vercel · Vercel AI SDK Docs
AI SDK Foundations: Providers and Models
Explains the relationship between providers and models within the AI SDK, detailing how to configure specific model providers to access different large language models.
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Files assembled from official documentation
Viewing SKILL.md
AI SDK Foundations: Providers and Models
Explains the relationship between providers and models within the AI SDK, detailing how to configure specific model providers to access different large language models.
When To Use
Use when you need to configure a specific model provider or understand how to switch between different LLM providers within an AI SDK implementation.
Reference Files
| File | Contains | Use For |
|---|---|---|
SKILL.md | Entry point: scope, routing table, and workflow. | Start here. |
docs/ai-sdk-foundations-providers-and-models-workflow-guide.md | A guide explaining the differences between AI SDK providers, self-hosted models, and various model capabilities. | Questions about a guide explaining the differences between AI SDK providers, self-hosted models, and various model capabilities. |
What This Skill Covers
- Companies such as OpenAI and Anthropic (providers) offer access to a range of large language models (LLMs) with differing strengths and capabilities through...
- Main sections:
AI SDK Providers,Self-Hosted Models,Model Capabilities.
Workflow
- Open the most relevant file under
docs/for the exact documented workflow and wording. - Open
schemas/files for exact structured contracts. - Open
examples/files for concrete requests, commands, snippets, and manifests. - Do not add behavior or configuration that is not present in the attached source files.
Canonical source: https://ai-sdk.dev/docs/foundations/providers-and-models