pages/1_Diagnostics.py

import streamlit as st, os, requests, json
st.set_page_config(page_title="Router Diagnostics", page_icon="🧪", layout="wide")
st.title("🔎 Router Text-Generation Diagnostics")
endpoint = st.text_input("Endpoint", os.getenv("HF_CHAT_ENDPOINT") or "https://router.huggingface.co/openai/gpt-oss-120b")
token = st.text_input("HF API Token (optional; else use env)", os.getenv("HF_API_TOKEN") or os.getenv("HF_TOKEN") or "", type="password")
prompt = st.text_area("Prompt", "ping")
if st.button("Ping"):
    try:
        r = requests.post(endpoint, headers={"Authorization": f"Bearer {token or os.getenv('HF_API_TOKEN') or os.getenv('HF_TOKEN')}","Content-Type":"application/json"}, json={"inputs": prompt, "parameters": {"max_new_tokens": 64}}, timeout=60)
        st.subheader("Status / headers")
        st.code(f"{r.status_code}\n{dict(r.headers)}")
        try:
            st.subheader("JSON")
            st.json(r.json())
        except Exception:
            st.subheader("Raw text")
            st.code(r.text[:2000])
    except Exception as e:
        st.error(e)