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Implements comprehensive execution data filtering system to enable AI agents to inspect large workflow executions without exceeding token limits. Features: - Preview mode: Shows structure, counts, and size estimates (~500 tokens) - Summary mode: Returns 2 sample items per node (~2-5K tokens) - Filtered mode: Granular control with itemsLimit and nodeNames - Full mode: Complete data retrieval (explicit opt-in) - Smart recommendations based on data size analysis - Structure-only mode (itemsLimit: 0) for schema inspection - 100% backward compatibility with legacy includeData parameter Technical improvements: - New ExecutionProcessor service with intelligent filtering logic - Type-safe implementation with Record<string, unknown> over any - Comprehensive validation and error handling - 33 unit tests with 78% coverage - Constants-based thresholds for easy tuning Bug fixes: - Fixed preview mode API data fetching to enable structure analysis - Validates and caps itemsLimit to prevent abuse Impact: - Reduces token usage by 80-95% for large datasets (50+ items) - Prevents token overflow when inspecting workflow executions - Enables recommended workflow: preview → recommendation → targeted fetch 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>