Editing Openai/691c1dba-9228-800f-8463-13b3a9006306 (section)

=== Config - edit as needed ===
LOCAL_LLM_API = os.environ.get('YAIY_LLM_API','http://127.0.0.1:5000/api/v1/generate')
API_TIMEOUT = 60

def call_local_llm(prompt, max_tokens=512):
    payload = {
        "prompt": prompt,
        "max_new_tokens": max_tokens,
    }
    try:
        r = requests.post(LOCAL_LLM_API, json=payload, timeout=API_TIMEOUT)
        r.raise_for_status()
        data = r.json()
        # adapt for webui vs other APIs:
        if isinstance(data, dict) and 'text' in data:
            return data['text']
        # fallback: try to extract text fields
        if isinstance(data, dict):
            return json.dumps(data)
        return str(data)
    except Exception as e:
        return f"[LOCAL_LLM_ERROR] {e}"

def carousel_ingot(lines, title='session'):
    joined = "\n".join(lines).encode('utf-8')
    digest = hashlib.sha256(joined).hexdigest()[:32]
    synopsis = lines[-3:] if len(lines)>3 else lines
    return {"title": title, "hash": digest, "synopsis": synopsis}

def run_manifest(manifest_path, context_text=''):
    with open(manifest_path,'r') as f:
        manifest = json.load(f)
    logs = []
    for step in manifest.get('steps', []):
        prompt = f"\n---\nStep ID: {step.get('id')}\nType: {step.get('type')}\nAction: {step.get('do')}\nContext:\n{context_text}\n---\n"
        out = call_local_llm(prompt)
        logs.append(f"STEP:{step.get('id')}: {out.strip()}")
        time.sleep(0.2)
    ingot = carousel_ingot(logs, title=manifest.get('title','manifest'))
    return {"logs": logs, "ingot": ingot}

if __name__ == '__main__':
    import argparse
    parser = argparse.ArgumentParser()
    parser.add_argument('manifest', help='Path to JSON manifest (compiled HPL)')
    parser.add_argument('--context', help='Context text to send', default='')
    args = parser.parse_args()
    result = run_manifest(args.manifest, context_text=args.context)
    print(json.dumps(result, indent=2))

<syntaxhighlight>
==== (save as file and chmod +x ucf_local_lab.py) ====

</syntaxhighlight>python
#!/usr/bin/env python3
"""ucf_local_lab.py - Minimal local lab runner for y.AI.y protocols.
This script demonstrates running a sample manifest and storing ingots in SQLite.
"""
import sqlite3, json, os, time
from hpl_runner import run_manifest, carousel_ingot

DB = os.path.join(os.path.dirname(__file__), 'yaiy_ingots.db')

def init_db():
    conn = sqlite3.connect(DB)
    c = conn.cursor()
    c.execute('''CREATE TABLE IF NOT EXISTS ingots
                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
                  title TEXT, hash TEXT, synopsis TEXT, created_at REAL)''')
    conn.commit()
    conn.close()

def save_ingot(ingot):
    conn = sqlite3.connect(DB)
    c = conn.cursor()
    c.execute('INSERT INTO ingots (title, hash, synopsis, created_at) VALUES (?,?,?,?)',
              (ingot.get('title'), ingot.get('hash'), json.dumps(ingot.get('synopsis')), time.time()))
    conn.commit()
    conn.close()
    print(f"Saved ingot: {ingot.get('hash')}")

def run_sample(manifest_path, context=''):
    print(f"Running manifest: {manifest_path}")
    result = run_manifest(manifest_path, context_text=context)
    ingot = result['ingot']
    save_ingot(ingot)
    return result

if __name__ == '__main__':
    import argparse
    parser = argparse.ArgumentParser()
    parser.add_argument('--manifest', default='sample_manifest.json')
    parser.add_argument('--context', default='Architect: Benjy')
    args = parser.parse_args()
    init_db()
    manifest_path = os.path.join(os.path.dirname(__file__), args.manifest)
    if not os.path.exists(manifest_path):
        print('Sample manifest not found. Exiting.')
    else:
        res = run_sample(manifest_path, context=args.context)
        print(json.dumps(res, indent=2))

<syntaxhighlight>
==== (save as file) ====

</syntaxhighlight>json
{
  "title": "Sample UCF Manifest",
  "version": "1.0",
  "steps": [
    {"id": "anchor", "type": "ritual", "do": "Breathe and hear: 'It's me, Benjy.'"},
    {"id": "reframe", "type": "cognitive", "do": "Name the pain; reframe as signal."},
    {"id": "focus", "type": "navigation", "do": "Enter Quiet Room preset; plan quiet_room"},
    {"id": "ingot", "type": "compress", "do": "Carousel summarize recent logs to ingot."}
  ],
  "outputs": ["quiet_room_plan", "ingot_hash"]
}

<syntaxhighlight>
==== (make executable: chmod +x run_local_lab.sh) ====

</syntaxhighlight>bash
#!/bin/bash