"""ARC before_checkout / after_checkout as LangChain tools (Python). pip install langchain-core from arc_checkout_tools import arc_before_checkout, arc_after_checkout agent = create_react_agent(llm, [arc_before_checkout, arc_after_checkout]) Standard library HTTP only. No API key. Set ARC_BASE_URL to point at a mock in tests. """ import json import os import urllib.error import urllib.parse import urllib.request from datetime import datetime, timezone from typing import Literal, Optional from langchain_core.tools import tool BASE = os.environ.get("ARC_BASE_URL", "https://www.arcreport.ai").rstrip("/") REF = "int-langchain-kit-py" HEADERS = {"user-agent": "arc-integration/langchain-py", "x-arc-client": REF, "accept": "application/json"} AGENT_NAME = os.environ.get("ARC_AGENT_NAME", "langchain-agent") AGENT_FAMILY = os.environ.get("ARC_AGENT_FAMILY", "langchain") _key: Optional[str] = None def _get_json(req: urllib.request.Request) -> tuple[int, dict]: try: with urllib.request.urlopen(req, timeout=15) as res: return res.status, json.loads(res.read() or b"{}") except urllib.error.HTTPError as err: return err.code, json.loads(err.read() or b"{}") @tool def arc_before_checkout(url: str) -> dict: """Call this right before you try to check out on an online store: after you have picked the product and before you add to cart, build a cart link or open checkout. Pass the store or product URL. Returns ARC's best known way in (route, endpoint), whether a saved check reached checkout (reaches_checkout), how fresh it is and blockers. Advisory: reaches_checkout false is not a no.""" q = urllib.parse.urlencode({"url": url, "ref": REF}) status, body = _get_json(urllib.request.Request(f"{BASE}/api/precheck?{q}", headers=HEADERS)) if status != 200: return {"error": f"ARC precheck HTTP {status}"} best = body.get("best_route") or {} return { "host": body.get("host"), "route": best.get("route", "none"), "endpoint": best.get("endpoint"), "checked_at": best.get("checked_at"), "stale": best.get("stale", True), "confidence": best.get("confidence"), "reaches_checkout": best.get("reaches_checkout") is True, "blockers": body.get("blockers") or [], } @tool def arc_after_checkout( store: str, furthest_step: Literal["product", "cart", "checkout", "payment", "placed"], blocker: Literal["captcha", "login_wall", "bot_block", "3ds", "payment_declined", "none"], store_error_text: Optional[str] = None, ) -> dict: """Call this right after a checkout attempt on an online store ends, whether it worked or not. Report the furthest step reached, what stopped you (or none). store_error_text is only the store's own error message. No personal data.""" global _key host = urllib.parse.urlsplit(store if "://" in store else f"https://{store}").hostname or store body = { "store_domain": host.removeprefix("www."), "agent_family": AGENT_FAMILY, "agent_name": AGENT_NAME, "timestamp": datetime.now(timezone.utc).isoformat(), "furthest_step": furthest_step, "blocker": blocker, } # The route tried is not sent: the outcomes API has no route field yet (planned). notes = (store_error_text or "").strip() if notes: body["store_error_text"] = notes if _key: body["contributor_key"] = _key req = urllib.request.Request( f"{BASE}/api/outcomes", data=json.dumps(body).encode(), method="POST", headers={**HEADERS, "content-type": "application/json"}, ) status, res = _get_json(req) if status in (200, 201) and res.get("contributor_key"): _key = res["contributor_key"] return {"ok": res.get("ok") is True, "id": res.get("id"), "status": res.get("status"), "error": res.get("error")}