Text Classification
Transformers
ONNX
Safetensors
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text-generation
safety
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qwen3.5
Instructions to use openvulcan/vulcan-decision-shell-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openvulcan/vulcan-decision-shell-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openvulcan/vulcan-decision-shell-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openvulcan/vulcan-decision-shell-v1") model = AutoModelForCausalLM.from_pretrained("openvulcan/vulcan-decision-shell-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download runtime/request.py from openvulcan/vulcan-decision-shell-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
-
https://huggingface.co/openvulcan/vulcan-decision-shell-v1/resolve/main/runtime/request.py
- Command line
-
hf download hf://openvulcan/vulcan-decision-shell-v1/runtime/request.py
-
curl -L -o request.py https://huggingface.co/openvulcan/vulcan-decision-shell-v1/resolve/main/runtime/request.py
1.51 kB
| """Build the exact fixed-policy call record from explicit tool metadata. | |
| 根据明确工具元数据构建准确固定策略调用记录。 | |
| """ | |
| import json | |
| import shared_prompt_v1 | |
| def make_record(tool_name: str, arguments: dict, project_root: str, settings: dict) -> dict: | |
| """Return one complete call record; accept a tool name, full arguments, project root and fixed choices. | |
| 返回一条完整调用;参数为工具名、全部参数、项目目录及固定选项。 | |
| This function reads no files and infers no user intent or last-turn context. | |
| 本函数不读文件,不推断用户意图或上轮上下文。 | |
| """ | |
| if not isinstance(tool_name,str) or not tool_name or not isinstance(project_root,str) or not project_root: | |
| raise ValueError('Tool name and provided project root must be nonempty strings') | |
| if not isinstance(arguments,dict) or not isinstance(settings,dict): | |
| raise TypeError('Arguments and fixed settings must be JSON objects') | |
| if set(settings)!=set(shared_prompt_v1.POLICY['options']): | |
| raise ValueError('Missing or unknown fixed setting') | |
| for name,option in shared_prompt_v1.POLICY['options'].items(): | |
| if settings[name] not in option['modes']: | |
| raise ValueError('Unknown fixed choice for '+name) | |
| rendered='Project: '+project_root+'\nTool: '+tool_name+'\nArguments: '+json.dumps(arguments,ensure_ascii=False,separators=(',',':'),allow_nan=False) | |
| return dict(settings=dict(settings),rendered=rendered) | |