Azion AI Client module
The Azion AI Client library provides a simple interface to interact with the Azion AI API. This specialized AI has contextual knowledge about all Azion products, services, and technologies, allowing for precise and relevant responses about Azion Edge Computing Platform.
Go to Azion Libraries OverviewYou can interact with the API using a client
or calling the methods directly from the library. When making direct calls, you can use the environment variables to configure the client
without passing the token and debug parameters directly.
This is an example of how a .env
file with your environment variables may look like:
AZION_TOKEN=your-api-tokenAZION_DEBUG=true
Variable | Description |
---|---|
AZION_TOKEN | Your Azion API token. |
AZION_DEBUG | Enable debug mode (true/false). |
Usage
createClient
Creates an Azion AI client with methods to interact with AI services.
import { createClient, AzionAIClient } from '@azion/ai';
const client: AzionAIClient = createClient({ token: 'your-token-here', // Replace with your actual token options: { // Add any additional options here }});
Parameters:
Parameter | Type | Description |
---|---|---|
config | Partial<{ token: string; options?: AzionClientOptions }> | Optional configuration for the client. |
Returns:
Return Type | Description |
---|---|
AzionAIClient | A client object with methods to interact with AI services. |
chat
Sends a chat request to the Azion AI service.
TypeScript example:
import { chat } from 'azion/ai';import type { AzionAIRequest, AzionAIResponse, AzionAIResult } from '@azion/ai';
const request: AzionAIRequest = {messages: [{ role: 'user', content: 'Explain what Azion Edge Computing is.' }]};const { data: response, error }: AzionAIResult<AzionAIResponse> = await chat(request, { debug: true });if (response) {console.log('AI response:', response.choices[0].message.content);} else {console.error('Chat failed', error);}
Parameters:
Parameter | Type | Description |
---|---|---|
request: AzionAIRequest | Partial<{ token: string; options?: OptionsParams }> | Request object containing chat parameters. |
options AzionClientOptions | Partial<{ token: string; options?: OptionsParams }> | Additional client options. |
Returns:
Return Type | Description |
---|---|
Promise<AzionAIResult<AzionAIResponse>> | A promise that resolves to the chat result or an error. |
streamChat
Sends a streaming chat request to the Azion AI service.
TypeScript example:
import { streamChat } from 'azion/ai';import type { AzionAIRequest, AzionAIStreamResponse, AzionAIResult } from '@azion/ai';
const request: AzionAIRequest = {messages: [{ role: 'user', content: 'List 5 use cases for Azion Edge Functions.' }]};const stream = streamChat(request, { debug: true });for await (const chunk: AzionAIResult<AzionAIStreamResponse> of stream) {if (chunk.data) {process.stdout.write(chunk.data.choices[0].delta.content || '');} else {console.error('Error:', chunk.error);}}
Parameters:
Parameter | Type | Description |
---|---|---|
request: AzionAIRequest | Partial<{ token: string; options?: OptionsParams }> | Request object containing chat parameters. |
options AzionClientOptions | Partial<{ token: string; options?: OptionsParams }> | Additional client options. |
Returns:
Return Type | Description |
---|---|
AsyncGenerator<AzionAIResult<AzionAIStreamResponse>> | An async generator that produces partial chat results. |
Contributors