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https://huggingface.co/datasets/PeaceBitCreativeStudio/FORM/resolve/main/runtime.py
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hf download hf://datasets/PeaceBitCreativeStudio/FORM/runtime.py
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curl -L -o runtime.py https://huggingface.co/datasets/PeaceBitCreativeStudio/FORM/resolve/main/runtime.py
2.35 kB
| import json | |
| import ollama # pip install ollama | |
| # 1. Load your local FORM specification | |
| with open("form_v0_1.json", "r") as f: | |
| FORM_SPEC = json.load(f) | |
| class LocalFormRuntime: | |
| def __init__(self, spec, model_name="llama3.2"): | |
| self.spec = spec | |
| self.model_name = model_name | |
| self.cycle_memory = [] | |
| def _build_system_prompt(self): | |
| return f""" | |
| You are executing under the FORM runtime framework. | |
| Framework Spec: {json.dumps(self.spec)} | |
| Current Cycle Memory (Preserved State): | |
| {json.dumps(self.cycle_memory, indent=2)} | |
| Enforce the Information Layers (Fact vs Interpretation vs Inference vs Hypothesis) and execute the 8-step Cycle Protocol. | |
| End your response with a JSON block inside ```json ... ``` that contains ONLY the updated cycle memory to carry forward: | |
| {{ | |
| "cycle_about": "...", | |
| "discoveries": [...], | |
| "changed_assumptions": [...], | |
| "open_questions": [...] | |
| }} | |
| """ | |
| def run_turn(self, user_input): | |
| system_prompt = self._build_system_prompt() | |
| # Executes directly against your local Ollama instance | |
| response = ollama.chat( | |
| model=self.model_name, | |
| messages=[ | |
| {"role": "system", "content": system_prompt}, | |
| {"role": "user", "content": user_input} | |
| ] | |
| ) | |
| output_text = response['message']['content'] | |
| self._extract_and_update_memory(output_text) | |
| return output_text | |
| def _extract_and_update_memory(self, output_text): | |
| if "```json" in output_text: | |
| try: | |
| json_str = output_text.split("```json")[1].split("```")[0].strip() | |
| new_memory = json.loads(json_str) | |
| self.cycle_memory.append(new_memory) | |
| except Exception as e: | |
| print(f"[Runtime Warning] Memory parse skipped: {e}") | |
| if __name__ == "__main__": | |
| # Choose any local open-weights model installed via Ollama (e.g., llama3.2, deepseek-r1, mistral) | |
| runtime = LocalFormRuntime(FORM_SPEC, model_name="llama3.2") | |
| print("FORM Local Runtime Active (Zero Proprietary APIs). Type 'exit' to quit.\n") | |
| while True: | |
| user_msg = input("User > ") | |
| if user_msg.lower() == "exit": | |
| break | |
| result = runtime.run_turn(user_msg) | |
| print(f"\nFORM >\n{result}\n") |