Posts tagged with "AI Agents"

GPT-6 Astra arrived in Microsoft Foundry on 3 September 2026 at $10/$50 per million tokens, the same list price as Claude Fable 5.1 and 2.5x GPT-5.6 Sol on promo, behind a Limited Access gate and with no EU Data Zone. The cost math on document jobs and 60-turn agent loops, the 272K long-context cliff, what the Critical cyber rating means for refusals, and how a Swedish team should handle residency until the EU zone lands at its new 20% premium.

Claude Fable 5.1 keeps Fable 5's $10/$50 pricing but cuts cache reads to $0.25 per million tokens, which turns a 60-turn agent session from $17.25 into $10.50 and shrinks the premium over Opus 5 from 2x to about 22%. On Microsoft Foundry it ships Anthropic-hosted only, with no EU data zone, no Batches API, a zero default quota on pay-as-you-go, mandatory 30-day retention until Enterprise Frontier Safeguards arrive, and three breaking changes for teams migrating from Fable 5.

A published attack chain achieved remote code execution against Claude Code in auto mode, with the safety classifier approving the steps that led to compromise and then blocking the cleanup command. What the break teaches teams running AI coding agents, and how to build real isolation on Azure with Hyper-V sandboxes, default-deny egress and short-lived credentials.

Anthropic's Model Hardware Standard, released as a research preview on 27 August, gives AI agents a standard way to operate microscopes, liquid handlers and robotic arms through read and write primitives exposed over MCP. Launch partners report instrument integrations in hours instead of weeks, and the timing puts agent-operated hardware on a collision course with the EU Machinery Regulation that applies from January 2027.

The Azure OpenAI Assistants API reached its retirement date on 26 August 2026, and the classic Foundry Agent Service it underpins retires 31 March 2027. A step-by-step migration guide to the new Foundry Agent Service on the Responses API: threads become conversations, runs become responses, assistants become versioned agents, and Microsoft's migration tool rewrites code but not stored state.

The MCP core maintainers published a new roadmap on 22 August 2026, four weeks after the 2026-07-28 spec made the protocol core stateless: five priorities covering agentic messaging, HTTP-native transport unification, agent identity with DPoP and Workload Identity Federation, improved primitives, and SDK developer experience. Here is how Azure-first EU teams should sort that list into adopt now, prepare, and watch.

Anthropic's 19 August GA wave took computer use out of beta, launched a browser use toolset, and moved the Files API, Agent Skills and enterprise user management to production on the Claude API. The same release added allowed_domains and blocked_domains restrictions for agent web tools: how the matching rules work, when to allowlist versus blocklist, and what the controls mean for EU governance.

Microsoft's Agent Framework Harness and Foundry Hosted Agents reached general availability in early August 2026, wrapping models with function invocation, context compaction, planning, memory, tool approvals and OpenTelemetry in a runtime that runs locally, in containers, or consumption-billed on Foundry. A decision framework for Azure teams weighing the GA runtime against a hand-rolled agent loop, with cost levers and the Swedish compliance picture.

The Model Context Protocol specification version 2026-07-28 shipped on 28 July with a stateless core, Multi Round-Trip Requests, required routing headers, cacheable list results and a hardened authorization model that deprecates Dynamic Client Registration in favour of Client ID Metadata Documents. All four Tier 1 SDKs shipped support on release day, so Azure teams running MCP servers on Container Apps, AKS or behind API Management can start migrating immediately.

Claude Opus 5 launched on 24 July 2026 at $5/$25 per million tokens with a 1M context window and day-one availability in Microsoft Foundry. For long-running agents the per-token price is the wrong unit: we work through cost per completed task against Sonnet 5 and GPT-5.6 Sol, and flag the EU data-residency caveat Swedish Azure teams need to check first.

GPT-5.6 (Sol, Terra, Luna) went GA in Microsoft Foundry on 9 July 2026, day-and-date with OpenAI, alongside a new Asia-Pacific Data Zone and a hosted agents runtime with VNet integration. A practical guide for Swedish and EU Azure teams: choosing between the three models, picking Global Standard versus EU Data Zone versus PTUs, worked cost math on the launch prices, and a two-week adoption checklist.

Anthropic launched Claude Sonnet 5 on 30 June 2026 at an introductory 2/10 dollars per million tokens, posting 63.2% on SWE-bench Pro and near-Opus agentic performance at 40-60% of the cost per task. We run the cost math against Opus 4.8 and GPT-5.5, set out a routing framework for when the cheap model wins, and draw the continuity lesson from the eighteen-day Fable and Mythos export-control pause.

Google made computer use a native tool in Gemini 3.5 Flash on 24 June 2026, putting vision-based UI agents in its low-cost tier for browser, mobile and desktop automation. A comparison with Azure AI Foundry's Computer Use and Browser Automation previews, with a decision framework for legacy-UI automation and the GDPR implications of shipping screenshots to a model endpoint.

Microsoft made Copilot Cowork generally available worldwide on 16 June 2026, giving every Microsoft 365 Copilot tenant an agentic system that plans and delivers multi-step work, billed through Copilot Credits at 0.01 dollars each with no usage bundled into the license. Swedish IT teams now need spending limits, a DPIA update for the Anthropic-by-default model lineup, and a clear answer on when Cowork beats building a Foundry agent.

GitHub’s new Copilot desktop app runs multiple coding agents in parallel, each session isolated in its own git worktree, and is already included in Copilot Pro, Pro+, Business and Enterprise subscriptions. Getting value from it depends less on prompting than on task selection, worktree hygiene, supervision cadence and engineered review capacity, because five agents can open pull requests faster than one reviewer can read them.

Microsoft Build 2026 turned Foundry into a full production-agent stack: Foundry IQ for unified retrieval, Toolboxes for managed tool access, agent memory, Voice Live and the experimental Scout Autopilot. Foundry IQ knowledge bases and Voice Live are generally available now, Toolboxes and memory sit in public preview, and Scout remains experimental, which sets the build, pilot and watch lanes for an Azure-first EU team.

Claude Opus 4.8 arrives at unchanged pricing with an effort control on all plans, a fast mode at a third of the previous fast-inference cost, and a Messages API change that lets system entries sit inside the messages array so mid-task instruction updates no longer invalidate the prompt cache. Worked token math shows cache hit rate remains the biggest cost lever, and a four-question framework matches effort, speed and fan-out to each workload.

Microsoft's 26 May Copilot Studio update takes computer-using agents to general availability, ships a redesigned workflows designer with agent nodes, and moves A2A communication and remote MCP support to GA. CUA runs bill at 5 credits per agent action, which makes adaptive UI agents cheaper than classic RPA at modest volumes and costlier at high, steady ones.

MCP's 2026-07-28 release candidate removes the initialize handshake and the Mcp-Session-Id header, so every request is self-contained and Azure-hosted MCP servers can run behind plain load balancers without sticky sessions or Redis session stores. Tasks and MCP Apps land as formal extensions, six SEPs harden authorization around OAuth 2.0 and OpenID Connect, and Roots, Sampling and Logging enter a 12-month deprecation window.

Google's I/O 2026 enterprise announcements, led by the Managed Agents API, Gemini Spark and Gemini 3.5 Flash, take direct aim at Azure AI Foundry Agent Service and the Copilot ecosystem, down to launch connectors for SharePoint and OneDrive. For Azure-first Swedish and EU teams the decision rests on four questions: where the data lives, whether the cost claim survives real traces, whether audit obligations can be met, and what a second platform costs.

Unit tests cover deterministic functions. Agent loops are not deterministic. The evaluation gap is where most production agent failures live, and where the regressions are easiest to catch with a small amount of disciplined infrastructure. Three eval dimensions, how to build a labelled set, and where LLM-as-judge actually works.

The AI agent SDK landscape in 2026 has narrowed to a handful of serious contenders, each with distinct strengths. A working comparison of Claude Agent SDK, LangGraph, AutoGen, Microsoft Agent Framework, and Mastra, with a decision matrix that lets you pick on the criteria that actually matter for your project.

Standard APM was built for HTTP requests and database queries. Agent runs produce a different signal shape: nested decisions, tool calls, hallucination signals, accumulating context. The observability stack has caught up. Here is the production setup that makes agents debuggable.

Agent loops cost 10x to 50x what a chatbot interaction costs; multi-agent systems add another order of magnitude. The cost compounding is structural, not a bug. The cost reduction is structural too. Decomposing where the tokens go and how to bring agent economics back from runaway to acceptable.

Most multi-agent demos collapse in production. The patterns that survive contact with real workloads are smaller in number and more disciplined than the demos suggest. Planner-worker, supervisor-team, critic-reviser, and hierarchical compositions, with the cost and failure tradeoffs that decide which one to pick when.

Browser-based AI agents moved from labs to early production in 2025 and 2026. Anthropic Computer Use, Microsoft Magentic, and OpenAI Operator each take a distinct architectural bet. This is the working comparison for engineers deciding which to deploy and which workloads they actually fit.

A production-shaped guide to designing AI agent tools that the model can actually use without breaking things. Schema choices, idempotency keys, error responses the model can act on, granularity tradeoffs, versioning, and the patterns that separate demo-quality tools from ones that hold up in real workloads.

A deep dive into Microsoft Entra Agent ID, the control plane for AI agent identity in 2026. Covers identity blueprints, attended and unattended authentication, tool-level RBAC, conditional access, OBO flows across multi-agent systems, and the audit logging that satisfies DORA, NIS2, and AI Act obligations.

The capability spectrum from stateless LLM to multi-agent orchestration is one of the most conflated concepts in the 2026 AI market. The distinctions matter. They change architecture, they change cost by an order of magnitude, and under the EU AI Act they change compliance posture.

Classic RAG hits a ceiling when questions require multi-hop reasoning or query refinement. Agentic RAG — treating retrieval as a tool, decomposing queries, adding self-correction loops — routinely wins where classic RAG plateaus.

One year after MCP shipped, this is what adoption actually looks like — server ecosystems, integration patterns, security concerns like tool poisoning and prompt injection, and the open questions heading into 2026.

A year-end, hype-free review of where agentic AI actually shipped in 2025, which patterns graduated from pilot to production, and which still need work before they are safe to trust with consequential decisions.

Microsoft 365 Copilot unifies Chat, Search, Agents, Notebooks, and Create into one secure workflow. Discover how Work IQ, AI-enhanced search, autonomous agents, and integrated content creation eliminate context switching and boost productivity.

Agents need context. Discover Foundry IQ—the knowledge layer connecting AI agents to enterprise data with multi-source RAG orchestration, retrieval steering, dynamic security controls, and agentic RAG delivering 36% higher accuracy than traditional search.

From scientific research to enterprise AI transformation, discover how Microsoft Foundry unifies models from OpenAI, Anthropic, Cohere, Meta, and more into one secure platform. Learn intelligent model routing, cost optimization, and the game-changing Claude integration.

Microsoft Ignite BRK194: Model Context Protocol (MCP) standardizes agent-tool communication across platforms. Azure API Center integration, federated registries, cross-cloud orchestration, and enterprise governance for scalable agentic ecosystems.

Ride the agent revolution with Microsoft Foundry, the enterprise-ready Agent Factory. Build, test, and launch intelligent agents with 1,400+ tools, 11,000+ models, multi-agent orchestration, and seamless Microsoft 365 integration—all with bulletproof security and governance.

Microsoft Ignite BRK116: Deploy AI agents at scale with Azure App Service, AI Foundry, and MCP tools. Built-in observability, governance, security. Hitachi case study shows 73% downtime reduction and 41% cost savings.

Teams with strong DevOps practices are best positioned to harness AI power. Discover how GitHub Copilot and AI agents bring unprecedented speed, scale, and security across the software development lifecycle—from planning to production.