Vercel AI CLI adds models command

// 1d agoPRODUCT UPDATE

Vercel AI CLI adds models command

Vercel Labs has introduced a new feature to its command-line tool, ai-cli, enabling developers to run `ai models [model]` to retrieve comprehensive metadata about specific AI models directly from the terminal. The returned information includes capabilities, context window sizes, pricing, and provider metadata, with support for `--json` output to facilitate easy scripting and automation.

// ANALYSIS

The addition of model metadata lookup and JSON output options transforms the Vercel AI CLI from a simple playground helper into a robust scripting utility for multi-model workflows.

–Improved developer ergonomics: Getting instant information on capabilities, context lengths, and pricing prevents developers from needing to search online documentation.
–Scriptability: The `--json` flag makes it simple to integrate model statistics into build pipelines and custom local tools.
–Provider-agnostic unified view: It surfaces pricing and provider metadata uniformly, aligning with Vercel's goal of abstracting away specific model integrations.

// TAGS

vercel-ai-clivercelcliaidevtool

DISCOVERED

1d ago

2026-07-02

PUBLISHED

1d ago

2026-07-02

RELEVANCE

6/ 10

AUTHOR

ctatedev

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE12m ago

Apple iOS 27 drops local Siri

iOS 27 is launching this September, with the public beta scheduled to drop in a matter of days. The headline feature is a major update to Siri, which will run on Apple's on-device large language model to handle complex, multi-step tasks locally without sending data to the cloud.

NEWS51m ago

Developer disables Claude Code Artifacts over costs

A developer disabled the Artifacts feature in Claude Code after experiencing unexpected automated executions and high token costs. They opted to use custom subagents to generate presentations in Markdown or HTML instead.

NEWS1h ago

Palantir releases AI sovereignty manifesto

Palantir has published a nine-point manifesto advocating for AI sovereignty, advising enterprises to keep control of their model weights and proprietary data. The manifesto critiques the metered, per-token billing models of frontier AI labs, warning against "tokenmaxxing" and emphasizing the importance of hosting models on sovereign infrastructure to prevent vendor lock-in and ensure security.