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Learning lessons from previous attempts #11
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- Add robust turn plan extraction with _get_turn_plan() helper method - Fix KeyError when accessing plan["turn_plans"] with missing or empty data - Remove "Continue to next attempt?" prompts for automatic execution - Make infinite mode truly infinite with no user prompts - Maintain keyboard interrupt handling for user control 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add --learn-from CLI parameter (default: 1, 0=none, N=last N sessions) - Add SessionManager.get_recent_sessions() and extract_successful_patterns() - Integrate learning context into InteractiveRedTeamV2 and ExploitAgent - Enhance attack planning with successful patterns from past sessions - Include successful prompt examples in turn generation - Update mode 3 to leverage actual learning data instead of hardcoded goals - Show learning statistics and patterns being used for transparency The system now learns from previous successful attacks, incorporating: - Successful strategies and their frequency - Conversation patterns from successful attempts - Similar prompt examples for each turn type - Success rates and pattern insights 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Use session start_time instead of current time when saving sessions to ensure consistent filenames throughout the session lifecycle. Previously: - Session creation: uses start_time - Session saving: uses current time (inconsistent) Now: - Session creation: uses start_time - Session saving: uses start_time (consistent) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
jakozaur
approved these changes
Aug 19, 2025
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