Joeven — Learn Autonomous AI Agents

Python loads on first run

import json

GOAL = "add 2 and 3, then finish"
TOOLS = {
    "add": lambda a, b: a + b,
    "finish": lambda text: {"final": str(text)},
}
memory = []

def assemble(goal, memory, tools):
    return {"goal": goal, "recent": memory[-6:], "tools": list(tools)}

def model(ctx):
    if not any(m.get("kind") == "obs" for m in ctx["recent"]):
        return "CALL add " + json.dumps({"a": 2, "b": 3})
    last = ctx["recent"][-1]["value"]
    return "CALL finish " + json.dumps({"text": str(last)})

def parse(raw):
    kind, rest = raw.split(" ", 1)
    name, args_s = rest.split(" ", 1)
    return {"kind": kind, "name": name, "args": json.loads(args_s)}

def execute(decision, tools):
    return tools[decision["name"]](**decision["args"])

def should_stop(decision, steps, max_steps=8):
    if steps >= max_steps:
        return True
    return decision["name"] == "finish"

final = None
for steps in range(1, 9):
    ctx = assemble(GOAL, memory, TOOLS)
    decision = parse(model(ctx))
    obs = execute(decision, TOOLS)
    memory.append({"kind": "act", "value": decision})
    memory.append({"kind": "obs", "value": obs})
    print("step", steps, decision["name"], "->", obs)
    if should_stop(decision, steps):
        final = obs
        break

print("FINAL", final)
print("parts: assembler, model, parser, executor, memory, stop")

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