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## Summary - Adds AI-generated activity status summaries for agent execution results - Provides users with conversational, non-technical summaries of what their agents accomplished - Includes comprehensive execution data analysis with honest failure reporting ## Changes Made - **Backend**: Added `ActivityStatusGenerator` module with async LLM integration - **Database**: Extended `GraphExecutionStats` and `Stats` models with `activity_status` field - **Frontend**: Added "Smart Agent Execution Summary" display with disclaimer tooltip - **Settings**: Added `execution_enable_ai_activity_status` toggle (disabled by default) - **Testing**: Comprehensive test suite with 12 test cases covering all scenarios ## Key Features - Collects execution data including graph structure, node relations, errors, and I/O samples - Generates user-friendly summaries from first-person perspective - Honest reporting of failures and invalid inputs (no sugar-coating) - Payload optimization for LLM context limits - Full async implementation with proper error handling ## Test Plan - [x] All existing tests pass - [x] New comprehensive test suite covers success/failure scenarios - [x] Feature toggle testing (enabled/disabled states) - [x] Frontend integration displays correctly - [x] Error handling and edge cases covered 🤖 Generated with [Claude Code](https://claude.ai/code) --------- Co-authored-by: Claude <noreply@anthropic.com>
AutoGPT Libs
This is a new project to store shared functionality across different services in the AutoGPT Platform (e.g. authentication)