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@ai-sdk/anthropic

The [Anthropic](https://www.anthropic.com/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post). It creates language model

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Vercel AI SDK - Anthropic Provider

The Anthropic provider for the Vercel AI SDK contains language model support for the Anthropic Messages API. It creates language model objects that can be used with the generateText, streamText and generateObject AI functions.

Note: The Anthropic API does not support streaming tool calls.

Setup

The Anthropic provider is available in the @ai-sdk/anthropic module. You can install it with

npm i @ai-sdk/anthropic

Provider Instance

You can import the default provider instance anthropic from @ai-sdk/anthropic:

import { anthropic } from '@ai-sdk/anthropic';

If you need a customized setup, you can import createAnthropic from @ai-sdk/anthropic and create a provider instance with your settings:

import { createAnthropic } from '@ai-sdk/anthropic';

const anthropic = createAnthropic({
  // custom settings
});

You can use the following optional settings to customize the Google Generative AI provider instance:

  • baseURL string

    Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is https://api.anthropic.com/v1.

  • apiKey string

    API key that is being send using the x-api-key header. It defaults to the ANTHROPIC_API_KEY environment variable.

  • headers Record<string,string>

    Custom headers to include in the requests.

Models

You can create models that call the Anthropic Messages API using the provider instance. The first argument is the model id, e.g. claude-3-haiku-20240307. Some models have multi-modal capabilities.

const model = anthropic('claude-3-haiku-20240307');

Anthropic Messages` models support also some model specific settings that are not part of the standard call settings. You can pass them as an options argument:

const model = anthropic('claude-3-haiku-20240307', {
  topK: 0.2,
});

The following optional settings are available for Anthropic models:

  • topK number

    Only sample from the top K options for each subsequent token.

    Used to remove "long tail" low probability responses. Recommended for advanced use cases only. You usually only need to use temperature.

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Package last updated on 14 May 2024

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