Vercel
Dev Platform
Frontend deployment platform, Next.js creator, AI SDK.
Recent activity
-
Introducing the new Vercel Agent
Today we're expanding Vercel Agent . It started by triaging alerts and reviewing your pull requests. Now it has a home in your dashboard, where it can investigate production, answer questions about your projects, and take action once you approve it. Because Vercel Agent is built into the platform that deploys and runs your app, when something changes in production, it's your first responder. It autonomously investigates your logs, metrics, and deployments, finds the root cause, and propo
Read more → -
How Searchable ships customer-requested features in 30 minutes on Vercel
Searchable on Vercel 5x increase in development velocity 100+ billion tokens processed Customer-requested features shipped in as little as 30 minutes Zero model SDK implementation or API key rotation with AI Gateway Searchable helps brands track and improve how they appear across AI search engines like ChatGPT, Perplexity, and Claude, pairing visibility analytics with an agent that guides users on what to do next. The Searchable team builds on Vercel's AI SDK and AI Gateway to test new model
Read more → -
Service tiers now available on AI Gateway
AI Gateway now supports service tiering. Service tiers let you optimize for latency, throughput, and cost per request to match your use case. Pick a faster tier for interactive workloads (less queueing, higher token throughput), or a lower cost tier for background jobs that can tolerate more latency. At launch, service tiering is available for OpenAI and Gemini models. Service tiers work across every AI Gateway API format: AI SDK , Chat Completions API , Anthropic Messages API , OpenAI Responses
Read more → -
Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway
Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway. Gemini 3.6 Flash improves quality across coding, agentic tasks, and web development while consuming fewer tokens and making fewer model calls. It produces cleaner web and app development output. Gemini 3.5 Flash Lite upgrades the agentic capabilities of the Flash-Lite tier, making it a good fit for subagents that handle scoped parts of a larger task. To use them, set model to google/gemini-3.6-flash or google/gemini-3.5-
Read more → -
Laguna S 2.1 is now available on AI Gateway
Laguna S 2.1 from Poolside is now available on AI Gateway. There are 2 versions of the model available: Free version (256K context window): poolside/laguna-s-2.1-free Paid version (1M context window): poolside/laguna-s-2.1 Laguna S 2.1 is an open-weight Mixture-of-Experts model that supports a context window of up to 1M tokens and runs in thinking and no-thinking modes. The model specializes in agentic coding and long-running tasks, including writing and debugging code, running tests, building b
Read more → -
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 only after you confirm. When an exact price isn't available, it links to the relevant pricing or billing page. Purchases require a team ro
Read more → -
Vercel Connect adds 90+ preset connectors
Vercel Connect now includes preset connectors for 90+ services, including Shopify, Okta, Workday, Jira, and Sanity. 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. Unlike managed connectors, preset connectors don't register your app with the external service for you. Add a connector Select a preset from the connectors directory in the Vercel dashboard. Review the pre-
Read more → -
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 . When Python imports a module without cached bytecode, it parses and compiles the source before executing it. That compilation step adds startup time for functions with large dependency trees. Vercel now compiles both application code and dependencies and includes the resulting .pyc files in the function bundle, so the interpreter skips compilati
Read more → -
Purge your Remote Cache's build and CI artifacts
Team Owners can now clear the team's Remote Cache of all artifacts in one click. This is useful when you believe there are poisoned artifacts in your cache. In your team's Build and Deployment settings, visit the Remote Caching section and clear the Remote Cache. Visit the docs to learn more. Read more
Read more → -
Configure where run state lives in Vercel Workflows
Vercel Workflows now keeps each run's state, queue dispatch, and output streams in a single home region: the region where the run starts by default, or any target region you choose. A run keeps its home region for its lifetime, so for agents built on Workflows, the whole loop stays near the user: an agent serving someone in Sydney executes, checkpoints its progress, and streams output from Sydney. During a regional incident, workflow traffic fails over to the next closest region. To get star
Read more →