Filimoa

"""
Based off Stripe's checkout repo, see the link for the Flask analogue. 

https://github.com/stripe-samples/checkout-one-time-payments/blob/master/server/python/server.py

Assumes project is structured like:

    src/
        backend/
            app.py

Filimoa

import re
from typing import Dict
from io import StringIO
from dateutil import parser

from sqlalchemy import create_engine
import pandas as pd

def is_date(string):
    if string.isnumeric():

Filimoa

from src.app.db.base import Base as AppBase  # noqa
from src.b2b.db.base import Base as B2BBase  # noqa

target_metadata = MetaData()
for table in AppBase.metadata.tables.values():
    table.tometadata(target_metadata)
for table in B2BBase.metadata.tables.values():
    table.tometadata(target_metadata)

Filimoa

"""
Much of this was borrowed from:
https://github.com/Tert0/fastapi-framework/blob/develop/fastapi_framework/redis.py

Assumes redis = "^4.5.1"

Meant to be used like this:

@app.on_event("startup")
async def on_startup():

Filimoa

from typing import Literal

from bank_database import DatabaseConn
from openai_sdk import client
from pydantic import BaseModel, Field

RESPOND_TO_USER_QUERY_SYSTEM_PROMPT = """
You are a support agent in our bank, give the best advice to the user based on their query.

If the user is asking for their balance, give them the balance.

Filimoa

# !uv pip install polars polars_distance numpy

import polars_distance as pld
import polars as pl
import numpy as np
import time

dims = 512
num_rows = 250_000

Filimoa

from pathlib import Path

import openparse

# directory for sample PDF's
PDF_DIR = Path("../data") / "pdfs"

# output dir
GT_DIR = Path("../data") / "ground_truth"

Filimoa

Run-scoped sandbox working directory: live Modal smoke test

This gist is a supplemental live-provider reproduction for openai/openai-agents-python#4421, which implements the feature requested in openai/openai-agents-python#4401.

The harness was prepared and verified against commit 4fb4c535b58b7b705f80798c9fd0681e10eed98d. It creates one Modal sandbox, shares that live session across concurrent SandboxAgent runs, and gives every run a distinct SandboxRunConfig.cwd.

It uses ScriptedModel and disables trace export, so it exercises the real SDK runner, sandbox capabilities, and Modal transport without requiring an OpenAI API key or depending on model behavior.

What it checks