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244e346b83
- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
72 lines
1.5 KiB
Markdown
72 lines
1.5 KiB
Markdown
# CLI Reference
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## Training
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```bash
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python scripts/train.py --config <config.yaml> [overrides...]
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```
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### Arguments
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| Argument | Description |
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| `--config` | Path to YAML config file (required) |
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| `key=value` | Override any config parameter |
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### Examples
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```bash
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# Basic training
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python scripts/train.py --config configs/searchqa/default.yaml
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# With overrides
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python scripts/train.py \
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--config configs/searchqa/default.yaml \
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--cfg-options optimizer.learning_rate=16 optimizer.lr_scheduler=linear
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# With custom initial skill
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python scripts/train.py \
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--config configs/searchqa/default.yaml \
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--cfg-options env.skill_init=skills/my_seed.md
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```
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## Evaluation
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```bash
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python scripts/eval_only.py --config <config.yaml> --skill <skill.md>
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```
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### Arguments
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| Argument | Description |
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| `--config` | Path to YAML config file (required) |
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| `--skill` | Path to skill document to evaluate (required) |
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| `--split` | Evaluation split: `test` (default), `valid`, `train` |
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### Examples
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```bash
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# Evaluate best skill on test set
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python scripts/eval_only.py \
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--config configs/searchqa/default.yaml \
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--skill outputs/searchqa/run_001/skills/best_skill.md
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# Evaluate on validation set
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python scripts/eval_only.py \
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--config configs/searchqa/default.yaml \
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--skill outputs/searchqa/run_001/skills/best_skill.md \
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--split valid
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```
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## WebUI
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```bash
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python -m skillopt_webui.app [--port PORT] [--share]
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```
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| Argument | Default | Description |
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| `--port` | 7860 | Port number |
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| `--share` | false | Create public Gradio link |
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