FrootAI — AmpliFAI your AI Ecosystem Get Started

Complete Feature Specification

FAI Complete Feature Specification

Every feature, tool, command, module, and integration — documented in one place.

Version 5.0.1April 2026

1. Platform Overview

FrootAI is a full-stack AI solution platform that accelerates Azure AI development. Pre-tuned solution plays, developer tooling (MCP + VS Code), curated knowledge base, and infrastructure-as-code.

FeatureDescriptionStatusLink
Website178-page Next.js 16 site (dark theme, responsive, mobile-optimized, i18n, analytics)ShippedHome →
npm Package[email protected] — MCP toolsShippedMCP →
VS Code Extfrootai.frootai-vscode v2.1.0 — commands, sidebarShippedExt →
GitHub RepoPublic, MIT license, CI/CD, 4,400+ files, 861 primitivesShippedGitHub →
Python SDKfrootai v4.1.0 + frootai-mcp v4.0.0 — PyPI publishedShippedPython →
Dockerfrootai-mcp:4.0.0 — multi-arch (amd64 + arm64)ShippedPackages →
Azure IntegrationAI Foundry, Managed Identity, Bicep IaC, 100 main.bicep templatesShippedAdmin →
Knowledge Base682KB — knowledge modules across 5 FROOT layersShippedPackages →
Solution FrameworkSolution plays with DevKit + TuneKit + SpecKit + Bicep + eval.pyShippedPlays →
AI AssistantGPT-4.1 chatbot for play recommendation + cost estimationShippedChatbot →
MarketplacePlugins + community partner pluginsShippedMarket →
PrimitivesStandalone primitives: agents, instructions, skills, hooksShippedCatalog →

2. Solution Plays (100)

Each play ships with .github Agentic OS (19 files), DevKit, TuneKit, SpecKit, infra/main.bicep, evaluation/eval.py, and fai-manifest.json. Average 44 files and 4,132 lines per play.

FeatureDescriptionStatusLink
Plays 01–20Tier 1 — Enterprise RAG, Landing Zone, Voice AI, Multi-Agent, and 16 moreReadyBrowse →
Plays 21–68Tier 2 — Agentic RAG, Browser Automation, GraphRAG, and 45 moreReadyBrowse →
Plays 69–100Tier 3 — Agriculture AI, Telecom, Government, FAI Meta-Agent, and 28 moreReadyBrowse →
Quality Gates15/15 file types pass audit, eval.py with 13 quality checks, all agents 200+ linesVerifiedEval →

3. DevKit (.github Agentic OS)

19+ files per play, 4 layers: agents (builder/reviewer/tuner), instructions (4), prompts (4), skills (3). All 200+ lines.

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4. TuneKit (AI Configuration)

config/*.json (openai, model-comparison, agents, guardrails), infra/main.bicep, evaluation/eval.py with 13 quality checks.

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5. MCP Server (25 Tools)

6 static + 4 live + 3 chain + 7 AI ecosystem + 2 dev tools + 3 new browse/detail tools.

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6. VS Code Extension

Sidebar navigation, DevKit/TuneKit init, term lookup, knowledge search. v2.1.0.

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7. Knowledge Platform

5 FROOT layers: Foundations, Reasoning, Orchestration, Operations, Transformation. 682KB bundled.

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8. AI Assistant & Configurator

GPT-4.1 powered chatbot grounded in solution plays and knowledge modules. 3-step recommendation wizard.

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9. Partner Integrations

MCP adapters for ServiceNow, Salesforce, SAP, Datadog, PagerDuty, Jira, Slack, Teams.

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10. Plugin Marketplace (85 Plugins)

77 standalone + 8 community partner plugins. Pagination, modals, search, VS Code install buttons.

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11. Infrastructure (Bicep + AVM)

100 main.bicep templates, Azure Verified Modules, private endpoints, RBAC, Managed Identity.

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12. Evaluation Pipeline

eval.py per play: relevance, groundedness, coherence, fluency, safety — 13 quality checks, HTML reports.

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13. CI/CD Pipeline (15 Workflows)

GitHub Actions: validate-primitives, consistency-check, npm/PyPI/Docker/VS Code publish. All passing.

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14. Developer Hub

Admin guide, user guide, contributor guide, API reference, architecture overview. 15 learning hub pages.

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15. Open Source Community

MIT license, $0 forever. 25 Good First Issues, Play Claim Board, hackathon program, contributor leaderboard.

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16. Roadmap

Certification program (L1-L4 config ready), enterprise edition (8 features spec'd), 1000+ primitives target (861/1000).

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