AI Briefing#vercel
The latest AI and developer news about #vercel, with the original source and a short summary.
The latest AI and developer news about #vercel, with the original source and a short summary.
The credit applies to featured open-weight models on AI Gateway, including Kimi K3, Kimi K3.1 Pro, GLM 5.3, GLM 5.3 Flash, and DeepSeek V4.1 Flash.
Upgrading @vercel/otel to 2.3.0 enables automatic trace export for Node.js daemons using a provided Unix socket.
The feature automatically triggers vulnerability checks on code pushes in repositories not yet linked to a Vercel project.
Vercel has increased the build cache size limit to 5 GB on all build machines, allowing projects to save more dependencies and framework files for reuse.
Regional caching of image data reduces startup latency for sandboxes outside the Washington, D.C. region, with measured improvements up to 75% in Paris.
The feature keeps tokens outside the sandbox while allowing coding agents to install dependencies from private registries like GitHub Packages and JFrog Artifactory.
The default universal image will switch from Python 3.14 to 3.15 on December 16, 2026.
The update applies all settings supported by vercel project update without a confirmation prompt, requiring a Pro or Enterprise plan.
The update introduces AES-256-GCM encryption, regional deployment for reduced cross-region latency, and a rewritten engine that reduces step-to-step overhead from 618 ms to 109 ms.
The guide uses a coffee-ordering API example to show how to define tasks, run trials in Vercel Sandboxes, and analyze traces to fix agent failures.
The tool supports macOS, Windows, and Linux by reading OS accessibility APIs to return JSON structures with unique refs for agent interaction, avoiding pixel-based screen matching.
The model features a 1M-token context window for complex software engineering and cybersecurity tasks, with a 50% price reduction ending November 30, 2026.
Snapshot restore speed also improved by 50% to 250ms at p50 through a more efficient VHS format that enables parallel operations.
Upgrading to [email protected] replaces per-write HTTP requests with a single WebSocket connection, reducing latency and costs for multi-step workflows.
The update applies automatically to all plans and build machine types at no additional charge.
The model supports long unattended tasks and orchestrates smaller models, but requires 30-day data retention and rejects Zero Data Retention requests.
The model supports text, image, and video inputs with adjustable reasoning effort and is accessible via AI SDK, Chat Completions, Responses, and Anthropic Messages APIs.
The model features a 1M-token context window and is available in public preview without waitrooms or session limits.
The model uses caller-defined tools to decide whether to send a message or pass, supporting group chat dynamics.
The new --delete-project-after flag supports durations of 1h, 1d, 1w, 2w, and 30d for new projects only.
The new Traces page supports KQL search and live streaming, while retention increases to 3 days for Hobby and 14 days for Pro and Enterprise plans.
The partnership covers public repositories and code registries, while a separate scanner checks monthly Common Crawl datasets for additional leaks.
The new feature supports both static and dynamic schedules via JS SDK, CLI, or API, allowing real-time task management for agents and applications.
The model supports reasoning, tool calling, and image input, with the first Hy vision capability for reading complex charts and computer use in CLI and GUI environments.