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Updating to use hermes-agent backend and parse container definition out of provided .sif files
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2 changed files with 311 additions and 61 deletions
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# Endless Terminals Environment -- Default Configuration
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#
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# Trains agents on terminal tasks from the Endless Terminals HuggingFace dataset.
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# Each task includes a pre-built Apptainer container and pytest-based verification.
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# Uses hermes-agent backends (modal/docker/local) with per-task Docker images.
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# Tests run in the same sandbox the agent used (no separate containers needed).
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#
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# Dataset: https://huggingface.co/datasets/obiwan96/endless-terminals-train
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#
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# 1. Download dataset: huggingface-cli download obiwan96/endless-terminals-train \
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# --repo-type dataset --local-dir ~/endless-terminals-data \
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# --local-dir-use-symlinks False
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# 2. Install Apptainer/Singularity (for test execution)
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# 3. Set TASKS_BASE_DIR environment variable or configure tasks_base_dir below
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# 2. Set TASKS_BASE_DIR environment variable or configure tasks_base_dir below
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# 3. For modal backend: Configure Modal CLI (modal token set)
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# 4. For docker backend: Install Docker
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#
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# Usage:
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# python environments/endless_terminals/endless_terminals_env.py process \
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