Primitives

fai-dspy-expert

DSPy framework specialist — declarative LM programs, signature-based modules, optimizers (BootstrapFewShot, MIPRO), assertions, metric-driven prompt optimization, and compiled prompt pipelines.

• performance-efficiency
• cost-optimization
• reliability

fai-elasticsearch-expert

Elasticsearch specialist — index design, BM25 + kNN hybrid search, vector fields with HNSW, ILM lifecycle, cluster management, and RAG integration patterns.

• performance-efficiency
• reliability
• security

fai-embedding-expert

Embedding specialist — text-embedding-3 model selection, Matryoshka dimension reduction, batch embedding pipelines, similarity metrics, chunking strategies, and vector database integration for RAG.

• cost-optimization
• performance-efficiency

fai-event-driven-expert

Event-driven architecture specialist — Azure Event Grid, Service Bus, Event Hubs selection, event sourcing, CQRS, saga orchestration, and exactly-once processing patterns for AI pipelines.

• reliability
• performance-efficiency
• cost-optimization

fai-genai-foundations-expert

GenAI foundations expert — transformer architecture, tokenization, inference optimization (KV cache, speculative decoding), model taxonomy, prompt engineering theory, and evaluation benchmarks.

• performance-efficiency
• cost-optimization

fai-github-actions-expert

GitHub Actions specialist — OIDC federation to Azure, reusable workflows, matrix strategies, composite actions, caching, security hardening, and AI-specific CI/CD patterns (eval.py gates, prompt regression).

• operational-excellence
• security

fai-go-expert

Go development specialist — idiomatic Go 1.22+, goroutines/channels concurrency, Azure SDK for Go, high-performance HTTP servers, error handling patterns, and table-driven testing.

• performance-efficiency
• reliability
• security

fai-graphrag-expert

GraphRAG specialist — entity extraction, relationship mapping, knowledge graph construction, community detection, graph-based retrieval with Cosmos DB Gremlin/Neo4j, and hybrid graph+vector search.

• performance-efficiency
• reliability

fai-grpc-expert

gRPC specialist — Protocol Buffers schema design, unary/streaming RPCs, interceptors for auth and tracing, load balancing, health checking, and high-performance AI microservice communication.

• performance-efficiency
• reliability

fai-java-expert

Java/Spring Boot specialist — Java 21+ virtual threads, Spring Boot 3.3, Spring AI for LLM integration, reactive streams for SSE, Azure SDK, and enterprise-grade AI application patterns.

• reliability
• security
• operational-excellence

fai-jira-expert

Jira integration specialist — AI-powered ticket triage, sprint query automation, board management, release tracking, and project management workflow design.

• operational-excellence

fai-kubernetes-expert

Kubernetes specialist — pod scheduling, GPU resource management, network policies, Helm charts, GitOps with Flux/ArgoCD, and production-grade AI workload orchestration on AKS.

• reliability
• performance-efficiency
• security

fai-landing-zone

Azure AI Landing Zone architect — hub-spoke networking, private endpoints for all PaaS, managed identity, GPU quotas, governance policies, and Bicep-based enterprise AI infrastructure.

• security
• reliability
• operational-excellence

fai-langchain-expert

LangChain framework specialist — LCEL expression language, chains, agents with tool use, retrievers, memory, callbacks, LangSmith tracing, and production RAG pipeline patterns.

• reliability
• operational-excellence

fai-llamaindex-expert

LlamaIndex data framework specialist — document loaders, index types (VectorStore/Summary/Knowledge Graph), query engines, response synthesizers, and agent tool integration for RAG.

• performance-efficiency
• reliability

fai-llm-landscape-expert

LLM landscape expert — model families (GPT, Claude, Llama, Gemini, Phi), benchmarks (MMLU, HumanEval, MT-Bench), deployment types, quantization, and model selection frameworks.

• cost-optimization
• performance-efficiency

fai-markdown-expert

Markdown specialist — CommonMark/GFM, agent markup (.agent.md/.instructions.md/SKILL.md), documentation standards (README/ADR/changelog), accessibility, and content structure.

• operational-excellence

fai-mentoring-agent

Developer mentoring specialist — Socratic teaching, personalized learning paths, constructive code review feedback, skill gap analysis, and progressive complexity scaffolding.

• responsible-ai
• operational-excellence

fai-mermaid-diagram-expert

Mermaid diagram specialist — flowcharts, sequence diagrams, architecture diagrams, ER diagrams, state machines, and Gantt charts for AI system documentation.

• operational-excellence

fai-ml-engineer

ML engineering specialist — model training pipelines, LoRA/QLoRA fine-tuning, evaluation metrics, MLOps with Azure AI Foundry, model registry, and serving optimization for production AI.

• cost-optimization
• performance-efficiency
• operational-excellence

fai-mlflow-expert

MLflow specialist — experiment tracking, model registry, metric/artifact logging, Azure ML integration, deployment pipelines, and model lifecycle management.

• operational-excellence
• reliability

fai-openapi-expert

OpenAPI specialist — API-first design, OpenAPI 3.1 spec authoring, code generation, validation middleware, and Copilot plugin API definition for AI applications.

• operational-excellence
• reliability

fai-performance-profiler

Performance profiling specialist — latency analysis (P50/P95/P99), token optimization, GPU utilization profiling, bottleneck identification, cold start analysis, and AI pipeline performance tuning.

• performance-efficiency
• cost-optimization

fai-play-dispatcher

FAI play dispatcher — routes user requests to the correct solution play based on intent classification, understands all 101 plays and their domains, delegates to specialist agents.

• cost-optimization
• operational-excellence