Virtual Environments (venv, conda, etc.)
This page clarifies how the Secrets Manager works with virtual environments in the Python sense (venv, virtualenv, pipenv, Poetry, conda). The short answer: no special handling is needed. The mental model is different from WSL or containers — there is no boundary to cross.
Same process, no boundary
A virtual environment is not a separate machine or kernel. It’s the same OS process: you activate the venv (which sets PATH and maybe VIRTUAL_ENV), then run python. That process inherits the same environment as the shell (including any env vars we injected at the shell level, or it loads .env from the current working directory).
So there is nothing to "connect" — we’re already in the same process. The venv only chooses which Python interpreter and which packages are used; it doesn’t change where the process reads files from or what env vars it sees.
What this means in practice
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Copy to .env: We write
.envin the project directory. The Python process (whether or not it’s using a venv) will see that file when it runs in that directory — as long as the app loads.env(e.g.python-dotenv). The venv doesn’t change that. -
Inject: If we wrap the run command (e.g. a script that gets secrets and runs
python app.py), we can run that with the venv activated (source .venv/bin/activate; env API_KEY=… python app.py). The venv only affects whichpythonis used; the env vars we inject are still in the process environment.
No extra "venv plugin" is required. Secrets flow in via the same mechanisms (.env in the project, or injection into the process that runs Python). For environments that do have a boundary (WSL, Docker, VMs), see Connecting to WSL and Docker and Docker Secrets.