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feature(ai): adds initial integration
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| @@ -0,0 +1,110 @@ | ||
| // @ts-check | ||
| /** | ||
| * @module AI | ||
| * | ||
| * Provides high level classes for common AI tasks | ||
| * | ||
| * Example usage: | ||
| * ```js | ||
| * import { LLM } from 'socket:ai' | ||
| * ``` | ||
| */ | ||
| import ipc from './ipc.js' | ||
| import gc from './gc.js' | ||
| import { EventEmitter } from './events.js' | ||
| import { rand64 } from './crypto.js' | ||
| import * as exports from './ai.js' | ||
|
|
||
| /** | ||
| * A class to interact with large language models (using llama.cpp) | ||
| * @extends EventEmitter | ||
| */ | ||
| export class LLM extends EventEmitter { | ||
| /** | ||
| * Constructs an LLM instance. | ||
| * @param {Object} options - The options for initializing the LLM. | ||
| * @param {string} options.path - The path to a valid model (.gguf). | ||
| * @param {string} options.prompt - The query that guides the model to generate a relevant and coherent responses. | ||
| * @param {string} [options.id] - The optional ID for the LLM instance. | ||
| * @throws {Error} If the model path is not provided. | ||
| */ | ||
| constructor (options = {}) { | ||
| super() | ||
|
|
||
| if (!options.path) { | ||
| throw new Error('expected a path to a valid model (.gguf)') | ||
| } | ||
|
|
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| this.path = options.path | ||
| this.prompt = options.prompt | ||
| this.id = options.id || rand64() | ||
|
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| const opts = { | ||
| id: this.id, | ||
| prompt: this.prompt, | ||
| path: this.path | ||
| } | ||
|
|
||
| globalThis.addEventListener('data', ({ detail }) => { | ||
| const { err, data, source } = detail.params | ||
|
|
||
| if (err && BigInt(err.id) === this.id) { | ||
| return this.emit('error', err) | ||
| } | ||
|
|
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| if (!data || BigInt(data.id) !== this.id) return | ||
|
|
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| if (source === 'ai.llm.chat') { | ||
| if (data.complete) { | ||
| return this.emit('end') | ||
| } | ||
|
|
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| this.emit('data', data.token) | ||
| } | ||
| }) | ||
|
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| const result = ipc.sendSync('ai.llm.create', opts) | ||
|
|
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| if (result.err) { | ||
| throw result.err | ||
| } | ||
| } | ||
|
|
||
| /** | ||
| * Tell the LLM to stop after the next token. | ||
| * @returns {Promise<void>} A promise that resolves when the LLM stops. | ||
| */ | ||
| async stop () { | ||
| return ipc.request('ai.llm.stop', { id: this.id }) | ||
| } | ||
|
|
||
| /** | ||
| * Implements `gc.finalizer` for gc'd resource cleanup. | ||
| * @param {Object} options - The options for finalizer. | ||
| * @returns {gc.Finalizer} The finalizer object. | ||
| * @ignore | ||
| */ | ||
| [gc.finalizer] (options) { | ||
| return { | ||
| args: [this.id, options], | ||
| async handle (id) { | ||
| if (process.env.DEBUG) { | ||
| console.warn('Closing Socket on garbage collection') | ||
| } | ||
|
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| await ipc.request('ai.llm.destroy', { id }, options) | ||
| } | ||
| } | ||
| } | ||
|
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| /** | ||
| * Send a message to the chat. | ||
| * @param {string} message - The message to send to the chat. | ||
| * @returns {Promise<any>} A promise that resolves with the response from the chat. | ||
| */ | ||
| async chat (message) { | ||
| return ipc.request('ai.llm.chat', { id: this.id, message }) | ||
| } | ||
| } | ||
|
|
||
| export default exports | ||
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