Primitives

fai-cost-tracker

Triggers on Stop (1 script)

fai-governance-audit

Triggers on UserPromptSubmit, SessionStart, Stop (3 scripts)

fai-license-checker

Triggers on Stop (1 script)

fai-output-validator

Triggers on Stop (1 script)

fai-pii-redactor

Triggers on Stop (1 script)

fai-secrets-scanner

Triggers on Stop (1 script)

fai-session-logger

Triggers on SessionStart, Stop, UserPromptSubmit (3 scripts)

fai-token-budget-enforcer

Triggers on SessionStart (1 script)

fai-tool-guardian

Triggers on PreToolUse (1 script)

fai-tool-observer

Triggers on PostToolUse (1 script)

fai-waf-compliance

Triggers on Stop (1 script)

agent-chain-configure

Orchestrate builder, reviewer, and tuner agent handoffs for solution plays — define roles, model routing, token budgets, and quality gates

api-rate-limit-configure

Configure API rate limiting, APIM throttling, and retry behavior for AI endpoints — absorb bursts, isolate noisy tenants, and control 429 retries

app-insights-configure

Configure Application Insights, OpenTelemetry, and KQL dashboards for AI workloads — trace latency, token usage, failures, and cost signals

audit-log-implement

Implement immutable audit logging, PII redaction, and Sentinel monitoring for AI systems — preserve evidence, prove access history, and detect suspicious activity

azure-openai-setup

Set up Azure OpenAI deployments, RBAC, and monitoring — harden inference endpoints and control latency, quota, and cost

backup-restore-ai

Back up AI data, vector indexes, and configuration state — recover prompts, conversations, and search assets after failures

bicep-module-create

Create reusable Bicep modules, parameter files, and registry packages — standardize Azure infrastructure and reduce deployment drift

canary-deploy-ai

Implement canary deployment, rollout gates, and rollback automation for AI changes — catch latency or quality regressions before full release

circuit-breaker-add

Add a circuit breaker, fallback routing, and health checks for Azure OpenAI calls — contain 429 and 503 cascades and preserve service

compliance-audit-run

Run AI compliance audits, collect Azure evidence, and track remediation — assess SOC 2, HIPAA, ISO 27001, and EU AI Act controls

embedding-model-select

Select embedding models, dimensions, and hybrid search settings for vector workloads - balance recall, storage cost, and migration risk

fai-agent-chain-configure

Configure builder→reviewer→tuner agent chain with handoff rules, model assignment, and evaluation gates.

fai-agent-governance

Review agent safety controls, budget limits, and human escalation paths - approve only agents that stay bounded, observable, and policy-compliant