Reference library

AI & LLM integration patterns

Call LLM APIs, structure prompts, parse responses, and ship AI features safely.

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AI & LLM integration patterns easy

How to Build an Agent Loop with Plan, Act, Observe in Python

Implements a simple plan-act-observe loop that an AI agent uses to iteratively complete a task in an environment while storing observations in memory.

agents loop llm
Python 
class Agent:
    def __init__(self, name):
        self.name = name
        self.memory = {}

    def plan(self, task):
        return f"Plan for {task}: step 1, step 2, step 3"

    def act(self, plan, environment):
        return f"Executing {plan} in {environment}"

    def observe(self, action_result):
        sel…
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