337 posts · Page 23 of 29. ← Blog
The mental model that says no two adjacent layers share a single point of failure for the same class of attack. From TLS to OTel, the eleven layers a customer request crosses before an answer comes back.
Packaging reusable agent capabilities that load lazily via progressive disclosure.
Package reusable agent capabilities as skills: define an InlineSkill with frontmatter, resources, and scripts, attach via SkillsProvider, and let the agent load them lazily on demand.
One Session threaded through every call turns two stateless one-shots into a single conversation that remembers.
Thread one agent.Session through every RunText call with agent.WithSession to turn stateless one-shots into a single conversation that remembers.
The long-form security narrative for a multi-agent financial assistant — authentication, authorisation, tenant isolation, dual-identity audit, envelope encryption, hash-chained logs, governance, red team, BCP.
Scoring Microsoft Agent Framework agent outputs offline with a LocalEvaluator.
Score Microsoft Agent Framework agent outputs with evaluate_agent and a LocalEvaluator: run offline keyword, tool-call, and custom evaluator checks, then gate CI via raise_for_status.
Hand the agent a plain Go function it can decide to call mid-conversation — the model requests it, the framework runs it, the result flows back.
Register a plain Go function as a tool with functool.MustNew; the model decides when to call it, the framework runs it, and the result flows back into the answer.
Board policy as a YAML file the risk team owns. Annexure VI as a database query. Every governance recommendation rendered as a file path in a Go repository.
Defining a Microsoft Agent Framework agent from a YAML spec instead of code.
Define a Microsoft Agent Framework agent from a YAML spec with AgentFactory create_agent_from_yaml, resolving connection values from env and building the Foundry client from the spec.
The smallest useful agent: give a model instructions and a name, hand it a message, get a response — collected or streamed.
Build the smallest useful agent from instructions and a model, then run the same RunText call two ways — collected all at once and streamed token-by-token.
Twelve months of running multi-agent AI in a regulated context. SLIs that matter, the incident runbook, drift detection, continuous adversarial testing, secret rotation, compliance posture as code.
Grounding a Microsoft Agent Framework agent in your own docs with a search tool.
Ground a Microsoft Agent Framework agent with RAG-as-a-tool: expose a search function over your docs, instruct the agent to retrieve then answer and cite, and decline when nothing matches.
The zero-network preflight that confirms your Foundry config and Azure credential chain exist before you run a single agent.
A zero-network preflight that confirms your Foundry endpoint, model deployment, and Azure credential chain exist before you run a single agent.