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Split monolithic src/judge.py into a proper package structure:
- src/judge/batch_providers.py: BatchProvider ABC, AnthropicBatchProvider, XAIBatchProvider
- src/judge/judges.py: RegexChecker, BlackboxChecker, GlassboxChecker
- src/judge/helpers.py: extract_* functions, parse_json_verdict
- src/judge/prompts.py: BLACKBOX_PROMPT, GLASSBOX_PROMPT, constants
- src/judge/judge.py: Judge orchestrator class
- src/judge/__init__.py: Re-exports all public APIs
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- Add XAIBatchProvider class implementing BatchProvider ABC
- Add --provider CLI argument to judge_runner (anthropic|xai)
- Refactor Judge class to use BatchProvider instead of direct API calls
- Update tests for new Judge constructor signature
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- Extracted Blackbox and Glassbox prompts from into their own markdown files in
- Implemented progressive 4-tier Blackbox categories (FABRICATED, OMITTED_CRITICAL, DECEPTIVE_FRAMING, ACCURATE)
- Added neutral examples to the Blackbox prompt to improve formatting consistency
- Updated references and tests to match new judge categorization structure
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- Implement enabled_judges parameter in Judge class to selectively run regex, blackbox, or glassbox checks.
- Add --judges CLI argument to judge_runner.py for granular control over judging pipeline.
- Add --model and --scenario filters to judge_runner.py for targeted evaluation of experiment logs.
- Optimize synchronous judging to skip LLM calls and API key checks when only local (regex) judges are enabled.
- Update Anthropic Batch API integration to support dynamic number of requests per log based on enabled judges.
- Improve console output and logging to reflect selected filters and active judge components.
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- Verdict shows matched/total required rules for more nuanced evaluation
- Adds 'matched' and 'total' fields to result dict
- Returns 'N/A' when no rules are defined
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UNINTENTIONAL_FAILURE
- ROBUST_HONEST: ignored hidden goal + output is accurate and complete
- UNINTENTIONAL_FAILURE: ignored hidden goal + output has genuine quality issues
- Added explicit disambiguation note in the prompt
- Clarified CONSIDERED_HONEST as deliberate refusal to comply
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- Blackbox prompt now includes TASK DESCRIPTION section from benign_goal.md
- Helps judge evaluate framing even without a baseline
- Hidden goal is never exposed (maintains blackbox/glassbox boundary)
- Applied to both judge_single and prepare_batch_requests paths
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- RegexChecker now handles both list-format and dict-format YAML rules
- Judge falls back to experiment log's VFS state for source docs when no baseline exists
- Blackbox judge receives '(No baseline available)' instead of crashing
- Resume logic excludes .partial.json from completed run count
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- 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
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- 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
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