Chat SDK now supports Vercel Connect

UpdateJul 8, 2026VerifiedAdded Sep 22, 2026

You can now use Vercel Connect to manage credentials for your Chat SDK bots, with no tokens or signing secrets to store or rotate yourself. The new @vercel/connect/chat subpath provides adapter helpers for Slack, GitHub, and Linear. Each helper takes a connector UID and returns a config you spread into the matching adapter factory.

Security Data integration Developer tools

Read Vercel's release notes

https://vercel.com/changelog/chat-sdk-vercel-connect

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More Vercel platform releases

Vercel platformJul 8, 2026

Update Project Settings from the Vercel CLI

You can now update a project's framework preset and build settings directly from the CLI, without opening the dashboard. Run vercel project update from a linked project, or pass a project name directly: Settings can also be returned to automatic detection instead of an explicit override: For automation or further inspection, return the result as JSON: JSON...

UpdateAI agentsBIDeveloper toolsSource

Vercel platformJul 8, 2026

Vercel Microfrontends checks for missing configuration

The Microfrontends Config Present deployment check prevents broken production routing by blocking any default app deployment that is missing its microfrontends.json . This appears alongside other Native Deployment Checks , such as lint and typecheck. The check is blocking by default for eligible apps, with no opt-in required.

UpdateDeveloper toolsSource

Vercel platformJul 8, 2026

Flags SDK now evaluates flags 10x faster

Flags SDK and Vercel Flags now evaluate multiple feature flags in bulk around 10x faster. Flag evaluation time improved by reducing microtask queue overhead and creating fewer promises. The improvement scales with the number of flags.

UpdateDeveloper toolsPerformanceSource

Vercel platformJul 8, 2026

Use any Chat SDK adapter with eve

eve now supports Chat SDK adapters with the new Chat SDK channel . One channel connects your eve agent to Facebook Messenger, WhatsApp, Resend, Liveblocks, and any other surface with an adapter . You write normal Chat SDK handler code, and calling send inside a handler hands the message to your agent.

UpdateAI agentsDeveloper toolsSource

Vercel platformJul 8, 2026

Chat SDK adds Dial support

Chat SDK now supports Dial with the new vendor-official adapter . Build bots that send and receive SMS, MMS, and iMessage on a real phone number, with bidirectional media and inbound voice-call transcripts. Replies use the standard Chat SDK thread and message APIs, with HMAC-verified webhooks and stable per-conversation threading.

UpdateDeveloper toolsSource

Vercel platformJul 8, 2026

Chat SDK adds Photon support

Chat SDK now supports Photon with the new vendor-official adapter . Build bots that send and receive iMessages directly and in group chats, share media, and react with native tapbacks. Run the adapter against Spectrum Cloud, your own server, or directly on a Mac. Each Photon conversation becomes a Chat SDK thread, and tapbacks come through as reactions.

UpdateDeveloper toolsSource

Vercel platformJul 9, 2026

You can now deploy Lovable apps to Vercel

Vercel now supports Lovable applications with zero configuration. To get started, sync your Lovable project to GitHub , then import the repository to Vercel. Vercel automatically detects the framework ( TanStack Start ) and deploys your app. Once connected, every change you make in Lovable syncs to GitHub and triggers a new deployment on Vercel.

UpdateSource

Vercel platformJul 9, 2026

Build logs now redact Sensitive Environment Variable values

When an Environment Variable is marked Sensitive and has a value 32 characters or longer, Vercel now replaces it with [REDACTED] in the deployment's build logs. The Build Logs view also indicates when redaction happened, giving teams visibility into why output was masked without ever exposing the underlying value.

UpdateSecurityObservabilitySource

Also shipped on Jul 8, 2026

Databricks Databricks Data Intelligence PlatformJul 8, 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.

PreviewGovernanceSource

Databricks AI/BI and GenieJul 8, 2026

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.

PricingAI agentsLLMsPricingSource

Databricks Agent Bricks and Mosaic AIJul 8, 2026

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.

DeprecationLLMsSource

Databricks Agent Bricks and Mosaic AIJul 8, 2026

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.

DeprecationLLMsSource

Databricks Agent Bricks and Mosaic AIJul 8, 2026

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 .

PreviewGovernanceSecurityObservabilitySource

Databricks AI/BI and GenieJul 8, 2026

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.

PricingAI agentsLLMsPricingSource