Releasesby GlyphEmail Threading with Message-ID
All email webhooks and GET email endpoints now include the Message-ID.
Also shipped Jul 8, 2026Resend in July 2026 →
Object metadata column is now in Public Preview
The _object_metadata column is now in Public Preview. The _object_metadata column is a hidden metadata column that exposes object-level properties for objects in cloud storage, including MIME type, ETag, user-defined key-value metadata, system-defined metadata, and object tags. It is available starting from Databricks Runtime 18.1.
Genie products now use pay-as-you-go pricing
Starting July 8, 2026 at 00:00 UTC, Genie products, including Genie Agents , Genie Code , and Genie One , are billed following a pay-as-you-go pricing model that includes 150 Databricks units (DBUs) of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East region.
Google Gemini 2.5 Flash and Pro are scheduled for retirement
Google Gemini 2.5 Flash and Gemini 2.5 Pro will be retired on October 2, 2026. The recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.
Anthropic Claude Sonnet 4 is scheduled for retirement
Anthropic Claude Sonnet 4 will be retired on October 9, 2026. Claude Sonnet 4.6 is the recommended replacement. See Deprecated and retired models for migration guidance.
Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
You can now use Unity Catalog permissions to restrict which task-specific AI Functions your organization can access, independent of foundation model access. Contact your account team to enable this feature. See AI Functions Unity Catalog permissions .
Genie Agents now uses pay-as-you-go pricing
Starting July 8, 2026 at 00:00 UTC, Genie Agents is billed following a pay-as-you-go pricing model that includes 150 DBUs of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East region. Usage beyond the free amount is billed in DBUs, reflecting the underlying LLM models and agents that power each Genie Agents session.
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