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Amazon SES can now switch open and click tracking per email request

The new request-level controls make email measurement a per-send decision: an application can keep one SES configuration set while disabling open or click tracking for recipients who should not be measured. The override wins over the configuration-set default and adds no separate feature charge.

Google is adding hard spend caps and commitment pricing for AI agent workloads

Google’s new agent FinOps model combines hard monthly spend caps that pause agent API calls, Flexible Savings Plans with one- or three-year commitments, pay-as-you-go Gemini Enterprise usage and planned deferred execution at up to half normal inference cost. The controls are useful, but commitment economics and task eligibility need to be modeled carefully.

Azure Document Intelligence v2.0 API retires August 31 — old integrations need a version migration

Azure Document Intelligence v2.0 reaches retirement on August 31, 2026. Microsoft recommends moving workloads to the current v4.0 API; the post-v2 REST surface was redesigned, so teams should verify the actual api-version their SDK or HTTP client sends rather than assuming a package upgrade is enough.

Cursor turns cloud agents into event-driven workers — and now lets teams choose where they execute

Self-Hosted Machines changes the architecture of Cursor’s Cloud Agents more than another model option would. Teams can keep code, build outputs, secrets and terminal/browser actions on infrastructure they control, but the planning/inference loop remains a Cursor service and enterprise teams become responsible for worker images, scaling, secrets and production validation.

Supabase fixes broken client trace propagation and now preserves trace IDs even for unsampled requests

supabase-js 2.112.3 materially improves the tracing rollout BTN covered earlier: unsampled requests now still carry traceparent for backend log correlation, tracing misconfiguration produces warnings, and browser Edge Function calls need current CORS headers to admit W3C trace context.

TRACE gives AI agents a portable, hardware-attested runtime evidence format

TRACE targets a gap between audit promises and what an AI agent actually did at runtime. Its v0.2 developer preview can bind model, policy, data and tool-use claims to confidential-computing attestation, but it is still pre-ratification and explicitly not ready to treat as a production compliance guarantee.