📁 ai-sdk/docs/reference/ai-sdk-core
File: ai-sdk-core.md | Updated: 11/15/2025
Source: https://ai-sdk.dev/docs/reference/ai-sdk-core
Menu
v5 (Latest)
AI SDK 5.x
Model Context Protocol (MCP) Tools
Experimental_StdioMCPTransport
Copy markdown
=========================================================================
AI SDK Core is a set of functions that allow you to interact with language models and other AI models. These functions are designed to be easy-to-use and flexible, allowing you to generate text, structured data, and embeddings from language models and other AI models.
AI SDK Core contains the following main functions:
generateText()
Generate text and call tools from a language model.
streamText()
Stream text and call tools from a language model.
generateObject()
Generate structured data from a language model.
streamObject()
Stream structured data from a language model.
embed()
Generate an embedding for a single value using an embedding model.
embedMany()
Generate embeddings for several values using an embedding model (batch embedding).
experimental_generateImage()
Generate images based on a given prompt using an image model.
experimental_transcribe()
Generate a transcript from an audio file.
experimental_generateSpeech()
Generate speech audio from text.
It also contains the following helper functions:
tool()
Type inference helper function for tools.
experimental_createMCPClient()
Creates a client for connecting to MCP servers.
jsonSchema()
Creates AI SDK compatible JSON schema objects.
zodSchema()
Creates AI SDK compatible Zod schema objects.
createProviderRegistry()
Creates a registry for using models from multiple providers.
cosineSimilarity()
Calculates the cosine similarity between two vectors, e.g. embeddings.
simulateReadableStream()
Creates a ReadableStream that emits values with configurable delays.
wrapLanguageModel()
Wraps a language model with middleware.
extractReasoningMiddleware()
Extracts reasoning from the generated text and exposes it as a `reasoning` property on the result.
simulateStreamingMiddleware()
Simulates streaming behavior with responses from non-streaming language models.
defaultSettingsMiddleware()
Applies default settings to a language model.
smoothStream()
Smooths text streaming output.
generateId()
Helper function for generating unique IDs
createIdGenerator()
Creates an ID generator
On this page
Deploy and Scale AI Apps with Vercel.
Vercel delivers the infrastructure and developer experience you need to ship reliable AI-powered applications at scale.
Trusted by industry leaders:
- OpenAI
- Photoroom
📁 Children
Directory listing - 34 item(s) total (page 3 of 3)