Send a topic to Telegram and get researched social posts

from clickruntime import on_event, credentials, http, ai

VOICE = "Plain and practical, first person, no hashtags."

@on_event
def handle(event):
    msg = (event.json or {}).get("message") or {}
    topic = msg.get("text", "").strip()
    if not topic:
        return {"ignored": True}
    results = http.get("https://serpapi.com/search", params={"engine": "google", "q": topic, "tbm": "nws", "num": 8,
                                                             "api_key": credentials.secret("SERPAPI_API_KEY")}).json().get("news_results", [])
    sources = "\n".join(f"- {r['title']}: {r.get('snippet', '')} ({r['link']})" for r in results[:8])
    drafts = ai.generate(f"Topic: {topic}\nRecent coverage:\n{sources}\n\nWrite a LinkedIn post (under 200 words) and a post for X (under 260 characters). Label them LinkedIn: and X:.",
                         system=f"You write social posts. {VOICE} Use only facts from the coverage.", max_output_tokens=600).text
    if results:
        drafts += f"\n\nSource: {results[0]['link']}"
    http.post(f"https://api.telegram.org/bot{credentials.secret('TELEGRAM_BOT_TOKEN')}/sendMessage", json={"chat_id": msg["chat"]["id"], "text": drafts})
    return {"topic": topic, "sources": len(results)}