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@aigne/xai


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NPM Version
Elastic-2.0 licensed

AIGNE XAI SDK for integrating with XAI language models and API services within the AIGNE Framework.

Introduction#

@aigne/xai provides a seamless integration between the AIGNE Framework and XAI's language models and API services. This package enables developers to easily leverage XAI's models in their AIGNE applications, providing a consistent interface across the framework while taking advantage of XAI's advanced AI capabilities.

Features#

  • XAI API Integration: Direct connection to XAI's API services
  • Chat Completions: Support for XAI's chat completions API with all available models
  • Function Calling: Built-in support for function calling capabilities
  • Streaming Responses: Support for streaming responses for more responsive applications
  • Type-Safe: Comprehensive TypeScript typings for all APIs and models
  • Consistent Interface: Compatible with the AIGNE Framework's model interface
  • Error Handling: Robust error handling and retry mechanisms
  • Full Configuration: Extensive configuration options for fine-tuning behavior

Installation#

Using npm#

npm install @aigne/xai @aigne/core

Using yarn#

yarn add @aigne/xai @aigne/core

Using pnpm#

pnpm add @aigne/xai @aigne/core

Basic Usage#

import { XAIChatModel } from "@aigne/xai";

const model = new XAIChatModel({
// Provide API key directly or use environment variable XAI_API_KEY
apiKey: "your-api-key", // Optional if set in env variables
// Specify model (defaults to 'grok-2-latest')
model: "grok-2-latest",
modelOptions: {
temperature: 0.8,
},
});

const result = await model.invoke({
messages: [{ role: "user", content: "Tell me about yourself" }],
});

console.log(result);
/* Output:
{
text: "I'm Grok, an AI assistant from X.AI. I'm here to assist with a touch of humor and wit!",
model: "grok-2-latest",
usage: {
inputTokens: 6,
outputTokens: 17
}
}
*/

Streaming Responses#

import { XAIChatModel } from "@aigne/xai";

const model = new XAIChatModel({
apiKey: "your-api-key",
model: "grok-2-latest",
});

const stream = await model.invoke(
{
messages: [{ role: "user", content: "Tell me about yourself" }],
},
undefined,
{ streaming: true },
);

let fullText = "";
const json = {};

for await (const chunk of stream) {
const text = chunk.delta.text?.text;
if (text) fullText += text;
if (chunk.delta.json) Object.assign(json, chunk.delta.json);
}

console.log(fullText); // Output: "I'm Grok, an AI assistant from X.AI. I'm here to assist with a touch of humor and wit!"
console.log(json); // { model: "grok-2-latest", usage: { inputTokens: 6, outputTokens: 17 } }

License#

Elastic-2.0

Classes#

XAIChatModel#

Implementation of the ChatModel interface for X.AI's API (Grok)

This model uses OpenAI-compatible API format to interact with X.AI models, providing access to models like Grok.

Default model: 'grok-2-latest'

Examples#

Here's how to create and use an X.AI chat model:

const model = new XAIChatModel({
// Provide API key directly or use environment variable XAI_API_KEY
apiKey: "your-api-key", // Optional if set in env variables
// Specify model (defaults to 'grok-2-latest')
model: "grok-2-latest",
modelOptions: {
temperature: 0.8,
},
});

const result = await model.invoke({
messages: [{ role: "user", content: "Tell me about yourself" }],
});

console.log(result);
/* Output:
{
text: "I'm Grok, an AI assistant from X.AI. I'm here to assist with a touch of humor and wit!",
model: "grok-2-latest",
usage: {
inputTokens: 6,
outputTokens: 17
}
}
*/

Here's an example with streaming response:

const model = new XAIChatModel({
apiKey: "your-api-key",
model: "grok-2-latest",
});

const stream = await model.invoke(
{
messages: [{ role: "user", content: "Tell me about yourself" }],
},
{ streaming: true },
);

let fullText = "";
const json = {};

for await (const chunk of stream) {
const text = chunk.delta.text?.text;
if (text) fullText += text;
if (chunk.delta.json) Object.assign(json, chunk.delta.json);
}

console.log(fullText); // Output: "I'm Grok, an AI assistant from X.AI. I'm here to assist with a touch of humor and wit!"
console.log(json); // { model: "grok-2-latest", usage: { inputTokens: 6, outputTokens: 17 } }

Extends#

  • OpenAIChatModel

Indexable#

[key: symbol]: () => string | () => Promise<void>

Constructors#

Constructor#

new XAIChatModel(options?): XAIChatModel

Parameters#

Parameter

Type

options?

OpenAIChatModelOptions

Returns#

XAIChatModel

Overrides#

OpenAIChatModel.constructor

Properties#

apiKeyEnvName#

protected apiKeyEnvName: string = "XAI_API_KEY"

Overrides#

OpenAIChatModel.apiKeyEnvName

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