Play 100 β FAI Meta-Agent π―
The capstone play β self-orchestrating agent that routes users to the right play, initializes DevKit/TuneKit/SpecKit, and provides cross-play intelligence across all 101 solution plays.
Build the FAI Meta-Agent β FrootAIβs master orchestrator. Semantic search over all 101 plays matches user intent to the best solution, cross-play intelligence suggests complementary plays (e.g., RAG + Governance), DevKit initializer scaffolds the complete development environment, and feedback loops continuously improve routing accuracy.
Quick Start
cd solution-plays/100-fai-meta-agent
az deployment group create -g $RG -f infra/main.bicep -p infra/parameters.json
code .
# Use @builder to implement, @reviewer to audit, @tuner to optimizeArchitecture
π Full architecture details
| Service | Purpose |
|---|---|
| Azure OpenAI (gpt-4o) | Intent classification + routing rationale |
| Azure AI Search (Basic) | Play catalog semantic search (101 plays) |
| Cosmos DB (Serverless) | User context, recommendations, feedback |
| Container Apps | Meta-Agent API + configurator |
Pre-Tuned Defaults
- Routing: Intent classification β semantic search β context reranking β combination check
- Combinations: 5 static pairs + dynamic rules for security/governance/evaluation
- DevKit: Full scaffold (copilot-instructions, agents, skills, hooks, prompts, config, spec)
- Feedback: 5 tracking events Β· monthly routing retrain Β· satisfaction β₯ 4.0 target
DevKit (AI-Assisted Development)
| Primitive | What It Does |
|---|---|
agent.md | Root orchestrator with builderβreviewerβtuner handoffs |
copilot-instructions.md | Meta-agent domain (play routing, cross-play, DevKit init, FAI Protocol) |
| 3 agents | Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini) |
| 3 skills | Deploy (250+ lines), Evaluate (115+ lines), Tune (235+ lines) |
| 4 prompts | /deploy, /test, /review, /evaluate with agent routing |
Cost Estimate
| Service | Dev/mo | Prod/mo | Enterprise/mo |
|---|---|---|---|
| Azure OpenAI | $50 (PAYG) | $800 (PAYG) | $2,500 (PTU Reserved) |
| MCP Server | $10 (Consumption) | $200 (Dedicated) | $600 (HA) |
| Container Apps | $15 (Consumption) | $400 (Dedicated) | $1,200 (Dedicated HA) |
| Azure Cosmos DB | $5 (Serverless) | $280 (5000 RU/s) | $750 (15000 RU/s) |
| Azure AI Search | $0 (Free) | $250 (Standard S1) | $1,000 (Standard S2) |
| Key Vault | $1 (Standard) | $10 (Standard) | $40 (Premium HSM) |
| Application Insights | $0 (Free) | $60 (Pay-per-GB) | $200 (Pay-per-GB) |
| Total | $81 | $2,000 | $6,290 |
π° Full cost breakdown
The Capstone
Play 100 is unique β itβs the only play that:
- Routes to all 100 other plays based on user intent
- Initializes DevKit for any play with one command
- Suggests play combinations (RAG+Governance, Voice+Safety, etc.)
- Tracks feedback to improve routing over time
- Is the entry point to the entire FrootAI ecosystem
π Full documentation Β· π frootai.dev/solution-plays/100-fai-meta-agentΒ Β· π¦ FAI Protocol
FAI Manifest
| Field | Value |
|---|---|
| Play | 100-fai-meta-agent |
| Version | 1.0.0 |
| Knowledge | O2-AI-Agents, O3-MCP-Tools, T3-Production-Patterns, O4-Azure-AI, R2-RAG |
| WAF Pillars | reliability, security, responsible-ai, cost-optimization, operational-excellence, performance-efficiency |
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