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langchain-ai / langgraph-studio

Desktop app for prototyping and debugging LangGraph applications locally.
https://studio.langchain.com
1.97k stars 131 forks source link

[Feature Suggestion] Bring your own environment. #96

Closed jcoombes closed 2 months ago

jcoombes commented 2 months ago

I have set up my python following https://alysivji.github.io/setting-up-pyenv-virtualenvwrapper.html

failed to solve: process "/bin/sh -c PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*" did not complete successfully: exit code: 1

Why can't I just use my own environment, especially if I want to switch to uv pip in the future.

dqbd commented 2 months ago

Hello! We use Docker to build the API image of the graph, which can be then deployed to LangGraph Cloud, thus it is required to describe the expected environment via requirements.txt and/or pyproject.toml, thus bringing own environment is currently not planned.