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.github/workflows/README.md

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1. Copy the template:
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```bash
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curl -O https://raw.githubusercontent.com/AgingBench/AgingBench/main/examples/ci/agingbench-lite-template.yml
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curl -O https://raw.githubusercontent.com/VITA-Group/AgingBench/main/examples/ci/agingbench-lite-template.yml
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mkdir -p .github/workflows
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mv agingbench-lite-template.yml .github/workflows/agingbench-lite.yml
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```

readme.md

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## Install
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```bash
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pip install "git+https://github.com/AgingBench/AgingBench.git@v0.3.0#subdirectory=prototype"
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pip install "git+https://github.com/VITA-Group/AgingBench.git@v0.3.0#subdirectory=prototype"
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```
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Registers the `agingbench` and `agingbench-lite` CLIs and bundles the prompt templates, profile YAMLs, and JSON schemas the runner needs at runtime.
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> **Local clone alternative** (for development): `git clone https://github.com/AgingBench/AgingBench.git && cd AgingBench && uv sync --extra api --project prototype`.
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> **Local clone alternative** (for development): `git clone https://github.com/VITA-Group/AgingBench.git && cd AgingBench && uv sync --extra api --project prototype`.
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API keys are required for any run that calls an API model (Anthropic / OpenAI / Gemini). Set `ANTHROPIC_API_KEY` / `OPENAI_API_KEY` / `GEMINI_API_KEY` / `HF_TOKEN` in your shell or in a `.env` at the repo root (auto-loaded by the CLI). Local-GPU SUTs (e.g. `qwen3_8b_lossy_compress.yaml`) need no API key.
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