How to Build Memory-Driven AIs with Short-Term, Long-Term, and Episodic Memory
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 … Read more