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update-provider-models更新提供商模型

Agent Skill

update-provider-models 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,744

周安装

111

GitHub Stars

23,886

下载量

861
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:update-provider-models(更新提供商模型)
来源仓库:https://github.com/vercel/ai
仓库路径:skills/update-provider-models
安装命令:
npx skills add https://github.com/vercel/ai --skill update-provider-models
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vercel/ai --skill update-provider-models

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。
  • update-provider-models 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Update Provider Model IDs

This skill covers adding new model IDs and removing obsolete ones across the AI SDK codebase. Each workflow uses search to discover all locations that need changes.

You may be asked to add or remove a single model ID, or to process a list of multiple model ID changes from an issue. For each model ID, follow the appropriate workflow:

  • If a new model ID is being added, follow the <adding-new-model> workflow.
  • If an obsolete model ID is being removed, follow the <removing-obsolete-model> workflow.

Critical Rules

  • Exact matching: Model IDs are often substrings of others (e.g. grok-3 vs grok-3-mini). Always verify each search result is the exact model, not a substring match.
  • Respect sort order: When inserting into any list (type unions, table rows, arrays), observe the existing order and place the new entry accordingly.
  • File naming for examples: Use kebab-case with hyphens replacing dots (e.g. gpt-5.4-codexgpt-5-4-codex.ts).
  • Sequential processing: When handling multiple models, complete the full workflow for one model before starting the next.
  • Affected providers: New model IDs always need to be added to the primary provider package and the AI Gateway. There may be additional affected packages (e.g. Bedrock, Vertex, OpenAI-compatible) if the model is available there or referenced in tests/docs.
  • Never make unrelated changes: Only update model IDs and related references. Don't modify any other code, text, or formatting in the files you edit.
  • Never modify CHANGELOG.md files of packages/codemod: Changelog files are historical records, codemods are migration scripts. Do not edit either when updating model IDs.

Workflow for Adding a New Model ID

Step 1: Identify Scope

Determine:

  • Provider name (e.g. anthropic, openai, google, xai)
  • Exact model ID string (e.g. claude-haiku-4-5-20260218, gemini-3.1-pro, gpt-5.4-codex)
  • Model type: chat, embedding, image, etc.
  • Whether this is a new version of an existing older model, or even the stable version of an existing preview or experimental model
  • Whether any provider packages other than the primary one and the AI Gateway need to be updated (e.g. Bedrock, Vertex, OpenAI-compatible)

- If a similar model ID is listed in one of those other provider packages, the new model ID should likely be added there as well. Check the provider's documentation for clues on availability.

Step 2: Find Where Similar Models Are Referenced

Search for a similar existing model from the same provider (e.g. a lower version, or the preview version being replaced) across packages/, content/, and examples/. This reveals all locations that need updates.

# Search quoted occurrences to find all reference locations
grep -r "'<similar-model-id>'" packages/ content/ examples/ --include='*.ts' --include='*.mdx' --include='*.md'
grep -r '"<similar-model-id>"' packages/ content/ examples/ --include='*.ts' --include='*.mdx' --include='*.md'

Step 3: Update Type Definitions

For each relevant packages file found, add the new model ID to the type union (and const arrays if present), respecting existing sort order.

Examples of common locations for model ID type definitions:

  • packages/<provider>/src/*-options.ts — the primary provider package
  • packages/gateway/src/gateway-language-model-settings.ts — the AI Gateway package
  • packages/amazon-bedrock/src/**/*-options.ts — if the model is available on Amazon Bedrock
  • packages/google-vertex/src/*-options.ts — if the model is available on Google Vertex

This is NOT an exhaustive list — the search in Step 2 may reveal other files with model ID references that need updating as well.

Never replace a model ID here. Only add the new model ID. Replacing references to an older or preview model ID is only relevant in documentation and examples.

Example type union addition:

export type SomeModelId =
  | 'existing-model-a'
  | 'new-model-id' // ← add in sorted position
  | 'existing-model-b'
  | (string & {});

Example const array addition:

export const reasoningModelIds = [
  'existing-model-a',
  'new-model-id', // ← add in sorted position
  'existing-model-b',
] as const;

Step 4: Update Documentation

For each .mdx file found in content/, add or update entries:

  • Capability tables: Add a row for the new model in the correct position with the appropriate capability checks (<Check size={18} /> or <Cross size={18} />).
  • Inline code examples: If replacing a preview/older model as the recommended one, update code snippets like const model = provider('old-model') to use the new model.
  • "Latest" descriptions: Update text like "Latest model with enhanced reasoning" to reference the new model.

If you found the similar model ID referenced in a specific package's README.md file, update the model ID in those code examples as well.

Step 5: Create or Update Examples

If the new model replaces an older one: Find existing examples using the old model and update them to use the new model ID.

If purely new with no predecessor: Create new example files, one file per top-level function that is relevant for the new model (e.g. generateText, streamText, generateImage). For example, if it's a new language model, you would create files like:

  • examples/ai-functions/src/generate-text/<provider>/<model-kebab>.ts
  • examples/ai-functions/src/stream-text/<provider>/<model-kebab>.ts

Or if it's a new image model, you might create:

  • examples/ai-functions/src/generate-image/<provider>/<model-kebab>.ts

Look for existing example files for the provider in the same folder, to use as a reference for your new example files.

In your search for the similar model ID, you may have found examples in which the model ID is part of a list of models (e.g. in an array of options for a test or example). In that case, add the new model ID to the same list in the example file, respecting sort order.

Step 6: Update Tests

Where reasonable, replace references to the older or preview model with the new model in test files, especially if the new model is now the recommended one.

Exception: Do not replace model IDs in fixtures or snapshots, or tests that use those fixtures or snapshots, as those are meant to be stable and reflect actual API responses captured.

Step 7: Run Tests

pnpm --filter @ai-sdk/<provider> test
pnpm --filter @ai-sdk/gateway test

Also run tests for any other affected packages:

pnpm --filter @ai-sdk/openai-compatible test  # if snapshots/tests were updated
pnpm --filter @ai-sdk/amazon-bedrock test     # if Bedrock options were updated
pnpm --filter @ai-sdk/google-vertex test      # if Vertex options were updated

Workflow for Removing an Obsolete Model ID

Step 1: Identify Successor

Determine which model replaces the removed one in examples, tests, and docs. This is relevant for updating references.

If there is no obvious successor, you should leave old references in place in examples, docs, and tests.

Step 2: Find All Exact Occurrences

Search for the model ID with quotes to avoid substring false positives:

# Single-quoted (TypeScript source, type unions)
grep -r "'<model-id>'" packages/ content/ examples/ --include='*.ts' --include='*.mdx' --include='*.md' --include='*.snap'

# Double-quoted (JSON in snapshots, test fixtures with embedded JSON, docs)
grep -r '"<model-id>"' packages/ content/ examples/ --include='*.ts' --include='*.mdx' --include='*.md' --include='*.snap'

Manually verify each result is the exact model and not a substring match (e.g. searching 'grok-3' must not match 'grok-3-mini').

Step 3: Remove from Type Definitions

Remove the | 'model-id' line from union types and entries from const arrays in *-options.ts files.

Step 4: Update Documentation

  • Remove rows from capability tables in .mdx files.
  • Replace inline code examples and descriptions referencing the removed model with the successor.
  • Update community provider docs in content/providers/03-community-providers/.

Step 5: Update Examples

  • Replace the removed model with the successor in example files that use it directly.
  • Remove from model lists in examples.
  • Delete dedicated example files only if no unique feature is demonstrated beyond the model itself (e.g. if the file is named after the model).

Step 6: Update Tests and Snapshots

  • Replace the model ID with the successor in *.test.ts files.
  • Replace the model ID in __snapshots__/*.snap files — model IDs appear in serialized JSON strings.
  • Replace in embedded JSON strings within test fixtures (e.g. "model":"old-model""model":"new-model").
  • Update examples/ai-functions/src/e2e/*.test.ts — remove from model arrays or replace.
  • Update packages/<provider>/README.md if it contains code examples.

Step 7: Run Tests

pnpm --filter @ai-sdk/<provider> test

Also run tests for any other affected packages (same as Workflow A Step 7).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.22%
按下载量换算286

Claude

31.03%
按下载量换算267

Cursor

18.67%
按下载量换算161

Gemini CLI

10.19%
按下载量换算88

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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