The best way to Construct an Superior Agentic AI System with Planning, Instrument Calling, Reminiscence, and Self-Critique Utilizing OpenAI API

TOOLS = {
   "calc": lambda expression: _safe_calc(expression),
   "kb_search": lambda question, ok=3: _kb_search(question, int(ok)),
   "extract_json": lambda textual content: _extract_json(textual content),
   "write_file": lambda path, content material: _write_file(path, content material),
}


TOOL_SCHEMAS = [
   {"type": "function","function":{"name":"calc","description":"Safely compute a numeric expression.","parameters":{"type":"object","properties":{"expression":{"type":"string"}},"required":["expression"]}}},
   {"kind": "operate","operate":{"identify":"kb_search","description":"Search inside mini data base.","parameters":{"kind":"object","properties":{"question":{"kind":"string"},"ok":{"kind":"integer","default":3}},"required":["query"]}}},
   {"kind": "operate","operate":{"identify":"extract_json","description":"Extract and parse first JSON object from textual content.","parameters":{"kind":"object","properties":{"textual content":{"kind":"string"}},"required":["text"]}}},
   {"kind": "operate","operate":{"identify":"write_file","description":"Write content material to a file path.","parameters":{"kind":"object","properties":{"path":{"kind":"string"},"content material":{"kind":"string"}},"required":["path","content"]}}},
]


@dataclass
class AgentState:
   purpose: str
   reminiscence: Record[str] = discipline(default_factory=checklist)
   hint: Record[Dict[str, Any]] = discipline(default_factory=checklist)


def chat(messages, instruments=None, tool_choice="auto", temperature=0.2):
   kwargs = dict(
       mannequin=MODEL,
       messages=messages,
       temperature=temperature,
   )
   if instruments will not be None:
       kwargs["tools"] = instruments
       kwargs["tool_choice"] = tool_choice
   return consumer.chat.completions.create(**kwargs)


def run_tool(identify, args):
   fn = TOOLS.get(identify)
   if not fn: return {"okay": False, "error": f"Unknown instrument: {identify}"}
   strive:
       return fn(**args)
   besides Exception as e:
       return {"okay": False, "error": str(e), "args": args}