Primitives

fai-agentic-eval

Run evaluator-optimizer loops for agents and prompts - score outputs, revise weak instructions, and stop only when quality thresholds hold

fai-api-docs-generator

Generate API reference docs, examples, and error catalogs from OpenAPI or code annotations - keep endpoint docs accurate, testable, and publishable

fai-api-endpoint-generator

Generate typed REST API endpoints with Zod/Pydantic input validation, RFC 7807 error responses, OpenAPI annotation, and Managed Identity auth — eliminating schema drift and IDOR vulnerabilities.

fai-api-rate-limit-configure

Configure API rate limiting with Azure APIM policies, throttling tiers, and retry headers.

fai-app-insights-configure

Configure Application Insights with custom AI metrics, anomaly alerts, and operational dashboards.

fai-architecture-blueprint

Generate solution architecture blueprints with Mermaid service topology, component responsibility tables, data flow annotations, and WAF pillar mapping — bridging system design to implementation.

fai-architecture-decision-record

Generate Architecture Decision Records capturing context, forces, decision rationale, rejected alternatives, and consequences — preventing knowledge rot when teams diverge from original design intent.

fai-aspire-orchestration

Wire .NET Aspire AppHost for multi-container orchestration, automatic service discovery, distributed OpenTelemetry export, and local Azure emulator integration — eliminating hardcoded connection strings and manual container start order.

fai-aspnet-minimal-api

Scaffold ASP.NET Core Minimal API with typed route groups, FluentValidation, Managed Identity credentials, OpenAPI v3 via Scalar, Serilog structured logging, and health check endpoints — cutting AI service setup time from hours to minutes.

fai-audit-log-implement

Implement immutable audit logging with Azure Blob Storage, Sentinel integration, and compliance evidence.

fai-az-cost-optimize

Analyze Azure AI workload spend with Cost Management API queries, flag overprovisioned PTU, identify semantic cache gaps, right-size model SKUs, and produce actionable FinOps recommendations with ROI estimates.

fai-azure-ai-foundry-setup

Provision Azure AI Foundry Hub and Project with Managed Identity RBAC, private endpoint networking, connected Azure AI Services and Key Vault — ready for Prompt Flow evaluation pipelines and model fine-tuning.

fai-azure-ai-search-index

Create Azure AI Search vector indexes with HNSW profiles, semantic ranker configuration, hybrid BM25+vector search, field mappings for chunked RAG documents, and batch indexing pipelines — resolving recall failures and irrelevant chunk retrieval.

fai-azure-app-config

Wire Azure App Configuration with feature flag targeting filters, Key Vault reference chaining, .NET/Python SDK refresh polling, and blue/green rollout strategies — eliminating hard-coded config values and restart-required deployments.

fai-azure-architecture-review

Conduct Azure Well-Architected Framework reviews with scored pillar assessments, tiered finding severity, remediation priority tables, and an executive scorecard — turning ad-hoc architecture debates into structured, trackable decisions.

fai-azure-blob-lifecycle

Design and apply Azure Blob Storage lifecycle management policies with tiering to cool/archive, retention rules, and delete-after-N-days automation — reducing storage costs by 70% without manual archival work.

fai-azure-cognitive-services

Integrate Language, Speech, Vision, and Translator services with Managed Identity authentication, pre-built and custom models, content safety filters, and regional routing — enabling multi-modal AI without managing credentials.

fai-azure-container-registry

Configure Azure Container Registry with geo-replication across regions, image scanning for vulnerabilities, Managed Identity pull access, and OCI artifact support — enabling secure, distributed container delivery.

fai-azure-cosmos-modeling

Design Cosmos DB data models with optimal partition keys, Request Unit (RU) estimation, vector search embedding storage, and analytical workload isolation — exceeding relational DB performance on RAG and time-series queries.

fai-azure-data-explorer

Configure Azure Data Explorer for real-time telemetry ingestion with KQL queries, time-series aggregations, and interactive dashboards — analyzing AI workload metrics and traces at petabyte scale.

fai-azure-event-grid-setup

Configure Azure Event Grid for event-driven AI pipelines with topic subscriptions, dead-letter queues, retry policies, and role-based filtering — routing document uploads to embeddings to RAG queries without polling.

fai-azure-event-hubs-setup

Configure Azure Event Hubs for real-time data ingestion with stream processing, auto-scaling, Managed Identity auth, and consumer groups — enabling AI workload telemetry at millions of events/second.

fai-azure-functions-setup

Scaffold Azure Functions apps with HTTP/Event Hub/Service Bus triggers, input/output bindings, Managed Identity, Application Insights, and local development setup — enabling serverless AI microservices in minutes.

fai-azure-key-vault-setup

Configure Azure Key Vault with managed identities, RBAC, secret rotation policies, customer-managed keys (CMK), and app integration patterns — avoiding hardcoded secrets and enabling compliant AI workload credential management.