- Introduced mini_swe_runner.py for executing tasks using mini-swe-agent environments (local, Docker, Modal) and outputting trajectories in Hermes format. - Implemented trajectory_compressor.py to post-process agent trajectories, compressing them within a target token budget while preserving essential content. - Added trajectory_compression.yaml configuration file for customizable compression settings. - Created sample_and_compress.py script to download, sample, and compress trajectories from HuggingFace datasets. - Enhanced logging and error handling across new modules for improved usability and debugging.
26 KiB
26 KiB