agent_genie/templates/index.html:2574

• uploadPdf() throws new Error(data.detail || 'Upload failed'), but the /upload_pdf backend returns errors under the error key (and only uses detail for FastAPI-raised HTTPExceptions). This drops useful error messages for most failure cases (encrypted/invalid PDFs, etc.). Please align the frontend to read data.error as well, or standardize backend error responses to always use detail.

                try {
                    const res = await fetch('/upload_pdf', { method: 'POST', body: form });
                    const data = await res.json();
                    if (!res.ok) throw new Error(data.detail || 'Upload failed');
                    

agent_genie/table_extraction.py:56

• Both requests.get(...) calls are made without a timeout. In production this can hang worker threads indefinitely if the Databricks control plane or network stalls. Please set a reasonable timeout (and consider retry/backoff for transient errors) for these UC API calls.

        # Make the request
        response = requests.get(endpoint, headers=headers, params=params)
        

agent_genie/table_extraction.py:110

• get_table_columns() uses requests.get(...) without a timeout, so a stalled request can hang the app. Please add a timeout (and ideally handle common HTTP errors/429s with retries/backoff).

        # Make the request
        response = requests.get(endpoint, headers=headers)
        

agent_genie/app.py:5

• The PR description says this change only adds documentation and images, but the diff introduces a full FastAPI app (app.py/templates), dependency set (requirements.txt), deployment configs (databricks.yml/app.yaml/manifest.yaml), and also removes the dbsql/serverless_migration_dash README/dir. Please update the PR description/title to match the actual scope, or split this into separate PRs (docs/images vs application code vs dbsql cleanup) to make review/rollback safer.

from fastapi import FastAPI, Request, UploadFile, File, HTTPException
from fastapi.responses import JSONResponse
from fastapi.templating import Jinja2Templates
import pandas as pd
import logging

agent_genie/requirements.txt:18

• openai is declared twice in this requirements file (once earlier and again here), which can confuse dependency management and makes intended constraints unclear. Please deduplicate the entry (and consider adding consistent version constraints).

python-dotenv
openai
backoff

agent_genie/templates/index.html:1352

• The UI hard-codes an individual email address as the support contact. This is brittle for reuse/redistribution and can create privacy/ownership issues. Consider replacing it with a generic support alias or injecting it via configuration/env so it can be set per deployment.

        <div class="section-description">
            A multi-agent AI engine that answers questions, forecasts trends, classifies data, summarizes records, translates languages, and recommends next-best actions. For any questions or feedback, please reach out to nitin.aggarwal@databricks.com 
        </div>