Await connection in debugpy

• asyncpg version: 0.27.0
• PostgreSQL version: 15.1
• Do you use a PostgreSQL SaaS? If so, which? Can you reproduce
  the issue with a local PostgreSQL install?:
• Python version: 3.11
• Platform: starlite
• Do you use pgbouncer?: no
• Did you install asyncpg with pip?: poetry
• If you built asyncpg locally, which version of Cython did you use?: n/a
• Can the issue be reproduced under both asyncio and
  uvloop?: not sure

So I am using debugpy for debugging in vscode. Essentially this: python -m debugpy --listen 0.0.0.0:5678 ./myscript.py
I am using asyncpg + sqlalchemy. Specifically an AsyncSession

When I set a breakpoint and use the debug console I can normally await async functions.
But when I do this on an async query I get this error:

app_dev  | Traceback (most recent call last):
app_dev  |   File "/usr/local/lib/python3.11/site-packages/sqlalchemy/dialects/postgresql/asyncpg.py", line 755, in _start_transaction
app_dev  |     await self._transaction.start()
app_dev  |   File "/usr/local/lib/python3.11/site-packages/asyncpg/transaction.py", line 138, in start
app_dev  |     await self._connection.execute(query)
app_dev  |   File "/usr/local/lib/python3.11/site-packages/asyncpg/connection.py", line 317, in execute
app_dev  |     return await self._protocol.query(query, timeout)
app_dev  |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
app_dev  |   File "asyncpg/protocol/protocol.pyx", line 323, in query
app_dev  |   File "asyncpg/protocol/protocol.pyx", line 707, in asyncpg.protocol.protocol.BaseProtocol._check_state
app_dev  | asyncpg.exceptions._base.InterfaceError: cannot perform operation: another operation is in progress

Is there a way I can await async queries in the debug console?
Please let me know if this is a sqlAlchemy issue.

Comienza reproduciendo el comando de debugpy con Python 3.11, asyncpg 0.27.0, PostgreSQL 15.1 y SQLAlchemy AsyncSession; después, inspecciona dónde se origina el error de operaciones concurrentes. Determina si el comportamiento corresponde a asyncpg, SQLAlchemy o debugpy; el trabajo requiere una corrección confirmada o una resolución claramente documentada.