4 Commits

Author SHA1 Message Date
9b38a3c06e 0.4.1 2025-02-25 13:01:23 +00:00
5dead05324 fix(provider): Fix provider modules for consistency 2025-02-25 13:01:23 +00:00
6916dd9e2a 0.4.0 2025-02-08 12:08:14 +01:00
f89888a542 feat(core): Added support for Exo AI provider 2025-02-08 12:08:14 +01:00
11 changed files with 4550 additions and 1275 deletions

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@ -1,5 +1,19 @@
# Changelog
## 2025-02-25 - 0.4.1 - fix(provider)
Fix provider modules for consistency
- Updated TypeScript interfaces and options in provider modules for better type safety.
- Modified transform stream handlers in Exo, Groq, and Ollama providers for consistency.
- Added optional model options to OpenAI provider for custom model usage.
## 2025-02-08 - 0.4.0 - feat(core)
Added support for Exo AI provider
- Introduced ExoProvider with chat functionalities.
- Updated SmartAi class to initialize ExoProvider.
- Extended Conversation class to support ExoProvider.
## 2025-02-05 - 0.3.3 - fix(documentation)
Update readme with detailed license and legal information.

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@ -1,6 +1,6 @@
{
"name": "@push.rocks/smartai",
"version": "0.3.3",
"version": "0.4.1",
"private": false,
"description": "A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.",
"main": "dist_ts/index.js",
@ -14,24 +14,24 @@
"buildDocs": "(tsdoc)"
},
"devDependencies": {
"@git.zone/tsbuild": "^2.1.84",
"@git.zone/tsbundle": "^2.0.5",
"@git.zone/tsrun": "^1.2.49",
"@git.zone/tstest": "^1.0.90",
"@push.rocks/qenv": "^6.0.5",
"@push.rocks/tapbundle": "^5.3.0",
"@types/node": "^22.5.5"
"@git.zone/tsbuild": "^2.2.1",
"@git.zone/tsbundle": "^2.2.5",
"@git.zone/tsrun": "^1.3.3",
"@git.zone/tstest": "^1.0.96",
"@push.rocks/qenv": "^6.1.0",
"@push.rocks/tapbundle": "^5.5.6",
"@types/node": "^22.13.5"
},
"dependencies": {
"@anthropic-ai/sdk": "^0.27.3",
"@push.rocks/smartarray": "^1.0.8",
"@push.rocks/smartfile": "^11.0.21",
"@anthropic-ai/sdk": "^0.37.0",
"@push.rocks/smartarray": "^1.1.0",
"@push.rocks/smartfile": "^11.2.0",
"@push.rocks/smartpath": "^5.0.18",
"@push.rocks/smartpdf": "^3.1.6",
"@push.rocks/smartpromise": "^4.0.4",
"@push.rocks/smartrequest": "^2.0.22",
"@push.rocks/smartpdf": "^3.1.8",
"@push.rocks/smartpromise": "^4.2.3",
"@push.rocks/smartrequest": "^2.0.23",
"@push.rocks/webstream": "^1.0.10",
"openai": "^4.62.1"
"openai": "^4.85.4"
},
"repository": {
"type": "git",

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pnpm-lock.yaml generated

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@ -110,6 +110,19 @@ SmartAi supports multiple AI providers. Configure each provider with its corresp
}
```
### Exo
- **Models:** Configurable (supports LLaMA, Mistral, LlaVA, Qwen, and Deepseek)
- **Features:** Chat, Streaming
- **Configuration Example:**
```typescript
exo: {
baseUrl: 'http://localhost:8080/v1', // Optional
apiKey: 'your-api-key' // Optional for local deployments
}
```
## Quick Start
Initialize SmartAi with the provider configurations you plan to use:
@ -126,6 +139,10 @@ const smartAi = new SmartAi({
ollama: {
baseUrl: 'http://localhost:11434',
model: 'llama2'
},
exo: {
baseUrl: 'http://localhost:8080/v1',
apiKey: 'your-api-key'
}
});

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@ -3,6 +3,6 @@
*/
export const commitinfo = {
name: '@push.rocks/smartai',
version: '0.3.3',
version: '0.4.1',
description: 'A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.'
}

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@ -48,6 +48,18 @@ export class Conversation {
return conversation;
}
public static async createWithExo(smartaiRefArg: SmartAi) {
if (!smartaiRefArg.exoProvider) {
throw new Error('Exo provider not available');
}
const conversation = new Conversation(smartaiRefArg, {
processFunction: async (input) => {
return '' // TODO implement proper streaming
}
});
return conversation;
}
public static async createWithOllama(smartaiRefArg: SmartAi) {
if (!smartaiRefArg.ollamaProvider) {
throw new Error('Ollama provider not available');
@ -60,6 +72,30 @@ export class Conversation {
return conversation;
}
public static async createWithGroq(smartaiRefArg: SmartAi) {
if (!smartaiRefArg.groqProvider) {
throw new Error('Groq provider not available');
}
const conversation = new Conversation(smartaiRefArg, {
processFunction: async (input) => {
return '' // TODO implement proper streaming
}
});
return conversation;
}
public static async createWithXai(smartaiRefArg: SmartAi) {
if (!smartaiRefArg.xaiProvider) {
throw new Error('XAI provider not available');
}
const conversation = new Conversation(smartaiRefArg, {
processFunction: async (input) => {
return '' // TODO implement proper streaming
}
});
return conversation;
}
// INSTANCE
smartaiRef: SmartAi
private systemMessage: string;

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@ -1,18 +1,32 @@
import { Conversation } from './classes.conversation.js';
import * as plugins from './plugins.js';
import { AnthropicProvider } from './provider.anthropic.js';
import type { OllamaProvider } from './provider.ollama.js';
import { OllamaProvider } from './provider.ollama.js';
import { OpenAiProvider } from './provider.openai.js';
import type { PerplexityProvider } from './provider.perplexity.js';
import { PerplexityProvider } from './provider.perplexity.js';
import { ExoProvider } from './provider.exo.js';
import { GroqProvider } from './provider.groq.js';
import { XAIProvider } from './provider.xai.js';
export interface ISmartAiOptions {
openaiToken?: string;
anthropicToken?: string;
perplexityToken?: string;
groqToken?: string;
xaiToken?: string;
exo?: {
baseUrl?: string;
apiKey?: string;
};
ollama?: {
baseUrl?: string;
model?: string;
visionModel?: string;
};
}
export type TProvider = 'openai' | 'anthropic' | 'perplexity' | 'ollama';
export type TProvider = 'openai' | 'anthropic' | 'perplexity' | 'ollama' | 'exo' | 'groq' | 'xai';
export class SmartAi {
public options: ISmartAiOptions;
@ -21,6 +35,9 @@ export class SmartAi {
public anthropicProvider: AnthropicProvider;
public perplexityProvider: PerplexityProvider;
public ollamaProvider: OllamaProvider;
public exoProvider: ExoProvider;
public groqProvider: GroqProvider;
public xaiProvider: XAIProvider;
constructor(optionsArg: ISmartAiOptions) {
this.options = optionsArg;
@ -37,6 +54,40 @@ export class SmartAi {
this.anthropicProvider = new AnthropicProvider({
anthropicToken: this.options.anthropicToken,
});
await this.anthropicProvider.start();
}
if (this.options.perplexityToken) {
this.perplexityProvider = new PerplexityProvider({
perplexityToken: this.options.perplexityToken,
});
await this.perplexityProvider.start();
}
if (this.options.groqToken) {
this.groqProvider = new GroqProvider({
groqToken: this.options.groqToken,
});
await this.groqProvider.start();
}
if (this.options.xaiToken) {
this.xaiProvider = new XAIProvider({
xaiToken: this.options.xaiToken,
});
await this.xaiProvider.start();
}
if (this.options.ollama) {
this.ollamaProvider = new OllamaProvider({
baseUrl: this.options.ollama.baseUrl,
model: this.options.ollama.model,
visionModel: this.options.ollama.visionModel,
});
await this.ollamaProvider.start();
}
if (this.options.exo) {
this.exoProvider = new ExoProvider({
exoBaseUrl: this.options.exo.baseUrl,
apiKey: this.options.exo.apiKey,
});
await this.exoProvider.start();
}
}
@ -47,6 +98,8 @@ export class SmartAi {
*/
createConversation(provider: TProvider) {
switch (provider) {
case 'exo':
return Conversation.createWithExo(this);
case 'openai':
return Conversation.createWithOpenAi(this);
case 'anthropic':
@ -55,6 +108,10 @@ export class SmartAi {
return Conversation.createWithPerplexity(this);
case 'ollama':
return Conversation.createWithOllama(this);
case 'groq':
return Conversation.createWithGroq(this);
case 'xai':
return Conversation.createWithXai(this);
default:
throw new Error('Provider not available');
}

128
ts/provider.exo.ts Normal file
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@ -0,0 +1,128 @@
import * as plugins from './plugins.js';
import * as paths from './paths.js';
import { MultiModalModel } from './abstract.classes.multimodal.js';
import type { ChatOptions, ChatResponse, ChatMessage } from './abstract.classes.multimodal.js';
import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
export interface IExoProviderOptions {
exoBaseUrl?: string;
apiKey?: string;
}
export class ExoProvider extends MultiModalModel {
private options: IExoProviderOptions;
public openAiApiClient: plugins.openai.default;
constructor(optionsArg: IExoProviderOptions = {}) {
super();
this.options = {
exoBaseUrl: 'http://localhost:8080/v1', // Default Exo API endpoint
...optionsArg
};
}
public async start() {
this.openAiApiClient = new plugins.openai.default({
apiKey: this.options.apiKey || 'not-needed', // Exo might not require an API key for local deployment
baseURL: this.options.exoBaseUrl,
});
}
public async stop() {}
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
// Create a TextDecoder to handle incoming chunks
const decoder = new TextDecoder();
let buffer = '';
let currentMessage: { role: string; content: string; } | null = null;
// Create a TransformStream to process the input
const transform = new TransformStream<Uint8Array, string>({
transform: async (chunk, controller) => {
buffer += decoder.decode(chunk, { stream: true });
// Try to parse complete JSON messages from the buffer
while (true) {
const newlineIndex = buffer.indexOf('\n');
if (newlineIndex === -1) break;
const line = buffer.slice(0, newlineIndex);
buffer = buffer.slice(newlineIndex + 1);
if (line.trim()) {
try {
const message = JSON.parse(line);
currentMessage = message;
// Process the message based on its type
if (message.type === 'message') {
const response = await this.chat({
systemMessage: '',
userMessage: message.content,
messageHistory: [{ role: message.role as 'user' | 'assistant' | 'system', content: message.content }]
});
controller.enqueue(JSON.stringify(response) + '\n');
}
} catch (error) {
console.error('Error processing message:', error);
}
}
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
currentMessage = message;
} catch (error) {
console.error('Error processing remaining buffer:', error);
}
}
}
});
return input.pipeThrough(transform);
}
public async chat(options: ChatOptions): Promise<ChatResponse> {
const messages: ChatCompletionMessageParam[] = [
{ role: 'system', content: options.systemMessage },
...options.messageHistory,
{ role: 'user', content: options.userMessage }
];
try {
const response = await this.openAiApiClient.chat.completions.create({
model: 'local-model', // Exo uses local models
messages: messages,
stream: false
});
return {
role: 'assistant',
message: response.choices[0]?.message?.content || ''
};
} catch (error) {
console.error('Error in chat completion:', error);
throw error;
}
}
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
throw new Error('Audio generation is not supported by Exo provider');
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
throw new Error('Vision processing is not supported by Exo provider');
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }> {
throw new Error('Document processing is not supported by Exo provider');
}
}

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@ -32,7 +32,7 @@ export class GroqProvider extends MultiModalModel {
// Create a TransformStream to process the input
const transform = new TransformStream<Uint8Array, string>({
async transform(chunk, controller) {
transform: async (chunk, controller) => {
buffer += decoder.decode(chunk, { stream: true });
// Try to parse complete JSON messages from the buffer

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@ -45,7 +45,7 @@ export class OllamaProvider extends MultiModalModel {
// Create a TransformStream to process the input
const transform = new TransformStream<Uint8Array, string>({
async transform(chunk, controller) {
transform: async (chunk, controller) => {
buffer += decoder.decode(chunk, { stream: true });
// Try to parse complete JSON messages from the buffer

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@ -1,10 +1,20 @@
import * as plugins from './plugins.js';
import * as paths from './paths.js';
// Custom type definition for chat completion messages
export type TChatCompletionRequestMessage = {
role: "system" | "user" | "assistant";
content: string;
};
import { MultiModalModel } from './abstract.classes.multimodal.js';
export interface IOpenaiProviderOptions {
openaiToken: string;
chatModel?: string;
audioModel?: string;
visionModel?: string;
// Optionally add more model options (e.g., documentModel) if needed.
}
export class OpenAiProvider extends MultiModalModel {
@ -31,11 +41,14 @@ export class OpenAiProvider extends MultiModalModel {
// Create a TextDecoder to handle incoming chunks
const decoder = new TextDecoder();
let buffer = '';
let currentMessage: { role: string; content: string; } | null = null;
let currentMessage: {
role: "function" | "user" | "system" | "assistant" | "tool" | "developer";
content: string;
} | null = null;
// Create a TransformStream to process the input
const transform = new TransformStream<Uint8Array, string>({
async transform(chunk, controller) {
transform: async (chunk, controller) => {
buffer += decoder.decode(chunk, { stream: true });
// Try to parse complete JSON messages from the buffer
@ -50,7 +63,7 @@ export class OpenAiProvider extends MultiModalModel {
try {
const message = JSON.parse(line);
currentMessage = {
role: message.role || 'user',
role: (message.role || 'user') as "function" | "user" | "system" | "assistant" | "tool" | "developer",
content: message.content || '',
};
} catch (e) {
@ -61,9 +74,11 @@ export class OpenAiProvider extends MultiModalModel {
// If we have a complete message, send it to OpenAI
if (currentMessage) {
const messageToSend = { role: "user" as const, content: currentMessage.content };
const stream = await this.openAiApiClient.chat.completions.create({
model: 'gpt-4',
messages: [{ role: currentMessage.role, content: currentMessage.content }],
model: this.options.chatModel ?? 'o3-mini',
temperature: 0,
messages: [messageToSend],
stream: true,
});
@ -105,8 +120,8 @@ export class OpenAiProvider extends MultiModalModel {
}[];
}) {
const result = await this.openAiApiClient.chat.completions.create({
model: 'gpt-4o',
model: this.options.chatModel ?? 'o3-mini',
temperature: 0,
messages: [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory,
@ -122,7 +137,7 @@ export class OpenAiProvider extends MultiModalModel {
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
const done = plugins.smartpromise.defer<NodeJS.ReadableStream>();
const result = await this.openAiApiClient.audio.speech.create({
model: 'tts-1-hd',
model: this.options.audioModel ?? 'o3-mini',
input: optionsArg.message,
voice: 'nova',
response_format: 'mp3',
@ -163,8 +178,8 @@ export class OpenAiProvider extends MultiModalModel {
);
const result = await this.openAiApiClient.chat.completions.create({
model: 'gpt-4o',
// response_format: { type: "json_object" }, // not supported for now
model: this.options.chatModel ?? 'o3-mini',
temperature: 0,
messages: [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory,
@ -195,7 +210,8 @@ export class OpenAiProvider extends MultiModalModel {
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
const result = await this.openAiApiClient.chat.completions.create({
model: 'gpt-4-vision-preview',
model: this.options.visionModel ?? 'o3-mini',
temperature: 0,
messages: [
{
role: 'user',
@ -215,4 +231,4 @@ export class OpenAiProvider extends MultiModalModel {
return result.choices[0].message.content || '';
}
}
}