I am migrating to langchain version 0.2 in my project, which now requires installing LLM models separately. I attempted to install langchain-openai using:
pipenv install langchain-openai
However, this conflicts with another package in my environment:
openai = "==1.3.5"
It seems I need to find a compatible version of langchain-openai that works with openai==1.3.5 or consider upgrading openai without breaking my current code.
My question is: How can I determine which version of the openai SDK is compatible with specific versions of langchain-openai? I’ve checked PyPI, but I couldn’t find detailed information about dependencies between these packages.
Terminal output:
pipenv install langchain_openai
Loading .env environment variables...
Installing langchain_openai...
Resolving langchain_openai...
Added langchain-openai to Pipfile's [packages] ...
Installation Succeeded
Pipfile.lock (244de0) out of date, updating to (fca94c)...
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
Locking Failed!
[== ] Locking...False
CRITICAL:pipenv.patched.pip._internal.resolution.resolvelib.factory:Cannot install -r C:\Users\MUBASH~1\AppData\Local\Temp\pipenv-uudymc5q-requirements\pipenv-ustatlmc-constraints.txt (line 48), -r C:\Users\MUBASH~1\AppData\Local\Temp\pipenv-uudymc5q-requirements\pipenv-ustatlmc-constraints.txt (line 68) and openai==1.3.5 because these package versions have conflicting dependencies.
Any guidance on how to proceed would be greatly appreciated.
To resolve this issue, you can take the following steps to identify a compatible version of langchain-openai with openai==1.3.5 or upgrade openai without breaking your existing code:
1. Check Dependencies Compatibility:
The best approach is to check the langchain-openai package dependencies to see which version of openai it requires. Since this information isn’t always clearly listed on PyPI, you can do this by:
Checking the langchain-openai repository: Visit the LangChain GitHub repository and look at the requirements.txt or setup.py files for the version of langchain-openai you intend to use. These files typically list the exact versions of dependencies, including the openai SDK.
Exploring Release Notes: Sometimes, release notes (changelog) for a package version provide information on updated dependencies. Check the langchain or langchain-openai release notes for any specific mentions of openai compatibility.
2. Pinning langchain-openai Version:
After determining a compatible langchain-openai version, you can pin that version in your Pipfile:
If you find that no version is compatible with openai==1.3.5, then you may need to consider upgrading openai.
3. Upgrade the openai SDK:
If you choose to upgrade the openai SDK, ensure that your current codebase is compatible with the newer version. You can:
Review openai SDK Release Notes: Look at the release notes of the newer openai versions to understand any breaking changes or deprecations that may affect your code.
Test in a Separate Environment: Set up a separate virtual environment and install the latest openai version to test your current code. This way, you can identify any issues before fully upgrading in your project environment.
4. Determine Dependency Resolution:
Use pipdeptree: You can install pipdeptree to visualize the dependency tree and see which versions are being installed and where the conflicts lie.
pipenv install pipdeptree
pipenv run pipdeptree
This tool will help you identify the exact dependency causing the conflict and make it easier to resolve.
5. Consult the Community or LangChain Developers:
If you’re still having trouble, you might consider reaching out to the LangChain community via their GitHub discussions or issues pages, or on platforms like Stack Overflow. The developers may have insights on resolving version conflicts.
By following these steps, you should be able to either find a compatible version of langchain-openai or safely upgrade your openai SDK to the latest version without breaking your existing code.
I found a way to determine the compatible version of the openai SDK for a specific langchain-openai version:
Visit the PyPI page for langchain-openai.
Go to the Release history section and select a version of interest.
Click on Source Code (or go to the repository directly).
Navigate to the /libs/partners/openai directory if you accessed the main repo; the source code link will take you directly to this directory.
Open the pyproject.toml file, where you can find the exact openai version that the langchain-openai version depends on.
If needed, switch the branch/tags to another version to check compatibility with different versions.
This method allowed me to identify the compatible version for my project. But things don’t end there. I now need to figure out what version of langchain-openai works with the rest of the langchain modules.
Edit: Scratch this. The langchain-openai is inside a langchain version so no further search is necessary.
Users of the forum must adhere to OpenAI policies. Like:
Failing to disclose that the output is generated by a chatbot
So be transparent that the (poor) answers you’re filling the forum with are a product of AI, and where the AI text starts, and that you actually understand and have verified what is written and that it is truthful and effective, instead of an automated irrelevant time waste that’s gonna have people press flag instead of like.
The requirement for a particular library version is not obvious: nothing in the newest OpenAI version should break compatibility, where as you’d be blocked from using scale compute or other new API features in a locked aging version. It perhaps is just safety that it could break something.
The langchain wheel module requirements should be something more like “openai<2.0”. Make a venv for just running langchain, I guess.
Proofreading with AI seems like it would have merits here…
“What exactly are you implying? Are you attempting to confront me aggressively? That will not stand. I have repeatedly clarified my point to the forum; it seems you acted on my advice without proper consideration and are now trying to pin the outcome on me. I’ve dedicated the past ten years to studying computer science and, based on my knowledge, the requests were clearly addressed to what they needed, not what you assumed.”
Copying unverified AI responses to a user’s questions that you didn’t write yourself, though, telling people to vet everything you reply (as what you represent as your own writings is solely going to be an unreliable AI product), is without value.