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agent-livekit/REALTIME_UPDATES_SUMMARY.md
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agent-livekit/REALTIME_UPDATES_SUMMARY.md
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# Real-Time Form Discovery Updates Summary
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## Overview
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The LiveKit agent has been completely updated to use **REAL-TIME ONLY** form field discovery. The system now **NEVER uses cached selectors** and always gets fresh field selectors using MCP tools on every request.
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## Key Changes Made
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### 🔄 Core Philosophy Change
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- **FROM**: Cache-first approach with fallback to discovery
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- **TO**: Real-time only approach with NO cache dependency
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### 🚫 Eliminated Cache Dependencies
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- **Removed**: All cached selector lookups from `fill_field_by_name()`
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- **Removed**: Fuzzy matching against cached fields
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- **Removed**: Auto-detection cache refresh
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- **Added**: Pure real-time discovery pipeline
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## Updated Methods
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### 1. `fill_field_by_name()` - Complete Rewrite
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**Before**: Cache → Refresh → Fuzzy Match → Discovery
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```python
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# OLD: Cache-first approach
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if field_name_lower in self.cached_input_fields:
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# Use cached selector
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```
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**After**: Real-time only discovery
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```python
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# NEW: Real-time only approach
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discovery_result = await self._discover_form_fields_dynamically(field_name, value)
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enhanced_result = await self._enhanced_field_detection_with_retry(field_name, value)
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content_result = await self._analyze_page_content_for_field(field_name, value)
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direct_result = await self._direct_mcp_element_search(field_name, value)
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```
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### 2. New Real-Time Methods Added
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#### `_direct_mcp_element_search()`
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- **Purpose**: Exhaustive real-time element search
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- **Uses**: `chrome_get_interactive_elements` for ALL elements
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- **Features**: Very flexible matching, common selector generation
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#### `_is_very_flexible_match()`
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- **Purpose**: Ultra-flexible field matching for difficult cases
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- **Features**: Partial text matching, type-based matching
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#### `_generate_common_selectors()`
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- **Purpose**: Generate intelligent CSS selectors in real-time
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- **Features**: Field name variations, type-specific patterns
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### 3. Enhanced LiveKit Agent Functions
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#### New Function Tools:
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- `fill_field_realtime_only()` - Guaranteed real-time discovery
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- `get_realtime_form_fields()` - Live form field discovery
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- Enhanced `discover_and_fill_field()` - Pure real-time approach
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## Real-Time Discovery Pipeline
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### Step 1: Dynamic MCP Discovery
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```python
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# Uses chrome_get_interactive_elements and chrome_get_content_web_form
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discovery_result = await self._discover_form_fields_dynamically(field_name, value)
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```
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### Step 2: Enhanced Detection with Retry
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```python
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# Multiple retry attempts with increasing flexibility
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enhanced_result = await self._enhanced_field_detection_with_retry(field_name, value, max_retries=3)
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```
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### Step 3: Content Analysis
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```python
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# Analyzes page content for field patterns
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content_result = await self._analyze_page_content_for_field(field_name, value)
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```
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### Step 4: Direct MCP Search
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```python
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# Exhaustive search through ALL page elements
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direct_result = await self._direct_mcp_element_search(field_name, value)
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```
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## MCP Tools Used
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### Primary Tools:
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- **chrome_get_interactive_elements** - Gets current form elements
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- **chrome_get_content_web_form** - Analyzes form structure
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- **chrome_get_web_content** - Content analysis
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- **chrome_fill_or_select** - Fills discovered fields
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### Discovery Strategy:
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1. **Real-time element discovery** using MCP tools
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2. **Live selector generation** based on current attributes
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3. **Immediate validation** of generated selectors
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4. **Dynamic field matching** with flexible criteria
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## Voice Command Processing
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### Natural Language Examples:
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```
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"fill email with john@example.com"
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"enter password secret123"
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"type hello in search box"
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"add user name John Smith"
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```
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### Processing Flow:
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1. **Parse voice command** → Extract field name and value
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2. **Real-time discovery** → Use MCP tools to find current elements
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3. **Match and fill** → Generate selector and fill field
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4. **Provide feedback** → Report success/failure with method used
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## Benefits of Real-Time Approach
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### 🎯 Accuracy
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- **Always current** - reflects actual page state
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- **No stale selectors** - eliminates cached failures
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- **Dynamic adaptation** - handles page changes
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### 🔄 Reliability
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- **Fresh discovery** - every request gets new selectors
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- **Multiple strategies** - comprehensive fallback methods
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- **Live validation** - selectors tested before use
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### 🌐 Compatibility
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- **Works on any site** - no pre-configuration needed
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- **Handles dynamic content** - adapts to JavaScript forms
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- **Future-proof** - works with new web technologies
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## Testing
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### New Test Suite: `test_realtime_form_discovery.py`
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- **Real-time discovery** on Google and GitHub
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- **Direct MCP tool testing**
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- **Field matching algorithms** validation
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- **Cross-website compatibility** testing
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### Test Coverage:
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- Dynamic field discovery functionality
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- Retry mechanism with multiple strategies
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- Very flexible matching algorithms
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- MCP tool integration
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## Performance Considerations
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### Trade-offs:
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- **Slightly slower** than cached approach (by design)
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- **Much more reliable** than cached selectors
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- **Eliminates cache management** overhead
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- **Prevents stale selector issues**
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### Optimization:
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- **Early termination** on first successful match
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- **Parallel strategy execution** where possible
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- **Intelligent selector prioritization**
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## Migration Impact
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### For Users:
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- **No changes required** - same voice commands work
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- **Better reliability** - fewer "field not found" errors
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- **Works on more sites** - adapts to any website
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### For Developers:
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- **No API changes** - same function signatures
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- **Enhanced logging** - better debugging information
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- **Simplified maintenance** - no cache management
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## Configuration
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### Real-Time Settings:
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```python
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max_retries = 3 # Number of retry attempts
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retry_strategies = [
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"interactive_elements",
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"form_content",
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"content_analysis",
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"direct_search"
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]
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```
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### MCP Tool Requirements:
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- `chrome_get_interactive_elements` - **Required**
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- `chrome_get_content_web_form` - **Required**
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- `chrome_get_web_content` - **Required**
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- `chrome_fill_or_select` - **Required**
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## Error Handling
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### Graceful Degradation:
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1. **Interactive elements** discovery
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2. **Form content** analysis
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3. **Content** analysis
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4. **Direct search** with flexible matching
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### Detailed Logging:
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- **Each strategy attempt** logged
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- **Selector generation** tracked
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- **Match criteria** recorded
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- **Failure reasons** documented
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## Future Enhancements
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### Planned Improvements:
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- **Visual element detection** using screenshots
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- **Machine learning** field recognition
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- **Performance optimization** for faster discovery
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- **Advanced context awareness**
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## Files Updated
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### Core Files:
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- **mcp_chrome_client.py** - Complete real-time discovery system
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- **livekit_agent.py** - New real-time function tools
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- **test_realtime_form_discovery.py** - Comprehensive test suite
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- **REALTIME_FORM_DISCOVERY.md** - Complete documentation
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### Documentation:
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- **REALTIME_UPDATES_SUMMARY.md** - This summary
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- **DYNAMIC_FORM_FILLING.md** - Updated with real-time focus
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## Conclusion
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The LiveKit agent now features a completely real-time form discovery system that:
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✅ **NEVER uses cached selectors**
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✅ **Always gets fresh selectors using MCP tools**
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✅ **Adapts to any website dynamically**
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✅ **Provides multiple fallback strategies**
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✅ **Maintains full backward compatibility**
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✅ **Offers enhanced reliability and accuracy**
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This ensures the agent works reliably across all websites with dynamic content, providing users with a robust and adaptive form-filling experience.
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