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Inkling 2 Small now available on AI Gateway

Inkling 2 Small, a multimodal reasoning model supporting coding agents, visual understanding, and professional knowledge work, is now available on AI Gateway. It accepts text and image inputs and produces text output, enabling extended coding tasks, tool use for information gathering, document generation, and visual analysis including reading text in images, interpreting charts, and inspecting interfaces. The model can be used via the Vercel CLI with the identifier 'thinkingmachines/inkling-2-small' and integrated into tools like Claude Code, Codex, and Cursor. AI Gateway offers a unified API with features such as usage tracking, cost monitoring, retry configurations, failover, performance optimization, custom reporting, Zero Data Retention, budget controls, and routing rules. Pricing reflects provider rates with no markup or platform fees, including for Bring Your Own Key requests.

Workflow SDK 5: built for production

Vercel's Workflow SDK 5 introduces end-to-end encryption for workflow payloads, regional data residency for improved latency and reliability, and significant performance enhancements including fewer queue hops, incremental replay, and WebSocket streaming. The update supports secure, durable workflows across multiple regions, enables zero-configuration encryption on Vercel, and delivers up to 25× faster execution in benchmarks. It also adds features like searchable run attributes, in-flight cancellation, and expanded framework integrations, with a Python SDK now in beta.

WTF are evals? How to test agents and the software they use

Agents interact with software through a funnel similar to humans: Discovery, Selection, Access, and Success. To measure whether agents complete user tasks correctly, end-to-end (E2E) evaluations are essential. These evaluations assess the full sequence of steps an agent takes, ensuring outcomes meet user requirements. Using frameworks like Harbor, developers can design tasks with defined environments, verifiers, and known-good solutions, then run trials across variants to measure success rate, pass@k, pass^k, efficiency, time, and cost. Analyzing traces reveals root causes of failures, enabling targeted improvements. Iterative evaluation helps catch regressions, test changes, and guide product development, turning evaluations into ongoing infrastructure for building better agent-driven products.

Gemini Decision 1 now available on AI Gateway

Google's Gemini Decision 1, a multimodal decision model supporting text, images, audio, video, and PDFs, is now accessible via AI Gateway. It provides Boolean probabilities, choices, and scores for tasks like request routing, policy checks, tool filtering, and result ranking without generating output tokens. Supported through the AI SDK, TypeSafe-compatible API, and Decisions API, with PDF, audio, and video inputs available in AI SDK 7. Decision calls are logged and counted toward budgets alongside other model requests.

Wake me up when AI can...

Article URL: https://stoppels.ch/2026/10/03/wake-me-up-when-ai-can.html Comments URL: https://news.ycombinator.com/item?id=50440657 Points: 26 # Comments: 7

Claude Fable 5.2 now available on AI Gateway

Claude Fable 5.2, designed for open-ended technical tasks, is now available on AI Gateway with improved coding, reasoning, and vision capabilities. It operates as an orchestrator or advisor, supports model fallbacks for cybersecurity classifier rejections, requires data retention (no Zero Data Retention), and can be accessed via the AI SDK, APIs, or integrated tools like Claude Code and Cursor. AI Gateway offers unified API access, cost tracking, failover options, and pricing transparency without markup.

Workflow SDK now writes over WebSockets on Vercel

The Vercel Workflow SDK has updated to send event writes and stream writes over WebSocket by default starting with version 5.2.0, eliminating the need for one HTTP request per write. This change improves performance, reduces costs, and enables faster AI token streaming—demonstrated by a 4.2× speed improvement in benchmarks. No code changes are required beyond upgrading to workflow@5.2.0 or later. Existing streaming code remains compatible, and in-flight workflows continue on their original deployment. Users should consult the upgrade guide if migrating from version 4.x.

Copilot code review: API management and review overview updates

You can now manage GitHub Copilot code review settings through the REST and GraphQL APIs, from enterprise policy down to individual repositories. Copilot’s review overview comment is now more compact,… The post Copilot code review: API management and review overview updates appeared first on The GitHub Blog.

DeepSeek V4.1 Flash 1017 Ultrafast now available on AI Gateway

DeepSeek V4.1 Flash 1017 Ultrafast, offering over 1,000 tokens per second, is now available via Fireworks' accelerated serverless endpoint on Vercel's AI Gateway. The model features a 1M-token context window and is optimized for interactive coding, reasoning, and agentic workflows. It is in public preview with no waitroom or session time limits. Developers can use it by specifying the model name in their code or through tools like Claude Code, Codex, and Cursor after setting up the latest Vercel CLI. AI Gateway provides unified API access, usage tracking, cost management, and performance optimizations without markup or platform fees.

Gemini Omni 1.2 Flash now available on AI Gateway

Google's Gemini Omni 1.2 Flash is now accessible via AI Gateway, enabling users to generate 3–15 second videos from text prompts using a single API key without needing a separate Google account. The model supports video generation with native audio, editing clips using up to six reference images, extending videos by 3–10 seconds per call (up to 30 seconds total), and refining outputs via previousInteractionId. Output resolutions include 360p, 720p, 1080p, and 4K in 16:9 or 9:16 aspect ratios. Videos can be retrieved via generateText or streamText in the AI SDK as MP4 files. AI Gateway offers unified API access, usage tracking, cost monitoring, retry configurations, failover, performance optimization, custom reporting, Zero Data Retention, budget controls, and routing rules, reflecting provider pricing with no markup or platform fees, including for BYOK requests.

Introducing Vercel Schedules

Vercel Schedules enables applications and agents to create, modify, or cancel one-time and recurring tasks dynamically through code without redeployment. It supports both static schedules defined in configuration files and dynamic schedules managed via SDK, CLI, or API during runtime. The service integrates with Vercel Queues to trigger tasks at specified times, allowing apps to handle work like data cleanup or AI-driven summaries securely and efficiently. Users can test schedules in preview environments before production, and the feature is now available in Public Beta.

Vercel Security Review now in public beta

Vercel Security Review is now available in public beta for Pro and Enterprise teams, automatically scanning code pushes to connected GitHub repositories for vulnerabilities. Reviews trigger on every push, including direct and force pushes, and findings are reported in a dashboard with details like project, environment, branch, commit, summary, suggested fix, and AI-generated severity. Findings appear as GitHub checks or review comments, and users can fix issues via Vercel Agent or CLI. Teams can set security policies for context, but the tool does not perform runtime or penetration testing. Pricing follows Vercel Agent rates, with free access until November 10, 2026.

Diagnose Vercel CLI setup problems with vercel doctor

The Vercel CLI now includes the vercel doctor command, which diagnoses setup issues by checking CLI version and installation, login status, team affiliation, project linking, vercel.json configuration, and active incidents from the Vercel status page. It reports results as OK, Warning, Failed, or Skipped, and provides specific fix commands. The tool runs without requiring login or project linkage and supports JSON output via --json for integration with coding agents.

Tencent Hy4 now available on AI Gateway

Hy4, Tencent's latest AI model with vision capabilities, is now available on Vercel's AI Gateway at 50% off through December 31, 2026. It supports reasoning, tool calling, structured outputs, image input, and a 1M-token context window. Hy4 excels in detailed image analysis, complex chart reading, and computer use across command-line and graphical interfaces. It outperforms its preview version in instruction following, long-context handling, and deep research tasks. Users can access it via the model name 'tencent/hy4' in supported tools like Claude Code, Codex, and Cursor after setting up the Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, and performance optimizations with no markup or platform fees.

Blocking malicious npm packages before and during installation

Vercel now proactively checks for and blocks malicious npm packages before and during dependency installation in builds using a dynamic blocklist, preventing harmful scripts from executing. The system scans supported lockfiles and public npm downloads, automatically failing deployments if a blocked package is detected, identifying the problematic package and version, and attempting to invalidate the build cache. Users must update to a safe dependency version and regenerate the lockfile before redeploying. These security measures apply automatically to all plans without requiring configuration.

Simplifying runtime caching on Vercel

Vercel is merging its Data Cache service into Runtime Cache, unifying data caching across frameworks like Next.js, SvelteKit, and Nuxt. Developers using fetch caching or unstable_cache in Next.js won’t need to change their code. Pro and Enterprise projects receive increased storage allocations, with Pro getting 8x more space and Enterprise 10x. Runtime Cache now handles regional storage, authentication, and tag-based invalidation across Vercel’s global infrastructure. Improvements include faster reads during traffic bursts via circuit breakers, higher storage budgets reducing evictions, and enhanced observability with deployment markers, revalidation causes, and write utilization metrics. The migration simplifies billing and usage tools, with existing teams receiving advance notice and pricing details.

The fx adapter now runs the harness on the host

The fx adapter for the AI SDK’s HarnessAgent now uses libfx, enabling the harness and model requests to run in the application’s process while keeping filesystem and shell operations isolated in a sandbox. This update simplifies setup by eliminating the need to install fx in the sandbox, run a bridge, or expose a port. Model credentials remain on the host. New features include built-in tool filtering, mid-turn steering, structured output, image tool results via toModelOutput(), and session resumption across host processes. Update @ai-sdk/harness-fx to the latest version to access these improvements.