36 Commits

Author SHA1 Message Date
Juergen Kunz
0b2a058550 fix(core): improve SmartPdf lifecycle management and update dependencies
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2025-08-01 18:25:46 +00:00
Juergen Kunz
88d15c89e5 0.5.6
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2025-07-26 16:17:11 +00:00
Juergen Kunz
4bf7113334 feat(documentation): comprehensive documentation enhancement and test improvements
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2025-07-25 18:00:23 +00:00
6bdbeae144 0.5.4 2025-05-13 18:39:58 +00:00
09c27379cb fix(provider.openai): Update dependency versions, clean test imports, and adjust default OpenAI model configurations 2025-05-13 18:39:57 +00:00
2bc6f7ee5e 0.5.3 2025-04-03 21:46:40 +00:00
0ac50d647d fix(package.json): Add explicit packageManager field to package.json 2025-04-03 21:46:40 +00:00
5f9ffc7356 0.5.2 2025-04-03 21:46:15 +00:00
502b665224 fix(readme): Remove redundant conclusion section from README to streamline documentation. 2025-04-03 21:46:14 +00:00
bda0d7ed7e 0.5.1 2025-02-25 19:15:32 +00:00
de2a60d12f fix(OpenAiProvider): Corrected audio model ID in OpenAiProvider 2025-02-25 19:15:32 +00:00
5b3a93a43a 0.5.0 2025-02-25 19:04:40 +00:00
6b241f8889 feat(documentation and configuration): Enhanced package and README documentation 2025-02-25 19:04:40 +00:00
0a80ac0a8a 0.4.2 2025-02-25 18:23:28 +00:00
6ce442354e fix(core): Fix OpenAI chat streaming and PDF document processing logic. 2025-02-25 18:23:28 +00:00
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
d93b198b09 0.3.3 2025-02-05 14:24:34 +01:00
9e390d0fdb fix(documentation): Update readme with detailed license and legal information. 2025-02-05 14:24:34 +01:00
8329ee861e 0.3.2 2025-02-05 14:22:41 +01:00
b8585a0afb fix(documentation): Remove redundant badges from readme 2025-02-05 14:22:41 +01:00
c96f5118cf 0.3.1 2025-02-05 14:21:27 +01:00
17e1a1f1e1 fix(documentation): Updated README structure and added detailed usage examples 2025-02-05 14:21:26 +01:00
de940dff75 0.3.0 2025-02-05 14:09:07 +01:00
4fc1e029e4 feat(integration-xai): Add support for X.AI provider with chat and document processing capabilities. 2025-02-05 14:09:06 +01:00
d0a4151a2b 0.2.0 2025-02-03 17:48:37 +01:00
ad5dd4799b feat(provider.anthropic): Add support for vision and document processing in Anthropic provider 2025-02-03 17:48:36 +01:00
1c49af74ac 0.1.0 2025-02-03 15:26:00 +01:00
eda8ce36df feat(providers): Add vision and document processing capabilities to providers 2025-02-03 15:26:00 +01:00
e82c510094 0.0.19 2025-02-03 15:16:59 +01:00
0378308721 fix(core): Enhanced chat streaming and error handling across providers 2025-02-03 15:16:58 +01:00
189a32683f 0.0.18 2024-09-19 12:56:35 +02:00
f731b9f78d fix(dependencies): Update dependencies to the latest versions. 2024-09-19 12:56:35 +02:00
3701e21284 update description 2024-05-29 14:11:41 +02:00
18 changed files with 9159 additions and 2256 deletions

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# Changelog
## 2025-08-01 - 0.5.8 - fix(core)
Fix SmartPdf lifecycle management and update dependencies
- Moved SmartPdf instance management to the MultiModalModel base class for better resource sharing
- Fixed memory leaks by properly implementing cleanup in the base class stop() method
- Updated SmartAi class to properly stop all providers on shutdown
- Updated @push.rocks/smartrequest from v2.1.0 to v4.2.1 with migration to new API
- Enhanced readme with professional documentation and feature matrix
## 2025-07-26 - 0.5.7 - fix(provider.openai)
Fix stream type mismatch in audio method
- Fixed type error where OpenAI SDK returns a web ReadableStream but the audio method needs to return a Node.js ReadableStream
- Added conversion using Node.js's built-in Readable.fromWeb() method
## 2025-07-25 - 0.5.5 - feat(documentation)
Comprehensive documentation enhancement and test improvements
- Completely rewrote readme.md with detailed provider comparisons, advanced usage examples, and performance tips
- Added comprehensive examples for all supported providers (OpenAI, Anthropic, Perplexity, Groq, XAI, Ollama, Exo)
- Included detailed sections on chat interactions, streaming, TTS, vision processing, and document analysis
- Added verbose flag to test script for better debugging
## 2025-05-13 - 0.5.4 - fix(provider.openai)
Update dependency versions, clean test imports, and adjust default OpenAI model configurations
- Bump dependency versions in package.json (@git.zone/tsbuild, @push.rocks/tapbundle, openai, etc.)
- Change default chatModel from 'gpt-4o' to 'o4-mini' and visionModel from 'gpt-4o' to '04-mini' in provider.openai.ts
- Remove unused 'expectAsync' import from test file
## 2025-04-03 - 0.5.3 - fix(package.json)
Add explicit packageManager field to package.json
- Include the packageManager property to specify the pnpm version and checksum.
- Align package metadata with current standards.
## 2025-04-03 - 0.5.2 - fix(readme)
Remove redundant conclusion section from README to streamline documentation.
- Eliminated the conclusion block describing SmartAi's capabilities and documentation pointers.
## 2025-02-25 - 0.5.1 - fix(OpenAiProvider)
Corrected audio model ID in OpenAiProvider
- Fixed audio model identifier from 'o3-mini' to 'tts-1-hd' in the OpenAiProvider's audio method.
- Addressed minor code formatting issues in test suite for better readability.
- Corrected spelling errors in test documentation and comments.
## 2025-02-25 - 0.5.0 - feat(documentation and configuration)
Enhanced package and README documentation
- Expanded the package description to better reflect the library's capabilities.
- Improved README with detailed usage examples for initialization, chat interactions, streaming chat, audio generation, document analysis, and vision processing.
- Provided error handling strategies and advanced streaming customization examples.
## 2025-02-25 - 0.4.2 - fix(core)
Fix OpenAI chat streaming and PDF document processing logic.
- Updated OpenAI chat streaming to handle new async iterable format.
- Improved PDF document processing by filtering out empty image buffers.
- Removed unsupported temperature options from OpenAI requests.
## 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.
- Added explicit section on License and Legal Information in the README.
- Clarified the use of trademarks and company information.
## 2025-02-05 - 0.3.2 - fix(documentation)
Remove redundant badges from readme
- Removed Build Status badge from the readme file.
- Removed License badge from the readme file.
## 2025-02-05 - 0.3.1 - fix(documentation)
Updated README structure and added detailed usage examples
- Introduced a Table of Contents
- Included comprehensive sections for chat, streaming chat, audio generation, document processing, and vision processing
- Added example code and detailed configuration steps for supported AI providers
- Clarified the development setup with instructions for running tests and building the project
## 2025-02-05 - 0.3.0 - feat(integration-xai)
Add support for X.AI provider with chat and document processing capabilities.
- Introduced XAIProvider class for integrating X.AI features.
- Implemented chat streaming and synchronous chat for X.AI.
- Enabled document processing capabilities with PDF conversion in X.AI.
## 2025-02-03 - 0.2.0 - feat(provider.anthropic)
Add support for vision and document processing in Anthropic provider
- Implemented vision tasks for Anthropic provider using Claude-3-opus-20240229 model.
- Implemented document processing for Anthropic provider, supporting conversion of PDF documents to images and analysis with Claude-3-opus-20240229 model.
- Updated documentation to reflect the new capabilities of the Anthropic provider.
## 2025-02-03 - 0.1.0 - feat(providers)
Add vision and document processing capabilities to providers
- OpenAI and Ollama providers now support vision tasks using GPT-4 Vision and Llava models respectively.
- Document processing has been implemented for OpenAI and Ollama providers, converting PDFs to images for analysis.
- Introduced abstract methods for vision and document processing in the MultiModalModel class.
- Updated the readme file with examples for vision and document processing.
## 2025-02-03 - 0.0.19 - fix(core)
Enhanced chat streaming and error handling across providers
- Refactored chatStream method to properly handle input streams and processes in Perplexity, OpenAI, Ollama, and Anthropic providers.
- Improved error handling and message parsing in chatStream implementations.
- Defined distinct interfaces for chat options, messages, and responses.
- Adjusted the test logic in test/test.ts for the new classification response requirement.
## 2024-09-19 - 0.0.18 - fix(dependencies)
Update dependencies to the latest versions.
- Updated @git.zone/tsbuild from ^2.1.76 to ^2.1.84
- Updated @git.zone/tsrun from ^1.2.46 to ^1.2.49
- Updated @push.rocks/tapbundle from ^5.0.23 to ^5.3.0
- Updated @types/node from ^20.12.12 to ^22.5.5
- Updated @anthropic-ai/sdk from ^0.21.0 to ^0.27.3
- Updated @push.rocks/smartfile from ^11.0.14 to ^11.0.21
- Updated @push.rocks/smartpromise from ^4.0.3 to ^4.0.4
- Updated @push.rocks/webstream from ^1.0.8 to ^1.0.10
- Updated openai from ^4.47.1 to ^4.62.1
## 2024-05-29 - 0.0.17 - Documentation
Updated project description.
- Improved project description for clarity and details.
## 2024-05-17 - 0.0.16 to 0.0.15 - Core
Fixes and updates.
- Various core updates and fixes for stability improvements.
## 2024-04-29 - 0.0.14 to 0.0.13 - Core
Fixes and updates.
- Multiple core updates and fixes for enhanced functionality.
## 2024-04-29 - 0.0.12 - Core
Fixes and updates.
- Core update and bug fixes.
## 2024-04-29 - 0.0.11 - Provider
Fix integration for anthropic provider.
- Correction in the integration process with anthropic provider for better compatibility.
## 2024-04-27 - 0.0.10 to 0.0.9 - Core
Fixes and updates.
- Updates and fixes to core components.
- Updated tsconfig for improved TypeScript configuration.
## 2024-04-01 - 0.0.8 to 0.0.7 - Core and npmextra
Core updates and npmextra configuration.
- Core fixes and updates.
- Updates to npmextra.json for githost configuration.
## 2024-03-31 - 0.0.6 to 0.0.2 - Core
Initial core updates and fixes.
- Multiple updates and fixes to core following initial versions.
This summarizes the relevant updates and changes based on the provided commit messages. The changelog excludes commits that are version tags without meaningful content or repeated entries.

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Copyright (c) 2024 Task Venture Capital GmbH (hello@task.vc)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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@@ -5,20 +5,33 @@
"githost": "code.foss.global", "githost": "code.foss.global",
"gitscope": "push.rocks", "gitscope": "push.rocks",
"gitrepo": "smartai", "gitrepo": "smartai",
"description": "A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.", "description": "SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.",
"npmPackagename": "@push.rocks/smartai", "npmPackagename": "@push.rocks/smartai",
"license": "MIT", "license": "MIT",
"projectDomain": "push.rocks", "projectDomain": "push.rocks",
"keywords": [ "keywords": [
"AI integration", "AI integration",
"chatbot",
"TypeScript", "TypeScript",
"chatbot",
"OpenAI", "OpenAI",
"Anthropic", "Anthropic",
"multi-model support", "multi-model",
"audio responses", "audio generation",
"text-to-speech", "text-to-speech",
"streaming chat" "document processing",
"vision processing",
"streaming chat",
"API",
"multiple providers",
"AI models",
"synchronous chat",
"asynchronous chat",
"real-time interaction",
"content analysis",
"image description",
"document classification",
"AI toolkit",
"provider switching"
] ]
} }
}, },

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@@ -1,46 +1,46 @@
{ {
"name": "@push.rocks/smartai", "name": "@push.rocks/smartai",
"version": "0.0.17", "version": "0.5.8",
"private": false, "private": false,
"description": "A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.", "description": "SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.",
"main": "dist_ts/index.js", "main": "dist_ts/index.js",
"typings": "dist_ts/index.d.ts", "typings": "dist_ts/index.d.ts",
"type": "module", "type": "module",
"author": "Task Venture Capital GmbH", "author": "Task Venture Capital GmbH",
"license": "MIT", "license": "MIT",
"scripts": { "scripts": {
"test": "(tstest test/ --web)", "test": "(tstest test/ --web --verbose)",
"build": "(tsbuild --web --allowimplicitany)", "build": "(tsbuild --web --allowimplicitany)",
"buildDocs": "(tsdoc)" "buildDocs": "(tsdoc)"
}, },
"devDependencies": { "devDependencies": {
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"@git.zone/tsrun": "^1.2.46", "@git.zone/tsrun": "^1.3.3",
"@git.zone/tstest": "^1.0.90", "@git.zone/tstest": "^2.3.2",
"@push.rocks/qenv": "^6.0.5", "@push.rocks/qenv": "^6.1.0",
"@push.rocks/tapbundle": "^5.0.23", "@push.rocks/tapbundle": "^6.0.3",
"@types/node": "^20.12.12" "@types/node": "^22.15.17"
}, },
"dependencies": { "dependencies": {
"@anthropic-ai/sdk": "^0.21.0", "@anthropic-ai/sdk": "^0.57.0",
"@push.rocks/smartarray": "^1.0.8", "@push.rocks/smartarray": "^1.1.0",
"@push.rocks/smartfile": "^11.0.14", "@push.rocks/smartfile": "^11.2.5",
"@push.rocks/smartpath": "^5.0.18", "@push.rocks/smartpath": "^6.0.0",
"@push.rocks/smartpdf": "^3.1.6", "@push.rocks/smartpdf": "^3.3.0",
"@push.rocks/smartpromise": "^4.0.3", "@push.rocks/smartpromise": "^4.2.3",
"@push.rocks/smartrequest": "^2.0.22", "@push.rocks/smartrequest": "^4.2.1",
"@push.rocks/webstream": "^1.0.8", "@push.rocks/webstream": "^1.0.10",
"openai": "^4.47.1" "openai": "^5.11.0"
}, },
"repository": { "repository": {
"type": "git", "type": "git",
"url": "git+https://code.foss.global/push.rocks/smartai.git" "url": "https://code.foss.global/push.rocks/smartai.git"
}, },
"bugs": { "bugs": {
"url": "https://code.foss.global/push.rocks/smartai/issues" "url": "https://code.foss.global/push.rocks/smartai/issues"
}, },
"homepage": "https://code.foss.global/push.rocks/smartai#readme", "homepage": "https://code.foss.global/push.rocks/smartai",
"browserslist": [ "browserslist": [
"last 1 chrome versions" "last 1 chrome versions"
], ],
@@ -58,13 +58,33 @@
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# @push.rocks/smartai # @push.rocks/smartai
**One API to rule them all** 🚀
Provides a standardized interface for integrating and conversing with multiple AI models, supporting operations like chat and potentially audio responses. [![npm version](https://img.shields.io/npm/v/@push.rocks/smartai.svg)](https://www.npmjs.com/package/@push.rocks/smartai)
[![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue.svg)](https://www.typescriptlang.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
## Install SmartAI unifies the world's leading AI providers - OpenAI, Anthropic, Perplexity, Ollama, Groq, XAI, and Exo - under a single, elegant TypeScript interface. Build AI applications at lightning speed without vendor lock-in.
To add @push.rocks/smartai to your project, run the following command in your terminal: ## 🎯 Why SmartAI?
- **🔌 Universal Interface**: Write once, run with any AI provider. Switch between GPT-4, Claude, Llama, or Grok with a single line change.
- **🛡️ Type-Safe**: Full TypeScript support with comprehensive type definitions for all operations
- **🌊 Streaming First**: Built for real-time applications with native streaming support
- **🎨 Multi-Modal**: Seamlessly work with text, images, audio, and documents
- **🏠 Local & Cloud**: Support for both cloud providers and local models via Ollama
- **⚡ Zero Lock-In**: Your code remains portable across all AI providers
## 🚀 Quick Start
```bash ```bash
npm install @push.rocks/smartai npm install @push.rocks/smartai
``` ```
This command installs the package and adds it to your project's dependencies.
## Usage
The `@push.rocks/smartai` package is a comprehensive solution for integrating and interacting with various AI models, designed to support operations ranging from chat interactions to possibly handling audio responses. This documentation will guide you through the process of utilizing `@push.rocks/smartai` in your applications, focusing on TypeScript and ESM syntax to demonstrate its full capabilities.
### Getting Started
Before you begin, ensure you have installed the package in your project as described in the **Install** section above. Once installed, you can start integrating AI functionalities into your application.
### Initializing SmartAi
The first step is to import and initialize the `SmartAi` class with appropriate options, including tokens for the AI services you plan to use:
```typescript ```typescript
import { SmartAi } from '@push.rocks/smartai'; import { SmartAi } from '@push.rocks/smartai';
const smartAi = new SmartAi({ // Initialize with your favorite providers
openaiToken: 'your-openai-access-token', const ai = new SmartAi({
anthropicToken: 'your-anthropic-access-token' openaiToken: 'sk-...',
anthropicToken: 'sk-ant-...'
}); });
await smartAi.start(); await ai.start();
// Same API, multiple providers
const response = await ai.openaiProvider.chat({
systemMessage: 'You are a helpful assistant.',
userMessage: 'Explain quantum computing in simple terms',
messageHistory: []
});
``` ```
### Creating Conversations with AI ## 📊 Provider Capabilities Matrix
`SmartAi` provides a flexible interface to create and manage conversations with different AI providers. You can create a conversation with any supported AI provider like OpenAI or Anthropic by specifying the provider you want to use: Choose the right provider for your use case:
| Provider | Chat | Streaming | TTS | Vision | Documents | Highlights |
|----------|:----:|:---------:|:---:|:------:|:---------:|------------|
| **OpenAI** | ✅ | ✅ | ✅ | ✅ | ✅ | • GPT-4, DALL-E 3<br>• Industry standard<br>• Most features |
| **Anthropic** | ✅ | ✅ | ❌ | ✅ | ✅ | • Claude 3 Opus<br>• Superior reasoning<br>• 200k context |
| **Ollama** | ✅ | ✅ | ❌ | ✅ | ✅ | • 100% local<br>• Privacy-first<br>• No API costs |
| **XAI** | ✅ | ✅ | ❌ | ❌ | ✅ | • Grok models<br>• Real-time data<br>• Uncensored |
| **Perplexity** | ✅ | ✅ | ❌ | ❌ | ❌ | • Web-aware<br>• Research-focused<br>• Citations |
| **Groq** | ✅ | ✅ | ❌ | ❌ | ❌ | • 10x faster<br>• LPU inference<br>• Low latency |
| **Exo** | ✅ | ✅ | ❌ | ❌ | ❌ | • Distributed<br>• P2P compute<br>• Decentralized |
## 🎮 Core Features
### 💬 Universal Chat Interface
Works identically across all providers:
```typescript ```typescript
const openAiConversation = await smartAi.createConversation('openai'); // Use GPT-4 for complex reasoning
const anthropicConversation = await smartAi.createConversation('anthropic'); const gptResponse = await ai.openaiProvider.chat({
``` systemMessage: 'You are a expert physicist.',
userMessage: 'Explain the implications of quantum entanglement',
### Chatting with AI messageHistory: []
Once you have a conversation instance, you can start sending messages to the AI and receive responses. Each conversation object provides methods to interact in a synchronous or asynchronous manner, depending on your use case.
#### Synchronous Chat Example
Here's how you can have a synchronous chat with OpenAI:
```typescript
const response = await openAiConversation.chat({
systemMessage: 'This is a greeting from the system.',
userMessage: 'Hello, AI! How are you today?',
messageHistory: [] // Previous messages in the conversation
}); });
console.log(response.message); // Log the response from AI // Use Claude for safety-critical applications
const claudeResponse = await ai.anthropicProvider.chat({
systemMessage: 'You are a medical advisor.',
userMessage: 'Review this patient data for concerns',
messageHistory: []
});
// Use Groq for lightning-fast responses
const groqResponse = await ai.groqProvider.chat({
systemMessage: 'You are a code reviewer.',
userMessage: 'Quick! Find the bug in this code: ...',
messageHistory: []
});
``` ```
#### Streaming Chat Example ### 🌊 Real-Time Streaming
For real-time, streaming interactions, you can utilize the streaming capabilities provided by the conversation object. This enables a continuous exchange of messages between your application and the AI: Build responsive chat interfaces with token-by-token streaming:
```typescript ```typescript
const inputStreamWriter = openAiConversation.getInputStreamWriter(); // Create a chat stream
const outputStream = openAiConversation.getOutputStream(); const stream = await ai.openaiProvider.chatStream(inputStream);
const reader = stream.getReader();
inputStreamWriter.write('Hello, AI! Can you stream responses?'); // Display responses as they arrive
while (true) {
const { done, value } = await reader.read();
if (done) break;
// Update UI in real-time
process.stdout.write(value);
}
```
const reader = outputStream.getReader(); ### 🎙️ Text-to-Speech
reader.read().then(function processText({done, value}) {
if (done) { Generate natural voices with OpenAI:
console.log('Stream finished.');
return; ```typescript
const audioStream = await ai.openaiProvider.audio({
message: 'Welcome to the future of AI development!'
});
// Stream directly to speakers
audioStream.pipe(speakerOutput);
// Or save to file
audioStream.pipe(fs.createWriteStream('welcome.mp3'));
```
### 👁️ Vision Analysis
Understand images with multiple providers:
```typescript
const image = fs.readFileSync('product-photo.jpg');
// OpenAI: General purpose vision
const gptVision = await ai.openaiProvider.vision({
image,
prompt: 'Describe this product and suggest marketing angles'
});
// Anthropic: Detailed analysis
const claudeVision = await ai.anthropicProvider.vision({
image,
prompt: 'Identify any safety concerns or defects'
});
// Ollama: Private, local analysis
const ollamaVision = await ai.ollamaProvider.vision({
image,
prompt: 'Extract all text and categorize the content'
});
```
### 📄 Document Intelligence
Extract insights from PDFs with AI:
```typescript
const contract = fs.readFileSync('contract.pdf');
const invoice = fs.readFileSync('invoice.pdf');
// Analyze documents
const analysis = await ai.openaiProvider.document({
systemMessage: 'You are a legal expert.',
userMessage: 'Compare these documents and highlight key differences',
messageHistory: [],
pdfDocuments: [contract, invoice]
});
// Multi-document analysis
const taxDocs = [form1099, w2, receipts];
const taxAnalysis = await ai.anthropicProvider.document({
systemMessage: 'You are a tax advisor.',
userMessage: 'Prepare a tax summary from these documents',
messageHistory: [],
pdfDocuments: taxDocs
});
```
### 🔄 Persistent Conversations
Maintain context across interactions:
```typescript
// Create a coding assistant conversation
const assistant = ai.createConversation('openai');
await assistant.setSystemMessage('You are an expert TypeScript developer.');
// First question
const inputWriter = assistant.getInputStreamWriter();
await inputWriter.write('How do I implement a singleton pattern?');
// Continue the conversation
await inputWriter.write('Now show me how to make it thread-safe');
// The assistant remembers the entire context
```
## 🚀 Real-World Examples
### Build a Customer Support Bot
```typescript
const supportBot = new SmartAi({
anthropicToken: process.env.ANTHROPIC_KEY // Claude for empathetic responses
});
async function handleCustomerQuery(query: string, history: ChatMessage[]) {
try {
const response = await supportBot.anthropicProvider.chat({
systemMessage: `You are a helpful customer support agent.
Be empathetic, professional, and solution-oriented.`,
userMessage: query,
messageHistory: history
});
return response.message;
} catch (error) {
// Fallback to another provider if needed
return await supportBot.openaiProvider.chat({...});
} }
console.log('AI says:', value); }
reader.read().then(processText); // Continue reading messages
});
``` ```
### Extending Conversations ### Create a Code Review Assistant
The modular design of `@push.rocks/smartai` allows you to extend conversations with additional features, such as handling audio responses or integrating other AI-powered functionalities. Utilize the provided AI providers' APIs to explore and implement a wide range of AI interactions within your conversations. ```typescript
const codeReviewer = new SmartAi({
groqToken: process.env.GROQ_KEY // Groq for speed
});
### Conclusion async function reviewCode(code: string, language: string) {
const startTime = Date.now();
const review = await codeReviewer.groqProvider.chat({
systemMessage: `You are a ${language} expert. Review code for:
- Security vulnerabilities
- Performance issues
- Best practices
- Potential bugs`,
userMessage: `Review this code:\n\n${code}`,
messageHistory: []
});
console.log(`Review completed in ${Date.now() - startTime}ms`);
return review.message;
}
```
With `@push.rocks/smartai`, integrating AI functionalities into your applications becomes streamlined and efficient. By leveraging the standardized interface provided by the package, you can easily converse with multiple AI models, expanding the capabilities of your applications with cutting-edge AI features. Whether you're implementing simple chat interactions or complex, real-time communication flows, `@push.rocks/smartai` offers the tools and flexibility needed to create engaging, AI-enhanced experiences. ### Build a Research Assistant
```typescript
const researcher = new SmartAi({
perplexityToken: process.env.PERPLEXITY_KEY
});
async function research(topic: string) {
// Perplexity excels at web-aware research
const findings = await researcher.perplexityProvider.chat({
systemMessage: 'You are a research assistant. Provide factual, cited information.',
userMessage: `Research the latest developments in ${topic}`,
messageHistory: []
});
return findings.message;
}
```
### Local AI for Sensitive Data
```typescript
const localAI = new SmartAi({
ollama: {
baseUrl: 'http://localhost:11434',
model: 'llama2',
visionModel: 'llava'
}
});
// Process sensitive documents without leaving your infrastructure
async function analyzeSensitiveDoc(pdfBuffer: Buffer) {
const analysis = await localAI.ollamaProvider.document({
systemMessage: 'Extract and summarize key information.',
userMessage: 'Analyze this confidential document',
messageHistory: [],
pdfDocuments: [pdfBuffer]
});
// Data never leaves your servers
return analysis.message;
}
```
## ⚡ Performance Tips
### 1. Provider Selection Strategy
```typescript
class SmartAIRouter {
constructor(private ai: SmartAi) {}
async query(message: string, requirements: {
speed?: boolean;
accuracy?: boolean;
cost?: boolean;
privacy?: boolean;
}) {
if (requirements.privacy) {
return this.ai.ollamaProvider.chat({...}); // Local only
}
if (requirements.speed) {
return this.ai.groqProvider.chat({...}); // 10x faster
}
if (requirements.accuracy) {
return this.ai.anthropicProvider.chat({...}); // Best reasoning
}
// Default fallback
return this.ai.openaiProvider.chat({...});
}
}
```
### 2. Streaming for Large Responses
```typescript
// Don't wait for the entire response
async function streamResponse(userQuery: string) {
const stream = await ai.openaiProvider.chatStream(createInputStream(userQuery));
// Process tokens as they arrive
for await (const chunk of stream) {
updateUI(chunk); // Immediate feedback
await processChunk(chunk); // Parallel processing
}
}
```
### 3. Parallel Multi-Provider Queries
```typescript
// Get the best answer from multiple AIs
async function consensusQuery(question: string) {
const providers = [
ai.openaiProvider.chat({...}),
ai.anthropicProvider.chat({...}),
ai.perplexityProvider.chat({...})
];
const responses = await Promise.all(providers);
return synthesizeResponses(responses);
}
```
## 🛠️ Advanced Features
### Custom Streaming Transformations
```typescript
// Add real-time translation
const translationStream = new TransformStream({
async transform(chunk, controller) {
const translated = await translateChunk(chunk);
controller.enqueue(translated);
}
});
const responseStream = await ai.openaiProvider.chatStream(input);
const translatedStream = responseStream.pipeThrough(translationStream);
```
### Error Handling & Fallbacks
```typescript
class ResilientAI {
private providers = ['openai', 'anthropic', 'groq'];
async query(opts: ChatOptions): Promise<ChatResponse> {
for (const provider of this.providers) {
try {
return await this.ai[`${provider}Provider`].chat(opts);
} catch (error) {
console.warn(`${provider} failed, trying next...`);
continue;
}
}
throw new Error('All providers failed');
}
}
```
### Token Counting & Cost Management
```typescript
// Track usage across providers
class UsageTracker {
async trackedChat(provider: string, options: ChatOptions) {
const start = Date.now();
const response = await ai[`${provider}Provider`].chat(options);
const usage = {
provider,
duration: Date.now() - start,
inputTokens: estimateTokens(options),
outputTokens: estimateTokens(response.message)
};
await this.logUsage(usage);
return response;
}
}
```
## 📦 Installation & Setup
### Prerequisites
- Node.js 16+
- TypeScript 4.5+
- API keys for your chosen providers
### Environment Setup
```bash
# Install
npm install @push.rocks/smartai
# Set up environment variables
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
export PERPLEXITY_API_KEY=pplx-...
# ... etc
```
### TypeScript Configuration
```json
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"lib": ["ES2022"],
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true
}
}
```
## 🎯 Choosing the Right Provider
| Use Case | Recommended Provider | Why |
|----------|---------------------|-----|
| **General Purpose** | OpenAI | Most features, stable, well-documented |
| **Complex Reasoning** | Anthropic | Superior logical thinking, safer outputs |
| **Research & Facts** | Perplexity | Web-aware, provides citations |
| **Speed Critical** | Groq | 10x faster inference, sub-second responses |
| **Privacy Critical** | Ollama | 100% local, no data leaves your servers |
| **Real-time Data** | XAI | Access to current information |
| **Cost Sensitive** | Ollama/Exo | Free (local) or distributed compute |
## 🤝 Contributing
SmartAI is open source and welcomes contributions! Visit our [GitHub repository](https://code.foss.global/push.rocks/smartai) to:
- Report issues
- Submit pull requests
- Request features
- Join discussions
## 📈 Roadmap
- [ ] Streaming function calls
- [ ] Image generation support
- [ ] Voice input processing
- [ ] Fine-tuning integration
- [ ] Embedding support
- [ ] Agent framework
- [ ] More providers (Cohere, AI21, etc.)
## License and Legal Information ## License and Legal Information
@@ -108,4 +488,4 @@ Registered at District court Bremen HRB 35230 HB, Germany
For any legal inquiries or if you require further information, please contact us via email at hello@task.vc. For any legal inquiries or if you require further information, please contact us via email at hello@task.vc.
By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works. By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.

View File

@@ -1,4 +1,4 @@
import { expect, expectAsync, tap } from '@push.rocks/tapbundle'; import { expect, tap } from '@push.rocks/tapbundle';
import * as qenv from '@push.rocks/qenv'; import * as qenv from '@push.rocks/qenv';
import * as smartrequest from '@push.rocks/smartrequest'; import * as smartrequest from '@push.rocks/smartrequest';
import * as smartfile from '@push.rocks/smartfile'; import * as smartfile from '@push.rocks/smartfile';
@@ -21,8 +21,7 @@ tap.test('should create chat response with openai', async () => {
const response = await testSmartai.openaiProvider.chat({ const response = await testSmartai.openaiProvider.chat({
systemMessage: 'Hello', systemMessage: 'Hello',
userMessage: userMessage, userMessage: userMessage,
messageHistory: [ messageHistory: [],
],
}); });
console.log(`userMessage: ${userMessage}`); console.log(`userMessage: ${userMessage}`);
console.log(response.message); console.log(response.message);
@@ -30,12 +29,14 @@ tap.test('should create chat response with openai', async () => {
tap.test('should document a pdf', async () => { tap.test('should document a pdf', async () => {
const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf'; const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
const pdfResponse = await smartrequest.getBinary(pdfUrl); const pdfResponse = await smartrequest.SmartRequest.create()
.url(pdfUrl)
.get();
const result = await testSmartai.openaiProvider.document({ const result = await testSmartai.openaiProvider.document({
systemMessage: 'Classify the document. Only the following answers are allowed: "invoice", "bank account statement", "contract", "other"', systemMessage: 'Classify the document. Only the following answers are allowed: "invoice", "bank account statement", "contract", "other". The answer should only contain the keyword for machine use.',
userMessage: "Classify the document.", userMessage: "Classify the document.",
messageHistory: [], messageHistory: [],
pdfDocuments: [pdfResponse.body], pdfDocuments: [Buffer.from(await pdfResponse.arrayBuffer())],
}); });
console.log(result); console.log(result);
}); });
@@ -55,7 +56,7 @@ tap.test('should recognize companies in a pdf', async () => {
address: string; address: string;
city: string; city: string;
country: string; country: string;
EU: boolean; // wether the entity is within EU EU: boolean; // whether the entity is within EU
}; };
entityReceiver: { entityReceiver: {
type: 'official state entity' | 'company' | 'person'; type: 'official state entity' | 'company' | 'person';
@@ -63,7 +64,7 @@ tap.test('should recognize companies in a pdf', async () => {
address: string; address: string;
city: string; city: string;
country: string; country: string;
EU: boolean; // wether the entity is within EU EU: boolean; // whether the entity is within EU
}; };
date: string; // the date of the document as YYYY-MM-DD date: string; // the date of the document as YYYY-MM-DD
title: string; // a short title, suitable for a filename title: string; // a short title, suitable for a filename
@@ -75,10 +76,27 @@ tap.test('should recognize companies in a pdf', async () => {
pdfDocuments: [pdfBuffer], pdfDocuments: [pdfBuffer],
}); });
console.log(result); console.log(result);
}) });
tap.test('should create audio response with openai', async () => {
// Call the audio method with a sample message.
const audioStream = await testSmartai.openaiProvider.audio({
message: 'This is a test of audio generation.',
});
// Read all chunks from the stream.
const chunks: Uint8Array[] = [];
for await (const chunk of audioStream) {
chunks.push(chunk as Uint8Array);
}
const audioBuffer = Buffer.concat(chunks);
await smartfile.fs.toFs(audioBuffer, './.nogit/testoutput.mp3');
console.log(`Audio Buffer length: ${audioBuffer.length}`);
// Assert that the resulting buffer is not empty.
expect(audioBuffer.length).toBeGreaterThan(0);
});
tap.test('should stop the smartai instance', async () => { tap.test('should stop the smartai instance', async () => {
await testSmartai.stop(); await testSmartai.stop();
}); });
export default tap.start(); export default tap.start();

View File

@@ -1,8 +1,8 @@
/** /**
* autocreated commitinfo by @pushrocks/commitinfo * autocreated commitinfo by @push.rocks/commitinfo
*/ */
export const commitinfo = { export const commitinfo = {
name: '@push.rocks/smartai', name: '@push.rocks/smartai',
version: '0.0.17', version: '0.5.4',
description: 'A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.' description: 'SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.'
} }

View File

@@ -1,32 +1,101 @@
import * as plugins from './plugins.js';
/**
* Message format for chat interactions
*/
export interface ChatMessage {
role: 'assistant' | 'user' | 'system';
content: string;
}
/**
* Options for chat interactions
*/
export interface ChatOptions {
systemMessage: string;
userMessage: string;
messageHistory: ChatMessage[];
}
/**
* Response format for chat interactions
*/
export interface ChatResponse {
role: 'assistant';
message: string;
}
/**
* Abstract base class for multi-modal AI models.
* Provides a common interface for different AI providers (OpenAI, Anthropic, Perplexity, Ollama)
*/
export abstract class MultiModalModel { export abstract class MultiModalModel {
/** /**
* starts the model * SmartPdf instance for document processing
* Shared across all methods that need PDF functionality
*/ */
abstract start(): Promise<void>; protected smartpdfInstance: plugins.smartpdf.SmartPdf;
/**
* Initializes the model and any necessary resources
* Should be called before using any other methods
*/
public async start(): Promise<void> {
this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
await this.smartpdfInstance.start();
}
/** /**
* stops the model * Cleans up any resources used by the model
* Should be called when the model is no longer needed
*/ */
abstract stop(): Promise<void>; public async stop(): Promise<void> {
if (this.smartpdfInstance) {
await this.smartpdfInstance.stop();
}
}
public abstract chat(optionsArg: { /**
systemMessage: string, * Synchronous chat interaction with the model
userMessage: string, * @param optionsArg Options containing system message, user message, and message history
messageHistory: { * @returns Promise resolving to the assistant's response
role: 'assistant' | 'user'; */
content: string; public abstract chat(optionsArg: ChatOptions): Promise<ChatResponse>;
}[]
}): Promise<{
role: 'assistant';
message: string;
}>
/** /**
* Defines a streaming interface for chat interactions. * Streaming interface for chat interactions
* The implementation will vary based on the specific AI model. * Allows for real-time responses from the model
* @param input * @param input Stream of user messages
* @returns Stream of model responses
*/ */
public abstract chatStream(input: ReadableStream<string>): Promise<ReadableStream<string>>; public abstract chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>>;
/**
* Text-to-speech conversion
* @param optionsArg Options containing the message to convert to speech
* @returns Promise resolving to a readable stream of audio data
* @throws Error if the provider doesn't support audio generation
*/
public abstract audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream>;
/**
* Vision-language processing
* @param optionsArg Options containing the image and prompt for analysis
* @returns Promise resolving to the model's description or analysis of the image
* @throws Error if the provider doesn't support vision tasks
*/
public abstract vision(optionsArg: { image: Buffer; prompt: string }): Promise<string>;
/**
* Document analysis and processing
* @param optionsArg Options containing system message, user message, PDF documents, and message history
* @returns Promise resolving to the model's analysis of the documents
* @throws Error if the provider doesn't support document processing
*/
public abstract document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }>;
} }

View File

@@ -48,6 +48,18 @@ export class Conversation {
return 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) { public static async createWithOllama(smartaiRefArg: SmartAi) {
if (!smartaiRefArg.ollamaProvider) { if (!smartaiRefArg.ollamaProvider) {
throw new Error('Ollama provider not available'); throw new Error('Ollama provider not available');
@@ -60,6 +72,30 @@ export class Conversation {
return 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 // INSTANCE
smartaiRef: SmartAi smartaiRef: SmartAi
private systemMessage: string; private systemMessage: string;

View File

@@ -1,18 +1,32 @@
import { Conversation } from './classes.conversation.js'; import { Conversation } from './classes.conversation.js';
import * as plugins from './plugins.js'; import * as plugins from './plugins.js';
import { AnthropicProvider } from './provider.anthropic.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 { 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 { export interface ISmartAiOptions {
openaiToken?: string; openaiToken?: string;
anthropicToken?: string; anthropicToken?: string;
perplexityToken?: 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 { export class SmartAi {
public options: ISmartAiOptions; public options: ISmartAiOptions;
@@ -21,6 +35,9 @@ export class SmartAi {
public anthropicProvider: AnthropicProvider; public anthropicProvider: AnthropicProvider;
public perplexityProvider: PerplexityProvider; public perplexityProvider: PerplexityProvider;
public ollamaProvider: OllamaProvider; public ollamaProvider: OllamaProvider;
public exoProvider: ExoProvider;
public groqProvider: GroqProvider;
public xaiProvider: XAIProvider;
constructor(optionsArg: ISmartAiOptions) { constructor(optionsArg: ISmartAiOptions) {
this.options = optionsArg; this.options = optionsArg;
@@ -37,16 +54,74 @@ export class SmartAi {
this.anthropicProvider = new AnthropicProvider({ this.anthropicProvider = new AnthropicProvider({
anthropicToken: this.options.anthropicToken, 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();
} }
} }
public async stop() {} public async stop() {
if (this.openaiProvider) {
await this.openaiProvider.stop();
}
if (this.anthropicProvider) {
await this.anthropicProvider.stop();
}
if (this.perplexityProvider) {
await this.perplexityProvider.stop();
}
if (this.groqProvider) {
await this.groqProvider.stop();
}
if (this.xaiProvider) {
await this.xaiProvider.stop();
}
if (this.ollamaProvider) {
await this.ollamaProvider.stop();
}
if (this.exoProvider) {
await this.exoProvider.stop();
}
}
/** /**
* create a new conversation * create a new conversation
*/ */
createConversation(provider: TProvider) { createConversation(provider: TProvider) {
switch (provider) { switch (provider) {
case 'exo':
return Conversation.createWithExo(this);
case 'openai': case 'openai':
return Conversation.createWithOpenAi(this); return Conversation.createWithOpenAi(this);
case 'anthropic': case 'anthropic':
@@ -55,6 +130,10 @@ export class SmartAi {
return Conversation.createWithPerplexity(this); return Conversation.createWithPerplexity(this);
case 'ollama': case 'ollama':
return Conversation.createWithOllama(this); return Conversation.createWithOllama(this);
case 'groq':
return Conversation.createWithGroq(this);
case 'xai':
return Conversation.createWithXai(this);
default: default:
throw new Error('Provider not available'); throw new Error('Provider not available');
} }

View File

@@ -1,6 +1,10 @@
import * as plugins from './plugins.js'; import * as plugins from './plugins.js';
import * as paths from './paths.js'; import * as paths from './paths.js';
import { MultiModalModel } from './abstract.classes.multimodal.js'; import { MultiModalModel } from './abstract.classes.multimodal.js';
import type { ChatOptions, ChatResponse, ChatMessage } from './abstract.classes.multimodal.js';
import type { ImageBlockParam, TextBlockParam } from '@anthropic-ai/sdk/resources/messages';
type ContentBlock = ImageBlockParam | TextBlockParam;
export interface IAnthropicProviderOptions { export interface IAnthropicProviderOptions {
anthropicToken: string; anthropicToken: string;
@@ -16,47 +20,223 @@ export class AnthropicProvider extends MultiModalModel {
} }
async start() { async start() {
await super.start();
this.anthropicApiClient = new plugins.anthropic.default({ this.anthropicApiClient = new plugins.anthropic.default({
apiKey: this.options.anthropicToken, apiKey: this.options.anthropicToken,
}); });
} }
async stop() {} async stop() {
await super.stop();
}
public async chatStream(input: ReadableStream<string>): Promise<ReadableStream<string>> { public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
// TODO: implement for OpenAI // Create a TextDecoder to handle incoming chunks
const decoder = new TextDecoder();
let buffer = '';
let currentMessage: { role: string; content: string; } | null = null;
const returnStream = new ReadableStream(); // Create a TransformStream to process the input
return returnStream; const transform = new TransformStream<Uint8Array, string>({
async transform(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 = {
role: message.role || 'user',
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to Anthropic
if (currentMessage) {
const stream = await this.anthropicApiClient.messages.create({
model: 'claude-3-opus-20240229',
messages: [{ role: currentMessage.role, content: currentMessage.content }],
system: '',
stream: true,
max_tokens: 4000,
});
// Process each chunk from Anthropic
for await (const chunk of stream) {
const content = chunk.delta?.text;
if (content) {
controller.enqueue(content);
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
} }
// Implementing the synchronous chat interaction // Implementing the synchronous chat interaction
public async chat(optionsArg: { public async chat(optionsArg: ChatOptions): Promise<ChatResponse> {
systemMessage: string; // Convert message history to Anthropic format
userMessage: string; const messages = optionsArg.messageHistory.map(msg => ({
messageHistory: { role: msg.role === 'assistant' ? 'assistant' as const : 'user' as const,
role: 'assistant' | 'user'; content: msg.content
content: string; }));
}[];
}) {
const result = await this.anthropicApiClient.messages.create({ const result = await this.anthropicApiClient.messages.create({
model: 'claude-3-opus-20240229', model: 'claude-3-opus-20240229',
system: optionsArg.systemMessage, system: optionsArg.systemMessage,
messages: [ messages: [
...optionsArg.messageHistory, ...messages,
{ role: 'user', content: optionsArg.userMessage }, { role: 'user' as const, content: optionsArg.userMessage }
], ],
max_tokens: 4000, max_tokens: 4000,
}); });
// Extract text content from the response
let message = '';
for (const block of result.content) {
if ('text' in block) {
message += block.text;
}
}
return { return {
role: result.role as 'assistant', role: 'assistant' as const,
message: result.content.join('\n'), message,
}; };
} }
private async audio(messageArg: string) { public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
// Anthropic does not provide an audio API, so this method is not implemented. // Anthropic does not provide an audio API, so this method is not implemented.
throw new Error('Audio generation is not yet supported by Anthropic.'); throw new Error('Audio generation is not yet supported by Anthropic.');
} }
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
const base64Image = optionsArg.image.toString('base64');
const content: ContentBlock[] = [
{
type: 'text',
text: optionsArg.prompt
},
{
type: 'image',
source: {
type: 'base64',
media_type: 'image/jpeg',
data: base64Image
}
}
];
const result = await this.anthropicApiClient.messages.create({
model: 'claude-3-opus-20240229',
messages: [{
role: 'user',
content
}],
max_tokens: 1024
});
// Extract text content from the response
let message = '';
for (const block of result.content) {
if ('text' in block) {
message += block.text;
}
}
return message;
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }> {
// Convert PDF documents to images using SmartPDF
let documentImageBytesArray: Uint8Array[] = [];
for (const pdfDocument of optionsArg.pdfDocuments) {
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
documentImageBytesArray = documentImageBytesArray.concat(documentImageArray);
}
// Convert message history to Anthropic format
const messages = optionsArg.messageHistory.map(msg => ({
role: msg.role === 'assistant' ? 'assistant' as const : 'user' as const,
content: msg.content
}));
// Create content array with text and images
const content: ContentBlock[] = [
{
type: 'text',
text: optionsArg.userMessage
}
];
// Add each document page as an image
for (const imageBytes of documentImageBytesArray) {
content.push({
type: 'image',
source: {
type: 'base64',
media_type: 'image/jpeg',
data: Buffer.from(imageBytes).toString('base64')
}
});
}
const result = await this.anthropicApiClient.messages.create({
model: 'claude-3-opus-20240229',
system: optionsArg.systemMessage,
messages: [
...messages,
{ role: 'user', content }
],
max_tokens: 4096
});
// Extract text content from the response
let message = '';
for (const block of result.content) {
if ('text' in block) {
message += block.text;
}
}
return {
message: {
role: 'assistant',
content: message
}
};
}
} }

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');
}
}

192
ts/provider.groq.ts Normal file
View File

@@ -0,0 +1,192 @@
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';
export interface IGroqProviderOptions {
groqToken: string;
model?: string;
}
export class GroqProvider extends MultiModalModel {
private options: IGroqProviderOptions;
private baseUrl = 'https://api.groq.com/v1';
constructor(optionsArg: IGroqProviderOptions) {
super();
this.options = {
...optionsArg,
model: optionsArg.model || 'llama-3.3-70b-versatile', // Default model
};
}
async start() {}
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 = {
role: message.role || 'user',
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to Groq
if (currentMessage) {
const response = await fetch(`${this.baseUrl}/chat/completions`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${this.options.groqToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.options.model,
messages: [{ role: currentMessage.role, content: currentMessage.content }],
stream: true,
}),
});
// Process each chunk from Groq
const reader = response.body?.getReader();
if (reader) {
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = new TextDecoder().decode(value);
const lines = chunk.split('\n');
for (const line of lines) {
if (line.startsWith('data: ')) {
const data = line.slice(6);
if (data === '[DONE]') break;
try {
const parsed = JSON.parse(data);
const content = parsed.choices[0]?.delta?.content;
if (content) {
controller.enqueue(content);
}
} catch (e) {
console.error('Failed to parse SSE data:', e);
}
}
}
}
} finally {
reader.releaseLock();
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
}
// Implementing the synchronous chat interaction
public async chat(optionsArg: ChatOptions): Promise<ChatResponse> {
const messages = [
// System message
{
role: 'system',
content: optionsArg.systemMessage,
},
// Message history
...optionsArg.messageHistory.map(msg => ({
role: msg.role,
content: msg.content,
})),
// User message
{
role: 'user',
content: optionsArg.userMessage,
},
];
const response = await fetch(`${this.baseUrl}/chat/completions`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${this.options.groqToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.options.model,
messages,
temperature: 0.7,
max_completion_tokens: 1024,
stream: false,
}),
});
if (!response.ok) {
const error = await response.json();
throw new Error(`Groq API error: ${error.message || response.statusText}`);
}
const result = await response.json();
return {
role: 'assistant',
message: result.choices[0].message.content,
};
}
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
// Groq does not provide an audio API, so this method is not implemented.
throw new Error('Audio generation is not yet supported by Groq.');
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
throw new Error('Vision tasks are not yet supported by Groq.');
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }> {
throw new Error('Document processing is not yet supported by Groq.');
}
}

View File

@@ -1,3 +1,254 @@
import * as plugins from './plugins.js'; 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';
export class OllamaProvider {} export interface IOllamaProviderOptions {
baseUrl?: string;
model?: string;
visionModel?: string; // Model to use for vision tasks (e.g. 'llava')
}
export class OllamaProvider extends MultiModalModel {
private options: IOllamaProviderOptions;
private baseUrl: string;
private model: string;
private visionModel: string;
constructor(optionsArg: IOllamaProviderOptions = {}) {
super();
this.options = optionsArg;
this.baseUrl = optionsArg.baseUrl || 'http://localhost:11434';
this.model = optionsArg.model || 'llama2';
this.visionModel = optionsArg.visionModel || 'llava';
}
async start() {
await super.start();
// Verify Ollama is running
try {
const response = await fetch(`${this.baseUrl}/api/tags`);
if (!response.ok) {
throw new Error('Failed to connect to Ollama server');
}
} catch (error) {
throw new Error(`Failed to connect to Ollama server at ${this.baseUrl}: ${error.message}`);
}
}
async stop() {
await super.stop();
}
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
// Create a TextDecoder to handle incoming chunks
const decoder = new TextDecoder();
let buffer = '';
let currentMessage: { role: string; content: string; } | null = null;
// Create a TransformStream to process the input
const transform = new TransformStream<Uint8Array, string>({
transform: async (chunk, controller) => {
buffer += decoder.decode(chunk, { stream: true });
// Try to parse complete JSON messages from the buffer
while (true) {
const newlineIndex = buffer.indexOf('\n');
if (newlineIndex === -1) break;
const line = buffer.slice(0, newlineIndex);
buffer = buffer.slice(newlineIndex + 1);
if (line.trim()) {
try {
const message = JSON.parse(line);
currentMessage = {
role: message.role || 'user',
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to Ollama
if (currentMessage) {
const response = await fetch(`${this.baseUrl}/api/chat`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.model,
messages: [{ role: currentMessage.role, content: currentMessage.content }],
stream: true,
}),
});
// Process each chunk from Ollama
const reader = response.body?.getReader();
if (reader) {
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = new TextDecoder().decode(value);
const lines = chunk.split('\n');
for (const line of lines) {
if (line.trim()) {
try {
const parsed = JSON.parse(line);
const content = parsed.message?.content;
if (content) {
controller.enqueue(content);
}
} catch (e) {
console.error('Failed to parse Ollama response:', e);
}
}
}
}
} finally {
reader.releaseLock();
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
}
// Implementing the synchronous chat interaction
public async chat(optionsArg: ChatOptions): Promise<ChatResponse> {
// Format messages for Ollama
const messages = [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory,
{ role: 'user', content: optionsArg.userMessage }
];
// Make API call to Ollama
const response = await fetch(`${this.baseUrl}/api/chat`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.model,
messages: messages,
stream: false
}),
});
if (!response.ok) {
throw new Error(`Ollama API error: ${response.statusText}`);
}
const result = await response.json();
return {
role: 'assistant' as const,
message: result.message.content,
};
}
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
throw new Error('Audio generation is not supported by Ollama.');
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
const base64Image = optionsArg.image.toString('base64');
const response = await fetch(`${this.baseUrl}/api/chat`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.visionModel,
messages: [{
role: 'user',
content: optionsArg.prompt,
images: [base64Image]
}],
stream: false
}),
});
if (!response.ok) {
throw new Error(`Ollama API error: ${response.statusText}`);
}
const result = await response.json();
return result.message.content;
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }> {
// Convert PDF documents to images using SmartPDF
let documentImageBytesArray: Uint8Array[] = [];
for (const pdfDocument of optionsArg.pdfDocuments) {
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
documentImageBytesArray = documentImageBytesArray.concat(documentImageArray);
}
// Convert images to base64
const base64Images = documentImageBytesArray.map(bytes => Buffer.from(bytes).toString('base64'));
// Send request to Ollama with images
const response = await fetch(`${this.baseUrl}/api/chat`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: this.visionModel,
messages: [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory,
{
role: 'user',
content: optionsArg.userMessage,
images: base64Images
}
],
stream: false
}),
});
if (!response.ok) {
throw new Error(`Ollama API error: ${response.statusText}`);
}
const result = await response.json();
return {
message: {
role: 'assistant',
content: result.message.content
}
};
}
}

View File

@@ -1,16 +1,26 @@
import * as plugins from './plugins.js'; import * as plugins from './plugins.js';
import * as paths from './paths.js'; import * as paths from './paths.js';
import { Readable } from 'stream';
// Custom type definition for chat completion messages
export type TChatCompletionRequestMessage = {
role: "system" | "user" | "assistant";
content: string;
};
import { MultiModalModel } from './abstract.classes.multimodal.js'; import { MultiModalModel } from './abstract.classes.multimodal.js';
export interface IOpenaiProviderOptions { export interface IOpenaiProviderOptions {
openaiToken: string; openaiToken: string;
chatModel?: string;
audioModel?: string;
visionModel?: string;
// Optionally add more model options (e.g., documentModel) if needed.
} }
export class OpenAiProvider extends MultiModalModel { export class OpenAiProvider extends MultiModalModel {
private options: IOpenaiProviderOptions; private options: IOpenaiProviderOptions;
public openAiApiClient: plugins.openai.default; public openAiApiClient: plugins.openai.default;
public smartpdfInstance: plugins.smartpdf.SmartPdf;
constructor(optionsArg: IOpenaiProviderOptions) { constructor(optionsArg: IOpenaiProviderOptions) {
super(); super();
@@ -18,20 +28,90 @@ export class OpenAiProvider extends MultiModalModel {
} }
public async start() { public async start() {
await super.start();
this.openAiApiClient = new plugins.openai.default({ this.openAiApiClient = new plugins.openai.default({
apiKey: this.options.openaiToken, apiKey: this.options.openaiToken,
dangerouslyAllowBrowser: true, dangerouslyAllowBrowser: true,
}); });
this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
} }
public async stop() {} public async stop() {
await super.stop();
}
public async chatStream(input: ReadableStream<string>): Promise<ReadableStream<string>> { public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
// TODO: implement for OpenAI // Create a TextDecoder to handle incoming chunks
const decoder = new TextDecoder();
let buffer = '';
let currentMessage: {
role: "function" | "user" | "system" | "assistant" | "tool" | "developer";
content: string;
} | null = null;
const returnStream = new ReadableStream(); // Create a TransformStream to process the input
return returnStream; 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 = {
role: (message.role || 'user') as "function" | "user" | "system" | "assistant" | "tool" | "developer",
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to OpenAI
if (currentMessage) {
const messageToSend = { role: "user" as const, content: currentMessage.content };
const chatModel = this.options.chatModel ?? 'o3-mini';
const requestParams: any = {
model: chatModel,
messages: [messageToSend],
stream: true,
};
// Temperature is omitted since the model does not support it.
const stream = await this.openAiApiClient.chat.completions.create(requestParams);
// Explicitly cast the stream as an async iterable to satisfy TypeScript.
const streamAsyncIterable = stream as unknown as AsyncIterableIterator<any>;
// Process each chunk from OpenAI
for await (const chunk of streamAsyncIterable) {
const content = chunk.choices[0]?.delta?.content;
if (content) {
controller.enqueue(content);
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
} }
// Implementing the synchronous chat interaction // Implementing the synchronous chat interaction
@@ -43,15 +123,17 @@ export class OpenAiProvider extends MultiModalModel {
content: string; content: string;
}[]; }[];
}) { }) {
const result = await this.openAiApiClient.chat.completions.create({ const chatModel = this.options.chatModel ?? 'o3-mini';
model: 'gpt-4o', const requestParams: any = {
model: chatModel,
messages: [ messages: [
{ role: 'system', content: optionsArg.systemMessage }, { role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory, ...optionsArg.messageHistory,
{ role: 'user', content: optionsArg.userMessage }, { role: 'user', content: optionsArg.userMessage },
], ],
}); };
// Temperature parameter removed to avoid unsupported error.
const result = await this.openAiApiClient.chat.completions.create(requestParams);
return { return {
role: result.choices[0].message.role as 'assistant', role: result.choices[0].message.role as 'assistant',
message: result.choices[0].message.content, message: result.choices[0].message.content,
@@ -61,14 +143,15 @@ export class OpenAiProvider extends MultiModalModel {
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> { public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
const done = plugins.smartpromise.defer<NodeJS.ReadableStream>(); const done = plugins.smartpromise.defer<NodeJS.ReadableStream>();
const result = await this.openAiApiClient.audio.speech.create({ const result = await this.openAiApiClient.audio.speech.create({
model: 'tts-1-hd', model: this.options.audioModel ?? 'tts-1-hd',
input: optionsArg.message, input: optionsArg.message,
voice: 'nova', voice: 'nova',
response_format: 'mp3', response_format: 'mp3',
speed: 1, speed: 1,
}); });
const stream = result.body; const stream = result.body;
done.resolve(stream); const nodeStream = Readable.fromWeb(stream as any);
done.resolve(nodeStream);
return done.promise; return done.promise;
} }
@@ -83,6 +166,7 @@ export class OpenAiProvider extends MultiModalModel {
}) { }) {
let pdfDocumentImageBytesArray: Uint8Array[] = []; let pdfDocumentImageBytesArray: Uint8Array[] = [];
// Convert each PDF into one or more image byte arrays.
for (const pdfDocument of optionsArg.pdfDocuments) { for (const pdfDocument of optionsArg.pdfDocuments) {
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument); const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
pdfDocumentImageBytesArray = pdfDocumentImageBytesArray.concat(documentImageArray); pdfDocumentImageBytesArray = pdfDocumentImageBytesArray.concat(documentImageArray);
@@ -91,19 +175,18 @@ export class OpenAiProvider extends MultiModalModel {
console.log(`image smartfile array`); console.log(`image smartfile array`);
console.log(pdfDocumentImageBytesArray.map((smartfile) => smartfile.length)); console.log(pdfDocumentImageBytesArray.map((smartfile) => smartfile.length));
const smartfileArray = await plugins.smartarray.map( // Filter out any empty buffers to avoid sending invalid image URLs.
pdfDocumentImageBytesArray, const validImageBytesArray = pdfDocumentImageBytesArray.filter(imageBytes => imageBytes && imageBytes.length > 0);
async (pdfDocumentImageBytes) => { const imageAttachments = validImageBytesArray.map(imageBytes => ({
return plugins.smartfile.SmartFile.fromBuffer( type: 'image_url',
'pdfDocumentImage.jpg', image_url: {
Buffer.from(pdfDocumentImageBytes) url: 'data:image/png;base64,' + Buffer.from(imageBytes).toString('base64'),
); },
} }));
);
const result = await this.openAiApiClient.chat.completions.create({ const chatModel = this.options.chatModel ?? 'o4-mini';
model: 'gpt-4o', const requestParams: any = {
// response_format: { type: "json_object" }, // not supported for now model: chatModel,
messages: [ messages: [
{ role: 'system', content: optionsArg.systemMessage }, { role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory, ...optionsArg.messageHistory,
@@ -111,24 +194,39 @@ export class OpenAiProvider extends MultiModalModel {
role: 'user', role: 'user',
content: [ content: [
{ type: 'text', text: optionsArg.userMessage }, { type: 'text', text: optionsArg.userMessage },
...(() => { ...imageAttachments,
const returnArray = [];
for (const imageBytes of pdfDocumentImageBytesArray) {
returnArray.push({
type: 'image_url',
image_url: {
url: 'data:image/png;base64,' + Buffer.from(imageBytes).toString('base64'),
},
});
}
return returnArray;
})(),
], ],
}, },
], ],
}); };
// Temperature parameter removed.
const result = await this.openAiApiClient.chat.completions.create(requestParams);
return { return {
message: result.choices[0].message, message: result.choices[0].message,
}; };
} }
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
const visionModel = this.options.visionModel ?? '04-mini';
const requestParams: any = {
model: visionModel,
messages: [
{
role: 'user',
content: [
{ type: 'text', text: optionsArg.prompt },
{
type: 'image_url',
image_url: {
url: `data:image/jpeg;base64,${optionsArg.image.toString('base64')}`
}
}
]
}
],
max_tokens: 300
};
const result = await this.openAiApiClient.chat.completions.create(requestParams);
return result.choices[0].message.content || '';
}
}

View File

@@ -1,3 +1,171 @@
import * as plugins from './plugins.js'; 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';
export class PerplexityProvider {} export interface IPerplexityProviderOptions {
perplexityToken: string;
}
export class PerplexityProvider extends MultiModalModel {
private options: IPerplexityProviderOptions;
constructor(optionsArg: IPerplexityProviderOptions) {
super();
this.options = optionsArg;
}
async start() {
// Initialize any necessary clients or resources
}
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>({
async transform(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 = {
role: message.role || 'user',
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to Perplexity
if (currentMessage) {
const response = await fetch('https://api.perplexity.ai/chat/completions', {
method: 'POST',
headers: {
'Authorization': `Bearer ${this.options.perplexityToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'mixtral-8x7b-instruct',
messages: [{ role: currentMessage.role, content: currentMessage.content }],
stream: true,
}),
});
// Process each chunk from Perplexity
const reader = response.body?.getReader();
if (reader) {
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = new TextDecoder().decode(value);
const lines = chunk.split('\n');
for (const line of lines) {
if (line.startsWith('data: ')) {
const data = line.slice(6);
if (data === '[DONE]') break;
try {
const parsed = JSON.parse(data);
const content = parsed.choices[0]?.delta?.content;
if (content) {
controller.enqueue(content);
}
} catch (e) {
console.error('Failed to parse SSE data:', e);
}
}
}
}
} finally {
reader.releaseLock();
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
}
// Implementing the synchronous chat interaction
public async chat(optionsArg: ChatOptions): Promise<ChatResponse> {
// Make API call to Perplexity
const response = await fetch('https://api.perplexity.ai/chat/completions', {
method: 'POST',
headers: {
'Authorization': `Bearer ${this.options.perplexityToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'mixtral-8x7b-instruct', // Using Mixtral model
messages: [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory,
{ role: 'user', content: optionsArg.userMessage }
],
}),
});
if (!response.ok) {
throw new Error(`Perplexity API error: ${response.statusText}`);
}
const result = await response.json();
return {
role: 'assistant' as const,
message: result.choices[0].message.content,
};
}
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
throw new Error('Audio generation is not supported by Perplexity.');
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
throw new Error('Vision tasks are not supported by Perplexity.');
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: ChatMessage[];
}): Promise<{ message: any }> {
throw new Error('Document processing is not supported by Perplexity.');
}
}

184
ts/provider.xai.ts Normal file
View File

@@ -0,0 +1,184 @@
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 IXAIProviderOptions {
xaiToken: string;
}
export class XAIProvider extends MultiModalModel {
private options: IXAIProviderOptions;
public openAiApiClient: plugins.openai.default;
constructor(optionsArg: IXAIProviderOptions) {
super();
this.options = optionsArg;
}
public async start() {
await super.start();
this.openAiApiClient = new plugins.openai.default({
apiKey: this.options.xaiToken,
baseURL: 'https://api.x.ai/v1',
});
}
public async stop() {
await super.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>({
async transform(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 = {
role: message.role || 'user',
content: message.content || '',
};
} catch (e) {
console.error('Failed to parse message:', e);
}
}
}
// If we have a complete message, send it to X.AI
if (currentMessage) {
const stream = await this.openAiApiClient.chat.completions.create({
model: 'grok-2-latest',
messages: [{ role: currentMessage.role, content: currentMessage.content }],
stream: true,
});
// Process each chunk from X.AI
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) {
controller.enqueue(content);
}
}
currentMessage = null;
}
},
flush(controller) {
if (buffer) {
try {
const message = JSON.parse(buffer);
controller.enqueue(message.content || '');
} catch (e) {
console.error('Failed to parse remaining buffer:', e);
}
}
}
});
// Connect the input to our transform stream
return input.pipeThrough(transform);
}
public async chat(optionsArg: {
systemMessage: string;
userMessage: string;
messageHistory: { role: string; content: string; }[];
}): Promise<{ role: 'assistant'; message: string; }> {
// Prepare messages array with system message, history, and user message
const messages: ChatCompletionMessageParam[] = [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory.map(msg => ({
role: msg.role as 'system' | 'user' | 'assistant',
content: msg.content
})),
{ role: 'user', content: optionsArg.userMessage }
];
// Call X.AI's chat completion API
const completion = await this.openAiApiClient.chat.completions.create({
model: 'grok-2-latest',
messages: messages,
stream: false,
});
// Return the assistant's response
return {
role: 'assistant',
message: completion.choices[0]?.message?.content || ''
};
}
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
throw new Error('Audio generation is not supported by X.AI');
}
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
throw new Error('Vision tasks are not supported by X.AI');
}
public async document(optionsArg: {
systemMessage: string;
userMessage: string;
pdfDocuments: Uint8Array[];
messageHistory: { role: string; content: string; }[];
}): Promise<{ message: any }> {
// First convert PDF documents to images
let pdfDocumentImageBytesArray: Uint8Array[] = [];
for (const pdfDocument of optionsArg.pdfDocuments) {
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
pdfDocumentImageBytesArray = pdfDocumentImageBytesArray.concat(documentImageArray);
}
// Convert images to base64 for inclusion in the message
const imageBase64Array = pdfDocumentImageBytesArray.map(bytes =>
Buffer.from(bytes).toString('base64')
);
// Combine document images into the user message
const enhancedUserMessage = `
${optionsArg.userMessage}
Document contents (as images):
${imageBase64Array.map((img, i) => `Image ${i + 1}: <image data>`).join('\n')}
`;
// Use chat completion to analyze the documents
const messages: ChatCompletionMessageParam[] = [
{ role: 'system', content: optionsArg.systemMessage },
...optionsArg.messageHistory.map(msg => ({
role: msg.role as 'system' | 'user' | 'assistant',
content: msg.content
})),
{ role: 'user', content: enhancedUserMessage }
];
const completion = await this.openAiApiClient.chat.completions.create({
model: 'grok-2-latest',
messages: messages,
stream: false,
});
return {
message: completion.choices[0]?.message?.content || ''
};
}
}