Microsoft's platform for building, evaluating and deploying AI applications and agents. It offers a catalogue of models, tools for grounding and safety, and deployment options on Azure.
그라운딩이 없으면 Copilot과 에이전트는 존재하지도 않는 3분기 할인 정책처럼 그럴듯한 답을 지어냅니다. 이번 에피소드에서는 멀티모달 AI 앱이 지저분한 기업 데이터 앞에서 왜 실패하는지, 그리고 Azure AI Search 기반 Retrieval Augmented Generation과 평가 도구, 거버넌스가 어떻게 답변을 현실에 붙잡아 두는지 설명합니다.
대부분의 AI 봇은 데모에서는 인상적이지만, 회사 정책이나 프로젝트 현황 같은 실제 질문에는 답하지 못합니다. 테넌트 데이터와 연결되어 있지 않기 때문입니다. 이번 에피소드는 Retrieval Augmented Generation(RAG)이 어떻게 '앵무새'를 진짜 비서로 바꾸는지 설명하고, 보조 바퀴를 단 빠른 성과의 Copilot Studio와 완전한 제어와 거버넌스를 제공하는 Azure AI Foundry를 비교합니다.
기업에서 AI를 활용하려면 똑똑한 모델만으로는 부족합니다. 추적 가능성이 필요합니다. 이번 에피소드에서는 Azure AI Foundry Agent Service가 예측하기 어려운 AI를 통제되고 감사 가능한 시스템으로 바꾸는 방법을 소개합니다.
Latest update
LaunchedAzure Updates
Generally Available: Cost management and tagging for Claude models in Microsoft Foundry
Microsoft Foundry now brings Claude models into Azure Cost Management alongside the rest of your Foundry spend, generally available. Until now, Claude charges appeared under SaaS rather than under the Foundry resource used to deploy them, and Claude deployments lacked the tags enterprises rely on for showback and chargeback, leaving finance and platform teams to reconcile costs by hand. With this release, Claude costs appear under the associated Foundry resource; Claude deployments and Foundry resources support tags that follow your organization's existing conventions; and Claude cost records carry model and usage_type tags, so you can…
General Availability: October 2026
Older updates (8)In previewAzure Updates Public Preview: Protect sensitive generative AI telemetry in Application Insights and Microsoft Foundry
Azure Monitor Application Insights now stores generative AI
content in a dedicated GenAIContent table (AppGenAIContent in Log
Analytics), making it possible to apply newly
available access controls to sensitive AI telemetry. Because Application
Insights powers observability in Microsoft Foundry, these protections benefit
customers using either experience.
Since these new protections are built into Log Analytics at
the platform layer, they extend beyond just generative AI content. You can now easily
configure any table in Azure Monitor to use a more restrictive role for data
access.
Organizations can use these capabilities to help…
Preview: July 2026 · Private Preview: July 2026
Azure Updates Announcing: Multi-agent orchestration patterns including Magentic in Microsoft Agent Framework
Microsoft Agent Framework reaches general availability for multi-agent orchestration patterns, including the dynamic Magentic pattern that delivered 38 percent on GAIA and competitive results on AssistantBench and WebArena in published benchmarks. The GA release covers sequential pipelines, parallel collaboration, and Magentic-style coordination, all expressed in the same framework API so teams can swap patterns without rewriting agent code. Customers running complex research, document processing, and operations workflows can now build specialist agents and let the framework handle planning, hand-off, and recovery. The release ships in .NET…
Effective: June 2026
Azure Updates Announcing: Agent Harness in Microsoft Agent Framework
Microsoft Agent Framework reaches general availability for Agent Harness, the production runtime for agents built with the framework. Customers running pilots on the preview harness can now move the same agent code into production with backwards compatibility, SLA-backed support, and stable interfaces for tool calls, state, and telemetry. The GA release ships in .NET and Python, supports local development, container deployment, and Foundry Hosted Agents from one binary, and emits OpenTelemetry traces that show up in Foundry observability dashboards without custom wiring. Enterprise customers building internal copilots and customer-facing…
Effective: June 2026
Azure Updates Announcing: Multi-agent orchestration SDK with the Microsoft Foundry Agent Framework in C# and Python
Microsoft Foundry is now introducing Agent Framework, a unified multi-agent orchestration SDK for C# and Python. This release consolidates patterns previously spread across AutoGen and Semantic Kernel, giving developers a consistent set of abstractions for building, coordinating, and deploying agents. The Microsoft Foundry Agent Framework reduces integration complexity, helps teams avoid conflicting libraries, and streamlines long-term maintenance by providing a single, well-supported model for multi-agent workloads. This release applies to scenarios that require deterministic coordination across tasks, tools, and models, while maintaining…
Effective: April 2026
Azure Updates Announcing: Tracing for Microsoft Agent Framework (Python and .NET)
In public preview, Microsoft Foundry now offers tracing for the Microsoft Agent Framework in both Python and .NET, helping developers observe how agents reason, call tools, and interact with models during execution. This release is part of the broader hosted agents update and emits OpenTelemetry-compatible spans that you can route to Application Insights or other compatible backends, making it easier to debug failures, identify latency hotspots, and validate behavior before deploying to production. The preview is intended for evaluation and may evolve as schemas, attributes, and sampling controls are finalized ahead of general availability.…
Effective: June 2026
Azure Updates Announcing: CodeAct pattern and Hyperlight containers in Microsoft Agent Framework
Microsoft Agent Framework adds the CodeAct pattern in public preview, which lets agents collapse a multi-step plan into a single executable code block rather than chaining one tool call at a time. In representative workloads, CodeAct cut end-to-end latency by roughly 50 percent and token use by more than 60 percent compared with step-by-step orchestration. The framework runs CodeAct programs inside Hyperlight, a Microsoft-built sandboxed container runtime that boots in milliseconds and isolates each execution from the host and from other agents. Developers get the productivity of letting the model write code without giving up the safety…
Effective: June 2026
Azure Updates Announcing: Episodic procedural memory in Microsoft Agent Framework
Microsoft Agent Framework adds episodic procedural memory in public preview, a built-in store that lets agents remember successful task patterns and replay them on similar future requests. The framework records action sequences, tool selections, and intermediate decisions as episodes, then retrieves the closest match when a new user request looks similar. Agents become measurably faster and cheaper at recurring tasks because they reuse proven plans instead of re-deriving them from scratch on every run. The capability targets agent developers who currently bolt on custom caching layers or manual few-shot prompts to get this behavior. Episodic…
Effective: June 2026
Azure Updates Announcing: DevUI Agent Inspector for Microsoft Agent Framework
Microsoft Agent Framework adds DevUI Agent Inspector in public preview, a local debugging surface that shows agent runs as a navigable tree of model calls, tool invocations, and intermediate state. Developers can pause, replay, and edit prompts mid-run, swap models without restarting, and inspect the full payload sent to each tool. The inspector reads the same OpenTelemetry traces that Foundry observability consumes, so what you see locally matches what shows up in production dashboards. DevUI runs as a sidecar process on a developer workstation and connects to agents built with the framework in .NET or Python. The preview is aimed at agent…
Effective: June 2026
Summaries of official Microsoft release information, checked daily.
Community wiki
Short info above, community knowledge below: add practical tips, examples or corrections. New contributions are reviewed first; trusted members publish directly.
Experts and companies for this topic
Nobody has listed this topic yet. Add it to your profile.