Releasesby GlyphAnthropic 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.
Also shipped Jul 8, 2026Databricks in July 2026 →
External search with AlloyDB now supports Apache Solr in Preview
External search with AlloyDB now supports Apache Solr in Preview . You can use the external_search_fdw extension to connect to a Solr cluster and query its data directly from your database.
Grok 4.1 models deprecation
The Grok 4.1 model family (including xai/grok-4.1-fast-reasoning and xai/grok-4.1-fast-non-reasoning ) on the Gemini Enterprise Agent Platform is deprecated and will be shut down on August 20, 2026. After this date, Google Agent Platform Model as a Service (MaaS) will no longer serve these models.
Memory Bank IngestEvents is generally available (GA)
The Memory Bank IngestEvents API is generally available. The IngestEvents API decouples event ingestion from memory generation, letting you continuously stream content to Memory Bank and configure when memory generation is triggered.
Innersource security advisories are generally available
GitHub Advanced Security enterprise customers can now publish internal security advisories. Innersource advisories work similarly to GitHub’s open source advisories, but their visibility is restricted to repositories owned by the enterprise.
Deploy managed Copilot settings via MDM in VS Code and CLI
Enterprise administrators can now deliver managed GitHub Copilot settings directly to devices through native mobile device management (MDM) and file-based configuration, in addition to the existing server-managed channel. This is generally available for GitHub Copilot CLI and VS Code.
GitHub Copilot in Visual Studio Code, June 2026 releases
This changelog covers VS Code v1.123 through v1.127 , shipped throughout June and early July 2026. The latest VS Code releases build on the Copilot experience developers use every day, making it easier to manage agent work, understand usage, choose the right models, and stay in the flow.
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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.
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 .
Protobuf tensor input for custom model serving endpoints (Public Preview)
For custom model serving endpoints with a tensor-based input signature, you can now send the request body as a serialized KServe v2 ModelInferRequest with Content-Type: application/x-protobuf , instead of JSON. This feature is in Public Preview and is only available on endpoints deployed after July 9, 2026. See Protobuf tensor input .
OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models
Model Serving now supports OpenAI GPT-5.6 Sol , GPT-5.6 Terra , and GPT-5.6 Luna as Databricks-hosted models. You can access these models using Foundation Model APIs pay-per-token . Customers are responsible for ensuring their compliance with applicable terms .
Databricks-provided MCP Services will GA soon
Databricks-provided MCP Services for SaaS applications such as Slack, GitHub, Atlassian, and Google Drive will soon be generally available, with both read and write operations enabled by default. Admins and users can disable MCP Services and individual tools in Unity Gateway . See Connect agents to tools with MCP Services .
Google Gemini 3.1 Flash Image and Gemini 3 Pro Image now available as Databricks-hosted models
Model Serving now supports Google Gemini 3.1 Flash Image and Gemini 3 Pro Image as Databricks-hosted models. You can access these models using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
MLflow trace storage in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled
MLflow trace storage in Unity Catalog tables will be available by default for workspaces with the compliance security profile enabled in mid-August 2026. Store MLflow traces in Unity Catalog tables for scalable, governed trace storage: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and...
MLflow trace storage in Unity Catalog is now generally available
MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI...