Joeven — Learn Autonomous AI Agents

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import json

fence = "`" * 3

def strip_fences(text):
    text = text.strip()
    lines = text.splitlines()
    if lines and lines[0].startswith(fence):
        lines = lines[1:]
        if lines and lines[-1].strip() == fence:
            lines = lines[:-1]
        text = chr(10).join(lines)
    return text.strip()

def extract_object(text):
    start = text.find("{")
    end = text.rfind("}")
    if start == -1 or end <= start:
        return None
    return text[start : end + 1]

def parse_action(text):
    try:
        blob = strip_fences(text)
        blob = extract_object(blob) or blob
        data = json.loads(blob)
    except json.JSONDecodeError as exc:
        return {"tool": None, "args": {}, "error": "bad_json", "detail": str(exc)}
    if not isinstance(data, dict):
        return {"tool": None, "args": {}, "error": "not_object"}
    tool = data.get("tool") or data.get("name")
    args = data.get("args") or data.get("arguments") or {}
    if not tool:
        return {"tool": None, "args": {}, "error": "missing_tool"}
    if not isinstance(args, dict):
        return {"tool": None, "args": {}, "error": "args_not_object"}
    return {"tool": tool, "args": args}

clean = '{"tool": "search", "args": {"q": "rain"}}'
fenced = chr(10).join(
    [fence + "json", '{"tool": "search", "args": {"q": "coat"}}', fence]
)
noisy = (
    "Sure, here you go:"
    + chr(10)
    + '{"tool": "finish", "args": {"text": "done"}}'
    + chr(10)
    + "Thanks!"
)
bad = "not json at all"
# BAD, never do this with model text:
# action = eval(clean)

for label, sample in [
    ("clean", clean),
    ("fenced", fenced),
    ("noisy", noisy),
    ("bad", bad),
]:
    print(label, parse_action(sample))

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