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

==== 1. Install prerequisites (drivers, Python). ====
# Clone and run text-generation-webui or llama.cpp.
# Download and place a quantized 7B model in models/.
# Start webui: python server.py --model <model_dir> --load-in-8bit (or appropriate flags).
# Hook runtime: expose a small Python script that calls local web UI API to send HPL-compiled steps and receives responses.
# Implement carousel_ingot() to store ingots with SHA256 into memory/ingots.json and FAISS index.
# Use ZCP guard wrappers for runtime functions.

==== <syntaxhighlight lang="python"># hpl_runner.py ====
import requests, json, sqlite3, hashlib, time
API = "http://127.0.0.1:5000/api/v1/generate"  # webui endpoint

def call_local_llm(prompt):
    resp = requests.post(API, json={"prompt": prompt, "max_new_tokens": 512})
    return resp.json()["text"]

def run_protocol(manifest, ctx):
    # minimal step runner
    log = []
    for step in manifest["steps"]:
        prompt = f"Step: {step['do']}\nContext: {ctx}\n"
        out = call_local_llm(prompt)
        log.append(out)
    ingot = carousel_ingot(log, title=manifest["title"])
    save_ingot_db(ingot)
    return ingot

</syntaxhighlight>