frootai 4.1.0

FrootAI SDK — 100 solution plays, 830+ primitives, 25 MCP tools. Offline access to knowledge modules, solution plays, cost estimation, evaluation, and A/B testing.

FrootAI

_{Python SDK}

From the Roots to the Fruits. It's simply Frootful.

An open ecosystem where Infra, Platform, and App teams build AI — Frootfully.

An open glue for the GenAI ecosystem, enabling deterministic and reliable AI solutions.

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The Philosophy Behind FrootAI — The Essence of the FAI Engine

FrootAI is an intelligent way of packaging skills, knowledge, and the essential components of the GenAI ecosystem — all synced, not standalone. Infrastructure, platform, and application layers are woven together so that every piece understands and builds on the others. That's what "from the roots to the fruits" means: a fully connected ecosystem where Infra, Platform, and App teams build AI — Frootfully.

The FROOT Framework

FROOT = Foundations · Reasoning · Orchestration · Operations · Transformation

Layer	What You Learn
F	Tokens, models, glossary, Agentic OS
R	Prompts, RAG, grounding, deterministic AI
O	Semantic Kernel, agents, MCP, tools
O	Azure AI Foundry, GPU infra, Copilot ecosystem
T	Fine-tuning, responsible AI, production patterns

The FAI Ecosystem

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Install

pip install frootai

Quick Start

from frootai import FrootAI, SolutionPlay, Evaluator

client = FrootAI()

# Search knowledge
results = client.search("RAG architecture")

# Get a module
module = client.get_module("R2")  # RAG Architecture

# Browse solution plays
plays = SolutionPlay.all()

# Estimate Azure costs
cost = client.estimate_cost("01-enterprise-rag", scale="prod")

# Run evaluation
evaluator = Evaluator()
scores = {"groundedness": 4.5, "relevance": 3.8}
results = evaluator.check_thresholds(scores)

CLI

frootai plays                    # List solution plays
frootai search "embeddings"      # Search knowledge
frootai modules                  # List FROOT modules
frootai glossary temperature     # Look up a term
frootai cost 01-enterprise-rag   # Azure cost estimate

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Features

• Knowledge Search full-text search across all FROOT modules, offline
• Solution Plays browse and filter pre-tuned deployable solutions
• AI Glossary comprehensive AI/ML term definitions
• Cost Estimation Azure cost estimates per solution play and scale
• Evaluation Framework quality scoring with configurable thresholds
• A/B Testing prompt experiments with real model callbacks
• Zero Dependencies pure Python stdlib, works anywhere

The FrootAI ecosystem is growing. New modules, plays, and capabilities with every release.

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Links

Resource	Link
Website	frootai.dev
Setup Guide	FAI Packages Setup
Python MCP Server	PyPI — frootai-mcp
Node MCP Server	npm — frootai-mcp
VS Code Extension	Marketplace
Docker Image	GitHub Container Registry
GitHub	frootai/frootai
Contact	[e-mail]

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© 2026 FrootAI — MIT License

_{AI architecture · Python · SDK · Azure · RAG · agents · copilot · evaluation · cost-estimation · offline-first · zero-dependencies · open-source · frootai}