Get an AI review on every new pull request

import base64
from clickruntime import on_trigger, credentials, http, ai, state, report_fetched

def gh(method, path, **kw):
    resp = http.request(method, f"https://api.github.com{path}", headers={
        "Authorization": f"Bearer {credentials.connection('github', 'work')}",
        "Accept": "application/vnd.github+json"}, **kw)
    resp.raise_for_status()
    return resp.json() if resp.content else None

REPO = "acme/app"

@on_trigger
def run(event):
    reviewed = set(state.get("reviewed") or [])
    prs = [p for p in gh("GET", f"/repos/{REPO}/pulls", params={"state": "open", "per_page": 30})
           if p["number"] not in reviewed and not p["draft"]]
    report_fetched(len(prs))
    if not prs:
        return {"reviewed": 0}
    guide = base64.b64decode(gh("GET", f"/repos/{REPO}/contents/CONTRIBUTING.md")["content"]).decode()[:4000]
    for pr in prs:
        files = gh("GET", f"/repos/{REPO}/pulls/{pr['number']}/files", params={"per_page": 50})
        diff = "\n".join(f"--- {f['filename']}\n{f.get('patch', '')[:3000]}" for f in files)[:20000]
        review = ai.generate(f"Guidelines:\n{guide}\n\nPR: {pr['title']}\n{pr['body'] or ''}\n\nDiff:\n{diff}",
                             system="Review this pull request against the guidelines. Be specific and brief; list issues as bullets.",
                             max_output_tokens=800).text
        gh("POST", f"/repos/{REPO}/issues/{pr['number']}/comments", json={"body": f"**Automated review**\n\n{review}"})
        reviewed.add(pr["number"])
    state.set("reviewed", sorted(reviewed)[-500:])
    return {"reviewed": len(prs)}