FORM / runtime.py
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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")