Releasesby GlyphWebSocket support is now available for Python Functions
Vercel now supports WebSocket connections for Python applications. WebSockets enable bidirectional communication between client- and server-side code, powering real-time features like interactive AI streaming, real-time chat, and multiplayer live collaboration.
Also shipped Jul 23, 2026Vercel in July 2026 →
SQL environment variable and private Git package support for dbt Projects on Snowflake
Environment variable support for dbt Projects on Snowflake is now generally available. Manage per-developer schemas, dynamic runtime values, secrets, and multiple environments in a single, Git-versioned env.yml file that Snowflake resolves before each run.
SERVICE_AGENT user type (General availability)
With this release, the SERVICE_AGENT user type is generally available. Use this user type for automated AI agents that interact with Snowflake using their own identity and privileges.
SHOW CORTEX BASE MODELS command (General availability)
With this release, we are pleased to announce the general availability of the SHOW CORTEX BASE MODELS command. Use this command to list the Cortex Base Models available in your account, along with each model’s lifecycle status, regional availability, legacy date, and end-of-life date.
C++ SDK for the Zerobus Ingest connector is now available in Beta
A C++ SDK for the Zerobus Ingest connector in Lakeflow Connect is now available in Beta. The SDK provides a high-throughput gRPC client for ingesting records directly into Unity Catalog Delta tables, with support for JSON and Protocol Buffers. See Use Zerobus Ingest .
Genie Code scheduled tasks are in Beta
You can now schedule Genie Code to run a prompt on a recurring schedule. Each run executes your prompt as a full Genie Code session and produces a continuable Genie chat with the results, so you can turn recurring analysis into an unattended background task. Create a scheduled task by asking Genie Code in chat or by filling in the create form manually.
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available (GA), powered by Apache Spark 4.2.0. For release notes, see Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning .
More from Vercel platformEvery Vercel platform release →
Evaluation metrics for Vercel Flags
Vercel Flags now shows a live evaluation view on each flag's detail page. You can see evaluations per minute charted over time, with each flag version marked in the chart so you can tie evaluation shifts to specific configuration changes. You can group and filter evaluations by variant, reason, environment, SDK key, client, and reporting project.
Inspect feature flag history with Vercel CLI
Vercel Flags version history can now be inspected from the Vercel CLI with the new vercel flags versions command. Run vercel flags versions to print the full revision history for a flag, with each revision's author, message, timestamp, and changed environments.
GitHub tools are now an installable eve extension
You can now add GitHub tools to your eve agent as an extension. Add the package, drop one file in agent/extensions/ , and your agent gets every tool with Vercel Connect auth, presets, and approval rules built in.
Vercel MCP can now deploy code
The Vercel MCP server can now deploy code directly to a new or existing project. When your AI assistant finishes building something, it can ship it to Vercel and hand back a shareable URL without leaving the chat. Point the deploy_to_vercel tool at your files and Vercel creates the project, detects the framework, installs dependencies, and builds.
Vercel WAF for Blob is now in beta
The Vercel WAF can now protect a Vercel Blob store. The same rules that guard your deployments (deny, challenge, rate limit) now apply to blob traffic with no changes to your code, blob URLs, or @vercel/blob . Every blob is already served through Vercel's CDN , so protection is a switch on the store, not a new proxy.
Python function bundles now include precompiled bytecode
Vercel now compiles Python functions to bytecode at build time. In our benchmarks, cold starts for the median-sized function dropped from 2.8s to 1.3s . Cold starts are already rare in practice.
Vercel Connect adds 100+ preset connectors
Vercel Connect now includes preset connectors for 100+ services, including Shopify, Resend, Sanity, Okta, Workday, and Jira. Preset connectors are predefined configurations for supported services. They reduce manual setup by pre-populating the brand name, icon, auth type, and MCP or discovery URL.
Vercel MCP now supports purchases
Vercel MCP now supports purchasing Vercel products. You can: Upgrade your team to the Pro plan Add prepaid credits for v0 (requires a paid v0 plan) or AI Gateway Purchase the SIEM add-on (requires an Enterprise plan) Purchase and register a domain Vercel MCP quotes the price, explains whether the charge is one-time or recurring, and completes the purchase...