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Merge pull request #44 from SentienceAPI/agent_abstraction
Phase 1/2: Add agent abstraction layer
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‎README.md‎

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npx playwright install chromium
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```
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## Quick Start
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## Quick Start: Choose Your Abstraction Level
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Sentience SDK offers **4 levels of abstraction** - choose based on your needs:
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### 💬 Level 4: Conversational Agent (Highest Abstraction) - **NEW in v0.3.0**
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Complete automation with natural conversation. Just describe what you want, and the agent plans and executes everything:
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```typescript
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import { SentienceBrowser, ConversationalAgent, OpenAIProvider } from 'sentience-ts';
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const browser = await SentienceBrowser.create({ apiKey: process.env.SENTIENCE_API_KEY });
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const llm = new OpenAIProvider(process.env.OPENAI_API_KEY!, 'gpt-4o');
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const agent = new ConversationalAgent({ llmProvider: llm, browser });
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// Navigate to starting page
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await browser.getPage().goto('https://amazon.com');
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// ONE command does it all - automatic planning and execution!
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const response = await agent.execute(
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"Search for 'wireless mouse' and tell me the price of the top result"
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);
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console.log(response); // "I found the top result for wireless mouse on Amazon. It's priced at $24.99..."
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// Follow-up questions maintain context
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const followUp = await agent.chat("Add it to cart");
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console.log(followUp);
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await browser.close();
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```
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**When to use:** Complex multi-step tasks, conversational interfaces, maximum convenience
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**Code reduction:** 99% less code - describe goals in natural language
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**Requirements:** OpenAI or Anthropic API key
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### 🤖 Level 3: Agent (Natural Language Commands) - **Recommended for Most Users**
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Zero coding knowledge needed. Just write what you want in plain English:
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```typescript
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import { SentienceBrowser, SentienceAgent, OpenAIProvider } from 'sentience-ts';
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const browser = await SentienceBrowser.create({ apiKey: process.env.SENTIENCE_API_KEY });
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const llm = new OpenAIProvider(process.env.OPENAI_API_KEY!, 'gpt-4o-mini');
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const agent = new SentienceAgent(browser, llm);
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await browser.getPage().goto('https://www.amazon.com');
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// Just natural language commands - agent handles everything!
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await agent.act('Click the search box');
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await agent.act("Type 'wireless mouse' into the search field");
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await agent.act('Press Enter key');
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await agent.act('Click the first product result');
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// Automatic token tracking
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console.log(`Tokens used: ${agent.getTokenStats().totalTokens}`);
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await browser.close();
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```
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**When to use:** Quick automation, non-technical users, rapid prototyping
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**Code reduction:** 95-98% less code vs manual approach
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**Requirements:** OpenAI API key (or Anthropic for Claude)
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### 🔧 Level 2: Direct SDK (Technical Control)
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Full control with semantic selectors. For technical users who want precision:
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```typescript
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import { SentienceBrowser, snapshot, find, click, typeText, press } from 'sentience-ts';
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const browser = await SentienceBrowser.create({ apiKey: process.env.SENTIENCE_API_KEY });
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await browser.getPage().goto('https://www.amazon.com');
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// Get semantic snapshot
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const snap = await snapshot(browser);
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// Find elements using query DSL
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const searchBox = find(snap, 'role=textbox text~"search"');
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await click(browser, searchBox!.id);
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// Type and submit
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await typeText(browser, searchBox!.id, 'wireless mouse');
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await press(browser, 'Enter');
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await browser.close();
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```
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**When to use:** Need precise control, debugging, custom workflows
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**Code reduction:** Still 80% less code vs raw Playwright
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**Requirements:** Only Sentience API key
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### ⚙️ Level 1: Raw Playwright (Maximum Control)
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For when you need complete low-level control (rare):
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```typescript
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import { chromium } from 'playwright';
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const browser = await chromium.launch();
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const page = await browser.newPage();
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await page.goto('https://www.amazon.com');
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await page.fill('#twotabsearchtextbox', 'wireless mouse');
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await page.press('#twotabsearchtextbox', 'Enter');
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await browser.close();
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```
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**When to use:** Very specific edge cases, custom browser configs
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**Tradeoffs:** No semantic intelligence, brittle selectors, more code
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---
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## Agent Layer Examples
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### Google Search (6 lines of code)
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```typescript
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import { SentienceBrowser, SentienceAgent, OpenAIProvider } from 'sentience-ts';
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const browser = await SentienceBrowser.create({ apiKey: apiKey });
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const llm = new OpenAIProvider(openaiKey, 'gpt-4o-mini');
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const agent = new SentienceAgent(browser, llm);
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await browser.getPage().goto('https://www.google.com');
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await agent.act('Click the search box');
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await agent.act("Type 'mechanical keyboards' into the search field");
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await agent.act('Press Enter key');
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await agent.act('Click the first non-ad search result');
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await browser.close();
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```
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**See full example:** [examples/agent-google-search.ts](examples/agent-google-search.ts)
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### Using Anthropic Claude Instead of GPT
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```typescript
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import { SentienceAgent, AnthropicProvider } from 'sentience-ts';
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// Swap OpenAI for Anthropic - same API!
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const llm = new AnthropicProvider(
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process.env.ANTHROPIC_API_KEY!,
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'claude-3-5-sonnet-20241022'
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);
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const agent = new SentienceAgent(browser, llm);
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await agent.act('Click the search button'); // Works exactly the same
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```
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**BYOB (Bring Your Own Brain):** OpenAI, Anthropic, or implement `LLMProvider` for any model.
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**See full example:** [examples/agent-with-anthropic.ts](examples/agent-with-anthropic.ts)
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### Amazon Shopping (98% code reduction)
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**Before (manual approach):** 350 lines
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**After (agent layer):** 6 lines
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```typescript
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await agent.act('Click the search box');
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await agent.act("Type 'wireless mouse' into the search field");
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await agent.act('Press Enter key');
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await agent.act('Click the first visible product in the search results');
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await agent.act("Click the 'Add to Cart' button");
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```
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**See full example:** [examples/agent-amazon-shopping.ts](examples/agent-amazon-shopping.ts)
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---
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## Installation for Agent Layer
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```bash
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# Install core SDK
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npm install sentience-ts
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# Install LLM provider (choose one or both)
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npm install openai # For GPT-4, GPT-4o, GPT-4o-mini
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npm install @anthropic-ai/sdk # For Claude 3.5 Sonnet
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# Set API keys
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export SENTIENCE_API_KEY="your-sentience-key"
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export OPENAI_API_KEY="your-openai-key" # OR
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export ANTHROPIC_API_KEY="your-anthropic-key"
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```
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---
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## Direct SDK Quick Start
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```typescript
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import { SentienceBrowser, snapshot, find, click } from './src';
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See the `examples/` directory for complete working examples:
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### Agent Layer (Level 3 - Natural Language)
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- **`agent-google-search.ts`** - Google search automation with natural language commands
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- **`agent-amazon-shopping.ts`** - Amazon shopping bot (6 lines vs 350 lines manual code)
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- **`agent-with-anthropic.ts`** - Using Anthropic Claude instead of OpenAI GPT
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### Direct SDK (Level 2 - Technical Control)
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- **`hello.ts`** - Extension bridge verification
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- **`basic-agent.ts`** - Basic snapshot and element inspection
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- **`query-demo.ts`** - Query engine demonstrations

‎examples/agent-amazon-shopping.ts‎

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/**
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* Example: Amazon Shopping using SentienceAgent
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*
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* Demonstrates complex multi-step automation with the agent layer.
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* Reduces 300+ lines of manual code to ~20 lines of natural language commands.
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*
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* Run with:
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* npx ts-node examples/agent-amazon-shopping.ts
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*/
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import { SentienceBrowser, SentienceAgent, OpenAIProvider } from '../src';
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async function main() {
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// Set up environment
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const sentienceKey = process.env.SENTIENCE_API_KEY;
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const openaiKey = process.env.OPENAI_API_KEY;
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if (!openaiKey) {
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console.error('❌ Error: OPENAI_API_KEY environment variable not set');
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console.log('Set it with: export OPENAI_API_KEY="your-key-here"');
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process.exit(1);
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}
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// Initialize browser and agent
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const browser = await SentienceBrowser.create({
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apiKey: sentienceKey,
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headless: false
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});
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const llm = new OpenAIProvider(openaiKey, 'gpt-4o-mini');
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const agent = new SentienceAgent(browser, llm, 50, true);
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try {
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console.log('🛒 Amazon Shopping Demo with SentienceAgent\n');
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// Navigate to Amazon
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await browser.getPage().goto('https://www.amazon.com');
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await browser.getPage().waitForLoadState('networkidle');
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await new Promise(resolve => setTimeout(resolve, 2000));
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// Search for product
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console.log('Step 1: Searching for wireless mouse...\n');
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await agent.act('Click the search box');
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await agent.act("Type 'wireless mouse' into the search field");
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await agent.act('Press Enter key');
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// Wait for search results
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await new Promise(resolve => setTimeout(resolve, 4000));
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// Select a product
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console.log('Step 2: Selecting a product...\n');
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await agent.act('Click the first visible product in the search results');
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// Wait for product page to load
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await new Promise(resolve => setTimeout(resolve, 5000));
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// Add to cart
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console.log('Step 3: Adding to cart...\n');
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await agent.act("Click the 'Add to Cart' button");
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// Wait for cart confirmation
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await new Promise(resolve => setTimeout(resolve, 3000));
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console.log('\n✅ Shopping automation completed!\n');
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// Print execution summary
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const stats = agent.getTokenStats();
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const history = agent.getHistory();
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console.log('📊 Execution Summary:');
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console.log(` Actions executed: ${history.length}`);
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console.log(` Total tokens: ${stats.totalTokens}`);
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console.log(` Avg tokens per action: ${Math.round(stats.totalTokens / history.length)}`);
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console.log('\n📜 Action History:');
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history.forEach((entry, i) => {
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const status = entry.success ? '✅' : '❌';
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console.log(` ${i + 1}. ${status} ${entry.goal} (${entry.durationMs}ms)`);
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});
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console.log('\n💡 Code Comparison:');
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console.log(' Old approach: ~350 lines (manual snapshots, prompts, filtering)');
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console.log(' Agent approach: ~6 lines (natural language commands)');
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console.log(' Reduction: 98%');
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} catch (error: any) {
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console.error('❌ Error:', error.message);
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} finally {
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await browser.close();
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}
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}
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// Run if executed directly
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if (require.main === module) {
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main().catch(console.error);
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}

‎examples/agent-google-search.ts‎

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/**
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* Example: Google Search using SentienceAgent
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*
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* Demonstrates high-level agent abstraction with natural language commands.
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* No manual snapshot filtering or prompt engineering required.
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*
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* Run with:
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* npx ts-node examples/agent-google-search.ts
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*/
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import { SentienceBrowser, SentienceAgent, OpenAIProvider } from '../src';
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async function main() {
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// Initialize browser
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const browser = await SentienceBrowser.create({
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apiKey: process.env.SENTIENCE_API_KEY,
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headless: false
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});
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// Initialize LLM provider (OpenAI GPT-4o-mini for cost efficiency)
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const llm = new OpenAIProvider(
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process.env.OPENAI_API_KEY!,
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'gpt-4o-mini'
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);
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// Create agent
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const agent = new SentienceAgent(browser, llm, 50, true);
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try {
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console.log('🔍 Google Search Demo with SentienceAgent\n');
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// Navigate to Google
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await browser.getPage().goto('https://www.google.com');
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await browser.getPage().waitForLoadState('networkidle');
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// Use agent to perform search - just natural language commands!
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await agent.act('Click the search box');
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await agent.act("Type 'best mechanical keyboards 2024' into the search field");
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await agent.act('Press Enter key');
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// Wait for results
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await new Promise(resolve => setTimeout(resolve, 3000));
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// Click first result
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await agent.act('Click the first non-ad search result');
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// Wait for page load
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await new Promise(resolve => setTimeout(resolve, 2000));
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console.log('\n✅ Search completed successfully!\n');
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// Print token usage stats
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const stats = agent.getTokenStats();
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console.log('📊 Token Usage:');
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console.log(` Total tokens: ${stats.totalTokens}`);
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console.log(` Prompt tokens: ${stats.totalPromptTokens}`);
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console.log(` Completion tokens: ${stats.totalCompletionTokens}`);
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console.log('\n📜 Action Breakdown:');
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stats.byAction.forEach((action, i) => {
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console.log(` ${i + 1}. ${action.goal}: ${action.totalTokens} tokens`);
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});
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} finally {
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await browser.close();
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}
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}
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// Run if executed directly
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if (require.main === module) {
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main().catch(console.error);
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}

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