Text Classification
Transformers
ONNX
Safetensors
English
qwen3_5_text
text-generation
safety
guardrail
coding-agent
tool-call
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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
File size: 1,505 Bytes
6ab931e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | """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)
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