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@core-ai/xai

v0.28.0

Published

xAI (Grok) provider package for @core-ai/core-ai

Readme

@core-ai/xai

npm

xAI (Grok) provider package for @core-ai/core-ai.

Installation

npm install @core-ai/core-ai @core-ai/xai zod

Usage

import { generate } from '@core-ai/core-ai';
import { createXAI } from '@core-ai/xai';

const xai = createXAI({
    apiKey: process.env.XAI_API_KEY,
});

const model = xai.chatModel('grok-4.7');

const result = await generate({
    model,
    messages: [{ role: 'user', content: 'Explain quantum tunneling briefly.' }],
});

console.log(result.content);

By default, requests go to https://api.x.ai/v1. Set baseURL to use a custom or regional endpoint.

Responses and Chat Completions

xai.chatModel() uses xAI's Responses API, the recommended API for Grok models. Requests are stateless: the provider sends store: false and round-trips encrypted reasoning content instead of relying on server-side conversation state.

xai.chat.chatModel() uses the legacy Chat Completions API.

Reasoning

| Model | Reasoning | Effort control | | -------------------------------------------------------------------------- | ------------- | ------------------------------ | | grok-4.7, grok-4.6, grok-4.5, grok-4.3 | Always on | low, medium, high, max | | grok-4.20-0309-reasoning, grok-4.20-multi-agent-0309, grok-build-0.1 | Always on | None | | grok-4.20-0309-non-reasoning | Not supported | None |

max is sent to xAI as xhigh. minimal is clamped to low. Models without effort control never receive an effort parameter.

Reasoning is preserved across turns when you pass resultToMessage(result) back in messages: as encrypted reasoning items on the Responses API, and as reasoning_content on Chat Completions.

Usage reporting

usage.outputTokens always includes reasoning tokens on both APIs. xAI's Chat Completions API reports reasoning tokens separately from completion_tokens; the provider adds them.

Structured output and tools

generateObject() and streamObject() use xAI's native json_schema structured output. Every Grok model supports strict tool schemas (strict: true on a tool) and accepts text and image input.

Provider options

Pass xAI-specific options via providerOptions.xai:

await generate({
    model: xai.chatModel('grok-4.7'),
    messages: [{ role: 'user', content: 'Hello' }],
    providerOptions: {
        xai: {
            promptCacheKey: 'conversation-42',
            parallelToolCalls: false,
        },
    },
});
  • Responses API: store, include, parallelToolCalls, user, promptCacheKey
  • Chat Completions API: parallelToolCalls, seed, user

Stop sequences and frequency/presence penalties are not available: xAI reasoning models reject them.

Not supported

Embeddings, image generation, and xAI's server-side tools (web search, X search, code execution, remote MCP) are not available through this package.