337 posts · Page 12 of 29. ← Blog
How to instrument agents for observability, error handling, and audit logging.
Migrate ADK callbacks to Microsoft Agent Framework composable middleware: decorators for audit logging, retry with backoff, token budget enforcement, and OpenTelemetry tracing.
Turning an agent into a network service other agents can call with the A2A protocol.
A2A turns an agent into a network service: consume a remote one with A2AAgent(url=...) or expose your local Foundry agent by wrapping it in A2AExecutor.
This lesson teaches how to send a question and an image together in one message to a vision-capable Foundry agent.
Put a TextContent and a base64 DataContent JPEG in one message and hand it to a vision agent — multimodal input with no upload step, embedded at compile time.
How to port ADK's model hard-codes to Microsoft Agent Framework's provider factory pattern.
Zero-code LLM provider swaps across environments: Ollama for dev, OpenAI for staging, Azure Foundry for prod. Same agents, different models.
Giving any agent a local chat window plus a live call inspector with agent_framework.devui.serve.
DevUI wraps any Foundry agent in a local chat window plus a live inspector via serve(entities=[agent]) from the separate agent-framework-devui package.
This lesson teaches how a Foundry agent borrows tools from a remote MCP server and calls them as if they were local functions.
Connect a Foundry agent to Microsoft Learn's public MCP endpoint over streamable HTTP, list its tools, and hand the whole slice to the agent as proxied tools.
How to port tools, add policy enforcement, and integrate OPA.
Migrate ADK functions to Microsoft Agent Framework governed tools with policy enforcement, DLP scanning, approval gates, and OPA integration for production agent systems.
For open-ended tasks with no known solution path: a manager agent plans, keeps a shared ledger, and round-by-round picks which specialist acts next. Ordering is dynamic, not a fixed graph.
Magentic orchestration puts a manager agent in charge: it plans, keeps a shared ledger, and picks which specialist acts next round by round until it synthesizes an answer.
otelprovider.NewMiddleware wraps every run in an OpenTelemetry span tagged with gen_ai attributes — the same one-line middleware hook you use for logging.
How conversation threads replace session state; how to track token usage across agent chains.
Sessions to threads: porting multi-turn state from ADK to Microsoft Agent Framework. Token budgeting, long-term memory, and conversation audit trails.
A collaborative conversation among agents, coordinated by an orchestrator that decides who speaks next. Agents share full history and refine each other's work over rounds — a star topology.
Group chat coordinates several agents in a star topology: an orchestrator decides who speaks next while agents share full history and refine each other over rounds.
How to serialize an agent.Session to disk and resume it later, so a follow-up prompt still remembers earlier turns across a process restart.
An agent.Session serializes with encoding/json, so you can marshal it to disk or a database and resume it later with the model still remembering earlier turns.