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Solution PlaysPlay 03: Play 03 โ€” Deterministic Agent ๐ŸŽฏ

Play 03 โ€” Deterministic Agent ๐ŸŽฏ

Reliable, reproducible AI agent with zero temperature and multi-layer guardrails.

When you need AI that gives the same answer every time. Temperature=0, seed pinning, structured JSON output, confidence scoring, anti-sycophancy prompts, and a multi-layer guardrail pipeline.

Quick Start

cd solution-plays/03-deterministic-agent az deployment group create -g $RG -f infra/main.bicep -p infra/parameters.json code . # Use @builder for pipelines, @reviewer for determinism audit, @tuner for thresholds

Pre-Tuned Defaults

  • Temperature: 0.0 ยท Seed: 42 ยท Structured JSON output
  • Confidence threshold: โ‰ฅ0.7 (abstain below)
  • Anti-sycophancy prompts ยท Citation requirements

DevKit

PrimitiveWhat It Does
3 agentsBuilder (zero-temp pipelines), Reviewer (reproducibility audit), Tuner (confidence thresholds)
3 skillsDeploy (106 lines), Evaluate (152 lines), Tune (153 lines)

Architecture

Rendering diagramโ€ฆ

๐Ÿ“ Full architecture details โ€” data flow, security architecture, scaling guide

Cost Estimate

ServiceDev/PoCProductionEnterprise
Azure OpenAI$40 (PAYG)$250 (PAYG)$1,000 (PTU Reserved)
Container Apps$10 (Consumption)$80 (Dedicated)$250 (Dedicated HA)
Content Safety$0 (Free)$20 (Standard)$75 (Standard)
Key Vault$1 (Standard)$3 (Standard)$10 (Premium HSM)
Application Insights$0 (Free)$25 (Pay-per-GB)$80 (Pay-per-GB)
Log Analytics$0 (Free)$15 (Pay-per-GB)$50 (Commitment)
Total$51/mo$393/mo$1,465/mo

๐Ÿ’ฐ Full cost breakdown โ€” per-service SKUs, usage assumptions, optimization tips

๐Ÿ“– Full docs ยท ๐ŸŒ frootai.dev/solution-plays/03-deterministic-agentย 

FAI Manifest

FieldValue
Play03-deterministic-agent
Version1.0.0
KnowledgeR3-Deterministic-AI, O2-Agent-Coding
WAF Pillarssecurity, reliability, responsible-ai
Groundednessโ‰ฅ 85%
Safety0 violations max
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