This commit introduces API key generation for the Llama.cpp extension. The API key is now generated on the server side using HMAC-SHA256 and a secret key to ensure security and uniqueness. The frontend now passes the model ID and API secret to the server to generate the key. This addresses the requirement for secure model access and authorization.
@janhq/core
This module includes functions for communicating with core APIs, registering app extensions, and exporting type definitions.
Usage
Import the package
// Web / extension runtime
import * as core from '@janhq/core'
// Node runtime
import * as node from '@janhq/core/node'
Build an Extension
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Download an extension template, for example, https://github.com/menloresearch/extension-template.
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Update the source code:
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Open
index.tsin your code editor. -
Rename the extension class from
SampleExtensionto your preferred extension name. -
Import modules from the core package.
import * as core from '@janhq/core' -
In the
onLoad()method, add your code:// Example of listening to app events and providing customized inference logic: import * as core from '@janhq/core' export default class MyExtension extends BaseExtension { // On extension load onLoad() { core.events.on(MessageEvent.OnMessageSent, (data) => MyExtension.inference(data, this)) } // Customized inference logic private static inference(incomingMessage: MessageRequestData) { // Prepare customized message content const content: ThreadContent = { type: ContentType.Text, text: { value: "I'm Jan Assistant!", annotations: [], }, } // Modify message and send out const outGoingMessage: ThreadMessage = { ...incomingMessage, content, } } }
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Build the extension:
- Navigate to the extension directory.
- Install dependencies.
yarn install - Compile the source code. The following command keeps running in the terminal and rebuilds the extension when you modify the source code.
yarn build - Select the generated .tgz from Jan > Settings > Extension > Manual Installation.