
Use this if you are a Python developer building applications that require LLMs to follow a precise, multi-step reasoning process and produce constrained, structured outputs.
Not ideal if you need a simple API for basic text generation or if you are not comfortable writing Python code to define LLM workflows.
Stars
80
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/AlbanPerli/Noema-Declarative-AI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
InfinitiBit/graphbit
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a...
autogluon/autogluon-assistant
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
pguso/agents-from-scratch
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no...
samholt/L2MAC
🚀 The LLM Automatic Computer Framework: L2MAC
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of...