अपना पहला AI Agent कैसे बनाएँ (No-Code और Code)

# A minimal AI agent: the LLM decides when to call a tool.
def get_city_weather(city: str) -> str:
    # In real life, call a weather API here.
    fake_db = {"mumbai": "31C, humid", "delhi": "38C, dry"}
    return fake_db.get(city.lower(), "No data")

tools = [{"name": "get_city_weather", "description": "Get weather for an Indian city", "parameters": {"city": "string"}}]

def run_agent(user_message):
    decision = call_llm(user_message, tools)   # LLM returns text OR a tool call
    if decision.get("tool") == "get_city_weather":
        result = get_city_weather(decision["args"]["city"])
        return call_llm(f"Tool result: {result}. Answer the user.")
    return decision["text"]

print(run_agent("What's the weather in Mumbai?"))