def openai_chat(system: str, user: str) -> str: resp = client.chat.completions.create( model=OPENAI_MODEL, messages=[ {"role": "system", "content": system}, {"role": "user", "content": user}, ], temperature=0.3 ) return resp.choices[0].message.content def heuristic_responder(context: str, question: str) -> str: lessons = re.findall(r"Lessons=(.*)", context) avoid = re.findall(r"Avoid=(.*)", context) ltm_lines = [ln for ln in context.splitlines() if ln.startswith("[LTM:")] steps = [] if lessons: for chunk in lessons[:2]: for s in [x.strip() for x in chunk.split(";") if x.strip()]: steps.append(s) for ln in ltm_lines: if "[LTM:procedure]" in ln.lower(): proc = re.sub(r"^\[LTM:procedure\]\s*", "", ln, flags=re.I) proc = proc.split("(salience=")[0].strip() for part in [p.strip() for p in proc.split("|") if p.strip()]: steps.append(part) steps = steps[:8]…
