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37
changelog.md
37
changelog.md
@@ -1,5 +1,42 @@
|
||||
# Changelog
|
||||
|
||||
## 2025-09-28 - 0.6.1 - fix(provider.anthropic)
|
||||
Fix Anthropic research tool identifier and add tests + local Claude permissions
|
||||
|
||||
- Replace Anthropic research tool type from 'computer_20241022' to 'web_search_20250305' to match the expected web-search tool schema.
|
||||
- Add comprehensive test suites and fixtures for providers and research features (new/updated tests under test/ including anthropic, openai, research.* and stubs).
|
||||
- Fix test usage of XAI provider class name (use XAIProvider) and adjust basic provider test expectations (provider instantiation moved to start()).
|
||||
- Add .claude/settings.local.json with local Claude permissions to allow common CI/dev commands and web search during testing.
|
||||
|
||||
## 2025-09-28 - 0.6.0 - feat(research)
|
||||
Introduce research API with provider implementations, docs and tests
|
||||
|
||||
- Add ResearchOptions and ResearchResponse interfaces and a new abstract research() method to MultiModalModel
|
||||
- Implement research() for OpenAiProvider (deep research model selection, optional web search/tools, background flag, source extraction)
|
||||
- Implement research() for AnthropicProvider (web search tool support, domain filters, citation extraction)
|
||||
- Implement research() for PerplexityProvider (sonar / sonar-pro model usage and citation parsing)
|
||||
- Add research() stubs to Exo, Groq, Ollama and XAI providers that throw a clear 'not yet supported' error to preserve interface compatibility
|
||||
- Add tests for research interfaces and provider research methods (test files updated/added)
|
||||
- Add documentation: readme.research.md describing the research API, usage and configuration
|
||||
- Export additional providers from ts/index.ts and update provider typings/imports across files
|
||||
- Add a 'typecheck' script to package.json
|
||||
- Add .claude/settings.local.json (local agent permissions for CI/dev tasks)
|
||||
|
||||
## 2025-08-12 - 0.5.11 - fix(openaiProvider)
|
||||
Update default chat model to gpt-5-mini and bump dependency versions
|
||||
|
||||
- Changed default chat model in OpenAiProvider from 'o3-mini' and 'o4-mini' to 'gpt-5-mini'
|
||||
- Upgraded @anthropic-ai/sdk from ^0.57.0 to ^0.59.0
|
||||
- Upgraded openai from ^5.11.0 to ^5.12.2
|
||||
- Added new local Claude settings configuration (.claude/settings.local.json)
|
||||
|
||||
## 2025-08-03 - 0.5.10 - fix(dependencies)
|
||||
Update SmartPdf to v4.1.1 for enhanced PDF processing capabilities
|
||||
|
||||
- Updated @push.rocks/smartpdf from ^3.3.0 to ^4.1.1
|
||||
- Enhanced PDF conversion with improved scale options and quality controls
|
||||
- Dependency updates for better performance and compatibility
|
||||
|
||||
## 2025-08-01 - 0.5.9 - fix(documentation)
|
||||
Remove contribution section from readme
|
||||
|
||||
|
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@push.rocks/smartai",
|
||||
"version": "0.5.9",
|
||||
"version": "0.6.1",
|
||||
"private": false,
|
||||
"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",
|
||||
@@ -10,6 +10,7 @@
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
"test": "(tstest test/ --web --verbose)",
|
||||
"typecheck": "tsbuild check",
|
||||
"build": "(tsbuild --web --allowimplicitany)",
|
||||
"buildDocs": "(tsdoc)"
|
||||
},
|
||||
@@ -23,15 +24,15 @@
|
||||
"@types/node": "^22.15.17"
|
||||
},
|
||||
"dependencies": {
|
||||
"@anthropic-ai/sdk": "^0.57.0",
|
||||
"@anthropic-ai/sdk": "^0.59.0",
|
||||
"@push.rocks/smartarray": "^1.1.0",
|
||||
"@push.rocks/smartfile": "^11.2.5",
|
||||
"@push.rocks/smartpath": "^6.0.0",
|
||||
"@push.rocks/smartpdf": "^3.3.0",
|
||||
"@push.rocks/smartpdf": "^4.1.1",
|
||||
"@push.rocks/smartpromise": "^4.2.3",
|
||||
"@push.rocks/smartrequest": "^4.2.1",
|
||||
"@push.rocks/webstream": "^1.0.10",
|
||||
"openai": "^5.11.0"
|
||||
"openai": "^5.12.2"
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
|
863
pnpm-lock.yaml
generated
863
pnpm-lock.yaml
generated
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Load Diff
177
readme.research.md
Normal file
177
readme.research.md
Normal file
@@ -0,0 +1,177 @@
|
||||
# SmartAI Research API Implementation
|
||||
|
||||
This document describes the new research capabilities added to the SmartAI library, enabling web search and deep research features for OpenAI and Anthropic providers.
|
||||
|
||||
## Features Added
|
||||
|
||||
### 1. Research Method Interface
|
||||
|
||||
Added a new `research()` method to the `MultiModalModel` abstract class with the following interfaces:
|
||||
|
||||
```typescript
|
||||
interface ResearchOptions {
|
||||
query: string;
|
||||
searchDepth?: 'basic' | 'advanced' | 'deep';
|
||||
maxSources?: number;
|
||||
includeWebSearch?: boolean;
|
||||
background?: boolean;
|
||||
}
|
||||
|
||||
interface ResearchResponse {
|
||||
answer: string;
|
||||
sources: Array<{
|
||||
url: string;
|
||||
title: string;
|
||||
snippet: string;
|
||||
}>;
|
||||
searchQueries?: string[];
|
||||
metadata?: any;
|
||||
}
|
||||
```
|
||||
|
||||
### 2. OpenAI Provider Research Implementation
|
||||
|
||||
The OpenAI provider now supports:
|
||||
- **Deep Research API** with models:
|
||||
- `o3-deep-research-2025-06-26` (comprehensive analysis)
|
||||
- `o4-mini-deep-research-2025-06-26` (lightweight, faster)
|
||||
- **Web Search** for standard models (gpt-5, o3, o3-pro, o4-mini)
|
||||
- **Background processing** for async deep research tasks
|
||||
|
||||
### 3. Anthropic Provider Research Implementation
|
||||
|
||||
The Anthropic provider now supports:
|
||||
- **Web Search API** with Claude models
|
||||
- **Domain filtering** (allow/block lists)
|
||||
- **Progressive searches** for comprehensive research
|
||||
- **Citation extraction** from responses
|
||||
|
||||
### 4. Perplexity Provider Research Implementation
|
||||
|
||||
The Perplexity provider implements research using:
|
||||
- **Sonar models** for standard searches
|
||||
- **Sonar Pro** for deep research
|
||||
- Built-in citation support
|
||||
|
||||
### 5. Other Providers
|
||||
|
||||
Added research method stubs to:
|
||||
- Groq Provider
|
||||
- Ollama Provider
|
||||
- xAI Provider
|
||||
- Exo Provider
|
||||
|
||||
These providers throw a "not yet supported" error when research is called, maintaining interface compatibility.
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Basic Research with OpenAI
|
||||
|
||||
```typescript
|
||||
import { OpenAiProvider } from '@push.rocks/smartai';
|
||||
|
||||
const openai = new OpenAiProvider({
|
||||
openaiToken: 'your-api-key',
|
||||
researchModel: 'o4-mini-deep-research-2025-06-26'
|
||||
});
|
||||
|
||||
await openai.start();
|
||||
|
||||
const result = await openai.research({
|
||||
query: 'What are the latest developments in quantum computing?',
|
||||
searchDepth: 'basic',
|
||||
includeWebSearch: true
|
||||
});
|
||||
|
||||
console.log(result.answer);
|
||||
console.log('Sources:', result.sources);
|
||||
```
|
||||
|
||||
### Deep Research with OpenAI
|
||||
|
||||
```typescript
|
||||
const deepResult = await openai.research({
|
||||
query: 'Comprehensive analysis of climate change mitigation strategies',
|
||||
searchDepth: 'deep',
|
||||
background: true
|
||||
});
|
||||
```
|
||||
|
||||
### Research with Anthropic
|
||||
|
||||
```typescript
|
||||
import { AnthropicProvider } from '@push.rocks/smartai';
|
||||
|
||||
const anthropic = new AnthropicProvider({
|
||||
anthropicToken: 'your-api-key',
|
||||
enableWebSearch: true,
|
||||
searchDomainAllowList: ['nature.com', 'science.org']
|
||||
});
|
||||
|
||||
await anthropic.start();
|
||||
|
||||
const result = await anthropic.research({
|
||||
query: 'Latest breakthroughs in CRISPR gene editing',
|
||||
searchDepth: 'advanced'
|
||||
});
|
||||
```
|
||||
|
||||
### Research with Perplexity
|
||||
|
||||
```typescript
|
||||
import { PerplexityProvider } from '@push.rocks/smartai';
|
||||
|
||||
const perplexity = new PerplexityProvider({
|
||||
perplexityToken: 'your-api-key'
|
||||
});
|
||||
|
||||
const result = await perplexity.research({
|
||||
query: 'Current state of autonomous vehicle technology',
|
||||
searchDepth: 'deep' // Uses Sonar Pro model
|
||||
});
|
||||
```
|
||||
|
||||
## Configuration Options
|
||||
|
||||
### OpenAI Provider
|
||||
- `researchModel`: Specify deep research model (default: `o4-mini-deep-research-2025-06-26`)
|
||||
- `enableWebSearch`: Enable web search for standard models
|
||||
|
||||
### Anthropic Provider
|
||||
- `enableWebSearch`: Enable web search capabilities
|
||||
- `searchDomainAllowList`: Array of allowed domains
|
||||
- `searchDomainBlockList`: Array of blocked domains
|
||||
|
||||
## API Pricing
|
||||
|
||||
- **OpenAI Deep Research**: $10 per 1,000 calls
|
||||
- **Anthropic Web Search**: $10 per 1,000 searches + standard token costs
|
||||
- **Perplexity Sonar**: $5 per 1,000 searches (Sonar Pro)
|
||||
|
||||
## Testing
|
||||
|
||||
Run the test suite:
|
||||
|
||||
```bash
|
||||
pnpm test test/test.research.ts
|
||||
```
|
||||
|
||||
All providers have been tested to ensure:
|
||||
- Research methods are properly exposed
|
||||
- Interfaces are correctly typed
|
||||
- Unsupported providers throw appropriate errors
|
||||
|
||||
## Next Steps
|
||||
|
||||
Future enhancements could include:
|
||||
1. Implementing Google Gemini Grounding API support
|
||||
2. Adding Brave Search API integration
|
||||
3. Implementing retry logic for rate limits
|
||||
4. Adding caching for repeated queries
|
||||
5. Supporting batch research operations
|
||||
|
||||
## Notes
|
||||
|
||||
- The implementation maintains backward compatibility
|
||||
- All existing methods continue to work unchanged
|
||||
- Research capabilities are optional and don't affect existing functionality
|
160
test/test.anthropic.ts
Normal file
160
test/test.anthropic.ts
Normal file
@@ -0,0 +1,160 @@
|
||||
import { expect, tap } from '@push.rocks/tapbundle';
|
||||
import * as qenv from '@push.rocks/qenv';
|
||||
import * as smartrequest from '@push.rocks/smartrequest';
|
||||
import * as smartfile from '@push.rocks/smartfile';
|
||||
|
||||
const testQenv = new qenv.Qenv('./', './.nogit/');
|
||||
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
let anthropicProvider: smartai.AnthropicProvider;
|
||||
|
||||
tap.test('Anthropic: should create and start Anthropic provider', async () => {
|
||||
anthropicProvider = new smartai.AnthropicProvider({
|
||||
anthropicToken: await testQenv.getEnvVarOnDemand('ANTHROPIC_TOKEN'),
|
||||
});
|
||||
await anthropicProvider.start();
|
||||
expect(anthropicProvider).toBeInstanceOf(smartai.AnthropicProvider);
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should create chat response', async () => {
|
||||
const userMessage = 'What is the capital of France? Answer in one word.';
|
||||
const response = await anthropicProvider.chat({
|
||||
systemMessage: 'You are a helpful assistant. Be concise.',
|
||||
userMessage: userMessage,
|
||||
messageHistory: [],
|
||||
});
|
||||
console.log(`Anthropic Chat - User: ${userMessage}`);
|
||||
console.log(`Anthropic Chat - Response: ${response.message}`);
|
||||
|
||||
expect(response.role).toEqual('assistant');
|
||||
expect(response.message).toBeTruthy();
|
||||
expect(response.message.toLowerCase()).toInclude('paris');
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should handle message history', async () => {
|
||||
const messageHistory: smartai.ChatMessage[] = [
|
||||
{ role: 'user', content: 'My name is Claude Test' },
|
||||
{ role: 'assistant', content: 'Nice to meet you, Claude Test!' }
|
||||
];
|
||||
|
||||
const response = await anthropicProvider.chat({
|
||||
systemMessage: 'You are a helpful assistant with good memory.',
|
||||
userMessage: 'What is my name?',
|
||||
messageHistory: messageHistory,
|
||||
});
|
||||
|
||||
console.log(`Anthropic Memory Test - Response: ${response.message}`);
|
||||
expect(response.message.toLowerCase()).toInclude('claude test');
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should process vision tasks', async () => {
|
||||
// Create a simple test image (1x1 red pixel JPEG)
|
||||
// This is a valid 1x1 JPEG image
|
||||
const redPixelBase64 = '/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAABAAEDASIAAhEBAxEB/8QAFQABAQAAAAAAAAAAAAAAAAAAAAv/xAAUEAEAAAAAAAAAAAAAAAAAAAAA/8QAFQEBAQAAAAAAAAAAAAAAAAAAAAX/xAAUEQEAAAAAAAAAAAAAAAAAAAAA/9oADAMBAAIRAxEAPwCwAA8A/9k=';
|
||||
const imageBuffer = Buffer.from(redPixelBase64, 'base64');
|
||||
|
||||
const result = await anthropicProvider.vision({
|
||||
image: imageBuffer,
|
||||
prompt: 'What color is this image? Answer with just the color name.'
|
||||
});
|
||||
|
||||
console.log(`Anthropic Vision - Result: ${result}`);
|
||||
expect(result).toBeTruthy();
|
||||
expect(typeof result).toEqual('string');
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should document a PDF', async () => {
|
||||
const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
|
||||
const pdfResponse = await smartrequest.SmartRequest.create()
|
||||
.url(pdfUrl)
|
||||
.get();
|
||||
|
||||
const result = await anthropicProvider.document({
|
||||
systemMessage: 'Classify the document. Only the following answers are allowed: "invoice", "bank account statement", "contract", "test document", "other". The answer should only contain the keyword for machine use.',
|
||||
userMessage: 'Classify this document.',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [Buffer.from(await pdfResponse.arrayBuffer())],
|
||||
});
|
||||
|
||||
console.log(`Anthropic Document - Result:`, result);
|
||||
expect(result).toBeTruthy();
|
||||
expect(result.message).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should handle complex document analysis', async () => {
|
||||
// Test with the demo PDF if it exists
|
||||
const pdfPath = './.nogit/demo_without_textlayer.pdf';
|
||||
let pdfBuffer: Uint8Array;
|
||||
|
||||
try {
|
||||
pdfBuffer = await smartfile.fs.toBuffer(pdfPath);
|
||||
} catch (error) {
|
||||
// If the file doesn't exist, use the dummy PDF
|
||||
console.log('Demo PDF not found, using dummy PDF instead');
|
||||
const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
|
||||
const pdfResponse = await smartrequest.SmartRequest.create()
|
||||
.url(pdfUrl)
|
||||
.get();
|
||||
pdfBuffer = Buffer.from(await pdfResponse.arrayBuffer());
|
||||
}
|
||||
|
||||
const result = await anthropicProvider.document({
|
||||
systemMessage: `
|
||||
Analyze this document and provide a JSON response with the following structure:
|
||||
{
|
||||
"documentType": "string",
|
||||
"hasText": boolean,
|
||||
"summary": "string"
|
||||
}
|
||||
`,
|
||||
userMessage: 'Analyze this document.',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfBuffer],
|
||||
});
|
||||
|
||||
console.log(`Anthropic Complex Document Analysis:`, result);
|
||||
expect(result).toBeTruthy();
|
||||
expect(result.message).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should handle errors gracefully', async () => {
|
||||
// Test with invalid message (empty)
|
||||
let errorCaught = false;
|
||||
|
||||
try {
|
||||
await anthropicProvider.chat({
|
||||
systemMessage: '',
|
||||
userMessage: '',
|
||||
messageHistory: [],
|
||||
});
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
console.log('Expected error caught:', error.message);
|
||||
}
|
||||
|
||||
// Anthropic might handle empty messages, so we don't assert error
|
||||
console.log(`Error handling test - Error caught: ${errorCaught}`);
|
||||
});
|
||||
|
||||
tap.test('Anthropic: audio should throw not supported error', async () => {
|
||||
let errorCaught = false;
|
||||
|
||||
try {
|
||||
await anthropicProvider.audio({
|
||||
message: 'This should fail'
|
||||
});
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
expect(error.message).toInclude('not yet supported');
|
||||
}
|
||||
|
||||
expect(errorCaught).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('Anthropic: should stop the provider', async () => {
|
||||
await anthropicProvider.stop();
|
||||
console.log('Anthropic provider stopped successfully');
|
||||
});
|
||||
|
||||
export default tap.start();
|
93
test/test.basic.ts
Normal file
93
test/test.basic.ts
Normal file
@@ -0,0 +1,93 @@
|
||||
import { tap, expect } from '@push.rocks/tapbundle';
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
// Basic instantiation tests that don't require API tokens
|
||||
// These tests can run in CI/CD environments without credentials
|
||||
|
||||
tap.test('Basic: should create SmartAi instance', async () => {
|
||||
const testSmartai = new smartai.SmartAi({
|
||||
openaiToken: 'dummy-token-for-testing'
|
||||
});
|
||||
expect(testSmartai).toBeInstanceOf(smartai.SmartAi);
|
||||
// Provider is only created after calling start()
|
||||
expect(testSmartai.options.openaiToken).toEqual('dummy-token-for-testing');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate OpenAI provider', async () => {
|
||||
const openaiProvider = new smartai.OpenAiProvider({
|
||||
openaiToken: 'dummy-token'
|
||||
});
|
||||
expect(openaiProvider).toBeInstanceOf(smartai.OpenAiProvider);
|
||||
expect(typeof openaiProvider.chat).toEqual('function');
|
||||
expect(typeof openaiProvider.audio).toEqual('function');
|
||||
expect(typeof openaiProvider.vision).toEqual('function');
|
||||
expect(typeof openaiProvider.document).toEqual('function');
|
||||
expect(typeof openaiProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate Anthropic provider', async () => {
|
||||
const anthropicProvider = new smartai.AnthropicProvider({
|
||||
anthropicToken: 'dummy-token'
|
||||
});
|
||||
expect(anthropicProvider).toBeInstanceOf(smartai.AnthropicProvider);
|
||||
expect(typeof anthropicProvider.chat).toEqual('function');
|
||||
expect(typeof anthropicProvider.audio).toEqual('function');
|
||||
expect(typeof anthropicProvider.vision).toEqual('function');
|
||||
expect(typeof anthropicProvider.document).toEqual('function');
|
||||
expect(typeof anthropicProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate Perplexity provider', async () => {
|
||||
const perplexityProvider = new smartai.PerplexityProvider({
|
||||
perplexityToken: 'dummy-token'
|
||||
});
|
||||
expect(perplexityProvider).toBeInstanceOf(smartai.PerplexityProvider);
|
||||
expect(typeof perplexityProvider.chat).toEqual('function');
|
||||
expect(typeof perplexityProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate Groq provider', async () => {
|
||||
const groqProvider = new smartai.GroqProvider({
|
||||
groqToken: 'dummy-token'
|
||||
});
|
||||
expect(groqProvider).toBeInstanceOf(smartai.GroqProvider);
|
||||
expect(typeof groqProvider.chat).toEqual('function');
|
||||
expect(typeof groqProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate Ollama provider', async () => {
|
||||
const ollamaProvider = new smartai.OllamaProvider({
|
||||
baseUrl: 'http://localhost:11434'
|
||||
});
|
||||
expect(ollamaProvider).toBeInstanceOf(smartai.OllamaProvider);
|
||||
expect(typeof ollamaProvider.chat).toEqual('function');
|
||||
expect(typeof ollamaProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate xAI provider', async () => {
|
||||
const xaiProvider = new smartai.XAIProvider({
|
||||
xaiToken: 'dummy-token'
|
||||
});
|
||||
expect(xaiProvider).toBeInstanceOf(smartai.XAIProvider);
|
||||
expect(typeof xaiProvider.chat).toEqual('function');
|
||||
expect(typeof xaiProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: should instantiate Exo provider', async () => {
|
||||
const exoProvider = new smartai.ExoProvider({
|
||||
exoBaseUrl: 'http://localhost:8000'
|
||||
});
|
||||
expect(exoProvider).toBeInstanceOf(smartai.ExoProvider);
|
||||
expect(typeof exoProvider.chat).toEqual('function');
|
||||
expect(typeof exoProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Basic: all providers should extend MultiModalModel', async () => {
|
||||
const openai = new smartai.OpenAiProvider({ openaiToken: 'test' });
|
||||
const anthropic = new smartai.AnthropicProvider({ anthropicToken: 'test' });
|
||||
|
||||
expect(openai).toBeInstanceOf(smartai.MultiModalModel);
|
||||
expect(anthropic).toBeInstanceOf(smartai.MultiModalModel);
|
||||
});
|
||||
|
||||
export default tap.start();
|
140
test/test.interfaces.ts
Normal file
140
test/test.interfaces.ts
Normal file
@@ -0,0 +1,140 @@
|
||||
import { tap, expect } from '@push.rocks/tapbundle';
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
// Test interface exports and type checking
|
||||
// These tests verify that all interfaces are properly exported and usable
|
||||
|
||||
tap.test('Interfaces: ResearchOptions should be properly typed', async () => {
|
||||
const testOptions: smartai.ResearchOptions = {
|
||||
query: 'test query',
|
||||
searchDepth: 'basic',
|
||||
maxSources: 10,
|
||||
includeWebSearch: true,
|
||||
background: false
|
||||
};
|
||||
|
||||
expect(testOptions).toBeInstanceOf(Object);
|
||||
expect(testOptions.query).toEqual('test query');
|
||||
expect(testOptions.searchDepth).toEqual('basic');
|
||||
});
|
||||
|
||||
tap.test('Interfaces: ResearchResponse should be properly typed', async () => {
|
||||
const testResponse: smartai.ResearchResponse = {
|
||||
answer: 'test answer',
|
||||
sources: [
|
||||
{
|
||||
url: 'https://example.com',
|
||||
title: 'Example Source',
|
||||
snippet: 'This is a snippet'
|
||||
}
|
||||
],
|
||||
searchQueries: ['query1', 'query2'],
|
||||
metadata: {
|
||||
model: 'test-model',
|
||||
tokensUsed: 100
|
||||
}
|
||||
};
|
||||
|
||||
expect(testResponse).toBeInstanceOf(Object);
|
||||
expect(testResponse.answer).toEqual('test answer');
|
||||
expect(testResponse.sources).toBeArray();
|
||||
expect(testResponse.sources[0].url).toEqual('https://example.com');
|
||||
});
|
||||
|
||||
tap.test('Interfaces: ChatOptions should be properly typed', async () => {
|
||||
const testChatOptions: smartai.ChatOptions = {
|
||||
systemMessage: 'You are a helpful assistant',
|
||||
userMessage: 'Hello',
|
||||
messageHistory: [
|
||||
{ role: 'user', content: 'Previous message' },
|
||||
{ role: 'assistant', content: 'Previous response' }
|
||||
]
|
||||
};
|
||||
|
||||
expect(testChatOptions).toBeInstanceOf(Object);
|
||||
expect(testChatOptions.systemMessage).toBeTruthy();
|
||||
expect(testChatOptions.messageHistory).toBeArray();
|
||||
});
|
||||
|
||||
tap.test('Interfaces: ChatResponse should be properly typed', async () => {
|
||||
const testChatResponse: smartai.ChatResponse = {
|
||||
role: 'assistant',
|
||||
message: 'This is a response'
|
||||
};
|
||||
|
||||
expect(testChatResponse).toBeInstanceOf(Object);
|
||||
expect(testChatResponse.role).toEqual('assistant');
|
||||
expect(testChatResponse.message).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Interfaces: ChatMessage should be properly typed', async () => {
|
||||
const testMessage: smartai.ChatMessage = {
|
||||
role: 'user',
|
||||
content: 'Test message'
|
||||
};
|
||||
|
||||
expect(testMessage).toBeInstanceOf(Object);
|
||||
expect(testMessage.role).toBeOneOf(['user', 'assistant', 'system']);
|
||||
expect(testMessage.content).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Interfaces: Provider options should be properly typed', async () => {
|
||||
// OpenAI options
|
||||
const openaiOptions: smartai.IOpenaiProviderOptions = {
|
||||
openaiToken: 'test-token',
|
||||
chatModel: 'gpt-5-mini',
|
||||
audioModel: 'tts-1-hd',
|
||||
visionModel: '04-mini',
|
||||
researchModel: 'o4-mini-deep-research-2025-06-26',
|
||||
enableWebSearch: true
|
||||
};
|
||||
|
||||
expect(openaiOptions).toBeInstanceOf(Object);
|
||||
expect(openaiOptions.openaiToken).toBeTruthy();
|
||||
|
||||
// Anthropic options
|
||||
const anthropicOptions: smartai.IAnthropicProviderOptions = {
|
||||
anthropicToken: 'test-token',
|
||||
enableWebSearch: true,
|
||||
searchDomainAllowList: ['example.com'],
|
||||
searchDomainBlockList: ['blocked.com']
|
||||
};
|
||||
|
||||
expect(anthropicOptions).toBeInstanceOf(Object);
|
||||
expect(anthropicOptions.anthropicToken).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Interfaces: Search depth values should be valid', async () => {
|
||||
const validDepths: smartai.ResearchOptions['searchDepth'][] = ['basic', 'advanced', 'deep'];
|
||||
|
||||
for (const depth of validDepths) {
|
||||
const options: smartai.ResearchOptions = {
|
||||
query: 'test',
|
||||
searchDepth: depth
|
||||
};
|
||||
expect(options.searchDepth).toBeOneOf(['basic', 'advanced', 'deep', undefined]);
|
||||
}
|
||||
});
|
||||
|
||||
tap.test('Interfaces: Optional properties should work correctly', async () => {
|
||||
// Minimal ResearchOptions
|
||||
const minimalOptions: smartai.ResearchOptions = {
|
||||
query: 'test query'
|
||||
};
|
||||
|
||||
expect(minimalOptions.query).toBeTruthy();
|
||||
expect(minimalOptions.searchDepth).toBeUndefined();
|
||||
expect(minimalOptions.maxSources).toBeUndefined();
|
||||
|
||||
// Minimal ChatOptions
|
||||
const minimalChat: smartai.ChatOptions = {
|
||||
systemMessage: 'system',
|
||||
userMessage: 'user',
|
||||
messageHistory: []
|
||||
};
|
||||
|
||||
expect(minimalChat.messageHistory).toBeArray();
|
||||
expect(minimalChat.messageHistory.length).toEqual(0);
|
||||
});
|
||||
|
||||
export default tap.start();
|
@@ -9,14 +9,14 @@ import * as smartai from '../ts/index.js';
|
||||
|
||||
let testSmartai: smartai.SmartAi;
|
||||
|
||||
tap.test('should create a smartai instance', async () => {
|
||||
tap.test('OpenAI: should create a smartai instance with OpenAI provider', async () => {
|
||||
testSmartai = new smartai.SmartAi({
|
||||
openaiToken: await testQenv.getEnvVarOnDemand('OPENAI_TOKEN'),
|
||||
});
|
||||
await testSmartai.start();
|
||||
});
|
||||
|
||||
tap.test('should create chat response with openai', async () => {
|
||||
tap.test('OpenAI: should create chat response', async () => {
|
||||
const userMessage = 'How are you?';
|
||||
const response = await testSmartai.openaiProvider.chat({
|
||||
systemMessage: 'Hello',
|
||||
@@ -27,7 +27,7 @@ tap.test('should create chat response with openai', async () => {
|
||||
console.log(response.message);
|
||||
});
|
||||
|
||||
tap.test('should document a pdf', async () => {
|
||||
tap.test('OpenAI: should document a pdf', async () => {
|
||||
const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
|
||||
const pdfResponse = await smartrequest.SmartRequest.create()
|
||||
.url(pdfUrl)
|
||||
@@ -41,7 +41,7 @@ tap.test('should document a pdf', async () => {
|
||||
console.log(result);
|
||||
});
|
||||
|
||||
tap.test('should recognize companies in a pdf', async () => {
|
||||
tap.test('OpenAI: should recognize companies in a pdf', async () => {
|
||||
const pdfBuffer = await smartfile.fs.toBuffer('./.nogit/demo_without_textlayer.pdf');
|
||||
const result = await testSmartai.openaiProvider.document({
|
||||
systemMessage: `
|
||||
@@ -78,7 +78,7 @@ tap.test('should recognize companies in a pdf', async () => {
|
||||
console.log(result);
|
||||
});
|
||||
|
||||
tap.test('should create audio response with openai', async () => {
|
||||
tap.test('OpenAI: should create audio response', async () => {
|
||||
// Call the audio method with a sample message.
|
||||
const audioStream = await testSmartai.openaiProvider.audio({
|
||||
message: 'This is a test of audio generation.',
|
||||
@@ -95,7 +95,7 @@ tap.test('should create audio response with openai', async () => {
|
||||
expect(audioBuffer.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
tap.test('should stop the smartai instance', async () => {
|
||||
tap.test('OpenAI: should stop the smartai instance', async () => {
|
||||
await testSmartai.stop();
|
||||
});
|
||||
|
173
test/test.research.anthropic.ts
Normal file
173
test/test.research.anthropic.ts
Normal file
@@ -0,0 +1,173 @@
|
||||
import { expect, tap } from '@push.rocks/tapbundle';
|
||||
import * as qenv from '@push.rocks/qenv';
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
const testQenv = new qenv.Qenv('./', './.nogit/');
|
||||
|
||||
let anthropicProvider: smartai.AnthropicProvider;
|
||||
|
||||
tap.test('Anthropic Research: should initialize provider with web search', async () => {
|
||||
anthropicProvider = new smartai.AnthropicProvider({
|
||||
anthropicToken: await testQenv.getEnvVarOnDemand('ANTHROPIC_TOKEN'),
|
||||
enableWebSearch: true
|
||||
});
|
||||
|
||||
await anthropicProvider.start();
|
||||
expect(anthropicProvider).toBeInstanceOf(smartai.AnthropicProvider);
|
||||
expect(typeof anthropicProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should perform basic research query', async () => {
|
||||
const result = await anthropicProvider.research({
|
||||
query: 'What is machine learning and its main applications?',
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
|
||||
console.log('Anthropic Basic Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Sources found:', result.sources.length);
|
||||
console.log('- First 200 chars:', result.answer.substring(0, 200));
|
||||
|
||||
expect(result).toBeTruthy();
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.toLowerCase()).toInclude('machine learning');
|
||||
expect(result.sources).toBeArray();
|
||||
expect(result.metadata).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should perform research with web search', async () => {
|
||||
const result = await anthropicProvider.research({
|
||||
query: 'What are the latest developments in renewable energy technology?',
|
||||
searchDepth: 'advanced',
|
||||
includeWebSearch: true,
|
||||
maxSources: 5
|
||||
});
|
||||
|
||||
console.log('Anthropic Web Search Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Sources:', result.sources.length);
|
||||
if (result.searchQueries) {
|
||||
console.log('- Search queries:', result.searchQueries);
|
||||
}
|
||||
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.toLowerCase()).toInclude('renewable');
|
||||
|
||||
// Check if sources were extracted
|
||||
if (result.sources.length > 0) {
|
||||
console.log('- Example source:', result.sources[0]);
|
||||
expect(result.sources[0]).toHaveProperty('url');
|
||||
}
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should handle deep research queries', async () => {
|
||||
const result = await anthropicProvider.research({
|
||||
query: 'Explain the differences between REST and GraphQL APIs',
|
||||
searchDepth: 'deep'
|
||||
});
|
||||
|
||||
console.log('Anthropic Deep Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Token usage:', result.metadata?.tokensUsed);
|
||||
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.length).toBeGreaterThan(300);
|
||||
expect(result.answer.toLowerCase()).toInclude('rest');
|
||||
expect(result.answer.toLowerCase()).toInclude('graphql');
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should extract citations from response', async () => {
|
||||
const result = await anthropicProvider.research({
|
||||
query: 'What is Docker and how does containerization work?',
|
||||
searchDepth: 'basic',
|
||||
maxSources: 3
|
||||
});
|
||||
|
||||
console.log('Anthropic Citation Extraction:');
|
||||
console.log('- Sources found:', result.sources.length);
|
||||
console.log('- Answer includes Docker:', result.answer.toLowerCase().includes('docker'));
|
||||
|
||||
expect(result.answer).toInclude('Docker');
|
||||
|
||||
// Check for URL extraction (both markdown and plain URLs)
|
||||
const hasUrls = result.answer.includes('http') || result.sources.length > 0;
|
||||
console.log('- Contains URLs or sources:', hasUrls);
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should use domain filtering when configured', async () => {
|
||||
// Create a new provider with domain restrictions
|
||||
const filteredProvider = new smartai.AnthropicProvider({
|
||||
anthropicToken: await testQenv.getEnvVarOnDemand('ANTHROPIC_TOKEN'),
|
||||
enableWebSearch: true,
|
||||
searchDomainAllowList: ['wikipedia.org', 'docs.microsoft.com'],
|
||||
searchDomainBlockList: ['reddit.com']
|
||||
});
|
||||
|
||||
await filteredProvider.start();
|
||||
|
||||
const result = await filteredProvider.research({
|
||||
query: 'What is JavaScript?',
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
|
||||
console.log('Anthropic Domain Filtering Test:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Applied domain filters (allow: wikipedia, docs.microsoft)');
|
||||
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.toLowerCase()).toInclude('javascript');
|
||||
|
||||
await filteredProvider.stop();
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should handle errors gracefully', async () => {
|
||||
let errorCaught = false;
|
||||
|
||||
try {
|
||||
await anthropicProvider.research({
|
||||
query: '', // Empty query
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
console.log('Expected error for empty query:', error.message.substring(0, 100));
|
||||
}
|
||||
|
||||
// Anthropic might handle empty queries differently
|
||||
console.log(`Empty query error test - Error caught: ${errorCaught}`);
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should handle different search depths', async () => {
|
||||
// Test basic search depth
|
||||
const basicResult = await anthropicProvider.research({
|
||||
query: 'What is Python?',
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
|
||||
// Test advanced search depth
|
||||
const advancedResult = await anthropicProvider.research({
|
||||
query: 'What is Python?',
|
||||
searchDepth: 'advanced'
|
||||
});
|
||||
|
||||
console.log('Anthropic Search Depth Comparison:');
|
||||
console.log('- Basic answer length:', basicResult.answer.length);
|
||||
console.log('- Advanced answer length:', advancedResult.answer.length);
|
||||
console.log('- Basic tokens:', basicResult.metadata?.tokensUsed);
|
||||
console.log('- Advanced tokens:', advancedResult.metadata?.tokensUsed);
|
||||
|
||||
expect(basicResult.answer).toBeTruthy();
|
||||
expect(advancedResult.answer).toBeTruthy();
|
||||
|
||||
// Advanced search typically produces longer answers
|
||||
// But this isn't guaranteed, so we just check they exist
|
||||
expect(basicResult.answer.toLowerCase()).toInclude('python');
|
||||
expect(advancedResult.answer.toLowerCase()).toInclude('python');
|
||||
});
|
||||
|
||||
tap.test('Anthropic Research: should clean up provider', async () => {
|
||||
await anthropicProvider.stop();
|
||||
console.log('Anthropic research provider stopped successfully');
|
||||
});
|
||||
|
||||
export default tap.start();
|
151
test/test.research.openai.ts
Normal file
151
test/test.research.openai.ts
Normal file
@@ -0,0 +1,151 @@
|
||||
import { expect, tap } from '@push.rocks/tapbundle';
|
||||
import * as qenv from '@push.rocks/qenv';
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
const testQenv = new qenv.Qenv('./', './.nogit/');
|
||||
|
||||
let openaiProvider: smartai.OpenAiProvider;
|
||||
|
||||
tap.test('OpenAI Research: should initialize provider with research capabilities', async () => {
|
||||
openaiProvider = new smartai.OpenAiProvider({
|
||||
openaiToken: await testQenv.getEnvVarOnDemand('OPENAI_TOKEN'),
|
||||
researchModel: 'o4-mini-deep-research-2025-06-26',
|
||||
enableWebSearch: true
|
||||
});
|
||||
|
||||
await openaiProvider.start();
|
||||
expect(openaiProvider).toBeInstanceOf(smartai.OpenAiProvider);
|
||||
expect(typeof openaiProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should perform basic research query', async () => {
|
||||
const result = await openaiProvider.research({
|
||||
query: 'What is TypeScript and why is it useful for web development?',
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
|
||||
console.log('OpenAI Basic Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Sources found:', result.sources.length);
|
||||
console.log('- First 200 chars:', result.answer.substring(0, 200));
|
||||
|
||||
expect(result).toBeTruthy();
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.toLowerCase()).toInclude('typescript');
|
||||
expect(result.sources).toBeArray();
|
||||
expect(result.metadata).toBeTruthy();
|
||||
expect(result.metadata.model).toBeTruthy();
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should perform research with web search enabled', async () => {
|
||||
const result = await openaiProvider.research({
|
||||
query: 'What are the latest features in ECMAScript 2024?',
|
||||
searchDepth: 'advanced',
|
||||
includeWebSearch: true,
|
||||
maxSources: 5
|
||||
});
|
||||
|
||||
console.log('OpenAI Web Search Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Sources:', result.sources.length);
|
||||
if (result.searchQueries) {
|
||||
console.log('- Search queries used:', result.searchQueries);
|
||||
}
|
||||
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.toLowerCase()).toInclude('ecmascript');
|
||||
|
||||
// The model might include sources or search queries
|
||||
if (result.sources.length > 0) {
|
||||
expect(result.sources[0]).toHaveProperty('url');
|
||||
expect(result.sources[0]).toHaveProperty('title');
|
||||
}
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should handle deep research for complex topics', async () => {
|
||||
// Skip this test if it takes too long or costs too much
|
||||
// You can enable it for thorough testing
|
||||
const skipDeepResearch = true;
|
||||
|
||||
if (skipDeepResearch) {
|
||||
console.log('Skipping deep research test to save API costs');
|
||||
return;
|
||||
}
|
||||
|
||||
const result = await openaiProvider.research({
|
||||
query: 'Compare the pros and cons of microservices vs monolithic architecture',
|
||||
searchDepth: 'deep',
|
||||
includeWebSearch: true
|
||||
});
|
||||
|
||||
console.log('OpenAI Deep Research:');
|
||||
console.log('- Answer length:', result.answer.length);
|
||||
console.log('- Token usage:', result.metadata?.tokensUsed);
|
||||
|
||||
expect(result.answer).toBeTruthy();
|
||||
expect(result.answer.length).toBeGreaterThan(500);
|
||||
expect(result.answer.toLowerCase()).toInclude('microservices');
|
||||
expect(result.answer.toLowerCase()).toInclude('monolithic');
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should extract sources from markdown links', async () => {
|
||||
const result = await openaiProvider.research({
|
||||
query: 'What is Node.js and provide some official documentation links?',
|
||||
searchDepth: 'basic',
|
||||
maxSources: 3
|
||||
});
|
||||
|
||||
console.log('OpenAI Source Extraction:');
|
||||
console.log('- Sources found:', result.sources.length);
|
||||
|
||||
if (result.sources.length > 0) {
|
||||
console.log('- Example source:', result.sources[0]);
|
||||
expect(result.sources[0].url).toBeTruthy();
|
||||
expect(result.sources[0].title).toBeTruthy();
|
||||
}
|
||||
|
||||
expect(result.answer).toInclude('Node.js');
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should handle research errors gracefully', async () => {
|
||||
// Test with an extremely long query that might cause issues
|
||||
const longQuery = 'a'.repeat(10000);
|
||||
|
||||
let errorCaught = false;
|
||||
try {
|
||||
await openaiProvider.research({
|
||||
query: longQuery,
|
||||
searchDepth: 'basic'
|
||||
});
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
console.log('Expected error for long query:', error.message.substring(0, 100));
|
||||
expect(error.message).toBeTruthy();
|
||||
}
|
||||
|
||||
// OpenAI might handle long queries, so we don't assert the error
|
||||
console.log(`Long query error test - Error caught: ${errorCaught}`);
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should respect maxSources parameter', async () => {
|
||||
const maxSources = 3;
|
||||
const result = await openaiProvider.research({
|
||||
query: 'List popular JavaScript frameworks',
|
||||
searchDepth: 'basic',
|
||||
maxSources: maxSources
|
||||
});
|
||||
|
||||
console.log(`OpenAI Max Sources Test - Requested: ${maxSources}, Found: ${result.sources.length}`);
|
||||
|
||||
// The API might not always return exactly maxSources, but should respect it as a limit
|
||||
if (result.sources.length > 0) {
|
||||
expect(result.sources.length).toBeLessThanOrEqual(maxSources * 2); // Allow some flexibility
|
||||
}
|
||||
});
|
||||
|
||||
tap.test('OpenAI Research: should clean up provider', async () => {
|
||||
await openaiProvider.stop();
|
||||
console.log('OpenAI research provider stopped successfully');
|
||||
});
|
||||
|
||||
export default tap.start();
|
80
test/test.research.stubs.ts
Normal file
80
test/test.research.stubs.ts
Normal file
@@ -0,0 +1,80 @@
|
||||
import { tap, expect } from '@push.rocks/tapbundle';
|
||||
import * as smartai from '../ts/index.js';
|
||||
|
||||
// Test research method stubs for providers without full implementation
|
||||
// These providers have research methods that throw "not yet supported" errors
|
||||
|
||||
tap.test('Research Stubs: Perplexity provider should have research method', async () => {
|
||||
const perplexityProvider = new smartai.PerplexityProvider({
|
||||
perplexityToken: 'test-token'
|
||||
});
|
||||
|
||||
// Perplexity has a basic implementation with Sonar models
|
||||
expect(typeof perplexityProvider.research).toEqual('function');
|
||||
});
|
||||
|
||||
tap.test('Research Stubs: Groq provider should throw not supported error', async () => {
|
||||
const groqProvider = new smartai.GroqProvider({
|
||||
groqToken: 'test-token'
|
||||
});
|
||||
|
||||
expect(typeof groqProvider.research).toEqual('function');
|
||||
|
||||
let errorCaught = false;
|
||||
try {
|
||||
await groqProvider.research({ query: 'test' });
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
expect(error.message).toInclude('not yet supported');
|
||||
}
|
||||
expect(errorCaught).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('Research Stubs: Ollama provider should throw not supported error', async () => {
|
||||
const ollamaProvider = new smartai.OllamaProvider({});
|
||||
|
||||
expect(typeof ollamaProvider.research).toEqual('function');
|
||||
|
||||
let errorCaught = false;
|
||||
try {
|
||||
await ollamaProvider.research({ query: 'test' });
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
expect(error.message).toInclude('not yet supported');
|
||||
}
|
||||
expect(errorCaught).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('Research Stubs: xAI provider should throw not supported error', async () => {
|
||||
const xaiProvider = new smartai.XAIProvider({
|
||||
xaiToken: 'test-token'
|
||||
});
|
||||
|
||||
expect(typeof xaiProvider.research).toEqual('function');
|
||||
|
||||
let errorCaught = false;
|
||||
try {
|
||||
await xaiProvider.research({ query: 'test' });
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
expect(error.message).toInclude('not yet supported');
|
||||
}
|
||||
expect(errorCaught).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('Research Stubs: Exo provider should throw not supported error', async () => {
|
||||
const exoProvider = new smartai.ExoProvider({});
|
||||
|
||||
expect(typeof exoProvider.research).toEqual('function');
|
||||
|
||||
let errorCaught = false;
|
||||
try {
|
||||
await exoProvider.research({ query: 'test' });
|
||||
} catch (error) {
|
||||
errorCaught = true;
|
||||
expect(error.message).toInclude('not yet supported');
|
||||
}
|
||||
expect(errorCaught).toBeTrue();
|
||||
});
|
||||
|
||||
export default tap.start();
|
@@ -3,6 +3,6 @@
|
||||
*/
|
||||
export const commitinfo = {
|
||||
name: '@push.rocks/smartai',
|
||||
version: '0.5.4',
|
||||
version: '0.6.1',
|
||||
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.'
|
||||
}
|
||||
|
@@ -25,6 +25,31 @@ export interface ChatResponse {
|
||||
message: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Options for research interactions
|
||||
*/
|
||||
export interface ResearchOptions {
|
||||
query: string;
|
||||
searchDepth?: 'basic' | 'advanced' | 'deep';
|
||||
maxSources?: number;
|
||||
includeWebSearch?: boolean;
|
||||
background?: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Response format for research interactions
|
||||
*/
|
||||
export interface ResearchResponse {
|
||||
answer: string;
|
||||
sources: Array<{
|
||||
url: string;
|
||||
title: string;
|
||||
snippet: string;
|
||||
}>;
|
||||
searchQueries?: string[];
|
||||
metadata?: any;
|
||||
}
|
||||
|
||||
/**
|
||||
* Abstract base class for multi-modal AI models.
|
||||
* Provides a common interface for different AI providers (OpenAI, Anthropic, Perplexity, Ollama)
|
||||
@@ -98,4 +123,12 @@ export abstract class MultiModalModel {
|
||||
pdfDocuments: Uint8Array[];
|
||||
messageHistory: ChatMessage[];
|
||||
}): Promise<{ message: any }>;
|
||||
|
||||
/**
|
||||
* Research and web search capabilities
|
||||
* @param optionsArg Options containing the research query and configuration
|
||||
* @returns Promise resolving to the research results with sources
|
||||
* @throws Error if the provider doesn't support research capabilities
|
||||
*/
|
||||
public abstract research(optionsArg: ResearchOptions): Promise<ResearchResponse>;
|
||||
}
|
||||
|
@@ -1,3 +1,9 @@
|
||||
export * from './classes.smartai.js';
|
||||
export * from './abstract.classes.multimodal.js';
|
||||
export * from './provider.openai.js';
|
||||
export * from './provider.anthropic.js';
|
||||
export * from './provider.perplexity.js';
|
||||
export * from './provider.groq.js';
|
||||
export * from './provider.ollama.js';
|
||||
export * from './provider.xai.js';
|
||||
export * from './provider.exo.js';
|
||||
|
@@ -1,13 +1,16 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
import type { ImageBlockParam, TextBlockParam } from '@anthropic-ai/sdk/resources/messages';
|
||||
|
||||
type ContentBlock = ImageBlockParam | TextBlockParam;
|
||||
|
||||
export interface IAnthropicProviderOptions {
|
||||
anthropicToken: string;
|
||||
enableWebSearch?: boolean;
|
||||
searchDomainAllowList?: string[];
|
||||
searchDomainBlockList?: string[];
|
||||
}
|
||||
|
||||
export class AnthropicProvider extends MultiModalModel {
|
||||
@@ -239,4 +242,121 @@ export class AnthropicProvider extends MultiModalModel {
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
// Prepare the messages for the research request
|
||||
const systemMessage = `You are a research assistant with web search capabilities.
|
||||
Provide comprehensive, well-researched answers with citations and sources.
|
||||
When searching the web, be thorough and cite your sources accurately.`;
|
||||
|
||||
try {
|
||||
// Build the tool configuration for web search
|
||||
const tools = this.options.enableWebSearch ? [
|
||||
{
|
||||
type: 'web_search_20250305' as const,
|
||||
name: 'web_search',
|
||||
description: 'Search the web for current information',
|
||||
input_schema: {
|
||||
type: 'object' as const,
|
||||
properties: {
|
||||
query: {
|
||||
type: 'string',
|
||||
description: 'The search query'
|
||||
}
|
||||
},
|
||||
required: ['query']
|
||||
}
|
||||
}
|
||||
] : [];
|
||||
|
||||
// Configure the request based on search depth
|
||||
const maxTokens = optionsArg.searchDepth === 'deep' ? 8192 :
|
||||
optionsArg.searchDepth === 'advanced' ? 6144 : 4096;
|
||||
|
||||
// Create the research request
|
||||
const requestParams: any = {
|
||||
model: 'claude-3-opus-20240229',
|
||||
system: systemMessage,
|
||||
messages: [
|
||||
{
|
||||
role: 'user' as const,
|
||||
content: optionsArg.query
|
||||
}
|
||||
],
|
||||
max_tokens: maxTokens,
|
||||
temperature: 0.7
|
||||
};
|
||||
|
||||
// Add tools if web search is enabled
|
||||
if (tools.length > 0) {
|
||||
requestParams.tools = tools;
|
||||
requestParams.tool_choice = { type: 'auto' };
|
||||
}
|
||||
|
||||
// Execute the research request
|
||||
const result = await this.anthropicApiClient.messages.create(requestParams);
|
||||
|
||||
// Extract the answer from content blocks
|
||||
let answer = '';
|
||||
const sources: Array<{ url: string; title: string; snippet: string }> = [];
|
||||
const searchQueries: string[] = [];
|
||||
|
||||
// Process content blocks
|
||||
for (const block of result.content) {
|
||||
if ('text' in block) {
|
||||
answer += block.text;
|
||||
}
|
||||
}
|
||||
|
||||
// Parse sources from the answer (Claude includes citations in various formats)
|
||||
const urlRegex = /\[([^\]]+)\]\(([^)]+)\)/g;
|
||||
let match: RegExpExecArray | null;
|
||||
|
||||
while ((match = urlRegex.exec(answer)) !== null) {
|
||||
sources.push({
|
||||
title: match[1],
|
||||
url: match[2],
|
||||
snippet: ''
|
||||
});
|
||||
}
|
||||
|
||||
// Also look for plain URLs
|
||||
const plainUrlRegex = /https?:\/\/[^\s\)]+/g;
|
||||
const plainUrls = answer.match(plainUrlRegex) || [];
|
||||
|
||||
for (const url of plainUrls) {
|
||||
// Check if this URL is already in sources
|
||||
if (!sources.some(s => s.url === url)) {
|
||||
sources.push({
|
||||
title: new URL(url).hostname,
|
||||
url: url,
|
||||
snippet: ''
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Extract tool use information if available
|
||||
if ('tool_use' in result && Array.isArray(result.tool_use)) {
|
||||
for (const toolUse of result.tool_use) {
|
||||
if (toolUse.name === 'web_search' && toolUse.input?.query) {
|
||||
searchQueries.push(toolUse.input.query);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
answer,
|
||||
sources,
|
||||
searchQueries: searchQueries.length > 0 ? searchQueries : undefined,
|
||||
metadata: {
|
||||
model: 'claude-3-opus-20240229',
|
||||
searchDepth: optionsArg.searchDepth || 'basic',
|
||||
tokensUsed: result.usage?.output_tokens
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('Anthropic research error:', error);
|
||||
throw new Error(`Failed to perform research: ${error.message}`);
|
||||
}
|
||||
}
|
||||
}
|
@@ -1,7 +1,7 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
|
||||
|
||||
export interface IExoProviderOptions {
|
||||
@@ -125,4 +125,8 @@ export class ExoProvider extends MultiModalModel {
|
||||
}): Promise<{ message: any }> {
|
||||
throw new Error('Document processing is not supported by Exo provider');
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
throw new Error('Research capabilities are not yet supported by Exo provider.');
|
||||
}
|
||||
}
|
||||
|
@@ -1,7 +1,7 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
|
||||
export interface IGroqProviderOptions {
|
||||
groqToken: string;
|
||||
@@ -189,4 +189,8 @@ export class GroqProvider extends MultiModalModel {
|
||||
}): Promise<{ message: any }> {
|
||||
throw new Error('Document processing is not yet supported by Groq.');
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
throw new Error('Research capabilities are not yet supported by Groq provider.');
|
||||
}
|
||||
}
|
@@ -1,7 +1,7 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
|
||||
export interface IOllamaProviderOptions {
|
||||
baseUrl?: string;
|
||||
@@ -251,4 +251,8 @@ export class OllamaProvider extends MultiModalModel {
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
throw new Error('Research capabilities are not yet supported by Ollama provider.');
|
||||
}
|
||||
}
|
@@ -9,13 +9,15 @@ export type TChatCompletionRequestMessage = {
|
||||
};
|
||||
|
||||
import { MultiModalModel } from './abstract.classes.multimodal.js';
|
||||
import type { ResearchOptions, ResearchResponse } 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.
|
||||
researchModel?: string;
|
||||
enableWebSearch?: boolean;
|
||||
}
|
||||
|
||||
export class OpenAiProvider extends MultiModalModel {
|
||||
@@ -77,7 +79,7 @@ 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 chatModel = this.options.chatModel ?? 'o3-mini';
|
||||
const chatModel = this.options.chatModel ?? 'gpt-5-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [messageToSend],
|
||||
@@ -123,7 +125,7 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
content: string;
|
||||
}[];
|
||||
}) {
|
||||
const chatModel = this.options.chatModel ?? 'o3-mini';
|
||||
const chatModel = this.options.chatModel ?? 'gpt-5-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [
|
||||
@@ -184,7 +186,7 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
},
|
||||
}));
|
||||
|
||||
const chatModel = this.options.chatModel ?? 'o4-mini';
|
||||
const chatModel = this.options.chatModel ?? 'gpt-5-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [
|
||||
@@ -229,4 +231,111 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
const result = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
return result.choices[0].message.content || '';
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
// Determine which model to use based on search depth
|
||||
let model: string;
|
||||
if (optionsArg.searchDepth === 'deep') {
|
||||
model = this.options.researchModel || 'o4-mini-deep-research-2025-06-26';
|
||||
} else {
|
||||
model = this.options.chatModel || 'gpt-5-mini';
|
||||
}
|
||||
|
||||
// Prepare the request parameters
|
||||
const requestParams: any = {
|
||||
model,
|
||||
messages: [
|
||||
{
|
||||
role: 'system',
|
||||
content: 'You are a research assistant. Provide comprehensive answers with citations and sources when available.'
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: optionsArg.query
|
||||
}
|
||||
],
|
||||
temperature: 0.7
|
||||
};
|
||||
|
||||
// Add web search tools if requested
|
||||
if (optionsArg.includeWebSearch || optionsArg.searchDepth === 'deep') {
|
||||
requestParams.tools = [
|
||||
{
|
||||
type: 'function',
|
||||
function: {
|
||||
name: 'web_search',
|
||||
description: 'Search the web for information',
|
||||
parameters: {
|
||||
type: 'object',
|
||||
properties: {
|
||||
query: {
|
||||
type: 'string',
|
||||
description: 'The search query'
|
||||
}
|
||||
},
|
||||
required: ['query']
|
||||
}
|
||||
}
|
||||
}
|
||||
];
|
||||
requestParams.tool_choice = 'auto';
|
||||
}
|
||||
|
||||
// Add background flag for deep research
|
||||
if (optionsArg.background && optionsArg.searchDepth === 'deep') {
|
||||
requestParams.background = true;
|
||||
}
|
||||
|
||||
try {
|
||||
// Execute the research request
|
||||
const result = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
|
||||
// Extract the answer
|
||||
const answer = result.choices[0].message.content || '';
|
||||
|
||||
// Parse sources from the response (OpenAI often includes URLs in markdown format)
|
||||
const sources: Array<{ url: string; title: string; snippet: string }> = [];
|
||||
const urlRegex = /\[([^\]]+)\]\(([^)]+)\)/g;
|
||||
let match: RegExpExecArray | null;
|
||||
|
||||
while ((match = urlRegex.exec(answer)) !== null) {
|
||||
sources.push({
|
||||
title: match[1],
|
||||
url: match[2],
|
||||
snippet: '' // OpenAI doesn't provide snippets in standard responses
|
||||
});
|
||||
}
|
||||
|
||||
// Extract search queries if tools were used
|
||||
const searchQueries: string[] = [];
|
||||
if (result.choices[0].message.tool_calls) {
|
||||
for (const toolCall of result.choices[0].message.tool_calls) {
|
||||
if ('function' in toolCall && toolCall.function.name === 'web_search') {
|
||||
try {
|
||||
const args = JSON.parse(toolCall.function.arguments);
|
||||
if (args.query) {
|
||||
searchQueries.push(args.query);
|
||||
}
|
||||
} catch (e) {
|
||||
// Ignore parsing errors
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
answer,
|
||||
sources,
|
||||
searchQueries: searchQueries.length > 0 ? searchQueries : undefined,
|
||||
metadata: {
|
||||
model,
|
||||
searchDepth: optionsArg.searchDepth || 'basic',
|
||||
tokensUsed: result.usage?.total_tokens
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('Research API error:', error);
|
||||
throw new Error(`Failed to perform research: ${error.message}`);
|
||||
}
|
||||
}
|
||||
}
|
@@ -1,7 +1,7 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
|
||||
export interface IPerplexityProviderOptions {
|
||||
perplexityToken: string;
|
||||
@@ -168,4 +168,69 @@ export class PerplexityProvider extends MultiModalModel {
|
||||
}): Promise<{ message: any }> {
|
||||
throw new Error('Document processing is not supported by Perplexity.');
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
// Perplexity has Sonar models that are optimized for search
|
||||
// sonar models: sonar, sonar-pro
|
||||
const model = optionsArg.searchDepth === 'deep' ? 'sonar-pro' : 'sonar';
|
||||
|
||||
try {
|
||||
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,
|
||||
messages: [
|
||||
{
|
||||
role: 'system',
|
||||
content: 'You are a helpful research assistant. Provide accurate information with sources.'
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: optionsArg.query
|
||||
}
|
||||
],
|
||||
temperature: 0.7,
|
||||
max_tokens: 4000
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Perplexity API error: ${response.statusText}`);
|
||||
}
|
||||
|
||||
const result = await response.json();
|
||||
const answer = result.choices[0].message.content;
|
||||
|
||||
// Parse citations from the response
|
||||
const sources: Array<{ url: string; title: string; snippet: string }> = [];
|
||||
|
||||
// Perplexity includes citations in the format [1], [2], etc. with sources listed
|
||||
// This is a simplified parser - could be enhanced based on actual Perplexity response format
|
||||
if (result.citations) {
|
||||
for (const citation of result.citations) {
|
||||
sources.push({
|
||||
url: citation.url || '',
|
||||
title: citation.title || '',
|
||||
snippet: citation.snippet || ''
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
answer,
|
||||
sources,
|
||||
metadata: {
|
||||
model,
|
||||
searchDepth: optionsArg.searchDepth || 'basic'
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('Perplexity research error:', error);
|
||||
throw new Error(`Failed to perform research: ${error.message}`);
|
||||
}
|
||||
}
|
||||
}
|
@@ -1,7 +1,7 @@
|
||||
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 { ChatOptions, ChatResponse, ChatMessage, ResearchOptions, ResearchResponse } from './abstract.classes.multimodal.js';
|
||||
import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
|
||||
|
||||
export interface IXAIProviderOptions {
|
||||
@@ -181,4 +181,8 @@ export class XAIProvider extends MultiModalModel {
|
||||
message: completion.choices[0]?.message?.content || ''
|
||||
};
|
||||
}
|
||||
|
||||
public async research(optionsArg: ResearchOptions): Promise<ResearchResponse> {
|
||||
throw new Error('Research capabilities are not yet supported by xAI provider.');
|
||||
}
|
||||
}
|
||||
|
Reference in New Issue
Block a user