Snapshot Reference System Enhancement
Problem Statement
While we previously removed the snapshot reference system due to its complexity and various technical challenges, we've identified a critical limitation in our current approach: when multiple components share the same role and name, our agent cannot distinguish between them, completely breaking interaction capabilities.
Proposed Solution
1. Custom DOM Snapshot System
2. Configuration-Driven Element Selection
-
Flexibility: Configurable rules determine which elements are captured
-
Precision: Avoid noise by only tracking interaction-relevant elements
-
Adaptability: Easy to modify selection criteria for different website types
Technical Requirements
Core Features
-
Implement DOM walker with configurable element filtering
-
Inject unique reference attributes into valid elements
-
Generate structured JSON snapshot output
-
Maintain low token usage through selective element capture
-
Support dynamic DOM updates and re-snapshotting
Snapshot Structure
{
"timestamp": "2025-09-02T02:01:00Z",
"elements": [
{
"ref": "elem_001",
"tag": "button",
"selector": ".submit-btn",
"text": "Submit Application",
"attributes": {...},
"position": {...}
}
]
}
Configuration Schema
-
Define element selection rules (tags, classes, roles, etc.)
-
Set filtering criteria for interactive vs. static elements
-
Configure snapshot depth and scope limits
Expected Outcomes
Metric | Before | After
-- | -- | --
Component Disambiguation | ❌ Fails with duplicates | ✅ Unique refs solve this
Dynamic Site Support | ⚠️ Limited | ✅ Re-snapshot capability
Token Efficiency | ✅ Optimized | ✅ Config-driven selection
Reliability | ⚠️ Moderate | ✅ Deterministic refs
Implementation Priority
High Priority: This enhancement is essential for agent reliability and should be prioritized to resolve current interaction limitations.
Architecture Benefit: Custom-built solution gives us complete control over the snapshot process, allowing optimization for our specific use cases.
This ground-up approach provides the robustness we need while maintaining full control over performance and token usage optimization.
Snapshot Reference System Enhancement
Problem Statement
While we previously removed the snapshot reference system due to its complexity and various technical challenges, we've identified a critical limitation in our current approach: when multiple components share the same role and name, our agent cannot distinguish between them, completely breaking interaction capabilities.
Proposed Solution
1. Custom DOM Snapshot System
Approach: Build a ground-up solution that walks the entire DOM tree
Process:
Traverse DOM nodes systematically
Filter elements based on configurable validation rules
Inject unique
refattributes into qualifying elementsGenerate comprehensive JSON snapshot
Benefit: Provides deterministic element identification regardless of duplicate selectors
2. Configuration-Driven Element Selection
Flexibility: Configurable rules determine which elements are captured
Precision: Avoid noise by only tracking interaction-relevant elements
Adaptability: Easy to modify selection criteria for different website types
Technical Requirements
Core Features
Implement DOM walker with configurable element filtering
Inject unique reference attributes into valid elements
Generate structured JSON snapshot output
Maintain low token usage through selective element capture
Support dynamic DOM updates and re-snapshotting
Snapshot Structure
Configuration Schema
Define element selection rules (tags, classes, roles, etc.)
Set filtering criteria for interactive vs. static elements
Configure snapshot depth and scope limits
Expected Outcomes
Implementation Priority
High Priority: This enhancement is essential for agent reliability and should be prioritized to resolve current interaction limitations.
Architecture Benefit: Custom-built solution gives us complete control over the snapshot process, allowing optimization for our specific use cases.
This ground-up approach provides the robustness we need while maintaining full control over performance and token usage optimization.