• 1. Implement advanced prompting techniques
• 2. Design context-aware agent behaviors
• 3. Implement agent and model fine-tuning strategies

– Implement multi-agent orchestration

• 1. Monitor availability, performance, and SLA compliance
• 2. Implement human-in-the-loop processes
• 3. Implement tracing with Microsoft Foundry
• 4. Implement orchestration patterns
• 5. Use Microsoft Agent Framework, LangChain, LangGraph, and Hugging Face Transformers
• 6. Design caching strategies
• 7. Integrate agents using Agent2Agent and MCP
• 8. Optimize token usage and cost management
• 9. Implement scalable concurrent execution
• 10. Design reusable middleware

– Build and integrate tool ecosystems

• 1. Implement tool validation, error handling, and fallback mechanisms
• 2. Design and build MCP servers and clients
• 3. Integrate external tools and function calling

– Design and implement agent memory, context management, and knowledge integration

• 1. Implement memory strategies
• 2. Implement knowledge integration using search, MCP, and semantic search
• 3. Design multi-agent RAG architectures
• 4. Implement context management across agents

• 1. Specify observability components including tracing, structured logging, and replay
• 2. Specify monitoring components for coordination, drift detection, and remediation
• 3. Design workflows with agents, subagents, control loops, and human-in-the-loop
• 4. Select developer tools and environments for the software development lifecycle
• 5. Decompose goals into workflows, agents, and tools
• 6. Specify compute components for scalability, reliability, security, and cost optimization

• 1. Implement authentication and authorization
• 2. Implement identity, RBAC, and network security
• 3. Manage secrets with Azure Key Vault
• 4. Apply shift-left security practices

– Deploy multi-agent solutions to Azure

• 1. Design testing strategies
• 2. Choose deployment and release methodologies
• 3. Implement multi-environment release strategies
• 4. Implement CI/CD and infrastructure as code

– Design and implement guardrails

• 1. Design custom guardrails
• 2. Implement guardrails for inputs, tools, and outputs
• 3. Validate guardrails with testing and synthetic data

• 1. Evaluate workflows and orchestration
• 2. Measure agent performance and quality

– Optimize operational performance

• 1. Monitor production workloads and operational health
• 2. Optimize latency, throughput, and token consumption