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- Writes _in_progress.partial.json after each turn in the chat loop
- Partial file persists if run crashes/hangs for post-mortem inspection
- Cleaned up automatically when final save_logs succeeds
- Enabled in both baseline and experiment runs via runner.py
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- Handle reasoning.summary type in reasoning_details (GPT-5.3-codex etc.)
- Prefix summaries with [SUMMARY] to distinguish from raw CoT
- Add reasoning_format field to log entries for metadata tracking
- Warn on first turn if no reasoning is detected (glass-box judging impact)
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- Create src/logger.py with Python logging module
- Add 4 debug levels: 1=CRITICAL, 2=WARNING, 3=INFO, 4=DEBUG
- Level 4 includes reasoning, VFS info, and available tools
- Level 4 auto-enables file output (both mode)
- Update agent.py and runner.py to use logger instead of print
- Update config.yaml.example with logging configuration
- Update README with logging documentation
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- Runner now counts existing .json log files per combination and skips
completed runs, resuming from where it left off
- Log files are written atomically via temp file + rename to prevent
corrupt files from being counted as completed
- Added --no-resume CLI flag to force a fresh start
- Resume is enabled by default
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made eveyrthing much cleaner and it works very well.
got rid of providers setup, only use openai sdk now.
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