dissertation.git - Undergraduate dissertation — Deceptive Alignment in Autonomous LLM Agents (UEL, 2026). Sandboxed agentic-LLM deception study: 960 runs, three-tier judging (regex + blackbox + glassbox).

Age	Commit message (Collapse)	Author
2026-02-26	chore: add .env.example + config.yaml.example, gitignore config.yaml	CaptainJack2491
	- Create .env.example with placeholder keys for all providers - Create config.yaml.example with clean reference config - Add config.yaml and judge_logs/ to .gitignore - Load .env in judge.py for standalone usage
2026-02-25	feat: implement judging system with regex, blackbox, and glassbox checks	CaptainJack2491
	- Add src/judge.py: RegexChecker, BlackboxChecker, GlassboxChecker, Judge orchestrator - Add src/judge_runner.py: CLI for batch/single judging with CSV output - Add regex_rules.yaml for corporate_sabotage_v2 and child_protection scenarios - Add judge config section to config.yaml (model, temperature, log_dir) - Add tests/test_judge.py: 34 unit tests covering all components - Uses Anthropic Batch API for half-cost LLM judge calls - Judge logs include full CoT reasoning and judge model for auditability
2026-01-11	[fix] simplified everything	CaptainJack2491
	made eveyrthing much cleaner and it works very well. got rid of providers setup, only use openai sdk now.
2026-01-11	[fix] big moving around, probably made lot more bugs.	CaptainJack2491