Learn to build production-ready AI agents in Python using Anthropic's SDK without heavy frameworks. Includes tool use, streaming, and real-world patterns.
Agentic AI Council for Government Decisions
Build auditable multi-agent AI systems for regulated decisions. Specialist agents deliberate, an AI Judge certifies, every step is recorded.
Conversational Feedback Loops in .NET Multi-Agent Systems: Back-Edges and Context-Aware Handoffs
Learn how to implement back-edges and EnableReturnToPrevious() in Microsoft Agent Framework for context-aware agent handoffs without restarting workflows.
Agent Handoff Patterns in .NET: Sequential Routing and State Transfer
Implement multi-agent handoff patterns in Microsoft Agent Framework. Learn sequential routing, triage agents, and conversation context transfer for complex agentic AI workflows.
Model Routing & Fallback in Microsoft Agent Framework
Configure multi-model LLM backends with Microsoft Foundry. Implement fallback chains, cost-aware routing, and outage handling in .NET agents.
Open Knowledge Format in .NET: Building Portable Agent Knowledge
Learn how OKF enables portable, vendor-neutral knowledge systems for AI agents in .NET. Technical architecture, implementation patterns, and enterprise integration.
Streaming AI Agent Responses in .NET with Server-Sent Events
Learn to stream AI agent responses in real-time using SSE and .NET. Reduce latency, handle backpressure, and deliver tokens as they're generated.
Build Voice-Enabled AI Agents in .NET with Azure AI Voice Live
Learn to build real-time voice AI agents in .NET using Azure AI Voice Live and Microsoft Agent Framework. Complete guide to streaming audio, session state, agent orchestration, and production deployment.
Human Approval Gates in .NET AI Agent Workflows
Build safe AI agents with human-in-the-loop approval gates using Microsoft Agent Framework. Practical .NET patterns for sensitive operations.
Semantic Search in .NET 9 with Microsoft.Extensions.VectorData: Build RAG APIs
Step-by-step guide to implementing semantic search and RAG in .NET 9 using Microsoft.Extensions.VectorData. Store embeddings, query vectors, and expose search APIs.